bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementasi Media Visual pada Mata Pelajaran Bahasa Indonesia Kelas II SDN Dukuh Kupang 1 Surabaya
Authors: Fitria Amalia Nur , Sunaryo  , Kriswati
Published: October 2024

Setiap siswa memiliki karakteristik yang berbeda. Selain karakter siswa, penggunaan media menarik dan sesuai kebutuhan juga mempengaruhi kemampuan belajar. Penelitian Tindakan Kelas ini bertujuan untuk mengevaluasi penerapan media visual berupa PowerPoint dalam pembelajaran bahasa Indonesia khususnya mengenai pemanfaatan daur ulang sampah anorganik pada kelas II di SDN Dukuh Kupang 1-488 Kota Surabaya. Penelitian tindakan kelas ini menggabungkan 2 data yaitu kualitatif dan kuantitatif dengan subjek penelitian berupa siswa kelas II sebanyak 28 orang. Lokasi penelitian di SDN Dukuh Kupang 1-488 Kota Surabaya. Teknik pengumpulan data meliputi observasi serta lembar pre-test dan post-test. Analisis data dilakukan dengan menggunakan metode kualitatif dan kuantitatif. Analisis kualitatif menggunakan model Milles dan Hubberman yang meliputi tahapan pengumpulan data, analisis data dan penarikan kesimpulan. Sedangkan analisis kuantitatif dilakukan dengan menggunakan SPSS dan uji T. Hasil penerapan media visual dalam pembelajaran bahasa Indonesia tentang pemanfaatan daur ulang sampah anorganik pada kelas II di SDN Dukuh Kupang 1-488 Kota Surabaya menunjukkan peningkatan nilai siswa yang signifikan. Rata-rata nilai pre-test siswa sebesar 60, sedangkan rata-rata nilai post-test sebesar 82. Dengan demikian, dapat disimpulkan bahwa media visual dapat meningkatkan pemahaman siswa kelas II pada pembelajaran bahasa Indonesia mengenai pemanfaatan daur ulang sampah anorganik.
Análisis de los factores de riesgos ergonómicos de una industria procesadora de alimentos en Guayaquil, Guayas
Authors: Druet Rodríguez Felipe Alfonso , Buenaño Buenaño Edison Noe
Published: October 2024

La industria procesadora de alimentos enfrenta desafíos ergonómicos significativos que impactan la salud y el bienestar de sus trabajadores. Este estudio se centra en analizar los factores de riesgo ergonómico en una industria alimentaria ubicada en el cantón Guayaquil, provincia del Guayas, Ecuador. Para ello, se establecieron tres objetivos específicos: i) identificar las funciones clave en los procesos operativos; ii) evaluar los factores de riesgo ergonómico presentes en el área productiva mediante el método REBA; y iii) proponer medidas de control para mitigar estos riesgos. Se adoptó un enfoque cuantitativo para analizar las condiciones laborales de 29 trabajadores, distribuidos en diferentes roles: operadores (21%), selladores (38%), codificadores (17%) y envasadores (24%). El método REBA clasificó los niveles de riesgo ergonómico desde "inapreciable" hasta "muy alto". Los resultados mostraron que los operadores y selladores presentan un riesgo elevado debido a posturas forzadas y movimientos repetitivos, mientras que los codificadores y envasadores se encuentran en un nivel de riesgo medio. Estos hallazgos subrayan la necesidad urgente de implementar medidas preventivas, como la reestructuración de puestos de trabajo y capacitación en ergonomía. Este estudio destaca la importancia de identificar y abordar los factores de riesgo ergonómico, contribuyendo a un entorno laboral más seguro y saludable, lo que mejora el bienestar de los trabajadores y potencialmente incrementa la productividad de la empresa
IMPERATIVES OF AI TO THE CONDUCT OF A FREE, FAIR, AND CREDIBLE ELECTION IN AFRICA
Authors:   Caleb University, Imota Lagos, Nigeria, Osemuyi Oseghale Christian
Published: October 2024

The conduct of free, fair, and credible elections is the global benchmark for maintaining the integrity and legitimacy of electoral processes; however, this continues to be a significant challenge in Africa due to factors such as political instability, a lack of resources, and historical legacies of authoritarian rule. Although some African nations have deployed technologies such as the Biometric Voter Authentication System (BVAS) to assist minimize these issues, the challenges appear to be ubiquitous, prompting a need for the implementation of artificial intelligence (AI). AI has the potential to dramatically influence the conduct of free, fair, and credible elections in Africa by improving different facets of the electoral process. AI technology can help with voter registration, education, election monitoring, fraud detection, and result tabulation. Election management authorities and stakeholders may increase electoral transparency, efficiency, and accountability by utilizing AI technologies and algorithms. Using a mix-method approach, this paper examines how AI technologies can help to improve various aspects of the electoral process, such as voter registration and education, monitoring, fraud detection, and result tabulation, and concludes that AI has the potential to revolutionize election administration in Africa by increasing transparency, efficiency, and credibility. The use of artificial intelligence in guaranteeing free, fair, and trustworthy elections is critical to the continent's democratic process. Addressing election difficulties front on, African countries will strive to develop more democratic and accountable government institutions that represent their citizens' wishes.
The Perceived Impact of Basic Need Insecurity on Social Work Student Success
Authors:   , Downes Amy
Published: October 2024

