Miracle-dz/UniFAR-FTUs huggingface dataset:
Intégration de données satellitaires à la modélisation hydrologique du Mont Liban

Résumé Vu le manque de mesures in situ, il est difficile d'estimer le volume d'eau stocké sous forme de neige sur le Mont Liban et encore plus de prévoir avec quelle rapidité ce volume d'eau sera disponible. C'est là que la télédétection peut aider la modélisation hydrologique. Ainsi, il serait possible de mettre à jour la distribution spatiale de l'équivalent en eau de la neige sèche à partir d'images RADARSAT-1. L'approche a été testée à l'hiver 2001. Les résultats obtenus portent à croire que l'algorithme serait susceptible de s'appliquer au couvert neigeux méditerranéen. Toutefois, une certaine prudence s'impose car le nombre de sites de mesures était limité. Durant la période de fonte et par temps clair, les données des capteurs opérant dans la partie réfléchie du spectre, comme le capteur VEGETATION, peuvent être utilisées pour suivre la limite inférieure du couvert de neige en montagne. L'étendue de la couverture de neige simulée par un modèle hydrologique, comme HYDROTEL, peut alors être validée et mise à jour. L'intégration des données de télédétection dans la modélisation pourrait donc permettre de suivre la quantité de neige au sol. Toutefois, l'ajout de stations météorologiques automatiques bien instrumentées, semble nécessaire.
Critical Insights Based on the Ministry of Health’s 6-Year Data Analysis: An Epidemiological Study of Patient Visits Trends of Emergency Departments in Türkiye

Introduction: Although emergency services are at a vital point in health systems, they occupy a large place in terms of service capacity and finance. An emergency service visit complaint may be within the scope of the primary health-care service, or it may be a health problem that must be completed with the minutes. Overcrowding of emergency departments (EDs) and delayed visits may be critical for priority patients to receive treatment. In our study, it was aimed to examine all 6-year patient visits to all emergency services in Turkiye in detail and to determine the epidemiological trends of visits. Methods: The study includes a total of 925,161,028 ED visits, including both children and adults. Data were collected from the EDs of all healthcare institutions in Türkiye, through the Sağlıkta İstatistik ve Nedensel Analizler (Statistics and Causal Analysis in Health) program web inter-face. Results: Average time from registration to triage was 16.9 min. 787,617,762 triages have been made. About 28.30% were classified as green triage, 68.51% were classified as yellow triage, 3.18% as red triage, <0.01% as black triage, and 137,543,266 visits (14.87% of among total visits) were as other (non-triaged). The highest number of visits, 66.2 million (7.2%), occurred be-tween 20: 00 and 21: 00 weekly, while the lowest number of visits occurred between 5: 00 and 6: 00, with about 6 million visits (0.65%). Discussion and Conclusion: The high volume of ED visits, particularly during non-office hours and among certain de-mo-graphic groups, highlights the need for targeted strategies to optimize healthcare delivery. This could include enhancing primary and secondary care services, improving health literacy among the population, and implementing effective triage systems and which, will be key to ensuring the sustainability of Türkiye’s health-care system and improving health outcomes for the population.
Aging Behavior and Mechanism Evolution of Nano-Al2O3/Styrene-Butadiene-Styrene-Modified Asphalt under Thermal-Oxidative Aging

The goal of this paper is to analyze the aging behavior and the mechanism evolution of nano-Al2O3 (NA)-reinforced styrene-butadiene-styrene (SBS) asphalt under different thermal-oxidative aging conditions. First, NA/SBS-modified asphalt and SBS-modified asphalt with different aging levels were prepared. Second, the viscosity and high temperature rheological performance of the specimens were tested and the property-related aging indexes were calculated and compared. Third, a Fourier transform infrared (FTIR) test of the specimen was conducted and the chemical group-related aging indexes were calculated and analyzed. Fourth, gel permeation chromatography (GPC) was used to analyze the molecular weight of the specimens under different aging levels. Then, an atomic force microscope (AFM) was adopted to analyze the microsurface morphology of different specimens. Finally, correlation analysis between property-related indexes and chemical group indexes was conducted. The results show that NA can enhance the thermal-oxidative aging resistance of SBS asphalt. NA can inhibit the increase in sulfoxide groups and the degradation of the SBS polymer with the increase in aging. NA can slow down the formation of large molecule during the aging process. The degree of change in both the bee structures and micromorphological roughness of NA/SBS asphalt is lower than that of SBS asphalt under different aging levels.
Extended lifespan and improved genome stability in HepaRG-derived cell lines through reprogramming by high-density stress

