Premature Mortality from Colorectal Cancer by Ronaldo Valdés Villafranca, Suleidy Pérez García, Ángel Ernesto Ramos Cordero, Suniel Pérez García, Rubén Valdés Villafranca, Elvis Hernández

“…<br /><strong>Results:</strong> the age group 65-69 years (34 %) and the female sex (64 %) were the predominant ones. The mortality linear trend was downward, with the year 2018 being the predominant with 35 cases. …”
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A pena de Tântalo: uma política de educação profissional para trabalhadores “sedentos” por trabalho by Áurea de Carvalho Costa

“…Na conjuntura atual, de crise do capital, que ocasiona grande restrição de postos de trabalho, a presente reflexão vem contribuir para a necessária luta contra as mistificações acerca de que existiria uma relação linear entre formação e conquista do emprego. …”
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Decoding metabolic connections: the role of salivary amylase activity in modulating visceral fat and triglyceride glucose index by Gita Erta, Gita Gersone, Antra Jurka, Peteris Tretjakovs

“…Methods This cross-sectional study analysed data from women of reproductive age who were classified as overweight. Linear regression models were used to assess associations between salivary amylase activity (SAA), visceral fat (VF) and the triglyceride-glucose (TyG) index, while adjusting for confounding variables such as age, body mass index (BMI), physical activity and dietary patterns. …”
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Systematic Biases in Estimating the Properties of Black Holes Due to Inaccurate Gravitational-Wave Models by Arnab Dhani, Sebastian H. Völkel, Alessandra Buonanno, Hector Estelles, Jonathan Gair, Harald P. Pfeiffer, Lorenzo Pompili, Alexandre Toubiana

“…Inference of BBH parameters relies on waveform models, and realizing the full discovery potential of upcoming LIGO-Virgo-KAGRA observing runs and new ground-based facilities (such as the Einstein Telescope and Cosmic Explorer) hinges on the accuracy of these waveform models. Using linear-signal approximation methods and Bayesian analysis, we start to assess our readiness for what lies ahead using two state-of-the-art quasicircular, spin-precessing models: seobnrv5phm and imrphenomxphm. …”
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Extreme drought and sexual violence against adolescent girls and young women: A multi-country population-based study. by Lucas Hertzog, Marshall Makate, David Chipanta, Boladé Banougnin, Martina Mchenga, Gavin Pereira, Sylvester Dodzi Nyadanu, Jennifer Dunne, Paula S Tallman, Shalean Collins, Kefyalew Addis Alene, Pauline Rousseau-Gueutin, Astghik Mavisakalyan, Ivan C Hanigan

“…Bayesian Generalized Linear Models were employed to estimate the association between drought exposure and reported experiences of sexual violence, controlling for age, relationship status, school attendance, and wealth. …”
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Association Between Serum Methylmalonic Acid (A Marker of Mitochondrial Dysfunction) and Serum Neurofilament Light Chains in a U.S. Population: a Cross‐Sectional Analysis From NHAN... by Jun Wei, Yang Liu, Ya Li

“…Methods Data were obtained from the 2013–2014 National Health and Nutrition Examination Survey (NHANES). Multiple linear regression modeling was employed to confirm the association between MMA and sNfL, while smooth curve fitting was utilized to explore the potential nonlinear relationship. …”
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Robust operation of renewable virtual power plant in intelligent distribution system considering active and reactive ancillary services markets by Mohabbat Vafa, Mohammad Hossain Ershadi, Behdad Arandian

“…A nonlinear formulation and a linear approximation model are used in this scheme to achieve the optimal solution. …”
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Prediction of risk for acute kidney injury and its progression to mortality in obese patients admitted to ICU postoperatively by LI Qiang, LI Qiang, MU Guo, MU Guo, WANG Wenzhang

“…After data cleaning and preprocessing, Boruta feature selection was applied, followed by the construction of prediction models using 7 machine learning algorithms, that is, Gradient Boosting Machine (GBM), Generalized Linear Model (GLM), k-Nearest Neighbors (KNN), Naïve Bayes (NB), Neural Network (NNET), Support Vector Machine (SVM), and XGBoost. …”
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Interaction between gender and age on the methylation levels of KLF14 promoter by Chiung-Hung Chiang, Yen-Chung Chen, Oswald Ndi Nfor, Wen-Yu Lu, Yung-Po Liaw

“…Participants were divided into four age groups (30–40, 40–50, 50–60, and 60–70 years). Multiple linear regression analyses were performed to assess the impact of age and sex on KLF14 promoter methylation and to evaluate the interaction between these variables. …”
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Unveiling breastfeeding knowledge among Muslim women in Qatar: an exploratory study by Nabila Chaabna, Ziyad R. Mahfoud, Nicole Letourneau, Daniel Forgrave, Deborah White

“…Predictors of breastfeeding knowledge were identified using linear regression. Results Although participants demonstrated accurate breastfeeding knowledge, notable gaps remain, particularly in understanding the protective effects of breastfeeding against conditions such as diabetes (48.1%) and ovarian cancers (52.7%), as well as guidelines on breastfeeding initiation (25.0%) and exclusivity (29.7%). …”
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Speech Recognition using Wavelets and Improved SVM by Emad Ahmed Hussien, Mohannad Abid Shehab Ahmed, Haithem Abd Al-Raheem Taha

