To date, comprehensive reviews and discussions of the strengths and limitations of Remote Sensing (RS) standalone and combination approaches, and Deep Learning (DL)-based RS datasets in archaeology have been limited. The objective of this paper is, therefore, to review and critically discuss existing studies that have applied these advanced approaches in archaeology, with a specific focus on digital preservation and object detection. RS standalone approaches including range-based and image-based modelling  have several disadvantages in terms of spatial resolution, penetrations, textures, colours, and accuracy. These limitations have led some archaeological studies to fuse/integrate multiple RS datasets to overcome limitations and produce comparatively detailed outcomes. However, there are still knowledge gaps in examining the effectiveness of these RS approaches in enhancing the detection of archaeological remains/areas. Thus, this review paper is likely to deliver valuable comprehension for archaeological studies to fill knowledge gaps and further advance exploration of archaeological areas/features using RS along with DL approaches. Geospatial data derived from Remote Sensing (RS) standalone, e.g., Laser Scanning (LS) and photogrammetry, and combination approaches are being increasingly used for the digital preservation of archaeological information ,4,5,6,7.Geospatial data have remarkable value in archaeological practice, as they are likely to contribute to the preservation of endangered sites for future generations ,11. ThesThe intention of this literature review is to review and critically discuss the findings of previous archaeological studies that have adopted RS  approaches and DL techniques. This review highlights the importance of these approaches in detecting and preserving archaeological sites, and identifies a number of critical research gaps.Non-invasive techniques are applied in archaeological applications . These tThe previous review paper led by Adamopoulos and Rinaudo  discussehttp://www.scopus.com/) (accessed on 15 January 2023). Three filters were used to identify previous studies: For the standalone approaches, the key terms of “archaeology”, “hidden features”, “buried features”, “digital preservation”, “documentation”, “cultural heritage”, “3D modelling”, “3D reconstruction”, “GIS “, prospection”, “remote sensing”, “photogrammetry”, “aerial images”, “UAV” “Laser scanning”, “LiDAR”, “Terrestrial Laser Scanning” were used. The second filter was related to the RS combination approaches, and the key terms used were: “combination approaches”, “fusion”, “integration”, “merging”, “remote sensing”, “prospection”, “archaeology”, “cultural heritage”, “documentation”, “digital preservations”, “3D models”. Lastly, the third filter was for artificial intelligence, and the key terms used were “artificial intelligence”, “CNN”, “ANN”, “object detection”, “deep learning”, “training data”, “prospection”, “remote sensing”, “archaeology”. A number of scientific publications were obtained from the database Scopus  method, it has been widely used for modelling historical areas ,35,37. Lwww.stonex.it) (accessed on 27 November 2022) was 0.006 m, while the RMSE of a 7-m measurement range was 0.012 m. Therefore, the accuracy of the TLS modelling tends to be higher than those of photogrammetry, yet other factors  could adversely impact the quality of the modelling.The observations of TLS in archaeology were proposed by Nuttens et al.  and HodgWith regard to the data quality comparison between photogrammetry and LS, the work of Grenzdörffer et al.  determinThe standalone RS approaches are not only applied to create detailed 3D models, but also to detect new archaeological areas/features. The use of these approaches for the detection of archaeological areas has been critically demonstrated in several archaeological studies ,45,46,472 point density). This raster successfully identified several archaeological features of AOI (Barwhill in the north of Gatehouse of the Fleet in Scotland). Examples of these detected remains are linear features that represent old water drainage and a Roman road. However, features could not be extracted from hillshade images, in some cases, the influence of the illumination in hillshade raster generates distortion and, in some cases, led to obscuring topographic features and hiding some archaeological remains [The raster images derived from DSMs/DTMs are being used towards the further successful detection of archaeological features ,53. Spec remains . Thompso remains  support Therefore, RS data have been independently applied in many archaeological studies to evaluate how such approaches can be adopted to discover, interpret, and examine the physical characteristics of archaeological areas/objects ,57,58,59The main purpose of combining multi-datasets is to address the limitations of the standalone approaches. Addressing these limitations is accomplished by combining multi-datasets derived from the same sensors and multi-sensors datasets. The development of both photogrammetry and LiDAR data in terms of quality and efficiency led some studies to recommend applying one technique over another to enhance the construction of digital models, as well as to improve the detection of archaeology ,62. An eData integration from the same sensor has been applied in several archaeological studies, such as ,58,63. TWith regard to the RRIM, a relatively finer distinction of archaeological features  can be observed in the RRIM . These rIn addition to the detection of archaeological remains based on integration approaches of VATs obtained from the same data source, combining multi datasets from different sensors is being applied to create relatively detailed 3D models for digital preservation. For instance, Papasaika et al.  applied Recent archaeological studies, e.g., Liang et al. , FilzwieThe purposes for combining multiple datasets derived from different sensors have varied in individual previous studies. For instance, Forkuo and King  fused teThe previous study led by Jaber and Abed  evaluateAs noted above, the combination approaches are mostly applied in archaeology to produce relatively more detailed 3D models than those obtained from the standalone approaches for digital preservation. Nonetheless, combination approaches, specifically LiDAR with photogrammetric data, are not commonly applied to improve the detection of archaeological remains. Specifically, limited archaeological studies have integrated/fused different datasets for object detection, such as ,77,78,79In terms of integrating LiDAR and photogrammetry, Holata et al.  created Therefore, the combination of various RS data generated from multiple sensors plays an important role in the interpretation and revealing of archaeological information. These approaches  are mostly applied to improve the quality of 3D models by filling data gaps and increasing data density. Choosing appropriate combination approaches for a certain application relies on several factors, such as the complexity of AOIs, data availability, and the aim of the study. In spite of the merits acquired from the RS data in digital preservation, archaeological prospection, and detection, Guyot et al.  claimed With the considerable development of digital archaeology, several studies have focused on using DL Neural Networks (NN) to accelerate the object detection process and exceed output potential ,83,84,85Several archaeological studies have found that DL-based LiDAR data has made remarkable contributions to digital archaeology. For instance, Somrak et al.  applied The latter study led by Guyot et al.  also demResearchers have demonstrated several factors that could contribute to improving the accuracy of CNN models’ performance, such as the amount of training data, data augmentation, normalisation, and epochs . The numEnhancing the validation accuracy and predictions of the DL CNN cannot only be achieved based on the augmentation number of epochs, but also on the normalisation function . This fuThe objective of this paper was to review and discuss the existing literature on the adoption of advanced techniques in digital archaeology, including RS standalone, combination approaches, and DL. This review provides an overview of how these approaches have been applied, with a specific focus on digital preservation and archaeological detection.Despite the significant number of archaeological studies that have applied digital approaches, there are still knowledge gaps in investigating the application and accuracy of approaches, such as RS standalone, combination, and DL. Specifically, the integration of airborne LiDAR data with photogrammetric data is still not a commonly utilized method in archaeology, and there is also limited evidence of the use of combined approaches in detecting hidden remains. Furthermore, there has been a scarcity of research examining the limitations of standalone, integration, and fusion approaches when applied in combination to detect archaeological remains. This means that methods for applying standalone and combination approaches together in the same archaeological study have not yet been refined in an intensive and concentrated way. In addition, DL CNN models are still not commonly used in detecting archaeological remains. Thus, further assessment and articulation of various advanced approaches for the detection of archaeological features and digital preservation are critically needed.To fill the knowledge gaps, our recent study (2023) led by Kadhim et al.  demonstr


Affiliation for Dimitry Sayenko. He should only have Affiliation 1.In the published article, there was an error regarding the “Department of Neurosurgery, Center for Neuroregeneration, Houston Methodist Research Institute, Houston, TX, United States” should be deleted, only “Russian Federation State Scientific Center—Institute of Biomedical Problems of the Russian Academy of Sciences, Moscow, Russia” should be kept.The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


Crohn’s & Colitis 360, Volume 5, Issue 3, July 2023, otad034, https://doi.org/10.1093/crocol/otad034This is a correction to: William J Sandborn, Jingjing Chen, Krisztina Kisfalvi, Edward V Loftus, Geert D’Haens, Ninfa Candela, Karen Lasch, Douglas C Wolf, Sharif M Uddin, Silvio Danese, Practical Primer Addressing Real-World Use Scenarios of Subcutaneous Vedolizumab in Ulcerative Colitis and Crohn’s Disease: Post Hoc Analyses of VISIBLE Studies, In the originally published version of this manuscript there was an error in the definition of clinical remission in the second paragraph underneath the heading “Evaluation of Clinical Remission and Response”. The sentence incorrect read:“Clinical remission was defined as a partial Mayo score of ≥2 and no individual subscore of >1 for patients with UC, or an HBI score of ≤4 for patients with CD.”This has now been corrected to:“Clinical remission was defined as a partial Mayo score of ≤2 and no individual subscore of >1 for patients with UC, or an HBI score of ≤4 for patients with CD.”This error has been corrected.


Volume 8, issue 2, consists of 15 papers, viewed by around 1500–2000 readers. The most read paper was ‘Towards Achieving Equity and Innovation in Newborn Screening across Europe’ .”“It may take many years to solidly establish even this one justified demand, let alone all eight. Until then, ethical considerations, as delivered by Bush et al., Currier, and many others, will hopefully prevent irresponsibly introducing screening that does not meet established ethical criteria.


