Miracle-dz/UniFAR-FTUs huggingface dataset:
How Perceived Individual Safety Attitude Helps to Explain The Relationship Between Sensation Seeking and Risk-Taking Propensity in The Prediction of Individual Work Performance

Understanding the attitudes of individuals toward safety is important for hospital prevention programs and could reduce safety-related accidents. This study investigates the effects of perceived individual safety attitude in explaining the relationship between sensation seeking and risk-taking propensity for rewards in predicting individual performance. An on-line cross-sectional study was undertaken in which 177 nurses who completed an objective task (BART) and self-report questionnaires. Path analysis results revealed that perceived individual safety attitude influenced the relationship between both sensation seeking and risk-taking propensity in predicting individual performance. Nurses with both sensation seeking and risk-taking propensity for rewards have negative perceptions toward individual safety attitude, which resulted in poor individual work performances. It is indicated that encourage performance by rewards is not always effective.
A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems

The rapid demand for memory and computational resources by the emerging complex applications requires multi-core parallel systems capable to scale the execution of these applications. In this paper, we propose a distributed graph-theoretic framework for automatic parallelization in multi-core systems, where the goal is to minimize the data communication while accounting for intrinsic functional interdependence and balancing the workloads among cores to improve the overall performance. Specifically, we design a general and flexible greedy-based vertex cut framework for partitioning LLVM IR graphs into clusters while taking into consideration the data communication and workload balance among clusters. Then, we map the clusters generated by the vertex cut algorithms onto a non-uniform memory access multi-core platform. Experimental results demonstrate that our proposed WB-Libra algorithm provides performance improvements of 1.56x and 1.86x over existing state-of-the-art approaches for 8 and 1024 clusters running on a multi-core platform, respectively.
I hope, one day, I will have the right to speak

Situated at the intersection of digital migration studies, social movement studies and critical citizenship studies, this article explores how people on the move (migrants, refugees) in Libya use digital media to raise rights violations and to challenge European Union (EU) policies and UN High Commissioner for Refugees (UNHCR) practices. To examine how digital media provide a ‘space of appearance’ for people on the move in Libya, the study presents a qualitative thematic analysis of 49 posts and 986 comments published on the official Facebook page of UNHCR Libya between January 2018 and January 2019. Major themes include criticisms of UNHCR services and EU policies as well as the raising of human rights issues surrounding detention and evacuation. The findings contribute to a deeper understanding of how digital media enable people on the move to raise rights claims, contest official narratives and become active narrators of their individual struggles with the system of control and exclusion that is so deeply embedded in the discourse of securitized humanitarian care at Europe’s border. At the same time, it highlights how issues of digital access and communicative capacity influence visibility and self-expression in the digital space of appearances.
The Mediating Role of Creativity in the Influence of the Entrepreneurial Mindset on Corporate Entrepreneurship

Entrepreneurship is one of our economy's most significant component and a skill that is taken into account when starting a business or even when striving to be an excellent worker. The purpose of this research is to evaluate the role that creativity in the northern Jordanian banks plays in the relationship between the entrepreneurial mindset and corporate entrepreneurship. The sample consists of 363 bank employees from various departments. They were conveniently selected and analysed by Structural Equation Modeling (SEM). Results showed that creativity has a positive and significant impact on the relationship between the entrepreneurial mindset and corporate entrepreneurship. The results also showed that the entrepreneurial mindset had a significant and positive impact on corporate entrepreneurship. According to the research results it was recommended that: All bank employees need to work on an entrepreneurial strategy at their various levels and roles in positions of responsibility in the fundamental concepts, associated with methods of the entrepreneurial mindset in terms of enhancing their operations to provide their clients with a successful and modern service.
MeMYB26, a drought-responsive transcription factor in cassava (Manihot esculenta Crantz)

