Results 91 to 100 of about 69,255 (288)

Engineering Compact Base Editors by AlphaFold‐Guided Mutation Scan and Escherichia coli‐Based Tri‐Selection

Advanced Science, EarlyView.
A miniaturized deaminase SsdAtox was scanned with AlphaFold to identify DNA binding pocket hot spots. Site‐saturation mutagenesis at gatekeeper residue K31 yielded ten‐fold activity enhancement. Trinity Screen, an E. coli‐based three‐in‐one platform selecting for high activity and reduced double‐strand breaks, enabled combinatorial evolution at DNA ...
Ryeo Gang Son, Goeun Kim, Jungjoon K. Lee   +2 more
wiley   +1 more source

A Reconfigurable System Approach to the Direct Kinematics of a 5 D.o.f Robotic Manipulator

International Journal of Reconfigurable Computing, 2010
Hardware acceleration in high performance computer systems has a particular interest for many engineering and scientific applications in which a large number of arithmetic operations and transcendental functions must be computed. In this paper a hardware
Diego F. Sánchez, Daniel M. Muñoz, Carlos H. Llanos, José M. Motta   +3 more
doaj   +1 more source

Targeted Extracellular Vesicles Deliver Asiaticoside to Inhibit AURKB/DRP1‐Mediated Mitochondrial Fission and Attenuate Hypertrophic Scar Formation

Advanced Science, EarlyView.
Hypertrophic scar formation is driven by excessive mitochondrial fission in wound macrophages, which we discover is governed by a novel AURKB‐DRP1(Ser616) axis. The study develops a targeted therapy using cRGD‐decorated extracellular vesicles to deliver the natural compound Asiaticoside specifically to macrophages.
Luyu Li, Chenli Si, Xue Wang, Xiaojin Wu, Ying Shang, Shengfang Ge, Yong Wang, Yong Zuo, Zhen Zhang   +8 more
wiley   +1 more source

Reprogramming M2b Macrophages via GPX1 Activation by Selenium Nanoparticles Attenuates Lupus Nephritis

Advanced Science, EarlyView.
SeZM NPs selectively target M2b macrophages through mannose–MRC1 (CD206) recognition, enhance GPX1 biosynthesis, and suppress mitochondrial ROS generation, oxidative stress, and JAK–STAT signaling. This dual regulation reduces pro‐inflammatory cytokine release, limits immune cell infiltration and fibrosis, and preserves renal function, providing a ...
Haoran Lv, Guanning Huang, Hongyu Li, Hanzhi Liang, Huajing Peng, Kefei Wu, Wenfang Chen, Dandan Zhang, Kexin Ma, Yufei Du, Siweier Luo, Yi Zhou, Haiping Mao, Wei Chen, Tianfeng Chen, Yiming Zhou, Qinghua Liu   +16 more
wiley   +1 more source

A Virtual Machine Platform Providing Machine Learning as a Programmable and Distributed Service for IoT and Edge On-Device Computing: Architecture, Transformation, and Evaluation of Integer Discretization

Algorithms
Data-driven models used for predictive classification and regression tasks are commonly computed using floating-point arithmetic and powerful computers.
Stefan Bosse
doaj   +1 more source

TOWARDS A MATHEMATICAL LIBRARY FOR UNUMs, AN ALTERNATIVE TO IEEE 754 FLOATING POINT NUMBERS

Journal of ICT, 2017
The 1985 IEEE 754 standard for the representation of and the arithmetic with floating point numbers has been reconsidered. On the one hand today, its technological assumptions are by no means longer valid.
Thomas Risse
doaj   +1 more source

Paranoia.Ada: Sample output reports [PDF]

Paranoia.Ada is a program to diagnose floating point arithmetic in the context of the Ada programming language. The program evaluates the quality of a floating point arithmetic implementation with respect to the proposed IEEE Standards P754 and P854 ...

core   +1 more source

Implementing Taylor models arithmetic with floating‐point arithmetic [PDF]

PAMM, 2007
AbstractThe implementation of Taylor models arithmetic may use floating‐point arithmetic to benefit from the speed of the floatingpoint implementation. The issue is then to take into account the roundoff errors. Here, we assume that the floating‐point arithmetic is compliant with the IEEE‐754 standard.
openaire   +1 more source

Unsupervised Hierarchical Symbolic Regression for Interpretable Property Modeling in Complex Multi‐Variable Systems

Advanced Science, EarlyView.
UHSR translates complex chemical behavior into clear and explainable equations. Applied to thin‐layer chromatography, it automatically uncovers the mathematical rules linking a molecule's structure to its polarity. This approach matches the accuracy of advanced AI while providing interpretable results, earning greater trust from chemists. The method is
Siyu Lou, Chengchun Liu, Dongxiao Zhang, Yuntian Chen, Fanyang Mo   +4 more
wiley   +1 more source

Analog Signal Summation for Reinforcement Learning via Simultaneous Light–Voltage Modulation in a Synaptic Device

Advanced Science, EarlyView.
To overcome limitations of conventional AI hardware, a light‐voltage dual‐modulating synaptic (LVDS) transistor using an IGZO/InAs quantum dot hybrid structure is proposed. LVDS transistor enables analog summation for Dueling Deep Q‐Networks by independently modulating memory via optical and electrical stimuli.
Dong Gue Roe, Sungjoon Cheon, Seongil Im, Sinil Choi, Meeree Kim, Subeen Kim, Youngjae Yoo, Jeong Won Kim, Hyunsu Ju, Sohee Jeong, Jeong Ho Cho   +10 more
wiley   +1 more source