Results 231 to 240 of about 166,958 (306)

Calcineurin‐Dependent Stress Adaptation Enables Caspofungin Heteroresistance Leading to Stable Resistance in Candida Glabrata

Advanced Science, EarlyView.
Caspofungin heteroresistance is prevalent in clinical Candida glabrata isolates and depends on calcineurin‐mediated stress adaptation. This transient phenotype serves as a reservoir for resistance evolution, enabling the emergence of stable resistant descendants under prolonged drug pressure.
Yanyu Su, Yi Li, Meng Xiao, Dan Guo, David S. Perlin, Erika Shor, Yingchun Xu, Yingxing Li   +7 more
wiley   +1 more source

Improving pear fruit quality without yield loss through 3D point cloud-based estimation of reasonable fruit load. [PDF]

Plant Phenomics
Zhang F, Xu H, Wu G, Wang Q, Zhang Y, Zhang S, Mu Y, Ninomiya S, Tao S.   +8 more
europepmc   +1 more source

Multi‐tissue Metabolic GWAS and Drought‐Responsive Multi‐omics Reveal the Genetic Basis of the Quinoa Metabolome

Advanced Science, EarlyView.
A multi‐omics framework combining multitissue genome‐wide association studies, metabolomics, transcriptomics, proteomics, and functional validation uncovers the genetic basis of specialized metabolism in quinoa. The study identifies hundreds of metabolite‐associated loci, prioritizes candidate genes for saponin, betalain, and flavonoid biosynthesis ...
Julia von Steimker, Elodie L. Rey, Clara Stanschewski, Regina Wendenburg, Annabella Klemmer, Markéta Macho, Venkatesh P. Thirumalaikumar, Noha O. Saber, Aleksandra Skirycz, Alisdair R. Fernie, Mark Tester, Saleh Alseekh   +11 more
wiley   +1 more source

Surface Energy Modulated Self‐Assembly of Percolative Gallium Nanodroplet Films for Stretchable Electronics

Advanced Electronic Materials, EarlyView.
Surface‐energy guided self‐assembly of liquid metals enables the transformation of liquid metal micro/nanodroplets into continuous perocolative films on elastomeric substrates. By tailoring interfacial energetics and wetting behavior, uniform, conductive, and stretchable films are achieved, offering scalable pathways for high‐performance soft ...
Alwar Samy Ramasamy, Gayatri Subhalaxmi, Sneha Banerjee, Mark Vailshery, Renu Raman Sahu, Sivakumar K.S, Ajisha Chathyattu, Tapajyoti Das Gupta   +7 more
wiley   +1 more source

SNaQ.jl: Improved scalability for level-1 phylogenetic network inference. [PDF]

Bioinformatics
Kolbow N, Kong S, Chafin T, Justison J, Ané C, Solís-Lemus C.   +5 more
europepmc   +1 more source

Machine Learning‐Assisted Design and Performance Prediction of a Compact Dual‐Band Polarization‐Insensitive THz Metamaterial Absorber for Skin‐Cancer‐Related Refractive‐Index Sensing

Advanced Electronic Materials, EarlyView.
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun, S. M. Rifatur Rana, Md. Golam Morshed, Imrose Jahan, F. A. Sabbir Ahamed, Md. Jahedul Islam   +5 more
wiley   +1 more source

Estimation of individual tree aboveground biomass of genetically diverse <i>Catalpa bungei</i> based on nonlinear mixed-effects models and UAV LiDAR data. [PDF]

Front Plant Sci
Fu X, Ma W, Chen Q, Fu L, Zhang M, Duan G, Zhang Y, Zheng Z, Wu C, Wang Q, Shun Y, Li P.   +11 more
europepmc   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Enhanced Prediction of Cardiovascular Disease Through Integrated Machine Learning Models Combining Clinical and Demographic Characteristics. [PDF]

Diagnostics (Basel)
Zhang Z, Li D, Zhao J, Ma H, Wang F, Hao Q.   +5 more
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source