Results 141 to 150 of about 64,631 (217)

A Damage‐Gated Small‐Molecule Chimera Selectively Enhances Mitophagy by Coupling Dysfunctional Mitochondria to Autophagy

Advanced Science, EarlyView.
MG‐1 is a bifunctional small molecule that enhances the removal of damaged mitochondria through autophagy, the cell's recycling pathway. Its activity increases under mitochondrial stress, with minimal effects on basal autophagy. MG‐1 also improves movement in a zebrafish model of mitochondrial dysfunction, supporting further investigation of this ...
Ratislav M. Ozhiganov, Ekaterina А. Guseva, Alexander Yu. Rudenko, Konstantin G. Lyamzaev, Sofya Y. Sokolskaya, Julia A. Golubeva, Maria V. Belopolskaya, Nadezda V. Andrianova, Olga V. Fadeeva, Elena О. Morgun, Elena A. Tukhovskaya, Marina S. Kazakova, Vladimir M. Pavlov, Daria K. Yagoda, Elena I. Marusich, Rose‐Lys Zaranaina, Valeriya B. Vays, Irina M. Vangeli, Egor Y. Plotnikov, Maxim L. Lovat, Lora E. Bakeeva, Arkady N. Murashev, Vladimir I. Polshakov, Olga A. Dontsova, Peter V. Sergiev   +24 more
wiley   +1 more source

Relationships Between Gastrocnemius Medialis Muscle Architecture, Vertical Stiffness, and Vertical Jump Performance in Track and Field Athletes. [PDF]

J Funct Morphol Kinesiol
Tang W, Peng Z, Lu H, Paravlić AH, Wang R.   +4 more
europepmc   +1 more source

A CT Lesion Foundation Model for Non‐Invasive Assessment of Hepatocellular Carcinoma Aggressiveness and Prediction of Recurrence Risk

Advanced Science, EarlyView.
A computed tomography lesion foundation model, built by sequential self‐supervised pretraining on generic and hepatocellular carcinoma‐specific lesion images, non‐invasively assesses microvascular invasion and pathological grade from contrast‐enhanced CT and stratifies postoperative recurrence risk.
Wei Xia, Zhehan Shen, Mengsi Li, Jianxin Lu, Ji Xia, Yang Cheng, Wenzheng Li, Shunjie Dong, Lin Deng, Ruokun Li   +9 more
wiley   +1 more source

Robust and Compatible Ferroelectric Memories with Polycrystalline TiO2 Channel for 3D Integration

Advanced Electronic Materials, EarlyView.
Robust and monolithic 3D compatible ferroelectric memories are realized using the polycrystalline TiO2 channel‐based FeFET. The review covers physical mechanisms of the TiO2 channel FeFET, quantitative benchmarking, and advanced planar/vertical architectures for monolithic 3D integration based on HfO2‐TiO2 gate stack, offering a roadmap for reliable ...
Xujin Song, Chenxi Yu, Shangze Li, Dijiang Sun, Jiajia Zhang, Haotong Zhu, Xiaomin Xiao, Xionghao Qin, Xiaoyan Liu, Xing Zhang, Jinfeng Kang   +10 more
wiley   +1 more source

Enhancing Solar Power Forecasting Accuracy Using HMPCS and Machine Learning Techniques: An Applied Study. [PDF]

F1000Res
Abdul-Hussein Aziz A, Abbas IT.
europepmc   +1 more source

Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation

Advanced Electronic Materials, EarlyView.
A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang, Nellie Laleni, Sina Ranjbar, Andreas Tsiougkos, Nandakishor Yadav, Vasilis Pavlidis, Thomas Kämpfe   +6 more
wiley   +1 more source

Advanced PEBA-based membranes for enhanced removal of volatile organic compounds from wastewater. [PDF]

Discov Nano
Malekzadeh Dirin A, Saljoughi E, Mousavi SM, Kiani S, Ghorab S.   +4 more
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Does generative AI mean the "end of history" for pharmacovigilance automation? towards a framework for the future of human-AI systems. [PDF]

Front Drug Saf Regul
Wu L, Xu J, Dang O, Ball R.
europepmc   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source