Shallow groundwater (GW), defined as the water table of unconfined or perched aquifers that is near enough to the land surface to influence the vadose zone and the surface soil moisture, impacts land surface water, energy, and carbon cycles by providing additional moisture to the root zone via capillary fluxes. Although the interactions of shallow GW and the terrestrial land surface are widely recognized, incorporating shallow GW into the land surface, climate, and agroecosystem models is not yet possible due to the lack of groundwater data. Groundwater systems are affected by various factors, including climate, land use/land cover, ecosystems, GW extractions, and lithology. Although GW wells are the most direct and accurate way of monitoring water table depths at point scales, upscaling GW levels from point scale to areal or regional scale poses significant challenges.Here, we provide high spatiotemporal resolution global maps of the terrestrial land surface areas influenced by shallow GW from mid-2015 to 2021 (a separate NetCDF file for each year) in a 9 km spatial and daily temporal resolution. We derived this data from NASA's Soil Moisture Active Passive (SMAP) mission spaceborne soil moisture observations with a temporal resolution of 3 days and approximately 9 km grid resolution. This spatial scale corresponds to SMAP's "Equal Area Scalable Earth" (EASE) grids. The central assumption is that the monthly moving average of soil moisture observations and their coefficient of variation are sensitive to shallow GW regardless of the prevailing climate. We process the Level-2 enhanced passive soil moisture SMAP (SPL2SMP_E) product to detect shallow GW signals. The presence of shallow GW data is calculated by an ensemble machine learning model, which is trained using simulations from a variably saturated soil moisture flow model (Hydrus-1D). The simulations span various climates, soil textures, and lower boundary conditions.The spatiotemporal distribution of shallow GW data based on SMAP soil moisture observations is provided for the first time with this dataset. The data are of value in a wide variety of applications. The most direct use is in climate and land surface models as lower boundary conditions or as a diagnostic tool to verify model results. Some other applications may include flood risk analyses and regulation, identifying geotechnical issues such as shallow GW-triggered liquefaction, global food security, ecosystem services, watershed management, crop yield, vegetation health, water storage trends, and tracking mosquito-borne diseases by identifying wetlands, among other applications. Specifications Table•An observation-based database representing shallow groundwater presence globally is provided. Given the high spatiotemporal resolution, the shallow GW dataset may contribute to the efforts of integrating GW into surface flux models  as a calibration or diagnostic tool to assess the validity of such models. Moreover, the dataset helps reduce the model biases originating from the additional water added to the root zone due to shallow GW presence.•The dataset presented here can potentially be helpful in a wide variety of research areas, including flood risk analyses and regulation, identifying geotechnical issues such as liquefaction, global food security, ecosystem services, watershed management, crop yield, vegetation health, water storage trends, and global distributions of wetlands.•Another, more direct, use of the dataset may be to use it as LBC to the surface flux models. This option may improve the soil moisture flux simulation accuracies while reducing the computational cost of such models. Adopting this shallow GW database based on observations, as a driver to control the model LBC allows modelers to solve the Richards equation in 1-D instead of 3-D without losing the accuracy of results.1Shallow GW provides additional water to ecosystems and the land surface. The additional water resulting from the coupling between GW and the surface not only affects evapotranspiration but also has the potential to modify ecosystems and components of water, energy, and carbon cycles. The lack of global-scale shallow GW data with high spatial and temporal resolution hinders our understanding of terrestrial water, energy, carbon, and water cycle components.The theoretical background on generating the shallow GW dataset was explained in detail in 2Shallow GW data is provided in multidimensional NetCDF file contents. A separate NetCDF file is produced for each year from mid-2015 to 2021. Each data file covers the entire temporal range from January 1st to December 31st, except the file for the year 2015, which covers only between June 1st to December 31st due to SMAP data availability.The dataset has a “Shallow Groundwater Presence” variable, indicating through a binary variable whether the region is under shallow groundwater influence or not. If this variable equals 1, the given pixels are under shallow GW influence. A pixel value of -9999 value indicates that there is no shallow GW influence or that there is not sufficient soil moisture data available to detect shallow GW presence.File name: ShallowGW2015.ncFiletype: NetCDF fileSpatial extent: Latitude: -180:180 Degrees North; Longitude: -85:85 Degrees EastSpatial resolution: 9 kmTemporal coverage: Start date:06/01/2015; End date:12/31/2015Temporal resolution: 1 dayFile name: ShallowGW2016.ncFiletype: NetCDF fileSpatial extent: Latitude: -180:180 Degrees North; Longitude: -85:85 Degrees EastSpatial resolution: 9 kmTemporal coverage: Start date:01/01/2016; End date:12/31/2016Temporal resolution: 1 dayFile name: ShallowGW2017.ncFiletype: NetCDF fileSpatial extent: Latitude: -180:180 Degrees North; Longitude: -85:85 Degrees EastSpatial resolution: 9 kmTemporal coverage: Start date:01/01/2017; End date:12/31/2017Temporal resolution: 1 dayFile name: ShallowGW2018.ncFiletype: NetCDF fileSpatial extent: Latitude: -180:180 Degrees North; Longitude: -85:85 Degrees EastSpatial resolution: 9 kmTemporal coverage: Start date:01/01/2018; End date:12/31/2018Temporal resolution: 1 dayFile name: ShallowGW2019.ncFiletype: NetCDF fileSpatial extent: Latitude: -180:180 Degrees North; Longitude: -85:85 Degrees EastSpatial resolution: 9 kmTemporal coverage: Start date:01/01/2019; End date:12/31/2019Temporal resolution: 1 dayFile name: ShallowGW2020.ncFiletype: NetCDF fileSpatial extent: Latitude: -180:180 Degrees North; Longitude: -85:85 Degrees EastSpatial resolution: 9 kmTemporal coverage: Start date:01/01/2020; End date:12/31/2020Temporal resolution: 1 dayFile name: ShallowGW2021.ncFiletype: NetCDF fileSpatial extent: Latitude: -180:180 Degrees North; Longitude: -85:85 Degrees EastSpatial resolution: 9 kmTemporal coverage: Start date:01/01/2021; End date:12/31/2021Temporal resolution: 1 day3To produce the shallow GW dataset, we applied a supervised EML model on SMAP L2 soil moisture observations. Surface soil moisture simulations representing SMAP observations are used to train the EML model . Below, 3.1The SMAP sensors capture L-band microwave emissions globally with approximately 3 days temporal and 36 km spatial resolution. We use the radiometer-based level 2 enhanced passive soil moisture (SPL2SMP_E Version 5) product, which has a 9 km grid resolution derived from a 36 km spatial resolution 3.2The Hydrus-1D model, which solves the Richards equation for variably saturated soil water flow, is used to simulate the surface soil moisture, mimicking SMAP observations. The model is driven by the Global Precipitation Measurement (GPM) mission precipitation data  boundary conditions at five different depths, representing constant water table depths from 0.5 m to 2.5 m, in increments of 50 cm, are used. In addition, a simulation with free drainage lower boundary conditions is done. The total soil profile domain thickness is taken as 3 meters, but only the top 5 cm of the simulations are considered to represent SMAP soil moisture observations. The model simulations cover five years period from 2015 to 2019. We use the first year as the model spin-up period. The results of that year are not used in the data analyses.3.3The gentle adaptive boosting (GentleBoost), a variant of the adaptive boosting ensemble machine learning (EML) technique, is used to classify whether the surface soil moisture data is affected by shallow groundwater. To develop the EML method, about 1.2 million soil moisture data points are used in model training, and about 0.8 million data points are used in model testing. The daily coefficient of variation, minimum, maximum, and average surface soil moisture values are used as model predictors. A 30-day moving window average is used to calculate each predictor. We find that using a monthly time window width provides a sufficient number of sample points allowing us to analyze the soil moisture signals in a statistically meaningful way. At the same time, a 30-day window width does not smooth the shallow groundwater signals too much.Once the EML model is trained, we apply it to the SMAP observations covering the period from mid-2015 to the end of 2021. We adopt a data correction scheme as the last step before the final dataset, as recommended by The shallow GW dataset is evaluated against three datasets. First, we compare to baseflow estimations in the southeast US. Second, we check consistency with global scale wetland distributions estimated based on a global scale GW model outputs https://www.elsevier.com/authors/journal-authors/policies-and-ethics.The current work does not involve human subjects, animal experiments, or any data collected from social media platforms and meets the ethical requirements for publication in Data in Brief as stated in Mehmet Evren Soylu: Conceptualization, Investigation, Formal analysis, Methodology, Validation, Visualization, Writing – original draft; Writing – review & editing; Rafael L. Bras: Supervision, conceptualization, Writing – review & editing.The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.


