bluuebunny/crossref_metadata_2025 huggingface dataset:
Methods for Calculating Life Expectancy at Birth for Small Areas: A Systematic Review
Authors: Marques Denise Helena França , Silva Valéria Andrade , Gonçalves Caio César , De Souza Igor Augusto Tadeu
Published: February 2025

Estimating life expectancy at birth for small areas is challenging because of the reduced sample size, which includes small populations and death counts, resulting in high variability and instability in mortality rates. Data deficiencies and imprecision further complicate the task. To address these issues, researchers have used smoothing techniques and data adjustments. In recent decades, significant advances have led to the development of various demographic and/or statistical methods in this field. This systematic review aims to present the state of the art of methods for estimating specific mortality rates in small areas, with and without data deficiencies. Following the PRISMA protocol, 47 articles were selected. Most of the studies focused on the variability of the estimates, while a few considered the quality of the data before and/or after the smoothing of mortality rates, even in contexts known for poor information quality and underreporting.
Libras para pessoas idosas:p´ráticas educativas, inclusão social e o combate ao idadismo
Authors: Veronica Almeida
Published: February 2025

Este relato de experiência propõe refletir sobre a Língua Brasileira de Sinais - LIBRAS e a participação de pessoas idosas em ações específicas para este público no Instituto Federal de Brasília. Analisa a participação de pessoas idosas nas práticas educativas para promoção da inclusão social envolvendo a LIBRAS e o envelhecimento ativo e saudável. Utiliza a metodologia qualitativa desenvolvida através da pesquisa de campo com levantamento documental, diagnóstico pedagógico e observação participante nas aulas da LIBRAS. Os resultados mostram o perfil dos estudantes e os elementos constituintes da sua participação composta por motivos, finalidades, dificuldades e práticas de aprendizagem. Considera-se que a oferta de ações educacionais com foco em pessoas idosas promove a inclusão social e o combate ao idadismo, também enfatiza a importância das práticas educativas ao viabilizar o acesso a novos conhecimentos e evidenciar que o uso da LIBRAS em movimento é mais eficiente na aprendizagem das pessoas idosas.
Development of a One-Stop Service Promotion Model for Low Vision at Cicendo Eye Hospital, Bandung
Authors: Pohan Hani Ulfah , Sukoco Dwi Heru , Susilawati Susilawati
Published: February 2025

Promosi yang terbatas tidak cukup mendukung peningkatan akses masyarakat terhadap layanan. Keterbatasan promosi terkait dengan perencanaan promosi yang masih belum komprehensif dan tidak partisipatif. Penelitian ini bertujuan untuk mengembangkan model perencanaan promosi layanan yang komprehensif dan partisipatif. Penelitian ini menggunakan pendekatan kualitatif dengan Participatory Action Research (PAR). Penelitian ini melibatkan pasien, keluarga dan masyarakat, dokter mata, pekerja sosial, psikolog, pendidik kesehatan, ahli kacamata, staf hubungan masyarakat, dan staf promosi kesehatan. Data dikumpulkan melalui observasi, studi dokumentasi, wawancara mendalam, dan diskusi kelompok terarah. Pengujian validitas menggunakan teknik kredibilitas, transferabilitas, dependabilitas, dan konfirmabilitas. Kemudian dianalisis menggunakan model Mile & Huberman. Temuan penelitian menunjukkan bahwa model ini menghasilkan sistem promosi layanan yang komprehensif, dan memastikan penyebaran informasi yang lebih mudah diakses oleh pengguna layanan sehingga meningkatkan penyampaian layanan. Model ini menggunakan konsep society 5.0 yang mencakup penggunaan teknologi digital, penekanan pada keseimbangan antara teknologi dan manusia, pembangunan kapasitas berkelanjutan seperti pendidikan dan pelatihan keterampilan, penggunaan sistem terintegrasi, keamanan data, dan privasi. Model ini menawarkan kemudahan implementasi karena memiliki lima langkah yang sistematis dan partisipatif. Uji coba model ini di Rumah Sakit Mata Cicendo telah menghasilkan penyebaran informasi yang berkelanjutan dengan memanfaatkan teknologi media audio-visual dan telah meningkatkan jumlah pasien. Penggunaan teknologi media audio-visual terbukti memudahkan penyandang disabilitas penglihatan untuk memperoleh informasi
DESAIN PENGORGANISASIAN KELUARGA MISKIN MELALUI KOPERASI BERBASIS INTEGRATED PEER TO PEER (I-P2P) LENDING DI DESA MEKARMUKTI KECAMATAN CIHAMPELAS KABUPATEN BANDUNG BARAT
Authors: Firdaus Syifa Maghfirotul , Kartika Tuti , Laras Hartono
Published: February 2025

