bluuebunny/crossref_metadata_2025 huggingface dataset:
Infraestructura cultural como eje de integración y desarrollo cultural de la población de Villa El Salvador, 2020
Authors:   , Milla Agape Francisco Joel , Mendoza Leon Alex Jhoel
Published: November 2024

La tesis tiene como objetivo determinar las características de la arquitectura actual relacionada a la integración y desarrollo de las actividades culturales de la población de Villa El Salvador, para ello se ha hecho un estudio a los espacios culturales existentes para identificar el lenguaje arquitectónico por el cual se relacionen las diferentes culturas, con la finalidad de proponer un equipamiento cultural con un lenguaje arquitectónico que los identifique. La investigación tiene un enfoque mixto, puesto que se utiliza los métodos cualitativo y cuantitativo, el tipo de estudio es no experimental y correlacional, aplicado los métodos inductivo y analítico. Se consideró a la población mayor a los 18 años siendo un total de 248 947.00 (INEI, 2017). A través del cálculo probabilístico se determinó una muestra representativa de 267 pobladores, para la recopilación de los datos se usó la técnica de encuestas, siendo su instrumento el cuestionario. Además, se aplicó el instrumento de mapeo y revisiones bibliográficas para la ejecución del proyecto de investigación. Los resultados muestran que la población de Villa El Salvador tiene una participación dinámica en las actividades artísticas. Se registró que más del 60% participan en actividades artísticas, lo cual demuestra el interés y preocupación por conservar y difundir su cultura. Sin embargo, estas actividades se realizan en su mayoría en espacios públicos como las Plazas (52%), en losas deportivas (50.0%), casas culturales (30%). Según el mapeo realizado estos espacios públicos se encuentran en condiciones precarias, puesto que no reciben mantenimiento permanente, además las edificaciones culturales existentes presentan inadecuadas iluminaciones y mantenimiento de manera regular. Por tal motivo, se planteó un Centro cultural artístico y recreativo para la integración y desarrollo de las actividades culturales de la población de Villa El Salvador, en el proyecto se desarrolla espacios artísticos, de aprendizaje…
Análisis de tendencias y redes de colaboración en hemocromatosis
Authors:   , Gonzales Calizaya Omar Orlando
Published: November 2024

Introducción: La hemocromatosis es una enfermedad que engloba a un grupo de complicaciones sistémicas, ocasionada por una mutación genética, causando un exceso de hierro, el mismo encontrado en un análisis metabólico de hierro, en el cual las personas pueden ser asintomáticas, mostrando la enfermedad a partir de la cuarta década de vida y siendo la flebotomía el tratamiento de elección. Nuestro objetivo es determinar la producción científica del análisis de tendencias y redes de colaboración en hemocromatosis. Métodos: Se realizó un estudio bibliométrico en Scopus entre 1978 y 2023. Los archivos fueron exportados en formato .csv para el análisis descriptivo en Microsoft Excel 365. Además, se realizaron gráficos de redes de colaboración en VOSviewer 1.6.20. Resultados: Se encontraron 2207 documentos, con un pico de publicación y una producción más intensiva a partir del 2021. El 89.3% fueron artículos y el 10.7%, revisiones. El 56.2% de las publicaciones tuvo a Medicina como área de estudio. Los dos países con una considerable cantidad de publicaciones fueron Estados Unidos y Reino Unido; las dos filiaciones institucionales con más publicaciones fueron Inserm y QIMR Berghofer Medical Research Institute. En cuanto a las redes de colaboración se observó que Estados Unidos se encuentra a la cabeza de la producción científica. Conclusión: La investigación científica sobre la hemocromatosis a nivel global ha experimentado un crecimiento notable en las últimas dos décadas. Sin embargo, es crucial promover una mayor cooperación por parte de los países subdesarrollados, fomentando la colaboración intrarregional e involucrando a instituciones de salud en la investigación de esta patología.
Influencia del estrés parental en el bienestar psicológico en padres de familia con hijos con altas capacidades intelectuales en contexto de pandemia en Lima metropolitana, 2022
Authors:   , Kusen Guillen Nikkori Sofia
Published: November 2024

El estudio se expuso como objetivo general detallar la influencia del estrés parental en el bienestar psicológico en padres con hijos con altas capacidades intelectuales del Programa de Atención Educativa para Niños con Facultades Talentosas Sobresalientes, ubicado en el distrito de San Luis. Se realizó una investigación aplicada, cuantitativa y descriptiva. Contó con una muestra de 169 padres de familia, utilizándose dos cuestionarios, para la medición de las variables el Cuestionario de Estrés Parental, nueva versión peruana y el Cuestionario de Bienestar psicológico, según el concepto de Díaz et al. (2006), para el análisis de datos se usó el estadístico SPSS v. 28, el coeficiente de regresión lineal, y una significancia del 5% para el contraste de hipótesis. En los resultados se observa un nivel medio en puntajes de Estrés Parental con un promedio de X=55.96, en la dimensión de malestar paterno X=18.96, en interacción disfuncional una media de X=13.15 y en la dimensión de dominio del niño difícil X=23.85. Las conclusiones precisaron que el estrés parental fue moderado con 55.96, una desviación estándar de 16.951 y una varianza de 287.348, con relación a su influencia en el bienestar psicológico de padres que tienen hijos con altas capacidades intelectuales; por su parte, el malestar paterno presento un nivel medio con una media de 18.96, una desviación de 5.928 y una varianza de 35.147.Sin embargo, existe influencia significativa del estrés parental en las distintas dimensiones como las de autoaceptación, autonomía, relaciones positivas, propósito de vida y crecimiento personal.
Sistema de gestión de calidad y gestión por procesos en una empresa del sector oil&gas (Lima-Perú), 2022
Authors:   , Santa Maria Suarez Luis Quian , Ortiz Perez Víctor Hugo
Published: November 2024