Significance Recent research highlights the key role of physical constraints and mechanotransduction in controlling cell differentiation and epigenetic memory. We show that very high-density seeding, possibly triggering compressive stress under spatial confinement, with or without corticoids, can direct the transdifferentiation of hepatoma HepaRG cells, establishing stable cell lines with enhanced genomic stability, delayed progression to a more aggressive cancer state, and no loss of epigenetic memory of the liver phenotype. By inducing a rejuvenation-like process that reprograms cells toward pluripotency through chromatin remodeling, resetting of DNA repair capacity and telomerase reactivation, our protocol opens avenues to perpetuate worldwide access to HepaRG cells and to design protective therapies to circumvent the problem of genomic instability associated with aggressive cancer phenotypes.
Burnout as a State: Random-Intercept Cross-Lagged Relationship Between Exhaustion and Disengagement in a 10-Day Study [Response to Letter]

Beata A Basinska 1 Ewa Gruszczynska 2 1Faculty of Management and Economics, Gdansk University of Technology, Gdansk, Poland; 2Faculty of Psychology, University of Social Sciences and Humanities, Warsaw, Poland Dear Editor, We are writing in response to the Letter to the Editor by Block, Bair, and Carillo regarding our study, which took a multilevel approach to examine cross-lagged and co-existing relationships between exhaustion and disengagement, measured daily for ten consecutive working days using the Oldenburg Burnout Inventory (OLBI). We assessed the job burnout symptoms using only eight items, all of them worded negatively. Following Block, Bair, and Carillo’s request, we are happy to provide supplementary cross-sectional results from the first day of our study. The mean and standard deviation was 2.34 ± 0.99 for exhaustion, 2.10 ± 0.80 for disengagement, and the t-paired test was statistically significant (t (234) = 5.47, p < 0.001). In addition, a higher level of exhaustion was associated with a higher level of disengagement (Pearson’s r = 0.72, p <.001). Furthermore, we have datasets from other studies on burnout, in which the first author was involved, that use OLBI as a measurement tool and we are presenting similar analyses based on them as well. The summary is provided in Table 1. In the study among civil servants, we examined the shape of the relationship between positivity (i.e., the proportion of positive to negative job-related emotions) and job burnout using a cross-sectional and longitudinal approach. Job burnout was measured twice, at a four-month interval. We observed that, at each measurement point, the mean value for exhaustion was significantly higher than for disengagement. This is consistent with results from an academic anesthesia department reported by Block, Bair, and Carillo.We also examined the relationship between positivity and job burnout among a mixed group of police officers and firefighters. Contrary to the aforementioned studies, the results of this study indicated that the mean value for disengagement was higher than for exhaustion. However, it is worth noting that the gender distribution of each group differed greatly. While the majority of civil servants were women (75%), the vast majority of uniformed officers were men (94%). Also, the characteristics of these professions differ substantially. In another study, Basinska, Wiciak, and Dåderman examined the relationship between fatigue, emotion, and job burnout among a group of police officers (15% women) where the results also showed Correspondence: Beata A Basinska Faculty of Management and Economics, Gdansk University of Technology, Narutowicza 11/12, Gdansk 80-233, Poland Tel +48 58 647 1899 Fax +48 58 347 1861 Email Beata.Basinska@pg.edu. pl Psychology Research and Behavior Management Dovepress open access to scientific and medical research
Separation standards in the North Atlantic Region, 1965-71, in the light of recent measurements of flying errors

