Reviewerly/exHarmony huggingface dataset:
PENGARUH PENERAPAN MODEL PEMBELAJARAN PROBLEM BASED LEARNING TERHADAP KEMAMPUAN LITERASI MATEMATIS PESERTA DIDIK KELAS VIII

Mathematical literacy is the. ability to apply mathematics in everyday life. Mathematical literacy is an important skill that students must have to solve everyday problems and develop their math skills. In fact, the mathematical literacy of grade VIII students.i of SMP Negeri 25 Padang is still low. Mathematical literacy skills can be improved, for example with the Problem-Based Learning model. The purpose of this study was to find out whether the mathematical literacy abilities of studentsi who were taught using a problem-basedrn learning model were better. than those taught with conventional models in Class VIII SMP Negeri 25 Padang. The nature of this research is descriptive research and quasiexperimental with a non-equivalent control group which is carried out by post-test only. The rnpopulation of this study were studentsi of class VIII SMP Negeri 25 Padang with. samples from class VIII-4 and VIII-7. The. instrumentrn used in this study was a description-based mathematicali literacy test. Keywords – Mathematical literacy ability, Problem Based Learning, Conventional Learning
PENGARUH MODEL PEMBELAJARAN LEARNING CYCLE 7E TERHADAP PEMAHAMAN KONSEP MATEMATIS PESERTA DIDIK KELAS VIII

Understanding mathematical concepts is an important aspect to be achieved through learning mathematics. This study determine whether students' understanding of mathematical concepts in learning with the 7E learning cycle model is better than student learning through direct learning in class VIII of SMPN 4 Bukittinggi. This study used quasi-experimental design with The Nonequivalent Posttest Only Control Group Design. The population of this study were studentts of class VIII SMPN 4 Bukittinggi who were registered in the 2022/2023 academic year. Sampling wass done by random sampling technique. The research instrment was in the form of a final test which was evaluated using a hypothesis test, t test. Based on the analysis of statistical tests, it was concluded that H0 was rejected. This shows that the Learning Cycle 7E learning model influences students' understanding of mathematical concepts. Keywords– Learning Cycle 7E, Mathematical concepts understanding, Direct Learning
PENGEMBANGAN BAHAN AJAR BERBENTUK E-MODUL BERBANTUAN SIGIL SOFTWARE PADA POKOK BAHASAN MATRIKS UNTUK PESERTA DIDIK KELAS XI

E-modules are presentations of material in electronic form with links to each lesson, complete with videos, animations and audio presentations for a learning experience. The purpose of this study is to describe teaching materials in the form of e-modules in a valid and practical manner and to describe the effectiveness of teaching materials in the form of e-modules on learning outcomes. This type of research is development research with the ADDIE model which consists of the stages of analysis, design, development, implementation, and evaluation. The data for this research are needs analysis data, validation data, performance data, and effectiveness data. The survey instruments were the Student Characteristics Questionnaire, Self-Assessment Analysis Questionnaire, Youth Module Validation Matrix Questionnaire, One-to-One Evaluation Interview Questionnaire, and Youth Module Matrix Practice Questionnaire. As a result, we find that the material shape of the modular matrix has very good categorical effect sizes (based on validation by two mathematicians). The material format of Young's Matrix coefficients is research based on the resuIts of surveys and interviews and has great practical relevance. The resuIts of the validity evaluation show that the material in the form of a matrix module can improve student learning outcomes.Keywords – e-module, ADDIE Model, Matrix, sigil software
PENGARUH PENERAPAN MEDIA PEMBELAJARAN INTERAKTIF TERHADAP HASIL BELAJAR MATEMATIKA PESERTA DIDIK KELAS VIII SMP NEGERI 1 X KOTO SINGKARAK

Whether or not the learning objectives of mathematics are achieved can be determined from the outcomes of learning by students. Outcomes of learning are the results shown by students after participating in the process of learning. However, it is still found that the low outcomes of learning by students at SMP Negeri 1 X Koto Singkarak. The research purpose was to describe the outcomes of learning by students in mathematics who used interactive media for learning better than the outcomes of learning by students in mathematics who used learning in conventional. This study uses a type of quasi-experimental research with a non-equivalent post-test only with design of control group. The technique for sampling used technique by purposive sampling with the selected classes being class VIII A and VIII C. The research instrument used was a outcome of learning test in consist of questions in description. The data in research were analyzed using the t test. Through the analysis of data conducted with the t test, obtained a P-value of 0.002 or reject because it is less than the real level α = 0.05. We got conclussion that the outcomes of learning by students in mathematics who use interactive media for learning are better than the outcomes of learning by students in mathematics who use learning in conventional. Keywords–Learning Outcomes, Interactive Learning Media, Linear Equations.
KEMAMPUAN PESERTA DIDIK DALAM MEMBUAT MIND MAPPING PADA PEMBELAJARAN MATEMATIKA

