Miracle-dz/UniFAR-FTUs huggingface dataset:
LEVEL OF EMPATHY AND SEVERITY OF PSYCHOPATHIC TRAITS IN MEDICAL, LAW AND PSYCHOLOGY STUDENTS

The aim of this study was to show the differences between groups of medical, law and psychology students in terms of empathy and psychopathy, as well as to show whether there are relationships between these variables in the studied groups. The study involved 70 female and 50 male students, constituting three equal groups of 40 people each, studying Medicine, Law and Psychology respectively. Two standardized tools were used in the study: the Index of Interpersonal Reactivity (IRI) by M.H Davis and the Polish adaptation of I. Pilch and her team's Triarchic Psychopathy Measure (TriPM), the original version of which was developed by Patrick, Fowles and Krueger, as well as a specially designed sociodemographic questionnaire. The study showed an inverse relationship between empathy and psychopathy and that there were differences in both empathy and psychopathy levels between different groups of students. Law students had lower levels of empathy in two di mensions according to the IRI than medical and psychology students. When analyzing the severity of some psychopathic traits and the overall psychopathy score according to TriPM, it was found that law students had the highest levels in the overall psychopathy score and meanness, but no statistically significant differences were observed in other TriPM variables between the groups studied. Law students had the lowest empathy scores of the groups studied, and medical students had slightly lower empathy scores than psychology students. It was also shown that law students had the highest overall psychopathy score of the three groups studied. Negative correlational relationships between empathy and psychopathy were observed in medical and law students – indicating that higher levels of empathy are associated with lower levels of psychopathy.
LIFESTYLE AS RISK FACTOR FOR BREAST CANCER: A CASECONTROL STUDY IN CHENNAI, TAMIL NADU, INDIA

AIM: The present investigation was attempted to find out the possible life style risk factors for breast cancer among the breast cancer cases, using a case-control study in Chennai, Tamil Nadu, India. Methods: A total number of 512 breast cancer cases, from various hospitals of Chennai and 540 control women of same age group in same geographical area, were investigated using standard questionnaire that evaluated the various lifestyle risk factors for breast cancer such as BMI, physical exercise, psychological stress, abortion, lifestyle health problems and parity. Results: Karl Pearson's chi-square test was performed to determine the overall association between the lifestyle risk factors and breast cancer. The results revealed that all the lifestyle risk factors investigated were found to be highly significantly associated with breast cancer when compared with control women in Chennai. Conclusion: The lifestyle changes such as overall maintenance of BMI, increasing physical exercise, decreasing psychological stress using yoga, avoiding abortion, increasing parity and eating healthy traditional foods may reduce the risk of breast cancer
Retrieval of Simultaneous Water‐Level Changes in Small Lakes with InSAR

Lakes are essential elements of the hydrological and biochemical cycles (Prigent et al., 2012). They store a large proportion of surface freshwater (Woolway et al., 2020) and offer numerous ecosystem services such as fresh water supply, storage and regulation, food security, recreational opportunities, and transportation (Ye et al., 2017). Furthermore, lakes are strategic ecosystems and fundamental for analysis, monitoring, and achieving sustainable development (Jaramillo et al., 2019; UN General Assembly, 2015; Woolway et al., 2020). Changes in lake water availability affect the dynamics of their aquatic and terrestrial ecosystems and their associated watersheds (Woolway et al., 2020). These changes arise from accelerated Earth system change, driven by direct human activities and climate change. Lake water levels determine if their aquatic and related terrestrial ecosystems can withstand such threats, if the lakes turn from carbon sinks to sources, and if their freshwater can be used as a resource.
Field Evaluation of Cucurbita Germplasm for Resistance to Whiteflies and Whitefly-transmitted Viruses

