Miracle-dz/UniFAR-FTUs huggingface dataset:
THE ROLE OF EMPLOYEE ENGAGEMENT MEDIATE THE EFFECT OF TALENT MANAGEMENT ON TURNOVER INTENTION: EXPERIENCE OF TYPE-C PRIVATE HOSPITAL NURSES

The purpose of this study is to analyze the effect of talent management on turnover intention with employee engagement as mediating variable. This research was carried out in the for Type-C Private Hospital in Denpasar City-Bali Province-Indonesia namely Prima Medika Hospital, Bhakti Rahayu Hospital, Dharma Yadnya Hospital, and Harapan Bunda Hospital. The sample was 93 nurses determined by Slovin Formula which was distributed proportionally in the four hospitals. Data were collected through interview and questionnaire. Technique analysis used was Structural Equation Modeling with variance based (Partial Least Square). The results show that talent management has a negative and significant effect on turnover intention, talent management has a positive and significant effect on employee engagement, employee engagement has a negative and significant effect on turnover intention and employee engagement emerges as mediating variable in the effect of talent management relationship on turnover intention. The result imply that improvement of talent management and employee engagement need to be considered in endeavor to reduce turn over intention of nurses.
Affective States During the First Wave of the COVID-19 Pandemic: Progression of Intensity and Relation With Public Health Compliance Behavior

The COVID-19 pandemic was expected to cause intense affective reactions. This situation provided a unique opportunity to examine the characteristics and correlates of emotions in a real-world context with great significance. Our study aimed to describe the progression of positive and negative affective states during the pandemic, and to investigate which affective states predicted compliance with public health measures. We undertook a survey of affective states in the province of Quebec at the beginning, the peak, and the aftermath of the first wave of the COVID-19 pandemic. We recruited 530 responders; 154 responded to all three surveys. We used self-report scales to measure affective states and compliance with public health measures. We then computed separate linear regressions for the three phases of our study, with compliance with health measures as the dependent variable. Affective states were generally most intense at the beginning of the pandemic. Fear-related pandemic-related affective states reliably predicted compliance with public health measures in the three phases of our study. Positively valenced affective states related to the societal response also contributed predictive value, but only at the peak of the first wave.
Synthesis (Z) vs (E) Selectivity, Antifungal Activity against Fusarium oxysporum, and Structure-Based Virtual Screening of Novel Schiff Bases Derived from l-Tryptophan

Schiff bases are widely used molecules due to their potential biological activity. In this manuscript, we presented the synthesis and NMR study of new enamine Schiff bases derived from l-tryptophan, showing that the Z-form of the enamine is the main tautomeric form for aliphatic precursors. The DFT-B3LYP methodology at the 6-311+G**(d,p) level suggested that the tautomeric imine forms are less stable than the corresponding enamine forms. Their isomerism depends on the formation of intramolecular hydrogen bonds and steric factors associated with the starting carbonyl precursors. The in vitro biological activity tests against Fusarium oxysporum revealed that acetylacetone derivatives are the most active agents (IC50 < 0.9 mM); however, the antifungal activity could be disfavored by bulky groups on ester and enamine moieties. Finally, the structure-based virtual screening through molecular docking and MM-GBSA rescoring revealed that Schiff bases 3e, 3g, and 3j behave putatively as binders for target proteins involved in the life processes of F. oxysporum. In this sense, molecular dynamics analysis showed that the ligand–protein complexes have good stability with root-mean-square deviation (RMSD) values within the allowed range. Therefore, the present study paves the way for designing new antifungal compounds based on l-tryptophan-derived Schiff bases.
Consumer Perceptions about the Value of Short Food Supply Chains during COVID-19: Atlantic Canada Perspective

