Low-Energy High-Current Pulsed Electron Beam Surface Treatment on the Tribological Behavior of 17-4PH Steel Produced via Binder Jetting by Lorenza Fabiocchi, Marco Mariani, Andrea Lucchini Huspek, Matteo Pozzi, Massimiliano Bestetti, Nora Lecis

“…Results showed that the voltage affects the roughness and thickness of the treated layer, while the number of pulses influences the hardening of the microstructure and, consequently, the wear resistance. A reciprocating linear pin-on-disk wear test was conducted at 2 N and 10 Hz. …”
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Selection, Identification, and Application of Aptamers against Agaricus bisporus Lectin to Establish an Aptamer-AuNPs Colorimetric Method for Detection of ABL by Hao Gao, Yiling Tian, Min Zhang, Jianhui Liu, Yaowu Yuan, Jianxin Tan, Aijin Ma

“…Based on seq-41, an aptamer-AuNPs colorimetric method was established to detect ABL with a linear range of 0.08∼1.70 μg/mL and the detection limit is 0.062 μg/mL. …”
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Peculiarities of Implementing Multifractal Analysis of the Milled Surfaces Microrelief by Nataliia Balytska, Oleksandr Prylypko, Larysa Hlembotska, Valentina Shadura, Pavel Moskvin

“…The statistical analysis of the area and volumes of spatial microforms reveals a linear relationship between their volumes and the sizes of the elementary cells in the coarse-graining method. …”
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Short-Term Power Load Forecasting Based on DPSO-LSSVM Model by Shujun Ji, Linhao Zhang, Jinteng Wang, Tao Wei, Jiadong Li, Bu Ling, Jinglong Xu, Zuoping Wu

“…The findings denoted that the average absolute percentage error of the least squares support vector machine model using linear kernel function is only 3.75%, the average absolute error is only 256.38MW, and the root mean square error is only 311.20MW. …”
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Relationship between Blood Lead Levels and Anemia: A Cross-Sectional Study on Mining Workers from Peru by Bertha Pumallanqui-Ramirez, Jair Li, Lenin Rueda-Torres, Jaime Rosales-Rimache

“…The relationship between BLL and anemia was evaluated in a generalized linear model with a log link and the Poisson family to obtain crude and adjusted prevalence ratio (aPR) and its 95% confidence intervals (95% CIs). …”
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Sinusoidal regression model for assessment of mudflows dynamics by B. A. Ashabokov, A. A. Tashilova, L. A. Kesheva, N. V. Teunova

“…The coefficient of determination R2, determined for lin­ear regression models, increases in sinusoidal regression models: for series with the number of mudflows from R2 = 0.067 to R2 = 0.645, for precipitation from R2 = 0.028 to R2 = 0.653, for temperatures from R2 = 0.012 to R2 = 0.829. …”
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Assessing the association of multi-environmental chemical exposures on metabolic syndrome: A machine learning approach by Yehoon Jo, Mi-Yeon Shin, Sungkyoon Kim

“…SHapley Additive exPlanations (SHAP) and partial dependence plots (PDP) revealed both linear and nonlinear exposure–response patterns, suggesting threshold effects for key chemicals. …”
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Non-employment over the working life: Implications for cognitive function and decline in later life by A.J. Sizer, A. Sacker, R.E. Lacey, M. Richards

“…Cognitive function was measured by verbal memory and processing speed. Linear regression was used to test associations between non-employment duration and cognitive function at age 60–64, and conditional change models were used to examine associations between non-employment and cognitive decline from age 60–64 to 69. …”
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Random Cross-Validation Produces Biased Assessment of Machine Learning Performance in Regional Landslide Susceptibility Prediction by Chandan Kumar, Gabriel Walton, Paul Santi, Carlos Luza

“…This experiment was conducted on regional landslide susceptibility prediction using different ML models: logistic regression (LR), k-nearest neighbor (KNN), linear discriminant analysis (LDA), artificial neural networks (ANN), support vector machine (SVM), random forest (RF), and C5.0. …”
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YOLO-SW: A Real-Time Weed Detection Model for Soybean Fields Using Swin Transformer and RT-DETR by Yizhou Shuai, Jingsha Shi, Yi Li, Shaohao Zhou, Lihua Zhang, Jiong Mu

“…The research stands out for its novel integration of three key advancements: the Swin Transformer backbone, which leverages local window self-attention to achieve linear O(N) computational complexity for efficient global context capture; the CARAFE dynamic upsampling operator, which enhances small target localization through context-aware kernel generation; and the RTDETR encoder, which enables end-to-end detection via IoU-aware query selection, eliminating the need for complex post-processing. …”
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The path-label reconciliation (PLR) dissimilarity measure for gene trees by Alitzel López Sánchez, José Antonio Ramírez-Rafael, Alejandro Flores-Lamas, Maribel Hernández-Rosales, Manuel Lafond

“…Our contributions We show that PLR can be computed in linear time and that it is a semi-metric. We also discuss the diameters of reconciled gene tree measures, which are important in practice for normalization, and provide initial bounds on PLR, LRF, and ELRF. …”
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Prevalence and risk factors of osteoporosis in lupus nephritis patients in China: a cross-sectional study by Yu Hong, Yi Yang, Ying Yao

