bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring Health Care Professionals’ Perspectives on the Use of a Medication and Care Support System and Recommendations for Designing a Similar Tool for Family Caregivers: Interview Study Among Health Care Professionals (Preprint)
Authors: Ashimwe Aimerence , Davoody Nadia
Published: October 2024

BACKGROUND

With the aging population on the rise, the demand for effective health care solutions to address adverse drug events is becoming increasingly urgent. Telemedicine has emerged as a promising solution for strengthening health care delivery in home care settings and mitigating drug errors. Due to the indispensable role of family caregivers in daily patient care, integrating digital health tools has the potential to streamline medication management processes and enhance the overall quality of patient care.

OBJECTIVE

This study aims to explore health care professionals’ perspectives on the use of a medication and care support system (MCSS) and collect recommendations for designing a similar tool for family caregivers.

METHODS

Fifteen interviews with health care professionals in a home care center were conducted. Thematic analysis was used, and 5 key themes highlighting the importance of using the MCSS tool to improve medication management in home care were identified.

RESULTS

All participants emphasized the necessity of direct communication between health care professionals and family caregivers and stated that family caregivers need comprehensive information about medication administration, patient conditions, and symptoms. Furthermore, the health care professionals recommended features and functions customized for family caregivers.

CONCLUSIONS

This study underscored the importance of clear communication between health care professionals and family caregivers and the provision of comprehensive instructions to promote safe medication practices. By equipping family caregivers with essential information via a tool similar to the MCSS, a proactive approach to preventing errors and improving outcomes is advocated.
Global Applications of GPT in Cancer for Screening, Diagnosis and Treatment - a Comprehensive Review (Preprint)
Authors: Xu Ao , Chai Zhengtong , Sun Chudi , Xu Hang , Xu Aimin , Huang Junjie , Kong Xiangyi , Ge Zongyuan , Huo Yujia , Zhang Lin
Published: October 2024

UNSTRUCTURED

Objective: GPT has demonstrated its powerful medical applications. The objective of this paper is to summarize and analyze the current clinical case research on GPT in cancer screening, diagnosis and treatment, thereby advancing the real-world applications of GPT in the field of oncology.
Materials and Methods: Here, we present a comprehensive introduction and valuable insights into the potential applications of the Generative Pre-trained Transformer (GPT) approach in cancer screening, diagnosis, and treatment.
Results: We note that GPT can assist in early cancer screening. Its capabilities, including automated report generation and cancer biomarker analysis, provide accurate screening results and facilitate the creation of personalized treatment plans by healthcare professionals. Furthermore, GPT can predict the effectiveness of various therapies and potential side effects, considering the patient’s clinical characteristics and cancer types. This predictive capacity provides robust decision-making support to clinicians. Throughout the treatment process, GPT enables real-time disease progression monitoring, providing timely feedback and optimizing treatment strategies to improve treatment efficacy.
Discussion: The utilization of GPT offers the opportunity to establish an advanced and comprehensive framework for cancer screening, diagnosis and treatment, characterized by enhanced precision and broad applicability.
Conclusion: Overall, GPT approach has the potential to greatly improve the medical experience and enhance therapeutic efficacy for cancer patients.
Facilitators and Barriers to Digital and In-Person Communication for Pregnant People of Color: A Content Analysis (Preprint)
Authors: Goh Amy , Nguyen Tam , Cortés Dharma , Edmonds Joyce
Published: October 2024

BACKGROUND

Pregnant people of color often report poor communication with their healthcare providers, yet there is limited understanding of how their experiences with both face-to-face and digital communication intersect and effect their care.

OBJECTIVE

The aim of this study was to explore pregnant people of color’s perceptions of communication with their providers, both in-person and via the patient portal, to identify barriers and facilitators to quality communication with their prenatal providers.

METHODS

Qualitative directed content analysis was completed on 4 open-ended questions inquiring about the facilitators and barriers to in-person and digital communication. The questions were part of a cross-sectional descriptive research study on respectful patient-provider communication and patient portal use in pregnant people of color. After completion of content analysis, frequency of categories was compared between groups based on age, gestational age, parity, insurance type and portal use.

RESULTS

The analysis of 375 responses from 130 pregnant people of color revealed both facilitators and barriers to quality communication in healthcare. Facilitators included two main categories: provider behaviors and the functionality of MyChart, the patient portal. The functionality of MyChart had three subcategories: the ability to send secure messages, ease of use, and portal notifications. Three categories were identified as barriers to quality communication: the quality of responses, dealing with multiple providers, and digital access and literacy. The quality of responses had two subcategories: slow response times and responses from staff other than the primary provider. Comparative analysis showed that pregnant people over the age of 35 and those with private insurance did not identify multiple providers as a barrier to quality communication. However, digital access and literacy were significant barriers for participants who did not use the patient portal, though it was less prominent among those less than 32 weeks gestation.