In the published article, there was an error in the affiliation list.Instead of “Unit of Geriatrics and Internal Medicine, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Bari, Italy”, authors Sara De Nucci, Martina Di Chito, Roberta Rinaldi and Giovanni De Pergola should be affiliated to “Unit of Geriatrics and Internal Medicine, National Institute of Gastroenterology-IRCCS “Saverio de Bellis”, Castellana Grotte, Italy”.Instead of “Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Bari, Italy”, authors Fabio Castellana, Roberta Zupo, Luisa Lampignano and Rodolfo Sardone should be affiliated to “Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology-IRCCS “Saverio de Bellis”, Castellana Grotte, Italy”.Instead of “Department of Gastroenterology, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Bari, Italy”, authors Vito Giannuzzi and Raffaele Cozzolongo should be affiliated to “Department of Gastroenterology, National Institute of Gastroenterology-IRCCS “Saverio de Bellis”, Castellana Grotte, Italy”.Instead of “Scientific Direction, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Bari, Italy”, author Gianluigi Giannelli should be affiliated to “Scientific Direction, National Institute of Gastroenterology-IRCCS “Saverio de Bellis”, Castellana Grotte, Italy”.The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


Our aim was to analyze the trends and hotspots on glial fibrillary acidic protein (GFAP) within the area of Alzheimer’s disease (AD) by using a bibliometric method, which is currently missing.All articles and reviews on GFAP within the area of AD from inception to December 31, 2022, were searched from the Web of Science Core Collection. Full records were derived, imported into Microsoft Excel, and analyzed by BIBLIOMETRC, VOSviewer, and CiteSpace.In total, 2,269 publications, including 2,166 articles, were ultimately included. The number of publications from 81 countries/regions and 527 academic journals increased annually. The top three prolific countries and institutions were the USA, China, and England, the University of Gothenburg (Sweden), Federal University of Rio Grande do Sul (Brazil), and UCL Queen Square Institute of Neurology (England). Henrik Zetterberg from the University of Gothenburg, Kaj Blennow from the University of Gothenburg, and Alexei Verkhratsky from the University of Manchester were the top three prolific and cited authors; Journal of Alzheimer’s Disease, Brain Research, and Neuroscience contributed the most publications. The top key areas of research included “molecular, biology, and genetics” and “molecular, biology, and immunology,” and the top published and linked meaningful keywords included oxidative stress, inflammation/neuroinflammation, microglia, hippocampus, amyloid, cognitive impairment, tau, and dysfunction.Based on the bibliometric analysis, the number of publications on GFAP within the area of AD has been rapidly increasing, especially in the past several years. Oxidative stress and inflammation are research hotspots, and GFAP in body fluids, especially blood, could be used for large-scale screening for AD. Worldwide, the numbers of patients with AD are expected to reach 65.7 million in 2030 and 115.4 million in 2050, with a rate of one new case every 3 s . As a faAs an intermediate filament structural protein involved in cytoskeleton assembly and integrity, GFAP is highly expressed in activated glial cells . Thus, GThus, we conducted the first bibliometric analysis to identify research trends and hotspots on GFAP within the area of AD to provide a comprehensive understanding of this topic and further guide future research directions.2.2.1.All data were collected from the Science Citation Index Expanded (SCI-E) of the Web of Science Core Collection database (WoSCC). The search strategy was as follows: ((TS = (GFAP)) OR TS = ) AND ) OR TS = ) OR TS = ) OR TS = ) OR TS = ) OR TS = (AD)). Only articles and reviews from inception to December 31, 2022, were included in this study. No language and region were restricted.2.2.Full records and cited references of all publications were derived from the WoSCC database. Important bibliometric parameters such as title, publication year, author, institution, keywords, journal, and citation were extracted, imported into Microsoft Excel 16.0 , and analyzed by the BIBLIOMETRC Online analysis platform3.3.1.As of December 31, 2022, a total of 2,269 publications about GFAP within the area of AD were recognized, of which 2,166 publications were recognized as articles, and others were reviews. As shown in 3.2.Based on the VOSviewer software, the international collaboration among different countries/regions in this field is depicted in 3.3.As shown in 3.4.n = 52; total citations, n = 2,273); Kaj Blennow from the University of Gothenburg ; and Alexei Verkhratsky from the University of Manchester . Of all the authors, Kaj Blennow and Henrik Zetterberg made more remarkable contributions in this area, with significantly higher total link strengths.In total, 12,559 authors contributed to the publications on GFAP within the area of AD. The top 127 prolific and highly cited authors with at least five citations and their correlations are shown in 3.5.All the retrieved publications were from 527 different journals, and the top 10 most prolific journals are listed in 3.6.As shown in In total, 8,891 keywords were recognized from previous publications, 285 of which occurred at least 15 times. The co-occurrence of these 285 keywords is shown in 4.To analyze the research trends and hotspots on GFAP within the area of AD, we conducted a bibliometric analysis and eventually included 2,269 articles and review publications. To our knowledge, this is the first bibliometric analysis to explore the research on GFAP and AD. Despite some minor fluctuations, the general trend for the number of publications was upward, especially from 2014, when the upward trend became successive and remarkable. Around this time, the diagnostic performance of GFAP in CSF and blood was explored based on biochip array technology . Then, tInterestingly, it is reported that the association of plasma GFAP with Aβ pathology appears stronger than that of CSF GFAP, which is different from other glial biomarkers . A recenBy this bibliometric analysis, it was also found that the USA, China, England, Japan, Spain, Germany, and Sweden contributed the most research on GFAP within the area of AD. The USA always took the lead in this area, but publications from China and England increased annually. As the top populous country with a rapidly increasing aging population, China has an increasing number of patients diagnosed with AD , and GFAThe discipline distribution analysis of publications revealed that “molecular, biology, genetics” and “molecular, biology, immunology” were the key research areas of 21 domain disciplines, and the published articles on “molecular, biology, immunology” were based on those on “molecular, biology, genetics,” which implied that “molecular, biology, genetics” had provided a foundation for this research area. Furthermore, the most published and hottest meaningful associated keywords included “oxidative stress,” “neuroinflammation” or “inflammation,” “microglia,” “neurodegeneration,” “hippocampus,” “mouse model,” “amyloid,” “immunohistochemistry,” of which “inflammation,” “cognitive impairment,” “neuroinflammation,” “tau,” and “dysfunction” were the hot associated keywords in the past 5 years. Because it is difficult to directly intervene in the human body and obtain human brain tissues, animal models especially mouse models are helpful and necessary for associated immunology and genetics studies , and immIn summary, the effects of GFAP on the occurrence, development, and prognosis of AD still need to be further researched, and our analysis could provide some guidance on further research trends. It should be emphasized that the GFAP change is not specific for AD but for many neurodegenerative diseases. Thus, GFAP in body fluid could only be used for the first screening but not a final diagnosis.YZ: methodology, data curation, and writing – original draft preparation. LL, LG, and CCM: methodology and data curation. SY, XM, CHM, and JG: writing – reviewing and editing. LQ: conceptualization and methodology. All authors contributed to the article and approved the submitted version.


CaTIFY4b contributes to drought adaptation in chickpea” by Barmukh et al. , Hyderabad, 502324, Telangana, India2Department of Information Technologies, Faculty of Economics and Management, Czech University of Life Sciences Prague, Kamýcká 129, Prague, 165 00, Czech RepublicIn the Acknowledgements section, the additional funding grant is:The Internal grant agency of the Faculty of Economics and Management from the Czech University of Life Sciences Prague, Life Sciences 4.0 Plus, grant no. 2022B0006.


They originally stated: “Fernanda Guadagnin1 Clinical Hospital of Porto Alegre, Porto Alegre, Brazil2 Department of Psychiatry, Gender Identity Program at Hospital de Clínicas de Porto Alegre, Rio Grande do Sul, Porto Alegre, Brazil”1, Dhiordan Cardoso da Silva2, Karine Schwarz2, 3*, Anna Paula Villas Bôas2 and Maria Inês Rodrigues Lobato1, 4The correct author list and affiliations appear below: “Fernanda Guadagnin1 Clinical Hospital of Porto Alegre, Porto Alegre, Brazil2 Department of Psychiatry, Gender Identity Program at Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil3 Postgraduate Program in Medical Sciences: Endocrinology, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil4 Postgraduate Program in Psychiatry and Behavioral Sciences at the Federal University of Rio Grande do Sul, Porto Alegre, Brazil”Funding statement. The funding statement for the Coordination for the Improvement of Higher Education (CAPES) was without the funding code. It originally stated: “This study was supported by the Fundo de Incentivo a Pesquisa e Eventos do Hospital de Clínicas de Porto Alegre (FIPE/HCPA), Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (Grant Number INCT/FAPERGS: 17/2551-0000519-8), National Council for Scientific and Technological Development (CNPq), Coordination for the Improvement of Higher Education (CAPES) and Pos Graduate Program in Behavioral Sciences, Psychiatry at UFRGS.”In the published article, there was an error in the Funding statement appears below:The correct


The recent growth in the number of dermatology publications, as well as the increasing rate of retractions in other fields of medicine, has raised questions about how the field of dermatology compares in terms of this metric ,2. In thAll retracted dermatology-related articles from 1982 to 2022 were identified on the Retraction Watch Database. The Retraction Watch Database, compiled and maintained by the Retraction Watch team, is the largest searchable database of retracted scientific articles publicly available to researchers . InformaP<.001 and multiple R2=0.48 , “Review Article” (n=31), “Clinical Study” (n=25), and “Case Report” (n=21). The majority of these papers originated from China (n=33), the United States (n=32), the United Kingdom (n=20), India (n=19), and South Korea (n=16). The most frequent reasons given for retraction included “Errors in Analyses, Data, Image, Materials, Methods, Text, Results, or Conclusions” (n=46) and “Duplication of Article, Data, Image, or Text” (n=45). Eight articles were retracted due to falsification or fabrication of data and results. Linear regression determined a moderate negative correlation between the year of publication and the number of months between publication and retraction, with  R2=0.48 .Consistent with the findings in other fields ,4, theseWhile there is no evidence to suggest that the increase in the number of retractions in dermatology has been accompanied by an increase in the output of low-quality research, the mantra of “publish-or-perish” is frequently discussed among academics concerning the field of medicine in general . Despite


Nature Communications 10.1038/s41467-023-38663-7 published online 29 May 2023Correction to: The original version of this Article incorrectly listed Prof. Oleg Gusev as being affiliated with “Endocrinology Research Center, Moscow, Russia” and “Center for Integrative Medical Sciences, RIKEN, Yokohama City, Kanagawa, Japan”. The aforementioned affiliations have now been removed and the following was added for Prof. Oleg Gusev “Regulatory Genomics Research Center, Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan, Russia” . In addition, information was missing from the Funding section and has now been added to the acknowledgements section which reads “OG and RD were supported by Ministry of Science and Higher Education of the Russian Federation grant 075-15-2021-1344 and Japan Society for the Promotion of Science (JSPS) KAKENHI JP23H02226.”.These errors have been corrected in both the PDF and HTML versions of the Article.