The purpose of this qualitative research study was to explore the lived experiences of undergraduate social work students who self-identify with struggling to meet their basic needs. Through individual in-depth semi-structured interviews coupled with photo-elicitation, several important considerations for social work educators and leaders emerged including: how undergraduate social work students define success; academic, social and financial barriers to learning; work-school balance; strategies for coping; messages for social work faculty and college/university administrators about their experience; adverse childhood events; and, the role of the academic advisor. The findings of this study can be utilized to help inform social work faculty and social work professionals who are employed at institutions of higher education regarding the needs and challenges facing students. Additionally, awareness of the issues and challenges facing these students can lead to advocacy regarding policies that impact students such as requirements for food stamps and affordability of college.
Human Behavior in the Political Environment: A Content Analysis of Political Content in HBSE Textbooks
Authors:   , Young Brendan
Published: October 2024

To address the problem that social workers feel inadequately prepared to engage in the political system, the current study utilizes a content analysis approach to review political participation content in Human Behavior in the Social Environment (HBSE) textbooks. Thus, this study seeks to address the question: How do HBSE textbooks address political components of CSWE EPAS Competency 5: Engage in Policy Practice? Initially, literature regarding social work political participation and political practice in social work curriculum as well as an overview of competency-based education is provided. Additionally, a review of the Civic Volunteerism Model, Systems Theory, and Bloom’s Taxonomy is explored. Through the Council on Social Work Education’s (CSWE) Competency 5, the Civic Volunteerism Model, Niemi et al. (1991) internal political efficacy scale, and Bloom’s Taxonomy, a coding rubric incorporating twelve political practice activities was developed. The coding rubric was used to review for frequency of political content, both implicitly and explicitly, as well as the integration of political content in textbook learning objectives. Utilizing the Faculty Center Network (FCN), a sample of six HBSE textbooks was developed. In total, 607 learning objectives were reviewed, of which 222 incorporated political components of Competency 5. The content analysis identified three key findings. Primarily, while political themes are addressed in HBSE textbooks, these themes are largely implicit and tend to ignore the role that politics play in individual development. Additionally, learning objectives do not adequately connect political practice to social work practice. Also, the textbooks did not include any learning objectives related to the electoral system, ignoring the role of electoral advocacy. The findings of the present study necessitate that future HBSE textbooks include more explicit connection to political participation in chapter learning objectives. Political content must also integrate throughout textbooks and should not just cluster in chapters and books addressing macro practices. Additionally, textbooks must clearly link social work practice with policy practice. Finally, textbooks must incorporate components of electoral advocacy. The current exploratory content analysis is only an initial step in understanding the role social work education plays in preparing political practitioners.
Social Work’s Contribution to Research Regarding Suicide Among African Americans
Authors:   , Reed Darius
Published: October 2024

Suicide among African Americans has increased significantly in the past 15 years, yet it remains a neglected topic in social work research. Social workers are the largest direct provider of mental health services in the United States. However their valuable person-in-environment perspective has not been incorporated into research to provide insight on ways to decrease incidents of suicide among African Americans. This systematic review examines social work’s contribution to suicide research while focusing on the social context in which African Americans live. The systematic review also examines protective factors specific to African Americans that can be used to mitigate suicide risk while utilizing critical race theory (CRT) as a lens to understand how ongoing oppression has led to increased incidents of suicide and why treatment interventions continue to be generalized. Implications are provided for practice, research, and education, while incorporating CRT into social work practice.
Coronavírus e síndromes respiratórias agudas (MERS e SARS): Sintomas, diagnóstico e abordagens terapêuticas
Authors: Amorim Bruna Leticia Matos , Junior Marcio Andre da Silva , Silva Daniel Jean Rodrigues da , Lopes Samuel Sousa , Aissami Nadia , Silva Andressa Aguiar da , Albuquerque Camylle Judite Sabino Chaves , Ramos Paula Elisa Rodrigues , Magalhães Marco José Moura , Silva Geane Pires , Rampinelli Ludmilla Sarah de Oliveira Araújo , Farias Adriana Ribeiro Aquino , Teixeira Igor Luis Lins , Valiante Victor Hugo dias de Souza
Published: October 2024

A Síndrome Respiratória do Oriente Médio (MERS) e a Síndrome Respiratória Aguda Grave (SARS) são doenças respiratórias severas causadas por coronavírus, que emergiram como preocupações significativas para a saúde pública global. A SARS, identificada pela primeira vez em 2002, levou a um surto devastador com alta taxa de letalidade, enquanto a MERS, detectada em 2012, também apresentou uma elevada mortalidade, principalmente em indivíduos com comorbidades. Ambas as síndromes demonstram a capacidade dos coronavírus de causar epidemias e ressaltam a necessidade de vigilância epidemiológica, pesquisa contínua e desenvolvimento de estratégias eficazes de controle e tratamento para mitigar seus impactos. Essa revisão de literatura foi realizada por meio de publicações científicas encontradas nos seguintes bancos de dados: Biblioteca Virtual de Saúde (BVS), Public Medline (PubMed), Portal de Periódicos CAPES e Scientific Electronic Library Online (SciELO), sem restrição de período. Foram também consultados os sites oficiais do Ministério da Saúde e a literatura cinzenta. A Síndrome Respiratória Aguda Grave (SARS) destacou a capacidade dos coronavírus de provocar surtos globais significativos, ressaltando a vulnerabilidade das populações humanas a patógenos emergentes. O tratamento da SARS é baseado em cuidados de suporte, dado que não existem antivirais específicos, o que reforça a necessidade de medidas rigorosas de controle de infecção e isolamento. A experiência adquirida influenciou abordagens para epidemias subsequentes, como a MERS e a COVID-19, sublinhando a importância de investir em pesquisa e desenvolvimento de vacinas. A colaboração entre cientistas e autoridades de saúde pública é fundamental para enfrentar desafios de saúde global e proteger populações.
The Role of Complexity Theory as a Foundation for Taking a Systems Approach in Your Organization
Authors: Westover Jonathan
Published: October 2024

