AI can refer to either machine learning or deep learning 1 The potential for AI and machine learning to improve the management of skin diseases is immense Artificial intelligence (AI) can be defined simply as the ability of computers to simulate intelligent human behaviour [Extracted from the article] Copyright of British Journal of Dermatology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission However, users may print, download, or email articles for individual use This abstract may be abridged No warranty is given about the accuracy of the copy Users should refer to the original published version of the material for the full abstract (Copyright applies to all Abstracts )

BACKGROUND: Match analysis has evolved exponentially over the past decades in team sports resulting in a significant number of published systematic reviews and meta-analyses. An umbrella review of the available literature is needed to provide an integrated overview of current knowledge and contribute to more robust theoretical explanations of team performance. METHODS: The Web of Science (all databases), PubMed, Cochrane Library (Cochrane Database of Systematic Reviews), Scopus, and SPORTDiscus databases were searched for relevant publications prior to 19 February 2021. Appraisal of the methodological quality of included articles was undertaken using the tool for Assessing the Methodological Quality of Systematic Reviews (AMSTAR-2). Twenty-four studies were reviewed that met the following criteria: (1) contained relevant data from match analyses in team ball sports; (2) were defined as systematic reviews or/and meta-analyses; and (3) were written in the English language. RESULTS: The overall methodological quality of the 24 included reviews, obtained through the AMSTAR-2, revealed very low confidence ratings (Critically Low, n = 12) for the results of most systematic reviews of match analyses in team ball sports. Additionally, the results showed that research is focused mainly on four levels of analysis: (1) dyadic (microlevel); (2) individual (molecular level; predominant); (3) group (mesolevel), and (4) team dynamics (macrolevel). These levels of analysis included tactical, technical, physical, and psychosocial variables. Team performance was contextualized at two levels, with reference to: (1) match context (e.g. match status, match location, match period, quality of opposition) and (2) sociodemographic and environmental constraints (sex, age groups, competitive level, altitude, temperature, pitch surface). CONCLUSIONS: The evolution of methods for match analysis in team ball sports indicates that: (1) an individual-level performance analysis was predominant; (2) the focus on intermediate levels of analysis, observing performance in dyadic and group interactions, has received less attention from researchers; (3) neglected areas of research include psychosocial aspects of team sports and womens performance; and (4) analyses of match contexts need greater depth. Registration: The protocol was registered in the International Platform of Registered Systematic Review and Meta-Analysis Protocols with the number 202080067 and the DOI number https://doi.org/10.37766/inplasy2020.8.0067. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40798-022-00454-7.

AIMS: Coronavirus disease 19 (COVID-19) pandemic has dramatically changed the management and the prognosis of patients experiencing acute coronary syndrome (ACS). Several scientific societies have highlighted the need for dedicated paths to deliver better and faster care to improve outcomes. Nevertheless, data depicting the impact of COVID-19 pandemic on ACS in Italy are still poor. To perform a propensity weighted analysis on a multicentre Italian registry involving patients with ACS managed before vs. during COVID-19 pandemic, taking into account baseline patients characteristics, clinical presentation, procedural aspects, and in-hospital outcomes (death, bleeding, stent thrombosis, myocardial infarction, stroke/transient ischaemic attack, mechanical complication, and arrhythmic complication). METHODS AND RESULTS: We included all consecutive patients who have suffered from ACS during two periods before (March/April 2018, March/April 2019) vs. the period of COVID-19 pandemic (March/April 2020). A generalized boosted non-parsimonious regression was used to estimate the propensity scores of having an ACS in 2020 (year of COVID-19) vs. 2018/2019 using an average treatment effect and balancing for all baseline confounders. We included 2851 patients admitted to hospital with ACS in 17 Italian centres: 1079 (37.8%) during 2018, 1056 (37.0%) in 2019, and 716 (25.1%) during the first COVID-19 wave of 2020. Seventy (2.5%) patients had a positive swab for SARS-CoV-2 at admission. During 2020 there were higher time-to-emergency-call (P = 0.028) and less diagnosis of unstable angina (P = 0.029) and MINOCA (P = 0.004); none of the admission symptoms differ significantly across the years (P > 0.05) except for fever that was more prevalent in 2020 (P < 0.001). Patients suffering from ACS had lower admission EF (P = 0.006). After PS weighting, multivariate Cox regression analysis showed age (P < 0.001), night admission (P = 0.017), cardiocirculatory arrest before cath-lab (P = 0.041), worst Killip class (P = 0.039), admission EF (P = 0.026), and need for left-ventricle mechanical support (P = 0.011) as independent predictors of in-hospital death. After propensity weighted analysis none of the in-hospital outcomes differed significantly across the years of investigation (all P > 0.05). CONCLUSIONS: During COVID-19 pandemic in Italy the characteristics and management of ACS was slightly different than the past. However, the rates of hard, in-hospital outcomes (e.g. deaths) are almost similar to the past, suggesting appropriate care and well-organized emergency-paths for ACS.

