Miracle-dz/UniFAR-FTUs huggingface dataset:
Fashion Corporate Social Responsibility, Corporate Image, Product Preference, and Purchase Intention: Chinese Consumers’ Perspectives

In this age of information, companies are losing grip of their image. Perhaps this explains the reason why corporate social responsibility (CSR) has become somewhat of a buzzword among established fashion industry leaders companies seem determined to show stakeholders that they have values, are — responsible, and they are driven by more by values than the prospects of financial gain. This study assessed the effect of CSR have in the fashion industry on the corporate image, product preference, and purchase intention in China. Three hundred native residents in China participated in an online survey from 1-12th Jan 2017. The results were as follows: (1) CSR consists of five components; economic responsibility, ethical responsibility, environmental protection, consumer protection, and philanthropic responsibility. (2) Both economic and ethical responsibilities have significant positive effects on corporate image, while perceived CSR does not have significant effect on product preference or purchase intention. (3) Consumers’ product preference and perceptions regarding corporate image influence their intention on making a purchase. These findings might operationally assist Korean fashion corporations to identify and address the critical aspects of CSR management which will improve their image as good corporate citizens and foster favorable attitudes toward fashion products from China. Further results and direction of future research were discussed.
Novel Coronavirus Disease (COVID-19): Causes, Pathogenesis and Efforts of Treatment

Due to the rapid spread of the virus worldwide, the World Health Organization (WHO) has announced COVID-19 as a public health emergency of international concern [ ]all attention and support are directed towards the scientists and researchers hoping to develop a vaccine against the killer virus that has infected millions of people, killed thousands, and still threatens the entire world A novel coronavirus was subsequently identified as the causative pathogen, provisionally named 2019 novel coronavirus (2019-nCoV They found that the virus is related to single strand RNA strains and its genetic map was closed to Coronavirus family, where it was more identical to coronavirus strains of bat origin (bat-SLCoVZC45 and bat-SL-CoVZXC21;about 88% sequence identity), and less similar to both severe acute respiratory syndrome coronavirus (SARS-CoV, about 79% identity) and Middle East respiratory syndrome coronavirus (MERS-CoV, about 50% identity) (R Lu et al , 2020;Ren et al , 2020;N Zhu et al , 2020)2019, patients presenting with viral pneumonia due to an unidentified microbial agent were reported in Wuhan, China A novel coronavirus was subsequently identified as the causative pathogen, provisionally named 2019 novel coronavirus (2019-nCoV [ ]they found that the new virus has similar morphological features to Coronavirus family such as the solar corona appearance, the spherical shape of virus particles (60 to 140 nm diameter) with characteristic spikes (N Zhu et al , 2020)
Fair Value Measurement and Audit Pricing

This study examines whether fair value reporting is related to audit pricing. I posit that the extent of assets and liabilities measured at fair value is positively associated with audit fees. When a client firm has a higher level of its assets and liabilities measured at fair values, its risk of financial misreporting is increased, making auditors increase their audit effort and, thereby, charge higher audit fees. Using firms covered in AuditAnalytics and Compustat database, I empirically examine an association between fair value estimates and audit fees. Consistent with my hypothesis, my findings indicate a positive relationship between the level of fair value assets and liabilities and audit fees. I also conduct several additional analyses which support the main findings. This paper contributes to the fair value literature and the audit pricing literature by offering direct empirical indication on the association between fair value reporting and audit fees. It further provides evidence on the economic consequences of SFAS 157 adoption and identifies the extent of assets and liabilities measured at fair value as one of the audit fee determinants.
The influence of force misconceptions on engineering students' performance in university introductory physics courses

Learning of physics becomes hard due, among other things, to the presence of misconceptions, i.e., ideas that students believe to be true but which are not scientifically correct. In this work, a reduced version of the Force Concept Inventory (FCI) was used to study the most common misconceptions about force among first-year industrial engineering students at the University of Jaen. The influence of these misconceptions on the students’ performance on physics exams has been investigated. Misconceptions have a significant influence on academic failure (75 per cent of students that drop out had an inventory score, prior the teaching program, below 40 per cent). But not all misconceptions seem to have the same impact on academic results. We have analyzed in detail the eight misconceptions that are present in more than 30 % of the students and only one of them seems to be relevant to students’ performance, whereas four of them do not appear to be influential.
2018 Observing Golden Mean Universality Class in the Scaling of Thermal Transport

