Miracle-dz/UniFAR-FTUs huggingface dataset:
RUNAWAY MASSIVE STARS FROM R136: VFTS 682 IS VERY LIKELY A “SLOW RUNAWAY”

We conduct a theoretical study on the ejection of runaway massive stars from R136—the central massive, starburst cluster in the 30 Doradus complex of the Large Magellanic Cloud. Specifically, we investigate the possibility of the very massive star (VMS) VFTS 682 being a runaway member of R136. Recent observations of the above VMS, by virtue of its isolated location and its moderate peculiar motion, have raised the fundamental question of whether isolated massive star formation is indeed possible. We perform the first realistic N-body computations of fully mass-segregated R136-type star clusters in which all the massive stars are in primordial binary systems. These calculations confirm that the dynamical ejection of a VMS from an R136-like cluster, with kinematic properties similar to those of VFTS 682, is common. Hence, the conjecture of isolated massive star formation is unnecessary to account for this VMS. Our results are also quite consistent with the ejection of 30 Dor 016, another suspected runaway VMS from R136. We further note that during the clusters’ evolution, mergers of massive binaries produce a few single stars per cluster with masses significantly exceeding the canonical upper limit of 150 M☉. The observations of such single super-canonical stars in R136, therefore, do not imply an initial mass function with an upper limit greatly exceeding the accepted canonical 150 M☉ limit, as has been suggested recently, and they are consistent with the canonical upper limit.
Clinical and Epidemiological Features of COVID-19 Patients in Rafsanjan County, Iran: A Secondary Data based Study

Background: Information about COVID-19 patients must be studied meticulously to control the COVID-19 pandemic more effectively. This study aimed to evaluate the clinical and epidemiological features of COVID-19 patients in Rafsanjan County. Materials and Methods: In this descriptive study, data of 3,212 patients referred to the Ali-Ibn Abitaleb Hospital in Rafsanjan County, Iran were recorded. Collected data included demographic information (age, sex, etc.), information about the method of referral to the hospital, contact history, previous history of infections, clinical symptoms associated with the disease, and data on comorbidities. Data were analyzed using a chi-square test and logistic regression coefficients. Results: The three common clinical symptoms were fevers (46%), muscular pain (44.6%), and coughs (34%). The most common comorbidity was hypertension (7.9%), and the case fatality rate was 10.8%. Besides, the death ratio in confirmed patients was significantly higher than that in suspected cases (P < 0.001). The chance of death in men was 16% higher than Women's (OR = 1.166). The chance of death in people with cancer and in people with reduced levels of consciousness was 9.1 and 5.5 times, respectively, higher than that in patients without comorbidity (P < 0.001). Conclusions: Most of the features of our patients resembled those reported in previous research. The results of this study can contribute to healthcare policymaking for this disorder. © The Author(s) 2022;All rights reserved. Published by Rafsanjan University of Medical Sciences Press.
Discriminative models, not discriminative training

Suppose you are given a dataset of pairs (x, c) where c is a class variable and x is a vector of features. Given a new x, you want to predict its class. The generative i.i. d. approach to this problem posits a model family p(x, c | θ) = p(x | c, λ)p(c | π) (1) and chooses the best parameters θ = {λ, π} by maximizing (or integrating over) the joint distribution (where D denotes the data): p(D, θ) = p(θ) ∏
Pengaruh Keterlibatan Kerja Dan Kepuasan Kerja Terhadap Kinerja Karyawan PDAM Sumber Pocong Bangkalan Dengan Motivasi Sebagai Variabel Intervening

This study discusses about the effect job involvement, job satisfaction, empleyee performance and motivation of PDAM Sumber Pocong Bangkalan. The purposes of this study are to find out the effect job involvement and job satisfaction effect onemployee performance through motivation as an intervening variable. Ita use a quantitative approach population in this study 183 with 65 sample respondents, and used questionnaires in collecting data, using the multiple linear regression and path analyisis, the result showed that : 1) job involvement has a positive and significant effect on motivation. 2) job satisfaction has a positive and significant effect on motivation. 3) job involvement has a positive and significant effect on employee. 4) job satisfaction has a positive and significant effect on employee performance. 5) motivation has a positive and significant effect on employee performance 6) job involvement has a direct effect on employee performance without through the motivation. 7) job satisfaction has a direct effect on employee performance without through the motivation.
Obstructive Sleep Apnea Syndrome In Vitro Model: Controlled Intermittent Hypoxia Stimulation of Human Stem Cells-Derived Cardiomyocytes

