bluuebunny/crossref_metadata_2025 huggingface dataset:
Time Series Foundation Model for Improved Transformer Load Forecasting and Overload Detection
Authors: Hou Yikai , Ma Chao , Li Xiang , Sun Yinggang , Yu Haining , Fang Zhou
Published: December 2024

Tasks such as transformer load forecasting, and heavy overload prediction have always been handled in previous work by simple models such as LSTM and XGBoost, which are not able to handle the increasing amount of data in power systems. Recent Foundation models have changed the task-specific modeling approach in time series analysis, they can scaling up to large time series variables and datasets across domains, however the simple pre-training setting makes it unsuitable for complex downstream tasks. To address this problem, this paper proposes the FreqMixer framework for adapting recently proposed time series foundation models to complex tasks in power scenarios, such as the task of predicting transformer load fluctuations caused by the Spring Festival returnees. Experiments demonstrate that the FreqMixer large model is able to adapt to a variety of downstream tasks, obtaining optimal performance in tasks such as overload prediction and load rate prediction (23.65% MAPE reduction, as well as 87% Recall improvement and 72% Precision improvement), while being able to memorize all the large amount of transformer data in a parametrically efficient manner (0.4%) for better performance.
Specific Composition Diets and Improvement of Symptoms of Immune-Mediated Inflammatory Diseases in Adulthood. Could the Comparison Between Diets Be Improved?
Authors: Guerrero Aznar M Dolores , Villanueva Guerrero M Dolores , Beltrán García Margarita , Hernández Cruz Blanca
Published: December 2024

Diet is considered a possible cofactor, which affects the immune system and potentially causes dysregulation of intestinal homeostasis and inflammation. This study aimed to review the quality of evidence on the effects of specific diet composition on symptoms of immune-mediated inflammatory diseases (IMIDs), including rheumatoid arthritis (RA), spondyloarthritis, multiple sclerosis (MS), inflammatory bowel disease (IBD) [remission maintenance of Crohn´s disease and ulcerative colitis], psoriasis and psoriatic arthritis in adult patients. We conducted a review of meta-analyses and Cochrane systematic reviews using PubMed and EMBASE, from inception to September 2024, and Google Scholar. The methodological quality of the meta-analyses was assessed using the AMSTAR 2 rating system. Three Cochrane systematic reviews and eight meta-analyses were evaluated. Some specific composition diets have been shown to reduce the symptoms of RA, IBD, and MS and improve activity parameters in IBD and RA, with critically low or low levels of evidence. The reduction in inflammatory biomarker levels is unclear. This review summarizes the global dietary evidence to improve IMID symptoms, clarifying the weaknesses of clinical trials and dietary meta-analyses with critically low or low levels of evidence, and shows the need to use indices such as the Dietary Inflammatory Index, which allows diets to be classified by their pro-inflammatory or anti-inflammatory food content, to better compare diet groups in clinical trials. The difficulty of obtaining high-level evidence from dietary studies is apparent and may delay the application of the results.
Alternative and Augmentative Communication Options in Language Skills Development of Students with Specific Learning Disorders
Authors: Dumitru Cristina
Published: December 2024

The use of augmented reality, assistive technology (AT) and augmentative and alternative communication (AAC) presents an opportunity to significantly enhance the general reading abilities of students with specific learning disorders (SLD) by providing effective learning tools. This study aimed to assess students’ learning experiences to understand the effectiveness of AT and AAC in language skills development and identify the AT tools and devices used in classroom-settings, to better inform practitioners. A literature search was performed using various databases. The review included 22 articles, focusing on multiple implications of AT and AAC. Common factors associated with AT use in teaching students with SLD were identified, and a thematic investigation revealed recurring data on the impact of AT solutions on students with SLD. The findings indicate notable improvements in language skills among students with SLD. However, two articles reported limited effects or no effects on language skills, self-efficacy, and self-esteem. This review shows that AT and AAC effectively support language skills development and outcomes (vocabulary, spelling, orthography, phonological awareness, and reading comprehension) for students with SLD. Given the limited number of studies and the complexity of explored factors, this conclusion should be interpreted with caution.
Stock assessment of endemic tarek (Alburnus tarichi Güldenstädt, 1814) for the data-poor fishery from Lake Van (Türkiye)
Authors: Demirol Ferhat , Cilbiz Mehmet
Published: December 2024

Alburnus tarichi accounts for about 30% of the annual inland water catch in Turkey, which is about 33.000 tonnes. Lake Van is the world's largest alkaline lake and Turkey's largest lake at 3602 km2. Due to the unavailability of detailed data for the data-rich models, the stock of A. tarichi was assessed by the CMSY method based on catch data from 1967 to 2021. The values with their confidence intervals were computed for the Lake Van Tarek stock by the CMSY model are presented as follows: MSY=12.3 (10.8 - 14.2) ton*1000, k=92.4 (66.5 - 129) ton*1000, r=0.536 (0.377 - 0.76)*year-1, B2021=48.0 (29.4 - 55.1) ton*1000, BMSY=46.2 (33.2 - 64.3) ton*1000, F2021 = 0.202 (0.180 - 0.338)* year-1, FMSY = 0.268 (0.189 - 0.380)* year-1, F2021/FMSY = 0.772 (0.672 - 1.260), B2021/ BMSY = 1.04 (0.636 - 1.190). This study reveals that the stock of A. tarichi was subjected to significant and continuously increasing fishing pressure from the early unexploited years (1967 – 1996) and eventually became overfished in subsequent years (1997-2010). After the prohibition of summer fishing in 1997, which significantly reduced recruitment, the stock began to enter a recovery period in the early 2000s. As a result, the stock of A. tarichi has reached a sustainable level currently and has been assessed as a "healthy stock" based on the CMSY outputs.
Determination of effort in an energy-efficient system of electromagnetic charge holding
Authors: Liubarskyi Borys , Kryvosheiev Serhii , Eresko Oleksandr , Galitsa Vitalii , Poliakov Igor , Liubarskyi Dmytro
Published: December 2024