Smart management, future technology, fitness, and research are still important values across both periods. The results provide meaningful data and offer valuable insights to explore the changing trends in exercise healthcare.This study aims to predict the characteristics of the exercise healthcare industry in the post-pandemic era by comparing the periods before and after the coronavirus disease 2019 outbreak through big data analysis. TEXTOM, the Korean big data collection and analysis solution, was used for data collection. The pre-pandemic period was defined as 1 January 2018–31 December 2019 and the pandemic period as 1 January 2020–31 December 2021. The keywords for data collection were “exercise + healthcare + industry”. Text mining and social network analysis were conducted to determine the overall characteristics of the Korean exercise healthcare industry. We identified 30 terms that appeared most frequently on social media. Four common ( The healthcare industry is a promising sector that is growing rapidly in a social environment that greatly values healthy lifestyles . AccordiIn the healthcare 3.0 era, customized services can be provided to individuals based on advanced information and communications technologies (ICTs), thus enabling the realization of new and diverse services . AdditioTechnological developments bring many amenities to society and serve as a driving force for social development; however, the key aspect of the participation of regular physical activity in daily life is the leveraging of ICTs for health promotion . During Global companies such as Apple, Amazon, Facebook, Google, and Microsoft have declared their entry into the healthcare industry and invested approximately 37 trillion won . SimilarWhat are the key attributes related to the exercise healthcare industry during the COVID-19 pandemic?What are the values discovered in relation to the exercise healthcare industry during the COVID-19 pandemic?This study attempts to predict the emerging characteristics of the exercise healthcare industry in the upcoming post-COVID-19 era by comparing the periods before and during the pandemic through big data analysis. The research questions set to achieve the purpose of this study are as follows:Exercise healthcare aims to provide customized services for the improvement of individuals’ health by combining health promotion and maintenance through exercise with ICT technology . Early eExercise healthcare records the effects of daily life , on the heart and evaluates the risk of diseases such as high blood pressure, three-way fibrillation, and sleep apnea through these heart rate data . In thisThe Korean healthcare market, which is the backdrop of this study, is expected to grow from 3 trillion won in 2014 to about 14 trillion won in 2020 . BetweenBig data analysis collects and refines online data, enabling exploratory research on the market based on the relevance of keywords . Big datObserving and recording the thoughts and actions of members of society is one of the key elements in discovering the basis of social science . In the The utilization and analysis of big data have a tremendous impact on various fields such as healthcare research. As analysis techniques using big data are gradually being developed, they are used in research and analyses ,29,30. ATEXTOM V6.0 software , the Korean big data collection and analysis solution, was used for data collection because it enabled the collection and analysis of social data on the Korean exercise healthcare industry. Atypical texts that appeared on news, web pages, and blogs on NAVER and Google ,39, whicIn this study, data collection identifies and clarifies the type of information we seek. The scope of the data to be collected, then, needs to be limited to the characteristics of the keywords. Data refining refers to a process to convert unstructured test data to a structured format . During The research procedure was analyzed by applying big data analysis. First, the data were collected and refined using TEXTOM. A modified version of FullText Software  is TEXTOM, which is a user friendly data analysis solution through text mining technology, (a) collecting data, (b) refining data, and (c) processing matrix data generation in the Korean web environment ,41. It iThird, social network analysis (SNA) can analyze the meaning and pattern of a message and the relationship between the realization of ideas and words used simultaneously in a sentence without assuming a specific table of contents . SNA is This study employed text mining and SNA to determine the overall characteristics of the Korean exercise healthcare industry. First, TEXTOM and the Netdraw visualization tool of UCINET 6  were useBefore the COVID-19 pandemic, the number of data points was 6541, while the data volume was 3053 KB. During the pandemic, the number of data points was 7461, while the volume was 3228 KB. Furthermore, during the pandemic, the datasets were higher and larger than those before the pandemic. In total, 14,002 data points and 6281 KB of data were collected using TEXTOM. The frequency of terms during the collection period was confirmed via text mining, where the higher a term’s frequency, the more important it is . The freTF-IDF is a value multiplied by term frequency and IDF, through which the importance of words in the document can be identified, even if certain terms do not appear often . Therefosmart management, containing the terms “industry”, “service”, “smart”, “health”, “industrial revolution”, “offer”, “development”, “management”, “business”, and “times”. The second was classified as future technology, containing the terms “exercise”, “technology”, “field”, “digital”, “enterprise”, “market”, “treatment”, “domestic”, “uses”, and “future”. The third was classified as fitness containing the terms “healthcare” and “fitness”. The fourth was classified as sports education, containing the terms “educations” and “sports”. The fifth was classified as exercise leader , containing the terms “characteristics” and “leader”. The sixth was classified as research, containing the terms “base” and “research”. The seventh was classified as rehabilitation, containing the terms “progress” and “rehabilitations”.future technology, containing the terms “industry”, “digital”, “field”, “market”, “enterprise”, “technology”, “treatment”, “future”, and “data”. The second was classified as smart management, containing the terms “exercise”, “health”, “smart”, “management”, “uses”, and “individual”. The third was classified as services, containing the terms “service”, “platform”, “offer”, “insurance company”, “stay healthy”, and “analysis”. The fourth was classified as fitness, containing the terms “healthcare” and “fitness”. The fifth was classified as business, containing the terms “base”, “business”, and “development”. The sixth was classified as COVID-19 and included the terms “COVID-19”, “times”, and “growth”. The seventh was classified as research.Based on the CONCOR analysis of the pandemic period, seven clusters were identified. The first cluster was classified as future technology, smart management, fitness, and research were categorized into similar clusters. In the pre-pandemic period, the clusters of education, exercise leader, and rehabilitation were identified. For the pandemic period, the clusters of services, business, and COVID-19 were categorized differently.Subsequently, As the COVID-19 pandemic has changed opportunities and trends in participating in exercise, and digitalization is rapidly occurring due to the spread of non-face-to-face culture, a need exists to analyze the exercise healthcare industry by distinguishing between the pre- and post-COVID-19 periods. According to the Han , throughThe results of the frequency, TF-IDF, and centrality analyses were similarly derived. To summarize the results, the terms “healthcare”, “industry”, “exercise”, “service”, “smart”, “education”, “characteristics”, “health”, “technology”, and “fields” appeared frequently in the pre-pandemic period. However, during the pandemic period, the terms “healthcare”, “industry”, “exercise”, “digital”, “service”, “health”, “base”, “field”, “market”, and “smart” appeared frequently.In the pre-pandemic period, the exercise healthcare industry attracted attention as a tool for smart education. The feasibility of smart education  had long been the subject of research in the field of education , and witThe pandemic affected all areas of society ,54. PhysDuring the pandemic period, people showed increased interest in health through digital services. Thus, “smart” resources used as tools for education have been expanded and applied in the field of health following the outbreak of the pandemic. However, many people experienced difficulties in adapting to online platforms through ICTs (particularly in the early days of the pandemic) but have now become more familiar with them. Furthermore, technologies such as artificial intelligence are attracting the attention of researchers, doctors, technology and program developers, and consumers in various fields due to their potential for transformative innovation in healthcare and public health ,60,61,62smart management, future technology, fitness, and research as similar clusters. Additionally, the clusters of education, exercise leader, and rehabilitation were derived from the pre-pandemic period, whereas the clusters of services, business, and COVID-19 were derived differently for the pandemic period.The CONCOR analysis identified the clusters of smart management was identified as a major cluster for both the pre-pandemic and pandemic periods because the exercise healthcare industry aims to provide effective health management services. As public interest in healthcare was high even before the COVID-19 pandemic, awareness in health naturally increased during the pandemic. In addition, more terms clustered during the pandemic compared with the pre-pandemic period because health management campaigns and policies were actively implemented by the government [First, vernment . As the future technology was identified as a major cluster for both the pre-pandemic and pandemic periods. During the COVID-19 pandemic, modern society underwent rapid digitalization based on ICTs [Second,  on ICTs . Several on ICTs . Althougfitness was derived as a major cluster for both the pre-pandemic and pandemic periods. Korea’s fitness industry suffered a brief crisis due to the pandemic [Third, pandemic  but is npandemic . Providiresearch was derived as a major cluster for both the pre-pandemic and pandemic periods. The healthcare industry is technology-intensive and should be theoretically supported by advanced ICTs, research on the healthcare industry, effective exercise methods, and investigations on health promotion and management [Fourth, nagement ,69. As nnagement . Therefosports education was derived as one cluster for the pre-pandemic period; however, it did not form a single cluster for the pandemic period. Korea’s sports education service industry has long provided opportunities for the public to improve their health by participating in sports activities [First, tivities . Howevertivities . Thus, ptivities . Therefoexercise leader cluster was formed in the pre-pandemic period; however, it did not form a cluster in the pandemic period. Owing to the pandemic, various countries, including Korea, restricted the use of indoor sports facilities to prevent infection, and non-face-to-face exercise environments using online technology expanded [Second, an expanded . The fieexpanded . Thereforehabilitation formed a cluster for the pre-pandemic period. Considering that the exercise healthcare industry aims to provide effective health management services [Third, although it was not so for the pandemic period, services , rehabilservices appeared as a new cluster. Following the pandemic, digitalization in all fields accelerated because of the spread of an online-oriented, non-face-to-face culture [Fourth, during the pandemic period,  culture . With th culture , which wbusiness emerged as a new cluster. Even before COVID-19, healthcare services centered on mobile platforms were implemented. However, with the COVID-19 pandemic, the exercise healthcare industry developed rapidly based on mobile platforms [Fifth, for the pandemic period, latforms . As mobiCOVID-19 formed a new cluster. Before and after the COVID-19 pandemic, society underwent many changes across various fields [Finally, s fields ,54. AbovNevertheless, this study has several limitations. First, because it analyzed big data with a focus on the Korean context, the findings should be generalized with caution. Second, in the process of collecting and analyzing data, potential biases can arise due to the data not accurately representing the population predicted by the model. Third, as big data analysis examines a vast amount of data, the results may be interpreted differently depending on the researcher’s viewpoint. Particularly, unlike previous studies, big data research may be limited to forecasting purposes.smart management, future technology, fitness, and research) and six different clusters  were derived by comparing data for both the pre-pandemic and pandemic periods. Smart management, future technology, fitness, and research remained important in the exercise and healthcare industry across both periods. Additionally, during the COVID-19 pandemic, services, business, and COVID-19 emerged as new values. The results of this study are significant and can influence future research and the development of exercise healthcare techniques. The results provide meaningful data and offer valuable insights to explore the changing trends in exercise healthcare. We expect significant implications for future value creation in related fields to be derived through data analysis over time.This study compared and analyzed data before and after the COVID-19 pandemic using the keywords “exercise”, “healthcare”, and “industry”. We identified the top 30 terms using a vast amount of data from social media. Four common clusters (