Koperasi menjadi salah satu bentuk pengorganisasian keluaga miskin yang dapat dilakukan dalam upaya pemberdayaan. Namun, fenomena saat ini, koperasi memiliki berbagai hambatan dan tantangan, seperti tidak diminati karena sistem pinjaman yang tidak aksesibel dan familiar dengan tingkat pengembalian yang rendah. Tujuan dari penelitian ini adalah untuk mengetahui dan menyempurnakan Desain Pengorganisasian Keluarga Miskin Melalui Koperasi Berbasis Integrated Peer To Peer (I-P2P) Lending dalam menjawab hambatan dan tantangan pada koperasi. Penelitian ini menggunakan pendekatan kualitatif dengan metode PAR (Participatory Action Research) melalui teknik FGD (Focus Group Discussion), wawancara mendalam, observasi, dan studi dokumentasi. Sumber data primer dalam penelitian ini adalah informan yang terdiri dari pemerintah desa, tokoh masyarakat, pendamping koperasi, dan keluarga miskin. Hasil penelitian menunjukkan bahwa desain Koperasi berbasis Integrated Peer to Peer (I-P2P) Lending dapat diimplementasikan dan efektif bagi koperasi untuk mengorganisasikan keluarga miskin dengan melibatkan partisipasi aktif kelompok anggota dengan memanfaatkan sub-sub sistem pada koperasi secara terintegrasi.
PENGEMBANGAN ECOLOGICAL MONITORING PADA PROGRAM PEMBERDAYAAN MASYARAKAT UNTUK PEREMPUAN MANDIRI DI DESA MEKARMUKTI KECAMATAN CIHAMPELAS KABUPATEN BANDUNG BARAT
Authors: Febriyanty Herda , Marjuki Marjuki , Aribowo Aribowo
Published: February 2025

Kemiskinan merupakan isu yang terus menerus dibahas dan diperdebatkan dalam berbagai forum, sehingga pengentasan kemiskinan yang dilakukan oleh Pemerintah Indonesia dalam satu dekade terakhir ini diwujudkan melalui program-program dari berbagai sektor. Salah satu program yang dilaksanakan dalam rangka pengentasan kemiskinan adalah pemberdayaan masyarakat. Tujuan dari penelitian ini adalah untuk mengetahui dan memperbaiki desain Ecological Monitoring dalam Program Pemberdayaan Masyarakat untuk Perempuan Mandiri. Metode yang digunakan dalam penelitian ini adalah metode penelitian kualitatif. Sedangkan desain penelitian yang digunakan peneliti adalah Participatory Action Research (PAR) dengan menggunakan teknik pengumpulan data wawancara mendalam, observasi, studi dokumentasi dan FGD. Sumber data dalam penelitian ini adalah sumber data primer yang berasal dari anggota masyarakat yang menjadi bagian dari komunitas dan pemangku kepentingan dalam program pemberdayaan. Data sekunder berasal dari studi dokumentasi berupa literatur dan hasil penelitian orang lain. Hasil penelitian menunjukkan bahwa monitoring ekologi dalam program pemberdayaan yang terdiri dari Yayasan PDP Sosial Mandiri, Pendamping Keluarga Harapan, Pemerintah Desa Mekarmukti, komunitas UMKM, pengusaha dan klien dapat diimplementasikan dan efektif untuk pemberdayaan masyarakat untuk meningkatkan partisipasi aktif dari para pemangku kepentingan sebagai sistem sumber daya di masyarakat serta penyusunan instrumen monitoring yang dapat digunakan saat melakukan monitoring program.
ASESMEN PARTISIPATIF MOTIVASIONAL PADA PROGRAM PEMBERDAYAAN MASYARAKAT DI YAYASAN USAHA MULIA CIANJUR JAWA BARAT
Authors: Haitami Haitami , Aribowo Aribowo , Gaol Harapan Lumban
Published: February 2025

This research focuses on social work technology engineering efforts with poverty on the changing profile of communities. One technology that is often used is Methodology Participatory Assessment (MPA) which aims to identify problems, needs and strengths of society in a participatory manner. However, the use of MPA does not guarantee the success of a program because it does not touch the motivational aspects of benefit recipients so that it has an impact on the sustainability of the program being run. Departing from this, it encourages researchers to adapt several methods to improve the current MPA. The research method used is a qualitative method with a Participatory Action Research (PAR) approach. This research attempts to combine the MPA method with motivational interviews (MI) into a motivational participatory assessment which can be used as an alternative in conducting assessments in community change programs at the Mulia Enterprise Foundation (YUM). MI is effective in generating thoughts, feelings and actions towards change and this includes readiness to make changes towards more sustainable options. This research involved Social Workers, YUM employees and beneficiaries using data collection techniques through in-depth interviews, observations, focus group discussions and documentation studies. The research begins with reflection on the initial model, then formulates the need for model improvement and designs the model according to the needs of the research locus. After the model is formed, the model design is implemented at the research locus and ends with an evaluation to obtain recommendations for a better model. The results of implementing the motivational participatory assessment technology engineering model are able to optimize participatory assessment by increasing the motivation of beneficiaries to increase awareness towards sustainable change.
TERAPI REALITAS DENGAN MODELING PADA ANAK RENTAN PUTUS SEKOLAH DI YAYASAN USAHA MULIA CIPANAS CIANJUR
Authors: Muttaqin Azka Izdad , Susilowati Ellya , Rasalwati Uke Hani
Published: February 2025

