bluuebunny/crossref_metadata_2025 huggingface dataset:
Spor Bilimlerinde Güncel Çalışmalar lV
Authors: Gülmez Ozan Deniz , Uyar Aleyna , Demirkan Nart , Sezgin Çakır Senem , Kılcı Abdullah , Seçer Emrah , Gezer Hatice , Koyunlu Ahmet , Eskiyecek Canan Gülbin , Koyun Abdurrrahman
Published: January 2025

Tenis Sporcularında Çeviklik ve Çabukluk
Ozan Deniz GÜLMEZ
Ahmet GÖNENER
Aleyna UYAR
Nart DEMİRKAN
Antrenörlerde Meslek Etiği
Senem SEZGİN ÇAKIR
Futbolda Göreceli Yaş Etkileri ve Çözüm Yöntemleri
Abdullah KILCI
Sporda Psikolojik Dayanıklılık Kavramı Üzerine Yapılan Çalışmaların Vosviewer ile
Bibliyometrik Analiz
Emrah SEÇER
Halk Oyunları ve Sosyal Gelişim
Hatice GEZER
Narsisizm ve Spor
Hatice GEZER
Başarılı Yaşlanmada Fiziksel Aktivitenin
Yeri ve Önemi
Ahmet KOYUNLU
Futbolda Dar Alan Oyunlarının Fiziksel ve Fizyolojik Bileşenleri
Canan Gülbin ESKİYECEK
Abdurrrahman KOYUN
Simeón: Red Neuronal Artificial para Analizar el Ausentismo Laboral de los Trabajadores de un Sistema Educativo Estatal
Authors: Saucedo Martínez Netzahualcóyotl , Chávez Larios Jorge Alejandro , Núñez Sánchez Esteban , Castrejón Cerro Hugo Gerardo , Pérez Barragán Acacia
Published: January 2025

Este estudio se enfocó en diseñar una Red Neuronal Artificial (RNA) que permita establecer una metodología para el cálculo del presupuesto que por el pago de suplencias eroga año con año el Gobierno de un estado de la República Mexicana, esta investigación se enmarcó en Línea de Generación y Aplicación del Conocimiento (LGAC) denominada Gestión Educativa del Instituto Superior de Educación Normal del Estado de Colima “Profr. Gregorio Torres Quintero” ya que se busca publicar estudios sobre los procesos de la vida cotidiana en las escuelas y los sistemas y políticas educativas, para identificar rasgos, características y aspectos que obstaculizan o favorecen mejores resultados, de igual manera, se trabajó de manera colaborativa con docentes del Tecnológico Nacional de México quienes coadyuvaron en el análisis de la información para el diseño de la red. Los objetivos planteados fueron que la RNA pueda determinar con un 95% de efectividad el nivel educativo en dónde se requiere de mayor presupuesto para el pago de suplencias y establecer la correlación entre el ausentismo laboral y el nivel de logro académico de los alumnos pertenecientes a las escuelas de educación básica del sistema educativo estatal. Lo anterior aprovechando la información recabada a lo largo de 19 años por un módulo de electrónico mediante el cual se capturan las incidencias del personal, para determinar el tamaño de la muestra se decidió que solo aquellos registros en los cuales la escuela perteneciera al nivel de educación básica (Preescolar, Primaria y Secundaria) serían tomados en cuenta, de igual manera, se dejaron de lado aquellas incidencias que no son susceptibles de sustituir ya sea debido a cuestiones normativas o aquellas que no representan un gasto extra en el presupuesto. Entre los resultados más sobresalientes fueron las ventajas que presentan las redes neuronales artificiales con las estadísticas destacan el excelente rendimiento que presentan las primeras ante problemas no lineales o información con mucho ruido y que Simeón puede inferir, con base en la información proporcionada, cuáles serán las enfermedades que más se presenten a lo largo del ejercicio fiscal y quiénes son los más susceptibles a presentarlas.
Apoyo Familiar y su Influencia en la Atención a Personas Adultas Mayores del Cantón Yantzaza
Authors: Puglla Coral Rubén Darío
Published: January 2025

Si bien, el envejecimiento es una realidad propia de la naturaleza humana, lo cierto es que unas personas necesitan más cuidados que otras, debido a ciertas condiciones particulares. Por ende, el objetivo de este trabajo fue determinar la situación actual del apoyo familiar en la atención a los adultos mayores, pertenecientes al proyecto del gobierno autónomo descentralizado municipal del cantón Yantzaza. Se realizó una investigación no experimental, basada en el paradigma sociocrítico, con un enfoque mixto, descriptivo y transversal. La población de estudio estuvo conformada por 23 familias y 30 adultos mayores, utilizando el Cuestionario MOS de Apoyo Social Percibido, permitió evaluar 4 dimensiones: emocional, material, relaciones sociales y afectivo. Para el análisis cualitativo, se realizó la conformación de un grupo focal, el cual incluyó 5 familiares, 5 adultos mayores y el trabajador social. Para el análisis de los resultados, se realizó la triangulación de criterios. Los resultados indicaron que las redes de apoyo mejor percibidas fueron la familia y las instituciones públicas y, las dimensiones de apoyo de mayor nivel fueron las relaciones sociales, así como el apoyo material. Es trascendental que los profesionales del área de trabajo social concienticen a las familias sobre la importancia de la atención y cuidado que deben brindar a los adultos mayores.
Tik Tok como Herramienta para Fortalecer el Proceso de Enseñanza-Aprendizaje de Ciencias Sociales en el Grado 8 del Colegio el Rosario de San Gil-Santander
Authors: Ruiz Johanna Milena , Ferney Chaparro William
Published: January 2025

