bluuebunny/crossref_metadata_2025 huggingface dataset:
The Future of Enterprise Portfolio Management in the Age of Generative AI
Authors: Mudappallur Raman Venkateswaran  , Sangeetha Govindarajan  , Nithya Krishnan
Published: February 2025

Starting today and due to the advent of generative AI, traditional enterprise portfolio management (EPM) is seriously disrupted, creating new opportunities for organizations to accelerate strategic alignment, optimize resource allocation, and foster innovation. This paper explores how generative AI will have the transformative power to create actionable insights and improve decision-making in EPM. Therefore, organizations can surpass traditional portfolio management's limitations and adapt to dynamic and real-time adjustments enabled by the use of predictive analytics and scenario modeling through AI-driven tools. AI's role in enhancing portfolio optimization, risk management, and project prioritization is discussed in this article, alongside challenges centered on data quality, workforce, and ethical considerations. It further explains the integration between AI and the existing enterprise system to provide a more encompassing, flexible approach to portfolio management. The paper applies generative AI in the real world through case studies from some leading organizations, which show how generative AI has been used to optimize portfolio performance, manage risks, and allocate resources efficiently. The paper ends with the vision for the future of EPM through generative AI, where generative AI powers more agile and data-driven decision-making processes. With each growing step of AI technology, it follows that businesses need to invest money to benefit from AI tools and train their staff for the transformation of AI-enhanced portfolio management.
Principios de Transparencia y Publicidad de la Contratación Estatal respecto a la aplicación del Portal de Contratación Transaccional Secop II
Authors: Ricardo Aroon Clara
Published: February 2025

En el presente trabajo de investigación se realizó un estudio de los principios contractuales de transparencia y publicidad respecto a la aplicación de estos en el portal de contratación transaccional Secop II. Para el desarrollo del trabajo de investigación se realizó una breve reseña de la contratación estatal en el ámbito de la función administrativa, puntualizando su importancia en la gestión pública. Del mismo modo se estudiaron los principios que rigen la contratación estatal y sus beneficios al ser incorporados en la Plataforma Secop II. Finalmente, se analizaron los principios de transparencia y publicidad en esta Plataforma, identificando las presuntas tensiones y situaciones conflictivas que se presentan en esta, para concluir con las posibles consecuencias que acarrean las circunstancias estudiadas.
Telangiectasia hemorrágica hereditaria como causa de anemia ferropénica grave de origen oscuro
Authors: Pinto Angarita Jean , García del Risco Fernando , Puello Ramos Walter
Published: February 2025

Introducción: la telangiectasia hemorrágica hereditaria o enfermedad de Osler-Weber-Rendu es una entidad  autosómica  dominante rara, con una frecuencia que oscila entre 1 por cada 5000 habitantes a 1 por cada 1331 dependiendo de la población y localización geográfica. Se caracteriza clínicamente por telangiectasias, epistaxis a repetición, lesiones viscerales vasculares como angioectasias y MAVs (malformaciones arteriovenosas). El diagnóstico se sospecha con tres de los 4 criterios de Curazao y se confirma con estudios genéticos y complementarios. El tratamiento para las angioectasias es el Argón plasma  y para  la MAV tratamiento médico con bevacizumab, embolización o resección quirúrgica y en última instancia trasplante hepático. El pronóstico es favorable si las complicaciones son diagnosticadas y tratadas a tiempo. Caso clínico: se presenta el caso de una paciente de 51 años de edad que se presentó con astenia y adinamia en la que se documentó telangiectasias en lengua, labios y dedos y se llegó al diagnóstico de telangiectasia hemorrágica hereditaria luego de la confirmación de malformación arteriovenosa hepática y telangiectasias gástricas. Con base en este caso clínico y  la  pertinente  revisión  de  la  literatura,  se  propone  un  enfoque diagnóstico y terapéutico como parte del abordaje de esta enfermedad. Conclusión: la telangiectasia hemorrágica hereditaria al ser una enfermedad rara con una alta carga de morbilidad, la cual puede llegar a ser un reto diagnóstico llegando a representar una causa de anemia severa de origen gastrointestinal.
La supervisión escolar y el papel de las instituciones de educación superior en el fortalecimiento de la Nueva Escuela Mexicana
Authors: Mendoza Guzmán Janeth Adriana
Published: February 2025

La Nueva Escuela Mexicana como una iniciativa reciente centra a las niñas, niños, adolescentes y jóvenes como las y los sujetos principales de los procesos de enseñanza y aprendizaje. El objetivo es generar los esfuerzos para que logren maximizar aprendizajes que les ayuden en cada dimensión de sus trayectorias académicas y les resulten de utilidad en el desarrollo permanente de sus vidas en lo cotidiano, lo que se convierte en una preparación fundamental para la vida futura. Bajo el escenario enunciado se trata aquí de una reflexión académica de posicionar el papel de la supervisión escolar en México para el logro de este propósito. Formar supervisiones escolares reflexivas, que generen procesos escolares comunitarios, en donde cada sujeto del sistema tenga una participación asertiva de manera democrática, en pleno reconocimiento de la diversidad confluyente en el sistema educativo nacional para la mejor toma de decisiones es vital.
Cogobierno sobre el nivel básico educativo: coyuntura en la administración federal 2006-2012
Authors: Mendoza Lezama Julián Antonio , Sánchez Medina Gabriela
Published: February 2025