Pendidikan merupakan suatu modal utama dalam pembangunan Negara, kemajuan dari suatu Negara dapat dilihat dalam bidang Pendidikan, karena Pendidikan adalah sumber daya yang terbesar bagi manusia. Berdasarkan data yang dilakukan oleh SiMantap.Disdik bahwa angka putus sekolah Sekolah Dasar pada tahun 2022 di Kabupaten Cianjur sebesar 398 anak yang putus sekolah atau 0,16%, Sekolah Menengah Pertama sebesar 188 anak atau 0,18%, Sekolah Menengah Atas sebesar 85 anak atau 0,25%. Permasalahan anak rentan putus sekolah sangatlah kompleks, ada berbagai faktor yang dapat mempengaruhi anak untuk rentan putus sekolah diantaranya: faktor ekonomi, faktor keluarga atau orang tua, motivasi belajar anak. Berdasarkan praktikum yang telah dilakukan oleh praktikan, maka muncul sebuah Teknologi WDEPC+M pada penelitian ini diimplementasikan secara langsung kepada anak yang rentan putus sekolah. Tujuan dari penelitian ini adalah kondisi motivasi belajar anak rentan putus sekolah sebelum, selama, dan setelah teknik WDEPC+M diberikan. Rancangan penelitian ini menggunakan pendekatan kuantitatif dengan jenis desain yang digunakan yaitu Single Subject Desain, dengan desain A-B-A. Alat ukur yang digunakan pada penelitian ini yaitu kuisioner dan observasi. Teknik pengumpulan data yaitu observasi secara langsung, studi dokumentasi dan kuisioner. Subjek penelitian adalah anak rentan putus sekolah yang memiliki masalah motivasi belajar, dilakukan kepada 3 orang subjek penelitian. Berdasarkan hasil pengukuran perubahan perilaku pada ketiga subjek penelitian menunjukkan adanya penurunan perilaku untuk meningkatkan motivasi belajar pada anak rentan putus sekolah. Dapat disimpulkan bahwa terapi realitas dengan modeling pada anak rentan putus sekolah dapat meningkatkan motivasi belajar anak rentan putus sekolah.
 
KEYWORDS:
                          Terapi Realitas; Modeling; Motivasi Belajar; Anak Rentan Putus Sekolah
Community-Based Recovery Agents: Enhancing Capacity for Effective Drug Abuse Mitigation
Authors: Lessy Soraya , Indrakentjana Bambang , Ismudiyati Yuti Sri
Published: February 2025

The increasing abuse of Narcotic Drugs and Psychotropic Substances (NDPS) in Jayagiri Village, Cianjur Regency, represents a significant issue that necessitates comprehensive intervention from the government and community elements. In addressing the issue of NDPS abuse in Jayagiri Village, in 2022, the National Narcotics Agency (BNN) of Cianjur Regency, in collaboration with the village government, established a Community-Based Intervention (IBM) in Jayagiri Village as part of the Desa Bersinar program. Community participation is crucial in efforts to combat NDPS abuse. Therefore, the IBM recovery agent was established. Following its formation, this recovery agent received capacity-building to enhance knowledge and skills in implementing IBM activities/services. This study aims to develop technology engineering for capacity building and support for IBM recovery agents, focusing on the primary concept of assisting IBM recovery agents in implementing activities/services in the field, as well as community participation in program evaluation. This study employs a qualitative approach using the Participatory Action Research (PAR) method. Data collection involves documentation studies, observations, interviews, and Focus Group Discussions (FGD). Additionally, two tools or methods supporting FGD are utilized: Methodology Participatory Assessment (MPA) and Technology of Participation (ToP). The results indicated that the design of capacity building and mentoring for IBM recovery agents effectively enhanced their knowledge and skills. Furthermore, community participation in providing input or feedback on IBM activities/services was effective for the future development of the IBM program. The achieved outcome was that the implementation of IBM activities and services became more optimal and of higher quality.
PEMBERDAYAAN EKONOMI PEMULUNG MELALUI DAUR ULANG SAMPAH
Authors: Saputera Zulkifli , Rustanto Dr. Bambang , Marwanti Dr. TM.
Published: February 2025

Pemberdayaan ekonomi pemulung merupakan upaya meningkatkan pengetahuan, keterampilan dan penghasilan pemulung melalui daur ulang sampah dan menghubungkan dengan dunia usaha lokal. Masyarakat diberikan peningkatan kesadaran akan pentingnya permasalahan pemulung dan peningkatan kapasitas bagi TKM dalam pelaksanaan pemberdayaan. Tujuan dari penelitian ini adalah untuk memperoleh gambaran kondisi awal, menyusun desain, memperoleh gambaran hasil implementasi dan tersusunnya penyempurnaan desain pemberdayaan ekonomi pumulung melalui daur ulang sampah. Metode Penelitian yang digunakan adalah penelitian tindakan partisipatif dengan pendekatan kualitatif. Hasil penelitian ini menunjukkan bahwa: (1) pelaksanaan pemberdayaan ekonomi pemulung melalui daur sampah dilakukan dalam 2 siklus yaitu: asesmen, perencanaan, intervensi, evaluasi dan kembali ke asesmen, perencanaan, intervensi dan evaluasi lanjutan. (2) pelaksanaan pemberdayaan dilakuan melalui tiga aras mikro, messo dan makro. (3) pelatihan dan penyadaran kepada kelompok pemulung menghasilkan kemandirian dalam membangun jejaring dengan dunia usaha lokal, meningkatkan kapasitas TKM dan lingkungan lebih bersih. Dalam mengelola sampah, masyarakat mampu mengorganisir diri dalam kegiatan bersama untuk memecahkan masalah sampah, sebagai bentuk kesadaran tinggi dalam merespon masalah sampah dan bertindak atas dasar kepentingan bersama.
Heutagogía de la Relatividad: Argumentación y discusión científicas, mediadas por un foro virtual
Authors: Ávila García Guillemina
Published: February 2025

