bluuebunny/crossref_metadata_2025 huggingface dataset:
SOI nanodevices and materials for CMOS ULSI
Authors: Balestra Francis
Published: April 2024

A review of recently explored new effects in SOI nanodevices and materials is given. Recent advances in the understanding of the sensitivity of electron and hole transport to the tensile or compressive uniaxial and biaxial strains in thin film SOI are presented. The performance and physical mechanisms are also addressed in multi-gate Si, SiGe and Ge MOSFETs. The impact of gate misalignment or underlap, as well as the use of the back gate for charge storage in double-gate nanodevices and of capacitorless DRAMare also outlined.
Development of 3C-SiC MOSFETs
Authors: Bakowski Mietek , Schöner Adolf , Ericsson Per , Strömberg Helena , Nagasawa Hiroyuki , Abe Masayuki
Published: April 2024

The paper reviews the development of the 3C-SiC MOSFETs in a unique development project combining the material and device expertise of HAST (Hoya Advanced Semiconductor Technologies) and Acreo, respectively. The motivation for the development of the 3C-SiC MOSFETs and the summary of the results from the lateral and vertical devices with varying size from single cell to 3×3 mm2 large devices are reviewed. The vertical devices had hexagonal and square unit cell designs with 2 μm and 4 μm channel length. The p-body was aluminum implanted and the source was nitrogen or phosphorus implanted. Low temperature Ti/W contacts were evaluated.
Properties and benefits of fluorine in silicon and silicon-germanium devices
Authors: Ashbur Peter , A. W. El Mubarek Huda
Published: April 2024

This paper reviews the behaviour of fluorine in silicon and silicon-germanium devices. Fluorine is shown to have many beneficial effects in polysilicon emitter bipolar transistors, including higher values of gain, lower emitter resistance, lower 1/f noise and more ideal base characteristics. These results are explained by passivation of trapping states at the polysilicon/silicon interface and accelerated break-up of the interfacial oxide layer. Fluorine is also shown to be extremely effective at suppressing the diffusion of boron, completely suppressing boron transient enhanced diffusion and significantly reducing boron thermal diffusion. The boron thermal diffusion suppression correlates with the appearance of a fluorine peak on the SIMS profile at approximately half the projected range of the fluorine implant, which is attributed to vacancy- fluorine clusters. When applied to bipolar technology, fluorine implantation leads to a record fT of 110 GHz in a silicon bipolar transistor.
Simple method for characterization of photonic crystal fibers
Authors: Szustakowski Mieczysław , Pałka Norbert , Grabiec Waldemar
Published: April 2024

We report on our experimental characterization of index-guiding photonic crystal fibers (PCF) from their far field intensity distribution. The algorithm presented below makes it possible to determine the geometrical parameters of the PCF (core diameter, air hole spacing and air hole diameter) from its far field pattern. We obtained good agreement with the manufacturer’s data for all fibers tested.
Comparison of composition of ultra-thin silicon oxynitride layers’ fabricated by PECVD and ultrashallow rf plasma ion implantation
Authors: Mroczyński Robert , Bieniek Tomasz , B. Beck Romuald , Ćwil Michał , Konarski Piotr , Hoffmann Patrick , Schmeißer Dieter
Published: April 2024

In this paper differences in chemical composition of ultra-thin silicon oxynitride layers fabricated in planar rf plasma reactor are studied. The ultra-thin dielectric layers were obtained in the same reactor by two different methods: ultrashallow nitrogen implantation followed by plasma oxidation and plasma enhanced chemical vapour deposition (PECVD). Chemical composition of silicon oxynitride layers was investigated by means of X-ray photoelectron spectroscopy (XPS) and secondary ion mass spectrometry (SIMS). The spectroscopic ellipsometry was used to determine both the thickness and refractive index of the obtained layers. The XPS measurements show considerable differences between the composition of the fabricated layers using each of the above mentioned methods. The SIMS analysis confirms XPS results and indicates differences in nitrogen distribution.
Determining hop-constrained spanning trees with repetitive heuristics
Authors: Fernandes Manuela , Gouveia Luis , Voß Stefan
Published: April 2024

The hop-constrained minimum spanning tree problem is the problem of determining a rooted spanning tree of minimum cost in which each path from the root node to any other node contains at most H hops or edges. This problem relates to the design of centralized tree networks with quality of service requirements (in telecommunications) and has a close relation with other tree problems. In this paper we investigate the adaptation of some well-known "repetitive" heuristics used for the capacitated minimum spanning tree problem to the hop-constrained minimum spanning tree problem and investigate some simple look ahead mechanisms for enhancing the quality of a savings heuristic. Computational results for a set of benchmark tests with up to 80 nodes are presented.
A general framework of agent-based simulation for analyzing behavior of players in games
Authors: Nishizaki Ichiro
Published: April 2024