This article examines how leaders can apply concepts from complexity theory to take a systems-based approach to navigating organizational complexity. It first defines key ideas from complexity science such as complexity theory, which views organizations as existing in a state of productive tension at the "edge of chaos" rather than under pure control, a systems approach that recognizes organizations as interconnected networks of interdependent parts, and complex adaptive systems characterized by self-organization. The article then discusses how leaders can establish clear yet flexible goals and direction, loosen central control to allow decentralized experimentation, promote transparency, and embrace diversity to foster conditions for bottom-up self-organization. It also explores developing networked mindsets through cross-functional teams, relationship building, and transparent information sharing to enhance emergent coordination. Additionally, the article emphasizes cultivating attentiveness to subtle changes and disturbances by establishing early warning systems and experimenting quickly, as well as nurturing an adaptive culture through innovation, reskilling, and rapid pilot-based learning to sustainably renew the organization amid nonlinearity and uncertainty.
The Role of Digital Media in Optimizing Project-Based Learning to Practice 21st Century Skills
Authors: Sinta Dewi , Faqihuddin Achmad , Nurhuda Abid , Ab Rahman Engku Shahrulerizal Bin Engku
Published: October 2024

The utilization of digital media in learning is crucial in the current era of education, especially in training 21st-century skills. This study explores digital media's role in optimizing project-based learning in an Islamic high school in Indonesia. The selection of this school as the research subject is based on the utilization of digital media in the learning process, which has been carried out regularly, so it is beneficial in optimizing project-based learning. This research uses a qualitative approach with a case study design. Data collection was conducted through observation, interview, and document analysis. Data analysis techniques include reduction, display, verification, and conclusion drawing. The results showed that examples of project-based learning activities in this school include learning to make dioramas from recycled paper, resin bed lamps, generator mock-ups, environmental campaign posters, and plant naming signs. These project-based learning activities are instrumental in training students' 21st-century critical thinking, creativity, digital literacy, collaboration, and problem-solving skills. Digital media in this study acts as an idea generator and inspiration to find much scientific information, not least related to making name signs on a plant. This study indirectly contributes insight into examples of teacher creativity regarding the use of digital media to create interesting and meaningful learning.
PENGARUH KOMPETENSI DOSEN TERHADAP MOTIVASI BELAJAR MAHASISWA SEMESTER III B STIPAS KAK TAHUN AKADEMIK 2021/2022
Authors: Oetpah Dorince , Ngongo Maria H. Lidya
Published: October 2024

Salah satu aspek penting dalam menunjang prestasi mahasiswa adalah kemampuan dosen dalam menerapkan ilmunya secara baik dan benar. Tulisan ini bertolak dari suatu kajian riset dengan berfokus pada kompetensi dosen yang mempengaruhi motivasi belajar mahasiswa. Tujuan dari penelitian ini adalah untuk mengetahui tentang gambaran kompetensi dosen yang memotivasi belajar mahasiswa semester III B STIPAS KAK dan juga untuk melihat apakah ada pengaruh yang positif dan signifikan antar kompetensi dosen dan motivasi belajar para mahasiswa. Hal ini karena dilihat bahwa motivasi belajar semester IIIB STIPAS masih rendah. Meskipun perkuliahan daring selama pandemi covid-19 diselingi dengan perkuliahan tatap muka, tetapi masih saja ditemukan mahasiswa yang tidak mengikuti perkuliahan dengan bertanggung jawab. Penelitian Ini Menggunakan Metode Kuantitatif. Proses Pengumpulan Data Dilakukan Dengan Menyebarkan Angket Kepada 36 Orang Mahasiswa Semester IIIB STIPAS Keuskupan Agung Kupang Tahun Akademik 2020/2021. Pada hasil analisis statistik deskriptif, capaian indikator untuk Variabel Kompetensi Dosen sebesar 56,52%, artinya variabel ini berada pada kategori cukup baik. Persentase ini menjelaskan bahwa Kompetensi Dosen merupakan salah satu faktor yang mempengaruhi Motivasi Belajar Mahasiswa Semester IIIB STIPAS KAK. Dengan demikian, dapat dikatakan, naik atau turunnya Prestasi Belajar Mahasiswa Semester V STIPAS KAK ditentukan juga oleh naik turunnya (baik-buruknya) Kompetensi Dosen.
Desarrollo cognitivo y los niños nacidos en el año 2020 en comunidades rurales de Imbabura
Authors: Hidalgo Hidalgo Germán Manolo
Published: October 2024

Desarrollo cognitivo y los niños nacidos en el año 2020, aborda una parte de la realidad que la sociedad post pandemia Covid-19 a nivel mundial y local enfrenta; en la búsqueda de una posible repercusión en la niñez nacida en pandemia, mediante la práctica de la evaluación no clínica plantea diagnosticar el desarrollo del área cognitiva de los niños nacidos en las comunidades rurales de la provincia de Imbabura en el 2020, aplicando el Inventario de Battelle, en la versión Test Screening (TS) subáreas: Memoria, Desarrollo Conceptual y Discriminación perceptiva, ítems 85, 86, 87 y 88. Metodológicamente se realiza una revisión documental, aplica el TS obteniendo datos mediante la observación al total de la población, estos son sometidos al análisis estadístico de los que se obtiene resultados que permiten concluir la existencia de altas probabilidades de un atraso en el desarrollo cognitivo de la primera infancia post pandemia.
Hacia una crítica de los usos del archivo. El caso de un documento anónimo asociado a Arturo Jauretche entre los papeles de Perón
Authors: Friedemann Sergio
Published: October 2024

