Miracle-dz/UniFAR-FTUs huggingface dataset:
Personality Moderation on Intelligence and Academic Achievement

Both cognitive and non-cognitive factors are important for success in life and academics. The reason of some undergraduate students, who enrolled in Universities of Education in Myanmar based on high scores on matriculation examination, obtained low scores in academic achievement may possibly be their personality factors. The purposes of the study are 1) to investigate the prediction of general intelligence (g) on academic achievement, 2) to find out how personality moderates the relationship between g and Grade Point Average (GPA). Quantitative survey method was used and undergraduate students (N = 328) from teacher education participated in the study. Participants had to complete Cattell’s culture fair test, and Big Five Personality Inventory (BFI). The study found that g and GPA are modestly correlated. Among big five personality factors (conscientiousness, openness, extraversion, agreeableness, and neuroticism), only conscientiousness predicted GPA significantly. Moderation analysis found conscientiousness, openness, low emotional stability (neuroticism), and extraversion improved the relationship of g with GPA. Teacher education encourages closed tasks in the exam. Students who are interested in social affairs which are important factor for life success acquired low academic achievement.
Leadership Character in the Social Science Subject Theme “ My Hero ” of the 4 th Grade at State Elementary School Purwomartani

This study aims to describe the learning of leadership characters in the 4th grade social science subject at state elementary school Purwomartani, Kalasan, Sleman, Yogyakarta. This was done because Indonesia seems to have lost its good leadership character which could become an example for children. This research is qualitative with data collection using observation, interview, and documentation techniques. Data analysis was performed through data reduction, data presentation, verification, and conclusion. The results showed that there are several leaders discussed in the 4th grade textbook of elementary school with the theme "My Hero" in social sciences subject. These leaders have different leadership characters, namely (1) the courage to defend truth, justice and expel colonialism are the characters of Prince Diponegoro, Sultan Hasanuddin, Cut Nyak Din, and Pattimura, (2) the spirit to unite the nation is a character of Gadjah Mada and Soekarno, (3) being persistent in teaching and establishing educational institutions are character of Ki Hajar Dewantara, (4) struggling to never give up and being willing to sacrifice to defend Indonesia's independence are the character of Bung Tomo, and (5) being able to realize the objectives of Indonesia's independence and inspire the younger generation are the character of President Soekarno. These findings have implications for learning social science subject with the theme of my hero, beginning with telling the leadership characters of the figures to be role models for students in their life.
Bioinformatics Analysis of MiRNA in Peripheral Blood of Patients with Severe Traumatic Brain Injury

Objective: To analyze the target genes and functions of miRNA in peripheral blood of patients with severe traumatic brain injury (sTBI) by bioinformatics. Methods: Gene microarray data from peripheral blood of sTBI patients and control group were retrieved from the GEO database. The differentially expressed miRNA were screened by bioinformatics method. The target genes were predicted, the biological functions and signal pathways were analyzed, and the miRNA and target gene regulatory networks were constructed. Results: The microarray GSE21854 was obtained.145 differentially expressed miRNA were screened out and a total of 580 target genes were predicted. The functions of these target genes mainly included negative regulation of cell proliferation and negative regulation of transforming growth factor β receptor signal pathway, which were mainly distributed in Ras signal pathway and transforming growth factor β signal pathway, etc. The regulatory network map of miRNA and target genes showed that hsa-miR-125a-5p, hsa-miR-760, hsa-miR-217, hsa-miR-199a-3p and hsa-miR-543 were the core of regulation. Conclusion: There are differentially expressed miRNA in peripheral blood of patients with sTBI. Hsa-miR-125a-5p, hsa-miR-760, hsa-miR-217, hsa-miR-199a-3p, and hsa-miR-543 are closely related to the progression of sTBI.
ESTIMATION OF TOTAL PHENOLIC, FLAVONOID CONTENTS AND IN VITRO ANTIOXIDANT ACTIVITY OF MORINGA OLEIFERA VARIETY GROWN IN EGYPT