Interpretations are proposed for the sets of measurements which have been made of track-keeping and height-keeping errors. From these measurements, estimates are made of the elementary probabilities and frequencies which make up the expressions for collision risk derived in earlier papers of this series. Assessments are then made of the levels of safety implied in various lateral and vertical separation standards, which might be considered for the North Atlantie region, for the forecast traffic in the period 1965-71. There is also a brief discussion of longitudinal separation, for which there is not yet sufficient data to allow useful estimates of collision risk.
Cognitive Neuroimaging Studies on Poverty and Socioeconomic Status Differences in Children and Families across the World: Translational Insights for Next Decade’s Policy, Health, and Education

This systematic review and meta-analysis of global peer-reviewed neuroimaging findings preliminarily assessed the magnitude of effect sizes (ES) of the influences of family poverty/low socioeconomic status (SES) on children’s neurocognition and whether these were consistently detrimental. The literature search (Web of Science; PUBMED; MEDLINE: PSYCNET; GOOGLE SCHOLAR; SCIENCEDIRECT) included 66 studies from 1988 to 2022; 85% of the studies included were conducted in Western, high-income nations. Bayesian models, corrected by study sizes and variances, revealed ESs were heterogeneous across countries and measurements. Bayesian and standard hypothesis testing indicated high and low SES groups showed similar behavioral performances in neuroimaging-concurrent tasks. Except for Magnetic Resonance Imaging studies, ESs were small-to-intermediate with modest reliability. The strongest ESs were found for attention, mathematical performance, language, and cortical volume, followed by intermediate ESs for reading and socioemotional processes. Differentials in resting activity and connectivity, working memory, and executive functions yielded small effects. A bibliometric analysis showed a significant proportion of the literature attributed neurocognitive deficits to low SES, despite overlooking the under-representativity of non-Western and low-income countries, potential influences of racial/ethnic differences, and measurement sensitivity/specificity discrepancies. To reach United Nations Sustainable Development Goals, policies and interventions should consider regional, structural, or environmental ecologies beyond the individual, critically probing implicit deficit attributions.
Concordant and Discordant Cerebrospinal Fluid and Plasma Cytokine and Chemokine Responses in Mild Cognitive Impairment and Early-Stage Alzheimer’s Disease

Neuroinflammation may be a pathogenic mediator and biomarker of neurodegeneration at the boundary between mild cognitive impairment (MCI) and early-stage Alzheimer’s disease (AD). Whether neuroinflammatory processes are endogenous to the central nervous system (CNS) or originate from systemic (peripheral blood) sources could impact strategies for therapeutic intervention. To address this issue, we measured cytokine and chemokine immunoreactivities in simultaneously obtained lumbar puncture cerebrospinal fluid (CSF) and serum samples from 39 patients including 18 with MCI or early AD and 21 normal controls using a 27-plex XMAP bead-based enzyme-linked immunosorbent assay (ELISA). The MCI/AD combined group had significant (p < 0.05 or better) or statistically trend-wise (0.05 ≤ p ≤ 0.10) concordant increases in CSF and serum IL-4, IL-5, IL-9, IL-13, and TNF-α and reductions in GM-CSF, b-FGF, IL-6, IP-10, and MCP-1; CSF-only increases in IFN-y and IL-7 and reductions in VEGF and IL-12p70; serum-only increases in IL-1β, MIP-1α, and eotaxin and reductions in G-CSF, IL-2, IL-8 and IL-15; and discordant CSF–serum responses with reduced CSF and increased serum PDGF-bb, IL-17a, and RANTES. The results demonstrate simultaneously parallel mixed but modestly greater pro-inflammatory compared to anti-inflammatory or neuroprotective responses in CSF and serum. In addition, the findings show evidence that several cytokines and chemokines are selectively altered in MCI/AD CSF, likely corresponding to distinct neuroinflammatory responses unrelated to systemic pathologies. The aggregate results suggest that early management of MCI/AD neuroinflammation should include both anti-inflammatory and pro-neuroprotective strategies to help prevent disease progression.
Buffering effect of positive parent-child relationships on adolescent risk taking: A longitudinal neuroimaging investigation

