Digital health literacy and use of patient portals among Spanish-preferred patients in the United States: a cross-sectional assessment by Lindsey M. Philpot, Lindsey M. Philpot, Priya Ramar, Daniel L. Roellinger, Margaret A. McIntee, Jon O. Ebbert

“…Measures included patient-reported comfort level with reading and speaking English, internet and computer access and satisfaction, ability to perform healthcare-related online tasks, and the eHEALS scale of digital health literacy.ResultsA total of 212 Spanish-preferred patients completed the survey (response rate, 212/2,726 = 7.8%), of which 73.6% indicated lack of comfort in reading or writing in English (LEP n = 156). …”
Get full text

Research on the numerical simulation of dynamic explosion shock wave propagation characteristics between floors by Ke Wu, Bo Chen, Hao Li, Yunfeng Zhang, Damin Zhang, Yixuan Wu, Yaguang Sui

“…This study addresses the assessment of dynamic explosive shock wave loads in building damage evaluation. Utilizing numerical simulation methods, we investigated the propagation process of shock waves between building floors, capturing the evolution of their wavefronts. …”
Get full text

A Rare Case of Intracranial Nongerminomatous Germ Cell Tumor in a 21-Year-Old Romanian Male by Minesh Nandi, Rahul Anil, Edward Hamaty, William Adams, David Stidd, Krizelle Garde, Hari Kandukuri

“…We present here a rare case of intracranial NGGCT in a 21-year-old Romanian male, who presented with complaints of emesis, ataxic gait, and diplopia. A computed tomography scan of the head in the emergency department revealed a pineal/suprapineal mass along with obstructive hydrocephalus and dilated lateral and third ventricles without any bleeding. …”
Get full text

Learning Regionalization Using Accurate Spatial Cost Gradients Within a Differentiable High‐Resolution Hydrological Model: Application to the French Mediterranean Region by Ngo Nghi Truyen Huynh, Pierre‐André Garambois, François Colleoni, Benjamin Renard, Hélène Roux, Julie Demargne, Maxime Jay‐Allemand, Pierre Javelle

“…This approach demonstrates how two differentiable codes can be linked and their gradients chained, enabling the exploitation of heterogeneous data sets across extensive spatio‐temporal computational domains within a high‐dimensional regionalization context, using accurate adjoint‐based gradients. …”
Get full text

Multimodal AI for Home Wound Patient Referral Decisions From Images With Specialist Annotations by Reza Saadati Fard, Emmanuel Agu, Palawat Busaranuvong, Deepak Kumar, Shefalika Gautam, Bengisu Tulu, Diane Strong

Get full text

Dual-Branch Luminance–Chrominance Attention Network for Hydraulic Concrete Image Enhancement by Zhangjun Peng, Li Li, Chuanhao Chang, Rong Tang, Guoqiang Zheng, Mingfei Wan, Juanping Jiang, Shuai Zhou, Zhenggang Tian, Zhigui Liu

Get full text

Deployable Deep Learning for Cross-Domain Plant Leaf Disease Detection via Ensemble Learning, Knowledge Distillation, and Quantization by Mohammad Junayed Hasan, Suvodeep Mazumdar, Sifat Momen

“…Despite recent advances, three fundamental barriers remain: cross-domain generalization, severe class imbalance, and computational limitations for edge deployment. This study introduces the first open cross-domain benchmark for tomato leaf disease detection, unifying PlantVillage and TomatoVillage datasets into 15 harmonized disease classes to enable reproducible evaluation across domains. …”
Get full text

LiSENCE: A Hybrid Ligand and Sequence Encoder Network for Predicting CYP450 Inhibitors in Safe Multidrug Administration by Abena Achiaa Atwereboannah, Wei-Ping Wu, Sophyani B. Yussif, Muhammed Amin Abdullah, Edwin K. Tenagyei, Chiagoziem C. Ukuoma, Yeong Hyeon Gu, Mugahed A. Al-antari

Get full text

SAHVAI‐3D and 4D: Automated AI Volumetric Measurement of Subarachnoid Hemorrhage on Noncontrast Head CT by Melina Wirtz, Saif Salman, Yujia Wei, Vishal N. Patel, Rohan Sharma, Vikash Gupta, Qiangqiang Gu, Benoit Dherin, Sanjana Reddy, Rabih G. Tawk, Bradley J. Erickson, W. David Freeman

“…Methods A training set of 10 consecutive patients with aneurysmal SAH was used to manually compute SAHV, SAHVAI‐3D, and SAHVAI‐4D, including 92 noncontrast computed tomography scans (182 slices each). …”
Get full text

Fuzzy model-based analysis of user feedback for product development insights by Anna Sudár, Borbála Berki, Ildikó Horváth

“…A further benefit of the framework is its adaptability across the entire application lifecycle; it can initiate with minimal user feedback and is computationally equipped to handle the gradually increasing volume of feedback over time. …”
Get full text

The ability to assess the state of the fundus in patients with lens opacities of varying intensity, including patients with type 2 diabetes mellitus, using quantitative analysis of... by L. A. Mineeva, L. I. Balashevich, A. A. Kozhukhov, L. B. Shubin, A. V. Kabanov, C. Passaglia, D. Richards, B. Madow

