Combination of machine learning and Raman spectroscopy for prediction of drug release in targeted drug delivery formulations by Wael A. Mahdi, Adel Alhowyan, Ahmad J. Obaidullah

“…Abstract In this research, advanced regression techniques are investigated for modeling intricate release patterns utilizing a high-dimensional dataset comprising more than 1500 spectrum-based variables and categorical inputs. …”
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Seasonal incidence and comparative efficacy of insecticides against leafhopper (Amrasca biguttula biguttula) and Whitefly (Bemisia tabaci) on okra (Abelmoschus esculentus) by K S ISHWARYA LAKSHMI, C N RAJARUSHI, B V JAYANTH, SHASHIKALA M, VOODIKALA S AKHIL

“…Leafhopper populations exhibited a significant negative relationship with temperature (r = -0.66* in 2019) and a positive association with relative humidity (r = 0.67 in 2020). Linear regression models indicated that temperature accounted for 52.35% and 58.7% of whitefly population variability and 50.24% and 48.82% for leafhoppers in 2019 and 2020, respectively. …”
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Risk factors and prediction of distant metastasis (DM) of colon adenocarcinoma: a logistic regression and machine learning study based on surveillance, epidemiology, and end result... by Qiang Guo, Junyun Li, Zhe Wei, Jingjing Xu, Shaojun Duan, Jianfeng Li, Yaxi Liu

“…., low sensitivity), this study is to identify pathological and laboratory risk factors and establish models predicting distant metastasis of colon adenocarcinoma (CA) patients. …”
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Correlation between mRankin scale at 3 months and mTICI score: A systematic review, meta-analysis, and meta-regression on randomized controlled trials and registries by Gianluca De Rubeis, Luca Prosperini, Francesca Romana Pezzella, Sebastiano Fabiano, Luca Bertaccini, Andrea Wlderk, Sabrina Anticoli, Luca Saba, Claudio Gasperini, Enrico Pampana

“…A meta-analysis with a random-effects model was performed. Meta-logistic and meta-linear regressions were used to correlate mTICI and mRS in both RCTs and registries. …”
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A non-linear association between AST/ALT ratio and 28-day mortality in critically ill elderly: evidence from a multicenter study by Ling Wang, Ping Jin, Yanping Hui, Libo Li, Yixuan Wang, Xiang Wu, Yihua Bai, Lei Lu, Hongfei Qiao, Qiaojun Zhang

“…The connection between the AST/ALT ratio and 28-day all-cause mortality was assessed using multivariate Cox regression analysis, and generalized additive models were employed to investigate non-linear relationships. …”
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The non-linear relationship between the metabolic score for insulin resistance and three-month outcomes in the individuals with acute ischemic stroke: a prospective Korean cohort s... by Yingkai Gao, Wenping Sun

“…The effect of METS-IR levels on three-month unfavorable outcomes was analyzed using a binary logistic regression model, while smoothed curve fitting and generalized additive modeling were applied to investigate non-linear associations. …”
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Changes in the Suicide Rate under the Influence of Daily Activities in EU Countries by P. A. Korotkov, A. B. Trubyanov, E. A. Zagaynova, A. I. Zverev

“…In order to analyze the relation between the variables an end-to-end linear regression model arranged by all years and countries is used; the panel data structures are not taken into account in the model (as we have to deal with pseudo panel data). …”
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Non-linear association between weight-adjusted-waist index and obstructive sleep apnea: a cross-sectional study from the NHANES (2005–2008 to 2015–2020) by Shu Miao, Shu Miao, Qin Ben, Qin Ben, Cai Song, Cai Song, Yashi Zhou, Yashi Zhou, Bingjie Xie, Juxiang Peng, Juxiang Peng, Jukun Song

“…Upon conducting fully adjusted models, A positive relevance between WWI and OSA was established, with an odds ratio of 1.57 (95% CI: 1.44, 1.71), indicating a significant relationship. …”
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The non-linear association of physical fatigue with depression and anxiety among mental health professionals who recovered from COVID-19 infection: a national survey in China by Yu-Cheng Wang, Yu-Cheng Wang, Yi-Ran Huang, Yi-Ran Huang, He-Li Sun, He-Li Sun, Yuan Feng, Pan Chen, Pan Chen, Zhaohui Su, Teris Cheung, Gabor S. Ungvari, Gabor S. Ungvari, Lloyd Balbuena, Feng-Rong An, Yu-Tao Xiang, Yu-Tao Xiang, Gang Wang