In “Improving Pelvic Floor Muscle Training Adherence Among Pregnant Women: Validation Study” :e30989), the following errors were noted.1. Abstract:In the originally published paper, the first sentence in the abstract was stated asMobile health apps, for example, the Tät, have been shown to be potentially effective in improving pelvic floor muscle training (PFMT) among women, but their effectiveness in pregnant women was limited.This has been corrected to:Mobile health apps, for example, the Tät, have been shown to be potentially effective in improving pelvic floor muscle training (PFMT) among women, but they have not yet been studied among pregnant women.2. Methods, Intervention Mapping:The originally published paper was missing two references for this statement: The outcomes of the intention are self-efficacy (17 questions) and adherence (6 questions).This has been corrected to:The outcomes of the intention are self-efficacy (17 questions) (41) and adherence (6 questions) (42). 3. Methods, Cross-Sectional Study:The originally published paper was missing two references for this statement:The findings from this study provided input for the content of their educational videos and short notes on PFMT, which were captured as frequently asked questions (FAQ).This has been corrected to:The findings from this study provided input for the content of their educational videos and short notes on PFMT  which were captured as frequently asked questions (FAQ).4. Results:The originally published paper stated the following in row 1, column 2 of Table 5:1.System credibility-expertise and authority.2. Primary support-Virtual rehearsal principleThis has been corrected to:System credibility-expertise and authority5. Results:The originally published paper stated the following as the title for the first column of Table 5:COM-B model and behavioral change techniques incorporated in the mHealth app.This has been corrected to:COM-B model and features of the mHealth app.6. Discussion:The originally published paper was missing one reference for this statement:The PSD component of the system’s credibility and trustworthiness, with the expertise involved in the development, may add to the user’s sense of safety and reliability regarding the KEPT app.This has been corrected to:The PSD component of the system’s credibility and trustworthiness (55), with the expertise involved in the development, may add to the user’s sense of safety and reliability regarding the KEPT app.6. References:In the corrected paper, the following citations have been newly added to the Reference List. As these new references have been numbered per the order of their in-text citations, the remaining citations in the reference list have been renumbered accordingly. 41. Sacomori C, Cardoso FL, Porto IP, Negri NB. The development and psychometric evaluation of a self-efficacy scale for practicing pelvic floor exercises. Brazilian Journal of Physical Therapy; 2013. [doi: 10.1590/S1413-35552012005000104] 42. Newman-Beinart NA, Norton S, Dowling D, Gavriloff D, Vari C, Weinman JA, Godfrey EL. The development and initial psychometric evaluation of a measure assessing adherence to prescribed exercise: the Exercise Adherence Rating Scale (EARS). Physiotherapy, 103(2); 2017, 180–185. [doi: 10.1016/j.physio.2016.11.001]45. Alagirisamy P, Mohd Sidik S. Pelvic Floor Muscle Exercises During and After Pregnancy. Universiti Putra Malaysia Press Serdang 2020.46. Bo K, Berghmans B, Morkved S, Van Kampen M. Evidence-Based Physical Therapy for the Pelvic Floor-E-Book: Bridging Science and Clinical Practice, 2nd ed. London, UK: Elsevier Health Sciences; 2014. 3.55. Asklund I, Nyström E, Sjöström M, Umefjord G, Stenlund H, Samuelsson E. Mobile app for treatment of stress urinary incontinence: A randomized controlled trial. Neurourol Urodyn 2017 Jun;36(5):1369-1376. [doi: 10.1002/nau.23116] [Medline: 27611958]The correction will appear in the online version of the paper on the JMIR Publications website on April 11, 2022, 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.


Cell Death and Disease 10.1038/cddis.2016.292, published online 13 October 2016Correction to: The original version of this article unfortunately contained an error in fig. 3e. The authors apologize for the error. The correct figure can be found below.


To our knowledge, there is no Parkinson’s disease (PD) gait biomechanics data sets available to the public.This study aimed to create a public data set of 26 idiopathic individuals with PD who walked overground on ON and OFF medication.Their upper extremity, trunk, lower extremity, and pelvis kinematics were measured using a three-dimensional motion-capture system . The external forces were collected using force plates. The results include raw and processed kinematic and kinetic data in c3d and ASCII files in different file formats. In addition, a metadata file containing demographic, anthropometric, and clinical data is provided. The following clinical scales were employed: Unified Parkinson’s disease rating scale motor aspects of experiences of daily living and motor score, Hoehn & Yahr, New Freezing of Gait Questionnaire, Montreal Cognitive Assessment, Mini Balance Evaluation Systems Tests, Fall Efficacy Scale-International–FES-I, Stroop test, and Trail Making Test A and B.https://figshare.com/articles/dataset/A_dataset_of_overground_walking_full-body_kinematics_and_kinetics_in_individuals_with_Parkinson_s_disease/14896881).All data are available at Figshare (This is the first public data set containing a three-dimensional full-body gait analysis of individuals with PD under the ON and OFF medication. It is expected to contribute so that different research groups worldwide have access to reference data and a better understanding of the effects of medication on gait. Several studies seek to understand the gait kinematics of Parkinson’s disease (PD) patients to identify which parameters are altered with the disease. Compared to healthy individuals in general, it is known that these patients tend to present changes in the spatiotemporal parameters of gait, such as a decrease in step length, reduction in gait speed, and difficulty in the start and stop movement . HoweverA few gait datasets in PD are available in the literature . AlthougThe data collection was performed in the Laboratory of Biomechanics and Motor Control at the Federal University of ABC, Brazil. The local Ethics Committee approved this study (protocol number 21948619.6.0000.5594), and all patients signed a consent form before collecting data. The patients were on a stable dose of l-DOPA for at least 1 month. The idiopathic individuals with PD participated in two experimental sessions for 1 week, one in the ON condition of the medication and the other in the OFF condition. To be considered ON condition, participants had taken dopaminergic medication 1 h before starting the session to ensure dose stabilization. In the OFF condition, the participants spent at least 12 h without medication for Parkinson’s disease . The ord2, Hoehn & Yahr (H&Y) scale between 1 and 4, and 13 with freezing of gait (FoG). Inclusion criteria were the absence of neurological or physical dysfunctions other than those associated with PD and no diagnosed vestibular, visual, or somatosensory dysfunctions as self-declared.A convenience sample of 26 idiopathic individuals with PD  was recruited to participate in this study. The patients were recruited from local communities and included local neighborhoods and ambulatory movement disorders. The patients were interviewed to collect information about their demographic characteristics, socio-cultural characteristics, and overall health condition. Their ages varied from 44 to 81 years, body masses from 53.3 to 94.6 kg, heights from 151.5 to 179.0 cm, body-mass indexes (BMI) from 19.2 to 34.3 kg/mAll gait trials were performed barefoot, and the participants wore comfortable shorts (women wore sports bras). Participants were asked to perform overground walking trials at a self-selected comfortable speed. The marker-set protocol adopted for this study comprised: (a) in the lower limb, 26 anatomical reflective markers ; and (b)1.The researcher explained to each patient the process of data collection. The patient was informed that he or she would be monitored during the data collection. There should not be any verbal communication during the trials, but he or she could interrupt the data collection if desired. Furthermore, that assistance would be given if necessary.2.After these explanations, the patient signed the informed consent form.3.The researcher interviewed the subject to collect information about his or her clinical data, medication, and disease diagnosis.4.At the beginning of each session, two experienced physiotherapists in movement disorders applied the following scales: Unified Parkinson’s Disease Rating Scale motor aspects of experiences of daily living (UPDRS-II) and motor aspects (UPDRS-III) , H&Y Ho, New Fre5.Participants rested for 10 min.6.Markers were placed directly onto the skin of the full body .7.X-axis of the laboratory coordinate system (LCS)  . A templ8.After the calibration trial and a familiarization period, participants were instructed to walk at a comfortable self-selected speed along a 20-m walkway. Participants performed 20 trials. The participants did not use any aid during the trials.Standard gait analysis was collected using a motion-capture system that had 12 cameras , five force platforms  embedded in the floor. The kinematic data were acquired at 150 Hz, and the data on ground-reaction forces were acquired at 300 Hz using a motion-capture system .The data processing was performed using Cortex 6.0. Visual 3D software version 6.00.33  performed all kinematics and kinetics calculations. To enable users to process the data in the Visual 3D software, a Visual 3D pipeline file is available at Figshare. The analysis of the overground trials considered only those files that contained at least one full gait cycle (stance and swing phase) detected by kinematics. Heel strike and toe-off were calculated bilaterally using the horizontal velocity of the heel marker method . The pub1 in both c3d and ASCII file formats. The data set comprises a file with metadata, and separate text files were generated for the markers, angular kinematics, and force signals at 150 Hz. The clinical characteristics of the patients are presented in The data is available at FigshareThe metadata file named PDGinfo.txt contains 61 information from each patient’s anamnesis and clinical scales. Here is the coding for the metadata:1.ID: the file name of the stabilography trial .2.Gender: gender (F or M).3.Age: patient’s age in years.4.Height (cm): height in meters .5.Weight (kg): weight in kilograms .6.2): body mass index in kg/m2.BMI (kg/m7.Ortho-Prosthesis: name of the orthosis or prosthesis the subject wears (“No” if the patient did not wear any orthosis or prosthesis).8.Years of formal study: years of formal education.9.Disease duration (years): year from diagnosis.10.–1): total daily levodopa equivalent dose in mg⋅day–1 according to L-Dopa equivalent units (mg⋅day11.FoG group: presence (freezers) or not (non-freezers) of freezing of gait.12.NFoG-Q (score): score of New Freezing of Gait Questionnaire.13.Initial symptoms: self-reported initial symptoms.14.Is there a family history of PD? Who?15.Do you feel improvement after using the antiparkinsonian medicine?: Yes or No.16.Have you ever had any surgery? Which?17.Any rehabilitation or physical activity?: name of the rehabilitation or physical activity performed by the patient .18.Other diseases : name of the disability of the patient (“No” if the patient did not present any disability).19.Handedness: a self-reported manual preference.20.ON–Hoehn & Yahr: Hoehn & Yahr score in the ON medication.21.ON–MoCA: MoCA score in the ON medication.22.ON–miniBESTest: miniBESTest score in the ON medication.23.ON–FES-I: FES-I score in the ON medication.24.ON–UPDRS-II: total score of the UPDRS-II in the ON medication.25.ON–UPDRS-II–walking: score of item 4–walking of the UPDRS-II in the ON medication.26.ON–UPDRS-III: total score of the UPDRS-III in the ON medication.27.ON–UPDRS-III–Rigidity: score of item 5–rigidity of UPDRS-III in the ON medication.28.ON–UPDRS-III–Gait: score of item 12–rigidity of UPDRS-III in the ON medication.29.ON–PIGD or TD: Postural Instability/Gait Difficulty (PIGD) or Tremor Dominant (TD) phenotypes in the ON medication, according to 30.ON–UPDRS-III asymmetry: clinical asymmetry was defined as the difference between the summed UPDRS scores of the left and right body sides (items 3.3–3.8 and 3.15–3.17). The most affected body side was the side with the highest UPDRS score in the ON medication.31.ON–Stroop-I time (s): time to complete part I of the Stroop test in the ON medication.32.ON–Stroop-I error: number of errors presented in part I of the Stroop test in the ON medication.33.ON–Stroop-II time (s): time to complete part II of the Stroop test in the ON medication.34.ON–Stroop-II error: number of errors presented in part II of the Stroop test in the ON medication.35.ON–Stroop-III time (s): time to complete part III of the Stroop test in the ON medication.36.ON–Stroop-III error: number of errors presented in part III of the Stroop test in the ON medication.37.ON–TMTA time (s): time to complete part A of the TMT in the ON medication.38.ON–TMTA error: number of errors presented in part A of the TMT in the ON medication.39.ON–TMTB time (s): time to complete part B of the TMT in the ON medication.40.ON–TMTB error: number of errors presented in part B of the TMT in the ON medication.41.OFF–Hoehn & Yahr: Hoehn & Yahr score in the OFF medication.42.OFF–MoCA: MoCA score in the OFF medication.43.OFF–miniBESTest: miniBESTest score in the OFF medication.44.OFF–FES-I: FES-I score in the OFF medication.45.OFF–UPDRS-II: total score of the UPDRS-II in the OFF medication.46.OFF–UPDRS-II–walking: score of item 4–walking of the UPDRS-II in the OFF medication.47.OFF–UPDRS-III: total score of the UPDRS-III in the OFF medication.48.OFF–UPDRS-III–Rigidity: score of item 5–rigidity of UPDRS-III in the OFF medication.49.OFF–UPDRS-III–Gait: score of item 12–rigidity of UPDRS-III in the OFF medication.50.OFF–PIGD or TD: Postural Instability/Gait Difficulty (PIGD) or Tremor Dominant (TD) phenotypes in the OFF medication, according to 51.OFF–UPDRS-III asymmetry: clinical asymmetry was defined as the difference between the summed UPDRS scores of the left and right body sides (items 3.3–3.8 and 3.15–3.17). The most affected body side was the side with the highest UPDRS score in the OFF medication.52.OFF–Stroop-I time (s): time to complete part I of the Stroop test in the OFF medication.53.OFF–Stroop-I error: number of errors presented in part I of the Stroop test in the OFF medication.54.OFF–Stroop-II time (s): time to complete part II of the Stroop test in the OFF medication.55.OFF–Stroop-II error: number of errors presented in part II of the Stroop test in the OFF medication.56.OFF–Stroop-III time (s): time to complete part III of the Stroop test in the OFF medication.57.OFF–Stroop-III error: number of errors presented in part III of the Stroop test in the OFF medication.58.OFF–TMTA time (s): time to complete part A of the TMT in the OFF medication.59.OFF–TMTA error: number of errors presented in part A of the TMT in the OFF medication.60.OFF–TMTB time (s): time to complete part B of the TMT in the OFF medication.61.OFF–TMTB error: number of errors presented in part B of the TMT in the OFF medication.The C3Dfiles folder contains a folder for each participant and medication condition. For each participant, the following files are available for each trial separately:1.c3d files : The c3d files can store both the 3D coordinates of the markers and the force signals in the same file. In addition, the static trial , which contains only marker trajectories, is available;2.Visual 3D pipeline file (Parkinson.v3s) to enable users to process the data in the Visual 3D software;3.Model templates file (Parkinson.mdh) that contains the definitions of all landmarks, segments, and segment properties;4.Angular kinematics of all frames of the joints of the full body  on the right and left side;5.Linear Kinematics of all frames of the coordinates of the markers and center of mass (CoM);6.GRF of all frames on the right and left side in the anteroposterior, vertical and mediolateral directions;7.For each gait cycle, spatiotemporal parameters, such as stride and step length and duration, and cadence.The gait cycles folder provides the average ensemble data for each participant and medication throughout the full gait cycle  of the following data:1.CoM: center of mass of the body;2.Files named with ending Ang: angular kinematics of the joints of the full body  on the right and left side. Each gait cycle is organized into three columns:a.Elbow: flexion/extension, add/abduction, and pron/supination;b.Shoulder: flexion/extension, add/abduction, and int/external rotation;c.Trunk: lateral flexion, rotation, and flexion/extension;d.Pelvis: tilt, obliquity, and rotation;e.Hip: flexion/extension, add/abduction, and int/external rotation;f.Knee: flexion/extension, add/abduction, and int/external rotation;g.Ankle: dorsi/plantarflexion, inv/eversion, and add/abduction;h.Foot: dorsi/plantarflexion, inv/eversion, and int/external rotation.3.Files named with ending grf contain three tabs (1) mean and (2) standard deviation of all gait cycles of the GRF on the right and left side in the anteroposterior, vertical, and mediolateral directions;4.Files named with ending kinematics contain three tabs (1) mean and standard deviation of the spatiotemporal parameters; (2) mean of all gait cycles of the angular and linear kinematics on the right and left side; and (3) standard deviation of all gait cycles of the angular and linear kinematics on the right and left side.The following is a partial exploratory analysis of the data. The curves in this section represent the ensemble average across all participants, only the right leg and the pelvis curves. DOI:10.6084/m9.figshare.14896881). The study contains raw data comprising marker trajectories and GRFs and processed data comprising joint angles that characterize the gait pattern of each participant. A limitation is that there was no foot contact with the force plate in some trials. This circumstance limits the usability of the force plate data. Our sample is small and heterogeneous. Future collections may complement our data set.This study presents a public data set of overground walking kinematics and kinetics in ON and OFF medication for 26 individuals with PD , which may help with PD diagnosis, symptom monitoring, therapy management, rehabilitation, and fall risk assessment and prevention. In addition, improving Parkinson’s disease individuals’ conditions is a major challenge that can be addressed with new emerging technologies such as collaborative robots to assist them during rehabilitation treatments or wearable sensors and devices to monitor and alert them to fall-risk situations; machine learning techniques can increase the effectiveness of these assistive and signaling devices by giving them some awareness of the patients’ situations.10.6084/m9.figshare.14896881.The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: The studies involving human participants were reviewed and approved by Federal University of ABC. The patients/participants provided their written informed consent to participate in this study.TS: methodology, data curation, and writing—original draft. TC, CO, RC, SH, EL, CB, and LS: methodology and data curation. MJ: writing—review and editing and supervision. DC: conceptualization, methodology, formal analysis, writing—review and editing, supervision, and project administration. All authors contributed to the article and approved the submitted version.


