Reviewerly/exHarmony huggingface dataset:
A Functional Analysis of Inversion in English Sentences

Inversion is defined as the appearance of the main verb before the subject of an utterance. Using descriptive qualitative approach, this research analyzed phenomenon of language which happens at present. The object of this research is the inversion systems in English. The sources of the data are taken from English books, papers and other resources such as TOEFL test preparation books that related to the topic. In gathering data, the researcher used two techniques namely teknik catat (noting technique) and teknik pisah (separating technique). The result of analyses showed that there are six types of inversion system in terms of forms namely; inverting the main verb to subject, inverting auxiliary verb to subject, adding the auxiliary verb preceding the subject, Inverting the adverb and the subject, Inverting the preposition and the subject, Sentence beginning with there. Meanwhile types of inverted sentence are classified into six. They are interrogative sentence, conditional sentence, statement, comparative sentence, exclamation, reporting sentence. In term of function, there are three functions of inversion namely, emphasizing the negative expression, emphasizing the time expression, and as a variation.
THE EFFECTIVENESS OF USING PICTURE – GUESSING GAME IN WRITING SKILLS

Most of students feel bored in learning to write, one of the reasons is because the teaching and learning process still uses the teacher centered method. Thus, with the decline in learning achievement in writing, it seems that writing is difficult and boring. Therefore, the researcher used the picture guessing game media as a solution to the problem. The puposes in this study are to know the students’ before and after being taught using picture guessing game and to know the significant effect of using picture guessing games on students' writing skills at class 7D MTs Salafiyah Syafiiyah. The findings in this study are The student's score before being taught picture guessing game is still low and is included in the Enough score qualification. Then, the posttest scores of students after being taught the picture guessing game got an increase and were included in the qualification of good scores. The data shows that sig. (2-tailed) was 0.000. It was lower than 0.05. The results of these calculations mean that there is a significant effective of students' writing skills using the picture- guessing game. Thus, it can be concluded that the picture-guessing game is effective in teaching students' writing skills. So, it is strongly recommended for the teacher to use this media in writing class.
The Impacts of Ethical Hacking and its Security Mechanisms

Hacking is a typical method for breaching personal and confidential information. As a result, hacking is also known as infiltration. Intrusions, on the other hand, were not always recognized as theft and were employed for productive purposes. A person or corporation that does ethical hacking and receives incentives from a network or system owner for testing can enter an apparatus (system or network) to locate, repair, and expose network flaws. Most ethical hackers, also known as black hat hackers, test systems using different approaches, methodologies, and tools. Because today's life is lived in a digital world, we need to protect our privacy from cyber-attacks. The proposed paper discussed ethical hacking and its ramifications, in which black hackers "hack" networks. The proposed research emphasizes ethical hacking tactics. This research also examines the impact of ethical hacking on business, education, health, society, the workplace, technology, sensitive information, and human life. Finally, a brief survey based on certain questions is better to grasp the public's understanding of ethical hacking. In summary, this research offers the user fascinating and helpful information when working on ethical hacking.
Smart Surveillance and Detection Framework Using YOLOv3 Algorithm

In this paper, we proposed a method for locating, identifying, and admitting the activities of intrigued, in nearly actual time, from outlines gotten by a ceaseless tide of video information from an observation camera. This article endorses the way to follow, distinguish, and take note of the exercises of captivated in about real-time from follows gotten by a nonstop stream of video information from a reconnaissance camera. The appearance takes input, follows an appeared time space and can provide an activity title based on a single format. We illustrate that YOLO is a viable strategy and comparatively quick for localization within the custom dataset. The findings and analysis of the model will be presented in the following sections. The demonstration collects input outlines after a foreordained interim and can dole out an activity name based on a single outline. We anticipated the activity name for the video stream by combining the discoveries over a period. Because of its benefits, this YOLO strategy is utilized to distinguish action. This method may be used in various settings to tackle real-world problems, such as shopping malls, ATMs, banks, offices, homes, and societies. We have developed a model that detects some ideal human actions.
Analysis of Factors Affecting University Students' Health Behavior: Applying the Anderson's Behavior Model

The purpose of this study is to analyze the factors affecting the health behavior of college students, focusing on the Anderson behavior model, and to identify the differences according to gender.To this end, an online survey was conducted from November 2020 to April 2021 targeting university students from regions C and B in Korea, and the data of 261 respondents who responded were used for analysis.As a result of the analysis, First, it was confirmed that economic level and family function had a positive (+) effect on health behavior, and depression had a negative (-) effect on health behavior in the entire group of subjects.Second, as a result of confirming the gender difference, it was analyzed that economic level and family function positively (+) affect health behavior in the male college student group.Third, in the female college student group, family function and disease severity cognition level had a positive (+) significant effect on health behavior, confirming the difference in results according to gender.Through the results of this study, we intend to suggest practical and policy measures for improving the health behavior level of college students.
Speech Accent Recognition

