MicroRNA-221 protects myocardial contractility in myocardial ischemia/reperfusion injury through phospholamban. by Hongyu Li, Jimiao Qiu, Chang Liu, Guobing Yu, Danyu Wu, Yichun Chu, Kai Wang

“…Changes in the structural integrity of the mouse heart were identified with HE and MASSON staining, while TUNEL staining was used to evaluate the TUNEL-positive cells of cardiomyocytes. …”
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Best Practices in Organizing Digital Transformation: Qualitative Case Study in Dutch Hospital Care by Tanja Schiffelers, Kaya Kapteijns, Laura Hochstenbach, Bas Kietselaer, Esther Talboom-Kamp, Marieke Spreeuwenberg

“…To achieve high-quality hybrid care, hospitals must integrate digital health care seamlessly into existing workflows. …”
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Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer by Ayan Chatterjee, Michael A. Riegler, K. Ganesh, Pål Halvorsen

“…Abstract Heart Rate Variability (HRV) serves as a vital marker of stress levels, with lower HRV indicating higher stress. It measures the variation in the time between heartbeats and offers insights into health. …”
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Assessing the acceptability, affordability, and availability of teleoncology services among cancer patients: A cross-sectional study by Praveen Suthar, Swati Kharbanda, Nitin Kumar Joshi, Komal Parmar, Parthasarathi Ganguly

“…Settings and Design: A cross-sectional hospital-based study was carried out in Jaipur, Rajasthan. Methods and Material: This study was conducted from July 2024 to December 2024 using a semistructured questionnaire. …”
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Associations between Serum Ferritin Levels, Age-stratified Hematological Parameters, and Hemoglobin A2 Levels in Iraqi Beta Thalassemia Carriers by Zainab W. Al-Maaroof, Liqaa Mohammed Al Sharifi

“…METHODS: A cohort of 115 BTT carriers from Hilla City, Iraq, underwent hematological profiling using high-performance liquid chromatography, complete blood count, and serum ferritin quantification. …”
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Programmed cell death-driven remodeling of the melanoma microenvironment enables prognostic stratification and therapeutic prediction by Bo Hu, Shengnan Chai, Xuan Li, Qiang Zhang, Mei Jin, Long Zhang

“…Bulk RNA sequencing data were then integrated to identify PCD-related gene signatures, and machine learning models (LASSO, Ridge, XGBoost) were applied to develop a prognostic model. …”
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Development and validation of G2M signature-based prognostic model for stratifying colon cancer prognosis by Xin Song, Yan Dou, Xiaoyong Shen

“…Abstract Background We aimed to develop a predictive model integrating G2M-related genes to enhance the prognostication of colon cancer. …”
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Hybrid Neural Network Models to Estimate Vital Signs from Facial Videos by Yufeng Zheng

“…Facial videos are easily captured through various imaging devices like phone cameras, webcams, or surveillance systems. <b>Methods</b>: This study introduces a hybrid deep learning model aimed at estimating heart rate (HR), blood oxygen saturation level (SpO2), and blood pressure (BP) from facial videos. …”
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Family relationships and caregiver burden among family caregivers of patients with terminal cancer by Boram Kim, In Cheol Hwang, Hong Yup Ahn, Jae-woo Lee

“…Subgroup analyses revealed variations based on age, gender, caregiver relationship, social support level, resilience, and emotional distress. …”
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Comparison of life expectancy determinants among gulf cooperation council members by Anak Agung Bagus Wirayuda, Abdulaziz Al-Mahrezi, Mohammed Al-Azri, Moon Fai Chan

“…Furthermore, while HR and ME factors consistently influenced LE in each model, the differences in their impacts across the six countries did not show significant variations between each pairing. Conclusions Generally, the findings highlight the critical need for GCC countries to strengthen the integrated framework of SD, ME, and HR factors rather than relying solely on HR improvements. …”
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RECTAL CANCER INCIDENCE IN ARKHANGELSK REGION: TRENDS AND SHORT-TERM PROGNOSIS BY THE DATA OF THE ARKHANGELSK REGIONAL CANCER REGISTRY by D. M. Dubovichenko, М. Y. Valkov, K. V. Shelygin

“…The ARIMA model (autoregressive integrated moving average) was chosen to analyze the variations of the time series and to estimate prognosis. …”
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A Novel Methodology to Correct Chlorophyll-a Concentrations from Satellite Data and Assess Credible Phenological Patterns by Irene Biliani, Ekaterini Skamnia, Polychronis Economou, Ierotheos Zacharias

