Reviewerly/exHarmony huggingface dataset:
The potential of e-books to improve college students’ self-directed learning in biology

Independence in learning is very necessary for the application of online learning. Students as learners must have Self Directed Learning. This study aims to develop independent learning resources to facilitate student learning independence. Development research using the ADDIE model is carried out until the development stage. Needs analysis is conducted on 49 Biology Education Students with data collection instruments using the SDL test consisting of 5 question indicators: 1) Identifying learning needs; 2) Set up study routines and discover concept mappings; 3) Using concept/outline mapping as a useful understanding various information; 4) Self-assessment, honing potential; 5) Can explore self-ability. The test results show that in indicator 1 there are 9 students (18.37%) and indicator 5 as many as 11 students (22.45%) who have SDL abilities. The results of the needs analysis become the basis for the development of interactive electronic books through features such as material summaries, images, animations, videos, references (links and barcodes), interactive exercises, keywords, interest facts, practice questions, formative tests, and reflections. It is hoped that this interactive e-book can increase the independence of undergraduate and PPG students in studying biotechnology material as a source of independent learning.Abstrak Kemandirian belajar sangat diperlukan dalam penerapan pembelajaran daring. Mahasiswa sebagai pembelajar harus memiliki kemandirian belajar (Self Directed Learning/SDL). Penelitian ini bertujuan untuk mengembangkan sumber belajar mandiri untuk memfasilitasi kemandirian belajar mahasiswa. Penelitian pengembangan menggunakan model ADDIE penelitian ini dilakukan sampai tahap development. Analisis kebutuhan, dilakukan pada 49 orang Mahasiswa Pendidikan Biologi dengan instrumen pengumpulan data menggunakan tes SDL terdiri dari 5 indikator pertanyaan: 1) Mengidentifikasi kebutuhan belajar; 2) Mengatur rutinitas belajar dan menemukan pemetaan konsep; 3) Menggunakan pemetaan konsep/garis besar sebagai metode yang berguna untuk memahami berbagai informasi; 4) Menilai sendiri, merefleksikan dan mengasah potensi; 5) Bisa mengeksplor kemampuan diri. Hasil tes menunjukkan pada indikator 1 sebanyak 9 orang (18,37%) dan 5 sebanyak 11 orang (22,45%) yang memiliki kemampuan SDL. Hasil analisis kebutuhan menjadi dasar untuk pengembangan buku elektronik interaktif melalui fitur-fitur barupa ringkasan materi, gambar, animasi, video, referensi (link dan barcode), latihan interaktif, key word, interesring fact, latihan soal, tes formatif dan refleksi. Diharapkan e-book interaktif ini dapat meningkatkan kemandirian mahasiswa S1 dan PPG dalam mempelajari materi bioteknologi sebagai sumber belajar mandiri.
Efficient Mean-Field Simulation of Quantum Circuits Inspired by Density Functional Theory

Exact simulations of quantum circuits (QCs) are currently limited to ∼50 qubits because the memory and computational cost required to store the QC wave function scale exponentially with qubit number. Therefore, developing efficient schemes for approximate QC simulations is a current research focus. Here, we show simulations of QCs with a method inspired by density functional theory (DFT), a widely used approach for studying many-electron systems. Our calculations can predict marginal single-qubit probabilities (SQPs) with over 90% accuracy in several classes of QCs with universal gate sets, using memory and computational resources linear in qubit number despite the formal exponential cost of the SQPs. This is achieved by developing a mean-field description of QCs and formulating optimal single- and two-qubit gate functionals─analogues of exchange-correlation functionals in DFT─to evolve the SQPs without computing the QC wave function. Current limitations and future extensions of this formalism are discussed.
On the estimation of periodic signals in the diffusion process using a high-frequency scheme

