bluuebunny/crossref_metadata_2025 huggingface dataset:
Career Development Disparities: Private vs. State Higher Education Lecturers in Indonesia
Authors: Wahyuningsih Sri , A.S Shamsudin
Published: January 2025

Higher education in Indonesia, both state and private higher education, is a national instrument in improving the quality of life in society, state and nation. The agenda of improving the quality of higher education cannot be separated from improving the quality of lecturers’ career development. Whilst this career development should be similar at all higher education institution, the career development among lecturers at private higher education is somehow behind compared to those at the state higher education institutions. This paper is written based on a study examines the influence of competency factor, organizational culture and achievement motivation on work performance and career development of lecturers at private higher education in Indonesia. The study also looks into lecturer work performance as a mediator variable for the relationship between organizational culture and lecturer career development, and lecturer work performance as a mediator variable for the relationship between achievement motivation and lecturer career development. A total of  210 questionnaires were distributed to research locations and 192 (90%) data is processed using PLS Smart4 Structural Equation Modeling (SEM) statistics. The results of the study show that organizational culture, competency and achievement motivation have direct, positive and significant influence on the work performance of lecturers at private higher education in Indonesia. Furthermore, organizational culture and work performance also have direct and significant influence on lecturer career development. These are similar findings for lecturers at the state higher institution. However, the study findings reveal that neither achievement motivation does not have positive and significant effect on lecturer career development, nor, work performance has full mediation (partial mediation) for the relationship between organizational culture and lecturer career development. Moreover, the relationship between achievement motivation and lecturer career development is not mediated by lecturer work performance. It is concluded that the reasons behind this related to the heavy teaching workload, limited financial resources and unachieved status and reputation as the state higher education institutions.
Augmented Reality (AR) in Medical Training: AI-Powered Simulations for Enhanced Learning Experiences
Authors: Kılıç Selin
Published: January 2025

Medical training has historically relied on traditional pedagogical approaches, including textbooks, cadaver dissections, and supervised clinical experiences. However, the emergence of Augmented Reality (AR) integrated with Artificial Intelligence (AI) is transforming medical education by offering immersive, interactive, and adaptive learning environments. AI-powered AR simulations provide real-time feedback, predictive analytics, and personalized learning pathways, thereby enhancing skill acquisition, decision-making capabilities, and procedural proficiency. These systems can replicate complex surgical procedures, anatomical explorations, and diagnostic assessments with high fidelity, reducing the dependency on physical resources and mitigating patient risk. Furthermore, AI-driven AR applications facilitate collaborative learning, enabling remote training and standardized assessments. The integration of AR and AI fosters a dynamic educational paradigm that enhances knowledge retention and practical competence, ultimately contributing to improved healthcare outcomes. This paper explores the technological advancements, pedagogical benefits, and future prospects of AI-powered AR simulations in medical training, emphasizing their potential to revolutionize medical education and clinical practice.
Development of Audio Source Separation Algorithm in Noisy Environment Using Compact Kernel Time-Frequency Distribution
Authors:   Nigerian Defence Academy, JIBRIL Amina , AHMAD Ashraf Adam ,   Nigerian Defence Academy, LAWAN Sagir ,   Nigerian Defence Academy
Published: January 2025

This research focuses on the development of a source separation algorithm tailored to significantly enhance audio
processing in noisy environments. By utilising advanced signal processing techniques and algorithms based on
time-frequency analysis, the study explores the effectiveness of the Compact Kernel Distribution (CKD) for this
purpose. Performance was evaluated using key metrics such as Signal-to-Interference Ratio (SIR), Source-to-
Distortion Ratio (SDR), and Signal-to-Noise Ratio (SNR). Notable improvements were observed: SIR improved
by 4.90% and decreased by 5.36%, while SDR improved by 66.47% and 58.08% at SNR of 5 dB SNR for the audio
recordings signals compared to Max-Corr and Simplex-Corr, respectively. The results demonstrate that the
developed algorithm significantly enhances SIR, SDR, and SNR metrics, with potential applications across
various industries, including speech enhancement.
NECESSITY AND CHALLENGES OF DIGITAL TRANSFORMATION IN PUBLIC ADMINISTRATION
Authors:   Assoc. Prof. Ph.D. "Dimitrie Cantemir" University from Târgu Mureș, ROMANIA., BĂLAN Sorina-Mihaela , BĂLAN Daniel-Cornel ,   Ph.D student at Technical University Cluj Napoca, Engineering and Management, ROMANIA., BĂLAN Liliana ,   Student at George Emil Palade” University of Medicine, Pharmacy, Sciences, and Technology of Tîrgu Mureș, Faculty of Economics and Law, ROMANIA
Published: January 2025

In the contemporary context, the call for digital transformation resonates widely, especially in Public Administration (PA). The goal of digital transformation in PA is to improve public service delivery, enhance government efficiency, and effectively engage citizens. This involves implementing E-Government Services, digital platforms, data-driven decision-making, and open data initiatives. The exploration is centred around key questions regarding value creation, extending the value proposition, incorporating human-cantered innovation, designing an adaptable organization, and identifying digital capabilities at various levels. The assessment includes investigating the impact of digitalization on public services, enhancing the value proposition in the digital future, integrating human-cantered innovation, designing an organization responsive to ongoing changes through digitization, and identifying necessary digital skills. M-Government initiatives, robust cybersecurity measures, and collaboration with the private sector contribute to streamlined processes, fostering citizen engagement. The transformative endeavour is organized around three pillars: Performance, Organizational dynamics, and Collaboration, addressing digitization's potential to generate value, strategies for future value propositions, innovation integration, adaptable organizational design, and essential digital capabilities across organizational levels. The overarching aim is to make government services accessible, efficient, and responsive in the digital age, the opinions of young students, future employees, and promoters of digital transformation are interesting!
Multisystem inflammatory syndrome associated with COVID-19. Clinical case in a child 2 years 11 months old
Authors: Павлова Клавдия , Балашова Александра , Ларин Дмитрий
Published: January 2025