La enseñanza de las Ciencias Sociales en la educación básica y media se ha establecido como propósito fundamental de la formación de una ciudadanía responsable y crítica; en este sentido, las Ciencias Sociales enfrentan en la actualidad el desafío de incorporar nuevas dimensiones de la vida de los seres humanos basada en una pedagogía asertiva y dinámica por parte de los profesores que impacten en la educación de sus estudiantes. En esta perspectiva, el presente estudio tiene como objetivo fortalecer el proceso de enseñanza-aprendizaje a través del uso de la plataforma Tik Tok en el área de Ciencias Sociales en los estudiantes del grado 8 del colegio El Rosario de San Gil-Santander. Su proceso metodológico fue basado en el enfoque mixto, con un alcance descriptivo, con una muestra de 22 estudiantes del colegio el Rosario y 4 educadores. Como resultados se pudo evidenciar que los estudiantes y profesores mantienen una postura positiva en la transformación de la enseñanza y el aprendizaje, esto debido a la necesidad de ir innovando en estos procesos. La propuesta pedagógica se estableció basada en la sistematización de la información, es decir, con elementos que permitan trazar un recorrido claro y sencillo para elaborar contenido digital a partir de concepciones teóricas de los temas de la primera guerra mundial y la Revolución rusa, asimismo, la implementación generó impacto positivo en todos los participantes, construyendo espacios motivacionales. Finalmente, se conoció la verificación de la estrategia pedagógica, donde todos los educandos manifiestan que Tik Tok es recomendada para la enseñanza y el aprendizaje con respecto al abordaje de los contenidos temáticos orientados por sus profesores.
El impacto de la Automatización en la Gestión de citas en el Entorno Universitario: Un Enfoque Proyectivo hacia la Sostenibilidad y Expansión de Servicios
Authors: Buñay Paguay Valeria Estefanía , Quezada Iñiguez Alejandra Lissette , Chang Castro Enrique David
Published: January 2025

Este artículo describe el proceso de investigación de tipo proyectiva con el diseño y desarrollo de una plataforma de micro sitios orientada a optimar la gestión de citas y contactos en los consultorios del Vicerrectorado de Vinculación de la Universidad Estatal de Milagro Su desarrollo fue producto de la creciente demanda de usuarios, para lo cual se propuso implementar módulos con el fin de gestionar y agendar citas al personal interno de la Universidad objeto de estudio. Sin embargo, este enfoque fue más allá de poder dar servicios a la comunidad universitaria residentes del Cantón Milagro. El fundamento teórico utilizado fue de (Kevin Carvajal & Christian Solano, 2020), (Jacqueline Hurtado De Barrera, 2024), entre otros investigadores. La metodología fue de tipo proyectiva, se desarrolló una plataforma que mejoró significativamente la experiencia del usuario, la eficiencia operativa y la accesibilidad. Como hallazgos se evidenció la necesidad de una solución eficiente del uso de un agendamiento manual. Los resultados de la fase piloto fueron evaluados mediante la técnica de la encuesta y como instrumento un cuestionario mediante la herramienta de Google Forms. Como producto del análisis de los datos, generó sugerencias para futuras expansiones del sitio. Este estudio destacó la importancia de integrar tecnologías innovadoras en la gestión universitaria para atender las necesidades de una población diversa y en constante crecimiento.
Work absenteeism and its impact on productivity in the administrative area
Authors: Acosta Betty
Published: January 2025

The article examines in detail how absenteeism affects the administrative area of ​​an organization. To address this issue, a literature review was conducted, incorporating previous studies and case analyses. The findings consistently reveal that absenteeism generates adverse consequences on the efficiency of administrative operations, with potential repercussions on job quality and customer satisfaction. Furthermore, contributing factors to absenteeism were identified, such as workplace climate, compensation, and interpersonal relationships, which are crucial in the work environment, as tensions and conflicts can arise due to absenteeism. This analysis provides a deeper understanding of the mechanisms underlying absenteeism in the administrative area. Based on these results, strategies to mitigate absenteeism and enhance productivity in the administrative sphere are explored. Approaches focused on promoting a positive work climate, equitable salary reviews, and the implementation of programs that foster healthy interpersonal relationships are discussed. These strategies aim to reduce absenteeism, strengthen the resilience and commitment of administrative staff.
The Impact of Village Government Size, Wealth, and Intergovernmental Revenue on Village Financial Performance in Krian District, Sidoarjo, East Java
Authors: Imamah Nurul , Iradawaty Sofiah Nur , Rahman Arief , Fauziah Dien Ajeng , Siswati Endang
Published: January 2025