Taking notes are important activities that students need to do while following the mathematics learning process. The notes will be useful to them as relevant guidelines to help complete the task or prepare for the exam. However, many learners do not take notes in mathematics learning. This is due to their lack of awareness of the benefits of notes in learning. One of the tips that can be done to overcome this is to take notes with mind mapping techniques. Mind mapping is a way of recording creatively, effectively and not boringly because in making it students are facilitated to express their thoughts / abilities and imagination to use various newly learned words / terms, symbols / images, and colors, so that the ideas mapped will last a long time in their memory. This is different from ordinary notes that are only in the form of narratives. This research has facilitated class XI mipa students of SMAN 8 Padang to make notes with mind mapping techniques. As a result, the ability to make mathematical mind mapping for students is in the sufficient category. Keywords– Mind Mapping, Mathematics Learning.
Quantum teleportation over optical fibers carrying conventional classical communications traffic

The scalability of quantum networking will benefit from the ability to operate beyond dark fibers. We report the first demonstration of quantum teleportation coexisting with conventional communications, where quantum state transfer is achieved over 10.5 km SMF-28 fiber simultaneously carrying a 400 Gbps classical signal.
The function of the academic tutor in virtual modality postgraduate studies

Worldwide, Higher Education Institutions (HEIs) have incorporated and implemented both in their undergraduate and postgraduate study programs (in-person and virtual), institutional tutoring systems that allow optimizing the academic career of students through processes of personalized accompaniment and improve school performance, terminal efficiency indices, autonomy and development of professional and self-learning skills, the latter are essential in virtual educational programs. Given that tutoring has become a very useful strategy for students, there is a genuine interest in analyzing the functions performed by the academic tutor, specifically in a postgraduate program in virtual mode, to determine if they are in accordance with the demands and requirements. of students, where accompaniment must not only be timely, but also overcome the barriers of space and time. The academic tutor in postgraduate studies in virtual mode must establish a plan that allows specific actions to be carried out in a systematized manner, generating necessary elements for periodic evaluation and subsequent attention to the identified areas of opportunity
Методика застосування інноваційних технологій навчання в диригентсько-хоровій підготовці майбутніх учителів музичного мистецтва

The purpose of the article is to consider the extent to which innovative tech­nologies are in demand in higher education institutions in the context of studying conducting and choral disciplines and to determine their feasibil­ity, effectiveness, usefulness and prospects for use in the training of future choirmasters. The authors determine the necessity and expediency of form­ing an innovative space for a number of disciplines based on the use of achievements of communication technologies. They reveal the effective­ness and efficiency, usefulness and prospects of their use in the process of training choral conductors. The introduction of innovative technologies in educational practice is con­ditioned by the fact that it should serve as a means of solving some urgent problems of a certain University and pass experimental testing for its final implementation. One of the types of innovative technologies in such classes is the use of vir­tual electronic music choral anthology, which is systematized in the form of a table with URL to the music medium, sheet music and text files that are freely available online. Another innovation in the study of the cycle of conducting and choral disciplines is the creation of an intellectual map. This method is appropriate when studying the theory of conducting (its technical component, artistic and expressive, communicative and psychological, man­agerial and organizational). Along with intelligence maps, there are also so-called web quests, which are aimed at expanding the knowledge of concepts and terms related to understanding the specifics of conducting activities. Distance learning encourages teachers of almost all specialties, including conducting and choral specialties, to introduce such a form of work as a webinar. Often in the process of studying conducting and choral disciplines, students undergo so-called socio-psychological training. Practice shows that today the use of some of the latest technologies in the context of studying conducting and choral disciplines in higher education not only stimulates the activity of students in the educational process, but also gives it an innovative appeal. At the same time, they contribute to the creation of a creative atmosphere in the seminar-type classes, provide an opportunity for self-realization of creative potential when students perform independent work, thereby improving the quality of learning material.
Speech and Suicide—The Line of Legality

While physician-assisted suicide legislation is being drafted and passed across the United States, a gray-area continues to exist in regard to the legality of a lay person's assistance with suicide. Several high-profile cases have been covered in the media, namely that of Michelle Carter in Massachusetts and William Melchert-Dinkel in Minnesota, but there is also a growing volume of anonymous pro-suicide materials online. Pro-suicide groups fly under the radar and claim to help those desiring to take their own lives. This paper aims to identify the point at which an individual or group can be held civilly or criminally liable for assisting suicide and discusses how the First Amendment can be used to shield authors from such liability.
Hardware Prototype Development Of a Robotic Car To Avoid Obstacles