La presente indagatoria tiene el objetivo de describir las características del vínculo interinstitucional entre el Ejecutivo federal, la Secretaría de Educación Pública y el Sindicato Nacional de Trabajadores de la Educación en el marco de la administración 2006-2012 en México, con respecto a la elaboración de acuerdos y prácticas políticas orientadas para el nivel básico educativo. Se aborda el contexto administrativo predominante, que contuvo un discurso ligado con las ideas de modernización/competitividad y de profesionalización magisterial, en sintonía con la puesta en marcha de la Alianza por la Calidad de la Educación y la Reforma Integral de la Educación Básica. El análisis está sustentado en el método histórico, así como en la corriente historiográfica de la historia de la educación. Por lo anterior, se recurrió a tres fases de estudio: a) heurística, b) hermenéutica y c) de exposición.
Enhancing Decision-making in Uncertain Domains through Optimized Fuzzy Logic Systems
Authors: Sekhi Ihab , Kovács Szilveszter , Nehéz Károly
Published: February 2025

Fuzzy logic helps manage human-like reasoning in system control, mainly when traditional analysis does not work due to complex control processes. Despite its usefulness, fuzzy logic faces challenges in decision-making, especially in complex business situations and when combined with expert systems. It struggles with uncertainty and relies on various beliefs and assumptions, which is limiting compared to other methods for handling uncertainty. However, fuzzy logic can improve traditional control systems by adding a layer of intelligence. This study adapts mathematical functions like the straight-line point-slope equation, the absolute value function, and the Gaussian equation to develop accurate and flexible membership functions for fuzzy logic systems. By analyzing 10,000 tasks of different sizes, we found our methods significantly more precise than traditional approaches, especially in determining degrees of membership for uncertain and complex environments. Our MATLAB research shows the potential of using varied membership functions to enhance fuzzy logic systems' accuracy and flexibility.
Systematic Literature Review: Dampak Perilaku Seksual Berisiko terhadap Kejadian HIV/AIDS pada Kelompok Lelaki Seks dengan Lelaki
Authors: Alia Syafina Dwi Putri , Zahida Raissa Amira , Nurhaliza Dhia Azhar , Maulida Syakira Auly , Herbawani Chahya Kharin
Published: February 2025

Perilaku seksual berisiko yang dilakukan oleh kelompok homoseksual karena sering berganti pasangan dan berhubungan seksual secara anal maupun oral tanpa kondom merupakan faktor risiko yang dapat berkontribusi terhadap penularan infeksi HIV/AIDS di kelompok laki-laki melakukan hubungan seks sesama gender (LSL). Artikel ini bertujuan untuk membahas terkait dampak perilaku seksual berisiko serta strategi pencegahan dan penanganan kejadian infeksi HIV/AIDS akibat hubungan perilaku seks berisiko pada kelompok LSL. Metode penelitian dari artikel ini adalah Systematic Literature Review dengan menggunakan database Google Scholar,  Science Direct dan PubMed sesuai dengan PECO serta menggunakan Newcastle Ottawa Scale (NOS) untuk menilai risiko bias. Rentang waktu artikel studi kuantitatif observasional yang dipilih mulai dari tahun 2021–2024 dalam Bahasa Inggris dan Bahasa Indonesia serta memuat kata kunci Perilaku Seksual Berisiko, HIV/AIDS, dan LSL dalam Bahasa Indonesia dan memuat kata kunci Sexual Risk Behaviour, HIV/AIDS, dan MSM dalam Bahasa Inggris yang terdapat naskah lengkap. Artikel diseleksi menggunakan kriteria inklusi dan eksklusi sesuai standar berlaku sehingga diperoleh 10 artikel yang menyatakan perilaku seksual berisiko tanpa pengaman seperti sering berganti pasangan seksual, melakukan hubungan seks anal serta oral tanpa kondom berdampak signifikan terhadap kejadian HIV/AIDS pada kelompok LSL. Oleh sebab itu, diperlukan strategi guna meminimalisir risiko penyebaran infeksi HIV/AIDS untuk kelompok LSL meliputi promosi penggunaan PrEP, penggunaan kondom secara konsisten, tes HIV rutin, intervensi perilaku melalui konseling dan pendidikan, keterlibatan dengan komunitas LSL, serta mengatasi hambatan struktural seperti stigma dan diskriminasi.
Frentes urbanos y cuerpos acuáticos. Un avistaje al borde costero de la ciudad de Paraná (Entre Ríos)
Authors: Goñi Morena
Published: February 2025

Las siguientes páginas tienen por objeto brindar una radiografía descriptiva del frente costero de la ciudad de Paraná (Entre Ríos). A partir de un recorrido realizado por vía acuática, se mapearon alrededor de 12 kilómetros de costa -desde los Miradores de Bajada Grande hasta La Toma Vieja-, con la finalidad de narrar y describir las apropiaciones materiales y simbólicas que se presentan en este emblemático espacio. Situado en el campo de los estudios urbanos, que hibrida aportes de la geografía crítica, la antropología, el giro espacial, y otros, se busca suturar una vacancia fundamental y crear disparadores que problematicen el estado de situación de la ribera de la ciudad capitalina.
maquinistas y foguistas de locomotoras: orgullo, calificación e identidad profesional en la construcción de una masculinidad obrera (Argentina, primeras décadas del siglo XX)
Authors: D’Uva Florencia
Published: February 2025

