Reviewerly/exHarmony huggingface dataset:
Promoting Digitally Supported Inquiry Learning in Diverse Classrooms Through Teacher Training

Abstract In order to effectively use digital media to promote low-barrier inquiry learning, teachers need professional knowledge and skills, as well as positive attitudes and self-efficacy assumptions. This study examines the effectiveness of in-service training on changing teachers’ attitudes and self-efficacy assumptions in the area of inclusion and digitalization as important prerequisites for being able to design digital learning environments for doing science in inclusive settings. The single-factor study design included a three-stage variation of teacher training sessions, in which 141 Bavarian biology teachers participated in small groups in a one-day webinar. Teachers planned and performed a digitally supported experimentation and were trained to meet the needs of diverse learners. There are significant improvements in attitudes toward digitalization and in teachers’ self-efficacy assumptions, regardless of the training group. However, there are no statistically significant differences between the training groups. Thus, although the training is effective overall, the influence of the theoretical discussion is too small compared to other phases of the intervention, such as the practical experimentation. There is also a correlation between attitudes towards inclusion and digitalization after the training. Overall, there is a demand for inclusion and digitalization to be used in a more integrated way in teacher training, and thus to further promote the participation of all students in doing science.
MENINGKATKAN DAYA BACA SISWA MELALUI POJOK BACA DI SMP

Reading corners can be used to increase students' interest in reading. This research aims to improve students' reading ability through reading corners in junior high schools. What is contained in this research is how effective the reading corner is in increasing students' reading interest. What is the school doing to prepare for the reading corner movement in the classroom? What are the problems behind students' low interest in reading? This research is a qualitative descriptive study. This research uses data collection techniques, namely interviews, observation techniques, data reduction, data presentation. The techniques for checking the validity of the data used in this research are observation and interviews. There are several factors that influence improving students' reading ability through reading corners in junior high schools, namely having a reading corner in each class makes students more enthusiastic about reading books, and the reading corner in each class is made as attractive as possible.
Semantic Segmentation of Remote Sensing Images Based on Swin Transformer

With the evolution of Earth observation technology and remote sensing technologies, the amount of data available for high-resolution remote sensing images has exploded, and high-precision image segmentation has become a current research hotspot. Semantic segmentation technology is becoming increasingly important in fields such as urban planning, land use management, and autonomous driving. Large disparities within intraclass and modest differences intraclass are hallmarks of high resolution remote sensing pictures. Traditional image semantic segmentation methods rely on human-computer interaction and have poor generalization ability. When facing remote sensing images with rich types of ground objects and significant differences in target scales, the segmentation accuracy is not high. In this paper, we suggest an UperSwin decoder structure. The decoder includes several Swin transformer blocks and a fusion upsampling module, where the multi head contextual attention module in the Swin transformer block simultaneously uses multi-scale features and upsampling output features from the backbone network. In addition, the fusion upsampling module concatenates the backbone network features with the output features of the Swin transformer block, and then performs upsampling operations, preserving more detailed information. This article evaluates the accuracy and intersection ratio indicators on the Potsdam and Vaihingen datasets, verifying the feasibility and effectiveness of the model.
PERAN ORANG TUA DALAM MENINGKATKAN KEMAMPUAN MEMBACA PERMULAAN ANAK USIA SEKOLAH DASAR

The formulation of the problems in this study were (1) what is the role of parents in educating children to read in the family in Ulupulu 1 Village, Nangaroro District, Nagekeo Regency? (2) what is the reading ability of elementary school age children in Ulupulu 1 Village, Nagaroro District, Negekeo Regency? (3) what is the role of parents in improving children's beginning reading skills in Ulupulu 1 Village, Nangaroro District, Nagekeo Regency? This study aims to: (1) the role of parents in educating children to read in the family. (2) the ability to read in Ulupulu 1 village, Nagaroro sub-district, Nagekeo district. (3) the role of parents in improving the early reading skills of elementary school aged children in Ulupulu 1 village, Nagaroro district, Nagekeo district. This research is a qualitative research. Because it is used to see the relationship between the role of parents and children's reading ability based on facts. The data collection technique is done by conducting in-depth interviews, observation, and documentation. The subjects of this study were parents and grade II elementary school students in Ulupulu I village, Nangaroro district, Nagekeo district in 2020 on the subject of "reading the beginning". Data analysis techniques used the data reduction stage, data presentation, and drawing conclusions. The conclusion of this study is that the role of parents in Ulupulu 1 village in improving children's early reading skills is done by guiding, motivating and providing facilities.
Design and Implementation of Speech Signal Feature Extraction Algorithm Based on MATLAB