The article considers the conduct of a numerical experiment to determine the forces in the system of electromagnetic retention of the propellant charge of a gas detonation launcher based on the calculation of the magnetic field by the finite element method in a three-dimensional formulation of the problem. In order to introduce the technology of launching a propellant charge using a gas detonation launcher into domestic production, a study was conducted and a control system was developed, an element of which is an electromagnetic charge retention device. The main parameters used to control the launch energy are the initial pressure and the volume of the compressed gas charge. The value of these parameters depends on the conditions of injection of the gas charge into the device, which affects its further characteristics during the initiation of ignition. A study was conducted to determine the influence of the conditions of injection of the gas charge on its state before the moment of ignition. In particular, the influence of the injection pressure on the parameters of the gas charge at the moment of valve actuation was analyzed. The results of the research showed that the injection pressure has a significant effect on the final pressure of the gas charge during the full operation of the valve, which is an important factor for precise control of the flight range. A numerical experiment was conducted in which the current in the winding varies from 0 A to 12 A. According to the results of the calculations, the distribution of the magnetic field in the form of magnetic induction in the calculated region was obtained. The distributions of induction at different values of the current have a similar appearance, however, the induction increases with increasing current, which is due to the increase in the field strength with an increase in the total current. It was determined that the largest value of induction from 2.2 T. to 2.7 T. is located in the heel of the propelling charge, this is due to the fact that the cross-sectional area in the direction of the total magnetic flux is smaller than in the magnet body and the cup. According to the results of the numerical experiment, it was determined that the force of holding the projectile charge of 1000 N is achieved at a coil current of 2.41 A.
Predictive control of heating systems using IoT and predictive analytics
Authors: Nozdrenkov Valerii , Pavlov Andrii , Oleksiienko Galyna , Zhuravlov Oleksandr , Zhuravlov Yurii
Published: December 2024

The article explores the principles and methods of predictive control for heating systems using Internet of Things (IoT) technologies and predictive analytics to optimize energy consumption and maintain indoor temperature stability. The proposed model is designed to control the heating process in buildings by incorporating heat loss dynamics and leveraging external temperature forecasting. IoT sensors and external data from the OpenWeatherMap cloud service gather real-time environmental and system data. Predictive algorithms process this data to proactively generate control signals that adjust the heating system. The model adapts traditional PI/PID controllers for discrete-mode operation, particularly for modern boiler systems. This adaptation ensures high-quality transitional responses, prevents temperature overshoots, and minimizes fluctuations, all while maintaining energy efficiency and comfort. The implementation of the model is demonstrated using MATLAB Simulink for simulation and validation. Node-RED is used for software integration, utilizing the Modbus TCP protocol to enable communication between sensors, the control system, and actuators. The architecture follows a distributed “server–actuator” design, allowing centralized data processing with direct interaction with IoT devices. This setup facilitates integration with external services such as weather forecasting platforms. Modelling results confirm that integrating forecasted external temperature changes reduces energy consumption while ensuring stable indoor temperatures. The methodology demonstrates significant potential for energy-efficient heating control, highlighting the advantages of IoT technologies in automating climate control. Future developments could extend these techniques to broader building automation and energy management applications.
Research on steady-state conditions of a 110 kV electrical network and minimization of active power losses
Authors: Zahainova Oleksandra , Serdiukova Halyna
Published: December 2024

The object of analysis is a distribution electrical network that represents a fragment of an actual operational 110 kV network. The power sources are represented by four nodes, while the consumers include fourteen substations: 9 with three-winding transformers (110/35/10 kV) and 5 with two-winding transformers (110/10 kV). The total consumed power equals 51.7 MW. Nonlinear nodal equations in the form of power balance in a polar coordinate system were used to calculate the steady-state operating conditions. Mathematical models of the electrical network were applied to determine the voltage at all network nodes and the power flows within the network. Significant reactive power flows were identified in certain sections of the network, which are undesirable for its efficient operation. To ensure that the electrical network operates within voltage deviation norms at the nodes and that current loads on network elements remain permissible under the given power conditions, measures to reduce power losses were implemented. An analysis of power loss variations due to changes in the voltage of the balancing node was conducted. Increasing the voltage at the balancing node's buses by 5 kV reduced the total active power losses from 0.9086 MW to 0.8305 MW. Furthermore, the installation of static capacitor banks at the nodes of the distribution network significantly reduced active power losses. Before the installation of the static capacitor banks, the losses amounted to 0.9086 MW, and after the installation, they decreased to 0.7890 MW. The impact of forced power flow redistribution in the network through the opening of closed network loops was also analyzed. The opening of loops in the analyzed network does not lead to a reduction in total active power losses, as the 110 kV network is nearly homogeneous. The practical significance of the obtained results lies in the potential to reduce power losses in the network by normalizing voltage levels and achieving more comprehensive compensation of reactive power.
Blended Learning and Critical Thinking in Acrylic Removable Partial Denture Theory Course
Authors: Fitriyanti Fitriyanti , Marsigid Didik , Wiyanti Sri Wiwik
Published: December 2024