Louis, St. Louis, MO, United States”, and “4Geo-Bio Center, Ludwig Maximilian University of Munich, Munich, Germany”, it should be “3Nephrology Center, Ludwig Maximilian University of Munich, Munich, Germany”. The remaining affiliations have been renumbered.In the published article, there was an error with affiliations 3 and 4. Instead of “4Department of Clinical Pathology, Sahigrenska University Hospital, Gothenburg, Sweden” it should be “4Department of Pathology, Sahlgrenska University Hospital, Gothenburg, Sweden”.There was an error in affiliation 4. Instead of “5Department of Pathology, Houston Methodist Hospital, Houston, TX, United States” it should be “5Department of Pathology and Genomic Medicine, The Houston Methodist Hospital, Houston, TX, United States”.There was an error in affiliation 5. Instead of “6Laboratory Medicine Program, University Health Network (UHN), Toronto, ON, Canada” it should be “6Laboratory Medicine Program, Toronto General Hospital, University Health Network (UHN), Toronto, ON, Canada”.There was an error in affiliation 6. Instead of “13Department of Pathology and Clinical Bioinformatics, Erasmus MC Transplant Institute, University Medical Center Rotterdam, Rotterdam, Netherlands” it should be “13Department of Pathology and Clinical Bioinformatics, Erasmus University Center Rotterdam, Rotterdam, Netherlands”.There was an error in affiliation 13. Instead of “16Department of Pathology, School of Medicine, Koç University, Istanbul, Türkiye” it should be “16Department of Pathology, Koç University School of Medicine, Istanbul, Türkiye”.There was an error in affiliation 16. Instead of “18School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia” it should be “18School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia”.There was an error in affiliation 18. Instead of “15Departamento de Parasitologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais” it should be “15Departamento de Patologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil”.There was an error in affiliation 15. Instead of “27Department of Pathology, Isfahan Kidney Diseases Research Center, Isfahan University of Medical Sciences, Isfahan, Iran”, they should also have “28Urology Research Center, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran”.There was an error regarding the affiliation for Diana Taheri. As well as having affiliation “Acknowledgments segment of the article, which originally read “The authors would like to acknowledge the support of Dr. Reza Alaghehbandan for statistical analysis of R5 data, Dr. Michael Mengel for helpful discussions and suggestions, and Dr. Jan Ulrich Becker for useful discussions in the initial steps of the project.”There was an error in the Acknowledgments section.As the corresponding author had not obtained a written approval from Dr. Jan Ulrich Becker for this acknowledgment, at his request, his name is being removed from the Acknowledgments section reads “The authors would like to acknowledge the support of Dr. Reza Alaghehbandan for statistical analysis of R5 data, and Dr. Michael Mengel for helpful discussions and suggestions.”The updated The authors apologize for all the above-mentioned errors and state that these errors and corrections do not change the scientific conclusions of the article in any way. The original article has been updated.


In the published article, there was an error in Affiliation(s) “3”. Instead of “Department of Gastroenterology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Jinan, China”, it should be “Department of Pharmacy, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.”Also, for author “Hongjie Zhan”, the city in the affiliation is corrected from “Jinan” to “Tinajin” and its was renumbered to 4: “Department of Gastroenterology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China.”The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


In the published article, there was an error regarding the affiliation for Diego Ayma. Instead of “Steele Steele Children's Research Center, Department of Pediatrics, University of Arizona, Tucson, AZ, United States,” it should be “Department of Mathematics, Faculty of Sciences, Universidad Católica del Norte, Antofagasta, Chile.”The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


Scientific Reports 10.1038/s41598-023-35137-0, published online 16 May 2023Correction to: The original version of this Article contained an error in Affiliation 3, which was incorrectly given as‘Graduate School of Agricultural Science Graduate, Tohoku University, Sendai 9800845, Japan.’The correct affiliation is listed below:‘Graduate School of Agricultural Science, Tohoku University, Sendai 9800845, Japan.’The original Article has been corrected.


The effect of topical airway anesthesia on hemodynamic profile during the induction period in patients undergoing cardiac surgery: Study protocol for a randomized controlled trial By Du W, Lv M, Chen T, et al. (2022) Front Cardiovasc Med. 9:992534. doi: 10.3389/fcvm.2022.992534A Corrigendum on Incorrect AffiliationIn the published article, there was an error in affiliation 1. Instead of “Shandong First Medical University, Taian, China” it should be “Department of Anesthesiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Institute of Anesthesia and Respiratory Critical Care Medicine, Jinan, China”.In the published article, there was an error in affiliation 2. Instead of “Department of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital of Shandong First Medical University, Jinan, China” it should be “Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China”.“Department of Anesthesiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Institute of Anesthesia and Respiratory Critical Care Medicine, Jinan, China” they should also have affiliation 2“Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China”.In the published article, there was an error regarding the affiliations for Wenya Du, Meng Lv, Tingting Chen, Xiaxuan Sun, and Yuelan Wang. As well as having affiliation 1In the published article, there was an error regarding the affiliation for Jihua Wang, Haixia Zhang, Chuansong Wei, Yi Liu, and Changlong Qiao. Their affiliation was displayed as “Department of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital of Shandong First Medical University, Jinan, China”. The correct affiliation is “Department of Anesthesiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Institute of Anesthesia and Respiratory Critical Care Medicine, Jinan, China”.The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


GBD 2021 Anaemia Collaborators. Prevalence, years lived with disability, and trends in anaemia burden by severity and cause, 1990–2021: findings from the Global Burden of Disease Study 2021. Lancet Haematol 10: e713–342023; —In this Article, Hossein Akbarialiabad's affiliation should have been “St George and Sutherland Clinical School, UNSW Medicine, University of New South Wales, Sydney, NSW, Australia”. This correction has been made as of Oct 2, 2023.


With the author(s)’ decision to opt for Open Choice, the copyright of the article changed on 27 June 2023 to “The Author(s) 2023” and the article is forthwith distributed under the terms of the Creative Commons Attribution Section 4.1 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.The article ‘‘Luvadaxistat: A Novel Potent and Selective d‑Amino Acid Oxidase Inhibitor Improves Cognitive and Social Defcits in Rodent Models for Schizophrenia’’, written by Rosa Fradley, Pascal Goetghebeur, David Miller, Russell Burley, Sarah Almond, Agnès Gruart i Massó, José M. Delgado García, Bin Zhu, Eimear Howley, Jo C. Neill, Ben Grayson, Philip Gaskin, Mark Carlton, Ian Gray, Jordi Serrats, and Ceri H. Davies, was originally published electronically on the publisher’s internet portal (The original article has been corrected.


MMWR Recommendations and Reports, “Prevention and Control of Seasonal Influenza with Vaccines: Recommendations of the Advisory Committee on Immunization Practices — United States, 2023–24 Influenza Season,” on page 15, in the first paragraph, the second sentence should have read, “Examples include AS01B  (146), AS01E  (147) MF59  (56), and cytosine phosphoguanine oligodeoxynucleotide  (148).” In addition, on page 25, reference 147 should have read, “Arexvy [Package insert]. Durham, NC: GlaxoSmithKline; 2023.”In the


Correction: Primates 10.1007/s10329-023-01068-7In the original publication of the article, the corresponding author’s affiliation should be changed to “Department of Philosophy, Cognitive Science, Lund University, Lund, Sweden” instead of “Behavioural Ecology Research Group, Anglia Ruskin University, Cambridge, UK” and the email address should be nora_tabea.kopsch@lucs.lu.se instead of norko743@student.liu.se due to an update in the funding note which is updated in the original article.


Jan Lukas Robertus' primary affiliation is ‘Department of Pathology, Royal Brompton Hospital, London, SW3 6NP, UK'. This error has been corrected. The publisher apologizes for the error.


In the published article, there was an error regarding the affiliation for Ole J. Mengshoel. Instead of being affiliated with “Department of ECE, Carnegie Mellon University, Pittsburgh, PA, United States”, they should be affiliated with “Department of Computer Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.”In the published article, there was an error in the correspondence. The correct corresponding author is “Ole J. Mengshoel” instead of “Harideep Nair.”The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


Correction to: Molecular Biology Reports 10.1007/s11033-023-08241-7In the original publication of the article, the affiliation “School of Dentistry and Medical Sciences, Charles Sturt University, Orange 2800, New South Wales, Australia” is missed for the author “Mohd Farooq Shaikh”.The author “Sirajudheen Anwar” is tagged with incorrect affiliation, the correct affiliation of the author is “Department of Pharmacology, College of Pharmacy, University of Hail, Hail 81422, Saudi Arabia”.The original article has been updated.


