Polarization-Independent Broadband Infrared Selective Absorber Based on Multilayer Thin Film by Shenglan Wu, Hao Huang, Xin Wang, Chunhui Tian, Zhenyong Huang, Zhiyong Zhong, Shuang Liu

“…By analyzing the Poynting vector and loss distribution, the synergistic mechanism of the ultra-thin metal localized enhancement effect, impedance matching, and intrinsic absorption of the material is revealed. …”
Get full text

Application and optimization of BP prediction model driven by internet of things in tourism education by Qi Lv

“…Regarding prediction time, the optimized model processes 1,000 data entries in just 0.05 s, which is considerably faster than SVM (0.12 s) and RF (0.08 s). …”
Get full text

Methodology For Extracting Poplar Planted Fields From Very High-Resolution Imagery Using Object-Based Image Analysis and Feature Selection Strategy by E. O. Yilmaz, T. Kavzoglu, I. Colkesen, H. Tonbul, A. Teke

“…The delineation and monitoring of poplar cultivated areas are invaluable for decision-making processes. With the remote sensing technology, accurate detection of poplar planted areas could be determined much faster, more economically, and with minimum labor requirements. …”
Get full text

Cloning and expression analysis of maize fucosyltransferase gene SPINDLY by LI Bowen, WANG Zhiqin, ZHU Xiaona, ZHU Zhenyu, GAO Xiaoxiao*

“…Previous studies have indicated that the SPY protein regulates plant growth and development by modulating various intracellular processes in Arabidopsis thaliana. Its mediated O-fucosylation plays an important role in maintaining cell homeostasis and regulating plant growth and development, however protein O-fucosylation regulated by SPY in other plants largely remain unknown. …”
Get full text

Generalization of scientific and institutional prerequisites for risk management of technological integration by A. E. Miller, L. M. Davidenko

“…The authors highlight the trends of technological transformation of the global energy complex, which determine the promising directions of technological integration of the oil and gas sector for the development of carbon-neutral energy. As a positive vector, the development and implementation of innovations that improve environmental safety, as well as new technologies for the production of pure hydrogen from natural gas and recycling processes are shown. …”
Get full text

Linear Perturbations of the Bloch Type of Space-Periodic Magnetohydrodynamic Steady States. II. Numerical Results by Chertovskih R, Zheligovsky V

“…Such a mode is characterized by the ratio of spatial scales which, for simplicity, we identify with the length |q| < 1 of the Bloch wave vector q. Computations have revealed that the Bloch modes, whose growth rates are maximum over q, feature the scale ratio that decreases on increasing the nondimensionalized molecular diffusivity and/or viscosity from 0.03 to 0.3, and the scale separation is high (i.e., |q| is small) only for large molecular diffusivities. …”
Get full text

Automated Detection of Recent Mud Extrusions Using UAV Imagery and Deep Learning: A Comparative Analysis of Traditional and CNN-Based Approaches by M. Guastella, M. Guastella, A. Pisciotta, R. Martorana, A. D’Alessandro

“…Traditional machine learning algorithms, including Support Vector Machine (SVM), Random Forest, and Extreme Gradient Boosting (XGBoost), were compared with deep learning architectures such as Convolutional Neural Networks (CNNs), both leveraging transfer learning and custom models. …”
Get full text

A precise machine learning model: Detecting cervical cancer using feature selection and explainable AI by Rashiduzzaman Shakil, Sadia Islam, Bonna Akter

“…Hence, in these studies, we presented a precise approach utilizing six different machine learning models (decision tree, logistic regression, naïve bayes, random forest, k nearest neighbors, support vector machine), which can predict the early stage of cervical cancer by analysing 36 risk factor attributes of 858 individuals. …”
Get full text

The Impact of Tax Morality on Tax Evasion: Evidence of EU Countries by Oleksiy Mazurenko, Inna Tiutiunyk, Lilia Derkach

“…A set of direct and indirect factors that affect the changing trends of the main indicators of its functioning and determine the key vectors of state policy define the pace of the country’s economic development. …”
Get full text

Fabrication of high-quality surface microtextures on GaN by femtosecond laser direct writing by Rushuai Hua, Zongwei Xu, Zhixiang Tao, Bing Dong, Hong Wang, Long Yang

“…High-quality precision machining of different types of periodic surface microtexture at 40 mW laser power was achieved by controlling the process parameters and laser trajectory. Finally, an initial exploration was conducted to examine vector-light-based micro- and nanostructure processing. …”
Get full text