Современные научные данные показывают случаи развития мультисистемного воспалительного синдрома (MIS-C) у детей, ассоциированного с инфицированием вирусом SARS-CoV-2. Данное состояние является относительно редким и сопровождается развитием выраженного гипервоспалительного синдрома с многообразными проявлениями. MIS-C также может приводить к полиорганной недостаточности, требующей интенсивной терапии. В данной статье рассматривается клинический случай мультисистемного воспалительного синдрома, ассоциированного с COVID-19, у ребенка 2 лет 11 месяцев. Собственное наблюдение показывает развитие заболевания у ребенка с дебютом поражения печени с последовательным присоединением кожного, сердечно-сосудистого синдрома и нарушения системы гемостаза.
La contribución de la moneda en el desarrollo de las estelas discoideas romanas en la meseta Norte
Authors: Schattner Thomas G.
Published: January 2025

Desde hace tiempo se ha observado el paralelismo iconográfico entre las representaciones de los jinetes en las estelas funerarias de la meseta Norte, especialmente en las discoidales, y las representaciones en las monedas hispano-romanas. Para el soporte en forma discoidal de la cabeza de las estelas, portador de la imagen, siempre se postuló un origen indígena derivado de las estelas antropomorfas prehistóricas.
Trascender antes de morir: juramentos, memoria heroica y hospitium entre los vacceos
Authors: Sánchez Moreno Eduardo
Published: January 2025

El artículo propone una reflexión sobre el sentido de la trascendencia, la consagración religiosa y el manejo de la memoria de los antepasados en algunas poblaciones vacceas durante la intervención romana en la cuenca central del Duero (siglos II-I a. C.), en la acción del cónsul L. Licinio Lúculo contra las ciudades de Cauca, Intercatia y Pallantia en el año 151 a. C.
Gestación subrogada, adopción y mención registral del lugar de nacimiento(Comentario a la STS (Civil) núm. 1141/2024 de 17 de septiembre de 2024)
Authors: Jiménez Blanco Pilar
Published: January 2025

Nuevamente llega al TS un litigio en el que está presente una gestación por sustitución. Es cierto que en este supuesto no se plantea directamente si un contrato de gestación subrogada puede tener efectos o no en España; la filiación ya ha quedado fijada y no ha sido cuestionada. Se plantea, sin embargo, el alcance del derecho a la vida privada del menor en relación con las circunstancias relativas a su filiación. En este caso, nace una niña en Ucrania —aunque no se cita en la Sentencia, sí figura en los antecedentes—, país que ha sido uno de los destinos que admiten contratos de gestación por sustitución por parte de personas extranjeras, con independencia de su inexistente vinculación con dicho país. El nacimiento de la niña se inscribió en el Registro civil consular del país en cuestión, haciendo constar la filiación biológica del padre y de la madre gestante. Con la niña ya en España, el cónyuge del padre adoptó, mediante resolución judicial española, a la niña. De los datos, se deduce que tanto el padre biológico como la madre adoptiva son españoles y residentes en España.
Fenotipo hipersecretor en asma, diagnóstico e implicaciones
Authors: Crespo-Lessmann Astrid , Vélez-Segovia Eduardo , Sáez-Elizagaray Javier
Published: January 2025

La hipersecreción bronquial de moco (HBM) es una característica común en pacientes asmáticos, tradicionalmente asociada al concepto de “bronquítico crónico” y a factores externos como el tabaco, infecciones o bronquiectasias; sin embargo, cada vez se vincula más con un fenotipo eosinofílico no alérgico, mayor edad, evolución prolongada del asma, mayor gravedad, peor control de la enfermedad, menor calidad de vida, peor función pulmonar y la presencia de poliposis nasal, rinosinusitis crónica y bronquiectasias asociadas. En la práctica clínica, se dispone de herramientas como el cuestionario T-sec, el Score de Dunican y los fenotipos de moco medidos mediante tomografías computarizadas torácicas para valorar la HBM. La correlación entre estos hallazgos radiológicos y la pérdida de función pulmonar, aumento de resistencias pulmonares, engrosamiento de la pared bronquial y mayor atrapamiento aéreo es objeto de estudio, destacando el potencial beneficio de los tratamientos biológicos en pacientes con asma grave.
Crossing Boundaries: The Integration and Impact of English Loanwords in French Media
Authors: Ashrafova Ilaha
Published: January 2025

This research explores the influence of English loanwords on modern French, particularly their lexical and grammatical impact in mass media. It examines frequently adopted English terms like hashtag, smartphone, and email, which have seamlessly become part of the French lexicon. Additionally, the study investigates the subtle integration of English grammatical structures, such as the progressive tense and prepositional usage, into French syntax. Mass media plays a significant role in accelerating this linguistic shift, especially among younger and globally connected audiences. While these borrowings contribute to linguistic flexibility and modernization, they also raise concerns about maintaining the structural integrity and cultural identity of the French language. The growing presence of English in media discourse has fueled debates on linguistic preservation, emphasizing the challenge of balancing language evolution with cultural heritage. This study highlights the necessity of further research into the long-term effects of English borrowings on French communication, identity, and language policies in an increasingly globalized context.
El reto de integrar la presupuestación pública con la evaluación de políticas
Authors:   Universidad de Santiago de Compostela, Baños Rovira Jordi
Published: January 2025

