Reviewerly/exHarmony huggingface dataset:
The Use of Word Walls Technique to Improve Students’ Eleventh Grade Writing Ability in Descriptive Text

This study aims to determine the differences in cognitive learning outcomes (in the form of pre-test and post-test scores) of students in class X IPA 1 as a control class and class XI IPA 4 as experimental class at SMA N 1 Bengkulu Tengah, by providing treatment using the Word Walls. This type of research is Quasi Experiment. The population is eleventh grade students of SMA N 1 Bengkulu Tengah with 368 students. From this population, 37 students were taken as samples. Each class is 35 students XI IPA 1 and 35 students XI MIPA 4. Research data were collected through writing tests and documentation. The results showed a significant change in the experimental class with an average value of 71.63 while in the control class an average value of 58,37. The post-test results show that the Word Walls strategy can improve students' writing skills. Thus, the Word Walls strategy can be one of effective strategy to increase students‟ writing ability.
Style Transfer–assisted Deep Learning Method for Kidney Segmentation at Multiphase MRI

Purpose To develop and validate a semisupervised style transfer–assisted deep learning method for automated segmentation of the kidneys using multiphase contrast-enhanced (MCE) MRI acquisitions. Materials and Methods This retrospective, Health Insurance Portability and Accountability Act–compliant, institutional review board–approved study included 125 patients (mean age, 57.3 years; 67 male, 58 female) with renal masses. Cohort 1 consisted of 102 coronal T2-weighted MRI acquisitions and 27 MCE MRI acquisitions during the corticomedullary phase. Cohort 2 comprised 92 MCE MRI acquisitions (23 acquisitions during four phases each, including precontrast, corticomedullary, early nephrographic, and nephrographic phases). The kidneys were manually segmented on T2-weighted images. A cycle-consistent generative adversarial network (CycleGAN) was trained to generate anatomically coregistered synthetic corticomedullary style images using T2-weighted images as input. Synthetic images for precontrast, early nephrographic, and nephrographic phases were then generated using the synthetic corticomedullary images as input. Mask region–based convolutional neural networks were trained on the four synthetic phase series for kidney segmentation using T2-weighted masks. Segmentation performance was evaluated in a different cohort of 20 originally acquired MCE MRI examinations by using Dice and Jaccard scores. Results The CycleGAN network successfully generated anatomically coregistered synthetic MCE MRI–like datasets from T2-weighted acquisitions. The proposed deep learning approach for kidney segmentation achieved high mean Dice scores in all four phases of the original MCE MRI acquisitions (0.91 for precontrast, 0.92 for corticomedullary, 0.91 for early nephrographic, and 0.93 for nephrographic). Conclusion The proposed deep learning approach achieved high performance in kidney segmentation on different MCE MRI acquisitions. Keywords: Kidney Segmentation, Generative Adversarial Network, CycleGAN, Convolutional Neural Network, Transfer Learning Supplemental material is available for this article. Published under a CC BY 4.0 license.
Wrap-type phase unwrapping utilizing arctangent operation as a differential amplifier through shifted phase maps.

This paper introduces a novel phase unwrapping algorithm based on the investigation of the arctangent function. Acting as a differential amplifier associated with nonlinear response, the arctangent operation facilitates distinguishing various wrap types. Phase jumps from two shifted-wrapped maps aligned on the same grids are combined as a pair to function as differential mode inputs. This discerns wraps from continuous and discontinuous surfaces through distinct outputs (threshold phase values). Simulations and experiments validate the feasibility of the proposed wrap-type identification. A complete mathematical form is derived to explain the effects of shifted wraps due to various causes. This paper significantly contributes to the foundational understanding of the 2π ambiguity problem in phase unwrapping.
The Development of an Instructional Material Book for Increasing the Effectiveness of the Learning Process in the Department of Religious Extension Education

This study aims to develop an instructional material book for increasing the learning process's effectiveness in the religious extension education department. Religious extension education students at Institut Agama Kristen Negeri Tarutung participated in this research. This research method used research and development with the Borg and Gall Model, which, after being modified and adapted, consists of six stages, including (l) doing research and information collection; (2) planning; (3) developing a premier prototype; (4) conducting formative evaluation; (5) conducting product implementation; and (6) conducting summative evaluation. The validation process involved five experts assessing the content's material, media, design, evaluation, and language. Those experts were given questionnaires to evaluate the book's content, media, design, evaluation, and language appropriateness. Accordingly, the research results showed that the instructional material book about Christian religious extension and counseling techniques was feasible, proper, or valid to be used as an instructional material book in the Department of Religious Extension Education. Furthermore, according to the final test (post-test) of summative results carried out after the learning process using the book, the average student's overall score was 87.06, higher than the learning completeness score set at 75. Therefore, it was concluded that instructional material about Christian religious extension and counseling techniques was effective and helpful in enhancing students' knowledge and skills.
Mobile Apps–Based Applications in Libraries and Information Centers: A Systematic Review of the Literature and Future Research Agendas