CONCLUSIONS

Study participants expressed a preference for prompt responses and direct digital communication with their prenatal providers. To ensure digital health equity in pregnancy, it's crucial for providers to set clear expectations regarding response times, identify who will be responding to messages, and assess patients' digital literacy and access.
Machine Learning on a Budget: An Artificial Intelligence Colon Polyp Model (Preprint)
Authors: Beyer David , Delancey Evan , McLeod Logan
Published: October 2024

BACKGROUND

Artificial Intelligence (AI) models are increasingly being developed to improve the efficiency of pathological diagnoses. Rapid technological advancements are leading to more widespread availability of AI models that can be utilized by domain-specific experts (i.e., pathologists, and medical imaging professionals). This study presents an innovative artificial intelligence model for the classification of colon polyps, developed using AutoML algorithms that are readily available from cloud-based machine learning platforms. Our aim was to explore if such AutoML algorithms could generate robust machine-learning models that are directly applicable to the field of digital pathology.

OBJECTIVE

The objective of this study was to evaluate the effectiveness of AutoML algorithms in generating robust machine-learning models for the classification of colon polyps, and to assess their potential applicability in digital pathology.

METHODS

Whole slide images (WSIs) from both public and institutional databases were used to develop a training set for three classifications of common entities found in colon polyps - hyperplastic polyps, tubular adenomas, and normal colon. The AI model was developed using an AutoML algorithm from Google’s VertexAI platform. A test subset of the data was withheld to assess model accuracy, sensitivity and specificity.

RESULTS

The AI model displayed a high accuracy rate, identifying tubular adenoma and hyperplastic polyps with 100% success and normal colon with 97% success. Sensitivity and specificity error rates were very low.

CONCLUSIONS

This study demonstrates how accessible autoML algorithms can readily be used in digital pathology to develop diagnostic AI models using WSIs. Such models could be used by pathologists to improve diagnostic efficiency.

CLINICALTRIAL

NA
Managing Cognitive Decline through Social Robot-Based Intervention: The Study Protocol of a European Randomized Controlled Trial (Preprint)
Authors: Amabili Giulio , Maranesi Elvira , Margaritini Arianna , Bonfigli Anna Rita , Felici Elisa , Barbarossa Federico , Benadduci Marco , Gosetto Laetitia , Guebey Julie , Grimstad Terje , Hellman Riitta , Marin Andrei Iulian , Boye Lars Thomas , Anghel Ionut Manuel , Cioara Tudor , Bevilacqua Roberta
Published: October 2024

UNSTRUCTURED

Every year in Europe the number of diagnoses of dementia increases significantly. Dementia is challenging the society in terms of quality of life, costs of healthcare systems and caregivers’ burden. Dementia is often preceded by a status of mild cognitive impairment (MCI), during which healthy lifestyle and cognitive therapy seem to be effective in counteracting the decline. The engAGE project aims to build a technological platform to counteract cognitive decline in people with MCI through both cognitive therapy and lifestyle management. The platform is built around the social robot Pepper, which provides cognitive therapy weekly at healthcare or daycare facilities. In addition to the social robot, a mobile app and an activity tracker are integrated within the platform to help older people with MCI to monitor their sleep and physical activity, other than offer cognitive games at home. All the data gathered from the three devices flow via-cloud into the platform to be analyzed by a machine learning (ML) algorithm aimed to predict the ongoing of cognitive decline. The proof of concept of the engAGE platform is a 6-months long randomized controlled trial (RCT) aimed to test the solution in three European countries: Italy, Switzerland, and Norway. The primary interest of the study is to assess the impact of the engAGE platform on cognitive capacity through quantitative and standardized scales. In addition, changes in social engagement and quality of life are measured. Then, the proof of concept also focuses on the acceptability and usability of the platform, evaluated through the SUS scale and the UTAUT questionnaire. The proof of concept, is an innovative study focused on the impact of a technological-based intervention designed for older people with MCI, that aims to tackle directly the cognitive decline through cognitive training, and indirectly through the improvement in terms of quality of life, social engagement, physical activity and sleep quality of primary end users.
Effectiveness of Digital Mental Health Interventions in the Workplace: Umbrella Review of Systematic Reviews (Preprint)
Authors: Cameron Gillian , Mulvenna Maurice , Ennis Edel , O'Neill Siobhan , Bond Raymond , Cameron David , Bunting Alex
Published: October 2024

BACKGROUND

There is potential for digital mental health interventions to provide affordable, efficient, and scalable support to individuals. Digital interventions, including cognitive behavioral therapy, stress management, and mindfulness programs, have shown promise when applied in workplace settings.

OBJECTIVE

The aim of this study is to conduct an umbrella review of systematic reviews in order to critically evaluate, synthesize, and summarize evidence of various digital mental health interventions available within a workplace setting.

METHODS

A systematic search was conducted to identify systematic reviews relating to digital interventions for the workplace, using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis). The review protocol was registered in the Open Science Framework. The following databases were searched: PubMed, Web of Science, MEDLINE, PsycINFO, and Cochrane Library. Data were extracted using a predefined extraction table. To assess the methodological quality of a study, the AMSTAR-2 tool was used to critically appraise systematic reviews of health care interventions.