Con el objetivo de lograr una mayor eficiencia asignativa y operativa, multitud de administraciones públicas han tratado de implementar la presupuestación por resultados, la cual presenta importantes retos y dificultades, entre ellas, la integración y utilización efectiva de las evidencias aportadas por la evaluación de políticas para la toma de decisiones presupuestarias. El presente artículo ofrece una visión general del estado actual de la integración y uso de la evaluación para la presupuestación, así como identifica las principales dificultades descritas por la literatura y experiencia comparada para dicha conexión. Finalmente, se ofrece una relación de posibles recomendaciones para una mayor integración entre la presupuestación y la evaluación, las cuales comprenden tanto el sistema gubernamental de evaluaciones como el propio sistema presupuestario.
La evaluación económica en el análisis de las políticas públicas: el estado del arte en España
Authors:   Universidad Complutense de Madrid, Valiño Castro Aurelia
Published: January 2025

Este trabajo aborda el alcance de la evaluación desde el punto de vista económico de las políticas públicas en España y su trascendencia para la toma de decisiones, la mejora en la asignación de los recursos y el bienestar ciudadano. Se analiza el alcance de la institucionalización de la evaluación en los principales niveles de decisión: estatal y autonómico, la contribución a la cultura de la evaluación a través de la formación académica y se efectúa una revisión de los avances en evaluación en las principales políticas públicas. Todo ello con el objetivo de poner en valor esta actividad imprescindible para el buen funcionamiento de la gestión pública y la rendición de cuentas ante los ciudadanos.
El valor de la Investigación e Innovación Responsable para la reorientación de las Estrategias de Especialización Inteligente: lecciones y limitaciones desde la experiencia cántabra
Authors:   TECNALIA, Tabarés Gutiérrez Raúl , Arrizabalaga Salegi Ezekiela ,   TECNALIA
Published: January 2025

Las Estrategias de Especialización Inteligente (S3) fueron diseñadas para promover el crecimiento económico y la competitividad en la UE, pero actualmente afrontan una fase de reorientación hacia la sostenibilidad. En este texto nos preguntamos cómo la filosofía de la Investigación e Innovación Responsable (RRI) puede contribuir en dicha reorientación. Para ello nos basamos en la experimentación posibilitada por el desarrollo de un laboratorio social en la Comunidad Autónoma (CA) de Cantabria, orientado a favorecer la inclusión de la RRI en la S3 de la región para el periodo 2021-2027. Argumentamos que la RRI puede ayudar en esta reorientación, promoviendo una mayor reflexividad, inclusividad y diversidad en los sistemas de innovación regionales.
PROCESSO DE INCLUSÃO/ EXCLUSÃO NA EDUCAÇÃO ESPECIAL: UM ESTUDO NORTEADO A UMA PERSPECTIVA DA EDUCAÇÃO INCLUSIVA
Authors: Tenório Maelem Aragão , Bastos Jaqueline Mendes
Published: January 2025

O artigo presente propõe apresentar uma abordagem no âmbito educacional, a respeito das reflexões acerca do “Processo de inclusão/ exclusão na educação especial: Um estudo norteado a uma perspectiva da educação inclusiva”, visando discorrer por esses conceitos dicotômicos que integram o cerne da educação inclusiva, assim como oportunizar ampliar a visibilidade e sensibilização da importância de se reverberar as discussões sobre Educação Especial e a inclusiva em todos os meios, especialmente o educacional. Desse modo, a fundamentação teórica foi baseada em autores que comungam, transitam por essa linha de raciocínio, permitindo o entrelaçamento a interdisciplinaridade dos diversos saberes, de interpretações das diferentes formas de se significar o incluir e/ou excluir no processo educacional. Dessa forma, buscamos realizar esse estudo para contribuir as discussões sobre a temática, a fim de que, principalmente, os que vivenciam o cotidiano com os alunos deficientes possam oferecer práticas pedagógicas mais democráticas e menos excludentes.
COMPLICAÇÕES HEMODINÂMICAS ASSOCIADAS À ANESTESIA GERAL EM PACIENTES CRÍTICOS: PREVENÇÃO E MANEJO NA UTI
Authors: Souza Jorge Augusto Soares de , Ferreira Fernando Vieira , Monte Thais Fernandes do , Nascimento Rodolffo Gustavo Ascarum do , Carneiro Julia Fontes , Ramos Ana Luiza Rodrigues de Faria , Rodrigues Larissa Andrade , Arakaki Érica Sayuri , Souza Gabriela Santos de , Castelan Laura Amaro
Published: January 2025

Objetivo: Analisar as Complicações Hemodinâmicas Associadas à Anestesia Geral em Pacientes Críticos. Revisão Bibliográfica: A anestesia geral é um procedimento amplamente utilizado em cirurgias e procedimentos médicos para proporcionar analgesia, amnésia, relaxamento muscular e inconsciência. Embora a anestesia geral seja geralmente considerada segura, ela apresenta riscos potenciais de complicações perioperatórias que podem afetar a segurança do paciente. Tais complicações incluem problemas respiratórios, hipotensão, náuseas e vômitos, lesões neurológicas, entre outros. Considerando, portanto, as mais prováveis complicações anestésicas pós-operatórias em pacientes submetidos à anestesia geral, faz-se necessário pontuar a importância da adequada avaliação pré-operatória feita pelo médico anestesiologista, com atenção ao histórico médico do paciente. Considerações finais: Destaca-se que a segurança do paciente em anestesia geral é uma preocupação primordial para os profissionais de saúde, pois complicações perioperatórias podem resultar em morbidade, mortalidade e custos adicionais de cuidados de saúde.
FRANCISCO DE VITÓRIA:UM ESTUDO SOBRE A EXISTÊNCIA DE SUBJETIVIDADE JURÍDICA, A PARTIR DA PRIMEIRA RELECTIO (DE INDIS ET DE IURE BELLI)
Authors: Porto Rômulo Albuquerque , Sousa Estevão Mota
Published: January 2025

