Results 231 to 240 of about 606,530 (324)

FOCUS: A Four‐In‐One Consolidated Unison Strain Sensor with Enhanced Sensitivity

Advanced Science, EarlyView.
Through a folding transformation that stacks four printed liquid metal sensors into a unified 3D orthogonal construct, FOCUS harnesses complementary bidirectional resistance responses within a Wheatstone bridge. This architecture yields fivefold sensitivity enhancement and 25 µm resolution, overcoming LM sensors’ micro‐strain limitations and enabling ...
Zimeng Wang, Ruiran Li, Bowen Yang, Zhuofei Peng, Muyang Jing, Yu Gu, Lixue Tang   +6 more
wiley   +1 more source

Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine. [PDF]

Sci Rep
Muduli D, Kumari R, Akhunzada A, Cengiz K, Sharma SK, Kumar RR, Sah DK.   +6 more
europepmc   +1 more source

Achieving Chemical Accuracy in Cyclodextrin Host–Guest Binding via Integrative Atomistic Modelling

Advanced Science, EarlyView.
A generalizable computational framework is presented that overcomes long‐standing challenges in modelling cyclodextrin host‐guest binding by integrating host‐specific force‐field refinement, equilibrium enhanced sampling, nonequilibrium alchemical switching, convolution sampling of independent works, rigorous finite‐size corrections, and QM‐based ...
Xiaohui Wang, Linqiong Qiu, Hongyu Wang, Wenting Tang, Jiayang Leng, John Z. H. Zhang, Piero Procacci, Zhaoxi Sun   +7 more
wiley   +1 more source

Enhanced extreme learning machine via competitive learning SSA (CL-SSA) for load capacity factor prediction. [PDF]

Heliyon
Tahir S Luoka N, Khalifa WMS.
europepmc   +1 more source

Traceless Regulation of Genetic Circuitry

Advanced Science, EarlyView.
Energy‐based, as opposed to molecular, control offers unprecedented improvements in key circuit parameters. This review summarizes the fundamentals of such traceless switches, categorizes them by trigger modalities, and compares and contrasts distinct advantages as well as shortcomings of each kind.
Gokberk Unal, Martin Fussenegger
wiley   +1 more source

Intelligent identification and warning method of disc cutter abnormal wear in TBM construction based on extreme learning machine. [PDF]

Sci Rep
Li Q, Du L, Yang Y, Ni Z, Zhao X.
europepmc   +1 more source

Scrambling‐Enhanced Quantum Battery Charging in Black Hole Analogues

Advanced Science, EarlyView.
By employing a black‐hole‐analog quantum battery constructed from a position‐dependent XY model, its dynamical behavior is investigated through a quench of the scrambling parameter. It is systematically quantified that how the simulated scrambling improves key performance metrics‐namely, stored energy, peak power, and charging time‐thereby offering a ...
Zhilong Liu, Ying Li, Zehua Tian, Jieci Wang   +3 more
wiley   +1 more source

Breast Cancer Detection and Analytics Using Hybrid CNN and Extreme Learning Machine. [PDF]

J Pers Med
Sureshkumar V, Prasad RSN, Balasubramaniam S, Jagannathan D, Daniel J, Dhanasekaran S.   +5 more
europepmc   +1 more source

Beyond Traditional RAFT Polymerization: Emerging Strategies and Future Perspectives; A Third Update

Advanced Science, EarlyView.
This review explores recent advances in the past five years for non‐traditional RAFT polymerization, focusing on new activation strategies, sustainable depolymerization, and integration with automated and AI‐driven synthesis. Together, these innovations advance polymer chemistry and reveal how the pieces of the non‐traditional RAFT puzzle are steadily ...
Vianna F. Jafari, James L. Grace, Jiajia Li, Joji Tanaka, Glen R. Jones, Athina Anastasaki, Wei You, Jian Zhu, Masami Kamigaito, Cyrille Boyer, Greg G. Qiao   +10 more
wiley   +1 more source

Development of a novel modeling framework based on weighted kernel extreme learning machine and ridge regression for streamflow forecasting. [PDF]

Sci Rep
Samadi-Koucheksaraee A, Chu X.
europepmc   +1 more source