Reviewerly/exHarmony huggingface dataset:
Development Of Android-Based Electronic Module Using Sigil Application As A Learning Media

Abstract— This study aims to develop digital simulation learning modules and produce valid, practical and effective digital simulation learning modules. This research is a development research. The model chosen in this study is a 4-D model: define, design, develop, and disseminate. The subject was 10th grade students of the Genus Health Vocational School. The type of data used is primary data. The instruments used to collect data in this study were instruments of validity, practicality, and effectiveness. The research data were analyzed by descriptive statistics. Data were obtained through questionnaires from validators and student response questionnaires as well as teacher response questionnaires to the developed e-module. The results of the validity test analysis to media experts obtained a validation value of 0.84, so the android-based learning e-module was categorized as valid. Furthermore, the validation results from material experts obtained a validation value of 0.85, meaning that the material in the Android-based learning e-module is categorized as valid. The results of the practicality of Android-based E-Modules for teachers obtained an average of 82.3 with very practical categories, and students obtained an average of 85 with very practical categories. The results of classical completeness scores obtained that 20 students completed with a percentage of 93.67%, it was concluded that the android-based e-module media was said to be effective from a review of students' classical scores. The effectiveness of the product on learning outcomes based on classical completeness which reached 93.67% and the gain score value of 0.32 in the medium category, it can be concluded that the android-based learning e-module is declared effective.
Uncovering Insights for New Car Recommendations with Sequence Pattern Mining on Mobile Applications

This study employs sequential pattern mining to analyze browsing behaviors and aid mobile app service providers in effectively promoting and recommending new products. We collected browsing history data from 66,004 mobile app users for new car info in Taiwan, totaling 1,263,614 records over two months. By utilizing sequence pattern mining, we identified frequent browsing sequences on the app that can indicate subsequence product interests and suggest new items to potential customers. The proposed method can improve the user experience for mobile app users and facilitate the development of the potential market for advertising. The study highlights the effectiveness of sequence pattern mining in recommending new products to car app users, benefiting small app vendors, improving user experience, and informing product development decisions in the automobile industry. Furthermore, the findings emphasize the importance of considering the sequential relationships between events or items in pattern mining, particularly in mobile app development. In conclusion, the proposed approach offers a cost-effective solution for small app vendors to recommend new products and improve the overall user experience, providing valuable insights for the automobile industry.
Bibliometric analysis of virtual reality in tourism and hospitality

It is experienced that the tourism and hospitality industry has been changing dramatically year by year, not only the crisis of the pandemic outbreak related to the restriction of travelling but also due to novel of technology evolution, including applications of virtual reality. In fact, applying virtual world into business operation to increase customer intention have been paid more attention from practitioners, scholars, and stakeholders. Yet, it is necessary to comprehend this field's trend and its impact on business strategies and the future perspective of applying virtual reality experiences in tourism and the hospitality industry. This study mainly aims to examine the current state of research and trends of virtual reality related-tourism and hospitality studies from the beginning to the outbreak of the pandemic and post-pandemic and discuss them over the period time towards the future perspective of this research. By proposing a bibliometric approach to analyse 1441 studies from Scopus data published over three last decades related to virtual reality experience in tourism and hospitality sector to generalize information associated with research opportunity for future in this area. This study uses a combination of RStudio 2022 and VOSViewer 1.6.18 software to analyse databases that were retrieved from reliable resources and the most signification impact so as to provide a whole picture of virtual reality connecting with the relevant context. With regard to offering information in terms of the volume document of studies, citations, authors, countries, authorship networks, keyword networks and keyword co-occurrences, the relevant research direction in this field as well as the top journals and conferences that have most published in this field by over years. By using bibliometric analysis, this study's result gives an understanding of value information and suggestions by visual overview for future virtual reality studies on the tourism and hospitality context.&#x0D;
Wind Aware Planning Using the Introduced RRT*-line Algorithm

This paper introduces a new approach: the rapidly exploring random tree star-line (RRT*-line) algorithm for sub-optimal path planning based on distance, time, or energy with knowledge of the wind field. The proposed strategy is predicated on the concept that humans approach a target by aiming directly at it when it is visible. The RRT*-line is an extension of RRT*, which is an asymptotically optimal path planner. The proposed algorithm is tested in cluttered environments with obstacles, considering the optimal distance path, and optimal energy or time under wind load. The new algorithm is explicated in this paper, and a comparison between RRT, RRT*, Dijkstra, and RRT*-line shows that the proposed approach provides bett er results in various complex environments for wind-aware path planning based on distance, time, or energy.
Home health care system for the Elderly based on IMU wearable device

