bluuebunny/crossref_metadata_2025 huggingface dataset:
Pentingnya Motivasi dalam Meningkatkan Hasil Belajar Peserta Didik Sekolah Dasar
Authors: Utami Difa Sri , Putri Syifa Aulia , Suriansyah Ahmad , Cinantya Celia
Published: December 2024

Pembelajaran di sekolah dasar menjadi fondasi utama untuk membentuk kualitas pendidikan siswa, mencakup aspek kognitif, afektif, dan psikomotorik. Salah satu faktor penting yang memengaruhi keberhasilan belajar adalah motivasi, baik dari dalam diri siswa (intrinsik) maupun dari lingkungan (ekstrinsik). Motivasi berperan sebagai pendorong dan pengarah siswa dalam belajar. Siswa dengan motivasi tinggi cenderung lebih mudah menghadapi tantangan dan meraih hasil belajar yang baik. Namun, realitas menunjukkan bahwa banyak siswa mengalami penurunan motivasi belajar. Hal ini dapat disebabkan oleh kurang menariknya metode pembelajaran, rendahnya keterlibatan siswa, serta minimnya dukungan dari lingkungan sekolah dan keluarga.Untuk mengatasi masalah ini, diperlukan strategi pembelajaran yang relevan, interaktif, dan menyenangkan. Penelitian ini bertujuan mengkaji peran motivasi belajar dalam meningkatkan hasil belajar siswa sekolah dasar. Dengan pendekatan studi literatur, penelitian ini mengeksplorasi strategi efektif, seperti pemanfaatan media pembelajaran yang menarik, penyusunan materi yang sesuai kebutuhan siswa, serta penerapan metode interaktif. Hasil penelitian menunjukkan bahwa motivasi belajar tidak hanya memengaruhi hasil belajar tetapi juga meningkatkan partisipasi siswa. Oleh karena itu, pembelajaran perlu dirancang lebih kreatif dan inovatif untuk meningkatkan motivasi siswa dan mendukung perkembangan mereka secara holistik.
Upaya Meningkatkan Minat Baca pada Siswa Sekolah Dasar
Authors: Amalia Agnia , Suriansyah Ahmad , Cinantya Celia
Published: December 2024

Membaca memainkan peran yang sangat penting dalam kehidupan, terutama di era informasi dan komunikasi seperti sekarang ini. Aktivitas ini bukan sekadar rutinitas, melainkan jembatan menuju kemajuan dan keberhasilan di berbagai aspek kehidupan, baik dalam dunia pendidikan maupun karier. Penelitian ini bertujuan untuk menguraikan upaya-upaya yang dapat meningkatkan minat baca siswa sekolah dasar. Penelitian ini dilakukan dengan pendekatan kualitatif. Jenis penelitian yang digunakan adalah kajian pustaka, di mana data yang dikumpulkan berupa tulisan yang kemudian dideskripsikan sesuai dengan sumber yang telah diperoleh. Dalam penelitian  ini pengumpulan data  dilakukan dengan menelusuri  artikel-artikel yang ada dijurnal online Google Cendekia/Google Schoolar. Hasil yang diperoleh terdapat beberapa upaya untuk meningkatkan minat baca siswa sekolah dasar antara lain meliputi dukungan dari orang tua, guru, dan teman-teman, membiasakan siswa membaca buku sebelum pembelajaran, serta memilih bacaan yang disukai siswa namun tetap edukatif. Dari hal ini, dapat disimpulkan bahwa selain keinginan, kemauan, dan dorongan internal untuk membaca, dukungan eksternal dari orang tua dan guru juga sangat diperlukan.
Keterampilan Berbicara Siswa Sekolah Dasar Menggunakan Model Pembelajaran Role Playing
Authors: Norlatifah  , Suriansyah Ahmad , Cinantya Celia
Published: December 2024

Keterampilan berbicara sebagai kemampuan utama peserta dari dini hingga dewasa dengan tujuan bisa berkomunikasi mampu bersosial baik, ini harus dimiliki peserta didik usia sekolah dasar setelah keterampilan menyimak. Penelitian akan mendeskripsikan keterampilan berbicara melalui model role playing. Memakai Metode kajian pustaka atau studi literatur yang dilakukan dengan mengkaji artikel dan jurnal ilmiah secara lebih mendalam. Hasil dari penelitian ini adalah deskripsi pentingnya keterampilan berbicara peserta didik sekolah dasar yang dapat ditingkatkan dengan menggunakan model pembelajaran role playing. Berdasarkan hal tersebut penelitian ini menyimpulkan bahwa penggunaan model pembelajaran role playing bisa memberikan situasi pembelajaran yang berdampak terhadap pengembangan aspek-aspek keterampilan yang dimiliki peserta didik, salah-satunya dalam keterampilan berbicara.
Peran Orang Tua dalam Penerapan Strategi Pembelajaran Efektif di Rumah dalam Meningkatkan Kualitas Pendidikan Anak di Sekolah Dasar
Authors: Rizhan Muhammad Fathar Aditya , Suriansyah Ahmad , Cinantya Celia
Published: December 2024

Orang tua memiliki peran penting dalam pembentukan karakter anak sejak kecil. Orang tua dalam membentuk perkembangan umum anak anak dengan memberikan contoh yang baik, mengajarkan prinsip-prinsip moral, dan membina lingkungan yang aman dan membina. Pendekatan deskriptif kualitatif digunakan dalam penelitian ini. Temuan studi ini menunjukkan bahwa peningkatan standar pendidikan sekolah dasar untuk anak-anak sebagian besar bergantung pada partisipasi orang tua dalam menerapkan praktik pembelajaran yang baik di rumah. Oleh karena itu, pemahaman orang tua mengenai nilai keterlibatan mereka dalam pendidikan anak harus ditingkatkan. Selain itu, dukungan sekolah seperti merencanakan kelas pengasuhan anak dan menawarkan materi pendidikan yang dapat diakses di rumah merupakan langkah penting dalam memperkuat peran orang tua.
Analisis Penyelesaian Kasus Sengketa Wanprestasi di Pengadilan Agama Pekanbaru
Authors: Khoiriah Septi Anifatul , Chairunnisha Aulia , Revianto Muhammad , Prasetiyo Kania Ayu , Yuanda Edo
Published: December 2024

