Results 61 to 70 of about 5,971 (185)

Highly Sensitive Detection of Human Serum Albumin Biomarker Using a Molecularly Imprinted Polymer‐Based Electrochemical Capacitance Sensor

Advanced Sensor Research, EarlyView.
An electrosynthesized protein‐imprinted polymer (poly(azo‐BBY)) enables probe‐free, real‐capacitance detection of human serum albumin at 0.02 ng mL−1 within a 0.25–3.0 ng mL−1 window. The device uses a redox‐mediator‐free architecture and maintains selectivity against common interferents, illustrating a simple, scalable route to high‐sensitivity ...
Heitor F. Trevizan, Pedro C. M. Pizzol, André Olean‐Oliveira, Patrícia Monteiro Seraphim, Marcos F. S. Teixeira   +4 more
wiley   +1 more source

Human iPSC‐Derived Mononuclear Phagocytes Improve Cognition and Neural Health across Multiple Mouse Models of Aging and Alzheimer's Disease

Advanced Science, EarlyView.
Short‐term intravenous treatments with iPSC‐derived mononuclear phagocytes (iMPs) improve cognitive decline and neural health in two mouse models of aging and in the 5xFAD mouse model of Alzheimer's disease. iMPs reduce levels of serum amyloid proteins that increase in aging and improve the health of hippocampal microglia and mossy cells.
V. Alexandra Moser, Luz Jovita Dimas‐Harms, Rachel M. Lipman, Jake Inzalaco, Shaughn Bell, Michelle Alcantara, Erikha Valenzuela, George Lawless, Simion Kreimer, Sarah J. Parker, Helen S. Goodridge, Clive N. Svendsen   +11 more
wiley   +1 more source

Quantitative Profiling of Nanoscopic Protein Aggregates Reveals Specific Fingerprint of TDP‐43‐Positive Assemblies in Motor Neuron Disease

Advanced Science, EarlyView.
Single‐molecule fluorescence microscopy is combined with proteomic profiling to fingerprint the morphology and composition of TDP‐43 protein aggregates found in post‐mortem motor neuron disease brain tissues. Aggregate fingerprints can distinguish disease from control donors and detect unexpected TDP‐43 pathology in SOD1‐MND.
Dezerae Cox, Melanie Burke, Sara Milani, Matthew A White, Fergal M Waldron, Dorothea Böken, Evgeniia Lobanova, Jemeen Sreedharan, Jenna M Gregory, David Klenerman   +9 more
wiley   +1 more source

A Natural Major Module Confers the Trade‐Off between Phenotypic Mean and Plasticity of Grain Chalkiness in Rice

Advanced Science, EarlyView.
This study reveals the genetic and molecular mechanisms controlling the general trade‐off between phenotypic mean and plasticity of grain chalkiness in rice and identifies two major external drivers (high temperature and wide grain) and a natural major module (GCP6‐MPC5) that control this trade‐off.
Juncheng Zhang, Yu Du, Pengkun Xu, Luyu Zhong, Zhi Li, Wenran Zhu, Yicheng Li, Bo Cheng, Xinyuan Chang, Yawei Fan, Yibo Li   +10 more
wiley   +1 more source

The Race of the Interpreter: I\u27m Not Going To Spend My Life Being A Color... [PDF]

, 2011
I am often put into an interesting place when recounting the tales of history. My passion is the history of race and abolition, the Civil War and the development of Civil Rights in the wake of the memory of our great fratricidal conflict.
Rudy, John M.
core   +1 more source

Depth‐Dependence Changes in Soil Stoichiometry in China's Croplands Over the Past Four Decades

Advanced Science, EarlyView.
This study reveals depth‐dependent changes in soil C:N:P ratios across Chinese croplands over four decades. Changes in stoichiometry vary markedly between topsoil and subsoil, with initial soil C:N:P ratios playing a key role in determining their trajectories.
Xiaodong Sun, Zhenghu Zhou, Yiqi Luo, Qingzhu Gao, Hu Li, Shuo Liu, Minggang Xu, Yu'e Li, Andong Cai   +8 more
wiley   +1 more source

The Potential of Cognitive‐Inspired Neural Network Modeling Framework for Computer Vision

Advanced Science, EarlyView.
In article number 202507730, Guorun Li, Lei Liu, Yuefeng Du, and co‐workers present a cognitive modeling framework (CMF) to bridge the ‘representation gap’ and ‘conceptual gap’ between cognitive theory and vision deep neural networks (VDNNs). The research findings provide new insights and solid theoretical support for VDNN modeling inspired by ...
Guorun Li, Lei Liu, Xiaoyu Li, Yuefeng Du, Zhenghe Song, Xiuheng Wu   +5 more
wiley   +1 more source

Interpretable PROTAC Degradation Prediction With Structure‐Informed Deep Ternary Attention Framework

Advanced Science, EarlyView.
PROTAC‐STAN, a structure‐informed deep learning framework is presented for interpretable PROTAC degradation prediction. By modeling molecular hierarchies and protein structures, and simulating ternary interactions via a novel attention network, PROTAC‐STAN achieves significant performance gains over baselines.
Zhenglu Chen, Chunbin Gu, Shuoyan Tan, Xiaorui Wang, Yuquan Li, Mutian He, Ruiqiang Lu, Shijia Sun, Chang‐Yu Hsieh, Xiaojun Yao, Huanxiang Liu, Pheng‐Ann Heng   +11 more
wiley   +1 more source

SCORCH2: A Generalized Heterogeneous Consensus Model for High‐Enrichment Interaction‐Based Virtual Screening

Advanced Science, EarlyView.
Researchers developed SCORCH2, an advanced machine‐learning scoring function for virtual screening that combines two complementary XGBoost models to re‐evaluate protein‐ligand binding plausibility. The method demonstrates superior performance on standard benchmarks, shows excellent generalization to previously unseen protein targets, and provides ...
Lin Chen, Vincent Blay, Pedro J. Ballester, Douglas R. Houston   +3 more
wiley   +1 more source

Enhancing Spatial Transcriptomics via Spatially Constrained Matrix Decomposition with EDGES

Advanced Science, EarlyView.
Imaging‐based spatial transcriptomics technologies are currently limited by their restricted gene detection capacity and low measurement accuracy. Moreover, the insufficient integration of spatial context and single‐cell reference data poses a significant challenge for comprehensive data analysis.
Jinyue Zhao, Jiating Yu, Yuqing Cao, Fan Yuan, Ling‐Yun Wu, Duanchen Sun   +5 more
wiley   +1 more source