Results 191 to 200 of about 1,328,289 (291)

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations

Advanced Intelligent Discovery, EarlyView.
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang, Min Zhu, Wei Xiong, Si‐Wei Liu, Lu Lu   +4 more
wiley   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source

SuperResNET: Model‐Free Single‐Molecule Network Analysis Software Achieves Molecular Resolution of Nup96

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li, Ismail M. Khater, Christian Hallgrimson, Ben Cardoen, Timothy H. Wong, Ghassan Hamarneh, Ivan R. Nabi   +6 more
wiley   +1 more source

Modeling and Characterization of a Self‐Sensing Soft Hydraulic Muscle

Advanced Intelligent Systems, EarlyView.
This article presents the self‐sensing soft hydraulic muscle (SSHM), a novel soft actuator capable of simultaneously sensing force and length without external sensors. A comprehensive model accurately predicts SSHM behavior, validated experimentally with minimal errors. Using propylene glycol enhances durability and reduces hysteresis.
Nhu An Phan, Phuong Linh Dao, Duc Tu Vu, The Doan Le, Sy Trung Ngo, Minh Tri Phan, T. Thang Vo‐Doan, Ke Wu, Mai Thanh Thai   +8 more
wiley   +1 more source

Uncovering renewable energy policy impact channels on land values, the local farm structure, and farmland heterogeneity

American Journal of Agricultural Economics, EarlyView.
Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt, Stefan Seifert, Saskia Wolff, Tobia Lakes, Marten Graubner, Axel Werwatz, Silke Hüttel   +6 more
wiley   +1 more source

Selinexor and Venetoclax Combination in Patients With Relapsed or Refractory Acute Myeloid Leukemia

American Journal of Hematology, EarlyView.
ABSTRACT Preclinical studies showed a synergistic antileukemia activity with combination of selective XPO1 inhibitor selinexor (SEL) and venetoclax (VEN), with potential to overcome VEN resistance by reducing the anti‐apoptotic protein MCL1. In an investigator‐sponsored, open‐label, phase Ib study (NCT03955783), adult patients with relapsed or ...
Somedeb Ball, Farrukh T. Awan, Ben K. Tomlinson, Tess Stopczynski, Melissa A. Fischer, Zhiguo Zhao, Kateryna Fedorov, Ashwin Kishtagari, Sanjay R. Mohan, Gregory D. Ayers, Michael T. Byrne, Michael R. Savona   +11 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

Drug cue enhances response conflict and reduces conflict adaptation in methamphetamine addiction. [PDF]

Psychol Res
Xu Y, Lu Y, Wang L.
europepmc   +1 more source

Simon effect for depth direction

The Proceedings of the Annual Convention of the Japanese Psychological Association, 2014
openaire   +2 more sources