Speech signal is a widely-used type of information, with the development of artificial intelligence, the processing algorithms of speech signals is also rapidly evolving. The key to speech signal processing is to extract the feature information of speech signals. This paper extracts the fundamental period and LPC parameters of speech, and detects the resonance peak information of speech signals by focusing on real-time collected speech signals and related preprocessing. Based on understanding the principles of typical algorithms, the programming implementation and algorithmic results are provided, which can be applied to many places where speech signals are used, such as speech compression, speech recognition, and speech synthesis.
Performance fuzzy analytical hierarchy process to identify drought areas for disaster mitigation

Drought causes crop failure in the agricultural sector and a limited supply of clean water. Land damage due to drought in Lamongan has reached ±12,000 ha in the last decade. The lack of information regarding drought disaster mitigation resulted in quite large losses in several agricultural sectors. The purpose of this study is to develop a decision support system (DSS) that can provide information regarding the identification of drought-prone areas. The fuzzy analytical hierarchy process (FAHP) method is implemented with four criteria: rainfall intensity, slope, soil type, and distance to the river. FAHP is good for processing the weighting of several criteria and categories to produce good choices. Results, the tests carried out there were 20 sub-districts prone to drought, with an accuracy rate of the FAHP method of 85%. The average value of respondent satisfaction averaged 97.2%. DSS application can provide the status of areas prone to drought. For future studies, the temperature and evapotranspiration parameters can be added, to provide better results.
Different Embedding Frameworks of Reversible Information Hiding in Encrypted Domain

Reversible data hiding in encrypted domain takes encrypted data as the carrier to be embedded, which can embed secret information for lossless transmission on the basis of protecting data content. The reversibility of this technology can ensure that the original data can be recovered lossless after the secret information is extracted, which has important research significance for sensitive carrier data fields such as military, medical and judicial forensics. To better carry out related research of reversible data hiding in encrypted domain, different embedding frameworks of this technology are summarized in this paper.
Quadruple Extraction of Aspect-Category-Emotion-Opinion Through Comparative Learning

In recent years, significant advances have been made in novel modelling tasks centred on aspectual sentiment analysis. This task shows relatively good results by extracting aspect-category-opinion-sentiment (ACOS) quaternions. To further improve the performance of the model in ACOS quadruplet extraction, this study proposes an integrated approach combining encoder-decoder networks, multi-level perceptrons (MLP), supervised contrast loss (SCL) and representation structure (ES) metrics. The integration of these techniques aims to improve the generation of more informative features by propagating aggregated representations from the encoder to the multilevel perceptron. In addition, contrast learning methods are used to encourage models to generate discriminable input representations on key attributes, thereby facilitating distinguishable input representations that facilitate the task of second-level prediction. In addition, an expression structure output target was introduced which was combined into an autoregressive encoder-decoder model to generate quartets, and empirical results confirmed the excellent performance of the model on three ACOS datasets. The experiment effectively established the feasibility of the task and highlighted its strengths in generating aspects for sentiment analysis.
Research on Risk Evolution of Online Food Delivery Platforms Based on Fuzzy Cognitive Map

The rapid growth of the online food delivery market in China has led to a range of risk issues, including food safety and delivery transportation risks. This article aims to address these risks by establishing a fuzzy cognitive map for online food delivery platforms (Taking Meituan as an example) and studying the evolutionary characteristics of these risks. Firstly, a risk criteria system is developed considering multiple business scenarios such as online service, consumption activity, offline service and offline management. Secondly, a fuzzy cognitive map is constructed to represent the relations between risk criteria. Finally, the risk feature evolution results are obtained using the iterative algorithm of the fuzzy cognitive map. By analyzing these results, suggestions for risk management in online food delivery platforms are proposed.
Analisis Kecerdasan Emosional Siswa Sekolah Menengah Atas

Emotional intelligence is an ability that every student needs to have in participating in the learning process. This research was conducted on class XII students of SMAN 1 Rancah to determine their emotional intelligence mastery category. This research does not look at gender as a comparison material for categories of mastery of emotional intelligence. The research instrument used a questionnaire from Goleman with a Likert scale. There are five indicators of emotional intelligence, namely recognizing one's emotions, managing emotions, motivating oneself, recognizing other people's emotions and building relationships. The study results show that students in each indicator are in the medium category. It is rare to find students in the low category, as well as those in the high category.
Big Data in the Education

