Results 211 to 220 of about 4,458,250 (263)

Molecular Atlas of Key Food Odorants Reveals Mixture‐Level Organization and Enables Generative Aroma Design

Advanced Science, EarlyView.
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang, Huadong Xing, Antonella Di Pizio, Qinfei Ke, Xingran Kou, Dachuan Zhang   +5 more
wiley   +1 more source

Privacy-Aware Synthetic Tabular Data Generation for Healthcare: Application to Sepsis Detection. [PDF]

Bioengineering (Basel)
Macias-Fassio E, Morales A, Pruenza C, Fierrez J, Espósito C.   +4 more
europepmc   +1 more source

A General High‐Throughput Mucus Microrheology Platform for Quantitative and Scalable Mucus Phenotyping

Advanced Science, EarlyView.
High‐throughput Differential Dynamic Microscopy measures frequency‐resolved mechanical fingerprints from 3 to 10 μL$\umu{\rm L}$ mucus samples using only a few minutes of operator attention per sample. This automated analysis enables scalable mucus phenotyping for translational research by distinguishing mechanical heterogeneity among donors, disease ...
Feng Ling, Ayşe Tuğçe Şahin, Bernardo Miller Naranjo, Stefano Aime, Doris Roth, Anna Pukaluk, Niels Tepho, Romina Augustin, Benedetta Zampa, Andrea S. Vendrame, Mark‐Christian Klassen, Ellen Emken, Marion Kiechle, Mircea Gabriel Stoleriu, Pontus Mertsch, Ruth Olmer, Yohannes Tesfaigzi, Oliver Lieleg, Janna C. Nawroth   +18 more
wiley   +1 more source

Development of a Flow-through Cell for Ultrasonic Extraction (UE)─Single Particle (SP)─ICP-MS─an Approach for Nano/Microparticle Elemental and Isotopic Analysis. [PDF]

Anal Chem
Paul MK, Szakas SE, Thompson CV, Stanberry JS, Scott SM, Bergin RA, Ticknor BW, Andrews HB, Manard BT.   +8 more
europepmc   +1 more source

A Real‐Data‐Driven Framework for Evaluating Differential Transcript Usage Methods Across Long‐Read Bulk, Single‐Cell, and Spatial Transcriptomics

Advanced Science, EarlyView.
Grounded in real biological RNA‐seq data, the framework benchmarks ten differential transcript usage (DTU) methods across short‐read bulk, long‐read bulk, long‐read single‐cell, and long‐read spatial transcriptomics. By integrating reference transcript sets with ranked DTU results, the Transcript Set Enrichment Score (TSES) identifies data‐type ...
Chenxing Zhang, Jun Liu, Qi Zhao, Huilong Yin, Angang Yang, Minhua Zheng, Rui Zhang   +6 more
wiley   +1 more source

Disparities in fine particulate matter (PM_2.5) monitoring capacity in eastern Canada. [PDF]

Environ Res Health
Siu TK, Del Favero-Campbell A, Rainham DG, Chang RY, Greene CS, Fong KC.   +5 more
europepmc   +1 more source

Predicting Enzyme Turnover Numbers and Enabling Rational Enzyme Evolution

Advanced Science, EarlyView.
MCKcat, a deep learning framework combining multi‐scale convolution and cross‐attention, accurately predicts enzyme turnover number (kcat) by fusing sequence and reaction representations. It couples with rational design in a two‐step strategy for Bacillus aryabhattai laccase engineering, achieving a 75% positive rate with synergistically enhanced ...
Fengya Ge, Xiangyang Ma, Jiyan Li, Mengxiang Wang, Fuping Lu, Yihan Liu, Lin Wang   +6 more
wiley   +1 more source

Understanding Sex-Specific Behavioral States of Bobcats in Response to Highway Proximity in South Texas. [PDF]

Ecol Evol
Maharjan R, Kiernan S, Towson JG, Saldo EA, Langschied TM, Brookover EK, Scognamillo DG, Young JH, Tewes ME.   +8 more
europepmc   +1 more source

Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications

Advanced Science, EarlyView.
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen, Jiahui Lai, Qiongjiao Zeng, Liangbin Zhou, Boguang Yang, Bin Zhang, Min Wang, Jiajing Zhou, Kieran Lau, Khoon S. Lim, Zhong Alan Li, Rocky S. Tuan   +11 more
wiley   +1 more source

Retrospective Grid Cells in the Medial Entorhinal Cortex Encode Past Paths During Spatial Navigation

Advanced Science, EarlyView.
Retrospective grid cells are identified in the medial entorhinal cortex, with spatial firing patterns that become most grid‐like when activity is projected onto recently traversed locations. Their coding loses spatial precision in darkness and is disrupted during assisted movement, indicating that entorhinal representations incorporate recent path ...
Ruojin Liu, Xin Yuan, Zilong He, Hong Jin, Jiayi Tian, Cong Chen, Yuanjing Liu, Xiang Zhang, Shidan Wen, Emilio Kropff, Chenglin Miao   +10 more
wiley   +1 more source