En el funcionamiento de los ferrocarriles, los maquinistas y foguistas encargados de la conducción de las locomotoras ocuparon un lugar preponderante y destacado. Constituyeron una mano de obra estable y calificada, conformada por trabajadores que debían cumplir múltiples responsabilidades, además de formarse y rendir un examen de idoneidad para ejercer su labor. Este artículo estudia ciertas nociones e ideas que los conductores de locomotoras articularon en torno a su oficio en la Argentina de comienzos del siglo XX. Busca entender cómo construyeron un sentido de orgullo hacia su profesión, el cual, junto con su experiencia, conocimientos prácticos y representaciones sobre su trabajo, forjó una masculinidad específica que se delineó como ideal a alcanzar.
Global prevalence of Candida species diversity in oral cavity of denture wearing patients- A systematic review and meta analysis
Authors: Das Duttatrayee , Bhuyan Lipsa , Panda Abikshyeet , Raghuvanshi Malvika , Dash Kailash Chandra , Mishra Pallavi
Published: February 2025

Aim in order to give current evidence regarding the diversity of candida species in individuals who have dentures or who suffer from denture stomatitis (DS). Methods The study was registered in PROSPERO and followed the PRISMA guidelines for systematic reviews and metaanalyses. Patients with dentures or denture stomatitis were the subjects of a comprehensive literature search that spanned the years 2000–2023. The goal was to find studies that measured the prevalence of multiple species of candida that colonise denture patients. In order to determine the studies’ quality, the Newcastle Ottawa scale (NOS) was used. Employing a random-effect model with a significance level set at p<0.05, the summary statistic measure was the odds ratio (OR) and the risk ratio (RR). Results The criteria were met by fifteen papers, twelve of which were included in the meta-analysis, and all of them underwent qualitative synthesis. All studies were thoroughly evaluated because their quality assessments showed a moderate to low risk of bias. Among 15 studies, seven studies were from American continent, five studies from Asian continent and three studies from European continent showing a wide range of candida diversity in these population. Meta-analysis revealed that American, Asian and European population with denture stomatitis (DS) had a strong association and risk of acquiring candida colonisation and infection (p<0.05). Funnel plot did not reveal presence of any publication bias in meta-analysis. Conclusion there is a need for comprehensive oral health care for denture wearing patients or denture stomatitis (DS) to monitor the candida colonization and by targeting proper preventive measures so as to improve and maintain the oral hygiene of patient.
BJMS, Volume: 24. Supplementary Issue 2025, Page : 24-33
Comparative Study of Different Antibiotic Regimens in Managing Paediatric Dental Infections
Authors: Alwafi Hanadi Abdullah , Pullishery Fawaz
Published: February 2025

Background Pediatric dental infections, particularly those of odontogenic origin, are a common concern in dental practice. “Antibiotic therapy plays a crucial role in managing these infections, especially when accompanied by systemic signs of infection such as fever or facial swelling. This study aims to compare the efficacy of different antibiotic regimens in managing pediatric dental infections. Materials and Methods A total of 200 pediatric patients aged between 3 to 12 years presenting with dental infections were included in this comparative study. Patients were randomly assigned to one of three treatment groups. Group A received amoxicillin-clavulanate (500 mg/125 mg, twice daily), Group B received clindamycin (300 mg, three times daily), and Group C received azithromycin (500 mg once daily). All patients were monitored for resolution of infection symptoms such as pain, swelling, and fever over a 7-day period. Clinical improvement was assessed using a standardized infection control score (ICS) based on these symptoms at baseline and on days 3, 5, and 7. Results Out of 200 patients, 65 (32.5%) were in Group A, 70 (35%) in Group B, and 65 (32.5%) in Group C. By day 7, clinical resolution of infection (ICS ≤ 1) was achieved in 90% of patients in Group A, 85% in Group B, and 75% in Group C. Group A showed the fastest reduction in symptoms with significant improvement observed by day 3 (p < 0.05). Group C demonstrated the slowest response, with fewer patients showing complete resolution by day 7 (p = 0.07 compared to Group A). Mild side effects, including gastrointestinal upset, were reported in 10% of Group A, 5% of Group B, and 15% of Group C. Conclusion Amoxicillin-clavulanate (Group A) demonstrated superior efficacy in managing pediatric dental infections compared to clindamycin and azithromycin, with faster symptom resolution and a higher rate of clinical improvement. Clindamycin may serve as an effective alternative in cases of penicillin allergy”, while azithromycin exhibited the slowest response but was welltolerated. Further research is needed to refine antibiotic selection based on patient-specific factors such as age and allergy status.
BJMS, Volume: 24. Supplementary Issue 2025, Page : 99-103
Assessing the Role of Electives Module in Shaping Career Choices of Medical Undergraduate Students
Authors: Devi G Durga , R Rahe , Puhazhendhi T , Devaki PR , Koshy Jinu Merlin , R Archana
Published: February 2025