RESULTS

The literature search resulted in 11,875 records, which was reduced to 14 full-text systematic literature reviews with the use of Covidence to remove duplicates and screen titles and abstracts. The 14 included reviews were published between 2014 and 2023, comprising 9 systematic reviews and 5 systematic reviews and meta-analyses. AMSTAR-2 was used to complete a quality assessment of the reviews, and the results were critically low for 7 literature reviews and low for the other 7 literature reviews. The most common types of digital intervention studied were cognitive behavioral therapy, mindfulness/meditation, and stress management followed by other self-help interventions. Effectiveness of digital interventions was found for many mental health symptoms and conditions in employee populations, such as stress, anxiety, depression, burnout, and psychological well-being. Factors such as type of technology, guidance, recruitment, tailoring, and demographics were found to impact effectiveness.

CONCLUSIONS

This umbrella review aimed to critically evaluate, synthesize, and summarize evidence of various digital mental health interventions available within a workplace setting. Despite the low quality of the reviews, best practice guidelines can be derived from factors that impact the effectiveness of digital interventions in the workplace.

CLINICALTRIAL

OSF Registries osf.io/rc6ds; https://doi.org/10.17605/OSF.IO/RC6DS
Correlación entre un WebECOE formativo y el rendimiento académico en estudiantes de medicina
Authors: Barboza Soria Saúl Alejandro , García Rivera Rocío Carolina , Trejo Mejía Juan Andrés , Martínez-González Adrián
Published: October 2024

Introducción: El examen clínico objetivo estructurado (ECOE) es el estándar de oro para la evaluación de la competencia clínica. Derivado de la pandemia causada por el SARS-CoV-2, aumentó la necesidad de un instrumento para evaluarla a distancia.
Objetivo: Correlacionar la competencia clínica evaluada con un WebECOE formativo, con el rendimiento académico de estudiantes que finalizan el segundo año de la licenciatura de medicina.
Método: Se realizó un estudio observacional, correlacional. La prueba se le aplicó a la población que finalizó el segundo año de la licenciatura de medicina. El muestreo fue censal, y se desarrolló un WebECOE de 8 estaciones con una escala global de evaluación que contempla cuatro niveles de desempeño. Se realizaron análisis psicométricos y se correlacionó el nivel de competencia clínica del WebECOE con el rendimiento académico mediante la rho de Spearman. La retroalimentación se realizó con un programa automatizado posterior a la prueba.
Resultados: 207 estudiantes cumplieron con los criterios de inclusión del estudio para el análisis. La media del puntaje del WebECOE fue de 74.5, con los siguientes resultados por atributo: interrogatorio (70.7), exploración física (74.4), interpretación de estudios de gabinete (54.2), diagnóstico (67.9), manejo (83.0), profesionalismo y comunicación (84.5), trabajo en equipo (81.2), e integración clínica (67.6). El alfa de Cronbach fue de 0.89. La rho de Spearman para la correlación del rendimiento académico con el puntaje del WebECOE fue de 0.25 (p < 0.001).
Conclusión: El WebECOE es un instrumento con suficientes evidencias de validez para evaluar dimensiones de la competencia clínica a distancia, y esta tiene una correlación positiva con el rendimiento académico de los estudiantes.
Macroalgas marinas bentónicas de ambientes insulares en la zona de transición biótica del Atlántico mexicano
Authors: Vilchis Martha Isabel , Ortegón-Aznar Ileana , Álvarez-Rocha Mariana , Tuz-Sulub Armin , Galindo-de Santiago María del Carmen , Simões Nuno , Pinzón Juan P. , Duran Alain
Published: October 2024

Los ambientes insulares de la zona de transición biótica del Atlántico mexicano son de los más diversos en cuanto a macroalgas se refiere, esto a pesar de que solo existe información florística para 2 de los 80 elementos insulares reportados para el área. En este trabajo se presenta, por primera vez, la diversidad taxonómica de 3 ambientes insulares de la zona. Se realizaron diversas recolectas de macroalgas marinas bentónicas en los arrecifes Bajos de Diez, Madagascar y Serpientes. Los especímenes recolectados fueron identificados morfológicamente con la finalidad de obtener la composición florística de cada arrecife y su riqueza específica. Se calculó la similitud entre la flora de los 3 arrecifes empleando un análisis de agrupamiento UPGMA bajo el índice de Jaccard. Se presenta un listado de 119 especies de macroalgas marinas bentónicas para los 3 arrecifes estudiados, de las cuales 9 constituyen nuevos registros para Yucatán. El arrecife con mayor diversidad taxonómica fue Bajos de Diez (78 spp.), seguido de Madagascar (53 spp.) y Serpientes (24 spp.). Bajos de Diez y Serpientes presentaron la mayor similitud florística entre sí. Exploraciones futuras de ambientes insulares desconocidos conducirán, con seguridad, al aumento de la diversidad florística en el área.
How relevant is the relationship between ostiole size and wasp head shape in the Ficus-Agaonidae mutualistic interaction?
Authors: Castro-Cárdenas Nadia , Navarrete-Segueda Armando , Ibarra-Manríquez Guillermo
Published: October 2024

