Miracle-dz/UniFAR-FTUs huggingface dataset:
Does a single model account for much variance in employee job performance? Evidence from Air ticketing agencies

Despite a large corpus of research studies has focused on a wide range of variables determining employee job performance, a combined effect of attitudinal variables on employee job performance has been heretofore neglected. Predicating on theoretical discourse and lacunae left by earlier studies, the present study aims to investigate the relationship between job-related attitudes and employee job performance. Strongly based on ontological and epistemological assumptions, the study adopts a survey strategy with a deductive approach in a cross-sectional time horizon. Data were garnered with a self-reported questionnaire from conveniently chosen 134 employees working in four air ticketing agencies in Sri Lanka. As a caveat, the fundamental statistical assumptions and common method variance (CMV) were examined. Using a series of multiple regression analysis, we have generated four models. The present study discloses that job-related attitudes were accounted for the significant variance in employee job performance. The study further avers that males were slightly greater performers than females. Needless to say, the study has made theoretical contributions to the frontiers of human resource management literature and proffers many useful practical implications. The limitations and suggestions for future research directions are also highlighted at the end of the paper.
EMERGING 2014

—Delay/Disruption/Disconnection Tolerant Networks (DTNs) attract a great deal of attention as the part of the evolution of various telecommunications networks. In DTNs, the desired features of communication are high-speed data-transfer, high rate of transmission, and reduction of terminal resource usage (e.g., network bandwidth or capacity of node storage). These features often conﬂict with each other. Although balancing conﬂicting requirements are important, optimum methodology is still not established. In order to address these issues, we propose a new method which propagates information based on the context of messages in the shared network, such as Vehicle-to-Vehicle (V2V) communication. In our method, we use two parameters, namely, rate of dissemination and maximum number of hops, to control the speed of information propagation and total amount of information in the network. We found that rate of dissemination controls the speed of spreading information and an amount of messages needed for spreading, while maximum number of hops controls the speed of spreading information and the information volume sent per time unit.
Instruments and Methods Optimizing photogrammetric DEMs for glacier volume change assessment using laser-scanning derived ground-control points

Photogrammetric processing of archival stereo imagery offers the opportunity to reconstruct glacier volume changes for regions where no such data exist, and to better constrain the contribution to sea-level rise from small glaciers and ice caps. The ability to derive digital elevation model (DEM) measurements of glacier volume from photogrammetry relies on good-quality, well-distributed ground reference data, which may be difficult to acquire. This study shows that ground-control points (GCPs) can be identified and extracted from point-cloud airborne lidar data and used to control photogrammetric glacier models. The technique is applied to midtre Lov´ enbreen, a small valley glacier in northwest Svalbard. We show that the amount of ground control measured and the elevation accuracy of GCP coordinates (based on known and theoretical error considerations) has a significant effect on photogrammetric model statistics, DEM accuracy and the subsequent geodetic measurement of glacier volume change. Models controlled with fewer than 20 lidar control points or GCPs from sub-optimal areas within the swath footprint overestimated volume change by 14-53% over a 2 year period. DEMs derived from models utilizing 20-25 or more GCPs, however, gave volume change estimates within ∼4% of those from repeat lidar data (-0.51 m a −1 between 2003 and 2005). Our results have important implications for the measurement of glacier volume change from archival stereo-imagery sources.
Isolation, Characterization, and Screening of Antimicrobial-Producing Actinomycetes from Soil Samples

