Reviewerly/exHarmony huggingface dataset:
Advances and Challenges in Semantic Communications: A Systematic Review

Inspired by the recent success of Machine Learning (ML), the concept of semantic communication introduced by Weaver in 1949 has gained significant attention and has become a promising research direction. Unlike conventional communication systems, semantic communication emphasizes the precise retrieval of conveyed meaning from the source to the receiver, rather than focusing on the accurate transmission of symbols. Thus, semantic communication can achieve a significant gain in source data compression, alleviate communication bandwidth pressure, and support new intelligent services, which is envisioned as a crucial enabler of future sixth-generation (6G) networks. In this review, we critically summarize the advances made in semantic information and semantic communications, including theory, architecture, and potential applications. Moreover, we deeply explore the major challenges in developing semantic communications and present the development prospects, aiming to prompt further scientific and industrial advances in semantic communications.
Research on Pile Foundation Testing Technology for Building Construction Engineering

Pile foundation testing&nbsp;technology for construction engineering&nbsp;is an important measure&nbsp;to ensure the quality and safety of pile foundations. In this paper, several common methods for pile foundation testing&nbsp;are introduced, including static load test method, core drilling method, low-strain method and rock foundation plate load test&nbsp;method. This paper also expounds on their respective characteristics and scopes of application.&nbsp;Meanwhile,&nbsp;the practical application of pile foundation testing&nbsp;technology in&nbsp;construction&nbsp;engineering is discussed&nbsp;as well, including determining the bearing capacity of pile foundation, detecting the integrity of pile foundation, and finding yet&nbsp;solving pile foundation quality defects.
Implementasi Model Pembelajaran Bahasa dan Sastra Indonesia Berbasis Proyek Berdiferensiasi di SMA 8 Ternate

The aim of the research is to improve the process and outcomes of students’ Indonesian language learning through differentiated learning. This research uses classroom action research methods. The research subjects were students of class XI IPS I SMA Negeri 8 Ternate City, totaling 34 students. The research was carried out in two cycles consisting of planning, implementation, observation and reflection stages. Data on the process of implementing differentiated learning was obtained through observation sheets of teacher and student activities. Data on student learning outcomes is obtained from learning outcomes tests. The results of the research show that there has been an increase in the process of implementing differentiated learning from cycle 1 to cycle 2. Based on an assessment of the performance indicators for the success of student learning activities, data was obtained that in cycle 1 the good category was 50%, the category was fair, the category was 20%, and the poor category was 30%. In cycle 2, there was an increase in the success of student learning activities as seen from the achievement of the good category to 85%, the fair category 10% and the poor category 5%. From the results of the assessment of teacher performance indicators in cycle 1, it can be seen that a score of 68 was achieved in the poor category. In cycle 2, there was an increase in teacher performance which was seen from achieving a score of 90 in the very good category. From the results of the analysis of the research data, it can be concluded that the implementation of differentiated learning in Indonesian language learning can improve the learning process and outcomes.
Pelatihan Pembuatan Media Pembelajaran Berbasis Canva untuk Menstimulasi Keterampilan Berbahasa pada Guru YPI Bahrul Ulum I Bulu Balen Bojonegoro

Educational institutions need to adapt to the development of the world of technology which is accelerating very quickly, both in the development of learning, learning innovation, and the fulfillment of facilities and infrastructure as well as to improve their quality. One of the uses of technology in education is to support learning. The purpose of this activity is to provide knowledge to teachers by utilizing the Canva application as a creative and innovative learning medium for language learning in children. The training method is by providing material as a basis for initial knowledge, explaining the use of the Canva application in learning and tutorials for making learning videos. The results of the activities of the participants were very active and enthusiastic about participating in the activity. The conclusion of the activity is continued for the development of material and content of learning media to stimulate children's language.
Pengembangan E-Modul Menggunakan Flip PDF Professional Pada Mata Pelajaran IPS Kelas V SD

The aim of this research is to find out how to create an electronic header using Flip PDF Professional software. The limited availability of teaching materials in schools causes this problem. Apart from that, e-modules are not technically used as teaching materials by educators. Apart from that, because teachers have not created their own e-module-based teaching materials, learning only depends on textbooks. Researchers carry out research and development (R&amp;D) or development using a four-stage development version, which consists of defining, designing, development (developing), and dissemination (disseminating). This research uses validity and practicality test sheets. The study shows that the product is an e-module that uses a professional PDF flip. The validation results of the E-module show that it is very feasible in terms of appropriateness of content, media, and language. An average score of 87% is categorized as very appropriate in terms of language eligibility. Apart from that, 96% of students and 95% of teachers stated that the E-module could be used as teaching material for reading the proclamation text for class V UPT SDN 23 Cubadak.
Enhanced Multi-Target Tracking with Combination of Position, Power and Ambiguous Doppler Measurements