Introducción: El desarrollo de las habilidades del siglo XXI requiere repensar los procesos de aprendizaje; considerando las relaciones e interacciones entre estudiantes y docentes, las prácticas de enseñanza y la forma en que se evalúa, por lo que la propuesta basada en la heutagogía es propicia para la autorregulación del aprendizaje a través de un foro virtual con el tema de relatividad. Metodología: El estudio de caso describe  una muestra por convenciencia de 20 estudiantes, que considera los argumentos y la emisión de juicios de los estudiantes sobre el concepto de relatividad durante el foro y analizados a través del software Atlas.ti. Resultados: La implementacion del foro con enfoque de heutagogía proporciona elementos para que el estudiante considere y piense en su propio aprendizaje, mostrando eficacia en la interactividad para el intercambio de mensajes, aunque no siempre se produce aprendizaje. Discusión: Se requiere que la estrategia con enfoque heutagógico se aplique en los siguientes semestres para poder hacer un comparativo y la eficacia del enfoque. Conclusiones: El diseño de la estrategia didáctica acredita que el uso de un foro con el contenido apropiado y de acuerdo con el nivel de estudios de los estudiantes tiende al aprendizaje heutagógico.
Cómo entrenar a un algoritmo para detectar el lenguaje de odio en el conflicto Israel-Palestina
Authors: Rico Sulayes Antonio
Published: February 2025

Introducción: La detección automática de comportamientos nocivos en la comunicación digital, como el lenguaje de odio hacia algún grupo social, es abordada por el análisis de sentimientos, tarea del procesamiento del lenguaje natural. Detectar el lenguaje de odio en el conflicto Israel-Palestina es particularmente complejo, ya que se puede observar un discurso de odio, y otro de apoyo, hacia cada uno de los dos grupos involucrados. Metodología: Como un algoritmo necesita aprender a reconocer este comportamiento a partir de ejemplos, aquí se ensambló un corpus con comentarios extraídos de redes sociales y relacionados con el conflicto armado. Además, se crearon las reglas para un etiquetado cuádruple, propio del discurso ideológico, donde un grupo dice tener la verdad frente a otro, cuyas creencias califica de ideología, mientras el otro grupo defiende lo contrario Resultados: Este trabajo muestra el nivel de validez alcanzado en el acuerdo entre etiquetadores respecto de varios niveles de polaridad, incluyendo apoyo, odio y neutral. Conclusiones: Si bien se alcanzó una validez sustancial con dos niveles de polaridad opuestos, la inclusión de un nivel de neutralidad aumenta la complejidad y reduce el coeficiente de validez. Al final, se discuten las posibles aplicaciones del corpus en términos de seguridad e inteligencia.
Aprendiendo matemáticas con reglas mnemotécnicas
Authors: Pérez Lozada Angélica Patricia , Suárez Hortiales Evelyne , Carranco-Lozada Simon Eduardo , Torres-Rivera Sonia
Published: February 2025

Introducción: El aprendizaje de las matemáticas en la educación básica contribuye al desempeño en la educación media superior y superior, sin embargo, entre los factores que originan el rezago en el dominio del razonamiento matemático está el grado de dificultad con el cual se enseña y la ausencia de estrategias didácticas que refuercen el conocimiento. Objetivo: se plantea una estrategia para fortalecer la manera de aprender y solucionar operaciones elementales (suma, resta, multiplicación y división), para lo cual se diseñaron reglas mnemotécnicas. Metodología: consiste en desarrollar un algoritmo para cada tipo de operación, que pueda ser representado por un objeto o frase emblemática que traiga a la mente la idea de cómo se resuelve esa operación en particular. La muestra consistió en un grupo de 55 estudiantes, con evaluaciones por debajo de lo estimado en el examen previo de diagnóstico. La mnemotecnia diseñada como estrategia de aprendizaje propició un alto índice de aprobados (de 90% en números enteros y 70% en números fraccionarios). Conclusiones: Este resultado ratifica el éxito de ésta, pues mejora el razonamiento. Al ser cuestionados los estudiantes sobre el empleo de esta mnemotecnia éstos afirmaron que ésta les daba seguridad y rapidez al momento de su aplicación.
El uso del cómic en Educación Primaria para la retención a largo plazo de los aprendizajes adquiridos
Authors: Lafuente Jorge Carlos
Published: February 2025

Introducción: Se pretende contrastar si la utilización del cómic mejora el aprendizaje de los contenidos y su retención. Metodología: Participaron 66 alumnos/as de Primaria de 7 y 8 años, divididos en dos grupos: grupo control y grupo experimental (en este se utilizó viñetas propias del cómic). Se administró un pre y post test pedagógico en tres momentos: t1 previo a la intervención, t2 inmediatamente posterior y t3 dos semanas y media después. Se hallaron diferencias significativas (p-valor<0,001) entre el grupo control y el experimental en t3, obteniendo este último mejores resultados.  Resultados: No se han encontrado diferencias entre los grupos en t1 ni en t2, siendo los resultados obtenidos por ambos significativamente mayores en t2 que en t1. Discusión: Se han encontrado diferencias en cuanto a la retención del aprendizaje, siendo estas más duraderas en el grupo en el que se han trabajado los cómics. Conclusiones: Los resultados indican que tras dos semanas y media de la impartición de contenidos, los alumnos que han utilizado viñetas de cómic obtienen mejores puntuaciones, que aquellos que solo han utilizado textos escritos.
Implementación de redes neuronales para la clasificación de fuentes informativas en periodismo digital sobre inteligencia artificial
Authors: Torres-Cruz Fred , Yucra-Mamani Yudi Janeh , Aragón Cruz Walker Ernesto , Tovar Yucra Mariana Esther
Published: February 2025

