Biomarkers for Chronic Pain: Significance and Summary of Recent Advances by Sam Eldabe, Ilona Obara, Catherine Panwar, David Caraway

“…While some headway has been made that offers efficiencies in patient selection, it is unlikely that a single test will encompass the variety of chronic pain phenotypes. …”
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Promoting agricultural sustainable development by a novel integrated pythagorean neutrosophic and WINGS-BWM model by Kecheng Zhang, Zhicheng Chen

“…This method provides a more comprehensive and accurate reflection of decision-makers’ opinions and judgments, improving decision-making efficiency, and can be widely applied not only in agriculture but also to other decision-making problems.…”
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Graph cut-based segmentation for intervertebral disc in human MRI by Leena Silvoster, R. Mathusoothan S. Kumar

“…The polynomial time complexity of this approach enables the exploration of a globally optimal solution, eliminating the need for user interaction in seed point selection. …”
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A graph convolutional network approach for hyperspectral image analysis of blueberries physiological traits under drought stress by Md. Hasibur Rahman, Savannah Busby, Sajid Hanif, Md Mesbahul Maruf, Faraz Ahmad, Sushan Ru, Alvaro Sanz-Saez, Jingyi Zheng, Tanzeel U. Rehman

“…The Plant-GCN model utilizes graph convolutional layers that aggregate information from neighboring nodes, effectively capturing complex interactions in the spectral signature and enhancing the prediction of physiological traits. …”
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Main factors controlling stable production from gas-condensate reservoirs in block 2 of the Shunbei Oilfield, Tarim Basin by Shuyang Chen, Shengwen Mei, Cheng Huang, Wen Chen, Lei Zhang, Haojie Shang, Pengfei Xie

“…Condensate gas reservoirs in the second area of the Shunbei Oilfield in the Tarim Basin, China have undergone multiple stages of tectonic movements, resulting in complex structural patterns and reservoir characteristics. …”
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Economic Model Predictive Control for Wastewater Treatment Processes Based on Global Maximum Error POD-TPWL by Zhiyu Wang, Jing Zeng, Jinfeng Liu

“…These advancements underscore the method’s potential for real-time implementation in complex industrial systems, balancing computational efficiency with control precision. …”
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Applying a system dynamics approach for decision-making in software testing projects. by Wang Li, Chih-Chiang Fang

“…This includes factors such as resource allocation, testing efficiency, error detection rates, and the feedback loops among these elements. …”
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Sugarcane leaf disease classification using deep neural network approach by Saravanan Srinivasan, S. M. Prabin, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Suresh Kulandaivelu, Mohd Asif Shah

“…Discussion The study demonstrates the effectiveness of DL models, particularly EfficientNet-B7 and DenseNet201, for fast, accurate, and automatic disease detection in sugarcane leaves. …”
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Electric-field-induced assists in the preferential extraction of lithium from spent LiFePO4 by Shangpei Yong, Yan Lin

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Describing Pulmonary Nodules Using 3D Clustering by Amera Al-Funjan, Farid Meziane, Rob Aspin

“…Determining the tumor (nodule) characteristics in terms of the shape, location, and type is an essential step after nodule detection in medical images for selecting the appropriate clinical intervention by radiologists. …”
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Classifcation of events in information security systems based on neural networks by A. A. Mikryukov, A. V. Babash, V. A. Sizov

“…To address the problem more effectively, collective methods based on collective neural ensembles aligned with an advanced complex approach were implemented.Materials and methods: When solving complex classification problems, often none of the classification algorithms provides the required accuracy. …”
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TAE Predict: An Ensemble Methodology for Multivariate Time Series Forecasting of Climate Variables in the Context of Climate Change by Juan Frausto Solís, Erick Estrada-Patiño, Mirna Ponce Flores, Juan Paulo Sánchez-Hernández, Guadalupe Castilla-Valdez, Javier González-Barbosa

“…The findings highlight the potential of integrating modern techniques to address complex, high-dimensional problems. By combining advanced prediction models and feature selection strategies, this study advances the reliability of climate forecasts and contributes to the development of effective adaptation and mitigation measures in response to climate change challenges.…”
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Medical care information support for patients with drug-resistant tuberculosis in the Kemerovo Region by S. V. Saranchina, I. F. Kopylova, O. V. Ivanova, L. A. Lomova

“…Introduced for the purpose of increase of rendering of quality of medical care in to service of the Kemerovo region the computer program «Monitoring of TB patients with drug-resistance» in a complex with other programs provides control over selection on treatment, completeness and frequency rate of inspection, adequacy and efficiency of treatment TB patients with drug-resistance, work of the specialized medical commissions.…”
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Evaluation of sustainable airport development strategies using an integrated intuitionistic fuzzy decision-making method and unknown weights by Fei Gao

“…Air transportation, while highly efficient for passenger transit, poses a substantial challenge due to its significant contribution to carbon emissions, and there has been a burgeoning interest in sustainable airports as a means to attain environmental sustainability. …”
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STsisal: a reference-free deconvolution pipeline for spatial transcriptomics data by Yinghao Fu, Yinghao Fu, Yinghao Fu, Leqi Tian, Weiwei Zhang

“…STsisal leverages a novel approach that integrates marker gene selection, mixing ratio decomposition, and cell type characteristic matrix analysis to discern distinct cell types with precision and efficiency within complex tissues. …”
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Computational optimization of associative learning experiments. by Filip Melinscak, Dominik R Bach

“…With computational biology striving to provide more accurate theoretical accounts of biological systems, use of increasingly complex computational models seems inevitable. However, this trend engenders a challenge of optimal experimental design: due to the flexibility of complex models, it is difficult to intuitively design experiments that will efficiently expose differences between candidate models or allow accurate estimation of their parameters. …”
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Leadership competences for the excellence of municipalities’ strategic management by Andrius Valickas, Agota Giedre Raišiene, Malvina Arimavičiūtė

“…Specifics of leadership in municipalities is significantly influenced by the complexity of municipal management, which is happening in multi-layer administration environment, with various interested parties and administrative actors involved at the same time. …”
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Hierarchical Quantum Architecture Search for Variational Quantum Algorithms by Tong Zhao, Bo Chen, Guanting Wu, Liang Zeng

“…Designing efficient variational quantum algorithms (VQAs) is crucial for transforming the theoretical advantages of quantum algorithms into practical applications. …”
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Feasibility of rational constructive and technological parameters of organization options of multigroup shunting on the basis of simulation modeling by S. V. Karasev, D. A. Sivitskiy

“…The article deals with the problem of optimizing the design and technology of the shunting complex, specialized for a multigroup selection of cars. …”
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Intelligent resource scheduling scheme for UAV swarm collaborative sensing by ZHAO Pengcheng, LI Tianyang, LENG Supeng, XIONG Kai

“…Adaptive sensing mode selection, stepwise computation offloading, and competitive bandwidth allocation were integrated to achieve heterogeneous resource coordination across communication, sensing, and computation (CSC), thereby enhancing collaborative sensing efficiency. …”
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