Results 81 to 90 of about 14,326 (251)

Omniscience et polyphonie : esthétique de l’engagement dans L’espace d’un cillement de Jacques Stephen Alexis

Il Tolomeo, 2019
This article is a sociocritical reading of the novel L’espace d’un cillement (1959) by Jacques Stephen Alexis. In  this novel the Carib is an important chronotope and the magic realism, understood as programmatic discourse, reaches a peculiar level of
Kwaterko, Józef
doaj   +1 more source

A Humanized Anti‐gD Broadly Neutralizing Antibody Confers Complete Post‐Exposure Protection against Pseudorabies Virus

Advanced Science, EarlyView.
Pseudorabies virus (PRV), an emerging zoonotic α‐herpesvirus, causes life‐threatening human encephalitis. We identified a broad‐spectrum neutralizing antibody 6F7 targeting PRV gD. It blocks gD‐Nectin‐1 binding and membrane fusion, inhibiting replication across all PRV variants, representing a promising candidate for anti‐PRV therapy.
Yue Sun, Jianbo Liu, Shi‐Jia Xu, Meng‐Xin Wang, Hongliang Zhang, Yanhe Zhang, Zhi‐Jun Tian, Jin‐Mei Peng, Xin Yin, Tong‐Qing An, Xue‐Hui Cai, Yan‐Dong Tang   +11 more
wiley   +1 more source

Oxygen Vacancy‐Enriched Platinum Single‐Atom Nanozyme Wrapped in Nanoislands: Unlocking Catalytic Activity and Reprogramming Redox Microenvironment for Osteonecrosis Repair

Advanced Science, EarlyView.
CeO2‐x/Pt single‐atom nano‐island is constructed via low‐temperature reduction, featuring abundant oxygen vacancies and an island–sea structure. It delivers outstanding multi‐enzyme‐mimetic activity and ROS‐scavenging efficiency. Density functional theory reveals optimized electronic structures and reaction pathways.
Yang Zhu, Zehui Lv, Xuejie Cai, Penghui Wei, Dengliang Wang, Zhao Wang, Ruoying Wang, Yingjie Wang, Xingdong Yang, Yixin Bian, Jiawei Xu, Xisheng Weng, Liangfeng Wei   +12 more
wiley   +1 more source

ProSiteHunter: A Unified Framework for Sequence‐Based Prediction of Protein‐Nucleic Acid and Protein‐Protein Binding Sites

Advanced Science, EarlyView.
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou, Qihang Zhen, Zexin Lv, Xinyue Cui, Suhui Wang, Minghua Hou, Zhan Zhou, Xiaogen Zhou, Guijun Zhang   +8 more
wiley   +1 more source

Machine Learning‐Enhanced Ultrasensitive Immuno‐CRISPR Array Facilitates Early Diagnosis of Alzheimer's Disease by Detecting Multiple Plasma Biomarkers

Advanced Science, EarlyView.
This work presents a CRISPR‐based, ultrasensitive multiplex protein detection array capable of simultaneously analyzing six plasma biomarkers associated with Alzheimer's disease (AD). By integrating antibody‐mediated signal transduction, recombinase polymerase amplification, and spatially encoded CRISPR‐Cas12a, the system achieves detection sensitivity
Liding Zhang, Changwen Yang, Qian Yao, Xuewei Du, Shuai Ding, Yaoqiang Shi, Can Sheng, Ming Wang, Ying Han, Haiming Luo   +9 more
wiley   +1 more source

Surfaceome Reprogramming of Stemsomes Promotes Lung Cancer Targeting via Potentiated Receptor–Ligand Interactions

Advanced Science, EarlyView.
This study presents a surfaceome‐reprogramming strategy for mutation‐independent lung cancer therapy by repurposing dexamethasone to prime mesenchymal stem cell‐derived nanovesicles. The engineered vesicles leverage multi‐valent interactions mediated by upregulated adhesion proteins, EPHA2, and NOTCH3.
Geunhye Kim, In Ah Kwon, Bo Seop Jeong, Hyo Seon Kim, Joo‐Hwan Park, Sung Jean Park, Sang‐Rae Lee, Youngki Lee, Dongwoo Khang   +8 more
wiley   +1 more source

An exciting Approach to Theoretical Spectroscopy

Advanced Science, EarlyView.
ABSTRACT Theoretical spectroscopy, and more generally, electronic‐structure theory, are powerful concepts for describing the complex many‐body interactions in materials. They cover methods from ground‐state properties to lattice excitations and light‐matter interaction, including time‐resolved variants.
Martí Raya‐Moreno, Alexander Buccheri, Noah Alexy Dasch, Nasrin Farahani, Ignacio Gonzalez Oliva, Andris Gulans, Seokhyun Hong, Manoar Hossain, Hannah Kleine, Martin Kuban, Sven Lubeck, Benedikt Maurer, Pasquale Pavone, Fabian Peschel, Daria Popova‐Gorelova, Lu Qiao, Elias Richter, Santiago Rigamonti, Ronaldo Rodrigues Pela, Maximilian Schebek, Kshitij Sinha, Daniel T. Speckhard, Jan Stutz, Sebastian Tillack, Dmitry Tumakov, Jānis Užulis, Mara Voiculescu, Cecilia Vona, Mao Yang, Claudia Draxl   +29 more
wiley   +1 more source

Adipocyte Myoglobin Is a Determinant of Energy Expenditure and a Potential Target to Limit Obesity

Advanced Science, EarlyView.
Myoglobin, known as a muscle oxygen‐carrying protein, is shown to play a key role in fat cells that burn energy. Loss of myoglobin reduces the body's ability to generate heat and increases obesity risk, while restoring it improves metabolism. The study identifies myoglobin as a regulator of fat burning and a potential target to enhance energy ...
Christian Strehlau, Helen Broghammer, Claudia Gebhardt, Anne Hoffmann, Tobias Hagemann, Şeyma Midilli, Rachel S. Zimmer, Kristin Schubert, Vasiliki Karagiannakou, Anastasia Georgiadi, Mario Ost, Martin Krüger, Lisa Roth, Kerstin Krause, Nora Klöting, Maria Keller, Martin Wabitsch, Rima Nuwayhid, Roland H. Stimson, Michael Stumvoll, Matthias Blüher, Juliane Weiner, John T. Heiker   +22 more
wiley   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source