Miracle-dz/UniFAR-FTUs huggingface dataset:
Islamic Working Environment, Organizational Commitment and Employee’s Job Satisfaction and Performance in Service Industry in Malaysia: A Conceptual Paper

This study investigates the role of organizational commitment as a mediator between the Islamic work environment and the employee’s job satisfaction and performance. The study was conducted through the review of previous literature on the variables. It was discovered that previous studies did not include Islamic values as part of their workplace environment framework and only investigate the effect of organizational commitment as the result instead of moderating variable. Thus, a new conceptual model is proposed which will include the Islamic workplace environment as the independent variable, job satisfaction and performance as the dependent variable and organizational commitment as the moderating variable. The model is expected to provide a better understanding to the organization, especially Multinational Corporations (MNC) in understanding the importance of providing Islamic workplace environment for their employees.
Data Privacy Management in Public Environments

The mobile devices caused a constant struggle for the pursuit of data privacy. Nowadays, it appears that the number of mobile devices in the world is increasing. With this increase and technological evolution, thousands of data associated with everyone are generated and stored remotely. Thus, the topic of data privacy is highlighted in several areas. There is a need for control and management of data in circulation inherent to this theme. This article presents an approach of the interaction between the individual and the public environment, where this interaction will determine the access to information. This analysis was based on a data privacy management model in public environments created after reading and analyzing the current technologies. A mobile application based on location via Global Positioning System (GPS) was created to substantiate this model, which it considers the General Data Protection Regulation (GDPR) to control and manage access to the data of each individual.
Efficiency of Three Extracts of Carica papaya as Molluscicidal and Anti-schistosomal Agents against Biomphalaria alexandrina and Schistosoma mansoni by Flow Cytometry

Schistosomias is a prevalent parasitic disease in tropical and sub-tropical areas, which comes in the second place in terms of socioeconomic and public health burden. Around 600 million people in 74 countries are infected yearly, predominantly in the developing world. The aim of this work was to assess the efficiency of three extracts from Carica papaya (methanol, ethanol and butanol extracts) Original Research Article Aly et al.; JPRI, 32(11): 31-41, 2020; Article no.JPRI. 58620 32 for their molluscicidal and anti-schistosomal activities. The LC50 of methanol, ethanol and butanol extracts of Carica papaya against B. alexandrinea were 180, 499.3 and 509.1 mg/L while the respective LC90 values were 220.3, 700.6, 769.6 mg/L respectively. The effect of these extracts on Biomphalaria alexandrina snails and larval stages of Schistosma mansoni, for miracidia the LC50 of methanol, ethanol and butanol extracts of Carica papaya against miracidia were 3.4, 15.4 and 8.1 mg/L, respectively, while the respective LC90 values were 8.4, 38.2, 11.2 mg/L, and for cercariae the LC50 of methanol, ethanol and butanol extracts of Carica papaya were 2, 20 and 4 mg/L, while the respective LC90 values were 13.5, 80.5, 18.5 mg/L respectively was evaluated, in addition to flowcytometric analysis of CD4, CD25, FOXP3 and TGF-β levels during S. mansoni infection in mice. The in-vivo results showed that the three extracts have variable potential against snails and miracidia and cercariae of S. mansoni. The mortality rate in B. alexandrina snails for methanol, ethanol and butanol extracts of Carcia papay were 86%, 45% and 64%, respectively. While it was 83%, 35% and 66%, respectively in miracidia and 92%, 40% and 70%, respectively in cercariae. The results indicated that methanol extract from Carica papaya recorded higher activity against snails, miracidia and cercariae. The levels of CD4, CD25, FOXP3 regulatory T (Treg) cells were decreased significantly (p<0.001) in infected mice compared to healthy controls. However, there was a significant (p<0.001) increase in levels of TGF-β. A significant increase in the levels of CD4, CD25, and FOXP3 Treg in Carica papaya treated group compared to infected control group, with a significant (p<0.001) decrease in TGF-β level than infected group. In conclusion, methanol extract was more effective at concentration of LC50 180 and LC90 220.3 than ethanol and butanol extracts of Carica papaya therefore controlling B. alexandrina snails by methanol extract is a promising way as it is an eco-friendly strategy in rural areas of developing countries, where schistosomiasis is endemic. Moreover, the increased immune defense mechanism in treated group with the same extracts is a promising target for new immune modulatory strategies against schistosomiasis.
Bitcoin investment: a mixed methods study of investment motivations