The recent global COVID-19 pandemic has revealed weaknesses in the global food system, with short food supply chains (SFSCs) and long food supply chains (LFSC) being impacted differently. This raises the question as to whether the pandemic has contributed to a greater interest in and demand for locally produced foods. To answer this question, a study was undertaken to explore how consumers perceive SFSCs in delivering social, economic, and environmental benefits and whether these perceptions have been enhanced during the pandemic. A survey was carried out among consumers in Atlantic Canada who purchase food from SFSCs. Based on 80 valid responses, the findings revealed that consumers perceive SFSCs to deliver more social benefits post-pandemic than they thought SFSCs did before the pandemic. Supporting the local economy, food safety, freshness, and product quality are key motivators of shopping from SFSCs. Consumer perceptions about the sustainability of SFSCs did not vary much based on sociodemographic factors. Also, the COVID-19 pandemic did not significantly alter consumer spending and frequency of shopping from SFSCs. This may affect the SFSCs’ ability to expand operations beyond current levels and suggest the complementarity between SFSCs and LFSCs for more sustainable consumption patterns. The study provides valuable insights into the attractiveness of the local food businesses and the effect of unexpected events such as COVID-19 on consumer behaviors.
Are Crime and Collective Emotion Interrelated? A “Broken Emotion” Conjecture from Community Twitter Posts

A neighborhood’s social cohesion, referring to the emotional and social connection of people within it, tends to have an influential impact on its crime level. Traditional approaches to measuring social cohesion and collective efficacy are mostly interviews and surveys, which are usually costly in time, money, and other resources. Big social media data provides us with a new and cost-effective source of such information. We believe the combination of spatial and contextual information of geotagged Twitter posts (tweets) can gauge the residents’ collective emotions in a neighborhood. The positivity and negativity of these collective emotions may be used to approximate the collective efficacy of the community. Inspired by the broken window theory, we propose a broken emotion conjecture to explain the relationship between collective emotion and crime. To test this conjecture, we collected data on four types of crime (assaults, burglaries, robberies, and thefts) and all public geotagged tweets (N = 778,901) in Cincinnati, Ohio, USA in 2013. We extracted innovative variables from tweets’ spatial and contextual information to explain community crime and enlighten new criminology theory. Results of negative binomial models show: (1) with necessary socio-economic and land-use factors controlled, the more negative the collective emotion of a neighborhood, the more the crime (except for theft); (2) however, the positivity of the collective emotion of a neighborhood does not have any statistically significant influence on crime. These correspond well with signal detection theory in psychology. The proposed broken emotion conjecture is supported with data from Cincinnati and its general applicability should be tested in other regions.
Detection of a Stroke Volume Decrease by Machine-Learning Algorithms Based on Thoracic Bioimpedance in Experimental Hypovolaemia

Compensated shock and hypovolaemia are frequent conditions that remain clinically undetected and can quickly cause deterioration of perioperative and critically ill patients. Automated, accurate and non-invasive detection methods are needed to avoid such critical situations. In this experimental study, we aimed to create a prediction model for stroke volume index (SVI) decrease based on electrical cardiometry (EC) measurements. Transthoracic echo served as reference for SVI assessment (SVI-TTE). In 30 healthy male volunteers, central hypovolaemia was simulated using a lower body negative pressure (LBNP) chamber. A machine-learning algorithm based on variables of EC was designed. During LBNP, SVI-TTE declined consecutively, whereas the vital signs (arterial pressures and heart rate) remained within normal ranges. Compared to heart rate (AUC: 0.83 (95% CI: 0.73–0.87)) and systolic arterial pressure (AUC: 0.82 (95% CI: 0.74–0.85)), a model integrating EC variables (AUC: 0.91 (0.83–0.94)) showed a superior ability to predict a decrease in SVI-TTE ≥ 20% (p = 0.013 compared to heart rate, and p = 0.002 compared to systolic blood pressure). Simulated central hypovolaemia was related to a substantial decline in SVI-TTE but only minor changes in vital signs. A model of EC variables based on machine-learning algorithms showed high predictive power to detect a relevant decrease in SVI and may provide an automated, non-invasive method to indicate hypovolaemia and compensated shock.
CONSTRAINTS AND STRATEGIES OF ISSUING MUNICIPAL SUKUK IN INDONESIA