Summer squash (Cucurbita pepo L.) is a major vegetable crop produced in Georgia and Florida during the fall season. This production is vulnerable to whitefly (Bemisisia tabaci Genn.)-transmitted viruses that lead to severe yield losses. Over the past several years, whitefly populations have increased during the fall, thus leading to an increase in whitefly-transmitted viruses such as Cucurbit leaf crumple virus (CuLCrV) and Cucurbit yellow stunting disorder virus (CYSDV). Whitefly management for summer squash relies on the use of insecticides and can be costly without providing adequate management of the viruses. Deployment of host resistance to whiteflies and their transmitted viruses (CuLCrV and CYSDV) is the best strategy for mitigating yield loss of summer squash; however, no resistant cultivars are commercially available. In the current study, resistance or tolerance to whiteflies, CuLCrV, and CYSDV was determined for squash germplasm from the U.S. Department of Agriculture (USDA) Germplasm Resources Information Network (GRIN), university breeding programs, and commercial companies in Georgia and Florida across 2 years. In both locations and years, visual virus symptom severity scores were collected and a quantitative polymerase chain reaction (qPCR) was used to determine the CuLCrV viral load and CYSDV presence in Georgia. Whitefly-induced feeding damage was evaluated by directly assessing the intensity of silverleaf symptoms and visual counts of whitefly adults on the foliage in the field or in photographs. Virus symptom severity was lower in C. moschata Duchesne ex Poir. genotypes, namely, PI 550689, PI 550692, PI 550694, PI 653064, and Squash Betternut 900, than in other evaluated genotypes. Two C. pepo accessions were common between both locations for viral severity (PI 442294) or viral severity and viral load (PI 171625). Lower CuLCrV loads were identified in C. ecuadorensis Cutler & Whitaker (PI 540895), and C. okeechobeensis (Small) L.H. Bailey (PI 540900) than other evaluated genotypes. Four genotypes tested negative for CYSDV during both years: C. pepo (PI 507882), C. moschata (PI 483345), C. ecuadorensis (PI 390455), and C. okeechobeensis (PI 540900); they are potential sources of resistance. Six C. moschata accessions (PI 211999, PI 550690, PI 550692, PI 550694, PI 634982, and PI 653064) showed high tolerance to silverleaf disorder and had the lowest adult whitefly counts. Collectively, the accessions identified in the current study are potential sources of resistance or tolerance to whitefly and whitefly-transmitted viruses (CuLCrV and CYSDV).
My Caregiver the Cobot: Comparing Visualization Techniques to Effectively Communicate Cobot Perception to People with Physical Impairments

Nowadays, robots are found in a growing number of areas where they collaborate closely with humans. Enabled by lightweight materials and safety sensors, these cobots are gaining increasing popularity in domestic care, where they support people with physical impairments in their everyday lives. However, when cobots perform actions autonomously, it remains challenging for human collaborators to understand and predict their behavior, which is crucial for achieving trust and user acceptance. One significant aspect of predicting cobot behavior is understanding their perception and comprehending how they “see” the world. To tackle this challenge, we compared three different visualization techniques for Spatial Augmented Reality. All of these communicate cobot perception by visually indicating which objects in the cobot’s surrounding have been identified by their sensors. We compared the well-established visualizations Wedge and Halo against our proposed visualization Line in a remote user experiment with participants suffering from physical impairments. In a second remote experiment, we validated these findings with a broader non-specific user base. Our findings show that Line, a lower complexity visualization, results in significantly faster reaction times compared to Halo, and lower task load compared to both Wedge and Halo. Overall, users prefer Line as a more straightforward visualization. In Spatial Augmented Reality, with its known disadvantage of limited projection area size, established off-screen visualizations are not effective in communicating cobot perception and Line presents an easy-to-understand alternative.
Exercise Dependence and Body Image Concerns Amongst Group Fitness Instructors: A Self-Determination Theory Approach

