bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Role of Vitamin C Supplementation in Preventing Severity Progression in Mild and Moderate COVID-19 Patients at Universitas Airlangga Hospital
Authors: Arifandi Yoga Akbar , Rosyid Alfian Nur , Indiastuti Danti Nur , Effendi Wiwin Is 
Published: February 2025

Highlights:

The administration of different dosages of vitamin C significantly yields different outcomes in preventing the progression of disease severity.

Most patients with mild and moderate coronavirus disease (COVID-19) did not demonstrate an escalation in disease severity.

Abstract
Introduction:Coronavirus disease (COVID-19) is an infectious disease that increases pro-oxidant elements and decreases antioxidants. Vitamin C functions as a potent antioxidant in humans due to its electron-donating properties. This study aimed to explain the impact of three distinct vitamin C supplementation dosages in preventing disease severity progression among mild and moderate COVID-19 patients.
Methods:This retrospective study used secondary data from 100 medical records (n=100). The subjects were classified into three categories based on the vitamin C dosage. The data were analyzed using the International Business Machines Corporation (IBM) Statistical Package for Social Sciences (SPSS) version 26.0 for Windows.
Results:Most of mild and moderate COVID-19 patients (78%) did not experience increased disease severity. Vitamin C supplementation significantly demonstrated a different outcome in preventing disease severity progression among the three groups (p=0.018). However, it did not significantly show any difference in reducing the duration of hospital stay (p=0.680).
Conclusion:The impact of vitamin C supplementation on COVID-19 severity appeared to vary depending on the dosage administered. However, it did not affect the duration of the hospital stay.
HUBUNGAN ANATARA BUDAYA ORGANISASI DENGAN KEPUASAN KERJA GURU HONORER DI SDN KECAMATAN PILOGADUNG JAKARTA TIMUR
Authors: Annisa Siti , Karneti Neti , Santosa Heru 
Published: February 2025

ABSTRAK
Tujuan penelitian ini adalah untuk menemukan adanya pengaruh atau hubungan antara variabel X dan variabel Y. Dengan kata lain, penelitian metode survey ini bertujuan untuk mendapatkan data dari tempat yang alamiah (bukan buatan), dengan melakukan pengumpulan data untuk memperoleh gambaran lebih jelas tentang hubungan antara budaya organisasi dengan kepuasan kerja guru honorer SDN di Kecamatan Pulogadung, Jakarta Timur.
Metode yang digunakan dalam penelitian ini adalah metode survey. Hasil dari penelitian menunjukkan bahwa, (1). Budaya organisasi yang berjalan di Sekolah Dasar Negeri Kecamatan Pulogadung sudah cukup. Hal ini dapat dilihat dari sebagian besar guru honorer mendapatkan skor di wilayah rata-rata atau kategori tingkat rata-rata sedang, yaitu terletak pada rentang 148 â€“ 179, sebanyak 42 guru atau sebesar 57.53%.
(2) Kepuasan kerja yang dimiliki guru honorer Sekolah Dasar Negeri di Kecamatan Pulogadung sudah cukup. Hal ini dapat dilihat dari sebagian besar guru honorer mendapatkan skor di wilayah rata-rata atau kategori tingkat rata-rata sedang, yaitu terletak pada rentang 150 â€“ 174, sebanyak 51 guru atau sebesar 69.86%. (3) Terdapat hubungan yang positif antara budaya organisasi dengan kepuasan kerja guru honorer SD Negeri di Kecamatan Pulogadung, Jakarta Timur. Hal ini berarti semakin kuat budaya organisasi maka semakin tinggi kepuasan kerja guru honorer SD Negeri di Kecamatan Pulogadung, Jakarta Timur.
Public Health Communication Approaches for Building Common Ground
Authors: Chou Wen-Ying Sylvia , Iles Irina A. , Gaysynsky Anna , Klein William M. P. 
Published: February 2025