Introducción: En la era digital, clasificar fuentes informativas es esencial para mantener la calidad del periodismo, especialmente con inteligencia artificial (IA). Este estudio emplea redes neuronales para esta tarea, evaluando su efectividad y proporcionando interpretaciones claras de los resultados. Metodología: Se utilizó un conjunto de datos con 14 características del contenido periodístico, como género, sección de publicación, tipo de fuente y presencia de multimedia. La variable objetivo clasificaba la fuente principal del texto en categorías como experto, político, cultural, religioso, periodístico y otros. El modelo de red neuronal tenía dos capas densas ocultas de 64 neuronas cada una, con activación ReLU. Fue entrenado y evaluado con datos divididos en conjuntos de entrenamiento y prueba. La estandarización de características mejoró el rendimiento del modelo, alcanzando un 46% de precisión en la prueba. Resultados: Se aplicaron técnicas como SHAP y LIME para interpretar las predicciones del modelo. SHAP identificó las características más influyentes. LIME ofreció una comprensión detallada de cómo las características específicas afectan las predicciones. Conclusiones: Este estudio propone un enfoque innovador para clasificar fuentes informativas en el periodismo digital y destaca la importancia de la interpretabilidad en los modelos de IA.
Viralidad en las redes sociales de los medios de comunicación audiovisuales españoles: formatos y contenidos
Authors: Gómez-Piñeiro Marcos , Corbacho-Valencia Juan-Manuel
Published: February 2025

Introducción: El artículo investiga la viralidad del contenido en redes sociales de medios audiovisuales españoles, enfocándose en los formatos y contenidos que impulsan las interacciones. Metodología: Se analizan las publicaciones más virales de 2023 de los principales canales de televisión en abierto, televisión por cable y plataformas de streaming, destacando el uso de vídeos, emociones positivas y hashtags para aumentar la visibilidad. Se examinan X, Facebook, TikTok, Instagram y YouTube. Resultados: El video es el formato dominante, representando el 91% de las publicaciones más virales. Las emociones positivas y el contenido que muestra actos de bondad son prevalentes. Movistar+ y Netflix lideran en contenido viral. Discusión: La investigación sugiere que los medios audiovisuales se están adaptando a nuevas tendencias creando contenido de video de corta duración que resuena con las audiencias y fomenta el compromiso. Se observa una diferencia en las estrategias de contenido entre la televisión tradicional y las plataformas VOD. Conclusiones: Los medios audiovisuales están cambiando su enfoque hacia la creación de contenido audiovisual impactante para redes sociales, lo que plantea preguntas sobre la atribución del contenido y la efectividad de los modelos de atribución digital actuales.
GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design
Authors: Sun Yuanfu , Ma Zhengnan , Fang Yi , Ma Jing , Tan Qiaoyu
Published: February 2025

The growing importance of textual and relational systems has driven interest in enhancing large language models (LLMs) for graph-structured data, particularly Text-Attributed Graphs (TAGs), where samples are represented by textual descriptions interconnected by edges. While research has largely focused on developing specialized graph LLMs through task-specific instruction tuning, _a comprehensive benchmark for evaluating LLMs solely through prompt design_ remains surprisingly absent. Without such a carefully crafted evaluation benchmark, most if not all, tailored graph LLMs are compared against general LLMs using simplistic queries (e.g., zero-shot reasoning with LLaMA), which can potentially camouflage many advantages as well as unexpected predicaments of them. To achieve more general evaluations and unveil the true potential of LLMs for graph tasks, we introduce GRAPH IN-CONTEXT LEARNING (GRAPHICL) BENCHMARK, a comprehensive benchmark comprising novel prompt templates designed to capture graph structure and handle limited label knowledge. Our systematic evaluation shows that general-purpose LLMs equipped with our GraphICL outperform state-of-the-art specialized graph LLMs and graph neural network models in resource-constrained settings and out-of-domain tasks. These findings highlight the significant potential of prompt engineering to enhance LLM performance on graph learning tasks without training and offer a strong baseline for advancing research in graph LLMs.
Application of innovative technologies in the study of graphic disciplines
Authors:   M.F. Reshetnyova Siberian State University science and technology, Levko Andrey , Gabidulin Sergey ,   M.F. Reshetnyova Siberian State University science and technology
Published: February 2025

The article considers the use of innovative technologies in the educational process, which allows junior students of technical specialties to use the achievements of computer graphics when studying graphic subjects. Modern production technologies require highly qualified engineering personnel, which places special demands on the educational process. This article considers the issue of preparing students for studying graphic subjects such as drawing geometry and engineering graphics using innovative teaching methods. The proposed solution is the introduction of the PDF3D format, which allows integrating three-dimensional models into electronic educational materials. The advantages of this approach are considered, including increasing the visibility and interactivity of the educational process, as well as the availability of use without the need to install special software. Using PDF3D helps students develop skills in working with 3D modeling, which subsequently has a positive effect on their professional training and adaptation to modern production requirements. In addition, aspects of adapting this technology to various educational environments, as well as prospects for further development of interactive formats in engineering education, are considered.
Ergonomics of an art studio: methodology for comfortable and productive creativity
Authors:   L.N. Gumilyov Eurasian National University, Sadykova Zhanna , Almasbayeva Aisulu ,   L.N. Gumilyov Eurasian National University
Published: February 2025

