Results 21 to 30 of about 2,263,522 (368)
Dynamical properties of max-plus equations obtained from tropically discretized Sel'kov model [PDF]
arXiv, 2021 Max-plus equations are derived from tropically discretized Sel'kov model via ultradiscretization. These max-plus equations possess common dynamical structures with the discretized model: Neimark-Sacker bifurcation and limit cycles. The limit cycles of the ultradiscrete max-plus equations have seven discrete states. Furthermore, these max-plus equations
arxiv
Predicting Students’ Physical Activity and Health-Related Well-Being: A Prospective Cross-Domain Investigation of Motivation Across School Physical Education and Exercise Settings \ud [PDF]
, 2012 A three-wave prospective design was used to assess a model of motivation guided by self-determination theory (Ryan & Deci, 2008) spanning the contexts of school physical education (PE) and exercise.
Gillison, Fiona B +3 more
core +1 more source
Regularized Structural Equation Modeling [PDF]
Structural Equation Modeling: A Multidisciplinary Journal, 2016 A new method is proposed that extends the use of regularization in both lasso and ridge regression to structural equation models. The method is termed regularized structural equation modeling (RegSEM). RegSEM penalizes specific parameters in structural equation models, with the goal of creating easier to understand and simpler models.
John J. McArdle +2 more
openaire +3 more sources
Multiplicity control in structural equation modeling [PDF]
, 2007 Researchers conducting structural equation modeling analyses rarely, if ever, control for the inflated probability of Type I errors when evaluating the statistical significance of multiple parameters in a model.
Cribbie, Robert
core +1 more source
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
Aplikasi Structural Equation Modeling dalam Analisis Faktor-Faktor Penyebab Keterlambatan Penyelesaian Proyek Konstruksi di Indonesia [PDF]
, 2017 Ketepatan waktu penyelesaian proyek konstruksi adalah indikator efisiensi keberhasilan perencanaan proyekyang menguntungkan semua pihak. Akan tetapi, pada Kenyataannya mayoritas proyek konstruksi di Indonesiamengalami keterlambatan karena beberapa faktor.
Asmi, A. (Ade) +2 more
core
FEBS Letters, EarlyView.The mitochondrial outer membrane iron–sulphur ([Fe‐S]) protein mitoNEET is a target of the type‐2 diabetes drug pioglitazone. Its unknown molecular function is linked to respiratory complex activity and mitochondrial function. We discovered that O2 protects the mitoNEET [2Fe‐2S] cluster against NO oxidation and desensitization towards reduction by H2S.
Thao Nghi Hoang +9 more
wiley +1 more source
Structural Equation Modeling-Partial Least Square untuk Pemodelan Derajat Kesehatan Kabupaten/Kota di Jawa Timur (Studi Kasus Data Indeks Pembangunan Kesehatan Masyarakat Jawa Timur 2013) [PDF]
, 2015 Kesehatan merupakan salah satu faktor yang ber-peran penting dalam investasi pembangunan sumber daya manu-sia berkualitas. Indeks Pembangunan Kesehatan Masyarakat (IPKM) merupakan indikator komposit yang bertujuan meng-gambarkan kemajuan pembangunan ...
Salamah, M. (Mutiah) +1 more
core
Residual analysis for structural equation modeling [PDF]
, 2013 Structural equation modeling (SEM) is a statistical methodology commonly used in the social and behavioral sciences due to its ability to model complex systems of human behavior while allowing for the use of latent variables and variables measured with ...
Hildreth, Laura
core +2 more sources
Characterization of fungal carbonyl sulfide hydrolase belonging to clade D β‐carbonic anhydrase
FEBS Letters, EarlyView.Here, we performed a functional analysis of the fungal enzymes belonging to clade D of the β‐class carbonic anhydrase family (β‐D‐CA). The β‐D‐CAs in the basidiomycete Gloeophyllum trabeum and the ascomycete Trichoderma harzianum showed very low activity in the hydration of CO2 but exhibited high activity in the hydrolysis of carbonyl sulfide (COS ...
Ryuka Iizuka +6 more
wiley +1 more source