This study aimed to examine the influence of blended learning model and critical thinking on students’ learning outcomes in acrylic removable partial denture theory course. The research was preceded by designing a blended lesson on acrylic removable partial denture theory course using the ASSURE learning model by considering objective conditions in the Department of Dental Engineering, Health Polytechnic, Ministry of Health, Jakarta II. Experiment was used as the research method with 2x2 treatment by level design. The data analysis was carried out using two- way analysis of covariance (ANCOVA). The results of the research found that students’ learning outcomes in the blended learning acrylic removable partial denture theory course were generally better than face-to-face learning, especially in the group of students with high critical thinking. The group of students with low critical thinking did not produce significantly different results.
Utilization, Simulation and Learning: The Virtual Laboratory Learning Media PhET for Outcomes Learning
Authors: Warneri Warneri , Salam Urai , Putri Wicha Amalia , Imandari Ratih Zatil , Pratiwi Rani Diah , Chairunnisa Tara
Published: December 2024

This study examines the effectiveness of PhET simulations in improving physics learning outcomes for Class XII IPS 4 students at SMA Negeri 1 Beduai. Physics is often perceived as a challenging subject due to its abstract concepts, which are difficult to visualize and understand using traditional teaching methods. Interactive digital tools like PhET simulations offer a promising approach to help students grasp complex concepts more easily. Using a quasi-experimental design, the study compares an experimental group, which used PhET simulations, with a control group that followed traditional teaching methods. The study analyzed pre-test and post-test scores to assess the impact of the simulations on student learning. The results show a significant improvement in the experimental group's performance, with post-test scores noticeably higher than pre-test scores. Statistical analysis, including paired sample t-tests, confirmed that PhET simulations significantly enhanced students' problem-solving skills and understanding of physics concepts (t = -17.329, p < 0.05). These findings highlight the effectiveness of PhET simulations, combined with an inquiry-based learning approach, in fostering a deeper understanding of abstract physics concepts and promoting critical thinking. Overall, this study supports the use of PhET simulations as a practical and accessible tool for improving physics education, even in schools with limited technological resources.
Augmented Reality in Improving Writing Skills Learning Experiences in Vocational High School Students
Authors: Sari Ni Wayan Ayu Permata , Sudrajat Yayan , Casande Suwito , Syarif Muhammad , Monarchi Angie Melody
Published: December 2024

This arises from adapting 21st century learning in the form of learning skills, literacy skills, life skills, skills and attitudes, as well as mastery of technology. 21st century learning will improve students' learning experience, especially learning Indonesian with the topic of writing internship reports even though the teacher still provides stimulants in class using learning media. Augmented Reality (AR). The purpose of this research is for media development Augmented Reality (AR) in improving the learning experience of writing skills, knowing the suitability of the media Augmented Reality (AR) in improving the experience of learning writing skills, and knowing the effectiveness of the media Augmented Reality (AR) in improving the experience of learning writing skills Research methods used is research and development or Research and Development (R&D) which adopts the Lee and Owen development model with 5 stages, namely needs analysis, analysis front-end, design, development, implementation, and evaluation (ADDIE). The results of the development are application products with learning media augmented reality.
How Is It Done: A Qualitative Analysis of Teachers Strategies in Meeting the Challenges of Differentiated Instruction
Authors: Juwita Ratna , Sukmawati Fatma , Santosa Eka Budhi , Cahyono Budi Tri , Prihatin Relly , Suparmi Suparmi
Published: December 2024

Differentiated Instruction (DI) is considered an important but challenging task which many teachers feel unprepare. A list of requisite skill of DI is needed to eliminate teachers’ unpreparadness. This study aimed to explore requisite skills for DI implementation and to identify best practices across various school levels. Using 112 self-reported essays, subsequent interviews, videotaped DI practices, and experts meeting, this article employed Cognitive Task Analysis (CTA) to capture a description of the knowledge that experts use to carry out differentiations. The result revealed that CTA of DI implementation contained four essential skills in the preparation phase, nine skills in the implementation phase, and two skills in the evaluation phase. Despite of highly different contexts of school levels, this study found similarities in DI practices across all levels. This study contributes to the existing body of knowledge on DI by highlighting the effectiveness of CTA in identifying and implementing DI strategies across different educational levels. Future research should explore the long-term impacts of DI on student achievement and engagement, as well as investigate DI practices in different educational settings.
Development of Virtual Tour Media of Sambisari Temple as a History Learning Media in High Schools
Authors: Nurbaiti Islami Chotimah Anisa , Sariyatun Sariyatun , Ardianto Deny Tri
Published: December 2024