In thе article an attempt is made to describe the possibilities of application of Big data technology in the field of education. It presents many definitions, the principles of working with Big Data, some of the possible applications of technology in the learning process, as well as possible barriers to its use in education.
Professional Values of Teachers in Training

The article presents the results of an empirical study conducted through a survey among 123 students studying to become teachers at Sofia University “St. Kliment Ohridskiˮ. The purpose of the study is to identify the professional values of this target group. The results testify to prevailing postmodern and constructivist professional values, but also fluctuations in the value orientation regarding the active role of the teacher and the student in the learning-teaching process. Responsibility, respect, empathy, professionalism, adaptability, motivation and patience were identified as general professional values.
Communication with the Future and its Appropriation in the Rhetorical Images of Time

The article presents the material of the original masters-level lecture course “Practical Rhetoric and Communication Management” and addresses the problems of theoretical and applied philosophy regarding the probability factor. It involves free self-awareness, conventional types of knowledge, forecasting modes, specific types of intellectual activity and the relevant types of speech, when communication appears as a dialogue with the future, which, in confirmation of the original unity of time, illuminates all three temporal forms.The Preamble defines the reasons supporting the topicality of the “problem of the future” in the Human World, which provokes a demand for the ability to a) think about the future, b) speak its language, and c) understand its tools. The role of rhetoric in realization of our relationship with the future is noted.In Section I, rhetoric is presented as a kind of art and a subject of knowledge. Considered in three dimensions and in connection with three types of mind, it is defined as the free self-consciousness convincingly expressed in language.Section II presents practical rhetoric as an art of conscious speech management of life in time and space. The connection between it, time and the probable dimension of life has been clarified. The concept and term “rhetorical images of time” are proposed, the possible composition of the latter is given.In Section III, the rhetorical images of time in the field of activity are considered, a definition and language for the rhetoric of purpose, result, and evaluation are proposed. In the “internal” opuscule, the rhetorical “axiomatics of Aristotle” (the author’s term) is formulated, extended from the second to the fifth axiomatizations by the author himself. As a result, the rhetorical axiomatics of a) free self-awareness, b) conventional knowledge, c) project activity – the activity of mastering the future, d) its agents: consultants, analysts, experts, implementers and managers-administrators, e) types of project communication, was obtained. A rhetorical definition of the term “project” is introduced.The Epilogue offers rhetorical definitions of management as powerful communication regarding personal mastery of the future and power as the exercise of the right to manage.
PERSEPSI SISWA TERHADAP LAYANAN TENAGA TATA USAHA DI UPT SMA NEGERI 1 PINRANG

This study examines student perceptions of administrative staff services at UPT SMA Negeri 1 Pinrang. The purpose of this study was to describe student perceptions of administrative staff services which can be seen from the six indicators of measuring service namely; ability, attitude, appearance, attention, action and responsibility (accountability). The type of research used in this study is descriptive quantitative survey method. The research subjects were class XI students of SMA Negeri 1 Pinrang with a total sample of 81 students determined by the sampling technique names Purposive Sampling using the Slovin formula. Test the validity of the research instrument using Product Moment and test the reliability using Cronbach Alpha. Development of instruments through expert validators by supervising lecturers and entrusted lecturers. The instrument used was a questionnaire with respondents. Methods of data collection in the form of observation, questionnaires and documentation. Data analysis techniques using descriptive quantitative analysis. The results showed that students' perceptions of administrative staff services at UPT SMA Negeri 1 Pinrang seen from six indicators were as follows: (1) Ability was in the good category, the highest percentage was achieved by the statement that administrative staff provided ideas or services new. (2) The attitude is in the good category, the highest percentage is achieved by the statement that the administrative staff is able to provide excellent service. (3) Appearance, the highest percentage was achieved by honest administration staff statements in providing information. (4) Attention, the highest percentage was achieved by the statement that the administrative staff respects the opinions of others. (5) Action, the highest percentage was achieved by the statement that administrative staff can make information system services and student administration reporting. (6) Responsibility (accountability), the highest percentage is achieved by the statement that administrative staff are objective and fair in providing services to students. The results of all indicators are in the very good category.
Vietnes mammadaba.lv tulkojums vieglajā valodā: leksikas analīze