This paper presents a preview of an ongoing research about the correspondence in exile of Juan D. Perón. The purpose is to show that access to the original documents could be essential to approach archives from a critical methodological perspective. A personal experience in which it was inferred the authorship of an anonymous document mistakenly associated to Arturo Jauretche will be narrated, and there will be critical review regarding the uses of archives that allow literal transcriptions of documents on different platforms. If archivists decide what should be preserved and what should be dismissed, and also how to organize the material offered to the public, academic investigations do not always make a critical use of the archives that would allow a review of those previous decisions. The main materials selected for this paper are documents from the Juan Domingo Perón Papers’ collection of the Hoover Institution, Stanford University, California.
¿Vecindad amenazante o integración binacional? Concepciones comparadas de senadores argentinos en torno al litigio por los Hielos Continentales en la década de 1990
Authors: Di Renzo Cristian
Published: October 2024

This article analyzes the positions of Argentine senators Alfredo Avelín and Carlos Leonardo de la Rosa regarding the Continental Ice litigation in the 1990s. The arguments that both senators developed for and against the Treaty and its background. The sources consulted include the Diary of Sessions of the Senate of the Nation on June 2 and 3, 1999, as well as the works Hielos Continentales Patagonicos and Acuerdo sobre los Hielos Continentales. It is hypothesized that Avelín uses arguments based on confrontational geopolitical conceptions that support the idea of ​​a “threatening neighborhood”. On the other hand, it is argued that de la Rosa justifies his conciliatory position through the concept of regional integration. In addition, it is argued that the current context favors de la Rosa more than Avelín, due to the progress towards the formation of an ascending security community between Argentina and Chile.
Aproximación al patrimonio histórico azucarero de San Luis, Santiago de Cuba, desde los fondos documentales del Archivo Histórico Municipal
Authors: González Melba Pérez , Díaz Palomo Alina
Published: October 2024

An insight into the sugar historical heritage of Cuba should be focused further than its economic, political and social conditioning factors; it also needs an immediate rescue, considering it as part of its national identity. This article exposes the possibilities that the documentary collections existing in the Municipal Historic Archive of San Luis, Santiago de Cuba, about the agro-industrialcomplexes of Rafael Reyes, Chile and Paquito Rosales, offer to the researchers for the study of this locality´s sugar patrimony. Therefore, the article focuses on exposing the scope and contents of the sections and documentary series, classified and organized in order to facilitate the mechanisms of searching and accessing the processed information. Finally, it presents the documentation available in the archive and its accessibility, detailing the information offered by each of them and facilitating the investigative work of scholars on the theme.
PRÁTICA DA SUPERVISÃO PEDAGÓGICA NAS ESCOLAS: Análise no Contexto da Promoção da Qualidade de Ensino Escolar
Authors: Meia Aleque Joaquim , Gonçalves Bruno F.
Published: October 2024

A supervisão pedagógica é das principais práticas utilizadas pelas escolas para garantir a qualidade e melhorar o desempenho dos alunos. Este artigo permitiu analisar como a supervisão pedagógica é praticada em Moçambique e como essa prática contribui para a promoção da qualidade de ensino. A revisão da literatura indica que a supervisão pedagógica é uma prática que visa aprimorar o trabalho docente, identificar dificuldades e propor soluções. O estudo foi realizado com suporte na metodologia qualitativa com enfoque interpretativo. Foram adotados como instrumentos de recolha de dados a entrevista semiestruturada que foi aplicada a seis professores de duas escolas primárias do primeiro e segundo grau. Para a análise dos dados, usou-se a técnica de análise de conteúdo de forma a encontrarem-se os demais sentidos de resposta aos nossos dois objetivos. Os resultados evidenciam que a supervisão pedagógica ainda é pouco praticada de forma sistemática nas escolas, muitas vezes sendo reduzida a visitas esporádicas de supervisores aos professores, o que é manifestamente insuficiente para cumprir este propósito. Concluí-se, portanto, que a supervisão pedagógica é uma prática importante para a promoção da qualidade de ensino escolar, mas é necessário que ela seja praticada de forma rigorosa e sistemática, com formação adequada dos supervisores e engajamento dos professores.
Strategi Kemajuan Pendidikan Di Pondok Pesantren Modern Nurussalam
Authors: Nur Hidayah
Published: October 2024

Manajemen strategis adalah seni dan ilmu penyusunan, penerapan, dan evaluasi keputusan - keputusan, manajemen strategis berfokus pada proses penetapan tujuan organisasi, pengembangan kebijakan dan perencanaan untuk mencapai sasaran, serta mengalokasikan sumber daya untuk menerapkan kebijakan dan merencanakan. Sistem efektif dan efisien yang terbangun dalam perusahaan sangat bermanfaat dan menguntungkan bisnis. Namun, semua itu tidak mencukupi untuk memenangi persaingan yang makin ketat. Menurut para ahli, seorang pebisnis mesti menguasai dan menyiapkan manajemen strategis, dengan begitu kekuatan bisnis bisa meningkat dan keuntungan pun berlipat. Demikian juga pada pengelola pendidikan harus mampu memajukan pendidikan dengan menggunakan manajemen strategi yang tepat dan efisien agar Pendidikan lebih maju dan berkembang. Di Pondok Pesantren Modern Nurussalam menerapkan beberapa strategi dalam pengembangan dan peningkatan kualitas Pendidikan.
Manajemen Sarana Dan Prasrana Dalam Meningkatkan Proses Pembelajaran Di MTs YPI Darul Huda OKU Timur
Authors: Agus Siswanto  , Tri Rahayu
Published: October 2024