The mutualism between Ficus species (Moraceae) and their pollinating wasps (Agaonidae) is a widely recognized coevolutionary model. In Ficus species from the Paleotropic, it has been determined that the ostiole acts as a morphological filter that affects the head dimensions of pollinating female wasps. Here, for the first time, the allometric relationship between ostiole size (diameter and length) and the shape of the head (length/width) of pollinating wasps is quantitatively explored in 6 Neotropical Ficus species (3 sect. Americanae and 3 sect. Pharmacosycea). In the case of sect. Americanae, wasp head shape was significantly correlated only with ostiole length, while in sect. Pharmacosycea both ostiole variables were correlated with head shape. The ordination analysis (NMDS) clearly reflected associations of these traits in species for both sections. The results support what has been interpreted in previous studies as reciprocal evolution between the analyzed traits, which contribute, along with other morphological and ecological traits, to the specificity between Ficus species and their pollinating wasps.
Updated checklist of the bopyrid isopods (Epicaridea: Bopyroidea) from Mexico
Authors: Martínez-Mayén Mario , Romero-Rodríguez Jesús
Published: October 2024

Based on an extensive bibliographic review, an updated checklist of epicaridean isopods belonging to Bopyroidea recorded from Mexico is provided. A total of 55 species distributed in 3 families, 10 subfamilies and 39 genera are listed. Of these, 8 species (14.5%) have been registered only in Mexico so far, 36 species (65.4%) are distributed along the Atlantic coast and 19 (34.5%) along the Pacific coast. The lower diversity of these parasites in the latter region could reveal insufficient sampling of potential hosts. Approximately 80% of the bopyrid species parasitize individuals belonging to the infraorders Caridea (27 species, 50%) and Anomura (17 species, 30.9%). Type-localities and updated data on their known geographic ranges along both Mexican coast and those of other regions are included for all the species.
Executive functioning in adults with attention deficit hyperactivity disorder: A systematic review
Authors: Rincón Carlos Francisco , Bernal Morales Lady , Tello Sandoval Sheylla
Published: October 2024

Introduction: Executive function deficits are associated with attention deficit hyperactivity disorder (ADHD) in both children and adults. The inattentive subtype is primary related to “cold” executive functions, while the hyperactive subtype is related to “warm” executive functions.
Objective: To systematically review studies on executive functioning in adults with attention deficit hyperactivity disorder published during the last decade.
Methodology: A documentary research was conducted, encompassing 33 articles retrieved from PubMed, Web of Science and EBSCO platforms. The analysis considered years and countries of publication, attention deficit hyperactivity disorder diagnostic criteria, participants, comorbidities, subtypes, medication use, assessment tools, and processes of executive functions evaluated.
Results: It was evidenced that there is a high percentage of adults with attention deficit hyperactivity disorder  who present a deficit or lower performance in executive function tests. However, the results varied depending on specific characteristics of the study and/or participants, which confirms the heterogeneity of the disorder. In addition, the main instruments for measuring executive functions and diagnostic criteria for adult attention deficit hyperactivity disorder were identified.
Discussion: These results support the established links between attention deficit hyperactivity disorder , impaired executive functions, and major life activities found in the adult attention deficit hyperactivity disorder  literature. However, some of the limitations were the poorly controlled variables such as comorbidities, attention deficit hyperactivity disorder  subtypes that were not assessed, and usage of instruments that measure executive functions that can lead to reduced credibility of the results presented here.
Conclusions: According to the results presented, there is a high percentage of adults with attention deficit hyperactivity disorder who present a deficit or lower performance in executive function tests, compared to both neurotypical adults and those with other psychiatric disorders. Further research is recommended to continue studies on the topic and to include other variables.
Age distribution of patients with multiple High-Risk Human Papilloma Virus (HR-HPV) genotypes and HPV vaccine recommendations by age
Authors: Çetin Uysal Gülçin , Tekin Nil
Published: October 2024

Introduction: The aim of this study to identify the age distribution of patients with multiple high risk Human Papilloma Virus (HR-HPV) genotypes and to evaluate HPV vaccination programs through age distribution.
Methods: Patients between the ages of 20-70, who had cervical screening (cervical smear) and HPV genotype tests between January 2017 and December 2021 in Gynecology and Obstetrics Department in Tınaztepe University Hospital, were included in this study. HR-HPV genotype tests and age information which were performed evaluated retrospectively.
Results: The study consisted of 66 patients analysis with multiple HR-HPV genotypes. The median age of the patients with multiple HR- HPV was found to be 32.6 years old. The most frequent combination of multiple HR-HPV was found two sub-types of HR-HPV (66.7%), median age was found as 36.6 years old. In this study the frequency for three sub-types of HR-HPV was found 24.2% and median age for this group was found to be 34.7
years old. We found frequency in patients with four or more sub-types of HR-HPV as 9.1%, and the median age for this group as 33.1 years old was found.
Conclusion: The most common cause of cervical cancer is HPV infection. Multiple HR-HPV infection progression may promote high risk cervical lesions and neoplasia. HPV genotype testing results considering combination of subtypes may direct individual treatment, follow-up protocols for patients. HPV vaccination research may comprise multiple HR-HPV subtypes relations and age distribution for optimal immunization.
FATORES QUE INFLUENCIAM O SURGIMENTO DA POPULAÇÃO EM SITUAÇÃO DE RUA (PSR) EM PAU DOS FERROS NO RIO GRANDE DO NORTE (RN)
Authors: Barros Andressa de Sousa , De Souza Ronie Cleber , Bezerra Sara Taciana Firmino
Published: October 2024

