bluuebunny/crossref_metadata_2025 huggingface dataset:
AI Empowers Graphic Design Education: Innovation and Breakthrough
Authors: Wang Yang , Cheng Lijia , Lu Fei , Zeng Ailifei , Lu Ling
Published: February 2025

In the 1950s, the scientific community first proposed the term "Artificial Intelligence" (AI). Against the backdrop of rapid technological development in the 21st century, the application fields of AI technology are becoming increasingly widespread, penetrating every corner of our work and life. From the perspective of AI's impact on graphic design education, it can provide designers with more inspiration, express more accurately what designers want to convey, and also promote the updating of graphic design course content, thereby continuously cultivating students' comprehensive abilities. AI's integration into graphic design education has led to the development of intelligent design tools that can automatically generate design drafts based on given parameters, thus significantly reducing the time required for the initial design phase. Moreover, AI can analyze trends and user preferences, offering designers insights that can guide their creative process. As a result, the educational curriculum must evolve to include the study of AI algorithms and their applications in design, ensuring that future designers are well-equipped to leverage these powerful tools. This shift not only enhances the efficiency and innovation in the design field but also prepares students for the demands of a future job market that will increasingly rely on AI-assisted design solutions.
Application of The Naïve Bayes Algorithm for Hate Speech Detection
Authors: Dayanto Novera Tri
Published: February 2025

The spread of hate speech on social media using Indonesian continues to increase. Hate speech has become a problem that is detrimental to human life in society. In this research, the Naive Bayes algorithm is implemented to detect hate speech in social media comments. The dataset used in this research consists of 10,000 Indonesian language social media comments labeled as “Hate Speech” and “Non-Hate Speech”. Accuracy for data processed using TF-IDF is 85% for Indonesian language data. Based on the results, Naive Bayes is a simple but effective analytical approach in detecting hate speech.
Designing Sign System in Sirah Kencong Blitar as A Tourists Information Media
Authors: Pracakaputra Rezkyanori Novembra Pramadhani , Kusumasari Adita Ayu
Published: February 2025

Blitar Regency, which is located in East Java Province, offers interesting natural and cultural riches. According to Detik Travel, as of April 2023, there are 35 tourist attractions that attract the attention of visitors, making Blitar a popular destination. One of them is Sirah Kencong, a tourist area with unique advantages. However, the current sign system is still traditional and less effective in providing clear guidance to visitors. By applying visual communication design and semiotic theory, this redesign is expected to improve navigation, provide more complete information, and increase a satisfying tourist experience. Significant visit data shows the need to improve information infrastructure to support sustainable tourism growth. It is hoped that the implementation of an innovative, consistent and inclusive sign system can optimize the natural tourism potential of Sirah Kencong by presenting clear information and supporting the overall visitor experience.
System Security Testing Using The Penetration Testing Method on The Palapa Vocational School Library Website
Authors: Koswara Wawan , Sulistiani Heni , Ramadhan Surya
Published: February 2025

The Palapa Library utilizes its website as the primary platform for providing information and services to users. However, the presence of vulnerabilities in the website poses significant threats to data and system security. This study aims to identify and analyze vulnerabilities on the Palapa Library website using the Penetration Testing method based on the NIST SP 800-115 standard. This method involves four stages: planning, discovery, attack, and reporting. The testing results identified two major vulnerabilities: sensitive information disclosure and SQL Injection. Once the vulnerabilities were identified, their severity levels were assessed using the Common Vulnerability Scoring System (CVSS) version 3.1. CVSS provides scores for the vulnerabilities, helping prioritize remediation efforts from the highest to the lowest risk. Based on the assessment results, appropriate remediation measures were developed to enhance the security of the Palapa Library website. This study is expected to serve as a reference for preventing similar security threats in the future and assisting other institutions facing similar challenges in improving the security of their information systems.
Student ID Validation Monitoring System
Authors: Muelan Aira Mae Failagao , Decomotan Kyla Marie Garantosa , Lebuna Jerico Nique
Published: February 2025

The Student ID Validation Monitoring System (SIVMS) is a web-based system aimed to monitor students' ID validation status at Iloilo Science and Technology University Miagao Campus. This system was created to address the challenge faced by the Office of Student Affairs and Services Miagao Campus in ensuring only students with validated ID are in the campus, enhancing safety, and security. By utilizing QR code scanning technology, the system ensures quick and accurate tracking of student validation status. The main objective of the study was to develop a system that manages student profiles, generates unique QR codes for each student, and enables security personnel to monitor student ID validation status. The system also has the ability to generate reports and was evaluated using the ISO 25010 software quality model. Built with HTML, CSS, PHP, and MySQL, the system followed the Iterative Software Development Methodology, ensuring continuous improvements through user feedback. The evaluation results, based on the ISO/IEC 25010 criteria, showed an overall rating of "excellent," with a mean score of 4.52. The system met the standards for functional suitability, performance efficiency, compatibility, usability, reliability, security, maintainability, and portability. In conclusion, the study successfully achieved its goal of developing the SIVMS, improving campus security, and supporting university policy enforcement.
Development of a Financial Management Application for Boarding Students Using the Waterfall Method An Effective Solution for Managing Budgets and Expenses
Authors: Muhammad Nibras Faiq , Andhini Asmara
Published: February 2025

