Results 171 to 180 of about 15,041 (261)

QGeoSEP: A Novel Multi‐Task Learning Framework Integrating Quantum, Geometric, and Semantic Features for Collaborative Prediction of Multiple Properties With Potential Application to Energetic Materials

Materials Genome Engineering Advances, EarlyView.
We introduce QGeoSEP, a multi‐task learning framework for accurate energetic material property prediction, with competitive performance against mainstream baselines and an accessible online tool for efficient molecular evaluation. ABSTRACT Accurate physicochemical property prediction is critical for the rational design of energetic materials (EMs), yet
Mingchi Gao, Zhijiang Yang, Tengxin Huang, Yingjun Zhang, Liangliang Wang, Junjie Ding, Mingtian Li   +6 more
wiley   +1 more source

A Review of Mechanical Reinforcement and Piezoresistive Self‐Sensing in Carbon Nanotube Fiber Composites

Polymer Composites, EarlyView.
PSPP‐TRL mapping of CNT‐modified CFRP literature, with four recurring confusions resolved and five scale‐up problems quantified. ABSTRACT Carbon nanotube‐modified fiber composites are often presented as a route to stronger, tougher, and self‐sensing structural materials.
Sanan H. Khan
wiley   +1 more source

DIAGNOSIS STATUS GUIDED BRAIN IMAGING GENETICS VIA INTEGRATED REGRESSION AND SPARSE CANONICAL CORRELATION ANALYSIS. [PDF]

Proc IEEE Int Symp Biomed Imaging, 2019
Du L, Liu K, Yao X, Risacher SL, Guo L, Saykin AJ, Shen L, ADNI.   +7 more
europepmc   +1 more source

Generalizing the Gaussian Network Model: Spanning‐Tree Thermodynamics Shows Entropy‐Driven KRAS Activation

Proteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT The GTPase KRAS executes a conformational switch between a GTP‐bound active state and a GDP‐bound inactive state, a process central to oncogenic signaling. However, the structural basis of this switching at the level of residue‐contact organization remains incompletely characterized by traditional binary structural models.
Fatma Senguler Ciftci, Burak Erman
wiley   +1 more source

Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort. [PDF]

Bioinformatics, 2019
Du L, Liu K, Zhu L, Yao X, Risacher SL, Guo L, Saykin AJ, Shen L, Alzheimer’s Disease Neuroimaging Initiative.   +8 more
europepmc   +1 more source

Microbiome‐mediated chemical communication in insects: Implications for pest management

Pest Management Science, EarlyView.
Microbiome–semiochemical interactions involve the following processes: direct microbial synthesis, host gene regulation, precursor biotransformation, microbiome modulation and indirect ecological signaling. Abstract Insects rely on semiochemicals to regulate aggregation, mating, foraging, and host selection. This review synthesizes evidence that insect‐
Ioannis Eleftherianos, Wei Zhang, Amr Mohamed, Rasha K. Al‐Akeel, Abeer M. Alkhaibari, Nemat Keyhani, Guy Smagghe   +6 more
wiley   +1 more source

Sparse canonical correlation analysis between an alcohol biomarker and self-reported alcohol consumption. [PDF]

Commun Stat Simul Comput, 2017
Helian S, Brumback BA, Cook RL.
europepmc   +1 more source

Lacking data? No worries! How synthetic images can alleviate image scarcity in wildlife surveys: A case study with muskox (Ovibos moschatus)

Remote Sensing in Ecology and Conservation, EarlyView.
This study investigates the integration of synthetic imagery, created with diffusion‐based models, to supplement limited training data and improve muskox (Ovibos moschatus) detection in zero‐shot (ZS) and few‐shot (FS) settings. ZS models detected more than 80% of muskoxen in real images, confirming the potential of synthetic data as a substitute for ...
Simon Durand, Samuel Foucher, Alexandre Delplanque, Joëlle Taillon, Jérôme Théau   +4 more
wiley   +1 more source

Joint sparse canonical correlation analysis for detecting differential imaging genetics modules. [PDF]

Bioinformatics, 2016
Fang J, Lin D, Schulz SC, Xu Z, Calhoun VD, Wang YP.   +5 more
europepmc   +1 more source

The Role of Energy Transition, Digitalization, and Green Goods in Material Footprints and Sustainability

Sustainable Development, EarlyView.
ABSTRACT This study investigates how green and non‐green goods, energy transition, digitalization, economic growth, and population affect the material footprint of G‐7 countries from 1990 to 2023. Using an extended STIRPAT framework, we show that green and non‐green goods increase material footprint, demonstrating the resource intensity associated with
Sohidul Islam, Shahzad Alvi, Scott J. Niblock, Hamid Ghazi H. Sulimany, Md. Mustaqim Roshid, Frédéric Mirindi   +5 more
wiley   +1 more source