Introduction Despite the fact that group fitness instructors serve as significant role models with potentially great impact on class participants' motivation for exercise, they are a very under-researched group. The aim of this study was therefore to examine group fitness instructors' motivational regulations for exercise, and how these motivational regulations can predict symptoms of exercise dependence and body image concerns. Methods Group fitness instructors from the largest fitness companies in Norway (n = 837, response rate: 57%) completed an online survey with reference to the Situational Motivation Scale (SIMS), the Exercise Dependence Scale (EDS), the Eating Disorders Inventory subscales drive for thinness (EDI-DT) and body dissatisfaction (EDI-BD), and their weekly amount of exercise and instruction. Results The instructors scored high on identified regulation and intrinsic regulation for exercise. EDS total score was positively correlated with all SIMS subscales and weekly instruction was positively correlated with Intrinsic regulation. Multiple hierarchical regression analyses found that both self-determined motivational regulations as well as external regulation positively predicted their EDS score. External regulation positively predicted EDI-DT, and EDI-BD. Conclusion Group fitness instructors seem highly intrinsically motivated for exercise, which is hypothesized to have a positive impact on group fitness class participants. High self-determined exercise behavior does not seem to buffer against symptoms of exercise dependence within this specific population. There is a need for awareness of group fitness instructors who show high exercise dependency scores due to the link to body image concerns, amotivation and external regulated motivation.
Dietary Intake and Nutritional Status of the adult Kheria Sabar males of West Bengal, India

ABSTRACT Kheria Sabars are an indigenous community living in the rural areas of Purulia, West Bengal, India. This work aims to study dietary intake and its relation to nutritional status among adult Kheria Sabar males aged 18–60. The study entails the recording of anthropometric variables like height (cm) and weight (kg) as per the standard protocol and calculating body mass index (BMI). Dietary intake was recorded on the basis of the 24-h dietary recall method. The intake of different nutrients was computed and compared with the Recommended Dietary Allowances (RDA) for Indians by the Indian Council of Medical Research Expert Committee. Results revealed a paradox where undernutrition was prevalent (44.28%) despite balanced nutrient intake. This paradox creates scope for further exploratory research among other communities living in similar habitats.
CT-guided microwave ablation of hepatic malignancies via transpulmonary approach without ancillary techniques

Objectives: The objectives of the study were to determine the safety and efficacy of computed tomography (CT)-guided transpulmonary percutaneous microwave ablation (MWA) for hepatic malignancies without the use of ancillary techniques. Material and Methods: A retrospective review was performed on patients who underwent MWA for hepatic malignancy between January 2014 and February 2020 at a single tertiary center. Imaging was reviewed for each procedure to identify MWA showing transpleural transgression on CT scans. For these patients, demographics, ablation data, pulmonary complication rate, and predictors of pneumothorax were analyzed. Results: A total of 71 consecutive sessions (62.1 ± 11.3 years, 79% of males) of MWA were performed to treat 71 tumors (1.90 ± 0.96 cm) via transpulmonary approach under CT guidance. Technical success was achieved in all cases immediately after the procedure. At 1-month follow-up, 65/69 (94.2%) patients had no residual disease (two patients were lost to follow-up). Pulmonary complications occurred in 26/71 (36.6%) sessions, and 15/26 (57.7%) were minor requiring no intervention. Pneumothorax occurred in 14/71 (19.7%) sessions, and the rate of major pneumothorax requiring chest tube was 8/71 (11.3%). Lesions on the left side of the liver (segments I–IV) and intraprocedural probe adjustment were found to be independent predictors of developing major pneumothorax (P = 0.007 and 0.028, respectively). There were no reported pulmonary complications at the 1-month follow-up. Conclusion: CT-guided transpulmonary MWA is safe and effective in treating hepatic malignancies. Although it is associated with the risk of developing pulmonary complications, patients underwent successful ablation of their hepatic malignancies without life-threatening complications and mortality.
A closer look at the mycobiome in Alzheimer's disease: Fungal species, pathogenesis and transmission

