The effects of citral on the intestinal health and growth performance of American bullfrogs (Aquarana catesbeiana) by Xiaoting Zheng, Qiuyu Chen, Xueying Liang, Jingyi Xie, Alfredo Loor, Hongbiao Dong, Jinlong Yang, Jiasong Zhang

“…Growth performance analysis revealed that 4 mL/kg citral supplementation significantly improved weight gain rate (WGR), specific growth rate (SGR), carcass weight (CW), and feed efficiency (FE), while survival rates declined at 16 mL/kg (P < 0.05). A linear regression model determined the optimal dietary citral concentration to be 3.216–3.942 mL/kg. …”
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Effect of exposure to environmental phenols and parabens on folate concentrations among 3–19 years old children and adolescents: A cross-sectional study in NHANES 2005–2016 by Meng Ni, Zhenying Lin, Ze Chen, Ziwen Xu, Qianqian Zhang, Jiuru Zhao, Wei Li, Yanan Tang, Zelin Cao, Baihe Li, Dongting Yao, Chunyu Cheng, Yi Hu, Xiaorui Liu, Jiji Chen, Zhiwei Liu

“…Since many pollutants are co-exposed congeners, with interactive effects between pollutants, we employed multivariate linear regression model, weighted quantile sum regression, and Bayesian kernel machine regression (BKMR) to quantify the impact of folate levels in serum and red blood cell (RBC) and the overall effects of combined exposures. …”
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Association between fat-soluble vitamin co-exposure patterns and blood pressure in people with hypertension: a cross-sectional study by Suming Dai, Ping Wang, Sijia Wang, Sijia Wang, Hong Chen, Zhixin Cui, Wenhai Lu, Wenhai Lu, Ziyi Zhou, Ziyi Zhou, Nan Zhang, Zhuo Wang, Tengfei Lin, Tengfei Lin, Yun Song, Yun Song, Lishun Liu, Lishun Liu, Xiao Huang, Ping Chen, Genfu Tang, Yong Duan, Yong Duan, Hao Zhang, Binyan Wang, Binyan Wang, Binyan Wang, Yan Yang, Yan Yang, Yan Yang, Zezhong Tian

“…The multiple linear regression model was used for subsequent analyses.ResultsParticipants were classified into two co-exposure patterns of fat-soluble vitamins. …”
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600 meters to VO2max: Predicting Cardiorespiratory Fitness with an Uphill Run by Kübra Stoican, Regina Oeschger

“…Subsequently, various studies have shown that deep learning models outperform linear regression models in predicting VO2max values [5]. Previous studies also showed that, to accurately predict VO2max in a laboratory or through indirect tests, individuals need to reach their maximal effort rather than performing submaximal exercises [6]. …”
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Inflammatory Markers Are Positively Associated with Serum trans-Fatty Acids in an Adult American Population by Mohsen Mazidi, Hong-kai Gao, Andre Pascal Kengne

“…Analysis of covariance and multivariable-adjusted linear regression models were used to investigate the associations between these parameters, accounting for the survey design. …”
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Spot Urine Estimations Are Equivalent to 24-Hour Urine Assessments of Urine Protein Excretion for Predicting Clinical Outcomes by Boon Wee Teo, Ping Tyug Loh, Weng Kin Wong, Peh Joo Ho, Kwok Pui Choi, Qi Chun Toh, Hui Xu, Sharon Saw, Titus Lau, Sunil Sethi, Evan J. C. Lee

“…Results. The linear regression models showed that 24 hr urine protein excretion was most predictive of GFR decline but all other methods were similar. …”
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Emotional State as a Key Driver of Public Preferences for Flower Color by Juan She, Renwu Wu, Bingling Pi, Jie Huang, Zhiyi Bao

“…Factors such as age, annual household income level (AI), personal income sources (PI), nature experience, and emotional state (TMD) significantly influence color preferences, with emotional state identified as the most critical factor. Lastly, linear regression models further explain the potential mechanism of the influencing factors. …”
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Novel Degree-Based Topological Descriptors of Carbon Nanotubes by M. C. Shanmukha, A. Usha, M. K. Siddiqui, K. C. Shilpa, A. Asare-Tuah

“…Also, the aforementioned three indices along with the geometric-harmonic index are tested for physicochemical properties of octane isomers using linear regression models and computed for some carbon nanotubes.…”
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Physiological Aldosterone Concentrations Are Associated with Alterations of Lipid Metabolism: Observations from the General Population by M. Hannich, H. Wallaschofski, M. Nauck, M. Reincke, C. Adolf, H. Völzke, R. Rettig, A. Hannemann