Multiple Target Tracking (MTT) is one of the most challenging topics in radar target tracking. In addition to conventional position measurements, the integration of target Doppler and power information can offer valuable insights into a target’s kinematic state, thereby improving tracking performance. This article discusses a tracking approach that incorporates those components into the measurement enhancement process and assesses the advantages of the proposed strategy. Firstly, we investigated an improved data association scheme that exploits statistical features of position, Doppler and power. The estimated Doppler value calculated from the target range and timestamp will be compared with the measured Doppler to deal with the Doppler ambiguity situation. Secondly, we studied an augmented unscented Kalman filter (UKF) algorithm using position, Doppler measures, and the indirect measure of radial velocity in the linear domain. The experimental results show that the proposed solution has good performance in terms of reduced number of false tracks and improving the accuracy of the target state estimation.
ENHANCING URBAN VEHICULAR NAVIGATION: IMPROVING CLASSICAL TOPOLOGICAL MAP MATCHING THROUGH RAY-CASTING

Abstract. Navigation is of paramount importance for land vehicles as it enables efficient and accurate movement from one location to another. Whether it is for personal navigation, commercial transportation, or emergency services, reliable navigation systems play a crucial role in ensuring safety, optimizing routes, and enhancing overall operational efficiency. This paper presents the integration of classical Topological Map Matching (TMM) with the Global Navigation Satellite System (GNSS) and the Inertial Navigation System (INS), addressing the limitations of relying solely on road centerlines. A novel solution is proposed, leveraging the ray-casting algorithm to determine the predicted position’s area and employing a two-stage kinematic update process for enhanced positioning accuracy. The solution’s efficacy is evaluated through tests conducted on simulated GNSS outages within a road experiment conducted in the City of Toronto, demonstrating substantial improvements compared to the classical TMM approach. Notably, the proposed method achieved a considerable 82.33% reduction in RMS positioning error and a 33.71% improvement in maximum positioning error during the longest GNSS outage. By overcoming the limitations of classical TMM algorithms, this research contributes to the advancement of navigation and tracking systems, with future work focusing on practical implementations and optimization for diverse navigation scenarios.
A SYSTEM-INTEGRATIVE APPROACH TO HOLISTIC COGNITION OF THE INDIVIDUALITY OF A GROWING PERSON AS A SUBJECT OF EDUCATION

The article presents and develops a system-integrative approach in relation to the holistic cognition of the individuality of a student as a subject of education. It develops, on the one hand, Merlin’s theory of inte-gral individuality and, on the other hand, the system approach in terms of its application in pedagogical practice. It is proposed to consider the interaction of the systems of a subject, integral individuality, and cognition as a polysystem. In this model, a subject is understood as an active entity whose manifestations are externally observable and can be recognized by others. Integral individuality is a self-developing and self-regulating system consistingof relatively closed subsystems (levels) of the integral large system «man –society». Cognition is studied in the aspect of pedagogical cognition of a student, which inte-grates the structures of the student’s self-cognition and the teacher’s or parent’s reflective knowledge in the interaction with this student. It is possible to talk about holistic cognition of a student’s individuality when his integral individuality becomes an object of cognition on the part of a teacher, parent, and the student himself. The novelty and theoretical significance of the work are determined by the fact that it fits into the currently developing area of psychological science: the development of tools for psychodiagnos-tic research that are in demand in pedagogical and social practice. The practical significance lies in the fact that it opens up the way for the development of new programs and technologies of human cognition.
Chaotic PCG - A New Key Generation Algorithm Based on Chaotic Selection

In today's internet world, where data is developing and growing rapidly, ensuring the security of the concept of big data has become an important study topic. One of the most basic functions required for cryptological encryption operations is random keys. Random number generators that will fulfill all the features required by the concept of randomness have not been developed yet. A new generator model has been developed by using a combination of permutation function and chaotic selection in order to adapt the statistically weak number sequences from the random number generators in the literature to the randomness theory. The performance of the random keys obtained as a result of this generator, called PCG (Per-muted congruential generator), on NIST tests has been examined. In line with the results obtained, it has been seen that the cryptological encryption keys produced from the chaotic selection-based PCG generator can be used in various fields.
Analysis of artificial intelligence chatbots and satisfaction for learning in mathematics education

