Hybrid InceptionNet Based Enhanced Architecture for Isolated Sign Language Recognition
Sign language is a common way of communication for people with hearing and/or speaking impairments. AI-based automatic systems for sign language recognition are very desirable since they can reduce barriers between people and improve Human-Computer ...
Deep R. Kothadiya +3 more
doaj +1 more source
Natural Language-Assisted Sign Language Recognition
Sign languages are visual languages which convey information by signers' handshape, facial expression, body movement, and so forth. Due to the inherent restriction of combinations of these visual ingredients, there exist a significant number of visually indistinguishable signs (VISigns) in sign languages, which limits the recognition capacity of vision
Ronglai Zuo, Fangyun Wei, Brian Mak
openaire +2 more sources
Unraveling the epigenetic code in cancer cell–tumor microenvironment crosstalk
Epigenetic regulation is a key driver of cancer development and progression. Diverse epigenetic alterations in cancer cells and components of the tumor microenvironment (TME) orchestrate their communication through multiple mechanisms. We discuss how the epigenetic code coordinates bidirectional cancer cell–TME crosstalk to promote cancer progression ...
Ji Hoon Park, Mi‐Young Kim
wiley +1 more source
Gut microbiota alterations in patients with non‐small‐cell lung cancer undergoing chemoradiotherapy
We investigated the impact of concurrent chemoradiotherapy (CRT) on the gut microbiota in patients with locally advanced non‐small‐cell lung cancer. Overall gut microbiota composition remained largely stable throughout CRT while antibiotic exposure may influence microbial diversity.
Hanne Marte Nymoen +19 more
wiley +1 more source
Deep Learning for Sign Language Recognition: Current Techniques, Benchmarks, and Open Issues
People with hearing impairments are found worldwide; therefore, the development of effective local level sign language recognition (SLR) tools is essential.
Muhammad Al-Qurishi +2 more
doaj +1 more source
Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley +1 more source
Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia +9 more
wiley +1 more source
Review on Deep Learning-Based Dynamic Indian Sign Language Recognition System
An alternative form of communication for those who are hard of hearing or speech is sign language (SL). SL differs from nation to nation. Indian Sign Language (ISL) is a substitute form of communication used by individuals in India.
Manojkumar Patel, Narendra Patel
doaj +1 more source
Dynamic Sign Language Recognition Based on Video Sequence With BLSTM-3D Residual Networks
Sign language recognition aims to recognize meaningful movements of hand gestures and is a significant solution in intelligent communication between the deaf community and hearing societies.
Yanqiu Liao +4 more
doaj +1 more source
GelMA‐based 3D spheroids recapitulate transcriptomic and functional hallmarks of myeloid sarcoma
GelMA 5% hydrogels support the formation of myeloid leukemia spheroids that recapitulate MS‐specific features, including G1 arrest, apoptosis, and ECM‐driven transcriptomic reprogramming. The 3D model mimicked soft‐tissue‐like stiffness and oxygen conditions, and transcriptomic convergence with primary MS samples confirmed its utility as a preclinical ...
Nicolas Germain +11 more
wiley +1 more source