In this paper, we give a general framework of agent-based simulation for analyzing behavior of players in various types of games. In our simulation model, artificial adaptive agents have a mechanism of decision making and learning based on neural networks and genetic algorithms. The synaptic weights and thresholds characterizing the neural network of an artificial agent are revised in order that the artificial agent obtains larger payoffs through a genetic algorithm. The proposed framework is illustrated with two examples, and, by giving some simulation result, we demonstrate availability of the simulation analysis by the proposed framework of agent-based simulation, from which a wide variety of simulation settings can be easily implemented and detailed data and statistics are obtained.
Artificial adaptive agent model characterized by learning and fairness in the ultimatum games
Authors: Hayashida Tomohiro , Nishizaki Ichiro , Katagiri Hideki
Published: April 2024

This paper examines the result of the experimental research on the ultimatum games through simulation analysis. To do so, we develop agent-based simulation system imitating the behavior of human subjects in the laboratory experiment by implementing a learning mechanism involving a concept of fairness. In our agent-based simulation system, mechanisms of decision making and learning are constructed on the basis of neural networks and genetic algorithms.
Possibility for the application of publications analysis to evaluation of research institutes
Authors: Kobayashi Toshiya , Ogata Saburo
Published: April 2024

This study looks at the possibility of using publications analysis, which has been used by companies as a basic survey method for formulating publications strategies, as a quantitative index for evaluating researches conducted by national universities. The study also describes the reality of public outreach toward Japanese society, being carried out by research institutes such as universities, through publications analysis.
Uniqueness and Reproducibility of Traffic Signatures
Authors: Oida Kazumasa
Published: April 2024

Usable user authentication is an important research topic. The traffic signature-based approach is a new authentication technology that identifies the devices used by online users based on traffic signatures, where the traffic signature is a statistic of the video stream delivered by the authentication server to the user device. This approach has two advantages. First, users need not do any operations regarding the device identification. Second, users need not be sensitive to the privacy loss and computer theft. In this paper, an author evaluates the uniqueness and reproducibility of the signature by introducing a function that quantifies the distance between two signatures. Through number of experiments is demonstrated that the process interference approach has the advantage of generating new signatures that are sufficiently distinguishable from one another.
Lorentzian Operator for Angular Source Localization with Large Array
Authors: Safi Said , Frikel Miloud
Published: April 2024

Source localization problem consists of an ensemble of techniques that are used to obtain spatial information of present radiation in given medium of propagation, with a constraint of the antenna geometry and the characteristics of radiating sources. This condition gives multitude of cases to study, hence several methods were proposed in the literature. In this paper, a new algorithm for estimating the Direction of Arrival (DoA) of narrowband and far field punctual sources is introduced. By exploiting the spectrum of covariance matrix of received data, the Lorentzian function on spectral matrix to filter the eigenvalues is applied. This filtering process eliminates the eigenvalues belonging to signal subspace. Parameters of Lorentz function are adjusted using first and second statistics of eigenvalues. The algorithm requires the knowledge of minimum eigenvalue and is performing when the dimension of antenna is relatively large which is confirmed by several Monte Carlo simulations.
Estimation of Network Disordering Effects by In-depth Analysis of the Resequencing Buffer Contents in Steady-state
Authors: Pechinkin Alexander , Razumchik Rostislav
Published: April 2024

The paper is devoted to the analytic analysis of resequencing issue, which is common in packet networks, using queueing-theoretic approach. The authors propose the mathematical model, which describes the simplest setting of packet resequencing, but which allows one to make the first step in the in-depth-analysis of the queues dynamics in the resequencing buffer. Specifically consideration is given to N-server queueing system (N > 3) with single infinite capacity buffer and resequencing, which may serve as a model of packet reordering in packet networks. Customers arrive at the system according to Poisson flow, occupy one place in the buffer and receive service from one of the servers, which is exponentially distributed with the same parameter. The order of customers upon arrival has to be preserved upon departure. Customers, which violated the order are kept in resequencing buffer which also has infinite capacity. It is shown that the resequencing buffer can be considered as consisting of n, 1 ≤ n ≤ N −1, interconnected queues, depending on the number of busy servers, with i-th queue containing customers, which have to wait for i service completions before they can leave the system. Recursive algorithm for computation of the joint stationary distribution of the number of customers in the buffer and servers, and each queue in resequencing buffer are being obtained. Numerical examples, which show the dynamics of the characteristics of the queues in resequencing buffer are given.
Server Workload Model Identification: Monitoring and Control Tools for Linux
Authors: Karpowicz Michał , Arabas Piotr
Published: April 2024

Server power control in data centers is a coordinated process carefully designed to reach multiple data center management objectives. The main objectives include avoiding power capacity overloads and system overheating, as well as fulfilling service-level agreements (SLAs). In addition to the primary goals, server control process aims to maximize various energy efficiency metrics subject to reliability constraints. Monitoring of data center performance is fundamental for its efficient management. In order to keep track of how well the computing tasks are processed, cluster control systems need to collect accurate measurements of activities of cluster components. This paper presents a brief overview of performance and power consumption monitoring tools available in the Linux systems.
Network Function Virtualization: Mitigating the Impact of VoLTE on the Policy and the Charging System
Authors: Jouihri Youness , Guennoun Zouhair , Chagh Youssef , Zahi Driss
Published: April 2024

