Results 141 to 150 of about 24,031 (215)

Stance and Gait Analysis of Apollo Astronauts on the Moon. [PDF]

Muscle Nerve
Chiou-Tan FY, Li C, Caffrey JP, Reschke M, Macaulay TR.   +4 more
europepmc   +1 more source

SIRT7‐Mediated H2BK120 Succinylation Drives Aberrant Mitophagy in Sepsis‐Associated Cognitive Dysfunction

Advanced Science, EarlyView.
Sepsis triggers hippocampal SIRT7 loss, promoting histone H2B succinylation and activation of the PD‐1/PD‐L1–PINK1 axis. This metabolic‐epigenetic cascade drives aberrant mitophagy and neuronal injury, ultimately causing cognitive deficits. Targeting SIRT7‐dependent succinylation offers a potential strategy to protect brain function during sepsis ...
Na Meng, Jiateng Zhou, Xiaoyu Guo, Ting Hong, Xuelian Li, Xingyu Wei, Chanhua Zhang, Xixue Zhang, Songbin Liu, Yulin Zhang, Liangfang Yao, Lina Huang, Weidong Gu   +12 more
wiley   +1 more source

Thermal Tightrope: Trajectory Dynamics of Levitating Droplet Clusters under Variable Temperature Conditions. [PDF]

Langmuir
Huaman IA, Zun PS, Fedorets AA, Nosonovsky M, Skorb EV.   +4 more
europepmc   +1 more source

Decoding the Neural Circuit Underlying Context‐Cue Association in Retrieval of Morphine Reward Memory

Advanced Science, EarlyView.
Contextual cues recruit the glutamatergic vCA1–dmPFC pathway to retrieve morphine reward memory by reshaping cell‐type‐specific prefrontal microcircuit activity. Distinct regulation of PV+ and SST+ interneurons defines this hippocampal–prefrontal mechanism.
Zhifeng Shi, Guangying Li, Qian Yang, Rusun Liu, Linghan Gu, Mingmei Wang, John L. Waddington, Fuhai Ji, Xuechu Zhen   +8 more
wiley   +1 more source

PyNeon: A Python package for the analysis of Neon multimodal mobile eye-tracking data. [PDF]

Behav Res Methods
Chu Q, Hartel JG, Lepauvre A, Melloni L.
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

AI-Generated "Slop" in Online Biomedical Science Educational Videos: Mixed Methods Study of Prevalence, Characteristics, and Hazards to Learners and Teachers. [PDF]

JMIR Med Educ
Jones EM, Newman JD, Kim B, Fogle EJ.
europepmc   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

Automation of Monitoring Compliance with Technological Regulations Using the Example of the Process of Filling Petroleum Products. [PDF]

J Imaging
Sidorov A, Zaripov A, Tikshaev I, Pozdyshev V.   +3 more
europepmc   +1 more source