Multi-Objective Ore Blending Optimization for Polymetallic Open-Pit Mines Based on Improved Matter-Element Extension Model and NSGA-II by Jun Xiang, Jianhong Chen, Aishu Zhang, Xing Zhao, Shengyuan Zhuo, Shan Yang

“…This study constructs a multi-objective ore blending optimization system for complex polymetallic open-pit mines based on the improved matter-element extension model and NSGA-II algorithm. …”
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Simultaneous OPEX and carbon footprint reduction with hydrogen enhancement in autothermal reforming: a machine learning–based surrogate modeling and optimization framework by Sahar Shahriari, Davood Iranshahi

“…This integration facilitates interpretable learning dynamics and reliable convergence without the need for complex neural architectures or large-scale training data. …”
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Improved rainfall and temperature satellite dataset in areas with scarce weather stations data: case study in Ancash, Peru by Eduardo E. Villavicencio, Katy D. Medina, Edwin A. Loarte, Hairo A. León

“…However, the availability of meteorological information in areas of complex topography is difficult, as the density of weather stations is often very low. …”
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A LithoScanner logging data processing method and application applicable to shale oil formation by Xuan Hu, Zhen Lin Wang, Jing Su, Wang Wang Yang, Xiao Xuan Chen, Peng Liu, Lei Zhao

“…Lithology identification is crucial for understanding the characteristics of reservoirs, optimizing development plans, and enhancing development efficiency. For shale oil formations, the mineral composition is complex and the lithological combinations are diverse, which imposes limitations on conventional well logging interpretation for lithology identification.LithoScanner Logging is a method for quantifying mineral content; however, discrepancies persist between logging-derived mineral content and core experimental results in the actual exploration and development process. …”
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Can Correct and Incorrect Worked Examples Supersede Worked Examples and Problem-Solving on Learning Linear Equations? An Examination from Cognitive Load and Motivation Perspectives by Bing Hiong Ngu, Ouhao Chen, Huy P. Phan, Hasbee Usop, Philip Nuli Anding

“…A student’s indication of optimal best, reflecting what is known as the ‘realistic–optimal achievement bests dichotomy’, aligns with his or her belief in their ability to perform tasks of varying complexity (simple task vs. complex task). …”
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Comprehensive treatment of patients with community-acquired pneumonia by N. E. Chernekhovskaya, I. Yu. Korzheva, I. M. Maltseva, A. V. Povalyaev

“…Blood flow fluctuations were determined and the microcirculation efficiency index (MEI) was calculated.Results. All tested microcirculation parameters in patients with pneumonia were lower compared with healthy individuals. …”
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Conserved structural topologies in RNase A-like and trypsin-like serine proteases: a sequence-based folding analysis by K. M. Ahsanul Kabir, Takuya Takahashi, Takeshi Kikuchi

“…Abstract Background Protein folding is a complex process in which amino acid sequences encode the information required for a polypeptide chain to fold into its functional three-dimensional (3D) structure. …”
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Preserving the Past: A Dynamic Analysis of Heritage Tourism and Land Conservation in Mamluk Cairo by Amany E. Salem, Ahmed Tawhid Eissa, Thowayeb H. Hassan, Mahmoud I. Saleh

“…The SVC considers operating hours, site capacity, and walking time, while the SVI holistically evaluates time efficiency, spatial distribution, and physical comfort. …”
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Surrogate-Assisted Multi-Objective Snow Goose Algorithm With Gaussian Process for Cold Chain Logistics by Jian Wu, Zong-Juan Yang, Zhi-Gang Du, Ai-Qing Tian

“…The results demonstrate the algorithm’s high solution quality, computational efficiency, and scalability. Moreover, the GP-SAMOSGA outperforms traditional multi-objective optimization algorithms, making it a promising tool for complex logistics optimization tasks. …”
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The Essence and Content of Product Distribution as an Economic Category by Viktoriia Bozhkova, Mykhailo Bilukha