Analisa-se a primeira relectio, De Indis et de Iure Belli, de autoria de Francisco de Vitória, para observar se nela está contido algum conceito de subjetividade jurídica. Para isso, perquire-se se a concepção jurídica em Vitória é (in)condicionada ao posicionamento social em que o sujeito se encontra. Com isso, observa-se que Francisco de Vitória acresce nova concepção de iuris, a qual é aberta ao conceito de subjetividade jurídica que se não encontrava em São Tomás de Aquino, paradigma teológico e filosófico de Vitória.
Investigation of the Impact of Alloying Elements on the Mechanical Properties of Superalloys Using Explainable Artificial Intelligence
Authors: Emin Berkay , Uzunoğlu Yusuf , Alaca Yusuf
Published: January 2025

This study investigates the impact of alloying elements on the mechanical properties of Ni-Cr-Fe-based superalloys using a computational materials science approach. Fifty different compositions of superalloys, commonly known as Inconel and Incoloy, were modeled using the JMatPro software. The mechanical properties, including 0.2% proof stress (MPa), fracture stress (MPa), and Young’s modulus (GPa), were simulated across a temperature range from 540°C to 920°C at 20°C intervals for each alloy. The simulation generated a comprehensive dataset comprising 1000 rows. This dataset was then utilized to train an explainable artificial intelligence (XAI) model, leveraging advanced techniques such as SHAP (SHapley Additive exPlanations), LIME (Local Interpretable Model-agnostic Explanations), and Partial Dependence Plots (PDP). The dataset was analyzed using an XAI-based regression model employing the XGBoost algorithm. The interpretability graphs were analyzed to evaluate the individual contributions of each alloying element to the mechanical properties over the entire temperature range. The findings provide detailed insights into the positive or negative effects of alloying elements, enabling a better understanding of their role in optimizing superalloy performance under various thermal conditions. This work highlights the potential of integrating computational materials modeling and explainable AI to advance the design and development of high-performance materials.
Transforming the Diabetes Mellitus Diagnosis and Treatment Using Data Technology: Comprehensive Analysis of Deep Learning and Machine Learning Methodologies
Authors: Anggriani Dwi , Mustamin Syaiful Bachri , Sahriani  , Atnang Muhammad , Fatmah Siti , Mar Nur Azaliah , Fajar Nurhikmah
Published: January 2025

Recent research in health data analysis has transformed our understanding, prediction, and management of diabetes mellitus. This review explores various approaches used in related studies to enhance understanding and management strategies of diabetes through data analysis. Various data analysis methods, including machine learning such as neural networks, Gaussian Process Classification (GPC), and deep learning, have been used to enhance illness management and forecast accuracy. One of the included studies created customised care plans and used data to forecast the likelihood of complications in diabetes.. Another focused on comparative approaches for diabetes diagnosis using artificial intelligence, while others explored disease classification techniques using GPC algorithms. On the other hand, some studies utilized deep learning to identify diverse trajectories of type 2 diabetes from routine medical records, while others developed wide and deep learning models to predict diabetes onset. This review notes that data analysis approaches have significantly advanced accuracy in diagnosis, predictive modeling, and disease management of diabetes. Integrating these technologies allows for more personalized treatment approaches, where patient data can tailor individualized care strategies. Study findings indicate that machine learning and deep learning applications not only enhance prediction accuracy but also unlock new potentials in identifying risk factors, managing complications, and preventing diseases. Thus, this review provides profound insights into how data analysis has shifted paradigms in diabetes management, extending beyond diagnosis and treatment to encompass prevention and long-term management of chronic diseases. These studies lay a robust foundation for further research in developing more sophisticated and effective approaches in health data analysis, ultimately aiming to enhance the overall quality of life for patients with diabetes.
Integration of Technology and Islamic Education in the Digital Era: Challenges, Opportunities and Strategies
Authors: Mar Nur Azaliah
Published: January 2025

This literature study describes various important aspects of technology integration and Islamic education in the digital era. First, the integration of technology in learning shows educators' high confidence in the benefits of technology to improve the teaching process, although there are concerns regarding infrastructure and student readiness. Second, studies on the challenges of Islamic education in the digital era highlight the spread of misinformation and the negative impact of social media, which can be addressed by strengthening digital literacy and the integration of Islamic values ​​in the curriculum. The role of social media in Muslim society is found to be beneficial for spreading religious teachings, but it also has moral risks if it is not used wisely in accordance with religious values. The transformation of Islamic boarding schools in this disruptive era requires the adaptation of modern technology in teaching traditional Islamic values ​​such as tarbiyah, ta'lim, and ta'dib. Integration of science and Al-Qur’an in Islamic universities identifies the challenge of coordinating the integration vision throughout the university with its implementation at lower levels. This study provides insight for stakeholders to strengthen Islamic education in the digital era with an approach that meets the demands of the times, while maintaining classical religious values.
A Systematic Review of Telemedicine in Pediatrics Evidence from Randomized Controlled Trials
Authors: Atnang Muhammad , Samsidar Samsidar , Bachri Mustamin Syaiful
Published: January 2025

Telemedicine has emerged as an important innovation in pediatric health care delivery, particularly in addressing issues of accessibility and quality of care. This systematic review focused on randomized controlled trials (RCTs) conducted over the last decade to assess the effectiveness of telemedicine in pediatric care. This review identified that telemedicine increases healthcare accessibility, increases patient satisfaction, and contributes to favorable treatment outcomes across a variety of health conditions. However, a significant gap identified was the lack of an up-to-date systematic review evaluating the current evidence regarding telemedicine in pediatrics. In response to this gap, this study provides a systematic and comprehensive evaluation, without using a specific theoretical framework, but rather focusing on the integration of recent evidence. Amid ongoing debate regarding the effectiveness of telemedicine in the pediatric setting, this review emphasizes the need for more RCTs to fill gaps in the existing literature. Overall, this literature review directs the future research agenda by highlighting the need for a more holistic and integrated approach to the utilization of telemedicine in pediatrics. With a focus on improving the quality of services and developing adequate policies, this research aims to make a significant contribution to the understanding and implementation of telemedicine in the future.
Toxicity Test of Red Yeast Rice Extract as A Product of Solid Fermentation of Monascus purpureus
Authors: Lina Rahmawati Rzkuloh  , Slamet Ibrahim  , Marlia Singgih
Published: January 2025

