Reviewerly/exHarmony huggingface dataset:
INSIGHTS FROM IT JOBS MARKET WITH TEXT MINING APPROACH

On the labor market, IT Jobs represent one of the most important domains. This paper analyzed the IT Jobs from a large collection of job listings from a Romanian website. The Web Crawling techniques were used to extract the data from the website, the Text Mining, World Cloud and statistic techniques to analyze and present the results. Insights that are required for an IT Job were extracted. The results highlight the following: the most required IT Job Type was the Full Time one, the Career Level was the Mid Level and the Study Level was the Graduated one. The Text Mining Approach revealed that the most frequent words for the IT Jobs offers were: team, work, development, project, experience, environment, service, skill, customer, knowledge and software. A comparison between terms in IT Jobs in English language versus IT Jobs in Romanian language was also performed. As conclusion, in this paper, by combining different techniques to extract and analyze the textual data set of vacancy offers knowledge from the IT Jobs domain was determined and discovered. The extracted information presented insights in current skills, personal needs, career paths of the Romanian current IT labor market needs. The results of this research could be valuable information for public bodies, employers, higher education policy makers, researchers, students and parents.
A Novel Algorithm of Joint Probability Data Association Based on Loss Function

In this paper, a joint probabilistic data association algorithm based on loss function (LJPDA) is proposed so that the computation load and accuracy of the multi-target tracking algorithm can be guaranteed simultaneously.Firstly, data association is divided in to three cases based on the relationship among validation gates and the number of measurements in the overlapping area for validation gates.Also the contribution coefficient is employed for evaluating the contribution of a measurement to a target, and the loss function, which reflects the cost of the new proposed data association algorithm, is defined.Moreover, the equation set of optimal contribution coefficient is given by minimizing the loss function, and the optimal contribution coefficient can be attained by using the Newton-Raphson method.In this way, the weighted value of each target can be achieved, and the data association among measurements and tracks can be realized.Finally, we compare performances of LJPDA proposed and joint probabilistic data association (JPDA) algorithm via numerical simulations, and much attention is paid on real-time performance and estimation error.Theoretical analysis and experimental results reveal that the LJPDA algorithm proposed exhibits small estimation error and low computation complexity.
Life competence of personality as a condition of life creation: origins and modern dimension

This article discusses current issues of personal developmentassociated with the formation of its vital competence. In particular,attention is paid to the problem of man, his place in the world, spirituallife, happiness, ways to achieve it throughout the history of worldscientific thought; the evolution of views on the essence of the concept oflife of the individual, which has its own history andspecifics, is analyzed. It was found that the study of this pedagogicalproblem is carried out on the border of the sciences of society andeducation, so in the philosophical and sociological literature partiallydeveloped a general theoretical foundation for studying the problem offorming the vital competence of the individual.
A Component Model for Managing Covid-19 Crisis

Covid-19 posed a serious threat to public health worldwide, especially in the absence of vaccines or medicines. The only viable strategies to combat a virus with a high infection rate were to apply lock-down strategies, transport ban, social and physical distancing. In this work, we provide a domain-specific component model for crisis management. The model allows for building a plan for managing Covid-19 crisis and use the plan as a template to generate a system specific for managing that crisis. The crisis component model is derived from X-MAN II, a generic component model that we have developed for the aircraft industry
Learning Mixed Arithmetic Operations Using WhatsApp Groups for Islamic Elementary School Students

The purpose of this study is to show whether WhatsApp groups can be one of the media for learning mixed arithmetic operations mathematics during the online learning process. This study uses a quantitative approach to the pre-experimental design method (one group pretest-posttest). The research subjects were 16 students of class VI Islamic elementary school. Students' knowledge of mixed arithmetic operations, when given a pretest, was 55.6%. After learning mixed arithmetic operations using the WhatsApp group, the post-test results increased to 57.5%. Based on these results, there was an increase in students' knowledge of 1.9%. This is because students understand learning using WhatsApp groups. So learning to use WhatsApp groups can slightly increase knowledge in mixed arithmetic operations.
Microsoft Windows vulnerable to 'wormable' BlueKeep malware, feds warn

Federal authorities are warning Microsoft Windows users to update their computers in response to a security vulnerability they said could allow a hacker to view, change and delete data using malware.
Updatable All-But-One Dual Projective Hashing and Its Applications