The present research determined the chemical composition and the antioxidant activity of leaves extracts (aqueous – acetone) of Moringa oleifera variety grown in Egypt. It was found that moringa leaves contain total ash 8.03%, crude lipids 3.14%, crude protein 26.31%, total carbohydrates 44.89%, and crude fiber 17.63%. Total phenolics in leaves aqueous extract were 243.8 mg/g and total flavonoids were 145.22 mg/g, while in acetone extract total phenolics were 142.51 mg/g and total flavonoids were 124.64 mg/g. HPLC results showed that moringa leaves contained 23 phenolic compounds and 22 flavonoid contents and the main constituents of both were (e-vanillic, Pyrogallol, Salycilic, Catechin, P-hydroxybenzoic, Ellagic, Alphacoumaric, 3,4,5-trimethoxy-cinnamic, Protocatechuic and Chlorogenic) and (Luteo-6-arabinose8-gloucose, Hesperidin and Rosmarinic) respectively. In comparison with the acetone extract, the aqueous extract showed the highest activity in reducing power assay. Egyptian moringa leaves extracts were found to have antioxidant activity due to their high amount of total phenolics and falvonoids.
Re-evaluating how low intrinsic efficacy and apparent bias for G protein activation relates to the improved side effect profiles of new opioid agonists

In a recent report by Gillis et al., 2020 (1), it was suggested that low intrinsic agonism, and not biased agonism, leads to an improvement in the separation of potency in opioid-induced respiratory suppression versus antinociception. Although the compounds that were tested have been shown to display G protein signaling bias in prior publications, the authors conclude that since they cannot detect biased agonism in their cellular signaling studies the compounds are therefore not biased agonists. Rather, they conclude that it is low intrinsic efficacy that leads to the therapeutic window improvement. Intrinsic efficacy is the extent to which an agonist can stimulate a G protein-coupled receptor (GPCR) response in a system. The designation of full agonist is made to compounds that produce the highest observable activation in a system (maximum intrinsic efficacy); agonists producing some fraction of that response are considered partial agonists. The maximum response window is determined by the cellular environment, receptor and effector expression levels, and the amplification readout of the system. Biased agonism takes into consideration not only intrinsic efficacy, but also potency (concentration required to reach half maximal efficacy) of an agonist in an assay. Herein, the data published in the aforementioned manuscript was used to rederive the intrinsic efficacy and bias factors as ΔΔlog(τ/KA) and ΔΔlog(Emax/EC50). Based on this reanalysis, the data does not support the conclusion that biased agonism, favoring G protein signaling, was not present. Further, these observations agree with prior studies wherein oliceridine, PZM21 and SR-17018 were first described as biased agonists with improvement in antinociception over respiratory suppression in mice. Therefore, introducing G protein signaling bias may be a means to improve opioid analgesia while avoiding certain undesirable side effects.
MINIMAL LOCALLY STABILIZED Q1-Q0 SCHEMES FOR THE GENERALIZED STOKES PROBLEM

In this paper, some novel discrete formulations for stabilizing the mixed finite element method Q1-Q0 (bilinear velocity and constant pressure approximations) are introduced and discussed for the generalized Stokes problem. These are based on stabilizing discontinuous pressure approximations via local jump operators. The developing idea consists in a reduction of terms in the local jump formulation, introduced earlier, in such a way that stability and convergence properties are preserved. The computer implementation aspects and numerical evaluation of these stabilized discrete formulations are also considered. For illustrating the numerical performance of the proposed approaches and comparing the three versions of the local jump methods alongside with the global jump setting, some obtained results for two test generalized Stokes problems are presented. Numerical tests confirm the stability and accuracy characteristics of the resulting approximations.
0AMELIORATIVE EFFECTS OF SOME NUTRITIONAL TREATMENTS ON MID-SEASON POOR VEGETATIVE GROWTH AND ITS CONSEQUENT PREMATURE CUT-OUT OF N-STRESSED COTTON PLANT