This article discusses the importance of applying ergonomic principles in the art studio. An art studio is a space designed to facilitate creativity, allowing artists to express themselves freely while maintaining a productive and comfortable work environment. The ergonomics of an art studio plays a crucial role in ensuring the efficiency and well-being of artists by addressing key factors such as workspace arrangement, lighting, temperature, humidity, and ergonomic tools. Proper workspace organization, including adjustable chairs, well-positioned desks, and accessible storage, contributes to reducing physical strain and increasing productivity. Adequate lighting is essential to provide accurate color perception and minimize eye fatigue, while optimal temperature and humidity levels ensure comfort during prolonged work sessions. Additionally, the use of ergonomic tools, such as specially designed brushes and drawing supports, enhances the creative process by reducing strain on the hands and wrists. Furthermore, noise control, ventilation, and proper material storage play significant roles in maintaining a healthy and inspiring environment. Regular breaks and physical exercises help mitigate the negative effects of prolonged sitting and repetitive movements. The research highlights the importance of implementing ergonomic principles in art studios to enhance artistic performance, improve health conditions, and create a sustainable working environment. By prioritizing ergonomics, artists can maximize their creative potential while preserving their physical and mental well-being.
Floating ceilings: new horizons of design
Authors:   L.N. Gumilyov Eurasian National University, Kapan Aitolkyn
Published: February 2025

The article examines the history of the development of suspended ceilings, from their initial appearance to modern innovative technologies and materials used to create them. Suspended ceilings are one of the most interesting and innovative trends in modern interior design, which not only transform the space, but also serve as an important element of the architectural composition. These ceilings, which have become widespread thanks to the use of new lightweight materials such as polymers and fiberglass, allow you to create a weightless effect and add depth to the interior. In the historical context, suspended ceilings were used to create a sense of grandeur and luxury, while their modern use includes residential and commercial use to hide utilities, create lighting effects and acoustic properties. With the development of technologies such as suspended structures, these ceilings have become more accessible and diverse in use. The main advantages are ease of installation, the ability to create unique design solutions and improved acoustics. However, there are also a number of disadvantages, such as design limitations and possible difficulties in maintenance. Floating ceilings are not only an element of interior design, but also an important aspect of sustainable urban design, offering new ways to address congestion and utilize vertical space.
The use of information technology in the design of upholstered furniture
Authors:   L.N. Gumilyov Eurasian National University, Saparbek Adilet
Published: February 2025

The article discusses the relevance of using modern information technologies in connection with high requirements for speed and flexibility in the design of upholstered furniture. Specialized software allows you to speed up the development process, optimize it, and create detailed sketches of future products. The introduction of 3D modeling and virtual reality (VR) opens up new opportunities for the furniture industry. The advantages of using modern technologies such as 3D modeling and virtual reality (VR) in furniture design were discussed. These methods allow designers to create a realistic representation of the product, check its compliance with ergonomic requirements and easily adjust design solutions. When designing furniture, special attention is paid to its functional and aesthetic characteristics, ergonomic requirements play an important role. The article presents three-dimensional models of upholstered furniture products created in 3D Max and their virtual placement in the interior. The use of these technologies simplifies all stages of design, eliminates errors and allows you to create products that fully meet the needs of consumers. Models created with the help of information technology save time and money, improve product quality, and also allow to fully satisfy the convenience and aesthetic requirements of the consumer.
Navigating the Quantum Era: Exploring Lightweight Quantum-Resistant Cryptography
Authors: Wai Kaey Tan
Published: February 2025

In the realm of cybersecurity, the emergence of quantum computing poses a significant threat to traditional cryptographic methods. Quantum algorithms such as Shor's algorithm challenge the security of widely used cryptographic schemes like ECC. As quantum computers advance, there is an urgent need to develop quantum-resistant cryptographic techniques. This research project aims to address this need by focusing on the development of lightweight quantum-resistant cryptography. The project aims to develop a National Institute of Standards and Technology (NIST) Approved lightweight quantum-resistant cryptographic algorithm that aligns with the resource constraints inherent in diverse applications and devices. By navigating the quantum era, the project seeks to provide practical, efficient, and deployable cryptographic solutions aligned with the resource constraints of diverse applications and devices.
The Digital Learning Revolution: AI-Powered Adaptive Learning in PGSD Lectures
Authors: Hertati Elvani
Published: February 2025