Dual projective hashing is an extension of Cramer-Shoup projective hashing, which implies lossy trapdoor functions (LTDFs) and deterministic PKE schemes secure with respect to hard-to-invert auxiliary input. In this paper, we introduce the notion of updatable all-but-one dual projective hashing (UDPH) based on the all-but-one variant of dual projective hashing, which allows us to investigate the continuous leakage of invisible key update in the same context. In particular, we give a general construction of leakage-resilient all-but-one LTDFs via UDPH, which yields high efficiency compared with existed direct leakage-resilient all-but-one LTDFs constructions based on MDDH and SXDH. Concretely, our generic framework can be instantiated with k-LIN, DCR, QR and LWE assumptions in the standard model. we present a modular framework for leakage-resilient deterministic PKEs with hard-to-invert auxiliary input, which is proven secure under the introduced continuous-leakage-resilient strong privacy indistinguishability-based security model of invisible key update. Compared with the known MDDH/SXDH-based schemes, our constructions can be instantiated with more widely-accepted assumptions including k-LIN, DCR, QR and LWE.
Educational Management Model of Sangha in Pathumthani Province Following of Policy One Sub-District One Mahãpariyatti

The objectives of this research article were1) to study of educational management model of Sangha in Pathumthani Province following of policy one Sub-District one Mahapariyatti,2) to study the development of Model Sangha’s Pali ecclesiastical management from a educational Management model of Sangha in Pathumthani Province following of Policy One Sub-District One Mahapariyatti, and 3) to check of educational Management model of Sangha in Pathumthani Province following of policy one Sub-District one Maha. The methodology identified mixed method between the quantitative and quantitative research methods. The qualitative research collected data from 15 key informants, purposefully selected collecting data by face-to-face in-depthinterviewing with the structured in-depth-interview. Data were analyzed bydescriptive interpretation. Data were also collected by focus group discussion with 9participants. Data were also analyzed by descriptive interpretation. The quantitativeresearch collected data with questionnaires from 150 samples, analyzing data with descriptive statistics as frequency, percentile, meanand standard deviation, SD. The research results found that: 1) The conditions of educational management model of Sangha in Pathumthani Province following of policy one Sub-District one Mahapariyatti. Divided into seven sins, manage, course, faculty, learning and teaching, Grading Assessment, learning resources at the high level in all aspects. 2) Thedevelopment of educational Management model of Sangha in Pathumthani Province following of Policy One Sub-District One Mahapariyatti. Development of structure learning and teaching as well. Set the indicator to be effective. Teachers pedagogical content knowledge. Together with used to teach by technology. To create an incentive to want to learn more. 3) The teaching should be adjusted to the current language, content, image, and having educational media at all level.Teachers must have a good knowledge is there a way to teach students and to understandhow to apply with modern pedagogical knowledge.
FRAUD DETECTION IN MOBILE APPLICATIONS

Clickbaiting is a developing marvels on the web,and it is characterized as a strategy for abusing psychological predispositions to pull in online viewership, that is, to draw in clicks. The articles behind misleading content sources are normally uninformative, furthermore adding to a general decrease in editorial trustworthiness, misleading content sources spread deception, regularly by making stunning, just to backtrack on those cases in the article. Clickbaiting can come in numerous structures, similar to ads, recordings, and such, however the issue is that sites are profoundly boosted to distribute misleading content articles since they are modest to create and can produce income. The primary inspiration in attempting to distinguish misleading content is to sift through possible wellsprings of falsehood on the internet. With the advancement of online ads, misleading content spread more extensive and more extensive. Misleading content disappoints clients on the grounds that the article content doesn't coordinate with their assumption. Consequently, misleading content recognition has pulled in increasingly more consideration as of late. Customary misleading content identification strategies depend on substantial component designing and neglect to recognize misleading content from typical features exactly in view of the restricted data in features. A convolutional neural network is valuable for misleading content recognition, since it uses pre-trained Word2Vec to comprehend the features semantically, and utilizes various bits to discover different attributes of the features. In any case, various kinds of articles will in general utilize various approaches to draw clients' consideration, and a pre-trained Word2Vec model can't recognize these various ways. We propose a novel methodology considering all data found in a web-based media post.
Fall Recognition System to Determine the Point of No Return in Real-Time

In this study, we collected data on human falls, occurring in four directions while walking or standing, and developed a fall recognition system based on the center of mass (COM). Fall data were collected from a lower-body motion data acquisition device comprising five inertial measurement unit sensors driven at 100 Hz and labeled based on the COM-norm. The data were learned to classify which stage of the fall a particular instance belongs to. It was confirmed that both the representative convolutional neural network learning model and the long short-term memory learning model were performed within a time of 10 ms on the embedded platform (Jetson TX2) and the recognition rate exceeded 94%. Accordingly, it is possible to verify the progress of the fall during the unbalanced and falling steps, which are classified by subdividing the critical step in which the real-time fall proceeds with the output of the fall recognition model every 10 ms. In addition, it was confirmed that a real-time fall can be judged by specifying the point of no return (PONR) near the point of entry of the falling down stage.
Медицинское образование в условиях ускоренной цифровизации образовательного процесса на фоне коронавирусной инфекции, вызванной вирусом COVID-19

