Miracle-dz/UniFAR-FTUs huggingface dataset:
ISO 10015 Adoption as a Driver for Better Employees’ Performance: Implications for Organizational Excellence in Egyptian Tourism and Hospitality industry

Nowadays with the global competitive environment around the world is forcing the Tourism and Hospitality firms to search for new sustainable strategies to distinguish itself from its competitors. One of the core directions in this context is ISO 10015 that could improve and develop the employees' capabilities and enterprises’ to stay competitive. The main aim of this research is to investigate the extent of adopting international training standards (ISO10015) and its impact on organizational excellence through improving employees’ performance in Egyptian resorts and tourism companies. Therefore, this research focuses on the following six stages analyzing performance problems, defining training needs, designing and planning training, providing for the training, evaluating training outcomes, monitoring and improving as primary motives for improving and guarantee employees’ performance and organizational excellence. The research is based on a quantitative method to reach its aim. The range of this research is limited to all managers of human resources and training at five-star resorts and tourism agencies (Category A) in Hurghada City in Egypt which accounted to 23 hotels and 63 tourism agencies according to (EHA, 2018) and (ETAA, 2018). Data collection was carried out during the period from October to December 2020. The research model that employd structural equation modeling was evaluated. This research finding revealed (1) t he adoption of ISO 10015 training phases has a significant positive impact on improving employees' performance; (2) improved employees’ performance also has a significant positive impact on organizational excellence. Therefore, human resources and training managers will have important insights on how to enhance develop and manage employees’ performance thus achieving organizational excellence in the Egyptian tourism and hospitality sector by adopting ISO 10015 training.
Prototyping Inconvenience: A pedagogical experiment on designing for debate in design education

With design having more impact than ever, there is an increased need for critical inquiries into design research and education that engage designers to question established disciplinary assumptions. One prevailing myth is the convenience ideal: the obsession with comfort, efficiency, smoothness, and smartness that relates to a trend of envisioning super-convenient futures. By combining iterative prototyping, anti-solutionist strategies, and tactics of critical and speculative design, we built a counter-approach to conventional design processes: Inconvenient Design. With convenience as the topic for debate, we explored its potential in the course Stranger Things–Prototyping Inconvenience. This paper provides an overview of the approach and course format, using examples of student projects to illustrate how it encouraged them to reflect and debate directly in the design process in a tangible way, enabling them to craft alternatives. Lastly, we discuss the opportunities our methodological approach can bring to design research and education.
The Detection of Face-like Stimuli at the Edge of the Infant Visual Field

Human infants are highly sensitive to social information in their visual world. In laboratory settings, researchers have mainly studied the development of social information processing using faces presented on standard computer displays, in paradigms exploring face-to-face, direct eye contact social interactions. This is a simplification of a richer visual environment in which social information derives from the wider visual field and detection involves navigating the world with eyes, head and body movements. The present study measured 9-month-old infants’ sensitivities to face-like configurations across mid-peripheral visual areas using a detection task. Upright and inverted face-like stimuli appeared at one of three eccentricities (50°, 55° or 60°) in the left and right hemifields. Detection rates at different eccentricities were measured from video recordings. Results indicated that infant performance was heterogeneous and dropped beyond 55°, with a marginal advantage for targets appearing in the left hemifield. Infants’ orienting behaviour was not influenced by the orientation of the target stimulus. These findings are key to understanding how face stimuli are perceived outside foveal regions and are informative for the design of infant paradigms involving stimulus presentation across a wider field of view, in more naturalistic visual environments.
Reducing Valence States of Co Active Sites in a Single‐Atom Nanozyme for Boosted Tumor Therapy