Tujuan penelitian ini adalah untuk mengetahui bagaimana sistem penyelesaian kasus pada sengketa wanprestasi di pengadilan yang tentunya bukan hanya di pengadilan agama pekanbaru. pendekatan yang digunakan adalah pendekatan deskriptif kualitatif. Teknik pengumpulan data ini dilakukan dengan wawancara dan dokumentasi. Berdasarkan hasil analisis yang dilakukan, Pengadilan Agama Pekanbaru Dalam hal ini kekuasaan peradilan agama berdasarkan Undang-Undang Nomor 7 Tahun 1989 peradilan agama sebagai salah satu pelaku kekuasaan kehakiman bertugas menyelenggarakan penegakan hukum dan keadilan bagi rakyat pencari keadilan perkara tertentu, antara orang yang beragama Islam, perluasan kewenangan pengadilan agama disesuaikan dengan perkembangan hukum dan kebutuhan hukum masyarakat dalam mencari keadilan perluasan tersebut meliputi bidang ekonomi syari’ah. Di dalam undang-undang Nomor 7 Tahun 1998 antara lain diatur tentang pembiayaan berdasarkan prinsip syari’ah yang dimaksud adalah aturan perjanjian berdasarkan hukum Islam.
Pembelajaran Matematika di Sekolah Dasar dengan Menggunakan Model Project Based Learning
Authors: Johannis Stepanus Surung Asi , Hafizh Muhammad Najat , Suriansyah Ahmad , Cinantya Celia
Published: December 2024

Penelitian ini memilki tujuan untuk mengembangkan ide secara lebih mendalam tentang pembelajaran matematika di sekolah dasar menggunakan model project based learning yang berdasar pada landasan-landasan teori. Metode yang digunakan pada penelitian ini yaitu metode studi pustaka, data dikumpulkan dengan mengkaji artikel dan jurnal ilmiah secara mendalam. Hasil penelitian ini adalah berkembangnya ide-ide baru dari teori tentang pembelajaran matematika di sekolah dasar menggunakan model project based learning. Dapat disimpulkan bahwa penting bagi guru untuk menggunakan model pembelajaran project based learning agar pembelajaran matematika di SD menjadi lebih kreatif dan bermakna. Pembelajaran matematika di sekolah dasar memiliki peran yang sangat penting dalam membentuk dasar pengetahuan dan keterampilan peserta didik. Sebagai mata pelajaran inti, matematika berfungsi sebagai alat untuk memahami konsep-konsep ilmiah, dan sebagai sarana untuk mengembangkan kemampuan berpikir kritis dan logis. Namun, tantangan yang dihadapi dalam pembelajaran matematika di tingkat dasar cukup signifikan. Banyak peserta didik mengalami kesulitan dalam memahami materi, yang sering kali disebabkan oleh metode pengajaran yang masih konvensional dan berpusat pada guru. Hal ini mengakibatkan rendahnya minat belajar dan hasil akademik anak didik.
Tantangan Bertani di Lahan Gambut Desa Kayu Bawang
Authors: Munir Muhammad Misbahul , Suriansyah Ahmad , Rafianti Wahdah Refia
Published: December 2024

Lahan gambut di Indonesia memiliki peran yang sangat penting dalam menjaga ekosistem dan keseimbangan lingkungan. Namun, bertani di lahan gambut menghadapi tantangan yang cukup kompleks, seperti kondisi tanah yang asam, rawan kerusakan, dan pengelolaan air yang sulit. Penelitian ini bertujuan untuk mengidentifikasi tantangan yang dihadapi petani di Desa Kayu Bawang, Kecamatan Gambut, Kabupaten Banjar, Kalimantan Selatan, serta mencari solusi untuk meningkatkan produktivitas pertanian di lahan gambut. Metode penelitian melibatkan observasi langsung, wawancara dengan petani, serta analisis data menggunakan triangulasi sumber. Hasil penelitian menunjukkan bahwa kondisi tanah gambut cenderung masam dan kurang subur, dengan tantangan utama berupa pengelolaan air yang sulit akibat tingginya permukaan air. Petani menggunakan varietas padi seperti Siam Mayang dan Siam Sekumpul yang lebih sesuai dengan karakteristik tanah gambut. Selain itu, penggunaan pupuk seperti NPK 16 Mutiara membantu menjaga kesuburan tanah selama masa tanam. Meskipun petani telah berusaha beradaptasi dengan berbagai metode pengelolaan, tantangan seperti hanya satu kali panen dalam setahun masih menjadi kendala utama. Oleh karena itu, strategi yang lebih berkelanjutan, seperti pengelolaan air yang efektif dan penerapan teknologi yang mendukung, sangat diperlukan untuk meningkatkan produktivitas pertanian di lahan gambut secara berkelanjutan.
Analisis Beta terhadap Return Saham dalam Indeks LQ 45
Authors: Anwar Anwar
Published: December 2024