Red yeast rice (Known as Angkak in Indonesia) is a product of rice fermentation from Monascus purpureus, a specific type of mold that produces a secondary metabolite, namely monacolin K; found to be effective in reducing cholesterol levels. Subsequently, toxicity is the ability of a substance to induce functional, biochemical, or physiological disturbances leading to pain, and discomfort, as well as interfering with general body conditions. Therefore, this study aims to determine the potential toxic effects, mortality rates, and liver function damage, as indicated by SGPT and SGOT parameters, in rats. Solid fermentation method was used for rice fermentation. Test animals used were 25 white rats, exposed to graded doses: dose 1 (5mg/kg BW rats), dose 2 (50mg/kg BW rats), dose 3, (300mg/kg BW rats), and dose 4 (2000mg/kg BW mice). Observations were carried out for 14 days with a single dose. To determine liver damage, blood was taken through the lateral vein on day 14, the resulting data was processed using statistical analysis. The results showed that Angkak extract containing monacolin K did not exhibit a toxic effect and did not cause death. However, there was an impact on liver damage parameters, as evidenced by elevated SGPT and SGOT levels at doses of 300 mg/kg BW rats and 2000 mg/kg BW rats, exceeding normal levels.
Smart Sensors and Intelligent Analysis: A Literature Review on More Effective Early Warning Systems with IoT and Machine Learning
Authors: Mustamin Syaiful Bachri , Atnang Muhammad , Sahriani Sahriani , Fajar Nurhikmah , Sari Sri Kurnian , Pahlawan Muammar Reza , Amrullah Mujahidin
Published: January 2025

The IoT system described in the article "LoRaWAN-Based IoT System Implementation for Long-Range Outdoor Air Quality Monitoring" monitors air quality in real-time and transmits data through a LoRaWAN network to a public IoT platform. It measures seven key air quality parameters: nitrogen dioxide (NO₂), sulfur dioxide (SO₂), carbon dioxide (CO₂), carbon monoxide (CO), PM2.5, temperature, and humidity. These parameters were chosen for their significant effects on air quality and human health. NO₂ and SO₂ come from fossil fuel combustion and can cause respiratory issues and acid rain. CO₂ contributes to climate change, while CO is toxic and harmful to health. PM2.5 particles can lead to respiratory and cardiovascular problems. The system uses sensors connected to an Arduino microcontroller to collect data, which is transmitted through a LoRa Shield to a LoRaWAN gateway. Data is then sent to The Things Network (TTN), integrated with ThingSpeak, and displayed on a web dashboard. Additionally, it is synchronized with the Virtuino smartphone app for mobile monitoring. The system has been validated by comparing its data to Aeroqual air quality monitors, demonstrating reliable real-time monitoring and transmission of air quality information over the internet.
Data-Driven Road Safety: A Machine Learning Framework Utilizing Open Traffic Data
Authors: H. Abdelati Mohamed , Al-Hussein Matar  , Hilal A. Abdelwali  , Ebram F.F. Mokbel  , M. Rabie
Published: January 2025

Road traffic accidents continue to be a problem across the world and according to statistics cause high mortality and economic losses. This research work conceptualizes an idea that will use open traffic data and machine learning models to forecast accidents on roads in order to promote road safety. Based on the presented literature review, the framework incorporates a step-by-step procedure to analyze risk factors for targeted safety interventions, including data pre-processing and feature selection, application of a chosen model for high-risk zones identification, and improving the result by altering related factors. The findings show the applicability of open data and predictive analysis in traffic safety matters, with special emphasis on temporal, spatial, and environmental features. Resources allocation, urban traffic control, and monitoring are cases used to illustrate the framework's applicability. Although this is a conceptual model, the challenges, such as data quality, data privacy issues, and practical issues with implementation, are also included in the framework, along with suggestions for future research, such as the use of stream data and improved modeling techniques. This investigation contributes to the literature as a robust theoretical model from which practical solutions for road traffic safety interventions can be derived to reduce and ultimately eliminate traffic accidents and fatalities worldwide.
Transparansi dan Auditabilitas Data Pribadi dalam Layanan Berbasis Cloud Pada Proyek PACE: Studi Literatur
Authors: Mustamin Syaiful Bachri , Atnang Muhammad , Sahriani  , Hikmah Nur , Samsidar
Published: January 2025