This study aims to develop a Virtual-based learning media centered on Sambisari Temple  to enhance the quality of history education. The research employed the Research and Development (R&D) method using the ADDIE model. Data were collected through interviews, observations, and questionnaires involving 30 tenth-grade students at SMA Angkasa Adisucipto. The data analysis revealed that the Virtual Tour Sambisari Temple  application, developed using tools like Blender, Unity 2022, and Canva, demonstrated high feasibility. The material validation received an average score of 93%, and media validation achieved 79%, both categorized as “feasible”. The trial with students showed an average response score of 81.76% classified as “very practical”. The application features interactives tools, 260-degree visual panoramas, and historical information aligned with the curriculum, presented in an engaging format. It operates both online and offline, allowing students to explore historical sites effectively without visiting the location in person. The findings indicate that the Virtual Tour Sambisari Temple  application enhances students’ understanding of history topics and motivates them to learm through innovative and engaging approaches. This study provides a framework for integrating technology inti learning media, paving the way for future developments in educational technology.
Development of Physics E-Learning Based on Discovery Learning to Improve Students' Conceptual Understanding and Learning Interest
Authors: Pratiwi Juli , Rahmad M. , Syahril Syahril
Published: December 2024

Thermodynamics material is abstract material that causes misconceptions. Misconceptions are caused by several things, one of which is the use of learning media that has not been maximized. The procedure for developing physics e-learning based on discovery learning uses the ADDIE type Instructional Design and only reaches the practicality test stage. The developed e-learning contains attendance, discussion forums, e-modules that guide students to improve their understanding of concepts, learning videos, power points, student worksheets, quizzes, summative assessments, glossaries and references to other relevant reading sources with a validity value of 0.92 with a very valid category, a teacher's practicality value of 95.00 and a student's practicality value of 90.25 with a very practical category. Based on the results of validity and practicality, it can be concluded that physics e-learning based on discovery learning is feasible to use in physics learning.
Literatura, cine y periodismo: La ficcionalidad en la adaptación cinematográfica desde el reportaje periodístico en Diario de un skin
Authors: Pascual Gutiérrez Ana
Published: December 2024

Periodismo y literatura se han desarrollado paralela y conjuntamente a lo largo de la historia, tejiendo un entramado de relaciones que suscitan arduos debates aún en la actualidad. La identificación tradicional de la literatura con la ficcionalidad y el periodismo con la objetividad –o ausencia de subjetividad–, respectivamente, se cuestiona con fuerza cuando en la década de los sesenta del siglo XX el Nuevo periodismo norteamericano experimenta con técnicas literarias para la narración de sucesos verídicos, derivando en la denominada ‘literatura de no-ficción’. Con este marco de referencia, este artículo explora las manifestaciones de esta hibridación en la adaptación cinematográfica Diario de un skin (2005), desde el reportaje periodístico homónimo de Antonio Salas publicado en 2003.
A Limping Mother and a Witch-whore: Monstrous Maternities in Elena Ferrante’s The Neapolitan Quartet
Authors: Recio Ruiz Elena
Published: December 2024

Motherhood has traditionally been depicted as the greatest form of love and compassion in our society, and it was believed that maternity was the ultimate step a woman could take to accomplish a fulfilled womanhood. Maternity is supposed to become a source of happiness for the mother, who sacrifices her own identity in the name of motherhood. Nonetheless, for the biological phenomenon of becoming pregnant and a mother, society has set high‑standard expectations, categorising women either as ‘good mothers’ or ‘bad mothers’, depending on whether they can fulfil unrealistic goals. This paper analyses the complexity of subversive mother characters in Elena Ferrante’s saga The Neapolitan Quartet, examining the monsterisation female characters undergo when they do not conform to conventions.
Feeding Anxieties and the Identity of the Artist: The Monstrous Mother in Rachel Yoder’s Nightbitch (2021)
Authors: Álvarez Trigo Laura
Published: December 2024

This paper examines the representation of monstrous motherhood in Rachel Yoder’s Nightbitch (2021) through theorizations of female monstrosity, with a specific focus on the role that food and art play in the narrative. While idealized motherhood is often associated with homemaking—especially food preparations and serving—Nightbitch’s animalistic subjectivity leads to a blood thirst that slowly but surely drives her away from traditional sanitized maternal cooking and cleaning. Besides, the loss of her professional identity as an artist caused by becoming a stay-at-home mother is ultimately tackled through performance art. In combination, these attitudes lead her further away from societal expectations of motherly behavior as she welcomes the monster within her.
Monstrosity as Rescue: Challenging the Institution of Motherhood in Rachel Yoder's Nightbitch
Authors: Serrano Elena Paula
Published: December 2024

This article examines Rachel Yoder’s contemporary novel Nightbitch (2021) –a literary debut about a mother who evolves from a miserable, anxious, lonely stay-at-home mom to a furious, howling monster, expressing motherhood’s injustices by metamorphosing at night into a wild dog–. In the pages that follow, after briefly exposing the connection between the patriarchal institution of motherhood (Rich, 1986) and maternal mental health and introducing the recent feminist use of the fantastic genre, the article explores how the transformation of the protagonist influences her recovery. Additionally, it examines the development of a way of mothering that is rebellious against patriarchal power.
Thetis: Beyond Maternal Norms. Understanding the Concept of Motherhood through Representations of Thetis
Authors: Aslanoglu Gulcan Irmak
Published: December 2024