A População em Situação de Rua (PSR) é um público que vem cada dia mais aumentando, principalmente em grandes centros urbanos e comerciais O interesse em pesquisar essa temática, é decorrente da observação do aumento desse público, ainda que nas cidades pequenas, e ainda haver poucas pesquisas sobre esse tema, e se tratando de Pau dos Ferros a discussão sobre torna-se limitada devido a ausência de estudos, aguçando a necessidade de estudar a problemática. Objetiva-se, portanto, conhecer e identificar os fatores regionais, de acordo com a literatura, que influenciam no aparecimento do fenômeno da PSR em Pau dos Ferros, uma cidade localizada no interior do Rio Grande do Norte. Quanto à metodologia trata-se de um artigo de revisão de literatura, onde foi realizado a leitura de livros, e artigos científicos, encontrados nas principais bases de dados como Scielo, Biblioteca Nacional da Saúde, e na plataforma Sucupira, usando os descritores “população em situação de rua”, “moradores de rua” e “território”. Existem vários fatores que a literatura aborda que podem influenciar no aparecimento da PSR em Pau dos Ferros, dentre eles suas características de cidade intermédia, que apresenta influência nas cidades vizinhas devido a sua característica comercial e oferta de serviços públicos e privados. Fica evidente a partir dos estudos explorados, que existem vários fatores que influenciam no aparecimento da PSR no município de Pau dos Ferros, dentre eles fatores econômicos, climáticos e sociais, que favorecem a forma de viver dessa população vulnerável.
Improving employee job satisfaction: The case of commercial banks strategy
Authors: Nguyen Ha Hong
Published: October 2024

The objective is to find out the factors that affect the job satisfaction of employees at commercial banks in the Mekong Delta by collecting preliminary data from 260 employees at six commercial banks in the Mekong Delta: Joint Stock Commercial Bank for Foreign Trade of Vietnam (Vietcombank), Vietnam Joint Stock Commercial Bank for Industry and Trade (Vietinbank), Joint Stock Commercial Bank for Investment and Development of Vietnam (BIDV), Asia Commercial Joint Stock Bank (ACB), Saigon Thuong Tin Commercial Joint Stock Bank (Sacombank) and Vietnam Bank for Agriculture and Rural Development (Agribank) according to the random sampling method. The authors inherited the research of Smith et al. (1969), Luddy (2005) and Kim Dung (2005) at the same time, applying multivariate regression models for this study. Research results have found five factors that affect job satisfaction: working conditions, salary and benefits, leadership concerns, relationships with colleagues and training and advancement opportunities. From the research results, the authors have proposed solutions to further improve the job satisfaction of employees at commercial banks in the Mekong Delta, thereby contributing to improving the business efficiency of the Mekong Delta commercial bank system in the coming time.
Strategic talent management: Enhancing corporate performance and governance
Authors: Cania Luftim , Prendi Llambi
Published: October 2024

This research aims to investigate the connection between talent management practices and job satisfaction among skilled employees in corporate settings in Tirana and Durrës, Albania. It is based on the author’s previous research (Cania, 2016). The methodology used a multiple regression model, verified earlier by factor analyses, reliability analyses, and multicollinearity. The research focused on five critical aspects of talent management: performance and engagement, collaboration and communication, impact on business results, initiative beyond defined roles, and broader influence on the company. The study emphasizes the importance of effective talent management in improving employee satisfaction and organizational performance. It offers a methodological framework for companies and policymakers to develop strategies that promote a positive work environment and drive economic growth. Moreover, the study’s findings can be directly utilized to enhance company talent management practices, thereby improving employee satisfaction, organizational performance, and policymakers to enhance their talent management strategies. Additionally, the study suggests potential future research directions, such as examining sector-specific impacts and the role of government policies in optimizing talent management practices, to enrich further our understanding of this crucial area and its practical application in the real world, stimulating curiosity and interest in the ongoing advancement of the field.
Localización de fallas de baja impedancia en sistemas de distribución de energía eléctrica, a partir del fundamental de tensión y corriente
Authors: Mora Flórez Juan José , Pérez Londoño Sandra Milena
Published: October 2024

