Reviewerly/exHarmony huggingface dataset:
Impact of Job Insecurity on Job Performance: Mediating role of Work Engagement

The Pakistani financial sector is growing significantly over the past decades, due to an increase in the branches; competition between financial institutions has increased. In the era of stiff competition, the staff plays a significant role in financial sector competition. In line with this, the current study aims to find the impact of job insecurity on work engagement and job performance of employees working in the banking sector of Pakistan. For this purpose, data were collected from four hundred employees of the banking sector by using a self-administered questionnaire. Data were analyzed by using Statistical Package for the Social Sciences SPSS software. The frequency analysis, correlation, regression, t-test, ANOVA, and mediation analysis were performed on the collected data. The findings provide that job insecurity has a significant and negative impact on work engagement and job performance. Moreover, work engagement mediates the relationship between job insecurity and job performance. The study implications and limitations have also been discussed.
Value-semantic Foundations of Mystical Experience

From the standpoint of the theory of activity, the value-semantic foundations of mystical experience are analyzed. It is shown that such grounds are ultimately determined by the need-motivational sphere of consciousness, which, on the one hand, carries the activity, energy of the subject, and, on the other, gives meaning to the activity of the subject, performs a regulatory function. This duality is reflected in two groups of value-semantic attitudes that permeate the spiritual world of the subject, determine the foundations of forms of consciousness, including mystical experience. In the first group, the dependence of the subject on the external elements (natural and social) of his life world is expressed. The second is the volitional desire of the subject to transform such elements into the internal conditions of his existence, to harmonize his relations with the world, to overcome dependence on it. Mystical experience realizes the need to remove a person&amp;apos;s alienation from the world, to immediately, “here and now”, harmonize of his relations with the natural and social environment, to give basic meanings to the existence of his own Self. Such a personalized need is generated by a complex interaction of socio-cultural, personality-psychological, psychiatric, environmental, gender factors, the effects of neurostimulators, etc. Mystical experience performs the function of motivating activities for the “appropriation” of otherworldly reality. The motivational basis explains its essential features such as generalized visual imagery, the impossibility of its unambiguous interpretations, volitional intentionality, improvisationality, creative, renewal potential (within the boundaries of the sensory-emotional experience of the world by the subject), etc. The mentioned features are also inherent in folklore creativity, which allows us to consider mystical experience as a “transformed” form of folklore creativity, which is fundamentally limited by ordinary consciousness with its dogmatism, claims to self-evidence in areas where developed scientific and theoretical thinking is required. In the history of culture the value-semantic foundations of mystical experience are formed in the era of transformation of primitive mythology into folklore, in the course of its genre differentiation on the borders with religious consciousness.
Video Stabilization Algorithm for Vineyard Robots

Robots used at vineyards are either autonomous or tele-operated by a remote operator who controls the robot motion based on a live video feed from the robot’s cameras. Unlike structured environments like buildings which have smooth ground surface, the surface of vineyards are uneven. There could be jitters in the video due to a bumpy ground, or loose and vibrating mechanical frame on which the camera has been mounted. Jitters or shakes in these videos are undesired for tele-operation, and to maintain desired quality of service. In this paper, we present an algorithm to stabilize the undesired jitters in a shaky video. The algorithm works by tracking robust feature points in the successive frames of the camera, smoothing the trajectory, and generating desired transformations to output a stabilized video.
A Farewell Note from the Editors

Readers can hardly be faulted for wondering if volume 22 of Ghana Studies is a double issue. In fact, it is a single issue, but one that is bursting at the seams with a wide variety of articles that really do speak to the intellectual diversity of Ghana Studies as a field. The issue kicks off with
Automatic Level Research on UAS Distributed Operation Based on Machine Learning

With the wider application of UAS in civil aviation, the safety of UAV operation has attracted more and more attention by the public. In order to reduce the pilot load and eliminate the manual operation risk caused by human factors, UAS distributed operation is the trend in both manufacture and operation fields. As most operation of the UAS is automatic done by the operation system, the UAS automatic level become the key factor to indicate safety level of the operation. Based on the human intervention during flight, 5 grades of UAS automatic level is defined. In order to test the automatic level of the UAS, the makeup of the test system and the test items are introduced in this paper. Using the parameter for which the expert has determined the automatic level as training set, the tested UAS system is calculated by SVMs sigmoid function and the output of the model is the AL of the UAS.
Producing Immersive Interactive Narratives in Complex 3D Open Worlds