The construction of biocompatible and trackable‐imaging single‐atom nanozymes (SAzymes) with efficient catalytic activities is particularly desirable. Here, cobalt/titanium oxide (Co/TiO2) SAzymes are presented with cobalt atomically dispersed on nanoporous hollow TiO2 using a cation‐exchange strategy. Significantly, by varying the calcination conditions, the enzyme‐like activity can be enhanced tenfold. It is determined that different calcination treatments result in valence state shifts of the Co active site due to changes in the amounts of defects, which affects the catalytic kinetics. Moreover, Co/TiO2 SAzymes exhibit good intrinsic biocompatibility and excellent tolerance toward the biological medium, while the hollow structure facilitates the loading of drugs and imaging agents for image‐guided chemo‐chemodynamic therapy via intravenous injection. This study not only provides a paradigm shift for the preparation of biocompatible SAzymes but also presents new insights for modulating the catalytic activity of SAzymes.
The Effect of Using of Platelet Rich Fibrin on Sciatic Nerve Regeneration After End-to-End Neurorrhaphy in Rat Model

Surgical repair or neurorrhaphy of peripheral nerves is a major surgical and clinical challenge with disappointing results. End-to-end neurorrhaphy is a gold standard technique in nerve repair, many techniques have been developed to improve the healing of the nerve after surgical repair, one of these techniques is the use of Platelet Rich Fibrin (PRF) in conjunction with end-to-end neurorrhaphy. This study aims to evaluate the effect of platelet rich fibrin in enhancing nerve regeneration of the sciatic nerve after end-to-end neurorrhaphy in rat model. Material and methods: A double-blind randomized study was conducted on 20 Albino Wistar rats at the animal house of Misr University for Science and Technology, rats were divided into two groups, group I in which end-to-end neurorrhaphy was performed. In group II, after end-to-end neurorrhaphy, PRF in form of a membrane was used to wrap the area of neurorrhaphy. Preoperative and postoperative evaluation of nerve regeneration was performed at one and three weeks postoperatively using electromyography for nerve conduction measurements. Three parameters were used, the latency in conduction, the amplitude of voltage, and the reaction of degeneration postoperatively. Results: latency, amplitude, and the reaction of degeneration within each group showed improvement along follow-up periods with a significant difference. Comparison of results between the two groups showed a significant difference along the follow-up periods in favor of group II. Conclusion: PRF with end-to-end neurorrhaphy is superior to the end-to-end neurorrhaphy and is associated with improvement in nerve regeneration of sciatic nerve in rat model.
The potency of minerals to reduce oriental fruit fly infestation in chili fruits

Introductions In many areas, particularly in Asia, the oriental fruit fly Bactrocera dorsalis (Hendel) causes considerable fruit damage on various plants. The fruit fly causes significant economic losses every year due to reduced fruit quantity and quality as well as export restrictions. This study aimed to examine the potency of minerals in controlling the oriental fruit fly infestation in chili fruits. Methods Experiments were conducted under laboratory and semi-field conditions using randomized block design. Ten minerals (i.e. kaolin, talc, zinc oxide, bentonite, sulfur, dolomite, calcium oxide, calcium hydroxide, calcium carbonate, and zeolite) and an untreated control were tested under laboratory conditions. Twenty chili fruits at a green stage were soaked in each mineral suspension (2%, w/v), air-dried, and placed in a trial cage (23-L plastic container) containing 20 female oriental fruit flies. In a semi-field bioassay using a screen cage (100 cm × 70 cm × 120 cm), 20 female oriental fruit flies were exposed to a fruit-bearing chili plant sprayed with mineral suspension. Results Talc and calcium oxide significantly reduced the numbers of visiting fruit flies, oviposition holes, and eggs laid, as well as the percentage of infested chili fruits in a laboratory bioassay. Calcium hydroxide was substantially better than talc in controlling fruit fly infestation in a semi-field bioassay, although it was not significantly different from calcium oxide and calcium carbonate. Conclusion Overall, calcium oxide is a viable option for the long-term control of the oriental fruit fly on chili fruits. Calcium oxide could be utilized as the push component of a push-pull strategy to manage oriental fruit fly infestation in chili fruits because of its potential to inhibit the number of visiting fruit flies and oviposition.
Busting myths of energy models for wireless sensor networks

