Reviewerly/exHarmony huggingface dataset:
EDUCATION AND ITS ROLE IN THE MORAL AND COGNITIVE CHANGE OF YOUNG PEOPLE

The educational institution today is one of the most important institutions that works to achieve and disseminate knowledge values among its members, and since the educational institution is at the same time a social institution, it reflects the goals, principles, values, behaviors and knowledge of that society to which it belongs through a set of concepts and values associated with each other to lead Its role is to immunize members of society in general and the youth group in particular against the fierce attack that young people are exposed to, threatening their Arab identity, social fabric and national affiliation to lead them to change the style and style of their culture and their knowledge and societal values. What the world is witnessing today in terms of rapid events and changes represented by the moral and cognitive change that surrounded many aspects of the lives of young people, as a result of the great cultural openness and the intellectual invasion of various modern technological means whose impact has become vast on generations, especially the youth among them, as young people have become chanting phrases, concepts and behaviors that are not complete in our society. The matter went beyond defending these misconceptions, which necessitated the solidarity of all members of society, especially education and all its institutions, to restore the lost balance and defend our lofty values. The Iraqi society was characterized by preserving the system of values, customs, knowledge and general principles until 2003 as it was a closed society and after that year and the rapid changes and transformations it was subjected to following its sudden and unprecedented contact with the outside world, in addition to the rapid deterioration in the economic and political conditions and the security chaos are all factors They gathered to lead individuals in general and youth in particular to excessive use of modern technological means and an attempt to imitate and copy everything they saw without taking into account the values and knowledge of our society. The study was prepared according to three sections. In the first section, we dealt with the subject of the study, its importance and objectives, with a statement of the most important concepts and terms contained therein‎.
Theory of Meaning Change in the Procedural Text Material

The background of this research is because students often confide in the researcher. They want material that is contemporary, contextual, nor merely textual. Therefore, the researcher took one of the materials about the procedural text combined with the theory of meaning change. The procedural text that the researcher used was a text about how to make crafts out of paper. The purpose of this study was to determine the benefits of the theory of meaning change in the procedural text material for class VII students. The method that researcher used in this research is descriptive analysis. The researcher took the theory of meaning change literature by Abdul Chaer. The results of this study indicate that theory of meaning change is beneficial when it is translated into procedural text material. Last, the conclusion of this research shows that theory of meaning change is beneficial when combined with procedural text material.
Students’ Impoliteness Strategy During Online Learning in ‎Covid-19 Pandemic

Politeness is a societal norm and a special strategy applied by humans to facilitate and ‎maintain the sustainability of their social relationships. The opposite condition of the concept ‎of politeness is impoliteness. If politeness maintains the continuity of human social relations, ‎then impoliteness can cause disturbances, misunderstandings, and damage to social relations ‎that affect the ideal conditions of social harmony. This study aims to explain the impoliteness ‎strategies used by MTS Ma'arif Andong students in online learning through the WhatsApp ‎application. The research method used in this research is descriptive qualitative research ‎method. The data is the speech of students' impoliteness via WhatsApp. The data source of ‎this research is a document in the form of a screenshot of a class WhatsApp group ‎conversation. Data triangulation was used to test the validity of the data in this study. Data ‎analysis is done by interpreting the data that has been collected. The results of the study ‎found eight impolite speeches that matched the impoliteness strategy by Culpeper (2005). ‎From the five impoliteness strategies, four impoliteness strategies were found that match the ‎data, namely bald on record impoliteness, positive impoliteness, negative impoliteness, and ‎sarcasm or mock politeness.‎
Information revolution: socioanthropological and worldview transformations

It is shown that the critical factor in the modern reality is not only the emergence of a new information and communication field, radically transforming the usual infrastructure of social life, but also the explosive growth of the speed of change caused by the rapid development of digital technology. Attention is drawn to the qualitative leap in the speed of development, which refers to the transition to a reality where radical changes in technological infrastructure and the resulting changes in the life of society began to occur repeatedly in the course of a single human life, in real time. It is argued that as a result of the information revolution a new order of uncertainty has arisen, which requires a new way of thinking on the part of man. The problem of minimally correct forecasting in the main spheres of social being is analyzed.
PHYSICS AND PHILOSOPHICAL ONTOLOGY: FORMS OF INTERNAL UNITY

