Physics-enhanced machine learning for predicting strength of high-carbon chromium steel during thermomechanical processing and spheroidizing annealing by Changqing Shu, Shasha Zhang, Peiheng Ding, Yaxin Sun, Xuewei Tao, Xiaolin Zhu, Qiuhao Gu, Liukai Hua, Song Xue, Zhengjun Yao

“…SHAP analysis identifies the volume fraction of lamellar carbides, spheroidal carbide count, and carbide size as dominant factors influencing strength. This data-driven approach bridges process, microstructure, and property relationships, offering a robust tool for optimizing high-carbon chromium steel processing.…”
Get full text

Efficient computation and visualization of ionospheric volumetric images for the enhanced interpretation of Incoherent scatter radar data by J. Araújo, F. López, S. Johansson, A. Westman, M. Bodin

“…Recent developments in ISR technologies allow the generation of high-resolution 3D data. Examples of such technologies employ the so-called phased-array antenna systems like the AMISR systems in North America or the upcoming EISCAT_3D in the Northern Fennoscandia region. …”
Get full text

Predicting Missing Values in Survey Data Using Prompt Engineering for Addressing Item Non-Response by Junyung Ji, Jiwoo Kim, Younghoon Kim

“…We evaluated the effectiveness of our LLM-based approach through a series of experiments, demonstrating its competitive performance against established methods such as Multivariate Imputation by Chained Equations (MICE), MissForest, and deep learning models like TabTransformer. The results show that our approach not only matches but, in some cases, exceeds the performance of these methods while significantly reducing the time required for data processing.…”
Get full text

TLR4 deficiency does not alter glaucomatous progression in a mouse model of chronic glaucoma by Chi Zhang, Marina Simón, Jeffrey M. Harder, Haeyn Lim, Christa Montgomery, Qing Wang, Simon W.M. John

“…Abstract Glaucoma is a leading cause of irreversible blindness worldwide. Toll-like receptor 4 (TLR4) is a pattern-recognition transmembrane receptor that induces neuroinflammatory processes in response to injury. …”
Get full text

RADARSAT constellation mission compact polarisation SAR data for burned area mapping with deep learning by Yu Zhao, Yifang Ban

“…A deep-learning-based processing pipeline incorporating ConvNet-based and Transformer-based models is applied for burned area mapping, with three different input settings: using only log-ratio dual-polarisation intensity images, using only compact-pol decomposition plus CpRVI, and using all three data sources. …”
Get full text

Quality of the diagnostic process in patients presenting with symptoms suggestive of bladder or kidney cancer: a systematic review by Georgios Lyratzopoulos, Fiona M Walter, Willie Hamilton, Yin Zhou, Marije van Melle

“…Urinary tract infections, nephrolithiasis and benign prostatic conditions before cancer diagnosis were associated with diagnostic delay. Women were more likely to experience diagnostic delay than men. Patients who first saw a urologist were less likely to experience delayed evaluation and cancer diagnosis.Conclusions Women, and patients with non-cancerous urological diagnoses just prior to their cancer diagnosis, were more likely to experience lower quality diagnostic processes. …”
Get full text

BanglaHealth: A Bengali paraphrase dataset on health domainHugging Face by Faisal Ibn Aziz, Muhammad Nazrul Islam

“…This methodology included the development of a script for data extraction, pre-processing, translation of Bengali sentences into English, paraphrasing of the English sentences, and subsequent translation back into Bengali to generate paraphrased versions of the original sentences. …”
Get full text

Impact of Digital Drawing Tools on the Experimental Learning Process: A Mixed-Methods Study at Jadara University

Get full text

Satellite imagery, big data, IoT and deep learning techniques for wheat yield prediction in Morocco by Abdelouafi Boukhris, Antari Jilali, Abderrahmane Sadiq

“…The advancement of artificial intelligence techniques, synchronized with satellite imagery, has emerged as a potent approach for forecasting crop yields in modern times. We used two types of data: spatial data and temporal data. Spatial data are gathered from satellite imagery and processed using ArcGIS to extract data about crops based on several indices like NDVI and NWDI. …”
Get full text