Las herramientas utilizadas en el pasado para la gestión de la calidad incluían varios métodos estadísticos y métodos de diseño experimental, entre otros. Estas se emplearon de manera eficaz en distintos campos del control de calidad de muchas empresas, por parte de los miembros del círculo de Gestión de Calidad. Pero ahora, para satisfacer las demandas que exige el cambio social, los gerentes y el personal deben complementar las herramientas de calidad comúnmente utilizadas con nuevas técnicas. El objetivo general fue determinar la relación que existiría entre el despliegue del Sistema de Gestión para la Calidad en la Gestión por procesos para una empresa del rubro Oil&Gas, Lima-2022. La metodología empleada para el presente estudio fue el diseño no experimental, de corte transversal y correlacional, bajo el modelo cuantitativo y de tipo aplicada, y se tiene una población para la organización en estudio que asciende a 240 trabajadores, aplicándose una encuesta a 40 personas. Por último, se concluye con la presencia de una correlación significativa entre el despliegue del Sistema de Gestión para la Calidad en la Gestión por Procesos en una empresa del rubro Oil&Gas, Lima-2022, encontrando una correlación con significancia positiva alta entre dichas variables, con un valor para la correlación de 0.733 dicho valor es significativo estadísticamente a un nivel de significancia del 0.010 (bilateral) < a 0.050.
Analysis of the impact of isothermal hardening on the mechanical properties and abrasion resistance of welded joints on Hardox Extreme steel
Authors: Zemlik Martyna , Konat Łukasz , Białobrzeska Beata , Skoczylas Paweł , Jamroziak Krzysztof
Published: November 2024

The object of the research reported in this study was a welded joint of Hardox Extreme steel, made using submerged arc welding (SAW) and subjected to thermal treatments involving isothermal hardening in various temperature-time variants. This treatment serves as an alternative to conventional hardening, enabling the achievement of high mechanical indices in selected cases due to the formation of fine-lath martensite or lower bainite microstructures. Heat-treated joints were analyzed macro- and microstructurally using stereoscopic, light (LM), and scanning electron microscopy (SEM). The study also determined selected mechanical properties, such as hardness, tensile strength, relative elongation, and reduction of area at break, as well as impact toughness at ambient and reduced temperatures. A separate section was dedicated to characterizing abrasion resistance in the presence of loose abrasive, along with determining the relationship between this parameter and the identified mechanical characteristics. Based on the analysis of the microphotographic images obtained, the main wear mechanisms were also characterized. The analysis of the results allowed the conclusion that in the case of isothermal hardening, the factor determining the obtained microstructural and mechanical properties is the temperature of the performed thermal operations. Furthermore, after the conducted thermal treatments, the parameters characterizing the ductility of the welded joint improved by several percent compared to the state immediately after welding. Therefore, the main goal of the technological operations conducted on welded joints of high-strength steels can be defined as improving ductility, which is justified in applications considering alternatives even to structural steels.
Non-Linear Dynamics in ECG: A Novel Approach for Robust Classification of Cardiovascular Disorders
Authors: Bhattacharya Debanjali , Behera Suraj Kumar , Aithal Ninad , Sinha Neelam
Published: November 2024

Multi-channel ECG-based cardiac disorders detection has an impact on cardiac care and treatment. Limitations of existing methods included variation in ECG waveforms due to the location of electrodes, high non-linearity in the signal, and amplitude measurement in millivolts. The present study reports a nonlinear analysis-based methodology that utilizes Recurrence plot visualization. The patterned occurrence of well-defined structures, such as the QRS complex, can be exploited effectively using Recurrence plots. This Recurrence-based method is applied to the publicly available Physikalisch-Technische Bundesanstalt dataset from PhysioNet database, where we studied four classes of different cardiac disorders (Myocardial infarction, Bundle branch blocks, Cardiomyopathy, and Dysrhythmia) and healthy controls, achieving an impressive classification accuracy of 100%. Additionally, t-SNE plot visualizations of the latent space embeddings derived from Recurrence plots and Recurrence Quantification Analysis features reveal a clear demarcation between the considered cardiac disorders and healthy individuals, demonstrating the potential of this approach.
Modelling phosphorus inputs and dynamics in a large tropical semiarid basin
Authors: Neto Iran Eduardo Lima
Published: November 2024