The intensity of Coronavirus Disease 2019 (COVID-19) pandemic is a horrible ongoing human disaster with high morbidity and mortality rates. Current epidemiological studies urge the need of implementing sophisticated methods to appraise the evolution of COVID-19. In the study we estimated 228 days of daily incidence of COVID-19 cases i.e. from 1 st May to 15 th December 2020- a district level analysis in the northern Himalayan belt of India. To determine the current & future trends of COVID-19 transmission, we used Deep Learning Model (DLM) with 60 days forecasting. The estimated values from deep learning not only indicated high cases of morbidity and mortality but forecasted high rise in the incidence of COVID-19 cases in different districts of the study region. Storing, analyzing, and presenting incidence of COVID-19 cases in Geographic Information System (GIS) will attribute in understanding, planning & implementing mitigating measures to tackle the current & future variant behavioral changes adopting COVID-19 virus. The remedial first-aid measures such as physical & social distance, use of masks, maintaining personal hygiene, recommended vaccinations & other Standard Operating Procedure (SOP) framed by World health organization (WHO) must be adhered till complete obliteration of COVID-19 virus.

African swine fever (ASF) is an emerging disease currently spreading at the interface between wild boar and pig farms in Europe and Asia. Current disease control regulations, which involve massive culling with significant economic and animal welfare costs, need to be improved. Modelling enables relevant control measures to be explored, but conducting the exercise during an epidemic is extremely difficult. Modelling challenges enhance modellers ability to provide timely advice to policy makers, improve their readiness when facing emerging threats, and promote international collaborations. The ASF-Challenge, which ran between August 2020 and January 2021, was the first modelling challenge in animal health. In this paper, we describe the objectives and rules of the challenge. We then demonstrate the mechanistic multi-host model that was used to mimic as accurately as possible an ASF-like epidemic, provide a detailed explanation of the surveillance and intervention strategies that generated the synthetic data, and describe the different management strategies that were assessed by the competing modelling teams. We then outline the different technical steps of the challenge as well as its environment. Finally, we synthesize the lessons we learnt along the way to guide future modelling challenges in animal health. Highlights The 1st modelling challenge in animal health mimics ASF spread with synthetic data A mechanistic spatially explicit stochastic model was developed to represent ASF spread and control Synthetic data concerned date and location of detected cases in pigs and wild boar The wildlife-livestock interface is crucial in infectious animal disease spread

Eating disorders (EDs), including anorexia nervosa, bulimia nervosa, binge-eating disorder and other less frequent syndromes [...].

How have welfare states responded to the coronavirus pandemic? In this introductory article, we provide a synopsis of papers that comprise this special issue on social policy responses to COVID\19, an overview of some of the key questions they raise, and some provisional answers to these questions. Our conclusions are threefold: first, these social policy responses, while entailing new developments in many countries, nonetheless reflect, at least in part, existing national policy legacies. Second, these responses can be understood as a form of emergency Keynesianism, which is characterized by the massive use of deficit spending during economic crises, with the aim of to supporting rather than challenging core capitalist institutions. Third, there are clear differences in terms of the nature of the reforms enacted during the initial phase of the COVID\19 crisis as compared to reforms enacted as a response to the 2008 financial crisis.

PURPOSE Unambiguous evaluation of glioblastoma (GB) progression is crucial, both for clinical trials as well as day by day routine management of GB patients. 3D-volumetry in the follow-up of GB provides quantitative data on tumor extent and growth, and therefore has the potential to facilitate objective disease assessment. The present study investigated the utility of absolute changes in volume (delta) or regional, segmentation-based subtractions for detecting disease progression in longitudinal MRI follow-ups. METHODS 165 high resolution 3-Tesla MRIs of 30 GB patients (23m, mean age 60.2y) were retrospectively included in this single center study. Contrast enhancement (CV) and tumor-related signal alterations in FLAIR images (FV) were semi-automatically segmented. Delta volume (dCV, dFV) and regional subtractions (sCV, sFV) were calculated. Disease progression was classified for every follow-up according to histopathologic results, decisions of the local multidisciplinary CNS tumor board and a consensus rating of the neuro-radiologic report. RESULTS A generalized logistic mixed model for disease progression (yes / no) with dCV, dFV, sCV and sFV as input variables revealed that only dCV was significantly associated with prediction of disease progression (P = .005). Delta volume had a better accuracy than regional, segmentation-based subtractions (79% versus 72%) and a higher area under the curve by trend in ROC curves (.83 versus .75). CONCLUSION Absolute volume changes of the contrast enhancing tumor part were the most accurate volumetric determinant to detect progressive disease in assessment of GB and outweighed FLAIR changes as well as regional, segmentation-based image subtractions. This parameter might be useful in upcoming objective response criteria for glioblastoma.

