Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Affecting S-Commerce Adoption Among Micro And Small- And Medium Sized Enterprises In A Sub-Urban And Rural Economic Area

Social Commerce (S-Commerce) is the new wave of e-commerce in which it is mediated by social media and social networking services in order to promote online business and shopping-related information exchange. The aim of this study is to investigate the factors affecting S-commerce adoption among micro and Smalland Medium Sized Enterprises (SMEs) in suburban and rural areas in Kelantan. This study adopts Ahmad et al. (2015) S-Commerce Adoption Model (SCAM) to examine the relationship between technology, organizational and environmental elements toward S-Commerce adoption among micro and SMEs in Kelantan. Although there are many studies on factors affecting e-commerce adoption, there is little attention given on S-Commerce adoption. Insights on factors affecting S-Commerce is crucial for Micro and SMEs’ strategic planning in widening the target market and eliminating excessive cost and wasted time. In achieving the objectives of study, a quantitative approach is used. A random sampling technique is employed and a set of quantitative analyses has been used to analyse the data. A total of 381 micro businesses and SMEs have been selected for the sampling. From the findings, the study concludes that three factors (i.e. technology context, organization context and environment context) have correlations on the inclination of S-Commerce adoption among enterprises in sub-urban and rural areas in Kelantan.
Maternal Distress and Social Support Are Linked to Human Milk Immune Properties

Possible alterations of maternal immune function due to psychological stress may reflect immunoactive factor levels in breast milk. This study aimed to assess the association between maternal distress and breast milk levels of secretory IgA (SIgA), IgM, IgG, and lactoferrin (LF). We hypothesized that this association is moderated by maternal social support achieved from others during lactation. The study group included 103 lactating mothers and their healthy five-month-old infants. Maternal distress was determined based on the State Anxiety Inventory and the level of salivary cortisol. Social support was assessed using the Berlin Social Support Scales. Breast milk samples were collected to test for SIgA, IgM, IgG, and LF using the ELISA method. Milk immunoactive factors were regressed against maternal anxiety, social support, salivary cortisol, and infant gestational age using the general regression model. Maternal anxiety was negatively associated with milk levels of LF (β = −0.23, p = 0.028) and SIgA (β = −0.30, p = 0.004), while social support was positively associated with milk IgG (β = 0.25, p = 0.017). Neither anxiety nor social support were related to milk IgM. No association was found between the level of maternal salivary cortisol and immunoactive factors in milk. Our results suggest that maternal psychological wellbeing and social support may affect milk immune properties.
Realizability of tropical plane curves and tropical incidence geometry

Tropical plane curves are one of the building blocks in the study of tropical algebraic geometry. A lot of work has been done to understand and establish connections between tropical and classical algebraic geometry. The first step in this direction is to consider the case of smooth tropical curves. This in turn comes with a nice connection to lattice polytopes and their unimodular triangulations. This highly combinatorial setting helps to explore the algebrogeometric aspects of tropical curves by trying to find when a smooth tropical curve is realizable. This leads us to study the skeleton of a tropical curve, which is a metric graph that encodes the combinatorial information regarding the curve. Our main goal here is to understand the combinatorial nature of these skeletons and to try to find which graphs can occur as skeletons of smooth tropical plane curves, and in this way, we come up with certain obstructions which prevent a graph from being a skeleton of a tropical curve. We encounter a special class of lattice polytopes, namely panoptigons, which help us in identifying a new criterion for non-realizability of a graph as a skeleton. Having studied about smooth tropical planar curves, in the latter section we move on to the study of incidence of points and lines in the tropical plane and arrangements of tropical lines. In the light of recent results exploring tropical point-line incidence, we establish a tropical De-Bruijn Erdős theorem. We also study stable tropical lines and using projective duality in the tropical plane, we find dual results concerning stable intersections. Utilizing duality of tropical curves with subdivisions of Newton polytopes we also establish connections between point-line geometry and the faces of subdivisions of Newton polytopes. With tropical Sylvester-Gallai theorem and tropical De-Bruijn Erdős theorem, we discuss other results which have been obtained about point-line geometry in the tropical plane and beyond.
The Macroeconomic and Institutional Drivers of Stock Market Development: Empirical Evidence from BRICS Economies

