Results 111 to 120 of about 1,007,644 (283)
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Understanding and constructing mathematical proofs is fundamental for students in abstract algebra courses. The computational thinking approach can aid the process of compiling mathematical proofs.
Elah Nurlaelah +4 more
doaj +1 more source
Laterally spreading tumors (LSTs) are precancerous colorectal lesions characterized by a flat morphology. This study reveals a mechanochemical pathway through which a soft matrix microenvironment diminishes spatial constraints in intestinal adenomas. This process promotes deficiencies in tight junction proteins, mediated by the mechanoreceptor ADORA2B ...
Jiamin Zhong +21 more
wiley +1 more source
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv +11 more
wiley +1 more source
The adsorption of AsV on akaganeite nanorods was found to provide a magnetic signature. A change in the surface spin order gave rise to a second peak in the zero‐field cooled curve. AsIII adsorption does not provide any change in the magnetic behavior of the sorbent.
Marco Sanna Angotzi +11 more
wiley +1 more source
Shadow‐Calibrated Stereo Vision for Colorimetric Sweat Analysis
By establishing a mathematical model that reconstructs 3D structures through geometric features of object shadows under controlled illumination, and combining it with Convolutional Neural Network‐based 2D image analysis for volumetric calibration, this work enables highly accurate 3D morphological reconstruction.
Ting Xiao +7 more
wiley +1 more source
Problems with the Requirement to “to Prove” as a Training of Creative Mathematical Thinking
According to the results of the analysis of research on creative mathematical thinking, it was established that the exploratory mathematical process is the process of setting and solving a mathematical problem.
Лідія Мойсеєнко +1 more
doaj +1 more source
Memristive Physical Reservoir Computing
Memristors’ nonlinear dynamics and input‐dependent memory effects make them ideal candidates for high‐performance physical reservoir computing (RC). Based on their conductance modulation, memristors can be classified as electronic or optoelectronic types.
Dian Jiao +9 more
wiley +1 more source
This article discusses the analysis of learning obstacles among students in mathematical induction proof. Mathematical induction proof is a crucial topic in developing students' logical and problem-solving skills, but many students face obstacles in ...
wildatus sholihah
doaj +1 more source
A DNA‐functionalized biohybrid hydrogel is developed by integrating Cu‐mediated nucleic acid microflowers into a thermoresponsive matrix, enabling electrothermally triggered, on‐demand payload release. The platform offers spatiotemporally controllable therapeutic delivery with promising applications in precision oncology, neural regulation, and chronic
Mengqiu Sun +8 more
wiley +1 more source

