Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic review. by Mohammad Moharrami, Parnia Azimian Zavareh, Erin Watson, Sonica Singhal, Alistair E W Johnson, Ali Hosni, Carlos Quinonez, Michael Glogauer

“…<h4>Background</h4>This systematic review aimed to evaluate the performance of machine learning (ML) models in predicting post-treatment survival and disease progression outcomes, including recurrence and metastasis, in head and neck cancer (HNC) using clinicopathological structured data.<h4>Methods</h4>A systematic search was conducted across the Medline, Scopus, Embase, Web of Science, and Google Scholar databases. …”
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Design of a parallel Helmholtz resonator structure as a hazardous greenhouse gases sensor using the transfer matrix method by Ilyas Antraoui, Ahlem Guesmi, Mohamed El Malki, Naoufel Ben Hamadi, Wesam Abd El-Fattah, Ali Khettabi, Zaky A. Zaky

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A colorimetric detection of creatine kinase for monitoring of physiological conditions in sports injury rehabilitation based on metal nanoparticle structures by Ruqiong Wei, Shenyi Lu, Tao Wang, Zhanghui Lin, Jiaying Hu, Jinyuan Guo, Xinze Jiang, Raquel Alarcón Rodríguez, Yunshan Zhang

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Hydraulic Performance Modeling of Inclined Double Cutoff Walls Beneath Hydraulic Structures Using Optimized Ensemble Machine Learning by Mohamed Kamel Elshaarawy, Martina Zeleňáková, Asaad M. Armanuos

“…Abstract This study investigates the effectiveness of inclined double cutoff walls installed beneath hydraulic structures by employing five machine learning models: Random Forest (RF), Adaptive Boosting (AdaBoost), eXtreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), and Categorical Boosting (CatBoost). …”
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Analysis of particle dynamics, event horizon, and thermodynamic properties of black holes in the Ghasemi-Nodehi-Bambi metric by GOLDBERD HARMUDA DUVA SINAGA, RUBEN CORNELIUS SIAGIAN

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Inner composition of analytic mappings on the unit disk by John Gill

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Impact of track irregularities on the motor suspension of high-temperature superconducting maglev trains by ZHENG Jie, HE Peiheng, LI Qiang, DENG Bin, DENG Zigang

“…These irregularities cause vibrations of the carbody and maglev frame, which are transferred to the dynamic components of the linear motor, resulting changes in the air gap. The changed electromagnetic force reacts against the motor suspension system, causing further vibrations of the maglev frame and carbody. …”
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EVALUATION OF THE MODEL PREDICTION TOXICITY (LD50) FOR SERIES OF 42 ORGANOPHOSPHORUS PESTICIDES by HANANE FIKRI, TAOUFIQ FECHTALI, MOHAMED MAMOUMI

“… Structure-Toxicity Relationships have been studied for a set of 42 organophosphorous pesticides (OPs) through multiple linear regression (MLR) and artificial neural networks (ANN). …”
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Analysis of interrelationships between the management of agricultural water consumption optimization constructs based on smart climate agriculture: application of structural analys... by Ali Tavasoti, Mehrdad Niknami, Jamal Farajollah Hosseini, Maryam Omidi Najafabadi

“…To analyze the data, structural equation modeling (SEM) was employed using AMOS20 to investigate the linear relationships between latent and explicit variables. …”
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Research on dimension measurement algorithm for parcel boxes in high-speed sorting system by Ning Dai, Jingchao Chen, Xudong Hu, Yanhong Yuan

“…In this paper, we propose a 3D localization algorithm for rectangular packaging boxes based on deep learning, and design a lightweight parcel box detection model, the Efficient Object detection Network (EODNet). Linear attention mechanism is used in the backbone of the model to achieve efficient feature selection with low-cost computing resources. …”
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Factors influencing the health behaviors of patients with ischemic stroke from a social-ecological perspective: a cross-sectional study by Min-Xiu Wang, Gui-Zhen Weng, Jin-Hua Liao, Xin-Yan Chen, Yan-Juan Lin

“…Moreover, most analyses have employed ordinary linear regression models that treat variables across different levels as equivalent, thereby overlooking the nested structure of influencing factors. …”
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The Choice of Funding Sources for Start-Ups in a Transitional Economy: The Ability to Predict in a National Context  by Olga Obraztsova, Tatiana Poliakova, Ekaterina Popovskaya

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Reconstructing a musician scientific biography using library science methods (a case of A. I. Ziloti) by S. V. Gorobets

“…Ziloti - an outstanding musician of the late ХIХ - early ХХ centuries - based on the library science research methods, in particular, «linear-mine» technique of structuring and presenting personal biographical materials, offered by St. …”
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Sensitivity of momentum-distribution asymmetry on ionization potential and atomic structure for ionization by few-cycle fields with two carrier frequencies by D. Habibović, D. B. Milošević

“…On the other hand, for the driving pulse with linearly polarized components, the dependence of the asymmetry parameter on the ionization potential is significant, while the dependence on the structure of the ground state is relatively small. …”
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Optimizing GNN Architectures Through Nonlinear Activation Functions for Potent Molecular Property Prediction by Areen Rasool, Jamshaid Ul Rahman, Quaid Iqbal

“…To address this gap, this paper introduces a novel activation function called the Sine Linear Unit (SLU), aimed at enhancing the predictive capabilities of GNNs in the context of molecular property prediction. …”
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Transverse Wave Propagation in Functionally Graded Structures Using Finite Elements with Perfectly Matched Layers and Infinite Element Coupling by Kulandhaivel Hemalatha, Anandakrishnan Akshaya, Ali Qabur, Santosh Kumar, Mohammed Tharwan, Ali Alnujaie, Ayman Alneamy

“…This study investigates the propagation of shear horizontal transverse waves in a functionally graded piezoelectric half-space (FGPHS), where the material properties vary linearly and quadratically. The analysis focuses on deriving and understanding the dispersion characteristics of such waves in in-homogeneous media. …”
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Structural, physical, optical, mechanical, and radiation shielding investigation of tantalum pentoxide doped Germanate-Tellurite-Borate based glass system by M.I. Sayyed, M.H.A. Mhareb, M.Kh. Hamad, Abed Jawad Kadhim, Kawa M. Kaky, Yasser Maghrbi

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MoS₂ BAND GAP MODIFICATION UPON REPLACEMENT OF SULFUR ATOMS BY TELLURIUM ONES by A. V. Krivosheeva, V. L. Shaposhnikov, V. E. Borisenko

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Financial Performance and Firm Value Lesson from Mining Sub-sector Companies on the Indonesia Stock Exchange by Yulita Setiawanta, Agus Purwanto, Much Azizum Hakim

“…The data obtained were analyzed using multiple linear regression with PLS SEM statistical tools. …”
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Modelling the Effects of Intelligentization on the Economic Resilience of Rural Households in the Face of Climate Change (Case study: Ferdows, Boshrouyeh & Sarayan Counties) by Aliakbar Anabestani, Nabiollah Taheri, Pegah Moridsadat

“…Also, the results of multivariable linear regression showed step by step that the smart environment variable (0.373) had the most effect, and the smart connection (0.125) had the least effect on the economic resilience of villages in the face of climate change.Conclusion: By upgrading smart technologies, villages will be able to make better use of available resources and increase productivity in economic activities. …”
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