In Greek mythology, Thetis, mother of Achilles, defies the traditional archetype of the ideal mother figure, portrayed instead as a complex deity with layers of strength and resentment. Often overlooked in her role as a nurturing parent, Thetis emerges from the retellings of the Iliad as a powerful goddess whose wrath and vindictiveness towards Achilles’ mortal lineage reflect her divine origins and agency. This article explores how Thetis’ character evolves beyond maternal norms, reclaiming her place as a formidable force in both mythological narrative and maternal dynamics.
Introduction
Authors: Nido Almudena
Published: December 2024

Introduction to the monographic section «The Monstrous Mother in Literature»
Asociación entre sedentarismo y mortalidad según índice de masa corporal en adultos mayores
Authors:   , Esteban Marin Nasheyra , Felipe Malasquez Nicolle Andrea
Published: December 2024

Introducción: El sedentarismo en adultos mayores es muy frecuente, debido a factores relacionados con el envejecimiento y las comorbilidades que se relacionan con la disminución de las capacidades físicas ocasionando dependencia funcional que tendría una relación bidireccional con la pobre actividad física. Objetivo: Determinar la asociación entre sedentarismo y mortalidad en adultos mayores según las categorías del Índice de Masa Corporal (BMI). Métodos: El diseño es observacional, analítico de tipo cohorte retrospectiva. Se analizaron los datos de acceso abierto del estudio “CEMENA Frailty Study”. La mortalidad fue evaluada según información de la oficina de epidemiologia de la Marina de Guerra del Perú; el Índice de Masa Corporal (BMI) fue calculado según peso y talla al inicio del seguimiento de los participantes; y sedentarismo fue evaluado por la escala Physical Activity Scale for the Elderly (PASE). Resultados: Se encontró que el 18.87% del estudio (n=294) tenían obesidad, además se evidencia que el 45.44% (n=708) sufrían de sedentarismo y 10.59% (n= 165) de participantes fallecieron durante el seguimiento. En adultos mayores con sedentarismo y valores extremos de Índice de Masa Corporal (IMC) se encontró alto riesgo de mortalidad. Conclusiones: Se encontró que el riesgo de mortalidad es más alto en adultos mayores con sedentarismo con Índice de Masa Corporal (IMC) menor a 18.5 y mayor a 30.
Características de la producción científica mundial sobre Diabetes Mellitus y Páncreas Artificial: estudio bibliométrico (2011-2020)
Authors:   , La Torre Beteta Rosario Angelica , Marin Garaundo Eileen Alexandra
Published: December 2024

Antecedentes: La diabetes mellitus es un tema de salud pública importante por lo que es imperativo indagar en prontas soluciones. La innovación de tecnología en la última desarrolló como tratamiento el uso de páncreas artificial. El objetivo de este estudio fue describir las características de la producción científica mundial sobre Diabetes Mellitus y Páncreas Artificial entre los años 2011 al 2020. Materiales y Métodos: Se extrajo la producción científica sobre DM y PA, publicadas entre 2011 y 2020 de la base de datos de Scopus (Elsevier). Los metadatos se descargaron como un archivo.csv de Scopus y luego se exportaron a Microsoft Excel para el procesamiento de las tablas y gráficos. Para un análisis más profundo se exportó a Scival. Se extrajo las principales características como revistas, autores, instituciones, métricas de revistas por cuartiles, subcategorías y redes colaborativas. Resultados: Se recuperaron un total de 778 publicaciones científicas. Las mayores tasas de colaboración se originaron de la colaboración nacional, pero el mayor impacto resultó de la colaboración internacional. La revista Journal of Diabetes Science and Technology tuvo la producción más alta con 143 publicaciones; sin embargo, la revista The Lancet Diabetes and Endocrinology tuvo el mayor índice de impacto. Asimismo, la mayor cantidad de publicaciones se encontraron en cuartil uno (Q1). Dentro de las universidades más productivas, el primer lugar lo obtuvo la Universidad de Virginia con 86 publicaciones. El autor con mayor producción científica se reconoce a Dassau Eyal con 55 publicaciones. Finalmente, la subcategoría de Endocrinología, Diabetes y Metabolismo se coloca como la subcategoría con mayor producción científica con 523 publicaciones. Conclusiones: Según el CiteScore percentil, el 62,2% de la producción científica mundial sobre DM y PA se encontró en las revistas de Q1, siendo Journal of Diabetes Science and Technology…
Déficit auditivo y su asociación con caídas en adultos mayores residentes en comunidades altoandinas
Authors:   , La Serna Valer Sarela Ibeth , Rivas Ramos Ivonn
Published: December 2024

Las caídas son un síndrome geriátrico complejo en el que participan múltiples factores, incluyendo disfunciones sensoriales como la hipoacusia. En el contexto de adultos mayores residentes en comunidades altoandinas no se evidencian estudios que asocien dichas variables, por lo tanto el objetivo de este estudio fue analizar si el déficit auditivo es un factor de riesgo para caídas en adultos mayores de comunidades altoandinas peruanas, a través de un diseño observacional, tipo analítico, retrospectivo a partir de una base de datos de adultos mayores de ambos sexos residentes en comunidades altoandinas durante el período 2012-2020 donde el universo se compuso de 453 adultos mayores. Los resultados muestran que ser adulto mayor, residir en comunidades de gran altitud y tener problemas de audición tienen un 13% mayor prevalencia de caídas y se evidenció una alta asociación a factores como: ser divorciado, tener una o dos o más comorbilidades, sufrir dependencia funcional y tener antecedentes de una hospitalización.
Factores asociados a la aceptación de los padres de Lima metropolitana de la vacuna contra el virus del papiloma humano en sus hijas: un estudio transversal
Authors:   , Juarez Leon Valeria Andrea , Calderon Solano Delahnie Camila
Published: December 2024