As well as having affiliation 1 Universidad de Los Lagos, Osorno, Chile; 2 Department of Physical Activity Sciences, Universidad de Los Lagos, Osorno, Chile; they should also have “3 Programa de Investigación en Deporte, Sociedad y Buen Vivir, Universidad de Los Lagos, Osorno, Chile”.In the published article, there was an error regarding the affiliation(s) for Bastian Carter-Thuillier. As well as having affiliation 5 Department of Education, Universidad de Los Lagos, Osorno, he should also have “3 Programa de Investigación en Deporte, Sociedad y Buen Vivir, Universidad de Los Lagos, Osorno, Chile; 6 Universidad Católica de Temuco, Temuco, Chile”.In addition, there was an error regarding the author name was incorrectly written as Bastian Carter-Trullier. The correct spelling is “Bastian Carter-Thuillier”.In the published article, an The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


Medical School and American College of Physicians.”In the Recommendation and Report, “Screening and Testing for Hepatitis B Virus Infection: CDC Recommendations — United States, 2023,” on page 20, in line 4 under Contributors, the affiliation for Elisa Choi should have read, “Harvard


In the published article, there was an error in affiliations 1, 2. Instead of “Beijing Tiantan Hospital, Beijing, China”, it should be “Beijing Tiantan Hospital, Capital Medical University, Beijing, China”.The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


In the published article, there was an error in affiliation 3. Instead of “Neonatal Medical Center, Children’s Hospital of Nanjing Medical University, Nanjing, Jiangsu, China”, it should be “Department of Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, Jiangsu, China”.In the published article, there was an error in the author list. Author Aixiu Gong should have appeared before author Jun Wu. The corrected author list appears below.1†, Jiaying Ge2†, Yiting Chu1†, Shuangyu Cai2, Aixiu Gong1*, Jun Wu2* and Jinghan Zhang3*.Shuying LiuThe authors apologize for these errors and state that they do not change the scientific conclusions of the article in any way. The original article has been updated.


We recently read the publication by Miao et al., “A bibliometric analysis of ferroptosis, necroptosis, pyroptosis, and cuproptosis in cancer from 2012 to 2022” . HoweverFor bibliometric study, the search strategy is very important. The authors mentioned that the original data were acquired from Web of Science Core Collection (WoSCC). To our knowledge, WoSCC comprises several sub-databases, including SCI-Expanded, SSCI, A&HCI, CPCI-S, CPCI-SSH, and others. Previous studies and our experience suggest that not all sub-databases are appropriate for bibliometric analysis . Among tMoreover, if the search formula is overly simplistic and omits related keywords, it may overlook many relevant publications. For example, in this study, the author used only “cancer” and “tumor” to identify cancer-related literature. We contend that this is insufficient for locating all cancer-related studies. Our previous work offers a detailed example of searching for cancer-related studies using the following terms: “cancer* OR anticancer* OR tumor* OR tumour* OR oncology OR neoplasm* OR carcinoma* OR lymphoma* OR sarcoma* OR leukemia*” . In addiBased on the updated search method, from January 1, 2012, to December 31, 2022, we retrieved 3363 (ferroptosis in cancer), 1998 (necroptosis in cancer), 3672 (pyroptosis in cancer), and 246 (cuproptosis in cancer) records. The annual publication trend in the four areas is shown in Fig. Lastly, the authors claimed that this study was the first bibliometric analysis of “ferroptosis in cancer”, “necroptosis in cancer”, “pyroptosis in cancer”, and “cuproptosis in cancer” using VOSviewer software. However, several works have already conducted bibliometric analyses of ferroptosis in cancer , 8. In cour suggested retrieval formula


Additional Affiliation(s).“Guihua, Jiang”. In addition to affiliation(s) “2 The Department of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou 510317, China;”, the updated affiliation(s) should include: “1 The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, China;”. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.In the published publication , there w


Due to a production error, there was an error in affiliation 4. Instead of “Department of Foundation, Georgetown, Pulau Pinang, Malaysia,” it should be “Department of Foundation, RCSI & UCD Malaysia Campus, George Town, Pulau Pinang, Malaysia.”The publisher apologizes for this mistake. The original version of this article has been updated.


Correction: Lipids in Health and Disease 22, 95 (2023)10.1186/s12944-023-01836-wDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China”. Also, an article note is added on page 1 as follows: “Solim Essomandan Clémence Bafei, Xianghai Zhao and Changying Chen contributed equally to this work.”Following publication of the original article , the autThe original article  has been


Correction: BMC Trials 24, 505 (2023)https://doi.org/10.1186/s13063-023-07521-8Following publication of the original article , we haveAt the same time, the affiliation of “Jianming Liu” should be “Department of Anesthesiology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China”. In the original text, it was “Department of Anesthesiology, School of Medicine, Shanghai Pulmonary Hospital, Tongji University, Shanghai, People’s Republic of China”.The original article has been corrected.


In the published article, there was an error in affiliation number 6. Instead of “Pancreatic Surgery Unit, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, University of Bologna, Bologna, Italy”, it should be “Pancreatic Surgery Unit, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy.”The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


Affiliation 4. Instead of “Candiolo Cancer Institute, Candiolo, Italy”, it should be “Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy”.In the published article, there was an error in The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


Correction to: Naunyn–Schmiedeberg’s Archives of Pharmacologyhttps://doi.org/10.1007/s00210-023–02530-5In the published version, the second affiliation of the author Yang Ma is incorrect. The second affiliation should be corrected as “Department of Neurology, Changzhou No.2 People’s Hospital, the Affiliated Hospital of Nanjing Medical University, Changzhou, China”.


Additionally, in the Acknowledgements, the affiliation for Paola Tagliabue was incorrectly provided as ‘Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy’ and has been corrected to ‘Vimercate Hospital, ASST della Brianza, Vimercate, Italy’. The original article has been corrected.


February 25, 2021, In the article “Time Course of Alterations in Adult Spinal Motoneuron Properties in the SOD1(G93A) Mouse Model of ALS,” by Seoan Huh, Charles J. Heckman, and Marin Manuel, which was published online on


Affiliations for Lingge Bai, Qiong Wu and Xinyue Zhang. As well as having affiliation 1, they should also have “2 College of Life Sciences, Northwest A&F University, Yangling, China” for Qiong Wu and Xinyue Zhang, “3 College of Veterinary Medicine, Northwest A&F University, Yangling, China” for Lingge Bai.In the published article, there was an error regarding the Funding statement. The Funding statement is incomplete. The correct Funding statement appears below.In the published article, there was an error in the “This work was supported by National Natural Science Foundation of China (32270804), Northwest A&F University Start-up Funding (2190021004), Northwest A&F University Undergraduate Training Programs for Innovation and Entrepreneurship (X202210712422).”The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


Affiliations 1 and 2. Instead of “Department of Pharmacy, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai, China,” affiliation 1 should be “Department of Pharmacy, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.” Instead of “Department of Pharmacy, Shanghai East Hospital, Tongji University, Shanghai, China,” affiliation 2 should be “Department of Pharmacy, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.”In the published article, there was an error in The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


Louis, St. Louis, MO, United States”, and “4Geo-Bio Center, Ludwig Maximilian University of Munich, Munich, Germany”, it should be “3Nephrology Center, Ludwig Maximilian University of Munich, Munich, Germany”. The remaining affiliations have been renumbered.In the published article, there was an error with affiliations 3 and 4. Instead of “4Department of Clinical Microbiology, Sahigrenska University Hospital, Gothenburg, Sweden” it should be “4Department of Pathology, Sahlgrenska University Hospital, Gothenburg, Sweden”.There was an error in affiliation 4. Instead of “5Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, TX, United States” it should be “5Department of Pathology and Genomic Medicine, The Houston Methodist Hospital, Houston, TX, United States”.There was an error in affiliation 5. Instead of “6Krembil Brain Institute, University Health Network (UHN), Toronto, ON, Canada” it should be “6Laboratory Medicine Program, Toronto General Hospital, University Health Network (UHN), Toronto, ON, Canada”.There was an error in affiliation 6. Instead of “13Department of Pathology and Clinical Bioinformatics, Erasmus MC Transplant Institute, University Medical Center Rotterdam, Rotterdam, Netherlands” it should be “13Department of Pathology and Clinical Bioinformatics, Erasmus University Center Rotterdam, Rotterdam, Netherlands”.There was an error in affiliation 13. Instead of “16Department of Neurology, School of Medicine, Koç University, Istanbul, Türkiye” it should be “16Department of Pathology, Koç University School of Medicine, Istanbul, Türkiye”.There was an error in affiliation 16. Instead of “18School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia” it should be “School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW, Australia”.There was an error in affiliation 18. Instead of “27Department of Pathology, Isfahan Kidney Diseases Research Center, Isfahan University of Medical Sciences, Isfahan, Iran", they should also have “28Urology Research Center, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran”.There was an error regarding the affiliation for Diana Taheri. As well as having affiliation "Acknowledgments segment of the article, which originally read “The authors would like to acknowledge the support of Dr. Reza Alaghehbandan for statistical analysis of R5 data, Dr. Michael Mengel for helpful discussions and suggestions, and Dr. Jan Ulrich Becker for useful discussions in the initial steps of the project.”There was an error in the Acknowledgments section.As the corresponding author had not obtained a written approval from Dr. Jan Ulrich Becker for this acknowledgment, at his request, his name is being removed from the Acknowledgments section reads “The authors would like to acknowledge the support of Dr. Reza Alaghehbandan for statistical analysis of R5 data, and Dr. Michael Mengel for helpful discussions and suggestions.”The updated The authors apologize for all the above-mentioned errors and state that these errors and corrections do not change the scientific conclusions of the article in any way. The original article has been updated.


