Miracle-dz/UniFAR-FTUs huggingface dataset:
“Acute kidney injury in critically ill patients with COVID–19: The AKICOV multicenter study in Catalonia”

This study describes the incidence, evolution and prognosis of acute kidney injury (AKI) in critical COVID-19 during the first pandemic wave. We performed a prospective, observational, multicenter study of confirmed COVID-19 patients admitted to 19 intensive care units (ICUs) in Catalonia (Spain). Data regarding demographics, comorbidities, drug and medical treatment, physiological and laboratory results, AKI development, need for renal replacement therapy (RRT) and clinical outcomes were collected. Descriptive statistics and logistic regression analysis for AKI development and mortality were used. A total of 1,642 patients were enrolled (mean age 63 (15.95) years, 67.5% male). Mechanical ventilation (MV) was required for 80.8% and 64.4% of these patients, who were in prone position, while 67.7% received vasopressors. AKI at ICU admission was 28.4% and increased to 40.1% during ICU stay. A total of 172 (10.9%) patients required RRT, which represents 27.8% of the patients who developed AKI. AKI was more frequent in severe acute respiratory distress syndrome (ARDS) ARDS patients (68% vs 53.6%, p<0.001) and in MV patients (91.9% vs 77.7%, p<0.001), who required the prone position more frequently (74.8 vs 61%, p<0.001) and developed more infections. ICU and hospital mortality were increased in AKI patients (48.2% vs 17.7% and 51.1% vs 19%, p <0.001) respectively). AKI was an independent factor associated with mortality (IC 1.587–3.190). Mortality was higher in AKI patients who required RRT (55.8% vs 48.2%, p <0.04). Conclusions There is a high incidence of AKI in critically ill patients with COVID-19 disease and it is associated with higher mortality, increased organ failure, nosocomial infections and prolonged ICU stay.
A Systematic Review of Criminal Justice Initiatives to Strengthen the Criminal Investigation and Prosecution of Sexual Violence in East Africa

Sexual violence (SV) is a widespread public health and human rights problem, with countries in East Africa having higher rates than the global average. Prosecutions of SV in East Africa are rare, and survivors face many challenges accessing medico-legal justice and services. Developing initiatives that support survivors in navigating the criminal justice system is vital, yet there is limited research on efforts to improve the criminal justice system’s management and treatment of survivors. We conducted a scoping review of research on initiatives to strengthen responses toward investigating and prosecuting cases. We identified 25 academic articles and reports through a search of electronic databases and gray literature that address these initiatives in East Africa. The results reveal that seven types of initiatives have been studied: one-stop centers (OSCs), multisectoral referral networks, gender desks, community interventions, mobile applications, and specialized police and prosecution units. Upon review, we found that barriers to success include a lack of resources and facilities, a lack of trained health care, police, and judicial personnel to perform services, weak medico-legal partnerships, and stigma and impunity restricting the uptake and fair distribution of services. Overall, limited systematic evidence on the effectiveness and adaptability of initiatives exists, showing that SV interventions in East Africa remain an under-researched and under-resourced area, and need greater scientific rigor to inform practice and coordinated advocacy. This review is a call to action for policy makers and service providers working in East Africa—and for international bodies working toward achieving Sustainable Development Goals 5—to improve criminal justice initiatives.
Design and validation of a new machine-learning-based diagnostic tool for the differentiation of dermatoscopic skin cancer images

