The role of social vitality on the impact of sports activities on public health based on the theory of planned behavior by Elnaz Bahrami, Reza Sabonchi, Gholamreza Khaksari, Homa Naderifar

“…The positive validity of all subscriptions for latent variables indicated the appropriate quality of the measurement model. …”
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Multiple mush generations provide insight into the longevity of open-conduit basaltic volcanoes by Beatrice Schiavon, Chiara M. Petrone, Francesca Forni, Alessio Pontesilli, Haiyang Hu, Piergiorgio Scarlato, Daniele Andronico, Elisabetta Del Bello, Manuela Nazzari, Silvio Mollo

“…The complex zoning patterns of plagioclase phenocrysts from 2003 to 2021 eruptions have been interrogated by combining in-situ Sr isotope compositions, thermometric modelling, and Mg diffusion chronometry. …”
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Social Representations of Breast Cancer in Patients, Accompanying Relatives and Specialists by Maria Elena Reina Suarez, Yamila Ramos Rangel, María de los Ángeles Reina Sarmiento, Leonor Cisneros Pimentel, María del Rosario Lleó Moreno, Sara Soraya Naranjo Noda

“…Applied as techniques: sociodemographic and clinical data form, semi-structured interview, composition, free association. The variables analyzed were: addressability of the attitude towards the diagnosis of breast cancer, addressability of the attitude towards treatments, in the information dimension: knowledge about disease conceptualization, knowledge of symptoms, knowledge about treatments, beliefs about risk factors , opinions on the consequences of breast cancer, opinions on the need to provide knowledge of the disease to patients, relatives. …”
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STRUCTURE ANALYSIS AND MULTI-OBJECTIVE OPTIMIZATION DESIGN OF A DEWATERING BUCKET FOR A PULSATOR WASHING MACHINE by CAI Yun, PENG Liang, LIU Xue, CHENG ZhiWen

“…Secondly,Design of Experiments and Response Surface Methodology were combined to solve a multi-objective optimization problem,under the condition of improved strength and stiffness,solution with the lightest mass is choosen as the optimization goal. Using Central Composite Design in ANSYS Workbench software,experimental points were selected,and the response surface model of an inner barrel was built. …”
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Genetic structure of the European hedgehog (Erinaceus europaeus) in Denmark. by Sophie Lund Rasmussen, Jeppe Lund Nielsen, Owen R Jones, Thomas B Berg, Cino Pertoldi

“…We estimated individual observed (iHO), observed (HO), and unbiased expected (uHE) heterozygosity, inbreeding coefficient (FIS), percentage of polymorphic loci (P%) and tested for deviations from Hardy-Weinberg equilibrium (HWE). We used linear models to test for potential anthropogenic effects on the genetic variability of hedgehogs with iHO, uHE, P% and FIS as response variables, and assessed the demographic history of the population.…”
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Investigating the relationship between thought interference, somatic passivity and outcomes in patients with psychosis: a natural language processing approach using a clinical reco... by Robert Stewart, Anna Kolliakou, Jyoti Sanyal, Rashmi Patel, Thibault Thierry Magrangeas

“…Objectives We aimed to apply natural language processing algorithms in routine healthcare records to identify reported somatic passivity (external control of sensations, actions and impulses) and thought interference symptoms (thought broadcasting, insertion, withdrawal), first-rank symptoms traditionally central to diagnosing schizophrenia, and determine associations with prognosis by analysing routine outcomes.Design Four algorithms were developed on deidentified mental healthcare data and applied to ascertain recorded symptoms over the 3 months following first presentation to a mental healthcare provider in a cohort of patients with a primary schizophreniform disorder (ICD-10 F20-F29) diagnosis.Setting and participants From the electronic health records of a large secondary mental healthcare provider in south London, 9323 patients were ascertained from 2007 to the data extraction date (25 February 2020).Outcomes The primary binary dependent variable for logistic regression analyses was any negative outcome (Mental Health Act section, >2 antipsychotics prescribed, >22 days spent in crisis care) over the subsequent 2 years.Results Final adjusted models indicated significant associations of this composite outcome with baseline somatic passivity (prevalence 4.9%; adjusted OR 1.61, 95% CI 1.37 to 1.88), thought insertion (10.7%; 1.24, 95% CI 1.15 to 1.55) and thought withdrawal (4.9%; 1.36, 95% CI 1.10 to 1.69), but not independently with thought broadcast (10.3%; 1.05, 95% CI 0.91 to 1.22).Conclusions Symptoms traditionally central to the diagnosis of schizophrenia, but under-represented in current diagnostic frameworks, were thus identified as important predictors of short-term to medium-term prognosis in schizophreniform disorders.…”
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Are the poorest poor being left behind? Estimating global inequalities in reproductive, maternal, newborn and child health by Aluísio J D Barros, Cesar G Victora, Fernando C Wehrmeister, Luis Paulo Vidaletti, Leonardo Zanini Ferreira, Ahmad Reza Hosseinpoor

“…Finally, we used multilevel models to examine how the CCI varies according to the estimated absolute income for each wealth quintile in the surveys.Results The analyses of coverage by wealth deciles and by absolute income show that inequality is mostly driven by coverage among the poor, which is much more variable than coverage among the rich across countries. …”
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A Causal Inference Approach to Mediation Analysis in Vitreomacular Traction: How Much Does Traction Resolution Mediate Functional Outcomes? by Benedicte Lescrauwaet, Stijn Vansteelandt, Timothy L. Jackson, SriniVas R. Sadda, Luc Duchateau