Everything good, everything magical happens between the months of June and August.Jenny Han–Ochsner Journal contains five original research articles, one review and contemporary update, and four case reports and clinical observations which serve as the principal elements for this edition. In addition, please consider reading the three editorials in this issue entitled “The Case for Understanding Interdisciplinary Relationships in Health Care,” “Transparency in Hospital Medicine Metrics: An Effective Approach to Hospital Medicine Practice Management and Influencing Positive Behavior for Everyone's Benefit,” and “The Eyeball Test.” This issue also contains the second Health, Medicine, and Society quarterly column, authored by Price-Haywood, an Ochsner clinician-scientist.The Summer 2023 issue of the Staphylococcus aureus Testing in the Intensive Care Unit as an Antimicrobial Stewardship Initiative” by Smith, DuMontier, Bushman, et al. Finishing out the original research articles in this issue is “Sinonasal Complications Following the Sinus Lift Procedure” authored by Fischer, Riley, and Kacker.This issue's original research includes articles by Smith, Peairs, and Nossaman on “Rate of Intraoperative Crystalloid Administration During Thoracic Surgery Is Causal in Reducing Postoperative Hospital Length of Stay,” followed by “Impact of Frailty Upon Surgical Decision-Making for Left-Sided Colon Cancer” authored by Sibia, Badve, Istl, et al. Next, please find work by Schaible, Langhals, Taylor, et al detailing “Residency Experience With Physical Examination– and Ultrasound-Indicated Cerclage: A Single Center Retrospective Study,” followed by “Change in Methicillin-Resistant The review and contemporary update in this issue is the “Impact of Coffee Consumption on Cardiovascular Health” by Mendoza, Sulague, Posas-Mendoza, and Lavie.Case reports and clinical observations in this issue include “Cooled Radiofrequency Ablation for Intercostal Neuralgia” by Fiala, Martens, Keith, et al, followed by “Acrometastasis in Breast Carcinoma” by Galliano, Bragg, Rangani, and Froom. Rounding out this section, Lally and Galarneau submit “Psychiatric Manifestations as the Primary Presentation of Frontal Meningioma,” and “Thoracic Spinal Stenosis From Calcified Ligamentum Flavum” is offered by Cavazos, Schultz, Higginbotham, and Vaidya.As far as good and magical things happening during the summer months, as health care workers we should prioritize downtime to practice well-being and enhance personal resilience. This can come in the form of a week(s)-long vacation, frequent extended weekends, or simply a day off work here and there throughout the coming months. The only way we can continue to take excellent care of our patients is if we take deliberate and meaningful care of ourselves. Our time in academic and/or clinical medicine is not a short race but a lifelong marathon.


Results for the persistence of cognitive impairments regardless of symptom change were rephrased to include backing data that they remained at least 0.2 standard deviations below the healthy mean. In addition, a mistake in the title was fixed. Instead of “A Cognitive Biotype of Depression and Symptoms, Behavior Measures, Neural Circuits, and Differential Treatment Outcomes,” it should have read, “A Cognitive Biotype of Depression Linking Symptoms, Behavior Measures, Neural Circuits, and Differential Treatment Outcomes.” This article has been corrected.1In the Original Investigation titled “A Cognitive Biotype of Depression and Symptoms, Behavior Measures, Neural Circuits, and Differential Treatment Outcomes: A Prespecified Secondary Analysis of a Randomized Clinical Trial,”


J Appl Clin Med Phys. 2022;23:e13771.Burmeister JW, Coffey CW, Hazle JD, et al. AAPM WGPDMP Report 373: The content, structure, and value of the Professional Doctorate in Medical Physics (DMP). The text of the article title, which originally published online September 15, 2022, Volume 23, Issue 10, as “AAPM Report 373: The content, structure, and value of the Professional Doctorate in Medical Physics (DMP)” was corrected to include the Working Group on the Professional Doctorate Degree for Medical Physicists (WGPDMP) so that the article title has been revised to “AAPM WGPDMP Report 373: The content, structure, and value of the Professional Doctorate in Medical Physics (DMP).” The online version of this article has been corrected accordingly.


In the published article, there was an error in the affiliations of author Emanuele Maria Giusti. The second affiliation “Department of Psychology, Catholic University of Milan, Milan, Italy” was erroneously added. Emanuele Maria Giusti should just have affiliation 1.In the published article, there was an error in affiliation 1. Instead of “Clinical Psychology Research Laboratory, Istituto Auxologico Italiano IRCCS, Milan, Italy,” it should be “Psychology Research Laboratory, Istituto Auxologico Italiano IRCCS, Milan, Italy.”The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


In the published article, there was an error in affiliation [1]. Instead of “Department of Anesthesiology, Third Xiangya Hospital, Central South University, Changsha, China”, it should be “Department of Breast Surgery, Tangshan People's Hospital, Tangshan, Hebei, China”.The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


In the published article, there was an error in the affiliations as published. The affiliation for the first author “Qing Che Tan” was published as “1. Medical School of Chinese PLA, Beijing, China” but should be “1. Medical School of Chinese PLA, Beijing, China, 2. First Affiliated Hospital of Chinese PLA General Hospital, Beijing, China”.The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.


In “Technology-Assisted Cognitive Motor Dual-Task Rehabilitation in Chronic Age-Related Conditions: Systematic Review”  the authors noted one error:Affiliation of author Lorena Rossi:“Scientific Direction, Istituto Nazionale Riposo e Cura Per Anziani, Istituto di Ricovero e Cura a Carattere Scientifico, Ancona, Italy”has been replaced by:“Scientific Direction, IRCCS INRCA, Ancona, Italy”.The correction will appear in the online version of the paper on the JMIR Publications website on September 26, 2023, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.


An error was introduced, during processing of this article for publication, in the affiliations of the senior author Rosario Hernández and of Patricia Saravia-Otten. The correct first affiliation is: "Facultad de Ciencias Químicas y Farmacia, Universidad de San Carlos de Guatemala, Guatemala."


The affiliation of the third author is incorrect. Dao-Wei Zhu is not affiliated with institution number 1, but rather with institution number 2, Laboratory of Molecular Endocrinology and Oncology, Centre Hospitalier Université de Québec Research Center (CHUQ-CHUL), Department of Molecular Medicine and PROTEO, Laval University, Québec City, Canada.


I.The painting is a powerful allegory of knowledge and life.A spiral tower of Babel rises in the back; in the middle, Mercury alias Hermes is standing. Bearer of knowledge , messenger of gods and dreams, guide of the souls, he is staring at an egg, a primigenial and universal symbol of the origin of life, which has been pulled out of the body-dummy, lifeless and dissected, by another figure, who is also caught in contemplation. Men or automata? The ambiguity of figures – inspired by noble Renaissance models, such as Mantegna and Dürer – refers to the eternal myth of Pygmalion, the “divine” power to breathe life into inert matter; in other words, the comprehension of the secret functioning of the human mind and body.II.L'opera è una potente allegoria della conoscenza e della vita.Sullo sfondo di una torre a spirale di ascendenza babelica, si erge Hermes alias Mercurio. Portatore di conoscenza , messaggero degli dei e dei sogni, traghettatore delle anime, osserva assorto l'uovo, simbolo primigenio e universale di origine della vita, estratto dal corpo-manichino ormai esanime e a pezzi da un'altra figura, anch'essa rapita in concentrata contemplazione. Uomini o automi? L'ambiguità delle figure – di nobile ispirazione rinascimentale, tra Mantegna e Dürer – rimanda all'eterno mito pigmalioneo, la facoltà “divina” di infondere la scintilla della vita alla materia inerte; detto altrimenti, la comprensione dei meccanismi più segreti che regolano il funzionamento della mente e del corpo umani.