The development of digital technology has significantly impacted education, including PGSD (Primary School Teacher Education) lectures. AI-powered adaptive learning offers vast potential to revolutionize digital learning in PGSD, particularly in the course on Digital Learning. This study aims to explore the use of AI-powered adaptive learning in the context of fifth-semester PGSD students enrolled in Digital Learning courses for elementary schools. This research employs a qualitative approach with a case study method. Data were collected through observations, in-depth interviews with lecturers and students, and document analysis. Data were analyzed thematically to identify the benefits, challenges, and effective strategies for implementing AI-powered adaptive learning. The findings reveal that AI-powered adaptive learning has significant potential to enhance the effectiveness of digital learning in PGSD lectures. This system can provide personalized learning tailored to the needs and abilities of each student. It also boosts learning motivation, fosters independence, and optimizes study time. However, the study also highlights several challenges, such as resource availability, technology access, and lecturers' readiness to implement this system. This research recommends that universities consider integrating AI-powered adaptive learning as an integral part of digital learning in PGSD lectures. It also serves as a reference for developing strategies and policies that support the effective and sustainable implementation of AI-powered adaptive learning in higher education.
A Train Driving Simulator to Enhance Railway Technology Student’s Learning Experience Using Prototype Method and OpenBVE
Authors: Domato Mea Ann E. Domato Ann E. , Gutierrez Gabriel T. , Canas Maxine Honey A , Salinas Cyril Rose R. , Sison Venerando A. , Bunag Sherlie D. , Delizo Carlo Jay G. , Aunario Connie C. , Andador Jennifer D. , Garcia Julius G.
Published: February 2025

A Train Driving Simulator is a software application that tries to replicate the experience of operating a train.  This unique equipment minimizes the expense of using actual rolling stock to teach future railway staff.  The research aims to create a Train Driving Simulator with OpenBVE for Railway Technology students. The research focused on making a simulator that simulates the feeling of driving a train, which involved detailed physics modeling and control of the train.  The simulator was built to be user-friendly and accessible, with features such as the 3D representation of the LRT Line 1 route and its compact, portable architecture.  The simulator was built from commercial off-shelf parts and tested for usefulness, safety, and durability. The simulator's performance was tested using the TUP evaluation metrics.  The research aimed to enhance the learning experience of students undergoing railway technology by providing on-site training in operating a train.  The simulator will likely provide students and instructors with maximum benefit in courses like Railway Signaling, Rolling Stocks, and Railway Facilities
An Enhancement of Eigenface Algorithm Applied for Identifying Spoofing Attacks in Facial Recognition
Authors: Casison Ron Hale , Upaga Chloe Gwyneth , Guialil Jamillah , Cortez Dan Michael
Published: February 2025

Facial recognition is a biometric authentication technology that identifies individuals using their facial features in images and videos. The rise of spoofing attacks poses significant risks, especially for facial recognition, as malicious actors are impersonating individuals by misusing their identities. The accuracy of facial recognition can be impacted by factors like face occlusions, image low-resolution, and the distance of the user's face from the camera, leading to potential misidentification. This research enhanced the Eigenface Algorithm applied to identify spoofing attacks in facial recognition. The algorithm extracts facial features and transforms them into eigenvectors for improved accuracy. Previous studies showed limitations in face detection at varying distances, prompting the incorporation of a distance-based scale in the enhanced algorithm, targeting a range of 30 cm to 60 cm from the camera.  In this study, the researchers implemented OpenCV2 and stored the trained dataset in a YAML file. The dataset was generated by capturing multiple images with varying environments and distances, which were then preprocessed to resize and convert them to grayscale. Results showed a confidence level of 93.83% for the enhanced algorithm, a significant improvement from 57.38% with the existing one, and a faster average recognition time of 0.0141 seconds compared to 0.0216 seconds, demonstrating a 36.45% increase in confidence and a speed improvement of 0.0075 seconds. The distance-based scaling improves the efficiency of the Eigenface Algorithm by preventing recognition attempts at unsuitable distances, thus enhancing usability in practical applications.
Design of Web-Based Administrative Service Information System with Scrum Method
Authors: Sri Susanti Nanda , Kusumawati Serlie , Juwari Juwari
Published: February 2025

In the digital era, information systems have an important role in improving the efficiency of public services, including in administrative services. This research aims to develop a web-based administrative service system as a solution to manual systems that tend to be inefficient. The Scrum method was chosen as the development framework because of its flexibility in adapting to user needs as well as supporting collaboration and continuous improvement. The development stage starts from gathering user needs at the Product Backlog stage, followed by Sprint planning, Sprint implementation, to evaluation of work results through Sprint Review and Sprint Retrospective. The results of the development of this system show that the Scrum approach allows the integration of key features that make it easier to manage data and administrative services. The resulting system has succeeded in improving administrative efficiency and providing better accessibility for users. This research also provides insight into the implementation of the Scrum method in the development of web-based information systems, which can be applied to similar projects to improve the overall quality of public services.
A Normative Study of Generative Artificial Intelligence in Higher Education and Implications
Authors: Ji Mingyang , Liu Yue
Published: February 2025

Generative Artificial Intelligence (AI) has been developing rapidly and its application in higher education is becoming more and more widespread. The action research project of generative AI application by teachers in Tianhe District, Guangzhou City and the application case of Chat Generative Pre-trained Transformer are selected to illustrate that generative AI has brought unprecedented changes to many aspects of education and teaching, academic research, student management and services, and intelligent campus construction. However, along with these extensive applications, a series of ethical risk issues have gradually come to the fore. According to existing research, four major ethical risks of generative AI have been proposed: technology ontology risk, educational data risk, machine algorithm risk, and educational application risk. Combined with the literature "Eco-ethics and Risk Mitigation of Generative Artificial Intelligence Educational Applications", we conduct an in-depth analysis and put forward countermeasure suggestions for the risks faced by generative artificial intelligence in higher education. It helps to promote the healthy and sustainable development of generative AI in higher education and the improvement of education quality.
Implementation Of The Iot Device For Sit-Up Counting Based On ESP 8266
Authors: Rifai Jefri Andri , Styawati Styawati , Wijaya Rio
Published: February 2025