The purpose of this paper is to analyze the potential of Islamic municipal bonds in Indonesia focused on its constraint and strategy using Analytic Network Process (ANP). Methodology proceeded by literature research to construct a model and in-depth interview with practitioners and regulators both on government and sharia perspective to fully understand and develop an appropriate ANP Network. The experts are divided into two categories as direct relation and non-direct relation experts. The constraints are divided into five nodes, they are political risk, trust between stakeholders, lack of sharia knowledge, law constraint and risk of municipal loan. While the strategies contain of building trust, sharia education, comprehensive law basis, market strategy, and strategy of product innovation. Islamic municipal bonds may be developed by implementing comprehensive law basis as primary strategy to provide the need of law basis as main constraint. Both main constraint and strategy are agreed by all experts except BPK which is more concern in risk of municipal loan.
WUS256: An Adjoint Waveform Tomography Model of the Crust and Upper Mantle of the Western United States for Improved Waveform Simulations

We report a new model (WUS256) of radially anisotropic seismic wavespeeds of the crust and upper mantle of the western United States (WUS) obtained from adjoint waveform tomography for the purpose of improving synthetic waveform fits to observed data. WUS256 is based on inversion of over 94,000 waveforms from 72 earthquakes recorded by nearly 3,400 stations. We started with the SPiRaL global model (Simmons et al., 2021, https://doi.org/10.1093/gji/ggab277) and waveforms in the period band of 50–120 s. We followed a conservative multiscale inversion approach with eight stages and 256 total inversion iterations which enabled monotonic misfit reduction to 20‐s minimum‐period waves. WUS256 relied on time‐frequency (TF) phase misfits and a trust region limited memory Broyden–Fletcher–Goldfarb–Shanno (L‐BFGS) optimization. Hessian‐vector products were used to qualitatively assess model resolution. Results indicate that WUS256 has good coverage of the continental regions to depths of about 150 km and is able to resolve features on lateral scales of about 200 km. We quantify waveform fits by the reduction in TF and normalized amplitude difference misfits between WUS256 and the SPiRaL starting model. WUS256 significantly improves waveform fits with misfit reduction ≥ $\ge $ 64% for both inversion and validation data sets compared to the SPiRaL starting model and shows even better fits compared to other models. Waveform fits illustrate that WUS256 reproduces body‐waves, fundamental mode surface waves as well as late arriving dispersed and/or scattered short period surface waves. The improvement in waveform fit indicates that WUS256 can be used to reproduce path effects on regional complete waveforms and moment tensor inversions.
Chinese University Students’ Perspectives on Help-Seeking and Mental Health Counseling

Psychological distress and mental illness have become increasingly pervasive among Chinese university students. However, many university students who need mental health treatment or psychological support do not actively seek help from professional counselors or service providers, which could lead to poor mental health outcomes. To promote help-seeking, we undertook a qualitative study to understand Chinese university students’ perspectives on help-seeking and mental health counseling. We conducted 13 focus group interviews with students in six universities in Jinan, China, and altogether 91 (62%) female students, and 56 (38%) male students participated in the study. Our results indicate that students’ misconception and distrust of on-campus counseling, stigma of mental illness, low mental health literacy, and hard-to-access mental health services are the major barriers that impede students help-seeking behaviors. Internal struggles and systematic and organizational barriers are identified to shed light on future work to promote mental health literacy among Chinese university students.
Consolidated Chemical Provinces on Mars: Implications for Geologic Interpretations

