Miracle-dz/UniFAR-FTUs huggingface dataset:
Cognitive-behavioral therapy (CBT) for generalized anxiety disorder: Contrasting various CBT approaches in a randomized clinical trial.

OBJECTIVE Cognitive-behavior therapy (CBT) is considered the "golden standard" psychotherapy for generalized anxiety disorder (GAD) but, at this point, we have little information about differences among various CBT approaches. METHOD We conducted a randomized controlled trial to compare three CBT protocols for GAD: (a) Cognitive Therapy/Borkovec's treatment package; (b) Rational Emotive Behavior Therapy, and (c) Acceptance and Commitment Therapy/Acceptance-based behavioral therapy. A number of 75 patients diagnosed with GAD, aged between 20 and 51 (m = 27.13; standard deviation = 7.50), 60 women and 11 men, were randomized to the three treatment arms. RESULTS All treatments were associated with large pre-post intervention reductions in GAD symptoms and dysfunctional automatic thoughts, with no significant differences between groups. Correlation analyses showed similar associations between changes in symptoms and changes in dysfunctional automatic thoughts. CONCLUSIONS All three approaches appear to be similarly effective. Implications for the theoretical models underlying each of the three cognitive-behavior therapy approaches are discussed.
The association between workload, alcohol use, and alcohol misuse among psychiatrists in China

Aim Survey alcohol use and workload among Chinese psychiatrists and explore their associations. Methods We conducted an online questionnaire among psychiatrists working in large psychiatric institutions across the country. We collected data including demographic factors, alcohol use, and workload. Alcohol use was assessed using the Alcohol Use Disorder Identification Test-Consumption (AUDIT-C), and workload-related questions included working hours, night shifts, and caseloads. Results In total, 3,549 psychiatrists completed the survey. Nearly half (47.6%) reported alcohol use, and the percentage of alcohol use in males (74.1%) was significantly higher than in females. 8.1% exceeded the AUDIT-C cutoff scores for probable alcohol misuse (19.6%in males and 2.6%in females). AUDIT-C scores were significantly correlated with working hours per week (p = 0.017) and the number of outpatient visits per week (p = 0.006). Regressional analysis showed that alcohol use was significantly associated with the following factors: longer working hours (Working more than 44 h/week, OR = 1.315), having an administrative position (OR = 1.352), being male (OR = 6.856), being single (OR = 1.601), being divorced or widowed (OR = 1.888), smoking (OR = 2.219), working in the West (OR = 1.511) or the Northeast (OR = 2.440). Regressional analysis showed that alcohol misuse was significantly associated with the following factors: fewer night shifts (Three to four night shifts/month, OR = 1.460; No more than 2 night shifts/month, OR = 1.864), being male (OR = 4.007), working in the Northeast (OR = 1.683), smoking (OR = 2.219), frequent insomnia (OR = 1.678). Conclusion Nearly half of the psychiatrists in China reported alcohol use and 8.1% had probable AUD. Alcohol consumption is significantly associated with several workload-related factors, such as long working hours, heavy caseload, and administrative duties. Alcohol misuse was inversely associated with the number of night shifts per month. While the direction of causality is unclear, our findings may help identify vulnerable professional groups and develop more targeted interventions to improve healthcare professionals’ well-being.
Impact of Sarcopenia and Frailty in a Multicenter Cohort of Polypathological Patients

The prevalence, relationships and outcomes of sarcopenia and frailty in polypathological patients remain unknown. We performed a multicenter prospective observational study in six hospitals in order to assess prevalence, clinical features, outcome and associated risk factors of sarcopenia and frailty in a hospital-based population of polypathological patients. The cohort was recruited by performing prevalence surveys every 14 days during the inclusion period (March 2012–June 2016). Sarcopenia was assessed by means of EWGSOP criteria and frailty by means of Fried’s criteria. Skeletal muscle mass was measured by tetrapolar bioimpedanciometry. All patients were followed for 12 months. Factors associated with sarcopenia, frailty and mortality were analyzed by multivariate logistic regression, and Kaplan–Meier curves. A total of 444 patients (77.3 ± 8.4 years, 55% males) were included. Sarcopenia was present in 97 patients (21.8%), this being moderate in 54 (12.2%), and severe in 43 (9.6%); frailty was present in 278 patients (62.6%), and 140 (31.6%) were pre-frail; combined sarcopenia and frailty were present in the same patient in 80 (18%) patients. Factors independently associated to the presence of both, sarcopenia and frailty were female gender, older age, different chronic conditions, poor functional status, low body mass index, asthenia and depressive disorders, and low leucocytes and lymphocytes count. Mortality in the 12-months follow-up period was 40%. Patients with sarcopenia, frailty or both survived significantly less than those without these conditions. Sarcopenia and frailty are frequent and interrelated conditions in polypathological patients, shadowing their survival. Their early recognition and management could improve health-related outcomes in this population.
The international and historical dimensions of Chilean water bureaucracy