“…The associations of aldosterone with serum lipid concentrations were assessed in multivariable linear regression models adjusted for sex, age, body mass index (BMI), estimated glomerular filtration rate (eGFR), and HbA1c. …”
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Association of caffeine intake and sleep duration with bone mineral density: a cross-sectional study from National Health and Nutrition Examination Survey between 2011 and 2018 by Yuxue He, Wenjia Zou, Fei Xiao

“…Multivariable linear regression models, adjusted for confounders, were used alongside restricted cubic splines to examine dose-response association. …”
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Sticky Costs Behavior and Earnings Management by Alini da Silva, Vinícius Costa da Silva Zonatto, Cristian Baú Dal Magro, Roberto Klann

“…The sample comprised 160 Brazilian companies listed on BM&FBovespa between 2008 and 2017. Multiple linear regression models were used to analyze the data. We observed that accounting profit is affected by sticky costs behavior and by earnings management practices. …”
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STATISTICAL STUDY OF SOME INDICATORS IN THE LIVESTOCK SECTOR by R amona M aria DIMITROV

“…Also, the correla tion matrix between the indicators is analyzed and three validated linear regression models are presented with the interpretation of the results. …”

Behaviors and influencing factors of Chinese oncology nurses towards frailty care: A cross-sectional study based on knowledge-attitude-practice theory in 2024. by Xiaoxue Chen, Fang Xiao, Yuhua Miao, Huiying Qin, Lirong Yang, Fang Shen, Xiuhong Yuan

“…Two kinds of multiple linear regression models both showed that the factors most significantly associated with the oncology nurses' frailty care behaviors are their self-rated subjective knowledge and attitudes towards frailty identification.…”
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Computation of Differential, Integral Operators and Quantitative Structure–Property Analysis of Boron α-Icosahedral Nanosheet by Khalil Hadi Hakami, Abdul Rauf Khan, Saad Amin Bhatti

“…We looked at the physicochemical properties of boron α-icosahedral nanosheets using reverse degree–based topological descriptors and best-fit linear regression models to get an idea of what they are. Researchers are hoping that this strategy will lead them into new areas where they can investigate related studies.…”
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DETERMINANTS OF ENTERPRISE COLLABORATION ON INNOVATION by Tomasz KIJEK, Anna MATRAS-BOLIBOK, Beata PODSTAWKA

“…To explain the enterprise’s propensity to collaborate on innovation, we employed two linear regression models. As determinants of cooperation, we included the absorptive capacity, the firm size, and the scale of activity. …”
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DOES VENTURE CAPITAL AFFECT CROWDFUNDING PERFORMANCE? by Chia-Ling Chang, Yen-Sheng Lee, Han-Kun Tien

“…The results of linear regression models reveal that the venture capital-funded entrepreneurial firms perform better in the crowdfunding market than their non-funded peers. …”
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DOES VENTURE CAPITAL AFFECT CROWDFUNDING PERFORMANCE? by Chia-Ling Chang, Yen-Sheng Lee, Han-Kun Tien

“…The results of linear regression models reveal that the venture capital-funded entrepreneurial firms perform better in the crowdfunding market than their non-funded peers. …”
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Research on House Price Prediction based on Machine Learning by Yang Xiangjun

“…For the house price prediction task, Random Forests generally perform better than Linear Regression and Single Decision Tree because they can better capture complex patterns in the data and reduce the risk of overfitting. Linear regression models are simple and easy to interpret, but may not be accurate enough when dealing with nonlinear relationships and outliers. …”
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Urban Residents’ Willingness to Choose and Pay for ADAS and Autonomous Driving Functions: Comparison of Two Cities in China by Fang-Kai Wang, Ze-Hao Jiang, Yi-Jia Dong, Yue Ma

“…Using the questionnaire survey data for Jiading and Meishan in China, Logit models are established for willingness to choose, and linear regression models are established for willingness to pay. …”
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Using the Bayesian Model Averaging Approach for Genomic Selection by Considering Skewed Error Distributions by Azadeh Ghazanfari, Afshin Fayyaz Movaghar

“…Materials and Methods: In this study, we apply the BMA method to linear regression models with skew-normal and skew-t distributions to determine the best subset of predictors. …”
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