Results 81 to 90 of about 43,481,631 (253)

TECTB Variants Reveal Tectorial Membrane Vulnerability in Dominant Non‐Syndromic Hearing Loss

open access: yesAdvanced Science, EarlyView.
TECTB is a non‐collagenous protein of the tectorial membrane – an extracellular matrix of the cochlea. This study identifies dominant missense variants in TECTB linked to human hereditary deafness in two unrelated families. Genetically engineered mice homozygous for one of the variants are profoundly deaf, whereas heterozygous mice have normal hearing ...
Evan B. Hale   +23 more
wiley   +1 more source

Unsupervised Data-driven Hidden Markov Modeling for Text-dependent Speaker Verification

open access: yes, 2017
International audienceWe present a text-dependent speaker verification system based on unsupervised data-driven Hidden Markov Models (HMMs) in order to take into account the temporal information of speech data. The originality of our proposal is to train
Petrovska-Delacrétaz, Dijana   +3 more
core   +1 more source

FOXP1 Knockdown Reprograms Th9 CAR‐T Cells to Overcome Antigen Escape

open access: yesAdvanced Science, EarlyView.
FOXP1 knockdown enhances Th9 CAR‐T cell function by promoting IL‐9 production, effector activation, and reduced exhaustion. Reprogrammed Th9 CAR‐T cells strengthen direct tumor killing and activate endogenous antitumor immunity through dendritic cells and CD8+ T cells, thereby suppressing both antigen‐positive and antigen‐loss tumor growth and ...
Yihan Zhu   +14 more
wiley   +1 more source

Predicting Enzyme Turnover Numbers and Enabling Rational Enzyme Evolution

open access: yesAdvanced 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   +6 more
wiley   +1 more source

Unraveling the Effects of Depolarization in Ultrathin Barium Titanate

open access: yesAdvanced Science, EarlyView.
This article employs synchrotron‐based spectroscopy, time‐resolved electrical measurements, and phase‐field simulations to establish reverse‐domain formation as the mechanism of polarization loss in ultrathin BaTiO3${\rm BaTiO}_3$ films as a critical obstacle to low‐voltage ferroelectric devices.
Thomas Lee   +6 more
wiley   +1 more source

Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors

open access: yesAdvanced Electronic Materials, EarlyView.
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko   +3 more
wiley   +1 more source

The Influence of Residual Ion Drift During Programming of Chip‐Integrated Nanoscale HfO2‐Based Memristive Devices

open access: yesAdvanced Electronic Materials, EarlyView.
1T1R‐arrays combining filamentary‐type memristors and CMOS transistors offer great potential for energy‐efficient analog hardware accelerators. Here, transient SET analysis of nanoscale HfO2 memristors integrated on 180 nm CMOS wafers is discussed.
Oliver Artner   +11 more
wiley   +1 more source

A Neural Network-Based Text-Dependent Speaker Verification System Using Suprasegmental Features

open access: yes, 2008
\Lambda, sundarg.iitm.ernet.in Abstract In this paper, we propose two neural network-based approaches, namely, One Speaker One Network and One Speaker Multiple Networks, for text-dependent speaker verification using suprasegmental features.

core  

A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation

open access: yesAdvanced Energy Materials, EarlyView.
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou   +34 more
wiley   +1 more source

Blood‐Based Biomarkers in Alzheimer's Disease: Advances in Detection Technologies and Clinical Applications

open access: yesAGING MEDICINE, EarlyView.
Blood‐based biomarkers are emerging as accessible tools for Alzheimer's disease screening, diagnosis, risk stratification, and longitudinal monitoring. This review summarizes major biomarkers, including Aβ42/Aβ40, phosphorylated tau species, NfL, GFAP, genetic risk markers, and exploratory inflammatory, synaptic, and proteomic candidates.
Shuangshuang Li, Lin Huang, Qihao Guo
wiley   +1 more source

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