The stock markets in the BRICS (Brazil, Russia, India, China and South Africa) countries are the leading emerging markets globally. Therefore, it is pertinent to ascertain the critical drivers of stock market development in these economies. The currrent study empirically investigates to identify the linkages between stock market development, key macro-economic factors and institutional factors in the BRICS economies . The study covers the time period from 2000 to 2017. The dependent variable is the country’s stock market development and the independent variables consist of six macroeconomic variables and five institutional variables. The study employs a panel cointegration test, Fully Modified OLS (FMOLS), a Pooled Mean Group (PMG) approach and a heterogeneous panel non-causality test.The findings of the study indicate co-integration among the selected variables across the BRICS stock markets. Long-run estimations reveal that five macroeconomic variables and four variables related to institutional quality are positive and statistically significant. Further, short-run causalities between stock market capitalization and selected variables are detected through the test of non-causality in a heterogeneous panel setting. The findings suggest that policymakers in the BRICS countries should enhance robust macroeconomic conditions to support their financial markets and should strengthen the institutional quality drivers to stimulate the pace of stock market development in their countries.
Steels, Stephanie and Simpson, Harriet (2017) Perceptions of Children in Residential Care Homes: A Critical Review of the Literature

In England, UK, there has been an overall decline in the use of residential care for children over the years. The aim of this systematic review was to review literature concerning children placed in residential care to investigate whether this setting can meet the often complex needs of children and to explore how residential care fits in the care system today. A comprehensive search strategy was used in nine electronic databases. Studies identified were independently assessed for eligibility by two authors using a set of inclusion and exclusion criteria. Data were extracted from the final set of studies using a data-extraction tool. A thematic analysis was then conducted. The findings of the review highlighted that residential care is an important part of the care system and can have both a positive and negative effect on children’s emotional, behavioural and social development, as well as their mental health and academic progress. The main recommendations from this systematic review are that staff should have further training in mental health awareness. Furthermore, there should be an increase in individual support for children, whilst attachments and bonds between staff and children should be enhanced and encouraged.
Impact of lactic acid bacteria and enzymes on the fermentation processes of sugarcane tops silage at a particular time interval

The objective of this study was to achieve the virtuous fermentation quality of the sugarcane tops silage by combining the most promising additives with the day of ensiling. Fresh sugarcane tops were ensiled in 3-L laboratory silos with enzymes (Cellulase+ Xylanase), enzymes plus Lactobacillus plantarum (C+X+LP), enzymes plus Lactobacillus fermentum (C+X+LF) and enzymes +Lactobacillus plantarum + Lactobacillus fermentum (C+X+LP+LF) for 15, 25, 35, and 45 days. Urea (0.5%) and molasses (1.5%) were added in all treatment groups. After storage, the silages were subjected to microbial and chemical analyses. Results from the present investigation denoted that, fresh sugarcane tops had a low fermentation coefficient (
Effect of Green Coffee Bean Extract on Steroid Hormones Synthesis, Blood Lipids and Body Weight in Rats

The aim of this study was to investigate the effect of Green coffee extract on body weight, blood lipids and steroid hormones synthesis on rats. The extracts of green and roasted coffee were prepared using Methanol 80%. 35 rats have been divided to 5 equal groups, the first group was fed by normal diet without supplementing and the other four groups were fed by high fat diet. The second groups was left without any supplementation while the third and fourth group were fed by 1 ml of green coffee extracts 0.5% and 1% respectively. The fifth group was supplemented by 1 ml of roasted coffee extract 1%. After 6 weeks the weight gain and food intake was calculated and the serum was taken to test blood lipids and ACTH, FSH, LH Hormones. The results showed that the supplementation by 1% Green coffee extract lead to significant decrease in blood lipids and cholesterol, Also it showed significant increase in FSH hormone comparing by other groups. While there is no difference between all groups in ACTH and LH hormones. Supplementation by roasted coffee extract show better effect on blood lipid profile without affecting FSH level. Coffee analysis showed that the roasting process may lead to liberation of caffeine and decrease in chlorogenic acid content with no difference in phenol content.
Stigma and Discrimination on People Living with HIV (PLHIV): a Systematic Review