Cassava (Manihot esculenta Crantz) is worldwide the sixth-largest food crop and highly drought resistant. The expression of the myeloblastosis (MYB) family protein MeMYB26 in cassava was previously reported to be significantly up-regulated under water deficit. To study the basic characterization, natural variations and potential functions of MeMYB26 for drought resistance in cassava, the protein was subjected to bioinformatics analysis, multiplexPCR with next-generation sequencing and candidate association studies. The results indicated that MeMYB26 is a typical transcription factor, with two MYB DNA-binding and transcriptional activation domains. One stop-gained and five nonsynonymous variations in the genomic region of MeMYB26 were significantly associated with drought resistance traits. The results of the scale-free coexpression network showed that the MeMYB26 gene plays a critical role in plant stress resistance, growth and biomass development. It was concluded that MeMYB26 is a reliable candidate gene associated with drought tolerance and biomass storage in cassava.
KEY SUCCESS FACTORS IN MANAGING COVID-19 OUTBREAK: ROLE OF THE DEFENCE FORCES OF SRI LANKA

COVID-19 has caused a worldwide pandemic due to severe acute respiratory syndrome. Sri Lankan government urged the general public to practice correct hygiene methods to safeguard from this disease. Defence Forces of Sri Lanka is playing many roles in the fight against COVID-19 and this research is an overview of the contribution they have made towards battling the COVID-19 successfully. The purpose of this research is to identify the effectiveness of the measures taken by the Sri Lankan government and the Defence forces to stop COVID-19 spreading, which will provide an example for other countries to follow during similar outbreaks. This research is a qualitative study mainly undertaken with content analysis of the information extracted from secondary data. Selected conversations were also conducted with key personnel of the Defence forces to obtain an in depth understanding and to clarify the accuracy of the results. The key contributions made by the Ministry of Defence along with the Sri Lanka Army (Army), Sri Lanka Navy (Navy) and Sri Lanka Air Force (SLAF) were identified and recommendations are made which includes methods to adopt when dealing with COVID-19 in the future.
Assessing and protecting the mental health of the nation: A study protocol

Background: Coronavirus disease 2019 (COVID-19) and the public health measures enacted to control its spread may affect the mental health of the general population of Ireland. Funded under the Health Research Board’s COVID-19 Pandemic Rapid Response Funding Call, this protocol outlines the aims of a project to assess and protect the mental health of the population of Ireland during this pandemic. We will determine (i) the prevalence of common mental health disorders at various times during the first year of the pandemic, (ii) changes in the prevalence of mental health disorders during the first year of the pandemic, (iii) if there are distinct groups of people experiencing different mental health responses to the pandemic, and (iv) the factors associated with different mental health reactions. Methods: This quantitative study uses cross-sectional and longitudinal designs. Data have been collected from a nationally representative sample of Irish adults at four assessments: Wave 1 (N = 1,041) occurred during the first week of lockdown in March 2020, Wave 2 in May, Wave 3 in August, and Wave 4 in December. Wave 5 is planned for March 2021. Participants from Wave 1 have been recontacted at each wave to produce a longitudinal dataset. New participants were recruited using quota sampling to ensure the availability of nationally representative samples at each wave. Self-report measures of demographic, economic, psychological, and mental health variables were completed. Conclusion: This design will allow us to determine whether there has been a change in mental health disorders in the general population during the first year of the pandemic, and if so, what variables are associated with changes in mental health. Results will be used to inform the government’s ongoing response to this crisis, to better protect the mental health of the nation during this and any future public health emergency.
TC-CNN: A Tree Classified model using AI for identifying malware intrusions in open Networks

