Reviewerly/exHarmony huggingface dataset:
FORMATION OF FUTURE SPECIALISTS’ PROFESSIONAL ANALYTICAL COMPETENCE AT ESTABLISHMENTS OF HIGHER EDUCATION

The article deals with the specific features of formation of future specialists' professional analytical competence at establishments of higher education.The following competencies are singled out in terms of future specialists' professional analytical competence: the ability to effectively search for information on the Internet, the ability to evaluate and classify data, the ability to turn information into knowledge, to analyze it, to store, to effectively apply and share the knowledge gained; to understand the basic principles of the development of the information environment, the ability to independently master new means of communication and work with information flows; the ability to conduct an effective discussion on the Internet, to present and defend their written work, including work in foreign-language online communities; skills to constantly monitor advanced scientific achievements in the field of their specialization; skills in working with basic statistical packages and network analysis programs.Another component is competency profiles related to the analysis and synthesis of the educational situation, include the following competencies: the ability for a comprehensive theoretical and situational analysis of pedagogical, socioeconomic and cultural processes in the educational environment; ability to comparative analysis and synthesis; the ability to combine multidisciplinary analytical tools in application to the solution of a specific theoretical problem; the ability to independently expand the portfolio of analytical tools; knowledge of the main global trends in the development of education and taking into account their impact on local institutions; the ability to visualize the data obtained in the framework of the analysis, the ability to scientifically interpret the data obtained; the ability to determine and develop indicators of the activities of educational communities, to build independent evaluation systems on their basis.
Tweet Sentiment Polarity Detection Based on Semantic Similarity

Nowadays, social networks such as Twitter or Facebook become a robust means of learning about the users' opinions and share their emotions towards specific subjects in a form of comments, to analysis these emotions sentiment analysis process is applied, which is used to discover the opinions of people on social media sites.It focuses on detection the polarity (positive, negative, or neutral).In recent years, it has been demonstrated that deep learning models are promising solution to the challenges of natural language processing (NLP).This study is devoted to apply semantic similarity approach for sentiment classification in addition to use lexical approach and Bag-of-Words model to perform a comparison among them.For examining the performance, precision, recall, accuracy, and F1 scores measurements with two datasets (STS-Test & SS-Tweet) for testing and sentiment140 for training have been used.The experimental results show the accuracy of the proposed approach about 81.0%.
Training and development opportunities and turnover intentions in automobile industries in Tamilnadu

The employee turnover intention refers to the withdrawal from the company. The Turnover intention is directly related to the overall job satisfaction by the employees of the organization. Greater job satisfaction means lower employee turnover rate and Lesser job satisfaction means greater employee turnover rate. The aim of this research is to investigate on how the training and development opportunities can influence the employee’s intentions to leave the company. This research is important because it will explore employees’ expectations with regard to various training and development opportunities available to them, as it is generally known that a majority of organizations have reduced spending on training and development of employees. In this research a quantitative method is adopted which will target the population of Automobile industry mainly the employees belonging to the Tamil Nadu firms. The method used is the survey questionnaire and there are 112 participants involved. The findings of this research suggested that, once the training is provided the employee is estimated to stay with the organization with a period of more than 5 years.
Sheaf semantics of termination-insensitive noninterference

We propose a new sheaf semantics for secure information flow over a space of abstract behaviors, based on synthetic domain theory: security classes are open/closed partitions, types are sheaves, and redaction of sensitive information corresponds to restricting a sheaf to a closed subspace. Our security-aware computational model satisfies termination-insensitive noninterference automatically, and therefore constitutes an intrinsic alternative to state of the art extrinsic/relational models of noninterference. Our semantics is the latest application of Sterling and Harper's recent re-interpretation of phase distinctions and noninterference in programming languages in terms of Artin gluing and topos-theoretic open/closed modalities. Prior applications include parametricity for ML modules, the proof of normalization for cubical type theory by Sterling and Angiuli, and the cost-aware logical framework of Niu et al. In this paper we employ the phase distinction perspective twice: first to reconstruct the syntax and semantics of secure information flow as a lattice of phase distinctions between "higher" and "lower" security, and second to verify the computational adequacy of our sheaf semantics vis-\`a-vis an extension of Abadi et al.'s dependency core calculus with a construct for declassifying termination channels.
Esai Kaitan Pembelajaran Bahasa dengan Lingkungan

Learning a language is closely related to the environment because the environment is a place for someone to acquire language. In addition, the environment can be used as a source of inspiration forbuild students' linguistic intelligence. Students can take advantage of natureas a source of inspiration through writing poetry with the theme of nature,describe natural wealth and damage, and report observations onenvironment. Therefore, learning Indonesian needs to accommodatewith the environment.
Code Verification for Practically Singular Equations

