Investigation of factors that affect post-fire recovery of photosynthetic activity at global scale by Yicheng Shen, I. Colin Prentice, Sandy P. Harrison

“…We then examined the factors that influence post-fire recovery time, initially using the relaxed lasso technique to identify the most important factors and then using a linear regression model incorporating these factors. We show that vegetation characteristics, the characteristics of the fire, and post-fire climate all influence recovery time. …”
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Blood pressure, gallstones, and age at first cholecystectomy in U.S. adults: a cross-sectional study by Yue Zhang, Ruifeng Duan, Xin Chen, Lijuan Wei

“…The two-piecewise linear regression model and logarithmic likelihood ratio test elucidated the inflection point of systolic blood pressure (SBP) on the age at first cholecystectomy. …”
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Distance and Direction Matters: Risk Perception Among Residents Around a Dump Yard in Kerala, India by Payyappilly AP, Babu P, Nair MR

“…The responses of the participants were used to compute a risk perception score, which reflected participants’ risk perception regarding the environment and their health.Results: Among the participants in the study, those who lived within 2 kilometers (2.3 (95% CI 0.96, 3.7; p< 0.001)), those who lived to the east (2.7 (95% CI 1.1, 4.2; p< 0.001)) and those who reported perceiving strong malodor from the dump yard (2.0 (95% CI 0.54, 3.4; p=0.007)), had a higher risk perception in the multivariate linear regression model. Women had a lesser risk perception compared to men (− 2.6 (95% CI − 3.7, − 1.4; p< 0.001)).Conclusion: The findings highlight the importance of geospatial characteristics (distance and direction), malodor and gender differences in shaping the risk perceptions among the proximate residents living around a waste dump yard. …”
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Postoperative tibial plateau angle changes and their influence on ground reaction forces 6 months after TPLO: a prospective study by Frederik Volz, Daniela Eberle, Matthias Kornmayer, Julius Klever, Andrea Meyer-Lindenberg

“…The multivariate linear regression model for the symmetry index of peak vertical force (SIPVF) 6 months post-op was significant (R2 = 0.210; p = 0.031), and the TPA at 6 months post-op was the only significant factor (ß = 0.459; 95% CI: 0.41–1.44; p &lt; 0.001), indicating that a lower TPA 6 months post-op results in lower SIPVF values.ConclusionThe study indicated that lower TPAs 6 months post-op lead to a more symmetrical gait in hindlimbs 6 months post-op. …”
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Healthcare Workers’ General Health and Its Relation with Anxiety, Anger, and Posttraumatic Stress Disorder during COVID-19 Outbreak in Southeast Iran by Alireza Malakoutikhah, Leila Ahmadi Lari, Pooya Baharloo, Rasmieh Al-Amer, Mohamed Alnaiem, Hossein Khaluei, Mahlagha Dehghan

“…The results of the multiple linear regression model that showed anxiety, anger, gender, and hospital were predictors of mental health (P<0.05). …”
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Are Emirati consumers in United Arab Emirates open to alternative proteins? Insights into their attitudes and willingness to replace animal protein sources by Sajid Maqsood, Feyisola Fisayo Ajayi, Hussein Mostafa, Kehinde Ganiyat Lawal, Juliet Mubaiwa, Noora Alantali, Maryam Alshihhi, Meera Aldhaheri

“…Data was analyzed using Pearson Chi-square to correlate two demographic variables and linear regression to identify predictors that influence the participants to shift toward alternative proteins.ResultsAbout 51.2% of Emiratis were familiar with alternative proteins, with 74% preferring plant-based options. Using linear regression model, the following were factors influencing willingness to replace meat: (i) meat, dairy and cereal attachment, (ii) sustainability awareness, (iii) awareness of alternative proteins, (iv) nutrition consciousness, (v) availability of alternative proteins, (vi) taste of alternative proteins products, and (vii) advertisement. …”
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Associates of an Elevated Natriuretic Peptide Level in Stable Heart Failure Patients: Implications for Targeted Management by Aftab Jan, Ian Dawkins, Niamh Murphy, Patrick Collier, John Baugh, Mark Ledwidge, Kenneth McDonald, Chris J. Watson

“…In a multiple linear regression model, age, creatinine, and LVEF remained significant associates of BNP. …”
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Association between physical activity and cognitive function in post-menopausal women with high parity: the chain-mediating effects of nutritional status and depression by Xiaotong Chen, Kai Wei, Shanshan Peng, Na Liu, Leqi He, Biying Wu, Meifang Shi, Yong Lin

“…In the fully adjusted generalized linear regression model, PA was significantly associated with cognitive function [β: 0.795, 95% confidence interval (CI): 0.251–1.340, P < 0.05]. …”
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Longitudinal Changes of Axial Length and Associated Factors in Congenital Ectopia Lentis Patients by Jingxin He, Zhangkai Lian, Qianzhong Cao, Zhenzhen Liu, Charlotte Aimee Young, Xinyu Zhang, Danying Zheng, Guangming Jin

“…For the surgery group, the results of the linear regression model showed that a higher change rate of AL was associated with younger age (older age: β = −0.009, 95% CI: −0.014 to −0.003, and P=0.002) and worse baseline BCVA (logMAR) (β = 0.256, 95% CI: 0.072 to 0.439, and P=0.007). …”
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Analysis of the Effect and Role of Indoor Environmental Quality in the COVID-19 Transmission by Katharina Oginawati, Rinaldy Jose Nathanael, Udjianna Sekteria Pasaribu, Utriweni Mukhaiyar, Afif Humam, Nisa Fadlilah Fathul Ilmi, Septian Hadi Susetyo