Introducción: Para el año 2022, en el Perú, el cáncer de cervicouterino fue la primera neoplasia con más frecuencia en la población femenina, registrándose desde 348,186 muertes a 661,044 casos por cáncer cervicouterino, siendo el Virus del Papiloma Humano, una causa primordial en su desarrollo. La prevención contra el VPH radica primordialmente en la vacunación contra este, lastimosamente para el año 2016 el porcentaje de vacunación contra el VPH en Perú resultaron bajas, incluyendo únicamente al 55% de la población peruana, considerándose una gran problemática de salud pública. Es por tal motivo que este estudio se enfocó en determinar los factores asociados a la aceptación de la vacuna contra el VPH por parte de los padres en Lima Metropolitana en sus hijas. Metodología: Se realizó una investigación de tipo cuantitativo analítico observacional transversal conformado por una población de 222 padres de niñas y adolescentes entre las edades 9 y 19 años en Lima Metropolitana. Como variable dependiente del estudio se tuvo la aceptación de la vacuna contra el VPH, evaluando datos demográficos, de conocimientos sobre el VPH, aspectos socioeconómicos y culturales. Resultados y análisis: Como factores asociados a la aceptación de los padres hacia la vacuna contra el VPH se encontró que el tener una mayor instrucción a nivel educativo se asocia con mayor aceptación) (RP:1.21, IC:1.03-1.42, p= 0.02), padres que se encuentran estudiando respecto a los que trabajan (RP:2.43, IC95%:1.77-3.32, p= 0.00), padres casados respecto a los convivientes (RP:0.71, IC:0.53-0.95, p= 0.02) y experiencia previa de vacunación (RP:1.35, , IC:1.11-1,63 p= 0.000). Discusiones y conclusiones: Los determinantes asociados a la aceptación de la vacuna contra el VPH en padres de Lima Metropolitana incluyen aspectos sociodemográficos y experiencias previas de vacunación.
Estructura de costos y fijación de precios de servicios en la empresa de transportes M&J Corporation S.R.L. Ate, Perú, 2020
Authors:   , Espinoza Navarro Medaly Lucero
Published: December 2024

Las empresas deben estar preparas ante la compentencia de los rivales en el mercado, el servicio que se brinda debe ser de alto valor agregado y una especiazalicion notable y deben establecer herramientas para la mejora continua. El presente estudio propuso como principal objetivo determinar influencia de estructura de los costo en la fijación de precios de los servicios de la empresa de transporte en Ate, Peru, 2020. La muestra comprende total de 20 colaboradores de las oficinas de administración, muestreo por conveniencia no probabilístico. Se administró un cuestionario debidamente validada por los juicios expertos, se obtuvo un alfa de Cronbach =0,749 para la variable estructura de costo de servicio y un alfa de Cronbach =0,780 en la variable fijación de precios de servicios, con lo cual muestra la confiabilidad. Respecto con la metodólogia aplicada fue de diseño, no experimental, enfoque cuantitativo. Se trabajó con análisis estadísticos, tablas y figuras para poder medir la correlación y el uso de rho de Spearman. En conclusión estructura de costo tiene relación directa con fijación de precio de servicio en la empresa de transporte, esto se sustenta porque el nivel de significancia fue de 0,557 lo que interpreta una correlación de las variables en la empresa transporte en Ate, Peru, 2020.
WITHDRAWN: Designing of Optimized Offloading and Load Balancing Schemes for Cloud-Edge Computing in the Internet of Vehicles
Authors: Gourav Kumar , Gupta Kavita
Published: December 2024

The full text of this preprint has been withdrawn, as it was submitted in error. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Airway management during intratracheal stenting operation under general anesthesia with endotracheal intubation by low-frequency mechanical ventilation
Authors: Chen Yajing , Yang Jiaojiao , Yao Juan , Wang Zhen , Sun Jie , Teng Gaojun
Published: December 2024