This paper proposes a human behavior recognition system based on a chest wearable device, which is used for the medical care of the elderly. In today’s aging society, it is very important for the quality of life and care of the elderly. Many nursing institutions seek technical support and respond to nurses. Due to insufficient manpower to control the behavior and health status of the elderly, the demand for an indoor positioning system (IPS) cannot be ignored. Using low-power Bluetooth to construct a location-based service (LBS) on a wearable device equipped with a nine-axis inertial sensor IMU and barometer can judge the posture of the wearer, including standing, walking, sitting, lying, and falling. The resultant force value is calculated by the three-axis acceleration, and the three-axis acceleration and the three-axis gyroscope are obtained through the gradient descent algorithm. The Euler angle and the altitude converted by the barometer can judge the behavior of sitting and standing up and the event of a fall. There is also an emergency button on the device, which allows the wearer to send a distress message, and monitor the wearer’s current behavior in real-time through the mobile APP and cloud, recording the wearer’s behavior and the physiological data of the bracelet and providing it for medical analysis.
Advanced Hill Cipher Hybrid Cryptography Model

Information, which includes transactions, knowledge, communications, databases, and infrastructure, is an organization's asset and should be protected. Information and communications are protected using cryptographic algorithms, which make sure that only the intended recipients of the information may read and process it. The category of algorithms that use both symmetric and asymmetric algorithms is known as hybrid cryptography. In this study, a hybrid RSA and hill cipher is created, that operates with an appropriate invertible matrix to create a safeguarded data transfer technique. Combining the benefits of symmetric and asymmetric cryptography would produce a quick and secure cryptographic algorithm. The approach is tested using a genetics-based application where a file of the genome sequence is considered as input to encrypt.
Preserving and Sharing Of Medical Data Using Blockchain Technology

Healthcare systems store huge amounts of data of the patients. Usually, these data are stored in a normal server and are monitored. Here, the data refers to the personal information of the patients. Information such as blood group, disease infected, diagnosis provided, treatment or cure given to the patients. This information is very sensitive and needs to be protected to maintain the privacy of the patients. Besides protection, this data should also be stored for a long period of time so that it will be very helpful for future treatments. The use of servers did not guarantee the security of data. It is easily prone to identity thefts, spamming and financial data crimes. There are many cases where the data was exposed and most of the important information was stolen. Securing the medical data is quite challenging in healthcare systems and this can be overcome using permissioned blockchain. The main aim is tonot only secure the data but also to provide timely access to data when it is urgently required. A permissioned blockchain uses a cipher text that is based on Attribute Based Encryption (ABE). It is a public-key cryptographic encryption technique that provides secure data sharing among multiple users and achieves privacy and access control. For storing the data, DriveHQ is used. It is a cloud IT service provider and is one of the largest FTP server hosting service providers.
Issues of integrated teaching of Georgian language in connection with art subjects

The integrated lesson is the most common form of interdisciplinary teaching. Interdisciplinary teaching itself is a method or a set of methods, which is used for interdisciplinary teaching of the subjects provided by the curriculum (study plan). It sort of brings together separate disciplines in terms of studying/solving a common topic, issue or problem. For this purpose, we focused on the teaching of Georgian language and literature by integrating it with art subjects (film art, folk and classical music, fine arts). We focused on individual disciplines around a common theme and taught the students the issue in a multifaceted, integrated way. We became convinced of the power of song, namely, the lullaby; using integrated teaching, the phenomenon and power of the lullaby; In the power that returned the girl who turned into a woman from Leki to her Georgian roots.
Taxation and Accounting of Cryptocurrencies from The Point of View of the Czech And Slovak Republic

The submitted article deals with currently a very topical issue, which is cryptocurrencies.The goal of the article is to analyse cryptocurrencies from an accounting and tax point of view in the Czech and the Slovak Republic.Due to the complexity of all aspects, the paper is focused exclusively on personal income tax.The content of the article is also the characteristic of cryptocurrencies, comparison of differences between selected countries.Practical application of cryptocurrency taxation based on two model situations makes also a part of the article.The biggest difference between these two countries is that Slovakia has this issue processed legislatively.On the other hand, the Czech Republic does not.Another difference is the accounting capture of cryptocurrencies.In the Czech Republic, cryptocurrencies are accounted for inventories, while in Slovakia they are accounted for short-term financial assets.The last major difference is the point of view of transaction fees.In the Czech Republic, these are considered as tax-deductible costs compared to Slovakia.In both countries, operations with cryptocurrencies are taxed similarly according to the personal income tax, and at the same time the method of taxation depends on whether the income from this activity is received as part of a business or not.
MICROPROCESSOR DEVICE FOR OBTAINING BIOELECTRIC INFORMATION

