Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrating E-learning for Administrative Staff Professional Development

Online learning is increasingly solicited around the world within and across several sectors. It also involves higher education (HE), as it operates in a global, unstable environment, where communication and information technology are the fundamental keys. This study seeks to examine the Moroccan employees’ perception of this innovative way of learning and its impact on their professional development. It also aims at investigating the presence of distance learning as an approach growing in popularity within the administration of Moroccan universities. This qualitative study uses a semi-structured interview with 76 employees in seven Moroccan Higher Education Institutions (HEIs). The results reveal that the majority of participants have rarely used online learning, in spite of their willingness and insistence on its positive impact on their professional progress. The interviewees reported their proactive view to accelerate the implementation of digital learning to meet the world standards, as it would also serve as an appropriate way for their continuous professional development and their ability to face critical situations. The present research shows the significant necessity of integrating new ways of learning in Higher Education Administrations (HEAs). The present work assumes the research hypothesis H1: e-learning is not promoted for employees’ career advancement in Moroccan HEAs. This study recommends an anticipatory vision to transgress any reticence to change, since online learning approach would bring more productivity and success for the administrations and the employees themselves, as well as closer institutional alignment with the revolutionary digital world.
Applying Minimalism in the Real World: Results From a Workshop

Minimalism is a user-centered, contextual and goal-oriented approach to technical communication originally developed by John M. Carroll (1990). In minimalism, the aim is to produce user documentation that focuses on the user’s needs, helps the user recover from error situations, and strengthens the user’s skills in working with the system (Carroll & van der Meij 1995: 245). The challenge with minimalism has been its practical application: although user-centeredness – the core of minimalism – is the key issue in technical communication, the abstract nature of the approach and its focus on software documentation has made it difficult to apply in industry settings (Virtaluoto, Suojanen & Isohella 2018; Virtaluoto, Suojanen & Iso-hella, forthcoming). Consequently, there is very little evidence on the suitability of minimalism for software documentation and no evidence at all for hardware documentation. In this article, we explore the application of minimalism to heavy industry machinery end-user instructions through a workshop with technical communication professionals. In the workshop, the participants reviewed heavy industry machinery end-user instructions using a revised set of minimalism heuristics as a practical review tool (Virtaluoto, Su-ojanen & Isohella, forthcoming). The results show that the revised minimalism heuristics were applicable to heavy industry machinery end-user instructions, but further development ideas were also suggested.
Challenges and Needs of the Iranian Red Crescent Society in Response to the Great Flood of Iran in 2019

INTRODUCTION: In the first half of April 2019, heavy rains in central and western parts of Iran resulted in great floods. The rains affected 24 provinces and caused extensive damage to urban and rural infrastructure. Since Iran, especially the northern, western, and southern provinces of Iran are prone to floods, the floods are expected to occur every year in many provinces. Therefore, the present study aimed to investigate the needs and problems of the Red Crescent Society in different provinces of Iran in response to the great flood of Iran in 2019. METHODS: This cross-sectional study was performed in all provinces of Iran after the end of the flood response operations in April 2017. The required data were collected through a researchermade questionnaire and interviews with provincial operational managers. The designed questionnaire had different parts about the situation of the provinces in the face of floods, the most important problems faced during floods, and the most important needs for facing floods. Participants were also asked two questions about the information and equipment they should have had before the flood. FINDINGS: Analysis of the answers revealed that 24 provinces (77.41% of the country) were affected by the floods. The most common problems were lack of equipment and low public awareness which were repeated by the subjects 24 and 17 times, respectively. Moreover, the need for specialized equipment and training courses were also the most important needs. CONCLUSION: Based on the findings, the Iranian Red Crescent Society faced many problems and needs during the disaster relief process in the 2019 flood which indicated the lack of a comprehensive plan for flood management in Iran. Therefore, policymakers and disaster managers must develop practical and localized guidelines for relief according to the conditions of Iran in order to achieve the ultimate goal of disaster management which is to reduce deaths, injuries, and financial damages.
Relational dynamics amongst personal resources: Consequences for employee engagement