The speech accent demonstrates that accents are systematic instead of merely mistaken speech. This project allows detecting the demographic and linguistic backgrounds of the speakers by comparing different speech outputs with the speech accent archive dataset to work out which variables are key predictors of every accent. Given a recording of a speaker speaking a known script of English words, this project predicts the speaker’s language. This project aims to classify various sorts of accents, specifically foreign accents, by the language of the speaker. This project revolves round the detection of backgrounds of each individual using their speeches
DIGITAL TRANSFORMATION OF THE MEDICAL EDUCATION

Introduction: Digital transformation has drastically changed nearly every field of human life in the last couple of years. Education is not an exception. For many years changes in education have been happening at a very slow pace, but in the 21stcentury, this has changed. Some of the most important shifts in the field of medical education are related to the inclusion of AI and VR in the training of students. Aim: The article aims to analyze some of the most important effects that digital transformation has on medical education. Material and methods: The author used theoretical and practical scientific methods. Important and impactful articles related to the topic are analyzed. Results: The results of the research undoubtedly show the great importance that innovative techniques, methods, and tools, created thanks to the digital transformation, have on medical education. Conclusion: Medical students could benefit vastly from the inclusion of AI and VR in their curriculum. Thus, they will not only be eased in their daily work when they become doctors but they will be ready for the upcoming changes in the medical field as well.
Digital Identity

Abstract: Our digital and physical lives are increasingly linked to the apps, services, and devices we use to access a rich set of experiences. This digital transformation allows us to interact with hundreds of companies and thousands of other users in ways that were previously unimaginable. The whole concept here is to make a decentralized network of blockchain to provide each person in the world a unique identity based on their biometrics with great privacy and no intervention of a single authority. We have used a distributed blockchain system for this purpose, SHA-256 for hashing, digital certificated for identity verification. This project will give a unique identity and can be trusted by every organisation. It can be integrated with storing digital documents and verification of the credential for any organisational use, of course only with the permission of a individual.
Mobile Automation of Key Collection System Using Device Biometric

It is impossible to overstate how much the advancement of technology has impacted our culture and day-to-day activities.Technology is essential for completing tasks quickly, effectively, and efficiently.Its expansion has resulted in widespread dissemination across several disciplines.The development of biometric technology has improved record authenticity, hence enhancing the integrity and uniqueness of individual records.Every organization places a high value on key management.An efficient key management system offers key records on demand, making it simple to maintain track of the organization keys and the people who signed them.The Dalhatu Araf Specialist Hospital in Lafia uses a manual approach for key collection with staff members signing up on handwritten forms.The goal of this project is to automate the manual process and include biometric thumb printing as a means to accurately monitor the whereabouts of signed keys.The study uses the structured system analysis and design methodology as a tool to structurally guide the goal of this study in order to construct the targeted system efficiently.The system being targeted is a mobile application that utilized Java with SQLite database technology.
Solar Power Generation Forecasting Using Adaptive Boost and Random Forest

In the recent few years, the conscious approach towards green energy has gained significant momentum.These green sources, a noteworthy amount of power is generated through them and integrated into the grid.Hence, the need of forecasting these energy sources; especially solar energy, for the most efficient utilization is very crucial.Hence, measuring the accurate solar radiance, precise load management and efficient solar energy usage can be ensured.This research utilizes the use of ML algorithms; through which hourly, daily and monthly prediction of solar generation is possible.Concurrently, shift towards smart grid concept and solar energy by Indian power system will be benefited by use ML algorithms, that will fulfill an important aspect; load forecasting.This in turn will assure an economic operation as well as planning of the power system.In addition, sort term planning along with future expansion of generation can be pre-determined with high accuracy.
STUDENT’S PERCEPTION IN ONLINE LEARNING (A CASE STUDY ON SALUT KOTA KEDIRI)

The aim of this study is to describe the students’ perception of SALUT Kota Kediri in online learning and to find out the obstacles faced by the students while doing online learning. This research used qualitative approach. The subject of this research was the 24 students of SALUT Kota Kediri who has taken the Strategi Pembelajaran Subject. The results showed that the students’ of SALUT Kota Kediri has the negative perception. And the obstacles faced by the students while doing online learning were no direct explanation from tutor, difficult to understand the material easily, technical issue and internet quota or signal sometimes trouble.
Demonstrating the Potential of eXtended Reality Offloading over Emulated 5G Networks