Adolescence is marked by a steep increase in risk-taking behavior. The serious consequences of such heightened risk taking raise the importance of identifying protective factors. Despite its dynamic change during adolescence, family relationships remain a key source of influence for teenagers. Using a longitudinal fMRI approach, we scanned 23 adolescents twice across a 1.5-year period to examine how changes in parent–child relationships contribute to changes in adolescent risk taking over time via changes in adolescents’ neural reactivity to rewards. Results indicate that although parent–child relationships are not
Role of Acorus calamus in preventing depression, anxiety, and oxidative stress in long-term socially isolated rats

Background and Aim: Social isolation stress (SIS) and individual housing have been shown to cause abnormal cognitive insufficiencies, altered anxiety levels, and signs of psychiatric diseases. Acorus calamus (AC), commonly known as Sweet Flag, has been widely used in India to treat neurological, metabolic, and respiratory disorders, indicating its potential therapeutic value. This study aimed to determine the antidepressant and antioxidative effects of AC on rats subjected to long-term, social isolation-induced stress. Materials and Methods: This study involved 2-month-old male rats (24) weighing approximately 180–200 g bred in-house. The rats were divided into four groups (n = 6): Group 1 received saline, Group 2 received SIS, Group 3 received only 50 mg/kg AC, and Group 4 received 50 mg/kg AC and SIS for 6 weeks. After this, behavioral, biochemical, and neuronal assays were conducted. Results: Behavioral experiments showed significantly higher activity levels (p < 0.001) in AC-treated rats than in the SIS group. In addition, rats subjected to SIS with AC treatment exhibited enhanced total antioxidants, superoxide dismutase, and neuronal assays compared to rats subjected to SIS alone. Conclusion: Acorus calamus treatment improved the antidepressant and antioxidant potential against SIS in rat brain tissue. Moreover, we proved that AC can effectively reverse the neurotoxicity induced by SIS in animal models. As we battle against the coronavirus disease 2019 pandemic and social isolation, AC could be considered a supplementary treatment to alleviate depressive-like symptoms in our present-day lifestyle.
A Brain Morphometry Study with Across-Site Harmonization Using a ComBat-Generalized Additive Model in Children and Adolescents

Regional anatomical structures of the brain are intimately connected to functions corresponding to specific regions and the temporospatial pattern of genetic expression and their functions from the fetal period to old age. Therefore, quantitative brain morphometry has often been employed in neuroscience investigations, while controlling for the scanner effect of the scanner is a critical issue for ensuring accuracy in brain morphometric studies of rare orphan diseases due to the lack of normal reference values available for multicenter studies. This study aimed to provide across-site normal reference values of global and regional brain volumes for each sex and age group in children and adolescents. We collected magnetic resonance imaging (MRI) examinations of 846 neurotypical participants aged 6.0–17.9 years (339 male and 507 female participants) from 5 institutions comprising healthy volunteers or neurotypical patients without neurological disorders, neuropsychological disorders, or epilepsy. Regional-based analysis using the CIVET 2.1. 0. pipeline provided regional brain volumes, and the measurements were across-site combined using ComBat-GAM harmonization. The normal reference values of global and regional brain volumes and lateral indices in our study could be helpful for evaluating the characteristics of the brain morphology of each individual in a clinical setting and investigating the brain morphology of ultra-rare diseases.
The role of academic procrastination on Internet addiction among Thai university students: A cross-sectional study