Background The introduction of elective postings in 2020 as part of the competency-based medical education (CBME) framework marked a significant advancement in the medical curriculum for undergraduate students. These electives provide crucial handson experience across various specialties, allowing students to tailor their education according to their interests. Objective: This study aims to assess the impact of the elective module on the career choices of medical undergraduate students. Methods A cross-sectional study was conducted at Sree Balaji Medical College and Hospital, Chennai, involving MBBS students from the 2019-2020 and 2020-2021 batches. A total of 298 students participated, providing informed consent. A pretested questionnaire with open and closed-ended questions was administered, focusing on students’ elective choices, perceptions, and career interests. The “Electives Perception Indicator” (EPI) was measured using a 5-point Likert scale. Results The majority of students reported positive experiences in both Block I and Block II electives. Feedback indicated high satisfaction with faculty guidance and patient interactions. Approximately 29.9% of students strongly believed that elective postings should be mandatory, and a significant increase in clarity regarding career choices was observed post-elective. Despite some concerns about workload and the relevance of content, students recognized the value of electives in enhancing their clinical skills and confidence in specialty selection. Conclusion Elective postings are viewed as a valuable component of the medical curriculum, significantly influencing students’ career decisions. Proactive engagement from students is essential to maximize these opportunities. Continued evaluation and adaptation of the elective program are recommended to better align with student needs and aspirations.
BJMS, Volume: 24. Supplementary Issue 2025, Page : 149-155
Role of digital dentistry in prevention and diagnosis- a systematic review
Authors: Gupta Bharti , Gupta Shekhar , Bedia Aarti S , Aljabri Mohammed Y , khan Samar Saaed , Hassan Elamin Nahid Mahmoud
Published: February 2025

Background Advanced technology in digital dentistry have transformed oral healthcare prevention and diagnosis. This study examines how digital dentistry impacts precision diagnostics, patientcentric preventative care, and treatment planning efficiency. Intraoral scanners, digital radiography, CAD/CAM technology, and artificial intelligence have transformed oral healthcare, promising more precision, efficiency, and patient-centered care. Methods An extensive search was conducted in electronic databases such as PubMed, Scopus, Google Scholar, and Web of Science to locate relevant studies published between January 2013 and 2023. Research on the diagnostic and preventative uses of digital dentistry was included. Findings Intraoral scanners and digital radiography enable precise oral structural visualization and assessment. This improved precision aids early detection and targeted therapies. Digital tools enable patient-centric preventative treatment that is adapted to individual needs. Treatment planning is faster and more predictable with CAD/CAM and collaborative communication tools. Artificial intelligence improves diagnostics by giving fast, accurate results and supporting evidence-based decision-making. Conclusion The talk emphasizes digital dentistry’s positive impact on oral health. From precision diagnostics to patient-centered preventative care and efficient treatment planning, digital dentistry has big impacts. AI is transforming oral healthcare, solidifying its role in the future. As digital dentistry evolves the synergistic combination of these technology breakthroughs offers more precise, efficient, personalized, and patient-centered oral healthcare. Digital dentistry will shape oral healthcare in the future.
BJMS, Volume: 24. Supplementary Issue 2025, Page : 160-169
Evaluation of outcome of bilateral cleft lip repair using a simplified scoring system
Authors: Islam Md Tarikul , Rahman Mizanur , Huda Md Nurul , Munni Halima Khatun
Published: February 2025

Background: Bilateral cleft lip is a complex congenital deformity of face. Restoration of the normal facial form is one of the primary goals for reconstructive surgeons. Surgical repair of bilateral cleft lip is complex and still controversial, though various techniques have been reported and described in detail. The repair can be a challenge even to an experienced surgeon and the results of primary repair of bilateral cleft lip traditionally have been less satisfactory than those of unilateral cleft lip. Objective: This study aimed to evaluate the surgical outcome of bilateral cleft lip surgery by the modified Millard technique using a simplified scoring system. Materials and Methods: This study was conducted from January 2013 to December 2021 at a private Hospital, a cleft center of Smile Train. 46 cases of bilateral cleft lip were operated by the modified Millard technique during this study period. Data analysis included age and sex of patients, type of cleft deformity and type of surgery (primary or secondary) and whether the cleft deformity was syndromic or non-syndromic. Technique of repair, surgical outcome and complications were also recorded. The photographic evaluation was done between 3 months to 3 years after lip operation by a surgeon and a social worker on three regions- lip, nose and general facial appearance with a total score of 10. Results: A total of 46 cases of BCL (Bilateral Cleft Lip) comprising of 29 males and 17 females were operated which constituted 9.2% (46/500) of all cases of cleft surgery done during this study period. The age of patients at the time of surgery ranged between 4 months and 16 years. 38 patients had bilateral cleft lip and palate deformities and 8 had only bilateral cleft lip deformities. Primary surgery was performed in 45(97.82%) cases and secondary (revision) surgery was performed in only 1(2.18%) case. There was no syndromic case. All cases were operated by the modified Millard technique. Aesthetic outcome was evaluated by a simplified scoring system. The outcome was good with this repair technique and evaluated by this scoring system. Conclusion: This is an effective scoring system to evaluate the outcome of bilateral cleft lip repair.
Bang Med J Khulna 2022; 55 : 03-07
Induction chemotherapy followed by radiation versus concurrent chemoradiation in supraglottic laryngeal cancer
Authors: Sultana Shabnam , Hossain Altaf , Saha Happy , Rani Moni
Published: February 2025

