Results 121 to 130 of about 1,520,998 (360)

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Data-derived subtypes of delirium during critical illnessResearch in context

EBioMedicine
Summary: Background: To understand delirium heterogeneity, prior work relied on psychomotor symptoms or risk factors to identify subtypes. Data-driven approaches have used machine learning to identify biologically plausible, treatment-responsive ...
Kelly M. Potter, Jason N. Kennedy, Chukwudi Onyemekwu, Niall T. Prendergast, Pratik P. Pandharipande, E Wesley Ely, Christopher Seymour, Timothy D. Girard   +7 more
doaj   +1 more source

Latent class analysis of multimorbidity patterns and associated outcomes in Spanish older adults: a prospective cohort study

BMC Geriatrics, 2017
BackgroundThis study sought to identify multimorbidity patterns and determine the association between these latent classes with several outcomes, including health, functioning, disability, quality of life and use of services, at baseline and after 3 ...
B. Olaya, M. Moneta, F. F. Caballero, S. Tyrovolas, I. Bayés, J. Ayuso-Mateos, J. Haro   +6 more
semanticscholar   +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

Trade-offs between Shopping Bags Made of Non-degradable Plastics and Other Materials, Using Latent Class Analysis: The Case of Tianjin, China [PDF]

white pollution, plastic bag ban, conjoint choice experiment, willingness to pay, latent class analysis, China, degradable plastics, cloth, paper, Community/Rural/Urban Development, Consumer/Household Economics, Environmental Economics and Policy, Q1,
Chan-Halbrendt, Catherine, Fang, Di, Yang, Fang   +2 more
core   +1 more source

Modelling charitable donations: A latent class panel approach [PDF]

, 2010
We apply a latent class tobit framework to the analysis of charitable donations at the household level where the latent class aspect of the model splits households into two groups, which we subsequently interpret as "low" donators and "high" donators ...
Brown, S., Harris , M.N., Taylor, K.
core  

Selection Strategies for Flexible Pressure Sensor Electrode Materials Toward Ultrafast Response

Advanced Functional Materials, EarlyView.
This study reveals, for the first time, how the electrode–organic interface governs the temporal performance of flexible pressure sensors. By pairing high‐conductivity CVD PEDOT with commonly used metal electrodes, the authors demonstrate that interfacial energy alignment dictates microsecond‐scale response, providing a straightforward design strategy ...
Jinwook Baek, Yuxuan Zhang, Hyeondong Yang, Minyoung Kim, Pavlos P. Vlachos, Jeongok Choe, Bo‐Gyu Bok, Kejie Zhao, Han‐Wook Song, Min‐Seok Kim, Martin Byung‐Guk Jun, Sunghwan Lee   +11 more
wiley   +1 more source

Determinants of Cross-Border Bank Acquisitions in Transition Economies: A Latent Class Analysis [PDF]

We analyze the microeconomic determinants of cross-border bank acquisitions in 16 transition economies over the period 1996-2006. By using a latent class discrete choice model we explicitly incorporate the macroeconomic and institutional heterogeneity of
Jakob de Haan, Tigran Poghosyan
core  

Multimorbidity impacts cardiovascular disease risk following percutaneous coronary intervention: latent class analysis of the Melbourne Interventional Group (MIG) registry

BMC Cardiovascular Disorders
Background Multimorbidity is strongly associated with disability or functional decline, poor quality of life and high consumption of health care services.
Chau Le Bao Ho, Si Si, Angela Brennan, Tom Briffa, Dion Stub, Andrew Ajani, Christopher M Reid   +6 more
doaj   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source