In the world of investment, there is a strong correlation between risk and return. An investor must be aware of the risks that arise and the expected rate of return. The rate represents the risk of betting on a particular stock; if the rate for the stock is marginal, it also represents the risk for the stock. The purpose of the reverse listing is to determine the effect of Stock Prices on Stock Returns. Reverse listing is a type of associative listing that uses a quantitative approach. The data used in the reverse listing is the latest stock price obtained from the official website of the Indonesian Stock Exchange (IDX). The population in the reverse listing is all companies listed on the LQ 45 Index from January 2022 to December 2022, totaling around 83 companies. The sample of the initial release is based on the criteria that have been set and used by approximately 10 companies. The initial release was carried out on all companies listed in the LQ 45 Index from January 2022 to December 2022, totaling approximately 83 companies. The initial release sample is based on the criteria that have been set and used by approximately 10 companies.
Upaya Perlindungan Hukum terhadap Nasabah Perbankan melalui Prinsip Kerahasiaan Bank dalam UU No 4 Tahun 2023 tentang Pengembangan dan Penguatan Sektor Keuangan
Authors: Nayla Azarine  , Tesalonika David  , Valsifa Utami
Published: December 2024

This paper discusses the principle of bank secrecy as an important instrument in legal protection for customers, as well as its relevance in maintaining public trust in the banking sector in Indonesia. Based on the legal framework stipulated in Law Number 10 of 1998 concerning Banking and Law Number 4 of 2023 concerning the Development and Strengthening of the Financial Sector (PPSK), this study highlights the obligation of banks to protect customer data, including exceptional situations regulated by law. Normative legal research is used to analyze legal principles, laws and regulations, and related literature. The principle of bank secrecy is considered a pillar of customer trust and the main capital in the financial ecosystem. However, challenges arise when this principle conflicts with the interests of law enforcement, such as criminal investigations. The regulations strengthened by the PPSK Law provide a foundation for customer data protection while also regulating administrative and criminal sanctions for violations. On the other hand, the application of this principle also contributes to financial stability by increasing literacy and compliance with regulations. This paper recommends harmonization between the protection of customer privacy rights and the effectiveness of law enforcement to maintain the sustainability of trust in the banking sector.
Peran Strategi Manajemen Risiko dalam Meningkatkan Likuiditas dan Mengurangi Risiko Kredit di Sektor Perbankan Indonesia
Authors: Salwatul Muslimah  , Rini Puji Astuti  , Puput Dwi Wulandari  , Salsabilah Aurani Faradilah
Published: December 2024

The purpose of this study is to examine how risk management techniques can reduce credit risk and increase liquidity in the Indonesian banking industry. It used quantitative methods and collected information from 130 banking professionals through a survey created on a Likert scale ranging from 1 to 5. The Structural Equation Modeling Partial Least Squares (SEM-PLS 3) approach was used to test the hypothesis. According to research, practicing efficient risk management techniques significantly lowers credit risk while increasing liquidity. The findings of this study emphasize the crucial importance of having a strong risk management framework due to its role in ensuring financial stability and enhancing the performance of the Indonesian banking sector. The conclusion of this study offers strategic benefits to banking institutions and policymakers in maximizing risk management procedures in the face of shifting economic conditions.
Inter-relação entre asma e doenças periodontais
Authors: Spezzia Sérgio
Published: December 2024

Introdução: Doenças periodontais e sistêmicas agindo concomitantemente podem possuir  inter-relações que se acham baseadas nos fundamentos da Medicina Periodontal. Doenças periodontais compreendem patologias infecciosas imunoinflamatórias que podem afligir o trato respiratório ocasionando processos infecciosos. A asma consta de patologia inflamatória crônica que aflige as vias aéreas. Objetivo: O objetivo do presente artigo foi averiguar como pode ocorrer inter-relacionamento e evidência de manifestações clínicas entre a doença sistêmica, asma e as doenças periodontais. Metodologia: Realizou-se revisão narrativa da literatura com busca nas bases de dados LILACS, Google Acadêmico e levantamento de estudos e artigos que tratavam sobre a possível relação existente entre a doença sistêmica, asma e as doenças periodontais. Resultados: Realizou-se leitura seletiva e analítica de todos os artigos levantados e constatou-se na maioria dos estudos que a possível interação existente entre asma e doenças periodontais pode ser oriunda da patogênese manifestada concomitantemente pelas duas patologias, asma e doenças periodontais ocorrendo conjuntamente. A administração de fármacos também pode ocasionar repercussões com evidência de inter-relacionamento entre doenças periodontais e asma. Em âmbito odontológico, em decorrência da asma pode haver manifestações de xerostomia e de hipossalivação. Conclusão: Concluiu-se que a abordagem odontológica e diagnóstica executada de maneira correta em indivíduos portadores de asma pode agir preventivamente, minimizando a ocorrência de complicações sistêmicas que poderiam advir da realização de procedimentos odontológicos, concomitantemente possibilitando que esses pacientes possuam uma melhor qualidade de vida, reduzindo-se o desconforto proveniente da realização de tratamentos dentários curativos e mais complexos.
impacto da COVID-19 na saúde bucal de crianças e na vida das famílias
Authors: Araújo Gabriela Lara , Santos Letícia Emanuella Ferreira , Teixeira Victória Chaves , Goursand Daniela
Published: December 2024