When developing and validating algorithms and protocols for wireless sensor networks, simulations provide valuable insights that would be impractical to gather from real world experimental deployments. For these simulations to be meaningful, realistic models of the way energy is consumed in the targeted sensor devices need to be produced. A number of inaccuracies are identified to avoid when constructing simulation energy models and in doing so draw attention to a device specific behaviour with the potential to invalidate research assumptions.
Automatic Design and 3D Electromagnetic Simulation of Sub-nH Spiral Inductors

The design of modern radiofrequency integrated circuits on silicon operating at millimeter-waves typically requires the integration of several spiral inductors. At such high fre- quencies, a typical design requires inductors with sub-nH values, which are traditionally not available in the design-kits of the technology processes. In this work, we present a tool based on VbScripts that automatically executes three-dimensional layout editing and electromagnetic sim- ulating commands. In detail, it draws the inductor masks for the speciflc microelectronic process, including vias and underpasses, in less than one minute, and then performs the electromagnetic simulations. The outputs are the exportable DRC-errors free layout (GDS-II format) and the 2…-model parameters to be included in the schematic editor. This tool allows signiflcant design automation compatible with traditional commercial CAD tools. 1. INTRODUCTION
Identifying Plagiarised Programming Assignments with Detection Tool Consensus

Source code plagiarism is a common occurrence in undergraduate computer science education. Many source code plagiarism detection tools have been proposed to address this problem. However, most of these tools only measure the similarity between assignment submissions, and do not actually identify which are suspicious of plagiarism. This work presents a semi-automatic approach that enables the indication of suspicious assignment submissions by analysing source code similarity scores among the submissions. The proposed approach seeks the consensus of multiple source code plagiarism detection tools in order to identify program pairs that are consistently evaluated with high similarity. A case study is presented to demonstrate the use of the proposed approach. The results of this case study indicate that it can accurately identify assignment submissions that are suspicious of plagiarism.
First-Principles Calculations of Thermoelectric Transport Properties of Quaternary and Ternary Bulk Chalcogenide Crystals

Chalcogenide crystals have a wide range of applications, especially as thermoelectric materials for energy conversion. Thermoelectric materials can be used to generate an electric current from a temperature gradient based on the Seebeck effect and based on the Peltier effect, and they can be used in cooling applications. Using first-principles calculations and semiclassical Boltzmann theory, we have computed the Seebeck coefficient, electrical conductivity, electronic thermal conductivity, power factor, and figure of merit of 30 chalcogenide crystals. A Quantum Espresso package is used to calculate the electronic properties and locate the Fermi level. The transport properties are then calculated using the BoltzTraP code. The 30 crystals are divided into two groups. The first group has four crystals with quaternary composition (A2BCQ4) (A = Tl; B = Cd, Hg; C = Si, Ge, Sn; Q = S, Se, Te). The second group contains 26 crystals with the ternary composition (A’B’Q2) (A’ = Ag, Cu, Au, Na; B’ = B, Al, Ga, In; Q = S, Se, Te). Among these 30 chalcogenide crystals, the results for 11 crystals: Tl2CdGeSe4, Tl2CdSnSe4, Tl2HgSiSe4, Tl2HgSnS4, AuBSe2, AuBTe2, AuAlTe2, AuGaTe2, AuInTe2, AgAlSe2, and AgAlTe2 are revealed for the first time. In addition, temperature-dependent transport properties of pure and doped AgSbSe2 and AgSbTe2 crystals with dopant compositions of AgSb0.94Cd0. 06Te2 and AgSbTe1.85Se0. 15 were explored. These results provide an excellent database for bulk chalcogenides crucial for a wide range of potential applications in renewable energy fields.
Molecular Correlates of Early Onset of Diabetic Cardiomyopathy: Possible Therapeutic Targets