We present a gamified demonstration to showcase how can FikoRE, our own open-source 5G Radio Access Networks (RAN) emulator, become a reference test bed for application layer researchers, specially within the eXtended Reality (XR) technologies field. To prove the extensive and scalable capabilities of FikoRE, we designed an immersive gamified experience which, using our offloading architecture, streams the XR device’s stereo camera feed to a nearby server in real-time. This server runs our novel deep learning egocentric body segmentation algorithm to allow the users see their own body in real-time. The traffic exchanged between the immersive client and the server is continuously filtered and handled by FikoRE which emulates, in real-time, a realistic behavior of different arbitrary 5G RAN configurations. By changing these configurations along different demonstration runs, we can showcase how they affect, both positively and negatively, the overall quality of experience. The rapid changes between configurations is achieved due to FikoRE’s flexibility and simple usage.
Structuring search interface in electronic catalogs

The authors analyze the structure of search interfaces in e-catalogs of Russian largest libraries with the collections of over 4 mln entries. Several types of search methods applied in search web-interfaces of library e-catalogs are revealed and characterized, i.e. single-line (simple), standard (basic), advanced and professional. The single-line and advanced searches are the most popular and used in all the mentioned libraries. The authors examine the complementary search functionality: refining, ranking, sorting systems, among them at least one applied in each of the e-catalogs under study; the systems of search dictionaries and additional guidelines, and specifications of use are also discussed. Common features of e-catalog search interfaces of the Russian largest libraries in the aspect of search types and advanced search functionality are identified. The recommendations of developing and efficient application of the search interfaces are offered. The article is prepared within the framework of the Government Order to RNPLS&amp;T for the Project № 720000F.99.1.BZ85AA03000, theme No. 1021062311369-1-1.2.1;5.8.2 (FNEG-2022-0003) for 2022.
The All-Russian Contest «Libraries and Sustainable Development: Steps forward» is completed

The results of 2022 All-Russian Contest «Libraries and Sustainable Development: Steps forward» contest are finalized. The submitted projects are analyzed. The SDGs, most important for the libraries and librarians, are identified. The examples of activities and events to promote sustainable development and their features, are specified. Libraries’ original approaches to designing e-resources for sustainable development are discussed.
The Factors of Predicting the Adoption of Preventive Nutritional Behaviors from Osteoporosis: Applying the Integrated Health Belief Model with Health Literacy

The Factors of Predicting the Adoption of Preventive Nutritional Behaviors from Osteoporosis: Applying the Integrated Health Belief Model with Health Literacy
Information models of research development in higher educational institutions

International scientific conference «Information technologies and management in higher education and sciences» : conference proceedings (November 28, 2022. Fergana, the Republic of Uzbekistan). Riga, Latvia : “Baltija Publishing”, 2022. Part 2. 388 pages.
Penggunaan Media Powtoon untuk Meningkatkan Hasil Belajar Matematika dengan Teknik Mengajar

This study aims to determine the increase in student learning outcomes in mathematics with the application of powtoon media using teaching techniques. This research approach is a qualitative approach to the type of research is classroom action research. The focus of this research is the focus of mathematics learning outcomes. This research was conducted at MI Al Huda Yogyakarta. which totaled 24 students. This research was conducted in three cycles. Each cycle includes the stages of planning, implementing, observing and reflecting. From the implementation obtained data collected by observation techniques, learning achievement tests and documentation. The results of the study concluded that the use of powtoon media can improve the mathematics learning outcomes of class III MI Al Huda students, especially in terms of multiplication with the memory cycle technique. This increase occurs in each cycle. For example in cycle 1 as many as 12 students are said to have completed. Whereas in cycle II there were 19 students who were said to be complete and finally in cycle III all students were said to be complete. Of all these cycles experienced an increase in terms of average, such as the first cycle of 65.41, the second cycle of 71.45 and the third cycle of 81.04.
Research on the Practice and Exploration of “Guidance Control-Interaction” University English Teaching Based on Big Data

The iterative progress and maturity of computer technology have enhanced the interactivity and teaching effect of University English. Through technology, personalized analyses of students’ learning characteristics can be effectively carried out, and teaching can be conducted according to students’ personalized learning characteristics. In this paper, the “guidance control-interaction” University English teaching mode is first analyzed, followed by an exploration of the practice of this teaching mode based on big data. Lastly, teaching practice strategies in relation to this teaching mode are proposed.
Categorizing Cyber Activity Through an Information-psychological and Information-technological Perspective, Case Ukraine.