Objetivo: O intuito do presente trabalho foi avaliar o impacto da COVID-19 na saúde bucal das crianças, relacionando a pandemia com a alteração de renda das famílias, o consumo de açúcar e a higienização bucal. Material e Método: A pesquisa foi aprovada pelo Comitê de Ética em Pesquisa (CAAE: 56086022.0.0000.5097) e tratou-se de um estudo transversal realizado por meio de um questionário autoaplicável para os pais/responsáveis das crianças atendidas no curso de Odontologia de uma instituição privada de Belo Horizonte. O instrumento continha 12 perguntas específicas sobre o padrão alimentar, situação financeira, higienização bucal e a ida ao dentista durante a pandemia da COVID-19. Os resultados foram analisados de forma descritiva através do programa estatístico SPSS versão 28.0 (IBM® SPSS® Statistics). Resultados: Observou-se que a COVID-19 impactou na vida financeira das famílias. 72,3% delas tiveram diminuição da renda e/ou ficaram desempregadas na pandemia. Com relação ao consumo de açúcar, para 75,5% das famílias houve um aumento do consumo dos mesmos durante a pandemia, sendo que os alimentos mais consumidos foram os alimentos industrializados (84,9%). Quanto à higiene bucal, 80,9% das crianças faziam a higienização sozinha e a frequência de escovação relatada foi entre 1-2 vezes/dia (59,6%). Conclusão: Conclui-se que a pandemia da COVID-19 afetou de forma significativa a vida das famílias das crianças que recebiam atendimento odontológico em uma instituição privada de Belo Horizonte, alterando a renda familiar, o padrão de alimentação e higienização bucal dos menores.
Pengaruh Penggunaan AI Terhadap Peningkatan Critical Thinking Mahasiswa Teknologi Pendidikan
Authors: Ayuningtyas Gina Febriliant , Fahranie Hamdah Khaila , Muslimah Intan , Hadiansyah Sansan , Elzahra Shabrina , Setiawan Budi
Published: December 2024

Penelitian ini bertujuan untuk menganalisis pengaruh penggunaan Artificial Intelligence (AI) terhadap kemampuan berpikir kritis mahasiswa program studi Teknologi Pendidikan. Menggunakan metode deskriptif dengan pendekatan kuantitatif, penelitian ini melibatkan mahasiswa angkatan 2022 Universitas Pendidikan Indonesia sebagai subjek. Data dikumpulkan melalui angket daring dan dianalisis menggunakan statistik deskriptif dan regresi linear. Hasil menunjukkan bahwa penggunaan AI secara signifikan meningkatkan kemampuan berpikir kritis, dengan kontribusi sebesar 53,2%. AI dimanfaatkan tidak hanya untuk menyelesaikan tugas secara instan tetapi juga untuk menganalisis, membandingkan, dan menyimpulkan informasi. Meski memberikan manfaat seperti efisiensi dan pemahaman materi yang lebih baik, penggunaan AI juga berpotensi menciptakan ketergantungan jika tidak dikelola dengan bijak. Oleh karena itu, diperlukan panduan dan pelatihan bagi mahasiswa dalam memanfaatkan teknologi AI secara optimal.
Influencia de los equipos de alto desempeño en las instituciones de nivel superior
Authors: Juárez Rodríguez Rubén , Reyes Valenzuela Rigoberto , López Pérez Manuel de Jesús , Torres Roa Raúl , Freeman Murguía Rose Mary
Published: December 2024

En el campo laboral de hoy en día, se requiere de personas altamente competitivas para enfrentar los cambios e innovaciones tecnológicas, considerando a cada persona como un factor importante y necesario, para lograr que las organizaciones conformen Equipos de Alto Desempeño, trasformando los Equipos de Trabajos Tradicionales, en Equipos de Alto Rendimiento o Equipos Autodirigidos, comprometidos cada uno con las personas integrantes de los equipos mencionados, esto permitirá la flexibilidad y adaptación al alto ritmo de trabajo, para desarrollar y programar las actividades de trabajo, con el fin de desarrollar las estrategias administrativas y de negocios, para alcanzar los objetivos y resultados con la mayor calidad y en el menor tiempo posible.
En las Instituciones de Nivel Superior, se requiere una mayor cantidad de Equipos de Alto Desempeño, para generar una mejor fuerza de trabajo en los proyectos asignados, con mayores resultados, aprovechando las diversas aptitudes y talentos de sus integrantes, desempeñando las tareas con la mejor planeación, ejecución y control de trabajo de una forma grupal, y no solamente administrado por una sola persona, repercutiendo en las exigencias de cada tarea y forjando el éxito de los proyectos asignados.
Blockchain in trade finance: The Good, the Bad and the Verdict
Authors: Kellaf Tarik
Published: December 2024

This study explores the potential of blockchain technology to optimize trade finance processes and to address inefficiencies and fraud risks in centralized systems that contribute to a growing global trade finance gap, particularly affecting SMEs. Through documentary analysis and the case of Morocco's OCP Group, with insights for practitioners, we explore the benefits and challenges of integrating blockchain into trade finance. Our findings suggest a hybrid solution integrating blockchain into existing infrastructure, relying on both off-chain and on-chain governance mechanisms in smart contracts. This approach aims to bridge the gap between traditional and blockchain solutions in trade finance and discusses the potential for a more pragmatic way forward for the industry.
La Mimética: Una Propuesta para la Enseñanza en Lenguaje, Ciencias Naturales y Ciencias Sociales
Authors: Armesto Argüelles Nelsy Jhoanní , Martín Bautista Yessica , Niño Rodríguez Carlos Andrés
Published: December 2024