The purpose of the study is to develop a microprocessor device for receiving, displaying, recording the electrocardiogram and its further processing. Physical methods of biopotentials studying generated by human tissues and organs make it possible to obtain information about the state of physiological processes and reflect the functional state of the human body. Scientific studies of the cardiovascular system, which directly affects the average life expectancy are of particular importance today. There is still great interest in the methods of analysis of electrocardiograms in modern medical research aimed at solving diagnostic problems. The solution of this problem is implemented on the concept of a virtual device, which is possible due to the use of software environment LabVIEW which is widely used in industry and research laboratories as a standard tool for data collection and device management.&#x0D; The main aspects of development are considered, key nodes of the device are described and the radio element base is offered, the algorithm of operation of the device software is described. The module for recording bioelectric potentials (ECG) uses a specialized chip from Analog Devices AD8232. The chip is an interface module for monitoring heart rate with one leading and is designed to receive, amplify and filter weak biosignals in conditions of strong interference.&#x0D; The hardware basis of the device in this work is the hardware and software complex Arduino Nano based on the microcontroller ATmega168, which is used only for collecting input data, their conversion and transmission to a PC. The control of the device and the logic of its operation of the device is determined by VP LabVIEW. The hardware and software features of the device allow the processing of diagnostic information by the method of phasography, in which the standard cardiogram is replaced by a phase portrait of the cardio signal. This significantly expands the diagnostic capabilities, increases the sensitivity and specificity of ECG diagnostics. The developed experimental sample of the virtual single-channel cardiograph combines modern technologies of instrument making industry and software processing of the received diagnostic information and can be applied as a laboratory board in educational process of special disciplines mastering on the educational and professional program "Micro- and nanosystem engineering".
Security In Wireless Sensor Networks Based On Lightweight Algorithms : An Effective Survey

At the level of both individuals and companies, Wireless Sensor Networks (WSNs) get a wide range of applications and uses. Sensors are used in a wide range of industries, including agriculture, transportation, health, and many more. Many technologies, such as wireless communication protocols, the Internet of Things, cloud computing, mobile computing, and other emerging technologies, are connected to the usage of sensors. In many circumstances, this contact necessitates the transmission of crucial data, necessitating the need to protect that data from potential threats. However, as the WSN components often have constrained computation and power capabilities, protecting the communication in WSNs comes at a significant performance penalty. Due to the massive calculations required by conventional public-key and secret encryption methods, information security in this limited context calls for light encryption techniques. In many applications involving sensor networks, security is a crucial concern. On the basis of traditional cryptography, a number of security procedures are created for wireless sensor networks. Some symmetric-key encryption techniques used in sensor network setups include AES, RC5, SkipJack, and XXTEA. These algorithms do, however, have several flaws of their own, including being susceptible to chosen-plaintext assault, brute force attack, and computational complexity.
THE ROLE OF TEACHING ASSIGNMENTS IN CHEMISTRY IN THE CONTEXT OF PERSONALLY ORIENTED EDUCATIONAL ACTIVITY

Today requires modernization of the education system. The main attention in the state doctrine of education development is focused on the personality, and this requires the implementation of certain changes and even a complete restructuring of classical methodological approaches to raising. In the today's realities conditions, it is necessary to take into account the decreasing of the skills and knowledge level of students on all school subjects, including chemistry. Educational tasks play an important role in the education system. However, in distant learning, the role of each type of educational tasks increases significantly. The method of using educational tasks during the study of chemistry in a secondary school was analyzed, and the disadvantages of traditional methods were revealed. Ways to solve this problem are proposed.&#x0D; The main criteria and indicators were determined, according to which the pedagogical effectiveness of the designed methodology was checked, including the self-reflection of personal educational achievements. Better academic performance and motivation of the experimental class was established, as the vast majority of students have achieved a high and sufficient level of knowledge quality. The growth of the comfort index and the level of self-assessment of personal educational achievements in the experimental class compared to the control class was shown. It has been demonstrated that such indicators as the ability to self-reflect personal educational achievements, the ability to solve chemistry assignments for students of the experimental class are also higher than in the control class.&#x0D; Keywords: educational assignments; questions; exercises; problems; chemistry; educational activity.
Bulletin WKU