Needless to say that telecommunications’ operators are showing increasing interests toward solving the dilemma of optimizing network resources while offering state-of-the-art quality of service. Recently, operators have shown an increasing interest to investigate solutions for better control on network utilization, service usage and monetization. They also noticed a significant growth in Diameter signaling and more specifically in signaling related to policy management. A massive introduction of Voice over LTE (VoLTE) service will have a significant impact on the systems handling policy signaling, as VoLTE will reshape the landscape of Long Term Evolution (LTE) policies and completely change the way policy management works. However, this massive approach is meant to provide significant competitive advantages for operators offering LTE services and still require circuit-switched network to provide voice service. The biggest challenge for those operators is to find an appropriate solution, scalable enough to handle the unpredictable growth of Diameter signaling. In this paper, a model, based on Network Function Virtualization (NFV) technology is proposed, able to address the challenges of massively introducing VoLTE, without impacting existing services and without jeopardizing current revenues. In presented approach, the standard VoLTE call flows, referenced user’s behavior and latest experiments’ results on NFV technology are used.
Antenna Arrays Focused on Broadband Signals
Authors: Vedenkin Denis Andreevich , Sedelnikov Yuri Evgenevich , Nasybullin Aydar Revkatovich
Published: April 2024

Broadband and ultra-wideband signals are increasingly used in modern radio systems. Traditional performance of evaluation antennas operating with narrowband signals are not always adequately reflect the characteristics of broadband antennas, at least in view of the frequency dependence of the antenna pattern. Accounting for broadband signals the antennas becomes important in the low-frequency range of the spectrum. Systems using these types of signals may include control of the atmosphere and measuring its frequency-selective properties in the range meter and decameter wavelengths. Possibility of spatial selection based on focusing of broadband signals in this case promises to implement a number of additional features. Therefore, it is important to evaluate the properties of antennas based on the spectral content of the signal, as well as taking into account the ways of its processing in the receiving equipment. Consideration features of functioning the antenna array, focused on broadband signal is devoted to this article.
Implementation of Standardized Cooperation Environment for Intelligent Transport Systems
Authors: Kowalewski Marian , Pękalski Andrzej
Published: April 2024

Many of Intelligent Transport Systems (ITS) solutions are using components that dynamically change in time and space. Among these, there occur changes of location, movement parameters, components configuration, external environment influence, automation use, etc. Standard facilities in ITS communication model are useful base for implementation of the services in such variable environment. Such features have an influence on the implementation of the services and requirements for the lower communication layers.
Development and Evaluation of The Implementation of a Preceptorship Program for The Novice ICU Nurse Intensive Care Unit -A Secondary Publication
Authors: Perron Annie , Champagne Manon , El-Haouly Abir
Published: April 2024

This study focused on the development and evaluation of the implementation of a preceptorship program adapted to ICU practice in the Ab.-T. region to provide preceptors with tools to support novice nurses. This action research was made possible with the involvement of the centers, preceptors, and novice nurses throughout the development and implementation of the program. This approach enabled participants to take ownership of the training content and fully utilize various tools. The program was implemented throughout the CISSS, where this study was subsequently carried out. Several novices mentioned that the program reinforced their sense of security and made them feel more equipped to handle complex care situations. The preceptors said they were better equipped to offer clinical support and novices were better prepared to work in the ICU. It is important to evaluate the development of the novice nurses’ skills following their participation in this program and the long-term impact of this preceptorship.
Research on X-by-Wire Chassis Technology for Intelligent Driving of New Energy Vehicles
Authors: Xiao Honghong
Published: April 2024

As China’s economy develops, new energy technologies and intelligent driving have become a trend in the automobile industry. The development of new energy vehicles has accelerated, with X-by-wire chassis technology becoming the core technology for intelligent driving. This technology includes steer-, brake-, shift-, and throttle-by-wire systems. It is not only the key technology for new energy vehicles but also an important support for promoting their sustainable development. This article presents an in-depth study on X-by-wire chassis technology in new energy vehicles and its basic working principle.
Inteligencia artificial en el contexto de la formación docente
Authors: Pinargote Castro Michael Antonio , Solorzano Ortega Cecibel Verónica , Ruilova Alvarado Ninoska Alexandra , Bulgarín Sánchez Rosa María
Published: April 2024

La nueva sociedad de la información presenta grandes retos que, a su vez, demandan de las instituciones educativas severos cambios en sus cánones de formación. La inteligencia artificial (IA) ofrece una gran variedad de beneficios en la educación. Sin embargo, también presenta una serie de retos. A nivel superior principalmente, existe la urgente necesidad de planificación, diseño, desarrollo e implementación de competencias digitales, con el propósito de formar y egresar mejores profesionales, que sean capaces competir en entornos tecnológicos. En este sentido, el uso de la IA en las universidades representa un papel fundamental. No obstante, uno de los principales desafíos a los que se enfrentan las universidades es la formación docente en esta área. En consecuencia, la presente investigación pretende plasmar, de manera general, el impacto de la IA en el contexto de la formación docente para su debida aplicación en la educación superior. El enfoque metodológico de la investigación es una revisión bibliográfico – documental. Entre los principales beneficios que ofrece la IA a las universidades se encuentran el análisis de grandes cantidades de datos que permite mejorar los procesos administrativos y pedagógicos, la personalización de la enseñanza y la automatización de procesos docentes tales como las evaluaciones. Asimismo, existen retos como la infraestructura necesaria para operar, la privacidad de los datos y, uno de los principales, la formación docente para aplicar adecuadamente la IA en los procesos de enseñanza – aprendizaje. En la actualidad, organizaciones internacionales y nacionales en la materia, se han abocado a tocar este tema fundamental para la integración de la IA en los procesos educativos. En este sentido, se encuentran a disposición una serie de documentos orientados a la formación docente en IA. Igualmente, muchas instituciones de educación superior han diseñado cursos o programas de capacitación en esta área.
Envejecimiento humano: un análisis integral desde la perspectiva de la medicina interna
Authors: Cárdenas Alvear Miguel Eduardo , Rodríguez Plaza Gabriela Rosa , Yánez Tobar Juan Carlos , Iturralde Avilés Manuel Eduardo
Published: April 2024

