Reviewerly/exHarmony huggingface dataset:
Optimized load balance scheduling algorithm

The cloud computing environment faces several challenges as a federation of clouds, controlling the traffic flow, scalability, and balancing the load on virtual machines that are considered the most crucial issue due to their impact on the execution time, resource utilization, and cost. This paper is interested in some of the existing algorithms that distribute the workload evenly. These algorithms aim to avoid the blind assignment that often results in some over-loaded servers while another node might be under-loaded. In this work a combination of two inspired metaheuristic algorithms BAT and cuckoo search was proposed; the first algorithm can utilize fast exploration using global search, the latter algorithm can avoid trapping into BAT local optimum problem using levy flight with a far random walk. Additonaly, the proposed algorithm could be used to mitigate distributed denial of service (DDoS) attack that aims to cause endless load on the servers and stop the service. Experimental results for five virtual machine (VM), ten VM, with the varying number of tasks showed that the proposed algorithm has better resource utilization and less makespan time in almost all the cases.
It always happens over lunch!: The powerful serendipity of informal networking

How did five science librarians in four different U.S. time zones end up going on (virtual) tour together, giving presentations at two national conferences, one ACRL webinar, and three workshops on five campuses?It all started with lunch.In February 2020, the American Association for the Advancement of Science (AAAS) Annual Meeting was held in Seattle, Washington.Each year, the ACRL liaison to AAAS sends out a survey that offers 30 sponsored registrations to the conference, solicits lightning talks for the librarians' meeting, offers roommate matching, sets up local tours, and schedules lunch-arounds in walking distance from the main meeting venue.The 2020 liaison, Roxanne Bogucka, arranged for a tour of the University of Washington libraries and lunch at a small Salvadoran restaurant in the U-District.At lunch, we talked about the conference (Bill Gates spoke), what we were all working on at our respective libraries, who was on the tenure track and how they were aiming to get it, the future of publishing and open access, and how often (or not) we got a chance to eat Salvadoran food.We also talked about librarians who had presented at AAAS before, and some of the topics they had covered.We all agreed that we wished more librarians would submit proposals for AAAS, and that we represented an important viewpoint that was necessary at a national science conference.Together, we headed back to the conference venue to watch the lightning talks at the librarians' meeting.Listening to the work being done by our colleagues stimulated all kinds of ideas to take home, as well as surfacing common challenges that STEM librarians share.These lightning talks led us to discover a shared interest in submitting a proposal for a librarian-led workshop for the 2021 AAAS meeting, both for the opportunity to reach out beyond libraryland to address scholarly communication issues and to give back to AAAS in appreciation for its commitment to including librarians in its annual meetings.Once we all got back from Seattle, Bogucka sent out a survey to connect sponsored librarians who wanted to collaborate on session proposals.This led to the formation of a team of librarians across the country who were interested in collaborating on a proposal for AAAS 2021
Transformational Leadership and Its Impact on Creativity in the University of Science and Technology Hospital – Sana'a

The current study aimed at measuring the impact of transformational leadership on creativity at the University of Science and Technology Hospital in the Capital Secretariat (Sana'a). The study population consisted of 1022 staff of the University of Science and Technology Hospital (USTH). To achieve the objectives of the study, the descriptive analytical method was employed and a questionnaire was used to collect data from a sample of 279 participants; however, only 252 questionnaires were valid for analysis. The data were processed and analyzed by using the SPSS. The findings revealed a significant positive impact of transformational leadership in its four dimensions, (i.e. ideal impact, inspirational motivation, intellectual stimulation and individual consideration), on creativity. The findings also showed that the practice of the senior management leaders of USTH reflected behaviors of transformational leaders substantially. The dimension of ideal impact was ranked first, followed by intellectual stimulation. The dimensions of inspirational motivation and individual consideration were ranked third and fourth respectively. The study recommends that more attention should be given to transformational leadership due to its positive impact on creativity.
image construction of the City Yiwu in overseas media