It is shown that physics and philosophical ontology in the bases are involved in the same general being. However these sources are unevident for the physics, they are covered by construction of theoretical schemes. Ways of ontological interpretation of physics and the problems connected with them are analyzed.
Rancang Bangun Layanan Kesehatan dan Keselamatan Kerja Go-Health Untuk Klinik Perusahaan

Occupational health and safety services must be provided by the company as regulated in government regulations. To make it easier for companies to provide occupational health and safety services, cloud-based services are needed that can be accessed from various devices. In contrast to public health services, company health services are required to provide work safety reports. The purpose of developing this service is to help employees get effective health services, make it easier for medical personnel to provide health services, avoid queues, shorten health service times and make it easier for companies to get occupational health and safety reports. The research method used is direct observation and system development using the waterfall method. Health services in the form of an online information system application can provide benefits for employees to facilitate consulting services and purchasing drugs. While the benefits for the company as risk control related to work activities. To create a safe, efficient and productive workplace. The results of this health service design are service prototypes that have been tested. With the support of this cloud-based service, it is easier for employees to be based on Android by taking advantage of the shortcomings of the existing system in the company.
CODCA – COVID-19 ONTOLOGY FOR DATA COLLECTION AND ANALYSIS IN E-HEALTH

Abstract. Coronavirus (Covid-19) pandemic is one of the most deadly diseases that cause the death of millions around the world. Automatic collection and analysis of Covid-19 patient data will help medical practitioners in containing the virus. For this purpose, Semantic Web technologies can be utilized, which allows machine-processable data and enables data sharing, and reuse across machines. In this paper, we propose a Covid-19 ontology (named CODCA) that helps in collecting, analysing, and sharing medical information about people in the e-health domain. In particular, the proposed ontology uses information about medical history, drug history, vaccination history, and symptoms in order to analyse Covid-19 risk factors of people and their treatment plans. In this way, information about Covid-19 patients can be automatically processed and can be re-usable by other applications. We also demonstrate extensive semantic queries (i.e. SPARQL queries) to search the created metadata. Furthermore, we illustrate the usage of semantic rules (i.e. SWRL) so that treatment plans for individual patients can be inferred from the available knowledge.
How COVID Affected our Python Class at the Worcester Public Library

Teaching a technical class online due to COVID required some adjustments by both the instructor and the students.
Career Maturity for Deaf Children: Obstacles And Solutions

This research was conducted at SMK Garut Regency on Deaf children who have difficulties in making decisions about careers at school and post-school careers. The decision to choose student majors is currently based on the strong will of parents, besides that teacher are less able to provide alternatives to the choice of majors they are interested in and are not based on the results of the assessment of talents and interests. Therefore, the purpose of this study is to see the obstacles of students in achieving career maturity based on the results of the needs analysis. This study uses a qualitative approach with descriptive methods. The participants of this study were Deaf children that had an impact on language skills and cognitive abilities in interpreting information, other subjects were classroom teachers, subject teachers, and special education teachers closest to the student's environment. Data collection techniques used observation, interviews, and documentation studies, and data analysis techniques used data triangulation. The results of this study indicate that the obstacles for students in making career decisions are caused by the impact of their deafness so that they are hampered by expressive and receptive communication skills that do not support them to ask questions so that they only get information from outside and find it difficult to interpret the information they get. The encouragement and prestige of parents and friends are other obstacles in determining student decisions that are not following their interests and talents. Another obstacle is that teachers have not specifically assessed the interest in talent for student careers before entering school to date. Based on these findings, a solution to determine the level of career maturity of students at this time requires an assessment of interests and talents which can then be used by teachers or parents in making transition programs in which focus is on developing soft skills for children in terms of making appropriate career decisions.
Tolerance and the Bounds

The present note investigates the connection between nonreflexive and nontransitive logics from a bounds-theoretic perspective. What will emerge is one way in which, if we focus on the ways in which strict and tolerant acts constrain one another, nonreflexive and nontransitive notions of consequence can be seen as simply reflecting different aspects of the same underlying reality.
A Teaching Tool for Understanding Different Audio Filters

