Results 101 to 110 of about 298,952 (329)

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Sleeping more than 8 h: a silent factor contributing to decreased muscle mass in Chinese community-dwelling older adults

BMC Public Health
Background Muscle mass loss is an age-related process that can be exacerbated by lifestyle, environmental and other factors, but can be mitigated by good sleep.
Qiongyu Huang, Hongsheng Lin, Han Xiao, Liuwei Zhang, Dafang Chen, Xiaotong Dai   +5 more
doaj   +1 more source

Does the genotype have a significant effect on the formation of intra-annual density fluctuations? A case study using Larix decidua from Northern Poland.

Frontiers in Plant Science, 2016
Intra-annual density fluctuations (IADFs) can imprint environmental conditions within the growing season and most of the research on IADFs has been focused on their climatic signal.
Marcin eKlisz, Marcin eKoprowski, Joanna eUkalska, Cristina eNabais   +3 more
doaj   +1 more source

Mechanisms of De‐icing by Surface Rayleigh and Plate Lamb Acoustic Waves

Advanced Engineering Materials, EarlyView.
Ice accretion impacts daily life, renewable energy generation, maintenance, and security in industries and aeronautics. Acoustic waves (AW) are a promising method for ice removal, although de‐icing mechanisms require further investigation to optimize energy efficiency.
Shilpi Pandey, Jaime del Moral, Stefan Jacob, Laura Montes, Jorge Gil‐Rostra, Alejandro Frechilla, Atefeh Karimzadeh, Victor J. Rico, Raul Kanter, Niklas Kandelin, Carmen López‐Santos, Heli Koivuluoto, Luis Angurel, Andreas Winkler, Ana Borrás, Agustin R. González‐Elipe   +15 more
wiley   +1 more source

Autosomal Dominant Retinal Dystrophies Caused by a Founder Splice Site Mutation, c.828+3A>T, in PRPH2 and Protein Haplotypes in trans as Modifiers. [PDF]

, 2016
PurposeWe determined the phenotypic variation, disease progression, and potential modifiers of autosomal dominant retinal dystrophies caused by a splice site founder mutation, c.828+3A>T, in the PRPH2 gene.MethodsA total of 62 individuals (19 families)
Birch, David G, Bowne, Sara J, Conneely, Karen N, Daiger, Stephen P, Hughbanks-Wheaton, Dianna K, Shankar, Suma P, Stone, Edwin M, Sullivan, Lori S   +7 more
core  

Mapping Quantitative Trait Loci Using Generalized Estimating Equations [PDF]

, 2001
Christoph Lange, John C. Whittaker
openalex   +1 more source

Selection of working correlation structure in generalized estimating equations

Statistics in Medicine, 2017
The well‐known generalized estimating equations is a very popular approach for analyzing longitudinal data. Selecting an appropriate correlation structure in the generalized estimating equations framework is a key step for estimating parameters efficiently and deriving reliable statistical inferences.
Wang, You-Gan, Fu, Liya
openaire   +6 more sources

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source

Predictors of mobility among women engaged in commercial sex work in Uganda using generalized estimating equations model. [PDF]

Int J STD AIDS, 2023
Kiyingi J, Witte SS, Nabunya P, Nsubuga E, Sensoy Bahar O, Mayo-Wilson LJ, Kizito S, Nattabi J, Nabayinda J, Ssewamala FM.   +9 more
europepmc   +1 more source

Asymptotic Results with Generalized Estimating Equations for Longitudinal data II [PDF]

We consider the marginal models of Liang and Zeger (1986) for the analysis of longitudinal data and we develop a theory of statistical inference for such models.
Ioana Schiopu-Kratina, R. M. Balan
core