Orientation: Consistent with the central tenets of the job demands-resources theory, research has shown that personal resources foster employee engagement. There is, however, a gap in the literature, as limited research has explored the relational dynamics amongst personal resources. Research purpose: Firstly, to explore the relational dynamics amongst personal resources and, secondly, to determine its consequences for employee engagement. The motivation of the study: Employees possess multiple personal resources. In consideration of this, the researchers propose that it is necessary to adopt a structural model to capture the interrelatedness of the personal resources phenomenon and its consequences for employee engagement. Research approach/design and method: A quantitative cross-sectional survey design was used in the study to collect primary data amongst teachers from public schools located across the Western Cape province ( n = 353). Main findings: The results of the study demonstrated that personal resources are related to each other and, in turn, foster employee engagement. Practical/managerial implications: The researchers recommend human resource interventions that can be developed and implemented to cultivate personal resources, specifically emotional intelligence, work locus of control, psychological capital and calling orientation. Contribution/value-add: A structural model was adopted to explore the relational dynamics amongst personal resources. This enabled the researchers to capture the complexity of the personal resources phenomenon and its consequences for employee engagement.
Embryonic and larval development is conditioned by water temperature and maternal origin of eggs in the sea urchin Arbacia dufresnii (Echinodermata: Echinoidea)

Introduction: Embryonic and larval development in sea urchins is highly dependent on maternal nutritional status and on the environmental conditions of the seawater. Objective: To compare the development of Arbacia dufresnii in two different water temperatures and in progeny with varying maternal origins. Methods: We induced A. dufresnii females and males from Nuevo Gulf to spawn, collected the eggs of each female individually (progeny), separated them into two seawater temperatures (12 and 17 °C), and fertilized them. We recorded the percentage of fertilized eggs and embryos per developmental stage according to time, temperature and progeny. We measured larval growth by total length (TL) and midline body length (M) according to time post fecundation (DPF), temperature, and progeny. Results: Temperature did not affect fertilization, but embryo development was faster and more synchronized in the high temperature treatment. The generalized linear models indicate that embryo development depends on a quadruple interaction between the embryonic stage, time (h), seawater temperature and progeny. Larval growth was faster, producing larger larvae at the highest temperature. Larval growth depends on a triple interaction between time (DPF), seawater temperature and progeny. Conclusions: We found a temperature and progeny impact during embryonic and larval development and, in both cases, these factors generate a synergistic effect on developmental timing and larval size. This probably provides a survival advantage as a more rapid speed of development implies a decrease in the time spent in the water column, where the sea urchins are vulnerable to biotic and abiotic stressors.
A new method for mobile phase optimization in high-performance thin-layer chromatography (HPTLC)

A new method has been used to optimize a ternary mobile phase used for separation of mixtures of organic Cited By since 1996 This article has been cited 3 times in Scopus: (Showing the 2 most recent) Sherma, J. Planar chromatography (2000) Analytical Chemistry Document Type: Article View references (14) Scopus Journal of Planar Chromatography Modern TLC: A new method for mobile phase optimization in high-performance thin-layer chromatography . 5/21/2007 http://www.scopus. com/scopus/record/display.url? view=basic&origin=resultslist&eid=2-s2.0-0031695620&sort=plf-f&src=s&st1=jantschi&st. compounds by high-performance thin layer chromatography (HPTLC). Computer programs have been written to assist prediction of the optimum mobile phases. The method was found to he a rapid and efficient tool in mobile phase optimization. Author
Binge Consumption of Online Content: A Boundedly Rational Model of Goal Progress and Knowledge Accumulation

Binge consumption of online content has emerged as a trending phenomenon among customers of online streaming services, with various content providers spanning the spectrum from entertainment to education. Here, we focus on binging within an online education setting, using clickstream data from Coursera in which we observe individual-level lecture and quiz consumption patterns across multiple courses. We extend the literature by distinguishing between “temporal binging,” where individuals consume multiple pieces of content in a single sitting, and “content binging,” where individuals consume content from the same course in succession. We build a model that captures individual decisions about which course to consume, whether the content is a lecture or a quiz, and when to take breaks of different lengths. The parameters of our model can be mapped to specific theories in consumer psychology, which allows us to test for the mechanisms that drive binge consumption. There are three key features of our model: First, we assume that individuals are motivated to consume to progress towards the goal of completing the course. We find that consumption patterns are consistent with those predicted by goal gradient and slack theory, but inconsistent with other theories. Second, individuals are motivated to accumulate knowledge through lectures in order to pass quizzes. Beliefs about quiz-taking abilities are updated based on prior quiz scores, which we observe as a concrete measure of knowledge of the course material. Third, we assume that individuals are forward-looking in a boundedly rational way. To explore whether different firm policies may impact binging patterns, we conduct counterfactual simulations to determine how the timing of content release affects consumption and knowledge accumulation. We then test these predictions using data obtained after a “natural experiment” policy change when the Coursera platform transitioned from sequential to simultaneous course content release in the year following our original data sample.
Extraction of Characteristics of Time in “Tree Hole” Data