Optimalisasi manajemen sarana dan prasarana dalam meningkatkan proses pembelajaran di MTs YPI Darul Huda OKU Timur adalah proses atau cara agar program yang telah direncanakan dengan terencana guna mencapai tujuan atau target sehingga dapat meningkatkan kinerja secara optimal. Dan agar suatu tindakan atau kegiatan tersebut dapat meningkat dan lebih baik terutama bagian sarana dan prasarana yang dapat menunjang proses pembelajaran dan sangat dibutuhkan proses pendanaan yang sangat memadai. Adapun yang menjadi permasalahan dan tujuan penelitian ini adalah untuk mengetahui Apa saja pengoptimalisasian manajemen sarana dan prasarana di MTs YPI Darul Huda OKU Timur. Dan apa saja foktor pendukung dan penghambat manajemen sarana dan prasarana  di MTs YPI Darul Huda OKU Timur. Penelitian ini dilakukan di Madrasah Tsanawiyah Darul Huda. Jenis penelitian ini adalah penelitian lapangan dengan menggunakan metode penelitian deskriptif kualitatif, yaitu penelitian mengamati dan berinteraksi langsung dengan kepala sekolah, Ketua Sarana dan Prasarana, Guru dan Siswa di MTs YPI Darul Huda melalui metode wawancara, obserfasi, dan dokumentasi. Hasil penelitian menunjukan bahwa dengan adanya penelitian di sekolah MTs YPI Darul Huda kondisi sarana dan prasarananya sudah optimal sesuai dengan program perencanaan.
Hasil Belajar Siswa Kelas III SDN Plosorejo Ogan Komering Ulu Timur Pada Mata Pelajaran Matematika Materi Perkalian Dengan Menggunakan Metode Jarimatika
Authors: Isnaini Sulistyani
Published: October 2024

Penelitian ini memiliki tujuan untuk menilai keberhasilan Metode Jarimatika dalam meningkatkan pencapaian belajar matematika pada siswa kelas III di Sekolah Dasar Negeri Plosorejo, terutama dalam materi perkalian. Metode Jarimatika merupakan pendekatan yang menyampaikan konsep dasar matematika secara sederhana dan menyenangkan kepada anak-anak, melibatkan pemahaman konsep angka, simbol numerik, operasi dasar matematika, serta menggunakan jari-jari sebagai alat bantu. Proses pembelajaran ini dirancang untuk memberikan inspirasi dan kegembiraan kepada siswa. Penelitian ini dilakukan dalam dua siklus pengumpulan data yang melibatkan metode observasi dan tes. Hasilnya menunjukkan peningkatan dalam prestasi belajar matematika siswadari siklus pertama ke siklus kedua. Pada awalnya, rata-rata nilai tes matematika siswa adalah 57.538 pada siklus pertama, meningkat menjadi 69.076 pada siklus kedua. Tingkat penyelesaian tugas juga mengalami peningkatan yang signifikan dari 0% pada siklus pertama menjadi 85% pada siklus kedua. Selain itu, persentase ketuntasan belajar juga meningkat secara nyata, dari 5% pada siklus pertama menjadi 15% pada siklus kedua. Dengan demikian, dari hasil penelitian ini dapat disimpulkan bahwa Metode Jarimatika efektif dalam meningkatkan hasil belajar matematika siswa kelas III di Sekolah Dasar Negeri Plosorejo pada materi perkalian. Pendekatan ini terbukti berhasil dan layak untuk diterapkan dalam proses pembelajaran di kelas.
Teman Sebaya Anak Usia Sekolah Dasar
Authors: Siti Mastiyah
Published: October 2024

Teman sebaya adalah  anak-anak atau remaja yang memiliki usia atau tingkat kematangan yang kurang lebih sama yang saling berinteraksi dengan kawan-kawan sebaya yang berusia sama dan memiliki peran yang unik dalam budaya atau kebiasaannya. Barker dan Wright mencatat bahwa anak-anak usia 2 tahun menghabiskan 10 % dari waktu siangnya untuk berinteraksi dengan teman sebaya meningkat menjadi 20 %. Sedangkan anak usia 7 hingga 11 tahun meluangkan lebih dari 40% waktunya untuk berinteraksi dengan teman sebaya. Para ahli perkembangan 4 kategori umum penerimaan teman sebaya : a) Anak-anak yang popular (popular children) anak-anak yang sering kali dipilih sebagai teman terbaik dan jarang tidak disukai oleh teman sebayanya. b) Anak yang diabaikan (neglected children)  anak-anak yang jarang dipilih sebagai teman terbaik namun tidak ditolak oleh teman sebayanya. c) Anak yang ditolak (rejected children) anak-anak yang jarang dipilih sebagai teman terbaik seseorang dan secara aktif tidak disukai oleh teman sebayanya. d) Anak yang controversial (controversial children) anak-anak yang sering dipilih sebagai teman terbaik seseorang dan umumnya tidak disukai oleh teman sebayanya.  Dalam hubungan pertemanan sebaya pada anak dapat menimbulkan dampak positif dan negatif. Adapun dapak positif  nya yaitu : pertama, kelompok teman sebaya membantu anak-anak  belajar bagaimana hidup bersama di masyarakat, Kedua, dalam kelompok teman sebaya, individu dapat mencapai kebebasan sendiri, kebebasan disini diartikan sebagai kebebasan untuk berpendapat, bertindak atau menemukan identitas diri. sedangkan dampak negatifnya yaitu: teman sebaya dapat memperkenalkan remaja pada alkohol, obat-obatan (narkoba), kenakalan, dan  bertingkahlaku anti sosial lainya. Anak praremaja  sangat rentan terhadap  tekanan untuk meniru, dan tekanan ini dapat mengubah anak yang bandel menjadi seorang kriminal. Fungsi dari persahabatan yaitu: a) Sebagai kawan (companionship), b) Sebagai pendorong (stimulation), c) Sebagai dukungan fisik (physical support), d) Sebagai dukungan ego (ego support), e) Sebagai perbandingan sosial (social comparison).
Classification of Alzheimer's disease with EfficientNet B3
Authors: Tekin Ruken , Onur Tuğba Özge
Published: October 2024