Changes in the information landscape and increasing polarization in society over recent decades have made it more difficult to establish common ground, which poses a profound challenge to effective health communication and public health in general. We highlight the importance of assessing health communication approaches for their potential to bring people together and reduce polarization. We outline several communication approaches that use existing common ground (e.g., appeals to shared values, shared identity, common goals, social norms) or cultivate common ground (e.g., dialogue to bridge divides, trust-focused communication, efforts to humanize scientists), positing that by furthering common ground, these approaches can serve to increase a shared understanding of contentious health topics and foster greater trust in science and evidence-based health information. We end by cautioning against the use of approaches that may be shown to be effective on some measures but may also inadvertently create further polarization, such as the use of certain fear appeals, disparaging humor, or stigmatizing language. ( Am J Public Health. Published online ahead of print February 6, 2025:e1–e8. https://doi.org/10.2105/AJPH.2024.308003 )
Decoding MUC1 and AR axis in a radiation-induced neuroendocrine prostate cancer cell-subpopulation unveils novel therapeutic targets
Authors: Jerónimo Carmen , Macedo-Silva Catarina , Castro Ângela , Carriço Iris , Lencart Joana Lencart , Carneiro Isa , altucci lucia , Lobo Joao , Miranda-Gonçalves Vera , Henrique Rui , Correia Margareta 
Published: February 2025

Abstract

Despite initial efficacy of radiotherapy (RT), with or without concurrent androgen-deprivation, in prostate adenocarcinoma (PCa), neuroendocrine prostate cancer (NEPC) emerging from disease progression is a highly aggressive malignancy for which standard therapies are mostly ineffective. Although oncogenic MUC1-C is a leading driver of NEPC and of PCa lineage plasticity, its putative role in response to RT, including RT-induced neuroendocrine transdifferentiation (tNED), has not been explored. We thus aimed to explore the interplay between androgen receptor (AR) signaling and MUC1 in PCa progression to NEPC. Firstly, using a radioresistant PCa cell line (22Rv1-RR) we demonstrated that epigenetic suppression of AR signaling caused MUC1/MUC1-C upregulation, which seems to be activated through γSTAT3. MUC1 activation positively associated with increased expression of neuroendocrine-related markers, including CD56, chromogranin A, synaptophysin and INSM transcriptional repressor 1 (INSM1). In NEPC tissues and comparing to prostate adenocarcinoma, MUC1 was upregulated and negatively correlated with AR, which was suppressed. Finally, proteomic analyses revealed that MUC1 activation upon RT selective pressure led to acquisition of stemness features, induction of epithelial to mesenchymal transition, and enhancement of basal cell-like traits. Notably, MUC1 knockdown (KD) significantly boosted response to RT in both 22Rv1-RR and DU145 cell lines. Moreover, AR-induced overexpression in PC3 cell lines entailed MUC1 downregulation, resulting in attenuated neuroendocrine (NE) traits and radioresistance, as well as impaired cell migration and invasion capabilities. Collectively, these results highlight MUC1 as a promising radiosensitization target and may ultimately help overcome therapy resistance and NEPC progression.
A type 1 diabetes prediction model has utility across multiple screening settings with recalibration
Authors: Templeman Erin L. , Ferrat Lauric A. , Parikh Hemang M. , You Lu , Triolo Taylor M. , Steck Andrea K. , Hagopian William A. , Vehik Kendra , Onengut-Gumuscu Suna , Gottlieb Peter A. , Rich Stephen S. , Krischer Jeffery P. , Redondo Maria J. , Oram Richard A. 
Published: February 2025

