Reviewerly/exHarmony huggingface dataset:
Autonomous Multiple Robots Exploration using Evolutionary Optimization Algorithm

Multiple robots exploration is an emerging research area in Robotics. Autonomous robotic exploration in natural or manmade disaster areas speeds up the search and rescue operations and it saves the life of victims and human rescuers. It helps to explore the places such as space, ocean, and forest etc., where humans are unable to physically visit. The important challenge existing in this autonomous multi-robots exploration problem is collaboration between the robots team to accomplish the entire mission. This research paper proposes an autonomous exploration strategy by means of a swarm intelligence algorithm. The entire area to be explored is partitioned into a number of smaller regions. Exploration of the entire smaller regions collectively brings the robots team to accomplish the overall mission. Hence the efficient allocation of robots to the smaller regions to be explored consumes optimal resources like battery energy and task completion time. The Particle Swarm Optimization algorithm is applied for allocating the smaller regions to the robots in an efficient manner. The simulation of the proposed environment partitioning and exploration strategy is implemented in the Robot Operating System Gazebo simulation tool. A flat and smooth terrain environment of known boundary conditions is considered in the simulation study. The environment contains a number of obstacles at random positions. The task allocation time, overall robots battery energy consumption is minimal by the proposed exploration strategy. The real time implementation of the proposed concept is the future scope of this research.
Transformative International Partnership during Global Challenges: A case study of a public research university in China during the pandemic

Developing and implementing impactful international partnerships was the top priority for higher education institutions prior to the pandemic breakout. The pandemic forced higher education to change and act quickly to avoid international enrollment crash and spurred some unprecedented international collaborations. This case study examines an unconventional international cooperation that a public research university in China initiated for providing a college learning environment for Chinese students enrolled in other countries during the global challenge. This study responds to the call for how to build sustainable internationalization. The research findings contribute to the development of a new paradigm of internationalization and creative internationalization for the future of new normal.
Systematic Literature Review Untuk Identifikasi Metodde Fragmentasi Pada Perancangan Sistem Database Terdistribusi

Large and complex databases that exist on a system can result in poor performance such as increasing access time and costs on a system. There are various ways to reduce the time and cost of data access and improve the performance of a database, one of them is by designing a Distributed Database. It is not known how many methods can be used to design a distributed database. This study aims to identify a distributed database design method using the Systematic Literature Review (SLR) method whose data were obtained from related journals from 2012–2022. This review is helpful for researchers as well as practitioners, for researchers this research will help them to see trends in the field of vertical fragmentation in distributed databases.
Current Problems and the Ways to their Solution (on the Basis of Lewis Carrol’s Alice’s Adventures in Wonderland and Through the Looking-Glass)

We are living in the Multiverse realized in artistic phenomena, ontological states, revolutionary scientific discoveries and assumptions, and other areas of being. For instance, contemporary popular and nongenre literature base on the plural structure of the fictional Universe. Interpersonal conflicts escalated into interworld battles, interplanetary collisions have become the base of the fantasy genre, and hidden parallel dimensions are more and more often collapsing in various forms and interpretations. Despite the fact that multiple Universe structure has a form and appearance of modern artifact, the vision of the Universe as a plurality is a deep and ancient tradition that stretches us back to the Middle Ages and beyond. The Medieval period marks the time of development of typography which made it possible to fix the contemporary worldview in a clearer way. The investigations of Nicholas of Cusa, Giordano Bruno, and other thinkers opened the closed structure of the Universe, assuming an existence of infinity of the worlds. The literature of the Middle Ages represented the worlds’ plurality in a similar way but due to the theological foundations of the epoch. The ideology was based on the duality and contrasting of antonymous principles such as Heaven and Hell, Light and Dark, Spiritual and Physical, Sacred and Sinful. One of the basic values of the Middle Ages lies in the establishing of the divine and spiritual as an “objective” form of reality. The current article reveals the paradigm of the development of the phenomenon of plural worlds in theology, philosophy, modal logic, and literature studies. Also, it highlights the main principles of multiple fictional Universe constructing. Lewis Carroll’s “Alice’s Adventures in Wonderland” and “Through the Looking-Glass” brightly reflect the multiple worlds’ structure. Considering all features of the principles of this plurality, we obtained the conclusions which demonstrate the function of multiple worlds, which not only discovers it in a decorative way but also has an identifying role at the personal level and at the level of the individual world.
Pemanfaatan WhatsApp dan Zoom Meeting untuk Pembelajaran Daring pada Masa Pandemi Covid-19 di MTs An-Nashihin Kademangan