This study aims to analyze the impact of village government size, wealth, and intergovernmental revenue on village financial performance. The research method used is descriptive quantitative. The population in this study included all villages in the Krian sub-district, and sampling was determined by purposive sampling method with a total observation sample of 30 villages. The data analysis method uses Multiple Linear Regression techniques. The study found that village financial performance is positively and significantly influenced by size and wealth, but not by intergovernmental revenue. However, when considering all three factors together, size, wealth, and intergovernmental revenue have a significant impact on village financial performance. Village government financial performance refers to the ability of the village to explore, manage, and utilize its financial resources to support the government system, community services, and village development, without full dependence on the central government. The implications of this research are to support the performance of a healthy village government. The originality of this research is in health and intergovenmental revenue.
Analysis The Determinants Affecting Banking Performance
Authors: Karnasi Reniati , Elgi Afrizal
Published: January 2025

The research aims to test the effect of bank-specific and macroeconomic factors on bank performance in Indonesia. The research uses hypothetical testing to examine the determinants affecting bank performance. This study uses panel data regression to analyze the data. The samples are determined by purposive sampling method used 34 commercial banks listed on Bursa Efek Indonesia (BEI) with 238 unit-observed during the period 2017 to 2023. The results show bank size, bank capital, liquidity, and inflation rate have a positive effect on net interest margin. Furthermore, this study can be used as a reference for investors and banking management.
Influence of Profitability, Leverage and Company Growth on Dividend Policy (Study on Main Board and Development Board Index Companies Listed on the Indonesian Stock Exchange for the 2018-2022 Period)
Authors: Made Ari Dwipayani Ni , Gde Wahyu Purna Anggara I Wayan
Published: January 2025

Dividend policy is a decision regarding the profit earned by the company which is distributed to shareholders as dividends or retained in the form of profit for future investment payments. This study aims to empirically analyze the effect of profitability, leverage, and company growth on dividend policy. The population of this research is the main board index companies and development boards listed on the Indonesia Stock Exchange for the 2018-2022 period. The sample selection used purposive sampling technique so that a sample of 30 companies. The data analysis technique used in the study was multiple linear regression test. The results of this study indicate that profitability has a positive effect on dividend policy, leverage has a positive effect on dividend policy, and company growth has a negative effect on dividend policy.
Evaluation of heavy metal pollution in groundwater resources of Konaro area, Iranshahr, SE Iran: implication for ophiolitic rocks impact
Authors: Barahouei Baseer Ahmad , Noura Mohammad Reza , Moslempour Mohammad Elyas , Dabiri Rahim
Published: January 2025

This study, it has been attempted to investigate the heavy metals pollution in groundwater resources of Konaro area. Accordingly, eight representative groundwater samples from wells and qanat were collected in December 2017 from rural settlements commonly used for irrigation and drinking. Analysis of lead, zinc, iron, chromium, copper and nickel as heavy metals was conducted by the ICP-MS approach. The results of analyzes indicate that the concentration of heavy metals in the groundwater of the study area is lower than the permissible limit. Results of HEI, HPI, and Cd contamination indices show that 62.5% of samples in the Konaro area fall into the medium pollution group, and the rest of the samples fall into the low pollution group due to their heavy metals content. Studies show that all samples of groundwater in the Konaro area have low to moderate contamination and that the overall contamination rate is not dangerous. Correlations between heavy metals indicators demonstrate that HPI is strongly correlated with HEI and Cd also HEI with Cd. Therefore, it is evident that all of the indices are important and reliable to study the risk of heavy metals pollution in the Konaro ophiolitic area. Pollution evaluation indices and statistical analysis confirm that the low to medium level of heavy metals in Konaro groundwater samples is owing to the lack of acidity, poor agriculture and poor urbanization around the river and thus the lack of contamination of the aquifer.
Analysis of Polarized Dust Emission Using Data from the First Flight of SPIDER
Authors: Ade P. A. R. , Amiri M. , Benton S. J. , Bergman A. S. , Bihary R. , Bock J. J. , Bond J. R. , Bonetti J. A. , Bryan S. A. , Chiang H. C. , Contaldi C. R. , Doré O. , Duivenvoorden A. J. , Eriksen H. K. , Filippini J. P. , Fraisse A. A. , Freese K. , Galloway M. , Gambrel A. E. , Gandilo N. N. , Ganga K. , Gourapura S. , Gualtieri R. , Gudmundsson J. E. , Halpern M. , Hartley J. , Hasselfield M. , Hilton G. , Holmes W. , Hristov V. V. , Huang Z. , Irwin K. D. , Jones W. C. , Karakci A. , Kuo C. L. , Kermish Z. D. , Leung J. S.-Y. , Li S. , Mak D. S. Y. , Mason P. V. , Megerian K. , Moncelsi L. , Morford T. A. , Nagy J. M. , Netterfield C. B. , Nolta M. , O’Brient R. , Osherson B. , Padilla I. L. , Racine B. , Rahlin A. S. , Reintsema C. , Ruhl J. E. , Runyan M. C. , Ruud T. M. , Shariff J. A. , Shaw E. C. , Shiu C. , Soler J. D. , Song X. , Trangsrud A. , Tucker C. , Tucker R. S. , Turner A. D. , van der List J. F. , Weber A. C. , Wehus I. K. , Wiebe D. V. , Young E. Y. ,   Spider Collaboration
Published: January 2025