Statistics show that 15 percent of depressed people died by suicide, and more than 50 percent of depressed people are thinking about suicide. Worldwide, depression has become the second leading cause of death among people aged 15–29. This paper focus on the “tree hole” message data on microblog, and conducts data visualization research from different granularity, such as quarter, month, and analyses activity of message during holiday based on the knowledge graph, so as to obtain the national time distribution characteristics of the potential risk of mental health for the reference of social institutions’ monitoring and rescue and government departments’ decision-making. According to the time distribution rule of “tree hole” data, the relatively high occurrence time and possible reasons for depression and suicide are found, so that manpower could be reasonably deployed for effective prevention and rescue.
Design of Head Pursuit Guidance Law Based on Fractional-Order Sliding Mode Theory

This paper addresses problems on the interception of hypersonic vehicles in near-space. The main contribution is to study a head pursuit guidance law based on fractional-order sliding mode theory and analyze the stability of the guidance law provided. Firstly, the fractional-order differential operator, which has characteristics such as fast convergence and memory, is introduced into the design of sliding mode surface, based on which a head pursuit guidance can be designed to improve the performance of the guidance system. The stability of this guidance law is proved by Lyapunov stability theory. Based on this, a head pursuit guidance law considering autopilot dynamic characteristic is designed and the stability is also analyzed. Finally, numerical simulations are presented and the results verify that the guidance laws designed in this paper can avoid overload saturation at the initial moment of the terminal guidance stage and improve the convergence speed.
Trust, Religiousity, Income, Quality of Accounting Information, and Muzaki Decision to Pay Zakat

This study tests the factors that influence the decision of muzaki in channeling zakat, namely: trust, religiosity, income, and quality of accounting information. This study is a survey of 40 muzaki from Amil Zakat Institution (known as LAZ) Zakat Sukses in Depok. This study uses the purposive sampling method. Data analysis using SPSS 25 software with multiple linear regression analysis. The results of this study indicate that trust, religiosity, income, and the quality of accounting information simultaneously influence the decision of muzaki to distribute zakat through LAZ Zakat Sukses in Depok. Partially, trust, religiosity, and income positively affect the decision of muzaki to distribute zakat through LAZ Zakat Sukses. Meanwhile, the quality of accounting information has a negative impact on muzakki's decisions in distributing zakat through LAZ Zakat Sukses. This study's scope is on the muzaki at LAZ Zakat Sukses Depok. Therefore, the results may not represent nationally. Therefore, similar studies in collecting more large-scale data and broader areas will be useful. The implication is that LAZ Zakat Sukses need to show zakat management's performance to increase muzaki trust. Penelitian ini menguji faktor-faktor yang mempengaruhi keputusan muzaki dalam menyalurkan zakat yaitu: kepercayaan, religiusitas, pendapatan, dan kualitas informasi akuntansi. Penelitian ini merupakan survei terhadap 40 muzaki dari Lembaga Amil Zakat (LAZ) Zakat Sukses di Depok. Penelitian ini menggunakan metode purposive sampling. Analisis data menggunakan software SPSS 25 dengan analisis regresi linier berganda. Hasil penelitian ini menunjukkan bahwa kepercayaan, religiusitas, pendapatan, dan kualitas informasi akuntansi secara simultan berpengaruh terhadap keputusan muzaki dalam menyalurkan zakat melalui LAZ Zakat Sukses di Depok. Secara parsial kepercayaan, religiusitas, dan pendapatan berpengaruh positif terhadap keputusan muzaki menyalurkan zakat melalui LAZ Zakat Sukses. Sedangkan kualitas informasi akuntansi berpengaruh negatif terhadap keputusan muzakki dalam menyalurkan zakat melalui LAZ Zakat Sukses. Ruang lingkup penelitian ini pada muzaki di LAZ Zakat Sukses Depok. Oleh karena itu, hasilnya mungkin tidak mewakili secara nasional. Oleh karena itu, studi serupa dalam mengumpulkan data skala besar dan wilayah yang lebih luas akan berguna. Implikasinya, LAZ Zakat Sukses perlu menunjukkan kinerja pengelolaan zakat untuk meningkatkan kepercayaan muzaki.
Comparison between some fertilization treatments on growth and chemical composition of Foxtail palm (Wodyetia bifurcate A.K. Irvine) seedlings

