Results 81 to 90 of about 142,413 (298)

Elinvar Materials: Recent Progress and Challenges

Advanced Engineering Materials, EarlyView.
Elinvar materials, exhibiting temperature‐invariant elastic modulus, are critical for precision instruments and emerging technologies. This article reviews recent progress in the field, with a focus on the anomalous thermoelastic behavior observed in key material systems.
Wenjie Li, Yang Ren
wiley   +1 more source

Cool Kitchen: Processing Starch and Eggshell Powder into Sustainable Coatings for Passive Daytime Cooling

Advanced Functional Materials, EarlyView.
A food‐grade cooling composite made from starch and recycled eggshell powder offers a scalable, ultra‐low‐cost solution for passive daytime radiative cooling. Easily prepared using basic kitchen tools, this material empowers communities, even in areas with limited infrastructure, to stay cooler during worsening summer heat waves.
Qimeng Song, Evelyn Kubacki, Alexander Berger, Markus Retsch   +3 more
wiley   +1 more source

Modeling household relocation choice: An egalitarian bargaining approach and a comparative study

Journal of Transport and Land Use, 2021
Accompanying the rapid urban expansion and fast population growth is a progressive trend of residential relocation in developing countries, which necessitates a thorough understanding of households’ relocation decisions.
Mingzhu Yao, Donggen Wang
doaj   +1 more source

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

Investigating Trajectories of Social Recovery in Individuals with First Episode Psychosis:A Latent Class Growth Analysis [PDF]

, 2015
Background Social disability is a hallmark of severe mental illness yet individual differences and factors predicting outcome are largely unknown. Aim To explore trajectories and predictors of social recovery following a first episode of psychosis (FEP).
Amos, Tim, Birchwood, Max, Christopher, Rose, Coker, Sian, Everard, Linda, Fowler, David, Freemantle, Nicholas, Hodgekins, Joanne, Jones, Peter, Lester, Helen, Marshall, Max, Sharma, Vimal, Singh, Swaran   +12 more
core   +2 more sources

The Analysis of Individual Health Trajectories Across the Life Course: Latent Class Growth Models Versus Mixed Models [PDF]

, 2015
When analysing individual trajectories across the life course, the fact that repeated observations of individuals are not independent (i.e. correlated) should be taken into account. Several techniques to do this are available, such as mixed models, MM and latent growth models, LGM.
Hoekstra, T., Twisk, J.W.R.
openaire   +4 more sources

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

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

Advanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

Non-parametric Bayesian modeling of complex networks

, 2013
Modeling structure in complex networks using Bayesian non-parametrics makes it possible to specify flexible model structures and infer the adequate model complexity from the observed data.
Mørup, Morten, Schmidt, Mikkel N.
core   +1 more source

A bootstrap approach for validating the number of groups identified by latent class growth models

, 2022
The use of longitudinal finite mixture models such as group-based trajectory modeling has seen a sharp increase during the last decades in the medical literature. However, these methods have been criticized especially because of the data-driven modelling process which involves statistical decision-making. In this paper, we propose an approach that uses
Mésidor, Miceline, Sirois, Caroline, Simard, Marc, Talbot, Denis   +3 more
openaire   +2 more sources