Financial management is a considerable difficulty for students residing in boarding homes, who often possess restricted revenue sources and diverse expenditure requirements. An extravagant lifestyle coupled with inadequate financial literacy frequently results in students encountering difficulties with budgeting and experiencing financial crises at month’s end. This study seeks to create a web-based financial management tool employing the Waterfall methodology, intended to assist students in documenting income and expenditures, managing budgets, and enhancing their financial literacy. The Waterfall technique is methodically executed through the phases of requirements analysis, design utilising UML, implementation employing tools such as Vscode and MySQL, and testing to verify the application's operation. This program has transaction recording capabilities, financial reporting, and profile management, enabling students to efficiently track cash flow and assess spending habits. The research findings indicate that this application assists students residing in boarding homes in managing their funds more systematically, mitigates the danger of extravagance, and enhances awareness of the significance of effective financial management. This application aims to enhance students' independence in money management and facilitate their preparation for a secure financial future
Heartcare: Predictive Analytics for Early Detection and Prevention
Authors: Rosli Daniyal , Din Mazura Mat , Idrus Zanariah
Published: February 2025

Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, often due to late detection and prevention. Heartcare aims to leverage predictive analytics to facilitate early detection and prevention of heart diseases. By integrating machine learning algorithms such as Decision Trees, Random Forests, and Logistic Regression, Heartcare provides healthcare professionals with a powerful tool for patient health monitoring. This study focuses on developing a predictive model to assess heart disease risk using patient-specific data, such as age, sex, BMI, and lifestyle factors. The outcomes will enable healthcare professionals to make informed decisions, potentially saving lives and reducing healthcare costs.
The Role of Data Science in Optimizing Business Decisions in the Digital Era
Authors: Samudra Dewa , Ulya Annisa Zulfa , Sulitiani Heni
Published: February 2025

Data science has become a key element in business transformation in the digital era. With the ability to analyze large and diverse datasets, data science helps organizations identify patterns, make predictions, and support strategic decision-making. The application of technologies such as machine learning, big data, and artificial intelligence enables companies to enhance operational efficiency, understand consumer behavior, and create relevant innovations. This article discusses the role of data science in supporting the growth of digital businesses, the challenges faced, and the opportunities companies can leverage to achieve a competitive advantage.
From Waste to Worth: Unlocking the Potential of Liquid Biomethane for a Decarbonized Energy Future
Authors: Muchiri Kang’ethe B , Odoyo Wilfred O , Kagere Kabugo E , Wambui John K
Published: February 2025

Liquid biomethane (LBM), derived from purified biogas, is a low-carbon, renewable energy source that can contribute to energy security and climate change mitigation. LBM produces a transportable, high-density fuel that can replace fossil fuels in a range of industries by turning organic waste into a liquid energy source. This study looks at the properties of liquid biomethane, the processes required to produce and liquefy it, and its use in transportation, industry, and power generation. The report highlights the ways in which LBM advances worldwide decarbonization efforts, reduces greenhouse gas emissions, and aids in waste management. Technical challenges and emerging opportunities are also discussed to chart the path for LBM's adoption in a sustainable energy future.
An Analysis of Family Structures and Daily Life Among the Sea Tribe in Riau: A Cultural Perspective
Authors: Nurfitri Rina , Fitri Yolanda
Published: February 2025

This study explores the family structures and daily life of the Sea Tribe in Riau, focusing on their unique cultural practices, social dynamics, and adaptation to their maritime environment. The research employs a qualitative approach, utilizing ethnographic methods such as in-depth interviews, participant observation, and document analysis. The findings reveal that the Sea Tribe’s family structures are shaped by their communal living patterns, with strong kinship ties playing a central role in social organization and decision-making. Daily life revolves around traditional maritime activities, including fishing, boat building, and trading, which are integral to their economic and cultural identity. Furthermore, the study highlights the intergenerational transmission of knowledge and the role of rituals in strengthening familial and community bonds. Challenges such as modernization, environmental changes, and shifting socio-political landscapes are also examined, shedding light on how these factors impact their way of life. This research contributes to the understanding of indigenous maritime communities and emphasizes the importance of preserving the cultural heritage of the Sea Tribe in Riau amidst rapid global change
Information Systems Audit Using the 2019 COBIT Framework with Domain DSS01 and BAI04 on the Grand Landak Hotel Reservation System
Authors: Achmad Fatih Nur , Pranata Yolia Budi , Sembiring Milala Efria Surya
Published: February 2025

Grand Landak Hotel is one of the hotels that has implemented information systems in their operations, one of which is the room booking or reservation section. At this time the reservation system is used by the front office of the hotel by the receptionist, which is part of the hotel's front office. Therefore the system must be able to manage, store and maintain data security and the system can operate when there is an increase in reservations. So this research aims to evaluate the operational efficiency and availability of the reservation system in the Front Office Department of the Grand Landak Hotel using the COBIT 2019 framework. This research focuses on two main domains, namely DSS01 (Managed Operations) and BAI04 (Managed Availability and Capacity). While the data was obtained through interviews with the general manager and front office staff of the hotel. The results showed that the service process has been running well with a result of 49.4 percent and for capacity of 54.8 percent but technological innovation requires more attention, especially in actively involving employees in the process of implementing new systems.
Embedding the Management System Information into Circular Education System through the Smart IoT: A Front Analysis
Authors: Tsaniya Uswatul Wadhichatis , Rahaeni Putri Fauziah Eka , Candrikaningtyas Shofia , Susilo Herawati
Published: February 2025