Background The internet has become an inevitable tool for information-seeking and communication in today’s modern era. However, ironically it has driven humankind to become more dependent, leading to addiction. Internet addiction has increased exponentially at all levels of society, especially university students, impeding their physical, psychological, and social well-being. Objective This study aimed to examine the relationship between academic procrastination and internet addiction and determine the influence of academic procrastination on internet addiction among Thai university students. Methods A cross-sectional study was conducted involving 470 participants selected through multi-stage cluster random sampling from a university in eastern Thailand. The data collection was conducted between 29 November 2022 and 27 January 2023. The data were gathered using a demographic data form, an internet addiction test, and a procrastination assessment scale for the students’ questionnaire. Descriptive statistics, Pearson correlation coefficient, and simple linear regression were employed for data analysis. Results The results revealed that academic procrastination (M = 49.68, SD = 12.61) and internet addiction (M = 65.26, SD = 5.60) were at a moderate level. A positive correlation was identified between academic procrastination and internet addiction (r = 0.33, p <0.01), indicating a low relationship. Academic procrastination also had a significant predictive power on internet addiction, accounting for 11.3% of the variance (R2 adjusted = 0.113, F (1, 468) = 59.583, p <0.001). Conclusion The findings indicated the significant role of academic procrastination on internet addiction. Therefore, it is crucial that nurses should formulate interventions by considering this factor and emphasize self-regulatory and time-management skills and practical ways to limit internet dependence. Furthermore, the findings suggest that nurses could assess the procrastination level among students, devise prevention strategies, and organize awareness campaigns to instill information about rational internet use that aids in mitigating the risks and preventing them from getting addicted.
Evaluation of Human Pose Recognition and Object Detection Technologies and Architecture for Situation-Aware Robotics Applications in Edge Computing Environment

Realization of situation-awareness for autonomous robotics applications in edge computing environment is challenging. First, computing capabilities of edge devices are limited, which must be considered in the execution of machine learning (ML)-based solutions. Second, many technologies are available for realizing situation-aware capabilities, but comparison and integration of solutions creates additional challenges. Third, existing ML-based models are often not directly applicable for realizing custom applications, and model(s) may need to be re-trained with new data. The contribution of this paper is efficiency and feasibility evaluation of human pose recognition and object detection technologies in edge computing environment. Several lessons learnt covering constraints are presented regarding feasibility of the experimented technologies and data sets. The efficiency evaluation results indicated that simultaneous human pose recognition (Google’s Movenet) and object detection (Yolov5) on Jetson AGX Xavier achieved ~13-16 FPS, while GPU and CPU utilization remained at a medium level, and most of the memory remained unused (< 44 %). Object concept and human pose concept activation algorithms may be considered as an additional contribution. Realized architecture design of the prototyped system in multiple computing environments can be considered as a partial evaluation of a ML-based big data reference architecture.
THE ARCHAEOLOGICAL SITE - POSSIBLE EVIDENCE ABOUT MULTIHAZARD ANCIENT EVENTS

The paper discusses the Cybele ancient temple discovered near Balchik in 2007 and the possible natural disasters that may have led to its destruction. This is the best preserved monument belonging to these ancient times, dedicated to the Mother Goddess - Cybele. The hypothesis for multidisaster natural events that have occurred consequently is presented using both - archaeological and geophysical evidence - earthquakes, tsunamis and landslides as acting geodynamic forces, which caused the temple destruction and preservation. Most of the observations and discovered artefacts are interpreted as possible arguments for the tragic consequences of the events that have destroyed the temple.
Computer-Based Diagnosis of Celiac Disease by Quantitative Processing of Duodenal Endoscopy Images

Celiac disease (CD) is a lifelong chronic autoimmune systemic disease that primarily affects the small bowel of genetically susceptible individuals. The diagnostics of adult CD currently rely on specific serology and the histological assessment of duodenal mucosa on samples taken by upper digestive endoscopy. Because of several pitfalls associated with duodenal biopsy sampling and histopathology, and considering the pediatric no-biopsy diagnostic criteria, a biopsy-avoiding strategy has been proposed for adult CD diagnosis also. Several endoscopic changes have been reported in the duodenum of CD patients, as markers of villous atrophy (VA), with good correlation with serology. In this setting, an opportunity lies in the automated detection of these endoscopic markers, during routine endoscopy examinations, as potential case-finding of unsuspected CD. We collected duodenal endoscopy images from 18 CD newly diagnosed CD patients and 16 non-CD controls and applied machine learning (ML) and deep learning (DL) algorithms on image patches for the detection of VA. Using histology as standard, high diagnostic accuracy was seen for all algorithms tested, with the layered convolutional neural network (CNN) having the best performance, with 99.67% sensitivity and 98.07% positive predictive value. In this pilot study, we provide an accurate algorithm for automated detection of mucosal changes associated with VA in CD patients, compared to normally appearing non-atrophic mucosa in non-CD controls, using histology as a reference.