Results 221 to 230 of about 103,371 (308)

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

Advanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo, Ewa Anna Oprzeska‐Zingrebe, Mariana Kozlowska, Lennart Hilbert, Iliya D. Stoev   +4 more
wiley   +1 more source

A Deep Learning Framework for Using Search Engine Data to Predict Influenza-Like Illness and Distinguish Epidemic and Nonepidemic Seasons: Multifeature Time Series Analysis.

J Med Internet Res
Li J, Yan X, Chu X, Zhang Y, Liu G, Li L, Li Y, Dong X, Mei Z, Liu Z, Yuan J, Sun X, Cao C.   +12 more
europepmc   +1 more source

Online Provision of <i>BRCA1</i> and <i>BRCA2</i> Health Information: A Search Engine Driven Systematic Web-Based Analysis. [PDF]

Cancers (Basel)
Gootzen TA, Kalra A, Sarig K, Sobočan M, Oxley SG, Dworschak N, Georgiannakis A, Glynou S, Taniskidi A, Ganesan S, Ferris M, Legood R, Eeles R, Evans DGR, Fierheller CT, Manchanda R.   +15 more
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Can We Boost N-Glycopeptide Identification Confidence? Smart Collision Energy Choice Taking into Account Structure and Search Engine. [PDF]

J Am Soc Mass Spectrom
Hevér H, Xue A, Nagy K, Komka K, Vékey K, Drahos L, Révész Á.   +6 more
europepmc   +1 more source

Preventing Information Leakage in the Search Engine

, 2009
Joseph Hurley
openalex   +1 more source

Laser‐Induced Microfabrication of Carbon Nanostructure: Processing Mechanism and Application for Next‐Generation Battery Technology

Advanced Functional Materials, EarlyView.
The article reviews laser‐processed carbons from various precursors, processing mechanism and their application in advanced batteries. The laser process is chemical free, fast, and scalable, enabling improved battery performance and stability for Li, Na, and Zn battery technologies.
Sujit Deshmukh, Shaista Nouseen, Martin Pumera   +2 more
wiley   +1 more source

ChatGPT-4 Generates More Accurate and Complete Responses to Common Patient Questions About Anterior Cruciate Ligament Reconstruction Than Google's Search Engine. [PDF]

Arthrosc Sports Med Rehabil
Gaudiani MA, Castle JP, Abbas MJ, Pratt BA, Myles MD, Moutzouros V, Lynch TS.   +6 more
europepmc   +1 more source

Job Aggregation Search Engine

, 2011
Anita Sundaram
openalex   +1 more source

OCTOID: A Soft Robotic System Featuring Programmable Shape Morphing and Dynamic Structural Coloration

Advanced Functional Materials, EarlyView.
Inspired by octopuses, actuating legs based on soft materials are fabricated with programmed chiroptical properties and mechanical behaviors to achieve dynamic color modulation and reversible shape morphing, and these legs are developed into a modular OCTOID system.
Seung Hui Han, Seok‐In Lim, Ki‐Hyun Ryu, Sang Seok Lee, Dong‐Gue Kang, Jahyeon Koo, Kwang‐Un Jeong, Shin‐Hyun Kim, Dae‐Yoon Kim   +8 more
wiley   +1 more source