This study proposed a simple process-based model to predict total phosphorus (TP) inputs and dynamics in a large tropical semiarid basin in Brazil (19,015 km²), where the Castanhão dam, the largest non-hydropower reservoir in Latin America, is located. The model solved on a monthly basis the water balance and TP dynamics along the river system, considering complete mixing at the cross-section, steady-state regime and a piston-type transport with first-order decay. Both primary and secondary data were used to validate the model, with deviations of up to about 20%. A linear increase in the flow rate along the river was observed, indicating that transmission gains were dominant. TP concentration increased with river flow rate and a consistent decay along the system was observed. TP from point-sources (PS) was assumed constant. TP from non-point sources (NPS) decreased with time (R² = 0.90) due to the continuous wash-off process. NPS was the dominant load, decreasing respectively from 99 to 61% of the total load from high to low flows. TP load varied from 1-141 ton/month, with an average of 34 ton/month. This resulted in an average TP yield of 21.2 kg km-2 year-1, which is significantly lower than the national average due to the peculiarities of the region: lower precipitation, intermittent rivers and high-density reservoir network. All the simulated TP values were above the mandatory limit of 0.05 mg/L. PS reduction was only effective for relatively low flows, while NPS reduction was the most relevant remediation measure for both high and low flows. The impact of climate change on TP concentration also yielded TP > 0.05 mg/L for all the projected scenarios, with the input loads to the Castanhão reservoir spanning from 23 to 266 ton/month. The proposed model can also be applied to other regions with different hydroclimatic conditions and land uses.
Dislocations govern noble metal exsolution in perovskite oxide
Authors: Kim Hyunjung , Choi Sungwook , Guha Puspendu , Kim Hayoung , Kim Jaeseung , Kim Sungwon , Harder Ross , Cha Wonsuk , Suh Hoyoung , Ryu Jinseok , Yang Sungeun , Ji Ho-Il , Kwon Deok-Hwang
Published: November 2024

Self-assembled metal nanoparticles exsolved from host oxides have gained prominence in catalysis and electrochemistry owing to their exceptional activity and stability1–3. Understanding the relation between dopant transport and exsolution is important, as the transport mechanism of dopants toward the surface of the host oxide directly influences exsolution sites, density, and dispersion, ultimately determining catalytic functionality4–6. However, the pathways for dopant transport and their interaction with internal defects during exsolution remain unclear because of the complexity of defects hidden in bulk. Here, we reveal the exsolution pathway mediated by dislocation evolution within a host oxide perovskite. By employing in situ Bragg coherent X-ray diffraction imaging and transmission electron microscopy, we show that dislocations nucleate in the bulk interior and propagate to the surface during the reduction of Ru-doped in BaCe0.85Y0.1Ru0.05O3-δ. Moreover, we verify that the Ru dopant is specifically correlated with the formation of mixed dislocations, which then provide transport pathways for the exsolution of Ru nanoparticles. These findings advance our understanding of dislocation dynamics and support the development of exsolved metal nanoparticles for next-generation catalysts7,8.
Impact of Frailty and Clonal Hematopoiesis on Cardiovascular Outcomes in Elderly Patients with Renal Artery Stenosis Undergoing Stenting
Authors: Li Peng , Wang Yiyang , Wang Yang , Ai Hu , Li Yongjun , Ren Junhong
Published: November 2024

Background:
Frailty and clonal hematopoiesis of indeterminate potential (CHIP) have emerged as crucial predictors of adverse cardiovascular outcomes in older adults. However, their combined impact on major adverse cardiovascular events (MACE) in patients with severe atherosclerotic renal artery stenosis (ARAS) remains unclear.
Methods:
We conducted a prospective cohort study involving 175 patients aged 60 years and older with severe ARAS (luminal stenosis ≥ 70%) who underwent renal artery stenting at Beijing Hospital between January 2019 and December 2022. Frailty was assessed using the Fried phenotype, categorizing patients into robust, prefrail, and frail subgroups. CHIP status was determined through targeted gene sequencing of peripheral blood, stratifying patients into No CHIP (VAF < 2%), Small CHIP (VAF 2%-<10%), and Large CHIP (VAF ≥ 10%) subgroups. All patients were systematically followed up until June 30, 2024. The primary outcome was the incidence of MACE, which was a composite of renal function deterioration (RFD), initiation of renal replacement therapy, renal artery revascularization, nonfatal myocardial infarction, hospitalization for heart failure, nonfatal stroke, and cardiorenovascular death. We employed Cox proportional hazards models, Kaplan-Meier survival analysis, and heatmaps to explore the combined impact of frailty and CHIP on MACE risk.
Results:
The mean age of the patients was 68.3 years. Of the cohort, 64.6% had no CHIP, 26.8% had Small CHIP, and 8.6% had Large CHIP. Frail patients showed a higher prevalence of CHIP, particularly in the Small (34.7%) and Large (10.2%) CHIP categories. During a median follow-up of 32 months, 54 MACE occurred. Kaplan-Meier survival curve revealed that frailty was associated with a higher incidence of MACE (35.7% in frail vs. 29.5% in prefrail vs. 24.6% in robust, P = 0.045) and RFD (16.3% in frail vs. 11.5% in prefrail vs. 7.7% in robust, P = 0.034). Patients with Large CHIP experienced significantly higher rates of MACE (60.0% vs. 36.2% in Small CHIP vs. 24.8% in No CHIP, P = 0.004) and RFD (26.7% vs. 14.9% in prefrail vs. 8.0% in robust, P = 0.019). Findings for RFD appeared to be consistent with those for MACE. Frailty and CHIP status showed independent contribution to overall risk. The greatest spread for MACE and RFD risk was obtained in models that incorporated frail and Large CHIP.
Conclusion:
Frailty and CHIP, independently and jointly, contribute to a significantly higher risk of MACE and RFD in elderly patients with severe ARAS undergoing stenting. These findings highlight the necessity for integrated risk stratification and targeted management strategies in this high-risk population.
Challenges in reducing high grand multiparity rates in Ethiopia: EDHS data 2000-2019 toward Sustainable Development Goals 2030: Using multilevel model approach
Authors: Dibaba Diriba , Charkos Tesfaye Getachow
Published: November 2024