Monitoring Gypsiferous Soils by Leveraging Advanced Spaceborne Hyperspectral Imagery via Spectral Indices and a Machine Learning Approach by Najmeh Rasooli, Saham Mirzaei, Stefano Pignatti

“…Four machine learning algorithms, including PLSR (Partial Least Squares Regression), RF (Random Forest), SVR (Support Vector Regression), and GPR (Gaussian Process Regression), achieved excellent performance (RPD > 2.5). …”
Get full text

Adenovirus-Based Single-Dose Vaccines for SARS-CoV-2: A Review by Vivek P Chavda, Anita A. Mehta, Hajra Zafar, Faisal Raza, Ana Cláudia Paiva-Santos, Pankti C. Balar, Vasso Apostolopoulos, Lalitkumar Vora

“…Many features of the Ad vector render it an appealing vaccine carrier for contagious diseases, including high titer, ease of processing, high effectiveness, low immunogenicity in clinical trials, and consistency in pharmaceutical packaging and shipment processes. …”
Get full text

EnsembleNPPred: A Robust Approach to Neuropeptide Prediction and Recognition Using Ensemble Machine Learning and Deep Learning Methods by Supatcha Lertampaiporn, Warin Wattanapornprom, Chinae Thammarongtham, Apiradee Hongsthong

“…Neuropeptides (NPs) are a diverse group of signaling molecules involved in regulating key physiological processes such as pain perception, stress response, mood, appetite, and circadian rhythms. …”
Get full text

Identification of Biomarkers Associated with Heart Failure Caused by Idiopathic Dilated Cardiomyopathy Using WGCNA and Machine Learning Algorithms by Mengyi Sun, Linping Li

“…Candidate genes were identified by intersecting the key module genes identified via WGCNA with DEGs and further screened via the support vector machine-recursive feature elimination (SVM-RFE) method and the least absolute shrinkage and selection operator (LASSO) algorithm. …”
Get full text

Facilitating automated fact-checking: a machine learning based weighted ensemble technique for claim detection by Md. Rashadur Rahman, Rezaul Karim, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Gahangir Hossain, Tetsuya Shimamura

“…This paper proposes a novel ensemble machine learning framework for the effective detection of claims in a low-resource language like Bangla, a critical initial step in the automated fact-checking process. The proposed weighted ensemble technique combines Support Vector Machines, Bernoulli Naive Bayes, and Decision Trees as base classifiers to effectively detect claims. …”
Get full text

Revolutionizing agri-food technology: Development and validation of the Portable Intelligent Oil Recognition System (PIORS) by Montaser N.A. Ramadan, Mohammed A.H. Ali, Shin Yee Khoo, Layth Hamad, Mohammad Alkhedher

“…Several Machine learning models, including Support Vector Machines (SVM), AdaBoost, Random Forest, K-Nearest Neighbors (K-NN), Gradient-Boosting Decision Tree (GBDT), and Extreme Gradient Boosting (XGBoost) were implemented and thoroughly validated to obtain correct categorization. …”
Get full text

Advanced evaluation of performance of machine learning models for soapstock splitting optimisation under uncertainty by Bartosz Szeląg, Krzysztof Barbusiński, Michał Stachura, Przemysław Kowal, Adam Kiczko, Eldon R. Rene

“…Machine learning algorithms—Extreme Gradient Boosting (XGBoost) and Support Vector Machines (SVM)—were assessed in comparison with Response Surface Methodology (RSM). …”
Get full text

CENTRAL ASIAN GEODYNAMIC REGIMES WEST AND EAST 102–104° GEODIVIDER by Yu. G. Gatinsky, T. V. Prokhorova, D. V. Rundquist

“…Changes in the horizontal displacement vector are accompanied by the change of tectonic strain regimes. …”
Get full text

Construction of a proteolysis-resistant peptide sequence of the food recombinant protein GDF-11 and plasmid synthesis for its expression in E. coli by Valieva Sh. S., Tikhonov S. L., Tikhonova N. V., Timofeeva M. S., Shikhalev S. V.

“…The GDF-11 protein has a positive effect on animals and humans in inflammatory and infectious processes, regeneration and rejuvenation, its high expression is observed in many organs and tissues. …”
Get full text

The Role of Education in Building National Soft Power: An Empirical Analysis From a Global Perspective Using Deep Neural Networks by Yun Bai

“…Finally, we compare the performance of our proposed DNN model with other machine learning algorithms, such as Random Forest and Support Vector Machines, demonstrating superior predictive accuracy. …”
Get full text