Diabetes mellitus (DM) is associated with mitochondrial dysfunction and oxidative stress that can lead to diabetic cardiomyopathy (DCM), which can often remain undetected until late stages of the disease. However, myocardial injury occurs before the onset of measurable cardiac dysfunction, although its molecular correlates are poorly understood. In this study, we made a DM rat induced by a high-fat diet combined with low and high doses of streptozotocin (STZ) to emulate pre and early DCM. RNA-sequencing analysis of ventricular tissue revealed a differential transcriptome profile and abnormal activation of pathways involved in fatty acid metabolism, oxidative phosphorylation, cardiac structure and function, insulin resistance, calcium signalling, apoptosis, and TNF signalling. Moreover, using high glucose-treated human induced pluripotent stem cell-derived cardiomyocytes (iPSC-CM), we recapitulated the cardiac cellular phenotype of DM and identified several molecular correlates that may promote the development of DCM. In conclusion, we have developed an experimental framework to target pathways underlying the progression of DCM.
Early years teacher status: constraints, implications and reforms required for a twenty-first-century early years workforce

ABSTRACT This article arose from teaching Early Years Teacher Status (EYTS) Students both undergraduate and postgraduate, and working alongside EYTS Mentors who viewed the roles through varied lenses. The impact of student feedback, their experience and observations on practice prompted this review of EYTS, their professional status and professional reflections. The research focused around a quantitative and qualitative approach based on data collected from the EYTS community and providers from across the sector. This small-scale action research project examined beliefs, assumptions and individual perspectives about the EYTS role through interviews. Research findings highlight this workforce is at risk of losing its Early Years identity through mixed perceptions of what the role is and purpose of the qualification. Findings reveal that Early Years Teachers (EYTs) are employed as unqualified teachers in the sector leading some to qualify further to gain Qualified Teacher Status (QTS) to obtain teacher pay and conditions.
Emotion Recognition from Physiological Channels Using Graph Neural Network

In recent years, a number of new research papers have emerged on the application of neural networks in affective computing. One of the newest trends observed is the utilization of graph neural networks (GNNs) to recognize emotions. The study presented in the paper follows this trend. Within the work, GraphSleepNet (a GNN for classifying the stages of sleep) was adjusted for emotion recognition and validated for this purpose. The key assumption of the validation was to analyze its correctness for the Circumplex model to further analyze the solution for emotion recognition in the Ekman modal. The novelty of this research is not only the utilization of a GNN network with GraphSleepNet architecture for emotion recognition, but also the analysis of the potential of emotion recognition based on differential entropy features in the Ekman model with a neutral state and a special focus on continuous emotion recognition during the performance of an activity The GNN was validated against the AMIGOS dataset. The research shows how the use of various modalities influences the correctness of the recognition of basic emotions and the neutral state. Moreover, the correctness of the recognition of basic emotions is validated for two configurations of the GNN. The results show numerous interesting observations for Ekman’s model while the accuracy of the Circumplex model is similar to the baseline methods.
Social Media–Based Interventions for Health Behavior Change in Low- and Middle-Income Countries: Systematic Review

Background Despite the wealth of evidence regarding effective health behavior change techniques using digital interventions to focus on residents of high-income countries, there is limited information of a similar nature for low- and middle-income countries. Objective The aim of this review is to identify and describe the available literature on effective social media–based behavior change interventions within low- and middle-income countries. Methods This systematic review was conducted in accordance with the 2009 PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. We searched PubMed, Embase, Elsevier, CINAHL, PsycInfo, and Global Index Medicus, and the final search was conducted on April 6, 2021. We excluded studies published before 2000 because of the subject matter. We included studies that evaluated interventions conducted at least partly on a social media platform. Results We identified 1832 studies, of which 108 (5.89%) passed title-abstract review and were evaluated by full-text review. In all, 30.6% (33/108) were included in the final analysis. Although 22 studies concluded that the social media intervention was effective, only 13 quantified the level of social media engagement, of which, few used theory (n=8) or a conceptual model (n=5) of behavior change. Conclusions We identified gaps in the settings of interventions, types and sectors of interventions, length of follow-up, evaluation techniques, use of theoretical and conceptual models, and discussions of the privacy implications of social media use. Trial Registration PROSPERO CRD42020223572; https://www.crd. york.ac. uk/prospero/display_record. php? RecordID=223572
Urine sediment image recognition method based on re-parameterization network