Cardiovascular morbidity is the leading cause of death of obstructive sleep apnea (OSA) syndrome patients. Nocturnal airway obstruction is associated with intermittent hypoxia (IH). In our previous work with cell lines, incubation with sera from OSA patients induced changes in cell morphology, NF-κB activation and decreased viability. A decrease in beating rate, contraction amplitude and a reduction in intracellular calcium signaling was also observed in human cardiomyocytes differentiated from human embryonic stem cells (hESC-CMs). We expanded these observations using a new controlled IH in vitro system on beating hESC-CMs. The Oxy-Cycler system was programed to generate IH cycles. Following IH, we detected the activation of Hif-1α as an indicator of hypoxia and nuclear NF-κB p65 and p50 subunits, representing pro-inflammatory activity. We also detected the secretion of inflammatory cytokines, such as MIF, PAI-1, MCP-1 and CXCL1, and demonstrated a decrease in beating rate of hESC-CMs following IH. IH induces the co-activation of inflammatory features together with cardiomyocyte alterations which are consistent with myocardial damage in OSA. This study provides an innovative approach for in vitro studies of OSA cardiovascular morbidity and supports the search for new pharmacological agents and molecular targets to improve diagnosis and treatment of patients.
How Employees Experience Digital Transformation: A Dynamic And Multi-Layered Sensemaking Perspective

The capacity to deal with digital transformation is a valuable asset for established organizations, and employees play a crucial role in this process. This study contributes to the understanding of employees’ sensemaking of digital transformation in the tour operating industry. Using prior digital transformation research, construal-level theory (CLT), and dynamic change perspectives, our scholarly work focuses on the complexities of organizational change in a digital transformation context. Although employees generally support digital transformation, our findings show that their perceptions change over time across a range of specific challenges experienced during the employee change journey. Our findings stress the importance of adopting a social exchange lens in digital transformation knowledge as this represents deep structure change that might cause well-designed transformation processes to fail. Implications for hospitality and tourism management are discussed.
Noncommutative Lp modules

We construct classes of von Neumann algebra modules by considering ``column sums" of noncommutative L^p spaces. Our abstract characterization is based on an L^{p/2}-valued inner product, thereby generalizing Hilbert C*-modules and representations on Hilbert space. While the (single) representation theory is similar to the L^2 case, the concept of L^p bimodule (p not 2) turns out to be nearly trivial.
Pre-service Teachers’ Readiness on Online Learning and their 21st Century Pedagogical Skills

This study looked at the online learning readiness and 21st century pedagogical skills among pre-service teachers of a state university in the Philippines during the school year 2021-2022. The descriptive-correlational method was applied through an adapted survey questionnaire administered to 28 pre-service teachers. The findings revealed that pre-service teachers were ready for online learning in terms of computer/internet self-efficacy, self-directed learning, learner control, motivation for learning, and online communication self-efficacy. They were also equipped with 21st century pedagogical skills such as information and communication technology skills, life-long learning skills, flexibility skills, creative problem-solving skills, and critical thinking skills. The findings also indicated a substantial relationship between the pre-service teachers’ readiness in online learning and their 21st century pedagogical skills. The study suggests that universities may create appropriate provisions to provide their faculty members with the necessary professional development training opportunities to raise awareness and improve e-pedagogical skills.
A Review of Multi-Modal Learning from the Text-Guided Visual Processing Viewpoint

For decades, co-relating different data domains to attain the maximum potential of machines has driven research, especially in neural networks. Similarly, text and visual data (images and videos) are two distinct data domains with extensive research in the past. Recently, using natural language to process 2D or 3D images and videos with the immense power of neural nets has witnessed a promising future. Despite the diverse range of remarkable work in this field, notably in the past few years, rapid improvements have also solved future challenges for researchers. Moreover, the connection between these two domains is mainly subjected to GAN, thus limiting the horizons of this field. This review analyzes Text-to-Image (T2I) synthesis as a broader picture, Text-guided Visual-output (T2Vo), with the primary goal being to highlight the gaps by proposing a more comprehensive taxonomy. We broadly categorize text-guided visual output into three main divisions and meaningful subdivisions by critically examining an extensive body of literature from top-tier computer vision venues and closely related fields, such as machine learning and human–computer interaction, aiming at state-of-the-art models with a comparative analysis. This study successively follows previous surveys on T2I, adding value by analogously evaluating the diverse range of existing methods, including different generative models, several types of visual output, critical examination of various approaches, and highlighting the shortcomings, suggesting the future direction of research.
A Review of the Impact of Zinc Oxide Nanostructure Morphology on Perovskite Solar Cell Performance