Background
One of the Sustainable Development Goals (2030) focuses on reducing the total fertility rate. Reducing grand multiparity in Ethiopia remains a challenge. Understanding the underlying factors that contribute to this issue is crucial for explaining why grand multiparity remains prevalent despite various health interventions and socio-economic progress.
Methods
A community-based cross-sectional study was conducted using data from the Ethiopian Demographic and Health Survey 2000–2019. Multilevel multivariable logistic regression analysis was employed to model the hierarchical data. The final findings were presented as adjusted odds ratios (AOR) with 95% confidence intervals (CI). A p-value < 0.05 was considered statistically significant.
Result
The trend analysis of grand multiparity over 19 years in Ethiopia shows no significant change (linear trend = 1.23, p = 0.27). The prevalence of grand multiparity slightly decreased from 72% in the 2000 EDHS to 66.3% (95% CI: 65.7% − 66.96%) according to the mini EDHS 2019 data. Among individual-level variables, the following were significantly associated with grand multiparity: wealth index, currently married, maternal education, non-family planning, short-acting family planning users, age at first birth < 18 years, and short birth intervals. Among community-level variables, being a rural resident was significantly associated with grand multiparity.
Conclusion
A 19-year trend analysis in Ethiopia shows no significant change in grand multiparity rates, with a slight decrease from 72% in 2000 to 66.3% in 2019. Significant factors associated with grand multiparity include wealth index, marital status, educational level, family planning utilization, age at first birth, birth interval, and place of residence.
Training Physicians to Recognize and Diagnose Rare Diseases Using an Online Serious Game
Authors: Spans An-Sofie , Buffel Connor , Claes Kathleen J , Dierickx Daan , Lambert Catherine , Luypaert Michelle , Morelle Johann , Maertens Chantal
Published: November 2024

Background
Increasing physicians’ awareness and knowledge of rare diseases may positively impact their ability to recognize and diagnose these conditions timely. Here, we developed a novel evidence-based online serious game about the differential diagnosis of thrombotic microangiopathies, which encompass a group of life-threatening conditions for which early recognition is critical for appropriate management.
Methods
An online serious game was developed in which participants were given a fixed amount of time to diagnose three virtual patient cases with rare diseases. Two versions were created, a 45-minute version (three cases) and a 15-min version (one case). A cross-sectional, observational study of the serious game was conducted online from October 2022 to April 2024. Participants included physicians and medical students who accessed the online serious game. The main outcomes included participant accessibility, satisfaction, and perceived change in knowledge of thrombotic microangiopathies.
Results
Participants who accessed the serious game were from 45 countries (n = 926) and chiefly from Europe (87%) followed by the U.S. & Canada (6%). Participants’ medical experience ranged from medical students or graduates (32%) to physicians with ≥ 15 years of experience (17%). At least 8 medical specialties accessed the serious game. Out of 926 participants, 716 tried to diagnose a patient case and 597 completed the serious game. Ninety-three percent (179/193) of participants answering a post-game question reported an improved or substantially improved knowledge of these rare diseases. The mean likelihood of recommending the serious game to a colleague was 8.1/10.
Conclusions
In this study, an online evidence-based serious game was widely accessed and improved the knowledge of a diverse group of physicians. Online serious games offer potential to train physicians to recognize rare diseases. Additional evidence from other diseases could further support and expand the use of this medium.
Clinical trial number:
Not applicable
Trends in maternal mortality and stillbirths by county in health facility data, Kenya, 2011-2022
Authors: Muthee Rose , Mutua Martin , Kiarie Helen , Kagiri Hannah , Serem Edward , Muchemi Simon , Wabwire Scola , Boerma Ties
Published: November 2024

Background: Reports on maternal deaths and stillbirths in health facilities are a critical but underutilized source of information to monitor the quality of care. In addition, with increasing coverage of deliveries by health facilities, such data can provide population estimates of maternal mortality and stillbirth rates. Data quality concerns, however, have often deterred use of facility data.
Methods: Data from the routine monthly reporting system in Kenya were used to assess levels and trends in maternal mortality and stillbirth rates in 47 counties from 2011-2022. Data quality was assessed using multiple methods, including consistency of annual reporting of live births, stillbirths and maternal deaths by counties, plausibility of the ratio of reported stillbirths to maternal death, the county institutional mortality in comparison to delivery coverage, socioeconomic development and health system characteristics and the plausibility of estimated population levels of mortality.
Results: Institutional live birth coverage increased to 87.8% in 2021-2022, ranging from 49% to 99% in counties. Kenya and 39 of its 47 counties experienced a decline in institutional maternal mortality ratio and stillbirth rate during the study period 2011-2022. The maternal mortality decline stagnated from 2018 and was 99 maternal deaths per 100,000 live births in 2022. Consistency of reported data by counties was good over time but several indicators suggest that maternal death reporting was incomplete and more so in less-developed counties. Estimates of the population maternal mortality ratio were much lower than global estimates or census results, while the stillbirth rates were consistent.
Conclusion: The health facility data on maternal death and stillbirths are an important data source for monitoring national and subnational institutional maternal mortality and stillbirth rates and can also inform population estimates. Systematic sustained assessment of reporting completeness will be critical to achieve the full potential of facility data-derived mortality monitoring.
The Role of Format Familiarity and Semantic Transparency in Chinese Reading: Evidence from Eye Movements
Authors: Chen Mingjing
Published: November 2024

