Miracle-dz/UniFAR-FTUs huggingface dataset:
Employee Intention to Stay: An Environment Based on Trust and Motivation

An organization effort to recognize the reasons for employee retention can serve to keep turnover down. No matter what industry it is essential to comprehend what the employees think and sense about the organization and the working culture. A supportive and positive work environment instilled by motivation and trust strengthens the connection between an organization and employee. When organizational leaders naturally respect employees as more than mere work resources, employees reach a high level of performance and will continue with the organization longer. The primary objective of this study was to recognize and promote the factors of trust and motivation influencing a positive working environment and employees intentions to stay with the organization. The study aims to determine elements of employee intent to stay and contribute to the growing body of literature on the significance of trust, motivation and positive working environment.
Plasma membrane phospholipase A2 controls hepatocellular fatty acid uptake and is responsive to pharmacological modulation: implications for nonalcoholic steatohepatitis

Excess hepatic fat accumulation leads to nonalcoholic steatohepatitis (NASH), a serious threat to health for which no effective treatment is available. However, the mechanism responsible for fatty acid uptake by hepatocytes remains unclear. Using the human hepatocyte‐derived tumor cell line HepG2, we found that fatty acid influx is mediated by a heterotetrameric plasma membrane protein complex consisting of plasma membrane fatty acid‐binding protein, caveolin‐1, CD36, and calcium‐independent membrane phospholipase A2 (iPLA2β). Blocking iPLA2β with the bile acid‐phospholipid conjugate ursodeoxycholate‐lysophosphatidylethanolamide (UDCA‐LPE) caused the dissociation of the complex, thereby inhibiting fatty acid influx (IC50 47 μM), and suppressed the synthesis of all subunits through a reduction in lysophosphatidylcholine from 8.0 to 3.5 μmol/mg of protein and corresponding depletion of phosphorylated c‐Jun N‐terminal kinase. These findings were substantiated by an observed 56.5% decrease in fatty acid influx in isolated hepatocytes derived from iPLA2β‐knockout mice. Moreover, steatosis and inflammation were abrogated by UDCA‐LPE treatment in a cellular model of NASH. Thus, iPLA2β acts as an upstream checkpoint for mechanisms that regulate fatty acid uptake, and its inhibition by UDCA‐LPE qualifies this nontoxic compound as a therapeutic candidate for the treatment of NASH. —Stremmel, W. , Staffer, S. , Wannhoff, A. , Pathil, A. , Chamulitrat, W. Plasma membrane phospholipase A2 controls hepatocellular fatty acid uptake and is responsive to pharmacological modulation: implications for nonalcoholic steatohepatitis. FASEB J. 28, 3159–3170 (2014). www.fasebj. org
Extractive Summarization Using Multi-Task Learning with Document Classification

The need for automatic document summarization that can be used for practical applications is increasing rapidly. In this paper, we propose a general framework for summarization that extracts sentences from a document using externally related information. Our work is aimed at single document summarization using small amounts of reference summaries. In particular, we address document summarization in the framework of multi-task learning using curriculum learning for sentence extraction and document classification. The proposed framework enables us to obtain better feature representations to extract sentences from documents. We evaluate our proposed summarization method on two datasets: financial report and news corpus. Experimental results demonstrate that our summarizers achieve performance that is comparable to state-of-the-art systems.
Information Transparency, Decision Making Quality and Firm Profitability: Evidence from Thai Listed Firms

Abstract This paper aims at examining the effects of information transparency on decision making quality and firm profitability of Thai listed firms through governance mechanism as a moderator. In this paper, 143 listed-firms in Thailand are the samples of the paper. The results indicate that information transparency has a positive effect on decision making quality. Decision making quality has a positive influence on firm profitability. Also, decision making quality is the mediator of the information transparency-firm profitability relationships. Likewise, governance mechanism is the moderator of the information transparency-decision making quality relationships. Then, the executives of organizations should support organizational resources and pay attention and search for guidelines in developing more transparent information. Theoretical and managerial contributions, conclusion and suggestions and directions for future research are highlighted. Keywords : Information Transparency, Decision Making Quality, Governance Mechanism, Firm Profitability
OH (1720 MHz) Masers as Signposts of Molecular Shocks