ACLF has a high risk of short-term mortality. ADAMTS13:AC and VWF:Ag are associated with ACLF development. We investigated the relationship between VWF:Ag/ADAMTS13:AC and prognosis of ACLF. In total, 101 patients with cirrhosis were enrolled in this study. The VWF:Ag/ADAMTS13:AC was associated with prognosis in the patients with ACLF in multivariate analysis. The cumulative survival of the patients with ACLF was significantly lower for patients with high VWF:Ag/ADAMTS13:AC compared with those with low VWF:Ag/ADAMTS13:AC. The VWF:Ag/ADAMTS13:AC predicted prognosis in patients with cirrhosis with ACLF.p < 0.05). The VWF:Ag/ADAMTS13:AC increased according to the progression of ACLF in patients with cirrhosis and predicted prognosis in patients with cirrhosis with ACLF.Acute-on-chronic liver failure (ACLF) has a high risk of short-term mortality. A disintegrin-like and metalloproteinase with thrombospondin type-1 motifs 13 (ADAMTS13) is a metalloproteinase that specifically cleaves multimeric von Willebrand factor (VWF). Imbalance between ADAMTS13 and VWF is associated with portal hypertension, which induces ACLF development. A previous study reported that ADAMTS13 activity (ADAMTS13:AC) and VWF antigen (VWF:Ag) are predictive biomarkers of ACLF development in patients with cirrhosis. This study investigated the changes in ADAMTS13:AC and VWF:Ag levels from before to after the development of ACLF to determine their usefulness as a prognostic biomarker in patients with ACLF. In total, 101 patients with cirrhosis were enrolled in this study. The level of ADAMTS13:AC and VWF:Ag was determined by an enzyme-linked immunosorbent assay. Cox proportional hazard regression analysis was conducted to determine independent prognostic factors for patients with liver cirrhosis in the post-ACLF group. ADAMTS13:AC levels gradually decreased in the order of non-ACLF group, pre-ACLF group, and finally post-ACLF group. VWF:Ag and the ratio of VWF:Ag to ADAMTS13:AC (VWF:Ag/ADAMTS13:AC) levels gradually increased in the order of non-ACLF group, pre-ACLF group, followed by post-ACLF group. VWF:Ag/ADAMTS13:AC and CLIF-C ACLF scores were associated with prognosis in the post-ACLF group in multivariate analysis. The cumulative survival of the post-ACLF group was significantly lower for patients with high VWF:Ag/ADAMTS13:AC (>9) compared with those with low VWF:Ag/ADAMTS13:AC (≤9) (HR: 10.72, 95% confidence interval: 1.39–82.78,  A disintegrin-like and metalloproteinase with thrombospondin type-1 motifs 13 (ADAMTS13) is a metalloproteinase that specifically cleaves multimeric von Willebrand factor (VWF) between the Tyr1605 and Met1606 residues in the A2 domain . ADAMTS1Acute-on-chronic liver failure (ACLF) develops in patients with LC after a bacterial infection, gastrointestinal bleeding, alcohol intake, or worsening of the underlying liver disease ,17. ACLFThis study investigated the changes in the imbalance of the ADAMTS13 enzyme–VWF substrate from before to after the development of ACLF, to determine whether ADAMTS13:AC and VWF:Ag can be used as a prognostic biomarker in patients with ACLF.This retrospective observational study included a series of 101 patients with LC whose ADAMTS13:AC and VWF:Ag levels were assayed in our hospital between August 2012 and October 2021 . Among tg at 4 °C for 15 min and stored in aliquots at −80 °C until analysis. Plasma ADAMTS13:AC was determined via the sensitive chromogenic enzyme-linked immunosorbent assay (ELISA)  [The samples were stored in plastic tubes containing 0.38% sodium citrate. Platelet-poor plasma was prepared by centrifuging at 3000× , Japan) . The nor, Japan) .https://www.r-project.org, last accessed on 10 January 2023). EZR is a modified version of the R commander version 2.7–1 that includes statistical functions frequently used in biostatistics [p-value of <0.05 was considered significant.The statistical analysis was performed using EZR , which is a graphical user interface for R  (p < 0.05) (p < 0.05)  a. The VW < 0.05) b. Finall < 0.05) c.r = 0.492, p < 0.05), PT , and platelet count   and Cre   and PT   and Cre  (ADAMTS13:AC was directly correlated with Alb ( < 0.05) a–c. In t < 0.05) d,e. VWF: < 0.05) f,g. Conv < 0.05) h,i.p < 0.05). The PT and ADAMTS13:AC levels in the survival subgroup of the post-ACLF group were higher than those of the mortality subgroup (p < 0.05 for both). The chronic liver failure consortium (CLIF-C) ACLF score, MELD score, VWF:Ag level, and VWF:Ag/ADAMTS13:AC level in the survival subgroup of the post-ACLF group were lower than those of the mortality subgroup . We performed univariate analysis using the factors that were reported previously for the association of prognosis of ACLF. To determine prognostic factors for patients with liver cirrhosis in the post-ACLF group, we performed multivariate analysis using VWF:Ag/ADAMTS13:AC, CLIF-C ACLF score, Cre, and MELD score, which had p-values <0.1 in the univariate analysis. The VWF:Ag/ADAMTS13:AC and CLIF-C ACLF scores were associated with prognosis in the post-ACLF group (p < 0.05 for both) (p < 0.05).The characteristics of the outcomes in patients with LC in the post-ACLF group are shown in or both) . The timor both) a. The AUor both) b–d. The or both) e–g. The In this study, ADAMTS13:AC, VWF:Ag, and VWF:Ag/ADAMTS13:AC levels gradually decreased, increased, and increased, respectively, in the order of the non-ACLF group, pre-ACLF group, and post-ACLF group. Our previous study reported that the VWF:Ag/ADAMTS13:AC became a predictive biomarker for ACLF development ,30, esopThe VWF:Ag/ADAMTS13:AC was demonstrated to be a prognostic biomarker for patients with LC with ACLF in the present study. A previous study reported that ACLF patients with high VWF:Ag levels had a lower survival rate than those with low levels . In addiPatients with LC have gut dysbiosis , which iThis study had several limitations, including enrolment at a single study center and a small sample size. Moreover, the occasional occurrence of VTE  in patients with LC may affect the VWF:Ag/ADAMTS13:AC ,40. A prIn summary, the VWF:Ag/ADAMTS13:AC was increased according to progression of ACLF and was independently associated with prognosis in patients with ACLF.