ABSTRACTIntroduction:Human Immunodeficiency Virus (HIV) is a global health problem that is almost recorded in every country. The long-term and long-term negative impacts of HIV cases are stigma and discrimination in people with HIV (PLHIV). The purpose of this study is to find out the stigma and discrimination felt by PLHIV.Method:This study design of systematic review from 4 electronic databases namely Scopus ScienceDirect, Sage and ProQuest by using keywords tailored to Medical Subject Headings (MeSH) including "Stress", "covid", "nursing", "hospital". This study uses PICOS framework to prevent research bias and analysed using descriptive analysis.Results:The results of the analysis of the article showed from 761 articles have been identified title, abstract and full-text so that recorded 15 articles that can be reviewed. The article consists of various designs, namely RCT, cross sectional and qualitative studies. Analysis shows that stigma and discrimination are social phenomena that manifest in several social areas.Conclusion:Stigma and discrimination in people with HIV (PLHIV) is still common, stigma is carried out by the wider community to their own families. The family approach is necessary to improve well-being as well as improve the social community of the family.
Managing Cultural Heritage Festivals towards Sustainable Tourism Development: The Aegean Methexis Festival in Andros Island

Purpose: The purpose of this paper is to address the contribution of the “Aegean Methexis” festival to raising awareness of Andros’ rich cultural heritage and building social bonds for locals and tourists, as well as attracting cultural tourists and providing opportunities for development to local tourism-related businesses. Design/methodology/approach: The research methodology was formed on the basis of deepening into the festival experience of locals and visitors and its impact on tourism sustainability. The paper opted for an exploratory study using both quantitative and qualitative methodology. Primary data was collected via: a. 58 online questionnaires addressed to festival participants; and b. participant observation during a six-month period. Findings: The paper provides empirical insights about how festival participants perceive their experience in connection to cultural heritage and tourism. Findings consolidate that the festival provides a unique platform combining entertainment and familiarity with Andros’ rich cultural heritage based on a cognitive model experience. Participants seem to connect their experience with further tourism engagement in more authentic aspects of the island while seem to seize the opportunity for cultural interaction and building stronger social bonds with the local community. All the stakeholders warmly supported the festival, due to its contribution to cultural heritage awareness and tourism product enrichment. Originality/value: The study fulfils an identified need to study how the “Aegean Methexis” festival may act as a catalyst for sustainable tourism development, how the destination can benefit from similar events, and how to employ them as original branding tools of Andros.
IMPACT OF PERCEIVED BUSINESS RISK ON ORGANIZATION PERFORMANCE: AN INTEGRATED RISK MANAGEMENT FRAMEWORK BASED ON INTERNAL CONTROLS

The objective of this study is to investigate the mediating role of risk management between the perceived business risk and organization. To examine the proposed model of this study data was collected from the manager having at least 5 years’ experience in finance department or risk management department. Stratified sampling technique were used to collect data in this study. Two hundred and four (204) out of three hundred and eighty four (384) distributed questionnaire were received. To analyze the hypothesis, structural equation modeling (SEM) employed in this study to investigate the mediating role of risk management. The results of study reveal that perceived business risk have significant and positive impact on the formalization of risk management, internal controls and organization performance. Further to this, results also found that formal risk management methods and internal controls mediate between the perceived business risk and organization performance. It means that respondent perceived higher organization performance with formalized risk management methods and strong internal controls against the perceived business risk. This result may be generalized to other listed companies at PSX.
NBA Lineup Analysis on Clustered Player Tendencies: A new approach to the positions of basketball & modeling lineup efficiency of soft lineup aggregates