ABSTRACT Bitcoin is a well-established blockchain-based cryptocurrency that has attracted a great deal of attention from media and regulators alike. While millions of individuals invest in bitcoin, their motivations for doing so are less clear than with traditional investment decisions. We argue that the technical nature of bitcoin investments gives it unique characteristics and, consequently, that we lack a thorough understanding of how this affects the motivations behind bitcoin investment. We use a mixed method approach consisting of qualitative (n = 73) and quantitative (n = 150) studies and fuzzy-set qualitative comparative analysis (fsQCA) to identify seven bitcoin-specific motivations (profit expectancy, ease of bitcoin acquisition, support of bitcoin ideology, investment skills, risk affinity, anticipated and experienced inaction regret) and how configurations of them explain bitcoin investment. The findings reveal, among others, that some individuals invest in bitcoin because they support the bitcoin ideology. Contrary to the traditional investment literature, profit expectancy is not a necessary condition to the extent that there is one empirical configuration of motivations that explains that individuals also invest in bitcoin even if they do not expect profits. The results disclose non-trivial investment motivation configurations and lay the groundwork for future studies of the role of cryptocurrencies in society.
Effect of Irrigating Solutions on Growth and Rot of Soybean Sprouts

Cultivation methods for clean soybean sprouts were investigated using irrigating solutions with grapefruit seed extract, chitosan and phosphate buffer. Chitosan and phosphate buffer did not inhibit the growth of soybean sprouts and increased the yield. Especially phosphate buffer was effective in yield increase and rot inhibition. As the times of irrigation with phosphate buffer increased, the yield of soybean sprouts increased up to 12.3% compared to that of the control. The high increase of yield and rot inhibition of soybean sprouts were detected even in times irrigation with phosphate buffer.
Physical Activity Behavior of Children and Adolescents in Luxembourg - An Accelerometer-based Study

Due to the continuous decrease of physical activity of children in industrialized countries physical activity behavior has become a key issue in health-related research. The purpose of this study was to assess objectively the daily physical activity of Luxembourgish children and adolescents and its distribution into school and leisure time. The physical activity behavior of 242 students (108 male students, 134 female students) with an average age of 12.84 years (SD = 2.37) was objectively assessed by wearing an accelerometer (ActiGraph GT3X-BT) for seven consecutive days. The average daily time spent in moderate to vigorous physical activity was 47.75 minutes (SD = 19.75). 62 students accumulated the recommended 60 minutes per day. 32% of students’ total moderate to vigorous physical activity occurred during school time and 63% during leisure time. During physical education, students were engaged in moderate to vigorous physical activity on average for 20.02%, whereas 46.93% of the time was spent being sedentary. Significant gender differences were found for all variables in favor of male students. Equally, physical activity in all areas decreased significantly with age. The Luxembourgish children and adolescents are insufficient physically active and the moderate to vigorous physical activity levels are mainly accounted by leisure time. Therefore, it seems reasonable for schools to create an environment that supports the physical activity throughout the school day to increase the daily physical activity, with special attention to female and older students.
A sex-structured model for the transmission of trichomoniasis with possible reinfection

ABSTRACT Trichomoniasis is a sexually transmitted disease caused by an infection from the parasite Trichomonas vaginalis. A model of its transmission shows a backward bifurcation when the basic reproduction number is less than one. A stable disease-free equilibrium co-exists with a stable endemic equilibrium with the consequence that the disease may invade the population even when . The backward bifurcation is due to reinfection among the people who have recovered. In the absence of a backward bifurcation and when , the disease-free equilibrium has global asymptotic stability. In the absence of reinfection, the model has a unique global asymptotically stable endemic equilibrium when . Contact rates are the major parameters in the persistence of the disease, compared to rates of recovery after treatment, infectiousness of asymptomatic individuals, and rates of reinfection.
A Survey on: Automatic Question Tagging and Student Performance Prediction System.

In information systems, tagging is a popular way to categorize information and to search content. Therefore, almost all online newspapers, blogs, question-answer communities, and other similar sites make use of tags to categorize articles, posts, questions, answers, and so on . Automatic tagging processes content without human intervention, resulting in more standard and consistent results at lower costs. This paper gives a survey of different techniques used by the researchers for Question Tagging and Student Performance Prediction. An abstract view of the proposed system that we are going to implement helps to predict the expertise of an individual in the particular domain based on the attempted question from the question paper.
Big Data Analytics for Enhancing Students Experience in Higher Education – A Case Study