Corrigendum to: Cranial Musculoskeletal Description of Black-Throated Finch (Aves: Passeriformes: Estrildidae) with DiceCTIntegrative Organismal Biology, Volume 3, Issue 1, 2021, obab007, https://doi.org/10.1093/iob/obab007Materials and methods, this should read: “fledgling P. cincta ISIS No. 18031).” instead of: “fledgling P. cincta ISIS No. 18032).” This error has now been corrected in the article online.In the originally published version of this manuscript, there was an error in a finch specimen number. In section In addition, the display of the Vietnamese abstract has been corrected in the PDF version of the manuscript.


PC provision is a moral obligation for all health professionals to protect public safety and wellbeing amid serious illness diagnosis and the heightened risk of suicide. Indeed, it is a matter of life and death.WER: Conceptualization, Writing—Original Draft, Writing—Review & Editing; MM: Writing—Review & Editing; HMC: Writing—Review & Editing.10.13039/100015348Cambia Health Foundation, 10.13039/100000867Robert Wood Johnson Foundation, and 10.13039/100017234The Rita and Alex Hillman Foundation. MM is funded by 10.13039/100000054NCI/10.13039/100000002NIH award number T32CA00946. WER and MM acknowledge 10.13039/100000054NCI/10.13039/100000002NIH award number P30CA008748. Unrelated to this manuscript, HMC has received grant funding from 10.13039/100008794Research Manitoba, 10.13039/100009395CancerCare Manitoba Foundation, 10.13039/501100000024Canadian Institutes of Health Research; receives book royalties from Oxford University Press; has received payment or honoraria from the Societa Italianá Di Cure Palliative National and Saskatoon Hospice and Palliative Care Association; and serves on the ReSet Pharma/NYU advisory board for psilocybin protocol development in advanced cancer.WER has received funding unrelated to this manuscript from


Bioscience Reports at the request of the authors due to concerns over the reliability of the results. The Editorial Office and the authors were alerted by a reader to apparent similarities between images in this manuscript with those from other manuscripts (from unrelated authors), which include the following:Figure 5C GAPDH/A549 bands and the GAPDH bands of both Fig. 5F from Liu et al. 2020 (doi: 10.1042/BSR20191330) and Fig. 4L from Fu et al. 2019 (doi: 10.18632/aging.102325),The Figure 3 A549 migration/si-NC, H1299 migration/si-circVANGL1 and the H1299 invasion/si-circVANGL1 panels with those from Figs. 6D and 7F from Yang et al. 2020 (doi.org/10.3389/fonc.2020.01104),Figure 2A (A549 and H1299/Bcl-2 and GAPDH bands) with bands from Fig. 3D from Sun et al. 2017 (doi: 10.18632/oncotarget.15846),The Figure 6A A549/GAPDH band with bands in both Fig. 3F from Chen et al. 2019 (doi: 10.1042/BSR20191050) and Fig. 4C from Li et al. 2019 (doi: 10.1042/BSR20181882).This article is being retracted from The authors have been unable to find the original data and are therefore unable to correct the article. They wish to retract the article. The Editor-in-Chief and Editorial Board agree with the retraction.


Proc. R. Soc. B288, 20210525. (Published online 23 June 2021). (https://doi.org/10.1098/rspb.2021.0525)Tetraselmis suecica growth rate. We hereby make the following three corrections in the Results, figure 1a and electronic supplementary material, table S1.We apologize for any inconvenience regarding the presentation of results on the Correction 1:Tetraselmis suecica  (a). t-test pairwise comparisons show a significant difference of the red ALAN treatment from the dark .The first paragraph of the Results should read: The ALAN treatment did not have an effect on the growth rate of = 0.119) a. t-testCorrection 2:a) in Correction of panel (Correction 3: Correction of growth rate in electronic supplementary material, table S1.


The fourteenth author’s name is spelled incorrectly. The correct name is: Iyad A. Yousef. There is also an error in affiliation 10 for author Iyad A. Yousef. The correct affiliation 10 is: Department of Physical Education, College of Education, Birzeit University, Ramallah, Palestine.


In “The Need for Standards Unification in Forensic Laboratory Practices: Protocol for Setting Up the Arab Forensic Laboratories Accreditation Center” :e36778) the authors noted one error.In the originally published article, Reference 6 was incorrectly published as follows:Naglaa F. The Prevalence of Illicit Drugs and Alcohol in Road Traffic Accident Fatalities in the Eastern Region of Saudi Arabia. IJFMT 2020 Oct 7 [doi: 10.37506/ijfmt.v14i4.12122]This reference is now corrected as follows:Mahmoud NF, Al-Mazroua MK, Afify MM. The Prevalence of Illicit Drugs and Alcohol in Road Traffic Accident Fatalities in the Eastern Region of Saudi Arabia. Indian Journal of Forensic Medicine & Toxicology 2020;14(4): 3219-3225. [doi: 10.37506/ijfmt.v14i4.12122]The correction will appear in the online version of the paper on the JMIR Publications website on July 14, 2022, 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.


Nature Communications 10.1038/s41467-022-31529-4, published online 01 July 2022Correction to: Nat. Commun.8, 1–6 (2017). The correct form of Ref. 18 is: Nat. Commun.8, 14540 (2017).The original version of this Article contained an error in Ref. 18, which was incorrectly given with the wrong page number as: Nat. Commun.7, 1–6 (2016). The correct form of Ref. 22 is: Nat. Commun.7, 10983 (2016).The original version of this Article contained an error in Ref. 22, which was incorrectly given with the wrong page number as: Light Sci. Appl.7, 1–6 (2018). The correct form of Ref. 33 is: Light Sci. Appl.7, 74 (2018).The original version of this Article contained an error in Ref. 33, which was incorrectly given with the wrong page number as: Nat. Commun.11, 1–7 (2020). The correct form of Ref. 40 is: Nat. Commun.11, 897 (2020).The original version of this Article contained an error in Ref. 40, which was incorrectly given with the wrong page number as: This has been corrected in the PDF version of the Article.


Laparoscopic vs. Open Pancreaticoduodenectomy After Learning Curve: A Systematic Review and Meta-Analysis of Single-Center StudiesBy Feng Q, Xin Z, Qiu J and Xu M (2021). Front. Surg. 8:715083. doi: 10.3389/fsurg.2021.715083The journal and Chief Editors retract the 10 September 2021 article cited above.Following publication, the cited article was found to be substantially similar to a previously published study by Feng et al. in Gland Surgery :1655–1668; doi: 10.21037/gs-20-916). Our investigation, conducted in accordance with Frontiers’ policies, concluded that this similarity was unacceptably high, and the Publisher is retracting the article.“This retraction was approved by the Chief Editors of Frontiers in Surgery and the Chief Executive Editor of Frontiers. The authors have agreed to the retraction.”


Erratum to: Hack B, Timalsina U, Tefera E, et al. Oral Prescription Opioids as a High-RiskIndicator for Hepatitis C Infection: Another Step Toward HCV Elimination. Journal of PrimaryCare & Community Health. January 2021. doi:10.1177/21501327211034379Incorrect versions of Figures 1 and 2 for this article were uploaded at the time ofpublication. The correct Figures are now published.


Int J Epidemiol 2020; doi: https://doi.org/10.1093/ije/dyaa226First published online: 8 December 2020, In the text of the results, several negative values in confidence intervals were published as positive values, and a hyphen was missing from a range of years indicating 2011 to 2016.These errors have now been corrected.


MYC/BCL2/BCL6 triple hit and TP53 deletion in a case of high-grade B cell lymphoma receiving CAR T cell immunotherapy. J Immunother Cancer 2021;9:e002029. doi:10.1136/jitc-2020-002029Wang J, Shang Z, Wang J, In the original published article, the funding statement was incomplete. The “(No. 8170211 to MX)” lost a number.The correct funding statement is: This work was supported by the National Natural Science Foundation of China (No. 81 770 211 to MX) and the National Natural Science Foundation of China (No.81830008 to JZ).


CLINICS (Sao Paulo). 2021;76:e2914errhttps://doi.org/10.6061/clinics/2021/e2914, published in 2021.Erratum for: doi: Expression of Amphiregulin in Enchondromas and Central Chondrosarcomas, RESULTS section in the Abstract, remove the following sentences:In the article “Enchondromas or chondrosarcomas? Please clarify. This will help understand the next sentence on enchondromas localized in short bones and long bones.”


