Design of Multifunctional Polarization Waveplates Based on Thermal Phase-Change Metasurfaces by Bo Cheng, Yuxiao Zou, Zihui Ge, Longfeng Lv, Taohua Liang, Kunpeng Zhai, Guofeng Song

“…When the phase-change material is in the amorphous phase, the metasurface serves as a quarter-waveplate (QWP) and can achieve the conversion between linear and circular polarization through a 90° phase delay. …”
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Influence and Potential of Additive Manufactured Reference Geometries for Ultrasonic Testing by Stefan Keuler, Anne Jüngert, Martin Werz, Stefan Weihe

“…This study researches and discusses the impact of different manufacturing-induced effects of additive manufacturing (AM), such as anisotropy on sound propagation and attenuation, on the production of test specimens for ultrasonic testing (UT). It was shown that a linear, alternating hatching pattern led to strong anisotropy in sound velocity and attenuation, with a deviation in sound velocity and gain of over 840 m/s and 9 dB, depending on the measuring direction. …”
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Express determination of ceftriaxone using immobilized copper sulfate (II) by Скородумова, Екатерина Александровна, Karateeva, Evgenia Dmitrievna, Kosyreva, Irina Vladimirovna

“…For colorimetric assessment of ceftriaxone concentration, linear dependencies of the intensities of the color parameters RGBHSVCMYK on the decimal logarithm of the antibiotic concentration have been constructed. …”
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Comparative Study and Real-World Validation of Vertical Load Estimation Techniques for Intelligent Tire Systems by Ti Wu, Xiaolong Zhang, Dong Wang, Weigong Zhang, Deng Pan, Liang Tao

“…High-precision bench tests quantitatively compare the performance of multiple triaxial Integrated Electronics Piezoelectric (IEPE) accelerometers and Polyvinylidene Fluoride (PVDF) sensors, identifying accelerometers as the superior choice due to their better stability and linearity. Vertical load prediction algorithms are developed using Support Vector Machine (SVM) and linear regression, considering variables like contact length, vehicle speed, and tire pressure. …”
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Development and validation of machine learning models for predicting blastocyst yield in IVF cycles by Wen-jie Huo, Fei Peng, Song Quan, Xiao-cong Wang

“…We employed three machine learning models—SVM, LightGBM, and XGBoost—which demonstrated comparable performance and outperformed traditional linear regression models (R 2: 0.673–0.676 vs. 0.587, Mean absolute error: 0.793–0.809 vs. 0.943). …”
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Can Cessation of Caregiving for Parents Relieve Family Caregivers’ Psychological Distress? A Longitudinal Study Using 17-wave Nationwide Survey Data in Japan by Takashi Oshio, Ruru Ping

“…We identified the timings of caregiving onset and cessation and examined the trajectory of psychological distress (PD), defined as a Kessler score ≥5 on the 6-item Kessler scale (range 0–24). Linear mixed models were used to assess the trajectory of PD that evolved after caregiving cessation over the subsequent 3 years. …”
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Disease Detection Algorithm for Tea Health Protection Based on Improved Real-Time Detection Transformer by Zhijie Lin, Zilong Zhu, Lingling Guo, Jingjing Chen, Jiyi Wu

“…The RMT Spatial Prior Block integrates a Manhattan distance-based spatial decay matrix and linear decomposition strategy to improve global and local context modeling, reducing attention complexity. …”
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Attenuated behavioral interpersonal synchrony in autistic adults is not explained by perception of timing by Afton M. Bierlich, Nanja T. Scheel, Jana C. Koehler, Carola Bloch, Irene Sophia Plank, Christine M. Falter-Wagner

“…A perceptual simultaneity task measured the perception of event timing in a nonsocial context. Bayesian linear mixed models were used to evaluate the effects of perceived IPS ratings and simultaneity thresholds on behavioral IPS. …”
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Exploring students' mathematical reasoning in solving HOTs problems based on thinking styles by Marufi Marufi, Muhammad Ilyas, Nur Wahidin Ashari, Tri Bondan Kriswinarso, Salwah Salwah

“…Aims: This study aims to describe students' mathematical reasoning in solving HOTS problems on the topic of systems of three-variable linear equations, focusing on two distinct thinking styles: Abstract Random and Concrete Sequential. …”
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Assessment of quality of life in visceral leishmaniasis patients coinfected with HIV: a comparative study in Bihar, India by Ram Pund, Gopal Vishwas, Major Madhukar, Krishna Pandey, Sameer Dhingra

“…The data were compared using the chi-square test, One-Way ANOVA followed by Tukey's post-hoc Test. Generalised linear regression was performed for analyses of predictors of QOL, as well as the socio-economic status was determined by using the Modified Kuppuswamy socio-economic Scale 2022. …”
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Mental Health Functioning in the Human Rights Field: Findings from an International Internet-Based Survey. by Amy Joscelyne, Sarah Knuckey, Margaret L Satterthwaite, Richard A Bryant, Meng Li, Meng Qian, Adam D Brown