ABSTRACT This article explores the global dimension of Chilean water bureaucracy through the lens of its peripheral global position. The study relies on historical sources and identifies three periods. The first period extends from the end of World War II to the 1973 military coup. During this time, the establishment of water policies, influenced by multilateral and direct US aid, resulted in the formation of a water bureaucracy. US influence persisted during the dictatorship (1973-1990) due to support for the military junta. Since the transition to democracy, the water bureaucracy has relied on foreign capital to implement various water policies.
Investigating "Grokking" – Late Generalisation in Deep Learning

"Grokking" is the phenomenon of late generalization, where machine learning models jump to perfect accuracy after being in the overfitting regime for a long time. Lacking any obvious explanation, understanding this phenomenon may lead to new insights for modern machine learning theory. Grokking was discovered fairly recently in 2022 by Powers et al. [1], and in this thesis, I replicated their experiments to get a more in-depth understanding of this phenomenon. My experiments and analysis uncovered irregular training loss spikes as a fundamental part of grokking behaviour and I describe the details of their occurrence. In addition, I point out different irregular learning behaviours that suggest to look at grokking as an intricate, context-sensitive behaviour instead of a well-defined incidence.
Cholecalciferol Prevent Obesity in Rats Under High Fat High Fructose Diet

Obesity is an accumulation of fat body condition due to calories and energy imbalance. Obesity often coexists with low vitamin D status. Low vitamin D status is known to establish abnormality in lipid profile and increasing weight. This study aims to look at the effect of the dose and duration of Cholecalciferol supplementation on lipid profiles in male rats induced by high fat high fructose diet. In this study, we conducted an experiment using a randomized pre and posttest control group design. This study analyzed 3 groups of male Sprague Dawley strain rats that were induced with a high fat high fructose diet to become diet-induced obesity rats. Each group either receives cholecalciferol in the amount of 2.500 IU/200gr/day in P1 group, 5.000IU/200gr/day in P2 group, and 10.000 IU/200gr/day in P3 group for 8 weeks. Lipid profile outcomes analyzed include levels of total cholesterol, triglycerides, High-density lipoprotein (HDL), and low-density lipoprotein (LDL). Cholecalciferol supplementation resulted in significant differences between all lipid parameters. Total cholesterol levels are lowest in the P3 group with a mean of 102.09±2.45. followed by P2 (115.80±3.98) and P1 group (138.33±4.82), and highest in the control group (196.52±4.36). Triglyceride levels are also lowest in the P3 group with a mean of 76.03±3.81, followed by the P2 (115.80±3.98) and P1 (138.33±4.82) groups, with the highest in the control group (134.46±5.84). HDL levels are instead highest in the P3 group with a mean of 80.93±8.29, followed by P2 (77.98±10.38) and P1 (66.54±7.25) group, while lowest in the control group (25.45±2.32). LDL levels are lowest on the P3 group with a mean of 33.71±2.49, followed by P2 (38.72±1.41), and P1 (47.62±2.76) group, while highest in the control group with a mean of 82.96±1.88. Cholecalciferol supplementation was found to provide a beneficial effect across all lipid profile outcomes in this study such as total cholesterol, triglyceride, HDL, and LDL in high fat high fructose induced male Sprague Dawley rats.
CORRELATION OF ATMOSPHERIC LABILITY INDEX TO VERTICAL WIND SHEAR AT I GUSTI NGURAH RAI AIRPORT