Alzheimer's disease (AD) is a condition that manifests as a loss of consciousness and cognitive dysfunction, eventually leaving the individual incapable of performing basic functions. The process culminates in death. The brain anomalies caused by the disease can be monitored using magnetic resonance imaging (MRI). This study aims to facilitate the clinical diagnosis of AD and proposes a hybrid model to classify the stages of the disease. The magnetic resonance images used in the study were obtained from the Kaggle database and include the classes non-demented, very mild dementia, mild dementia, and moderate dementia. Background removal was applied to the images, which were then segmented using the k-means clustering method. By combining EfficientNet B3 and the Gray Level Co-Occurrence Matrix (GLCM) feature extractor, this hybrid model was trained to perform the classification task. The model was trained five times, and experimental results were recorded. In training, the batch size was set to 18, the number of epochs was 20, and the learning rate was set to 0.0001. Experimental results showed an average training accuracy of 99.99% and a testing accuracy of 99.67%. Additional performance metrics, such as precision, recall, and F1-score, are also reported.
Dünya dışı ortamlarda madencilik yapma olasılıkları: Ay ve Mars örneği
Authors: Sendir Hüseyin , Mohammed Ali Zahraa Khalid
Published: October 2024

Gezegenimizin doğal kaynakları sınırlıdır ve artan nüfus ve tüketim seviyeleri nedeniyle hızla tükenmektedir. Bu senaryo, gelecekte temel hammaddelerin kıtlığına ve ardından fiyat artışlarına neden olabilir. Bu nedenle alternatif kaynaklara olan talep her geçen gün artmaktadır. Ay ve Mars, Dünya'ya yakınlıkları ve bol mineral kaynakları nedeniyle dünya dışı madencilik için en uygun olanaklardır. Uzay madenciliği, Ay ve Mars gibi göksel gezegenlerden kaynakların çıkarılması, işlenmesi ve ticari ürünlere dönüştürülmesini kapsar. Ay'da su buzu, helyum-3, nadir toprak elementleri ve metaller gibi zengin kaynaklar bulunurken Mars'ta su buzu, demir, magnezyum, alüminyum ve diğer metaller bulunmaktadır. Uzaydan elde edilen kaynaklar Dünya'daki kaynak açığını kapatabilir ve teknolojideki ilerlemeleri teşvik edebilir. Ay ve Mars'ta madencilik yapmanın önündeki engeller teknolojik sınırlamaları, dünya dışı ortamın ağır koşullarını ve kaynak çıkarma ve işleme ile ilgili önemli masrafları kapsamaktadır. Bununla birlikte, bu engeller gelecekteki teknolojik yenilikler ve uzay sektörünün ilerlemesiyle aşılabilir.
Editorial Introduction to Issue 40 of CSIMQ: Managing Different Forms of Complexity
Authors: Pańkowska Małgorzata , Nazaruka Erika
Published: October 2024

The systems considered in the presented research can be characterized as dynamically complex open systems, which means that “the system’s coherence lies not only within the system itself but also in its relationship with the environment”. We can observe four forms of complexity: dynamic, architectural, relational, and generative. There is no doubt that modern complex systems combine these forms. By analyzing different datasets, the researchers deal with relational and dynamic complexity. If analysis is focused on organizing architectural principles, then we may talk about architectural and relational complexity. Trying to solve problems of uncertainty in processes, we face dynamic, architectural, and relational complexity. The adaptivity of systems tells us about their generative complexity. This journal issue is devoted to managing the architectural, dynamic, and relational complexity of the considered systems.
Machine Learning Analysis of Arterial Oscillograms for Depression Level Diagnosis in Cardiovascular Health
Authors: Kaverinsky Vladislav , Vakulenko Dmytro , Vakulenko Liudmyla , Malakhov Kyrylo
Published: October 2024

The presented study explores the clustering of arterial oscillogram (AO) data among a sample of patients, focusing on ultra-low-frequency (ULF) indicators and their relationship with depression levels. Through dimensionality reduction using UMAP, two distinct classes emerged, categorized as lighter and more severe cases. Utilizing machine learning methods, an automated classifier was developed based on correlated ULF indicators, which led to improved classification accuracy. By incorporating ULF parameters, products of correlated parameters, and additional measured factors, the classifier achieved high reliability in estimating depression levels. Specifically, the nearest neighbors method yielded accuracies up to 0.9792. This research supports the creation of an automated diagnostic classification AI service capable of reliably estimating at least four levels of depression based on AO analysis.
A Deep Learning Approach for Enhanced Real-Time Prediction of Winter Road Surface Temperatures in High-Altitude Mountain Areas
Authors: ZHANG Meng , GUO Hua , LI Jing-yang , LI Li , ZHU Feng
Published: October 2024