The present study examined the role of format familiarity and semantic transparency in Chinese reading, which could reflect the segmented strategy and word-processing characteristics in Chinese reading. Forty undergraduates read Chinese in familiar and unfamiliar formats, containing the target words divided into semantically transparent and semantically ambiguous words. We used the EyeLink 1000 to measure readers’ eye movement index, which can reflect reading processing characteristics. There are several key findings: (1) the familiarity with the text format affected the Chinese reading performance. Chinese readers read shorter fixation times, higher skipping rates, and closer to the word center under left-to-right format; (2) semantic transparency affects segmented strategy and lexical processing in Chinese reading. Chinese readers read shorter fixation times, higher skipping rates, and closer to the word center under semantically transparent words; (3) among the early eye-tracking indexes, the interaction was significant. The left-to-right transparency effect was significant, whereas the right-to-left effect was not. The semantic transparency effect is an essential indicator of vocabulary recognition. The early significant interaction and the late insignificant interaction reflect the separation of Chinese word segmentation and word recognition.
Association Analysis of Maize Stem Vascular Bundle Micro-characteristics with Yield Components Based on Micro-CT and Identification of Related Genes
Authors: Wang Yanru , Zhang Ying , Huang Guanmin , Wang Jinglu , Lv Lujia , Zhao Shuaihao , Lu Xianju , Zhang Minggang , Guo Minkun , Zhang Changyu , Men Qingmei , Guo Xinyu , Zhao Chunjiang
Published: November 2024

Background
The distribution pattern of vascular bundles and microstructure characteristics significantly impact crop yield. Previous studies have primarily focused on investigating the micro-phenotypic characteristics and genetic regulation of individual internode, neglecting the exploration of the relationship between different internodes.
Results
This study, for the first time, comprehensively analyzed multi-scale phenotypic information of stem cross-sections, zones, and vascular bundles in three different internodes (basal third internode, BTI; ear internode, EI; highest internode, HI) of 268 inbred maize lines using Micro-CT scanning. Key findings revealed that BTI and EI exhibited more stable microscopic characteristics than HI. Cross-section and inner zone traits correlated with kernel number per row (RW_N). Inbred lines with thicker BTI and EI stems, larger inner zones, and sparsely distributed but larger vascular bundles demonstrated better yield components, including higher RW_N, kernel weight per ear (ER_KW), and grain weight per ear (ER_GW). Genome-wide association analysis identified 51, 37, and 12 candidate genes in BTI, EI, and HI, respectively, encoding metabolic enzymes, structural proteins, and components involved in plant signal transduction and stress response. Notably, the candidate gene Zm00001d035089, identified in both BTI and EI, is hypothesized to regulate radial growth of maize stalks and influence the anatomical structure of stalk tissues and vascular bundles.
Conclusions
This study provides an important theoretical basis and genetic resources for accurately identifying different internode phenotypes of maize stalks, potentially advancing the selection of high-yielding, high-quality maize varieties.
BioKMS: A Biomedical and Space Science Knowledge Mining System Based on Knowledge Graph and Link Prediction Model
Authors: Wen Yanzhong , Han Yuexia , Sun Jianfei
Published: November 2024

Background: In recent years, Artificial Intelligence (AI) technology, represented by deep learning, has flourished, widely empowering various scientific research. At present, it is worth-noting that biological science and computer technology are developing rapidly and massive biomedical data are accumulating, accompanied by the development of advanced AI algorithms and nascent AI-enabled biomedical research opportunities. Researchers learn to combine AI with real biomedical scenarios, expecting to improve the efficacy of research. However, it is a daunting task for most biomedical researchers, who might lack the knowledge of computer science, to use AI to assist work. Therefore, an open tool integrating advanced AI methods is needed to liberate biomedical researchers from “daily chores” and assist scientific research progress. It is desirable that researchers with little knowledge of AI may still make good use of AI technology to explore scientific clues and promote scientific research.
Results: Here, armed with the AI technology, we develop Biomedical Knowledge Mining System (BioKMS), a web-based biomedical knowledge mining system encompassing both biomedical and space science knowledge, which demonstrates the knowledge graph and link prediction model. More specifically, the knowledge mining refers to the use of effective methods to mine the internal relationships contained in a large number of data, providing scientific clues for biomedical studies. On the one hand, BioKMS enables researchers to explore the links between domain entity and obtain the visual presentation of the knowledge graph, intuitively capturing the domain-related information; On the other hand, researchers can carry out the link prediction with the encapsulated SOTA deep learning model, which predict the potential association, further revealing potential research objects and assisting decision-making by AI. In addition, in order to improve the timeliness and stability of the data, BioKMS provides flexible data feedback interface that researchers can submit new data, thus cementing the optimization of the subsequent algorithm model.
Conclusions: In this study, we proposed a novel system to help biomedical scientists use AI to predict and discover potential biological mechanisms. In addition to serving the traditional ground biomedical research, the system integrates the knowledge graph and deep learning model of space life science field to assist the space biomedical research. The BioKMS can be accessed via this URL: http://8.130.71.195:5000/.
Autism spectrum disorders: an impaired glycolysis induces an ATP deficiency and a reduced cell respiration
Authors: Féron Francois , Caillol Damien , Fourel Laure , Leimkuhler Silke , Iranzo Olga , Gepner Bruno , Capraz Gaelle Guiraudie
Published: November 2024

