Results 131 to 140 of about 33,950 (290)
Muscle cell‐based biohybrid robot using nanomaterials for function enhancement and neural function for biomedical applications. Biohybrid robotics, an emerging field combining biological tissues with artificial systems, has made significant progress in developing various biohybrid constructs, including muscle‐cell‐driven biorobots and microbots.
Minkyu Shin +4 more
wiley +1 more source
Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou +4 more
wiley +1 more source
This study integrates multi‐omics to reveal the critical role of UBE2T in driving malignancy and stromal co‐evolution in PDAC. UBE2T potentiates glycolysis by regulating p53 degradation via a positive feedback loop, thereby promoting histone H3 lysine 18 lactylation in CAFs and stromal deposition. The UBE2T inhibitor PGG represents a potential strategy
Yong Ma +16 more
wiley +1 more source
The extended Poisson-Tweedie (EPT) regression model is one of the count data regression models. It's a more flexible model in count data; since EPT model can be used in two situations: over-dispersion or under-dispersion but under assumption that this ...
Mohamed R. Abonazel +5 more
doaj +1 more source
In pancreatic ductal adenocarcinoma (PDAC), insulin is associated with activation of PI3K/AKT–RAB3A signaling and enhanced secretion of TNFAIP8‐enriched exosomes from tumor cells. Uptake of these exosomes by fibroblasts is linked to TRIM21‐dependent STAT1 degradation and the emergence of myofibroblastic CAF–associated features, accompanied by increased
Zhenyu Li +15 more
wiley +1 more source
Modified Ridge Estimator for Poisson Regression
Poisson regression is a statistical model used to model the relationship between a count-valued-dependent variable and one or more independent variables. A frequently encountered problem when modeling such relationships is multicollinearity, which occurs
Shuaib Mursal Ibrahim, Aydın Karakoca
doaj +1 more source
This study reveals that maternal antibiotic exposure prior to conception disrupts intergenerational gut microbial succession. By enhancing maternal‐offspring microbial transmission, altering microbial developmental trajectories and increasing selective pressures during community assembly, these disturbances lead to persistent gut mucosal immaturity and
Yuzhu Chen +8 more
wiley +1 more source
Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio +3 more
wiley +1 more source
This study analyzes gut bacteria in cholangiocarcinoma patients, revealing distinct microbial signatures that enable accurate disease detection. Species‐based diagnostic models achieved over 98% accuracy in identifying cholangiocarcinoma and distinguished it from other liver diseases. The research demonstrates that specific beneficial bacteria suppress
Benchen Rao +18 more
wiley +1 more source
A BioLiving Periosteum Evokes Centripetal Regeneration in Challenging Bone Defects
Large bone defects often suffer from insufficient central healing. This study engineers a BioLiving periosteum that mimics the native structure. It sequentially delivers remote chemical cues and contact physical cues in a signaling‐relay manner, effectively recruiting and guiding endogenous cells toward the defect center.
Yang Shi +12 more
wiley +1 more source

