Efficient Feature Selection and Hyperparameter Tuning for Improved Speech Signal-Based Parkinson’s Disease Diagnosis via Machine Learning Techniques by Deepak Painuli, Suyash Bhardwaj, Utku Kose

“…Machine learning (ML) techniques have shown promise in addressing these diagnostic challenges due to their higher efficiency and reduced error rates in analyzing complex, high-dimensional datasets, particularly those derived from speech signals. …”
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Exploring the radiation shielding efficiency of low-impact Portland cement pastes made with barium sulfate, silica fume and fly ash by Maikon Moreira Pires, Everton Souza, Chiara das Dores do Nascimento, Larissa Sobreira, Isadora Zucchi Maia, Henrique Trombini, Romulo Rocha Santos, Francisco Roger Carneiro Ribeiro, Mauricio Mancio, Claudio de Souza Kazmierczak, Marlova Piva Kulakowski

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A Stability-Indicating HPLC-DAD Method for Determination of Ferulic Acid into Microparticles: Development, Validation, Forced Degradation, and Encapsulation Efficiency by Jessica Mendes Nadal, Maria da Graça Toledo, Yasmine Mendes Pupo, Josiane Padilha de Paula, Paulo Vitor Farago, Sandra Maria Warumby Zanin

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The results of the development of a personalized method of mandibular foramen searching in the aspect of mproving the efficiency and safety of inferior alveolar nerve block

“…The absence of significant difference proves the clinical efficiency of the proposed model of finding the injection area mark points.…”
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Impact of concentration of Bi2O3 on gamma ray shielding efficiency of BaTiO3 composite ceramics by Rama Kumar Nodagala, Tejeswara Rao Ponnada, Balaji Rao Ravuri

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Assessment of Doppler Wind Lidar Detection Efficiency and Influencing Factors at Plateau Airport: A Case Study of Lhasa Gonggar Airport by Junjie Wu, Hongyu Du, Chunjiong Xia, Xiaoyuan Huang

“…When relative humidity exceeded 80%, both modes showed a linear decrease in detection efficiency.…”
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Piceatannol reduces radiation-induced DNA double-strand breaks by suppressing superoxide production and enhancing ATM-dependent repair efficiency by Tomoya Suzuki, Ryoya Tetsuka, Atsuya Iwasaki, Tsutomu Shimura, Ryoichi Hirayama, Asako J Nakamura

“…In contemporary society, humans are susceptible to various radiation-borne hazards, including exposure to therapeutic modalities using low-linear energy transfer (low-LET) radiations (X-rays and γ-rays), natural high-LET radiation sourced from cosmic rays, as well as nuclear accidents such as the Fukushima Daiichi Nuclear Power Plant incident. …”
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Nitrogen-rich covalent organic polymers for efficient solid phase extraction of nonsteroidal anti-inflammatory drugs from water samples by Yuqi Cheng, Jia Li, Xiaochen Xiu, Xinghua Teng, Wen Zhang, Lei Ji, Leilei Wang

“…In order to monitor trace levels of NSAIDs from complex water samples, development of facile and efficient sample pretreatment is of great significance. …”
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Unlocking efficiency in real-world collaborative studies: a multi-site international study with one-shot lossless GLMM algorithm by Jiayi Tong, Jenna M. Reps, Chongliang Luo, Yiwen Lu, Lu Li, Juan Manuel Ramirez-Anguita, Milou T. Brand, Scott L. DuVall, Thomas Falconer, Alex Mayer Fuentes, Xing He, Michael E. Matheny, Miguel A. Mayer, Bhavnisha K. Patel, Katherine R. Simon, Marc A. Suchard, Guojun Tang, Benjamin Viernes, Ross D. Williams, Mui van Zandt, Fei Wang, Jiang Bian, Jiayu Zhou, David A. Asch, Yong Chen

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Preliminary study on the explosive performance of coal dust and prospects for engineering applications by Jing Guo, Shirong Ge