Background: Laryngeal cancer is the most prevalent malignancy affecting the upper aero-digestive tract. The management of locally advanced laryngeal cancer has transitioned from an initial strategy involving primary surgical intervention and/or radiotherapy to contemporary multi-modal approaches that encompass definitive concurrent chemoradiation (CCRT). Objective: This study aimed to evaluate the effectiveness of concurrent chemoradiotherapy and induction chemotherapy followed by radiation in supraglottic laryngeal carcinoma. Methods: A Quasi-experimental study was accomplished in the Department of Radiotherapy of Rajshahi Medical College Hospital, Rajshahi, Bangladesh from July 2020 to June 2021. Sixty patients were selected purposively with biopsyproven squamous cell carcinoma of the supraglottic laryngeal region. Total patients were divided into two equal groups non- randomly. Thirty Arm-A group were treated by concurrent chemo-radiotherapy and 30 Arm-B group patients were treated by induction chemotherapy followed by radiation. Data analysis was done by using the SPSS version 25.0 program. Result: In this study, the male to female ratio was 14:1, with a mean age of 55.8±7.7 years in Arm A and 57±6.8 years in Arm B. The overall response rate was higher in Arm A (80%) compared to Arm B (63.3%), but this difference was not statistically significant (p=0.251). While functional organ preservation was achieved in more patients in Arm A (83.3%) than in Arm B (63.3%), this outcome also did not reach statistical significance (p=0.079). Although toxicities were more common in the concurrent chemoradiation (CCRT) group, these differences were not statistically significant, and all toxicities were effectively managed. Conclusion: Induction chemotherapy followed by radiotherapy is equally effective as concurrent chemoradiation for patients with locally advanced supraglottic laryngeal cancer, in terms of local control and preservation of laryngeal function without any added toxicities and may be reasonable approach in low resource set-up.
Bang Med J Khulna 2023; 56: 08-13
Tác động của bất định chính sách kinh tế toàn cầu đến chi phí vay ngân hàng tại Việt Nam
Authors: Nguyễn Thị Ngọc Phượng , Nguyễn Xuân Thắng
Published: February 2025

Sử dụng dữ liệu từ 44 ngân hàng thương mại tại Việt Nam trong giai đoạn 2006–2022, nghiên cứu này xem xét tác động của bất định chính sách kinh tế toàn cầu đến chi phí vay ngân hàng tại Việt Nam. Kết quả hồi quy từ mô hình OLS với đa tác động cố định cho thấy rằng sự gia tăng bất định chính sách kinh tế toàn cầu làm tăng chi phí vay ngân hàng tại Việt Nam. Đi sâu vào mối quan hệ này, nghiên cứu phát hiện rằng chi phí vay ngân hàng tại Việt Nam chịu ảnh hưởng bởi sự gia tăng bất định chính sách kinh tế tại các đối tác thương mại chính của Việt Nam, bao gồm Hoa Kỳ, Châu Âu và Trung Quốc. Kết quả nghiên cứu không thay đổi khi phương pháp hồi quy GMM được sử dụng để khắc phục vấn đề nội sinh. Với vai trò quan trọng của chi phí vay ngân hàng trong nền kinh tế, nghiên cứu này cho thấy chi phí vay của doanh nghiệp và hộ gia đình tại Việt Nam chịu tác động đáng kể bởi các sự kiện kinh tế và chính trị lớn trên thế giới.
El Museo Etnológico de la Mujer Gitana: promover la solidaridad en las comunidades de mujeres romaníes
Authors: Murrah Annika
Published: February 2025

La mujer romaní representa uno de los grupos más marginalizados en España. La exclusión de las romaníes en sistemas de educación, empleo y salud se fomenta por una tradición existente de discriminación antirromaní en la Península Ibérica. Este ensayo analiza la estructura de discriminación histórica en la Península para entender la situación hoy en día y ofrecer varias soluciones. El Museo Etnológico de la Mujer Gitana es un museo ubicado en un barrio roma histórico en Granada, España, y manejado por las mujeres de esta comunidad. A partir de los resultados de estudios de museos culturales (uno en Australia y dos en Granada, España) exploramos el potencial del museo etnológico y otras exhibiciones similares para promover un cambio positivo en la vida de estas mujeres. Los encuentros interculturales ofrecidos por las exhibiciones culturales han tenido éxito en disminuir sentimientos discriminatorios y fortalecer orgullo propio.
Patrimonio y educación en inclusividad: accesibilidad y perspectiva de género
Authors: Lago González Encarna
Published: February 2025

Este trabajo tiene como objetivo principal enfocar algunas certezas, encuentros y desencuentros, fusiones y tensiones, así como los recorridos simbólicos que se generan a partir de los relatos que construyen el patrimonio, la educación, la accesibilidad y la inclusión dentro del discurso museístico. Para ello, reconstruimos la genealogía de los museos y los discursos y nociones que les dieron origen, para contrastarlos con los cambios y transformaciones producidos a partir de las décadas de los setenta y ochenta del siglo XX, con el surgimiento de una nueva manera de pensar los museos y su patrimonio a través de la denominada nueva museología, con especial hincapié en la museología social. A partir de nuestra experiencia de veinticinco años con la Rede Museística Provincial de Lugo (RMPL) podemos plantear grandes rupturas con el modelo anterior y avanzar en un modelo que garantice el disfrute y el bienestar de la población. Sirva como ejemplo el reciente proyecto Soterradas, que se cimenta en las siguientes claves: educación patrimonial, conocimiento situado, perspectiva de género, interseccionalidad, inclusividad y sostenibilidad.
“Esto es agua”. La contribución de las humanidades al sistema educativo y a la valoración del patrimonio cultural
Authors: Broncano Rodríguez Fernando
Published: February 2025