Ulasan komprehensif ini mengeksplorasi pendekatan-pendekatan beragam dalam meningkatkan privasi dan keamanan dalam manajemen data di berbagai bidang. Studi pertama menyajikan kerangka konseptual yang bertujuan untuk memperkuat privasi dan keamanan dalam manajemen data kota cerdas dengan mengintegrasikan kecerdasan buatan dan pemodelan big data. Meskipun analisis data empiris absen, kerangka konseptual tersebut memberikan wawasan penting tentang kemungkinan kemajuan. Studi kedua menelusuri proyek Privacy-Aware Cloud Ecosystems (PACE), berfokus pada teknologi blockchain untuk meningkatkan transparansi dan auditabilitas dalam pemrosesan data pribadi berbasis awan. Meskipun secara utama berorientasi pada masa depan, teknologi yang dikembangkan menjanjikan peningkatan privasi dan keamanan data dalam komputasi awan. Tinjauan literatur dalam studi ketiga mengevaluasi tren dan tantangan dalam menerapkan keamanan dan blockchain dalam Internet of Multimedia Things (IoMT), memberikan wawasan berharga meskipun tanpa temuan empiris langsung. Terakhir, sebuah studi eksperimental memperkenalkan sistem pengolahan data berbasis blockchain dan differential privacy untuk komputasi perkotaan, melaporkan kinerja sistem dan peningkatan keamanannya. Meskipun metodologi beragam, setiap studi memberikan kontribusi pada diskusi yang lebih luas tentang privasi dan keamanan data, menawarkan wawasan, kerangka kerja, dan inovasi teknologi untuk penelitian dan implementasi praktis di masa depan.
Studi Literatur Deep Learning dan Machine Learning untuk Analisis dan Prediksi Pasar Saham: Metodologi, Representasi Data, dan Studi Kasus
Authors: Sari Eka Purnama , Mustamin Syaiful Bachri , Atnang Muhammad , Sahriani  , Fajar Nurhikmah
Published: January 2025

Penelitian ini mengkaji penggunaan model Machine Learning (ML) dan Deep Learning (DL) untuk peramalan harga saham, sebuah topik yang semakin relevan di sektor keuangan. Model ensemble "Random Forest + XG-Boost + LSTM" terbukti memiliki kinerja yang lebih baik dibandingkan model ML dan DL lainnya, menunjukkan bahwa integrasi model dapat meningkatkan akurasi prediksi. Penelitian lain juga menyoroti potensi jaringan deep learning untuk analisis pasar saham, menemukan bahwa jaringan saraf dapat mengekstrak informasi tambahan yang meningkatkan kinerja prediksi, meskipun sangat bergantung pada representasi data yang digunakan. Penggabungan variabel sentimen publik dari media sosial dengan variabel teknis dapat meningkatkan akurasi prediksi, terutama dalam kondisi pasar yang tidak stabil. Berdasarkan tinjauan pustaka komprehensif terhadap lebih dari 150 artikel dan menemukan bahwa algoritma ML, terutama RNN, menunjukkan kinerja unggul dalam prediksi pasar keuangan. Model yang menggunakan sentimen dari media sosial untuk memprediksi pergerakan harga saham, menunjukkan bahwa informasi sentimen dapat memberikan informasi tambahan yang signifikan untuk prediksi. Penelitian-penelitian ini menegaskan pentingnya penggunaan model ML dan DL dalam peramalan harga saham serta manfaat integrasi variabel non-teknis seperti sentimen dari media sosial dengan variabel teknis. Meski demikian, diperlukan penelitian lebih lanjut untuk memperluas cakupan data dan menguji generalisasi model pada berbagai pasar saham global serta periode waktu yang lebih panjang.
Teknologi Terkini dalam Pemantauan Infrastruktur: Tinjauan Literatur tentang Penerapan IoT dalam Pemantauan Kualitas Air dan Deteksi Retak Permukaan Jalan
Authors: Samsidar  , Kiki  , Mustamin Syaiful Bachri , Atnang Muhammad , Sahriani  , Fajar Nurhikmah
Published: January 2025

Pemantauan kualitas air dan deteksi retak permukaan jalan merupakan dua bidang penting dalam teknologi infrastruktur dan lingkungan. Artikel-artikel yang dipelajari dalam tinjauan ini memberikan wawasan mendalam tentang perkembangan terkini dalam kedua bidang tersebut, dengan fokus utama pada penerapan Internet of Things (IoT) dan teknik pengolahan citra digital. Pembahasan dalam beberapa artikel meliputi tinjauan terhadap sistem pemantauan kualitas air berbasis IoT untuk aplikasi domestik. Tinjauan ini mengidentifikasi tren, teknik, dan tantangan terkini dalam sistem tersebut, memberikan wawasan tentang potensi pemanfaatan teknologi IoT untuk pengembangan sistem pemantauan kualitas air yang lebih efisien dan aman. Implikasi dari temuan ini mencakup meningkatnya pemantauan kualitas air secara real-time untuk menjamin keamanan air minum dan potensi penerapan teknologi IoT dalam skala yang lebih luas seperti kota pintar. Namun, keterbatasan utama adalah ketiadaan studi empiris yang menguatkan temuan literatur. Pada artikel lainnya membahas pengembangan metode deteksi retak pada permukaan jalan menggunakan teknik non-lokal dalam pengolahan citra digital. Temuan ini mengungkapkan bahwa metode denoising dan peningkatan kualitas citra non-lokal dapat meningkatkan akurasi deteksi retak pada permukaan jalan, yang berpotensi digunakan dalam pemantauan kondisi jalan dan perencanaan pemeliharaan infrastruktur. Kontribusi dari penelitian ini adalah pengembangan metode deteksi retak yang lebih akurat, meskipun batasan utamanya adalah kurangnya informasi tentang validasi hasil secara lebih komprehensif.
Pengaruh Kinerja dengan Kepemimpinan Transformasional: Perspektif Teknologi dalam Meningkatkan Motivasi Karyawan
Authors: Faisal Andi , Mayansara Andika
Published: January 2025