Basketball has recently been considered more of a “position-less” sport. Traditionally, the five positions of basketball are point guard, shooting guard, small forward, power forward, and center. However, most NBA players have skills, styles, and preferences that cannot be defined by a single traditional position. With ten seasons (2009-2018) of NBA player stats [1] that account for a player’s efficiency, opportunity, and tendencies, we were able to implement unsupervised machine learning techniques to create a framework for how NBA playing styles can be clustered on the court and used for strategic decision making when building rosters and creating lineup rotations. These player clusters can be considered new positions, and they give more accurate and detailed insight to what role a player possesses when on the court and how effective he could be in that role. Our unique methods give players a soft assignment for all clusters, that is, a probabilistic weighting onto each of the clusters indicating their likelihood of specific cluster fit. After analyzing the distribution of the various player stats within each new position, we were able to generate a player role for each cluster. Previous work [2,3] has also clustered NBA players into new positions. However, our methods incorporate different approaches of unsupervised machine learning, and offers an extension to the player clustering by additionally investigating the lineup efficiencies of different combinations of these new positions, playing on the basketball court together in collaboration. Our work offers a more specific way for people to consider player types and positions in the NBA. It also provides insight into which combination of player types yield the most effective basketball performance. This can be beneficial to NBA front offices when acquiring and developing talent, as well as coaches when making in-game lineup decisions. Our models also contain a predictive component where we have the ability to predict the net rating of a potential lineup. As we have recently witnessed a massive change in playing style by most of the NBA (i.e. The Three Point Era), our work provides a more accurate approach for people to analyze and understand the roles, responsibilities, and combinations of specific groups of players in the NBA.
Training the neural network

This paper continues the quest for designing the optimal physics bias for neural networks predicting the dynamics of systems when the underlying dynamics shall be inferred from the data directly. The description of physical systems is greatly simpliﬁed when the underlying symmetries of the sys-tem are taken into account. In classical systems described via Hamiltonian dynamics this is achieved by using appropriate coordinates, so-called cyclic coordinates, which reveal conserved quantities directly. Without changing the Hamiltonian, these coordinates can be obtained via canonical transformations. We show that such coordinates can be searched for automatically with appropriate loss functions which naturally arise from Hamiltonian dynamics. As a proof of principle, we test our method on standard classical physics systems using synthetic and experimental data where our network identiﬁes the conserved quantities in an unsupervised way and ﬁnd improved performance on predicting the dynamics of the system compared to networks biasing just to the Hamiltonian. Eﬀectively, these new coordinates guarantee that motion takes place on symmetry orbits in phase space, i.e. appropriate lower dimensional sub-spaces of phase space. By ﬁt-ting analytic formulae we recover that our networks are utilising conserved quantities such as (angular) momentum.
The Influence Of Emotional Intelligence On The Political Behaviour Of Students

This paper discusses the importance of strengthening emotional intelligence (EI) among youths to achieve more integrated human domains. Human capital resources targeting youths are one of the main thrusts of national development in Malaysia especially from the political, economic, social and educational aspects. The main purpose of this study was to test the presence of and the significance (if any) of the relationship between EI competence and the constructs determining youths’ political behaviour. A total of 313 students from four public universities in Malaysia were selected as the sample. The Emotional Intelligence Self-Description Inventory (EISDI), and Political Behaviour Questionnaire (PBQ) were used to obtain data which was analysed using correlation and regression analysis. The findings showed that the two hypotheses were accepted, i.e. there is a correlation between EI with political behaviour which significantly influenced EI on the constructs of political behaviour namely conservativism and nationalism. Hence, EI can be construed to be a determining factor in behaviour and ideology that signifies political maturity among Malaysian youth. © 2018 Published by Future Academy www.FutureAcademy. org.UK
Comparison of quality properties and identification of acetic acid bacteria for black waxy rice vinegar