Two field experiments were carried out at Mallawi Agric. Res. Station, EL-Minia Governorate, in 2005 and 2006 seasons. The aim of this investigation was to evaluate effects of some foliar nutritional treatments; Urea (2%), Magic (2%); Nofatrein (1L/fad); and Potassin N (1L/fad) and soil-applied N at rate of 30 kg N/fad on growth and productivity of mid-season poorly grown cotton plants of Giza 83 cultivar. Foliar treatments were applied twice; at early flowering stage and 3 weeks later, while the supplemental soil N were applied as one dose at early flowering stage. A randomized complete block design with four replicates was used. The main findings could be summarized as follows: The results showed that the supplemental soil-applied N dose was the only treatment which gave a consistently significant increases in leaves content of chlorophyll, plant height, numbers of main stem nodes, fruiting branches, open bolls and total fruiting sites per plant, number of nodes above yellow flower and seed cotton yield per faddan in both seasons but it significantly decreased earliness percentage in comparison with the control in both seasons. All used foliar treatments significantly increased leaves content of chlorophyll and exerted increases in plant growth and productivity but the significance level was not always reached in comparison with the control. No significant differences were observed among the four foliar treatments used in this study in both seasons. It could be concluded that supplemental soil N dose of 30 kg N/fad at early flowering stage was more effective in enhancing vegetative growth, delaying cut-out and reducing yield loss of mid-season poorly grown cotton plants as compared with two sprays of any nutritional compound used in this study.
THE IMPACT OF CORPORATE GOVERNANCE CHARACTERISTICS AND INDEPENDENT DIRECTORS ON VOLUNTARY DISCLOSURE An Empirical study on companies listed in Egyptian Stock Exchange

The aim of this paper is to understand the main factors of voluntary disclosure for companies listed in Egyptian Stock Exchange , particularly, on the effects of corporate governance and board composition on the quantity of voluntary information disclosed. Based on a sample of 62 Egyptian listed firms, the author forms a voluntary disclosure index based on 76 items related to the information disclosed on corporate social responsibility, intangibles, financial information, non-financial information and future prospects. Consistent with previous evidence, independent directors significantly impact the quantity of voluntary information disclosed among Egyptian firms. However, in opposition to García y Gill de Albornoz (2007) evidence on the impact of the governance structure on earnings management practices across Spanish listed firms, grey directors do not seem to play a significant role in the amount of voluntary information disclosed. These results suggest a greater importance of grey directors on the quality of mandatory financial information, particularly on earnings quality, but not on voluntary disclosure. However, independent directors, representing the interests of the free floating capital, enhance the importance of reducing information asymmetries with alternatives ways of communication with stockholders, particularly, reporting information beyond the one required in the accounting regulation.
Decision making on risky innovative production investments

Radical manufacturing technology innovations (RMTI) involve the introduction of new technologies in the firm’s production processes. They represent especially challenging production investment decisions, due to inherent high risks and uncertainties. Firms’ approaches to RMTI decision making are insufficiently understood. We explore the nature of RMTI decision making processes in nine RMTI projects from three manufacturing firms. The findings reveal slight differences compared to typical investment processes and organizations’ different approaches for guiding the decision making.
Employee Engagement and Organisational Commitment among It Sector Employees in Kerala

Employee engagement is a measurable degree of an employee's positive or negative emotional attachment to their job, colleagues and organization that profoundly influences their willingness to learn and perform at work. Employees who are engaged in their work and committed to their organizations give companies crucial competitive advantages including higher productivity and lower employee turnover. Main purpose of this study is to determine the level of employee engagement by demographic variables and to study its relationship with organisational commitment among select IT sector employees in Kerala. The current study reinforces previous literature, followed by findings, limitations and conclusions.
The Design of a Hybrid Model-Based Journal Recommendation System