The method-of-moments implementation of the electric-field integral equation (EFIE) yields many code-verification challenges due to the various sources of numerical error and their possible interactions. Matters are further complicated by singular integrals, which arise from the presence of a Green's function. To address these singular integrals, an approach was previously presented wherein both the solution and Green's function are manufactured. Because the arising equations are poorly conditioned, they are reformulated as a set of constraints for an optimization problem that selects the solution closest to the manufactured solution. In this paper, we demonstrate how, for such practically singular systems of equations, computing the truncation error by inserting the exact solution into the discretized equations cannot detect certain orders of coding errors. On the other hand, the discretization error from the optimal solution is a more sensitive metric that can detect orders less than those of the expected convergence rate.
Viv - The Personal Voice Assistant

Abstract: Voice control is a major growing feature that changes the way people are living their lives. Since speech recognition and natural language processing continues to advance at a rapid stage, a virtual assistant's ability and efficiency to comprehend and perform tasks will grow as well. And as voice-recognition technology improves, virtual assistant use will deeply integrate into business workflows. Tomorrow's virtual assistants are going to be built with more advanced cognitive computing technologies, which can allow a virtual assistant to know and perform multistep requests and perform more complex tasks. Virtual assistants are cloud-based programs that need internet-connected devices and/or applications to work. Examples of such services are: Siri on Apple devices, Cortana on Microsoft devices, Google Assistant for Android devices, whereas Bixby for Samsung devices. Keywords: Desktop Assistant, Voice Recognition, Virtual Assistant, Text to Speech, Speech to Text, Language Processing, Python Script.
A Corpus for Understanding and Generating Moral Stories

Teaching morals is one of the most important purposes of storytelling.An essential ability for understanding and writing moral stories is bridging story plots and implied morals.Its challenges mainly lie in: (1) grasping knowledge about abstract concepts in morals, (2) capturing inter-event discourse relations in stories, and (3) aligning value preferences of stories and morals concerning good or bad behavior.In this paper, we propose two understanding tasks and two generation tasks to assess these abilities of machines.We present STORAL, a new dataset of Chinese and English human-written moral stories.We show the difficulty of the proposed tasks by testing various models with automatic and manual evaluation on STORAL.Furthermore, we present a retrieval-augmented algorithm that effectively exploits related concepts or events in training sets as additional guidance to improve performance on these tasks.
Face Recognition In Children: A Longitudinal Study

The lack of high fidelity and publicly available longitudinal children face datasets is one of the main limiting factors in the development of face recognition systems for children. In this work, we introduce the Young Face Aging (YFA) dataset for analyzing the performance of face recognition systems over short age-gaps in children. We expand previous work by comparing YFA with several publicly available cross-age adult datasets to quantify the effects of short age-gap in adults and children. Our analysis confirms a statistically significant and matcher independent decaying relationship between the match scores of ArcFace-Focal, MagFace, and Facenet matchers and the age-gap between the gallery and probe images in children, even at the short age-gap of 6 months. However, our result indicates that the low verification performance reported in previous work might be due to the intra-class structure of the matcher and the lower quality of the samples. Our experiment using YFA and a state-of-the-art, quality-aware face matcher (MagFace) indicates 98.3% and 94.9% TAR at 0.1% FAR over 6 and 36 Months age-gaps, respectively, suggesting that face recognition may be feasible for children for age-gaps of up to three years.
An Intelligent Social-based Assistant Application for Study Time Management using Artificial Intelligence and Natural Language Processing

The question that we aim to solve is “How will elderly people be able to increase their productivity and remember their tasks?” There are many ways to go about answering this question, but we have devised a simple solution to this question that can directly and quickly have a positive impact on these individuals. Our method to solving this is creating a to-do list in Flutter, which will allow elderly people to have easy access to a list of tasks that they have to complete [5]. Some predicted results of this to-do list is that it can raise productivity for its users. Our to-do list features a ChatBot, which talks to the user through a message-like system in order to prompt user input for specific details such as the time, date, and main description of the task [6]. Then, the ChatBot will take in all this information to produce a clean and concise final task description that takes keywords from the user-inputted description. This provides users of our to-do list with an alternative method of adding tasks, which may be greatly appreciated by those who are less able-bodied or struggle to type. By offering the elderly a way of adding tasks that can take less typing, these individuals may rely on this to-do list as a great convenience to their lives.
An Immersion and Invariance Controller for Aerial Manipulation