Background Skin cancer is the most common cancer in the United States. Current estimates are that one in five Americans will develop skin cancer in their lifetime. A skin cancer diagnosis is challenging for dermatologists requiring a biopsy from the lesion and histopathological examinations. In this article, we used the HAM10000 dataset to develop a web application that classifies skin cancer lesions. Method This article presents a methodological approach that utilizes dermoscopy images from the HAM10000 dataset, a collection of 10015 dermatoscopic images collected over 20 years from two different sites, to improve the diagnosis of pigmented skin lesions. The study design involves image pre-processing, which includes labelling, resizing, and data augmentation techniques to increase the instances of the dataset. Transfer learning, a machine learning technique, was used to create a model architecture that includes EfficientNET-B1, a variant of the baseline model EfficientNET-B0, with a global average pooling 2D layer and a softmax layer with 7 nodes added on top. The results of the study offer a promising method for dermatologists to improve their diagnosis of pigmented skin lesions. Results The model performs best in detecting melanocytic nevi lesions with an F1 score of 0.93. The F1 score for Actinic Keratosis, Basal Cell Carcinoma, Benign Keratosis, Dermatofibroma, Melanoma, and Vascular lesions was consecutively 0.63, 0.72, 0.70, 0.54, 0.58, and 0.80. Conclusions We classified seven distinct skin lesions in the HAM10000 dataset with an EfficientNet model reaching an accuracy of 84.3%, which provides a promising outlook for further development of more accurate models.
The impact of social media use on student engagement and acculturative stress among international students in China

Despite the widespread use of modern social media, relatively less is known about the impact of social media on the acculturation processes of international students in China and their engagement in school activities. Accordingly, this research intends to assess the influence of social media usage while answering questions such as how using social media can improve international students’ acculturation process from both psychological/mental and behavioural standpoints, as well as whether international students’ acculturation promotes students’ engagement in school activities, among other questions. The role of self-identification in mediating the connection between social media usage and international students’ acculturation is also investigated. Primary data were gathered from 354 international students studying at various universities around China. The results show that international students use of social media improves their acculturation process and engagement in school activities through information sharing, establishing contacts, and entertainment. The study’s limitations and future directions are also highlighted.
A novel heterophilic graph diffusion convolutional network for identifying cancer driver genes

Identifying cancer driver genes plays a curial role in the development of precision oncology and cancer therapeutics. Although a plethora of methods have been developed to tackle this problem, the complex cancer mechanisms and intricate interactions between genes still make the identification of cancer driver genes challenging. In this work, we propose a novel machine learning method of heterophilic graph diffusion convolutional networks (called HGDCs) to boost cancer-driver gene identification. Specifically, HGDC first introduces graph diffusion to generate an auxiliary network for capturing the structurally similar nodes in a biomolecular network. Then, HGDC designs an improved message aggregation and propagation scheme to adapt to the heterophilic setting of biomolecular networks, alleviating the problem of driver gene features being smoothed by its neighboring dissimilar genes. Finally, HGDC uses a layer-wise attention classifier to predict the probability of one gene being a cancer driver gene. In the comparison experiments with other existing state-of-the-art methods, our HGDC achieves outstanding performance in identifying cancer driver genes. The experimental results demonstrate that HGDC not only effectively identifies well-known driver genes on different networks but also novel candidate cancer genes. Moreover, HGDC can effectively prioritize cancer driver genes for individual patients. Particularly, HGDC can identify patient-specific additional driver genes, which work together with the well-known driver genes to cooperatively promote tumorigenesis.
Improving extended Kalman filter algorithm in satellite autonomous navigation

With the goal of reducing dependence on ground tracking systems, satellite autonomous navigation technologies are developed quickly in the recent several decades. However, precise orbit determination at high orbital altitudes is an important and challenging problem. In this paper, the nonlinear real-time orbit determination problem is investigated. Combined with satellite dynamical model, extended Kalman filter is explored to estimate satellite orbit parameters. Further, considering errors occur in linearization processing, two improvements for the extended Kalman filter algorithm, i.e. extended Kalman filter-I and extended Kalman filter-II, are proposed based on Lagrange’s mean value theorem, and respectively focus on choosing better linear expansion point and Jacobian matrix calculation point. Extensive simulations show that extended Kalman filter-I and extended Kalman filter-II significantly enhance orbit accuracy, compared with extended Kalman filter. And the increases in calculation complexity are acceptable. Finally, the robustness of extended Kalman filter-I and extended Kalman filter-II is analyzed by given different initial position errors, and results show that extended Kalman filter-I and extended Kalman filter-II have better robustness than extended Kalman filter.
Adolescent pregnancy in Mongolia: Evidence from Mongolia Social Indicator Sample Survey 2013–2018