Actinomycetes are Gram-positive, facultative anaerobic fungus-like filamentous bacteria which remain on the top of the natural antibiotic producers. Due to the climatic and geographical diversity of Nepal, a wide range of microorganisms with potent source of antimicrobials are available. The objective of this study was to isolate, identify, and screen the potential antimicrobial-producing actinomycetes from soils covering different altitude range of Nepal. Forty-one isolates of actinomycetes were isolated from 11 soil samples collected from different locations in Nepal with altitude ranging from 1500 to 4380 meters. The isolates were identified on the basis of morphological study, different sugar utilization, protein utilization, and hydrolysis tests. They were also characterized on the basis of temperature and pH. Primary screening for antimicrobial activity was carried out against several test organisms: Staphylococcus aureus (ATCC 25923), Escherichia coli (ATCC 25922), Klebsiella pneumoniae (ATCC 700603), and Pseudomonas aeruginosa (ATCC 27853) by the perpendicular streaking method, and secondary screening was carried out by the agar well diffusion method using ethyl acetate for solvent extraction. 70.7% of the isolates were identified as Streptomyces spp. , 19.5% as Nocardia spp. , and 9.5% as Micromonospora spp. 43.34% of actinomycete isolates was found to be potent antimicrobial producers from the primary screening among which 46.34% were effective against Gram-positive and 12.19% against Gram-negative test organisms. Isolate C7 (Micromonospora spp.) showed the best broad-spectrum antimicrobial activity during secondary screening. A total of 11 different types of pigments were observed to be produced by different isolates, of which, the yellow pigment was the most prominent. The association between elevation, pH, and pigment with the antimicrobial production was found to be insignificant. This finding can be of importance for further investigation towards obtaining broad-spectrum antibiotics for therapeutic purpose.
SIMUL 2019

—Automated activity recognition and modeling of heavy construction equipment can contribute to the correct and accurate measurement of a variety of project performance indicators. Productivity assessment and sustainability measurement through equipment activity cycle monitoring to eliminate ineffective and idle times thus reducing Greenhouse Gas (GHG) Emission, are some potential areas that can benefit from the integration of automated activity recognition and analysis techniques. In light of this, this idea paper describes design and development of a deep-learning framework that uses accelerometer data to detect activities of construction equipment and consequently estimates the emission produced corresponding to various activities.
CHARACTERISTICS OF BACTERIOCIN BA28 PRODUCED BY Pediococcus acidilactici BA28

Peptic ulcers are produced by an imbalance between gastro-duodenal mucosal defense mechanisms and damaging forces of gastric acid and pepsin, combined with superimposed injury from environmental or immunologic agents. Most common symptoms of peptic ulcer disease are abdominal discomfort, gnawing ache, occurs 2 to 3 hours after meal, other symptoms includes weight loss, poor appetite, bloating, nausea, vomiting etc. Some time duodenal wall perforates; bleeding due to the ulcer breaks blood vessels and obstructs the path of food trying to leave the stomach. Various studies have shown the association of Helicobacter pylori with peptic ulcers. Probiotic lactic acid bacteria are proposed to cure peptic ulcers by reducing colonization of H. pylori with stomach wall and by eradicating already established infection. A bacteriocin producing probiotic strain of P. acidilactici BA28 was evaluated for its antimicrobial activity against a number of Gram-positive and Gram-negative pathogens. Bacteriocin BA28 was partially purificated and characterized following in vitro assays. Preliminary investigations against H. plyori have suggested its effectiveness against peptic ulcer disease and therefore could be exploited to develop novel therapeutics.
Economic analysis of cassava processing under value chain development programme (VCDP) in Wushishi local government area of Niger state, Nigeria.

This study was carried out to analyse the economics of cassava processing under value chain development program in Wushishi Local Government area of Niger State, Nigeria. The research described the socio-economic characteristics of the cassava processors, identified methods used by the cassava processors, estimated the cost and returns to cassava processing as well as analysed the determinants of income of cassava processors. The study utilized multistage sampling technique in selecting 100 processors from the study area. Data were obtained through the use of structured questionnaire and interview schedule. The data were analysed using descriptive statistics, farm budgeting technique and regression model. The farm budgeting analysis revealed that cassava processing into garri was profitable with a net income of ₦103,485.33. Labour intensity, high cost of cassava tubers and time consumption were the major constraints faced by the farmers. The regression analysis showed that 67% of the variation of the output was explained by the variables included in the model. Age (p<0.05), processing experience (p<0.01), transportation cost (p<0.05), storage cost (p<0.01) and packaging cost (p<0.01) were significant factors that influenced the income of cassava farmers under VCDP in the study area.The study recommendsthat the VCDP/Government should introduce innovative equipment that will reduce the stress in processing and ensure timeliness in processing operations.
First-Principles Mechanistic Insights into the Hydrogen Evolution Reaction on Ni2P Electrocatalyst in Alkaline Medium