&#x0D; This study aims to describe the Utilization of WhatsApp Application Features and Zoom Cloud Meetings as Online Learning Media during the Class IX Covid-19 Pandemic at MTs An-Nashihin Kademangan, inhibiting factors and supporting factors in the use of WhatsApp application features and zoom cloud meetings as online learning media. during the covid-19 pandemic class IX at MTs An-nashihin Kademangan and solutions that were carried out to overcome obstacles that occurred in the use of the whatsapp application features and zoom cloud meetings as online learning media during the covid-19 pandemic class IX at MTs An-Nashihin Kademangan This research was conducted at MTs An-Nashihin Kademangan, South Tangerang City from February 8, 2022 to February 21, 2022. This type of research is qualitative descriptive. The results of the study show that teachers have utilized the WhatsApp application features and zoom cloud meetings to support online learning activities, by utilizing various available features such as photo, video, document, video calls, and video conferencing features. From the results of this study, it is recommended that educators further improve their competence regarding the use of ICT, so that the readiness of learning using technology-based learning can be maximized.&#x0D; Keywords: WhatsApp, Zoom Cloud Meetings, Learning Media, Online Learning.
Education Framework 2030: Do Vocational School Students Have Green Skills?

This study aims to analyze the condition of the green skills of vocational students with three focus problems, namely the condition of the green skills of vocational students and their implementation in the curriculum, indicators of green student skills, and learning strategies used to improve skills of vocational students. green skills. The approach used in this research is qualitative. Data was collected through Google Scholars, ResearchGate, ScienceDirect, Sinta, and Scopus. Data were collected from 27 articles which were then analyzed using thematic analysis techniques. The results showed that the green skills of vocational students had not met the challenges of the job market because the dimensions of green skills had not been fully implemented in the curriculum. Green skills can be measured by indicators of the value of technical skills, knowledge, and attitudes required by workers in a green economy. Learning strategies to improve green skills use a project-based and problem-based approach that encourages critical, innovative and responsible thinking. The results of this study are expected to have implications for the vocational education process which is more oriented towards green competence in accordance with the demands of DUDIKA. Thus, the quality of SMK graduates increases and unemployment decreases.
Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency

Structured pruning has been extensively studied on monolingual pre-trained language models and is yet to be fully evaluated on their multilingual counterparts. This work investigates three aspects of structured pruning on multilingual pre-trained language models: settings, algorithms, and efficiency. Experiments on nine downstream tasks show several counter-intuitive phenomena: for settings, individually pruning for each language does not induce a better result; for algorithms, the simplest method performs the best; for efficiency, a fast model does not imply that it is also small. To facilitate the comparison on all sparsity levels, we present Dynamic Sparsification, a simple approach that allows training the model once and adapting to different model sizes at inference. We hope this work fills the gap in the study of structured pruning on multilingual pre-trained models and sheds light on future research.
Hospital-Agnostic Image Representation Learning in Digital Pathology

Whole Slide Images (WSIs) in digital pathology are used to diagnose cancer subtypes. The difference in procedures to acquire WSIs at various trial sites gives rise to variability in the histopathology images, thus making consistent diagnosis challenging. These differences may stem from variability in image acquisition through multi-vendor scanners, variable acquisition parameters, and differences in staining procedure; as well, patient demographics may bias the glass slide batches before image acquisition. These variabilities are assumed to cause a domain shift in the images of different hospitals. It is crucial to overcome this domain shift because an ideal machine-learning model must be able to work on the diverse sources of images, independent of the acquisition center. A domain generalization technique is leveraged in this study to improve the generalization capability of a Deep Neural Network (DNN), to an unseen histopathology image set (i.e., from an unseen hospital/trial site) in the presence of domain shift. According to experimental results, the conventional supervised-learning regime generalizes poorly to data collected from different hospitals. However, the proposed hospital-agnostic learning can improve the generalization considering the low-dimensional latent space representation visualization, and classification accuracy results.
Gaussian Process for GPS Receiver Predictor and INS GPS Integration