Introduction Adolescent pregnancy is a major public health and social concern which pose enormous pregnancy and delivery-related risks for both the mother and their neonate. This study aims to estimate adolescent pregnancy and determine the factors associated with adolescent pregnancy in Mongolia. Methods This study pooled data from 2013 and 2018 Mongolia, Social Indicator Sample Surveys (MSISS). A total of 2808 adolescent girls aged 15–19 years with socio-demographic information were included in this study. Adolescent pregnancy is defined as pregnancy in a female 19 years of age or younger. Multivariable logistic regression analysis was performed to determine factors associated with adolescent pregnancy in Mongolia. Results Adolescent pregnancy was estimated at 57.62 [95% Confidence Interval (CI): 44.41, 70.84] per 1000 adolescent girls aged 15–19 years. Multivariable analyses reported higher adolescent pregnancy in the countryside [Adjusted Odds Ratios (AOR) = 2.07 (95%CI: 1.08, 3.96)], with increasing age [AOR = 11.50 (95%CI: 6.64, 19.92)], among adolescent girls who used contraception methods [AOR = 10.80 (95%CI: 6.34, 18.40)], among adolescent girls from the poorest households [AOR = 3.32 (95%CI: 1.39, 7.93)], and among adolescent girls who drank alcohol [AOR = 2.10 (95%CI: 1.22, 3.62)]. Discussion Identifying the factors associated with adolescent pregnancy is crucial in reducing adolescent pregnancy and improving the sexual and reproductive health as well as the social and economic well-being of adolescents thus setting Mongolia on the path to achieving the Sustainable Development Goals (SDGs) 3 by 2030.
Closed-Loop Control of a Multifunctional Myoelectric Prosthesis With Full-State Anatomically Congruent Electrotactile Feedback

State-of-the-art myoelectric hand prostheses provide multi-functional control but lack somatosensory feedback. To accommodate the full functionality of a dexterous prosthesis, the artificial sensory feedback needs to convey several degrees of freedom (DoF) simultaneously. However, this is a challenge with current methods as they are characterized by a low information bandwidth. In this study, we leverage the flexibility of a recently developed system for simultaneous electrotactile stimulation and electromyography (EMG) recording to present the first solution for closed-loop myoelectric control of a multifunctional prosthesis with full-state anatomically congruent electrotactile feedback. The novel feedback scheme (coupled encoding) conveyed proprioceptive (hand aperture, wrist rotation) and exteroceptive information (grasping force). The coupled encoding was compared to the conventional approach (sectorized encoding) and incidental feedback in 10 non-disabled and one amputee participant who used the system to perform a functional task. The results showed that both feedback approaches increased the accuracy of position control compared to incidental feedback. However, the feedback increased completion time, and it did not significantly improve grasping force control. Importantly, the performance of the coupled feedback was not significantly different compared to the conventional scheme, despite the latter being easier to learn during training. Overall, the results indicate that the developed feedback can improve prosthesis control across multiple DoFs but they also highlight the subjects’ ability to exploit minimal incidental information. Importantly, the current setup is the first to convey three feedback variables simultaneously using electrotactile stimulation while providing multi-DoF myoelectric control with all hardware components mounted on the same forearm.
Characterizing the impact of multiple chronic conditions on return to participation in chronic stroke survivors