Optimized Method to Generate Well-Characterized Macrophages from Induced Pluripotent Stem Cells by Qimin Hai, Peter Bazeley, Juying Han, Gregory Brubaker, Jennifer Powers, Claudia M. Diaz-Montero, Jonathan D. Smith

“…We demonstrate the effects of M1-like and M2-like polarization on cytokine release. …”
Get full text

Gaps in the screening process for women diagnosed with cervical cancer in four diverse US health care settings by Chun R. Chao, Jessica Chubak, Elisabeth F. Beaber, Aruna Kamineni, Connie Mao, Michael J. Silverberg, Jasmin A. Tiro, Celette Skinner, Michael Garcia, Douglas A. Corley, Rachel L. Winer, Tina Raine‐Bennett, Sarah Feldman, Cosette M. Wheeler

Get full text

Characterization and simulation of conglomerate reservoirs using core data of Triassic Baikouquan Formation, Mahu Depression by Xiangyang Li, Fengxia Li, Zhiwen Huang, Hancheng Ji, Haibo Wang, Liang Chen, Zhonghao Zhang, Xukai Shi

Get full text

MT1-MMP-dependent ECM processing regulates laminB1 stability and mediates replication fork restart. by Varsha Thakur, Juliano Tiburcio de Freitas, Yuan Li, Keman Zhang, Alyssa Savadelis, Barbara Bedogni

“…Stable laminB1 is found at replication forks (RFs) where it is likely to allow the proper positioning of RF protection factors, thus preventing RF degradation. …”
Get full text

Not an Illusion but a Manifestation: Understanding Large Language Model Reasoning Limitations Through Dual-Process Theory by Boris Gorelik

“…Rather than representing technical limitations, these behaviors likely manifest computational processes analogous to human cognitive constraints. …”
Get full text

Incremental and transformational climate change adaptation factors in agriculture worldwide: A comparative analysis using natural language processing. by Sofia Gil-Clavel, Thorid Wagenblast, Tatiana Filatova

“…Our results show that factors related to adaptive capacity and access to information and technology are more likely to be associated with transformational adaptation than with incremental adaptation. …”
Get full text

Coastal Subsidence in Cape Canaveral, FL, and Surrounding Areas: Shallow Subsidence Induced by Natural and Anthropogenic Processes by Anurag Sharma, Shimon Wdowinski, Randall W. Parkinson

Get full text

TOURIST DECISION-MAKING WHEN SELECTING A DESTINATION: AN ANALYTICAL HIERARCHY PROCESS ANALYSIS OF CONSUMPTION VALUES by Bahar Türk, Tuğba Yıldız, Mehmet Tahir Dursun

“…It is common knowledge that in a destination selection process, people are likely to visit sites they believe are worthwhile. …”
Get full text

Key determinants in implementation processes: a systematic review using the Consolidated Framework for Implementation Research (CFIR) by Marin Schmitt, Maren Hawkins, Paul Florsheim

“…While quantifying qualitative data inherently removes some important nuance, by identifying key determinants, we hope to help researchers and practitioners identify which factors are likely to facilitate success of their implementation efforts. …”
Get full text

Prediction of fatal pancreatogenic shock in the first phase of the disease in patients with hyperergic inflammatory process in acute pancreatitis by A. N. Shcherbyuk, S. V. Morozov, A. V. Grishin, B. I. Yaremin, V. M. Manuylov, D. A. Tsarev, D. A. Mokhov, Ya. E. Nemstsveridze, A. A. Shcherbyuk

Get full text

Medical school admission processes to target rural applicants: an international scoping review and mapping of Australian practices by Jordan Fox, Jessica Beattie, Janelle McGrail, Diann Eley, Lara Fuller, Wendy Hu, Catherine Keniry, Srinivas Kondalsamy Chennakesavan, Lyndal Parker-Newlyn, Katharine Reid, Lucie Walters, Matthew McGrail

“…Abstract Background Recruiting more rural origin applicants to medical school is a high priority for addressing rural workforce shortages, given evidence demonstrating they are more likely to practice rurally. Whether strategies used to select rural applicants for Australian medical schools are evidence-based is yet to be evaluated in depth. …”
Get full text