Understand the Changes in Motivation at Work: Empirical Studies Using Self-Determination Theory-Based Interventions by Zheni Wang, Melanie Briand

“…Study two used the mean and covariance structure analysis and tested the impact of three types of basic psychological needs-supportive/thwarting and control conditions (3 × 2 × 1 factorial design) on participants’ situational motivation, vitality, and general self-efficacy for playing online word games within 30 min. …”
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Development of the technique of evaluating the professionalism of young pharmacists as a basic component of their social responsible behavior by N. О. Tkachenko, B. Р. Hromovyk, L. N. Serhieieva

“…The reliability of the indicators of this methodology was calculated (Cronbach's alpha, Cronbach's standardized alpha, interpositional covariance and correlation), the results of which indicate the normal distribution of all scales, excellent reliability and positive relationships between the positions of all the parameter blocks.…”
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The influence of countermovement depth on joint coordination and ground reaction force waveform in countermovement jump by Mona Makita, Shinichi Kawamoto, Momoko Nagai-Tanima, Tomoki Aoyama

“…Jump-related variables, joint moments, and work were analysed. Analysis of covariance (ANCOVA) was conducted using countermovement depth as a covariate, and correlation analyses examined the associations between depth and biomechanical parameters. …”
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Improving heat stress prevention through targeted education in hot and humid workplaces: a study in a foundry industry by Sayed Vahid Esmaeili, Fatemeh Paridokht, Amirreza Shalili, Ali Mohsenian, Habibollah Dehghan

“…A two-session (180 min each) educational intervention related to preventing occupational heat stress was implemented, and the results were compared using covariance analysis. Gathered data were analyzed using Excel v.2019 and SPSS v.26 software. …”
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Online Asynchronous Learning over Streaming Nominal Data by Hongrui Li, Shengda Zhuo, Lin Li, Jiale Chen, Tianbo Wang, Jun Tang, Shaorui Liu, Shuqiang Huang

“…Specifically, OALN is grounded in three core principles: (1) It utilizes a Gaussian mixture copula in the latent space to preserve class structure and numerical relationships, thereby addressing the encoding and relational learning challenges posed by mixed feature types. (2) It performs adaptive imputation through conditional covariance matrices to seamlessly handle random missing values and feature drift, while incrementally updating copula parameters to accommodate dynamic changes in the feature space. (3) It incorporates a model pool and hint mechanism to efficiently process asynchronous label feedback. …”
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An IoT intrusion detection framework based on feature selection and large language models fine-tuning by Huan Ma, Wan Zhang, Dalong Zhang, Baozhan Chen

“…At its core is a multi-stage feature selection algorithm combining Minimum Redundancy Maximum Relevance algorithm (mRMR) and a Pearson Correlation Coefficient (PCC)-improved Covariance Matrix Adaptation Evolution Strategy algorithm (CMA-ES). …”
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The effectiveness of couple-centered counseling on the anxiety and concerns of pregnant adolescents by Roya Sanginabadi, Farideh Kazemi, Azita Tiznobaik, Farzaneh Soltani

“…The groups were compared in terms of pregnancy-related anxiety and pregnancy worry scores using the independent t-test, the Chi-square test, the Fisher exact test, and the analysis of variance or covariance. In case of a significant difference between the groups, Cohen’s d effect size was calculated. …”
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Comparison of the effects of eight weeks of traditional resistance training and TRX on oxidative and antioxidant indicators in women with type 2 diabetes by Mohsen Akbarpour, Safoora Sabagheyan rad, Narjes Chamani

“…Paired t-test was used to investigate the within-groups differences, and the analysis of covariance using Bonferroni's post-hoc test was used to investigate the differences between groups.Results: Present study showed that after eight weeks of traditional resistance training and TRX, significant increases in SOD and GPX levels were observed in the two experimental groups (p< 0.05). …”
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Multispectral Extended Depth-of-Field Imaging via Stochastic Wavefront Optimization by Exequiel Oliva, Nelson Diaz, Samuel Pinilla, Esteban Vera

“…The optimization process exploits the covariance matrix adaptation evolution strategy (CMA-ES), efficiently exploring complex, high-dimensional phase configurations without the need for explicit gradient information. …”
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Co-curricular engagement, moral quotient, and pro-environmental behaviors of university students in Bangladesh by Mohd. Ashik Shahrier, Kazi Imrul Kayesh, Atik Mahomud Zubaier, Rawshan Ara Khan, Nahida Sarkar, Md. Luthfor Rahman

“…Furthermore, hierarchical regression analysis was run to test whether pro-environmental behavior was predicted by the sense of obligation, global citizenship, and moral quotient. Analysis of covariance (ANCOVA) was performed to study the effects of co-curricular engagement on MQ and PEBs. …”
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Transposing Continuance and Normative Organizational Commitment to Affective Commitment among Pharmaceutical Executives: Mediating Role of Herzberg’s Hygiene-Motivation Factors by Theophilus Ehidiamen OAMEN, Maduabuchi Romanus IHEKORONYE