Wind shear is a condition that is detrimental to aircraft because it can cause the aircraft to experience lift, especially during take-off or landing, where wind shear can occur due to bad and unstable weather, so research on the correlation of the atmospheric lability index to wind shear is very important to prevent a plane crash. This research aims to determine the magnitude of the correlation of the atmospheric lability index to the vertical wind shear that occurs at I Gusti Ngurah Rai Airport, Bali. In this research, the Wind Profiler Radar (WPR) brand scintec LAP-3000 was used to obtain wind shear data in the form of wind direction and wind speed data then radiosonde to obtain atmospheric lability index data in the form of Lifted Index (LI), Total-Totals Index (TT), K-Index (KI), and Convective Available Potential Energy (CAPE) index values for each month in 2019-2020. Wind shear measurement was carried out at an altitude of 100-3000 m and data were taken on the difference in wind direction ≥ 60o and the difference in wind speed ≥ 10 knots. Meanwhile, measurement of the atmospheric lability index is carried out by a flying air balloon that has been equipped with a transmitter. All LI, TT, KI, and CAPE index value data and the number of wind shear events were analyzed with Pearson Product Moment correlation. The value of the correlation coefficient (r) between the LI, TT, KI, and CAPE indices was obtained for successive wind shear events of -0.786; 0,250; 0.738, and 0.713. These results show that the LI, KI, and CAPE index values can be used as a reference to predict wind shear events because they have a strong correlation, obtaining a correlation value between 0.60 to 0.79 compared to the TT index.
Distribution of drug-resistant genes in alveolar lavage fluid from patients with psittacosis and traceability analysis of causative organisms

Background Chlamydia psittaci is a small bacterium often found in birds, including poultry, and domesticated mammals, which causes psittacosis (or parrot fever) in humans. Different strains of C. psittaci respond variably to antibiotics, suggesting a possible risk of antibiotic resistance. In general, different genotypes of C. psittaci have relatively stable hosts and different pathogenicity. Methods Macrogenomic sequencing was performed using nucleic acids extracted from psittacosis patients’ alveolar lavage fluid samples and analyzed for genetic variability and antibiotic resistance genes. Nucleic acid amplification sequences specific to the core coding region of the C. psittaci ompA gene were used, and a phylogenetic tree was constructed with C. psittaci genotypic sequences from other sources, including Chinese published sources. The C. psittaci found in each patient were genotyped by comparing ompA gene sequences. In addition, to better illustrate the relationship between genotype and host of C. psittaci, 60 bird fecal samples were collected from bird-selling stores for screening and C. psittaci typing. Results Macrogenomic sequence alignment revealed the presence of resistance genes in varying abundance in samples from all three patients, including C. psittaci resistance gene sequences from two patients that matched those previously published on NCBI. Based on ompA genotyping, two patients were infected with C. psittaci genotype A and one patient was infected with genotype B. All five C. psittaci-positive samples obtained from bird-selling stores were genotype A. Both genotypes are reported to be infectious to humans. The host origin of the samples and the previously reported main sources of each genotype suggested that all but one of the C. psittaci genotype A in this study were derived from parrots, while genotype B was probably derived from chickens. Conclusion The presence of bacterial resistance genes in psittacosis patients may affect the efficacy of clinical antibiotic therapy. Focusing on the developmental progression of bacterial resistance genes and differences in the therapeutic efficacy may facilitate effective treatment of clinical bacterial infections. Pathogenicity genotypes (e.g., genotype A and genotype B) are not limited to one animal host, suggesting that monitoring the development and changes of C. psittaci may help prevent transmission to humans.
Influence of Integrated Nutrient Management on Fractions of Zinc and Its Uptake by Indian Spinach (Beta vulgaris L.)