“…The proposed SVM approach can convert local Euclidean distances between frame vectors to angles by projecting these -dimensional vectors together, and get the minimum global distance from the non-linear aligned speech path in order to address audio classification, and hence, sound recognition.The DWT for each frame of the spoken word are taken as a tool for extracting the main feature as a data code vectors, next these data is normalized utilizing the normalized power algorithm that is used to reduce the number of feature vector coefficients then these data is scaled and tested with those stored of the training spoken words to achieve the speaker identification tasks, also the DWT gives fixed amount of data that can be utilized modesty by SVM.Finally, the proposed method is tested and trained upon a very large data base with results limited to ten speakers only (5 males and 5 females) with words of maximally 17 phenomena and its performance gives an accurate and stable results which rises the algorithm efficiency and reduce the execution time with 97% overall  accuracy. …”
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Characteristics and economic burden of hospitalized patients with herpes zoster in China, before vaccination by Peng Chen, Zheng Chen, Yi Xiao, Xiang Chen, Ji Li, Yan Tang, Minxue Shen

“…Spatial join tools and Global or Local Moran’s Index were used for the geographic analysis of hospitalized HZ incidence. Multivariate linear regression models were used to analyze the factors influencing LOS and costs. …”
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Circular Radon Transform Inversion Technique in Synthetic Aperture Ultrasound Imaging: an Ultrasound Phantom Evaluation by Jurij TASINKEVYCH, Ihor TROTS

“…Experimentally determined data of ultrasound phantom obtained using a 32-element 5 MHz linear transducer array with 0.48 mm element pitch and 0.36 mm element width and 5 mm height, excited by a 2 sine cycles burst pulse are used for comparison of images reconstructed by the RMA, DA, and conventional synthetic aperture focusing technique (SAFT). …”
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EVASÃO E QUALIDADE EM INSTITUIÇÕES DE ENSINO SUPERIOR PRIVADAS: UMA ANÁLISE DA ECONOMIA DOS CUSTOS DE TRANSAÇÃO by Adriano Maniçoba da Silva, Antonio Carlos Aidar Sauaia

“…Os resultados suportaram a existência de uma relação linear negativa entre qualidade ofertada e evasão. …”
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Predicting lncRNA and disease associations with graph autoencoder and noise robust gradient boosting by Lili Tang, Liangliang Huang, Yi Yuan

“…LDA-GARB first combines nonnegative matrix factorization to extract linear features of lncRNAs and diseases. Next, it computes lncRNA similarity and disease similarity and adopts a graph autoencoder to extract nonlinear features of lncRNAs and diseases. …”
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Impact Testing of Aging Li-Ion Batteries from Light Electric Vehicles (LEVs) by Miguel Antonio Cardoso-Palomares, Juan Carlos Paredes-Rojas, Juan Alejandro Flores-Campos, Armando Oropeza-Osornio, Christopher René Torres-SanMiguel

“…The mechanical impact tests were conducted in adherence to the UL 2271:2018 standard, employing a semi-sinusoidal acceleration pulse. During these tests, linear kinematics were analyzed using videogrammetry, while key electrical and thermal parameters were monitored. …”
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Pengembangan Perangkat PJBL Berbantuan E-Modul Untuk Meningkatkan Kemampuan Pemecahan Masalah Siswa by Mia Wulansari, Ida Dwijayanti, Aurora Nur Aini

“…Hasil penelitian ini menunjukkan bahwa (1) perangkat PJBL berbantuan e-modul lubuk etnomatematika layak berdasarkan validasi ahli strategi materi dengan presentase kelayakan 80% dan validasi ahli teknologi dengan presentase kelayakan 92%. (2) perangkat PJBL berbantuan e-modul lubuk etnomatematika dinyatakan efektif karena mencakup 3 indikator, rerata kemampuan pemecahan masalah pada kelas perlakuan (eksperimen) lebih bari dari kelas yang tidak diberi perlakukan (kontrol), bahwa terdapat pengaruh positif antara aktivitas siswa dan akibat treatment kemampuan pemecahan masalah dengan uji regresi linear diperoleh persamaan regresi  memiliki pengaruh sebesar 86% dan hasil kemampuan pemecahan masalah kelas eksperimen mencapai ketuntasan dengan presentase 100% dengan nilai rata-rata kelas 86,5. …”
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Physical Activity and Sedentary Behavior in Preterm-Born 7-Year Old Children. by John Lowe, W John Watkins, Sarah J Kotecha, Sailesh Kotecha

“…<h4>Methods</h4>Children in the Millennium Cohort Study underwent assessment of PA at 7 years of age using accelerometry. 6422/12781 (50%) provided valid accelerometry and had gestational age data. A series of general linear models adjusted for confounders investigated the association between gestational age and levels of Total PA (average accelerometer counts per minute over the period of the recording), Moderate-to-Vigorous PA (MVPA) and sedentary behavior. …”
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Barriers and facilitators to scale-up of hospital-at-home: an observational cohort study protocol by Stephanie Q. Ko, Stephanie Q. Ko, Stephanie Q. Ko, Shi Yun Low, Nick Sevdalis

“…Statistical process control graphs will be used to examine variation in the implementation outcomes over time. Linear regression will be applied to assess associations of outcomes with contextual factors that are continuous variables; logistic regression will be applied to assess the associations of outcomes with binary/descriptive contextual factors. …”
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A High Selective and Sensitive Spectrophotometric Cholesterol Detection Using B-Cyclodextrin/Fe3O4 Composite as the Identification Agent by Vanya Dharmawan, Isnaini Rahmawati, Afiten Rahmin Sanjaya, Beti Ernawati Dewi, Endang Saepudin, Tribidasari A. Ivandini

“…The developed sensor showed linear responses (R2&lt;0.99) toward cholesterol concentrations in the range between 0 and 100 M, with a sensitivity of 0.56 x 103 a.u. …”
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