Grown GAN thin film had a hexagonal crystalline structure and high-intensity peak at the (002) plane.• The absorption spectrum of grown GaN film showed a high absorbance at a UV spectrum of 302.88, 435.26 nm.• Three methods relations were used to estimate the optical energy gap of prepared P-Si substrate and grown GaN film.• The optical energy gap of the P-Si substrate was 2.1 eV, while the grown GaN thin film had a multi-optical energy gap of 3.3 and 1.6 eV.The optical properties of a grown gallium nitride (GaN) thin film on a porous silicon (P-Si) substrate was investigated.A Photo-electrochemical etching method was used to synthesize the Psi substrate, and a physical deposition method (pulsed laser deposition) of 1064 nm Q-switch Nd: YAG laser with a vacuum of 10 -2 mbar was used to grow a thin layer of GaN on a prepared P-Si substrate.X-Ray diffraction displayed that GaN film has a high crystalline nature at the (002) plane.The photoluminescence of GaN film exhibited ultraviolet PL with a peak wavelength of 374 nm corresponding to GaN material and red PL with a peak wavelength of 730 nm corresponding to Psi substrate.The absorption coefficient of the P-Si substrate and grown GaN thin film was obtained from the absorption calculation of UV-Vis diffused spectroscopy at ambient temperature in the 230-1100 nm wavelength range.Extinction coefficients, optical energy gap, and refractive index of both the P-Si substrate and the grown GaN thin film have been determined, respectively.The direct optical energy gaps of both the P-Si substrate and grown GaN have also been determined using three methods: Plank's relation with photoluminescence (PL) spectroscopy, Tauc'relation, and Kubulka-Munk argument with Uv-Vis diffused spectroscopy.It was observed that the optical energy gap of the P-Si substrate was 2.1 eV, while the grown GaN thin film had a multi-optical energy gap of 3.3 eV and 1.6 eV.A good agreement has been obtained between these mentioned methods.
Risk factors for Burnout Syndrome in healthcare professionals on the front line against Covid-19

The Covid-19 pandemic, since its inception, has been causing serious damage and consequences to the health of the general population. The coronavirus has a high transmission rate and as a result, high rates of infection were obtained, as well as overcrowding in health services. WHO data indicate that most health professionals working on the front line in the fight against the Covid-19 virus, have high rates of anxiety, stress, depression, professional dissatisfaction and feelings of negativism, which negatively influences and causes a decline in health care. service performance. Thus, the objective of this study was to identify, through scientific evidence, which are the risk factors for Burnout Syndrome in health professionals on the front line against Covid-19. For this, an integrative review of the literature was carried out through a survey of data in the scientific bases: LILACS, SCIELO and BRISA. From the analysis of the selected studies, it was possible to identify some factors that emerge risks for the mental health of health professionals. Occupational stress triggered by a long period of exposure to negative emotional stimuli that are generated in the work environment. The findings in the literature indicate that psychic illness has increased in the services, since the Covid-19 virus contributes to this consequence, leaving health professionals exposed to vulnerabilities. Preexisting diseases such as comorbidity, depression, anxiety, mood disorder show as clinically significant indicators that can be a lever for the prevalence of Burnout.
3DHero: An Interactive Puzzle Game Platform for 3D Spatial and Reasoning Training using Game Engine and Machine Learning

The well-known puzzle game Tetris, where arrangements of 4 squares (tetrominoes) fall onto the field like meteors, has been found to increase the brain’s efficiency [1]. Many variations came into existence ever since its invention. Sometimes, the leveling can become a double-edged sword, so this game is essentially a Zen mode without a leveling system. This game is built for people who want to play a 3D version of Tetris at a speed they themselves have set. This paper designs a game to exercise spatial visualization. This study uses a Unity/C++-based game [2]. This game will be tested by kids on the autism spectrum, and we will conduct a qualitative evaluation of the approach. No results have been shown yet, and that is due to the fact that this study is still a work in progress. I am trying to make the game comply with the latest Tetris design guidelines that I can find online (that is, the 2009 guideline).
Impact of intelligence leadership on organizational excellence: Mediating role of organizational culture

The absence of intelligence leadership may lead to a failure to motivate employees within universities, which leads to adverse effects on organizational excellence, primarily if the prevailing organizational culture does not support the processes of development and success. Thus, organizational culture is expected to play an essential role in enhancing the leadership’s ability to use its intelligence to achieve organizational excellence. Accordingly, the study aims to identify the mediating role of organizational culture in the impact of leadership intelligence on achieving organizational excellence in Jordanian universities. Qualitative data were collected and quantitatively analyzed. A questionnaire was designed using a leadership intelligence scale and distributed to a sample of 371 faculty members in 33 Jordanian universities. The sample size was chosen according to the statistical tables, and this sample is considered statistically acceptable. The data were processed using structural equations using SPSS and AMOS software. The study concluded that there is an effect of intelligence leadership on organizational excellence. It was also found that organizational culture mediates the relationship between intelligence leadership and organizational excellence. Therefore, the study recommends that the decision makers in Jordanian universities strengthen intelligence leadership, with the need to establish clear foundations in the selection of university leaders, ensuring intelligence leaders’ existence.
EXPERIENTIAL LEARNING FOR STUDENT ADVANCEMENT: A STATE-OF-THE-ART IN HIGHER EDUCATION