Low temperatures and icing in winter are significant factors that severely affect highway safety and traffic mobility. To enhance the precision and reliability of real-time winter road surface temperature (RST) prediction, a short-term prediction model is developed that harnesses both feature selection and deep learning. Leveraging meteorological data from a mountain highway in Yunnan, China, the key environmental variables affecting road surface temperature were first extracted using a random forest (RF) model for feature selection. These features were then combined with RST data to construct multiple groups of input variable combinations for the prediction model. A short-term prediction model with a 10-minute update frequency was built using a long short-term memory neural network (LSTM), namely RF-LSTM. The best input variable combination and preset parameters for the prediction model were determined through comparative testing with prevalent machine learning models, and the transferability of the prediction model was verified. The results showed that the best input variable combination for the RF-LSTM prediction model was road surface temperature and air temperature. The model recognised that the short-term RST was affected by long and short-term memory characteristics within a two-hour timeframe. When compared to the RF model, backpropagation (BP) neural network model and the standard LSTM model, the proposed model reduces prediction errors by 59.15%, 31.10% and 20.26%, respectively, while the prediction accuracy is 99.13% within an error margin of ±0.5℃. On the verification dataset, the proposed model maintains its time transferability with an average prediction absolute error of 0.0478. In all, the proposed model not only achieves a higher level of precision in real-time RST predictions but also ensures a more consistent and reliable performance under the challenging conditions of high altitude and mountainous terrain, offering enhanced support for traffic safety and road maintenance decision-making.
Optimising the Economic Feasibility of High-Speed Maglev Systems: A Simulation-Based Approach for Variable and Parameter Analysis
Authors: CUI Yong , YU Qing , MARTIN Ullrich
Published: October 2024

This study introduces an advanced software platform and process for the quantitative national economic evaluation of high-speed maglev systems, overcoming limitations of traditional methods through parameter variation experiments and automated solution search. Utilising the adapted German standardised evaluation, this research demonstrates how integrated modelling, evaluation and optimisation software can deeply analyse the impact of various variables and parameters on economic outcomes. By employing an optimisation algorithm, the software not only determines critical evaluation parameters to ensure benefits exceed costs but also deduces optimised model variables. The macroeconomic benefit-cost ratio guides the optimal design concept, with the research finding a critical value for ensuring economic feasibility. The proposed solution achieves a 22% improvement in this ratio (1.106 vs. 0.909) compared to the existing Hefei-Wuhu route, highlighting its potential for large-scale maglev implementation. Future development directions include integration with micro-simulation systems, support for random behaviour, sensitivity analysis, data-driven machine learning and enhanced user interface design for broader applicability. The findings underscore the software’s capability to provide robust, data-driven insights for economic feasibility studies of high-speed maglev systems, presenting a significant step forward in infrastructure project evaluation.
A Review of Expert Systems Integration in Signal Plan Optimisation
Authors: DEDIĆ Luka , VUJIĆ Miroslav
Published: October 2024

In urban networks, periodic peak traffic congestion often occurs during the day, namely in the morning and afternoon hours. Due to spatial constraints and the inability to increase capacity through physical road expansion, modern traffic management increasingly relies on Intelligent Transport Systems (ITS) solutions. One such solution is the integration of automatic licence plate recognition, an expert system and microsimulation tools aimed at optimising the network performance of signalised intersections within a network. Based on real-time and historical data on individual vehicle trajectories, the system predicts the route of each vehicle through the observed segment of the traffic network, determines the network load and proposes optimal signal plans. This paper provides an overview of conducted research related to the optimisation of signal plans utilising expert systems. Mathematical models for capacity and load determination, as well as computational intelligence-based systems used for signalised intersection management strategies, are described. Finally, the paper proposes a basic framework and guidelines related to the suggested system, highlighting open questions and potential challenges in its development.
Wireless Channel Propagation Model for Inland Waterway Bridge Scenario
Authors: ZHANG Yi , HU Wenfei , ZHANG JunWu , ZHANG Jing
Published: October 2024

Intelligent shipping is a crucial part of the transportation system, while inland river intelligent shipping is a major safeguard of intelligent transportation. Compared with the studies of mobile fading channels in land-based environments, less current research has focused on channel measurements and modeling for inland waterway bridge environments. In this paper, a segmenting radio channel model is proposed for inland highway and railway combined bridges. The ship's path under the bridge was divided into three phases, and the attenuation of signal strength was modelled separately for each. Hence, it shows ship-to-ship wireless channels in different areas and path loss on inland navigation bridges. A segmented model, instead of a basic path loss model, can accurately forecast path loss and provide a practical approach in ship-to-ship wireless channel transmission scenarios over bridges. Consequently, the channel measurements and modeling in the typical inland waterway are of great significance for establishing a reliable inland navigation broadband radio communication system.
Factors Influencing Sustained Use of Shared E-Scooter Services in Urban Taiwan
Authors: HUANG Fei-Hui
Published: October 2024

