Results 131 to 140 of about 37,653 (292)

Multiscale electrophysiology format: an open-source electrophysiology format using data compression, encryption, and cyclic redundancy check. [PDF]

Annu Int Conf IEEE Eng Med Biol Soc, 2009
Brinkmann BH, Bower MR, Stengel KA, Worrell GA, Stead M.   +4 more
europepmc   +1 more source

Metarhizium anisopliae Mitigates the Phytotoxicity of Lead and Nanoplastics on Rice by Modifying Physiological, Transcriptomic, Metabolomic Activities, and Soil Microbiome

Advanced Science, EarlyView.
Metarhizium anisopliae alleviates the phytotoxic effects of polyethylene nanoplastics (NP) and lead (Pb) in rice by decreasing Pb uptake, restoring antioxidant and hormonal equilibrium, and promoting growth. Additionally, the fungus modifies the rhizosphere microbiota, enhancing both contaminant tolerance and plant growth, thereby effectively ...
Jing Peng, Qi Yan, Muhammad Umair Hassan, Muhammad Imran, Fasih Ullah Haider, Jianfeng Liang, Xingmin Wang, Shaukat Ali   +7 more
wiley   +1 more source

Living Hydrogels: Harnessing Microorganism–Material Synergy for Next‐Generation Therapeutics

Advanced Science, EarlyView.
 . ABSTRACT Microorganism‐based therapies, particularly those utilizing probiotics, have emerged as a powerful biomedical strategy owing to their inherent living functionalities. These living systems can dynamically interact with host environments and self‐regulate their activity, offering superior adaptability, prolonged functionality, and ...
Shuifang Mao, Bingyao Bai, Xingqian Ye, Yiliang Lin   +3 more
wiley   +1 more source

Variable redundancy product coders [PDF]

Variable redundancy error detection ...
Sollman, G. H., Weng, L. J.
core   +1 more source

Compensatory Interplay Between Clarin‐1 and Clarin‐2 Deafness‐Associated Proteins Governs Phenotypic Variability in Hearing

Advanced Science, EarlyView.
Functional compensation between clarin‐1 and clarin‐2 in cochlear hair cells. Hearing loss associated with CLRN1 mutations shows striking phenotypic variability; however, the underlying mechanisms remain poorly understood. This study reveals that clarin‐1 and clarin‐2 function cooperatively in cochlear hair cells to sustain mechanoelectrical ...
Maureen Wentling, Aïda Yakhlef Sanchez, Nicolas Thelen, Müge Senarisoy, Maria Hogg, Steven Condamine, Andrea Lelli, Emilia Wysocka, Pranav Patni, Sandrine Vitry, Kerem Yasin Yildizhan, Sébastien Le Gal, Sylvie Nouaille, Michael R. Bowl, Marc Thiry, Didier Dulon, Sedigheh Delmaghani, Aziz El‐Amraoui   +17 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model

Advanced Science, EarlyView.
Understanding protein sequence–function relationships remains challenging due to poorly defined motifs and limited residue‐level annotations. An annotation‐agnostic framework is introduced that segments protein sequences into “protein words” using attention patterns from protein language models.
Hedi Chen, Jingrui Zhong, Xiaochun Zhang, Jingke Chen, Lin Guo, Xiaoliang Xiong, Xiaonan Zhang, Xiangyu Liu, Bailong Xiao, Boxue Tian   +9 more
wiley   +1 more source

Patient‐Derived 3D‐Bioprinted Intrahepatic Cholangiocarcinoma Models Recapitulate Tumor Autologous Traits and Predict Personalized Adjuvant Therapy

Advanced Science, EarlyView.
Leveraging 3D bioprinting, this study establishes patient‐derived in vitro models of intrahepatic cholangiocarcinoma. These models faithfully recapitulate the histopathology, molecular profiles, and genomic characteristics of the original patient tumors.
Yuce Lu, Liwei Du, Minghao Sun, Kai Zhang, Mingchang Pang, Shangze Jiang, Jiaxun Dong, Xiyue Liu, Bao Jin, Fu Xu, Hang Sun, Jiangang Zhang, Huiyu Yang, Xiaobo Yang, Xin Lu, Yiyao Xu, Haitao Zhao, Shunda Du, Xinting Sang, Yongchang Zheng, Lei Zhang, Xueshuai Wan, Huayu Yang, Yilei Mao   +23 more
wiley   +1 more source

Multimodal Super‐Resolution Imaging of Nitrogen‐Vacancy Centers via High‐Index‐Induced Structured Illumination Microscopy and Optically Detected Magnetic Resonance Spectrometry

Advanced Science, EarlyView.
This work demonstrates a multimodal super‐resolution imaging technique for nitrogen‐vacancy centers by integrating high‐index‐induced structured illumination with optically detected magnetic resonance. By utilizing diamond's high refractive index, the method achieves sub‐100‐nm spatial resolution and enhanced localization. This dual‐modulation strategy
Kyu Ri Choi, Mohammed Zia Jalaludeen, Samuel Begumya, Yan Qiu Du, Dong Hee Park, Bin Chan Joo, Jae Hwan Yoo, Síle Nic Chormaic, Shilong Li, Yeon Ui Lee   +9 more
wiley   +1 more source

Forecasting Root Rot Disease through Predictive Microbial Functional Profiling

Advanced Science, EarlyView.
Predicting soil‐borne disease moves beyond observation with a framework that elevates microbial functional genes into reliable forecasting biomarkers. By coupling targeted qPCR assays for core stress‐response genes with machine learning, this method detects root rot risks in pre‐symptomatic soils with over 80% accuracy.
Chuan You, Peng Ren, Ying Guan, Kai Gong, Zhen Hua, Wuxian Zhou, Xinlan Mei, Yikui Wang, Xiaofang Wang, Yangchun Xu, Qirong Shen, Zhong Wei   +11 more
wiley   +1 more source