Nymphalidae is the largest group of butterflies with high species richeness. Rhinopalpapolynice , a forest species, was discovered in the mid-stream of the Yuanjiang-Red River Valley of Yunnan Province for the first time, which represents the first record of the genus Rhinopalpa in China.The family R. polynice  is the first record of the genus Rhinopalpa from China. The specimen was collected in the mid-stream of the Yuanjiang-Red River Valley of Yunnan Province. The female genitalia are described for the first time.The species  Nymphalidae is a cosmopolitan family of Papilionoidea with high species richness, which includes about 6,100 species in 12 subfamilies and 350 genera   and Dendrocnide (Urticaceae) in the wild  , which i [1779]) . Rhinopa birmana . Rhinopathe wild . Three sthe wild . HoweverR. polynice was collected from Yuanyang County, southeast Yunnan, China, which sits in the mid-stream of the Yuanjiang-Red River Valley and is isolated from the sites in North Vietnam where R. polynice was previously recorded. The female genitalia are described for the first time. The specimen, collected in this study, is the first record of the genus Rhinopalpa in China. Both specimen and dissected genitalia are deposited in the insect collection of Southwest Forestry University (SFU), Kunming, China.In this study, a female Spread specimens were photographed by Canon 5DS  with medium grey background and the photos were adjusted using Adobe Photoshop CS .To observe the female genitalia, the abdomen was treated with 1 ml 10% sodium hydroxide solution to digest soft tissue at 70℃ for 1 h and then dissected in a water-filled Petri dish under a stereoscope. The genitalia were then transferred to 80% glycerol for 12 h to render them transparent. A solutiion of 2% chlorazol black was used to dye the membranous parts for 10 min in order to obtain better photographic results. Photographs were taken with a Nikon SMZ1500 stereoscope  and automatically stacked using Helicon Focus 7.5.8 . After observation and photography, a piece of card was cut, the genitalia were fixed to the card by white emulsion and pinned with the specimen to avoid confusion. The photographs were adjusted and arranged using Adobe Photoshop CS . Terminology of the female genitalia follows E0B18FEA-C7E3-5D41-B44C-DA0C61E125FDType status:Other material. Occurrence: recordedBy: Wen Shi; individualCount: 1; sex: female; lifeStage: adult; disposition: in collection; Taxon: scientificName: Rhinopalpapolynice ; kingdom: Animalia; phylum: Arthropoda; class: Insecta; order: Lepidoptera; family: Nymphalidae; genus: Rhinopalpa; specificEpithet: polynice; taxonRank: species; scientificNameAuthorship: ; vernacularName: The Wizard; taxonomicStatus: accepted; Location: country: China; stateProvince: Yunnan Province; county: Yuanyang County; locality: Shalatuo Village; verbatimElevation: 928m; verbatimCoordinates: 23°6.047'N, 102°34.43'E; Identification: identifiedBy: Huihong Zhang; dateIdentified: 2020; Event: samplingProtocol: sweep net; year: 2020; month: 9; day: 29; habitat: Evergreen broad-leaved forest; Record Level: basisOfRecord: PreservedSpecimenFemale  daiyuanae Hu, Zhang & Cotton, 2018, Graphium  wenlingae Hu, Cotton & Monastyrskii, 2019 and Losariadoubledayi , all of them being forest species  in South Thailand to Malay Peninsula and ssp. birmana  in Assam, Myanmar and Indochina (Rhinopalpap.birmana is different from R. p.eudoxia by paler colour on the upperside, plus better-defined hindwing subterminal black spot in space M1 and narrower forewing subterminal band (R. p.birmana. However, R. p.eudoxia, due to insufficient morphological differences. In this study, as we only examined one specimen, it is impossible to further analyse its subspecies status with such limited material. Hence, the subspecies identity of R. polynice in Yunnan still requires future study.In recent years, three cryptic species of butterflies were discovered from Indochina,  species . Hence i forests , two subndochina . Rhinopanal band . Monasty


International Journal of ObesityCorrection to: 10.1038/ijo.2016.206The original version of this article unfortunately contained a mistake in Table


European Journal of Public Health, 2021, https://doi.org/10.1093/eurpub/ckab182In the originally version of the article, Figure 1 was published:but is now revised as follows:


Vol 45 (08) 2015 | DOI: 10.1002/eji.201545451The presence of prolines in the flanking region of an immunodominant HIV‐2 gag epitope influences the quality and quantity of the epitope generatedSabelle Jallow, Aleksandra Leligdowicz, Holger B. Kramer, Clayton Onyango, Matthew Cotten, Cynthia Wright, Hilton C. Whittle, Andrew McMichael, Tao Dong, Benedikt M. Kessler and Sarah L. Rowland‐JonesThe copyright line of the above article has been changed since first published on 24 June 2015 from the standard copyright to CC‐BY.The correct copyright of this article is:European Journal of Immunology published by Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim.© 2015 The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.


R. Soc. Open Sci.7, 192151 (Published 5 August 2020) (doi:10.1098/rsos.192151)This correction refers to an error in the numeric values reported in This error has no implications on the results and conclusions drawn in the publication. The paper has now been updated.


There were errors in the extraction of numbers used to calculate the prevalence of limited health literacy, resulting in the incorrect extracted values for Souza, J. G., et al (2014), Kim, S. H. (2009), Chen, G. D., et al (2014), van der Heide, I., et al (2014), Aikens JE, Piette JD. (2009), Mancuso, J. M. (2010) and Wallace, A. S., et al (2010) in The Results section has also been affected by the errors in the extracted values. In the Included Studies subsection of the Results, there are errors in the second paragraph. The corrected paragraph should read: The study with the highest reported prevalence of limited health literacy (76.3%) was conducted to determine the mechanism through with health literacy exerted its influence on health outcomes related to diabetes care. It was a cross-sectional study involving 232 patients with T2DM attending regional hospital in Northern Taiwan. Health literacy was assessed using NVS. The mean age of the participants was 58.02 years (SD 9.49), 44.8% of participants were female, and 38.4% had received primary education or below. [55]The Pooled prevalence of limited HL: A meta-analysis subsection of the Results has also been affected and have been updated as a result. The corrected section should read: The pooled global prevalence of limited health literacy was 32.5% (95% CI: 24.9–40.1). Meta-analysis of all included studies yielded high heterogeneity ; which could primarily be explained by the country in which the study was conducted (p<0.001), the health literacy tool used (p = 0.002), participants’ education levels (p<0.001), and the setting where the study was conducted (p<0.001). Most of the included studies (n = 18) were conducted in the USA. Thirteen of these studies measured functional HL specifically, these studies were included in a separate meta-analysis and presented in a forest plot in Figs


Correction to: BMC Public Health 20, 1150 (2020)https://doi.org/10.1186/s12889-020-09258-4The authors of this study  would li1). Reference 19 and 20 is reversed. The following description is correct.https://www.mhlw.go.jp/english/database/db-hw/vs01.html19. Ministry of Health, Labour and Welfare, Vital statistics in Japan 20. von Elm E, Altman DG, Egger M, Pocock SJ, Gtzsche PC. Vandenbroucke JP; STROBE initiative. Strengthening the reporting of observational studies in epidemiology (STROBE)statement: guidelines for reporting observational studies. BMJ. 2007;335:8068.2). In abstract, the descriptions do not match the results in the table 3 and 5. The following description is correct.Results: Numbers of target facilities changed yearly: 1857 in 2011, 2544 in 2013, and 2376 in 2016. The mean number of screening-test participants increased per facility, but the median increased or decreased. The mean number of positive individuals identified decreased. Multivariate analysis results revealed the number of screenings was reduced in Kanto and Chubu/Tokaiareas, although some areas (Hokkaido/Tohoku and Chugoku/Shikoku) and high volume in facility types increased. Regarding the positive rates, some areas  exhibited decreases or increases by facility type. The number of western blotting (WB) implementations decreased in 2016, positive rates identified by WB decreased in 2016 andin all areas, and the number of facility types increased. The number of PCR participants increased in 2016 andin Kinki, but a decrease in facility type was observed. Positive rates were decreased in all areas (except Chubu/Tokaiarea) but facility types were increased.3) (P3) Results: the descriptions do not match the results in the table 3 and 5. The following description is correct.By multivariate analysis, some areas (Hokkaido/Tohoku and Chugoku/Shikoku) and facility types showed increased screening coverage although screening coverage in other areas (Kanto and Chubu) decreased. Positive rates were decreased in some areas  and positive identification increased by facility type. Numbers of WB performed were decreased in 2016 and the positive identification rate was lower in 2016 and inall areas; however, facility types were increased. The number of PCR participants was markedly increased in 2016 and inKinki;


Vol .14 (2021) No. 2 pp. 202–2302018 JAPAN Critical Limb Ischemia Database (JCLIMB) Annual ReportThe Japanese Society for Vascular Surgery JCLIMB CommitteeIn the above secondary publication article, numerical errors in tables were found after the publication. The erratum of the original Japanese article was published in Japanese Journal of Vascular Surgery Vol. 30 (2021) No. 4. The corrected version of table is given on the next page.Table 4-4p. 221, Incorrect:Correct:


BMJ 2021;374:n2106, doi:10.1136/bmj.n2106, published 29 September 2021), two research team members were inadvertently missed in the article’s submission. The article and PDF will be updated in due course.In this paper by Gray and colleagues (


Correction to:Clin Trans Immunol 2019; 8: e1050. doi: https://doi.org/10.1002/cti2.1050. Published online 20 May 2019.The authors inadvertently excluded a funding body in the Acknowledgments section. The corrected version appears below:ACKNOWLEDGMENTSWe acknowledge support from the Cancer Council SA Beat Cancer Project Hospital Research Support Package, a Cancer Council Early Career Research Fellowship, the Health Services Charitable Gifts Board (Adelaide) and The Hospital Research Foundation.The authors apologise for this error.


Vol. 218, No. 4 | 10.1084/jem.20202187 | January 19, 2021The authors regret that the amino acid sequence of one of the T epitopes in The error appears in print and in PDFs downloaded before September 30, 2021.