ABSTRACT Zinc (Zn) availability can change with different organic amendments applied. The aim of this study was to evaluate the impact of farm yard manure (FYM) and vermicompost (VC) applied with or without chemical Zn fertilizer on dry biomass yield, Zn uptake by Indian spinach (Beta vulgaris L.), and distribution of various fractions of Zn in post-harvest soil. Results indicated that dry biomass yield and Zn uptake positively responded to the application of FYM or VC alone at 2% as well as in combination with Zn at 5 mg kg−1 through ZnSO4·7H2O. Integrated application of recommended dose of fertilizers (RDF)+2% VC+5 mg kg−1 Zn increased dry biomass yield and Zn uptake by 2.92- and 3.37-folds, respectively, over the control. Integrated application of RDF+2% FYM+5 mg kg−1 Zn was the best combination for increasing water-soluble and exchangeable Zn (WS&EX-Zn), carbonate-bound Zn (CAR-Zn), Fe- and Mn-oxide-bound Zn (FeMnOX-Zn), and organically bound Zn (OR-Zn) fractions. However, the preponderance of different Zn fractions remained the same in all the treatments, viz. WS&EX-Zn < FeMnOX-Zn < CAR-Zn < OR-Zn < Residual Zn (RES-Zn). All the Zn fractions were significantly and positively correlated with DTPA-extractable Zn, dry biomass yield, and uptake of Zn.
Analyzing the Relationship between Corporate Governance and Working Capital Management in Malaysian Manufacturing Public Listed Companies: A Conceptual Study

In recent years, Malaysian businesses have faced various issues related to working capital management (WCM), which have affected their profitability, liquidity, and overall financial performance. According to a report by the World Bank, only 18.5% of Malaysian SMEs (which include many manufacturing companies) had access to formal financing in 2018, with the majority relying on internal funds or informal sources of financing (World Bank, 2020). This lack of access to financing can lead to cash flow problems and hinder companies' ability to manage their working capital effectively. This conceptual paper aims to investigate the impact of corporate governance on WCM in Malaysia's manufacturing public listed companies. The manufacturing sector is a significant contributor to Malaysia's economy, accounting for over 23% of the country's Gross Domestic Product (GDP) and providing employment to over 2 million people (Department of Statistics Malaysia, 2021). The study employed a qualitative approach, which involved a thorough review of relevant literature on corporate governance and WCM. At the end of this discussion, this study will show the links and correlations between Corporate Governance and WCM. In conclusion, this study found that CEO duality, board size, and audit committee are elements that influence WCM. These findings provide valuable insights for policymakers, management
Noninteracting control of descriptor systems involving disturbances

For m-input p-output descriptor systems involving disturbances, it is proven that if the problem of disturbance rejection is solvable via static-state feedback and the input-output transfer function matrix is right invertible, there always exists a static-state feedback control law yielding, simultaneously to disturbance rejection, a triangular input-output relation. The structural properties of the closed-loop system (stability, pole assignment, etc.) are extensively studied.
Gravitational Collapse in Horndeski Theory

We study the gravitational collapse of a homogeneous time-dependent scalar field which, besides its coupling to curvature, it is also coupled kinematically to the Einstein tensor. This coupling is part of the Horndeski theory and we investigate the effect of the shift symmetry on the collapsing process. We find that, as the value of the derivative coupling is increasing, the time required for the scalar field to collapse is also increasing, the singularity is protected by a horizon and a black hole is formed while the weak energy condition is satisfied during the collapsing process.
IMPACT OF JOB STRESS ON EMPLOYEE’S PERFORMANCE: MODERATING ROLE OF JOB CRAFTING AMONG REMOTE WORK EMPLOYEES

As competition increases, pressure on employees to perform better also increases, leading to job stress. This unmanaged stress affects employees’ well-being, resulting in hindered performance and a decline in work quality. Hence, job stress and performance are crucial research topics. The primary goal of this research is to investigate the effects of job stress on employee performance and the moderating role of job crafting. As COVID-19 has altered the normal performance of work functions, this study focuses on the effects of stress on the performance of remote work employees who were the target sample for this study (n=175). The sample was chosen by convenience sampling and the data were tested and analyzed using SPSS. The results suggest that job stress negatively impacts employee performance and job crafting positively moderates this relationship in remote workers. Furthermore, the results generate valuable insights into the efficacy of job crafting to counter the effects of stress, particularly on employees’ task performance. Keywords: job stress, employee performance, task performance, job crafting, remote work employee.
Implementation of the Family Health Promotion Model (FHPM) on Family Commitment in TB Transmission Preventive Action among the Heads of Familiesof TB Patients: A Structural Model