Candida spp. , Malassezia spp. , Cladosporium spp. and Alternaria spp. are among the most common fungi detected in the brain of patients with Alzheimer's disease (AD). These fungi are opportunistic organisms, where they often cause infection among immunocompromised patients. Coincidentally, these fungi can reach the brain and cause fungal meningitis. In general, they enter the brain via systemic infection due to disrupted epithelial barrier from skin and gut colonization. Once it reaches the brain, Candida species has been postulated to induce fungal glial granulomas with amyloid precursor protein (APP) accumulated inside. Cleavage of APP can lead to the production of amyloid beta (Aβ). Malassezia species can lead to neuroinflammation via activating helper T‐cell (Th) 1 and Th17 immune response. Besides that, the pathogenesis of Cladosporium species and Alternaria species in AD remains unknown, but it could be related to the neuroinflammation. These two fungal species may have involved in acetylcholinesterase (AChE) inhibitor production in the brain. All these four fungi can be detected at the same time in the brain, which contribute to chronic neuroinflammation and neurodegeneration in the brain. This review hopes to shed some light in understanding the presence of fungi in the brain and their possible role in AD pathogenesis.
An Intelligent System for Early Recognition of Alzheimer’s Disease Using Neuroimaging

Alzheimer’s disease (AD) is a neurodegenerative disease that affects brain cells, and mild cognitive impairment (MCI) has been defined as the early phase that describes the onset of AD. Early detection of MCI can be used to save patient brain cells from further damage and direct additional medical treatment to prevent its progression. Lately, the use of deep learning for the early identification of AD has generated a lot of interest. However, one of the limitations of such algorithms is their inability to identify changes in the functional connectivity in the functional brain network of patients with MCI. In this paper, we attempt to elucidate this issue with randomized concatenated deep features obtained from two pre-trained models, which simultaneously learn deep features from brain functional networks from magnetic resonance imaging (MRI) images. We experimented with ResNet18 and DenseNet201 to perform the task of AD multiclass classification. A gradient class activation map was used to mark the discriminating region of the image for the proposed model prediction. Accuracy, precision, and recall were used to assess the performance of the proposed system. The experimental analysis showed that the proposed model was able to achieve 98.86% accuracy, 98.94% precision, and 98.89% recall in multiclass classification. The findings indicate that advanced deep learning with MRI images can be used to classify and predict neurodegenerative brain diseases such as AD.
Interleukin-1β Induces Tissue Factor Expression in A549 Cells via EGFR-Dependent and -Independent Mechanisms

Tissue factor (TF) plays an important role in the progression and angiogenesis of tumor cells. The present study investigated the mechanism of interleukin-1β (IL-1β)-induced TF expression in A549 lung cancer cells. Based on mRNA and protein analyses, including appropriate inhibitor experiments, IL-1β was shown to induce TF expression in a time-dependent manner, mediated by IL-1 receptor-dependent phosphorylation of the mitogen-activated protein kinases (MAPK) p38, p42/44 and c-jun N-terminal kinase (JNK), as well as the Src kinase and the epidermal growth factor receptor (EGFR). Thereby, inhibition of EGFR transactivation by the Src inhibitor PP1 or direct EGFR inhibition by the EGFR tyrosine kinase inhibitor (TKI) erlotinib led to a reduction of IL-1β-induced TF expression and to a suppression of p42/44 MAPK and EGFR activation, while IL-1β-induced p38 MAPK and JNK activation remained unchanged. A knockdown of EGFR by siRNA was associated with decreased IL-1β-mediated p42/44 MAPK activation, which was no longer inhibitable by erlotinib. Concentration-dependent inhibition of IL-1β-induced TF expression was also observed in the presence of gefitinib and afatinib, two other EGFR TKIs. In summary, our results suggest that IL-1β leads to increased TF formation in lung cancer cells via both Src/EGFR/p42/44 MAPK-dependent and EGFR-independent signaling pathways, with the latter mediated via p38 MAPK and JNK.
Alcohol’s Effects During Uncertain and Uncontrollable Stressors in the Laboratory