“…These findings revealed that among human rights advocates that completed the survey, 19.4% met criteria for PTSD, 18.8% met criteria for subthreshold PTSD, and 14.7% met criteria for depression. Multiple linear regressions revealed that after controlling for symptoms of depression, PTSD symptom severity was predicted by human rights-related trauma exposure, perfectionism and negative self-appraisals about human rights work. …”
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Research on Adaptive Planning of Three-Dimensional Trajectory for Uncrewed Aerial Vehicle Inspection Based on Nonlinear Weibull Algorithm by Zhuang Liu, Ning Yang, Jiaxing Fu, Huanqing Cai, Xuebei Wei

“…To address these shortcomings, this study proposes a Non-linear Weibull Flight Reptile Search Algorithm (NWFRSA) for adaptive path planning of inspection UAVs. …”
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A New Nearest Neighbors Data Association Approach Based on Fuzzy Density Clustering by mousa Nazari, Mohammad. M AlyanNezhadi, Seyed Mohammad Reza Hashemi, Seyed Masoud Mirrezaei

“…The proposed method is examined under two scenarios: linear crossing and maneuvering targets. The results show that the proposed technique performs better than FNN, JPDAF, MEF-JPDAF, and Fuzzy-GA methods based on the RMSE criterion .…”
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Air pressure forecasting for the Mutriku oscillating‐water‐column wave power plant: Review and case study by Jorge Marques Silva, Susana M. Vieira, Duarte Valério, João C. C. Henriques, Paul D. Sclavounos

“…A Least Squares Support Vector Machine (LS‐SVM) algorithm was developed to predict the air chamber pressure and compare it to the real signal. Regressive linear algorithms were executed for reference. The experimental data was obtained at the Mutriku wave power plant in the Basque Country, Spain. …”
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Study of the effect of zinc oxide on the antifungal action of the polymer blend (unsaturated polyester and natural rubber) for industrial applications by R. A. Nassif, A. M. Haleem, R. H. Hilal, A. A. Nsaif

“…The diffusion coefficient of the composite material with a concentration of 2 % had the highest value, after which the values began to fall, while the increase was linear at less than this concentration. The X-ray diagram revealed that the composite material with a concentration of 1 % had the lowest values of 2?…”
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Contrastive cross-domain sequential recommendation with attention-aware mechanism by Wei Zhao, Bo Li, Xian Mo

“…However, this approach inadequately accounts for the linear relationship between the target domain and user preferences, thereby limiting the potential benefits of leveraging target domain knowledge to enhance performance in rich domains. …”
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Domain-specific physical activity and sedentary behavior in relation to chronic kidney disease: a cross-sectional analysis of 24,950 U.S. adults in NHANES 1999–2012 by Nanhui Zhang, Jia Shi

“…Multivariable logistic regression and restricted cubic splines were used to evaluate dose-response and non-linear associations. We found that meeting PA guidelines for total, leisure-time, and occupational PA was independently associated with lower odds of CKD (OR [95% CI]: 0.82 [0.73–0.93], 0.86 [0.76–0.97], and 0.85 [0.76–0.96], respectively). …”
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Nasal Aβ42 mirrors brain amyloid dynamics and cognitive decline across the Alzheimer’s disease continuum by Da Hae Jung, Gowoon Son, Sheng Min Wang, Seung-Jun Yoo, Ali Jahanshahi, Hyun Kook Lim, Cheil Moon

“…Conversely, the highest Aβ42 levels showed weaker correlations, suggesting a non-linear progression. The pattern of nasal Aβ42 mirrored brain amyloid accumulation, which peaks and stabilizes in later disease stages. …”
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Machine Learning-Driven Prediction of Offshore Vessel Detention: The Role of Neural Networks in Port State Control by Zlatko Boko, Tatjana Stanivuk, Nenad Radanović, Ivica Skoko

“…NN models significantly help in recognising non-linear patterns and provide high accuracy in risk prediction. …”
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Effectiveness of machine learning models in diagnosis of heart disease: a comparative study by Waleed Alsabhan, Abdullah Alfadhly

“…Our study employs a wide range of ML algorithms, such as Logistic Regression (LR), Naive Bayes (NB), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), K-Nearest Neibors (KNN), AdaBoost (AB), Gradient Boosting Machine (GBM), Light Gradient Boosting Machine (LGBM), CatBoost (CB), Linear Discriminant Analysis (LDA), and Artificial Neural Network (ANN) to assess the predictive performance of these algorithms in the context of heart disease detection. …”
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