This experiment was held at the nursery of Hort. Res. Inst. , ARC, Giza, in 2018 and 2019 seasons to clarify the consequence of fertilization with NPK mixture (2:1:2) at the rates of 2 and 4 g/plant, osmocote slow-release fertilizer at the rates of 10 and 20 g/plant and humic acid (HA) liquid fertilizer at the rates of 10 and 20 cm/l of water on growth and chemical composition of Foxtail palm cultured in 20-cm-diameter polyethylene bags. NPK mixture and HA fertilizers were applied as a soil drench, five times with one-month interval, while osmocote was incorporated into the soil, once at commencement of the season. The results indicated that means of various vegetative and root growth parameters were significantly increased in response to the different fertilization treatments used in this study over control in most cases of the two seasons. However, the dominance was for both NPK mixture and osmocote treatments, but the upper hand was for the high rates of both (4 g NPK and 10 g osmocote per plant). On the other hand, the least improvement was achieved by HA treatments, especially when applied at a low level (10 cm/l). A similar effect was also obtained regarding chlorophyll a, b, carotenoids, N, P and K concentrations in the leaves, with few exceptions. Thus, to obtain a picturesque pot plant of Foxtail palm (Wodyetia bifurcata), it is recommended to fertilize with osmocote (the slow-release fertilizer active for 10 months) at 10 g/plant/season as one batch applied at beginning of the season.
Anomaly detection using Extended Isolation Forest

The thesis deals with anomaly detection algorithms with a focus on the Extended Isolation Forest algorithm. Extended Isolation Forest generalizes its predecessor algorithm, the Isolation Forest. The original Isolation Forest algorithm brings a brand new form of detection, although the algorithm suffers from bias coming from tree branching. Extension of the algorithm removes the bias by adjusting the branching, and the original algorithm becomes just a special case. Extended Isolation Forest is implemented into the H2O-3 Machine Learning open-source platform. Implementation is required to run on a distributed computing system with a Map/Reduce library.
Detection of Listeria monocytogenes in Several Types of Frozen Meat in Baghdad city

Detection of pathogenic bacteria, such as Listeria monocytogenes, in food is crucial for safeguarding public health in Iraq. Forty five samples of frozen meat (15 samples of each of minced red meat, chicken, and fish) were collected from different markets in Baghdad city. Molecular (RT-PCR) and culturing (conventional microbiological examination) methods were used to determine the level of contamination of L. monocytogenes in these types of meat. For the culturing method, TSYEB broth was used as an enrichment medium, whereas BALCAM medium (HiMedia) with the listeria selective supplement FD061 was used as a selective medium, for the isolation and identification of this bacterium. The isolates were confirmed microscopically and biochemically. The results of the culturing method showed that the total number of the isolates of L. monocytogenes was 14/45 (31.1%). The incidence of this bacterium was high in fish (11/15, 73.3%), while it was low in the other two types of meat. 2/15 (13.3%) in red meat and 1/15 (6.7 %) in chicken. Molecular detection of each sample of the bacteria was performed using RTPCR technique after preparing the Genomic DNA extraction of these samples according to the protocol provided by ReliaPrepTM Blood gDNA Miniprep System kit (Promega, USA). The PCR primers and the hybridization probe ((Macrogen, Korea) were used to target the inlA gene sequence (specific for L. monocytogenes). The results of the RT-PCR assay showed that 10/45 (22.2%) of the samples were positive for L. monocytogenes, which was detected only in fish samples ((10/15, 66.7%), while not found in minced red meat and chicken. However, our results showed differences when compared to other previous works because there were many studies found that the highest contamination rate was in red meat products. We conclude that the PCR kit used for the detection of L monocytogenes appears to give accurate results in the diagnoses of this bacterium in meat products and in comparison with the other routine diagnosis methods in the laboratory, which included culturing and doing biochemical tests which last for approximately 7 days, the RT-PCR technique was able to confirm the findings within 48 hours.
An Adaptive-Data-Driven Attack Detection Framework on ADS-B Data

With the variety and quantity of flights increasing, accurate and efficient surveillance methods are in great demands for the next generation air traffic management. Relying on high accuracy, wide coverage, low deployment cost and data share support, Automatic Dependent Surveillance – Broadcast (ADS-B) is becoming the primary surveillance method in 2020. However, ADS-B data is lacking of sufficient security measures to ensure data integrity and authentication, which makes it face with various attack threats. To detect the malicious data caused by attack behaviours accurately, an adaptive-data-driven attack detection framework is proposed, which is utilized to establish the consistent framework for predictive discriminant detection methods. It is composed of sequential predictor, behaviour discriminator and dynamic updater, enhancing adaptive sequential detection performances. According to the framework, an effective implementation is designed to improve attack detection accuracy: (I) The sequential predictor identifies flight phases to predict sequential data effectively and accomplish model fusion to generate ADS-B predictive data sequences. (II) The behaviour discriminator utilizes value differences and contextual information to distinguish attack data from ADS-B data sequences. (III) The dynamic updater is designed to update the training data sets and discriminate threshold dynamically, improving the adaptation in face of concept drifts for ADS-B data. By experiments on real ADS-B data with diverse attack patterns, the feasibility and efficiency of the framework are validated.