This study investigates the factors that drive users to sustain their usage of shared electric scooter (e-scooter) services in Taiwan, distinguishing itself from the conventional focus on predicting consumers’ initial adoption and behavioural intentions. It employs subjective rating questions, incorporating constructs related to user acceptance, attitudes and user experience (UX). Through hierarchical regression analysis of quantitative survey data, the study identifies key factors such as users’ modes of transportation, environmental attitudes, acceptance of shared services, attitudes towards private scooters, UX, total usage instances and age. However, reliance on private scooters as a mode of transportation and frequent usage of shared e-scooters negatively impact the sustained usage of these services. The research further highlights early development challenges in shared vehicle services, including concerns over personal data security, user-unfriendly system designs, lack of convenience, inadequate parking infrastructure and ineffective financial incentives. Based on these findings, the study provides recommendations for service providers and government entities to enhance service design and proactively address these challenges. Implementing these recommendations is expected to mitigate the impact of these challenges and potentially improve user acceptance, UX, and the overall sustainability of shared vehicle services.
To repeat or not repeat? A matter of economic reward and individual differences
Authors: Acconito Carlotta , Angioletti Laura , Balconi Michela
Published: October 2024

This study explores the tendency to prefer more repetitive (but highly economic rewarding) tasks over less repetitive (and less economic rewarding) tasks in a sample of junior professionals, as well as their relationship to individual differences. Behavioral performance at a novel decisionmaking task, decision-making and personality profiles were collected. Findings showed that most junior professionals seem to prefer highly repetitive tasks (with greater economic reward) than less boring and less rewarding tasks. However, a cluster approach allows distinguishing between four distinct clusters of decision-makers: the “reward seekers”, the “temporizers”, the “balancers” and the “outsiders”. Each cluster of professionals exhibits unique individual differences in terms of decision-making styles and personality profiles (except for reward responsiveness). Evaluating junior professionals decision-making profiles in choosing which tasks to carry out is extremely relevant in company selection processes, as it allows you to assign the new resource to the best job position.
Musical and verbal memory dissociation in a patient with autoimmune encephalitis
Authors: Moltrasio Julieta , Cossini Florencia , Politis Daniel Gustavo , Rubinstein Wanda
Published: October 2024

Music is emotionally arousing and activates different brain areas. Musicians with encephalitis spare musical memory. However, no prior studies have used delayed verbal and musical memory tasks in a patient with thalamic damage. The aim of the present study is to analyse a possible dissociation between verbal and musical memory in a patient with autoimmune encephalitis, who was an amateur musician. JC is a 67- years-old amateur musician with autoimmune encephalitis. He and 8 participants (musicians and non-musicians) were assessed through musical (novel excerpt recognition) and verbal memory tasks (word learning, recall and recognition), including a delayed memory task, a week later. The results showed JC had spared musical memory and impaired verbal memory, and a significant dissociation between them. The dissociation found could be due to the musical training brain plasticity. These findings support the idea of music stimuli as therapeutic tools for these patients.
Examining neuropsychological differences in adults afflicted by COVID-19 with and without anosmia
Authors: Restrepo Jorge E. , Hernández-Escobar Iván D. , Avendaño-Palencia Shirly P. , Gutiérrez-Ramírez María A. , Dorado-Ramírez Carlos A.
Published: October 2024

This study presents the outcomes of a research endeavor aimed at comparing the neuropsychological functioning of two distinct groups: one comprising individuals with both COVID-19 and anosmia, and the other without anosmia. A comprehensive neuropsychological assessment, involving ten tests, was administered to 60 participants, divided equally into two groups of 30. The group exhibiting anosmia displayed lower scores in lexical access, inhibitory control, strategy switching, visuoconstructive praxis, nonverbal memory, and verbal fluency functions. The effect sizes for these differences generally ranged from low to medium. Overall, the identified impairments strongly indicate deficits in executive functioning. Certain theories even propose that the frontal lobes may be the primary target of SARS-CoV-2 within the brain. To enhance our comprehension, future research could delve into the specific mechanisms through which the virus interacts with the prefrontal cortex, thereby illuminating the intricacies of COVID-19-related cognitive impairments.
Traición y devenir. El siglo XX: el pensamiento al lado de la historia
Authors: Hirose Jun Fujita
Published: October 2024

El siglo veinte, en su materialidad histórica, sólo conoció resistencias y nunca revoluciones. Incluso la revolución rusa de 1917 fue una resistencia. La revolución era un concepto. Durante todo el siglo pasado, la resistencia como hecho histórico y la revolución como concepto permanecían en un lado-a-lado disyuntivo, comparable a la relación audio-visual disyuntiva entre imagen y voz en el cine moderno: los poetas de la negritud al lado de las luchas de los negros por autodeterminación, Jean Genet al lado de las luchas de los palestinos contra el Estado sionista, etcétera.
Nuno Ramos entre la voz y el lenguaje: Silencio, compasión e intracuerpo de Ó
Authors: Dayrell João Guilherme
Published: October 2024

El artículo parte de la manifestación de la compasión por los animales por parte del narrador de Ó (2008), de Nuno Ramos, para investigar la recurrencia de este tema en la obra artística y literaria del autor. Para ello, propondremos una división de su obra en tres grandes zonas de intensidad basadas, en particular, en el modo en que se relacionan la voz y el lenguaje, la materia y la cultura, a saber: el silencio, la ya mencionada compasión y, por último, el intracuerpo, concepto que hemos tomado prestado del filósofo Emanuele Coccia. Por último, hemos elegido Ó como punto importante de su producción por su énfasis en las tres articulaciones.