Results 81 to 90 of about 7,246 (295)

Improved architectures for fused floating-point arithmetic units

, 2013
textMost general purpose processors (GPP) and application specific processors (ASP) use the floating-point arithmetic due to its wide and precise number system.
Sohn, Jongwook
core  

Microsphere‐Modulated Sensing‐in‐Energy Supercapacitor With Self‐Filtering Ultra‐Large Signal Under High‐g Shocks

Advanced Science, EarlyView.
To overcome severe signal oscillation under extreme impact conditions, this work presents a Sensing‐in‐Energy microdevice which integrates a MEMS inertial structure directly within a supercapacitor electrolyte cavity. Utilizing shock‐driven transient contact and electrolyte damping for signal self‐filtering, it achieves weak‐oscillation, large ...
Zhihao Zheng, Yiqun Wang, Kaiyou Liu, Shancheng Luan, Yajiang Yin, Xiaofeng Wang, Keren Dai, Zheng You   +7 more
wiley   +1 more source

Essential issues of modern floating point arithmetic

, 2018
An overview of modern floating point arithmetic is presented. Aspects that differ from real numbers arithmetic and thus being the source of many numeric problems are emphasized.
Iushchenko, R.A.
core  

Double Precision Floating-Point Arithmetic on FPGAs

, 2003
We present low cost FPGA floating-point arithmetic circuits for all the common operations, i.e. addition/subtraction, multiplication, division and square root.
Lee, Peter, Paschalakis, Stavros
core   +1 more source

Protein Structuromics Reveals a Loop‐Controlled Half‐Open Active Pocket Conformation Throughout Fe(II)/α‐ketoglutarate‐Dependent Dioxygenase Catalytic Cycle

Advanced Science, EarlyView.
This study reveals a conserved half‐open active pocket in Fe(II)/α‐ketoglutarate‐dependent dioxygenases through protein structuromics, distinguished by structural features comprising highly flexible loop elements. Enhanced sampling simulations‐guided mutagenesis experiments elucidated how this flexible loop regulates pocket open/closed conformations ...
Lunjie Wu, Huan Liu, Songyin Zhao, Lei Qin, Jiarui Li, Jun Wang, Zixuan Dai, Jie Gu, Yan Xu, Feiran Li, Yao Nie   +10 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

Stem Cell Differentiation Disperses Transcriptional Clusters via a Conserved Surface‐Condensate Trajectory

Advanced Science, EarlyView.
Stem cell differentiation follows a conserved surface condensate trajectory: H3K27ac super enhancers nucleate large RNA polymerase II clusters that grow and unfold before transcriptional activity disperses them. This work reveals how biophysical forces at enhancer surfaces dynamically build and dismantle stem cell transcription hubs, reshaping cell ...
Tim Klingberg, Irina Wachter, Agnieszka Pancholi, Matthias Akyel, Yomna Gohar, Priya Kumar, Ana Miguel Fernandes, Yuzhi Bao, Alica Schmidt‐Heydt, Marcel Piepers, Alicia Günthel, Marcel Sobucki, Elisa Kämmer, Süheyla Eroğlu‐Kayıkçı, Stephan Allgeier, Sylvia Erhardt, Vasily Zaburdaev, Carmelo Ferrai, Lennart Hilbert   +18 more
wiley   +1 more source

Accurately Deciphering Tissue Heterogeneity From Spatial Multi‐Modal and Multi‐Omics With STransformer

Advanced Science, EarlyView.
STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li, Jialuo Xu, Gaoyuan Du, Xiangting Jia, Dongmin Zhao, Chunyan Zhou, Kexin Xiao, Jia Gu, Junnan Zhu, Xuequn Shang   +9 more
wiley   +1 more source

Contents

, 2013
and system software interfaces — Floating-point extensions for C
Part Binary Floating-point Arithmetic
core  

Circulating Amino Acid Network Remodeling Reveals Systemic Metabolic Reprogramming Predictive of Colorectal Cancer Recurrence and Metastasis

Advanced Science, EarlyView.
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee, Jumi Kim, Taehan Yoon, So Hyun Kwon, Su Chan Park, Dohyun Chun, Dohyeong Kim, Eun Jung Park, Hyunwoo Kim, Ji Min Lee   +9 more
wiley   +1 more source