Using data from the first flight of Spider and from the Planck High Frequency Instrument, we probe the properties of polarized emission from interstellar dust in the Spider observing region. Component-separation algorithms operating in both the spatial and harmonic domains are applied to probe their consistency and to quantify modeling errors associated with their assumptions. Analyses of diffuse Galactic dust emission spanning the full Spider region demonstrate (i) a spectral energy distribution that is broadly consistent with a modified-blackbody (MBB) model with a spectral index of β
d = 1.45 ± 0.05 (1.47 ± 0.06) for E (B)-mode polarization, slightly lower than that reported by Planck for the full sky; (ii) an angular power spectrum broadly consistent with a power law; and (iii) no significant detection of line-of-sight polarization decorrelation. Tests of several modeling uncertainties find only a modest impact (∼10% in σ

r
) on Spider’s sensitivity to the cosmological tensor-to-scalar ratio. The size of the Spider region further allows for a statistically meaningful analysis of the variation in foreground properties within it. Assuming a fixed dust temperature T
d = 19.6 K, an analysis of two independent subregions of that field results in inferred values of β
d = 1.52 ± 0.06 and β
d = 1.09 ± 0.09, which are inconsistent at the 3.9σ level. Furthermore, a joint analysis of Spider and Planck 217 and 353 GHz data within one subregion is inconsistent with a simple MBB at more than 3σ, assuming a common morphology of polarized dust emission over the full range of frequencies. This evidence of variation may inform the component-separation approaches of future cosmic microwave background polarization experiments.
EDGE-INFERNO: Simulating Every Observable Star in Faint Dwarf Galaxies and Their Consequences for Resolved-star Photometric Surveys
Authors: Andersson Eric P. , Rey Martin P. , Pontzen Andrew , Cadiou Corentin , Agertz Oscar , Read Justin I. , Martin Nicolas F.
Published: January 2025

Interpretation of data from faint dwarf galaxies is made challenging by observations limited to only the brightest stars. We present a major improvement to tackle this challenge by undertaking zoomed cosmological simulations that resolve the evolution of all individual stars more massive than 0.5 M
⊙, thereby explicitly tracking all observable stars for the Hubble time. For the first time, we predict observable color–magnitude diagrams and the spatial distribution of ≈100,000 stars within four faint (M
⋆ ≈ 105
M
⊙) dwarf galaxies directly from their cosmological initial conditions. In all cases, simulations predict complex light profiles with multiple components, implying that typical observational measures of structural parameters can make the total V-band magnitudes appear up to 0.5 mag dimmer compared to estimates from simulations. Furthermore, when only small (⪅100) numbers of stars are observable, shot noise from realizations of the color–magnitude diagram introduces uncertainties comparable to the population scatter in, e.g., the total magnitude, half-light radius, and mean iron abundance measurements. Estimating these uncertainties with fully self-consistent mass growth, star formation, and chemical enrichment histories paves the way for more robust interpretation of dwarf galaxy data.
Identifying the Coronal Holes in Open Magnetic Field Regions Using Deep Learning
Authors: Huang Guan-Han , Lin Chia-Hsien
Published: January 2025

Open magnetic field (OMF) regions are the foot points of the field lines extending to infinity. While they are often considered to coincide with coronal holes (CHs), many studies have reported non-negligible inconsistency between the two. The objective of this study is to develop a deep learning model to predict the OMF regions that coincide with CHs, and to examine the importance of different physical quantities on the prediction. The CHs and OMF regions are both identified from the coronal data computed by a magnetohydrodynamic model developed by Predictive Science. Eight physical quantities, colatitude, magnetic flux expansion factor, magnetic field strength, thermal pressure, electron temperature, electron number density, mass density, and local coronal heating rate, at the OMF footpoints are used as the input to the deep learning model. The results of the test set indicate that the model improves the consistency between CHs and OMF regions from 0.33 to 0.81, and that all eight quantities are similarly important when they are all included in the model although the prediction accuracy would be most affected by excluding the colatitude and/or magnetic field strength. Comparison between the histograms of CH and non-CH open field regions indicates that each quantity alone can be used to distinguish the two within the ranges of values where one histogram is much higher than the other.
Understanding the Radio Emission from the β Cep Star V2187 Cyg
Authors: Rodríguez Luis F. , Lizano Susana , Cantó Jorge , González Ricardo F. , Tapia Mauricio
Published: January 2025

We analyze the radio emission from the β Cep star V2187 Cyg using archive data from the Jansky Very Large Array. The observations were made in ten epochs at 1.39 and 4.96 GHz in the highest angular resolution A configuration. We determine a spectral index of of α = 0.6 ± 0.2 (S

ν
 ∝ ν

α
), consistent with an ionized wind or a partially optically thick synchrotron or gyrosynchrotron source. The emission is spatially unresolved at both frequencies. The 4.96 GHz data show a radio pulse with a duration of about one month that can be modeled in terms of an internal shock in the stellar wind produced by a sudden increase in the mass-loss rate and the terminal velocity. The quiescent radio emission of V2187 Cyg at 4.96 GHz (with a flux density of  ≃150 μJy) cannot be explained in terms of an internally (by V2187 Cyg) or externally (by a nearby O star) photoionized wind. We conclude that, despite the spectral index suggestive of free–free emission from an ionized wind, the radio emission of V2187 Cyg most likely has a magnetic origin, a possibility that can be tested with a sensitive search for circular polarization in the radio, as expected from gyrosynchrotron radiation and also by trying to measure the stellar magnetic field, which is expected to be in the range of several kilogauss.
A prospective clinical study to evaluate the comparative effectiveness of dry needling and laser therapy in neck and upper back myofascial pain syndrome
Authors: Külekçioğlu Sevinç
Published: January 2025

Introduction: Myofascial pain syndrome (MPS) is a disorder of the musculoskeletal system that is distinguished by the presence of pain, tenderness, muscle spasms, restricted joint range of motion, fatigue, and, in rare cases, autonomic dysfunction.