ABSTRACT Background Each year, 795,000 Americans experience a stroke. As stroke mortality declines, more individuals are in the chronic phase of recovery (>6 months post-stroke). Over 80% of stroke survivors have multiple, chronic health conditions (MCC). While the relationship between MCC and mortality and function during acute recovery has been explored, less is known about how MCC burden affects participation in chronic stroke survivors. Objective This study investigated whether MCC burden is related to participation in those with chronic stroke. Methods Two hundred and sixty-six participants with chronic (≥6 months) stroke were included in this cross-sectional and retrospective analysis. Participants had a mean age of 62.2 ± 12.8 years, and time since stroke (TSS) of 36.0 ± 44.6 months (114F/152 M). Participants completed the 6-minute Walk Test (6MWT), Activities-Specific Balance Confidence Scale (ABC), Modified Cumulative Illness Rating Scale (MCIR) to quantify the presence and severity of chronic illness across 14 body systems, and the Stroke Impact Scale – Participation subscale (SIS-P). Participation (SIS-P) was the dependent variable. Independent variables were entered into a sequential regression model in three blocks: demographic variables, physical capacity (6MWT distance) and balance self-efficacy (ABC), and MCC burden (MCIR). Results After adjusting for age, sex, and time since stroke, physical capacity and balance self-efficacy explained 31.4% (p < 0.001), and the MCC burden explained 2.0% (p = 0.004). Higher participation was related to lower MCC burden. Conclusions MCC burden is a significant contributor to variance in participation in chronic stroke survivors, above and beyond demographics, physical capacity, and self-efficacy, and therefore should be considered when creating rehabilitation programs to improve participation.
Utilization of Treat-to-Target Monitoring Colonoscopy After Treatment Initiation in the US-Based Study of a Prospective Adult Research Cohort With Inflammatory Bowel Disease

INTRODUCTION: Endoscopic healing has been associated with improved long-term clinical outcomes in inflammatory bowel disease (IBD) and is a recommended target for treatment. Evidence is limited regarding real-world uptake and patterns of treat-to-target monitoring to assess endoscopic healing after treatment initiation. We aimed to estimate the proportion of patients in the Study of a Prospective Adult Research Cohort with IBD (SPARC IBD) who received colonoscopy in the 3–15 months after starting a new IBD treatment. METHODS: We identified SPARC IBD patients who initiated a new biologic (infliximab, adalimumab, certolizumab pegol, golimumab, vedolizumab, and ustekinumab) or tofacitinib. We estimated the proportion of patients who received colonoscopies in the 3–15 months after IBD treatment initiation and described use by patient subgroups. RESULTS: Among 1,708 eligible initiations from 2017 to 2022, the most common medications were ustekinumab (32%), infliximab (22%), vedolizumab (20%), and adalimumab (16%). The median patient age was 38 years, with 66% Crohn's disease; 55% were female, and 12% were non-White. In the 3–15 months after medication initiation, 49.3% (95% confidence interval 46.2%–52.5%) of initiations were followed by a colonoscopy. Colonoscopy use was similar between ulcerative colitis and Crohn's disease, but was higher among male patients, those older than 40 years, and those who received colonoscopy within 3 months of initiation. Colonoscopy use varied between study sites, from 26.6% (15.0%–38.3%) to 63.2% (54.5%–72.0%). DISCUSSION: Approximately half of SPARC IBD patients received colonoscopy in the 3–15 months after initiation to a new IBD treatment, suggesting a low uptake of treat-to-target colonoscopy for the assessment of mucosal healing in real-world clinical practice. The variation in colonoscopy use between study sites suggests a lack of consensus and a need for more robust evidence around whether or not the practice of routine monitoring colonoscopy is associated with improved patient outcomes.
Differences in substrate metabolism between African American and Caucasian infants: evidence from mesenchymal stem cells.

Type 2 diabetes is more prevalent in African American (AA) than Caucasian (C) adults. Further, differential substrate utilization has been observed between AA and C adults, but data regarding metabolic differences between races at birth remains scarce. The purpose of the present study was to determine if there are racial differences in substrate metabolism evident at birth utilizing mesenchymal stem cells (MSCs) collected from offspring umbilical cords. Using radio-labeled tracers, MSCs from offspring of AA and C mothers were tested for glucose and fatty acid metabolism in the undifferentiated state and while undergoing myogenesis in vitro. Undifferentiated MSCs from AA exhibited greater partitioning of glucose towards non-oxidized glucose metabolites. In the myogenic state, AA displayed higher glucose oxidation, but similar fatty acid oxidation rates. In the presence of both glucose and palmitate, but not palmitate only, AA exhibit a higher rate of incomplete fatty acid oxidation evident by a greater production of acid soluble metabolites. Myogenic differentiation of MSCs elicited an increase in glucose oxidation in AA, but not in C. Together, these data suggest that metabolic differences between AA and C races may exist at birth.
Neither Enhanced Nor Lost: The Unique Role of Attention in Children's Neural Representations