J Am Heart Assoc. 2021;10:e019605. DOI: 10.1161/JAHA.120.019605), corrections were needed.In the article by Tarp et al, “Fitness, Fatness, and Mortality in Men and Women From the UK Biobank: Prospective Cohort Study,” which published on March 13, 2021 and appeared in the March 16, 2021 issue of the Journal ”. No change has been made to the data in those rows.The publisher regrets the errors.https://www.ahajournals.org/doi/10.1161/JAHA.120.019605.The footnotes have been added to the current online version of the article, which is available here:


In the original article published, the references are cited incorrectly in Tables 1, 2 and 3. The correct information is given below:The correct citation number for the study Plato et al. is reference number 39: Plato CC, Norris AH. Osteoarthritis of the hand: longitudinal studies. Am J Epidemiol. 1979;110(6):740–746.The correct citation number for the study Kallman et al. is reference number 37: Kallman DA, et al. The longitudinal course of hand osteoarthritis in a male population. Arthritis Rheum. 1990;33(9):1323–1332.The correct citation number for the study Busby et al. is reference number 38: Busby J, et al. A longitudinal study of osteoarthritis of the hand: the effect of age. Ann Hum Biol. 1991;18(5):417–424.The correct citation number for the study Kalichman et al. is reference number 43: Kalichman L, et al. Repeated measurement study of hand osteoarthritis in an apparently healthy Caucasian population. Am J Hum Biol. 2005;17(5):611–621.The correct citation number for the study Kalichman et al. is reference number 44: Kalichman L, et al. Epiphyseal expansion in hand bones: association with age, sex, and hand osteoarthritis. Osteoarthr Cartil. 2008;16(5):560–565.The correct citation number for the study Hoeven et al. is reference number 40: Hoeven TA, et al. Association of atherosclerosis with presence and progression of osteoarthritis: the Rotterdam Study. Ann Rheum Dis. 2013;72(5):646–651.The correct citation number for the study Haugen et al. is reference number 41: Haugen IK, et al. The prevalence, incidence, and progression of hand osteoarthritis in relation to body mass index, smoking, and alcohol consumption. J Rheumatol. 2017;44(9):1402–1409.The correct citation number for the study Marshall et al. is reference number 42: Marshall M, et al. Metabolic risk factors and the incidence and progression of radiographic hand osteoarthritis: a population-based cohort study. Scand J Rheumatol. 2019;48(1):52–63.


The above article from Food Science & Nutrition, published online on 05 June 2020 in Wiley Online Library (http://onlinelibrary.wiley.com/), has been retracted by agreement between the authors, the Editor‐in‐Chief, Martin Lo, and Wiley Periodicals LLC. The retraction has been agreed due to an error in Formula 2 which invalidates the results of the study.Retraction: Zhang X, Zhang J, Chen T. An ANP‐fuzzy evaluation model of food quality safety supervision based on China's data. Food Sci Nutr. 2020;8: 3157–3163.


Correction to: BMC Cancer 22, 203 (2022)https://doi.org/10.1186/s12885-022-09299-5Following publication of the original article , an erroDr. Yehoda Martei’s research work is supported by an NIH K01 Award—K01TW011481. Bege Dauda’s research is supported by the Penn Center for Global Genomics and Health Equity (PennGGHE) with funding from Genentech, Inc. and the Penn Medicine Office of Inclusion, Diversity, and Equity.The original article  has been


These corrigenda serve to correct figure errors in the article by Ju et al:, the 40X image for the nontarget control (NTC) condition was a duplicate of the RhoB‐2 micrograph.In Figure Figure 4 is, as follows:The correct version of Additionally, in Figure https://kmplot.com/) for RhoB using: Affymetrix id 212099_at, median cutoff, JetSet best probe set, and 120 months as follow up threshold.All plots were made from data using the online data portal (The correct version of Figure Neither error alters the results or conclusions of the study. The authors regret any inconvenience this may have caused.Reference:Ju JA, Godet I, DiGiacomo JW, GilkesDM. RhoB is regulated by hypoxia and modulates metastasis inbreast cancer.Cancer Reports. 2020;3:e1164.https://doi.org/10.1002/cnr2.1164


Correction on:Pregnant women’s knowledge of non-pharmacological techniques for pain relief during childbirthBy Maria A. Heim, Maria Y. MakuchEuropean Journal of Midwifery, Volume 6, Issue February, Pages 1-6Publish date: 7 February 2022https://doi.org/10.18332/ejm/145235DOI: https://doi.org/10.18332/ejm/145235. The pdf file has been replaced.In the original article, in the pdf file of the manuscript, the article DOI number did not correspond to the assigned DOI number. The correct manuscript DOI is


Journal of Experimental Botany, Advance Access publication: 18 June 2020, doi: doi:10.1093/jxb/eraa285The version of this article that first published contained an error in the unit scale in Fig. 1E. The correct value of 0.025 nm has now been included. The Publisher apologizes for this error.


International Journal of Oral Science 10.1038/s41368-020-00101-5, published online 14 December 2020Correction to: 1 the authors reported the below errors.Following publication of this article,1. Reason for modification: ambiguous descriptionThird section of RESULTS: Effects of autophagy on the degradation of FN1Lines 17–20, paragraph 4: The data showed that CQ strongly inhibited autophagic activity and blocked the degradation of FN1 in SCC-25 cells  and SCC-15 cells  until 18 h.Baf A1 strongly blocked the degradation of FN1 in SCC-15 cells  until 18 h.Corrected to: The data showed that CQ strongly inhibited autophagic activity and blocked the degradation of FN1 in SCC-25 cells  and DISCUSSION:The first sentence of paragraph 3: Vimentin has been excluded as a marker of metastasis in a variety of cancers, such as breast cancer and non-small cell lung carcinoma.regarded as a marker of metastasis in a variety of cancers, such as breast cancer and non-small cell lung carcinoma.Corrected to: Vimentin has been 2. Reason for modification: Misaligned with the content of FigureSecond section of RESULTS: Autophagic activity in different OSCC cell linesLine 14: .Corrected to: .Third section of RESULTS: Effects of autophagy on the degradation of FN1Line 1, paragraph 4: Fig. 4kCorrected to: Fig. 4aThe last section of RESULTS: Roles of the PB1 and UBA domains of p62 in the degradation of FN1The fourth line from the bottom: .Corrected to: .3. Reason for modification: Mistakes of figure legend serial number sequenceLegend of Fig. 2:c Western blot data. d Migration assay data. e Western blot data.Line 2: c Migration assay data. d Western blot data. e AO staining data. f Western blot data.Corrected to: Legend of Fig. 4:h Quantification of the average fluorescence values of single cells in Fig. 3g.Line 5: h Quantification of the average fluorescence values of single cells in (g).Corrected to: Fig. 5:b, c serial number error, b label content is incorrect.Original Figure 5:Corrected to: Switch the serial numbers b and c. IB: BN1 changed to IB: FN1.Revised Figure 5:


Correction to: Trop Med Health 49, 48 (2021)https://doi.org/10.1186/s41182-021-00340-0Following publication of the original article , a fundibold typeface.The updated Funding section is given below and the changes have been highlighted in FundingThis study is partially funded by Japan Agency for Medical Research and Development, Grant/Award Numbers: JP19fk0108104h0401, JP20fk0108104h0402.This work is in part funded by Nagasaki University . The original article  has been


The divThe content from Equations (1) and (2) in Section 2 needs to be corrected. The updated information is included below:The cited reference [27] needs to be corrected. The updated information is included below:divIt should be noted that, in Equation (2), we take into account the incompressibility of the nanofluid: The content from Equations (3) and (4) in Section 2 needs to be corrected. The updated information is included below:The References section needs to be corrected. The book title in Ref. [26] was incorrect. The updated information is included below:Fluid Mechanics, 2nd ed.; Pergamon: London, UK, 1987.26. Landau, L.D.; Lifshitz, E.M. The changes do not affect the scientific results or conclusions in the original published paper.The authors would like to apologize for any inconvenience caused to the readers by these changes.


PLoS Computational Biology, volume 3, issue 2: doi:10.1371/journal.pcbi.0030025In The set of four equations in the Materials and Methods section had three extra minus signs, which were incorrect. The following are the correct equations.


PLoS Clinical Trials, volume 1, issue 2: DOI: 10.1371/journal.pctr.0010012In The numbering of the reference citations in Table 2 is incorrect. The correct numbering is shown in the table below.


PLoS Pathogens, volume 2, issue 6: DOI: DOI: 10.1371/journal.ppat.0020066In The PDF version of the above article states that a previous version was published as an Early Online Release on June 23, 2006. This information appeared in error. No previous version of the article has been published.


PLoS Medicine, volume 3, issue 8: doi:10.1371/journal.pmed.0030295In Equation 1 appeared incorrectly. It should read as:The equations in the legend of Table 1 were also incorrect. The full model should be:The null model should be:


Thousand Oaks (CA): Sage Publications; 2003) was omitted from the list of references; and several of the references were not numbered consecutively. Corrections were made on our Web site on June 15, 2007, and appear online at www.cdc.gov/pcd/issues/2007/apr/06_0076.htm. We regret any confusion or inconvenience this error may have caused.Because of an editing error, the references in the article "From Heart Health Promotion to Chronic Disease Prevention: Contributions of the Canadian Heart Health Initiative" were incorrectly presented. References (4) and (14) were omitted from the text of the article; one source (Creswell JW. Research design: qualitative, quantitative, and mixed methods approaches. 2


PLoS Computational Biology, vol 2, issue 12: doi:10.1371/journal.pcbi.0020156In In the Acknowledgments section of this Perspective, the spelling of the name of Pavel Pevzner was incorrect.