Nickel phosphide (Ni2P) is a promising material for the electrocatalytic generation of hydrogen from water. Here, we present a chemical picture of the fundamental mechanism of Volmer–Tafel steps in hydrogen evolution reaction (HER) activity under alkaline conditions at the (0001) and (10 1 ¯ 0) surfaces of Ni2P using dispersion-corrected density functional theory calculations. Two terminations of each surface (Ni3P2- and Ni3P-terminated (0001); and Ni2P- and NiP-terminated (10 1 ¯ 0)), which have been shown to coexist in Ni2P samples depending on the experimental conditions, were studied. Water adsorption on the different terminations of the Ni2P (0001) and (10 1 ¯ 0) surfaces is shown to be exothermic (binding energy in the range of 0.33−0.68 eV) and characterized by negligible charge transfer to/from the catalyst surface (0.01−0.04 e−). High activation energy barriers (0.86−1.53 eV) were predicted for the dissociation of water on each termination of the Ni2P (0001) and (10 1 ¯ 0) surfaces, indicating sluggish kinetics for the initial Volmer step in the hydrogen evolution reaction over a Ni2P catalyst. Based on the predicted Gibbs free energy of hydrogen adsorption (ΔGH*) at different surface sites, we found that the presence of Ni3-hollow sites on the (0001) surface and bridge Ni-Ni sites on the (10 1 ¯ 0) surface bind the H atom too strongly. To achieve facile kinetics for both the Volmer and Heyrovsky–Tafel steps, modification of the surface structure and tuning of the electronic properties through transition metal doping is recommended as an important strategy.
Assessing the likelihood of adoption of orange-flesh sweet potato genotypes in Sierra Leone

The adoption of research outputs to bring the desired impacts is a major factor of any research work. Based on this premise, adoption likelihood analysis was used to determine the maximum likelihood of adoption of orange flesh sweet potato (OFSP) in Sierra Leone. The study was conducted in Western Area, Moyamba, Bo, Kenema and Bombali districts. A multi-stage sampling procedure was employed to select the study samples. Data was collected from 200 sweet potato farmers using android devices programme with the Census and Survey Processing System (CSPro 6.3) software package. Descriptive statistics was used to analyze the awareness and level of cultivation of OFSP genotypes and inferential statistics to determine the maximum likelihood (rate) of adoption. From the results, there is a high level of awareness (57.7%) of OFSP genotypes by sweet potato farmers within the treatment communities as opposed to farmers in the control communities (19.2%). The high level of awareness of OFSP genotypes by the farmers within the treatment communities is as a result of the establishment of SLARI trials and with frequent discussions taking place between farmers, research scientist and technicians. The results of the adoption likelihood analysis showed that different maximum adoption rates can be achieved by combining different dimensions in the three-function adoption likelihood model. Based on the farmer’s category, production goals and environments model, OFSP genotypes are likely to be adopted by farmers in the study area (MAR = 98.04%). However, the adoption rate is likely to be higher for farmers who prefer improved varieties, mainly cultivating for income, and have access to both upland and lowland ecologies. Therefore, those recommended factors should be considered in the future planning for OFSP interventions in Sierra Leone. Key words: Adoption, likelihood analysis, orange flesh sweet potato (OFSP) genotypes, treatment communities, control communities.
E-Assessment in Information Technology Education

Emerging trends and challenges in Information technology education are shifting instruction-based learning towards the use of the Internet, with its capabilities for flexibility, networking and distributed nature. Web-based educational systems and virtual learning environments foster interactivity and provide an excellent medium for distance education delivery. Certain aspects of Information Technology education such as assessment, marking, provision of feedback and communicating complex concepts and technical terms provide challenging research concerns. The study presented in this paper provides an analysis of an undergraduate student sample regarding an Information Technology module. Blended teaching mode through a supporting virtual learning environment provided mechanisms for e-assessment and feedback for geographically dispersed students residing in two different campuses.
Evaluating the Factors Affecting DSS Usage in Strategic Decisions in Local Authorities in Egypt Using a Structural Equation Modelling Approach