Zinc oxide (ZnO) has been widely studied over the last decade for its remarkable properties in optoelectronic and photovoltaic devices because of its high electron mobility and excitonic properties. It has probably the broadest range of nanostructured forms that are also easy and cheap to synthesize using a wide variety of methods. The volume of recent work on ZnO nanostructures and their devices can potentially overshadow significant developments in the field. Therefore, there is a need for a concise description of the most recent advances in the field. In this review, we focus on the effect of ZnO nanostructure morphologies on the performance of ZnO-based solar cells sensitized using methylammonium lead iodide perovskite. We present an exhaustive discussion of the synthesis routes for different morphologies of the ZnO nanostructure, ways of controlling the morphology, and the impact of morphology on the photoconversion efficiency of a given perovskite solar cell (PSC). We find that although the ZnO nanostructures are empirically similar, one-dimensional structures appear to offer the most promise to increasing photoconversion efficiency (PCE) by their proclivity to align and form vertically stacked layers. This is thought to favor electron hopping, charge mobility, and conductivity by allowing multiple charge conduction pathways and increasing the effective junction cross-sectional area. The combined effect is a net increase in PCE due to the reduced surface reflection, and improved light absorption.
Correlation between Noise Exposure and Mental Health Components among Iranian Steel Workers, 2021

Article Info Background: Noise is an important occupational safety and health issue in many workplaces. Noise annoyance is a strong measurable mental response. It is a reaction that a person expresses to the noise exposure. Thus, this study investigates the correlation between noise exposure and its annoyance in terms of mental health components. Materials and Methods: This was a correlational descriptive study conducted on 100 workers. Respondents were recruited by a simple random sampling method. The equivalent sound level (LeqA) was determined using dosimetry. The numerical scale of ISO/TS 15666:2003 was used to measure noise annoyance. Mental health components were determined using the SCL-90 mental health questionnaire. Data analysis was performed in SPSS software (version 22) using Mann-Whitney, Kruskal–Wallis, and correlation tests. Results: The median of mental health and noise annoyance were 38 and 6.5, respectively. A positive correlation was observed between equivalent sound level (LeqA) and noise annoyance score (P<0.001, r=0.92). A significant correlation was found between mental health components (depression, anxiety, self-morbidity, obsession and compulsion, aggression, morbid fear, paranoid thoughts, psychosis, and sensitivity in interpersonal relationships) and equivalent sound level (P<0.001). Also, a significant correlation was observed between noise annoyance score and mental health components (P<0.001). Conclusion: We concluded thatin order to enhance the mental health of employees and increment efficiency and performance, it is recommended that appropriate control methods should be applied. Correlation between Noise Exposure and Mental Health Components among
Social Support Is Linked to Post-Traumatic Growth among Tunisian Postoperative Breast Cancer Women

The struggle with breast cancer (BC) is often associated with positive changes after diagnosis and treatment, that are being referred to as posttraumatic growth (PTG). We aimed to examine PTG and its relationship with psychosocial (i.e., psychological distress, spiritual well-being, social support), sociodemographic and cancer-related variables in Tunisian women operated on for breast cancer. This was a cross-sectional study. Seventy-nine (79) postoperative BC women were administered the Post-Traumatic Growth Inventory, the Spiritual Well-being Scale, the Depression, Anxiety and Stress Scales, and the Multidimensional Scale of Perceived Social Support. The changes most frequently reported by participants were discovering that they were stronger than they thought they were (70.0%), having stronger religious faith (65.0%), and being better able to accept the way things work out (63.8%). Multivariate analysis showed that anxiety and social support remained significantly associated with PTG, while no significant relationship has been found for spiritual well-being. Overall, the present study adds to the existing body of research by identifying factors related to women’ s experience of PTG in a previously unexplored Arab Muslim cultural context, Tunisia. We believe that our findings may help inform strategies aiming at promoting positive psychological changes after experiencing BC, at least in our context.
Spherically Symmetric Approximation (and beyond) in Relativistic Schroedinger Theory

The energy eigenvalue problem of non-relativistic positronium is considered within the framework of Relativistic Schroedinger Theory (RST), and the results are compared to those of the conventional quantum theory. For the range of princi- pal quantum numbers n = 2;3;::: ;30, the RST predictions for the non-relativistic positronium energies deviate now from the corresponding predictions of the conven- tional quantum theory at an average of (roughly) 3%. These results suggest that the deviations will be further diminished in the higher orders of approximation.
DETERMINING FACTORS OF HOUSEHOLD WILLINGNESS TO PAY FOR DRINKING WATER SERVICES