Chemical provinces were defined on Mars a decade ago using orbital nuclear spectroscopy of K, Th, Fe, Si, Ca, Cl, and H2O. However, past multivariate analyses yielded three sets of provinces, suggesting methodologic variability. Province‐stability to the inclusion of Al and S is also unknown, presenting additional uncertainties for geologic insight. Here we consolidate key multivariate methods to define the first cross‐validated provinces. In southern highlands, the highly incompatible K and Th show non‐uniform distribution with higher values in mid Noachian and Hesperian than late Noachian – early Hesperian volcanic terrains. Silica‐ and Al‐depletion trends from Noachian to Amazonian indicate highly differentiated mantle with variable degree of melting. Late Hesperian lowlands are highly depleted in Al and enriched in K and Th, consistent with volcanic resurfacing from a low‐degree partially melted, garnet‐rich mantle. Furthermore, older volatile‐rich regions such as Medusae Fossae Formation exhibit igneous geochemistry, consistent with water‐limited isochemical weathering throughout Mars's history.
Towards Virtual 3D Asset Price Prediction Based on Machine Learning

Although 3D models are today indispensable in various industries, the adequate pricing of 3D models traded on online platforms, i.e., virtual 3D assets, remains vague. This study identifies relevant price determinants of virtual 3D assets through the analysis of a dataset containing the characteristics of 135.384 3D models. Machine learning algorithms were applied to derive a virtual 3D asset price prediction tool based on the analysis results. The evaluation revealed that the random forest regression model is the most promising model to predict virtual 3D asset prices. Furthermore, the findings imply that the geometry and number of material files, as well as the quality of textures, are the most relevant price determinants, whereas animations and file formats play a minor role. However, the analysis also showed that the pricing behavior is still substantially influenced by the subjective assessment of virtual 3D asset creators.
Prevalence, severity, and risk factor of breakthrough infection after vaccination with either the Covaxin or the Covishield among healthcare workers: A nationwide cross-sectional study

Background and Aims: The coronavirus disease-2019 (COVID-19) pandemic has grappled the entire globe since the beginning of 2020. In India, two vaccines were released in January 2021, the Covaxin® and the Covishield™. However, despite vaccination, many breakthrough infections were reported during the second wave in India. The present cross-sectional study aimed to find out prevalence, severity, and associated risk factors of breakthrough infection among healthcare workers (HCWs) vaccinated against COVID-19. Material and Methods: After ethical approval and CTRI registration, a validated questionnaire was circulated as Google form-based survey to HCWs across the nation through e-mail over 3 weeks. Biweekly reminders were sent to nonresponders till the desired sample size was attained, after which the survey was closed, and responses were charted. Data obtained from the responses were collated and analyzed. Results: A total of 1096 HCWs responded to the survey (54.8% response rate) and 23.36% had breakthrough infection. The severity of infection was more in the 30–50 years age group (P = 0.0170) and doctors belonging to clinical branches (P = 0.0005). The point estimate for effectiveness in preventing infection was significantly better with Covishield™ (78.5% vs. 72.4%) (P = 0.0260). Nearly all those who were infected after vaccination thought that vaccination decreased disease severity. Conclusion: Breakthrough COVID-19 infection still occurred after vaccination though the prevalence of severe infection was low. Covishield™ performed significantly better than Covaxin® in terms of preventing the disease. Clinical branches of medicine were found at a higher risk and younger HCWs or those with comorbidities had a higher severity of the disease.
Psychological Factors Related to Impotence as a Sexual Dysfunction in Young Men: A Literature Scan for Noteworthy Research Frameworks

Despite the increasing interest in clinical practice in sexual dysfunction (SD) and the related relevance of psychological outcomes for young people, this area has been neglected in scientific scenarios. This study aims to draw on recent scientific findings and propose future research perspectives on the risk factors, diagnostic issues, and therapies that address SD for the under-40 age category, with particular attention paid to various psychological aspects. A literature search was conducted on studies published between March 2011 and March 2021. Anxiety, depression, and relational conflicts can both cause and affect sexual dysfunction. Psychological interventions have also proved to be important to organic causes; however, no review has found either sex education programs or multidisciplinary therapies. A multidisciplinary approach involving medical doctors and psychologists (trained in psychosexology) would improve not only the recognition of disorders through organic and psychogenic symptoms, but also treatment effectiveness.
Emotional Intelligence as a predictor of productivity and occupational stress of employees in electrical industries