In two previous studies, based on human olfactory ecto-mesenchymal stem cells (OE-MSC) of 11 patients with autism spectrum disorders (ASD) and 11 healthy individuals, we demonstrated that the lower abundance of the enzyme MOCOS (MOlybdenum COfactor Sulfurase) and its associated lower expression of the long non-coding RNA, COSMOC, induces neurotransmission and synaptic defects as well as an exacerbated oxidative stress sensitivity. To move a step further, we assessed whether these defects were associated to a disturbed mitochondrial homeostasis. For that purpose, we used cellular and molecular techniques to quantitfy mitochondrial metabolism and biogenesis, ATP production and cell respiration in OE-MSCs from the 8 ASD patients of the cohort that display the most severe symptoms. We show here that OE-MSCs from ASD patients, when compared to control individuals, display i) a reduced expression/abundance of glycolysis-associated transcripts and metabolites, ii) an overall reduced ATP, mainly due to the impaired glycolysis, iii) a reduced basal cell respiration and iv) a modified mitochondrial network. These results are in accordance with some of our previously published data and may explain some of the symptoms – stress, overarousal, seizures, increased or decreased muscle tone, fatigue - observed in autism spectrum disorders.
The Mediating Role of Benefit Finding in the Relationship Between Family Care and Self-Management Behaviors in Patients with Chronic Kidney Disease
Authors: Yang Weiwei , Zhou Xuhua , Fu Chengxin , Yuan Huaihong
Published: November 2024

This study aimed to investigate the mediating role of benefit finding on the relationship between family care and self-management behaviors in patients with chronic kidney disease (CKD) to inform improvements in patients' self-management behaviors. This survey was conducted from November 2023 to February 2024 with a cross-sectional design and convenience sampling among patients with chronic kidney disease in a tertiary care hospital in Chengdu City. Participants were prompted to complete a demographic questionnaire, the Family APGAR Index (APGAR), the Benefit Finding Scale (BFS), and the Chronic Disease Self-management Behavior Measuring Scale (CDSMBMS). The analysis of the data was carried out using SPSS 29.0 and AMOS Statistics 28.0. A total of 529 patients were enrolled in this research, with a majority of females (53.1%). The mean total score of CDSMBMS was 19.19 ± 7.54. Family care and benefit finding were significantly positively associated with self-management behaviors (all p < 0.01). In addition, benefit finding fully mediated the association between family care and self-management behaviors (β = 0.258, p = 0.000, 95% CI = 0.184–0.342). Our findings indicate that benefit finding plays a full mediator in the relationship between family care and self-management behaviors among patients with CKD. Thus, healthcare professionals should develop evidence-based interventions in future studies to enhance family care and benefit finding to promote self-management behaviors in people with CKD.
Enhanced Multi-Label Classification of Dental Conditions Using Deep Learning and Attention Mechanisms on Panoramic X-rays
Authors: Raeisi Zahra , Rokhva Shayan , lashaki Reza ahmadi
Published: November 2024

Objective
The aim of this study is to improve the multi-label classification of four dental conditions—fillings, cavities, implants, and impacted teeth—using panoramic dental X-ray images. The goal is to leverage advanced deep learning techniques combined with attention mechanisms to achieve higher diagnostic accuracy.
Methodology
We used a dataset of 1,512 precisely annotated panoramic X-ray images, applying advanced preprocessing techniques like brightness adjustment, contrast enhancement, and masking to optimize image quality. Our approach centered on Convolutional Neural Networks (CNNs), both independently and alongside traditional classifiers such as Support Vector Machines (SVM), Random Forest (RF), and Decision Tree (DT). We further enhanced the CNNs by integrating attention mechanisms and fine-tuning pre-trained models, including VGG16, ResNet50, and Xception. Model performance was thoroughly evaluated using accuracy, precision, recall, F1 score, and Hamming loss metrics.
Results
The results indicate that preprocessing significantly enhances classification performance, with the ROC AUC improving from 0.6753 without preprocessing to 0.7933 with preprocessing. Among the traditional classifiers evaluated, Random Forest (RF) demonstrated the most robust performance, achieving the highest accuracy of 0.4272, a precision of 0.8567, and an F1 score of 0.7431. However, ResNet50 outperformed all other models, including these classifiers, with an accuracy of 0.8862, a ROC AUC of 0.9935, and an F1 score of 0.9634, alongside the lowest Hamming Loss of 0.0342. These findings confirm the effectiveness of combining preprocessing techniques with advanced model architectures for improved diagnostic outcomes.
Conclusion
The integration of deep learning models with traditional machine learning classifiers offers a robust and effective solution for the automatic classification of dental conditions using panoramic X-ray images. The results suggest that these hybrid approaches can be valuable in clinical practice, providing more accurate and reliable diagnostics.
Extremely large magnetoresistance in high quality magnetic Fe2Ge3 single crystals
Authors: Ge Jun-Yi , Chen Yuanqiao , Wu Weibin , He Yaxun , Zhang Jiaying , He Tian , Li Zhe , Xiao Qiling
Published: November 2024