For aerial manipulators, a steady flight must be guaranteed to perform safe interaction with the surrounding environment. This paper focuses on the development of a position control algorithm for an aerial manipulator system (AMS). The position control algorithm is based on the Immersion and Invariance (I&amp;I) theory. The proposed controller maintains the position of the aerial manipulator at the desired point under external and internal disturbances. The control architecture uses a Visual-SLAM technique using on-board sensors for AMS positioning. A series of outdoor experimental tests are performed to demonstrate the effectiveness of the proposed control strategy.
Element Hunt (Educational Game)

This paper is based on an in-depth analysis of a gaming system and how it is beneficial to the young generation for solving different problems and uplifting Indian ethos.The system is a game application that utilizes the concept of the periodic table of chemistry.Keeping the interests of children in mind, we have designed this system that is based on the concept of the periodic table of chemistry.Each level represents an element of the periodic table and the properties of the elements are utilized to generate a solution for a given problem.The game has four steps: (i) Storytelling that emphasizes Indian ethos, (ii) Play and complete a specific level, (iii) Attempt and pass the MCQ.Thus, the objective of our research work is to enable the youth to gain knowledge in the specific field by playing this educational game.
Digital transformation: basic approaches to defining the notion

Problem statement. Changes in society in connection with the diversity of the use of information and communication technologies, has led to the active use of the concept of digital transformation. A complex polysemic notion describes a multifactorial phenomenon, which necessitates an interdisciplinary approach to the analysis of the concepts content. Methodology. This study used bibliometric analysis of the Russian electronic database with built-in analysis tools. The quantitative and qualitative characteristics of open sources on the topic of Digitalization of education were analyzed using closed search systems and machine analysis of large texts, such as Microsoft Academic Graph and Dimensions.ai. Content analysis and thematic monitoring were carried out using the keywords digitalization of education, digital transformation, and digital transformation of higher education. The assessment of the level of interest in this topic was carried out according to the statistics of queries using the wordstat.ru resource. Results. The term digital transformation analyzed in a broad context. Digital transformation is defined using philosophical and cultural approaches. The axiological approach sets a broad framework for discussion and requires additional research. Conclusion. A sample of both Russian and foreign works on the problem of digital transformation was made using various means of statistical analysis. Three approaches to the analysis of digital transformation are considered, definitions are formulated and the need to study the transformation of education using an anthropological approach is substantiated.
Effects of Exposure of Cement Dust on Platelet Count in Workers of a Cement Mill

Introduction: Cement dust is emitted during the different steps of cement production. This dust is composed of chemical components that may have unfavourable effects on the haematological system. The workers in these factories are exposed daily to this toxic dust. Those exposed to the cement dust may suffer from changes in platelet count and eventually suffer from damaging effects on the cardiovascular system. Objective: Assess the effects of cement dust on platelet count of cement mill workers. Materials and Methods: Conduction of this cross sectional study took place in the Department of Physiology, Dhaka Medical College, Dhaka between July 2017 to June 2018. After fulfilling the ethical consideration, 46 apparently healthy male cement mill workers, working for 2 or more years in a cement mill , with range of age of 20 to 50 years (study group) and 46 BMI, age and socioeconomic condition matched apparently healthy male subjects from Dhaka city were control group. The platelet count was estimated using automated haematology analyzer in Dhaka Medical College Hospital, Dhaka. Data was collected in a pre-designed structured questionnaire form. Unpaired Student’s ‘t’ test and Pearson’s correlation coefficient test were performed for statistical analysis. Results: In this study, the platelet count was significantly (p &lt; 0.05) higher than those of control group. The platelet count was directly related with duration of cement dust exposure. Conclusions: This study concludes that the cement dust has harmful effect on the platelet count and the duration of exposure to cement dust also has an effect on this parameter. Medicine Today 2022 Vol.34(1): 44-46
Quantum Reservoir Parameter Estimation via Fisher Information

In this study, we show that as a result of weak interaction of different information environments structured with a single probe qubit, these environments can perform binary classification of the information they contain. In this way, we refer to these environments as quantum information baths because they consist of sequences of identical qubits in certain pure quantum states. A micro-maser like master equation has been developed to clearly describe the system dynamics analytically and the quantum states of different information reservoirs. The model can also be treated as a quantum neuron, due to the single-qubit probe that makes a binary decision depending on the reservoir parameters in its steady state. The numerical results of the repeated interaction process based on the divisibility and additivity of the quantum dynamic maps are compared with the analytical results. Besides being a single quantum classifier, the model we present can also serve as a basic unit of a quantum neural network within the framework of the dissipative model of quantum computing.
A View into YouTube View Fraud