El auge de las Tic ha permitido que el sistema educativo goce de la presencia de estas en el aula para apoyo en el aprendizaje, esto ha generado que los jóvenes se vean inmersos en el lenguaje que los memes les permiten entender. De hecho, el término “meme” tiene su origen en la teoría de Dawkins (1976), quien lo sitúa como la unidad de transmisión cultural por imitación, así que la información cultural se transmite de cerebro a cerebro en unidades consideradas como simples (un concepto, una técnica, una costumbre, entre otros) y van conformando sistemas más complejos. Estas unidades, que el autor llama memes, son también replicadores a través de los cuales la cultura evoluciona. Entonces, ¿Cómo podemos relacionar los memes con la enseñanza del lenguaje, las ciencias naturales y las ciencias sociales en nuestra cultura? Pues bien, esta investigación se centra en el uso del meme como estrategia educativa y comunicativa para el desarrollo del aprendizaje significativo en las asignaturas de Lengua Castellana, Ciencias Naturales y Ciencias Sociales en estudiantes de ciclo V de una IED ubicada al sur de Bogotá. Para esto, se retoman autores como Heylighen (1976), Arango (2015) y Alzate (2018) entre otros autores del plano del Lenguaje; Castells, (2014), a su vez para el panorama de las ciencias naturales se indaga en autores como Chicaiza & Bastardo  (2022). Todo esto con el fin de dar como resultado creaciones propias de memes que ahonden en el proceso y la praxis científica.
Data-Driven Expert System for Tuberculosis (TB) Diagnosis Using the
Forward Chaining Method
Authors: Usmanto Budi , . RInawati , Andriyani Novita
Published: December 2024

Tuberculosis (TBC) is a disease caused by Mycobacterium tuberculosis, one of the oldest
known diseases affecting humans. While it primarily affects the lungs, about one-third of cases
involve other organs, underscoring the importance of early detection and accurate diagnosis. To
address this, a data-driven expert system has been developed to assist in diagnosing tuberculosis
and providing relevant information to users. An expert system is a form of intelligent software
that leverages data and expert knowledge to solve complex problems. In this study, the Forward
Chaining method is applied, utilizing a rule-based approach to process data and conclusions
from known facts. This method iteratively matches facts to rules, deriving new insights until a
conclusion is reached or no further matches are found. If the premise satisfies the conditions
(evaluated as TRUE), the system generates a decision. The system is designed to simplify the
recognition of tuberculosis symptoms by analyzing user-provided data to produce accurate
diagnostic results and actionable solutions. Findings indicate that the data-driven approach
enhances the system's ability to provide precise diagnoses and recommendations, ensuring
reliability and effectiveness. This work demonstrates the value of integrating data-driven
methodologies in expert systems to improve healthcare delivery, particularly in the early
detection and management of tuberculosis.
Lung Cancer Prediction Model to Improve Survival Rates
Authors: Awati Rakesh , Sanjay Manjula
Published: December 2024

The truth that lung cancer is still the essential cause of cancer-related fatalities around the
world emphasizes how critical early distinguishing proof is. This paper utilizes machine
learning methods to reckon the chance of lung cancer from persistent information, such as
socioeconomics, therapeutic history, and imaging outcomes. The framework utilizes
calculations, counting calculated relapse, choice trees, and bolster vector machines, with the
objective of making strides in demonstrative accuracy and speeding up incite mediation. To
ensure the model's steadfastness in clinical settings, its execution is surveyed utilizing
measures counting exactness, exactness, and review. This strategy of treating lung cancer
has the potential to improve understanding results and early discovery rates.
Analysis of Multi-objective Hyper-Heuristics Under Different Dynamic and Preferential Environments
Authors: Macias Teodoro , Cruz-Reyes Laura , Dorronsoro Bernabé , Gómez-Santillán Claudia
Published: December 2024

The use of hyper-heuristics to solve dynamic multi-objective optimization problems (DMOPs) that incorporate decision-maker's preferences is a recently addressed research area. This paper proposes the analysis and comparison of three hyper-heuristics to solve preferential DMOPs. The Dynamic Hyper-Heuristic with Plane Separation (DHH-PS), a previously proposed methodology using Plane Separation (PS), a reference-point-based preference incorporation method. This paper also proposes two versions of the Dynamic Population-Evolvability based Multi-objective Hyper-Heuristic (DPEM-HH), incorporating PS and different low-level heuristics sets. This work tests DHH-PS and both DPEM-HH-PS versions under multiple dynamic and preferential environments, seeking to extend the study of DHH-PS and analyze the capability of DPEM-HH-PS. DPEM-HH-PS exhibited suitability for type II DMOPs and randomly-changing instances. DHH-PS presented a better performance for tri-objective DMOPs. The combination of genetic algorithms and differential evolution in DPEM-HH-PS proved effective for solving preferential DMOPs. DHH-PS and DPEM-HH-PS were capable of adapting to different preferential and dynamic environments.
Design and analysis of classification models for the gelification of alkoxybenzoates using the kNN algorithm
Authors: Loredo-Pong Virginia , Morales-Rodríguez María  Lucila , Díaz-Zavala Nancy  Patricia , Rangel-Valdez Nelson , Sosa-Sevilla Jaime E.
Published: December 2024

The classification models of the states produced by the gelation tests of alkoxy benzoates require designing several corpora of data based on their characteristics. This work studies a series of alkoxybenzoates and 15 solvents characterized by Hansen Solubility Parameters and the number of carbons on the alkyl tail as a distinctive structural feature for the molecules. These properties were evaluated as attributes on the corpora on the kNN algorithm. Different configurations developed were analyzed, with three corpora designed varying their content according to their attributes. From this study, seem the relevance of some attributes over others on the performance prediction of the products class obtained. The significant samples correctly classified on corpora containing HSP and the number of carbons on the alkyl ether tail of alkoxybenzoates denote the influence of these properties on the classification. Also, the more suitable configurations on kNN, metric, k value, attribute weight is founded according to each corpus.
A Reduced Spherical Model for Optimization of Image Recognition through 3D Color Histograms
Authors: Trujillo-Romero Felipe , Caballero Morales Santiago Omar , Flores-Rodriguez Karen-Lizbeth , Garcia-Capulin Carlos , Sanchez-Yanez Raúl
Published: December 2024