The article “Translation of the website mammadaba.lv in easy language: lexical analysis” aims to evaluate the use of the easy language lexicon to determine which solutions must be applied to reduce the cognitive load on the lexical level. In the study, only texts validated in the target group were used. When creating a text in easy language, verbosity should be avoided, the use of nouns should be carefully considered, the principle “one word – one concept” should be followed, and a concrete lexicon should be used. The keyword of the synonym list should be used to reduce the reader’s cognitive load. Moreover, the most appropriate strategy for handling foreign words and terms should be selected: replacement, explanation, or leaving. It is also important to consider the grounding of using the means of expression. There are no strict borders for easy language writing style – it has official business and publicist style characteristics. The solutions that ensure text functionality for an Easy language reader do not cover all potentialities. However, each Easy language parameter on the lexical level completely corresponds to the norms of standard Latvian.
Pieturzīmes interneta forumos

On the internet, people can connect with others and share news and experiences through social media such as internet forums, social networks, or blogs. An internet forum is a discussion group within an online service organisation where users with similar interests can exchange ideas, find valuable information, and share files. Users use a variety of graphical means, such as punctuation, emoticons, and emojis, to express emotions and attitudes in text. The aim is to analyse the use of punctuation marks in internet forums. Punctuation has at least six functions in modern texts: grammatical, emotive, intonational, conative, phatic, and text-formation function. The study analyses the use of punctuation marks (ellipses, dashes, quotation marks, exclamation marks, question marks, and conjunctions of punctuation marks) in emotive, intonational, text-formation, phatic, and conative functions. The empirical basis of the research comprises 500 syntactic constructions manually extracted from 13 internet forums – “BOOT”, “Cālis.lv”, “Copes Lietas”, “debets-kredīts”, “FIZMATI.LV”, “Dieviete”, “Kursors.lv”, “iAuto”, “Māmiņu klubs”, “PRECOS”, “Sieviešu Klubs”, “BUILDING.LV” and “Dabasdati.lv”. The article compares the use of punctuation in internet forums for female and male audiences. The study focuses on the posts, comments, and headlines of internet forums. The study employs a descriptive method.
Decentralized Healthcare System using Blockchain

Abstract—This research paper explores the integration of blockchain technology in healthcare to establish a decentralized system that enhances security, privacy, and patient control over health data. The proposed framework utilizes blockchain's tamper-resistant ledger to create a transparent and secure repository for patient records, ensuring data integrity and confidentiality. Smart contracts enable automated and controlled data sharing, fostering collaboration among healthcare stakeholders. Real-world implementations and case studies illustrate the potential impact of this decentralized healthcare system in revolutionizing data management, research collaboration, and patient outcomes. The findings highlight the significance of blockchain in addressing critical challenges in traditional healthcare systems, presenting a promising solution for a more secure and patient-centric future. Keywords—Distributed Ledger, Smart Contracts, Data Integrity, Patient Control, User interface, Regulatory compliance, Immutable Ledger
Software Engineering Education and Training: Industry Demands, Curriculum Deficits, and Pedagogy Direction

The demands placed on software engineers have increased dramatically since Mary Shaw asked1 for universities to educate computer scientists in different roles pertaining to software engineering 23 years ago. Since her roadmap paper in 2000, software systems have increased in complexity, size, and criticality as well. The aim of this special issue was to solicit, review, and publish original high-quality research to prepare the next generation of software engineers for these challenges. Priority was given to high-impact papers that address education in the areas of secure software, agile software engineering, gamification, and particularly industry/university collaboration.
MelodyAI: AI-Powered Melodies Generation

MelodyAI AI-Powered Melodies Generation embodies a cutting-edge exploration at the intersection of artificial intelligence and artistic expression. Drawing inspiration from a seminal research paper on music generation with neural networks, we set out to develop an innovative platform for crafting original musical compositions. Harnessing the potential of advanced deep learning models—such as Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTMs), and attention mechanisms—we aspire to revolutionize the way music is created and experienced. Our approach involves the intricate study of the original research, enabling us to adapt and extend the findings to construct a powerful AI-driven system. Our project focuses on unraveling the complexity of musical language and structure, aiming to generate melodies that resonate with human-like creativity and emotion. By leveraging a diverse and extensive dataset and implementing state-of-the-art machine learning techniques, we endeavor to compose melodies that captivate and inspire. MelodyAI AI-Powered Melodies Generation stands as a testament to the transformative potential of machine learning in the realm of artistic innovation. Through this project, we not only aim to craft melodies that touch the soul but also to stimulate a new era of creative collaboration between humans and machines. Keywords: MelodyAI, Music Generation, Artificial Intelligence, Deep Learning Models, Recurrent Neural Networks, Long Short-Term Memory (LSTM), Attention Mechanism.