“…A causal mediation analysis is applied to randomized trial data including 218 participants with vitreomacular traction. Logistic regression models are used to estimate the total treatment effect (TTE) on binary outcomes. …”
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Prediction of the long-term risk of adverse cardiovascular events after an episode of acute coronary syndrome in patients with type 2 diabetes by E. A. Nikitina, I. S. Meletev, O. V. Soloviev, E. N. Chicherina

“…In order to predict the development of CEP in patients with ACS and T2D, a logit model was created. To process the model, a ROC analysis was performed.Results. …”
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Research on Soft-Sensing Method Based on Adam-FCNN Inversion in <i>Pichia pastoris</i> Fermentation by Bo Wang, Wenyu Ma, Hui Jiang, Shaowen Huang

“…Firstly, a non-deterministic mechanism model is constructed to characterize the dynamic coupling relationships among multiple variables in the fermentation process, and the reversibility of the system and the construction method of the inverse extended model are analyzed. …”
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CFD and Artificial Intelligence-Based Machine Learning Synergy for the Assessment of Syngas-Utilizing Pre-Reformer in r-SOC Technology Advancement by Murphy M. Peksen

“…The developed model forecasts and optimizes reforming processes across diverse fuel compositions, encompassing oxygen-containing syngas blends and controlled feedstock outlet process conditions. …”
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Comprehensive Analysis of the Influence of Technical and Biological Variations on De Novo Assembly of RNA-Seq Datasets by Gonzalez Sergio Alberto, Rivarola Maximo, Ribone Andres, Lew Sergio, Paniego Norma

“…In this study, we investigate and discuss how different variables accounting for the complexity of RNA-Seq data influence assembly results independently of the software used. …”
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Low carbohydrate high fat-diet in real life; A descriptive analysis of cardiovascular risk factors by Henrik Hagström, Linda Nyström Hagfors, Rikard Hedelin, Mattias Brunström, Krister Lindmark

“…Validation of energy intake against expenditure was made using activity monitors. Predictive variables for the linear regression models were selected using stepwise bidirectional assessment of Akaike information criterion (AIC). …”
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Enhancing concrete strength for sustainability using a machine learning approach to improve mechanical performance by Amir Khan, Aneel Manan, Muhammad Umar, Mudassir Mehmood, Kennedy C. Onyelowe, Krishna Prakash Arunachalam

“…Three ML models Extreme Gradient Boosting (XGBoost), Decision Tree, and K-Nearest Neighbors (KNN) were developed and evaluated using metrics such as R2, RMSE, MAE, and MAPE. …”
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Response surface methodological approach for optimizing the enzyme activity and enzymatically mediated bioprecipitation of heavy metals by alkaline phosphatase by Virendra Vaishnav, Tanushree Chatterjee, Manisha Agrawal

“…Statistical analysis of variance (ANOVA) was performed to classify the competence of the developed model and revealed a good understanding between the experimental data and the proposed model. …”
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Moringa oleifera seed oils: Physico-chemical characterization and its authentication using FTIR spectroscopy and chemometrics by Irnawati, Abdul Rohman, Yamin, Nurrulhidayah Ahmad Fadzillah, Aida Azrina Azmi, Nurlatifah, Anjar Windarsih, Ratna Asmah Susidarti, Ruslin

“…The chemometrics of partial least square-discriminant analysis (PLS-DA) could classify of MOSO using fatty acid compositions as variable into two distinct groups using two discriminant components in which the first and second components could describe 62.5 % and 18.7 %, respectively. …”
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Community knowledge, perceptions and practices around COVID-19 in Sierra Leone: a nationwide, cross-sectional survey by Maike Winters, Helena Nordenstedt, Mohammad B Jalloh, Paul Sengeh, Nance Webber, Ibrahim Ngobeh, Thomas Samba, Harold Thomas

“…Objectives To assess the public’s knowledge, attitudes and practices about the novel coronavirus in Sierra Leone to inform an evidence-based communication strategy around COVID-19.Design Nationwide, cross-sectional Knowledge, Attitudes and Practices survey.Setting 56 randomly selected communities in all 14 districts in Sierra Leone.Participants 1253 adults aged 18 years and older of which 52% were men.Main outcome measures We calculated proportions of core indicators (awareness, knowledge, risk perception, practices). A composite variable for knowledge (based on seven variables) was created, and categorised into low (0–2 correct), medium (3–4) and high (5–7). …”
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Advancements in natural remediation management techniques for oil spills: Challenges, innovations, and future directions by Komal Sharma, Garishma Shah, Hanwant Singh, Upma Bhatt, Khushbu Singhal, Vineet Soni

“…These challenges include the variability in oil composition, environmental conditions, and the availability of suitable microorganisms or plants for degradation. …”
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Integrating human services and criminal justice data with claims data to predict risk of opioid overdose among Medicaid beneficiaries: A machine-learning approach. by Wei-Hsuan Lo-Ciganic, Julie M Donohue, Eric G Hulsey, Susan Barnes, Yuan Li, Courtney C Kuza, Qingnan Yang, Jeanine Buchanich, James L Huang, Christina Mair, Debbie L Wilson, Walid F Gellad

“…Nine of the top 30 most important predictors in the integrated model were human services and criminal justice variables. …”
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Isokinetic assessment of muscle function according to physical activity level and cardiovascular risk in asymptomatic adults aged 20 to 80 years by V.Z. Dourado, M.B. Nascimento, R.C. Navarro, R.P. da Silva, B.B. Gonze, K.M. Guedes, V.T. Lauria, W.O. Vieira, T.L.V.D.P. Ostolin

“…Percentiles of normality for muscle function were described by sex and age (20-39, 40-59, and >60 years). The models accounted for 49.6-70.9% of the total variability of muscle function, but MVPA and cardiovascular risk slightly influenced the coefficient of determination (additional ΔR2=0.003-0.006). …”
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