“…Linear regression is used to further investigate and predict the indoor transmission rate with significant environmental parameter as predictor. The linear regression model showed that 27.3% of indoor transmission rate variability are caused by its relationship with ventilation, the predictor used in the model.…”
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Artificial intelligence-based approaches for multi-station modelling of dissolve oxygen in river by G. Elkiran, V. Nourani, S.I. Abba, J. Abdullahi

“…ABSTRACT: In this study, adaptive neuro-fuzzy inference system, and feed forward neural network as two artificial intelligence-based models along with conventional multiple linear regression model were used to predict the multi-station modelling of dissolve oxygen concentration at the downstream of Mathura City in India. …”
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Rapid estimation method of lithium battery state of health based on novel health feature by DONG Xiaohong, DONG Jinbo, WANG Mingshen, ZENG Fei, PAN Yi

“…The training set divided by two datasets is used to establish a multiple linear regression model, and the validation set divided by two datasets is used to verify the method. …”
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Relationship Between Frequency Domain Indicators of Heart Rate Variability and Both Age and Duration of Illness in Patients with Headache: A Cross-Sectional Study by Jong-Ho Kim, Jong-Hee Sohn, Sung-Mi Hwang, Jae-Jun Lee, Young-Suk Kwon

“…However, TP decreased with age in the multivariate linear regression model (coefficient [95% confidence interval]: −0.003 [−0.003–−0.002]). …”
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Greater residential greenness is associated with reduced epigenetic aging in adults by Andrey I. Egorov, Shannon M. Griffin, Jo Klein, Wei Guo, Jennifer N. Styles, Jason Kobylanski, Mark S. Murphy, Elizabeth Sams, Edward E. Hudgens, Timothy J. Wade

“…EAA values were calculated as residuals from the linear regression model of epigenetic age on chronological age. …”
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Nonlinear association between depressive symptoms and homeostasis model assessment of insulin resistance: a cross-sectional analysis in the American population by Chunqi Jiang, Bo Wang, Yinuo Qu, Jun Wang, Xin Zhang

“…Then, we constructed a two-piece linear regression model and performed a recursive algorithm to calculate the inflection point.ResultsThe study included 20,282 participants in the United States. …”
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Adverse childhood experiences, sleep quality/duration and later-life lower extremity function among older adults in China: evidence from CHARLS by Jiaqiang Xiao, Xiaosheng Dong, Meng Ding, Tao Kong

“…The relationships between ACEs, sleep, and lower extremity function were analyzed using multivariate linear regression model and restricted cubic splines. Results After adjusting for covariates, older adults with four or more ACEs exhibited worse lower extremity function compared to those with no ACEs (β: -0.175). 6–8 h of sleep was associated with improved lower extremity function (β: 0.119), while good sleep quality was also associated with higher lower extremity function scores (β: 0.177). …”
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The shield of the screen: The role of anger on the development of social media addiction and internet gaming disorder by Fiammetta Iannuzzo, Clara Lombardo, Maria Catena Silvestri, Fabrizio Turiaco, Giovanni Genovese, Caterina Rombolà, Carmela Mento, Maria Rosaria Anna Muscatello, Antonio Bruno

“…A correlation analyses showed a significantly positive relationship between the total score of the BSMAS and the STAXI–2 scales SANG (p < 0.0001), TANG (p < 0.0001), AX–O (p = 0.003), and AX–I (p < 0.0001), and between the total score of the IGDS9–SF and the STAXI–2 scales SANG (p = 0.002), TANG (p < 0.0001), AX–O (p = 0.001), AX–I (p < 0.0001), and AC–O (p = 0.004). A linear regression model showed how TANG and AX–I were direct predictors of the BSMAS total scores, and how AX–I was a direct predictor of the IGDS9–SF total scores. …”
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Assessment of economic burden due to COVID-19 pandemic during institutional childbirth in Nepal: before-and-after design by Ashish KC, Rejina Gurung, Prajwal Paudel, Honey Malla, Avinash K Sunny, Mats Målqvist, Omkar Basnet, Pratiksha Bhattarai

“…Bivariate (unadjusted) and multivariate (adjusted) linear regression modelling was conducted to assess the change in OOPE in US dollar between the periods. …”
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Domestic water consumptions and associated factors in rural household of Harari region, Eastern Ethiopia; A cross sectional study by Bushra Yusuf Ahmed, Sina Temesgen Tolera, Liku Muche Temesgen, Abraham Geremew

“…Descriptive analysis was used to determine average total and per capita water consumption, while a multiple linear regression model allowed for the identification of associated factors and the prediction of water consumption with statistical significance.ResultDaily water consumption was found to be 103.3 L/hh/d and 17.6 L/c/d. …”
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Metropolitan construction carbon emission efficiency: an integrative static-dynamic analytical framework by Jianing Hu, Wanxiang Yao, Gangwei Cai, Qinfeng Zhao, Chanjuan Wang, Tongyu Xu, Chunyan Shi, Weijun Gao

“…The Malmquist-Luenberger index model, multiple non-linear regression model, and principal component analysis were used to research the driving factors dynamically. …”
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