Comparing the Quality of Prenatal Care During the Sixth Wave of COVID-19 with a Corresponding Period Thereafter: Proposing Optimal Solutions by Soghra Khani, Zohre Shahhoseni, Malihe Nourollahpour Shiadeh, Roya Nikbakht, Arezoo Kalteh

“…Mann–Whitney, Kruskal–Wallis, and generalized linear regression tests, as well as SPSS version 23, were used to analyze the data. …”
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Comprehensive Multi-indicator Prediction Model for Storage Quality of Multi-cultivar Kiwifruit Based on Visible-Near Infrared Spectroscopy by Zizhao LIANG, Xin LI, Pu LIU, Wenqiang GUAN, Ming LI

“…A quality prediction model based on partial least squares (PLS) and multiple linear regression (MLR) was developed for kiwifruit physicochemical indices. …”
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Effects of Climate, Soil, Topography and Disturbance on Liana Prevalence by Emma J. Mackintosh, Catherine E. Waite, Francis E. Putz, Marion Pfeifer, Chengrong Chen, Zhongming Lan, Sophie Brennan, Andrew R. Marshall

“…., rattans) stems ≥ 1 cm DBH were measured and environmental data were collected on climate, soil and topography. Generalised linear models were used with multi‐model averaging to quantify the relative effects of the environmental variables on measures of liana prevalence (liana–tree basal area ratio, woody vine basal area and stem density and rattan stem density). …”
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Ecological niche modeling of Prosopis africana (Guill., Perrot., and Rich.) Taub in Togo, West Africa under current and future climate conditions by Rachida Gbadamassi, Mahunan Eric José Vodounnon, Hèou Maléki Badjana, Guede Noël Zirihi, Kpérkouma Wala, Komlan Batawila, Koffi Akpagana

“…In predicting the distribution of P. africana, we evaluated the performance of five species distribution models (SDMs): Random Forest (RF), General Additive Model (GAM), Boosted Regression Tree (BRT), Maximum Entropy (MaxEnt), and General Linear Model (GLM). We employed Kappa and True Skill Statistic (TSS) as evaluation metrics to identify the most accurate model. …”
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Beyond clinical scales: an observational study on instrumental gait analysis and biomechanical patterns in patients with Parkinson’s disease by Paolo De Pasquale, Mirjam Bonanno, Cristiano De Marchis, Luca Pergolizzi, Antonino Lombardo Facciale, Giuseppe Paladina, Maria Grazia Maggio, Federica Impellizzeri, Irene Ciancarelli, Angelo Quartarone, Angelo Quartarone, Rocco Salvatore Calabrò

“…Statistical analysis involved a non-parametric test to compare pathological and normal data, clustering methods to identify groups based on clinical evaluations, and a combination of non-parametric analysis and linear models to assess dependencies on clinical scales.ResultsThe results showed that PD patients had significant gait kinematic differences compared to normal values, with increased temporal and shortened spatial parameters. …”
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Insights into the interplay among zinc, biological aging, fasting, energy intake, and inflammation: A cross-sectional analysis using 2015-2018 NHANES participants by Rebecca Lake, Juan Liuzzi, Changwon Yoo

“…Survey weighted generalized linear models were constructed and the Rao-Scott likelihood ratio test was implemented via the survey package in R. …”
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Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study by Heng-Qian Huang-fu, Nan Zhang, Li Wang, Hui-Juan Liang, Ben-Song Xian, Xiao-Fang Gan, Yingsi Lai

“…Taking Baotou, a medium-sized city in China, as aneample, we assessed the suitability of using POI data for measuring geographic accessibility to healthcare facilities.We computedthe difference of geographic accessibility calculated based on POI data and that on authoritative data.Logistic regression and a multiple linear regression model was applied to identify factors related to the consistency between the two data sources. …”
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Using machine learning techniques for early prediction of tracheal intubation in patients with septic shock: a multi-center study in South Korea by Ji Han Heo, Taegyun Kim, Tae Gun Shin, Gil Joon Suh, Woon Yong Kwon, Hayoung Kim, Heesu Park, Heejun Kim, Sol Han, the Korean Shock Society

“…A principal component analysis revealed a complex, non-linear decision boundary with respect to the application of tracheal intubation within a 24-hour time window. …”
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Method for quantitative analysis of the marker substrate ABCB1-protein fexofenadine in Caco-2 cell lysate by M. A. Kopanitsa, Yu. S. Tranova, I. V. Chernykh, A. V. Shchulkin, P. Yu. Mylnikov, O. V. Kalinkina, E. N. Yakusheva

“…The method was validated for the following parameters: selectivity, linearity, lower limit of quantitation (LLOQ), correctness, precision, sample transfer and sample stability. …”
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Trajectories of α-fetoprotein and unresectable hepatocellular carcinoma outcomes receiving lenvatinib: a retrospective, multicenter cohort study by Yitao Zheng, Jingna Hu, Yingna Mei, Yanjun Xiang, Haofeng Lu, Jiuting Zhu, Kaile Pan, Shuqun Cheng, Yang Liu

“…Materials and methods A retrospective analysis was conducted on 553 patients diagnosed with unresectable hepatocellular carcinoma (uHCC) who received lenvatinib as a first-line systemic treatment at four centers between March 2019 and March 2022. The latent class linear mixed model was used to fit the dynamic changes of AFP and generate AFP trajectories. …”
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High-Order Mode Mode-Locked Fiber Laser Based on Few-Mode Saturable Absorber by Yi Huang, Si Lv, Linping Teng, Longtao Wang, Jiafeng Lu, Jiangtao Xu, Xianglong Zeng