BACKGROUND The evolution of the pandemic is putting national healthcare systems to a huge effort worldwide and at present, there is no preferred antiviral treatment for COVID-19. Recently, SARS-Cov-2 protease structure was released and may be exploited in in-silico studies in order to conduct molecular docking analysis. METHODS In particular, we compared the binding of two used antimalarial drugs (i.e. chloroquine and hydroxychloroquine) which showed some potential clinical effects in COVID-19 patients, using as positive control tree antiviral recognized compounds, ritonavir, lopinavir and darunavir. RESULTS Our results showed that hydroxychloroquine but not chloroquine exhibited a significant binding activity to the main protease similar to that possessed by protease inhibitors tested for other viral infections. CONCLUSION Our data suggest that hydroxychloroquine may exert additional direct antiviral activity compared to chloroquine. In the absence of clinical studies comparing the efficacy of these two compounds, hydroxychloroquine may offer additional effects and may be considered as first choice.

This article is a collective response to the 2020 iteration of The Manifesto for Teaching Online. Originally published in 2011 as 20 simple but provocative statements, the aim was, and continues to be, to critically challenge the normalization of education as techno-corporate enterprise and the failure to properly account for digital methods in teaching in Higher Education. The 2020 Manifesto continues in the same critically provocative fashion, and, as the response collected here demonstrates, its publication could not be timelier. Though the Manifesto was written before the Covid-19 pandemic, many of the responses gathered here inevitably reflect on the experiences of moving to digital, distant, online teaching under unprecedented conditions. As these contributions reveal, the challenges were many and varied, ranging from the positive, breakthrough opportunities that digital learning offered to many students, including the disabled, to the problematic, such as poor digital networks and access, and simple digital poverty. Regardless of the nature of each response, taken together, what they show is that The Manifesto for Teaching Online offers welcome insights into and practical advice on how to teach online, and creatively confront the supremacy of face-to-face teaching.

BACKGROUND: COVID-19 pandemic has strained human and material resources around the world. Practices in surgical oncology had to change in response to these resource limitations, triaging based on acuity, expected oncologic outcomes, availability of supportive resources, and safety of health care personnel. METHODS: The MD Anderson Head and Neck Surgery Treatment Guidelines Consortium devised the following to provide guidance on triaging head and neck cancer (HNC) surgeries based on multidisciplinary consensus. HNC subsites considered included aerodigestive tract mucosa, sinonasal, salivary, endocrine, cutaneous, and ocular. RECOMMENDATIONS: Each subsite is presented separately with disease-specific recommendations. Options for alternative treatment modalities are provided if surgical treatment needs to be deferred. CONCLUSION: These guidelines are intended to help clinicians caring for patients with HNC appropriately allocate resources during a health care crisis, such as the COVID-19 pandemic. We continue to advocate for individual consideration of cases in a multidisciplinary fashion based on individual patient circumstances and resource availability.

Aims Currently, both government and military hospitals in Iran are attempting to minimize the deterioration of COVID-19 patients. This study aimed to investigate the factors that led to the hospital admission of COVID-19 patients in the intensive care unit of selected Iranian Navy military hospitals. Instrument & Methods In this descriptive study, 367 COVID-19 patients were examined in two hospitals in Tehran and Rasht from March to May 2020. The researchers developed a checklist to collect data from variables related to COVID-19 patient ICU admission. Data were analyzed using the Chi-square, t-test, and logistic regression by SPSS 23. Findings This analysis included 121 women (33%) and 246 males (67%). The findings revealed that age, cough, diastolic blood pressure, and blood oxygen percentage of COVID-19 patients were associated with ICU hospitalization and that age and cough were used as predictors of ICU hospitalization. Conclusion The findings suggest that age may affect COVID-19 disease. Cough, hypoxia, and diastolic blood pressure appear to be clinical signs that will affect hospitalization in the intensive care unit and should be evaluated with good effort and frequency in patients with COVID-19. Copyright ? 2021, the Authors.