The project aims to construct an obstacle-avoiding robotic vehicle equipped with ultrasonic sensors for autonomous navigation. It employs an ATmega328 microcontroller for control. This intelligent robot autonomously detects obstacles in its path using ultrasonic sensors, and the microcontroller redirects its movement accordingly by controlling the motors through a motor driver. Unlike some projects that utilize IR sensors, this one opts for ultrasonic sensors due to compatibility and effectiveness. The work carried out is the second semester mini-project by the students of Electronics &amp; Communication Engineering under the guidance of the faculties.
Dhenu Svasthya Bot: An AI driven well-being and health monitoring setup for science and engineering applications

In this paper, an AI driven well-being and health monitoring set-up for the science &amp; engineering applications is being presented. "Dhenu Svasthya" represents an initiative at the intersection of agriculture, animal welfare, and artificial intelligence. This project's primary mission is to significantly enhance the overall health and living conditions of cattle, with a focus on improving their well-being and productivity. At the core of "Dhenu Svasthya" lies a sophisticated health monitoring system. Utilizing advanced AI ML method this system continuously tracks and analyzes key health indicators in cattle. It observes and records jaw movements, heart rate, acetone levels, bellowing patterns, and body temperature in real-time. The objective is to detect anomalies, deviations, or early signs of distress promptly. This proactive approach enables timely intervention by cattle owners, reducing the likelihood of disease and ensuring the optimal health of the animals. Environmental Cleanliness is another pivotal aspect of the project is the assessment of the cattle's living environment. Maintaining a clean and hygienic space is paramount for the cattle’s well-being. "Dhenu Svasthya" deploys AI technology to evaluate the cleanliness of the surroundings. The system provides actionable insights to users, allowing them to address potential cleanliness issues promptly and maintain a healthier living environment for their cattle. To extend the project's reach and accessibility, we are actively working on integrating "Dhenu Svasthya" with cloud services and other data management platforms. It aims to empower cattle owners and farmers with the information and insights needed for effective cattle management, thereby improving overall livestock welfare. In summary, "Dhenu Svasthya" is an ambitious undertaking that leverages AI to usher in a new era of cattle care. By continuously monitoring health, ensuring environmental cleanliness, and embracing data integration, this project aspires to be a game-changer in the field of livestock management. Its overarching goal is to promote the well-being of cattle, enhance agricultural sustainability, and ultimately benefit both the animals and those who depend on them for their livelihoods. The work carried out is the seventh semester main-project by the students of Electronics &amp; Communication Engineering under the guidance of the faculties supervision (guide).
A Multi-Agent System Model to Advance Artificial General Intelligence based on Piaget’s Theory of Cognitive Development

It is proposed a Multi-Agent System based on Piaget's theory of cognitive development aimed at progressing towards Artificial General Intelligence. Basic elements of Piaget's theory are presented. Also, the notion of will to power is extended to elucidate what tasks must be given to both, the Psychological and Epistemic subjects. By doing so it is modelled a functional organization in which positive reinforcement cycles help acquiring and organizing knowledge. These cycles are coined by us as volition towards intelligence. Next, an object-oriented model and an agent-based system are designed according to the theoretical background presented. Finally, a mathematical analysis on topology is provided to explain the apparent conundrum between the universal cognitive structures and the individual differences in cognition. Conclusions and future research are outlined.
LexAN: Lexical Association Networks

This paper presents Lexical Association Networks (LexAN), which entail the development of a mathematical model comprising a collection of words derived from a textual corpus. The interconnections between word tokens are represented by weighted edges within a non-directed graph structure. The construction process of LexAN involves 6 stages: 1) Lemmatization 2) Multi-word expressions 3) Stopwords removal 4) Co-ocurrence graph 5) Word Co-ocurrence norms, and 6) LexAN construction. We employed a Medical text corpus containing 574,011 words to build our graphs. To assess the efficacy of our LexAN, these graph structures were implemented within a tool designed to address the lexical access problem, specifically functioning as a reverse dictionary. This application resulted in favorable and promising results.
Design of an Automatic Tagging Algorithm for the Development of a Non-Literal Language Corpus in Spanish

The development of corpus in general represents an arduous task due to the analysis and labeling processes, as well as the elements to consider in its development. For its part, the study of literal language and non-literal language in its various literary figures represents an important area of study for Natural Language Processing. The study of this phenomenon in Spanish has been limited by the lack of corpora available for its study as well as the lexical and semantic complexity of the language. In accordance with the above, this project proposes a labeling algorithm for non-literal and literal language, likewise reviews the points to consider regarding design and experimentation and presents results from the CESS-ESP corpus.
Personal Statistics-Based Heart Rate Evaluation Using Interval Type-2 Fuzzy Sets