The study investigated the relationship between emotional intelligence, occupational stress and productivity of employees in electrical industries. Research questions were answered while null hypotheses formulated were tested at 0.05 level of significance. The study adopted a correlational research design and was carried out in North Central States of Nigeria. The population for the study was 301 employees in electrical industries. The entire employees were involved in the study. The instrument for data collection was questionnaire titled Emotional Intelligence, Occupational Stress and Productivity Questionnaire (EIOSPQ). Five experts face- validated the instrument. The internal consistency of the questionnaire items was determined using Cronbach alpha reliability method and coefficients of 0.88 was obtained for Electrical Occupational Stress, 0.94 for Productivity of workers in electrical occupation, 0.85 for Emotional intelligence of employees. The overall reliability coefficient of the questionnaire was 0.96. Out of 301 copies of EIOSPQ administered, 295 copies were completed representing 98.01 percent return rate. Pearson product moment correlation and regression analysis were employed to analyse data for answering research questions and hypotheses. The findings on hypotheses revealed that: EI significantly predicts productivity of employees in electrical industries, EI does not significantly predicts occupational stress of employees in electrical industries, emotional intelligence was a significant moderator of the relationship between occupational stress and productivity of employees in electrical industries, demographic variables were not significantly influenced emotional intelligence and productivity of employees in electrical industries. It was recommended that employees in electrical industries should be sensitized through workshops and seminars on how EI can influence their productivity and occupational stress in their occupations.
The relationship between accounting information and the performance of supplementary health care providers

Purpose: Analyze the relationship between accounting information and the performance of supplementary health care providers (OPS) based on economic and financial indicators. The study assessed operational, liquidity, profitability, and capital structure indicators in addition to the influence of the size and type of provider on the Supplementary Health Performance Index (IDSS), which is a proxy for the OPS performance. Methodology: First, factor analysis was carried out on 18 economic-financial indicators of 568 OPS, which resulted in five factors (operational, liquidity, profitability, capital structure, and size). Finally, a model was developed in which ordinary least squares (MQO) and TOBIT regressions were applied to explain the IDSS, as a function of the five calculated factors plus four dummy variables for the types of OPS. Results: The results showed that the OPS data and economic-financial indicators are jointly relevant to explain the IDSS, indicating that the accounting information can portray aspects of the supplementary health sector, which go beyond the purely financial dimension. Contributions of the Study: The study contributes to the literature by bringing strong evidence that OPS accounting information is important to explain part of the supplementary health sector’s economic environment, surpassing by more than twice its own informational content in the IDSS, which highlights the usefulness and relevance of such information to users of OPS.
Indoor Air Quality in Elderly Centers: Pollutants Emission and Health Effects

The world population is ageing, in particular in the developed world, with a significant increase in the percentage of people above 60 years old. They represent a segment of the population that is more vulnerable to adverse environmental conditions. Among them, indoor air quality is one of the most relevant, as elders spend comparatively more time indoors than younger generations. Furthermore, the recent COVID-19 pandemic contributed immensely to raising awareness of the importance of breathing air quality for human health and of the fact that indoor air is a vector for airborne infections and poisoning. Hence, this work reviews the state of the art regarding indoor air quality in elderly centers, considering the type of pollutants involved, their emission sources, and their health effects. Moreover, the influence of ventilation on air quality is also addressed. Notwithstanding the potential health problems with the corresponding costs and morbidity effects, only a few studies have considered explicitly indoor air quality and its impacts on elderly health. More studies are, therefore, necessary to objectively identify what are the impacts on the health of elderly people due to the quality of indoor air and how it can be improved, either by reducing the pollutants emission sources or by more adequate ventilation and thermal comfort strategies.