Este documento es resultado del proyecto 0977-2012, titulado “Desarrollo de localizadores robustos de fallas paralelas de baja impedancia para sistemas de distribución de energía eléctrica”, financiado por el Departamento Administrativo de Ciencia, Tecnología e Innovación – Colciencias, al grupo Investigación en Calidad de Energía Eléctrica y Estabilidad – ICE3, de la Universidad Tecnológica de Pereira. La finalidad de este libro es presentar la conceptualización y la aplicación de algunos de los métodos que muestran mejor desempeño para localización de fallas de baja impedancia, que utilizan como entrada las señales de tensión y de corriente a la frecuencia fundamental, para los sistemas de distribución de energía eléctrica. Como contenido, este documento se divide en cuatro capítulos, las conclusiones y algunas recomendaciones asociadas con las pruebas y resultados. El primer capítulo está orientado a la conceptualización básica del tema a partir del concepto de continuidad del suministro de energía eléctrica. También se considera en este capítulo, las aproximaciones generales sobre las que se fundamentan los métodos de localización de fallas para sistemas de distribución. En el capítulo dos, se presentan la nomenclatura y las definiciones utilizadas; luego se presentan los métodos que estiman la impedancia desde el punto de medida, a partir de los valores eficaces de pre-falla y falla del componente fundamental de tensión y corriente y los parámetros de la línea, denominados como Métodos Basados en el Modelo (MBM). Posteriormente, se presenta el estado del arte de los métodos más relevantes por su exactitud y actualidad y luego ser realiza un análisis comparativo. Finalmente se presentan las conclusiones del capítulo. En el capítulo tres, se presenta uno de los métodos que utilizan la teoría del aprendizaje de máquina para relacionar las señales de tensión y corriente como entradas, con una salida que corresponde a la localización de la falla. La técnica que se presenta se conoce como las Máquinas de Soporte Vectorial (del inglés SVM), y se utiliza en este libro debido a los buenos resultados que se han obtenido en el proyecto de investigación. El capítulo cuatro está orientado a la presentación de los resultados de las pruebas de localización y el análisis de los resultados de tres MBM diferentes cuyos fundamentos fueron descritos en el capítulo dos. También se presentan las pruebas de la SVM como base del método de localización MBC. En la parte final del capítulo se presentan algunas conclusiones relacionadas con los resultados obtenidos.
The 3D Dynamics of a Wildfire Plume Contained Within the Planetary Boundary Layer Using an Airborne Doppler Lidar
Authors: Strobach Edward , Baidar Sunil , Carroll Brian J. , Brewer Alan
Published: October 2024

As wildfire pervasiveness increases with a changing climate, there is a
need to develop new techniques with emerging technologies to understand
the interaction between wildfires and the surrounding atmosphere at a
high spatiotemporal resolution. The Fire Influence on Regional to Global
Environments and Air Quality (FIREX-AQ) experiment conducted in 2019
focused on wildfires using several measurement platforms aboard
aircraft. In this study, we interpret wind measurements across a
boundary layer (BL) trapped smoke plume from an airborne Doppler lidar
(DL). Flight transects parallel and perpendicular to the orientation of
the plume enabled the characterization of key features such as a
fire-induced spanwise vortex, large downdrafts that modified the smoke
plume, and the evolving velocity structure at different distances
downwind of the fire-induced convergence zone (FICZ) at an unprecedented
horizontal and vertical resolution of 10s of meters.
CONSUMER BEHAVIOUR ON THE WINE MARKET IN NITRA REGION
Authors: Kleinová Katarína , Nagyová Ľudmila , Waldnerová Petra
Published: October 2024

Today, no businesses can afford to ignore marketing, because it plays a very important role in every company. Last years entrepreneurs have started to feel the need of promotion their products and activities. Competition is high not just from abroad, but also in our country. In wine field customers can choose from many products and wine producers should try hard to survive. Using marketing tools is in this field as need as in any other businesses and without them there is not a big chance to be successful. Marketing tool is a mean of communication with a customer and a customer plays the most important role. Using the right marketing tools can make your brand special – different from the others. Doing marketing research helps companies to know their target group - customers that really buy or want to buy their products. Asking the right question in marketing research can help them to use the right marketing tools. In many cases it means to spend marketing budget the way that will truly communicate with their target group. Then there is just a short way to be successful – in our case in wine field.
Zarządzanie tożsamością marek w przedsiębiorstwach sektora żywnościowego
Authors: Górska-Warsewicz Hanna
Published: October 2024

Zmienne warunki otoczenia rynkowego wymuszają konieczność odpowiednich decyzji w zakresie zarządzania tożsamością marek. Tożsamość marek definiowana jest jako wizja i sposób postrzegania marki przez konsumenta. Celem niniejszego opracowania było przedstawienie obligatoryjnych i fakultatywnych obszarów zarządzania tożsamością marek w przedsiębiorstwach sektora żywnościowego z uwzględnieniem szczegółowych płaszczyzn decyzyjnych. Zakresem pracy objęto zarządzanie architekturą marek, zarządzanie ich identyfikatorami, strategie rozwoju produktów i marek i/lub rozszerzenia marek, pozyskiwanie i alianse marek oraz ich wzbogacanie elementami niematerialnymi i symbolicznymi.
On some extended energy of graphs and their applications
Authors: Sarkar Prosanta , Dey Arindam , Kumar Shiv , Pal Anita
Published: October 2024