Extremely large magnetoresistance (XMR) is typically observed in topological materials as associated with factors such as high mobility carriers and electron-hole compensation. However, its occurrence in magnetic materials is rather rare due to the stability of the electron spin in magnetic fields. In this study, the synthesis of high-quality single crystals of Fe2Ge3 with the highest residual resistivity ratio (RRR = 4778) has allowed to explore its intrinsic magnetic and electrical transport properties, revealing a narrow-gap semiconductor nature with a remarkably high XMR of 2057% at 1.8 K and 12 T. Moreover, Fe2Ge3 exhibits weak ferromagnetism up to room temperature, which is poised to bridge the gap between magnetism and XMR. These findings not only advance our understanding of Fe2Ge3, but also open new avenues for the development of spintronic devices and other technologies based on magnetic semiconductors.
Transient Epileptic Amnesia Triggered by Eating: A Case of Reflex Temporal Lobe Epilepsy
Authors: Ranpariya Margil , Piekut Thomas , Li Ping
Published: November 2024

Background:
Reflex epilepsies are characterized by seizures triggered by specific stimuli such as light, stress, or eating. Recent research suggests a continuum between reflex and spontaneous seizures. Eating epilepsy, where eating triggers seizures, is a complex condition often seen in individuals with other types of epilepsy. This case report is novel as it describes transient epileptic amnesia (TEA) induced by eating, a previously unreported phenomenon. This report adds to the sparse literature on reflex eating epilepsy and TEA by detailing the patient’s seizure semiology and electroencephalographic findings.
Case Presentation:
A 25-year-old left-handed female with a family history of epilepsy began experiencing seizures in January 2023. Her seizures, mostly triggered by eating, are preceded by a change in taste and an indescribable aura. During seizures, she becomes forgetful and confused, giving inappropriate responses without losing consciousness or showing motor manifestations. The seizures, lasting less than a minute, occur weekly despite treatment with levetiracetam and lamotrigine. Her brain MRI was normal, and a routine EEG showed frequent left temporal sharp waves without ictal events. During an EMU admission, interictal EEG showed frequent sharp waves over the left temporal region. She had four clinical seizures with left temporal onset, all provoked by eating. She experienced parageusia at seizure onset, followed by an inability to name food or objects, but could speak and follow commands, excluding ictal aphasia. Postictally, she recalled all events. All seizures were recorded off antiseizure medications.
Conclusions
This case highlights the novel presentation of TEA induced by eating, expanding the understanding of reflex epilepsies. The detailed seizure semiology and EEG findings contribute to the sparse literature on this condition, emphasizing the need for further research into the mechanisms and management of reflex eating epilepsy and TEA.
Prevalence and Antibiotic Resistance Profile of ESKAPE Pathogens in the Neonatal Intensive Care Unit of the Women and Newborn Hospital in Lusaka, Zambia
Authors: Namukonda Sharon , Shawa Misheck , Siame Amon , Mwansa James , Gina Mulundu
Published: November 2024

Background: The hospital environment serves as a significant reservoir of microorganisms, including multidrug-resistant (MDR) pathogens, which can lead to in-patient contamination and healthcare-associated infections (HAIs). MDR bacteria are predominantly found in Neonatal Intensive Care Unit (NICU) due to the frequent use of invasive medical devices, the variety of medical procedures performed, and the prolonged antibiotic treatments required by critically ill neonates. These factors, along with extended hospital stays, create an environment that fosters the development of MDR infections. Key pathogens involved in NICU-acquired infections such as E. faecium, S. aureus, K. pneumoniae, A. baumannii, P. aeruginosa, and Enterobacter sp., are collectively known as ESKAPE pathogens. They are known for their antibiotic resistance, posing challenges for treatment.
Methods: This was a cross-sectional study conducted from April 2023 to April 2024. The study aimed at investigating the contamination and antibiotic resistance profiles in the NICU at the Women and Newborn Hospital. A total of 344 Samples were collected from different inanimate objects including baby bodies, baby tubes, and mother's hands using sterile moistened swabs. Bacterial isolates were identified using standard microbiological procedures and antimicrobial susceptibility testing was performed using the Kirby-Bauer method.
Results: bacterial contamination rate was (93.9%), with 25.7% of samples containing ESKAPE pathogens. K. pneumoniae was the most prevalent bacteria with the most isolates found on mother’s hands. Antimicrobial susceptibility varied among ESKAPE pathogens with a total of 75 (90%) of the 83 ESKAPE isolates MDR. Gram-negative pathogens were highly susceptible to gentamicin and amikacin but showed significant resistance to
aztreonam, piperacillin tazobactam, and meropenem. Gram-positive pathogens were susceptible to gentamicin, linezolid, vancomycin, and clindamycin, but resistant to penicillin, cefotaxime, and erythromycin.
Conclusion: There was a high bacterial contamination and MDR ESKAPE pathogens in the NICU. Given that most of the isolates were susceptible to gentamicin and amikacin, there should be continued monitoring and judicious use of gentamicin and amikacin to curb antibiotic resistance development.
Enhancing Profitability of Complex Generics: A Comparative Study of Market Dynamics in United States and India
Authors: Sreed Amatha , R Vani Lakshmi , Janodia Manthan D , Ligade Virendra S
Published: November 2024

