Asymmetric effects of the Covid-19 pandemic on the Ecuadorian labor market: An analysis of job quality in a context of structural heterogeneity by Washington Quintero Montaño, Diego Linthon Delgado, Luis Espinosa Calderón

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Optimal precision of coarse structural nested mean models to estimate the effect of initiating ART in early and acute HIV infection by Lok Judith J.

“…Time-dependent coarse structural nested mean models (coarse SNMMs) were developed to estimate treatment effects from longitudinal observational data. …”
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Structural Identification of Impurities in Pioglitazone Hydrochloride Preparations by 2D-UHPLC-Q-Exactive Orbitrap HRMS and Their Toxicity Prediction by Dandan Zhang, Weijian Wang, Haiyun Zhao, Song Wang, Mingyan Yu, Dongmei Zhang, Wenkun Liu, Qiangsheng Xie, Dejun Chen

“…With the heart-cutting 2D-UHPLC and online desalting technique, the structures of five impurities were deduced in an analysis of MSn data. …”
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STRUCTURAL EQUATION MODELLING (SEM) BASED ASSESSMENT OF STUDENTS' M-LEARNING BEHAVIOURAL ADOPTION USING AN EXTENDED-SIMPLIFIED TAM by Parveen Singh Kalsi, Rajveer Kaur

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Validating ajzen’s theory of planned behavior in Saudi translation education programs using a reflective structural equation model by Munassir Alhamami

“…Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to assess both measurement and structural models. …”
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Structural and functional deficits in a neuronal calcium sensor-1 mutant identified in a case of autistic spectrum disorder. by Mark T W Handley, Lu-Yun Lian, Lee P Haynes, Robert D Burgoyne

“…We have examined the effect of this mutation on the structure and function of NCS-1. From use of NMR spectroscopy, it appeared that the R102Q affected the structure of the protein particularly with an increase in the extent of conformational exchange in the C-terminus of the protein. …”
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Modified partial least square structural equation model with multivariate adaptive regression spline: Parameter estimation technique and applications by Hendra H. Dukalang, Bambang Widjanarko Otok, Purhadi

“…Partial Least Squares Structural Equation Modelling (PLS-SEM) struggles with nonlinear relationships between latent variables, leading to biased results. …”
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The structural relationship between achievement goal orientation and perceived performance among swimmers: a chain multiple mediation model by Yuanjiao Zhu, Weipeng Zhang, Hao Liu, Huitao Song

“…However, there is limited research analyzing this relationship through multiple mediation models.MethodsIn this study, data from 377 competitive swimmers (45.1% female, 54.9% male, aged 18–22 years old) from Tianjin and Beijing universities were collected through questionnaires, and structural equation modelling (SEM) was used to analyze the relationship between AGO, Sports Enthusiasm (SE), Sports Commitment (SC), and Grit and PP.ResultsAGO significantly elevated PP (β = 0.116, p ≤ 0.001), explaining 76.6% of the total effect of AGO on PP through the chain-mediated effects of SE (β = 0.472, p ≤ 0.001), SC (β = 0.448, p ≤ 0.001) and Grit (β = 0.165, p ≤ 0.001).ConclusionThe chain mediation model of this study suggests that AGO enhances swimmers ‘PP through SE, SC, and Grit, guiding coaches’ goal setting, swimmers ‘progress tracking, and psychologists’ reassessment strategies.…”
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Unraveling Spatial Dynamics of Urban Complexity Between Land Use Patterns and Travel Behavior Using Structural Equation Modeling by Abdulla Al Kafy, Md. Abdul Fattah, Mahir Shahrier, Hamad Ahmed Altuwaijri

“…This study employs structural equation modeling (SEM) to explore the interplay between land use patterns and travel behavior in Rajshahi, Bangladesh. …”
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Leisure activities, self-reported health, anxiety, and depression in Chinese older adults: a structural equation model analysis by Keying Song, Yawen Chang, Zijian Zhao, Karuppasamy Govindasamy

“…ObjectivesThis study aimed to explore the interrelationships among leisure activities, self-reported health (SRH), anxiety, and depression in Chinese older adults using structural equation modeling (SEM).MethodsData from the 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS) were analyzed and 9,859 older adults were included in the analysis. …”
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The First-Principles Investigation of Structural Stability, Mechanical, Vibrational, Thermodynamic, and Optical Properties of CaHfS3 for Optoelectronic Application by Mulugetta Kassa, Nebiyu Debelo, Menberu Woldemariam