“…Abstract This study aims to evaluate the efficiency and energy release characteristics of different types of coal in pulse detonation engines (PDE) to advance the development of deep coal fluidization detonation technology, achieving more efficient and cleaner coal utilization. …”
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A Parametric Six-Step Method for Second-Order IVPs with Oscillating Solutions by Dimitris F. Papadopoulos

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Joint User-Centric Clustering and Pilot Allocation for Scalable Cell-Free Massive MIMO System by Irma Zakia, Muhammad Brata

“…The result showed that with 10 available orthogonal pilots, the scalable pilot allocation method achieves more than twice the 95%-likely spectral efficiency compared to the graph-coloring method. Furthermore, when the number of APs equals UEs, the complexity of the scalable method is linear in the number of UEs, as opposed to the polynomial complexity of the graph-coloring method.…”
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Prediction of performance and emission features of diesel engine using alumina nanoparticles with neem oil biodiesel based on advanced ML algorithms by M. S. Aswathanrayan, N. Santhosh, Srikanth Holalu Venkataramana, Kurugundla Sunil Kumar, Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Sameer Algburi, Osamah J. Al-sareji, A. Bhowmik

“…With a little variance of 3.33%, the brake thermal efficiency was maximized at 38.18%, quite near to the validation result of 37.89%. …”
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Abstract Convergence Analysis for a New Nonlinear Ninth-Order Iterative Scheme by Ioannis K. Argyros, Sania Qureshi, Amanullah Soomro, Muath Awadalla, Ausif Padder, Michael I. Argyros

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Proportional Topology Optimization algorithm with virtual elements for multi-material problems considering mass and cost constraints by Minh Tuan Tran, Minh Ngoc Nguyen

“…The linear VEM is desirable in the sense that numerical integration is not explicitly required, significantly reducing the computational effort. …”
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Implementing partial least squares and machine learning regressive models for prediction of drug release in targeted drug delivery application by Anupam Yadav, B. Jayaprakash, Laith Hussein Jasim, Mayank Kundlas, Maan Younis Anad, Ankur Srivastava, M. Janaki Ramudu, B. Bharathi, Prabhat Kumar Sahu

“…Partial least squares (PLS) was applied for dimensionality reduction, and models such as AdaBoost with linear regression, multilayer perceptron (MLP), and Theil-Sen regression were utilized, achieving the highest predictive performance with the AdaBoost-MLP model (R2 = 0.994, MSE = 0.000368). …”
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Machine Learning Impact on Modern Business Intelligence by Raziyeh Moghaddas, Farinaz Tanhaei, Maryam Al Moqbali, Solmaz Safari

“…Several ML models, including Linear Regression, Ridge Regression, Gradient Boosting, Random Forest, and Support Vector Regression, were applied and examined on the created dataset to estimate the house prices. …”
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Identification of Distribution Network Topology and Line Parameter Based on Smart Meter Measurements by Chong Wang, Zheng Lou, Ming Li, Chaoyang Zhu, Dongsheng Jing

“…In order to improve the solving accuracy and efficiency of the identification model, a two-stage identification method is proposed. …”
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Quantitative and Qualitative Analysis of Main Parameters and Their Interactions in Thermoacoustic Refrigerators Performance by Humberto Peredo Fuentes, Carlos Amir Escalante Velázquez

“…This study primarily focused on optimizing the coefficient of performance (COP) by combining linear thermoacoustic theory (LTT) with the design of experiments (DOE) approach. …”
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Any Way the Wind Blows Does Really Matter in Lichen Response to Air Pollution from an Oil Refinery by Maja Maslać Mikulec, Saša Likić, Oleg Antonić, Mirta Tkalec

“…Our analysis employed generalized linear models (GLMs) to incorporate various environmental predictors, including distance from the refinery, direction-specific wind speed and frequency, vegetation density, and the orientation of lichen samples with respect to north and the refinery. …”
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