Results 121 to 130 of about 417,336 (324)

XIAP Stabilizes DDRGK1 to Promote ER‐Phagy and Protects Against Noise‐Induced Hearing Loss

open access: yesAdvanced Science, EarlyView.
Mechanism of GAS‐mediated protection against noise‐induced hearing loss (NIHL). Noise exposure activates the ATF4/eIF2α axis, downregulating XIAP and promoting DDRGK1 degradation, thereby inhibiting ER‐phagy and leading to hair cell (HC) death. GAS treatment rescues XIAP and DDRGK1 expression, reactivating ER‐phagy to mitigate HC loss, synaptic damage,
Lin Yan   +13 more
wiley   +1 more source

Navigating the Ethereal Tightrope: The Nanogenerator Manipulates Neurons for Immune Equilibrium

open access: yesAdvanced Science, EarlyView.
This review explores how nanogenerators modulate neuroimmune responses, offering innovative strategies for treating neurological disorders. By interfacing with neural pathways, they enable precise control of immune activity, especially via vagus nerve stimulation.
Jia Du   +5 more
wiley   +1 more source

Spanish Expressive Voices: corpus for emotion research in Spanish [PDF]

open access: yes, 2008
A new emotional multimedia database has been recorded and aligned. The database comprises speech and video recordings of one actor and one actress simulating a neutral state and the Big Six emotions: happiness, sadness, anger, surprise, fear and disgust.
Barra Chicote, Roberto   +10 more
core  

The Mitochondrial Guardian α‐Amyrin Mitigates Alzheimer's Disease Pathology via Modulation of the DLK‐SARM1‐ULK1 Axis

open access: yesAdvanced Science, EarlyView.
Dietary habits play a key role in chronic diseases, and higher annual consumption of fruit and vegetable may lower risk of dementia. Artificial intelligence predicts the lipid‐like compound α‐Amyrin (αA) from plants with edible peels as a drug candidate against Alzheimer's disease.
Shu‐Qin Cao   +36 more
wiley   +1 more source

Review of Automatic Estimation of Emotions in Speech

open access: yesApplied Sciences
Identification of emotions exhibited in utterances is useful for many applications, e.g., assisting with handling telephone calls or psychological diagnoses. This paper reviews methods to identify emotions from speech signals.
Douglas O’Shaughnessy
doaj   +1 more source

The Microbiota Shapes Central Nervous System Myelination in Early Life

open access: yesAdvanced Science, EarlyView.
Gut microbiota shapes brain development by regulating myelination and glial cell maturation in early life. Using germ‐free (GF) mice and zebrafish, this study reveals sex‐ and age‐dependent effects on myelin growth, integrity, and related gene expression.
Caoimhe M. K. Lynch   +13 more
wiley   +1 more source

Multi-Stage Recognition of Speech Emotion Using Sequential Forward Feature Selection

open access: yesElectrical, Control and Communication Engineering, 2016
The intensive research of speech emotion recognition introduced a huge collection of speech emotion features. Large feature sets complicate the speech emotion recognition task.
Liogienė Tatjana   +1 more
doaj   +1 more source

Emotion recognition and confidence ratings predicted by vocal stimulus type and prosodic parameters

open access: yesHumanities & Social Sciences Communications, 2020
Human speech expresses emotional meaning not only through semantics, but also through certain attributes of the voice, such as pitch or loudness. In investigations of vocal emotion recognition, there is considerable variability in the types of stimuli ...
Adi Lausen, Kurt Hammerschmidt
doaj   +1 more source

Development of a Real-time Embedded System for Speech Emotion Recognition [PDF]

open access: yes, 2014
Speech emotion recognition is one of the latest challenges in speech processing and Human Computer Interaction (HCI) in order to address the operational needs in real world applications.
Samantaray, Amiya Kumar
core  

Mendelian Randomization and Double Machine Learning Modeling Reveal Brain Imaging‐Derived Phenotypes as Functional Contributors to 18 Autoimmune Inflammatory Diseases

open access: yesAdvanced Science, EarlyView.
This schematic integrates the eight statistically significant causal relationships identified between 1,366 brain imaging‐derived phenotypes (IDPs) and 18 autoimmune inflammatory diseases (AIDs). Arrows indicate the direction of causality inferred from bidirectional two‐sample MR analyses.
Jinbin Chen   +8 more
wiley   +1 more source

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