This research explored how to embed the management system information into circular education system through the smart IoT. Besides, the front analysis of this research aimed to determined what form of IoT that educators need to help them in organized their system information. This research involving qualitative descriptive methods to get the analytical profound through survey technic within cross sectional design. To harvest the front analysis, this research employed 54 educators from any background study within 54 different school’s department consist of public and private schools. The results show that 85.19% of respondents has been including IoT in their school activity, 5.56% occasionally used IoT, and 9.26% not using IoT yet. The majority of IoT that used are projectors, laptop and CCTV. Besides, the platform that usually used are google and YouTube. In the context of information systems management, 100% of educators argue that they need for specialized IoT that can integrate all learning information systems including learning materials, grades, attendance, and tracking students’ activities. This will enable the information systems management to be transparent and easily accessible to all stakeholders in a circular education system. Based on survey data analysis, teachers expressed a desire for a specialized platform that could involve parents more actively.  Additionally, by involving parents, educational transparency can be synergized effectively, ensuring a more robust circular education system. In conclusion, this research recommends for future IoT development to create the IoT that consist of a complete school information management system, and it can be used by students, teachers, and parents, while keeping everyone's information private.
Pengenalan Perencanaan Desain Trase Baru menggunakan Software Civil 3D dan Infraworks sebagai Produk Pembelajaran Project Based Learning kepada Siswa MAN 2 Kota Madiun
Authors: Aghastya Adya , Apriliani Nurul Fitria , Astuti Septiana Widi , Nurhadi Muhamad
Published: February 2025

Teknologi perkeretaapian yang semakin berkembang maju dan moda perkeretaapian yang cukup banyak diminati oleh masyarakat dengan berbagai kelebihannya menjadikan kereta api menjadi topik menarik untuk bahan pembelajaran. Perencanaan pembangunan prasarana perkeretaapian juga perlu di kenalkan kepada masyarakat sejak dini. Kegiatan ini bertujuan untuk mengenalkan beberapa perangkat lunak untuk desain dan aplikasinya dalam perkeretaapian. Tujuan kegiatan ini dapat meningkatkan pemahaman peserta terhadap aplikasi-aplikasi dan dapat mengaplikasikannya dalam kehidupan sehari-hari. Peserta kegiatan pengabdian kepada masyarakat adalah siswa MAN 2 Kota Madiun. Kegiatan dilakukan dengan beberapa metode yaitu pemaparan materi di kelas oleh narasumber, pameran  yang menampilkan produk desain serta kunjungan ke lapangan. Tingkat pemahaman peserta terhadap trase kereta api, prasarana perkeretaapian dan software Civil 3D dan Infraworks sangat tinggi mencapai 90,5%.
Performance of Arabic Language Learning Participation at Ponpes Al-Ikhwan Serapuh ABC
Authors: Sinaga Lusiana , Lubis Tasnim
Published: February 2025

This study aimed to describe the performance of Arabic language learning participation at Al-Ikhwan Serapuh ABC Islamic Boarding School. The ethnographic method proposed by Spradley [1][2] was applied in this research, from collecting data to analyzing it. The participation theory uses the participation structure proposed by Philips, and the participation framework uses Goffman's opinion[3]. The data were text, co-text, and context on Arabic language learning situations. The data were collected through recordings, interviews and participant observation. This study focused on finding the patterns of participation performance in the Arabic language learning process in the classroom through an anthropolinguistic approach [4]. The study results showed that students' participation in learning Arabic is a performance of testing, confirming and curious. The pattern of participation obtained is important data that can describe the phenomenon of speaking activity.
СУЧАСНІ ВИМОГИ ТРАНСФОРМАЦІЇ СОЦІОЕКОНОМІЧНОЇ СИСТЕМИ ДЛЯ УКРАЇНИ
Authors: Рябков С. О.
Published: February 2025

