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

“…Data were analyzed for demographic variations and affordability perceptions. Statistical Analysis Used: Collected data were analyzed (Descriptive and Inferential) using SPSS V.25. …”
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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

“…The hybrid model integrates convolutional neural network (CNN), convolutional long short-term memory (convLSTM), and video vision transformer (ViViT) architectures to ensure comprehensive analysis. …”
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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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Pedagogical content knowledge for teaching numbers and operations: a study with prospective teachers by André Joaquim, Paula Catarino, Maria Nascimento, Ana Paula Aires

“…Conclusion: The study reinforces the need for specific training interventions that integrate innovative and contextually relevant pedagogical strategies to enhance the development of Pedagogical Content Knowledge (PCK) during initial training. …”
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Bridging the gap in sustainable radiography: insights from five countries in Asia and Africa by Mohamed Abuzaid, Nora Almuqbil, Christian Ven Emery, Wiam Elshami, Manal Ibham, Naifah Alsubaie, Zuhal Hamd, Mohamed Aljamal

“…Abstract Introduction Sustainability in healthcare, particularly in medical imaging, is increasingly important as healthcare operations contribute significantly to global emissions. Radiographers, as integral members of imaging departments, play a vital role in implementing sustainable practices. …”
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Deployment and evaluation of an NH₄⁺∕ H₃O⁺ reagent ion switching chemical ionization mass spectrometer for the detection of reduc... by C. L. Zang, M. D. Willis

“…Sensitivities are comparable to other similar instruments (up to <span class="inline-formula">∼</span>5 <span class="inline-formula">counts</span> <span class="inline-formula">s⁻¹</span> <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M14" display="inline" overflow="scroll" dspmath="mathml"><mrow class="unit"><msubsup><mi mathvariant="normal">ppt</mi><mi mathvariant="normal">v</mi><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="27pt" height="16pt" class="svg-formula" dspmath="mathimg" md5hash="03e69d0b8a5da11c6fbc4c8c60f3b361"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="amt-18-17-2025-ie00006.svg" width="27pt" height="16pt" src="amt-18-17-2025-ie00006.png"/></svg:svg></span></span>), with detection limits on the order of 1–10 s of <span class="inline-formula">ppt_v</span> (1 <span class="inline-formula">s</span> integration time). We report a method for characterizing and filtering periods of hysteresis following each reagent ion switch and compare use of reagent ions, persistent ambient ions, and a deuterated internal standard for diagnosing this hysteresis. …”
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GeoViT: Mixed-Scale Transformer for Perspective Correction in Print-Cam Image Watermarking by Said Boujerfaoui, Anass Mancour-Billah, Hassan Douzi, Rachid Harba

“…Our method significantly outperforms existing approaches in geometric accuracy, visual fidelity, and perceptual quality. …”
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Diversity and antibiotic resistance of cultivable bacteria in bulk tank milk from dairy farms in Shandong Province, China by Yijian Qi, Zhiyuan Lu, Ziru Meng, Xiaozhou Wang, Huahua Chen, Muzi Li, Chaonan Qu, Pu Zhang, Yongxia Liu, Jianzhu Liu

“…IntroductionThis study systematically analyzed bacterial diversity and antimicrobial resistance (AMR) profiles in bulk tank milk from five dairy farms (n = 30) in Shandong Province, China, to assess public health risks associated with microbial contamination and provide critical data for regional quality control and AMR risk assessment in dairy production systems.MethodsTotal bacterial counts were quantified, revealing significant inter-farm variation (P &lt; 0.05) with a range of 3.94–6.68 log CFU/mL. …”
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A novel soil moisture evaluation framework incorporating brightness temperature and a high-resolution 1 km summer brightness temperature dataset by Ziyue Zhu, Runze Zhang, Bin Fang, Hyunglok Kim, Hoang Hai Nguyen, Venkataraman Lakshmi

“…To address these challenges, this study presents two contributions: a new 1 km brightness temperature (TB) dataset for the summer season and a two-step SM evaluation method. The 1 km TB dataset, developed by integrating SMAP’s 9 km SM product with radiative transfer modeling (RTM) and Mironov model, provides enhanced spatial resolution and is focused on areas where vegetation water content (VWC) is below 3 kg/m2, allowing for a more detailed analysis of SM variations. …”
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Underwater optical metrology for precision monitoring of marine habitats: the MANATEE project by E. Nocerino, E. Nocerino, F. Menna, A. Calantropio, F. Pinna, S. Del Pizzo, S. Farina, A. Giaquinto, A. Lambertini, M. Menghini, S. Mokhtari, F. Ragazzola, S. Troisi, L. Vittuari

“…The impact of temperature variations on its growth has only recently been investigated in the field, although with destructive sampling methods. …”
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Visible-infrared person re-identification with region-based augmentation and cross modality attention by Yuwei Guo, Wenhao Zhang, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu

“…Existing models mainly focus on compensating for modality-specific information to reduce modality variation. However, these methods often introduce interfering information and lead to higher computational overhead when generating the corresponding images or features. …”
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