We present observations of molecular gas made with the 15 m James Clark Maxwell Telescope toward the sites of OH (1720 MHz) masers in three supernova remnants: W28, W44, and 3C 391. Maps made in the 12CO J = 3-2 line reveal that the OH masers are preferentially located along the edges of thin filaments or clumps of molecular gas. There is a strong correlation between the morphology of the molecular gas and the relativistic gas traced by synchrotron emission at centimeter wavelengths. Broad CO line widths (ΔV = 30-50 km s-1) are seen along these gaseous ridges, while narrow lines are seen off the ridges. The ratio of H2CO line strengths is used to determine temperatures in the broad-line gas of 80 K, and the 13CO J = 3-2 column density suggests densities of 104-105 cm-3. These observations support the hypothesis that the OH (1720 MHz) masers originate in postshock gas, heated by the passage of a supernova remnant shock through dense molecular gas. From the observational constraints on the density, velocity, and magnetic field, we examine the physical properties of the shock and discuss the shock production of OH. These OH (1720 MHz) masers are useful "signposts" that point to the most promising locations to study supernova remnant/molecular cloud interactions.
Pokémon GO Forensics: An Android Application Analysis

As the geolocation capabilities of smartphones continue to improve, developers have continued to create more innovative applications that rely on this location information for their primary function. This can be seen with Niantic’s release of Pokemon GO, which is a massively multiplayer online role playing and augmented reality game. This game became immensely popular within just a few days of its release. However, it also had the propensity to be a distraction to drivers, resulting in numerous accidents, and was used as a tool by armed robbers to lure unsuspecting users into secluded areas. This facilitates the need for forensic investigators to be able to analyze the data within the application in order to determine if it may have been involved in these incidents. Because this application is new, limited research has been conducted regarding the artifacts that can be recovered from the application. In this paper, we aim to fill the gaps within the current research by assessing what forensically-relevant information may be recovered from the application and understanding the circumstances behind the creation of this information. Our research focuses primarily on the artifacts generated by the Upsight analytics platform, those contained within the bundles directory and the Pokemon Go Plus accessory. Moreover, we present our new application-specific analysis tool that is capable of extracting forensic artifacts from a backup of the Android application and presenting them to an investigator in an easily-readable format. This analysis tool exceeds the capabilities of the well known mobile forensic tool Cellebrite’s UFED (Universal Forensic Extraction Device) Physical Analyzer in processing Pokemon GO application data.
A new unsupported upper limb exercise test for patients with chronic obstructive pulmonary disease.

UNLABELLED PURPOSE This study aimed to develop a new unsupported upper limb exercise test (UULEX) for patients with chronic obstructive pulmonary disease (COPD). METHODS The reproducibility of the UULEX was assessed in nine patients with COPD who performed the test on three occasions. A comparison of the UULEX and a supported incremental upper limb exercise test (SULEX) using an arm ergometer also was performed with 18 patients who had COPD. RESULTS There were no significant differences in the maximum values for each cardiorespiratory variable and sensation of dyspnea between the three repetitions of the UULEX, and all the variables showed high reproducibility. During the supported test, maximum values for the cardiorespiratory variables were significantly higher, but the ratio of minute ventilation to carbon dioxide output was lower than during the unsupported exercise test. There were significant correlations for cardiorespiratory responses, arm muscle fatigue, and sensation of dyspnea between the two tests. CONCLUSIONS The findings suggest that the new UULEX test is a reproducible and acceptable exercise test for patients with COPD that can be used as a simple method to evaluate upper limb function in these patients. Further studies are required to determine the external validity of the test and its sensitivity to interventions such as pulmonary rehabilitation.
CRE : An Automatic Citation Record Extractor for Publication List Pages

Today a huge amount of researchers’ publication list pages are available on the Web, which could be an important resource for many value-added applications, such as citation analysis and academic network analysis. How to automatically extract citation records from those publication list pages is still a challenging problem because many of those pages are crafted manually by researchers themselves, and the layouts of those pages could be quite different according to different researchers’ affinities. In this paper, we propose a system, called the Citation Record Extractor (CRE), to automatically extract citation records from publication list pages. Our key idea is based on two observations form publication list pages. First, citation records are usually presented in one or more contiguous regions. Second, in the form of HTML structure, citation records are usually presented by using similar tag sequences and organized under a common parent node. Our system first identifies candidate common style patterns (CSPs) within pages in the DOM tree structure, and then filters out irreverent patterns by using a classifier which is based on the length distribution of citation records. Experimental results show that our method can perform well on real dataset with precision and recall at 80.4 % and 83.7% respectively, and provides more that 80% of F-measure for a majority of (around 90%) of the publication list pages in the real world.
IR2s: interactive real photo to Sumi-e