Complex generics are becoming the more widely manufactured pharmaceutical drug, giving stakeholders opportunities and challenges to grow. A 4Ps analysis (Product, Price, Place, and Promotion) study was conducted quantitatively to know the market share of complex generics in the United States and India. SWOC (Strength, Weakness, Opportunities, and Challenges) analysis is a method of analyzing internal and external strengths to develop strategic planning and management techniques to achieve a good marketing position in case of complex generics. The increased demand for complex generics, driven by their affordability compared to name-brand equivalents is highlighted in the strength section. The regulatory obstacles and complexity of the manufacturing process present significant barriers in the weaknesses segment. The opportunities section looks at ways to grow the industry, such as developing strategic relationships with new technologies like continuous manufacturing procedures and model informed formulation development. Lastly, the challenges faced by complex generic companies. Maintaining bio-equivalency standards and ensuring quality control are major issues affecting customer confidence and industry penetration. This article highlights the dynamic nature of the complex generics market and provides stakeholders with helpful information for making strategic decisions to effectively navigate the complex nature of this particular market sector and achieve long-term growth.
Efficacy and safety of diffusing alpha-emitter radiation therapy (DaRT) for head and neck cancer recurrence after radiotherapy
Authors: Yoshimura Ryo-ichi , Toda Kazuma , Watanabe Hiroshi , Miura Masahiko , Notake Ryoichi , Murakami Naoya , Igaki Hiroshi , Nakamura Satoshi , Umezawa Rei , Kadoya Noriyuki , Jingu Keiichi , Itami Jun
Published: November 2024

Background
To evaluate the efficacy and safety of diffusing alpha-emitter radiation therapy (DaRT) for recurrent head and neck cancer (rHNC) after radiotherapy.
Methods
This study was a multicenter prospective clinical trial. Eligibility criteria included all patients with biopsy-proven rHNC, history of radiotherapy. The efficacy of DaRT was evaluated in terms of tumor shrinkage after 10 weeks of DaRT seed implantation. To assess safety of DaRT, radioactivity levels in blood and urine were measured, and incidence and grade of adverse events (AEs) were evaluated.
Results
Between 2019 and 2021, DaRT was performed in 11 patients and completed in 10 patients with 11 tumors. The tumor sites included the tongue (n = 3), buccal mucosa (2), lips (2), floor of the mouth (1), soft palate (1), nose (1), and subcutaneous layer (1). Nine tumors were confirmed to be squamous cell carcinoma, and the remaining two tumors were basal cell carcinoma and neuroblastoma. Complete response (CR) and partial response (PR) were observed in three and six patients, respectively. The response rate was 81.8%. The maximum average radioactivity levels in blood and urine were 42.5 Bq/cm3 and 8.4 Bq/cm3, respectively, on the second day after implantation. Forty AEs were observed in all 11 patients; they included 22 Grade 1 AEs, 16 Grade 2, and two Grade 3 (hypertension and seed remnants).
Conclusion
The initial response of rHNC after radiotherapy to DaRT was favorable, and the incidence and grade of AEs were acceptable, as compared to existing therapies.
Subclassification of second-degree tears at delivery: creation and reported outcomes
Authors: UUSTAL EVA , Edqvist Malin , Bonnevier Anna , Olsson Ann , Nilsson Marianne , Orrskog Monica , Rotstein Emilia , Tegerstedt Gunilla , Bolin Marie Vikström
Published: November 2024

Background:
Perineal tears at delivery are common. The current WHO classification system compacts all the varying extents of second-degree tears into one code. Some tears lead to long-term injuries. The correct identification and classification of disease is necessary for correct clinical management as well as for research. Regulatory standards govern care practices. This article describes the process of creating and testing new subclassifications for second-degree tears at delivery.
Methods:
The development and implementation of new subclassifications of second-degree perineal tears after delivery in Sweden are described. The new classification was tested for incidence and relevance via the national perineal laceration register (PLR) in 11203 women with prospectively recorded second degree tears.
Results:
Second-degree tears after delivery are subdivided into four subgroups according to the anovaginal distance and the extent in length and depth of the largest perineal/vaginal tear, which can be combined with uni-or bilateral levator ani avulsion. Women with larger second-degree tears were more likely than women with smaller tears to report complications after eight weeks (OR 1.41 CI 1.21–1.64, p < 0.001) and one year (OR 1.27, CI 1.1–1.46, p < 0.001).
Conclusion:
Detailed subclassifications of perineal and vaginal tears are implemented in the Swedish ICD-10 coding system and Swedish national registers. The outcomes after second-degree tears differ according to their extent, which corroborates the classification rationale. These subclassifications can be used in studies of preventive measures, treatment and patient-reported outcomes and experiences taking into account the extent of second-degree perineal tears at delivery.
Trial registration
Data regarding women were prospectively collected from the National perineal laceration register (PLR) from January 1, 2021, to December 31, 2022.