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An Unsupervised and End-to-End Registration Method Using Offset Field and Pseudodata for Video SAR Images

Hui Fang, Guisheng Liao, Yongjun Liu, Cao Zeng et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024)

Video synthetic aperture radar (video SAR) has been successfully applied in many fields and the registration of the video SAR images has been proven to be a crucial step in their preprocessing. However, video SAR images exhibit more severe ...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2024.3465835

Receptor allostery promotes context-specific Sonic Hedgehog signaling during embryonic development

Miriam E. Dillard, Christina A. Daly, Rojalin Pradhan, Shariq S. Ansari et al. • Nature Communications (2026)

Abstract Sonic Hedgehog (SHH) signaling functions in temporal- and context-dependent manners to pattern diverse tissues during embryogenesis. The signal transducer Smoothened (SMO) is induced by sterols, oxysterols, and arachidonic acid (AA...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41467-026-75918-5

High posterior tibial slope increases anterior cruciate ligament elongation in unicompartmental knee arthroplasty during early-flexion of lunge

Nan Zheng, Chunjie Xia, Huiyong Dai, Diyang Zou et al. • BMC Musculoskeletal Disorders (2025)

Abstract Background In-silico and in-vitro studies have revealed an appropriate posterior tibial slope (PTS) is critical for normal anterior cruciate ligament (ACL) and posterior cruciate ligament (PCL) tension and knee biomechanical behavi...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12891-025-08335-2

Management of Ureters Involved in Inguinal Hernias

Sarah Perz, Timothy Suttle, Puneet Sindhwani • Translation (2018)

Background: The presence of a ureter in a hernia sac presents a unique surgical challenge and can increase the likelihood of ureteral injury at the time of surgery as they are often not identified pre-operatively. Here we present our instit...

DOAJ Open Access (DOAJ) DOI: 10.46570/utjms.vol5-2018-250

Improving the Transferability of Suspended Solid Estimation in Wetland and Deltaic Waters with an Empirical Hyperspectral Approach

Daniel Jensen, Marc Simard, Kyle Cavanaugh, Yongwei Sheng et al. • Remote Sensing (2019)

The deposition of suspended sediment is an important process that helps wetlands accrete surface material and maintain elevation in the face of sea level rise. Optical remote sensing is often employed to map total suspended solids (TSS), th...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs11131629

The JWST Resolved Stellar Populations Early Release Science Program. VIII. The Spatially Resolved Star Formation History of WLM

Roger E. Cohen, Kristen B. W. McQuinn, Alessandro Savino, Max J. B. Newman et al. • The Astrophysical Journal (2025)

Radial stellar population gradients within dwarf galaxies provide a promising avenue for disentangling the drivers of galaxy evolution, including environment. Within the Local Volume, radial stellar age gradient slopes correlate with intera...

DOAJ Open Access (DOAJ) DOI: 10.3847/1538-4357/adb61d

QG-WRN: A Quantum-Enhanced Graph Convolutional Wide Residual Network for ASD Diagnosis via Neuroimaging Sensing Technology

Nanting Huang, Xiaoyu Li, Xin Yang, Li Xie et al. • Sensors (2026)

The pathological mechanism of autism spectrum disorder (ASD) exhibits dual heterogeneity: abnormal local energy metabolism and brain-wide high-order topological failure. To synergistically characterize these complex signals captured by adva...

DOAJ Open Access (DOAJ) DOI: 10.3390/s26133997

Natural Language Processing Technologies in Radiology Research and Clinical Applications

Tianrun A. Cai, Andreas A. Giannopoulos, Sheng Yu, Tatiana Kelil et al. • Radiographics (2016)

The migration of imaging reports to electronic medical record systems holds great potential in terms of advancing radiology research and practice by leveraging the large volume of data continuously being updated, integrated, and shared. How...

OPENALEX Open Access DOI: https://doi.org/10.1148/rg.2016150080 PMC: 4734053

Natural language processing in Alzheimer's disease research: Systematic review of methods, data, and efficacy

Arezo Shakeri, Mina Farmanbar • Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring (2025)

Abstract INTRODUCTION Alzheimer's disease (AD) prevalence is increasing, with no current cure. Natural language processing (NLP) offers the potential for non‐invasive diagnostics, social burden assessment, and research advancements in AD. M...

DOAJ Open Access (DOAJ) DOI: 10.1002/dad2.70082

Caps Captioning: A Modern Image Captioning Approach Based on Improved Capsule Network

Shima Javanmardi, Ali Mohammad Latif, Mohammad Taghi Sadeghi, Mehrdad Jahanbanifard et al. • Sensors (2022)

In image captioning models, the main challenge in describing an image is identifying all the objects by precisely considering the relationships between the objects and producing various captions. Over the past few years, many methods have b...

DOAJ Open Access (DOAJ) DOI: 10.3390/s22218376

Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)

Mariya Toneva, Leila Wehbe • arXiv (Cornell University) (2019)

Neural networks models for NLP are typically implemented without the explicit encoding of language rules and yet they are able to break one performance record after another. This has generated a lot of research interest in interpreting the ...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1905.11833

Natural language processing future

M. Chandhana Surabhi • International Conference on Optical Imaging Sensor and Security (ICOSS) (2013)

Natural Language Processing is a technique where machine can become more human and thereby reducing the distance between human being and the machine can be reduced. Therefore in simple sense NLP makes human to communicate with the machine e...

OPENALEX DOI: https://doi.org/10.1109/icoiss.2013.6678407

Brains and algorithms partially converge in natural language processing

Charlotte Caucheteux, Jean-Rémi King • Communications Biology (2022)

Deep learning algorithms trained to predict masked words from large amount of text have recently been shown to generate activations similar to those of the human brain. However, what drives this similarity remains currently unknown. Here, w...

OPENALEX cc-by DOI: https://doi.org/10.1038/s42003-022-03036-1 PMC: 8850612