Abstract

Background
Accurate type 1 diabetes prediction is important to facilitate screening for pre-clinical type 1 diabetes to enable potential early disease-modifying interventions and to reduce the risk of severe presentation with diabetic ketoacidosis. We aimed to assess the generalisability of a prediction model developed in children followed from birth. Additionally, we sought to create an application for easy calculation and visualization of individualized risk prediction.
Methods
We developed and refined a stratified prediction model combining a genetic risk score, age, islet autoantibodies, and family history using data from children followed since birth by The Environmental Determinants of Diabetes in the Young (TEDDY) study. We tested the validity of the model through external validation in the Type 1 Diabetes TrialNet Pathway to Prevention study, which conducts cross-sectional screening in relatives of people with type 1 diabetes. We recalibrated the model by adjusting for baseline risk and selection criteria in TrialNet using logistic recalibration to improve calibration across all ages.
Results
The study included 7,798 TEDDY and 4,068 TrialNet participants, with 305 (4%) and 1,373 (34%) developing type 1 diabetes, respectively. The combined model showed similar discriminative ability in autoantibody-positive individuals across TEDDY and TrialNet (p = 0.14), but inferior calibration in TrialNet (Brier score 0.40 [0.38,0.43]). Adjustment for baseline risk and selection criteria in TrialNet using logistic recalibration improved calibration across all ages (Brier score 0.16 [0.14,0.17]; p < 0.001). A web calculator was developed to visualise individual risk estimates (https://t1dpredictor.diabetesgenes.org).
Conclusions
A stratified model of type 1 diabetes genetic risk score, family history, age, and autoantibody status accurately predicts type 1 diabetes risk, but may need recalibration according to screening stategy.
A 3-Phase Electrostatic Clutch with Variable Mechanical Impedance Control for Soft Robotic Systems
Authors: Bae Joonbum , Lee Dongyoung , Yu Heejin 
Published: February 2025

Abstract

Various studies have explored mechanical impedance control strategies in soft actuators to enhance stability and precision, as the nonlinear characteristics of soft materials frequently lead to unwanted oscillations. Among these approaches, electrostatic (ES) clutches have shown promise for achieving friction-based mechanical impedance control; however, conventional ES clutches are limited by issues such as residual charge accumulation and stick-slip behavior, which compromise force stability and reliability over time. To address these limitations, this study introduces a 3-phase ES clutch with variable mechanical impedance control, designed to enable continuous friction modulation and thereby reduce force degradation and oscillatory motion. Experimental validation was conducted through tensile tests and mechanical impedance applications in an MCK (Mass-Damper-Spring) vibration system, where the 3-phase ES clutch demonstrated stable friction characteristics without performance loss over repeated activations. When incorporated into a wearable assistive device, the clutch effectively delivered torque assistance for lower-limb movements, demonstrating its potential to achieve precise control of mechanical impedance in wearable systems. These findings suggest that the proposed 3-phase ES clutch offers a robust and adaptable solution for friction modulation and mechanical impedance in soft robotic and wearable systems, effectively addressing the key limitations of conventional ES clutch technology.
Accurate Prediction of Protein Complex Stoichiometry by Integrating AlphaFold3 and Template Information
Authors: Cheng Jianlin , Liu Jian , Neupane Pawan 
Published: February 2025

Abstract

Protein structure prediction methods require stoichiometry information (i.e., subunit counts) to predict the quaternary structure of protein complexes. However, this information is often unavailable, making stoichiometry prediction crucial for complexes with unknown stoichiometry. Despite its importance, few computational methods address this challenge. In this study, we present an approach that integrates AlphaFold3 structure predictions with homologous template data to predict stoichiometry. The method generates candidate stoichiometries, builds structural models for them using AlphaFold3, ranks them based on AlphaFold3 scores, and further refine predictions with template-based information when available. In the 16th community-wide Critical Assessment of Techniques for Protein Structure Prediction (CASP16), our method achieved 71.4% top-1 accuracy and 92.9% top-3 accuracy, outperforming other predictors in terms of the overall performance. This demonstrates the complementary strengths of AlphaFold3- and template-based predictions and highlights its applicability for uncharacterized protein complexes lacking stoichiometry data.
Bladder endometriosis in a patient with undirected manifestations, a rare case report.
Authors: Alhamid Ahmad 
Published: February 2025