PLoS Medicine, volume 4, issue 4, doi:10.1371/journal.pmed.0040074:In PLoS Medicine article, the article in The Lancet was still in press):The author inadvertently omitted the following citation that addresses the same topic  Global burden of childhood hearing impairment and disease control priorities for developing countries. Lancet 369: 1314–1317.Lancet paper, as reference [10], in an earlier Correspondence article published in PLoS Medicine: Olusanya BO (2007) “The Right Stuff”: The Global Burden of Disease. PLoS Med 4(2): e84. doi:10.1371/journal.pmed.0040084The author did, however, cite this


Correction to:Molecular Psychiatry advance online publication, 8 December 2015; doi:10.1038/mp.2015.178Following publication of this paper, the authors noticed that


Ianiropsis serricaudis (first record for the Iberian Peninsula and Lusitanian marine province), Paracerceis sculpta (first record for the Alboran Sea ecoregion), Paradella dianae, Paranthura japonica (earliest record for the Iberian Peninsula) and Sphaeroma walkeri. Photographs with morphological details for identification for non-taxonomic experts are provided, their worldwide distribution is updated and patterns of invasion are discussed. We report an expansion in the distribution range of all species, especially at the Strait of Gibraltar and nearby areas. Ianiropsis serricaudis and Paranthura japonica are polyvectic, with shellfish trade and recreational boating being most probable vectors for their introduction and secondary spread. The subsequent finding of the studied species in additional marinas over the years points at recreational boating as a vector and indicates a future spread. We call for attention to reduce lags in the detection and reporting of small-size exotics, which usually remain overlooked or underestimated until the invasion process is at an advanced stage.Effective management of marine bioinvasions starts with prevention, communication among the scientific community and comprehensive updated data on the distribution ranges of exotic species. Despite being a hotspot for introduction due to numerous shipping routes converging at the Strait of Gibraltar, knowledge of marine exotics in the Iberian Peninsula is scarce, especially of abundant but small-sized and taxonomically challenging taxa such as the Order Isopoda. To fill this gap, we conducted several sampling surveys in 44 marinas and provide the first comprehensive study of marine exotic isopods from the Iberian Peninsula, the southern side of the Strait of Gibraltar (northern Africa) and the Balearic Islands. Exotic species included  Carcinus maenas  and the Chinese mitten crab Eriocheir sinensis , both being aggressive competitors for native species, affecting aquaculture facilities and harvests and causing structural damage to river banks , despite having a much smaller size and being less notorious, also achieved a globally widespread distribution in a relatively short timeframe, as well as causing malfunctioning to pumps and fouling biomass to cages in aquaculture facilities  and from the IPTM (Instituto Portuário e dos Transportes Marítimos: http://www.atlanticstrategy.eu/en/partners/iptm-instituto-portu%C3%A1rio-e-dos-transportes-mar%C3%ADtimos-ip). Census data for the locality to which each marina belongs was obtained from the National Statistical Systems of Spain (http://www.ine.es), Portugal (http://www.ine.pt) and Morocco (http://www.hcp.ma) . Voucher material of each species was deposited in the Museo Nacional de Ciencias Naturales , Madrid, Spain. The rest of the material was kept in the Laboratorio de Biología Marina, University of Seville, Spain.Examined material was collected during several sampling surveys carried out from 2011 to 2017, in order to study the fouling epifauna in 44 marinas around the Iberian Peninsula, the Southern side of the Strait of Gibraltar (northern Africa) and Baleares. Marina choice was based on its vessel traffic and popularity as tourist locality (see .hcp.ma) . In 2011ibraltar . AdditioIaniropsis serricaudis, Paracerceis sculpta, Paradella dianae, Paranthura japonica and Sphaeroma walkeri  had increased the number of exotic species, sometimes by 200% or more  record of Paranthura japonica from the Iberian Peninsula. We report an extension in the distribution range for all species along the coasts of the Iberian Peninsula and adjacent waters.Five exotic marine isopods were found on fouling communities associated to marinas:  walkeri . From thmore see . We provJaniropsis serricaudisIaniropsis notoensisIaniropsis serricaudisIaniropsis sp. Ianiropsis sp. St3: 2 males (MNCN 20.04/11439), 18 males and 119 females clinging on bryozoan Bugula neritina, floating pontoons, 07/05/2011.Material examined : Ianiropsis is similar to Janira and Carpias: three claws on walking legs, coxae visible in dorsal view and usually can only be definitely identified from the males. Ianiropsis can be distinguished from the other two by bearing an elongated carpus of male pereopod I (Carpias) or not elongated propodus and carpus at all (Janira) (I. serricaudis: (i) antennal peduncle segments 6 and 7 particularly elongated relative to the overall length of the antennae  . Our speantennae ; (ii) heantennae , 1C  daantennae .Laminaria, in water temperatures from 1.8 °C to 24 °C , 01/07/2017. St13: Six males, 13 females and 24 juveniles from Corallinaceae algae and green algae, 13/05/2017. St14.1: Four females and one juvenile on B. neritina, one male and one juvenile on Eudendrium sp., and one male and two female on Coralline algae, floating pontoons, 14/05/2017; four males, 12 females and 33 juveniles from fouling community on floating pontoons, 14/05/2017; one male and two females (MNCN 20.04/11443), three males six females and 16 juveniles collected from fouling community on floating structures, 02/07/2017. St14.2 One female and one juvenile from fouling substrates, floating structures, 02/07/2017. St34: One juvenile on A. verticillata, floating pontoons, 27/06/2011. St37: One female and one juvenile on A. verticillata, floating pontoons, 26/06/2011. St43: One female on Eudendrium sp., floating pontoons, 09/2012.Material examined : Paranthura species. These are: eyes well developed composed of less than 17 dark ommatidia; anterolateral angles of cephalon exceeding rostral projection; antenna 1 with 8 distinct articles , among algae (Sargassum) and in mussel beds and oyster reefs , 14 males, 224 females and 192 juveniles on fouling substrates, floating structures , 26/06/2017. St10: one female and four juveniles on fouling substrates, floating structures, 26/06/2017. St12: one female on fouling substrates, floating structures, 01/07/2017. St13: Three juveniles on B. neritina, one female and 10 juveniles on A. verticillata, floating pontoons, 17/05/2011; six juveniles on Coralline algae and green algae, floating pontoons, 13/05/2017. St14.1: One male, nine females, 19 juveniles on B. neritina, one male, 29 females, 23 juveniles on A. verticillata, floating pontoons, 17/05/2011; one female and six juveniles on A. verticillata, 12/2011; one juvenile on A. verticillata, one male and one female on hydrozoan Eudendrium sp., 05/2012; one juvenile on A. verticillata, 06/2012; one juvenile on A. verticillata, 07/2012; one female and 23 juveniles on A. verticillata, 08/2012; 15 females and 39 juveniles on A. verticillata, 09/2012; one female and five juveniles on A. verticillata, 10/2012; two females and nine juveniles on A. verticillata 11/2012; 8 females and 155 juveniles on fouling community, floating pontoons, 14/05/2017. St14.2: One male, six females and six juveniles on fouling substrates, floating structures, 01/07/2017. St16: One juvenile on B. neritina, floating pontoons, 17/05/2011. 18 females and 139 juveniles on fouling substrates, floating pontoons, /06/2017. St17: One male, 18 females and nine juveniles on fouling substrates, floating structures, 01∕07∕2017. St18: One juvenile on B. neritina, floating pontoons, 15/05/2011. St19: Two males, 18 females and 26 juveniles on fouling substrates, floating structures, 29/06/2017. St28: three females and seven juveniles on B. neritina, floating pontoons, 29/06/2011. St29: 8 females and 10 juveniles on B. neritina, floating pontoons, 29/06/2011. St30: Two juveniles on A. verticillata, floating pontoons, 28/06/2011. St31: One female and three juveniles on B. neritina, three females and seven juveniles on A. verticillata, floating pontoons, 28/06/2011. St34: five juveniles on B. neritina, six females and 54 juveniles on A. verticillata, floating pontoons, 27/06/2011. St40: Two juveniles on B. neritina, floating pontoons, 29/95/2011. St41: Seven juveniles on B. neritina, floating pontoons, 30/05/2011. St42: Two females and four juveniles on B. neritina, one juvenile on A. verticillata, floating pontoons, 30/05/2011.Material examined : Paracerceis, together with other Cerceis-like genera, can be distinguished by bearing pronounced marginal teeth on exopods of pleopods 1–3, especially obvious on pleopod 2 , five females and 36 juveniles collected from Corallinaceae algae and green algae, floating pontoons, 13/05/2017. St14.1: Two juveniles collected from fouling community, floating pontoons, 14/05/2017. St17: One male collected from fouling community of floating structures  01/07/2017. St23: One female collected from fouling substrates, floating structures, 28/06/2017. St22: One female from fouling substrates, floating structures, 28∕06∕2017 and one female on Bugula neritina, floating pontoons, 03∕07∕11.Material examined : Dynamenella dianae), Paradella can best be identified by males having a distinct dorsally-directed, Y-shaped and posteriorly closed pleotelson foramen; long, tapering and basally fused penial processes, and a long and basally narrow appendix masculina that usually extends beyond the distal margin of the endopod  collected from fouling community, floating structures , 02/07/2017.Material examined : Sphaeroma can be distinguished from related genera like Exosphaeroma and Lekanesphaera by bearing a robust maxilliped, particularly the palp, articles II–IV without lobes and a fringe of robust, plumose setae on internal border of endite    see  in an esand) see . Also inl, 1923)  or in ascilities .The first evidence of its occurrence in the Mediterranean Sea took place in 2012, when it was found to be abundant in the Lagoon of Venice  . The Lagversus the reported from native regions (up to seven). Moreover, our specimens were considerably large  in comparison to those reported from Russia    from thefemales)  and fromfemales) . Whetherve range .I. serricaudis is probably linked to accidental introduction with shellfish transfers. This is a likely associated vector (see Crassostrea gigas) and the Japanese clam (Ruditapes philippinarum), and export to other countries of Europe  (ia (USA)  and its ia (USA) , San Quiia (USA) ; Puerto ia (USA)  and nortia (USA) . It has ia (USA) ; and at ia (USA) . It was ia (USA) . From thia (USA) , Hong Koia (USA) , Taiwan ia (USA)  and Japaia (USA) , to Austia (USA)  and nortia (USA) . It is aia (USA) . In the ia (USA) , and decia (USA)  and westia (USA) . In the ia (USA) . In the ia (USA) , collectia (USA) , collectParacerceis sculpta   , being sP. dianae arrived to the Iberian Peninsula and the Mediterranean Sea from the Indian Ocean, from the Atlantic Ocean, or from both through multiple introductions. It was reported from the Italian coast in 1980  or the Madeira island system itself  since the early 1980s . Its native range only includes localities from Japanaese coasts (Crassostrea gigas (Thunberg 1793) from the Senday Bay (Japan) was massively introduced (Crassostrea angulata (Lamarck 1819). Paranthura japonica probably remained unnoticed or misidentified since then (see Ruditapes philippinarum (Adams and Reeve 1850) during the 1970s; and secondary spread to further Mediterranean marinas  at least since 2011. P. japonica was found in Barcelona, Benicarló and Mallorca , which are popular destinations for vessels cruising the western Mediterranean in between Barcelona to the West and northwestern Italy to the East . In 2014, two individuals of P. japonica were found within the Strait of Gibraltar’s vicinity, in Chipiona rocky shores (Cádiz) ; and three years later, it was abundant in marinas located in Cádiz Bay. Cádiz is a great hotspot for both international commercial shipping and pleasure craft, as well as a center for aquaculture production, including the Japanese clam Ruditapes philippinarum , and later on to Cádiz marinas (present in 2017). It is to be noticed that P. japonica was not present in the bryozoan B. neritina in Puerto América marina in 2011; but it was found associated to the same host in 2017. This fact supports this record as a new arrival of NIS into a particular region, and thus represents a Marine Strategy Framework Directive indicator to establish Cádiz Bay as a hotspot for marine introductions, following It was reported only recently from the Iberian Peninsula, from samples collected from fouling assemblages in marinas of the eastern coast in 2016 . Neverthppinarum . Just asi.e. role as prey-predator in the trophic chain, habitat selection, role in their ecosystem functioning) are of great need in here (see We have reported a distribution range extension for all exotic isopod species present in the studied areas, some of them proving to be polyvectic and well established in marinas. The next step is to evaluate their potential biological, social and economical impact, however, there are gaps of knowledge that hamper this task. Baseline studies delving into the ecology of all these species (here see . AlthougThere is a critical problem that keeps recurring and needs to be reduced: the lags in detection of a new arrival. In many occasions, much time lapse between the initial introduction and the report of it, with a bias for noticing invaders only after they become an abundant nuisance, due to inadequate monitoring or lack of taxonomic expertise see . This haIn order to be ready for decision making and implementation of invasion control, as well as assessment of future arrivals, prevention is the key; and all this starts with building comprehensive data on the presence and distribution range of exotic species, especially on new arrivals see . We cons10.7717/peerj.4408/supp-1Table S1List of introduced isopod species in European waters, updated with the findings of the present study. Name of the species, parasite/free-living status, origin, distribution in European waters, introduction status remarks and likely vectors of introduction are provided. MED, Mediterranean Sea; WMED, Western Mediterranean; CMED, Central Mediterranean; EMED, Eastern Mediterranean; ATL, Atlantic; NOR, North Sea; C, casual; E, established; NE, non-established; nd, no data available. Species with asterisk are those found to be present in the Iberian Peninsula.Click here for additional data file.