Social media platforms are driven by user engagement metrics. Unfortunately, such metrics are susceptible to manipulation and expose the platforms to abuse. Video view fraud is a unique class of fake engagement abuse on video-sharing platforms, such as YouTube, where the view count of videos is artificially inflated. There exists limited research on such abuse, and prior work focused on automated or bot-driven approaches. In this paper, we explore organic or human-driven approaches to view fraud, conducting a case study on a long-running YouTube view fraud campaign operated on a popular free video streaming service, 123Movies. Before 123Movies users are allowed to access a stream on the service, they must watch an unsolicited YouTube video displayed as a pre-roll advertisement. Due to 123Movies’ popularity, this activity drives large-scale YouTube view fraud. In this study, we reverse-engineer how 123Movies distributes these YouTube videos as pre-roll advertisements, and track the YouTube videos involved over a 9-month period. For a subset of these videos, we monitor their view counts and metrics for their respective YouTube channels over the same period. Our analysis reveals the characteristics of YouTube channels and videos participating in this view fraud, as well as the efficacy of such view fraud efforts. Ultimately, our study provides empirical grounding on organic YouTube view fraud.
AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks

With the booming demand for machine learning applications, it has been recognized that the number of knowledgeable data scientists can not scale with the growing data volumes and application needs in our digital world. In response to this demand, several automated machine learning (AutoML) frameworks have been developed to fill the gap of human expertise by automating the process of building machine learning pipelines. Each framework comes with different heuristics-based design decisions. In this study, we present a comprehensive evaluation and comparison of the performance characteristics of six popular AutoML frameworks, namely, AutoWeka, AutoSKlearn, TPOT, Recipe, ATM, and SmartML, across 100 data sets from established AutoML benchmark suites. Our experimental evaluation considers different aspects for its comparison, including the performance impact of several design decisions, including time budget, size of search space, meta-learning, and ensemble construction. The results of our study reveal various interesting insights that can significantly guide and impact the design of AutoML frameworks.
MENINGKATKAN LITERASI DAN MINAT BACA ANGGOTA TAMAN BACA ABDUROHMAN

This service activity is a collaboration between the Service Team and Taman Baca Abdurohman. Taman Baca Abdurohman at the beginning of its establishment was the initiation of a community group in RT.13/08 Panjatan, Kulon Progo. The purpose of establishing the Taman Baca Abdurohman is to facilitate children in the surrounding environment who like to read or want to read but are hindered by economic affordability. In addition, the purpose of establishing the Taman Baca Abdurohman is to increase interest in reading and improve literacy, especially for children around and in general the community in the reading park environment is located. Children as the main users of the benefits of Taman Baca Abdurohman's have a tendency to like folklore and fairy tales. With the advancement of science and technology, of course, adjustments must be made by Taman Baca Abdurohman. The service team and partner cooperation programs implemented to achieve these goals are empowerment and mentoring. Empowerment activities are carried out through adding to the collection of books in Abdurohman's reading park and implementing empowerment for PKK mothers around the reading park locations, mentoring activities are carried out through the provision of English language tutoring and competitions. The results of the evaluation of the service program showed that there was an increase in the number of visits by members of the Taman Baca Abdurohman and the general public to the place. So it can be concluded that the solution provided by the service team is appropriate to overcome the problems that exist in Taman Baca Abdurohman's.
Learning Writing Experience: A Comparative Study Between Offline and Online Writing Learning in Junior High School

Many researchers have conducted research on online learning systems, but in Indonesia, online learning experiences occur more during the COVID-19 pandemic, including junior high school students. Students switch from learning writing in the classroom to distance learning (online). This resulted in students undergoing two different experiences in learning to write EFL. Seeing this, the authorsried to conduct research on the comparison of student satisfaction in learning writing between offline and online classes. The subjects of this study were 40 students of 8th-grade junior high school from UPT SMP Negeri 32 Gresik. The method was a mixed method using questionnaires and interviews. The results indicated that there were valid differences between offline and online students' writing learning satisfaction. From the independent sample T-Test, it is stated that the value of sig. tailed 2 is 0.000 &lt;0.05, which means that the results were proved to be valid and showed a satisfaction score difference between learning writing in offline and online classes. The authors also describe the findings of the comparison into the following three factors, namely instructor-related factor, learner-related factor, and learning environment-related factor. The conclusion obtained is that students prefer to learn writing in offline classes, but the experience gained from learning writing online is very good and has its own satisfaction value.