Abstract

Key clinical message
Endometriosis is defined as the presence of functional glands and stroma of the uterus outside its cavity. It affects 10-20% of women of reproductive age. It can form in different body parts; the involvement of the urinary tract is rare (1% of all cases). We report here a case of a 37-year-old woman who presented to the clinic with urinary hesitancy, dysuria, suprapubic pain, and intermittent hematuria for a year, the patient experienced dysmenorrhea, irregular menstruation, dyspareunia, and pelvic pain from three years until now. According to the patient, these symptoms did not follow a specific pattern related to menstruation. The laboratory findings included hematuria and an International Normalized Ratio of 2.5, other investigations were within normal. The radiological investigations revealed a 3 cm mass on the posterior bladder wall extending towards the uterus, raising the possibility of a bladder mass or a uterine mass involving the bladder. Many differential diagnoses were made such as uterine mass, bladder neoplasm, bladder endometriosis, foreign body, and sarcoma. The surgical approach was indicated to excise the mass and know its nature. A solid mass was found on the posterior wall of the bladder, it was excised. The patient was discharged from the hospital after two days in a good situation and without complications. The histopathological examination of the excised masse revealed benign endometriosis. She was followed for two years postoperatively without any recurrence.
Changing patterns of the burden for atrial fibrillation /atrial flutter attributable to high systolic blood pressure in China From 1990 to 2021
Authors: Liu Bin , Huang Xiying , Hao Ziyong , Wang Jian , Fan Yiting , Shao Qin , Li Ruogu , He Ben , Jiang Lisheng 
Published: February 2025

Abstract

This study aims to investigate the changing patterns of the burden for atrial fibrillation (AF) /atrial flutter (AFL) attributed to high systolic blood pressure (SBP) in China. Data were sourced from the Global Burden of Disease (GBD) 2021 project. The disease burden of AF /AFL attributed to high SBP in China from 1990 to 2021 was analyzed stratified by sex and age, along with the trend prediction from 2022 to 2050. In China, between 1990 and 2021, the age-standardized mortality rate (ASMR) and the age-standardized disability-adjusted life years (DALYs) rate (ASDR) of AF/AFL attributable to high SBP in male have been increasing, and the trend will continue till 2050, whereas in female, the trend is slightly downward. Globally, however, the disease burden according to the estimated annual percentage changes (EAPC) of ASMR and ASDR presents a deducing trend in both genders between 1990 and 2021. The main driver of the increased DALY burden for AF /AFL attributed to high SBP is population aging. In China, the disease burden of AF/AFL attributable to high SBP in male has been increasing between 1990 and 2021 and keeps an upward trend till 2050, whereas in female, the trend is slightly downward. Our research implies that the public health decision-making needs to give sufficient attention to alleviate the burden of AF /AFL attributable to high SBP in China by promoting awareness, treatment, and controlling rates of hypertension, especially in male.
Unveiling the twin epidemics of hypertension and diabetes: a cross-sectional analysis of sex-specific prevalence, risk, and hotspots in India's epidemiological transition zones
Authors: Singh Nishikant , Shukla Sudheer Kumar , John Pratheeba , Bajpai Rimjhim , Chugh Prince , Sengupta Rituparna , Pushkar Ritesh Ranjan , Yadav Nishant , Singh Navin , Sadanandan Rajeev 
Published: February 2025

Abstract

Background
India is experiencing a rising prevalence of hypertension and diabetes, which often coexist and significantly contribute to non-communicable diseases (NCDs) burden. This study examines the sex-stratified prevalence, coexistence, and bidirectional risks of hypertension and diabetes across states with varying epidemiological transition levels (ETL) and identifies the high-burden hotspots.
Methods
This study analysed data from the fifth round of the National Family Health Survey, covering 614,426 women and 556,199 men aged 30 and above, with biomarker information on both diabetes and hypertension. Age-standardized prevalence was estimated, and adjusted risk ratios (ARR) were obtained on multivariate logit scale. Spatial autocorrelation and hotspot analyses were conducted using ArcGIS Pro to identify geographic clusters of twin epidemics.
Results
Hypertension prevalence was 30.3% (95%CI:30.14–30.48) among men and 28.6% (95%CI: 28.47–28.79) among women, whereas diabetes prevalence was at 19.7% (95%CI: 19.58–19.88) in men and 17.4% (95%CI 17.22–17.50) in women. Among individuals with diabetes, 43.1% (95%CI:42.67–43.53) of men and 43.9% (95%CI:43.48–44.36) of women had hypertension, while 28.1% (95%CI:27.75–28.37) of hypertensive men and 26.6% (95%CI: 26.33–26.93) of hypertensive women were diabetic. Hotspots for the twin epidemic of hypertension and diabetes were identified in coastal regions, including the southern states with high ETLs, as well as the northern states with high-ETLs and the northeastern region of the country. ARR estimates revealed that the risk of hypertension among individuals with diabetes was 39% higher (95% CI: 1.38–1.40) in men and 41% higher (95% CI: 1.39–1.42) in women as compared to individuals without diabetes. Similarly, the risk of diabetes among individuals with hypertension was 51% higher (95% CI: 1.49–1.52) in men and 55% higher (95% CI: 1.53–1.57) in women as compared to individuals without hypertension.
Conclusion
Our findings indicate that the presence of one condition significantly heightens the risk of developing the other, posing a major public health challenge in India, with marked geographic disparities. Achieving SDG target 3.4—reducing premature NCD mortality by one-third—requires addressing these intersecting epidemics as a unified entity for effective management. Targeted interventions should prioritise high-burden hotspots for integrated care strategies to mitigate the twin epidemics of diabetes and hypertension.
A Dynamic Weighted Fusion Model for Multimodal Sentiment Analysis
Authors: Yang Liang 
Published: February 2025