El envejecimiento, un proceso biológico inevitable que afecta a todos los seres vivos, ha sido objeto de fascinación a lo largo de la historia. Este fenómeno implica cambios a nivel celular, molecular y sistémico, contribuyendo a la pérdida gradual de funciones y la vulnerabilidad a enfermedades. Diversas teorías, como la del Daño Celular, la Programación Genética, la Inflamación Crónica y la Telomerasa, buscan explicar los mecanismos subyacentes al envejecimiento. La investigación actual en el campo del envejecimiento se centra en estrategias para comprender y contrarrestar este proceso. Se exploran tratamientos antiaging, como la Terapia de Reemplazo Hormonal, terapias contra la senescencia celular, intervenciones dietéticas y calóricas, así como avances en la Ingeniería Genética. Estos enfoques buscan mejorar la calidad de vida en la vejez y prolongar la longevidad de manera saludable, aunque la manipulación genética plantea desafíos éticos y científicos. En resumen, el envejecimiento, influenciado por factores genéticos, ambientales y moleculares, sigue siendo un fenómeno complejo con perspectivas prometedoras para intervenciones futuras.
El uso de la inteligencia artificial en la creación de entornos de aprendizaje inmersivos en la educación superior. Revisión sistemática
Authors: Cárdenas Benavides Juan Pablo , Carvajal Chavez Carlos Arturo , Tomalá de la Cruz Angélica del Rocio , Tovar Arcos Ángel Xavier
Published: April 2024

La educación es el motor principal en el desarrollo de cualquier sociedad, por tanto, es un área que se encuentra en constante transformación en busca de la excelencia en cada una de sus funciones. En este sentido, el avance tecnológico representa una nueva oportunidad para revolucionar la forma de enseñar y aprender: la integración de la educación inmersiva y la importancia del uso de la inteligencia artificial en estos entornos. En la educación superior, es una herramienta inestimable que permite recrear el mundo real o crear nuevos mundos, proporcionando a los estudiantes experiencias que los pueden ayudar en múltiples aspectos de su formación profesional. En consecuencia, la presente investigación tiene como propósito plasmar las generalidades del uso de la inteligencia artificial en la creación de entornos de aprendizaje inmersivos en la educación superior. El enfoque metodológico de la investigación es una revisión bibliográfico – documental. El uso de la inteligencia artificial es fundamental en los entornos de educación inmersiva, ésta se enfoca en el desarrollo de sistemas inteligentes capaces de aprender, pensar, planear y tomar decisiones. La IA permite el mejoramiento de las funciones de estos entornos al personalizar el aprendizaje, por medio de funciones como la tutoría virtual, simuladores y/o laboratorios virtuales, automatización de procesos tales como las evaluaciones, así como brindar asistencia en tiempo real. Las diferentes aplicaciones de la inteligencia artificial en los entornos de aprendizaje inmersivos en educación superior permiten a los estudiantes adquirir conocimientos de manera efectiva y el desarrollo de habilidades primordiales para la actualidad.
Educación continua: eje articulador de la vinculación en la transferencia del conocimiento
Authors: Herrera Soria Pablo Gilberto
Published: April 2024

La educación continua permite una estrecha relación entre la academia y la sociedad, mediante la transferencia de conocimiento. En esta investigación descriptiva se realizó un análisis documental y de redes para identificar los logros más importantes del Centro de Educación Continua de la Universidad Técnica de Cotopaxi. Como resultados, se identificaron varios eventos realizados por el centro, beneficiando a miles de personas, en varias modalidades de capacitación durante el año 2023. Esto demuestra y afianza el compromiso de la universidad con diversos sectores sociales de la provincia.
Tormenta tiroidea y tirotoxicosis
Authors: Paredes Terán Lissette Estefanía , Hernández Argel Omar , Álvarez Vásquez Michelle Carolina , Correa Ayavaca Lizeth Aracely
Published: April 2024