This article draws on a survey among CEO and IT mangers in local authorities in Egypt to explain the key factors affecting using DSS in making strategic decisions. A structural equation model that extends the generally accepted Technology Acceptance Model (TAM) is proposed and tested to assess the relationships among the following constructs: task characteristics, cultural characteristics, DSS characteristics, environmental characteristics, organisational characteristics, internal support characteristics, external support characteristics, decision-maker characteristics and top management characteristics and its relation with DSS usage via Perceived Ease of Use (PEU) and Perceived Usefulness (PU).
Engage More, Achieve Less? The Relationship between Student Engagement and Academic Achievement among Juvenile Delinquents at Malaysia Correctional Institutions

Student engagement has vital role to play and can profoundly affecting students’ learning progress. A sound body of literature found student engagement is positively correlated with academic achievement and assume the underlying relationship implied student engagement lead to improvement of educational outcomes. The contemporary studies of student engagement are focused on aiming to enhance learning and teaching particularly in higher education level. Furthermore, the center attention of literature focused on secondary and university to examine the relationship between student engagement and academic achievement. However, very few studies were found on juvenile delinquents at correctional institutions. To bridge the research and knowledge gap, present study was took place at 4 correctional institutions (Integrity School and Henry Gurney School) under Malaysian Prison Department. The present study adopted multistage sampling, in which purposive sampling was employed as the targeted samples were juvenile delinquent students. Meanwhile, two-stage cluster sampling was adopted for the sample randomization, and preserved representative of the population. The present study was conducted on 154 juvenile delinquent students at these correctional institutions through selfreport survey questionnaires. Finding from correlation analyses indicated significant relationship found between student engagement and levels of academic achievement. In addition, regression analyses revealed behavioral engagement has significant influence on juvenile delinquent student academic achievement. The study has implications on the role of teacher at correctional institutions, and the effectiveness of current practice pedagogy. Teachers may practice more on student centered learning due to the diversity of students’ background.
An Empirical Analysis of Long-Term Fundamentals of Real Exchange Rate in WAEMU

The aim of our study was to highlight the long-term explanatory factors for the dynamism of the real effective exchange rate in the WAEMU. To get to the end, we used a standard neoclassical model of small open economy to which we made modifications. The Pooled-Mean Group (PMG) methodology for panel data was also used. Our annual data come from the World Bank, the IMF and the BCEAO. These data cover the period 1980-2017. It appears that the fundamentals of the real effective exchange rate in WAEMU are GDP per capita, the terms of trade, the trade balance and foreign direct investment. We recommend strengthening the industrial fabric of the WAEMU countries through the promotion of an incentive tax policy and the diversification of exports. These results negatively affect the maintenance of the fixed exchange rate regime in WAEMU. Key Word: Pooled-Mean Group Methodology, Balassa-Samuelson model (BS), Real effective exchange rate, WAEMU Classification J.E. L. : C1, E1, F3, R1 -------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 24-02-2020 Date of Acceptance: 07-03-2020 -------------------------------------------------------------------------------------------------------------------------------------
Do we know all there is to know about Familial Adenomatous Polyposis?