Every year, hundreds of thousands of businessmen from all over the world flood into Yiwu, a small commodity town known as “The world's largest small commodity trading market.” As Yiwu’s slogan says, “ Buy from the world, and sell to the world.” This small town has been influencing the world using its own style. This paper extracted 1413 sentences from the Now Corpus using the keyword "Yiwu." We divided data into two time periods: 2010-2015 and 2016-2021, and made an in-depth analysis of Yiwu's overseas image with the change of timeline. The research results showed that with the gradual maturity of projects such as "China-Europe Freight Train" and "Yiwu Fair," Yiwu's oversea image has become more positive during these 12 years. Moreover, Yiwu has gradually become a modern city integrating with the world instead of a world-famous “Christmas factory." Importantly, residents of Yiwu have been influencing the world with their unique wisdom.
Perception of Undergraduate Students on the Utilization of Social Media to Enhance Learning in University of Ilorin

The objective of this study was to (i) investigate the available social media used by undergraduates for Learning, (ii) examine frequency of utilization of social media to facilitate learning, and (iii) examine undergraduates’ perception of the use of social media to facilitate learning. The study employed descriptive research of the survey type to elicit responses from 258 undergraduates. The research questions were answered considering independent t-test statistics. The results indicated that (i) majority of the social media available and adequate within the university, (ii) social media frequently used to enhance learning, (iii) a positive perception towards the use of social media in instruction, and (iv) no significant difference between male and female students in the frequency of use of social media and students’ perception on the use of social media for learning. Undergraduate students should adopt the use of social media for learning since this technology is useful for learning. Seminars, workshops, and conferences should be organized for male and female undergraduates on the usefulness of social media for learning since it is no gender bias.
Object-Based Geometric Distortion Metric for Viewport Rendering of 360° Images

To visualize omnidirectional (or 360°) visual content, a sphere to plane projection is employed, that maps pixels from the observed sphere region to a 2D image, called as <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">viewport</i> . However, this projection introduces geometrical distortions on the rendered image, such as object shape stretching, or shearing, and bending of straight lines, which may affect the user’s quality of experience (QoE). This paper proposes an object-based quality metric to assess the subjective impact of the objects shape deformation. The metric uses semantic segmentation to identify the relevant objects in the viewport, where the stretching distortion has a higher perceptual impact, and computes the stretching distortion for each object. Two distinct approaches were exploited and evaluated: the first one, directly computes and compares object shape measures on the sphere and on the viewport; the second one is based on Tissot indicatrices, which are computed for individual objects in the viewport. The experimental results show that while the Tissot based method performs slightly better than the direct shape measurement, both approaches outperform benchmark solutions; furthermore, they are able to classify the viewport quality, with respect to quality scores obtained in a subjective crowdsourcing study, with a correct decision percentage close to 90%. Additionally, the Tissot based approach was used in a global quality metric that finds out the Pannini projection parameters that result in the least perceivable geometric distortion. It is shown that the automatically tuned Pannini projection results in viewports with a more pleasant visual quality than the considered benchmark projections.
Security Threats and Legalities with Digitalization in Nepal

As the process of digitalization spreads globally, daily dependence on cyberspace is increasing. With the rise of criminal incidents in cyberspace, it has begun to pose security threats that disrupt peace and order. In a chaotic situation with the global pandemic of Coronavirus disease (COVID-19), digitalization has become a mandatory process in the world. Along with the mandatory process of digitization and increasing trend of digitalization in Nepal, there is also a possibility of security threat. This research paper seeks and examines policies and laws that the Government of Nepal has formulated to reduce the security threat and it explored to find out what types of security threats were seen from cyberspace in Nepal during several lockdown periods during 2020 AD. The study concludes that Nepal has laws to legalize digital activities with constitutional rights to do cyber activity. But does not have enough laws and policies to address the emerging cyber threat environment because of the long process of passing the law and lack of sufficient interest and knowledge on lawmakers. The risk of cyber security in Nepal seems to be high due to non-implementation of the policies and rules issued by the government itself, low level of cyber security awareness among the people, lack of strong defense system and policy on cyber-attacks.
OPTIMALISASI POJOK BACA SEBAGAI IMPLEMENTASI GERAKAN LITERASI MASYARAKAT DI DESA PLODONGAN, KECAMATAN SUKOHARJO, KABUPATEN WONOSOBO

