Results 71 to 80 of about 434,169 (310)
This study finds that the interaction between ABA‐OsCIPK2‐OsSWEET1A reduces the allocation of methane producing bacteria carbon source (acetic acid) content to the rhizosphere soil of ratoon season rice, thereby reducing methane emissions. Abstract Rice paddies are a major, persistent source of atmospheric methane (CH4), emission rates depend on the ...
Jingnan Zou +14 more
wiley +1 more source
This study identifies the transcription factor ETV1 as a key driver of CD4⁺ T cell‐mediated intestinal inflammation in inflammatory bowel disease (IBD). ETV1 promotes CD4⁺ T cell activation, proliferation, and Th17 differentiation by activating the amino acid transporter SLC7A5, fueling metabolic reprogramming.
Yan Shi +8 more
wiley +1 more source
This study constructs a proteomic atlas of esophageal squamous cell carcinoma (ESCC) progression using esophageal biopsy samples. It identifies moderate dysplasia as the critical turning stage and a seven‐protein panel for early detection. Functionally, GBP6 loss promotes ESCC progression via cell cycle and epithelial‐mesenchymal transition (EMT ...
Xumiao Li +12 more
wiley +1 more source
This study presents an impedance‐based single‐cell profiling platform that quantifies the electrical and mechanical properties of neutrophils across in vitro, in vivo, and clinical samples. The approach reveals distinct biophysical alterations associated with type 2 diabetes (T2DM) and cardiovascular complications, suggesting its potential utility for ...
Linwei He +13 more
wiley +1 more source
Doehl et al. discovered an adaptive neuroimmune mechanism that induces itch in tick‐exposed guinea pigs, enabling rapid tick removal. This itch‐induced tick removal (IITR) is mediated by an adaptive cellular immune response and is independent of IgG, IgE, or TRPV1.
Johannes S. P. Doehl +27 more
wiley +1 more source
Artificial Intelligence‐Driven Soft Bioelectronics for Self‐Powered Respiration Monitoring
Artificial intelligence‐driven soft bioelectronics for self powered respiration monitoring based on triboelectric nanogenerators (TENGs), piezoelectric nanogenerators (PENGs), and magnetoelastic generators (MEGs) enable continuous and multi‐scenario respiratory biomechanical data collection. Coupled with machine learning and big data driven diagnostics,
Xinkai Xu, Xiao Xiao, Rui Guo, Jun Chen
wiley +1 more source
ABSTRACT Background Robot‐assisted rectal surgery (RAS) offers improved dexterity and visualization; however, the high cost of equipment and consumables remains a major challenge for hospital management. At our institution, we have adopted a combined approach using transanal total mesorectal excision (TaTME) for lower rectal cancers, aiming to shorten ...
Takeru Matsuda +9 more
wiley +1 more source
A reliable and effective risk prediction model for mortality and morbidity in elderly patients undergoing gastroenterological surgeries was developed and validated. Geriatric‐specific risk factors, including the newly added variables in the NCD registry, along with age, were identified as significant contributors to the model. ABSTRACT Aim As the aging
Naoya Sato +11 more
wiley +1 more source
Haptic In‐Sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir
Using a porous carbon nanotube‐polydimethylsiloxane nanocomposite, a sensor array integrated with a physical reservoir computing paradigm capable of in‐sensor computing is demonstrated. The device is able to classify between nine objects with an accuracy above 80%, opening the possibility for low‐power sensing/computing for future robotics.
Kouki Kimizuka +7 more
wiley +1 more source
Abstract This paper describes a 3‐year community–partnered research initiative focused on advancing early reading, racial equity, and relationships—collectively known as the 3Rs Initiative. The project brought together researchers and community members committed to ensuring that all adults in the county embody a shared “3Rs mindset” to better support ...
Shannon B. Wanless +3 more
wiley +1 more source