We propose an interactive sketch-based system for rendering oriental brush strokes on complex shapes. We introduce a contour-driven approach; the user inputs contours to represent complex shapes, the system estimates automatically the optimal trajectory of the brush, and then renders them into oriental ink paintings. Unlike previous work where the brush trajectory is explicitly provided as input, we automatically estimate this trajectory from the outline of the shapes to paint using a three-stages algorithm; first complex shapes are decomposed into elementary shapes that can be rendered with a single brush stroke. Second, we formulate the optimal brush trajectory estimation as the minimization of an energy function that measures the quality of the trajectory constrained by the variation along a stroke of the painting process parameters, such as the footprint position, size, orientation, and angular velocity. Finally, the estimated trajectories are rendered into brush strokes by mapping footprint textures scanned from real images. We combine the proposed framework with an interactive segmentation in order to convert real images into Oriental ink paintings. Experiments on complex shapes show that the proposed contour-based approach produces a large variety of strokes compared to trajectory-based approaches. It is particularly suitable for converting real images into Oriental ink paintings with minimum interaction.
Creative People as a New Source of Competitive Advantage in Creative Industry

Today’s development of creative industries in the economy of Indonesia has shown a significant improvement. Creative industries have contributed in improving the growth of Gross Domestic Product (GDP), employment opportunities, and national industries. Unfortunately, those improvements are not in line with their internal developments. The purpose of this study is to find the answer of the gap phenomenon that occured. It is found that only three sub-sectors out of 15 have positive contributions as mentioned above. They include craft, fashion, and culinary. Primary data were obtained through a questionnaire survey and observation carried out in batik and woven-fabric business units in 6 provinces in Indonesia. By conducting survey as the research methodology in which the data were evaluated using statistic tools such as SPSS and AMOS 20, it is found that creative people as renewable resources have been able to improve Indonesia competitive advantage in crafts industries by reflecting local culture and heritage through creativity on various innovations.
Proper Name Translation in Cross-Language Information Retrieval

Recently, language barrier becomes the major problem for people to search, retrieve, and understand WWW documents in different languages. This paper deals with query translation issue in cross-language information retrieval, proper names in particular. Models for name identification, name translation and name searching are presented. The recall rates and the precision rates for the identification of Chinese organization names, person names and location names under MET data are (76.67%, 79.33%), (87.33%, 82.33%) and (77.00%, 82.00%), respectively. In name translation, only 0.79% and 1.11% of candidates for English person names and location names, respectively, have to be proposed. The name searching facility is implemented on an MT sever for information retrieval on the WWW. Under this system, user can issue queries and read documents with his familiar language.
The Impact of Information and Communications Technology on Supply chain management in South Indian Small-scale grocery sector

The study revealed that the small-scale grocery sector has various challenges such as implementation and maintenance cost concerns, lack of technical literacy and skills, security issues, changing role of employees, etc. in relation to ICT’s use in managing supply chain operations. From the findings of the study it was discovered that the impact of ICT in supply chain management which has been observed in various aspects such as increased transparency of supply operations, efficiency, cost reductions, real time information access, products tracking, communication, coordination, relationship among internal and external supply chain participants. The results from the primary analysis revealed some positive impacts by the use of ICT in planning, logistics tracking and product delivery in the supply chain of grocery firms. Based on the findings, some recommendations are made for small scale grocery firms in southern parts of India. The purpose of this study was to investigate the impact of ICT on supply chain management in south Indian small-scale grocery sector. There are certain reasons for choosing South India, one of the main reasons is India being a vast country with thousands of small-scale grocery shops, it will be difficult to find one participant from each place, so the study was focused to southern parts of India. The methodology for this study followed a qualitative study design. The primary data were drawn from qualitative technique, an interview method from different companies operating in the small-scale sector in grocery business. The secondary research was done through literature review to obtain secondary data to develop theoretical understanding of the study topic and objectives. The secondary data obtained have supported the findings of the primary data to a great extent.
Design of Metglas/polyvinylidene fluoride magnetoeletric laminates for energy harvesting from power cords

We describe energy harvesting from power cords using flexible magnetoelectric (ME) laminate. ME laminate consisted of Metglas magnetostrictive layer and polyvinylidene fluoride (PVDF) piezoelectric layers in sandwich configuration. Laminates of different lengths were wrapped around the power cords in two ways: on the outer layer of cord and on the inner layer of the cord obtained by peeling-off the outer layer. It was found that the laminate provided ∼16mV higher output voltage when wrapped around the inner layer of cord. An output voltage of 303mV was obtained from flexible energy harvester with 267mm in length wrapped around the inner layer of power cord.
Early Stage of Sustainability Reporting: Case Study from the Czech Tobacco Industry

The aim of this article is to examine the potentially controversial role of sustainability reporting in the tobacco industry and to see how the selected company reacted to the new EU Directive 2014/95/EU on non-financial reporting. The key findings are: (1) The company was actively preparing for sustainability reporting even before the new regulation came into force. (2) The parent company was concerned about the impact of its activities on stakeholders including the local community. (3) Financial donations became less popular through the years. (4) The company states that it cares about the health of its customers, the working environment, and the labour conditions of its suppliers. Even though the company operates as part of a controversial industry, it is trying to convince stakeholders, using its reporting style, that it is socially and environmentally responsible.
The relative impact of corporate reputation on consumer choice: beyond a halo effect

