Results 101 to 110 of about 69,200 (270)
Predicting unseen drug‐target interactions is challenging. BioBridge presents an Inductive‐Associative pipeline inspired by scientists' workflow. It combines transferable binding principles, learned via multi‐level encoders and adversarial training, with insights from weakly related references through meta‐learning.
Xiaoqing Lian+11 more
wiley +1 more source
Efficient path-based computations on pedigree graphs with compact encodings
A pedigree is a diagram of family relationships, and it is often used to determine the mode of inheritance (dominant, recessive, etc.) of genetic diseases.
Yang Lei, Cheng En, Özsoyoğlu Z Meral
doaj +1 more source
Regression testing is an expensive activity and Test Case Prioritization (TCP) acts as an improvement mechanism for it. TCP techniques for object oriented programs need attention and in our study, we explored prioritization of JUnit test cases.
R. Mukherjee, K. S. Patnaik
doaj +1 more source
ABSTRACT Large‐scale bioreactors in industrial bioprocesses pose challenges due to extracellular concentration gradients and intracellular heterogeneity. This study introduces a novel approach integrating the method of moments with truncated normal distributions (MM‐TND) to model intracellular heterogeneity while maintaining computational feasibility ...
Ittisak Promma+3 more
wiley +1 more source
Introduction and Objectives: Alpha-1 antitrypsin (AAT) is an acute-phase glycoprotein encoded by the SERPINA1 gene. This allele has a codominant expression and Alpha-1 antitrypsin deficiency (AATD) is caused by the inheritance of two affected alleles ...
Mariela Solano-Vargas+5 more
doaj
Learning style preference and critical thinking perception among engineering students [PDF]
Engineering education plays a vital role towards modernization of world. Therefore, engineering students need to be nurture with multiple skills like learning preferences and critical thinking skills.
Muhammad Ismail Jamali, Ali Raza Jamali
core
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian+12 more
wiley +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker+2 more
wiley +1 more source
IL‐31 levels correlate with pruritus in patients with cholestatic and metabolic liver diseases Abstract Background and Aims Pruritus is associated with multiple liver diseases, particularly those with cholestasis, but the mechanism remains incompletely understood.
Jun Xu+20 more
wiley +1 more source
We propose a quantum-theoretical model of genetic inheritance, integrating quantum fluctuations, entanglement, and an adaptive Transmission Control Protocol (TCP)-based evolutionary function. Our framework defines a genetic state density matrix that evolves via quantum operators, introducing entanglement-driven genotype correlations across generations.
openaire +2 more sources