Background Tracheal stent placement is one of the most commonly used methods to treat malignant intratracheal stenosis (MIS) and trachea-oesophageal fifistulas (TOF). But this treatment challenges anesthesiologists to maintain a normal respiratory function during the operation. The main task of airway management is maintaining adequate oxygenation so as to reduce airway complications. In earlier years, rigid bronchoscope with high frequency jet ventilation was the most frequently-selected method. But this method may lead to a lot of complications. In this article, we introduced another airway management method with endotracheal intubation by low-frequency mechanical ventilation.Objectives To introduction a method that low-frequency mechanical ventilation in intratracheal stenting operation under general anesthesia with endotracheal intubation.Study Design and Methods: The location, degree, and infifiltration of lesion were observed by an experienced doctor. The dyspnea score, location of TOF and stenoses, the relationship between endotracheal tube and lesions position, and intratracheal stenosis classifification were recorded. The intratracheal stenosis numerical assignment of degree was calculated of decreasing in cross sectional area by the ratio according to a computerized tomography (CT) scan. Complications including stent displacement, fracture, bleeding and transferred to intensive care, were collected until 24 hours after the stent operation.Results One hundred and eighty fifive patients underwent 186 times stent placement operations. All these patents received general anesthesia with mechanically ventilation. Catheter Mount Extendable(Covidien), which were employed to prevent air leakage during ventilation. No carbon dioxide accumulation occurred during the anesthesia and operation.Conclusion General anesthesia with trachea intubation by low frequency mechanical ventilation is an effective and safety method in the intratracheal stenting operation.
Social maintenance masks induced aggression in zebrafish
Authors: Kuniyil Ashil Arroth , Malik Muhammed Sinan , Sivarajan Dhanusha , Amar Atheena , Chathooth Nimisha , Ramachandran Binu
Published: December 2024

Animal behavior is dynamically shaped by internal states and external social contexts. This study examines how internal states and social buffering influence aggression and social behavior. Food deprivation and mirror stimuli amplified aggression and reduced exploratory activity, highlighting a state-dependent shift in behavioral priorities. However, the presence of conspecific cues significantly mitigated aggression, irrespective of hunger, underscoring the regulatory role of social interaction. These results demonstrate the critical interplay between metabolic and social factors in modulating stress-related behaviors and position zebrafish as a powerful model for unraveling the neurobiological mechanisms underlying social modulation and adaptive behavioral strategies.
Building Distant Metastasis Models for HNSCC Using Machine Learning Techniques
Authors: Ma Changping , Chen Yaoqi , Mao Jingjing , Xue Jiawen , Xu Xinyi , Zhuo Zhongwei
Published: December 2024

Background: Accurate assessment of the risk of distant metastasis of head and neck squamous cell carcinoma (HNSCC) is important for the development of personalized treatment and prognosis. The purpose of this study was to explore the risk factors for distant metastasis of HNSCC and to establish a predictive model using machine learning methods.
Materials and methods: We designed a retrospective cross-sectional study with a cohort from the SEER database (affiliated with the National Cancer Institute). A total of 31,060 cases of head and neck cancer were included by our inclusion criteria. We constructed four machine learning models—Logistic Regression, Decision Tree, XGBoost, and Neural Network—to predict the risk of distant metastasis in HNSCC patients and compared the performance of the four models. Accuracy, precision, recall, and F1-score were used to evaluate the performance of the model. The evaluation ability and clinical practicability of the model were verified by comparing the area under the curve and the receiver operating characteristic curve.
Results: The receiver operating characteristic of the four models ranged from 0.681 to 0.847. The average accuracy of all algorithms was 77 %, and XGBoost had the highest accuracy of 85.119 %. Among the four models, XGBoost and Logistic Regression had the highest precision, both with precision greater than 79. Neural Network had the highest recall and F1-score. Decision Tree had the lowest accuracy and recall. Among the four models, the area under the curve of Decision Tree was the lowest, at 0.690, whereas that of XGBoost was the highest, at 0.846. Overall, XGBoost had the best predictive effect.
Conclusion: XGBoost had the highest classification accuracy, so this machine learning method could be used to predict distant metastasis of HNSCC. The application of machine learning algorithms can stratify patients with HNSCC in clinic, which is conducive to the development of personalized treatment plans.
Clinical Relevance:The findings of this study have significant implications clinical management of HMSCC.The superior predictive performance of XGBoost,as demonstrated by its high precision and area under the Decision Curve,suggests that this machine learning algorithm could be effectively integrated into clinical practice to predict distant metastasis in HMSCC patients.This has the potential to enhance the accuracy of prognostic assessments, thereby facilitating more informed treatment planning and personalized care.
How to assess fungal contamination of indoor air in dwellings of patients with cystic fibrosis?
Authors: Géry Antoine , Bouchara Jean-Philippe , Heutte Natacha , Laurans Muriel , Bonhomme Julie , Garon David
Published: December 2024

Chronic colonization by filamentous fungi in patients with cystic fibrosis (pwCF) is linked to declines in lung function and quality of life. To better assess indoor mold exposure, 23 French dwellings of pwCF from CF care centers in Normandy and Maine & Loire, France were visited. Bioaerosols collected using Coriolis® µ and Coriolis® compact biocollectors and dust were cultured on four different media: Potato Dextrose Agar (PDA), Malt Extract Agar (MEA), Sabouraud Chloramphenicol Gentamicin (SCG) and Sabouraud Chloramphenicol Gentamicin Actidione (S+). A total of 164 fungal species were identified (44 in both air and dust, 77 in air only and 43 in dust only), with no significant difference in average species count between air and dust samples (p=0.353). The Coriolis® µ biocollector yielded significantly higher species recovery and fungal load from air samples compared to the Coriolis® compact biocollector (p<0.001 and p<0.0001, respectively). Higher CFU/L for Aspergillus, Fusarium, Mucor and Rhizopus were found on MEA, PDA and SCG media compared to S+ (p=0.037, p=0.005 and p=0.030, respectively). Alpha diversity was also greater on MEA, PDA and SCG media than on S+ medium (p=0.001, p<0.0001 for PDA and SCG) and PDA than on MEA (p=0.008). The distribution of common fungal genera was consistent with literature, except for higher frequencies of Fusarium and Talaromyces in our study. In conclusion, air sampling with the Coriolis® µ biocollector and inoculation on PDA or MEA media is recommended for this type of field study.
Developing primary mental health services for under-resourced communities emerging from epidemics
Authors: Ssebunnya Joshua , Turyahabwa Joy , Mugisha James , Kyohangirwe Leticia , Rutakumwa Rwamahe , Tusiime Christine , Ssentongo Hafsa , Kinyanda Eugene
Published: December 2024