This study was carried out to investigate the quality characteristics and identification of acetic acid bacteria for black waxy rice vinegar. Eight (8) strains of acetic acid bacteria were isolated for the production of acetic acid and their acidities were then compared with commercial acetic acid bacteria. Among them, F1, H4, and two types of commercial bacteria (four best strains by vinegar zymogen) were selected. After analyzing the 16S rRNA sequence, both F1 and H4 strains were identified as acetobacter genus. Therefore, the F-1 and H-4 strains were named as Acetobacter sp. F-1 and Acetobacter sp. H-4, respectively. Acidity of black waxy rice vinegar during fermentation was steadily increased up to 16 days and the acidity was then constant. Total acidity content was higher when used FV-1 strain. In the results of Hunter`s color value of black waxy vinegar, L value was at 75.01 to 80.11, while (+a) value was at 3.34 to 3.92, and (+b) value was at 12.84 to 18.09. The major organic acid of the black waxy vinegar was acetic acid. The total organic acid content was high when used H-4, F-1, C-2 and C-1 strains. The total free amino acid content of the black waxy vinegar by strain was the highest (351.43 mg%) of F-1 vinegar strain, and the lowest (247.74 mg%) of C-2 vinegar strain. A sensory evaluation of black waxy vinegar indicated that F-1 vinegar strain was better than the other samples in aspect of flavor, color, and overall preference.
Polyester membranes as 3D scaffolds for cell culture

The study presents two types of three-dimensional membranes made of the biodegradable copolymer. They were obtained by the wet-phase inversion method using different solvent and pore precursors. In one case, a nonwoven made of gelatin and polyvinylpyrrolidone (PVP) as precursors of macropores and small pores, respectively, were used. In the second case, PVP nonwovens and Pluronic were used properly for macroand micro-pores. As the material, a biodegradable poly(Llactide-co-ε-caprolactone) is composed of 30% ε-caprolactone and 70% poly(L-lactic acid) was used. Depending on the pore precursors, different membrane structures were obtained. The morphology of pores was studied using the MeMoExplorerTM, an advanced software designed for computer analysis of the scanning electron microscopy images. The scaffolds were degraded in phosphatebuffered saline and Hank’s balanced salt solutions at 37°C. Moreover, the porosity of the membranes before and after hydrolysis was calculated.
Protective effect of L-carnitine and vitamin E on gastrointestinal tract organs on male rats post radiation exposure

Background: Although ionizing radiation is a risk factor, it is a therapeutic agent for cancer. Objectives: The protective and defensive effect of L-Carnitine and vitamin E on gastrointestinal tract organs (liver, spleen and intestine) post whole body gamma irradiation exposure. Material and methods: 56 male albino rats, which were divided into four groups (14 rats per group); group (I): Control group, group (II): rats were irradiated with a single dose of whole body gamma rays (6 Gy) and left 4 weeks. Group (III): rats were given LCarnitine for five days, then irradiated by same dose. Group (IV): rats were received LCarnitine and vitamin E for five days then irradiated by same dose. At 1 and 4 weeks post radiation exposure, seven rats from each group were scarified, blood and GIT tissue samples were collected. Results: Liver and blood samples: radiation related degenerative damage was obviously higher in the radiation group than the control group with elevated liver enzymes, however pretreatment groups revealed reduced radiation induced acute liver damage compared to the radiation group with significant improvement in liver enzymes. Spleen and intestinal samples: radiation induced damage were significantly higher in the radiation group versus the control group, however, in pre-treatment groups no significant improvement in radiation induced effects were noted compared with radiation group. Conclusion: A great radio protective effect of both Lcarnitine and vitamin E after radiation exposure mainly in liver tissue and its enzymes but not in both spleen and intestinal tissue.