Abstract

Multimodal sentiment analysis (MSA) tasks leverage diverse data sources, including text, audio, and visual data, to infer users' sentiment states. Previous research has mainly focused on capturing the differences and consistency of sentiment information between different modalities, emphasizing cross-modal interaction, while neglecting the in-depth exploration of sentiment information within individual modalities. Additionally, existing MSA methods rarely examine the contribution of each modality to model performance. To address these issues, our paper proposes a dynamic weighted fusion model for multimodal sentiment analysis. Specifically, we first design a multi-level semantic enhancement module (MLSE) for each single mode, which replicates three copies of each mode, captures local and global emotional information using convolutional neural networks and attention mechanisms, and aims to extract semantic information from multiple perspectives and levels in a single mode. Subsequently, we design a genetic algorithm module suitable for multimodal sentiment analysis tasks, which dynamically calculates the optimal weight of each modality during model training and selects the modality with the maximum weight as the primary modality, while the other two are considered as auxiliary modalities. We conduct extensive experiments on three benchmark datasets (CMU-MOSI, CMU-MOSEI and CH-SIMS), and the results demonstrate that our proposed model outperforms state-of-the-art models across various metrics.
Unveiling the Complex Drivers of Particulate Matter in Saudi Arabia: Employing Machine Learning and Source Apportionment
Authors: Munir Said 
Published: February 2025

Abstract

Saudi Arabia's arid and semi-arid climatic conditions, characterized by limited rainfall and frequent sand and dust storms, lead to high background levels of atmospheric particulate matter (PM). As a result, PM is the primary pollutant of concern in Saudi Arabia affecting human health, ecosystems, and infrastructure. This study offers an innovative approach by combining advanced machine learning techniques with source apportionment methods to reveal underlying drivers of PM10 and PM2.5 levels across diverse sites in the Kingdom. The analysis revealed that PM10 and PM2.5 levels frequently exceeded air quality standards set by national and international organizations. Using PM2.5/PM10 ratios, PM sources were categorized as anthropogenic, dust storms, and mixed. On average, dust storms, anthropogenic sources, and mixed sources contributed 4%, 6%, and 90%, respectively. Extreme Gradient Boosting (XGBoost) models were developed for several sites, where PM10 was used as a modelled variable and PM2.5, WS, WD, NO, NO2, temperature, relative humidity, and atmospheric pressure as predictors. The contribution of each predictor was evaluated, among meteorological parameters wind speed demonstrated the highest contribution followed by relative humidity. Wind speed was found to positively correlate with particulate levels, which highlighted its vital role in resuspending and transporting dust particles from deserts, and elevating dust pollution in urban areas. Overall, NO and NO2 had a weak impact on PM10. Considering NO and NO2 as a surrogate for anthropogenic activities, especially for road traffic, we can conclude that the contribution of anthropogenic activities was minimal in controlling the levels of PM10. Considering the dominant role of meteorology, it is concluded that overall, the contribution of anthropogenic sources to PM is limited in Saudi Arabia and that a major fraction of PM comes from natural sources dominated by meteorological parameters, which should be excluded while assessing compliance with health threshold.