Due to the pandemic caused by the coronavirus infection and universities’ switching to distance learning, digitalization of the educational process accelerated significantly. Digital technologies allow improving the quality of education, contribute to development of self-checking skills in students. However, the traditional educational systems are unable to adapt quickly to new methods of teaching, which can result in deviant behavior among students. The objective of the research — to study the level of student satisfaction with the effectiveness and quality of distance learning in the Privolzhsky Research Medical University (Nizhniy Novgorod, Russia). Materials and methods. 273 students took part in the study, during which they completed an anonymous online survey regarding the distance learning format. The students were asked to assess their psycho-emotional status using the HAM (Health, Activity, Mood) test, to assess the quality of the knowledge gained and to propose measures to improve the distance learning process. Results. The way the distance learning was organized at the university was highly appreciated by 29.4% of the surveyed students, 35.3% of the students were satisfied with the remote portal operation, 35.3% of the students were dissatisfied. All 100% of the respondents identified the absence of demonstration of practical skills, the impossibility of practicing them as disadvantages of distance learning, 48.3% of the respondents noted the lack of “live” communication with the instructor, 51.3% — noted the absence of “teamwork”. Conclusions. It was discovered that a student’s personal interest in the educational process is the major factor influencing the quality of education. To achieve a successful transition to distance learning it is necessary to organize it with a high quality and maintain student-teacher and student-student interaction in the distance format. The positive aspect of distance learning is that huge volume of educational material was created in the shortest possible time, new educational platforms and new communication skills were mastered.
Developing of Audio Visual Text Module on Congratulation and Compliment Expressions

Learning media is an important component in learning. One of the media that can be used is audio visual media. The aim of this study was to develop a feasible Audio Visual Text Module on Congratulation and Compliment Expressions as learning media.This reasearch was conducted at Karang Taruna RW 17 English Course Sei Langkai, Batam, and research and development (R&amp;D)Hannafin and Peck modelwas used. The instrument used to collect data in this research wasquestionnaireswhich validated by material and media experts, then shared to tutors and studentsusing a Likert scale. Product trial obtained 77.02% for students response and it was categorized as ‘agree’ category. Meanwhile it obtained 76.67% for tutor rensponse and it was categorized as ‘agree’ category.Usage trial obtained 87.07% for students response and it was categorized as ‘strongly agree’ category. Meanwhile it obtained 88.66 for tutor rensponse and it was categorized as ‘strongly agree’ category. The products of this research are module and audio visual (MP4) about Congratulating and Compliment Expressions, and both are neccessary to be used as learning media.
Zero-Knowledge Authentication

Zero-Knowledge proofs (ZKPs) enable proving of mathematical statements, revealing nothing but their validity. We design an authentication sys-tem with a ZKP as a password verification mech-anism within the Extensible Authentication Pro-tocol (EAP) framework. Designing a secure pass-word authentication system requires us to adopt security practices for protecting ourselves against the vulnerabilities of passwords. Integrating said practices is not trivial because of the tight cou-pling with the password verification method.
Discuss critically the contribution that a formal written collection development policy can make to managing the collections and services of a library or information unit, and analyse the constraints to formulating and administering a policy.

development policy serve as a guideline to help libraries to determine which information resource has a value to the library and which needs to be abandoned. The process of building and developing this policy must involve all people related to the library such as librarians and library users to guarantee that this policy will serve its purpose. This policy has many advantages to the library and helps it to carefully select the materials that will be included in its collection. However, there are some challenges that face libraries while using this policy in the acquisition process. The libraries are not able to acquire all information resources available as this will cost too much. Additionally, there are new types of information resources that might not be included in the policy which requires updating this policy regularly. The availably of this policy in the libraries is a necessity, but there is a need for caution while developing it to be suitable for library goals and users.
Constructing Interlinked Learning Resources for Integrated STEM Education Environment