Соціально-економічна система України в сучасних умовах зазнає масштабних трансформацій, що зумовлені різноманітними внутрішніми та зовнішніми факторами. Основною метою є подолання пострадянських економічних структур і встановлення стійкої ринкової економіки, яка інтегрується у глобальну та європейську економічну систему. Для досягнення цієї мети необхідно врахувати низку ключових чинників, що включають макроекономічну політику, структурні реформи та розвиток державного і приватного секторів. Геополітична ситуація, що характеризується тривалою агресією з боку Росії, анексією Криму та активними бойовими діями на сході України, створює додатковий тиск на економіку країни. Окрім цього, зростає необхідність адаптації до змінних демографічних тенденцій, зокрема до старіння населення, зростання обсягів міграції до Європи та змін у структурі зайнятості. Інший важливий аспект – екологічні виклики, включаючи погіршення стану довкілля та потребу у переході до «зеленої» економіки. З огляду на інтеграцію України до Європейського Союзу та її Угоду про асоціацію з ЄС, актуальними стають адаптація стандартів до європейських вимог, проведення антикорупційних реформ, реформування судової системи, модернізація державних інститутів та енергетичної інфраструктури. Тому дослідження соціально-економічної системи України є актуальним і важливим для її подальшого розвитку та інтеграції в міжнародну спільноту. Статтю присвячено характеристиці елементів соціоекономічної системи та аналізу їх сучасних особливостей для впровадження трансформацій в Україні. В статті розглядаються історичні та сучасні теорії і концепції економічних систем. Визначено ключові особливості сучасного підходу до формування соціоекономічної структури та унікальні особливості соціоекономічної системи України в сучасних умовах. Наведені результати досліджень впливу на соціально-економічну систему України зовнішніх чинників, таких як геополітична нестабільність, активні військові дії на сході України, анексія Криму, а також російська агресія та міжнародні санкції. Розкрита динаміка змін таких соціоекономічних показників як сприйняття корупції, безробіття та стан ринку праці, рівень доходів та інфляційний тиск, вплив міграційних процесів. Відображено, як ці фактори накладають обмеження на стабільність і розвиток України та причини, які викликають потребу в трансформації та адаптивних економічних рішень.
ДЕРЖАВНИЙ БОРГ УКРАЇНИ 2024: СУЧАСНИЙ СТАН ТА ВПЛИВ НА ЕКОНОМІКУ КРАЇНИ
Authors: Подаков Є. С.
Published: February 2025

Державний борг є важливою складовою ринкової економіки. Сьогодні важко знайти державу, яка змогла б обійтися без запозичень. Використання державою позик зумовлене відсутністю власних фінансових ресурсів, необхідних для фінансування державного бюджету. За умови ефективного використання залучені кошти можуть стати позитивним фактором економічного зростання, але в іншому випадку збільшення заборгованості призводить до фінансової кризи та порушення макроекономічної стабільності. У період військового стану в Україні питання формування і обслуговування державного боргу набувають особливої актуальності, адже країна вимушена направляти на оборонні потреби значну частину бюджетних коштів. Відповідно до чиного законодавства України державний борг визначається як загальна сума боргових зобов'язань держави щодо повернення отриманих та непогашених кредитів (позик) на звітну дату, що виникли внаслідок здійснення державних запозичень. Тобто державний борг є абсолютним і безумовним зобов’язанням держави, і держава несе повну відповідальність за виконання умов випуску державних боргових цінних паперів або укладених кредитних договорів. Державний борг виникає внаслідок нестачі коштів, необхідних для виконання державою своїх функцій, зокрема регулювання економіки, реалізації соціальної політики, забезпечення обороноздатності країни, утримання пенітенціарної системи, міжнародної діяльності. Тому держава змушена мобілізувати додаткові фінансові ресурси для покриття своїх витрат, необхідних для забезпечення її діяльності та виконання своїх функцій. Метою дослідження є аналіз безпосередньо поточних розмірів та діагностика особливостей формування державного боргу України, а також розробка рекомендацій щодо механізму погашення державного боргу та зменшення його впливу на поточне економічне зростання. Основними причинами виникнення та зростання державного боргу в Україні є дефіцит державного бюджету та постійний дефіцит платіжного балансу країни, оскільки державні запозичення здійснюються з метою покриття того самого дефіциту бюджету на державному та регіональному рівні. Зазначається, що сума загального державного боргу станом на 30 вересня 2024 року становить 6 404 002,0 млн гривень, з них сума зовнішнього боргу – 4 612 991,3 млн гривень, сума внутрішнього боргу – 1 791 010,7 млн гривень. Отже, у 2024 році Україна матиме надмірне боргове навантаження в основному за рахунок зовнішніх запозичень, критичний показник боргу відносно ВВП та тенденцію до зростання зовнішнього боргу, зниження його можливостей обслуговування, що свідчить про нагальну необхідність прийняття заходи щодо вдосконалення боргової політики, мінімізації заборгованості та зміцнення економіки України. Уряд має створити ефективну систему управління боргом, яка б забезпечувала фінансову стабільність. Розробка середньострокової боргової стратегії, використання запозичень для цілей розвитку, діагностика структури боргу, орієнтація на внутрішній ринок і стимулювання ділової активності тощо є важливими заходами для вдосконалення боргової політики.
E-Learning: Challenges of Utilizing Weblog in EFL learning Environment
Authors: Anees Alnajjar  , Mohmmed Shormani  , Noman Musleh Musaed AL-Sayadi
Published: February 2025