Aim: The purpose of this study was to compare the effectiveness of laser and dry needling (DN) treatments for enhancing cervical joint range of motion, neck pain, and quality of life in patients with active upper trapezius myofascial trigger points who experience persistent neck pain.

Patients and methods: A total of 50 patients who were clinically diagnosed with MPS were included. They were divided into two treatment groups, the DN (n=25) and laser (n=25) groups, by sequential randomization. The parameters used in the study were the visual analogue scale (VAS) score and cervical rotation, flexion, extension, lateral flexion, and extension to determine the cervical range of motion (ROM). Additionally, the Nottingham Health Profile (NHP) questionnaire was used to evaluate quality of life. VAS, NHP, and ROM measurements were performed on patients in both groups before treatment (BF), after treatment (AT), and at 1 month.

Results and conclusion: Both low-level laser therapy and DN were found to be effective in reducing pain intensity, increasing cervical range of motion, and improving quality of life in patients suffering from myofascial pain syndrome.
Correlation between microRNA-21 expression and overweight/obesity
Authors: Sinha Shashwat , Rajendran Babu , Vasagam Shomnath , Balakrishnan Jeyakumar
Published: January 2025

Introduction: Obesity and overweight are chronic conditions characterized by excessive adiposity that negatively impact health. They are among the most significant risk factors for respiratory failure, diabetes mellitus, cardiovascular disease, and hypertension. Genetic factors may contribute to some of these conditions, but they are mainly associated with the lifestyle in the majority. However, neither genetics nor lifestyle can fully explain all cases. Recent studies have proven that microRNA-21 causes the systemic hypertension, many cardiac pathologies, and some cancers. MicroRNA-21 is viewed as an important future biomarker for many critical conditions. We explored the role of microRNA-21 in the causation of overweight and obesity. There is conflicting data about this association in the literature. Determining if there is an association may help us in better understanding and managing this condition.

Aim: To determine if there is a link between microRNA-21 expression and body mass index (BMI) in an Indian adult population. We also compared the lipid profiles (total cholesterol, HDL, LDL, and triglycerides) of participants (grouped by their BMI) to get a better understanding.

Patient and methods: The study was conducted in Pondicherry, India and had 50 participants, with 30 as controls having normal BMI, and 20 categorized as overweight or obese as per BMI.

Results: The microRNA-21 levels in circulation were analyzed using Real-Time Quantitative Reverse Transcription Polymerase Chain Reaction (qRT-PCR). The expression of microRNA-21 was statistically higher in the overweight/obese cohort compared to the normal BMI individuals (p=0.034). A significant difference was also noted in the total cholesterol levels, with the overweight/obese group having higher values than normal BMI group (p=0.004).

Conclusion: This is the first study of its kind in the Indian population to establish that individuals classified as overweight or obese exhibit higher expression of microRNA-21 and elevated total cholesterol levels compared to those with a normal BMI.
Des déchets au pied de chez soi
Authors: Malier Hadrien
Published: January 2025

Cet article s’intéresse aux logiques de la domination sociale qui (re)produisent l’inégale exposition des groupes sociaux aux préjudices environnementaux, à partir d’une enquête ethnographique sur le problème posé par l’accumulation de déchets aux abords de trois résidences HLM de banlieue parisienne. Alors que cette situation matérielle constitue une nuisance dont se plaignent souvent les locataires, les politiques locales de sensibilisation écologique contre le « jet d’ordures par les fenêtres » légitiment l’injustice environnementale en accusant les ménages d’en être les principaux responsables. Les injonctions genrées à la réforme écologique de soi par les bailleurs sociaux et les municipalités s’apparentent à une forme de contrôle social écologisé qui institutionnalise et diffuse des représentations disqualifiantes des styles de vie populaires. Ce contrôle a pour effet de réduire au silence les souffrances environnementales liées à cette dégradation du milieu de vie, d’en invisibiliser les causes structurelles et de nourrir des conflits internes au voisinage fondés sur des catégorisations racialisées. Au lieu d’être construite comme un problème environnemental affectant collectivement la qualité de vie des habitant·es, la présence de déchets dans les résidences sert de support à des dynamiques d’encadrement et de stigmatisation. À travers celles-ci, la domination symbolique participe à perpétuer la domination matérielle.
Une lutte de confort ?
Authors: Clément Garance
Published: January 2025