Article history: Received: 29 September, 2020 Accepted: 16 November, 2020 Online: 14 December, 2020 There is currently an overload of information on the internet, and this makes information search a challenging task. Researchers spend a lot of man-hour searching for journals related to their areas of research interest that can publish their research output on time. In, this study, a recommender system that can assist researchers access relevant journals that can publish their research output on time based on their preferences is developed. This system uses the information provided by researchers and previous authors' research publications to recommend journals with similar preferences. Data were collected from 867 respondents through an online questionnaire and from existing publication sources and databases on the web. The scope of the research was narrowed down to computer sciencerelated journals. A hybrid model-based recommendation approach that combined ContentBased and Collaborative filtering was employed for the study. The Naive Bayes and Random Forest algorithms were used to model the recommender. WEKA, a machine learning tool, was used to implement the system. The result of the study showed that the Naïve Bayes produced a shorter training time (0.01s) and testing time (0.02s) than the Random forest training time (0.41) and testing time (0.09). On the other hand, the classification accuracy of the Random forest algorithm outperformed the naïve Bayes with % correctly classified instance of 89.73 and 72.66; kappa of 0.893 and 0.714; True Positive of 0.897 and 0.727 and ROC area of 0.998 and 0.977, respectively, among other metrics. The model derived in this work was used as a knowledge-base for the development of a web-based application, named "Journal Recommender" which allowed academic authors to input their preferences and obtain prompt journal recommendations. The developed system would help researchers to efficiently choose suitable journals to help their publication quest.
The Impact of Information and Communication Technology on Performance of Logistics Service Providers in Vietnam

Information and Communication Technology (ICT) has become an indispensable tool for logistics service providers (LSPs) to be competitive in the logistics market. LSPs increasingly relied upon ICT to create value for customers and other stakeholders. ICT benefits LSPs mainly for three reaons: cost reduction and better service to the customer. In Vietnam, ICT is being applied across domestic logistics industries, however, details on status and perception by LSPs towards ICT are not well-known. Therefore, the paper firstly attempts to clarify the status of ICT adoption among LSPs in Vietnam, such as foreign and local firms. The local firms are classified into large, medium and small firms. The technological gap be-tween local and foreign LSPs in Vietnam are also analyzed. Besides, the motivators and barriers in ICT implementation are described. In general, ICT are introduced so that the performance of LSPs is improved. Thus, identification of the impact of ICT on firm performance are analyzed. The anlaysis were conducted for different ages, sizes and types of business since the current level of ICT adoption and impact on the revenue is likely to be different. It is also important to examine the implications of local government reform, and can help to make sure that the company can be able to learn new technologies quickly, adapt to changing trends in supply chain technology. Government is expected to present an industrial policy strategy for logistics and the transport of goods.
ElectroMagnetic Music: a new tool for attracting people's interest in Geosciences, while sensitizing them to planet sustainability

Abstract. In recent years, different sonification methods used to organize scientific work have come out of the scientific realm and crossed into other areas for purposes other than those pursued strictly by scientific research. ElectroMagnetic Music (EMusic), a project born in Italy, fits fully into this area. By transforming into musical pitches the voltage response collected by the transient electromagnetic method (TEM), a well-known geophysical tool for subsurface exploration, this novel approach enables us to extract musical pieces reflecting the geological setting and to provide a soundtrack (i.e. the soundscape or the audio component of a landscape). The soundscape becomes the basis from which a dedicated band improvises jazz music. Besides being a new method for creating music, the project not only has the ambitious goal of attracting people to Earth sciences and their investigative methods but also of raising awareness of the environmental problems that characterize geological sites through the music. In this work, we explore the EMusic experiences gained as a live band travelling around the world. We also report some preliminary data on people's reactions and anticipate some future plans to better assess the potential of the method as a good science communication tool.
DRAFT: PLEASE DO NOT QUOTE OR CITE WITHOUT AUTHORS’ PERMIS SION The impact of increased efficiency in the use of enrgy: A computable general equilibrium analysis for Spain*

