Results 151 to 160 of about 168,229 (311)

Patterns of Poly-Victimization Among Early Adolescents: A Latent Class and Two-Wave Latent Transition Analysis

Jiajun Zhou,1,2,* Yandong Luo,1,2,* Ping Chang,1,2 Liping Li1 1School of Public Health, Shantou University, Shantou, People’s Republic of China; 2Injury Prevention Research Center, Shantou University Medical College, Shantou, People’s Republic of
Chang P, Luo Y, Li L, Zhou J
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Additive Manufacturing of Ordered Polymer Nanostructures

Advanced Materials, EarlyView.
A new 3D printing strategy, Polymerization‐Induced Arrangement of Nanostructures with Order‐tunability (PIANO), enables the formation of ordered nanostructures in polymer materials by enhancing chain mobility during photopolymerization, overcoming the kinetic arrest that leads to disordered morphologies in the conventional Polymerization‐Induced ...
Di Wu, Kun Zhou, Kenny Lee, Yuan Xiu, Carol Hiu Wai Yan, Khoon S. Lim, Cyrille Boyer   +6 more
wiley   +1 more source

Immigrant Preadolescents and Risk of Emotional Distress [PDF]

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, 2014
Daniele E. Alves, Heather L. Corliss, Espen Roysamb, Henrik D. Zachrisson, Brit Oppedal, Kristin Gustavson   +5 more
doaj   +1 more source

Moderation with a latent class variable: A tutorial and example. [PDF]

Behav Res Methods
Arch DAN, Nylund-Gibson K, Ing M.
europepmc   +1 more source

Identification of Segments of European Banks with a Latent Class Frontier Model [PDF]

This paper analyses technical efficiency of European banks over the period 1996-2003 with unbalanced panel data techniques. A latent class frontier model is used which allows the identification of different segments in the production frontier.
Luis A. Gil-Alana, Guglielmo Maria Caporale, Carlos Pestana Barros   +2 more
core  

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Characterising Multimorbidity in Adults With Heart Failure: A Latent Class Analysis. [PDF]

Heart Lung Circ
Hiatt SO, Meek PM, Wong BG, Lee CS, Denfeld QE.   +4 more
europepmc   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source

Pregnancy complications and caesarean section: a latent class analysis. [PDF]

J Glob Health
Jiang T, Yu G, Kou C, Li W, Liu Y, Meng Y, Wan L, Yi L, Bai W.   +8 more
europepmc   +1 more source

Latent variable models for mixed manifest variables

, 1996
Latent variable models are widely used in social sciences in which interest is centred on entities such as attitudes, beliefs or abilities for which there e)dst no direct measuring instruments.
Moustaki, Irini
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