The use of artificial intelligence (AI) is becoming increasingly widespread in today's society. This type of technology, and more specifically chatbots as virtual assistants, can be implemented and integrated as a support tool in educational environments. This article proposes the creation of chatbots in the subject of didactic of geometry of the Degree of Primary Education of the Faculty of Education at the University of Málaga, carried out by 120 students in two groups. The aim is to analyse these chatbots, as well as the students' evaluation and satisfaction with them. To this end, the students were given brief training so that they could generate their own bots and know how to integrate them into a social network and then use them. The results of the questionnaire show that the students have shown interest in the generation of their chatbot and its integration into the social network, have improved their digital competence, as well as demonstrating a high degree of satisfaction with their AI creations, along with the idea that this type of experience can be transferred to other subjects and educational contexts.
The Challenges of Digital Transformation Faced by Bank Employees in Malaysia

This study focuses on the challenges and best practices for digital transformation within AAA Bank Malaysia Berhad, specifically examining the experiences of employees in the Commercial Banking and Global Payments Solutions departments. The objective is to identify the challenges faced by bank employees in Malaysia regarding digitalization and digital transformation and propose best practices to overcome these challenges while ensuring a smooth transition that benefits both the organization and its staff. The study begins with a comprehensive literature review on digital transformation in the banking industry, the challenges encountered by bank employees during this process, and the best practices for successful digital transformation. It also highlights the regulatory environment that banks and financial institutions must navigate. A qualitative research approach is employed, involving interviews with selected employees ranging from managers to executives. The interview questions are designed to gather information on the factors impacting digital transformation, the effectiveness of current practices, and the challenges faced by employees in embracing digitalization. The collected data are analyzed using an inductive approach to identify themes and patterns, forming the basis for recommendations. The study provides insights into the challenges faced by bank employees during digital transformation and proposes best practices to facilitate a smooth transition. It also emphasizes the importance of security and compliance considerations in this process. The findings contribute to supporting bank workers in navigating the hurdles of digital transformation and helping the organization achieve successful implementation.
Pelatihan Guru SD Inpres Tiom Cara Mengajarkan Hitung Dasar Matematika dengan Metode Jarimatika dan Alat Peraga

Mathematics is one of the subjects that has been taught from the elementary level. However, in reality in the Papua Highlands area thats mathematics is still a problem for both students and teachers. Teachers who are used to teaching using the lecture method make students lazy to take math lessons which results in low math learning outcomes. Mathematics which has an abstract nature requires teachers to be able to concretize it so that it is easily understood by students, considering that students at the basic level are still classified as concrete thinkers. The purpose of implementing this PKM is to provide training for Inpres Tiom Elementary School teachers in creating a pleasant atmosphere for learning mathematics without having to burden students' brains, introduce methods that can be used to teach basic arithmetic, improve student learning outcomes, especially in fostering cooperation between Inpres Tiom Elementary School teacher partners with STKIP Abdi Wacana Wamena. Overcoming the problems above, a solution is provided so that the mathematics lessons being taught become fun lessons for elementary school children, partners are given learning training with the use of visual aids and the application of the jarimatics method. Based on the results of the evaluation of the training activities through the questionnaire provided, it was found that all the teachers who participated in the training strongly agreed with the training activities.
The Effect of Discovery Learning Method and Motivation on the Writing Ability of Students in the Tenth Grade of SMA Negeri 20 Palembang

The purpose of this research was to assess the effect of Discovery Learning Method and motivation of writing ability in descriptive text especially writing about pet animal at the tenth grade of SMAN 20 Palembang. As many as 72 students took the sample. The sampling technique was the tenth grade of students at the SMAN 20 Palembang, the data collection was done by distributing questionnaires on a 5-point likert scale with 15 statements. The analysis method used the normality test, homogeneity test and the two-way ANOVA. The researcher used the two-way ANOVA, to know the interaction effect between independent variable and dependent variable. The results showed that motivation between the experimental group and control group had a difference. The students wrote the descriptive text, they were taught using the discovery learning Method and had a significant increase on students’ writing ability in traditional teaching.
Comprehensive analysis of continuous authentication for mobile devices