Literation is one of the things that is intensively echoed by the government. This reading culture is a prerequisite as well as a symbol of the progress of a nation. The progress of a nation is largely determined by the extent of people awareness to increase their knowledge. Apart from formal education, increasing public knowledge can also be done through increasing interest in reading and a good literacy culture. The existence of a library in village will greatly help this movement. During the implementation of PHP2D in Plodongan Village, Sukoharjo District, Wonosobo Regency, team already provided a Café Library that integrate café and library concept. Through the Village Empowerment Development Program (P3D) further activities were carried out in the form of optimizing the village reading corner which was carried out by providing reading corners at three points in Plodongan Village, adding book collections, updating library administration, and various teaching activities, socialization as well as literacy habituation. This activity is expected to increase people's interest in reading so that people can access a variety of information and knowledge to improve the quality and standard of living.
EXPLORING CONSTRUCTED VISUAL REPRESENTATION OF SELF: A SEMIOTIC ANALYSIS OF FACEBOOK SELFIES

Development of various social media platforms allow people to create and share self-representation. Among all platforms Facebook is the most popular for constructing visual self-representation through selfies. Therefore, the current study aims to investigate the constructed visual representation of self (signs and symbols) through selfies posted by Facebook users. Semiotic analysis is used to analyze a sample of twenty selfies from five profiles by setting different indicators. Self-awareness, look at me, here I am, what am I wearing and look at this are some of the most significant indicators observed during the analysis. Results indicate that for self-portrayal Facebook users apply different signs and symbols like stretch arms, tilt of head, etc. It is concluded that representation of self through selfies increase the feelings of self-awareness and allows the person to live the time with others on their facebook profiles. Keywords: Selfie, Visual Representation of self, Facebook, semiotic analysis
SMAP FRAMEWORK: A NOSQL SOLUTION FOR MANAGING A JSON KNOWLEDGE BASE OF SMART POLITICAL DOCUMENTS

This paper is devoted to developing a MongoDB framework for managing a JSON Knowledge base of “Smart Political Documents” (SPD). For this purpose, we designed a full knowledge base in a JSON Repository that runs under a MongoDB NoSQL server. The study of the experimentally collected data from the United Nations site has shown that our SPD knowledge base will contain various information using different formats (text, image, audio, video, etc.). The representation of these data requires both hierarchical and relational models. In this respect, we are proposing a NoSQL data model based on both JSON data and relational representation. JSON collections can be related to one another to complete information by special JSON properties. We have also defined a JSON Query Language for SMAP, SPQL (Smart Politics Query Language), which provided a powerful environment for integrating these disparate forms of data. In this paper, we will so describe the repository architecture, a Speech Labeling Technique used to associate information to spoken discourses, and finally, the whole SMArt Political documents (SMAP) framework that is based on a 3-tiers architecture and a Big Data environment with automatic deductions from the analysis of these data. The new system's purpose is to offer the end-user an intelligent way to quickly find the desired documents with all semantic links between them—something impossible in the system's initial state. The actual novelty of the system is represented mainly by the combination of the NoSQL feature with a relational model and an intelligent linked data system.
Adaptive Security Framework for the Blockchain on IOT

Current blockchain technologies lack adapt- ability required to accommodate incoming heterogeneous devices as nodes in the Blockchain network. This inability becomes more pronounced when it comes to blockchains for Internet of Things (IOT) due to varied capabilities and heterogeneity of constituent devices in IOT network. Specifically, security solutions which are used by Blockchain in IoT domain lack support for adapting with different network resources, ranging from low power devices to high end servers. This paper presents an adaptive security framework for blockchain based IOT architectures. The security framework consists of a dynamic resource computation algorithm based on which the network adapts to the existing resources and decides which security services to offer.
Theories and cognitive models of postnonclassical learning in natural science education

Introduction. The cognitive models formed in post – non-classical science-the theory of systems, the theory of self-organization and management, which were developed in natural science, are now widely used in social and humanitarian research. However, they have not yet been properly reflected in the content of natural science education of future employees of these fields – graduates of social, humanitarian and pedagogical departments of higher education institutions. The purpose of this study: theoretical and methodological justification, development and testing of a set of methodological tools for adapting cognitive models of post-non-classical science in the content of natural science education of students of social and humanitarian fields of higher education. Methodology and methods. The methodological basis of the research is based on the ideas of the system-synergetic approach, works on the philosophy and methodology of education, fundamental positions and basic principles of modern didactics. The theoretical basis is the works of domestic and foreign scientists on the development of the content of education, educational technologies and the organization of the educational process at the University. Used – modeling and forecasting, analysis and synthesis, observation, questioning, testing, experimental work. Results and scientific novelty. The theoretical and methodological justification of the need to adapt cognitive models of post-non-classical science in the content of natural science education of the Humanities is given, and the principles are defined. The complex has a linear-concentric structure and includes a basic training course, a system of elective training courses and interdisciplinary modules, technologies and teaching methods that support it. During testing of the complex was performed: ability to operate basic concepts of post-nonclassical science and apply them to describe the behavior of social and natural systems of different complexity, the volume of natural Sciences students ' knowledge, proficiency with the operation of their transfer to other subject areas.
Effectiveness of heads of rural schools with low educational results