Kepemimpinan memiliki peran penting dalam memberikan dorongan kepada karyawan agar bekerja lebih efektif dan mencapai tujuan organisasi. Kepemimpinan transformasional diyakini memiliki dampak yang signifikan terhadap motivasi kerja karyawan. Tujuan dari penelitian ini adalah untuk menilai hubungan antara kepemimpinan transformasional dengan motivasi kerja karyawan berdasarkan kajian literatur terbaru. Metode penelitian ini melibatkan studi pustaka sistematis yang dilakukan melalui berbagai artikel dan jurnal ilmiah yang terkait dengan topik tersebut dan terindeks dalam database google scholar. Kata kunci yang digunakan dalam pencarian literatur adalah "transformational leadership" dan "employee motivation". Kepemimpinan transformasional terbukti memiliki hubungan positif dan signifikan dengan motivasi kerja karyawan melalui dimensi pengaruh ideal, stimulasi intelektual, dan motivasi inspirasional. Hal ini pada akhirnya berdampak pada peningkatan kinerja, produktivitas, dan kepuasan kerja. Kesimpulan: Kepemimpinan transformasional memainkan peran krusial dalam membangun motivasi kerja dan kinerja yang optimal di berbagai konteks organisasi.
Optimalisasi Pemusnahan Barang Bad Stock menggunakan Insinerator Sederhana pada CV. TJU
Authors: Purnawan Benny
Published: January 2025

Di dalam dunia distribusi terutama distribusi makanan maka tidak luput dari kondisi BS ( Bad Stock ). BS merupakan kondisi kerusakan pada produk yang umumnya disebabkan hama, waktu kadaluarsa yang terlewati, dan kerusakan saat pengiriman.  Dimana barang BS ini tidak dapat dikonsumsi lagi karena tidak sehat dan bahkan bisa beracun.  Barang BS dapat menimbulkan polusi yaitu bau yang tidak sedap dan dapat menggangu kesehatan masyarakat di sekitar tempat barang – barang BS ini ditimbun atau dikumpulkan.  Sehingga barang – barang BS ini harus segera dimusnahkan untuk mencegah terjadinya gangguan kesehatan terhadap masayarakat sekitar dan tentunya mencegah penyalahgunaan terhadap barang BS tersebut.  Pemusnahan BS pada umumnya dengan cara dibakar secara konvensional sehingga tidak dapat di salah gunakan.  Dengan terbakarnya barang – barang BS ini maka sudah tidak dapat digunakan kembali.  Proses pembakaran secara konvnesional memakan waktu yang cukup lama dan menyebabkan kondisi lingkungan sekitar proses pembakaran dilakukan menjadi tidak kondusif dan tidak sehat.  Untuk mengatasi masalah ini maka dilakukan riset mengenai proses pemusnahan barang BS dengan pembakaran yang efektif, menghemat waktu dan biaya sehingga efisien dan efektif secara keseluruhan, serta tentunya tidak menciptakan lingkungan sekitar proses pembakaran terganggu dan menjadi tidak sehat.  Penggunaan alat insinerator sederhana yang di modifikasi ini akan mengatasi permasalah pemusnahan sampah sehingga efisiensi dan efektifitas proses pembakaran berhasil terlaksana sampai tuntas dan masalah sampah tersebut dapat diatasi. Serta tidak menyebabkan keracunan dioksin, dimana ini dapat timbul apabila pembakaran dilakukan tidak sesuai dengan kondisi pembakaran yang baik.
Identifikasi Kelengkapan Resep Anak secara Administrasi Farmasetik dan Klinis (Dosis) di Apotek X Surabaya
Authors: Lubada Eziah Ika , Fandinata Selly Septi , Zakiyah Farah Afifatuz
Published: January 2025

Resep merupakan permintaan dari penulis resep untuk menyediakan dan menyerahkan obat sesuai peraturan sehingga harus tercantum informasi lengkap agar farmasis bisa mendeteksi potensi kesalahan sebelum obat disiapkan dan diberikan ke pasien. Skrining peresepan dilakukan untuk mencegah kesalahan pengobatan atau pemberian obat pada semua resep tanpa pengecualian. Penelitian ini bertujuan untuk mengidentifikasi kelengkapan resep anak di Apotek X Surabaya pada periode September-November 2023. Penelitian menggunakan observasional deskriptif secara retrospektif dengan total 313 resep yang dianalisis. Hasil penelitian menunjukkan bahwa dari aspek administrasi tidak lengkap 100% meliputi nama pasien, nomor rekam medis, nama dokter, alamat dokter, surat izin praktik, tanggal penulisan resep, usia, berat badan , jenis kelamin, alamat, nomor telepon pasien dan paraf dokter. Aspek farmasetik menunjukkan 99.36% Lengkap meliputi nama obat, aturan pakai, jumlah sediaan,  bentuk sediaan dan kekuatan sediaan. Namun, untuk aspek klinis kesesuaian dosis hanya 7,67% yang sesuai dengan dosis menurut literatur.
Faktor-Faktor yang Berhubungan dengan Perilaku Ibu Balita Dalam Pencegahan Stunting di Wilayah Kerja UPTD Puskesmas Ulee Kareng Kota Banda Aceh
Authors: Mahdalena Mahdalena , Amelia Kiki Rezeki , Zuhkrina Yuli
Published: January 2025

Masalah stunting adalah salah satu isu penting dalam dunia kesehatan anak-anak yang masih menjadi perhatian besar karena akan berdampak pada jangka panjang dan juga jangka pendek. WHO mencatat kasus kematian anak umur 6-12 tahun di dunia mencapai 2 juta jiwa yang disebabkan karena masalah gizi terutama akibat stunting. Di Indonesia pada tahun 2022 angka stunting mencapai menjadi 21,6%. Angka stuting di Kota Banda Aceh naik dari 23.4% menjadi 25,1% atau bertambah sebesar 1,7%. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang berhubungan dengan perilaku ibu balita dalam pencegahan stunting di wilayah kerja UPTD Puskesmas Ulee Kareng Kota Banda Aceh. Penelitian ini menggunakan metode survey analitik dengan pendekatan crossectional study. Populasi pada penelitian ini adalah seluruh balita yang ada di Wilayah Kerja UPTD Puskesmas Ulee Kareng sebanyak 1163 orang. Teknik pengambilan sampel menggunakan simple random sampling yaitu 92 orang. Analisa data menggunakan uji Chi-Square Test (x2) pada tingkat kemaknaannya yaitu 95% (P<0,05). Hasil uji statistik menunjukkan terdapat hubungan pengetahuan (p-value=0,027), sikap (p-value=0,001), pendidikan (p-value=0,006) dan pendapatan (p-value=0,041) dengan perilaku ibu dalam pencegahan stunting. Ada hubungan pengetahuan, sikap, pendidikan dan pendapatan dengan perilaku ibu dalam pencegahan stunting. Bagi tempat penelitian diharapkan dapat menjadi bahan masukan dalam memberikan pendidikan kesehatan bagi ibu balita tentang pentingnya pencegahan stunting serta bekerjasama dengan pihak-pihak terkait untuk memberikan penyuluhan agar ibu berperilaku baik dalam pencegahan stunting.
Education in the Digital Age: Highlighting the Gap between Physical and Virtual Classroom Environments
Authors: Kumari Bishakha , Maity Anandita
Published: January 2025