STUDY DESIGN: Literature Review INTRODUCTION: Computer use in the workplace has increased substantially since the start of the information age in the mid-1980s through 2020. Desktops, laptops, and tablets are essential tools for communication and project management. As a result of the COVID-19 pandemic, many workers have transitioned to work from home (WFH) to sustain public health emergency guidelines, and it is anticipated that many WFH jobs will be maintained post-pandemic. The transition to WFH occurred rapidly without time to establish ideal workstations. Ergonomic assessments that were typically performed in person needed to be performed using virtual technology. PURPOSE OF THE STUDY: The purpose of this review is (1) to describe the components of a computer workstation evaluation; (2) to offer suggestions for identifying computer workstation problems that may be contributing to the client's musculoskeletal (MSK) pain and symptoms; (3) to provide suggestions that may improve the safety and comfort at the computer workstation, and (4) to suggest a method of completing the workstation analysis virtually, without onsite in-person evaluation. METHODS AND RESULTS: There is a paucity of peer-reviewed literature regarding computer workstation evaluations to be performed in person, let alone using a virtual method. The components of computer workstation evaluations have been recommended by regulatory agencies that survey injuries in the workplace. Prior to 2020, these evaluations were done in person at the office workstation. Modifications in data collection were needed to transition the analysis to a reliable virtual format. The remote method described provides a consistent approach that engages the client in the process.

BACKGROUND: The first case of SARS-CoV-2 was detected in France in January 2020 and the government decided on national confinement from March 17 to May 11, 2020. Our aim was to analyze the incidence of pediatric emergency department (ED) visits and hospitalizations for traumatic injuries during this period. METHODS: Any visit with an ICD-10 discharge diagnosis code of burn, fracture, traumatic wound, or sprain/bruise contusion was recorded within the 2 weeks before (weeks 10 and 11) and during the confinement (weeks 12 and 19). The visits with the same ICD-10 discharge diagnosis code during similar weeks of the previous 2 years were also included. For each of those visits, the number of hospitalizations was counted. RESULTS: The number of recorded visits between week 10 and 19 in 2018, 2019, and 2020 was, respectively, 2657, 2625, and 1106 children. The average number of visits per day during the confinement (135) was significantly different from the average number of visits per day during the same weeks in 2018 and 2019 (388 vs. 399, P<0.0001). The average number of visits per day was significantly lower during confinement compared with 2018/2019 for three categories of diagnoses (P<0.0001) but not for burns (1.7 vs. 1.8, P=0.23). The average number of hospitalizations per day was significantly lower during the confinement than during 2018/2019 (1.61.3 vs. 2.61.8, P<0.0001). CONCLUSION: Confining children in an urban setting appears to decrease the incidence of injuries, except for burns. These data may be useful in reorganizing caregiver supervision and hospital units. These results will need to be consolidated in a multicenter study.

The current coronavirus disease-2019 (COVID-19) pandemic constitutes a significant public health problem worldwide, as well as mental health problems. This study aimed to evaluate the mental health of COVID-19 survivors, considering their sociodemographic, clinical, and immune variables. A cross-sectional and correlational study was conducted on 318 COVID-19 survivors from one hospital in Peru. Through telephone interviews, evaluation of the presence of depressive symptoms using the Patient Health Questionnaire-9, anxiety symptoms through the Generalized Anxiety Disorder-7, somatic symptoms through Patient Health Questionnaire-15, and posttraumatic stress disorder (PTSD) symptoms through Impact of Event Scale-Revised was carried out. Poisson regression analyses were performed with their adjusted variances to calculate the prevalence ratio (PR) with their 95% confidence interval. All regression models were adjusted (PRa) for follow-up time. A significant proportion of patients have depressive (30.9%), anxious (31.1%), somatic (35.2%), and PTSD (29.5%) symptoms. The variables associated with a higher frequency of clinically relevant mental symptoms were female sex, self-perception of greater COVID-19 severity, presence of persistent COVID-19 symptoms, loss of a family member due to COVID-19, and prior psychiatric diagnosis or treatment. In addition, the neutrophil-to-lymphocyte ratio was significantly higher in patients with clinically relevant symptoms of depression. COVID-19 survivors showed a high prevalence of negative mental symptoms. Our findings help to identify patients who are vulnerable and require psychiatric care.

Background: The objectives of this study were to investigate risk perceptions and travel intention among the general public in Taiwan during the COVID-19 outbreak. Methods: This study used a cross-sectional online survey to collect data. The questionnaire was disseminated via the social media platform (LINE and Facebook) to the general public. Results: A total of 3,237 complete responses were received, of whom 5.8% (95% CI 5.1C6.7) of the participants reported intent to travel to overseas countries with an apparent community spread and 5.5% (95% CI 4.7C6.3) reported intent to travel to other overseas countries in the next 1 month. A relatively higher proportion (46.5%; 95% CI 44.7C48.2) reported intention for domestic travelling. Participants who viewed travelling to only be risky for older adults or those with medical conditions (OR = 2.19; 95% CI 1.38C3.47) and who perceived that one will not get infected if one takes recommended precautionary measures (OR = 3.12; 95% CI 1.85C5.27) reported higher travelling intention to overseas countries with an apparent community spread. Conclusions: Overall, the findings suggest that risk perceptions were depicted as a strong influence of travel intentions.