In this paper, we established a relation between the extended energy of graphs such as the first and second Zagreb energy, Randic energy, reciprocal Randic energy, and the atom-bond connectivity energy with some thermodynamic properties of benzenoid hydrocarbons. We have seen that these indices are well correlated to the boiling point (BP), Kovats retention index (RI), entropy (S), enthalpy of formation (?Hf ), octanol-water partition coefficient (logP), and acentric factor (?) of benzenoid hydrocarbons.
Photodiode-based focus monitoring in ultrashort-pulsed laser structuring of graphite anodes for lithium-ion batteries
Authors: Garkusha Pawel , Kasper Benjamin , Geiger Christian , Bernauer Christian , Wach Lovis , Kick Michael , Zaeh Michael F.
Published: October 2024

In recent years, there has been an increased demand for elaborate monitoring techniques in laser material processing. This has been driven by the need for fast and cost-efficient quality assurance processes. At the same time, ultrashort-pulsed (USP) laser radiation has emerged as a promising technology for creating intricate microstructures in lithium-ion battery graphite anodes due to its high precision and negligible thermal impact. However, the integration of process monitoring in USP laser applications for graphite anode structuring is still unexplored. There is a lack of clarity on suitable sensors, observable parameters, and extractable process-relevant insights. The presented study addressed this gap by demonstrating the capability of state-of-the-art photodiode-based monitoring systems in collecting process-relevant data and deriving valuable insights. A sensor equipped with three photodiodes was employed to address these challenges. Exploratory data analysis and machine learning methodologies were leveraged to develop a data pipeline for processing the acquired information. The data were used to train convolutional neural networks that could accurately predict the focal position. At the same time, the limitations of traditional regression approaches could be shown. The findings advanced the understanding of the possibilities of process monitoring in USP laser applications and emphasized the significance of data-driven approaches in optimizing manufacturing processes.
Source-Based Writing: Students’ Approaches and Critical Aspects of Learning
Authors: Hellman Josefin
Published: October 2024

This study explores upper-secondary school students’ source-based writing skills and what teachers can focus on to improve these skills. The students who participated were enrolled in university preparatory programmes at a Swedish municipal upper-secondary school. The results are based on 73 texts written by students in the subject Swedish (first-language education) and 11 interviews based on the students’ texts. Before the interviews, I went through the students’ texts and prepared questions about their use of sources. I use phenomenography to describe four different ways of using sources and variation theory to identify four critical aspects of learning this skill. To use sources in the most developed way, students need to be able to discern that: (1) acknowledging sources varies with literacy practice; (2) ideas from sources support arguments in own writing; (3) own ideas are separate from those of others; and (4) sources are compared and evaluated throughout the writing process. These critical aspects can be used to plan the teaching of source-based writing for upper-secondary school students.
The Use of Digital Educational Games as Learning Media: A Study on Elementary School Teachers
Authors: I Putu Andika Satyana Putra  , Made Vina Arie Paramita
Published: October 2024

Educational games are one of the learning media that can help the student learning process, especially in the digital era as it is today. This study analyzes elementary school teachers' use of digital educational games as learning media. This research is descriptive research with a survey method. The population in this study is 4315 elementary school teachers. Sampling was carried out using cluster sampling and random sampling techniques so that the number of samples in this study was 98 teachers. The research data were collected using a questionnaire, which was then analyzed descriptively. Based on the research that has been done, the results show that school teachers use digital educational games quite often as learning media: 52 teachers (53.06%) of a total of 98 samples are in the sufficient category. The most widely used digital educational game application is Quizziz. The main reason for using digital educational games is that digital educational games can improve students' cognitive abilities. The main advantage of using educational games as a learning medium is making the learning process more efficient. The main obstacles experienced were related to the internet, which did not support it, and digital educational game applications, which often experienced errors. Hence, they had to start over from the beginning. It was concluded that elementary school teachers often used digital educational games as learning media.
The Value Clarification Technique Learning Model Improves the Character of Elementary School Students
Authors: Berliana Nur Hidayati  , Minsih
Published: October 2024

Parents and teachers are facing a decline in the character of several Indonesian children at the elementary school level. In response to this, character education must be encouraged. In the school environment, character education can be taught, one of which is through learning civics education (PKN), with the hope that students can behave appropriately by all the precepts of Pancasila. This study aims to analyze the VCT (Value Clarification Technique) model for improving good character in students after learning PKN. This study uses a quantitative method with pre-test and post-test approaches presented with descriptive analysis. The research design used is Quasi-Experiment: One-Group Pretest-Posttest Design. The subjects of this study were 38 students. Methods of data collection with tests. Data collection instrument with test questions. Data analysis techniques have three stages: data reduction, data presentation, conclusion, and data validation. The research results show an increase of 45% in the excellent character of students who comply with the five Pancasila precepts. VCT can be a learning model considered effective in improving and enhancing student character.
Improving Students’ Science Problem Solving Ability through the Implementation of Problem Based Learning Models Assisted by Animation Media
Authors: Salim Faisal , Purwanto Agung , Lestari Ika
Published: October 2024