In today's health-conscious world, patient monitoring is increasingly emphasized both in science and in everyday life. For this reason, personalized, reliable evaluation has been in the focus of science in recent years. In this paper, a fuzzy-based system is presented that can handle blurred boundaries when evaluating physiological values. In order to ensure a personalized evaluation in the model, it takes into account statistics prepared from values measured under identical or nearly identical conditions. The essence of the proposed method is to modify the normal range determined on the basis of medical recommendations by the patient's usual reactions. As a consequence of this modification an even more personalized and realistic result can be generated. This modification is based on the use of interval type-2 fuzzy sets to handle the uncertainty arising from the discrepancy between the doctor's recommendation and the patient's normal reactions.
The contribution of universities to the production of basic scientific knowledge in Russia

Modern Russia inherited the Soviet scientific system, in which the university sector was rather weakly involved in research activities. However, by now the situation has changed significantly. The Russian government has actively stimulated the development of science in universities. It is shown in this article that the contribution of the university sector to the production of scientific knowledge has grown significantly and is already comparable with the contribution of the research sector in a number of indicators. The results of scientific research in both sectors—university and research—are published in journals of a comparable level, and the levels of citation of these publications are also comparable. Note that in economics, psychology and psychiatry, and social sciences, the university sector dominates. In addition, researchers from universities are more involved in international scientific collaboration. However, the sector itself is heterogeneous. Its main scientific achievements are related to the results obtained in leading research universities.
Preface Special Issue: Developments in Earthquake Precursors Studies

This Special Issue of Annals of Geophysics is dedicated to present recent developments in the field of earthquake (EQ) precursors. Due to their potentially catastrophic nature, EQs have early attracted the attention of humans. During the last decades, a considerable amount of scientific effort has been devoted to the study of EQ precursors, aiming at EQ forecast. Prediction of large EQs, especially in the short-term, is of outmost importance for our society, since it could prevent, or at least restrict, their disastrous consequences, both in terms of infrastructure / material damages and in terms of casualties. It is clear that EQ preparation processes are complex and multifaceted, which call for a multidisciplinary approach. Many possible precursors have been reported and studied during the last decades, which include (just to mention some): foreshock activity, pre-slip effect, surface deformation, seismic electric signals (SES), ultra-low frequency (ULF) magnetic field anomalies, fracture-induced electromagnetic emissions (FEME) (fracture-induced electromagnetic radiation, FEMR), ULF/ELF (extremely low frequency) atmospheric electromagnetic radiation, atmospheric anomalies (such as SLHF, OLR etc.) and ionospheric (lower and upper regions) anomalies, lithosphere-atmosphere-ionosphere (LAI) coupling, even abnormal animal behavior.
A model of TEC perturbations possibly related to seismic activity

For application of observed anomalies of the total electron content (TEC) in the ionosphere for short-term earthquake prediction, it is necessary to understand the physical nature of such anomalies during the preparation of a strong seismic event. The physical mechanism of occurrence of such anomalies is considered in order to distinguish the TEC disturbance of a seismic origin and to clear the processes in the lithosphere resulted in an appearance of the TEC anomaly in the ionosphere. It is supposed that the observed TEC anomalies arise as a result of occurrence of additional electric field in the ionosphere demonstrated by numerous satellite data before the impending earthquakes. At the same time, an injection of charged aerosols into the atmosphere in the epicentral earthquake area was detected. As a result, an electromotive force arises in the surface layer of the atmosphere, which initiates a perturbation of the electric current in the global circuit and the electric field appearance in the ionosphere. We have shown that the TEC disturbance arises as a result of the heating of the ionosphere by electric current and the plasma drift in the electric field of this current. The spatial distribution of TEC arises as a result of the combined action of these two factors, and its nature depends on the relationship between them. Based on the developed model the numerical study of the spatial distribution of TEC in the ionosphere is possible for a given horizontal distribution of the concentration of charged aerosols in the atmosphere near the Earth’s surface.
Earthquake forecast by imbalance machine learning using geophysical predictors

In the present paper we consider the earthquake forecast as a binary problem of machine learning on the imbalanced data base applied to five regions of Georgia. For the training we used geophysical data base collected in 2017-2021, namely, variations of statistical characteristics of geomagnetic field components, seismic activity, water level in deep boreholes and tides. In this version a new predictor – the weighted seismic activity for previous 5 days - – is added compared to the predictors’ list used in previous papers. Besides, the length of the used database is increased 3 times compared to the earlier results. As in the database the earthquakes of M &gt; 3.5 are rare, the number of negative cases is large (there are many days without EQs of M &gt; 3.5), meaning that there is a strong imbalance between positive and negative cases of the order of 1:20; we apply the specific methodology Matthews’ correlation coefficient (MCC) and F1 score to avoid the strong imbalance effect.