Russian approach to warfighting includes an informational facet. Western hemisphere usually treats cyber activity as a tool similar to traditional warfighting tools such as rifles, artillery and tanks, whereas the Russian approach has an informational and narrative stance to the whole conflict. Placing information in the focus, switches the cyber activity to serve either an informational-psychological or an informational-technical approach. Examining the activity from this non-conventional trait and correlating it to other activities during the execution, the study highlights the coordination of kinetic and non-kinetic actions in an altered manner. In this article I am examining cyber activity through the terms of information-psychological and information-technological approach to form an understanding of Russian or Russian supported activities in cyber space before and during the Ukraine crisis. This will recognize types of cyber activity connected to actions in the physical environment. Actions identified are categorized and placed in a matrix created on psychological and/or technical clout. From this matrix groups of activities are scrutinized in correlation to other activities to expose possible narratives or underlying themes. The study relies on a variant of Grounded theory and is selected to elude from examine technical methods and actions. The observed timeframe is for the first study from 2021, well before the current hot phase, until summer 2022. This article is the first part of a two-stage study, where the first part examines cyber activity through the terms of information-psychological and information-technological approach. The second study places the previous findings in correlation to actions, reactions and mitigation activities to find out how defensive measures were relevant or if the outcome were result of something else than deliberate defensive (cyber-)activities. Throughout the larger study, the underlying hypothesis is that there is a larger coordination of cyber activities than acknowledged related to the ongoing crisis.
UAV Payload Identification with Acoustic Emissions and Cell Phones

The growing presence of Unmanned Aerial Vehicles (UAVs) in all sectors of society poses new security threats to civilian and military sectors. In response, new UAV detection systems have and are being developed. Current systems use techniques such as Radio Detection And Ranging (RADAR), visual recognition, and Radio Frequency (RF). Another promising solution for UAV detection uses acoustic emissions. Past researchers demonstrated the ability to use UAV acoustic signatures to determine whether a UAV carries a payload and the weight of that payload at close range with high-quality microphones. This research expands the field of study by performing acoustic payload detection using cell phones and at farther range by developing the system called HurtzHunter. The system collects audio data and extracts Mel-Frequency Cepstrum Coefficients (MFCCs) to train Support Vector Machines (SVMs). The HurtzHunter system tests acoustic payload detection with one high-quality microphone and six different cell phones at 7 m - 100 m ground distance from the UAV. At each distance, the experiment runs 6 flights each with a unique payload attached to the UAV. The HurtzHunter design achieves an 88.26% - 99.93% payload prediction accuracy depending on the configuration.
PHISHING AND SOCIAL ENGINEERING: CONCEPT, MODALITIES, TECHNIQUES OF DETECTION AND PREVENTION OF FRAUD. A SYSTEMATIC REVIEW OF THE LITERATURE

Nowadays it is very common to hear about some kind of cyber fraud, such criminal conducts that were already continuously practiced years ago, have intensified and gained new modalities. With the advent of social isolation caused by the pandemic, the cybercrime known as phishing was the most executed fraud modality worldwide, which is explained by the increase of internet users that in their great majority are unaware of basic rules to prevent this type of attack. The objective of this paper is to present the concept of phishing and social engineering, to highlight the main and current phishing modalities, to explain how the attacks work and to propose some basic but effective ways to detect and combat this type of crime. Resumo Hoje em dia é muito comum ouvir falar sobre algum tipo de fraude cibernética, tais condutas criminosas que já eram continuamente praticadas há anos, intensificaram-se e ganharam novas modalidades. Com o advento do isolamento social provocado pela pandemia, o crime cibernético conhecido como phishing foi a modalidade de fraude mais executada no mundo inteiro, o que é explicado pelo aumento de usuários de internet que na sua grande maioria desconhecem regras básicas de se prevenir deste tipo de ataque. O objetivo deste trabalho é apresentar o conceito de phishing e engenharia social, destacar as principais e atuais modalidades de phishing, explanar o funcionamento dos ataques e propor algumas formas básicas, mas eficazes de detecção e combate a este tipo de crime. Keywords: phishing, social engineering, phishing techniques, cyber crimes, phisher. Palavras-chave: phishing, engenharia social, técnicas phishing. ciber crimes, phisher.
A SUPERVISED CLASSIFIER FOR POLICE REPORTS AT THE STATE OF PARA, BRAZIL

This paper describes the development of a supervised classifier constructed upon knowledge extracted from police report public databases, in the years between 2019 and 2021 in the state of Pará, Brazil. The classifier achieved an accuracy of approximately 78% for the prediction of 463 unique labels related to public safety. The resulting model can be used to improve the statistical processes of criminal analysts, both in quantitative and qualitative terms.