Continuous mobile authentication is an imperative aspect of ensuring the security and privacy of data in the contemporary mobile computing landscape. With the proliferation of mobile devices and the increasing dependency on mobile applications, traditional authentication methods are steadily becoming inadequate to protect sensitive information from unauthorized access. Continuous authentication techniques aim to provide ongoing and seamless verification of user identities, enhancing security while minimizing user inconvenience. This survey paper presents a comprehensive analysis of traditional authentication methods, highlighting key techniques, their integration in mobile systems, applications, and limitations. Then, we elaborate on the various techniques employed in continuous authentication. By examining the strengths and weaknesses of different approaches, this survey aims to provide researchers, practitioners, and developers with a comprehensive understanding of continuous mobile authentication, enabling them to make informed decisions when implementing authentication mechanisms in mobile applications.
Performance evaluation of LSB steganography based on multiple image formats

In the proposed research work steganography technique has been designed and developed for carrier images having different formats. The algorithm is applicable for the image formats: PNG (Portable Network Graphics), TIFF (Tagged Image File Format), JPEG (Joint Photograph Expert Group), and BMP (Bitmap). A single algorithm for almost all types of image formats provides many advantages. Depending upon the size of the secret message, network bandwidth, and allowable distortion we can choose the format of the carrier. For embedding secret messages, the LSB substitution technique is applied in this paper. We utilized the concept of imperceptibility by calculating PSNR (Peak Signal to Noise Ratio), MSE (Mean Square Error), SSIM (Structure Similarity Index Metrics), Histogram, and Entropy. The proposed work is analyzed for robustness with favorable results. Two steganalysis tools: Stegexpose and Stegdetect are used to detect the hidden secret message. For analyzing the complexity of work capacity, concealing and retrieval times are calculated. Furthermore, the comparative outcome for the proposed work is very promising for different carrier image formats.
Bosam Guard: Web-Based Breast Cancer Detection

The "Bosom Guard" project represents a pioneering effort in the field of breast cancer detection by seamlessly integrating cutting-edge machine learning techniques with the versatile Flask framework to develop a sophisticated web-based tool. This innovative application aims to significantly enhance the efficiency of breast cancer detection by leveraging a meticulously trained dataset. The Flask-based web application facilitates a user-friendly experience, empowering individuals to effortlessly upload medical images for analysis by the trained machine learning model. The results are promptly displayed on the web page, indicating potential malignancies. This streamlined process contributes to the early detection of breast cancer, a critical factor in positively influencing patient outcomes. The project's focus on accessibility is evident in its intuitive interface, fostering not only ease of use but also encouraging meaningful discussions between medical professionals and patients. By bridging the gap between technological advancements and healthcare, "Bosom Guard" emerges as a comprehensive solution, seamlessly integrating machine learning, image processing, and web development to offer an accurate and timely breast cancer detection tool. Given the global prevalence and severity of breast cancer, the project addresses key limitations associated with existing detection methods such as mammography and manual clinical examinations. These limitations include elevated costs, limited accessibility, and the inherent potential for human error. "Bosom Guard" not only overcomes these challenges but sets a new standard for the intersection of technology and healthcare, ultimately contributing to early breast cancer detection advancement.
Impact of Pay Satisfaction on Employee Engagement and Employee Intention to Turnover

Purpose: The purpose of this research paper was to investigate the impact of pay satisfaction on employee engagement and employee intention to turnover. &#x0D; With the current tight labor market, competition for top talent is fierce. Organizations that can offer competitive pay and benefits packages are more likely to attract and retain the best employees. High turnover rates can be costly for organizations, both in terms of the direct costs of recruiting and training new employees, as well as the indirect costs of lost productivity and customer service. By offering competitive pay, organizations can reduce turnover rates and keep their best employees. Employee engagement is crucial for organizational success. Pay satisfaction is one of the key drivers of employee engagement, so organizations that can offer competitive pay and benefits are more likely to have engaged employees who are more productive and provide higher quality customer service. Design/Methodology/Approach: This study is exploratory study and was conducted on the employees of the five private banks in Mumbai. A sample of 200 employees was randomly selected to study their pay satisfaction, employee engagement and turnover intention. Originality/value The study surveyed impact of pay satisfaction on employee engagement and turnover intentions of employees.
Recommender system based on collaborative filtering

Collaborative filtering is a popular technique for providing personalized recommendations in recommender systems. However, the sparsity problem and the accuracy-diversity tradeoff are major challenges that limit its performance. In this article, we propose a novel approach that combines matrix factorization with novelty metrics to improve the accuracy and diversity of recommendations. We evaluate our approach on the MovieLens dataset and compare it with several state-of-the-art techniques, including neighborhood-based methods, probabilistic models, and hybrid approaches. Our experimental results show that our method is better than other techniques in terms of both accuracy and diversity, as measured by precision, recall, and novelty metrics.