The need to reduce emissions of greenhouse gases ha been placed in recent years. The improvement in the efficiency of use is one of the pillars of the energy policies in most countries. Particularly, in Spain, rates of energy intensity are among the highest in the European Union. With an increasing level of CO2 emissions, the need to reduce energy consumption ha s come to occupy a central role in the political agenda to address both challenges. Rarely, however, are generally taken into account the consideration s arising from the rebound effect . That is, the possibility of improving energy effi ciency could lead to reductions in energy consumption lower than expecte d, or even increases in consumption. Less common is still being analyzed and quantified in which sec tors and/or what types of energy is more likely to produce the desired effect, or what consequences mi ght arise from an improvement in energy efficiency over other variables such as employment, prices or GDP. This paper analyzes these issues in the Spanis h economy through a CGE model using the Input-Output Framework of the Spanish economy for the year 2005. The model we use is a static MEGA, which desc ribes an open economy, disaggregated into 27 production sectors. Unlike similar models, it has t he particular feature of including unemployment in labour markets, given the high level of unemploymen t in the Spanish economy. The simulations consist in improving the productivity of energy-related inp uts. Specifically, it is simulated a reduction of t he use of 5 energy intermediate inputs (all together and i ndividually) by unity of output produced. This leav es as result: a decrease in the total consumption of elec tricity, gas and coal (positive rebound effect in the case of electricity and negative for the gas and coal), an increase in the consumption of petroleum product s and the resulting increase in crude oil imports ( backfire effect ), a significant increase in the amount of energy as end use, an increase in the GDP and welfare of t he economy of about 0.5% and a reduction in the unemployment rate of around 5%.
Comments on “Reliability and Validity of an Adapted Questionnaire Assessing Occupational Exposures to Hazardous Chemicals among Health Care Workers in Bhutan”

We read with great interest the article recently published in The IJOEM by Rai, et al, on the reliability and validity of a questionnaire for assessing occupational exposures to hazardous chemicals among health care workers in Bhutan. We really appreciate the efforts put by the authors for undertaking such a thought-provoking study that have pivotal role in occupational health of the developing countries. This paper well explained the importance of collecting valid and reliable occupational history data in estimating occupational exposures and work-related health effects. However, there are certain issues that need to be addressed. The title of the study creates a curiosity to learn about the reliability and validity of an adapted questionnaire. As the study process, the method tapers down the study into two stages (1) adaptation of the National Institute for Occupational Safety and Health (NIOSH) questionnaire, and (2) test-retest reliability assessment Comments on “Reliability and Validity of an Adapted Questionnaire Assessing Occupational Exposures to Hazardous Chemicals among Health Care Workers in Bhutan”
The Relationship Among Organizational Identity, Psychological Resilience and Work Engagement of the First-Line Nurses in the Prevention and Control of COVID-19 Based on Structural Equation Model

Purpose: To explore how the organizational identity and psychological resilience affect work engagement of the front-line nurses in the prevention and control of coronavirus disease 2019 (COVID-19) and to establish the relationship model based on these factors. Material and Methods: Convenience sampling was applied to collect questionnaire sam-ples from 216 nurses (from 12 cities in 6 provinces). General information questionnaires, organizational identity scale (OIQ), psychological resilience scale (CD-RISC), and Utrecht Work Engagement Scale (UWES) were used as tools for data collection. Results: Both organizational identification and psychological resilience had a positive impact on work engagement (r=0.457~0.669). The structural equation model indicated that psychological resilience had a significant partial mediating effect on the relationship between organizational identity and work engagement; the mediating effect value was 0.25, the overall effect value of work engagement was 0.73, and the mediating effect accounted for 34.2%. Conclusion: Our results revealed that organizational identity could directly affect nursing. It can also indirectly affect nurses’ work engagement through the intermediary role of psychological resilience. In face of the COVID-19 epidemic, hospitals and nursing managers could improve the level of nurses’ job involvement by improving organizational identity, which in turn may have a positive effect on psychological resilience.