A 3D color histogram is an image processing technique used to visualize the distribution of colors (Red-Blue-Green) in a picture. Because color distribution does not significantly change if a pictured object is translated or rotated, a 3D color histogram can be used as descriptor for automatic object recognition. However, this task requires cubes with high dimensionality. Within this context, the present work contributes with an approach to reduce the high dimensionality of the 3D color histogram and improve it as descriptor for object recognition. Tests performed with three databases (COIL-100, an own database, and CO3D) and three recognition systems corroborated its suitability for efficient object recognition, achieving overall recognition rates of 97.0% for objects with complex geometry and reflectance features. These results are more competitive when compared with other color descriptors as C-SIFT, RGB-SIFT, Color moments and RGB histograms.
Analysis of Bacterial Association Patterns that trigger Bacterial Vaginosis
Authors: De la Cruz-Ruiz Freddy , Canul-Reich Juana , De la Cruz-Hernández Erick , Rivera-Lopez Rafael
Published: December 2024

Background: Bacterial Vaginosis (BV) is a dysbiosis of the normal flora residing in the patient’s vaginal mucosa. Objective: Running the apriori algorithm to mine association rules in a dataset that holds records of patients diagnosed with BV+. Method: To select the rules created with statistical significance the functions is.redundant, is.significant, and is.maximal were used. Also eight quality metrics were used. Results: The best percentage of support to find the frequent itemsets was 7%. The confidence percentage to create the rules was 90%. The best metric was Fisher’s exact test. The algorithm reported 58 rules. After selection with the fucntions and metrics, 17 rules were reported. Biological validation reduced the rules to 5. Rules reported that Atopobium vaginae, Gardnerella vaginalis, Megasphaera phylotype 1, and Ureaplasma parvum interact with each other to develop BV+. Conclusion: Knowing the bacteria (patterns) involved in the development of BV supports in the diagnosis of BV+.
Geodesic Embedded System for Real-Time Tracking and Communication Offline
Authors: Cortés Griselda , Rodríguez José , Vargas María , Enciso Ernesto , Ávila Jacob , Meléndez Adolfo , Vigueras Sergio , Sossa Azuela Juan Humberto
Published: December 2024

Nowadays, hybrid (air and land) systems are applied for solving syndemic problems, which have caused millions of deaths by COVID-19. In support to military and medical communications with tracking in real-time, public, or private security of objects and people, we propose a multiplatform Geodesic Embedded System for Real-Time Tracking and communication offline. The Middleware was built with Encrypted Global Navigation Satellite System (GNSS) and DB async replication. It was built under a client-server architecture of multi-Tiers and logical multilayers, was developed with Nodejs-Express-Angular with Object Relational Mapping and Data Transfer Object with PostgreSQL. Generally, tracking systems with GNSS technology are slow without a base architecture and adequate development tools and require an internet connection in some of their stages. The proposed system was tested with other applications; it used Geoserver and Dockers in two different environments. The results showed its functionality in different situations applied in problems of aeronautic and terrestrial tracking, guaranteeing a projection of personalized geodetic maps, and OpenStreetMap used in an agile way, efficient, and secure communication in real-time. The proposed architecture allows native development, integration of new modules, and cross-platform implementation in an easy way, and a cellular transceiver with 94.6% of efficiency. The proposed architecture, permit to use the application in different platforms with the same configuration.
A Systematic Mapping Study in the area of Software Testing
Authors: Aguilar Raúl A. , Garcia Naomi , Díaz Julio C.
Published: December 2024

This article offers an overview of the research developed in the last decade in the area of software testing. Systematic Literature Mapping was used as a research methodology, and based on three databases, 171 primary studies were selected. The study raises a set of research questions about techniques, strategies and types of tests, aspects such as quality factors analyzed, degree of innovation, and even about the empirical method used in the study. Among the findings, it was found that performance tests are the most analyzed types of tests, mixed strategies were the most cited, that efficiency turned out to be the most important quality factor, and that case studies are the most used technique by researchers. The secondary study carried out allowed us to conclude that research in the field of software testing is still valid in the context of Software Engineering, so it is pertinent to continue research on specific topics through both primary and secondary studies.
Method for the Evaluation of Similarity Measures using short Texts
Authors: Bravo Maricela , Hoyos Reyes Luis Fernando , Rodríguez Benavides Domingo , Sánchez-Martínez Leonardo D.
Published: December 2024

There exist multiple online collections and data bases of scientific articles publicly available, to take full advantage of these resources, it is necessary to process, arrange and correlate texts with respect to a classification or ontology. To achieve an efficient organization and a more relevant correlation between texts, it is necessary to use a similarity measure for short texts. However, determining the best method to calculate the similarity between texts is an arduous task, since there are many similarity measures reported in literature. Additionally, the collection of texts to which the similarity measures are applied should be considered; while some measures are useful for some types of information sources, they fail when the collection of data changes. Therefore, it is necessary to count with a method to evaluate the performance of similarity measures from a statistical perspective and in terms of the accuracy achieved by each measure.
Dendritic neural networks in the classification of estrous cycle images
Authors: Ochoa-Montiel Rocio , Román-Godínez Rodrigo , Zamora Erik , Sossa Azuela Juan Humberto , Hernández Gerardo
Published: December 2024

In the biological area, the short reproductive
cycle in rodents is useful because it allows analyzed
electrophysiological properties, behaviors, or drug effects through the changes observed during this period. This cycle is composed of 4 stages in which the classification is determined by vaginal cytology.
Although automatic approaches have been used for the classification of these stages, they are computationally expensive and require a great number of images for adequate performance.
In this paper, we test different models of dendritic neural networks (DNN) trained by stochastic gradient descent to classify a short number of images and four classical contrast enhancement methods. We extract texture features and use standard and DNN classifiers to recognize the images.
From the experiments, it seems that DNNs have a more stable behavior concerning the standard classifiers according to the standard deviation presented, being this a desirable property for a model. We consider that DNN could be an adequate alternative for the classification of estrous cycle images.
ICM image separation based available parking space detection
Authors: Romero Bautista Víctor , Barreto Flores Aldrin , Ayala Raggi Salvador E. , Bautista López Verónica E.
Published: December 2024