El hipertiroidismo es una condición caracterizada por un aumento en la producción y liberación de hormonas tiroideas, siendo más común en mujeres adultas, con una prevalencia del 1.3 al 2%. La tirotoxicosis es la manifestación clínica del exceso de hormonas tiroideas, mientras que la tormenta tiroidea, una emergencia endocrina rara pero potencialmente mortal, es su forma más extrema, afectando al 1-2% de los pacientes con tirotoxicosis. Sus principales características incluyen taquicardia, fiebre y trastornos del sistema nervioso central. El hipertiroidismo puede originarse por diversas causas, siendo la enfermedad de Graves-Basedow la más prevalente, seguida de adenomas tiroideos únicos hiperfuncionantes y el bocio multinodular tóxico. Menos comunes son las tiroiditis silentes, postparto, De Quervain, Hashimoto e inducidas por drogas, mientras que las causas raras incluyen el carcinoma folicular tiroideo, enfermedad trofoblástica y autonomía diseminada tiroidea no autoinmune. La tormenta tiroidea se manifiesta como una exacerbación dramática de los síntomas de la tirotoxicosis, con insuficiencia multiorgánica, alta morbilidad y mortalidad. Los desencadenantes más comunes incluyen el uso irregular de medicación con antitiroideos y las infecciones del tracto respiratorio superior. Los síntomas de la tormenta tiroidea abarcan una amplia gama, desde intolerancia al calor hasta complicaciones graves como insuficiencia cardíaca y alteraciones del sistema nervioso central. El diagnóstico puede ser difícil debido a la variedad de presentaciones clínicas, pero los criterios diagnósticos de Burch y Wartofsky son ampliamente utilizados, con un puntaje ≥45 siendo altamente sugestivo de tormenta tiroidea. El tratamiento de la tormenta tiroidea implica inhibir la síntesis y liberación de nuevas hormonas tiroideas, así como bloquear su efecto periférico. Se utilizan medicamentos antitiroideos, yodo inorgánico, bloqueadores beta y glucocorticoides. Además, se debe proporcionar soporte vital y tratar la causa desencadenante, especialmente si se trata de una infección. Aunque las recomendaciones y protocolos de manejo de la tormenta tiroidea han sido consistentes, la rareza de esta emergencia médica limita la evidencia disponible. Sin embargo, esta revisión proporciona una síntesis actualizada de las recomendaciones vigentes con el objetivo de mejorar los resultados clínicos y reducir la carga de enfermedad asociada.
Inteligencia Artificial. La nueva transformación de la administración empresarial
Authors: Rangel Saltos Johanna Estefania , Triviño Bloisse Soraya Yamil , Lavayen Yavar Henry , Villamar Piguave Walter Giovanny
Published: April 2024

La Inteligencia Artificial (IA) es una tecnología que está transformando, cada vez más, la forma en que operan las empresas. Se trata de un conjunto de sistemas o combinación de algoritmos, cuyo objetivo principal es la creación de máquinas que imitan la inteligencia humana para realizar tareas y que pueden mejorar progresivamente, conforme la información que recopilan. Este tipo de tecnología puede colaborar con las empresas en su eficiencia, productividad y competitividad. En consecuencia, el propósito de la presente investigación es plasmar las generalidades acerca de la transformación o el impacto que tiene la inteligencia artificial en la administración empresarial. El enfoque metodológico de la investigación es una revisión bibliográfico – documental. Son muchas las áreas de la empresa donde la implementación de la IA ha producido un gran impacto, transformando vertiginosa y radicalmente la administración de la misma. Estos cambios vienen por aplicaciones de la IA en la recopilación y análisis de grandes cantidades de datos, los cuales pueden ser procesados de manera rápida y eficiente. Este trabajo representa la base para la toma de decisiones informada. Igualmente, la automatización de tareas repetitivas y rutinarias es una parte fundamental de esta transformación gracias a la IA. Este tipo de tareas libera a los empleados para que se centren en tareas más estratégicas y creativas. Asimismo, la IA es capaz de mejorar la experiencia del cliente al proporcionar respuestas rápidas y personalizadas a través de chatbots y asistentes virtuales. La IA también puede ser usada para la predicción y prevención de problemas antes de que ocurran. En resumen, la IA está transformando la administración empresarial al proporcionar maneras nunca antes vistas de automatización, toma de decisiones y optimización de procesos, teniendo la posibilidad de obtener ventajas competitivas al mejorar la eficiencia, la productividad y la experiencia del cliente.
Proses Sosiokultural Siswa Dalam Pendidikan Multikultural di Sekolah Dasar
Authors: Setiawan Rifky
Published: April 2024

The purpose of this research is to look at students' sociocultural processes in multicultural education in elementary schools. This research is a type of qualitative research with a phenomenological approach, namely by conducting a critical analysis of social events. Data collection techniques are carried out by observation, interviews, and documentation. The results of the study show that at SD SD Negeri 008 Sidodadi the teachers have integrated students' socio-culture into multicultural education through a learning model at school. This is seen as important to provide provision and help develop insight into thinking and personality and to train students in dealing with social problems that occur in their community environment.
Persepsi siswa tentang penggunaan media pembelajaran digital di SMP Negeri 1 Bantaeng
Authors: A Aldi , Mappincara Andi , Mus Sumarlin
Published: April 2024