A defining feature of children's cognition is the especially slow development of their attention. Despite a rich behavioral literature characterizing the development of attention, little is known about how developing attentional abilities modulate neural representations in children. This information is critical to understanding how attentional development shapes the way children process information. One possibility is that attention might be less likely to shape neural representations in children as compared with adults. In particular, representations of attended items may be less likely to be enhanced relative to unattended items. To investigate this possibility, we measured brain activity using fMRI while children (seven to nine years; male and female) and adults (21–31 years; male and female) performed a one-back task in which they were directed to attend to either motion direction or an object in a display where both were present. We used multivoxel pattern analysis to compare decoding accuracy of attended and unattended information. Consistent with attentional enhancement, we found higher decoding accuracy for task-relevant information (i.e., objects in the object-attended condition) than for task-irrelevant information (i.e., motion in the object-attended condition) in adults' visual cortices. However, in children's visual cortices, both task-relevant and task-irrelevant information were decoded equally well. What is more, whole-brain analysis showed that the children represented task-irrelevant information more than adults in multiple regions across the brain, including the prefrontal cortex. These findings show that (1) attention does not modulate neural representations in the child visual cortex, and (2) developing brains can, and do, represent more information than mature brains. SIGNIFICANCE STATEMENT Children have been shown to struggle with maintaining their attention to specific information, and at the same time, can show better learning of “distractors. ” While these are critical properties of childhood, their underlying neural mechanisms are unknown. To fill in this critical knowledge gap, we explored how attention shapes what is represented in children's and adults' brains using fMRI while both were asked to focus on just one of two things (objects and motion). We found that unlike adults, who prioritize the information they were asked to focus on, children represent both what they were asked to prioritize and what they were asked to ignore. This shows that attention has a fundamentally different impact on children's neural representations.
Development of a promising antigenic cocktail for the global detection of Babesia caballi in horse by ELISA

In this study, we designed novel truncated Babesia caballi (B. caballi) recombinant proteins from the previously used B. caballi proteins; 134-Kilodalton Protein (rBC134) and Merozoite Rhoptry 48 Protein (rBC48). Then, we evaluated the diagnostic performance of the newly designed proteins when used as a single antigen or when used as cocktail antigen consists of rBC134 full length (rBC134f) + newly designed rBC48 (rBC48t) or newly designed rBC134 (rBC134t) + rBC48t for the detection of B. caballi infection in horse using indirect enzyme-linked immunosorbent assay (iELISA). We used one dose and a half of each antigen in the cocktail formulas. The serum samples were collected from different endemic areas in addition to the sera collected from horses experimentally infected with B. caballi were used in the present study. Cocktail antigen in full dose of (rBC134f + rBC48t) exhibited the highest optical density (OD) values with B. caballi–infected sera and showed the lowest OD values with normal equine sera or B. caballi, and Theileria equi mixed infected sera in comparison with the single antigen. Interestingly, the same cocktail antigen exhibited the highest concordance rate (76.74%) and kappa value (0.79) in the screening of 200 field serum samples collected from five B. caballi endemic countries, including South Africa (n = 40), Ghana (n = 40), Mongolia (n = 40), Thailand (n = 40), and China (n = 40) using iELISA and the results were compared to those of indirect fluorescent antibody test (IFAT) as a reference. Moreover, the identified promising cocktail full dose antigen (rBC134f + rBC48t) showed that it can detect the infection as early as the 4th day post-infection in sera collected from experimentally infected horses. The obtained results revealed the reliability of the rBC134f + rBC48t cocktail antigen when used in full dose for the detection of specific antibodies to B. caballi in horses which will be useful for epidemiological surveys and control of equine babesiosis.