Abstract The estimation of the frequency component is very interesting to study, considering its unique nature when these parameters are together in their amplitude. The periodicity of the frequency components is also thought to affect the convergence of these parameters. In this paper, we consider the problem of estimating the frequency component of a periodic continuous-time sinusoidal signal. Under the high-frequency sampling setting, we provide the frequency components’ consistency and asymptotic normality. It is observed that the convergence rate of the continuous-time sinusoidal signal of the diffusion process is the same as the continuous-time sinusoidal signal of the Ornstein–Uhlenbeck process, which is mentioned in [G. Pramesti, Parameter least-squares estimation for time-inhomogeneous Ornstein–Uhlenbeck process, Monte Carlo Methods Appl. 29 (2023), 1, 1–32]. The result of this study deduces that the convergence rate of the frequency is the same as long as the signal is periodic. In this case, the existence of the rate of reversion does not affect the convergence rate of the frequency components. Further, the result of the study, that is, the convergence rate of the frequency is <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msqrt> <m:msup> <m:mrow> <m:mo stretchy="false">(</m:mo> <m:mrow> <m:mi>n</m:mi> <m:mo>⁢</m:mo> <m:mi>h</m:mi> </m:mrow> <m:mo stretchy="false">)</m:mo> </m:mrow> <m:mn>3</m:mn> </m:msup> </m:msqrt> </m:math> \sqrt{(nh)^{3}} , also revised the previous one in [G. Pramesti, The least-squares estimator of sinusoidal signal of diffusion process for discrete observations, J. Math. Comput. Sci. 11 (2021), 5, 6433–6443], which mentioned <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msqrt> <m:mrow> <m:msup> <m:mrow> <m:mo stretchy="false">(</m:mo> <m:mrow> <m:mi>n</m:mi> <m:mo>⁢</m:mo> <m:mi>h</m:mi> </m:mrow> <m:mo stretchy="false">)</m:mo> </m:mrow> <m:mn>3</m:mn> </m:msup> <m:mo>⁢</m:mo> <m:mi>h</m:mi> </m:mrow> </m:msqrt> </m:math> \sqrt{(nh)^{3}h} . The proposed approach is demonstrated with a ten-minute sampling rate of real data on the energy consumption of light fixtures in one Belgium household.
Mosquito Detection and Classification Using Machine Learning Algorithms

Accurate assessment of mosquito population density is crucial for the efficient management of mosquito-borne diseases such as malaria and dengue in areas affected by these vectors. Nevertheless, the traditional approach of manually counting and classifying mosquitoes through the use of traps is both laborious and expensive. This research paper presents a proposed pipeline for the identification and categorization of mosquitoes from photographs, specifically designed for low-cost Internet of Things (IoT) sensors. The pipeline aims to achieve a balance between accuracy and efficiency. Through the process of fine- tuning conventional machine learning models such as VGG16, RESNET50, and Convolutional Neural Network (CNN), a notable level of accuracy of 98% is attained. The present study highlights the potential of integrating a highly effective mosquito detection device with a convolutional neural network to offer a viable balance between precision and efficiency in the realm of mosquito identification, categorization, and quantification. Consequently, this approach has promise for improving the control and prevention of mosquito-borne illnesses.
FORMATION OF SOCIAL-EMOTIONAL SKILLS IN THE STUDENT YOUTH

The article is devoted to the issue of formation of social-emotional skills in the context of the development of emotional intelligence of students in a modern school. The significance of introduction of elements of socio-emotional and ethical education during the acquisition of academic knowledge of students is substantiated. It is worth noting that this fall of 2023, 75 educational institutions, namely 3,000 students aged 15 years, will participate in a large-scale survey of the study of social and emotional skills (SES) and will join the 15 countries that have been implementing SES in educational institutions since 2022. The purpose of the article is the theoretical justification of the organizational and content conditions for the development of social-emotional competences among schoolchildren, to provide recommendations for the implementation of social-emotional education for schoolchildren. To use the studied tasks, theoretical research methods were used, namely, the analysis of psychological-pedagogical, sociological sources, synthesis, generalization, systematization. Social-emotional learning (SEL) has become an object of research quite recently, but has received active attention due to its relevance for example, SEL researcher Brendan Ozawa de Silva conducted an analysis of the implementation of this component of education and noted that SEL helps to reduce antisocial behavior by 10%, respectively, prosocial behavior increased by the same amount, academic knowledge of students increased by 11%, which makes it possible to positively evaluate the implementation of SEL in educational process. The article highlights the scientific novelty of the research, namely, the socio-psychological conditions for the formation of social-emotional skills of schoolchildren are substantiated; the content, structure, dimensions and levels of formation of social-emotional skills of schoolchildren are clarified. The article contains a list of valuable skills of student youth that positively contribute to the formation of social-emotional competencies.
DIGITAL COMPETENCE OF FOREIGN LANGUAGE TEACHERS OF HIGHER EDUCATION INSTITUTIONS