Penelitian ini bertujuan untuk mengetahui persepsi siswa tentang penggunaan media pembelajaran digital di SMP Negeri 1 Bantaeng. Penelitian ini merupakan penelitian dekkriptif kuantitatif untuk menjelaskan kondisi persepsi siswa. Sampel dalam penelitian ini berjumlah 184 siswa dengan teknik slovin. Teknik pengumpulan data yang digunakan adalah observasi, angket dan dokumentasi. Teknik analisis data yang digunakan adalah analisis statistik deskriptif. Hasil pengujian menunjukkan bahwa persepsi penggunaan media pembelajaran proyeksi tergolong dalam persepsi yang cukup baik. Persepsi penggunaan media pembelajaran fotografi berada dalam  kategori yang baik. Persepsi penggunaan media rekaman /audio berkategori yang baik dan persepsi penggunaan media audio visual juga dalam kategori yang baik. Berdasarkan hasil temuan, secara keseluruhan persepsi penggunaan media pembelajaran siswa di SMP Negeri 1 Bantaeng dalam kategori yang baik
The influence of Different Types of Career Exploration on Achievement Career Identity Among Z Generation
Authors: Sinring Abdullah , Umar Nur Fadhilah
Published: April 2024

This study aims to determine the effect of career exploration on the achievement of career identity, as well as various aspects of career exploration consisting of aspects of parental influence, economic status, personal choices, personal preferences, teacher influence, peer influence, the media, and which religious orientation most influential on identity career achievement. Using a correlational research design to determine how much influence the independent and dependent variables have. The data collection technique used a career development questionnaire. It developed from theory of the career development questionnaire, which EFA and CFA had tested to determine model fit, and both Career identity development inventories (CIDI). The sample in this study was students in South Sulawesi. The data analysis technique used was Pearson correlation and multiple regression analysis. Based on the findings, it was found that: 1. Career exploration on the career identity of generation Z students has a positive influence, 2. Several aspects of career exploration consist of personal choices, preferences, peer influence, and the media positively influencing career identity, 3. Aspects of career exploration that do not affect achievement career identity are parental influence, economic status, teacher influence, and religious orientation
Developing A Digital Model As A Literature For Preventing And Overcoming Cyberbullying Among Children And Teenagers K-Pop Fans
Authors: Anwar Citra Rosalyn , Arnidah Arnidah , Lidayni Asnur
Published: April 2024

This study aimed to develop a digital module for Digital Literacy for children and young people who were KPop fans in Makassar, to prevent cyberbullying. Data showed that that K-Pop fans consisting of children and teenagers in Indonesia were one of the largest Internet users in the world. The high use of the internet was also directly proportional to the cyberbullying that occured to them, not only as victims but also as perpetrators. This was the reason, why this study was important to investigate even though many researches on digital literacy had been carried out, but not many had been found specifically targeting KPop fans, while they were active internet users. This study was development research referring to the 4-D model (Four) that proposed by S. Thiagarajan and Semmel (1974), which consisted of 4 stages of development, namely the stage of defining (Define), Design , Development (Develop), and dissemination (Disseminate), then reduced to a 3-D model which only consisted of 3 stages of development, namely the stage of defining (Define), Design, Development (Develop). The results produced a Digital Literacy Module, which emphasized content on digital skills, consisting of Devices used, Search Engines, social media applications and online conversations and shopping, all of which were adapted to the characteristics of KPop Fans.
Exploring The Potential of Microlearning for Toefl Ibt Preparation Among High School Students
Authors: Faizal Rizky Muhammad , H Nurhikmah , Febriati Farida
Published: April 2024

The aim of this needs analysis is to investigate the potential of microlearning as a learning approach to prepare high school students for the TOEFL iBT. Microlearning is an instructional method that involves brief participation in an activity that is intended to yield a specific result. While prior research has shown its benefits in encouraging independent learning, reducing mental fatigue, and preventing demotivation and cognitive impairments, most studies have focused on adult learners, with only a small fraction conducted in high school settings. In Indonesia, certificates of English aptitude tests, such as TOEFL iBT, are necessary for higher education and job applications. However, the topic and skills are rarely discussed in schools, resulting in many high school graduates being unprepared for the exam. Typically, students resort to private institutions or tutors to acquire the necessary skills, but the associated costs and time commitment can be discouraging. Therefore, it is essential to examine the perceived importance of TOEFL iBT, learning difficulties, and learning preferences. The findings will inform recommendations on integrating microlearning into the existing educational framework. Future studies should explore microlearning themes further, expand research to high school context, and explore mobile-based microlearning.
Hilbert’s Nullstellensatz
Authors: Bekker B. M. , Vostokov S. V. , Vostokova R. P.
Published: April 2024

Hilbert’s Nullstellensatz proved by him in 1890 is one of the basic results in modern algebraic geometry. We give various statements and proofs of this theorem all of which are used in algebraic geometry. All notions and facts outside the basic algebra course are explained in the paper.
"ECHOES OF THE FUTURE: BRIDGING TRADITION AND INNOVATION IN DIGITAL HUMANITIES AND ENGLISH LITERATURE"
Authors: Thakre Sarthak Satish
Published: April 2024