Big Data analytics in the recent past has evolved as an innovative branch in the field of information technology that has contributed in a significant manner to various areas of human endeavor. Some of the evident sectors in which big data is contributing in huge manner are natural disaster management and forecast, healthcare, agriculture, insurance, welfare schemes, cyber security, banking and many others. The education sector one amongst the other areas which has huge scope for enhancement by implementation of big data analytics. Big data analytics can provide insights about various unknown facts which can result in enhancement of student learning, better classroom planning, enhancement in lecture delivery and overall enhancement of student experience. Moreover, it can also result in easy decision making for management in a higher education institution and less administrative work for academic staff. This research is aligned in the same direction where a sample group of students in higher education are monitored with sensing devices to observer their attention levels while various pedagogical approaches are adopted for the comparison. This research yields specific facts about student attention levels based on the analysis that is done using SPSS analysis tool. This research considers students at different levels of bachelors study program in a higher education institution and monitors same cohort of student with various pedagogical methodologies. This research work is a mere effort to enhance student experience in higher education institutions by analyzing different learning approaches with student’s attention levels.
ParaLabel: Autonomous Parameter Learning for Cross-Domain Step Counting in Wearable Sensors

Wearable step counters, also referred to as activity trackers, have been developed for health and activity monitoring, as well as for step tracking. These trackers, however, produce unreliable measurements during slow walking and when walking with assistive devices (i.e., aided walking). To address this challenge, in this article, we introduce, ParaLabel, a filter-based step counting algorithm that is reliable against various walking velocities and intensities. ParaLabel addresses this problem by learning a filter cut-off frequency autonomously in a new domain without the need for collecting sensor data and manually tuning the algorithm parameter for a different velocity and/or pattern of walking. We formulate this problem as a transfer learning problem in which the new filter cut-off frequency is transferred from a bank containing previously fine-tuned parameters from different domain(s). Our extensive analysis using real data collected from 15 participants while wearing an accelerometer sensor on their chest, wrist, or left pocket demonstrates the superiority of ParaLabel to two commercially available trackers worn on the same body location, and state-of-the-art techniques. ParaLabel achieves 96.3% − 99.9% accuracy during walking on a treadmill at three different velocities, 98.2% − 99.9% accuracy during walking with a shopping cart, and 89.3% − 97.3% accuracy while walking with the aid of a walker.
Factors affecting PGE2 production in seaweed Gracilaria tenuistipitata

Gracilaria tenuistipitata is an edible red alga and can be utilized as feed for small abalone and foodstuff (ex. agar extract). It is the major species of Gracilaria that is commonly cultivated and consumed in Taiwan. Effects of environmental factors on prostaglandin E2 (PGE2) production in the seaweed G. tenuistipitata were investigated in this study. PGE2 amount increased nearly 2-fold and 47% when the seaweed was exposed to two ways of fluctuation of seawater salinity from 2% to 1% and 3% for 12 hr, respectively. The stresses of low temperature and irradiance promoted the seaweed to produce PGE2. When the seaweeds were exposed to air for 2 hr and 4 hr, the PGE2 levels were elevated by 25% and 31%, respectively. When the seaweed was soaked in freshwater, PGE2 amount gradually decreased. Cu2+ and Zn2+ inhibited PGE2 production at the concentrations of 3 and 50 mg/L, respectively. Mg2+ slightly inhibited PGE2 production about 20% at 2,025 mg/L, while Ca2+ boosted PGE2 production about 59% at 600 mg/L. Hence, environmental factors significantly affect the PGE2 production in the seaweed G. tenuistipitata. Prostaglandins might be associated with processes permitting the algae tissue to survive in unfavorable conditions. To lower the amount of PGE2 in the seaweed and ensure the food safety, it is suggested to minimize the variation of growth condition to avoid PGE2 increase in the seaweed during cultivation period. In addition, consumers should avoid eating raw seaweed since PGE2 could be destroyed by heating.
The use of finite element analysis in dentistry and orthodontics: Critical points for model development and interpreting results

Abstract Objective: This paper highlights common procedures for establishing a well-constructed FEA problem using a representative dental geometry, and discusses how results can be interpreted to understand the validity of methods and the scope over which the results are valid. Materials and Methods: A representative multi-rooted tooth geometry was generated to study the difference in mesh-density convergence when applying a 1 N occlusal force to a single node versus being distributed over a region. Additionally, a representative tooth-periodontal ligament (PDL)-bone complex was generated with a distributed 500 N occlusal load. PDL Young's modulus values were varied to demonstrate how changing properties influenced simulation outcomes. Results: The mesh density convergence study illustrated the divergent stress response when exposed to a point load as compared to the convergent response using a distributed load. Studying the tooth-PDL-bone complex showed that changing PDL properties had a substantial effect on tooth displacement and maximum stress within the PDL and nearby bone, but had less influence on stresses within the bone farther away from the PDL. Conclusions: The research illustrated the importance of proper FEA problem definition as it pertains to ensuring validity of results and that they truly reflect the overall goals of the analysis.
Investigating the Advantages of English Medium Instruction (EMI) in the Indonesian Workplace.