Interactive virtual worlds present a unique opportunity for simulation, training, and entertainment in settings that are otherwise prohibitive to recreate or control. In order to produce a truly immersive experience, it is important to populate these 3D environments with fully articulated virtual humans capable of exhibiting functional, purposeful behavior and complex interactions with other objects in the environment. In this paper, we discuss the challenges inherent in conducting interactive narratives in rich virtual worlds with autonomous characters, and present our ongoing work on dynamic story generation using the event-centric authoring paradigm. Unlike traditional character behavior systems, events enable an author to design character interactions using a centralized control structure that temporarily co-opts character autonomy and treats participants as limbs of the same entity. This allows us to create a narrative action space based on complex occurrences an author would like to see in the world, like a riot or protest, rather than in the space of individual character actions like opening a door.
Variation of sulfur isotopes in indium-rich tin deposits (Baal Gammon and Isabel) of Herberton Mineral Field, Queensland, Australia

Indium is a critical metal with increasing demand in the manufacture of solar panels, LCDs, and touchscreens.Indiumrich tin deposits of the Herberton Mineral Field, such as those occurring at Baal Gammon and Isabel, are related to the fractionated granites of northeast Queensland that formed during the Carboniferous-Permian.Two phases of mineralization were recognized at Baal Gammon and Isabel.At Baal Gammon, the first phase consists of cassiterite mineralization in the UNA Porphyry and at Isabel, the first phase consists of cassiterite that occurs in polymetallic veins.The second phase consist of sulfides mineralization.At Baal Gammon, it consists mainly of chalcopyrite and pyrrhotite deposited as massive to semi-massive sulfides, veins, and breccia infill.The Isabel deposit consists of two types of polymetallic veins based on ore mineralogy; type 1 veins consist of sphalerite cross-cut by chalcopyrite and pyrrhotite, and type 2 veins consist of sphalerite and galena.The Sn and the sulfides mineralization are cross-cut by a later phase of quartz-feldspar porphyry and overlain by volcanic rocks.To investigate the sources of sulfur, sulfur isotopes ( 34 S, 33 S and 32 S) were analyzed through in-situ secondary-ion mass spectrometry (SIMS) on chalcopyrite-pyrrhotite pair from three different locations at Baal Gammon and from one polymetallic vein at Isabel.At Baal Gammon, the δ 34 S in chalcopyrite from the massive sulfides hosted by the UNA Porphyry range from 1.5‰ to 1.7‰, whereas the δ 34 S in chalcopyrite from the massive sulfides occurring at the contact between the younger porphyry and the UNA Porphyry varies from 2.07‰ to 2.09‰.The δ 34 S in chalcopyrite in the polymetallic veins of the Isabel deposit varies from 0.9‰ to 1.4‰.Small variations in δ 34 S signature from different parts of the Baal Gammon and Isabel deposits indicate a closed to a partially open magmatic system that operated during the evolution of Sn-Cu mineralization.This variation in the sulfur isotope could be due to remobilization and or kinetic fractionation that occurred during a later magmatic episode.Sulfur isotope fractionation between chalcopyrite and pyrrhotite was minimum at Baal Gammon but some fractionation was observed in the polymetallic veins of Isabel.
Modeling of Self Tuned Fuzzy Proportional Integral Derivative Controller

As the number of connections and the complexity of the manipulator system rose, it became more difficult for the control engineers to manage such a manipulator system, requiring the employment of a separate control system to govern the manipulator's position and velocity. Using different mathematical equations, this work investigates a self-tuned fuzzy PID (STFPID) controller that is capable of following trajectories and suppressing noise. A dynamic model for a two-link stiff robotic manipulator has been built in Simulink and used to drive the plant, and the STFPID controller is being used to do so. Genetic Algorithm is being used to tune the controller and we are using IAE (integral absolute errors) as an objective function in order to obtain the least amount of error and we have determined that STFPID has the least value of error as compared to the other three controllers. A fuzzy logic controller's ability to manage uncertainty is facilitated by its ability to climb in time quickly and to minimize overshoot.
THE ROLE OF ENTREPRENEURSHIP FOR SUSTAINABLE ECONOMIC DEVELOPMENT IN AFRICA

Entrepreneurship plays an influential role in the sustaining economic development and standard of living of a country and region. As a startup founder or small business owner, one may think that he is simply working hard to build his own business and provide for himself and immediate family. However, he is actually doing a whole lot more for his local community, state, region, and the country as a whole. The purpose of this study is to investigate the role of entrepreneurship to sustainable economic development: An empirical study on South-South regionof Nigeria.To achieve the objectives of the study the researcher employed descriptive research design for analysis; data was collected from both secondary and primary sources. Under primary source, 80 respondents from three selected Trading and Contracting companies in Port Harcourt through questionnaires. The paper adopted the Theory of Entrepreneurship. The theory was advanced by one famous scholar, Schumpeter. Schumpeter believes that creativity or innovation is the key factor in any entrepreneur’s field of specialization. The study was aiming to examine the contributions of entrepreneurship to sustainable economic development. The study revealed that entrepreneurship increases the employment level of the country and region, the productivity, and also makes considerable change in the living standards of those involved in the entrepreneurial activities. The researcher recommends that both the central and regional governments should establish centre for coordination of entrepreneurship and come up with policies and programs aimed at improving and encouraging entrepreneurial endeavours in Africa.
Comparing the Effect of AOs and TPS on EFL Learners’ Listening Comprehension