Las humanidades están en declive en los sistemas educativos de la mayoría de los países. Podría pensarse en considerarlas patrimonio cultural. Este trabajo examina cuál es el lugar de las humanidades en el conjunto de la cultura. Con este fin se examinan dos nociones de cultura que han ido surgiendo a lo largo de la historia, una que forma parte de nuestra idea de educación y otra que define nuestras identidades. En ambos casos, se argumenta que las humanidades no son un conjunto de documentos que puedan estar en peligro y haya que protegerlos como patrimonio, sino una forma de saber que nos permite comprender los valores sin los que no podría existir la sociedad, incluyendo aquellos que nos llevan a definir qué es patrimonio.
Ecosistemas y redes ciudadanas: patrimonio, educación y comunidades patrimoniales
Authors: Portolés Górriz Ángel , Luque Ceballos Isabel
Published: February 2025

Este artículo explora la conexión entre patrimonio cultural, educación y participación comunitaria en el marco de la Convención de Faro, introduciendo los principales temas que se tratarán a lo largo del monográfico. Se parte del análisis y el cuestionamiento de lo establecido y se proponen formas de hacer educación, patrimonio y cultura desde la reflexión crítica, pero también a través de la praxis, con acciones eficaces de la sociedad civil, que inciden en la búsqueda y sistematización de conocimientos compartidos. En este sentido, se presenta un mosaico diverso constituido por escenarios plurales basados en el carácter único de las acciones patrimoniales y las reacciones que provocan en el proceso de educación patrimonial. Precisamente, es la diversidad el valor que otorga el carácter único a cada una de las acciones culturales que surge y se plantea en un contexto determinado. Una diversidad que hace posible la multiplicidad de iniciativas que caracterizan el día a día de los colectivos, asociaciones y espacios educativos, museos o instituciones para proponer propuestas singulares alrededor del patrimonio y su uso, aprovechamiento y gestión. También se analiza la evolución de los enfoques educativos del patrimonio y se hace hincapié en la inclusividad y la interconectividad entre los individuos y los bienes culturales. Se citan algunos de los casos de gestión ciudadana del patrimonio, que situarán la educación patrimonial como medio para empoderar a las comunidades al tiempo que se aboga por los derechos culturales, la accesibilidad y e compromiso social. Se concluye que el futuro de la educación patrimonial pasa por reconocer la diversidad, fomentar una perspectiva crítica y facilitar la colaboración entre los distintos agentes que participan en este proceso.
Uso y abuso de las herramientas digitales en educación patrimonial. Entre el continente y el contenido
Authors: Ibañez-Etxeberria Alex , Luna Ursula
Published: February 2025

Texto introductorio del debate titulado Uso y abuso de las herramientas digitales en educación patrimonial.
Strengthening State Defense Based on Islamic Values: Evidence from the Students at State Islamic Institute
Authors: In'ami Moh , Suryadi Bambang
Published: February 2025

Although state defense activities have been introduced for quite a long time in Islamic universities, students' understanding of defending a country that is free from values and based on Islamic values is still a matter of debate. This study analyzes the Islamic values in the state defense strengthening program at the Mahadipa Student Regiment Unit 954 Yudhagama. This type of research is field research with a qualitative-phenomenological approach. Data collection uses documentation, observation, and interviews. The study's respondents were five students representing the members of the Mahadipa Student Regiment Unit 954 Yudhagama in Kudus Central Java. The results of this study indicate that the Islamic values introduced in the strengthening state defense program for members of the Mahadipa Student Regiment Unit 954 Yudhagama are manifested in life training full of discipline and a healthy lifestyle. Among these Islamic values are living resiliently, solidarity, togetherness, honesty, a knightly spirit, and preparing oneself to defend the country. Islamic values can be seen in daily life activities, both in vertical and horizontal relationships, that describe the characteristics of a holistic Muslim.
Parents Day Program at Islamic Elementary School
Authors: Azzahra Fatimah , Rasmuin Rasmuin , Firmansyah Rizky
Published: February 2025

This study aims to understand the implementation of the Parents Day program in strengthening emotional closeness between parents and children, explore parents' perceptions of the program as an effort to enhance relationships with children and identify the supporting and inhibiting factors of Parents Day activities. Using a phenomenological qualitative approach, the results of this study show that Parents' Day strengthens the emotional closeness between parents and children through interactive activities such as decorating cakes, flowers, hats, and other activities. Its success is evident in its motivation to learn, positive communication between parents, children, and teachers, and positive feedback regarding the benefits of this activity. Thus, overall, Parents Day is proven to significantly contribute to the emotional relationship between parents and children, as well as being an effective means of strengthening family communication and interaction in the school environment, creating a more harmonious atmosphere, and supporting child development.
PREDIKSI HARGA PONSEL BERDASARKAN SPESIFIKASINYA MENGGUNAKAN ALGORITMA LINEAR REGRESSION
Authors: Irsyad Muhammad , Silvy Amelia  , Ardi Yahya Mara
Published: February 2025