E-learning can enhance learners’ collaboration and interaction synchronously or asynchronously via utilizing Web 2.0 platforms. Yet blog utility in EFL contexts could have serious challenges. So, this study explored the most serious challenges perceived by Yemeni EFL Level-II students, English Department, Faculty of Arts, Ibb University, in 2023-2024 after a semester-long blogging. A quasi-experimental research design was used with an experimental group of 5 males and 10 females who utilized blog for posting their writing assignments and a controlling group of 3 males & 12 females who did so traditionally. A Survey Students Open-ended Questionnaire and Students Semi-Structured Interviews were used for collecting the data. The posttest findings revealed that experimental group performed better than the controlling group confirming that blog substantially developed students’ writing skills. Also, the interview findings showed highly-perceived learning situation, blogging situation, and students challenges. The findings can avoid Yemeni EFL teachers contingent jump-start blogging pitfalls. Further
Forecasting Energy Consumption Trends with Machine Learning Models for Improved Accuracy and Resource Management in the USA
Authors: Hossain Saddam , Hasanuzzaman Muhammad , Hossain Miraz , Amjad Mohammad Hamid Hasan , Shovon Md Shihab Sadik , Hossain Md Sazzad , Rahman Md Khalilor
Published: February 2025

Accurate prediction of energy consumption patterns is vital for attaining sustainability and efficient economic planning. In the USA energy consumption trends have evolved substantially because of factors such as population growth, technological advancements, and shifts in consumption behaviors. The prime objective of this research project was to develop and evaluate machine learning algorithms with accuracy in predicting trends in America's consumption of energy. By employing complex methodologies such as neural networks, regression analysis, and ensemble approaches, this work aims to enhance the accuracy of forecasts in terms of demand for energy in residential, commercial, and industrial sectors. The U.S. consumption datasets covered a wide variety of information representing the consumption of electricity, use of fuel, and integration of renewable sources in residential, commercial, and transportation sectors. Most datasets used for analysis are taken from the U.S. Energy Information Administration (EIA) and the Department of Energy (DOE), offering in-depth statistics about production, consumption trends, and price trends. With our dataset consisting of continuous values for consumption of energy and many predictor factors, we compared a variety of machine algorithms, encompassing XG-Boost, Logistic Regression, and Random Forest. The implemented code compared three algorithms – Logistic Regression, Random Forest, and XG-Boost – in terms of performance via calculation and visualization of key evaluation metrics. It devised a function calculate-metrics to calculate accuracy, precision, recall, and F1-score for a prediction of each model over a test set. Retrospectively, comparing accuracy values, one can observe that Logistic Regression got a high score, with Random Forest following closely, and XG-Boost following a little behind them. Overall, through strategic plots, the comparative strengths and weaknesses of all three algorithms were seen, proving that Logistic Regression was the most reliable algorithm for predicting values in a dataset. Utility companies can benefit a lot through machine learning (ML)-based prediction in terms of distribution efficiency and overall operational efficiency. With ML algorithms, utility companies can utilize humungous volumes of consumption in the past to make future demand predictions with high accuracy.
Palm Oil as a Heat Transfer Medium
Authors: Hussain Suhaila , Abdullah Noor Shahida , Hashim Syamsul Syahrun , Illias Suhaimi , Alir Kartini
Published: February 2025

Palm oil plants are abundantly available in Malaysia and are harvested commercially to either be exported in their crude form or used as a base for products such as soap and cooking oil. However, palm oil has also invoked interest in being used as a coolant. As opposed to conventional coolants, vegetable-based coolants such as palm oil offer several advantages, such as being more environmentally friendly upon disposal and safer for users as they are less chemically reactive. It is an accepted hypothesis that the inclusion of nanoparticles would generally increase the heat transfer rate of most fluids as these nanoparticles contribute to a rise in the heat transfer area. This paper presents a numerical study on using palm oil as a medium for heat transfer in machining operations, with and without the use of nanoparticles. It presents heat transfer comparisons between palm oil, conventional water and mineral oil coolants. It was found that the inclusion of nanoparticles increases the heat transfer capability of mineral oil and palm oil with palm oil being more positively affected. However, there is no apparent trend or correlation that can be made between concentration and heat transfer as the percentage increase of the surface heat flux and heat transfer coefficient are inconsistent with the 2% concentration showing a higher percentage increase compared to the 1% and 3% concentrations. Considering the results of this preliminary study, it can be concluded that palm oil together with nanoparticles does present a promising prospect as a coolant.
CONTENIDO
Authors: Marín Leyva René Augusto
Published: February 2025

CONTENIDO
EDITORIAL
Authors: Marín Leyva René Augusto
Published: February 2025

EDITORIAL
El trabajo, el capital y el cambio tecnológico. Un análisis de causalidad de Hurlin-Dumitrescu para las economías latinoamericanas
Authors: Navarro Chávez José César Lenin , Marín Leyva René Augusto , Valenzuela Carreño Daniela
Published: February 2025

El presente trabajo tiene como objetivo estudiar las relaciones de causalidad entre el trabajo, el capital y el cambio tecnológico en las economías latinoamericanas durante el periodo 1990- 2019. Se aplica el enfoque de datos panel de heterogeneidad paramétrica, el cual debe cumplir el requisito de variables de orden de integración I(1), esto es, que exista estacionariedad en las series en su primera diferencia. Dada la naturaleza de los enfoques de análisis de series de tiempo y estudios transversales, se asume la existencia de dependencia transversal de las secciones cruzadas. El estudio retoma el enfoque de causalidad publicado en primera ocasión por Granger (1969), en ese sentido se ha seguido la ruta de Dumitrescu y Hurlin (2012), que evalúa en concreto la causalidad para datos de panel, bajo la hipótesis nula de que no existen relaciones de causalidad homogéneas, a través del estadístico Z el cual permite determinar relaciones bidireccionales entre las variables trabajo, capital y cambio tecnológico enmarcadas en la función de producción neoclásica por excelencia Cobb Douglas (1928), las cuales son determinantes para el crecimiento económico. Los resultados para América Latina durante el periodo 1990-2019, dan evidencia de que existen relaciones bidireccionales que demuestran la causalidad entre el capital y el cambio tecnológico; el trabajo y el cambio tecnológico; y, el trabajo y el capital.
Editorial
Authors: Marín Leyva René Augusto
Published: February 2025

