Factors affecting the migration intention in medical students in Shiraz; south of Iran: a cross sectional study by Fatemeh Parvizi, Alireza Salehi, Atefeh Seghatoleslam, Mohammad Kia, Mohammadmehdi Pope

“…Data analysis included bivariate and multivariate methods, with linear regression applied to identify significant predictors. …”
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Testing the efficiency of the wine market using unit root tests with sharp and smooth breaks by Elie Bouri, Tsangyao Chang, Rangan Gupta

“…We find evidence of structural shifts and nonlinearity in the wine indices. …”
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Chalcolithic stamp seals from Tepe Gheshlagh, and a look into their application in ownership and exchange systems by Mahnaz Sharifi, Abbas Motarjem

“…With a descriptive-analytical method, an attempt was made to expound on Gheshlagh’s glyptic assemblage that attest to the existence of an ownership system and commercial exchanges. A structural analysis of the glyptic iconography suggested that each of the linear, circular, or repeating patterns were less mere personal insignias intended to exclude the possibility of alteration or forgery than they were marks belonging to a pre-literate system where each sign/symbol stood for individual commodity types that were transported or exchanged as such. …”
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THE HOMOGENIZED VEGETABLE PASTES AND MARINADES WITH BERRY COMPONENTA by Galina Valentinovna Ivanova, Olga Yakovlevna Kolman

“…The obtained experimental data are processed by means of the software package of STATISTICA 6.0. Linear multidimensional models of interrelations ofthe components which are a part ofthe developed compositions with a structural and mechanical indicator (limit tension of shit) and acidity are constructed. …”
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High-Performance Cu_1.8Se Nanosheets for Dual-Sensing: H₂O₂ Electrochemical Detection and SERS Substrate by Ying-Chu Chen, Michael Chen, Yu-Kuei Hsu

“…The flower-like structure of the Cu_1.8Se NSs exhibited linear dependence between analyte concentration and detection signals, along with satisfactory reproducibility in dual-sensing applications. …”
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Predicting the permeability and compressive strength of pervious concrete using a stacking ensemble machine learning approach by Fan Yu, Wei Chu, Rui Zhang, Zhang Gao, Yunan Yang

“…Firstly, six independent models, the multiple linear regression and the Stacking algorithm were applied to construct the ensemble model. …”
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The high temperature conductivity of magnetite ore as the possible basis for predicting the mineral composition and the genetic peculiarities of the deposits by V. V. Bakhterev

“…The rock samples from different structural-material complexes of some ultramafic massifs of the Urals have been investigated. …”
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Low‐rank isomap algorithm by Eysan Mehrbani, Mohammad Hossein Kahaei

“…This approach leads to reducing the complexity of Isomap to a linear order while preserving the structural information during the dimensionality reduction process as long as the number of observations remains extensively larger than the dimensionality of the ambient space. …”
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Numerical Analysis of Free Play-Induced Aeroelastic Phenomena: A Numerical Approach With Adaptive Step Size Control by Yu Qijing, Zhang Yafen, Wang Yidan

“…The research incorporates free-play nonlinearity at the plunge hinge, a common structural nonlinearity in aeronautics that can induce detrimental limit cycle oscillations (LCOs) during flight. …”
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Mechanical and falling weight impact properties of unidirectional phormium fibre/epoxy laminates

“…The effect of the two extraction methods on fibre characteristics is compared by the tensile properties of the fibres and the flexural properties, fracture modes and hysteresis cycles parameters (impact energy partition, linear stiffness and normalised penetration energy) of final laminates. …”
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Mapping Cybersecurity in SMEs: The Role of Ownership and Firm Characteristics in the Silesian Region of Poland by Leoš Šafár, Marek Pekarčik, Patryk Morawiec, Paulina Rutecka, Monika Wieczorek-Kosmala

“…Unlike the majority of cybersecurity literature, our focus is on how ownership structure influences cybersecurity perception. We surveyed 200 SMEs at random within the respective region and utilized hierarchical and simple linear regression analyses to assess the relationships between these factors and financial performance. …”
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Cytoflavin® Effect on Endothelium Function and Cerebral Hemodynamics in Patients with Hypertensive Enceplalopathy by L. A. Belova, V. V. Mashin, O. Yu. Kolotik-Kameneva, A. N. Proshin

“…In the course of the therapy with Cytoflavin® restoration of the arterial endothelial function in the patients with HE I stage, the linear and volume speed of bloodstream in the main and intracranial cerebral arteries in the patients with HE I-II stages, restoration of the intracranial veins reactivity, the linear speed of bloodstream in intracranial veins in the patients with all three stages of HE, the linear speed of bloodstream in the main veins up to the control values in the patients with I-III stages of HE were observed. …”
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Quantitative and intelligent methods for economic forecasts (birth rate time series (Ntl)) by Katerina ZELA