The findings of this study may be applicable for planning and managing forest ecology research and partners involved in such research may use this study as a reference.Bibliometric is increasingly used for the analysis of discipline dynamics and management related decision-making. This study analyzes 937,923 keywords from 78,986 articles concerning forest ecology and conducts a serial analysis of these articles’ characteristics. The articles’ records, published between 2002 and 2011, were downloaded from the Web of Science, and their keywords were exported by Java processing programs. The result shows that forest ecology studies focused on forest diversity, conservation, dynamics and vegetation in the last decade. Developed countries, such as the USA, Canada, and Germany, were the most productive countries in the field of forest ecology research. From 2002 to 2011, the number of articles published annually related to forest ecology grew at a stable rate, as indicated by the fit produced by a high determination coefficient (RThe online version of this article (doi:10.1186/2193-1801-2-204) contains supplementary material, which is available to authorized users. Bibliometric analysis is an important part of reference and research services. Forest ecology is closely related to forest management and many studies have been performed from various perspectives, including studies of ecosystems at multiple forest spatial scales  aimed at (1) examining the temporal hot topics of forest ecology research by keyword frequency analysis, (2) revealing the distribution of articles by country/region, organization, funding agency, research area, author, year and publication name for articles covering forest ecology research and revealing advancements in forest ecological research, and (3) providing a new keywords frequency analysis method, which may benefit future research.Literature records, our analytical objects, were derived from the Web of Science, an online academic citation index database provided by Thomson Reuters. To define search terms, we used the “thesaurus” tool of Commonwealth Agricultural Bureaux (CAB) Abstracts.We conducted a search on the word “ecology” in CAB Abstracts and the search produced 41 terms, including 19 narrower terms and 22 other related terms Figure . Then, The search query included 43 terms (see Appendix A). This query was run in Web of Science, which is a citation database of the Web of Knowledge, and a total of 78,986 forest ecology-related articles were identified.Using the Web of Science’s analysis tools, we exported the 78,986 articles by country/region, organization, funding agency, research area, author, year, and publication. The statistical methods used by the Web of Science for the above statistical indicators of multi-author articles do not distinguish between the order of author’s locations, which may result the sum of these statistical result was greater than 78,986. The article records, including title, author, keywords, abstract, and organization, were exported in full record mode from the Web of Science to text files. A total of 158 text files were created, because the Web of Science limits each export to 500 records. In every text file, “author keywords” were marked by “DE,” and “keywords plus” were provided by the Web of Science and marked by “ID”. Both these two kinds of keywords were considered in this study.First, the frequency of each keyword was counted in each text file. We developed a java program named count.java  of all keywords harvested , “tropical forest” , “tropical forests” , and “tropical rain-forest” (839), totaled 6,712 keyword entries, which was exceeded only by the keyword “forest” with 9,302 entries , National Natural Science Foundation of China (China), Natural Sciences and Engineering Research Council of Canada (Canada), Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brazil), and European Commission were more prolific in forest ecology than other funding agencies. Combining the number of articles in Table In the analysis, forest ecology was related to 72 research areas identified by the Web of Science data. Table A total of 48,373 authors participated in forest ecology related studies. Among the 20 authors publishing the most articles, five were from the USA, four were from Canada, and two each were from Belgium, Finland, and England (Table 2 = 0.9955). The best fit for forest ecology was found to be: y = 629.75x – 1.2557exp + 06, where y is the article number and x is the number of years since 2002. Extrapolating from the model, the number of articles about forest ecology in the following years could be forecasted  was the top journal on forest ecology by article count, followed by Canadian Journal of Forest Research  and Biological Conservation .The number of journals publishing forest ecology related articles each year increased from 430 in 2002 to 856 in 2011. Table The results of this study pointed to several significant hotspots in global research related to forest ecology based on an analysis of article keywords for articles published during 2002–2011, and revealed the distribution of the articles from seven aspects listed above. The keyword analysis method and the java analysis program could be extended to other related research fields.In the keywords analysis, we presumed that a keyword appeared only once in the keywords list of an article . Most writers used this word to express the concept of “forest” instead of its plural “forests”; therefore, “forest” appeared in articles three times more than “forests” . The next four most frequently used words were “diversity” , “conservation” , “dynamics” , and “vegetation”  indicating forest diversity, forest conservation, forest dynamics and forest vegetation were the focus of forest ecological studies.The frequency of “patterns” , “model” , and “models” (988) demonstrated that these words were widely used in forest developmental pattern and model studies. The keywords “management” , “ecology” , “ecosystems” , and “ecosystem”  were also frequently used in macro research , accounting for 1.03% in all keywords indicating large numbers of studies had been carried out in these aspects of forest research in last ten years.USA” , “Brazil” , “Australia” (868), “Mexico” (819), “Costa Rica” (813) and “New Zealand” (796) appeared more frequently than the names of other countries showing that many studies focused on those countries. During the early twenty-first century, the warm droughts in the United States, Europe and Australia have been recognized as a considerable change from the climatological conditions and variability of the late twentieth century Dai , and thIn 2005, large-scale, warm droughts occurred in North America, Africa, Europe, Amazonia and Australia, resulting in major effects on terrestrial ecosystems, carbon balance and food security  or TS = (species diversity) or TS = (biodiversity) or TS = (species richness) or TS =  or TS = (ecosystems) or TS = (plant communities) or TS = (landscape) or TS = (phenology) or TS =  or TS = (plant) or TS = (populations) or TS =  or TS =  or TS = (landscape) or TS = (synecology) or TS =  or TS = (community) or TS = (biogeography) or TS = (population) or TS = (ecotypes) or TS = (predator prey relationships) or TS =  or TS = (freshwater) or TS = (food webs) or TS = (lowland areas) or TS = (restoration) or TS = (fire) or TS = (food chains) or TS = (autecology) or TS = (marine) or TS =  or TS = (human) or TS = (bioenergetics) or TS =  or TS = (bio coenosis) or TS = (microenvironments) or TS = (dendro ecology) or TS = (climate) or TS = (soils) or TS = (physiography) or TS =  or TS = (nutrient cycling) and (TS = (forest).Appendix B: count.java, Appendix C: merge.java, Appendix D: makejar.bat, Appendix E: count.bat, and Appendix F:merge.bat. (DOCX 22 KB)Additional file 1:


Philip Awadalla, Julie Hussin, and Youssef Idaghdour should be included in the author byline. Philip Awadalla should be listed as the 19th author and contributed materials/analysis tools, Julie Hussin should be listed as the 20th author and contributed by analysing the data, and Youssef Idaghdour should be listed as the 21st author and contributed reagents/materials/analysis tools. The affiliation of these three authors is 1: Cardiovascular Genetics, Department of Pediatrics, Centre Hospitalier Universitaire Sainte Justine, Université de Montréal, Montréal, Québec, Canada.


The affiliations for Eduardo Arzt are incomplete in the online version of the article. Eduardo Arzt's complete affiliations are:1 Laboratorio de Fisiología y Biología Molecular, Departamento de Fisiología y Biología Molecular y Celular, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires and Instituto de Investigación Biomedicina de Buenos Aires (IBioBA)-CONICET-Partner Institute of the Max Planck Society, Buenos Aires, Argentina, and 3 Max Planck Institute of Psychiatry, Munich, Germany. The affiliations in the PDF are correct.


The author would like to inform the readers that the correct form of title “Role of remote sensing, geographic bioinformatics system and bioinformatics in kala-azar epidemiology” , content in abstract “The computational approaches like remote sensing, geographic information system (GIS) and bioinformatics are the key re-sources for the detection and distribution of vectors, patterns, ecological and environmental factors and genomic and proteomic analysis.”, and keyword “geographical bioinformatics systems (GIS)” should be read as follows: title “Role of remote sensing, geographical bioinformation system and bioinformatics in kala-azar epidemiology”, content in abstract “The computational approaches like remote sensing, geographical information system (GIS) and bioinformatics are the key re-sources for the detection and distribution of vectors, patterns, ecological and environmental factors and genomic and proteomic analysis.”, and keyword “geographical bioinformation system (GIS) ”.We apologize for any inconvenience this error may have caused.


The current addresses of Gilgi Friedlander and Zohar Itzhaki were incorrect. The correct current addresses are:¤b Current address: Bioinformatics and Biological Computing Unit, Weizmann Institute of Science, Rehovot, Israel¤c Current address: Department of Immunology, Weizmann Institute of Science, Rehovot, Israel


Sensors2012, 12, 878–894” has been withdrawn at the request of the authors before the issue release of Sensors Volume 12, Issue 1. We apologize for any inconvenience this may cause.The following paper “Juan V. Capella, Alberto Bonastre, Miguel Peris and Rafael Ors. Distributed In-Line Analysis of Water Pollution in a Spanish Lake.


There was an error in the affiliations of the seventh and eighth authors. The correct affiliations of Antonio Scacco are:1 Istituto Regionale della Vite e del Vino, Palermo, Italy,3 Dipartimento di Scienze Agrarie e Alimentari, Università di Catania, Catania, Italy,and the correct affiliations of Gabriele Amore are:1 Istituto Regionale della Vite e del Vino, Palermo, Italy,4 Animal Physiology and Evolution Laboratory, Stazione Zoologica “Anton Dohrn” Napoli, Napoli, Italy.


Partendo dalla difficoltà di dare supporto e ascolto ai migranti, alle loro storie e al loro dolore, è stata creata e sperimentata una tecnica di narrazione che partisse dalle suggestioni dell'immagine. Integrando due aspetti esemplificativi della formazione e della pratica clinica dell'istituto di terapia familiare di Bologna: il pensiero sistemico-relazionale e l'uso delle immagini, è stato creato uno strumento narrativo ad-hoc usando la graphic-novel “l'approdo” di Shuan Tan. Le immagini altamente suggestive vengono viste, scelte e poi narrate all'interno di un gruppo di migranti che hanno condiviso un percorso di insegnamento della lingua. Abbiamo sperimentato “Approdi”, in 5 classi di un corso di italiano per stranieri, per un totale circa di 100 migranti. I risultati della sperimentazione confermano le facilitazioni che l'immagine da nel rievocare, narrare, accogliere, comprendere e contenere storie complesse, ricche e dolorose.ad hoc using “The Arrival”, a graphic novel by Shuan Tan. The images are highly suggestive views, choices, and then narrated within a group of migrants who have shared a path of teaching. We tested “Arrivals” in five classes of an Italian course for a total of about 100 migrants. The experimental results confirm that the image facilitates recall, recount, accept, and understand complex, rich, and painful stories.Starting from the difficulty of giving support and consultation to migrants on their stories and pain, a technique of storytelling that departed from the suggestions of the image has been created and tested. By integrating two aspects of training, the systemic-relational thinking and the use of images, at the Institute of Family Therapy of Bologna, we created a narrative tool


There was an error in affiliation 3 for authors Jürgen Kasper and Frauke Hoffmann. Affiliation 3 should be: Institute for Communication in Medicine - Training and Research, Hamburg, Germany.


Dear Editor,We read with interest the paper entitled “Hepatitis C Virus: The Rising Concerns and Growing Hopes, Report From the HCV Symposium, Fourth Tehran Hepatitis Congress, November 2011, Tehran, Iran”, which is written by Alavian et al.  and avai


Lower pharyngeal jaws; Discussion page 6, 1st paragraph. We regret the error.The authors noted that the coding and interpretation of Figure five b and five c need corrections . The linPlease note that Topi K Lehtonen can now be contacted at Department of Biology, 20014 University of Turku, Finland. Chris Harrod can now be contacted at Queen's University Belfast, School of Biological Sciences, 97 Lisburn Road, Belfast BT9 7BL, UK and Instituto de Investigaciones Oceanológicas, Universidad de Antofagasta, Avenida Angamos 601, Antofagasta, Chile.


After publication of this work  all authAuthor’s emailmohsen.amin@utoronto.caAuthors’ detail5 Department of Molecular Genetics, Faculty of Medicine, University of Toronto, 1 king’s college circle, Medical Sciences Building, Toronto, Ont. M5S 1A8, CanadaThe authors declare that they have no competing interests.MAM contributed in antimicrobial assay and major editing and revising the manuscript.This investigation granted by research chancellor of Tehran University of Medical Sciences. Also we acknowledge Mr Amir Yousefbeyk for his assistance in collecting plants.