Background
The outbreak of Ebola Virus Disease (EVD) is a public health emergency that is not only associated with mortality, but also disproportionally linked to an increased burden of mental disorders in the communities. The disease is associated with social exclusion, physical morbidity, high mortality, and mental health disorders such as depression, anxiety, substance abuse and PTSD; often affecting the survivors, frontline health workers and members of the affected communities. In this article, we describe the process of developing a collaborative stepped care mental health integration model to address the medium and long term Ebola Virus Disease associated mental health problems in a low resource context.
Methods
The Theory of Change (ToC) methodology was used to guide the process. Three successive ToC workshops were held with a diverse sample of 44 participants drawn both at national and district level; in a district which was the epicenter of the 2022 Ebola outbreak in Uganda. Most of the participants were members of the Ebola Response Task Force. The first 2 workshops were for generating practical ideas on how to address mental health challenges associated with EVD outbreak, while the third and final workshop was for consensus building.
Results
The stakeholders suggested better mental health outcomes for the general population as the ultimate outcome of the program. This would be preceded by full recovery from the negative mental health effects of the epidemic, improved mental wellbeing for the affected population as well as productivity and functionality. These and several other short-term, intermediate outcomes would have to be achieved following several interventions undertaken at all levels of care. The participants further identified some indicators of successful implementation such as emphasis of mental health in the disaster management plans, mental health indicators in the routine reports etc; as well as some assumptions underlying the intervention. All these were graphically aligned in a causal pathway, leading to a ToC map, contextualizing and summarizing the intervention model.
Conclusion
The process highlighted the relevance of mental healthcare in building health system outbreak resilience amidst the numerous health system challenges.
Investigation of the Association between Intracranial Remote Recurrence and MYC in Astrocytoma.
Authors: Kumon Masanobu , Nakae Shunsuke , Ohba Shigeo , Abe Masato , Yamada Seiji , Sasaki Hikaru , Kato Takema , Kurahashi Hiroki , Hirose Yuichi
Published: December 2024

Astrocytomas are characterized by poor prognoses and high rates of intracranial remote recurrence. Previous studies identified 8q gain, particularly in the terminal region, as a poor prognostic factor. This study evaluated the role of MYC, an oncogene on 8q24.21, in astrocytoma progression and recurrence patterns. A retrospective analysis was conducted on 27 astrocytoma patients treated between 2006 and 2019. Immunohistochemical (IHC) staining of MYC, copy number analysis using metaphase comparative genomic hybridization (CGH) and next-generation sequencing (NGS), and recurrence pattern evaluations were performed. Statistical analyses assessed associations between MYC expression, 8q gain, and recurrence patterns. Among 43 specimens analyzed by IHC, MYC expression was observed in 72% of cases, with higher positivity in recurrent specimens (80%) than in initial specimens (61%), though this was not statistically significant (p = 0.30). Copy number analysis revealed a significant association between higher copy numbers in the MYC region and remote recurrence (p = 0.026). However, no significant relationships were found between MYC expression and 8q gain (p = 1.0) or recurrence patterns (p = 0.081). While MYC expression is prevalent in astrocytomas, its direct role in remote recurrence remains unclear, underscoring the need for further molecular studies to identify drivers of poor prognosis.
Pathogen-specific stomatal responses in cacao leaves to Phytophthora megakarya and Rhizoctonia solani
Authors: Ahn Ezekiel , Baek Insuck , Lim Seunghyun , Jang Jae Hee , Hong Seok Min , Prom Louis K. , Kirubakaran Silvas , Cohen Stephen P. , Lakshman Dilip , Kim Moon S. , Meinhardt Lyndel W. , Park Sunchung
Published: December 2024

We investigated the impact of the black pod rot pathogen (Phytophthora megakarya) and a non-pathogenic fungus (Rhizoctonia solani) on stomatal aperture in two cacao genotypes (SCA6 and Pound7) under varying light conditions. Image analysis revealed diverse stomatal responses, including no change, opening, and closure, that were influenced by the interplay of genotype, pathogen strain, and light conditions. Notably, SCA6 exhibited stomatal opening in response to P. megakarya specifically under a 12-hour light/dark cycle, suggesting a light-dependent activation of pathogen virulence factors. In contrast, Pound7 displayed stomatal closure in response to both P. megakarya and R. solani, indicating the potential recognition of conserved Pathogen-Associated Molecular Patterns (PAMPs) and a broader defense response. Machine learning was used to predict stomatal area size and classify pathogen treatments based on stomatal traits in cacao. Size-related traits were the strongest predictors of stomatal area size, while shape-related traits were also significant. This combined approach is promising for disease phenotyping and development of resistant crop varieties.