Progress and research direction of shale oil exploration in complex fault blocks with low to medium TOC in Subei Basin by ZHONG Zhiguo, YU Wenquan, DUAN Hongliang, YANG Baoliang

“…These layers are characterized by substantial thickness, wide distribution, high content of brittle minerals, well-developed laminated structure, and favorable organic matter types, with typical geological features, including low to medium total organic carbon (TOC), complex tectonics and lithology, and developed faults/fractures. …”
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Computational Analysis Method for Multi-subject Behavior in Public Spaces Based on Targeted Computer Vision Tracking by Chao YAN, Siyan LIU, Shanshu HE, Leiqing XU

“…Therefore, future development using human pose tracking is essential for more refined analysis. …”
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Antibiotic stories: a mixed-methods, multi-country analysis of household antibiotic use in Malawi, Uganda and Zimbabwe by Justin Dixon, Shunmay Yeung, John Bradley, Laurie Denyer Willis, Susan Nayiga, Clare I R Chandler, Rashida Abbas Ferrand, Sham Lal, Miriam Kayendeke, Christine Nabirye, Sarah G Staedke, Eleanor Elizabeth MacPherson, Edward Green, Salome Manyau, Esnart Sanudi, Alex Nkaombe, Portia Mareke, Kenny Sitole, Coll de Lima Hutchison, Chrissy Roberts

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Distribution of Remaining Oil and Enhanced Oil Recovery Strategy for Carboniferous Buried-Hill Reservoirs in Junggar Basin by Qijun Lv, Zhaowen Shi, Linsong Cheng, Chunjing Zan

“…To provide effective strategies for stabilizing and enhancing production during the middle to late development stages, it is essential to establish a dual-porosity and dual-permeability model based on a clear understanding of lithological distribution patterns. …”
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Multimodal machine learning for analysing multifactorial causes of disease—The case of childhood overweight and obesity in Mexico by Rosario Silva Sepulveda, Magnus Boman, Magnus Boman

“…Unsupervised learning approaches varied in the optimal number of clusters but agreed on the importance of home environment features when analysing inter-cluster patterns. Main findings from this study differed from previous studies using only traditional statistical methods on the same database. …”
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A codon usage-based approach for the stratification of Influenza A across recent spillovers by Tommaso Alfonsi, Matteo Chiara, Anna Bernasconi

“…The approach developed in this work provides a scalable framework for IAV genomic surveillance, offering insights into viral evolution and shared patterns of codon usage preferences. …”
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A hybrid bio-inspired augmented with hyper-parameter deep learning model for brain tumor classification by Morolake Oladayo Lawrence

“…The CNN model is adjusted for different convolutional layers and fully connected layers to identify patterns and features in brain tumor pictures using an enhanced salp swarm algorithm (SSA) with kernel extreme learning machine (KELM). …”
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Initial Stages of Electrocrystallization of Coatings with Tin and Tin-Copper and Tin-Copper-Ultradisperse Diamond Alloys by I. I. Kuzmar, D. Y. Gulpa, L. K. Kushner

“…The need of modern microelectronics in the development of technological processes for the formation of nanostructured layers puts forward the necessity of understanding the mechanisms of nucleation and growth of deposits. …”
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A Multi-Scale Time–Frequency Complementary Load Forecasting Method for Integrated Energy Systems by Enci Jiang, Ziyi Wang, Shanshan Jiang

“…This study proposes ST-ScaleFusion, a multi-scale time–frequency complementary hybrid model to enhance comprehensive energy load forecasting accuracy. The model features three core modules: a multi-scale decomposition hybrid module for fine-grained extraction of multi-time-scale features via hierarchical down-sampling and seasonal-trend decoupling; a frequency domain interpolation forecasting (FI) module using complex linear projection for amplitude-phase joint modeling to capture long-term patterns and suppress noise; and an FI sub-module extending series length via frequency domain interpolation to adapt to non-stationary loads. …”
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Histogram-based gradient boosting machine with SHAP-driven interpretability for predicting intensity of urban heat Island effect by Nhat-Duc Hoang