Editorial
Modelo educativo y gasto del hogar como factores de la inclusión educativa de niños con autismo en escuelas regulares de Morelia, Michoacán
Authors: Villanueva Cano Andrea , Gómez Aguirre Mario , Campos Arroyo Ana Gabriela
Published: February 2025

El objetivo de este artículo es analizar de qué manera el modelo educativo y el gasto del hogar se relacionan con lainclusión educativa de niños con autismo en escuelas regulares de Morelia, Michoacán, ya que en Morelia 1 decada 115 personas presenta Trastorno del Espectro Autista (TEA), en donde los menores con esta condiciónenfrentan problemas como la no integración al sistema educativo regular, y la falta de centros especializados parasu detección y atención, por lo que las familias, generalmente, deben hacerlo con sus propios recursos. Lametodología utilizada presenta un enfoque mixto, el cual consiste en la aplicación de una encuesta para conocerel diagnóstico del sector y una evaluación Ex ante para verificar la viabilidad de una propuesta de política pública.Los resultados indican que el modelo educativo y el gasto en el hogar son factores que influyen en la inclusióneducativa de los niños con autismo y que no existe una política pública educativa que propicie su inclusión. Loque trae como consecuencia la falta desarrollo integral de los menores.
Difusión del progreso tecnológico con dos modelos diferentes de industrialización en México
Authors: Molina del Villar Tania , Zárate Gutiérrez Ricardo
Published: February 2025

A partir del análisis de la estructura productiva de la economía mexicana de los años de 1980 y 2013, se buscadeterminar si el tipo de especialización comercial permite la difusión del progreso tecnológico para potencializarel crecimiento económico del país. El estudio se basa en el empleo de la clasificación de sectores tecnológicos deHaukness y Knell (2009) y el análisis de insumo – producto, específicamente, la metodología de sectoresverticalmente integrados y su aplicación en el análisis de redes. La conclusión a la que se llega es que el actualpatrón de especialización comercial, sustentado en las exportaciones de bienes con un alto grado de intensidadtecnológica, no puede considerarse motor del crecimiento económico, dado que dichos sectores estándesvinculados de la estructura productiva interna, limitando la difusión y asimilación de cualquier tipo de avancetecnológico.
Response to Comment on: Multimorbidity, comorbidity, frailty, and venous thromboembolism
Authors: Zöller Bengt , Connors Jean M
Published: February 2025

Not available.
Del concepto a la realidad: metodología integral de diseño utilizando bocetos, renders, planos técnicos e impresión 3D
Authors: Martínez Vergara Jessica Viviana , Monar Naranjo Martín Benancio , Heredia Gamboa Edgar Andrés , García Analuisa Diego Patricio
Published: February 2025

Introducción.  El diseño ha evolucionado con la incorporación de tecnologías que optimizan la representación y materialización de ideas. Desde bocetos manuales hasta renders e impresión 3D, estas herramientas permiten una visualización más precisa y realista. Esta investigación propone una metodología integral que combina bocetos, representaciones digitales, planos técnicos y modelos impresos en 3D para mejorar la comprensión y ejecución de proyectos. Este enfoque no solo optimiza la comunicación y reduce errores en las primeras etapas, sino que también integra criterios funcionales, estéticos y técnicos, favoreciendo la creación de diseños innovadores y eficientes. Objetivo. Proponer un modelo metodológico integral que optimice el uso de herramientas en el diseño, desde la conceptualización hasta la materialización del proyecto. Se busca demostrar que la combinación de técnicas tradicionales y digitales mejora el desarrollo conceptual y asegura una mayor fidelidad entre la idea inicial y el resultado final. Metodología.  Esta investigación sigue un enfoque práctico basado en el análisis y creación de un objeto real, recorriendo cada etapa del proceso de diseño. Inicia con bocetos para explorar formas, proporciones y composición, luego incorpora aspectos técnicos como la selección de materiales y la generación de renders para evaluar configuraciones visuales. Finalmente, se materializa el diseño mediante impresión 3D. Esta metodología permite validar el modelo propuesto y ofrecer una guía estructurada para su aplicación en distintos contextos de diseño. Resultados. La combinación de bocetaje manual, modelado tridimensional, generación de planos técnicos y fabricación aditiva garantiza un flujo de trabajo estructurado que optimiza la precisión, funcionalidad y manufactura del producto final. Conclusión.  Este enfoque no solo mejora la calidad del diseño y reduce errores en etapas tempranas, sino que también facilita la documentación técnica y la validación del prototipo. Así, se consolida como una metodología versátil y efectiva para el desarrollo de productos en diversos contextos de diseño e ingeniería. Área de estudio general: Ingeniería, Industria y Construcción. Área de estudio específica: Desarrollo de productos. Tipo de estudio:  Artículos originales.
The uplift rate of Sulawesi East Arm and the activity of Batui Fault using a tectonic geomorphology approach in the Luwuk Area, Sulawesi
Authors: Hikmy Isbram Ginanjar , Rudyawan Alfend , Putri Berta Syafira , Sapiie Benyamin , Gunawan Indra
Published: February 2025