“…The spearman rank correlation of BMD with clinical characteristics indicated that age at menopause, weight, height, and body mass index were positively correlated with BMD, while age, age at diagnosis of LN, and menopause duration were negatively correlated with BMD in lumbar spine, total hip, and/or femoral neck. Multivariable linear regression analysis demonstrated that body mass index was positively associated with BMD, whereas disease duration and menopause duration were negatively associated with BMD in all and postmenopausal patients. …”
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Preoperative Estimation of Deep Inferior Epigastric Perforator Flap Weight Using Synapse Vincent 3-dimensional Analysis: A Feasibility Study by Nozomu Akamine, MD, Hajime Matsumine, MD, PhD, Hiroyuki Sakurai, MD, PhD

“…The predicted and actual intraoperative flap weights were compared using Pearson correlation and linear regression analyses. The mean predicted flap weight was 732 ± 306 g, and the mean actual flap weight was 754 ± 310 g. …”
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Forecasting pre-harvest rice (Oryza sativa) yield: A regression analysis of meteorological factors and climate change impacts on food security by ASHUTOSH KUMAR VISHWAKARMA, NAGALAXMI M RAMAN, AJAY KUMAR, CHETNA, VINAY KUMAR, ARADHNA SAGWAL, SUMAN GHALAWAT, KAPIL ROHILLA, SUSHMA, RAVI PRAKASH XALXO, SHRISHTI SAXENA

“…It was discovered that the best models (models 1, 2, and 7, 8) for assessing the impact of specific weather variables were linear functions across weekly data, meteorological factors, and adjusted crop production for the trend impact are the independent variables. …”
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Changes of Serum Zinc-α2-Glycoprotein Level and Analysis of Its Related Factors in Gestational Diabetes Mellitus by Dongmei Xu, Jie You, Guixia Chen, Hongli Su, Li Zhang, Lingling Cui, Zhonglei Li, Guoling Huang, Caiying Feng

“…The Pearson correlation (or Spearman correlation) analysis showed that serum ZAG level was negatively correlated with FPG, FINS, HOMA-IR, and TG (all P<0.05) and positively correlated with HDL (P<0.05). Multiple linear regression showed that HDL and HOMA-IR were independent factors of serum ZAG (P<0.05). …”
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Simultaneous determination of 13 non-phthalate plasticizers in strong-flavor Baijiu by gas chromatography-mass spectrometry by RAN Yifan, HE Cheng, WANG Ming, AO Zonghua, LIAO Yuan, YANG Qin, DONG Liang, LI Chenyang, LIU Yalan

“…The results showed that the 13 non-phthalate plasticizers had a good linear relationship in the range of 0.02-1.0 mg/L, the correlation coefficient (R²)≥0.996 2, the limit of detection (LOD) were 0.002-0.05 mg/kg, and the limit of quantification (LOQ) were 0.006-0.15 mg/kg; The average standard recovery rates were 55.9%-113.8%, and the relative standard deviation (RSD) of precision tests results were 1.0%-8.8%. …”
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EXPLORING THE INFLUENCE OF LIFE INSURANCE DEMAND IN ADDIS ABABA, ETHIOPIA by Месфін Яйна Ганта, Кунджал Сінха

“…Descriptive statistics, such as frequency and percentage distributions, were used to summarize the data, while multiple linear regression analysis identified key determinants of life insurance demand. …”
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Do picture-based charts overestimate visual acuity? Comparison of Kay Pictures, Lea Symbols, HOTV and Keeler logMAR charts with Sloan letters in adults and children. by Nicola S Anstice, Robert J Jacobs, Samantha K Simkin, Melissa Thomson, Benjamin Thompson, Andrew V Collins

“…<h4>Methods</h4>VA was determined for right eyes of 25 adults and 17 children (4-9 years of age) using Crowded Kay Pictures, Crowded linear Lea Symbols, Crowded Keeler logMAR, Crowded HOTV and Early Treatment of Diabetic Retinopathy Study (ETDRS) charts in focused and defocused (+1.00 DS optical blur) conditions. …”
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DEVELOPMENT OF A NEW GENERATION OF TORNUM REX MINING GRAIN DRYERS AND THEIR DESIGN METHODS by V. Fitsyk

“…To reduce pressure loss and increase the uniformity of the flow entering the subchamber of the linear gas burner, a new design of the air mixing section and guide vanes in different designs of hot air chambers is proposed. …”
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Association between handgrip strength and metabolic syndrome in relation to gender and adiposity among middle aged and older Saudi populations by Shaea A. Alkahtani, Ghedeir M. Alshammari, Aishah Alzuwaydi, Abdulaziz Alfuhaid, Abeer A. Al-Masri, Rizwan Qaisar, Syed Shahid Habib

“…Multinomial regression revealed significant associations between age and adiposity and MetS in men and HGS in women. Additionally, the linear regression of age, HGS, and weight exhibited significant associations between HGS with WC in both sexes.Conclusion A higher risk of MetS in the lower quartiles of HGS was found in women, and adiposity moderated the relationship between HGS and MetS in men.…”
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