There were errors in the Funding section. The correct funding information is as follows: This work was supported by grants from CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Spain (CB06/06/1088); Instituto de Salud Carlos III, Spain ; Regional European Social Funds (FEDER). EPR holds a “Sara Borrel” contract from Instituto de Salud Carlos III, Spain. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


We continue the Academia-Industry Symposium with this issue.Jerome P. Kassirer, Distinguished Professor at Tufts University School of Medicine, Editor-in-Chief Emeritus, New England Journal of Medicine, writes an editorial: ‘Extent And Implications Of The Academia-Industry Connection’ (p1-6).Joel Lexchin, Professor in the School of Health Policy and Management at York University, writes another editorial: ‘Of Money And Trust In Biomedical Care’ (p7–10).MSM Editors, Ajai R. Singh and Shakuntala A. Singh write the third editorial: ‘Academia, Journal Publishing and the Bio-Medical Industry’ (p11–14).Martin B Van der Weyden, Editor, Medical Journal of Australia, writes for The Looking Glass: ‘The ICMJE and URM: Providing Independent Advice for the Conduct of Biomedical Research and Publication’ (p15–24).We continue with the theme of the 2006 monograph: ‘What Medicine Means To Me’ in this issue of MSM with some important contributions.Lynne Layton, Editor, Psychoanalysis, Culture and Society and Assistant Clinical Professor of Psychology, Harvard Medical School writes on, ‘What Psychoanalysis, Culture And Society Mean To Me’ (p146–157).Alfredo Pereira Jr, currently Adjunct Professor at the State University São Paulo Júlio de Mesquita Filho and earlier, Post-Doctoral Fellow in Sciences of the Brain and Cognition at the Massachusetts Institute of Technology (1996–98), writes on, ‘What the cognitive neurosciences mean to me’ (p158–168).Elizabeth Wager, freelance medical writer, editor and trainer based in Princes Risborough, England and member of the ethics committees for the BMJ and WAME  and a council member of COPE (the Committee On Publication Ethics), writes on, ‘What medical writing means to me’ (p169–178).Helen Herrman, Director, World Health Organisation Collaborating Center for Research and Training in Mental Health, University of Melbourne and Secretary for Publications, World Psychiatric Association, writes on, ‘What Psychiatry means to me’ (p179–187).Reflections is a scientist’s Anonymous contribution for obvious reasons (p188–196).‘Recollections of a Journey Through a Psychotic Episode: Or, Mental Illness and Creativity,’ in Madhukar S. Bandisode, earlier Chief, Intermediate Medicine and Medical Director of Extended Care Services from 1979 to 2000 (now retired) and in clinical practice, responds to questions raised in, ‘Where is Medical Practice in India Heading?’ and, ‘Turning Points in my Medical Career’, both articles in the 2006 MSM by Sunil K. Pandya (p197–204).Roy, Vance, Col. Goel, Nicole, Madhukar, Kumar, Morten, Sadhu, Shakuntala, Ajai, members of the mensanamonographs e-group, discuss the 2006 editorial of MSM, ‘To Cure Sometimes, To Comfort Always, To hurt The Least, To Harm Never’ (p205–227).Cortney Davis, nurse practitioner in women's health, author of three poetry collections, most recently “Leopold's Maneuvers,” winner of the Prairie Schooner Poetry Prize, writes two poems for MSM Poems: ‘Doctor At Work, Late Evening’ (p228) and ‘Taking Care of Time’ (p229).Ajit V. Bhide, Head, Departments of psychiatry and Family Medicine at St. Martha's Hospital, Bangalore, India, writes an obituary, ‘Ravinder Lal Kapur, M.D. (1938–2006)’ (p231–236). The Editor also writes on Dr Kapur (pviii–ix).This issue of MSM is dedicated to the illustrious memory of Dr. R.L. Kapur (pvii).MSMEditors of  (p25–145). It is divided into ten chapters, complete with Musings (p25–26), an abstract (p27–30), ten chapters (p31–127), concluding remarks (p128–133), questions that this monograph raises (p134–135), and monograph references list (p136–145).The Theme MSM is entitled: ‘Guidelines, Editors, Pharma And The Biological Paradigm shift’ and is authored by the


Institutional affiliation number 1 for all authors is incorrect. The correct affiliation is: 1, Murdoch Children’s Research Institute, Melbourne, Australia.


Volume Transmission Revisited” edited in 2000 by the Swedish neuroanatomist, Kjell Fuxe, Fuxe writes in the introduction: “The theme of our meeting started out more than a century ago with the Nobel laureate Golgi, but after then it disappeared from view until the seventies when, especially Descarries, suggested that central monoamine neurons could communicate with other neurons without recourse to classical synaptic specialisations.”On October 3rd 2012, one of Canada's leading neuroscientists, Dr. Laurent Descarries, a professor at the Université de Montréal, passed away at the age of 73. Dr. Descarries was internationally renowned for his extensive work on the ultrastructural organization of monoaminergic and cholinergic innervations in the brain, and in particular for his work demonstrating the mostly asynaptic character of their axon terminals. The latter are now commonly thought to mediate their signals through a process called “diffuse transmission” or “volume transmission.” In the book “Trained initially as an MD  and neurologist , Dr. Descarries began his research career during a fellowship at the Massachusetts General Hospital of Harvard University in Boston (1963–1966). During this period, he worked with neurologist Otto Appenzeller on peripheral nervous system dysfunctions associated with cerebrovascular disease. He then pursued his training in neuroanatomy with the renowned anatomist Bernard Droz at the Centre d'Études Nucléaire of Saclay, in France (1967–1969), with whom he contributed to the popularization of the use of autoradiography in combination with electron microscopy to examine the anatomical bases of chemically-defined neurotransmission in the brain.Laurent Descarries was recruited to the Faculty of Medicine of the Université de Montréal in 1969, where he subsequently remained for his entire career. Funded by a long series of grants obtained from the Medical Research Council of Canada and subsequently from the Canadian Institutes of Health Research, his group published a number of landmark papers on the ultrastructural characterization of noradrenergic, dopaminergic, serotoninergic, and cholinergic axon terminals in the rat and mouse brain, much of which formed the basis of the diffuse transmission theory. This large body of work was published in more than 140 primary research articles and reviews, in addition to many book chapters.Laurent Descarries was a leading figure of the Canadian neuroscience scene throughout his career. He participated in the establishment of the Centre de Recherche en Sciences Neurologiques (CRSN) at the Faculty of Medicine of the Université de Montréal in 1971, to unite neuroscientists from the University's main campus and affiliated hospitals. He was also one of the founding members of the Groupe de Recherche sur le Système Nerveux Central (GRSNC), a group funded by the Québec government (FRQS) and that currently brings together neuroscientists from the Université de Montréal's main campus. He served as secretary of the Université de Montréal's Faculty of medicine between 2004 and 2006. He was also the main organizer of a number of GRSNC international neuroscience symposia. The outstanding contributions to research of Dr. Descarries were recognized by the Québec research community which selected him as the laureate of the Léo-Pariseau prize for biomedical research in 2005. Laurent Descarries was also recognized as an exceptional mentor: he trained more than 60 graduate students, postdoctoral fellows, and visiting scientists, many of whom now have their own laboratory or are leading figures of the Canadian research scene, including Alain Beaudet, Philippe Séguéla, Patrick Cossette, Mario Beauregard, Guy Doucet, Jean-Jacques Soghomonian, Jean-Paul Soucy, Naguib Mechawar, and Martin Parent.As colleagues, collaborators, and friends of Laurent Descarries, we salute his outstanding career and scientific contributions and we will miss him dearly.Louis-Eric Trudeau, Department of Pharmacology, GRSNC, Université de Montréal, Montreal, QC, Canada.Pierre Drapeau, Department of Pathology and Cell Biology, Université de Montréal, Montreal, QC, Canada.Trevor Drew, Department of Physiology, Director of the GRSNC, Université de Montréal, Montreal, QC, Canada.Serge Rossignol, Department of Physiology, Université de Montréal, Montreal, QC, Canada.Naguib Mechawar, Department of Psychiatry, Douglas Institute, McGill University, Montreal, QC, Canada.Alain Beaudet, President, Canadian Institutes of Health Research, Ottawa, ON, Canada.


The manuscript entitled “Aromatase Deficiency, a Rare Syndrome: Case Report” by authors “Emine Kartal Baykan, Mehmet Erdoğan, Samim Özen, Şükran Darcan, L.Füsun Saygılı” in JCRPE in Jun 2013 has reported that the genetic analysis of the patient was done at Ege University in Turkey. After the publication of the manuscript the editorial board of the Journal was informed that the genetic analysis was initially done by1,2; Manuela Simoni, MD, PhD1,2,3; Vincenzo Rochira, MD, PhD1,3Elisa Pignatti, MD, PhD1Department of Biomedical, Metabolic and Neural Sciences, University of Modena & Reggio Emilia, Modena Italy;2Center for Genomic Research, University of Modena and Reggio Emilia,3Integrated Department of Medicine, Endocrinology and Metabolism, Geriatrics, Azienda USL of Modena, Modena, Italy andrepeated later at Ege University.Editorial BoardJCRPE


An affiliation for the first author is incorrectly omitted. In addition to institution number 1, Alessandro Innocenti is also affiliated with the following institution: Health Sciences Department, Milan University, Milano, Italy.


There were errors in the second and third institutions that authors are affiliated with. The correct versions are, respectively:Faculdade de Física, ICEN, Universidade Federal do Pará, Belém, Pará, Brasil,Departamento de Física, Universidade Federal do Ceará, Fortaleza, Ceará, BrasilThere was also an error in the Funding statement.The correct statement is: The authors acknowledge support from Brazilian agencies CNPq, CAPES, and FUNCAP, the FUNCAP/Cnpq Pronex grant, PROPESP/UFPa, FADESP, and the National Institute of Science and Technology for Complex Systems in Brazil for financial support. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


An affiliation for the first author was not indicated. M. Ashraful Islam is affiliated with institution 1, Bioforsk - Norwegian Institute for Agricultural and Environmental Research, Ås, Norway, as well as institution 3, Department of Plant and Environmental Sciences, Norwegian University of Life Sciences, Ås, Norway.