This article describes the advantages of using "cloud technologies" in the education system, which are widely used in the world practice. The article can be considered as a work that opens the way to a new direction in education. We have every reason to note the use of cloud technologies in the education system as the beginning of major changes. The article describes the latest achievements of cloud technologies and the benefits for the education system through research and analysis, identifying the benefits thanks to concepts, analytical research.
PERSONALITY TYPE IN TERE LIYE’S NOVEL NEGERI PARA BEDEBAH

This study is based on Tere Liye's novel Negeri Para Bedebah, which deals with personality types. Thomas or Tommi is a professional financial consultant and the founder of Thomas Co., a major financial consulting firm. Thomas is a one-of-a-kind individual since his co-workers regard him as adaptable. Thomas has a labile personality in the sense that his behavior is unpredictable and also changeable, adjusting to a certain situation. The grand theory used to support the whole research is the one proposed by Gerard Heymen, in which it is stated that every individual’s personality is unique and could be adjusted to a certain condition. Literary psychology is applied as an approach in the study, as literary psychology conducts literary studies by looking at literary works as psychological activities for both the author and the readers. The study is conducted by the descriptive qualitative method, showing the personality of the main character; this is a type of individual phenomenon that can also be found in society. The results show that the protagonist has three significant types of personality: smartness, self-support, and responsibility.
BEHAVIORISM IN AYU UTAMI’S NOVEL SAMAN

Behavior is a series of causes and effects of the stimulus and response. The response occurs as a result of the given stimulus. In this regard, this study aims to dissect changes in the behavior of the major characters through stimulus and responses that occur in Ayu Utami's novel Saman. This research is a qualitative descriptive study with a literary psychology approach supported by Skinner's theory of behaviorism. According to Skinner, the relationship between stimulus and response occurs through interaction with the environment, which then causes changes in behavior. The data collection technique used in this research is library study. The data analysis technique in this research is descriptive qualitative which begins with data analysis, description of the classification results, and conclusions. The results show that the major characters in this novel experience behavioral changes through the perspective of stimulus and response related to two points of discussion: parental advice and love. In one case heeding parental advice brings good to others and in another disaster; so is love, one runs with risk and the other goes smoothly.
Implementasi Algoritma C4.5 Untuk Tes Kepribadian Penerimaan Karyawan Di Dinas Perhubungan Provinsi Sulawesi Tengah

The employee who has bad performance in working can influence the other employee to disturb many jobs. The purpose of this research is creating prediction system which it makes easier for HRD to select prospective employees who have appropriate personality based on the position, by utilizing the C4.5 algorithm known to be the personality of employees of the Central Sulawesi Provincial Transportation Office with a level of accuracy in the implementation of the C.45 algorithm. Testing using the confusion matrix, obtained a system accuracy of 79.167%.
The Impact of Performance Appraisal System on Organizational Climate (Case Study - Gaza Electricity Distribution Company – 2022)

This article aimed to explore the impact of performance appraisal system on organizational climate in Gaza Electricity Distribution Company. Focusing on the importance of organizational climate, this study tested the performance appraisal system's influence which consists of several constructs including (appraisal process, appraisal method, and appraisal feedback). The survey design employed a probability-stratified random sampling method, and questionnaires were distributed to collect data. In total, 221 individuals from the Gaza Electricity Distribution Company's six branches took part as participants, with a response rate of 82.16%. For the analysis, a quantitative research methodology was employed. In order to analyze the structural equation model and consider the study hypothesis, AMOS software was employed. The study findings showed that the organizational climate is directly, strongly and significantly influenced by the performance appraisal system (74.8%). The results also showed that the two dimensions, appraisal method and appraisal feedback, had the greatest influence on organizational climate, whereas dimension appraisal process had the least.
RECOGNITION OF SIGN LANGUAGE USING MACHINE LEARNING

Sign language recognition plays a crucial role in enabling effective communication and inclusivity for individuals with hearing impairments.This abstract provides a concise overview of the progress, techniques, and obstacles in sign language recognition.It explores computer vision, machine learning, and deep learning methods utilized for gesture recognition.The challenges of intra-class variation, dynamic gestures, occlusions, and dialect variations are discussed.Applications like real-time translation systems and interactive sign language tutors are highlighted.This abstract serves as a valuable reference for researchers, practitioners, and developers in advancing sign language recognition systems, fostering inclusivity, and facilitating communication for the deaf community.