Results 111 to 120 of about 159,161 (308)

Transcriptomic predictors of rapid progression from mild cognitive impairment to Alzheimer's disease

Alzheimer’s Research & Therapy
Background Effective treatment for Alzheimer’s disease (AD) remains an unmet need. Thus, identifying patients with mild cognitive impairment (MCI) who are at high-risk of progressing to AD is crucial for early intervention.
Yi-Long Huang, Tsung-Hsien Tsai, Zhao-Qing Shen, Yun-Hsuan Chan, Chih-Wei Tu, Chien-Yi Tung, Pei-Ning Wang, Ting-Fen Tsai   +7 more
doaj   +1 more source

Interpretable Machine Learning for Solvent‐Dependent Carrier Mobility in Solution‐Processed Organic Thin Films

Advanced Intelligent Discovery, EarlyView.
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Three Synchronized, Miniaturized, Wireless Inertial Measurement Unit Sensors for Automated Gait and Balance Analysis System

Advanced Intelligent Systems, EarlyView.
This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi, Ki‐Hoon Kim, Heung Jin Park, Yuna Kim, Hyunjin Lee, Yu Bin Lee, Youn Joung Kang, Sungchul Huh, Min‐Ho Seo   +8 more
wiley   +1 more source

Changes in genomic 5-methylcytosine level mirror the response of orthodox (Acer platanoides L.) and recalcitrant (Acer pseudoplatanus L.) seeds to severe desiccation

Tree Physiology, 2018
B. Plitta-Michalak, M. Naskręt-Barciszewska, Szymon Kotlarski, D. Tomaszewski, T. Tylkowski, J. Barciszewski, P. Chmielarz, M. Michalak   +7 more
semanticscholar   +1 more source

QS4D: Quantization‐Aware Training for Efficient Hardware Deployment of Structured State‐Space Sequential Models

Advanced Intelligent Systems, EarlyView.
Quantization‐aware training creates resource‐efficient structured state space sequential S4(D) models for ultra‐long sequence processing in edge AI hardware. Including quantization during training leads to efficiency gains compared to pure post‐training quantization.
Sebastian Siegel, Ming‐Jay Yang, Younes Bouhadjar, Maxime Fabre, Emre Neftci, John Paul Strachan   +5 more
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

A Systematic Review of Adverse Childhood Experiences and Epigenetic Age Acceleration in Later Adult Life Measured With Second and Third‐Generation Epigenetic Clocks

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT We examined the relationship between adverse childhood experiences (ACEs) and epigenetic age acceleration (EAA) in adulthood as measured by second and third generation epigenetic clocks by performing a systematic review of the literature. The electronic databases MEDLINE and EMBASE were searched on 17 July 2023.
Matthew Green, Laura Horsfall, Azam Saied   +2 more
wiley   +1 more source

Total phenolic and flavonoid bark Acer velutinum and Alnus subcordata, and evaluation of their antioxidant effects

مجله دانشگاه علوم پزشکی بیرجند, 2014
Background and Aim: Plants are a rich source of phenolic compounds as natural antioxidants are important. Antioxidant compounds that prevent the spread of diseases and the destruction of many of the foods they are extracted from the bark of Acer ...
Salehe Nazari, Nooredin Nazarnezhad, Mohamadali Ebrahimzadeh   +2 more
doaj  

Facilitating Genetic Testing for Perinatal Demise: Development of a Multidisciplinary Workflow

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Genetic contributors to perinatal demise are common but frequently undiagnosed due to clinical and logistical barriers. We aimed to improve access to genetic for intrauterine fetal demise (IUFD), stillbirth, and early neonatal death by developing a multidisciplinary workflow.
Mackenzie Mosera, Samantha Stover, Elise Boos, Molly Casey, Joseph Fanning, Chelsea Fechter, Matthew Grace, L. Dupree Hatch, Michaela Ibach, Carla Jackson, Jiancong Liang, Caitlin Mann, Emily A. Morris, Jessica Turnbull, Marie Williams, Bryce A. Schuler   +15 more
wiley   +1 more source