Sulawesi is a tectonically active area with convergent triple-junction amidst Eurasian, Indo-Australian and Pacific Plate. The study area is located in the suture zone of sedimentary Banggai-Sula Microcontinent and East Sulawesi Ophiolite. This research is aimed to determine fault activity and rate of tectonic uplift of Luwuk mountainous area. Field geological mapping had been done to determine lithology and geological structure along with morphometric analysis to measure definitive result of tectonic activities. Geological structure features which encountered in this area are Batui Thrust, Pasini Thrust, Lobu Balongan Fault Zone, and Lambangan Anticline. The sedimentary rocks have average N315oE dip direction with angle of 41o. Based on tectonic geomorphology and morphometric analyses are resulting the most active tectonic areas passed by the Batui and Pasini Thrust which have NE-SW direction and Lobu Balolang Fault Zone relative to others. The Batui Thrust is considered as active fault intersected the East Sulawesi Ophiolite and Banggai-Sula Microcontinent which segmented with wrench faults. Number of thrust faults parallel to the Batui Thrust generate Batui Thrust Belt which propagate from the ultramafic rocks to the sedimentary rocks within the suture zone. As a result, the presence of active fault is uplifting the East Arm of Sulawesi with 0.408 ± 0.008 mm and 0.213 ± 0.046 mm uplift rate per year by the presence of high altitude Celebes Molasses. These rates are getting higher to the west.
Keywords: Batui Thrust, East Sulawesi Ophiolite, Luwuk, morphometry, tectonic geomorphology, uplift rate
Os impactos econômicos do Patient Blood Management (PBM): Uma revisão narrativa
Authors: Alves Márcio Duarte Carvalho , Fontes Suely Lima Alves , Santos Ana Elizabeth Oliveira dos , Lima Victoria Bezerra de , Araújo Junior José Carlos de , Accioly Gilson de Andrade , Silva Carla Emanuelly dos Anjos Lima , Vieira Lorena Fonseca Santos
Published: February 2025

Durante o passar dos anos, a transfusão de sangue alogênica tornou-se uma das práticas médicas mais comuns em todo o mundo. Infelizmente, muitas vezes a medida foi prescrita de forma deliberada e desnecessária. As transfusões implicam em riscos e aumento dos custos, e devem ser utilizadas apenas quando clinicamente indicadas. O presente estudo teve como objetivo esclarecer, por meio de revisão narrativa, os potenciais efeitos positivos que o Patient Blood Management pode trazer para a economia em saúde, seja essa associada ao âmbito privado ou ao público. Assim, é dividido em três pilares: pré-operatório, intraoperatório e pós-operatório. O PBM demonstra desfechos economicamente importantes ao reduzir efetivamente os custos hospitalares gerais e os relacionados à transfusão sanguínea, reduzir o tempo de internamento e melhorar a segurança do paciente. Sendo assim, o presente estudo teve como objetivo esclarecer os potenciais efeitos positivos que o Patient Blood Management pode trazer para a economia em saúde, realizando o levantamento dos dados através das bases de dados PubMed e LILACS.
Walk the talk
Authors:   , Koomen Lisanne Elisabeth Maria
Published: February 2025

In the coming decades, the burden of mental illness and other chronic diseases will increase due to unhealthy lifestyles, aging populations, and climate change. People with severe mental illness face even greater challenges, resulting in poorer health outcomes. Mitigating these outcomes requires promoting healthy lifestyles, which can prevent and treat both mental and physical diseases while contributing to sustainable living.
This thesis on lifestyle interventions for mental health investigated lifestyle interventions in supported housing organisations, the role of the health professional, and the challenges in the use of psychotropic medication. It found that for successful implementation of lifestyle interventions in supported housing organisations one should focus on staff. Moreover, live videoconferencing for exercise is accessible for people with severe mental illness, since they can participate in their familiar environment. Additionally, the Muva lifestyle intervention improved social functioning in people with severe mental illness compared to usual care. In addition, professionals with healthier lifestyles are more likely to discuss and refer to lifestyle interventions. Professionals face barriers in implementing lifestyle, highlighting the need for organisations to prioritise staff education about lifestyle interventions and increase the availability of these interventions. Lastly, psychotropic drug users desire more discussions about deprescribing and potentially inappropriate prescribing is common in people with severe mental illness.
However, the effectiveness of lifestyle interventions may be limited by unhealthy environments, necessitating policy changes. Physicians must exercise their role as health advocates in society and their consultation room by promoting healthy, sustainable lifestyles to improve health outcomes.
The Mantou Bread Innovation
Authors: Mustamin Hasmawati Mansyur , Mansyur Abd. , Azhar Muhammad Nabil
Published: February 2025