Digital Humanities (DH) has emerged as a transformative field that integrates computational methods with humanities disciplines, including the study of English literature. This paper explores the evolving landscape of Digital Humanities and its impact on English literature studies. Through a comprehensive literature review and analysis of case studies, it examines the various ways in which digital tools and technologies are revolutionizing the study, analysis, and interpretation of literary texts. The paper also addresses challenges and opportunities presented by the intersection of Digital Humanities and English literature studies, highlighting potential for interdisciplinary collaboration, innovative scholarship, and enhanced understanding of literary works in the digital age.
Education on the Importance of Breast Milk and Complementary Foods for Breast Milk (MPASI) as an Effort to Prevent Stunting
Authors: Langi Louisa Ariantje , Rahmawati Fri , Wija Ida Bagus Eka Utama , Pariama Ganda , Reviani Nia
Published: April 2024

Stunting is a form of growth failure (growth faltering) due to the accumulation of nutritional deficiencies that last for a long time starting from pregnancy until the age of 24 months. Optimal nutritional intake for newborns by providing exclusive breast milk as the main food until the age of 6 months and then continuing until the age of 2 years accompanied by appropriate and high-quality complementary foods will prevent stunting in toddlers. One important effort to prevent stunting is by empowering the community, especially parents, to pay attention to the intake of breast milk and complementary foods for their babies. By providing knowledge to the public about the importance of correct breastfeeding and MPASI, it is hoped that the public can change their behavior to prioritize exclusive breastfeeding and correct MPASI. This community service method uses an educational approach through outreach with a total of 139 participants who live in five villages in Jatigede District, Sumedang Regency, West Java. Socialization involving experts gave results that there was an increase in participants' knowledge as measured using pre-test and post-test instruments. The percentage of participants who experienced an increase in knowledge from 139 participants, the results obtained were 118 participants (85%) experienced an increase in knowledge about breast milk and complementary foods, and 19 people (14%) had the same knowledge before and after socialization while 2 people (1%) gained The score decreased during the post-test due to several factors, including some participants who did not have time to complete the post-test questionnaire due to having to do other work
Current Issues on the Shareholder Taxation System and Tax Law Amendments
Authors:   Korea Accounting Information Association, Bae Seongho
Published: April 2024

[Purpose] The distribution of company property to shareholders has become smoother since the revision of the Commercial Act in 2011, including allowing reserve reduction dividends. However, the related shareholder taxation system still needs to be revised. The purpose of this study is to improve the shareholder taxation system in case of reserve reduction dividends, paid－in capital increase, and capital reduction. with awareness of the problem that the shareholder taxation system is inadequate. As a result, this study aims to propose a realistic tax law amendment.
[Methodology] Analysis of relevant overseas cases (USA, Germany, Japan) and related previous studies were investigated and presented.
[Findings] First, there is an inadequacy in that when dividends are reduced by reserve, if dividends exceed the acquisition price of stocks held by shareholders, taxation is not imposed. In relation to this, the Corporate Tax Act stipulates that taxation will be imposed from 2023, but the Income Tax Act has not yet been revised. Accordingly, a revision of the Income Tax Act was proposed. Second, in Korea, capital reduction is treated as dividend income and taxed. However, the economic nature of capital reduction is closer to the transfer of stocks by shareholders. The current calculation structure of fictitious dividend income is also very similar to the capital gains method. Therefore, this study proposed that fictitious dividends be taxed as capital gains under the Income Tax Act. Third, if the compensation received due to resignation, withdrawal, or reduction in investment exceeds the acquisition price of the stock, it is taxed as a fictitious dividend. At this time, there is a problem in that dividend income varies depending on the acquisition price. Accordingly, this study proposed dividing the profits distributed to shareholders into the return of capital and the distribution of profits.
[Implications] This study has implications in that it suggests ways to improve the shareholder taxation system that can minimize friction with the current tax law and increase legal stability.
As práticas interdisciplinares na educação na saúde no cenário de aprendizagem a distância: uma revisão integrativa
Authors: Da Cruz Cavalcante Edilma , Hugo Gonzalez Ricardo
Published: April 2024

Resumo: Este estudo tem como objetivo identificar a colaboração das práticas interdisciplinares na Educação na Saúde no cenário de aprendizagem a distância. Trata-se de uma revisão integrativa da literatura realizada no Portal de Periódicos da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes), partindo da questão norteadora: “Qual a colaboração das práticas interdisciplinares na Educação na Saúde no cenário de aprendizagem a distância?”. A busca foi realizada em fevereiro de 2023 onde foram identificados 25 estudos, em português e inglês, nos últimos cinco anos. Foram selecionados sete artigos que atenderam aos critérios de inclusão. Os estudos incluídos foram realizados, em sua maioria, com estudantes de graduação e pós-graduação e foi percebida a dificuldade de integração entre teoria e prática na Saúde. Todos os estudos demonstraram a prática da interdisciplinaridade como desafiadora, mas que contribui para a formação de profissionais ativos e críticos. E que, através do uso da aprendizagem a distância, as práticas interdisciplinares fortalecem iniciativas individuais e coletivas.
THE ROLE OF PROJECT-BASED LEARNING IN THE TRAINING OF FUTURE OFFICERS
Authors: Kozyar Mykhaylo , Dziuba Petro , Tyurina Valentyna , Miroshnichenko Valentina , Romanyshyna Liudmyla
Published: April 2024