ABSTRACT Previous work suggests that corporate reputation generates a ‘halo effect’ where products from companies with better reputations are more likely to be chosen. We argue that corporate reputation plays a more expansive role, proposing that consumers will be less price-sensitive to offerings endorsed by companies with good reputations and that it moderates the marginal utility of product features with high clarity. We also propose that an individual’s knowledge of a company increases the likelihood its products will be purchased. Using a choice model incorporating an individual SEM-based reputation measure, we find support for these hypothesised effects in the context of television choices. The results suggest that corporate reputation warrants more attention by marketing managers to increase preferences for their products through these mechanisms.
Face Behind Makeup

In this work, we propose a novel automatic makeup detector and remover framework. For makeup detector, a locality-constrained low-rank dictionary learning algorithm is used to determine and locate the usage of cosmetics. For the challenging task of makeup removal, a locality-constrained coupled dictionary learning (LC-CDL) framework is proposed to synthesize non-makeup face, so that the makeup could be erased according to the style. Moreover, we build a stepwise makeup dataset (SMU) which to the best of our knowledge is the first dataset with procedures of makeup. This novel technology itself carries many practical applications, e.g. products recommendation for consumers; user-specified makeup tutorial; security applications on makeup face verification. Finally, our system is evaluated on three existing (VMU, MIW, YMU) and one own-collected makeup datasets. Experimental results have demonstrated the effectiveness of DL-based method on makeup detection. The proposed LC-CDL shows very promising performance on makeup removal regarding on the structure similarity. In addition, the comparison of face verification accuracy with presence or absence of makeup is presented, which illustrates an application of our automatic makeup remover system in the context of face verification with facial makeup.
Glial expression of estrogen and androgen receptors after rat brain injury

Estrogens and androgens can protect neurons from death caused by injury to the central nervous system. Astrocytes and microglia are major players in events triggered by neural lesions. To determine whether glia are direct targets of estrogens or androgens after neural insults, steroid receptor expression in glial cells was assessed in two different lesion models. An excitotoxic injury to the hippocampus or a stab wound to the parietal cortex and hippocampus was performed in male rats, and the resultant expression of steroid receptors in glial cells was assessed using double‐label immunohistochemistry. Both lesions induced the expression of estrogen receptors (ERs) and androgen receptors (ARs) in glial cells. ERα was expressed in astrocytes immunoreactive (ERα‐ir) for glial fibrillary acidic protein or vimentin. AR immunoreactivity colocalized with microglial markers, such as Griffonia simplicifolia lectin‐1 or OX‐6. The time course of ER and AR expression in glia was studied in the stab wound model. ERα‐ir astrocytes and AR‐ir microglia were observed 3 days after lesion. The number of ERα‐ir and AR‐ir glial cells reached a maximum 7 days after lesion and returned to low levels by 28 days postinjury. The studies of ERβ expression in glia were inconclusive; different results were obtained with different antibodies. In sum, these results suggest that reactive astrocytes and reactive microglia are a direct target for estrogens and androgens, respectively. J. Comp. Neurol. 450:256–271, 2002. © 2002 Wiley‐Liss, Inc.
Statistical Applications in Genetics and Molecular Biology An Alternative Model of Type A Dependence in a Gene Set of Correlated Genes

Klebanov et al. (2006) proposed a new type of stochastic dependence, Type A dependence, between gene expression levels. They estimated the abundance of Type A pairs by testing the correlation coefficients of gene pairs. We propose a new model, hidden regulator dependence, as an alternative to Type A dependence. We show that the correlation based procedure proposed by Klebanov et al. (2006) fails to differentiate hidden regulator dependence from Type A dependence, although their probabilistic structures are quite different.
Predicting drug-target interaction networks of human diseases based on multiple feature information.

AIM Drug-target interaction is crucial in the drug design process. Predicting the drug-target interaction networks of important human diseases can provide valuable clues for the characterization of the mechanism of action of diseases. MATERIALS & METHODS A new graph-based semisupervised learning (GBSSL) method is proposed to predict the drug-target interaction networks involved in 13 types of diseases. According to the method, each drug-target pair is initially described with different biological features including sequence, structure, function and network topology information. Then, the optimal feature selection procedures based on the relief and minimum redundancy maximum relevance are executed, respectively. Finally, unknown drug-target interactions can be predicted by the GBSSL method effectively. RESULTS The proposed method can effectively predict drug-target interactions (with a receiver operating characteristic score of 94.8% and a precision-recall score of 76.5%). CONCLUSION Compared with the existing methods, the GBSSL method provides an efficient means of generating optimal features obtained from the combination of multiple sources of feature information.