“…This study highlights the value of integrating statistical methods with remote sensing data for accurate, long-term monitoring of water quality in aquatic ecosystems.…”
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Lightweight and efficient skeleton-based sports activity recognition with ASTM-Net. by Bin Wu, Mei Xue, Ying Jia, Ning Zhang, GuoJin Zhao, XiuPing Wang, Chunlei Zhang

“…Skeletal data has emerged as a robust modality for HAR, overcoming challenges such as noisy backgrounds and lighting variations. However, current Graph Convolutional Network (GCNN)-based methods for skeletal activity recognition face two key limitations: (1) they fail to capture dynamic changes in node affinities induced by movements, and (2) they overlook the interplay between spatial and temporal information critical for recognizing complex actions. …”
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Single-cell transcriptomic profiling reveals the heterogeneity of epithelial cells in lung adenocarcinoma lymph node metastasis and develops a prognostic signature by Qiuqiao Mu, Qiuqiao Mu, Qiuqiao Mu, Han Zhang, Ying Shi, Mengli Xue, Jingxian Wang, Yun Ding, Lin Tan, Hui Yuan, Xin Li, Xin Li, Daqiang Sun, Daqiang Sun, Daqiang Sun

“…Malignant epithelial cells were identified via inferred copy number variation (CNV) profiles. Key malignant subpopulations were further characterized through trajectory inference, cell–cell communication mapping, gene set variation analysis (GSVA), and reconstruction of transcription factor regulatory networks. …”
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Report of a Meeting: An Expert Consultation on Body Composition and Adiposity for Children and Adolescents in All Their Diversity by Lauren E O’Connor, Lucero Lopez-Perez, Ricardo X Martinez, Maureen K Spill, Juan Pablo Peña-Rosas, Amanda J MacFarlane

“…We convened experts to discuss methods for measuring body composition and diagnosing obesity among infants, children, and adolescents aged 0–19 y. …”
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Impacts of Ecological Restoration Projects on Ecosystem Carbon Storage of Tongluo Mountain Mining Area, Chongqing, in Southwest China by Lei Ma, Manyi Li, Chen Wang, Hongtao Si, Mingze Xu, Dongxue Zhu, Cheng Li, Chao Jiang, Peng Xu, Yuhe Hu

“…This hybrid approach overcame the limitations of traditional plot-based methods by providing spatially explicit, cost-effective monitoring solutions for mining ecosystems. …”
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Exploring the relationship between climate change, air pollutants and human health: Impacts, adaptation, and mitigation strategies by Gibson Owhoro Ofremu, Babatunde Yusuf Raimi, Samuel Omokhafe Yusuf, Beatrice Akorfa Dziwornu, Somtochukwu Godfrey Nnabuife, Adaeze Mary Eze, Chisom Assumpta Nnajiofor

“…This paper conveys a comprehensive review of scientific literature to explore the relationship between climate change, air pollutants, and human health. The integral relationship between climate change and health is complex and has a significant impact on every facet of human life. …”
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A systematic review on the effectiveness of unstandardized mindfulness interventions in improving dietary and physical activity outcomes in healthy adults by Christian E. Preissner, Lieke Vilier, Nora C. Bertelsmann, Kim Beckers, Dennis de Ruijter, Hein de Vries, Anke Oenema

“…No overview exists of how mindfulness-based strategies are integrated in these “unstandardized” interventions and which strategies have potential for effect. …”
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Obesity and Overweight Conditions in Children and Adolescents (6–18 Years) and Their Impact on Craniofacial Morphology: A Systematic Review by Alessio Verdecchia, Carlota Suárez-Fernández, Ivan Menéndez Diaz, Veronica García Sanz, Enrico Spinas, Teresa Cobo

“…Orthodontic diagnostics should integrate metabolic and hormonal considerations to optimize treatment outcomes. …”
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Deep learning for vision screening in resource-limited settings: development of multi-branch CNN for refractive error detection based on smartphone image by Muhammad Syauqie, Muhammad Syauqie, Harry Patria, Sutanto Priyo Hastono, Kemal Nazaruddin Siregar, Nila Djuwita Farieda Moeloek

“…Its multi-scale feature extraction pathways were pivotal in effectively addressing overlapping red reflex patterns and subtle variations between classes.ConclusionThis study establishes the feasibility of smartphone-based photorefractive assessment integrated with artificial intelligence for scalable and cost-effective vision screening. …”
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