The article aims to identify project technologies’ effectiveness in forming future officers’ professional competence. Testing and a formative experiment were used as the research methods. The study was conducted with cadets of military educational institutions. Each project consisted of organisational, motivational, research and final stages, which included reflection on the acquired knowledge. Typical trends in the transformation of professional competence in military education were identified. The project-based learning method has been found to contribute to forming the communicative, managerial, motivational, and cognitive components of future officers’ professional competence. This method was least effective for forming the emotional and volitional components of future officers’ competence. In general, the research hypothesis about the effectiveness of the project method in training future officers was partially confirmed. The hypothesis about the dependence of the effectiveness of the project method on the course of study in future officers’ training was fully confirmed. The results can be used to improve the effectiveness of educational programmes for training future officers. Further prospects for the research are to study the relationship between the project method’s effectiveness and students’ psychological characteristics.
A cross sectional study on prescription patterns of antipsychotic drugs among adults with psychiatric illness in a tertiary care hospital
Authors: RAHATH NAZNEEN  , MITTA PALLY SAHRUJA  , PALLE SANKEERTHANA  , RASURI SUVANA  , N D SANJAY KUMAR
Published: April 2024

Importance: Antipsychotic drugs are typically used to treat schizophrenia but they are also helpful for other psychotic symptoms, including manic states with psychotic symptoms including hallucinations, delusions. Objective: To study the prescribing patterns of antipsychotic drugs among people with psychiatric illness & to study the prescribing factors comparison between elderly and Adolescent’s patients. Design and Settings: This is a prospective, comparative, cross sectional and observational study conducted on 100 patients in IP and OP psychiatry Department at Prathima Institute of Medical Sciences. In this study, we compared 1st generation antipsychotics with 2nd in prospective of their safety and effectiveness. Study Period: 6 months (Sep 2022- Feb 2023). Participants: Study population: 100.Study Criteria; Inclusion criteria includes: Adults of age 18-55 years, Geriatrics above 60years. Exclusion criteria includes: Paediatrics, Pregnant women. Main outcome and measure: 2nd generations antipsychotics are more commonly prescribed as it has more effectiveness and less side effects. Results: In our study population out of 100 patients, majority of the patients were from the age group of 30-35 years (20%), 25-30 years (17%). Among 100 patients, the most common symptoms were anger (30%), fearfulness (31%), decreased sleep (57%). Majority of the patients have been diagnosed with schizophrenia (26%), mixed anxiety and depressive disorder (26%). Atypical drugs were more commonly prescribed (risperidone 64%, olanzapine 14% and quetiapine 14%) than typical drugs (haloperidol 25%, chlorpromazine 2%). Conclusion and Relevance: we have observed that there is a greater need for patient education regarding psychiatric illness in order to have better patient outcomes, and providing knowledge regarding medication adherence. In this study, among typical and atypical antipsychotics the later are more commonly prescribed compared to former as it has more effectiveness and less side effects.
Lexico-syntactic analysis of antonyms in some speeches of John Dramani Mahama
Authors: Richard Asante  , Aikins Addae  , Godwin Kusi Danquah
Published: April 2024

Language and politics are intertwined. This is because in order to champion political interest, politicians rely on some powerful linguistic resources to communicate with their audience. Available literature suggests that one of such linguistic resources is antonyms. However, researchers have not paid attention to the use of antonyms in political discourse, especially, in Ghana. On account of this, the present study investigated the lexico-syntactic features of antonyms in some speeches of John Dramani Mahama, a former President of the Republic of Ghana. The study is an interface between cognitive semantics and political discourse which sought to discover the lexico-syntactic features and the functional implications of the antonym pairs used in the speeches of John Dramani Mahama. The study was conducted within the framework of the Lexical Field Theory and the speeches were analysed, using the qualitative research method. Through the use of purposive sampling method, sixteen (16) political speeches of John Dramani Mahama were selected for the analysis. The study relied on Cruse’s (1986) outlined features of antonymy and Murphy’s (2003) theoretical view on context-derived antonymy to identify the antonym pairs in the speeches. The study discovered one hundred and seventy-three (173) antonym pairs in the sixteen (16) selected speeches. The outcome of the study further revealed the noun phrase pair as the largest grammatical category in the selected speeches. The study again showed that John Dramani Mahama usually uses noun antonymic pairs and the coordinated frame X and Y in his political speeches. The study concluded that John Dramani Mahama uses antonyms in his speeches to persuade his audience, establish association, inspire hope and confidence, call for patriotism and hardworking towards national development, and finally, to present his political vision to Ghanaians.
Biological bases of survival in blocked Leningrad (to the 80th anniversary of the liberation of Leningrad from the nazi blockade)
Authors: Simonenkо V. B.
Published: April 2024

Prerequisites for the survival of residents of besieged Leningrad: genetically determined human resilience, physiological psycho-emotional stress, nonspecifi c stress adaptation. A description of the trophological and energy status of the body is given in conditions of a significant decrease in the functions of all organs and systems due to atrophy of internal organs during starvation under blockade conditions.
Hypotheses. Тheories. Practice (95th anniversary of academician Andrey Ivanovich Vorobyov)
Authors: Vorobyov P. A.
Published: April 2024

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