Parking lot systems based on computer vision have been used frequently in recent years to improve vehicle traffic on urban areas. These systems provide information about the availability of a parking place, furthermore these systems contribute for a better organization and to reduce the time to looking for a free space. One of the main challenges for these systems is the occlusion effects that occur frequently due to the location of the cameras in the parking lots. In this paper, we present a method for available parking place detection, where we contribute with a mechanism to reduce occlusion effects that consists of feature extraction using ICM based on input image separation. The results shows that our contribution significantly reduces the noise generated by occlusion effects. The proposed method was evaluated by our dataset and an external dataset, where the experiments results achieving up 0.98 accuracy.
Analysis of the material unavailability of ICT in the State of Hidalgo
Authors: Torres González Miguel Angel , Hernández Veleros Zeus Salvador , Ramírez Rosas José Gonzálo
Published: December 2024

The objective of this research work is to analyze the unavailability of the population of the State of Hidalgo for access to information technologies through the generation of the index of material unavailability of ICT, which allowed the classification of the municipalities in five dimensions analyzed statistically and using georeferencing techniques. The variables selected for this purpose were Internet connectivity, use of fixed telephone, mobile telephone, and computer. The information used was taken from the 2020 Population and Housing Census, as it was the only source of information that met the required Municipal coverage.
 Among the most significant findings, we found a clear tendency to use cell phones for connectivity instead of using the Internet on computer equipment; however, this brings with it the difficulty for efficient use in activities such as school homework.
Futures Study to identify trends in the Fintech sector: Application of Natural Language Processing
Authors: Téllez Sánchez Alejandra , González-Sierra Juan Antonio , Pérez Hernández Carla Carolina
Published: December 2024

The purpose of this document is to provide an overview of trends in the Fintech sector that will allow organizations in the industry to consider possible futures in order to outline strategies for growth and permanence in the market; knowledge of the possible future generates a competitive advantage within organizations. To identify the trends, we performed a documentary research using Artificial Intelligence/Natural Language Processing to detect patterns of Political, Economic, Social, Technological and Legal elements, resulting in the following trends: "Fintech as a driver of development", "Digital Economy" and "Latent Risks and Challenges of the Environment".
Synthesis and structural characterization of new complexes based on silver nanoparticles, diphenylcarbazide, and cetyltrimethylammonium bromide
Authors:   Baku State University, Department of Chemistry, İmamaliyeva Aytan , Hajiyeva Flora ,   Baku State University, Department of Chemistry, Ciraqov Famil
Published: December 2024

In this work, the synthesis of new complexes based on silver nanoparticles (AgNP), diphenylcarbazide reagent (DPC), and cetyltrimethylammonium bromide (CTAB) was carried out, and the optimal conditions for their production were determined. The structures of the synthesized binary DPC+Ag and ternary DPC+Ag+CTAB complexes were studied using X-ray diffraction (XRD), infrared (IR), and ultraviolet (UV) spectroscopy. From the UV analysis, it was observed that the maximum peaks of the DPC reagent are found at wavelengths of 235 nm, 262 nm, 308 nm, and 345 nm, corresponding to the π-π* transition of the C-C bond and the n-π* transition between the C=N groups. Due to the surface plasmon resonance of the binary complex, new peaks in the absorption spectra were identified at wavelengths of 248 nm, 288 nm, 315 nm, and 355 nm. In the ternary complex, peaks in the absorption band were observed at wavelengths of 305 nm and 348 nm. The spectroscopic properties of DFC and its binary and ternary complexes were investigated through IR analyses. The aromatic C-H bonds of the phenyl group appear in the range of 3000-3100 cm⁻¹, while the C=C bonds of the phenyl group appear around 1500-1600 cm⁻¹. The peaks corresponding to the carbonyl (C=O) bond of the carbazide group are found in the range of 1650-1700 cm⁻¹, and the peaks related to the N-H groups appear around 1500-1600 cm⁻¹. The interaction of DFC with AgNPs was examined by analyzing shifts and changes in intensity of the IR spectroscopy absorption bands.
Empirical Study: Brand Performance and Consumer Satisfaction as Determinants of Brand Switching
Authors: Setyati Dewi Ayudya , Dirgantara Ahmad
Published: December 2024

In the current era of globalization, where changes in technology and the flow of information are increasingly advanced and rapidly encouraging the emergence of competition in the business world, consumer needs are not limited to the main function that can be provided for a product (primary demand), but develop into secondary needs (secondary primary), namely the desire for a brand. The purpose of this research is to determine the influence of brand performance on brand switching on Gudang Garam (GG) cigarettes, to determine the influence of brand performance on the level of brand satisfaction on GG cigarettes and to determine the influence of the level of brand satisfaction on brand switching on GG cigarettes. The research variables are brand performance, brand satisfaction and brand switching and the variable measurement scale used in this research is an interval scale, while the variable measurement technique uses the semantic differential technique. The sample for this research was people who bought and consumed GG brand cigarettes in East Jakarta, totaling 110 respondents. Analysis technique using One Step Approach to SEM (Structural Equation Modeling). Based on the test results, the hypothesis which states that brand performance and the level of brand satisfaction has a negative influence on brand switching is proven to be significant, while the hypothesis which states that brand performance has a positive influence on brand switching is also proven to be significant.
Peran Pasar Rakyat Sebagai Implementasi Demokrasi Ekonomi (Studi Pada Pasar Kober Purwokerto Barat Kabupaten Banyumas)
Authors: Divka Avedish  , Ayu Nursasi  , Muhammad Luqman  , Qothrotun Nada  , Siti Maghfiroh
Published: December 2024