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A novel approach for downscaling land surface temperature from 30 m to 10 m using land features multi-interaction by Alfred Homère Ngandam Mfondoum, Sofia Hakdaoui, Ali Mihi, Ibrahima Diba, Mesmin Tchindjang, Luc Beni Moutila, Frederic Chamberlain Lounang Tchatchouang

“…A multilinear regression model is further built between combined pairs of interactions and LST15 m. …”
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Optimizing Standardized Ileal Digestible Methionine Requirements of White Pekin Ducks in the First 21 Days Post-Hatch by Nuwan C. Chathuranga, Myunghwan Yu, Yu-Bin Kim, Hyun-Min Cho, Shan R. Nawarathne, Elijah O. Oketch, Jung-Min Heo

“…Body weight and feed intake were recorded weekly, and the average daily gain and feed conversion ratios were calculated. Overlapping linear- and quadratic-plateau regression models were employed to estimate SID Met requirements. …”
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Non-linear association between metabolic score for insulin resistance and nonalcoholic fatty liver disease: analysis of US National health and nutrition examination survey data, 20... by Shanshan Wang, Ping Li, Zhenhong Guo, Xiaojuan Rao

“…Non-linear dynamics were investigated through smoothing spline models and segmented regression. …”
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Non-linear association between neutrophil-to-lymphocyte ratio and 90-day mortality in patients with pneumonia receiving glucocorticoids alone or in combination with other immunosup... by Caizhen Chen, Xiuguo Zhang, Baoli Li, Qian Geng

“…A two-piecewise linear regression model was used to examine the nonlinear association between NLR and in-hospital mortality. …”
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Review and practical excursus on the comparison between traditional statics methods and Classification And Regression Tree (CART) in real-life data: Low protein diet compared to Me... by Vincenzo Calabrese, Daniela Metro, Angela Alibrandi, Domenico Maviglia, Valeria Cernaro, Veronica Maressa, Elisa Longhitano, Guido Gembillo, Domenico Santoro

“…Similar results were found using traditional statics, but CART gave a model with the proportion of the explained outcome by the model (R2) higher by about 20%, thus a stronger model. …”
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Machine Learning‐Based Failure Prediction in Concrete Slabs and Cubes Under Impact Loading by Mohammad Hematibahar, Ahmed Deifalla, Adham E. Ragab, Gebre Tesfaldet

“…The research uses gradient boosting, random forest, lasso, linear regression, and support vector regression to create predictive models for the behavior of these two concrete models. …”
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Comparing the effect of pre-anesthesia clonidine and tranexamic acid on intraoperative bleeding volume in rhinoplasty: a machine learning approach by Zahra Asghari Varzaneh, Akram Hemmatipour, Hadi Kazemi-Arpanahi

“…The findings were then compared to determine the most effective medication and the best predictive model. The results revealed that the Linear and Ridge regression algorithms outperformed all other models based on three evaluation metrics: mean absolute error (MAE), mean square error (MSE), and R-squared. …”
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Pengaruh Kriteria Teknis Dana Alokasi Khusus (DAK) Bidang Jalan Terhadap Jaringan Jalan pada Beberapa Pulau di Indonesia by Desi Meriana

“…The study's results show that Nusa Tenggara and Bali Islands have the best model for explaining the variation of kjtm and npe variables, with better consistency and significance, while Java Island shows a significant influence of Kj, Kij, and Aprj variables on road quality. …”
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The statistical relationship between sweet consumption and academic achievement among Palestinian university students: a cross-sectional study by Inad Nawajah

“…Frequent sweet consumption was significantly associated with lower GPA in both crude and fully adjusted models (β = − 0.15; 95% CI: − 0.29, − 0.01; p = 0.039). …”
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The Associations between body composition, macronutrient intake, and physical fitness in adolescent swimmers by Renaldy Carlos Gunawan, Satwika Arya Pratama

“…Including exercise activities, body composition, and nutrient variables increased R² to 0.597, but the full model was not statistically significant (adjusted R² = 0.404, p = 0.803). …”
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Evaluating the Relationship between Physiological Parameters and Performance of Female Swimmers in the 200 m Individual Medley by Rajarshi Gayen, Sandhya Tiwari, Sandeep Tiwari

“…The F-value for the regression model was determined as highly significant, indicating the reliability of the model. …”
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