Results 101 to 110 of about 1,209 (228)

DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction

Advanced Science, EarlyView.
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li, Yiman Liu, Liya Liang, Rongming Liu   +3 more
wiley   +1 more source

Similarity‐Enhanced Representation Learning of Non‐Canonical Amino Acids for Therapeutic Peptide Modeling

Advanced Science, EarlyView.
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu, Lesong Wei, Jianmin Wang, Yuanpeng Xiong, Ruochi Zhang, Yu Wang, Chao Zha, Qiangcheng Zeng, Xin Gao   +8 more
wiley   +1 more source

Migrating from mainframes to client-server systems [PDF]

, 1995
The prevailing trend within the computer industry is to downsize information systems. This quite often entails migrating an application from a centralized mainframe environment to a distributed client-server system.
Barnum, Todd L.
core  

Adaptive Conductive Systems: Enabling Deformable Electronics Through Engineered Materials, Circuits, and Intelligent Systems

Advanced Science, EarlyView.
This review presents the research advances of adaptive conductive systems from the perspective of materials, circuits, systems, and applications. Deformable conductors consist of substrates/matrices and conductive materials, structural design of circuit interconnections, fabrication of circuit interconnections, as well as intelligent systems ...
Yufei Lu, Siyu Liang, Jingyi Niu, Jie Chen, Shuo Zhang, Hongjian Zhang, Dongsheng Jia, Wei Huang   +7 more
wiley   +1 more source

Autonomous Solar Metallurgy for High‐Purity Gold Recovery from Electronic Waste

Advanced Science, EarlyView.
Inspired by microbial strategies for metal uptake and biomineralization, defect‐rich copper sulfide (Cu31S16) functions as a solar metallurgical platform that unifies Au(III) capture, reduction, and self‐separation. The bioinspired design enables ultrafast gold recovery from electronic‐waste leachates and the spontaneous formation of millimeter‐scale ...
Chaopeng Liu, Jiajun Li, Jialin Ruan, Wei Zhang, Wei Sun, Hongmei Li, Lei Xie, Min Liu   +7 more
wiley   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source

Cobol/cics tabanlı büyük sistemlere yönelik taşıma yönetim çerçevesi önerisi.

, 2010
Today, mainframes contain a considerable portion of business applications worldwide. It is estimated that the current inventory of production COBOL running on mainframes is 150 to 200 billion lines of code.
Kaplan, Halil
core  

Highly‐Uniform Passive Crossbar Arrays of Resistive Switching Random Access Memory (RRAM) for In‐Memory Computing Applications

Advanced Electronic Materials, EarlyView.
Passive resistive memory arrays promise efficient in‐memory computing but suffer from sneak paths and programming variability. Here, highly uniform 32 × 32 passive RRAM crossbars are programmed with multilevel precision below 3% error and 99.5% yield.
S. Ricci, P. Mannocci, M. Porzani, D. Bridarolli, F. Carletti, M. Farronato, D. Ielmini   +6 more
wiley   +1 more source

Nonlinear Dynamics and Invariants of Motion in ReRAM Cells

Advanced Electronic Materials, EarlyView.
A second‐order cell, hosting one capacitor and two back‐to‐back ReRAMs, admits Invariants of Motion: its states lie on one‐dimensional manifolds at all times. The cell shows quiescent monostability or bistability, depending on the manifold index. At equilibrium, the capacitor voltage vanishes.
Mauro Di Marco, Mauro Forti, Luca Pancioni, Giacomo Innocenti, Alberto Tesi, Alon Ascoli   +5 more
wiley   +1 more source

Strategies and Challenges in Memristor‐Selector Integration for High‐Density Memory and Compute‐in‐Memory Systems

Advanced Electronic Materials, EarlyView.
Selector integration enables scalable memristor crossbar arrays by suppressing sneak‐path currents and improving array selectivity. This review summarizes integration strategies, device requirements, challenges, and opportunities for high‐density memory, compute‐in‐memory, and neuromorphic computing systems.
Zohreh Hajiabadi, David B. Thomas, Harold M. H. Chong, Firman M. Simanjuntak   +3 more
wiley   +1 more source