Listening Comprehension is the language skills should be developed through listening to children as they grow. Listening Comprehension has been claimed as the most challenging skill to teach since many research found that EFL learners are worried to have a listening class. This research aimed to know whether there is a significant effect of Advance Organizers (AOs) and Think-Pair-Share (TPS) on EFL learners’ listening comprehension. This study is to determine which one is more dominant between Advance Organizers (AOs) and Think-Pair-Share (TPS) to increase EFL learners’ listening comprehension in the Eleventh grade of a senior high school on Tangerang Regency. This research is a quantitative method, with 36 learners as the sample which is taken non-random by using quasi-experimental research time-series design. The data were collected by using the test including pretest and posttest. The results revealed that there was a significant effect used by Advance Organizers and Think-Pair-Share. Therefore, Advance Organizers was more dominant than Think-Pair-Share to increase EFL learners’ listening comprehension.
TRANSLATION METHODS OF SET EXPRESSIONS

In this article, we discuss particularly the translation methods of set expressions from English into Russian.Phraseological units are set expressions that are fixed in the language and give it expressiveness.The issue of the translating phraseological expressions has a special significance in translation studies.The originality of languages expressed in their lexical compositions and grammatical structure, the differences in the conceptual systems of each nation, the various paths of their historical development, the differences in culture and worldview generate certain difficulties in the translation of phraseological units.Apart from the definite semantic content, idioms also contain diversity of expressive and stylistic shades, so the task of the translator is not only to transfer the meaning of a phraseological unit into Russian, but also to inform the reader of its figurativeness and expressiveness.As a result of the analysis and comparison of set expressions in two languages reveals that in order to achieve the most appropriate translation, should be used an equivalent that is absolutely identical in meaning, emotional and expressive intensity, stylistic colouring and grammatical structure.This is the best way to transfer a phraseological unit from one language to another.
A Federated Learning Backdoor Attack Defense Method Based on Dual Attention Mechanism

As a distributed machine learning paradigm, federated learning allows clients to collaboratively train models without sharing their private data, effectively solving data privacy issues in edge computing scenarios. However, recent studies have shown that neural network models in federated learning are vulnerable to backdoor attacks, which make the global model give wrong inference results in a high-confidence manner, such as recognizing stop signs as speed limit signs in the image classification task. This will have serious consequences. Aiming at the problem that the existing federated learning defense methods take a long time to compute and cannot destroy the matching relationship between triggers and backdoors, a federated learning backdoor attack defense based on dual attention mechanism (FDDAM) is proposed. The model weights are dynamically adjusted during training process, no additional models are required, and the calculation time is shorter. First, in order for the model to ignore triggers, the enhancement on image semantics is performed and then build channel attention map. Second, in order to destroy the matching relationship between triggers and backdoors, a feature map space transformation network is constructed. Finally, in order to improve the defense success rate, the channel attention map and the spatial attention map are weighted to construct a dual attention network. Experiments with FDDAM on image classification datasets show an average increase of 1.68% and 3.11% in model accuracy and defense success rate, and an average reduction of 1.85 times in computation time compared to the benchmark method.
VR for Rehabilitation: The Therapist Interaction and Experience

Virtual Reality (VR) Serious Games can improve physical, cognitive and mental rehabilitation by helping patients stay engaged and entertained while performing rehabilitation exercises. Patients need therapist monitoring and intervention tailored to each patient and to each point in their unique rehabilitation process. This article reports on a prototype development of a therapist interface for an occupational therapy rehabilitation VR game, which was guided by user research and co-creation sessions. Usability testing was carried out with low-and high-fidelity prototypes. Despite achieving a System Usability Scale score of 93.75, the interface requires further development at the level of game-session creation and parameter personalization. This article showcases relevant challenges in interaction design for including the therapist in the patient's game-playing while allowing fast/efficient setup of appropriate game-based therapy, thus balancing patient outcomes and efficient use of therapist time and effort.
Automated Cell Viability Analysis in Tissue Scaffolds