Parce qu’elles entrent en contradiction avec les politiques de transition énergétique et la montée en puissance d’une norme « éco-citoyenne », les aspirations au confort domestique restent peu indexées sur les sensibilités environnementales. Si on peut expliquer cette tension par l’inertie des styles de vie, l’article montre que l’expression de besoins en termes de confort découle aussi d’une remise en cause, par les politiques d’austérité, du caractère protecteur de la vie domestique vis-à-vis des mécanismes marchands. Il s’appuie sur le cas de la « grève des factures énergétiques » organisée entre 2022 et 2023 par le collectif britannique « Don’t Pay UK ! ». Alors que les fractions cultivées et désargentées des classes moyennes apparaissent comme les plus susceptibles de réformer leurs pratiques ordinaires en faveur de la sobriété, cet épisode a au contraire vu des militant·es jeunes, urbains, diplômé·es, en affinité avec la gauche anticapitaliste, se détourner de l’écologie pour réclamer une baisse des tarifs du gaz et de l’électricité. À rebours de la recherche des profits distinctifs offerts par l’adhésion à la morale écologique, cette requalification des enjeux énergétiques tournée vers un droit à la consommation permet d’interroger la manifestation des besoins en confort là où ils sont d’ordinaire les plus euphémisés. Après avoir présenté les contours sociaux de la mobilisation, l’article étudie d’abord les stratégies de cadrage et d’alliance mises en œuvre par les militant·es, avant de s’interroger sur l’inscription de cette « lutte énergétique » dans leurs mondes privés. Il expose comment le collectif organisateur de la grève a cherché à opérer un rapprochement entre classes moyennes et classes populaires, dans l’optique de construire un mouvement de masse. Cette stratégie a néanmoins débouché sur des tentatives d’encadrement de la consommation d’énergie réaffirmant les frontières sociales. En dernière instance, la mobilisation a buté sur une inégale exposition de la sphère domestique aux conséquences de la hausse des prix – la perspective d’un retour au confort offrant aux militant·es les plus doté·es en capital économique une forme de réassurance sociale.
Copistes et scriptorium à l’abbaye du Saint-Sépulcre à Cambrai au xv e siècle
Authors: Pretto Sara
Published: January 2025

L’article retrace l’histoire du scriptorium de l’abbaye bénédictine du Saint-Sépulcre de Cambrai depuis ses origines et présente son organisation à la fin du Moyen Âge. Grâce au dépouillement de documents d’archives et à l’analyse des manuscrits provenant de la bibliothèque du monastère, l’autrice évoque les deux générations de copistes actifs durant la seconde moitié du xv e siècle, en identifiant les profils de moines inconnus jusqu’à présent. La contribution revient également sur l’organisation du travail à l’intérieur du scriptorium et dans les lieux consacrés à l’écriture, en révélant le vif dynamisme des pratiques de copie de ce centre monastique à la fin du Moyen Âge. Les documents de l’abbaye montrent une série de caractéristiques typiques d’un centre d’écriture « classique », mais avec des éléments innovants, propres à la culture d’une époque où de nouvelles formes de religiosité émergent en ouvrant les portes des monastères à la Modernité.
Conserver le souvenir des écrits médiévaux circulant sur le marché privé : la base de données Guard
Authors: de Valeriola Sébastien , Ruffini-Ronzani Nicolas
Published: January 2025

Cette brève note consiste en une présentation du projet Guard , acronyme de Guarantee Unpreserved Archives Remain Documented . Conçu sous la forme d’une base de données collaborative de type « wiki », Guard vise à archiver de façon pérenne un maximum d’informations sur les documents écrits médiévaux circulant sur le marché privé. Il obéit à un principe simple : il s’agit de recueillir et de compiler l’ensemble des données disponibles (en ce compris les clichés) sur des actes, des rouleaux, des manuscrits ou des fragments qui transitent, de façon souvent très éphémère, dans des maisons de ventes aux enchères ayant pignon sur rue ou dans des salles virtuelles. Ce faisant, cet outil met à disposition des chercheurs des dizaines de documents dont il est généralement fort difficile de prendre connaissance et qui disparaissent rapidement de leur vue.
On certain properties of three parametric kinds of Apostol-type unified Bernoulli-Euler polynomials
Authors: Ramírez William , Kızılateş Can , Bedoya Daniel , Cesarano Clemente , Ryoo Cheon Seoung
Published: January 2025

In this paper, we define the three parametric types of Apostol-type unified Bernoulli-Euler polynomials. We present fundamental properties of these polynomials through the utilization of their generating functions. Furthermore, we derive the partial derivatives of these polynomials. Subsequently, we introduce bivariate polynomials and determine their zeros, graphical representations, and approximation values for specific parameters.
A fully automated U-net based ROIs localization and bone age assessment method
Authors: Zhao Yuzhong , Wang Yihao , Yuan Haolei , Xie Weiwei , Ding Qiaoqiao , Zhang Xiaoqun
Published: January 2025

Bone age assessment (BAA) is a widely used clinical practice for the biological development of adolescents. The Tanner Whitehouse (TW) method is a traditionally mainstream method that manually extracts multiple regions of interest (ROIs) related to skeletal maturity to infer bone age. In this paper, we propose a deep learning-based method for fully automatic ROIs localization and BAA. The method consists of two parts: a U-net-based backbone, selected for its strong performance in semantic segmentation, which enables precise and efficient localization without the need for complex pre- or post-processing. This method achieves a localization precision of 99.1% on the public RSNA dataset. Second, an InceptionResNetV2 network is utilized for feature extraction from both the ROIs and the whole image, as it effectively captures both local and global features, making it well-suited for bone age prediction. The BAA neural network combines the advantages of both ROIs-based methods (TW3 method) and global feature-based methods (GP method), providing high interpretability and accuracy. Numerical experiments demonstrate that the method achieves a mean absolute error (MAE) of 0.38 years for males and 0.45 years for females on the public RSNA dataset, and 0.41 years for males and 0.44 years for females on an in-house dataset, validating the accuracy of both localization and prediction.
The High Bar
Authors: De Hoyos Marissa
Published: January 2025