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49, XXXYY: Parental Origin, Occurrence, and Clinical Phenotypes by Yufang Du, Liangrong Liao, Xianda Wei, Yunting Ma, Meizhen Shi, Chunyan Li, Juliang Liu, Wenting Lin, Hao Zeng, Shaoke Chen, Baoheng Gui

“…The patient exhibited a karyotype of 49, XXXYY without any mosaic patterns. No pathogenic microdeletions or microduplications (> 100 kb) were identified in autosomes 1–22. …”
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Subject and Current Problems of Theolinguistic Research in World Religious Studies by Aliya Kusherbayeva, Ainura Kurmanaliyeva

“…The purpose of this study was to identify the linguistic features of these texts that influence religious communication, the formation of spiritual beliefs and behavioural patterns of believers. …”
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A Novel Deep Learning Model for Motor Imagery Classification in Brain–Computer Interfaces by Wenhui Chen, Shunwu Xu, Qingqing Hu, Yiran Peng, Hong Zhang, Jian Zhang, Zhaowen Chen

“…The proposed method includes a Dual-Branch Feature Extraction Module designed to capture both temporal features and spatial patterns across different scales. …”
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Named Entity Recognition in Bengali by Asif Ekbal, Sivaji Bandyopadhyay

“…Lexical context patterns, generated from an unlabeled corpus of 3 million wordforms in a semi-automatic way, have been used as the features of the classifiers in order to improve their performance. …”
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Changes in the participation of Russia in the global financial architecture driven by geopolitical challenges and prospective evolution vectors of world finance by V. P. Akinina, I. O. Alimova, A. A. Petrovskaya, A. A. Krechetova

“…As part of the comprehensive study, the current state of the global financial system, the peculiarities of the functioning of national economies and their economic activity, as well as the features financial and economic development of Russia and prospects for the development were analyzed. …”
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Production monitoring and machine tracking in underground mines based on a collision avoidance system: A case study by Artur Skoczylas, Natalia Duda-Mróz, Wioletta Koperska, Paweł Stefaniak, Paweł Śliwiński

“…As part of this study, several analytical models (enhanced by machine learning techniques) were developed to identify movement patterns and cooperation among wheeled transport machinery, as well as the entire course of ore logistics within the mining area. …”
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Spatial distribution characteristics and tourism response of intangible cultural heritage in coastal areas of China by Litao Xie, Tingzuo Feng, Lijun Jiang, Jing Tian

“…Abstract The coastal regions of China are abundant in intangible cultural heritage (ICH) resources characterized by distinct maritime features. The comprehensive integration and development of these resources with tourism represent a critical strategy for the scientific protection and sustainable development of coastal ICH. …”
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Scheduling with sequence-dependent setup times in short-term production planning: A main path analysis-based review by Kuo-Ching Ying, Pourya Pourhejazy, Zhi-Rong Lin

“…The Main Path Analysis (MPA) and Cluster Analysis (CA) methods are employed to identify patterns of knowledge development and the most significant advancements in the field. …”
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Economical, Constructional, and Cultural Conditions of the ‎Mongols by Rajaa Azeez Shallal, Abdulsattar Mutlag Darweesh

“…On the other hand, architecture ‎was limited in terms of documentation and sources, but the geographical ‎expansion contributed to the Mongols' openness to multiple urban patterns. ‎Conclusions: It can be concluded that the nomadic and military nature of ‎Mongol society influenced the features of its economic and urban ‎development, with the military nature dominating production, and a lifestyle ‎based on herding and trade emerging. …”
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Heterogeneity in recombination rates and accessory gene co-occurrence distinguish Pseudomonas aeruginosa phylogroups by Samara T. Choudhury, Kathryn R. Piper, Manuela Montoya-Giraldo, Odion O. Ikhimiukor, Jeremy R. Dettman, Rees Kassen, Cheryl P. Andam

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