The integration of STEM disciplines is increasingly advocated because it is one way to make learning more connected and relevant for students.How discipline integration can be achieved are varied, with reference to multidisciplinary, interdisciplinary, and transdisciplinary approaches adding to the debates.In integrated STEM education environment, teachers and students need to analyze and synthesize the learning content themselves through e.g.examining complex problems, using a variety of means and developing their own strategies to solve these problems.During this learning process, an explicit, well-organized and easy-to-reference learning resources will support the learning effectively.This paper focuses on how to organize learning resources for different integrated STEM pedagogical methods and learning tasks.Employing the idea of Web of Data and Linked Open Data, we describe the learning resources by semantic annotations understandable to both human and machines, and interlinking relevant resources according to the learning tasks and pedagogical methods.A user friendly resources searching, accessing, and visualization form in integrated STEM environment is also presented.By analyzing the goal and content of learning, an ontology is designed to represent the body of knowledge in STEM education, so the knowledge point in STEM education can be described by vocabularies in the ontology.These vocabularies serve as semantic tags for learning resources.We attach appropriate semantic tags to every learning resource by employing semantic annotation methods, and the learning resources will be organized and interlinked well according to their content and semantic information.Learners will take advantage of this content-based resources structure and improve the learning performance.Because we adopt standard data representation techniques, such as RDF, OWL and SPARQL etc., it will be convenient to implement and deploy the resources organization architecture in learning environment.We design a comparative experiment between semantic interlinked learning resources and non-semantic organized learning resources.Because of the support of semantic tag, it is easier to perform content-based semantic retrieval on semantic interlinked resources.From the aspects of student self-efficacy and learning achievement goals, we prove the effectiveness of interlinked learning resources organization proposed.
An Effective Techniques Using Apriori and Logistic Methods in Cloud Computing

This paper presents a creativity data prefetching scheme on the loading servers in distributed file systems for cloud computing. The server will get and piggybacked the frequent data from the client system, after analyzing the fetched data is forward to the client machine from the server. To place this technique to work, the data about client nodes is piggybacked onto the real client I/O requests, and then forwarded to the relevant storage server. Next, dual prediction algorithms have been proposed to calculation future block access operations for directing what data should be fetched on storage servers in advance. Finally, the prefetching data can be pressed to the relevant client device from the storage server. Over a series of evaluation experiments with a group of application benchmarks, we have demonstrated that our presented initiative prefetching technique can benefit distributed file systems for cloud environments to achieve better I/O performance. In particular, configuration-limited client machines in the cloud are not answerable for predicting I/O access operations, which can certainly contribute to preferable system performance on them.
CLASSIFICATION COMPLEX QUERY SQL FOR DATA LAKE MANAGEMENT USING MACHINE LEARNING

A query is a request for data or information from a database table or a combination of tables. It allows for a more accurate database search. SQL queries are divided into two types, namely, simple queries and complex queries. Complex SQL is the use of SQL queries that go beyond standard SQL by using the SELECT and WHERE commands. Complex SQL queries often involve the use of complex joins and subqueries, where the queries are nested in a WHERE clause. Complex SQL queries can be grouped into two types of queries, namely, Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) queries. In the implementation of complex SQL queries in the NoSQL database, a classification process is needed due to the varying data formats, namely, structured, semi-structured, and unstructured data. The classification process aims to make it easier for the query data to be organized by type of query. The classification method used in this research is the Naive Bayes Classifier (NBC) which is generally often used in text data, and the Support Vector Machine (SVM), which is known to work very well on data with large dimensions. The two methods will be compared to determine the best classification result. The results showed that SVM was 84.61% accurate in terms of classification, and comparatively, NBC was at 76.92%.
Rancang Bangun Sistem Penjualan Toko Optik Berbasis Web Menggunakan Metode Waterfall

The decline in community activities outside the home and restrictions on operating hours in the business world have a negative impact on the income and performance of the business world. This is the impact of restrictions on activities outside the home carried out by the government in order to reduce the spread of the covid 19 virus. For this reason, an innovation is needed that changes management governance and trade transactions that switch to online, so that business activities can run and remain active in the midst of current pandemic. One of the businesses affected by the impact is the Sinar Pratama Optical Shop in Gunung Sindur, which has limited operating hours and the number of visitors has decreased due to limited activities outside the home. Another problem at this time at the store is the time for making eyeglass sales reports which are quite long, and still using 3 copies of receipts for 1 sales transaction. To overcome this problem, an eyewear sales management information system was created, which can handle sales data and can make reports anywhere and anytime. Waterfall was chosen in the method used because it is considered more suitable if the need for each process is known. With the waterfall method, the creation of a web-based sales application at the Sinar Pratama Optical Shop can be completed in a predetermined time and the Sinar Pratama Optical Shop can sell goods and promotions on its own website and can compete during the current pandemic. In addition, making sales reports can be done more quickly because of the computational process and can be done anywhere.
Guides and Tutorials: Effective Communication 1 & 2: Detecting Bias

This guide will help you with all your research needs in both Effective Communications 1 and 2.