Due to the worldwide rapid adoption of mobile-based applications in libraries to foster the delivery of information services on mobile devices of library users, there are vast and growing collections of peer-reviewed research and conference papers available in various online databases. Analyzing the literature related to mobile-based library services is one method to conduct future research to enhance library collections and services in the digital age. The primary goal of this paper is to review the most relevant literature in the field to better understand these previous research works, identify trends and to determine the research gaps for future studies. A comprehensive and systematic review of the literature on mobile-based applications in libraries and information centres of peer-reviewed research papers, and conference proceedings published in online databases (ProQuest-LISA and Web of Science) during the last seven years (2015–2022) was conducted for critical analysis and to address the present trends of mobile-based applications in these studies. We identified that many studies have described the use of mobile apps–based applications like Mobile Online Public Access Catalogue (MOPAC), Mobile websites, Mobile databases, WhatsApp, SMS, RSS, and Quick Response (QR) Codes in the enhancement of library collections and services around the globe. We observed that 75.93% of documents were published as research articles, and 42.59% of publications were identified under the two authorship patterns. Also, the authors investigated the current and future state of the research in this field by synthesizing the results of published high-quality experimental studies and systematic mapping studies on related disciplines. We hope that this study will be helpful for librarians and information professionals to better understand and implement the applications of mobile technologies for enhancement of library collections and services in the virtual world.
Late Breaking Results: Configurable Ring Oscillators as a Side-Channel Countermeasure

Side-channel attacks are a threat to computing devices. In this work, we propose a novel countermeasure against power analysis side-channel attacks. This countermeasure uses ring oscillators with runtime-configurable chain lengths to generate noise to hide the effects of the secret intermediate values on the device’s power consumption. We develop our countermeasure to be compatible with a state-of-the-art of side-channel-attack detection mechanism. Therefore, our solution does not incur any extra area overhead as it uses a subset of the circuit needed for detection. We evaluate our countermeasure using the test vector leakage assessment test (TVLA test). When our countermeasure is active no side-channel leakage could be detected.
ВИКОРИСТАННЯ МАРГАЛЕФОВОЙ МОДЕЛІ СУКЦЕСІЇ В ТЕХНОЛОГІЯХ ДИСТАНЦІЙНОГО ВИЯВЛЕННЯ ОЗНАК АНТРОПОГЕННИХ ВПЛИВІВ НА РОСЛИННИЙ

Using the method of discrete modeling of dynamic systems, based on analysis of photo’s colorimetric parameters investigated area, obtained using unmanned aerial-up apparatus, is proposed for detection signs of subtle changes in crops of cultivated plants due to anthropogenic impacts on biological production processes. Nature of areas colorimetric parameters exposed reclamation, along usual cultural practices, almost completely coincides with the character of Margalef model of succession parameters dynamics, which is absent on not remediated areas, has been found
Securing Reusable IP Cores using Voice Biometric based Watermark

Reusable third-party intellectual property (3PIP) cores within the supply chain are vulnerable to hardware threats such as IP piracy and false claim of ownership. Securing the reusable IP cores is vital to protect the original vendor from a substantial revenue loss and his/her brand value. This paper presents a novel hardware IP core watermarking methodology based on voice biometric signature to enable detective control against IP piracy and resolve IP ownership claim. To the best of our knowledge, this is the first voice biometric-based hardware IP protection technique. This paper proposes a novel methodology for generating a unique voice signature template using distinct voice features, viz. jitter and shimmer, along with pitch and intensity values at different timestamps. We present a high-level synthesis (HLS) design methodology of embedding a voice signature digital template during the register allocation phase to generate secured IP cores. Results and analysis imply that the proposed approach can significantly improve security in terms of stronger authorship proof and higher tamper tolerance compared to the existing IP watermarking approaches. Additionally, we also analyze the uniqueness of a voice signature and its security against forgery attack. We achieve higher security at negligible design cost overhead.
Learning Burnout; Teacher's Strategy in Creating Effective Learning

Learning burnout must get serious attention from the teacher so that the learning he does becomes effective and efficient. This study aims to discover the strategies used to overcome learning saturation for early childhood at school. This type of research uses a qualitative case study approach, an inquiry method that emphasizes the search for meaning, understanding, concepts, characteristics, symptoms, symbols or descriptions of a phenomenon in the research setting, prioritizing quality, using several methods, and presenting narratively. Data collection techniques were carried out through interviews, observation and documentation. The data analysis technique was carried out through three stages: data reduction, data presentation, and conclusion drawing. The research and discussion results show that strategies for overcoming learning saturation in early childhood have been carried out very well and optimally. The use of methods, media, learning strategies and interactions with students is planned and systematic to reduce learning boredom in the classroom.
MTAN: A semi-supervised learning model for kidney tumor segmentation