“…This is the main reason that many researchers have in the focus of their research the development of methods for improving the performance of forecasts. Using only a linear or non-linear method is not enough to recognize and model all features and functions of the data. …”
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Risk Assessment of EPB Shield Construction Based on the Nonlinear FAHP Method by Xueyan Wang, Hang Gong, Qiyu Song, Xiao Yan, Zheng Luo

“…The traditional fuzzy analytic hierarchy process (FAHP) method usually uses a linear analysis method to determine the risk level, but there are often some risk factors with prominent influence, which will reduce the accuracy of the evaluation results. …”
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Analysis of Using Multi-Angle Conventional Ultrasound Scanning for Efficient 3-D Object Imaging by Maciej SABINIOK, Krzysztof J. OPIELIŃSKI, Sylwia LIS

“…In the paper, the volume of an object is reconstructed from vertical projections registered at fixed angular positions of the multi-element linear ultrasonic probe rotated in relation to the object submerged in water. …”
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Multipolar Anisotropy in Anomalous Hall Effect from Spin-Group Symmetry Breaking by Zheng Liu, Mengjie Wei, Wenzhi Peng, Dazhi Hou, Yang Gao, Qian Niu

“…The traditional view of the anomalous Hall effect (AHE) in ferromagnets is that it arises from the magnetization perpendicular to the measurement plane and that there is a linear dependence on the latter. Underlying such a view is the thinking that the AHE is a time-reversal symmetry breaking phenomenon and can therefore be treated in terms of a power series in the magnetic order. …”
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Experimental and machine learning-driven assessment of IS 2062 steel under double-base propellant combustion conditions by Hari Singh, Dola Sundeep, C. Chandrasekhara Sastry, Eswaramoorthy K Varadharaj

“…Conversely, Test-07 exceeded 355–372 ksc with burn rates surpassing 41 mm/s, exhibiting erosive burning and accelerated steel erosion.Material characterization techniques, including X-ray Diffraction (XRD), Fourier Transform Infrared Spectroscopy (FTIR), Raman Spectroscopy, Field Emission Scanning Electron Microscopy (FESEM), and Energy Dispersive Spectroscopy (EDS), revealed significant oxidation, scale formation, and localized surface degradation, in high-temperature regions around 2500 Kelvinat the nozzle throat inducing structural changes. To enhance predictive accuracy, machine learning models Linear Regression, Random Forest Regression, Support Vector Machines (SVM), K-Means Clustering, and Artificial Neural Networks (ANN) were employed to analyze combustion-induced degradation trends, confirming Test-06 as the optimal balance of stability and high performance. …”
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Uncovering the role of directed connectivity in alpha and theta band activity for sustaining perception-action links by Elena Eggert, Astrid Prochnow, Nasibeh Talebi, Christian Frings, Alexander Münchau, Christian Beste

“…The current study sets out to examine the roles of theta, alpha and beta frequency band activity in perception-action binding processes, as well as the corresponding directed connectivity patterns between the associated neuroanatomical structures. To this end, electroencephalography (EEG) data are collected from N = 43 healthy participants performing a classic prime-probe experimental paradigm which are subsequently subjected to EEG-beamforming methods as well as Non-linear Causal Relationship Estimation by Artificial Neural Network in order to identify linear and non-linear connectivity patterns. …”
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Soft Computing Solutions for Reducing the Carbon Footprint of Fly Ash Based Concrete. Advances in Civil Engineering by Awoyera, Paul O., Adetola, Joshua, Nayeemuddin, Mohammed, Mewada, Hiren, George Fadugba, Olaolu

“…The construction industry significantly contributes to environmental degradation,with many structures exhibiting high carbon footprints throughout their construction processes and lifespans.Activities such as cement hydration and other commoncon-struction practices substantially influence environmental conditions overtime,necessitating a critical evaluation of material and design choices.This study reported the environmental impact of fly ash(FA),which is largely used to enhance concrete strength.A prediction of two end point indicators,that is,global warming potential(GWP)and CO2 emission using soft computing methods are presented,which are particularly effective for handling complex,non linear relationships in environmental data.To achieve this, two machine learning approaches,the random forest(RF)and decision tree(DT)models,are employed to assess the environ- mental impact of structural materials and designs.Two data sets were obtained from reputable databases,including ResearchGate, Science Direct, Semantic Scholar,and Mendeley Data.The models are trained to explore the potential for optimizing structural designs and material selection stominimize environmental impacts.Feature importance is analyzed using Shapley values,providing insights into the most influential factors affecting GWP and CO2 emission Model performance is evaluated using R2 and root mean square error(RMSE) metrics. …”
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Generative design and multi-objective optimization for enhanced building thermal performance by Omar Ain, Husam B. Khalil, Maryam El-Maraghy, Mohamed Marzouk

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