The rapid advancement of mobile technology tools day by day benefits thousands of smartphone retailers by offering various innovations. This study aims to predict smartphone prices based on their technical features using the linear regression method. The dataset used includes various technical attributes from different smartphone models. The research process involves a data preprocessing stage to clean missing or invalid values and feature transformation to prepare the data for the linear regression process. Subsequently, a linear regression model is developed and tested using cross-validation techniques to evaluate its performance. The metric used to measure the model's prediction accuracy or error is RMSE. The experimental results show an RMSE value of 170.692. The target variable, which is the smartphone price, ranges from the lowest price of 614 to the highest price of 4,361. The RMSE value obtained in this study can be considered fairly good, as it is less than 10% of the actual value or average price. Variables such as RAM, storage size, camera, and processor type significantly influence smartphone prices. However, other factors such as brand and design may also have an impact, albeit to a lesser extent. This study confirms that linear regression can be effectively used to predict smartphone prices based on technical specifications. The findings of this research can assist companies in developing pricing strategies based on smartphone specifications. Additionally, it can help determine which products are suitable for market introduction.
IMPLEMENTASI HYBRID INTELLIGENCE SYSTEM UNTUK KLASIFIKASI BIJI-BIJIAN DENGAN ALGORITMA PCA DAN KNN
Authors: Chan Fajri Rinaldi , Ramadhanu Agung
Published: February 2025

Food security has become a pressing global issue with the increasing population and food consumption needs. Red kidney beans, peanuts, and sunflower seeds play a crucial role in meeting the nutritional needs of society and serving as raw materials for various industries. This study aims to develop a seed classification system based on the Principal Component Analysis (PCA) and K-Nearest Neighbor (KNN) algorithms. The system is designed to recognize three types of seeds—red kidney beans, peanuts, and sunflower seeds—to improve the efficiency and accuracy of the classification process compared to manual methods. The dataset consists of 58 seed image samples, divided into training data (48 samples) and test data (10 samples). The research stages include image preprocessing (cropping, background removal, and thresholding segmentation), feature extraction using PCA to reduce data dimensionality, and classification with KNN based on Euclidean distance. A value of K=3 is used in the KNN algorithm to determine the proximity between data points. The test results show a classification accuracy of 90%, with 9 out of 10 test data correctly classified. PCA successfully simplified high-dimensional data into two main components without significant information loss, while KNN demonstrated strong capability in distinguishing the three types of seeds. This research contributes to the development of an AI-based automatic classification system for the food industry, with broader potential applications in high-dimensional data processing across various fields.
OUTSOURCED EMPLOYEE RECRUITMENT DECISION SUPPORT SYSTEM WITH FUZZY TOPSIS INTEGRATED REST API METHOD
Authors: Denih Asep , Saepulrohman Asep , Febriansyah Febri
Published: February 2025

PT Dina Mika Muda Mandiri is a logistics and transportation company that is facing challenges in recruiting outsourced employees to meet the company's standards with complex assessment criteria. In overcoming this problem, the research developed a decision support system that is integrated with Rest API and the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The system aims to improve the efficiency and accuracy of candidate selection by evaluating criteria such as interviews, knowledge, testing, curriculum vitae (CV), processing time, and salary. Two case studies were conducted involving 36 applicants for a website upgrade project and 24 applicants for an outsourced goods transit system. The results demonstrate that the decision support system integrated with Fuzzy TOPSIS significantly enhanced the selection process, improving accuracy by 91% for the website upgrade project and 97% for the goods transit system when compared to traditional human resource development (HRD) decision criteria. This demonstrates the system's effectiveness in aligning with HRD standards, making the recruitment process more effective, accurate and efficient. Future research should explore methods to refine the weighting of criteria and integrate expert opinions or more sophisticated machine learning algorithms to support more objective decision support systems in outsourcing employee recruitment.
DESIGNING USER EXPERIENCES IN CASUAL GAMES TO ENHANCE PRODUCT KNOWLEDGE
Authors: Handriyantini Eva , Salem Stefanus
Published: February 2025

The widespread adoption of mobile platforms has transformed the gaming industry, making casual games highly popular due to their accessibility via smartphones and tablets. Beyond entertainment, casual games now serve as effective educational and marketing tools for delivering product knowledge. This study explores how user experience (UX) design can enhance product education in casual games by focusing on game mechanics, UX principles, narrative engagement, and product placement. Using a Design-Based Research (DBR) approach, this study develops, tests, and refines interactive experiences to ensure the effective implementation of design elements. Testing with 50 participants showed a 30% improvement in product recall after playing, along with high satisfaction levels regarding game usability and engagement. Participants also demonstrated improved time management skills and emotional connection to the game content. The game integrates challenges and activities designed to build cognitive and emotional engagement. Artificial intelligence (AI) technology is utilized through Unreal Engine to create a realistic and immersive environment. By incorporating product information into engaging gameplay, the game serves as both an educational and entertainment tool. This research provides practical insights for game developers, marketers, and educators on integrating educational content into casual games. By leveraging AI, user testing, and advanced UX strategies, casual games can become effective tools for game-based marketing and education. This game significantly enhances product knowledge retention, user engagement, and practical skills.
COMPARISON OF ENSEMBLE METHODS FOR DECISION TREE MODELS IN CLASSIFYING E. COLI BACTERIA
Authors: Al Musyaffa Alvin Rahman , Pristyanto Yoga , Mauliza Nia
Published: February 2025