“…In order to better fix the details of the fundus images with lens opacities using a computer algorithm with a filter system, evaluation scales have been developed – the clarity score scale and the blur score scale. …”
Get full text

Image J as the quantification tool in endosonography strain elastography may be reflected in the disturbance of endocrine pancreatic dysfunction by Ken Nakamura, Seiji Futagami, Shuhei Agawa, Yoshiyuki Watanabe, Tomohide Tanabe, Takeshi Onda, Mayu Habiro, Rie Kawawa, Kumiko Kirita, Nobue Ueki, Katsuhiko Iwakiri

“…Conclusions The ELST‐blue score may be a useful tool for the evaluation of endocrine pancreatic dysfunction in the ECP.…”
Get full text

Coalmine image super-resolution reconstruction via fusing multi-dimensional feature and residual attention network by Jian CHENG, Lifei MI, Hao LI, Heping LI, Guangfu WANG, Yongzhuang MA

“…Experimental results indicate that the proposed method significantly outperforms existing mainstream algorithms in both objective evaluation metrics and subjective visual analysis. In tests on the coalmine dataset, LPIPS (Learned Perceptual Image Patch Similarity) decreases by an average of 10.97% and 9.91%, while PSNR (Peak Signal-to-Noise Ratio) increases by an average of 4.10% and 2.30% for 2x and 4x scaling factors, respectively, demonstrating the method's effectiveness in restoring the structure and texture details of coalmine images.…”
Get full text

Artemisia campestris L. as a promising source of potential antiviral drugs for SARS-CoV-2: Docking and dynamic simulation studies by Aboubakeur Esseddik Khelef, Hanine Hadni, Hicham Gouzi, Borhane Samir Grama

“…Evaluation of ADMET pharmacokinetic properties and the drug likeness in silico revealed that only 3,5-dicaffeoylquinic acid, 3–4–5-tricaffeoylquinic acid, isorhamnetin-3-O-glucoside, and rubescensin A could be more effective drugs against COVID-19. …”
Get full text

Fluid-Dynamic and Structural Optimization of a Suction-Enabled Autonomous Grass-Cutter Robot by Shenoy Adithya Kamalaksha, Abhishek Kumar, Rithvik Marneni, Kamarul Arifin Ahmad, Spoorthi Singh, Sharul Sham Dol

“…However, existing design studies typically address individual subsystems in isolation, lacking a unified framework for comparative evaluation of multi-wheel configurations. To fill this gap, this work introduces a novel, multi-domain integration framework combining structural finite-element analysis (FEA), computational fluid dynamics (CFD) with analytical ΔP–Q and Reynolds number modelling, URDF-based Webots simulation, and Python-driven parametric studies, a unified approach not found in prior grass-cutter robot studies. …”
Get full text

Use of multi-criteria decision analysis (MCDA) to support decision-making during health emergencies: a scoping review by Stanislav Gaievskyi, Stanislav Gaievskyi, Nicholas Delfrate, Luca Ragazzoni, Luca Ragazzoni, Awsan Bahattab, Awsan Bahattab

“…Developing tailored MCDA approaches for health emergencies, including defining evaluation criteria and stakeholder engagement, may improve uptake of the technique and benefit the efforts to meet the growing health needs of the population affected by emergencies, https://osf.io/6kd5s/.…”
Get full text

A subcentimeter duodenal neuroendocrine neoplasm with a liver metastasis upgraded to G3: a case report by Tomoya Kitada, Toshihiko Masui, Yosuke Kasai, Yuichiro Uchida, Satoshi Ogiso, Takashi Ito, Takamichi Ishii, Satoru Seo, Hiroyuki Katsuragawa, Shinji Uemoto

“…However, preoperative risk evaluation is often difficult, because Ki-67 index on biopsy is frequently underestimated due to the intratumor heterogeneity. …”
Get full text

Rare but Possible: Three Roots with Three Canals in Maxillary First Premolars in Pakistani Subpopulation by Shaher Bano, Malik Adeel Anwar, Khadija Arif, Rai Sadaf Nawaz, Annam Aziz, Fatima Khalil

“…Data was analyzed using SPSS version 23 with a chi-square test to evaluate the differences between genders on both sides. …”
Get full text

Predicting High-Grade Patterns in Stage I Solid Lung Adenocarcinoma: A Study of 371 Patients Using Refined Radiomics and Deep Learning-Guided CatBoost Classifier by Hong Zheng MS, Wei Chen MS, Jun Liu MD, Lian Jian MD, Tao Luo BS, Xiaoping Yu MD

“…Subsequently, radiomics refinement and deep learning features were employed using a machine learning algorithm to construct the RRDLC-Classifier, which aims to predict high-grade patterns in clinical stage I solid LADC. Evaluation metrics, such as receiver operating characteristic curves, areas under the curve (AUCs), accuracy, sensitivity, and specificity, were computed for assessment. …”
Get full text

Spatio-temporal distribution of under-five malaria morbidity and mortality hotspots in Ghana, 2012 – 2017: a case for evidence-based targeting of malaria interventions by Dora Dadzie, Ernest Kenu, Olufemi Olamide Ajumobi, Ben Masiira, Delia Akosua Bandoh, Charles Noora Lwanga, Edwin Afari

“…We obtained confirmed U5 malaria case and population data for all districts in Ghana, and computed yearly smoothed malaria incidence and mortality rates. …”
Get full text