BACKGROUND: Medical image segmentation is crucial in disease diagnosis and treatment planning. Deep learning (DL) techniques have shown promise. However, optimizing DL models requires setting numerous parameters, and demands substantial labeled datasets, which are labor-intensive to create. OBJECTIVE: This study proposes a semi-supervised model that can utilize labeled and unlabeled data to accurately segment kidneys, tumors, and cysts on CT images, even with limited labeled samples. METHODS: An end-to-end semi-supervised learning model named MTAN (Mean Teacher Attention N-Net) is designed to segment kidneys, tumors, and cysts on CT images. The MTAN model is built on the foundation of the AN-Net architecture, functioning dually as teachers and students. In its student role, AN-Net learns conventionally. In its teacher role, it generates objects and instructs the student model on their utilization to enhance learning quality. The semi-supervised nature of MTAN allows it to effectively utilize unlabeled data for training, thus improving performance and reducing overfitting. RESULTS: We evaluate the proposed model using two CT image datasets (KiTS19 and KiTS21). In the KiTS19 dataset, MTAN achieved segmentation results with an average Dice score of 0.975 for kidneys and 0.869 for tumors, respectively. Moreover, on the KiTS21 dataset, MTAN demonstrates its robustness, yielding average Dice scores of 0.977 for kidneys, 0.886 for masses, 0.861 for tumors, and 0.759 for cysts, respectively. CONCLUSION: The proposed MTAN model presents a compelling solution for accurate medical image segmentation, particularly in scenarios where the labeled data is scarce. By effectively utilizing the unlabeled data through a semi-supervised learning approach, MTAN mitigates overfitting concerns and achieves high-quality segmentation results. The consistent performance across two distinct datasets, KiTS19 and KiTS21, underscores model’s reliability and potential for clinical reference.
Social and psychological factors of corruption

The article examines various scientific views on the types of socio-psychological factors of corruption crime and corruption in general. It is noted that the propensity to commit corrupt acts is determined by a set of social attitudes of an individual. The emergence of specific forms of corruption is closely related to the environment which creates favorable ground and conditions for corruption. The emergence and development of all criminal behavior, including corruption, involves such complex mental processes as awareness, intrinsic motivation, socialization, judgment and decision-making.The author emphasizes that corrupt behavior can be viewed as a complex of distorted social relations. Corruption occurs when legal norms, regulatory and control systems, and informal social rules facilitate or neglect corrupt behavior. The psychological factors of corrupt behavior include the division of responsibilities, guilt, fear of punishment, frustration, and the desire to succeed, as well as attitudes and values. The climate of corruption is also shaped by citizens themselves, namely by their dismissive attitude to corruption.In conclusion, it is noted that corrupt behavior is determined by the impact on the psyche of society - both micro and macro environment, conditions of socialization of the individual - assimilation of social norms in the process of education, upbringing and individual psychological properties.To better understand the social psychology of corruption, research is needed on the impact of group dynamics and interaction, social identity, trust, culture, and other factors on individual propensity to engage in corrupt behavior.It is also necessary to study political elites to understand how they perceive the costs and benefits of corrupt practices and how and why they rationalize such behavior.One of the tasks facing scientists should be to identify the causes and conditions that contribute to the formation of a loyal attitude to corruption in society. This, in turn, will create preconditions for the formation of a stable public opinion with a negative attitude to corruption (corruption resistance), as well as for the development of effective mechanisms of sustainable communication between public authorities and society.
NEW SUBJECT «SCIENCE» IN SECONDARY EDUCATION INSTITUTIONS

The analysis of the current state of education in Ukraine and in a number of other countries of the world shows that the study of the cycle of natural disciplines in secondary education institutions today must take into account the complexity and abstractness of data about the surrounding world. The development of information technologies and methods of obtaining information in combination with the blurring of clear boundaries between separate scientific fields and the formation of related inter-branch connections, and, as a result, technologies, requires the transformation of teaching methods. An effective solution of the educational tasks of a modern personality, adapted to the rapid flux of the world and the pace of progress, is possible if the new subject «Science» is introduced into the educational process, which incorporates the positive features of individual natural disciplines and has many unique features and advantages, realized due to the disclosure interdisciplinary connections and a special method of «scientific inquiry», which allows forming strong and integral connections between theoretical and practical aspects of education. Thus, it becomes clear that the development of educational materials, textbooks and other didactic materials for teaching and studying «Science» subject is a relevant and urgent task.
FEATURES LECTURES ON PHYSICS USING INFORMATION AND COMMUNICATION TECHNOLOGIES IN UNIVERSITY