Image processing techniques are frequently used for extracting quantitative information (cell area, cell size, cell counting, etc.) from different types of microscopic images. Image analysis of cell biology and tissue engineering is time consuming and requires personal expertise. In addition, evaluation of the results may be subjective. Therefore, computer-based learning applications have been rapidly developed in recent years. In this study, Confocal Laser Scanning Microscope (CLSM) images of the viable pre-osteoblastic mouse MC3T3-E1 cells in 3D bioprinted tissue scaffolds, captured from a bone tissue regeneration study, were analyzed by using image processing techniques. The goal of this study is to develop a reliable and fast algorithm for semi-automatic analysis of CLSM images. Percentages of live and dead cell areas in the scaffolds were determined with image correlation, and then, total cell viabilities were calculated. The other goal of this study is to determine the depth profile of viable cells in 3D tissue scaffold. Manual measurements of four different analysts were obtained. The measurement variations of analysts, also known as the coefficient of variation, were determined from 13.18% to 98.34% for live cell images and from 9.75% to 126.02% for dead cell images. To overcome this subjectivity, a semi-automatic algorithm was developed. Consequently, cross-sectional image sets of three different types of tissue scaffolds were analyzed. As a result, maximum cell viabilities were obtained at intervals of 63 µm and 90 µm from the scaffold surface.
Public opinion early warning technology of power supply service based on topic web crawler

To improve the response time of public opinion on early warning of power service and expand the coverage of early warning, this time, combined with the theme of web crawler technology, the research on public opinion on early warning technology of power supply service is carried out. According to the power service situation, collect the public opinion data of power supply service, analyze the public opinion situation according to the service results, and conduct topic discovery. Based on this, the overlapping web crawler public opinion early warning model is designed, and the public opinion threat estimation method is used to realize early warning processing. The final test results show that: Compared with the traditional clustering public opinion early warning test group and the traditional sentiment calculation public opinion early warning test group, the final early warning response time of the theme web crawler public opinion early warning test group designed in this paper is controlled within 1.5s. It shows that in the practical application process, the method in this paper has a fast early warning speed for public opinion, and the error of data and information processing is small, which has practical application value.
Drainage System Capacity Analysis with Storm Water Management Model (SWMM) at Cemarajaya Housing, Karawang Regency West Java

Purpose: This study aims to determine the factors that cause inundation/flooding in Cemarajaya Housing, evaluate existing drainage channels and plan drainage channels for unbuilt blocks and analyze the capacity of the drainage system using the EPA SWMM 5.1 program.&#x0D; Design/methodology/approach: Based on the simulation results using SWMM, the subcatchment response shows that an average of 22.11 mm per subcatchment is infiltrated and the rest becomes runoff of 310.23 mm.&#x0D; Findings: The abrasion disaster that hit the north coast of Karawang, especially the village of Cemarajaya, had occurred from around 1990 to 2016 and the most severe occurred in three hamlets, so residents affected by the abrasion had to be relocated to a place far from the shoreline. The Department of Public Housing and Settlement Areas of Karawang Regency built a housing estate to relocate residents affected by the abrasion disaster.&#x0D; Research limitations/implications: In this housing, 299 units of infiltration wells were built because the calculated channel dimensions were not possible to build due to the limited land area of the road.&#x0D; Practical implications: The problem that occurs in the housing is that the area where the housing construction is located is in the yellow zone based on the Karawang City/Regency Sanitation Strategic (SSK) data in 2017, which is an area prone to inundation of 25% to 50%. &#x0D; Originality/value: This paper is originality&#x0D; Paper type: Research paper
Teacher Adoption of a Hybrid Learning Model in Vulnerable Secondary Schools

As a result of the confinement caused by COVID-19, different educational institutions have had to resort to distance education to continue their students’ education and learning processes. This has accelerated the adoption of educational technologies and the incorporation of hybrid learning or blended learning strategies. To date, most studies that have evaluated these types of strategies have focused on promoting self-regulatory skills in higher education. However, it is necessary to understand what its adoption in secondary education implies. Along these lines, this work presents a case study of vulnerable schools in Chile. The work focused on identifying the variables that facilitate the adoption of a blended learning model by their teachers. The results revealed the importance of the teachers’ profile to include the ability to incorporate technology into their classrooms and perform the instructional design necessary to adopt this type of model.
ABOUT THE INTERACTIVE MODEL FOR PREPARATION FOR THE FINAL MATHS QUALIFICATION IN PRIMARY SCHOOL

The article describes the approach to improving the pro-cess of preparing primary school students for the final certification in mathematics based on the creation of an interactive mathematical subject environment, particular attention is paid to the construction of a special subject mathematical model for the formation of techniques for solving problems with a parameter, and also consider the issues of self-design of such models by schoolchildren in the framework of project activities in mathematics, aspects of their application in the practice of teaching in mathematics lessons and in extracurricular activities in the subject. In addition, the text of the article presents options for organizing the use of interactive models not only with students of permanent educational groups (classes), but also possible ways to implement excursion classes for students of various classes and schools seeking to improve their mathematical training.