Supply Chain Management Control in the Aerospace Sector: An Empirical Approach by Gonzalo Torralba-Carnerero, Manuel García-Nieto, Juan Manuel Ramón-Jerónimo, Raquel Flórez-López

“…This is especially important given the complexity of aircraft manufacturing, the globalization of supply chains, and the requirement to meet stringent regulatory standards. …”
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On-axis structured beams generation via moiré and Mie resonant metallo-dielectric moiré gratings by Anil Ringne, Subrata Karmakar, Ananth Krishnan

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Advances in Selective Photocatalytic Oxidation of <i>p</i>-Xylene to Terephthalic Acid as a Sustainable Route: A Short Review on Photocatalyst Formulation and Related Reaction Mech... by Antonietta Mancuso, Olga Sacco, Vincenzo Vaiano

“…Advances in photocatalyst design—particularly in non-metallic and hybrid systems—could address key challenges such as limited light absorption and charge recombination, enhancing overall efficiency. Despite these advancements, maintaining high selectivity for terephthalic acid while minimizing by-product formation remains a critical challenge. …”
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The advantages of k-visibility: A comparative analysis of several time series clustering algorithms by Sergio Iglesias-Perez, Alberto Partida, Regino Criado

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Rapid Qualitative Analysis of Cashmere and Wool Mixed Content Based on Improved XGBoost and SPA Using NIR Spectroscopy by Xin Chen, Fang Wang, Yaolin Zhu, Jinni Chen

“…After preprocessing the spectra using maximum–minimum normalization, a model is established based on the successive projection algorithm to select wavelengths. Validation results indicate that this model significantly can improve prediction accuracy and reduce operation time, providing a convenient, rapid, and efficient method for distinguishing between cashmere and wool content.…”
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Single-index logistic model for high-dimensional group testing data by Changfu Yang, Wenxin Zhou, Wenjun Xiong, Junjian Zhang, Juan Ding

“…In this paper, we introduce a semi-parametric logistic single-index model for analyzing high-dimensional group testing data, which is particularly flexible in capturing complex nonlinear relationships. The proposed method achieves variable selection by parameter regularization, which proves especially beneficial for extracting relevant information from high-dimensional data. …”
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Real-Time Evaluation of the Improved Eagle Strategy Model in the Internet of Things by Venushini Rajendran, R Kanesaraj Ramasamy

“…Web services, facilitated by APIs, offer a modular approach to integrating and streamlining complex business processes. However, real-time monitoring and optimal service selection within large-scale, cloud-based repositories remain significant challenges. …”
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Reinforcing long lead time drought forecasting with a novel hybrid deep learning model: a case study in Iran by Mahnoosh Moghaddasi, Mansour Moradi, Mahdi Mohammadi Ghaleni, Zaher Mundher Yaseen

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Characterization of Irrigated Rice Cultivation Cycles and Classification in Brazil Using Time Series Similarity and Machine Learning Models with Sentinel Imagery by Andre Dalla Bernardina Garcia, Ieda Del’Arco Sanches, Victor Hugo Rohden Prudente, Kleber Trabaquini

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Parameters of maize hybrids developed for the conditions of insufficient and unstable humidit by G. Ya. Krivosheev, A. S. Ignatiev

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Increasing the wear resistance of plunger pairs of high-pressure fuel pumps using extreme pressure additives by D.D. Marchenko, K.S. Matvyeyeva, V.M. Kurepin

“…At the same time, the development and use of this type of additives in energy facilities of the agro-industrial complex is very difficult due to their relative high cost, and the lack of a complete scientific study of the problem does not contribute to the widespread use of extreme pressure additives in agricultural tractor engines. …”
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Importance of the CuAAC Reaction in the Synthesis of Platinum Complexes with 1,4-Disubstituted-1<i>H</i>-1,2,3-triazoles: A Review of Their Anticancer Activity by Delia Hernández-Romero, Sharon Rosete-Luna, Enrique Méndez-Bolaina, Elena de la C. Herrera-Cogco, Luis P. Amador-Gómez, Anell Soto-Contreras, José M. Rivera-Villanueva, Raúl Colorado-Peralta

“…This reaction allows the easy, efficient, functional, ordered, rapid, selective, and specific joining of small molecules, giving rise to more complex molecules. …”
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RaNet: a residual attention network for accurate prostate segmentation in T2-weighted MRI by Muhammad Arshad, Chengliang Wang, Muhammad Wajeeh Us Sima, Jamshed Ali Shaikh, Salem Alkhalaf, Fahad Alturise

“…Existing methods often struggle with the complex textures and subtle variations in the prostate. …”
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A study on multi-objective optimization for the location selection of smart underground parking facilities in high-density urban areas of megacities: A case study of Jing'an distri... by Xiaodan Li, Yunci Guo, Zhen Liu, Dandan Sun, Yidi Liu, Wencan Wang

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Link Prediction in Social Networks Using the HTOA by Foad Asef, Vahid Majidnezhad, Mohammad-Reza Feizi-Derakhshi

“…Despite considerable advancements in this field, existing methods often face challenges related to computational efficiency and prediction accuracy. This study introduces a novel approach to link prediction in social networks by employing the Heat Transfer Optimization Algorithm (HTOA) for topological feature selection. …”
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Geological characteristics and key technologies for exploration and development of the Yanchuannan coalbed methane field, Ordos Basin by Xipeng HE, Cui XIAO, Yuqiao GAO, Xin LI, Tao GUO, Xiao CAI

“…In recent years, CBM exploration and production have gradually expanded into deep, thin coal seams, which, however, are characterized by strong heterogeneity, ultra-low permeability, high in situ stress, and complex enrichment patterns. Therefore, the exploration and exploitation of deep, thin coal seams face challenges such as inadequate geological theories, poor adaptability of key technologies, and low investment returns, which hinder large-scale commercial CBM production. …”
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Role of Visual Saliency in Video Quality Assessments by Syeda Eesha-Tir-Razia, Qaisar Abbas, Imran Fareed Nizami, Adil Ali Raja, Mutlaq B. Aldajani, Mudasir Wahab, Tallha Akram, Sadiq Ahmad

“…This highlights the effectiveness of visual saliency and feature selection in improving the reliability and efficiency of VQA models, making them more aligned with human perception.…”
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Scientific and Methodological Bases of Exergetic Analysis of the Processes of Heat Treatment of Concrete Products in Heat Technology Installations. Part 1 by V. N. Romaniuk, A. M. Niyakovskii

“…Having proven its effectiveness in finding the best options for energy supply and energy consumption the exergetic method of thermodynamic analysis of complex heat and power systems has been widely recognized in recent years. …”
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Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning by Manish Sharma, Jamison Heard, Eli Saber, Panagiotis Markopoulos

“…This underscores the need for an adaptive compression method that integrates into the training process, dynamically adjusting model complexity based on data and task requirements. To address this, we propose an efficient training method for CNN compression via dynamic parameter rank pruning. …”
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Research Progress on Anti-floating Design of Underground Structures by WANG Sheng-li, DONG Shu-qing, HUANG Yu, SONG Zhi-han, WU Tong, ZHENG Shan-suo

“…Considering seepage effects, nine water buoyancy calculation models for different aquiclude structures were established based on Darcy’s law and seepage equilibrium equations, providing theoretical support for buoyancy calculations under complex geological conditions. (2) Researchers worldwide have derived buoyancy reduction coefficients for specific conditions through theoretical analysis, numerical simulation, and model box testing. …”
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