The article presents the results of the study of the effectiveness of heads of rural schools with low educational results, actualizes the problem of evaluating the effectiveness of heads of educational organizations. The work was carried out in accordance with the order of the Department of Education of the Yaroslavl region dated from 15.06.2020 № 158/01 03 «On approval of the Regulations on the regional system for monitoring the effectiveness of heads of educational organizations of the Yaroslavl region and regional indicators for evaluating the effectiveness of heads of educational organizations». The purpose of the study is based on the analysis of data on the formation of professional competencies of a manager and the quality of managerial activity, to justify the need to develop new, update existing additional professional programs for managerial workers; the introduction of innovative tools, techniques and technologies in their implementation, the use of individual professional development trajectories; the introduction of additional measures to increase the motivation of managerial workers to professional development; encourage the exchange of experience and best management practices. Special sources are considered and analyzed, the definition of the effectiveness of the head is given, the empirical experience of diagnosing the effectiveness of the head is proposed based on data on the results of the organization's activities and the creation of conditions for the implementation of educational programs. The developed model includes a system of indicators for assessing the degree of formation of professional competencies of educational organizations heads in the region. As a result of the study, the problems and difficulties associated with improving the quality of management in the studied schools are identified. The results presented in the article were discussed at a meeting of the Coordinating Council for Working with Schools with Low Learning Outcomes and brought to the attention of the heads of the analyzed schools. Experience shows that the results of timely and periodic monitoring of the effectiveness of managers can be used to make managerial decisions both at the level of an educational organization and at the level of municipal districts and the region.
Evaluation of The Distance Learning System Success of Apparatus Training: User Satisfaction Mediation

This research aims to find out the influence of system quality and service quality of distance learning system on user satisfaction and the achievement of learning outcomes of trainees during the covid-19 pandemic era at the Financial Education and Training Agency of Makassar. In addition, the study also aims to examine how the role of user satisfaction in mediating the influence of system quality and service quality of distance learning systems on learning outcomes. This study used data obtained from respondents through questionnaires and quantitative approaches through component or variant-based of Structural Equation Modelling (SEM) techniques with Partial Least Square (PLS). The results show that in general the distance learning system has fully run well and successfully based on indicators of DeLone and McLean model. The system quality significantly has positive influence on user satisfaction, service quality significantly has positive influence on user satisfaction and user satisfaction also significantly has positive influence the learning outcomes. Meanwhile, user satisfaction can be a mediator in strengthening the influence of system quality service quality on learning outcomes. Financial Education and Training Agency of Makassar is expected to maintain and improve the quality of systems and services in the existing distance learning system in order to maintain and improve the satisfaction of trainees and learning outcomes.
Hybrid Starling Social Spider Algorithm for Energy and Load Aware Task Scheduling in Cloud Computing

The efficiency of the cloud-based systems is greatly relying on the task scheduling algorithm which affects the performance parameters such as makespan, response time, degree of imbalance and cost. In recent years, the energy efficiency is also considered as another challenging issue which affects the efficiency of cloud computing systems. This paper proposes a Hybrid Starling Social Spider Algorithm (Starling-SSA) for Energy and Load Aware Task Scheduling in cloud computing. The Starling-SSA is designed as a hybrid algorithm inspired by the intelligent behavior of social spider and the collective response behavior of starling birds. The foraging behavior of spider is implemented to identify the best VMs for the given task with minimum makespan and degree of imbalance. In addition to this, the distance factor is incorporated inspired by starling flock distance in order identify the closeness of VM pairs and avoids the VMs that are far away, thereby VMs can be limited during the searching process. This will greatly reduce energy consumption by taking only VMs that are belongs to the distance factor. The performance metrics such as makespan, degree of imbalance and energy efficiency are evaluated against the existing algorithms such as EATS, CBAT and HC-ACO. The results presents a significant improvements when comparing to the existing algorithms.