This study aimed to explore the use of sorghum flour as an alternative ingredient to wheat flour in the manufacture of Mantau bread and to evaluate the final characteristics of the resulting product to determine the extent to which sorghum flour can replicate the characteristics of the original Mantau bread. The methodology applied in this study was qualitative research with an experimental approach. Data collection was conducted through an interview process with informants who were divided into two, namely, expert informants and ordinary informants categorized as rarely, often, and always. In this study, the preparation techniques tested include; the use of pure sorghum flour, sorghum flour sludge, and sorghum milk - to assess how each method affects the organoleptic and functional characteristics of the final product. The experimental design applied was designed to compare the effectiveness of each technique in producing bread with texture, color, taste, and aroma characteristics that resemble the original Mantau bread. The results showed that sorghum flour is an alternative ingredient that can replace wheat flour in making Mantau bread. Two recipe trials with different techniques produced breads with characteristics close to the original Mantau bread, suggesting that sorghum flour can be effective in replicating the sensory and structural qualities of the product. In conclusion, the use of sorghum flour as a substitute for wheat flour in Mantau bread recipes can be effective, especially under certain preparation conditions that have been identified during the research process. This finding could be a significant potential for gluten-free product development in the culinary industry, expanding the diversity of bread options in traditional markets and providing a solution for consumers who are reducing gluten. This study makes an important contribution to food ingredient innovation and the development of more inclusive and diverse products.
Optimizing Flammulina velutipes residue use: impact on health metrics and performance in three-yellow chickens
Authors: Li Yuanxiao , Liu Dan , Li Wang , Zhao Longmei , Cao Pinghua , Ma Yanbo , Ding Ke , Zhang Cai , Liu Ning
Published: February 2025

Introduction

This study investigated the effects of Flammulina velutipes residue (FVR) on performance, antioxidant function, immunity, and intestinal flora of broilers.

Methods

A total of 192 one-day-old three-yellow chickens were divided into four groups of 48 chickens per group, 6 replicates per group and 8 chickens per replicate. The control group (CON) was fed a basal diet, while the remaining three groups were supplemented with FVR in the basal diet, adding 2%, 4% and 6% of the basal diet, respectively. The experiment lasted for 48 days. Blood samples were collected from the jugular vein on days 28 and 48 to determine serum biochemical indices. Caecum contents were collected on day 48 to assess flora diversity.

Results and discussion

No significant differences were observed in dry matter intake (DMI), average daily gain (ADG), or feed conversion ratio (FCR) between the 2% and 4% group and the CON. However, the 6% FRV group showed significantly reduced DMI and FCR. The FVR groups exhibited significantly increased levels of catalase (CAT), superoxide dismutase (SOD), glutathione peroxidase (GPC-PX) and total antioxidant capacity (T-AOC), along with significantly decreased malondialdehyde (MDA) content. Additionally, serum interleukin-1 (IL-1) levels decreased, while immunoglobulin G (IgG), immunoglobulin A (IgA) and interleukin 10 (IL-10) levels significantly increased in the FVR groups. The caecal flora diversity test revealed that FVR altered the flora structure, with increased proportions of Bacteroides, Ruminococcus and Faecalibacterium in the 6% FVR groups. In conclusion, FVR can significantly enhance the antioxidant capacity and immunity of broilers and enrich the structure of intestinal flora. The impact on growth performance is limited and dosage-dependent. Further research is needed to optimize its use in poultry diets.
Non-contact tracking of shoulder bones using ultrasound and stereophotogrammetry
Authors: Sewify Ahmed , Lavaill Maxence , O’Rourke Dermot , Antico Maria , Pivonka Peter , Fontanarosa Davide , Martelli Saulo
Published: February 2025

Purpose

We explored the integration of 3D ultrasound (US) imaging with motion capture technology for non-invasively tracking bones of the shoulder district during normal activity. Our study aimed to demonstrate ex-vivo the proposed 3D US method’s feasibility and accuracy of tracking shoulder bones in a controlled cadaveric shoulder positioned in various arm elevations (low, mid and high).

Method

We registered previously acquired full bone shapes to spatially small bony surface patches segmented from 3D US. The bone registration approach used was based on in silico analyses that investigated the effects of different — 1) registration algorithms (Iterative-Closest-Point–ICP, and Coherent Point Drift–CPD) and 2) initial estimate levels of the bone model pose relative to the targeted final bone pose—on the overall registration efficiency and accuracy in a controlled environment.

Results

CPD provided the highest accuracy in the simulation at the cost of 8x longer computation compared to ICP. The RMSE errors were <1 mm for the humerus and scapula at all elevations. Ex-vivo, the CPD registration errors were (Humerus = 2 mm and Scapula = 13.9 mm) (Humerus = 7.2 mm and Scapula = 16.8 mm) and (Humerus = 14.28 mm and Scapula = 27.5 mm), for low, medium and high elevations respectively.

Conclusion

In summary, we demonstrated the feasibility and accuracy of tracking shoulder bones with 3D US in a simulation and a cadaveric experiment. We discovered that CPD may be a more suitable registration method for the task than ICP. We also discussed that 3D US with motion capture technology is very promising for dynamic bone tracking, but the US technology may not be ready for the task yet.