Post-translational modifications (PTM) of proteins are crucial for fine-tuning a cells response to both intracellular and extracellular cues. ADP-ribosylation is a PTM, which occurs in two flavours: modification of a target with multiple ADP-ribose moieties (poly(ADP-ribosyl)ation or PARylation) or with only one unit (MARylation), which are added by the different enzymes of the PARP family (also known as the ARTD family). PARylation has been relatively well-studied, particularly in the DNA damage response. This has resulted in the development of PARP inhibitors such as olaparib, which are increasingly employed in cancer chemotherapeutic approaches. Despite the fact that the majority of PARP enzymes catalyse MARylation, MARylation is not as well understood as PARylation. MARylation is a dynamic process: the enzymes reversing intracellular MARylation of acidic amino acids (MACROD1, MACROD2, and TARG1) were discovered in 2013. Since then, however, little information has been published about their physiological function. MACROD1, MACROD2, and TARG1 have a macrodomain harbouring the catalytic site, but no other domains have been identified. Despite the lack of information regarding their cellular roles, there are a number of studies linking them to cancer. However, some of these publications oppose each other, some rely on poorly-characterised antibodies, or on aberrant localisation of overexpressed rather than native protein. In this review, we critically assess the available literature on a role for the hydrolases in cancer and find that, currently, there is limited evidence for a role for MACROD1, MACROD2, or TARG1 in tumorigenesis.

Across two studies with over 1,600 U.S. adults recruited online, we present evidence that people share false claims about COVID-19 partly because they simply fail to think sufficiently about whether or not content is accurate when deciding what to share. In Study 1, participants were far worse at discerning between true and false content when deciding what they would share on social media relative to when they are asked directly about accuracy. Furthermore, cognitive reflection and science knowledge were associated with stronger discernment. In Study 2, we found that a simple accuracy reminder at the beginning of the study C i.e., judging the accuracy of a non-COVID-19-related headline C more than doubled the level of truth discernment in participants sharing intentions. Our results, which mirror those found previously for political fake news, suggest that nudging people to think about accuracy is a simple way to improve choices about what to share on social media.

Mechanical ventilation may have adverse effects on both the lung and the diaphragm. Injury to the lung is mediated by excessive mechanical stress and strain, whereas the diaphragm develops atrophy as a consequence of low respiratory effort and injury in case of excessive effort. The lung and diaphragm-protective mechanical ventilation approach aims to protect both organs simultaneously whenever possible. This review summarizes practical strategies for achieving lung and diaphragm-protective targets at the bedside, focusing on inspiratory and expiratory ventilator settings, monitoring of inspiratory effort or respiratory drive, management of dyssynchrony, and sedation considerations. A number of potential future adjunctive strategies including extracorporeal CO(2) removal, partial neuromuscular blockade, and neuromuscular stimulation are also discussed. While clinical trials to confirm the benefit of these approaches are awaited, clinicians should become familiar with assessing and managing patients respiratory effort, based on existing physiological principles. To protect the lung and the diaphragm, ventilation and sedation might be applied to avoid excessively weak or very strong respiratory efforts and patient-ventilator dysynchrony.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the current COVID-19 pandemic. The 3' untranslated region (UTR) of this ?-CoV contains essential cis-acting RNA elements for the viral genome transcription and replication. These elements include an equilibrium between an extended bulged stem-loop (BSL) and a pseudoknot. The existence of such an equilibrium is supported by reverse genetic studies and phylogenetic covariation analysis and is further proposed as a molecular switch essential for the control of the viral RNA polymerase binding. Here, we report the SARS-CoV-2 3' UTR structures in cells that transcribe the viral UTRs harbored in a minigene plasmid and isolated infectious virions using a chemical probing technique, namely dimethyl sulfate (DMS)-mutational profiling with sequencing (MaPseq). Interestingly, the putative pseudoknotted conformation was not observed, indicating that its abundance in our systems is low in the absence of the viral nonstructural proteins (nsps). Similarly, our results also suggest that another functional cis-acting element, the three-helix junction, cannot stably form. The overall architectures of the viral 3' UTRs in the infectious virions and the minigene-transfected cells are almost identical.