Urine routine examination has moved towards automation in recent years. In order to improve the accuracy and recognition speed of the automatic urine analyzer, a urine sediment classification method based on the attention mechanism and reparameterization is proposed. Aiming at the problem of unclear images of some urine sediments and noise, image processing technology is used to pre-processed. Aiming at the problem of some classes are easy to be confused in classification, during network training, multiple branches are used for feature extraction, and the attention mechanism is used to focus on the key points in the image, which improves the accuracy of easily confused classes. Multi-branch can be equivalently replaced with a single branch during inference to improve the recognition speed. Experimental results show that the designed network can effectively improve the classification accuracy of urine sediment images.
A framework for production rescheduling in sociotechnical manufacturing environments

Abstract No plan survives contact with reality. Despite the rich research base regarding handling uncertainty in production planning and control systems, there is an intellectual gap between theory and practice with regard to handling unforeseen events generated by internal and external factors, such as unforeseen machine downtimes and changes in demand. Motivated by longitudinal observations in two industrial settings and an analysis of the relevant literature, a framework for rescheduling decision-making in the face of unforeseen production events is proposed. In practical settings, the effectiveness of decisions depends on a set of situational factors. The findings of this research can be utilised further to provide guidelines for developing effective decision support principles and systems, addressing the needs of organisational decision-makers.
When Phosphatases Go Mad: The Molecular Basis for Toxicity of Yeast Ppz1

The fact that overexpression of the yeast Ser/Thr protein phosphatase Ppz1 induces a dramatic halt in cell proliferation was known long ago, but only work in the last few years has provided insight into the molecular basis for this toxicity. Overexpression of Ppz1 causes abundant changes in gene expression and modifies the phosphorylation state of more than 150 proteins, including key signaling protein kinases such as Hog1 or Snf1. Diverse cellular processes are altered: halt in translation, failure to properly adapt to low glucose supply, acidification of the cytosol, or depletion of intracellular potassium content are a few examples. Therefore, the toxicity derived from an excess of Ppz1 appears to be multifactorial, the characteristic cell growth blockage thus arising from the combination of various altered processes. Notably, overexpression of the Ppz1 regulatory subunit Hal3 fully counteracts the toxic effects of the phosphatase, and this process involves intracellular relocation of the phosphatase to internal membranes.
Local Politics, Global Consequences: How Structural Imbalance in Domestic Political Networks Affects International Relations

When do domestic events affect international relations? Our answer to this puzzle emphasizes patterns of interaction in domestic networks. Leaders depend on coalitions of subnational actors—civilians, parties, militaries, and so on—for political survival. Structural imbalance emerges when the higher-order relations of subnational actors contradict their revealed preferences, such as when actors cooperate with enemies of friends or conflict with friends of friends. Imbalance generates uncertainty about the preferences and future behaviors of subnational actors, which in turn diminishes the government’s confidence in domestic coalitions. Imbalance thus increases the probability that leaders will turn to survival strategies, such as manipulating foreign relations in order to show competence. At the same time, foreign governments respond to imbalance by implementing preventive measures or intervening for strategic gain. We develop and test these arguments from a networks-of-networks approach. We introduce generalizable metrics of structural imbalance and foreign-relations shifts. Extensive empirical analysis shows that the greater the imbalance generated by domestic events, the greater the probability that those events will affect foreign relations.