Tuberculosis (TB) transmission prevention centering on family is an effective strategy to suppress the emergence of new clusters of pulmonary TB transmission. The commitment of family heads and several factors are related to this action. This study was conducted to identify, examine, and analyze the determinants of family commitment in preventing the transmission of pulmonary TB. This study applied a quantitative cross-sectional approach to 170 family heads of pulmonary TB patients using proportionate simple random sampling. The family health promotion model (FHPM) was used to analyze family commitment determinants in preventing TB transmission. Data were collected using a questionnaire. SEM analysis was utilized to determine the paths and the relationship between family function, perception of the disease transmission risk, as well as family support, and commitment to action to prevent TB transmission. This study recorded that 50.6% of respondents were male with an average age of 46.75 ± 46 and an age range of 36-55 years, 53% had a high school education; 25.9% were self-employed; had an average decent living need of 1.93 ± 0.85, 75.3% had nuclear family, and 47.1% were from patriarchal family. Model fit was achieved in the structural equation (Chi-square (χ2) = 173.44; df = 71, RMSEA = 0.072≤ 0.08; GFI = 0.90≥ 0.90; RMR = 0.019≤ 0.05; NFI = 0.98≥ 0.90; CFI = 0.99≥ 0.90; TLI = 0.98≥ 0.95; IFI = 0.99≥ 0.90; PGFI = 0.59; PNFI = 0,76). All dimensions and item scales are significantly related to their respective latent constructs. All factors forming the FHPM framework have a significant positive direct effect between latent variables. Factors from the FHPM framework significantly (family function t = 8.74, perception t = 4.46, and family support t = 7.37) have an influence on commitment to action to prevent pulmonary TB transmission. Family function is the most powerful factor explaining commitment to preventive action. This study reveals the paths and influences of family function, perception, and support on a commitment to prevent pulmonary TB transmission through structural model analysis.
Class Prototypes based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos

The recent growth in the consumption of online media by children during early childhood necessitates data-driven tools enabling educators to filter out appropriate educational content for young learners. This paper presents an approach for detecting educational content in online videos. We focus on two widely used educational content classes: literacy and math. For each class, we choose prominent codes (sub-classes) based on the Common Core Standards. For example, literacy codes include ‘letter names’, ‘letter sounds’, and math codes include ‘counting’, ‘sorting’. We pose this as a finegrained multilabel classification problem as videos can contain multiple types of educational content and the content classes can get visually similar (e.g., ‘letter names’vs ‘letter sounds’). We propose a novel class prototypes based supervised contrastive learning approach that can handle fine-grained samples associated with multiple labels. We learn a class prototype for each class and a loss function is employed to minimize the distances between a class prototype and the samples from the class. Similarly, distances between a class prototype and the samples from other classes are maximized. As the alignment between visual and audio cues are crucial for effective comprehension, we consider a multimodal transformer network to capture the interaction between visual and audio cues in videos while learning the embedding for videos. For evaluation, we present a dataset, APPROVE, employing educational videos from YouTube labeled with fine-grained education classes by education researchers. APPROVE consists of 193 hours of expert-annotated videos with 19 classes. The proposed approach outperforms strong baselines on APPROVE and other benchmarks such as Youtube-8M, and COIN. The dataset is available at https://nusci.csl. sri.com/project/APPROVE.
ENSO-Related Precipitation Changes in New Caledonia, Southwestern Tropical Pacific: 1969–98

Abstract An analysis of El Nino–Southern Oscillation (ENSO) related precipitation changes in New Caledonia, southwestern tropical Pacific, based on 21 selected stations covering the 1969–98 period is performed. The analysis at the ENSO timescale is complemented by an investigation of basin-scale precipitation changes in order to set the context, by an examination of changes in the flow rates of two major rivers of the island, and by a comparison between actual precipitation (P) records and the output of a simple linear regression model. The results indicate that a 20%–50% decrease in precipitation generally occurs during El Nino events, and vice versa during La Nina events. In accord with these P changes, the flow rates of the two rivers can almost double during La Nina years, and decrease by more that 50% during El Nino years. The magnitudes of the precipitation anomalies are however not strictly proportional to the strength of ENSO. Hence, it is found that the simple linear regression model based on the.