Pasar Kober di Purwokerto Barat berperan dalam mengimplementasikan prinsip demokrasi ekonomi untuk mendukung pemberdayaan masyarakat lokal. Penelitian ini menggunakan metode kualitatif dengan pendekatan deskriptif dengan pengumpulan data primer melalui observasi langsung, wawancara dengan pedagang dan pengelola pasar, serta dokumentasi aktivitas pasar. Sedangkan Data sekunder diperoleh dari berbagai sumber pustaka yang membahas pasar rakyat, demokrasi ekonomi, dan pengelolaan pasar tradisional. Hasil penelitian ini menunjukkan bahwa Pasar Kober berfungsi tidak hanya sebagai pusat perekonomian lokal, tetapi juga sebagai simbol pemberdayaan ekonomi kerakyatan. Kebijakan seperti kebebasan pedagang dalam menentukan harga dan larangan memperjualbelikan lapak menjadi ciri khas pasar ini. Meskipun demikian, pasar menghadapi tantangan modernisasi, termasuk persaingan dengan pasar modern dan resistensi pedagang terhadap teknologi pembayaran digital seperti QRIS. Pengelolaan yang adil dan inklusif oleh pemerintah, termasuk penyediaan fasilitas dan sosialisasi harga pasar, mendukung keinginan pasar tradisional ini. Studi ini merekomendasikan strategi adaptasi, seperti digitalisasi dan perbaikan manajemen pasar, untuk memperkuat daya saing pasar rakyat tanpa menghilangkan nilai-nilai demokrasi ekonomi. Pasar Kober menjadi contoh pengelolaan pasar tradisional yang tetap relevan dan berkelanjutan di era modern.
Pulmonary actinomycosis associated with poor oral hygiene: A case report
Authors: Gülbahar Burcu Nur , Atabek Beste
Published: December 2024

Pulmonary actinomycosis, a rare and chronic infection caused by Actinomyces species, involves anaerobic gram-positive bacteria that are part of the oral cavity’s normal flora. Thoracic involvement, accounting for approximately 15% of all actinomycosis cases, typically results from aspiration of oropharyngeal secretions. We report the case of a 36-year-old man with poor oral hygiene and severe dental decay who presented with a month-long history of chronic cough, hemoptysis, malodorous sputum, weight loss, and pleuritic chest pain. Imaging identified a cavitary lesion in the left upper lobe, initially raising concern for infectious or malignant etiologies. Bronchoscopic sampling confirmed pulmonary actinomycosis through histological identification of sulfur granules. The patient responded favorably to high-dose intravenous penicillin followed by oral antibiotics. This case underscores the diagnostic challenges of pulmonary actinomycosis, the importance of oral hygiene as a modifiable risk factor, and the need for a multidisciplinary management approach.
Dynamic Comfort Considerations in the Design of High-rise Buildings
Authors: Balanchivadze Lia , Matithaishvili Beka , Kikadze Vladimer
Published: December 2024

The following paper provides research analysis on the influence of wind on a building, considering the regional and local climate conditions, to improve dynamic stability and reduce wind disruption effects on high-rise reinforced concrete buildings. The main aspect of disturbance in living conditions is caused by wind loads on the building. The data is based on structural analysis, generated by the “Lira CAD 2013” ​​software, for a construction project of a 19-story residential building, completed in Georgia’s capital Tbilisi, 58 Kavtaradze St., in accordance with the given necessary requirements and restrictions by general terms and conditions of the Georgian state law. Computer aided modeling provides the ability to simulate and define parameters caused by the wind disruption on an actual site. Calculation process is based on variables specified by state law for each region of the country. Modified accelerations which have been caused by wind in multi-story, high-rise buildings have significantly greater values on upper floors, and reaching the edges ​​​​of the minimum living comfort criteria. The given study features the estimation for high-rise buildings under various combinations of loads. High-rise buildings have gone under significant restrictions due to use of conventional rigid frames as structural elements in the construction process. That process tends to develop a series of new research and findings for proper architectural forms, which became possible using the new generation of fast digital computing software and hardware.
Exploring the Therapeutic Promise of Melittin: Anti-Inflammatory and Anti-Cancer Applications of Bee Venom
Authors: Pawar Alka
Published: December 2024

Bee venom, a complex mixture of bioactive components, has garnered attention for its therapeutic properties, with melittin identified as its primary active component. This review highlights the potential of melittin in treating inflammation and cancer, two major health challenges. Inflammatory diseases, characterized by dysregulated immune responses, benefit from melittin's anti-inflammatory effects, including the inhibition of pro-inflammatory cytokines and activation of anti-inflammatory signaling pathways. Both preclinical and clinical studies have demonstrated melittin's ability to reduce inflammation across various disease models. In oncology, melittin has shown promising anti-cancer effects by inhibiting cell proliferation and inducing apoptosis in cancer cells. Recent evidence suggests melittin's efficacy against breast cancer and its potential application in other malignancies, such as prostate, colorectal, and pancreatic cancers. Additionally, melittin enhances the effectiveness of conventional treatments like chemotherapy and radiation. Despite its therapeutic promise, the potential toxicity and adverse effects of melittin necessitate careful investigation. Current research focuses on strategies to mitigate toxicity and improve its safety profile. This review underscores the significant progress in understanding melittin's mechanisms of action and therapeutic potential, emphasizing the need for further studies to develop safe and effective melittin-based treatments for inflammatory and cancerous diseases.