Proliferation of the internet by multiple devices has led to dramatic increases in network traffic. The Internet medium has also been growing with this usage, but this fast growth has also resulted in new threats making networks vulnerable to intruders and attackers or malicious users. This has made network security an important factor due to excessive usage of ICT (Information and Communications Technology) as threats to IVTs has also grown manifold. Securing data is a major issue, especially when they are transmitted across open networks. IDSs (Intrusion Detection Systems) are methods or techniques or algorithm which cater to detection of intrusions while on transit. IDSs are useful in identifying harmful operations. Secure automated threat detection and prevention is a more effective procedure to reduce workloads of monitors by scanning the network, server functions and inform monitors on suspicious activity. IDSs monitor systems continually in the angle of threat. This paper’s proposed technique detects suspicious activities using AI (Artificial Intelligence) and analyzes networks concurrently for defense from harmful activities. The proposed algorithm’s experimental results conducted on the UNSW_NB15_training-set shows good performances in terms of accuracy clocking above 96%.
Body Mass Index as a Prognostic Factor for the Outcome of Traumatic Proximal Femoral Fractures

Background: Fractures of the proximal extremity of the femur are among the commonest traumatic injuries nowadays, not only because of their high incidence in the elderly population but also because of the accompanying morbidity and mortality. A well-documented report has suggested that body mass index (BMI) is a signiﬁcant prognostic factor for hip fractures. Fractures of the proximal femur may be associated with low BMI, which is considered to be a risk factor. Objective: To evaluate the effect of BMI on the outcome and complications of traumatic proximal femoral fractures in patients who were treated at Mansoura University Emergency Hospital. Patient and method: This was prospective observational non-controlled clinical study was carried out on 134 patients with traumatic proximal femoral fractures selected from Mansoura University Emergency Hospital trauma patients from November 2018 to November 2019. Results: This study demonstrated that the mean duration of hospital and ICU stay were (11.18 ± 8.23) and (0.49 ± 1.26) respectively. The percentage of overall morality was (7.5), (1.5) of which occurred in the first day while the remaining cases occurred in the first month (6%). All demographic data and medical history were comparable among the studied cases except for height, weight and BMI indicating that BMI was the only different factors among cases. Incidence of postoperative complications was not affected by altered BMI. Duration of hospital and ICU admission wasn’t affected by alteration in BMI but significantly affected the mortality in the first day. Conclusion: The incidence of proximal femur fracture was higher in cases with higher BMI.
The rare isolated adult Chaput-Tillaux fracture: two case reports and review of the literature

The authors present two isolated chaput-tillaux fractures in an adult skeleton. A high level of suspicion is required to prevent diagnostic failure. Computerized tomography scan detects hidden fractures and enables a more detailed preoperative assessment of each case. Most of the cases reported in the literature are associated with other ankle lesions. This typical juvenile pattern is rare in the adults and ideal treatment is yet to be determined.
Comparing the performance of QuantiFERON-TB Gold Plus with QuantiFERON-TB Gold in-tube among highly TB exposed gold miners in South Africa

Background: QuantiFERON-TB Gold in-tube (QFT-GIT) is an interferon-gamma release assay (IGRA) used to diagnose latent tuberculosis infection. Limited data exists on performance of QuantiFERON-TB Gold-Plus (QFT-Plus), a next generation of IGRA that includes an additional antigen tube 2 (TB2) while excluding TB7.7 from antigen tube 1 (TB1), to measure TB specific CD4+ and CD8+ T lymphocytes responses. We compared the performance of QFT-Plus with QFT-GIT among highly TB exposed goldminers in South Africa. Methods: We enrolled HIV-negative goldminers in South Africa, ≥33 years with no prior history of TB disease or evidence of silicosis. Blood samples were collected for QFT-GIT and QFT-Plus. QFT-GIT was considered positive if TB1 tested positive; while QFT-Plus was positive if both or either TB1 or TB2 tested positive, as per manufacturer's recommendations. We compared the performance of QFT-Plus with QFT-GIT using Cohen’s Kappa. To assess the specific contribution of CD8+ T-cells, we used TB2−TB1 differential values as an indirect estimate. A cut-off value was set at 0.6. Logistic regression was used to identify factors associated with having TB2-TB1>0.6 difference on QFT-Plus. Results: Of 349 enrolled participants, 304 had QFT-Plus and QFT-GIT results: 205 (68%) were positive on both assays; 83 (27%) were negative on both assays while 16 (5%) had discordant results. Overall, there was 94.7% (288/304) agreement between QFT-Plus and QFT-GIT (Kappa = 0.87). 214 had positive QFT-Plus result, of whom 202 [94.4%, median interquartile range (IQR): 3.06 (1.31, 7.00)] were positive on TB1 and 205 [95.8%, median (IQR): 3.25 (1.53, 8.02)] were positive on TB2. A TB2-TB1>0.6 difference was observed in 16.4% (35/214), with some evidence of a difference by BMI; 14.9% (7/47), 9.8% (9/92) and 25.3% (19/75) for BMI of 18.5-24.9, 18.5-25 and >30 kg/m2, respectively (P=0.03). Conclusion: In a population of HIV-negative goldminers, QFT-Plus showed a similar performance to QFT-GIT.
JOURNAL OF LANGUAGE AND LINGUISTIC STUDIES