The low ability of students to solve science problems is caused by the lack of effectiveness in the use of learning models and media. This study aims to analyze the effect of problem-based learning models assisted by animation media on the ability to solve science problems for grade IV elementary school students. The research method used was an experiment using a posttest-only control design. The samples taken using the simple cluster random sampling technique amounted to 30 students in the experimental group and 30 students in the control group. Data analysis techniques used includes descriptive statistics and inferential statistics by testing hypotheses using t-tests. The results showed that the average score in the experimental group was 82.4, while in the control group was 59.1. The results of the hypothesis test showed that the value of Sig. (2-tailed) was 0.000 < 0.05 or less than (α=0.05), indicating a significant difference in science problem-solving ability between students in the experimental group and the control group. Based on the results of the study, it can be concluded that the problem-based learning model assisted by animation media has a significant influence on the science problem-solving ability of grade IV elementary school students. With the results of this research, it is hoped that teachers can integrate problem-based learning models and animation media in the learning process to improve students' science problem-solving abilities in elementary schools.
Augmented Reality Flipbook as a Guide to Determining the Main Idea of Paragraphs in Indonesian Language Learning
Authors: Ekasafitri Melly , Sismulyasih SB Nugraheti , Purwati Panca Dewi
Published: October 2024

In the learning process, students still have difficulty in understanding the material well. In its implementation, the teacher uses conventional teaching materials, less varied and not yet digital-based by actively involving students. The purpose of this study was to develop and test the effectiveness of augmented reality-based flipbooks on the main idea of paragraphs of Indonesian language learning content in grade V elementary school. The type of research is the Research & Development (R&D). The subjects of this study were teachers, 1 media expert, 1 material expert, and fifth-grade students, namely 6 initial trial students and 13 usage trial students. The data collection methods used include observation, interviews, questionnaires, and tests. Data analysis techniques used include qualitative data analysis, quantitative data analysis, normality test, N-Gain, and inferential statistical analysis (t-test). The results of the study are the feasibility test by media experts obtained a percentage of 92% (very feasible), material experts are 91.25% (very feasible), student and teacher response trials obtained a percentage of 95.31%, and 92.5% (very feasible). The results of the t-test (paired t-test) obtained differences in results between before (pretest) and after (posttest) grade V students using augmented reality-based flipbooks. N-Gain test results 0.61 (medium). It is concluded that the augmented reality-based flipbook is very feasible and effective to use in learning. This research implies that augmented reality-based flipbooks can facilitate students' understanding of learning materials so that they can improve students' cognitive abilities in determining the main idea of paragraphs in Indonesian language learning.
1stFlip Flipbook Creator-Assisted E-Module to Advance Learning Quality in Elementary Schools
Authors: Maulidya Syifa Andriana , Zulherman
Published: October 2024

The current emphasis is on enhancing fourth graders' IPAS learning through the use of engaging learning materials, as there has been little innovation in this area. Using cutting-edge interactive media, this study intends to develop an E-module using 1stflip Flipbook in order to raise students' engagement, performance, and the overall quality of their education. The R&D approach, namely the ADDIE model, is utilized for the research. Experts in media, materials, and languages validated the research instruments. Validators filled out questionnaires, and students took pretests and post-tests; data was gathered through interviews and observations. The data was analyzed using quantitative and descriptive methods. The results of the validation showed that the E-module was valid at 78.3%, with an N-Gain value of 63.16% for the experimental class and 29.39% for the control class. The results of the hypothesis test demonstrated that the group of students who used the E-module significantly outperformed the control group in terms of their metacognitive skill improvement. There is significant value in enhancing the quality of learning through the usage of E-Modules with 1stflip Flipbook to enhance IPAS learning in primary schools.
Dekonstruksi Identitas Androgini sebagai Akumulasi Kapital Mikro Selebriti Tik Tok
Authors: Rhizky Deani Prionazvi , Asrita Stara
Published: October 2024

Androgini adalah gaya busana yang tidak hanya menjadi identitas namun dapat dimanfaatkan untuk kepentingan kapital. Penelitian ini bertujuan untuk mengetahui bagaimana dekonstruksi androgini yang ditampilkan mikro selebriti Tik Tok yaitu Ale dan Yumi dalam menciptakan akumulasi keuntungan. Metode yang digunakan adalah dengan pendekatan dekonstruksi Paula Saukko untuk melihat makna baru dari androgini. Teori modal kapital Pierre Bourdieu yaitu modal ekonomi, modal sosial, modal budaya dan modal simbolik digunakan untuk menganalisis relasi kuasa yang dibentuk mikro selebriti Tik Tok tersebut untuk mendapatkan keuntungan. Data yang diperoleh melalui analisis wacana Norman Fairclough dengan tiga dimensi yaitu teks, nilai relasional dan nilai ekspresif. Hasil yang didapatkan bahwa Ale dan Yumi merepresentasikan androgini secara lebih cair karena mereka memiliki modal budaya yaitu pengetahuan fashion, modal sosial berupa endorsement, modal simbolik yaitu pemberian julukan sebagai fashion influencer dan modal ekonomi yaitu pendapatan dari unggahan konten Tik Tok atau pekerjaan di dunia fashion lain.