We address the issue of whether the golden mean (cid:2) ψ = ( √ 5 + 1) / 2 ≃ 1 . 618 (cid:3) universality class, as predicted by several theoretical models, can be observed in the dynamical scaling of thermal transport. Remarkably, we show estimate with unprecedented precision, that ψ appears to be the scaling exponent of heat mode correlation in a purely quartic anharmonic chain. This observation seems somewhat deviation from the previous expectation and we explain it by the unusual slow decay of the cross-correlation between heat and sound modes. Whenever the cubic anharmonicity is included, this cross-correlation is gradually died out and another universality class with scaling exponent γ = 5 / 3, as commonly predicted by theories, seems recovered. However, this recovery is accompanied by two interesting phase transition processes characterized by a change of symmetry of the potential and a clear variation of the dynamic structure factor, respectively. Due to these transitions, an additional exponent close to γ ≃ 1 . 580 emerges. All these evidences suggest that, to gain a full prediction of the scaling of thermal transport, more ingredients should be taken into account.
Promotion of Prescription Drugs and Its Impact on Physician's Choice Behavior

Purpose: Aims to determine the most effective promotional tools putatively influencing physicians’ prescription behavior by examining five commonly-used promotional tools: sales promotions; advertising; public relations; direct marketing; and personal selling. Specifically aims to evaluate which medical practitioners’ demographic factors influence the relationship between the various promotional tools and physicians’ prescription behavior. Design/methodology/approach: A cross-sectional research design is proposed, based on the stimulusorganism- response (S-O-R) paradigm, in which the data is to be collected through questionnaires completed by physicians in Sudan, using a five-point Likert scale. Structural equation modeling, using AMOS statistical software, is proposed to analyze the data. Findings: A detailed literature review reveals that most previous research has largely ignored demographic factors when studying the effectiveness of the promotional tools used by pharmaceutical companies. Therefore, a novel methodology is proposed to incorporate these factors into future research. Practical implications: The anticipated results will help pharmaceutical companies formulate better strategies regarding the use of promotional tools to maximize their investment. Originality/value: Inadequate knowledge of factors and tools that are likely to influence the sale of drugs negatively affects the success of the company and its market share. Undertaking the current study, and using the same methodology in other regions, especially developing countries, will add to the current literature on pharmaceutical marketing. Unlike most previous research, the methodology proposed in this paper includes demographic factors that influence the effectiveness of these promotional tools.
Metoclopramide nanoparticles modulate immune response in a diabetic rat model: association with regulatory T cells and proinflammatory cytokines

Background The inflammatory basis of diabetes mellitus directed the researchers’ attention to the immune system for better management and prevention of complications. Metoclopramide (MCA; the only US Food and Drug Administration-approved for gastroparesis) has the ability to restore immune function through increasing prolactin secretion. This study aimed to test the effect of BSA/MCA nanoparticles (NPs) on modulating immune response. Methods BSA/MCA NPs were fabricated by desolvation and evaluated in vitro via measuring loading efficiency, particle size, and surface charge. The selected formula was further evaluated via differential scanning calorimetry and release behavior. Then, NPs were injected into rats (25 mg MCA/kg/week) for 3 weeks to be evaluated histopathologically and immunologically via measuring proinflammatory cytokines, such as IL1β, IL6, and TNFα, in addition to measuring regulatory T-cell frequency. Results MCA was successfully loaded on BSA, achieving high encapsulation efficiency reaching 63±2%, particles size of 120–130 nm with good polydispersity, and a negative surface charge indicating that entire positively charged drug was encapsulated inside NPs. Differential scanning calorimetry thermography of selected NPs showed an obvious interaction between components and cross-linking of BSA molecules using glutaraldehyde, resulting in sustained release of MCA (around 50% within 3 days). MCA NPs significantly restored the immune response via decreasing proinflammatory cytokines and increasing regulatory T-cell frequency when compared to control and free MCA (drug not loaded in NPs)-treated groups. Histopathological examination of this MCA NPs-treated group did not show the characteristic lesions of diabetes, and apoptosis nearly disappeared. Conclusion BSA/MCA NPs could be considered a new modality for treatment of gastro-paresis, in addition to management of diabetes itself and preventing its complications via an MCA-immunomodulatory effect.
Visibility Convolutional Neural Networks for Label Distribution Learning of Facial Emotions

—Human emotion recognition from facial expressions depicted in images is an active area of research in computer vision and machine learning. Facial expressions depict emotions as a mix of basic emotions, each with a different intensity. Hence, measuring these intensities from facial expression images is a challenging task. Previous studies have solved this task by using label-distribution learning (LDL), which assigns a distribution of class intensities to an instance to describe the mix of emotions more explicitly. In this paper, we tackle this problem by proposing an LDL framework that predicts the intensities of six basic human emotions, i.e., happiness, sadness, anger, fear, surprise, and disgust , by using a novel convolutional (Conv) layer called the visibility convolutional layer (VCL). The VCL preserves the advantages of traditional Conv layers, in terms of using filters to extract features, while reducing the number of learnable parameters and allowing for the extraction of strong texture features. Our LDL framework, which we call VCNN-ELDL, uses the features extracted by the VCLs and those extracted by traditional Conv layers to predict a discrete distribution. We evaluate VCNN-ELDL on the widely-used s -JAFFE and s -BU-3DFE datasets. Our results show that our framework can effectively learn the distribution of emotions from face images by attaining a stronger performance than state-of-the-art LDL methods.
Social Proximity and the Erosion of Norm Compliance