“…In this study, the structural, electronic, elastic, phonon vibration, thermodynamic features, and optical properties of the orthorhombic phase of (space group Pnma) CaHfS3 were examined by first-principles calculations utilizing the plane wave ultrasoft pseudopotentials in generalized gradient approximations (GGAs) and with Hubbard on-site correction (DFT + U). …”
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Determinants of private banks performance in Ethiopia: A partial least square structural equation model analysis (PLS-SEM) by Million Adafre Bushashe

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Development and validation of the Low Back Pain Questionnaire for Nurses (LBP-NS) in Indonesia: A structural equation modeling approach by Wirakhmi Ikit Netra, Kusuma Ikhwan Yuda, Haniyah Siti, Nurkholis Fiqih

“…Psychometric validation was conducted using confirmatory factor analysis (CFA) and structural equation modeling (SEM). The LBP-NS demonstrated robust psychometric properties, including good model fit (CFI = 0.929, RMSEA = 0.067) and strong reliability (Cronbach’s alpha: 0.677-0.887). …”
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Investigating the Structural Model of Predicting Sleep Disorders Through Symptoms of Rumination with the Mediating Role of Social Support in Dialysis Patients by Farhad Ghorbani, Amin Rafiepoor, Niloufar Tahmouresi, Reza, Hosseinpour

“…The research instruments included the Pittsburgh Sleep Quality Index, as well as the social support and rumination scales developed by Zammit et al. Structural equation modeling was employed for data analysis.Results: The results indicated that social support serves as a mediating factor in the relationship between rumination and sleep disorders. …”
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How to improve forest biodiversity management by comparing broad-scale stands' structural spatial heterogeneity between two forests by Elias Milios, Kyriachi Kitikidou

“…This straightforward method requires only basic DBH or tree height data, making it practical for integration into forest stand structure studies and aiding in informed forest management decisions. …”
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A comparison of supervised machine learning algorithms and feature vectors for MS lesion segmentation using multimodal structural MRI. by Elizabeth M Sweeney, Joshua T Vogelstein, Jennifer L Cuzzocreo, Peter A Calabresi, Daniel S Reich, Ciprian M Crainiceanu, Russell T Shinohara

“…Machine learning is a popular method for mining and analyzing large collections of medical data. We focus on a particular problem from medical research, supervised multiple sclerosis (MS) lesion segmentation in structural magnetic resonance imaging (MRI). …”
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Toward a holistic model of sustainable investment decision-making in SMEs: a structural approach in a developing economy by Dedrix Stephenson Bindeeba, Eddy Kurobuza Tukamushaba, Rennie Bakashaba

“…Employing covariance-based structural equation modeling, the study tests both direct and mediated effects. …”
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New structural and functional contexts of the Dx[DN]xDG linear motif: insights into evolution of calcium-binding proteins. by Daniel J Rigden, Duncan D Woodhead, Prudence W H Wong, Michael Y Galperin

“…It is known that diverse families--EF-hands being one of at least twelve--use a Dx[DN]xDG linear motif to bind calcium in near-identical fashion. Here, four novel structural contexts for the motif are described. Existing experimental data for one of them, a thermophilic archaeal subtilisin, demonstrate for the first time a role for Dx[DN]xDG-bound calcium in protein folding. …”
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Monitoring Environmental and Structural Parameters in Historical Masonry Buildings Using IoT LoRaWAN-Based Wireless Sensors by Noëlla Dolińska, Gabriela Wojciechowska, Łukasz Bednarz

“…Over a six-month period, sensors were used to monitor wall temperature, wall humidity, air temperature, air humidity, crack width, and crack displacement. The data revealed significant correlations between environmental parameters and structural changes. …”
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Morphological and structural complexity analysis of low-resource English-Turkish language pair using neural machine translation models by Mehmet Acı, Nisa Vuran Sarı, Çiğdem İnan Acı

“…Its structural divergence from English makes it a critical testbed for assessing tokenization strategies, attention mechanisms, and model generalizability in neural translation. …”
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