This article addresses the l issue of digital competence of foreign language teachers of higher educational institutions. Digital competence plays an important role in the successful teaching and learning of foreign languages. The study presents findings on the digital competence of foreign language teachers before the COVID-19 pandemic and examines how crisis-induced changes have influenced their professional development. The research explores various aspects of digital competence among foreign language teachers, including knowledge of computer programs, application of Internet resources, integration of multimedia tools in the educational process, and effective use of digital tools for evaluation and student collaboration. The authors also research the existing training programs for teachers on digital technologies and suggest methods for organizing effective training courses on digital competence for foreign language educators. The article highlights the challenges encountered by teachers when incorporating digital tools into their work, such as limited resources, apprehension towards new technologies, and restricted access to educational platforms. Conclusions are drawn on the significance of digital competence for foreign language teachers and its impact on students’ foreign language proficiency, motivation, and engagement in the educational process. In conclusion, the article emphasizes the importance of continuous professional development for foreign language teachers in the realm of digital competence. It also underscores the necessity of creating a supportive environment that encourages the seamless integration of digital technologies in higher education institutions. Overall, the article contributes to the study of digital competence of foreign language teachers and the integration of digital tools into higher education.
FOREIGN EXPERIENCE OF TEACHING STAFF QUALIFICATION IMPROVING

The article is devoted to the problem of training teaching staff in the USA. It is noted that today in the USA considerable attention is paid not only to the training of teaching staff, but also to the improvement of their qualifications in the postgraduate education system. The purpose of the article is to reveal the features of professional development of teaching staff in the US postgraduate education system. Research methods: study of American scientific literature, analysis, systematization, concretization, generalization of the obtained data. Improving the qualifications of teaching staff is coordinated by the relevant bodies of the country. Thus, the Ministry of Education is a state body responsible for the implementation of government policy in the country on a wide range of issues in the field of education. Its composition, along with other subdivisions, includes: the National Center for Education Statistics, the National Council of Pedagogical Research, the National Institute of Education, the Department of Education, the Fund for the Improvement of Higher Education, the Bureau of Professional Development of Pedagogical Personnel. The main unit dealing with issues of retraining and professional development of teaching personnel in the USA is the Bureau of Professional Development of Pedagogical Personnel. The Bureau is headed by a chairman appointed by the Minister of Education of the country, usually from among specialists in the field of higher education who have an impeccable reputation and extensive experience of practical work in this field. In addition to the Ministry of Education and the Bureau of Professional Development, which reports to it, there are other federal state and public institutions that deal with problems of professional development, but they are not subordinate to the Ministry of Education. The study of scientific sources makes it possible to formulate the main principles on which the system of improving the qualifications of teachers in the USA is built today and will, according to the leaders of educational policy, be built in the future: continuity; focus on the variety of forms and technologies of professional development and personal development; participation of various categories of teaching staff in determining policy in the field of professional development; unification of all parties interested in the professionalism of teachers; recognizing the priority of education and increasing the prestige of the teaching profession in society; relationship between the system of professional development and the system of pedagogical education; focus on the optimal combination of special subject knowledge with professional and pedagogical knowledge and skills; professionalism, competence; focus on the use of research methods for improving the qualifications of teachers, on the development of their creative potential and initiative.
USING INFORMATION TECHNOLOGIES IN THE EDUCATIONAL PROCESS

With the beginning of a full-scale invasion, the issue of the need to use digital technologies in educational processes became more acute. Ukrainian students who are forced to stay abroad due to the war will be able to: get an education according to educational programs of the Ministry of Education and Culture, receive psychological and emotional support, etc. for free.The purpose of the article: to reveal the possibilities of using IT in the educational process. Methods of research: theoretical: analysis of scientific sources, pedagogical experience to determine the advantages and limitations of using information technologies in the educational process, systematization, generalization; empirical: observations. Thus, it is possible to analyze the advantages and limitations of using the latest technologies in the educational process. In addition, the research will help determine new approaches to the organization of education and make a forecast for the future development of education in the conditions of constant technological dynamics. The development of computer programs and platforms provides the opportunity to communicate freely, use various multimedia technologies, distance courses and online resources. The use of information technologies allows to improve and optimize processes in these areas, to ensure more efficient work and quality of services. However, the use of information technology can also have disadvantages, such as the possibility of leakage of confidential information, technical problems that may arise as a result of incorrect application and insufficient security. Thus, knowledge about technology and its impact on the educational process will allow teachers and students to use new ways and methods of learning to bring its quality to new heights. However, when using these technologies, it is necessary to follow all safety rules and use them in a stable and effective way to achieve optimal results.
CONTENT AND TECHNOLOGICAL SUPPORT OF THE PROCESS OF FORMING THE COMPETITIVENESS OF FUTURE TEACHERS OF MATHEMATICS

