Results 91 to 100 of about 7,912 (256)

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

THE BENEFITS OF A SPECIAL CRIMINAL PROCEEDINGS IN ABSENTIA [PDF]

Challenges of the Knowledge Society, 2019
A criticism of the national legislator’s decision not to introduce a shortened hearing as a special criminal procedure in absentia, which would exclude the Preliminary Chamber and would leave the civil action unsolved.
Ioan-Paul CHIȘ
doaj  

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

The Preliminary Ruling Procedure in a Nearly Six Decades Perspective

Hungarian Yearbook of International Law and European Law, 2018
In their ambitious monograph on preliminary ruling procedure, Marten Broberg and Niels Fenger suggest that the preliminary ruling procedure is strongly threatened by the risk of becoming a victim of its own success. This is primarily reflected in the large and growing number of references which seems to be unmanageable. Hereunder, I will consider these
openaire   +2 more sources

Ultrasound‐Activatable Piezoelectric Hydrogel Reprograms Mitochondrial Epigenetics for Osteoarthritis Therapy via the mTOR/GATD3A Axis

Advanced Science, EarlyView.
An ultrasound‐activatable piezoelectric hydrogel reprograms chondrocyte mitochondrial epigenetics via the mTOR/GATD3A axis, clearing damaged mitochondria and alleviating osteoarthritis progression in both mouse models and human cartilage explants. ABSTRACT The avascular nature of cartilage hinders drug delivery for osteoarthritis (OA) therapy.
Hui Zheng, Pengfei Yan, Peng Liu, Chang Yan, Mengqi Zhao, Zuyong Wang, Chao Ma, Rongkai Zhang, Xi Cui, Swee Hin Teoh   +9 more
wiley   +1 more source

Dual‐Module Near‐Infrared Fluorophores Discovery System via Knowledge Transfer

Advanced Science, EarlyView.
This study presents a dual‐module deep learning system for the design of near‐infrared (NIR) fluorophores. A large molecular library is generated and analyzed, leading to the suggestions of promising candidates. The effectiveness of the system is further validated through the synthesis, characterization, and in vivo imaging, demonstrating its potential
Yixin Zhu, Xia Ling, Xianhe Zhang, Chuanjiang Jian, Leilei Shi, Wentao Song, Xiaonan Wang, Bin Liu   +7 more
wiley   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

Pyrazole‐Derived Antibacterial Compounds Effectively Treat Methicillin‐Resistant Staphylococcus Aureus Infections by Inhibiting Aspartate Transcarbamoylase

Advanced Science, EarlyView.
This study unveils a novel antibacterial mechanism against MRSA, in which the compound Py‐27 selectively targets and inhibits aspartate transcarbamoylase (ATCase), a key enzyme in pyrimidine synthesis. This inhibition disrupts DNA replication, induces oxidative damage, leading to potent bactericidal activity.
Xiaorong Yang, Xinyuan Cao, Lixia Dai, Feng Yang, Jing Wang, Yudong Ma, Tong Bu, Zile Gong, Xueyan Liu, Changcai Bai, Xiaolou Miao, Xiaofei Shang   +11 more
wiley   +1 more source