A teaching tool for understanding different audio filters is developed.Texas Instrument Digital Signal Processing (DSP) board, 16-bit Motorola micro-controller (MC68HC12), and C++ programming are used to develop a teaching tool for explaining different types of audio filters.One application of this tool is for eliminating audio feedback in a Public Audio (PA), or sound reinforcement system.An audio noise occurs when an input device (microphone) picks up its own signal from the output device (speaker) thus creating a loop.The result is a loud noise coming from the speakers.With the use of this system this type of problem will be eliminated.In this new tool, user through keypad can select a specific filter.The system then takes an incoming analog signal and converts it to digital form.The digital signal is then "scanned" using a Fast Fourier Transform Algorithm (FFT) to find the unwanted frequencies.These offending frequencies are then filtered out.Next the processed digital signal is converted back to analog and sent to the speaker.The system has the capability to display data in a graphic form.A simple procedure could be carried out to update the software and add more features like digital effects (delay, and pitch shifting).The ability to make these changes by this software package also makes expansion very inexpensive and affordable.Most importantly this system can be widely used for educational purposes.
THE ROLE OF ETHICAL PRINCIPLES AND NORMS IN THE PROCESS OF PROFESSIONAL SELF-DETERMINATION OF STUDENT YOUTH IN TECHNOLOGY LESSONS

The article reveals the essence of ethical norms and principles, their importance for the objective and impartial process of professional self-determination of students in the process of technological training in general secondary education. The ethical principles of the career guidance process are identified and characterized. They are as follows voluntary actions of the optant; lack of evaluation labels on professional activities; the desire for a friendly understanding of personal needs; the confidentiality of the process and results of career guidance work; a combination of voluntariness and obligation while using methods of diagnosing professional intentions; in the interaction of teacher and student; observance of professional culture and dignity of the teacher. The main functions and tasks of ethical behaviour of the teacher in this process are the moral regulation of professional and personal relations, improving the professional skills of the teacher, developing his professionalism. We also identified and analysed the principles of designing methods of influencing (correction, development, improvement) on the personality of a teenager related to and integrated with moral and ethical principles and norms. In addition, the author describes the indicators of professional readiness of teachers to promote professional self-determination of adolescents, which are focused on solving problems of the student, polyreactivity of the teacher to personally significant problems of the student, realistic assessment of their capabilities by adolescents, constant awareness and consideration of the mutual influence of individuals in the process of professional self-determination, awareness of self-worth and human dignity, environmental friendliness of psychodiagnostic and developmental activities.&#x0D; Key words: professional self-determination of students; career guidance; ethics; ethical behaviour; ethical principles; teacher professionalism; technology teacher; personality.
Restoration of Hardware Function of Spectral Colorimeters Using Regularization Methods

The problem of determining the spectral characteristic of a controlled sample under conditions of limited a priori information using regularization methods is considered in the paper. A change in the state of the surface of optical elements significantly increases the light scattering, so it is necessary regularly to take into account the amount of scattered light in the light flux reflected from the surface and the measured and comparative samples. The conversion of the light flux into the electrical signal of the photodetector can also occur non-linearly. This requires the development of such measurement method that considers both the scattered light and various non-linearities of the measuring circuit. It is known that the mathematical model of measurement is described by the Fredholm integral equation of the first kind, its solution under the accepted assumptions is recommended to be sought in the form of a matrix equation using a recurring procedure. With regard to the fact that the estimation of the initial data errors in the equation is associated with certain difficulties, in the case under consideration, it is advisable to determine the regularization parameter based on the method of quasi-optimality. A characteristic disadvantage of the known analytical and experimental methods for determining the hardware function of a spectral device is that they do not take into account its change during operation. Since the actual hardware function of the device usually differs from the Gaussian curve, the use of hardware functions in the form of analytical dependencies does not always give the desired result, and for experimental methods, special equipment with a quasi-monochromatic radiation source is required. An algorithm for restoring the hardware function of a spectral device based on regular methods for solving ill-posed problems is proposed. The estimation of the matrix operator of the hardware function is proposed to be obtained on the basis of explicit least squares estimation algorithms. The expediency of choosing a value of the regularization parameter that minimizes the accepted characteristic of the accuracy of the solution is indicated.
Performance analysis of machine learning algorithms trained on biased data

The use of Artificial Intelligence and Machine Learning algorithms in everyday life is common nowadays in several areas, bringing many possibilities and benefits to society. However, since there is room for learning algorithms to make decisions, the range of related ethical issues was also expanded. There are many complaints about Machine Learning applications that identify some kind of bias, disadvantaging or favoring some group, with the possibility of causing harm to a real person. The present work aims to shed light on the existence of biases, analyzing and comparing the behavior of different learning algorithms – namely Decision Tree, MLP, Naive Bayes, Random Forest, Logistic Regression and SVM – when being trained using biased data. We employed pre-processing algorithms for mitigating bias provided by IBM's framework AI Fairness 360.
A Survey on Different Recommendation Techniques