“…One is a ring fiber laser based on a carbon nanotube (CNT) saturable absorber (SA), in which the combination of a long period fiber grating (LPFG) and a mode selective coupler (MSC) is used for the cycle of mode conversion between LP₀₁ and LP₁₁ modes. The other is a linear-cavity laser using a FM-based SESAM with the HOM oscillation, in which a MSC is used for mode conversion inside the cavity. …”
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An artificial intelligence and machine learning-driven CFD simulation for optimizing thermal performance of blood-integrated ternary nano-fluid by Mohib Hussain, Du Lin, Hassan Waqas, Qasem M. Al-Mdallal

“…An AI-integrated, the Levenberg-Marquardt algorithm is employed with a neural network back propagation approach (ANN-LMA) for comprehensive analysis of viscous dissipation and the Lorentz force effects influenced tri-hybrid nano-fluid mixture. Non-linear, coupled partial differential equations are transformed into ordinary differential equations with similarity scaling to characterize heat transfer and fluid flow, which are then numerically solved using the modified finite difference method (the Keller-Box method). …”
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Kinetic investigation of NH3 decomposition over Ru-based catalysts: The limiting role of H* surface coverage and its impact on reactor engineering by Yi Qiu, Federico Sascha Franchi, Nicola Usberti, Alessandra Beretta

“…For all the formulations, NH3 concentration and H2-cofeed are found to negatively affect the conversion, in line with the literature; however, original experiments at varying NH3 concentration with large H2-cofeed unambiguously show that, in the presence of H2-rich streams representative of the catalyst application, the intrinsic kinetics have a linear dependence on NH3 partial pressure and a negative order (−1.5) with respect to H2 partial pressure, consistent with the hypothesis that ammonia dehydrogenation is rate determining and H* is the most abundant surface intermediate. …”
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Home-based exercise for chemotherapy-induced peripheral neuropathy: a feasibility study by Chieko Miyata, Hirokazu Furuta, Kohei Mizuno, Yoshiyuki Nagayama, Yosuke Hosaka

“…For the analysis of continuous variables, missing data were assumed to be missing at random and were handled using multiple imputation (MI), followed by generalized linear models (GLM). A total of 100 imputations were generated to ensure the stability and reliability of the estimates. …”
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Association between lactate/albumin ratio and prognosis in critically ill patients with acute kidney injury undergoing continuous renal replacement therapy by Jianfei Liu, Jie Min, Jianhong Lu, Lei Zhong, Hui Luo

“…RCS analysis revealed a non-linear correlation between LAR and the risk of mortality at both 28 and 360 days. …”
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A broad spectrum Shigella vaccine based on VirG53 – 353 multiepitope region produced in a cell-free system by Girmay Desalegn, Charlotte Abrahamson, K. Ross Turbyfill, Lucy Pill-Pepe, Leslie Bautista, Chitradevi S. Tamilselvi, Dylan Dunn, Neeraj Kapoor, Barbara Sullinger, Matheo Herrera, Edwin V. Oaks, Jeff Fairman, Marcela F. Pasetti

“…Seeking to refine the vaccine antigenic target and achieve scalable manufacturing compatible with Good Manufacturing Practices, we mapped linear B-cell epitopes spanning the entire VirG protein sequence by probing the immune reactivity of 10-mer peptides (overlapping 4–8 aa) with sera from Shigella-infected rhesus monkeys. …”
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Improving Ex Vivo Nasal Mucosa Experimental Design for Drug Permeability Assessments: Correcting Mucosal Thickness Interference and Reevaluating Fluorescein Sodium as an Integrity... by Shengnan Zhao, Jieyu Zuo, Marlon C. Mallillin, Ruikun Tang, Michael R. Doschak, Neal M. Davies, Raimar Löbenberg

“…These results suggest that the relationship between epithelial injury and paracellular transport may be non-linear and not universally applicable under ex vivo conditions, limiting the suitability of Flu-Na as a standalone marker of mucosal integrity. …”
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Mediating effects of social detachment in young and middle-aged stroke patients between stigma and ability to return to work by Jinping Dong, Xueying Ding, Yating Wen, Shujie Sun, Jingliang Wu, Jianhua Wang, Yang Fan, Guojing Hu, Zhang Xin, Jiayin Li, Xiaoyan Sun

“…Social isolation was negatively correlated with work ability (r = −0.418, P < 0.01). Multiple linear stepwise regression analysis indicated that stroke type, duration of illness, mRS score, stigma, and social isolation are significant factors affecting work ability in young and middle-aged stroke patients. …”
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Semantic distances of WAIS Similarities word pairs in non-demented adults: An item-level index of semantic memory granularity by Matteo De Marco, Satyam Chauhan, Martina Bocchetta, Annalena Venneri

“…Six hundred sixty-nine non-demented participants completed a neuropsychological battery inclusive of SIM and consolidated tests of semantic memory and executive functioning. Hierarchical linear regressions were designed to test the association between LCH and semantic memory performance after controlling for major confounders. …”
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Uncertainty analysis method and application of neutron multi-sphere spectrometer measurement based on Monte Carlo method by ZHANG Dake, TANG Zhihui, WEI Yingjing, LI Taosheng, CAO Qinjian, SUN Bowen

“…The inherent complexities and non-linearities in their calculation processes, such as correlated variables, make traditional uncertainty analysis methods based on theoretical models and empirical formulas (e.g., the GUM (Guide to the Uncertainty in Measurement) method) unsuitable.PurposeThis study aims to demonstrate the application of the Monte Carlo (MC) method as an effective tool for evaluating measurement uncertainty in multi-sphere spectrometers, addressing the challenges posed by complex systems and non-linear problems.MethodsFirst of all, the MC method was employed to conduct probability density sampling of input variables to obtain the probability density distribution of the output variables. …”
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