We study how individuals' compliance with norms of pro-social behavior is influenced by other actors' compliance in a novel, dynamic, and non-strategic experimental setting. We are particularly interested in the role that social proximity among peers plays in eroding or upholding norm compliance. Our results suggest that social proximity is crucial. In settings without known proximity, norm compliance erodes swiftly because participants only conform to observed norm violations of their peers while ignoring norm compliance. With known social proximity, participants conform to both types of observed behaviors, thus halting the erosion of norm compliance. Our findings stress the importance of the broader social context for norm compliance and show that, even in the absence of social sanctions, compliance can be sustained in repeated interactions, provided there is group identification, as is the case in many social encounters in natural and online environments.
Effectiveness and Impact of Community Extension Program of One Philippine Higher Education Institution as Basis for Sustainability

: Extension is one of the key thrusts of higher education that complements instruction and research. It is an instrument that shapes cultures and plays an important role in knowledge building. The study aimed to assess the effectiveness and impact of the Community Extension program of one university that will serve as basis in developing strategies to sustain the community extension program of the university. Results of the study revealed that the effective community extension program is livelihood and entrepreneurship. Other community extension program on environmental clean-up/tree planting/waste management, computer literacy, health services and crime and drug prevention were less effective. The respondents assessed that livelihood and entrepreneurship program has moderate impact on the lives of the beneficiaries. However, other programs on crime and drug prevention, environment clean-up/tree planting/waste management, education and leadership, computer literacy and health services have less impact on improving the lives of the respondents in the community. There is a significant relationship between effectiveness and impact of community extension program in terms of health services program
Organizational Performance in State-Owned Companies in Indonesia

: The purpose of the research is to analyze the influence of transformational leadership and strategic organizational change management to organizational performance with organizational climate as mediating variable in the electricity state own Enterprises in Indonesia. This is a quantitative non-experiment research and using questionnaire with 1.429 respondents within divisions of PLN Head Quarter, and its subsidiaries and affiliates during October 2018 – January 2019. The analysis process is conducted by SPSS and LISREL. Research has found that transformational leadership style and strategic organizational change management, both separately and together have positive and significant influenceto organizational climatewith variable of strategic organizational change management has more dominant influence. Transformational leadership style, strategic organizational change management and organizational climate both separately and or together have a positive and significant influence to organizational performance, with variable organizational climate has more dominant influence.Leader should create an effective organizational climate to improve the influence of transformational leadership capability and change management to achieving excellent organizational performance. Mediating effect of organizational climate was a novelty / originality of the research, has significant and positive effect to improve the influence of transformational leadership style or strategic organizational change management to the organizational performance.This research conducted in one state own enterprise company Further research is expected to conduct on different industries /companies of state own enterprises or private company.
The Psychological Work Climate of Researchers: Gender, Nationality, and Their Interaction with Career Level and Care for Children in a Large German Research Organization

Purpose: This study examines the relationship between gender, nationality, care responsibilities for children, and the psychological work climate of researchers. Basic Design: Based on a dataset of approximately 2,900 cases, the main effects of gender and nationality, their interaction effect and the interaction effects of gender with care responsibilities for minor children, and with hierarchical position are considered in relation to work climate. Dummy re-gressions and t -tests were performed to estimate and compare the means and regression parameters of the perceived group climate and the view of leaders as evaluated by researchers. The dataset used was taken from a full survey of employees of the Max Planck Society, which is one of Germany’s largest research organizations with over 80 facilities and institutes in various disciplines and a focus on basic research. Results: Gender differences concerning the evaluation of the work climate are particularly pronounced among doctoral candidates and researchers who have a non-EU nationality. Gender gaps increasingly level out with Diversity and Discrimination in Research Organizations, 33–74
The Risk and Return of Equity and Credit Index Options ∗

We develop a structural credit risk model, which allows us to price equity/credit indices and their options through the asset dynamics of index constituents. We estimate the model via MLE and find that equity and credit index option prices are well explained out-of-sample. Contrary to recent empirical findings, the two option markets are not inconsistently priced through the lens of our model. Returns on both options, while extreme, do not indicate any evidence of mispricing. Our analysis suggests that jointly addressing the pricing of various instruments requires a balance between three sources of systematic risk: asset, variance, and jump risks.
Species composition and stand structure of Shorea stenoptera Burck in the Forest Area with Special Purposes (KHDTK) Haurbentes, Indonesia