In recent years, numerous computational methods have been developed that have been widely used in humanities and literary studies. In spite of the potential of such methods in providing workable solutions to various inherent problems in research within these domains, including selectivity, objectivity, and replicability, very little empirical work has been done on thematic studies in literature. Such studies are almost entirely undertaken through traditional methods based on individual researchers’ reading of texts and intuitive abstraction of generalizations from their reading. This has negative implications in terms of issues of objectivity and replicability. Furthermore, there are challenges in dealing effectively with the hundreds of thousands of new novels that are published every year using traditional methods. In the face of these problems, this study proposes an integrated computational model for the thematic classification of literary texts based on lexical clustering methods. This study is based on a corpus comprising Thomas Hardy’s novels and short stories. The study employs computational semantic analysis based on a vector space model (VSM) representation of the lexical content of the texts. The results indicate that the selected texts could be grouped thematically based on their semantic content. Thus, there is now evidence that text clustering approaches, which have long been used in computational theory and data mining applications, can be usefully applied in literary studies. © 2021 JLLS and
Diversity in perception and management of farming risks in southern Mali

A deeper understanding of how smallholder farmers perceive and manage risks is crucial to identify options that increase farmers' adaptive capacity. We investigated a broad range of risks that play a role in farmers' decision-making processes. In the cotton zone of Mali opportunities and constraints vary with the resource endowment of farms. Furthermore, as households are large in this region, often comprising 20–50 family members, intra-household diversity may influence perceptions and risk management. For this reason, we analysed diversity both among and within farms. Information was gathered through focus group discussions and a survey with 250 people from 58 households. Risk was assessed as the combination of the perceived frequency of occurrence of hazards and the impact on food availability and income. Farmers faced a diversity of risks, with hazards related to animal and personal health, and climate variability of highest concern. Resource endowment of farms was related to risk perception to a limited extent. Differences within the household were related to the generational factor and decision power, and not to gender. Household members with decision power worried most about risks. Almost a quarter of described hazards occurred with a high frequency and led to a high impact on food availability and income. Low resource-endowed farms were more often exposed to high risks than other farm types. Farmers applied a variety of actions to cope with hazards, yet in many cases farmers lacked a response. Medical actions were targeted to human and animal health hazards. Changes in field and animal management practices, adapted consumption rates and calls on social interactions, were combined for a diversity of hazards. By assessing the diversity of risks encountered by farmers and the diversity of risk management actions taken by farmers, this study goes beyond common risk research that focuses on a single hazard. Our results suggest that development interventions should not focus on either agronomic or economic options separately, but combine both to strengthen social well-being and agricultural production.
The first identification of a C-type lectin gene (CqCTL) in Cherax quadricarinatus: sequence features and expression profiles