Alcohol’s effects on reactivity to stressors depend on the nature of the stressor and the reactivity being assessed. Research that identifies characteristics of stressors that modulate reactivity and clarifies the neurobehavioral, cognitive, and affective components of this reactivity may help prevent, reduce, or treat the negative impacts of acute and chronic alcohol use and have implications for other psychopathology involving maladaptive reactivity to stressors. We used a novel, multimeasure, cued, electric-shock-stressor paradigm in a greater-university community sample of adult recreational drinkers to test the effects of alcohol (n = 64), compared with no alcohol (n = 64), on reactivity to stressors that vary in both their perceived certainty and controllability. Preregistered analyses suggested alcohol significantly dampened subjective anxiety (self-report) and defensive reactivity (startle potentiation) more during uncertain stressors than during certain stressors regardless of controllability, which suggests that stressor uncertainty—but not uncontrollability—may be sufficient to enhance alcohol’s dampening of stress reactivity and thus negative reinforcement potential.
Choice of optimization routine for multi-agent models: A caseof viral video marketing campaign

Very few agent-base computational models are optimized because the usually used optimization routine, the genetic algorithm, is extremely time-consuming. This paper explores how much precision is lost if a simpler optimization routine, mutational hill climber, is used instead. It shows on the case of a viral-video marketing model that even though the standard genetic algorithm is slightly more precise, the mutation hill climbing could be used as an approximate optimization routine for robustness check and scenario analysis.
Men’s Football Fandom and the Performance of Progressive and Misogynistic Masculinities in a ‘New Age’ of UK Women’s Sport

This article offers an original contribution as the first to focus empirically on men football fans’ attitudes towards women’s sport in a ‘new age’ of UK media coverage, in which women’s sport has experienced a significantly increased and more positive media profile. We draw on online survey responses from 1950 men football fans of different age groups from across the UK. Our methodological approach used techniques emerging out of the principles of grounded theory. We develop a new, three-fold, theoretical model, covering men football fans’ attitudes to women in the sports nexus and men’s performances of masculinities. Our findings show evidence of a change in attitudes towards women in sport, with men performing progressive masculinities. However, there were also signs of a backlash against advances in gender equality, with men performing overtly misogynistic masculinities and covertly misogynistic masculinities.
Health Professionals’ eHealth Literacy and System Experience Before and 3 Months After the Implementation of an Electronic Health Record System: Longitudinal Study

Background The implementation of an integrated electronic health record (EHR) system can potentially provide health care providers with support standardization of patient care, pathways, and workflows, as well as provide medical staff with decision support, easier access, and the same interface across features and subsystems. These potentials require an implementation process in which the expectations of the medical staff and the provider of the new system are aligned with respect to the medical staff’s knowledge and skills, as well as the interface and performance of the system. Awareness of the medical staff’s level of eHealth literacy may be a way of understanding and aligning these expectations and following the progression of the implementation process. Objective The objective of this study was to investigate how a newly developed and modified instrument measuring the medical staff’s eHealth literacy (staff eHealth Literacy Questionnaire [eHLQ]) can be used to inform the system provider and the health care organization in the implementation process and evaluate whether the medical staff’s perceptions of the ease of use change and how this may be related to their level of eHealth literacy. Methods A modified version of the eHLQ was distributed to the staff of a medical department in Denmark before and 3 months after the implementation of a new EHR system. The survey also included questions related to users’ perceived ease of use and their self-reported information technology skills. Results The mean age of the 194 participants before implementation was 43.1 (SD 12.4) years, and for the 198 participants after implementation, it was 42.3 (SD 12.5) years. After the implementation, the only difference compared with the preimplementation data was a small decrease in staff eHLQ5 (motivated to engage with digital services; unpaired 2-tailed t test; P=.009; effect size 0.267), and the values of the scales relating to the medical staff’s knowledge and skills (eHLQ1-3) were approximately ≥3 both before and after implementation. The range of scores was narrower after implementation, indicating that some of those with the lowest ability benefited from the training and new experiences with the EHR. There was an association between perceived ease of use and the 3 tested staff eHLQ scales, both before and after implementation. Conclusions The staff eHLQ may be a good candidate for monitoring the medical staff’s digital competence in and response to the implementation of new digital solutions. This may enable those responsible for the implementation to tailor efforts to the specific needs of segments of users and inform them if the process is not going according to plan with respect to the staff’s information technology–related knowledge and skills, trust in data security, motivation, and experience of a coherent system that suits their needs and supports the workflows and data availability.