When I stepped into teaching, I had a vision for teaching students to develop their learning skills and understand their learning capabilities. However, one of the most common questions students ask these days is “Which teacher gives more marks?” Despite, institutions and educators being responsible for developing students’ intellectual and interpersonal competences, the orthodox mode of memorizing for examinations and passing with the highest mark is a norm difficult to disentangle. Through this paper I am contemplating experiential learning as a state-of-the-art teaching and learning policy. Students, through such engagements, will become sensitized to the world around them, and especially the social, economic and environmental challenges that people face. Theoretical review was conducted in order to examine the need of experiential learning and how it is contributing to soft skills. The analysis revealed that experiential learning will reinforce the six outcomes: students will develop advanced learning skills; explore sustainable solutions; embrace diversity in their analytical thinking and lived practice; approach complex problems through an analysis of the interconnectedness of divergent sectors; foster creativity of thoughts and expressions through a critical appreciation of alternative practices; and display empathy and purpose through an examination of the ethical implications of their actions. Accordingly, experiential learning will help students become more analytical and skilled in solving complex problems through collaborative interventions. It will assist them in building confidence and develop a better understanding of themselves as part of a broader local and global community. Keywords: Experiential learning, Education, Students, Development, Traditional
LUNG SCANS SEGMENTATION USING MARKER-CONTROLLED WATERSHED TRANSFORMATION

Image segmentation is the process of partitioning a digital image into multiple segments knows as set of pixels. Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. It is the process of assigning a label to every pixel in an image such that pixels with the same label share certain visual characteristics. The Watershed Transform consists of an image partitioning into its constitutive regions. This transform is easily adapted to be used in different types of images and it allows distinguishing complex objects. The marker watershed transformation is an improvement one on the basis of the watershed transform, which is set a tag in the image. The tag can be a point, a line or an area, the importance is its location instead of the marked shape. Each tag represents the image of a final partition and selecting a tag is a key factor in the decision segmentation.
The Importance of the Public Global Parameter on Ring-LWE problem-based Key Encapsulation Mechanims

There are cryptographic systems that are secure against attacks by both quantum and classical computers. Some of these cryptographic systems are the Key Encapsulation Mechanisms (KEM) based on Ring-LWE problem. Some Ring-LWE problem-based KEMs include a public global parameter that is random and uniformly chosen. This parameter is used to generatea public key using in the process one secret key. In this work, we analyze some values of the public global parameter that leak information about the secret key.
A Multi-criteria Approach to Improve the Cyber Security Visibility Through Breach Attack Simulations

Cyber threats are increasingly present in our daily lives and represent a great risk for companies. In this sense, organisations run breach attack simulations to generate an action plan and recommendations that must be followed. However, these action plans are the result of the tacit knowledge of specialists. Upon this issue, this research proposes a formal and automatic method to generate prioritized action plans to improve the visibility of the environment. The method proposed here is demonstrated through an experiment, in which the results were consistent and useful for the scenario in which it was tested.
Problems Facing Primary School Teachers during Coronavirus Pandemic in Southern Marka District, Jordan

Objectives: This study aims to identify problems facing primary school teachers during the Coronavirus pandemic in Jordan based on their educational qualifications and years of experience.&#x0D; Methods: The study used a descriptive approach. The sample of the study consisted of (100) female teachers of elementary stage in Al-Mughairat in the Southern Marka District in Jordan during the first semester of the academic year 2020/2021. The sample was selected intentionally from the population. A questionnaire of (26) paragraphs was used to collect data.&#x0D; Results: The study results reveal that the problems facing primary stage teachers during the Coronavirus pandemic are numerous. These include difficulties related to financial conditions of families, inability to offer necessary equipment for distance education, lack of knowledge of parents on how to deal with e-learning platforms. The results indicate also that there are statistically significant differences (α = 0.05) between the study sample attributable to qualification in favor of higher diploma or higher.&#x0D; Conclusions: The study recommends paying more attention to improving the qualifications of female teachers and training them on how to design online courses.