Sit ups are a type of strength exercise that functions to strengthen muscles. Sit up movements are usually calculated manually, but as technology develops, it is necessary to innovate to build a digital technology-based sit up movement counting tool. The goal is to provide a sit up instrument that is able to accurately calculate the number of sit ups that have been done. The tool is made based on digital technology using the internet of things (IoT). In making this tool, the author uses 2 LDR sensor modules and 2 KY008 laser sensors installed to detect the shoulder. If one of the light sensors in the form of an LDR module is not disconnected from the light displayed by the laser sensor, then the series of sit up counting tools with this application will not calculate the sit up acquisition. The sit up counter tool will calculate if the sit up position is perfect and cut off the laser light, it will send the results of the sit up to the MySQL database which will later be displayed in the web server. This tool is easy to use and portable or easy to move. The way this tool works is quite easy, the user only needs to choose the type of exercise needed, then the tool will calculate the movements done and the user just needs to lie on the side of the tool and prepare to do the display according to the activity to be done. Then the tool will calculate automatically and will enter the website data.
Duck Egg Hatching Incubator Technology Based On Internet of Things
Authors: Kurniawan Medy Dwi , Styawati Styawati , Hepri Alfian
Published: February 2025

The egg incubator was originally a simple tool using a lamp to produce heat without other supporting tools, So the incubation process has a big influence on traditional egg hatching through the mother duck incubating the eggs. However, temperature control at the time Incubation of eggs by the parent certainly has certain limitations due to the parent which is difficult to control in order to incubate it which ultimately causes the egg to suffer hatch failure. In the process of hatching duck eggs, you must pay attention to temperature and humidity and egg rotation which must be maintained regularly, is necessary continuous supervision and monitoring so that the eggs can hatch well. By utilizing applicable Internet of Things technology in the field of animal husbandry, it is a solution to monitor the condition of hatching duck eggs automatic and real-time, so it can help farmers in monitoring conditions such as temperature and humidity as well as the condition of the eggs in the hatching room. So A research was conducted entitled "Duck Egg Hatching Incubator Technology Internet of Things” was carried out with the aim of making things easier for breeders monitor temperature and humidity and monitor conditions inside real time drip space.
Image Classification of Organic and Inorganic Waste Using Convolutional Neural Networks
Authors: Mubarokhh Fahmi Wafi
Published: February 2025

Indonesia will become the third largest contributor of plastic waste in the world in 2024. This is due to the suboptimal management and recycling of waste. One way to reduce the accumulation of waste in the environment is through waste separation as the first step in recycling. In the field of informatics engineering, this process can be implemented using Convolutional Neural Network (CNN), a deep learning method designed to recognize and classify objects in digital images. This study aims to develop a high-accuracy CNN model for waste type classification using the TensorFlow framework. The analysis was carried out to determine the most appropriate CNN architecture in separating waste optimally. By implementing this algorithm, an automatic waste separation system can be built to support the efficiency of the recycling process. This research is expected to accelerate and simplify the waste separation process, while encouraging more effective waste management.
Research on the Development of Intelligent Financial Education in the Era of Artificial Intelligence
Authors: Liang Tingting , Zhang Hao
Published: February 2025

With the continuous progress of the digital era, artificial intelligence is increasingly interwoven with various fields. This paper focuses on the current status of financial management courses, applies the SWOT analysis method to analyze the current situation of the development of financial education, proposes the problems existing in current courses, discusses the limitations of traditional teaching, explores the application of AI technology in financial management education, improves and refines course design, breaks the limitations of traditional teaching methods, emphasizes the integration of theory and practice, enhances students' professional competence, cultivates financial management thinking, and builds an intelligent teaching platform. On this basis, it discusses the specific applications of AI in three parts: designing basic courses, cultivating professional competence and thinking, and building a teaching platform. The aim is to innovate financial management education, promote its sustainable and innovative development, and cultivate high-quality talents who can meet the needs of the future financial industry.
Development of an Interest- and Skill-Based Expert System for Student Career Decisions
Authors: Amin Angger Nur , Riska Suastika Yulia
Published: February 2025

This study examines an expert system for assessing student career paths based on interests and competencies. This approach is intended to assist Informatics Engineering students in identifying a career trajectory that aligns with their profile. This system is anticipated to be an effective solution, given the growing demand for students to receive pertinent career guidance, as numerous students encounter difficulty in selecting a career path that aligns with their competencies. This expert system is developed by aggregating data concerning students' interests and skills, thereafter processed through the forward chaining approach to align facts and rules inside the knowledge base. Furthermore, the certainty factor approach is employed to assess the degree of certainty for each career recommendation provided. The algorithm can generate pertinent career recommendations depending on the student profile and the degree of certainty of the results. The system is evaluated against expert suggestions to verify the accuracy and relevance of the outcomes. The testing of several datasets indicates that the algorithm can deliver career suggestions aligned with expert outcomes. The findings indicate that 100% of the test outcomes align with the validation results provided by experts. So, this system can be a useful tool that helps students choose a job path and can also help with career counseling at schools.