This study investigates how the alumni of an English medium university in Jakarta Indonesia perceive the education that they received as applied in the workplace. Data collected from 139 conveniently sampled respondents reveal that there is a positive correlation between self-reported English language proficiency and job effectiveness, while there is a weak correlation between language proficiency and perceived respect gained in the workplace. It can be construed that the respondents put value on their English medium education as relevant in navigating workplace requirements. While the study cannot rebut the argument that English as a medium of instruction (EMI) may water down content expertise, the results of the study indicate that studying in the medium of English may offer a competitive advantage in the workplace. The study asserts that EMI may be a step in the right direction considering the widespread use of English as a business lingua franca and that the perceived advantages of an EMI education far outweigh the perceived disadvantages as reported in the literature. This paper argues that the problematized aspects of research into EMI may be due to a methodological myopia in terms of choosing the respondent cohorts, research locales, and overall research approach. Looking at EMI from another angle other than those which have already been investigated may provide deeper insights into the practice of EMI and how it is able to address educational goals. This study, then, investigates how the alumni of an EMI institution attribute their success or failure in the workplace to their perceived abilities in English language. Moreover, this study assumes that the benefits of English may well be seen over an extended period and can be well proven or evidenced in settings like the workplace. Making use of an Indonesian context, this research, therefore, investigates the perceptions on how has helped them language requirements and how their self-perceived proficiencies in affect or impact their and
Evaluation of effect of essential oils (eucalyptus and lemon grass) against the darkling beetle, Alphitobius diaperinus

The lesser mealworm (Alphitobius diaperinus), also known as darkling beetle, is responsible for huge economic losses in poultry production. This insect has fully adapted to poultry houses and commonly found in high density in poultry litter. It is a potential transmitter of bacteria, viruses, fungi, protozoa and particularly tapeworms. Most strategies used to control this pest are based on the application of chemical insecticides. However, the widespread and inappropriate application of the chemical insecticides against these darkling beetles produced the risk of developing resistance to almost all the compounds introduced in the market. To overcome this problem, a study was conducted to evaluate the effect of essential oils (eucalyptus and lemon grass) at different concentrations against larvae and adult darkling beetles. The essential oils were mixed with acetone at three different concentrations viz., 5, 10 and 20%. Twenty adult beetles / larvae were placed into the glass vials and their mouth covered with muslin cloth. The filter papers impregnated with different concentrations of essential oils were placed into a bottle. The glass vials with beetles were hung at the geometrical centre of glass bottles, which were then closed with airtight lids. Mortality/viability of insects was recorded after every 30 min., 24hrs and 48 hrs. The results of the current study showed that none of the beetles died even at the higher concentration of both the essential oils. The present study suggests that eucalyptus and lemon grass essential oils are not effective against the larvae and adult darkling beetles dwelling in poultry litter.
Improving Sustainability of Smart Cities through Visualization Techniques for Big Data from IoT Devices

Fostering sustainability is paramount for Smart Cities development. Lately, Smart Cities are benefiting from the rising of Big Data coming from IoT devices, leading to improvements on monitoring and prevention. However, monitoring and prevention processes require visualization techniques as a key component. Indeed, in order to prevent possible hazards (such as fires, leaks, etc.) and optimize their resources, Smart Cities require adequate visualizations that provide insights to decision makers. Nevertheless, visualization of Big Data has always been a challenging issue, especially when such data are originated in real-time. This problem becomes even bigger in Smart City environments since we have to deal with many different groups of users and multiple heterogeneous data sources. Without a proper visualization methodology, complex dashboards including data from different nature are difficult to understand. In order to tackle this issue, we propose a methodology based on visualization techniques for Big Data, aimed at improving the evidence-gathering process by assisting users in the decision making in the context of Smart Cities. Moreover, in order to assess the impact of our proposal, a case study based on service calls for a fire department is presented. In this sense, our findings will be applied to data coming from citizen calls. Thus, the results of this work will contribute to the optimization of resources, namely fire extinguishing battalions, helping to improve their effectiveness and, as a result, the sustainability of a Smart City, operating better with less resources. Finally, in order to evaluate the impact of our proposal, we have performed an experiment, with non-expert users in data visualization.
Online Learner Analytics of Asynchronous Discussions as a Predictor of Final Grades.

For close to three decades. the positive effects of online learner engagement in asynchronous discussions have been reported. Given the many positive effects of asynchronous discussion that have been conveyed in the literature, a preponderance of today’s online courses include the activity as a part of the learning experience. It seems only reasonable, however, that the intended learning benefit only occurs when online students fully engage in the discussion activity. This paper presents the results of an inquiry that focused on the involvement of online learners in weekly discussions as determined by the direct viewing of the posts of course participants, and the resulting final grade assigned in the undergraduate course.