The importance of preventing Shorea stenoptera in restoring sustainable forest management to maintain the existence of forests in the future, the reduction due to deforestation causes a decrease in land conventions. S. stenoptera Burck is a forest species native to Borneo, Sumatra, Thailand, and Malaysia. IUCN declared this species in the category of Near Threatened. This study aims to analyze the species composition, stand structure, and natural regeneration of S. stenoptera Burck and identify the biophysics effect on the regeneration performance of S. stenoptera in KHDTK Haurbentes. This research method uses vegetation analysis by constructing five observation areas. The results showed that S. stenoptera dominated at each growth stage. The stand structure shows an inverted J-curve. This indicates that the stands of S. stenoptera have turned into natural forest. The decrease in density followed the
Optimal rotation age of Populus deltoides considering economic value of timber harvesting and carbon sequestration

The aim of this research is to determine the optimal rotation age of Populus deltoides plantations regarding to the timber and carbon sequestration values in the north of Iran. Two plantation types with a tree density of 3 by 3 m and of 3 by 4 m were considered in Choobar forest, northern Iran. Net present value (NPV) of timber and carbon were used for determining the optimal rotation age. Data on volume increment, carbon content, revenue, timber and carbon prices were collected to estimate NPV. In this study, we considered the effects of different plantation cost, land value and discount rates on the optimal rotation ages. Our results indicated, if economic value of timber is considered, optimal rotation ages were 10 and 8 years for 3 by
Quantiﬁcation of Major Bacteria and Yeast Species in Keﬁr Consortia by Multiplex TaqMan qPCR

are not appropriate for deeper studies on keﬁr consortia, e.g., population dynamics and microbial interactions in keﬁr grains. This requires another sensitive and reliable quantitative method. Therefore, this study aims to develop multiplexed qPCR assays to speciﬁcally detect and quantify, as an example, several microorganisms of the milk keﬁr microbial community. Primer-probe sets, which target species-speciﬁc genes in six bacteria and ﬁve yeasts, were designed, and their sensitivity and speciﬁcity to the target species was analyzed in simplex as well as four multiplex qPCR assays. The self-designed multiplex assays were applied for the detection of target bacteria and yeast species in milk keﬁrs, in both, grain and beverage fractions. Detection of all target microorganisms in simplex and multiplex qPCR was achieved by good linearity, efﬁciency, repeatability and reproducibility in all assays. When the designed assays were applied on six keﬁrs, all target microorganisms were detected in different samples, but not all in one keﬁr sample. The two ubiquitous lactobacilli Lactobacillus keﬁranofaciens and Lb. keﬁri were present in all six keﬁrs studied, but were associated with different other yeasts and bacteria. Especially on the yeast community a signiﬁcant diversity was observed. In general, multiplex TaqMan qPCR as developed here was proven to have high potential for speciﬁc identiﬁcation of target microorganisms in keﬁr samples and for the ﬁrst time, eleven target bacteria and yeasts of keﬁr microbiota were rapidly detected and quantiﬁed. This study, thus, provides a fast and reliable protocol for future studies on keﬁr and other similar microbial ecosystems.
Theories Predicting End-User Acceptance of Telemedicine Use: Systematic Review

Background Only a few telemedicine applications have made their way into regular care. One reason is the lack of acceptance of telemedicine by potential end users. Objective The aim of this systematic review was to identify theoretical predictors that influence the acceptance of telemedicine. Methods An electronic search was conducted in PubMed and PsycINFO in June 2018 and supplemented by a hand search. Articles were identified using predefined inclusion and exclusion criteria. In total, two reviewers independently assessed the title, abstract, and full-text screening and then individually performed a quality assessment of all included studies. Results Out of 5917 potentially relevant titles (duplicates excluded), 24 studies were included. The Axis Tool for quality assessment of cross-sectional studies revealed a high risk of bias for all studies except for one study. The most commonly used models were the Technology Acceptance Model (n=11) and the Unified Theory of Acceptance and Use of Technology (n=9). The main significant predictors of acceptance were perceived usefulness (n=11), social influences (n=6), and attitude (n=6). The results show a superiority of technology acceptance versus original behavioral models. Conclusions The main finding of this review is the applicability of technology acceptance models and theories on telemedicine adoption. Characteristics of the technology, such as its usefulness, as well as attributes of the individual, such as his or her need for social support, inform end-user acceptance. Therefore, in the future, requirements of the target group and the group’s social environment should already be taken into account when planning telemedicine applications. The results support the importance of theory-guided user-centered design approaches to telemedicine development.