This article utilizes storytelling through the use of vignettes to share the experiences of an administrator subjected to disrespect and the condescending nature of mainly students' mothers because she did not give birth to a living child. This author shares her personal story of experiencing motherhood at each phase of a child's life from birth to adulthood. Motherhood experiences occur through nieces, students, teachers, co-administrators, and neighborhood youth. Historically, the term assigned for a woman with no children is childless, barren, nullipara, voluntarily childless, and intentionally childless. I chose to coin the term mar-maternal for those women who did not choose not birth a living child but were still able to be a mother to others who needed motherly love. The paper explains the origin of the term and concludes with my reflections on a lifetime of being called various versions of “mother” and the memories attached.
The Sigma of Being a Black Childless Educator
Authors: Clarke Karis L.
Published: January 2025

Being a Black Educator carries a great deal of responsibility. We are integral to reducing PreK-12 racial disparities in the United States. Also, Black educators are often positioned as “superheroes” who will turn the tides of structurally disparate academic and discipline outcomes for students of historically marginalized racial groups. There lies a (perhaps unintentional) public perpetuation of a problematic “magical negro” trope, one that “is designed to erase blacks' complex humanity and assigns weighty expectations to racialized individuals. This magical negro trope implies that simply being Black endows Black educators with “natural” pedagogical abilities, detached from multitudes of other personal characteristics, strengths, and lived experiences that shape how Black people-as individuals embedded in complex social systems-come to see, understand, and behave. This unrealistic view of Black educators may lead to more of them choosing to not have children.
The Loss of Mystical Mother Powers as a Childless Educator
Authors: Gerhardson Ashley
Published: January 2025

As a teacher, administrators, co-workers, and parents would ask how I understood children if I did not have any. I have heard the adage “She's a mother of children,” implying a deeper connection to students. This excuse has been utilized to prove that a co-worker is better at time management, people skills, and connection due to some mystical power of having a child. Even working at multiple levels of education and in numerous roles, the nuance that I violated all expectations remains. A childless administrator related well to me until she became a mother. A switch occurred, and I remember vividly being told “You do not like children and do not understand them!” I had indeed become the societal deviant in the school system. Regardless of my Ph.D. and in-depth education knowledge, I could not know what a child needed. By not having children of my own, I had an unspoken disdain for children. These stereotypes were far from the truth. I devoted my life goals to loving others, so I did not wish to detract from this ability. The mother stereotype meant I could never understand.
Room to Grow
Authors: Prendergast Lindsay
Published: January 2025

The purpose of this chapter is to describe the life experiences of a woman education leader who is married but does not have children. The chapter describes the author's career journey from beginning stages to current time, detailing her personal decisions and thought-processes around motherhood as well as her professional development over the years as a women with no children working in a field predominantly populated by those with families. In particular, attention is paid to the experiences of this woman educator as she progressed into leadership roles and how having no children may have presented more opportunities for promotion, growth, and development than other leaders (particularly women) who needed to allocate many hours a day to parenting.
No Wom(b)an No Cry
Authors: Serafini Amy , Lozano Maritza , Calderone Shannon , Martinez Melissa A.
Published: January 2025

In education, where caregiving is paramount, the role of wom(b)an educators who are childfree—whether by choice or circumstance—introduces complex dynamics of identity and expectation. This chapter shares a collaborative autoethnography involving four racially and ethnically diverse female faculty from universities across the U.S. who are part of a co-mentoring circle. They navigate their professional landscapes while grappling with societal and cultural expectations. The chapter delves into the testimonios to explore the nuanced experiences of being childfree wom(b)an faculty, examining how these experiences shape their scholarship, teaching, and engagement in academia. It investigates how broader sociocultural perceptions of wom(b)anhood influence their professional lives and the norms within academic settings. By weaving their stories, this work sheds light on the paradoxical freedom associated with their status, the impact on professional identity, and the balance between work and personal life.
AI-Driven Decision Support System for Workplace Wellbeing
Authors: Rao T. Venkat Narayana , Patel G. Sahasra , Bhavana Sangers , Swetha Chenchu
Published: January 2025

This chapter focuses on decision support systems (DSS) based on artificial intelligence to improve work related well-being. Concerning well-being, organizations have begun to appreciate the need to care for employees' mental and physical health, and AI technologies provide the way of approaching the problem. The system includes predictive models, feedback, and machine learning to note stress causes and mood changes. Collect health and sentiment data from communication interfaces, human-wearable devices, and engagement surveys. They detect stress, and also recognize possible problem areas before the climax of the problem, so that the necessary measures can be taken. DSS may promote the general well-being of the employees and increase organizational performance for organizational development. The efficient use of analytical techniques enables organizations to ensure they adapt the strategies for improving the health standards among employees while at the workplace. Standards among employees while at the workplace.
Do Financial Well-Being and Quality of Life Affect per Capita Productivity?
Authors: Roy Debasish
Published: January 2025