The competitiveness of a teacher is an indicator of successful professional activity, the ability to be in demand due to a number of personal and professional qualities that determine a high level of expertise in the educational field. The effectiveness of forming the competitiveness of the future mathematics teacher will be higher under the condition of purposeful, systematic training in higher education, in particular, through the implementation of appropriate content and technological support. The purpose of the article is to characterize the content, forms, methods and technologies of the process of forming the competitiveness of future mathematics teachers. Research methods – analysis of scientific literature, systematization (to clarify the key concepts of research), implementation of research results in practice, observation, generalization (for the purpose of forming author's conclusions). It has been established that the formation of the competitiveness of future mathematics teachers occurs through the implementation of the system model of competitiveness formation in the process of scientific research activities and pedagogical conditions that ensure its effectiveness (using the potential of humanitarian disciplines in the process of forming the competitiveness of future mathematics teachers; organizing positive competition among students in the process of scientific research activities; motivational and stimulating support for the development of competitiveness of future mathematics teachers through the use of a set of pedagogical incentives; ensuring social partnership of subjects of educational activity in the process of developing the competitiveness of future mathematics teachers). The environment of scientific research activity contains three components: educational, practical-professional and research-innovative. The educational component provides for the formation of the competitiveness of future teachers during classroom training (through the use of a number of technologies, forms and methods - games, problems, cases, discussions, portfolios, the preparation of scientific papers, the performance of socio-pedagogical research) and extracurricular work (meetings with leading teachers, researchers, excursions). The practical-professional component involves the research orientation of student practices - propaedeutic and pedagogical. The research and innovation component enables the work of the students in scientific circles, student scientific society, conferences, competitions of scientific works, Olympiads, academic mobility, grants, and the implementation of socio-pedagogical research.
Complexity of The Systems of Linear Restrictions over a Finite Field

This paper continues the results obtained in [1]. In the previous paper, we formulated the problem of the unknown vector recovering from linear dependencies with this vector, which act as constraints on it. The next step, after finding out some algebraic and combinatorial properties, is to give basic estimates of complexity for the main problem as well as for related problems. Such related problems can be obtained by fixing some parameters of the main problem or applying constraints on the number of restrictions in the system. Such an analysis makes possible to arrange the problem of recovering an unknown vector based on partial information into the general computational complexity framework in order to approach existing theoretical results to its solution. The obtained theoretical results can be used in algebraic cryptanalysis of stream ciphers and cryptosystems based on linear codes.
Investigation of computational intelligence methods in forecasting at financial markets

The work considers intelligent methods for solving the problem of short- and middle-term forecasting in the financial sphere. LSTM DL networks, GMDH, and hybrid GMDH-neo-fuzzy networks were studied. Neo-fuzzy neurons were chosen as nodes of the hybrid network, which allows to reduce computational costs. The optimal network parameters were found. The synthesis of the optimal structure of hybrid networks was performed. Experimental studies of LSTM, GMDH, and hybrid GMDH-neo-fuzzy networks with optimal parameters for short- and middle-term forecasting have been conducted. The accuracy of the obtained experimental predictions is compared. The forecasting intervals for which the application of the researched artificial intelligence methods is the most expedient have been determined.
Identification of lung disease types using convolutional neural network and VGG-16 architecture

Pneumonia, tuberculosis, and Covid-19 are different lung diseases but have similar characteristics. One of the reasons for the worsening of disease in lung sufferers is a diagnosis that takes a long time. Another factor, the results of the X-ray photos look blurry and lack contracture, causing different diagnostic results of X-ray photos. This research classifies lung images into four categories: normal lungs, tuberculosis, pneumonia, and Covid-19 using the Convolutional Neural Network method and VGG-16 architecture. The results of the research with models and scenarios without pre-trained use data with a ratio of 9:1 at epoch 50, an accuracy of 94%, while the lowest results are in scenarios using data with a ratio of 8:2 at epoch 50, non-pre-trained models, accuracy by 87%.
Augmented security scheme for shared dynamic data with efficient lightweight elliptic curve cryptography

Technology for Cloud Computing (CC) has advanced, so Cloud Computing creates a variety of cloud services. Users may receive storage space from the provider as Cloud storage services are quite practical; many users and businesses save their data in cloud storage. Data confidentiality becomes a larger risk for service providers when more information is outsourced to Cloud storage. Hence in this work, a Ciphertext and Elliptic Curve Cryptography (ECC) with Identity-based encryption (CP-IBE) approaches are used in the cloud environment to ensure data security for a healthcare environment. The revocation problem becomes complicated since characteristics are used to create cipher texts and secret keys; therefore, a User revocation algorithm is introduced for which a secret token key is uniquely produced for each level ensuring security. The initial operation, including signature, public audits, and dynamic data, are sensible to Sybil attacks; hence, to overcome that, a Sybil Attack Check Algorithm is introduced, effectively securing the system. Moreover, the conditions for public auditing using shared data and providing typical strategies, including the analytical function, security, and performance conditions, are analyzed in terms of accuracy, sensitivity, and similarity.