Determinants of Willingness to Pay (WTP) for drinking water facilities help a lot in identifying price concerns and appropriate strategies for the facilities of drinking water to the households. The current study investigates the key determining factors of WTP for drinking water services and presents a logical setup that explains the significance of WTP determinants. We applied Contingent Valuation Approach (CVA) and analyzed the results through multinomial logistic regression. Findings disclosed that the income, education of the household head, highest education in the family, family size and residential area of the household significantly influence the WTP. It is suggested that education and awareness about water quality have to be disseminated among the households to increase their WTP for the drinking water services. The government should boost the income-generating programs to improve the financial status of the households to enhance their willingness to pay and purchasing power. Keywords: Drinking water, Contingent Valuation Approach (CVA), Determinants, Household, Willingness to Pay (WTP), Policy.
EXAMINING THE EFFECTS OF PERCEIVED RISK ON CONSUMER’S ONLINE PURCHASE INTENTION IN KLANG VALLEY

This study examined the relationship between perceived risk and online purchase intention, including the roles of trust and subjective norms as a mediator and moderator in the relationship. A survey method was used to collect data and the hypotheses were tested using quantitative analysis. 250 respondents completed the online survey, and the results were evaluated using IBM SPSS Statistics 26 and SmartPLS 3.3. 3. Based on the findings, perceived risk was found to negatively affect online purchase intention and trust, while trust was positively associated with online purchase intention and significantly mediated the relationsh ip between perceived risk and online purchase intention. Subjective norms were also found to moderate the relationship between perceived risk and online purchase intention. Thus, when the level of subjective norm is low, the relationship between perceived risk and online purchase intention becomes stronger. This study would be beneficial to the online vendors involved in e-commerce activities. Since many online vendors are still facing certain risks in their online businesses that would consequently affect their transactions and performance, they can use the insights gained from the findings of this study to have a better understanding of consumers and provide effective marketing strategies to enhance trust and reduce risks.
An evaluation of daily weight monitoring as a method of weight gain prevention

An Evaluation of Daily Weight Monitoring as a Method of Weight Gain Prevention Shawn Nicole Katterman Michael R. Lowe, Ph.D. Objective: Despite significant efforts to reduce obesity, there remains a great need to address the problem on a population level. Thus, it is imperative that interventions be developed that are cost-effective and can be widely disseminated. One group of individuals who appear to be at high risk for weight gain is young adults. In the past, daily weight monitoring has shown a preventative effect in normal weight college students. The current study aimed to replicate and extend these findings by testing the effects of weight monitoring in normal and overweight young adults. Method: College females in the normal and overweight range were randomly assigned to an assessmentonly control group, or to an intervention group who monitored their weight daily for 8 weeks and received simple online feedback about their weight trajectory. Results: No statistically significant effect of group assignment on weight change was observed, however, the control group gained more weight on average and a significant effect may have been detected with a larger sample. Of those who gained more than 1 kg, there were no significant differences in which group they had been assigned to. No significant changes in cognitive or behavioral variables were observed as a result of daily weighing. A measure of healthy eating behaviors at baseline was the only measure associated with less weight gain across conditions. Discussion: Though the current study did not reveal a statistically significant effect of daily weight monitoring on weight gain prevention, the
Individual differences in eating motives and environmental attitudes

ABSTRACT Research shows that plant-based diets help reduce the impacts of climate change and that people who adopt plant-based diets tend to have more proenvironmental attitudes. However, recent work has highlighted that people can have very different reasons to eat meat or be vegetarian, opening up new opportunities to understand how eating motives intersect with attitudes about the environment. In this study, associations were examined between four motivations to eat meat (natural, necessary, normal, and nice), three motivations to be vegetarian (health, the environment, and animal rights), and seven environmental attitudes (knowledge, connectedness to nature, intrinsic, extrinsic and social motives for sustainable behavior, faith in growth, and biospherism) in a community sample from the US (N = 1,234). Distinct profiles of environmental attitude were found across different motivations to eat meat. Ethical motives to be vegetarian were more strongly related to proenvironmental attitudes than health motives. These results move beyond general associations between meat reduction and proenvironmental attitudes by showing that individual differences in dietary motivations have different implications for how individual think about and interact with the environment. Implications for future research are discussed.