This research work delves at exploring the effects of the financial soundness and quality of life on Per capita productivity (PCP) in the times of waning productivity across the globe – and especially, the developed countries. Based on the two major pillars of Financial Soundness and Quality of Life (FSQL), the Financial Soundness and Quality of Life Index (FSQLI) [Base Year: 2006 = 100] has been formulated to evaluate its impact on Per capita productivity in a macroeconomic perspective. In order to fulfil the objective mentioned above, a time series study of 12 years (2007 – 2018) had been conducted for seven sample countries and the derived statistical results and findings exhibited that for 6 out of 7 sample countries, FSQLI had a strong positive causal effect on per capita productivity. In other words, financial wellbeing and quality of life combinedly acts as one of the major significant factors (if not the most) that helps to appreciate the level of PCP across demographical regions of the world.
Well-being and Happiness in the Garment Industrial Sector in Bangalore
Authors: Joseph Jipson , Pandey Ananya
Published: January 2025

Well-being and happiness are essential attributes for a meaningful life. Well-being is the sum total of all positive emotions and satisfactions, whereas happiness is an emotional expression of a pleasant mental state. Well-being and happiness depend on many factors like education, skills, working space, interpersonal relationships, and family interactions. This chapter critically analyzes the parameters of well-being and happiness among the garment industrial workers in Bangalore Urban. Bangalore is the “garment capital of India,” which has many garment units and employs almost 0.3-0.5 million people. Most of them are women and less educated, and come under the category of unorganized workers. The chapter follows the unstructured interview method of qualitative methodology for exploring the experiences of garment industry workers in relation to their well-being and happiness. Based on their narratives, the chapter enlists the drawbacks in the sector and gives specific policy guidelines to ensure their well-being and better productivity.
Anomaly Detection in Healthcare Monitoring Survey
Authors: Ali Ayman A. , Ashraf Ahmed , Rahouma Kamel H.
Published: January 2025

This chapter delves into the realm of anomaly detection in Wireless Sensor Networks (WSNs) and the Internet of Things (IoT), emphasizing their pivotal role in bolstering security. Focusing on diverse domains such as healthcare, environmental monitoring, and process industries, the chapter consolidates findings from various studies employing innovative anomaly detection techniques. One notable approach integrates supervised and unsupervised methods for continuous patient monitoring, showcasing successful anomaly detection in physiological variables using an autoencoder and XGBoost algorithm. The survey extends its scope to large-scale environmental sensing systems, where the proposed Anomaly Detection Framework demonstrates effectiveness in detecting emission events. Moreover, the paper explores sustainability initiatives, utilizing contextual anomaly detection in collaboration with Power smiths. The proposed algorithm, validated in simulation environments using historical data, exhibits promising real-time performance. An array of anomaly detection algorithms is presented, addressing challenges in diverse domains. These include a variance-based algorithm for sensor data, BRBAR for handling uncertain sensor data, anomaly detection in medical data, outlier detection in big sensor data, integration of SVM and YASA for activity recognition, density estimation for anomaly detection, and biomedical signal analysis. The survey concludes by highlighting future research directions, emphasizing the importance of addressing challenges in WSNs and IoT, such as resource constraints and collaboration with prevention-based techniques. Ongoing research aims to incorporate data stream mining techniques, apply anomaly detection methods to specific industries, and explore benchmark data selection for comprehensive evaluations. The taxonomy presented in the survey categorizes techniques, models, and architectures, providing a valuable guide for researchers and practitioners navigating the intricate landscape of anomaly detection in sensor systems. Open research inquiries pave the way for future investigations, contributing to the continuous evolution and improvement of anomaly detection methodologies.
AI-Enhanced Neurophysiological Assessment
Authors: Kumar Deepak , Kumar Punet , Pal Sushma , Singh Sangam
Published: January 2025

Advancements in artificial intelligence (AI) are revolutionizing neurophysiology, enhancing precision and efficiency in assessing brain and nervous system function. AI-driven neurophysiological assessment integrates machine learning, deep neural networks, and advanced data analytics to process complex data from electroencephalography, and electromyography techniques. This technology enables earlier diagnosis of neurological disorders like epilepsy and Alzheimer's by detecting subtle neural patterns that may be missed by human analysis. AI also facilitates real-time monitoring and predictive analytics, improving outcomes in critical care and neurorehabilitation. Challenges include ensuring data quality, addressing ethical concerns, and overcoming computational limits. The integration of AI into neurophysiology offers a precise, scalable, and accessible approach to treating neurological disorders. This chapter discusses the methodologies, applications, and future directions of AI in neurophysiological assessment, emphasizing its transformative impact in clinical and research fields.
Integration of AI With ML for Neuropsychological Applications
Authors: Kaur Prabhjeet , Sachdeva Channi , Gupta Ravi Kumar , Jasrai Lokesh
Published: January 2025

This chapter examines how Artificial Intelligence (AI) and Machine Learning (ML) are being used in neuropsychology, focusing on how they can significantly improve the study and treatment of cognitive issues like Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD). Traditional methods in neuropsychology often depend on subjective evaluations, which can reduce the accuracy of diagnoses and delay necessary treatments. AI and ML use large amounts of data to find early signs of cognitive problems and provide better predictive analysis, helping with early detection and more accurate treatment. From a research standpoint, AI offers new tools to examine complex data from brain scans, genetic information, and behaviour tests. Machine learning can identify patterns that suggest how diseases might progress, which could lead to important discoveries in finding markers for diseases and creating treatments tailored to individual patients. The chapter indicates that more research should focus on making AI systems fair and easy to understand and using them in many medical situations.