Correction to:Translational Psychiatry (2016) 6, e909; doi:10.1038/tp.2016.179; published online 4 October 2016In the online version of this paper, the second chart that appears in the Materials and Methods section, 'Real-time PCR' subsection, is incorrect. The correct chart appears below:The publisher regrets this error.


Correction to:Molecular Psychiatry (2017) 22: 1502-1508; advance online publication, 12 July 2017; doi: 10.1038/mp.2016.97In the first paragraph of the Results section and The corrected figure appears in previous page.


Correction to:Human Genome Variation (2016), 3, doi: 10.1038/hgv.2016.20; advance onlinepublication 7 July 2016After the online publication of this article, the authors noticed an error in the figureand legend of The correct figure should show that leftmost SNP is rs7939918.The correct The authors apologize for any inconvenience caused.


Current collection continues the series of BioMed Central special post-conference issues presenting the highlights from the set of meetings on bioinformatics and systems biology held in Novosibirsk and Moscow, Russia in 2017.http://conf.bionet.nsc.ru/belyaev100/en). This Memorial Conference included special session on medical aspects of the genomics. In 2017, “Vavilov Journal of Selection and Breeding” published a series of memoirs publications about Prof. Belyaev (http://vavilov.elpub.ru/jour/issue/view/32/showToc).Year 2017 marks the 100-th anniversary since birth of Professor Dmitry K. Belyaev (1917–1985), Full Member of the USSR Academy of Sciences, world-famous visionary in evolution and genetics. In view of this memorable date, the Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences (ICG SB RAS) held international Belyaev Conference on Genetics  and “High throughput sequencing in genomics” (NGS-2017) conferences in Novosibirsk (http://conf.nsc.ru/HSG2017/ru/hsg2017_hsg_thesis). Modern technologies in medicine more and more become interconnected with advances in sequencing in fundamental evolutionary studies. Previously published special issues of BMC Evolutionary Biology and BMC Genomics covered the proceedings of BGRS\SB-2016 conference and SBB-2015 School in Novosibirsk [https://bmcgenomics.biomedcentral.com/articles/supplements/volume-15-supplement-12). The materials on evolutionary biology and genetics were recently published in BMC Evol Biol  and BMC Genetics Supplements , correspondingly [Thematic issue of osibirsk  as well This issue collected works on sequencing, genotyping, computational analysis and gene network reconstruction in human diseases.Anastasiya Snezhkina et al.  describeThe work by Maxim Ivanov and colleagues  discusseYu-Feng Huang et al.  continueUlyana Boyarskikh and colleagues  present Olga Saik et al.  showed tGalatenko and colleagues  identifiAbeer Fadda et al.  discuss ASPM gene. The work represents an additional support for the clinical continuum between Seckel Syndrome and primary microcephaly.Andrey Marakhonov et al.  describeBMC Evolutionary Biology , BMC Plant Biology , BMC Genetics  (published at the end of 2017), BMC Genomics , BMC Structural Biology  and BMC Neuroscience  . The Proceedings of the conference are available at http://conf.bionet.nsc.ru/belyaev100/enhttp://conf.bionet.nsc.ru/belyaev100/wp-content/uploads/sites/14/2017/01/BELYAEV_conf_2_08_2017.pdf.Follow-on series of related works in the areas of genomics, genetics, and plant biology discussed at “Belyaev conference – 2017” and other related meetings in Novosibirsk are published in the Special Issues of http://conf.bionet.nsc.ru/bgrssb2018/en).The readers are welcome to visit Novosibirsk at the time of next XI-th BGRS\SB-2018 conference on August 20-28th in 2018 (


In the Funding section, a grant number from the funder National Science Centre, NCN Poland, UMO is listed incorrectly. The correct grant number is: 2015/17/D/NZ8/00782. The correct Funding statement is: This work was supported by the National Science Centre, NCN Poland, UMO-2016/21/B/NZ8/01542 to EG and 2015/17/D/NZ8/00782. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


International Journal of Environmental Research and Public Health [http://www.mdpi.com/1660-4601/11/9/9897.The authors wish to update the Acknowledgments Section in their paper published in the c Health , doi:10.


Rahman RA. It should be Abdel Rahman R. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way.In the original article, the name of one of the authors was incorrectly spelled in the citation section  as Citation: Aristei S, Zwitserlood P and Rahman RA (2012) Picture-induced semantic interference reflects lexical competition during object naming. Front. Psychology3:28. doi: 10.3389/fpsyg.2012.00028This article was submitted to Frontiers in Language Sciences, a specialty of Frontiers in Psychology.Copyright© 2012 Aristei, Zwitserlood and Rahman.Citation: Aristei S, Zwitserlood P and Abdel Rahman R (2012) Picture-induced semantic interference reflects lexical competition during object naming. Front. Psychology3:28. doi: 10.3389/fpsyg.2012.00028This article was submitted to Frontiers in Language Sciences, a specialty of Frontiers in Psychology.Copyright © 2012 Aristei, Zwitserlood and Abdel Rahman.The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.


In the article titled “Prenatal Diagnosis of Cardiac Diverticulum with Pericardial Effusion in the First Trimester of Pregnancy with Resolution after Early Pericardiocentesis” , there wThe errors in the in-text citations of references in the Discussion should be corrected as follows:The original text: Ultrasonographic findings associated with diverticula include pericardial effusion, cardiomegaly, septal defects and arrhythmia with fetal death before delivery, and hydrops .The corrected text: Ultrasonographic findings associated with diverticula include pericardial effusion, cardiomegaly, septal defects and arrhythmia with fetal death before delivery, and hydrops .The original text: Thus, the observation of pericardial effusion makes it necessary to examine the cardiac function .The corrected text: Thus, the observation of pericardial effusion makes it necessary to examine the cardiac function .The original text: Five of them showed spontaneous resolution (71%) and 2 resulted in intrauterine death (29%): one of them, which occurred on week 26, was associated with trisomy 18 and the other, which occurred on week 29, was associated with treated twin-to-twin transfusion syndrome and death of one of the twins after treatment .The corrected text: Five of them showed spontaneous resolution (71%) and 2 resulted in intrauterine death (29%): one of them, which occurred in week 26, was associated with trisomy 18 and the other, which occurred in week 29, was associated with treated twin-to-twin transfusion syndrome and death of one of the twins after treatment .The original text: The prognosis of this entity is generally good, although the outcome largely depends on the size and location of associated anomalies. Cases of rupture, both pre- and postnatal, arrhythmia, fetal death, heart failure, and coronary insufficiency have been described . In these patients, serial control examinations are necessary to detect possible complications. In general, postnatal progression is good and surgery is not necessary in asymptomatic cases [19].The corrected text: The prognosis of this entity is generally good, although the outcome largely depends on the size and location of associated anomalies. Cases of rupture, both pre- and postnatal, arrhythmia, fetal death, heart failure, and coronary insufficiency have been described . In these patients, serial control examinations are necessary to detect possible complications. In general, postnatal progression is good and surgery is not necessary in asymptomatic cases [18].  Row 25: Williams et al. (2009) [3] should be Abi-Nader et al. (2009) [2].  Rows 29, 30, and 31: Abi-Nader et al. (2009) [2] should be Williams et al. (2009) [3].  Row 32: Williams et al. (2009) [3] should be Paoletti et al. (2012) [20].  Row 33: Paoletti and Robertson (2012) [20] should be Nam et al. (2010) [21].  Row 34: Nam et al. (2010) [21] should be Olorón et al. (2011) [22].Errors in   Rows 4 and 11: Cavallé-Garrido et al.: the reference in the bibliography is [6].  Row 7: McAuliffe et al. [27] should be Del Río et al. [18].  Row 8: Pradhan et al. [28] should be Davidson et al. [15].  Row 9: McAuliffe et al. [27] should be Koshiishi et al. [17].  Row 10: Perlitz et al. [30] should be Menahem [31].  Row 12: Carles et al. [24] should be Johnson et al. [16].  Row 13: Cesko et al. [25] should be Bernasconi et al. [26].  Rows 14 and 15: Brachlow et al. [23] should be McAuliffe et al. [27].  Row 19: Williams et al. [3] should be Abi-Nader et al. [2].  Row 21: Abi-Nader et al. [2] should be Williams et al. [3].Errors in The corrected tables are shown in Tables