In the article the feasibility of using modern information and communication technologies in creating and conducting lectures on general physics at the university. The basic didactic and methodological requirements for multimedia lectures’ how to find materials for lectures on the Internet, presented slide masters multimedia support lectures from the course «Thermodynamics and statistical physics».
PHYSICAL PROBLEMS AS ONE OF THE METHODS OF FORMING NATURAL COMPETENCES OF STUDENTS AT THE LESSONS OF STEREOMETRY

The article deals with the peculiarities of the formation of students’ natural competences at the lessons of stereometry. The significance of applied tasks in the educational process of secondary education as a method of diagnosing the level of mastering, consolidation, verification and control of theoretical knowledge; a means of acquiring practical skills (experimentation, design, modelling), skills of professional self-determination, implementation of the principle of polytechnicism, environmental and economic education is substantiated. The authors demonstrate some examples of problems with physical content to the topics of stereometry: “Prism” and “Pyramid”, which contribute to ensuring a solid and conscious mastery of the system of physical knowledge, practical skills and abilities by students, awareness of how physical theories, laws, regularities are applied in practice.
Analisis Kompetensi Literasi Informasi Siswa Madrasah Aliyah Negeri 2 Model Medan

This study is an analysis of the Information Literacy Competence of the Madrasah Aliyah Negeri 2 Model. Medan The purpose of study is to find out how the level information literacy competence of student in defeniting problems, in seeking information, in accessing, using, synthesizing and evaluating information. This study uses descriptive research with a quantitative approach. where the method of data collection researchers using observation, questionnaires, and documentation. The questionnaire was distributed via WhatsApp to 12 th grade student with 5 classes, namely Religion Science 1, Religion Science 2, Religion Science 3 and Language Science 1 and Languange Sciences 2 with a population of 158 students with the Random sample techique, namely throught random bounded by the slovin formula namely as many as 61 studemnt. Therefore, this questionnaire was made using indicatators from the big 6 model. Meanwhile, the data analysis technique used was using the percentage formula and data Proccesing with SPSS 24 Data Using Product Moment, for reability using Alpha Cronbach's. So the results obtained in the reliability test 0,897. The results of this study show that the information literacy competence of students of Madarasah Aliyah Negeri 2 Medan Model in defening tasks, information seeking strategis, using information, synthesizing, and evaluating is good for location and access. Total of all big 6 indicators obtained 3,03 (Positive).
The Impact of Using the Cloud Computing Upon the Quality of Accounting Information and it's Reflection Upon the Development of the World Standards of Financial Reports in Jordanian Corporations

Purpose: This study seeks to examine the impact of cloud computing on the quality of accounting information and its alignment with international financial reporting standards. The researcher randomly selected a group of corporations as a representative sample of those adopting cloud computing. The study employed both theoretical and applied research methods, including file and record analysis and interviews with key personnel, to draw conclusions.&#x0D; &#x0D; Design/Methodology/Approach: The research methodology involved the selection of a random group of corporations for analysis. The study combined theoretical exploration with practical examination of files and interviews with relevant stakeholders, such as managers and accountants. This approach allowed for a comprehensive assessment of the impact of cloud computing on accounting information quality.&#x0D; &#x0D; Findings: The study yielded several key findings; Cloud computing relies on multiple components, including customers, infrastructure, applications, and platforms. The adoption of cloud computing positively influences the quality and credibility of accounting information. However, there are inherent risks associated with cloud computing, including security, contractual issues, and potential human errors. These risks must be addressed.&#x0D; &#x0D; Research, Practical &amp; Social implications: This research carries significant implications; The accounting profession must develop a code of conduct addressing the risks associated with cloud computing. Regulations and procedures governing the relationship between service providers and users need updating, with a focus on contractual and control aspects. Training programs should be implemented to educate both service providers and users about cloud computing, mitigating associated risks. Stringent regulations should be enacted to safeguard the confidentiality of accounting information, preventing unauthorized access or disclosure.&#x0D; &#x0D; Originality/Value: This study's originality lies in its comprehensive exploration of cloud computing's impact on accounting information quality and its practical implications for financial reporting. The research contributes valuable insights for professionals, regulators, and organizations adopting cloud technologies in the field of accounting.
THE ROLE OF TEST TASKS IN THE FORMATION OF BIOLOGICAL COMPETENCE IN HIGHER MEDICAL EDUCATION ACQUIRES

International scientific conference «Pedagogy and psychology in the modern world: interaction vectors» : conference proceedings (August 2–3, 2023 Wloclawek, the Republic of Poland). Riga, Latvia : «Baltija Publishing», 2023. 88 pages.