“…The authors propose to understand distribution as a complex system that ensures timely and efficient movement and sale of necessary products to end consumers in accordance with their needs and demands with a high level of service and realization of economic interests of participants. …”
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From Structure to Diagnosis in medical education: An Analysis of Linguistic Features in Iranian Medical Reporting by Mahboub Amani, Nader Asadi, Masoud Zoghi

“…Complex clauses appeared in 60% of the reports, integrating diagnostic observations concisely. …”
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Federated learning and GWO-enabled consumer-centric healthcare internet of things for pancreatic tumour by Nuha Alruwais, Ghada Moh. Samir Elhessewi, Muhammad Kashif Saeed, Menwa Alshammeri, Othman Alrusaini, Abdulwhab Alkharashi, Samah Al Zanin, Yahia Said

“…In order to get a correct diagnosis and choose the best treatment options before it becomes deadly, early detection and classification of pancreatic tumours are essential. …”
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NDL-Net: A Hybrid Deep Learning Framework for Diagnosing Neonatal Respiratory Distress Syndrome From Chest X-Rays by Malik Muhammad Arslan, Xiaodong Yang, Nan Zhao, Lei Guan, Tao Cui, Daniyal Haider

“…<italic>Results:</italic> The architecture combines MobileNetV3 Large for efficient image processing and ResNet50 for detecting complex patterns essential for NRDS identification. …”
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River Channel Microgeomorphic Feature Extraction and Potential Sandstorm Source Identification Method Based on a Convolutional Autoencoder Model by Kecong Wu, Lirong Chen, Yalige Bai, Xinhang Wang, Danzeng Pingcuo, Zhongpeng Han, Chengshan Wang

“…It addresses the challenges of spatiotemporal feature extraction in complex geographical environments, and the identification of potential wind-blown sand sources in river channels. …”
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Potable water boiling can induce havoc in the water quality management arena due to the presence of microplastics by Renjith VishnuRadhan, Shagnika Das, Camille Hennion, T.I. Eldho, Anil Lonappan

“…Around 30 % of the world’s population lacks access to safe water despite being a critical factor that modulates the complex dynamics of ecosystems and societies. Efficient technologies to purify water to potable form are either inaccessible or economically not viable for the majority. …”
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SGRD: A Ship Group Relationship Description Method Based on Scene Graph Generation With a Global-Local Context Fusion Network by Qianwen Rui, Yanan You, Jingyi Cao, Kaiwen Zhu, Yuanyuan Qiao

“…Consequently, in specific scenes, the concise and efficient description of spatial-temporal relationships between high-value objects (such as vehicles and ships) presents a challenge. …”
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Classification and prediction of rock mass drillability for a tunnel boring machine based on operational data mining by Mingshe Sun, Song Chen, Song Chen, Huafei He, Wenzheng Wang, Kezhi Song, Xuebing Lin

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Min3GISG: A Synergistic Feature Selection Framework for Industrial Control System Security with the Integrating Genetic Algorithm and Filter Methods by Saiprasad Potharaju, Swapnali N. Tambe, G. Madhukar Rao, M. V. V. Prasad Kantipudi, Kalyan Devappa Bamane, Mininath Bendre

“…By reducing feature dimensionality without compromising accuracy, the proposed method enhances ICS security, offering a scalable and efficient solution for real-time attack detection.…”
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Study of component features of essential oils of <i>Rosmarinus officinalis</i> and <i>Salvia sclarea</i> of Crimean origin by R. E. Ermachenkov, A. L. Markov, M. M. Agaev, E. V. Burtseva, I. I. Terninko

“…The essential oils were analysed on the software and hardware complex of the gas chromatograph "Crystal 5000.2" with flame ionisation detection. …”
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DMoC-UNet: A Dynamic Mixture-of-Convolution Network for Enhanced Pathological Image Segmentation by Jingwei Zhu, Lining Qin, Zixin Teng, Xiaomin Li, Kuiwu Li, Haoran Chu

“…Pathological image segmentation is a cornerstone in medical image analysis and is crucial for tumor detection, tissue classification, and pathological diagnosis. …”
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