Recommender systems are used to provide recommendation or suggestions on services and items to the users. It provides suggestions which based on prediction. Prediction plays an important role in recommender systems while making the recommendation for users, prediction ensures the quality of suggestions for their users. Recommendation system used in various applications such as e-commerce websites, social Applications, search engines, or for daily decisions that we need to make. To generate prediction for recommender systems many techniques have been proposed. The goal of the paper is to provide a general overview on various recommendation techniques. It covers the working of different recommendation techniques along with its classification and also their advantages and disadvantages.
Karen Ever After: The Career &amp; Legal Consequences of being the Racist White Lady in an Internet Meme

With the coupled crises of the COVID-19 pandemic and racial protest movements in 2020, the “Karen” meme gained national attention as more incidents were posted online. These incidents have shown to be destructive to all parties involved as victims often experience negative health effects while “Karens” experience doxing. This study investigated the defaming career and legal consequences following the release of video content on social media in which a white woman dubbed as a “Karen” displays racist behaviors. Utilizing a directed qualitative content analysis, the sourcing of incident content came from a study by Been Verified that evaluated 150 incidents. A 2-part data-collection was implemented utilizing Advanced Google Search Engine and Chan McNamarah’s research on racialized police communication. Incidents were subsequently processing using a selection criterion to be considered for consequence assessment. Out of 56 qualified incidents, 27% had discovered career consequences and 27% had discovered legal consequences. This research contributes to a largely undiscussed field in academia by providing an in-depth assessment on defaming Internet trends. It has implications for HR specialists and policymakers in making appropriate decisions to ensure accountability is taken in online matters. It also holds significance for Internet-users in understanding how one’s digital footprint can be perceived online.
Application of Signal Processing Tools in the Interpretation of

Expensive to acquire and almost impossible to re-acquire, seismic reflection and refraction data sets are no doubt the most important assets of any hydrocarbon exploration and prospecting program.During exploration, seismic images of the earth's shallow subsurface are scrutinized by interpreters, whose prerogative is to search for patterns indicating possible hyrdrocarbon reservoirs.One of the most striking features of these seismic signals is their highly non-stationary character, making such interpretations time-sensitive.Raw data sets need to be processed for time and depth corrections, posing some of the most challenging aspects of signal processing techniques, making use of relevant algorithms to eventually help extract the maximum possible information of the subsurface earth from each such data set.However, the tools for information extraction used until recently did not take into account the fundamental non-stationary character of seismic data, and the quality of information extraction suffered as a result.However, at present, high-resolution time-frequency representation technique provides a natural domain for analyzing and processing such non-stationary data.This technique can measure the local changes in frequency and scale content of a signal in the data set.In this paper we present the applications of this advanced signal processing and analysis technique to solve problems related to geophysical seismic data especially applicable to hydrocarbon exploration and prospecting.One of the latest digital signal processing tools is MATLAB (Matrix Laboratory), from MathCAD, which can be used to analyze, interpret, and process seismic data to specialized graphics features required in engineering and scientific practices.With the latest trends in research turning interdisciplinary, MATLAB acts as a perfect example to bridge between the domains of electrical engineering and geosciences.
Lyudmila Ivanovna Shestakova, née Glinka

This paper describes the life and work of Lyudmila Ivanovna Shestakova (1816–1906), the younger sister and faithful companion of the Russian composer Mikhail Ivanovich Glinka. The focus is especially on her activities after her brother’s death, which were motivated by the wish to honour his memory and to spread his music and fame.
An Empirical Study of Information Retrieval and Machine Reading Comprehension Algorithms for an Online Education Platform

This paper provides an empirical study of various techniques for information retrieval and machine reading comprehension in the context of an online education platform. More specifically, our application deals with answering conceptual students questions on technology courses. To that end we explore a pipeline consisting of a document retriever and a document reader. We find that using TF-IDF document representations for retrieving documents and RoBERTa deep learning model for reading documents and answering questions yields the best performance with respect to F-Score. In overall, without a fine-tuning step, deep learning models have a significant performance gap with comparison to previously reported F-scores on other datasets.