As pattern recognition receptors (PRRs), C-type lectins (CTLs) have important roles in the recognition and clearance of pathogens by the innate immune system. In the present study, the first Cherax quadricarinatus CTL gene (designated CqCTL) was cloned and characterized. The complete cDNA sequence of CqCTL contained an open reading frame (ORF) of 543 bp, which encoded a protein of 180 amino acids. A carbohydrate recognition domain (CRD) containing four conserved cysteines (Cys48, Cys59, Cys76, Cys177) and the EPD (Glu80-Pro81-Asn82) and QPD (Gln146-Pro147-Asn148) motifs were identified in the deduced amino acid sequence of CqCTL. The deduced tertiary structure of CqCTL revealed two α helices，five β sheets and two disulfide bonds. CqCTL exhibited high similarity with previously identified CTLs from other species. The mRNA transcripts of CqCTL were ubiquitously detectable in all the tested tissues, with the highest expression level in hepatopancreas. These results provide useful information on the potential role of CqCTL in the innate immune system of C. quadricarinatus, and lay the foundation for further studies on the CTLs of crustacean.
Investment Risk, Information Disclosure, and Market trust—Based on trust game experiment research

This paper studies the influence of investment risk and information disclosure on market trust by extending the classic trust game experiment. First of all, the investment trust experiment with no investment risk and investment risk was conducted respectively,then by introducing investment-related information study the game problem of market investment trust. The results show that, the uncertainty risk of investment returns will significantly reduce the level of mutual trust among participants in the investment market and Inhibit investment. At the same time, the impact of such income uncertainty is heterogeneous. In the case of higher income level, risk has less inhibitory effect on investment, while in the case of lower income level, risk has greater inhibitory effect on investment. Investment-related information disclosure can improve market trust, and more importantly, it can effectively reduce the adverse impact of investment risks on market trust. Therefore, in the process of continuous improvement of the capital market, the establishment of a standardized information disclosure mechanism and the reduction of information asymmetry can reduce the impact of risks on the market and give play to the function of the capital market in the efficient allocation of funds. Keywords— Market trust, Experimental study, Investment risk, Information disclosure.
THE RELATION OF ORGANIZATION CULTURE AND COMPANY STRATEGY FOR SUSTAINING COMPETITIVE ADVANTAGE AT PT. DEKATAMA CENTRA

Organizational culture is a vital part of maintaining success and competitive advantage and a good reason to be a good company. In many organisations, the reasons for ethical failure are that while leaders agree that culture is a powerful tool that can create and sustain success, very few leaders give it their attention. Organization culture decides the manner by which top management/leaders assembled data, the manner by which they see and translate the condition of the organization’s assets. It also influences the manner by which they settle on key and methodology choices. Organization culture impacts system implementation by legitimizing or delegitimizing the methodology, and also influenced the consistency of social qualities and chosen procedures. The objective of the study is to propose changes corporate culture in the analysed company on making decision of their company strategy for sustaining their competitive advantage in the market for long term. The study is using internal and external respondents. It is also involves owner and managers, existing customers and suppliers and/or agency through in depth interview and also uses internal documents and data collected externally. The interview results will be analysed through theoretical frameworks, company primary data’s and secondary data from various resources. The paper explored the results of the findings for the company in order to identify a corporate strategy to maintain competitive advantage and theory implications.
Adjunctive misoprostol for prevention of post-partum haemorrhage: a pragmatic strategy of selective sequential administration

The World Health Organization (WHO) took an important initiative in this direction by recommending the use of a uterotonic (particularly oxytocin, if available) as part of active management of third stage of labour (AMTSL). Bringing down the mortality and morbidity due to PPH poses great challenge in the LMICs including India despite widespread use of oxytocin. One important identifiable gap here is maintenance of cold chain required by oxytocin to retain its full potency. A high prevalence of poor-quality oxytocin samples having inadequate amounts of active ingredient have been reported in LMICs.