Certain strains of Escherichia coli (E. coli) can cause serious illness, so identifying dangerous strains with high accuracy is a priority in supporting public health and food safety. However, traditional machine learning methods, such as Decision Trees, are often not robust enough to handle the complexity of biological data. This research presents a solution by systematically evaluating seven ensemble methods, namely Adaboost, Gradient Boosting, XGBoost, LightGBM, Random Forest, Bagging, and Stacking, using a dataset that includes 336 E. coli samples with eight biological features. These models are evaluated based on accuracy, precision, recall, and F1 score, with parameter optimization to obtain the best results. The results show that XGBoost is superior with accuracy, recall, and F1 score of 88% and precision of 87%, outperforming other methods. This research has the advantage of a comprehensive approach in comparing various ensemble methods simultaneously, accompanied by the application of confusion matrix-based evaluation to ensure the accuracy of the results. Additionally, the ensemble approach proved to be more effective in handling complex data patterns and reducing bias in bacterial strain classification. These findings provide a significant contribution, namely a practical framework for improving laboratory diagnostics and public health surveillance, with machine learning-based solutions that are faster, more reliable, and applicable for both industrial and clinical environments. This research expands understanding of the potential of ensemble methods in microbiological data classification and provides new directions for modern diagnostic technology.
OPTIMIZING MSME PRODUCT AUTHENTICITY VERIFICATION IN DECENTRALIZED MARKETS USING BLOCKCHAIN
Authors: Zulkarnain Adnan , Amien Mukhlis
Published: February 2025

Blockchain technology offers a solution for ensuring product authenticity in decentralized digital marketplaces. However, Micro, Small, and Medium Enterprises (MSMEs) face barriers such as limited infrastructure, high costs, and data interoperability challenges. This study develops a hybrid blockchain-based application architecture tailored to MSME needs, integrating on-chain and off-chain storage. Critical security data, such as product hashes, is stored on-chain, while non-sensitive data, like product descriptions, is managed off-chain using a cloud-based MySQL database. This design reduces storage costs and computational load while maintaining data integrity. Ethereum smart contracts manage product registration and verification, linked to QR code-based authentication for end-users. A realistic simulation environment using server-based infrastructure and cloud databases evaluated system performance, including transaction throughput, latency, resource utilization, and scalability. The results show significant improvements compared to conventional centralized methods, achieving a transaction throughput of 391 TPS for 1 million transactions while maintaining low latency and resource efficiency. This research addresses a theoretical gap by optimizing blockchain for small-scale decentralized markets, tackling resource limitations and interoperability issues unique to MSMEs. Practically, it provides a scalable and cost-effective solution for product authenticity verification, enhancing consumer trust and reducing counterfeiting in MSME digital markets. While real-world testing remains a limitation, the findings underline the system’s potential to support sustainable MSME digital marketplaces and build consumer confidence.
DENTAL CARIES SEVERITY DETECTION WITH A COMBINATION OF INTRAORAL IMAGES AND BITEWING RADIOGRAPHS
Authors: Jennifer Jennifer , Setiawati Winni , Halim Gabriella Adeline , Tony Tony
Published: February 2025

Dental caries is a multifactorial oral disease caused by plaque due to bacterial sugar fermentation. Quite a number of dentists have misdiagnosed caries due to the subjective nature of visual examination and radiograph in early-stage lesions. Thus, research on the implementation of deep learning technology is expected to improve the accuracy of diagnosis. However, caries detection with deep learning has accuracy problems. This problem makes researchers interested in developing a deep learning method that combines Faster R-CNN algorithm and texture feature extraction to more accurately detect carious teeth from bitewing radiography datasets and intraoral images. The overall performance of the model to detect the radiographic class was slightly better than the intraoral class. Overall, the classification accuracy of the model was 88.95% which is better than previous research that only used one or the other type of images. GLCM (Gray-Level Co-Occurrence Matrix) is effective in detecting contrast areas, but it still cannot specifically distinguish normal anatomical contrast from caries. The Faster R-CNN model learned well and was able to differentiate between each caries type and was successfully integrated with the GLCM matrix for radiographic image pre-processing to facilitate caries detection. This approach could have the potential of assisting dental professionals in reducing diagnostic errors and increasing patient care.
Trend and Causative Factors of Road Traffic Crashes in Nigeria: A Six Sigma (DMAIC) Approach
Authors: Ibor Inah Oliver , Ikpi Ofem Michael , Ibiang Abam Fidelis , Effiom Samuel Oliver , Okon Jimmy Omini
Published: February 2025

In Nigeria, Road Traffic Crashes (RTC) are a major health problem that result in numerous deaths and financial losses. Thus, it is important to monitor the existing road safety policies and continue further steps to prevent RTC. This study used the Define, Measure, Analyse, Improve, and Control (DMAIC) approach of Six Sigma to investigate the trends and causative factors of RTC in south-south and southeast regions in Nigeria between 2020 and 2023. The findings reveal that the south-south region experienced a higher number of total RTC including a higher proportion of crashes resulting in death (17.5%) compared to the southeast region (14.4%). The majority of crashes in both regions resulted in a serious injury outcome (south-south region, n=6,281, 82.5%; southeast region, n=6,529, 85.6%). Study findings indicated that the mortality, human damage, and case fatality rates were statistically significant between the two regions, with the south-south region facing more severe consequences of each. Overall, the causative-effects analysis showed that speeding violations was the primary contributors to RTC in both the regions. Short and long-term measures for improvement to prevent RTC are included.