“…OCN and OCC were operationalized as independent variables, hygiene and motivation factors as mediators, while OCA was the main dependent variable. Covariance-based structural equation modeling and ANOVA techniques were used to develop and test hypotheses. …”
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Modeling leaf and crop water use efficiency of rainfed Cotton: Interplay of environmental and biophysical drivers by Shreedevi Moharana, Syam Chintala, BVN P. Kambhammettu

“…Model calibration was performed with gravimetric measurements of soil water content (ρ = 0.95, RMSE = 21.8) and eddy covariance (EC) measurements of evapotranspiration (ρ = 0.57, RMSE = 0.88). …”
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Knowledge, Symptoms, Quality of Life, and Health-seeking Behavior in Menopausal Nuns by Jolly Joseph, Leena Sequira, soumya christabel

“…However, the multivariate analysis of covariance did not reveal a significant effect of the intervention on the dependent variables. …”
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The Effect of 8 Weeks of Selected TRX Exercises on Pain Intensity and Static and Dynamic Balance of Non-Athlete Girls with Non-specific Chronic Back Pain by Samira Gholizade, Hoda Mozayani, Amirhosein Barati, Ataalah Barati

“…Shapiro-Wilk test was used for data normality and paired t-test was used for in-group comparison and ANCOVA test was used as a covariance to compare the data obtained from the research groups. …”
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Comparison of the Depression Disorder and Related Psychosocial Disorders Before and After Contracting COVID-19 in Women Attending Imam Khomeini Hospital Complex by Mamak Shariat, Nasrin Abedinia, Fatereh Momeni, Yasamin Soufi Enayati

“…Data analysis was performed using the analysis of covariance (ANCOVA). The SPSS-20 software was utilized for data analysis. …”
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Carbon Flux Estimation for Potato Production: A Literature-Based Study by Shu Zhang, Xiuquan Wang, Muhammad Awais

“…Data were compiled from field-scale studies (primarily using eddy covariance) and life cycle assessment studies. The results indicate that potato production can act as a carbon sink or a carbon source, depending on the production scenario. …”
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Aspirations of becoming a mathematics or a science teacher: A CB-SEM analysis of preservice teachers' self-ascribed identities by Christeodoflor Ramos, Mary Grace Villaflor, Masza Lyn Milano, Danica Kaye Hallarte, Gesselle Batucan, Roselyn Gonzales, Gamaliel Gonzales

“…The paper examines the factors influencing career aspirations among preservice teachers in mathematics and science, an area that has received limited focused investigation. Using covariance-based structural equation modeling (CB-SEM), the proposed model examines how motivation, social influence, professional identity, and decisional self-efficacy contribute to career decidedness, subsequently informing career aspirations. …”
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Symmetric dimethylarginine as a biomarker of renal impairment after a decade of follow-up by Hendrik Meyer, Marcus Dörr, Anke Hannemann, Edzard Schwedhelm, Rainer Böger, Till Ittermann, Nele Friedrich, Martin Bahls

“…Three different statistical analyses (linear regression, logistic regression, analyses of covariance (ANCOVA)), were performed to investigate the longitudinal associations between baseline levels of Arg, ADMA, SMDA and homoarginine as exposure and renal function parameters as outcome. …”
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Development of a simple parametric approach to correct fluorescence signal for reabsorption and its implications for GPP estimates: a case study for alfalfa crop by Luis Miguel da Costa, Sergio Cogliati, Ilaria Cesana, Tommaso Julitta, Marco Celesti, Marin Tudoroiu, Lorenzo Genesio, Franco Miglietta, Newton La Scala, Roberto Colombo

“…We also investigated the relationships of FTOC and FRC spectra with Gross Primary Production (GPP) estimated from CO2 fluxes measured through Eddy Covariance. Fluorescence at selected wavelengths was analyzed and combined to estimate GPP using linear, stepwise, and Random Forest approaches. …”
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Structural and functional analysis of the accessory gene regulators of Staphylococcus aureus and Staphylococcus epidermidis: an in Silico approach by Subhamoy Dey, Tuhin Manna, Kartik Chandra Guchhait, Monalisha Karmakar, Debarati Jana, Priyanka Raul, Saroj Ballav, Mousumi Manna, Subrata Hazra, Amiya Kumar Panda, Chandradipa Ghosh

“…Accessory gene regulator (Agr) of Staphylococcus sp. controls the expression of multiple genes that encode virulence properties. Evolutionary covariance of accessory gene regulators of selected strains of two Staphylococcus sp. was entrenched through multiple sequence alignment, relative synonymous codon usage, codon adaptation index and compositional analysis. …”
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