With the advancement in technology each passing day, the world has now moved towards a new dimension of reality i.e., The Virtual Reality. From Letters to Email, theatres to OTT platforms, In-cash to Cashless Transactions, window shopping to E-marketplace, workplace culture to remote working concept (Work from Home), classroom education to online learning and many more. The major point of concern is the shift in educational methods since it is among the major factors affecting the development of an individual. The Covid 19 pandemic has brought in a complete revolution in the field of education. The compulsion to maintain continuity in education has opened up a whole new concept of virtual classrooms via Google Meet, Zoom, Webex, and others. The students were forced to sit in front of a screen with muted mics gazing absent-mindedly. Some of the students as well as teachers were and still are lacking the proficiency with virtual tools and platforms. This proved not to be a student-friendly method as the lack of face-to-face interactions led to a sense of isolation and misunderstanding between both. Traditional Classroom methods allowed both the student and teachers to have a two-way conversation enabling them to explore different aspects of gaining knowledge. The traditional classroom learning also enables the student to develop a sense of unity with their fellow classmates leading them to exercise teamwork, leadership qualities, time management, discipline which is deficient in the virtual methods. The study aims to highlight the gap between the virtual and physical classroom environments and the fact that physical classrooms are way more effective and productive as compared to Virtual Classrooms.
Toxina botulínica além da astética: Explorando suas indicações terapêuticas
Authors: Ferreira Rodrigues Grazielly , Rodrigues Gracilene Gomes Ferreira , Ferreira Marlene Gomes
Published: January 2025

A toxina botulínica, conhecida principalmente por suas aplicações estéticas, tem demonstrado um potencial terapêutico significativo em diversas áreas da medicina. Sua capacidade de modular a atividade neuromuscular a torna uma opção promissora para o tratamento de condições além do uso cosmético, incluindo distúrbios neuromusculares, enxaquecas crônicas, hiperidrose e bruxismo. Portanto, este projeto tem por foco analisar as indicações clínicas do uso da toxina botulínica, bem como seus benefícios e desafios associados. Trata-se de uma revisão integrativa da literatura. Os resultados indicam que a toxina botulínica é eficaz no tratamento de uma variedade de condições terapêuticas. Em distúrbios neuromusculares, como espasticidade e distonia, a toxina mostrou uma redução significativa nos sintomas e melhoria na função muscular. No tratamento de enxaquecas crônicas, observou-se uma redução na frequência e intensidade das crises. Para a hiperidrose, a toxina proporcionou alívio notável do suor excessivo, enquanto no bruxismo, a redução da atividade muscular aliviou a dor e o desgaste dental. A discussão destaca a eficácia da toxina botulínica, os mecanismos de ação subjacentes e as considerações sobre segurança. Portanto, A toxina botulínica oferece benefícios terapêuticos significativos além de suas aplicações estéticas, mostrando-se eficaz no manejo de várias condições médicas. A sua capacidade de modular a atividade neuromuscular proporciona alívio e melhora na qualidade de vida dos pacientes, representando uma ferramenta valiosa na prática clínica.
Fatores de risco e estratégias de prevenção na Diabetes gestacional
Authors: Souza Renata Ruiz de , Costa Déborah Figueira da , Kodama Francine Batistela de Oliveira , Pereira Mayara Gomes , Nascimento Fabio Rodrigo Barbosa Dutra , Silva Iasmyn Fernanda da Paixão , Dias João Vitor Duarte Henrique , Oliveira Geórgia Terceiro de , Lima Alex de Barros , Braga Tâmara Galdino , Lins Letícia da Costa , Magalhães Aliandro Willy Duarte , Silva Laura Abbate , Moreno Larissa Oliveira Soave , Guimarães Reyvson de Queiroz , Silva Fellipe Ariel de Lucena , Machado Gustavo Frederico Barbosa
Published: January 2025

O presente estudo revisou os fatores de risco e as estratégias de prevenção na diabetes gestacional, utilizando uma abordagem de revisão integrativa. O objetivo foi identificar os principais fatores de risco associados ao desenvolvimento da diabetes gestacional e propor estratégias eficazes de prevenção para reduzir sua incidência e melhorar os desfechos materno e fetal. A metodologia consistiu em uma revisão integrativa realizada nas bases de dados Scientific Electronic Library Online (SCIELO), Cochrane e Medline, utilizando descritores de ciências da saúde relacionados ao tema, como “Diabetes, Gestational”, “Risk Factors” e “Disease Prevention”. Os resultados mostraram que fatores como obesidade, idade avançada, histórico familiar de diabetes, etnia e a síndrome dos ovários policísticos aumentam o risco de desenvolvimento da doença. As estratégias de prevenção incluem controle do peso, prática regular de exercícios físicos, e controle de condições pré-existentes.