(1) Laboratoire de génétique, immunologie et pathologies humaines, Faculté des sciences de Tunis, Campus universitaire, Tunis, Tunisie ; (2) Service de chirurgie ; (3) Laboratoire d’anatomopathologie, Hôpital Charles-Nicolle de Tunis, Tunis, Tunisie ; (4) Unité d’oncogénétique et d’angiogénétique moléculaire, Groupe hospitalier Pitié-Salpêtrière, Paris ; (5) Service de gastroentérologie, Hôpital Charles-Nicolle de Tunis, Tunis, Tunisie.
Adaptive Market Hypothesis: Evidence from the Turkey Stock Market

Adaptive Market Hypothesis argues that Effective Market Hypothesis and calendar anomalies may coexist. The focus of Adaptive Market Hypothesis is not any single behavior, but how the behavior responds to changing market conditions. Adaptive Market Hypothesis has been proposed as a hypothesis to resolve conflicts between Efficient Market Hypothesis and Behavioral Finance. With this hypothesis put forward in 2004, the studies defending the Efficient Market Hypothesis and Behavioral Finance started to be evaluated in a different framework. Accordingly, this study examines the predictability of return of Borsa Istanbul 100 index (XU100) within the framework of Adaptive Market Hypothesis. Return series were analyzed between January 02, 2013 April 26, 2019 using Automatic Portmanteau Box-Pierce Test, Generalized Spectral Test and Wild-bootstrapped Automatic Variance Ratio Test. The rolling window approach was used to examine whether the time varying returns were predictable. It is concluded that Adaptive Market Hypothesis is not valid for Borsa Istanbul both for the full sample period and for the sub-periods. In other words, it has been determined that the degree of efficiency of the stock market index does not change over time depending on market conditions.
Hemiplegic Shoulder Pain in Shoulder Subluxation after Stroke: Associated with Range of Motion Limitation

Correspondence to Deog Young Kim Department and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea. E-mail: kimdy@yuhs.ac Sang Chul Lee, Ae Ryoung Kim, Won Hyuk Chang, Ju-sun Kim, Deog Young Kim Hemiplegic Shoulder Pain in Shoulder Subluxation after Stroke: Associated with Range of Motion Limitation Brain & NeuroRehabilitation 02
Mitochondrial calcium cycling in neuronal function and neurodegeneration

Mitochondria are essential for proper cellular function through their critical roles in ATP synthesis, reactive oxygen species production, calcium (Ca2+) buffering, and apoptotic signaling. In neurons, Ca2+ buffering is particularly important as it helps to shape Ca2+ signals and to regulate numerous Ca2+-dependent functions including neuronal excitability, synaptic transmission, gene expression, and neuronal toxicity. Over the past decade, identification of the mitochondrial Ca2+ uniporter (MCU) and other molecular components of mitochondrial Ca2+ transport has provided insight into the roles that mitochondrial Ca2+ regulation plays in neuronal function in health and disease. In this review, we discuss the many roles of mitochondrial Ca2+ uptake and release mechanisms in normal neuronal function and highlight new insights into the Ca2+-dependent mechanisms that drive mitochondrial dysfunction in neurologic diseases including epilepsy, Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis. We also consider how targeting Ca2+ uptake and release mechanisms could facilitate the development of novel therapeutic strategies for neurological diseases.
Regulating Indoor Environmental Quality (IEQ) Factors in Influencing Learning Satisfaction among Technical and Vocational Education and Training (TVET) Students

Productivity and outcomes are important for Technical and Vocational Education and Training (TVET) students. There are variety of factors that can impact student productivity and outcomes, such as indoor environmental quality (IEQ). IEQ can affect to student achievement. Therefore, it is essential to know if the students are satisfied with their indoor environmental quality (IEQ). Three dimensions of IEQ, namely lighting, acoustics, and air quality were the focus of this study. This study identifies the extent of classroom or physical IEQ (lighting, acoustics, and air quality) among Technical and Vocational Education and Training (TVET) students in a polytechnic. Also, the objective of this study is to examine the association between classroom IEQ and student learning satisfaction. This is a quantitative approach and descriptive design study. The collection of data was through questionnaires, approximately 500 questionnaires distributed to the students of the TVET, namely polytechnics, students through online survey. There were 404 students answered and the response rate was 80.8%. The IBM SPSS Statistics software was used to analyze the data. Descriptive and inferential statistical analysis were utilized to measure the relationship of the variables. The findings shows that the level of student learning satisfaction and the perception level of IEQ are high. The independent IEQ variables have positive correlation with learning satisfaction among TVET students.