Prevention and Control of Hydrogen Sulphide Accidents in Mining Extremely Thick Coal Seam: A Case Study in Wudong Coal Mine by Xuchao Huang, Enmao Wang, Gang Wang, Jiuyuan Fan

“…In this study, we theoretically modelled hydrogen sulphide generation in extremely thick underground coal mines with the +575 level #45 coal seam of Wudong Coal Mine as an example and obtained the on-site hydrogen sulphide emission pattern and spatial distribution features by combining field measurements and computational fluid dynamics simulation. …”
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CD2AP at the junction of nephropathy and Alzheimer’s disease by Milene Vandal, Mohsen Janmaleki, Isabel Rea, Colin Gunn, Sotaro Hirai, Jeff Biernaskie, Justin Chun, Grant Gordon, Andrey Shaw, Amir Sanati-Nezhad, Gerald Pfeffer, Frederic Calon, Minh Dang Nguyen

“…Abstract Polymorphisms in the gene encoding CD2-associated protein (CD2AP) are associated with an increased risk for developing Alzheimer’s disease (AD). Intriguingly, variants in the gene also cause a pattern of kidney injury termed focal segmental glomerulosclerosis. …”
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Multivariate quantitative analysis of glycan impact on IgG1 effector functions by Tamara Cvijić, Matej Horvat, Jakob Plahutnik, Ana Golob, Jaka Marušič

“…The intercorrelated nature of glycan patterns, combined with the low variability and lack of well-defined glycan patterns in process development and manufacture samples, makes studying the effects of individual glycan structures challenging. …”
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MATHEMATICAL-CARTOGRAPHIC MODELING AND CARTOGRAPHY OP DEMOGRAPHIC SITUATION IN THE REGIONS OF EUROPE AND RUSSIA by A. I. Igonin, V. S. Tikunov

“…The multivariate typology gave heterogeneous results, which makes it possible to assess a wide range of territorial features of the demographic characteristics of the population and identify patterns of their distribution. …”
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Speech Competencies in Russian-Speaking Monolinguals of the Tyva Republic in the Context of Tuvan-Russian Bilingualism by Evgeny Y. Litskevich

“…Language acquisition, especially when it is the second language, follows psychological rather than linguistic patterns, e.g., assimilation and imitation. In this research, we made an attempt to study the individual psychological features of speech as a higher mental function. …”

Quantitative characteristics of microstructure of shale reservoirs with different lithofacies in Dongying Sag， Jiyang Depression by NI Liangtian, DU Yushan, JIANG Long, YANG Feng, SUN Hongxia, FENG Mingshi, LIU Zupeng, LÜ Shichao, WANG Yunhe, LI Weizhong, LI Zhongxin

“…According to the differences in the connectivity efficiency and development of various micro-fractures， the matrix-type laminated shale exhibits a complex pore-fracture network connectivity pattern composed of bedding fractures， grain-edge fractures， intercrystalline fractures， intergranular pores， and intercrystalline pores （dissolution pores）， demonstrating high-efficiency storage spaces. …”
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Objective Assessment of Cancer Biomarkers Using Semi-Rare Event Detection by Jeroen A. W. M. van der Laak, Albertus G. Siebers, Sabine A. A. P. Aalders, Johanna M. M. Grefte, Peter C. M. de Wilde, Johan Bulten

“…A gallery image is constructed showing the diagnostically most interesting cells as well as quantitative data expressing the biomarker staining pattern. To increase scanning speed, an adaptive scanning strategy is studied in which scanning is aborted when a sufficient number of positive cells has been identified. …”
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Reading Tabriz Municipality Building Based on Foucault’s Theory of Power by Noushin Ghorbani, Sahar Toufan, Habib Shah Hosseini, Nima Vali Zadeh, Hassan Sattari Sarbangholi

“…The results pointed to a pattern that can be used in the design of public buildings by city managers.…”
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Ultrafast Laser High-Aspect-Ratio Extreme Nanostructuring of Glass beyond λ/100 by Guodong Zhang, Anton Rudenko, Razvan Stoian, Guanghua Cheng

“…The ultimate feature size is key in ultrafast laser material processing. …”
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A novel deep learning approach for predicting stone-free rates post-ESWL on uncontrasted CT by Ozgur Efiloglu, Muhammed Yildirim, Kadir Yildirim, Harun Bingol, Mustafa Kaan Akalin, Meftun Culpan, Bilal Alatas, Asif Yildirim

“…Since the local binary pattern (LBP) and histogram of oriented gradients (HOG) feature extraction methods gave more successful results than other methods, a new feature map was obtained using the neighborhood component analysis (NCA) dimension reduction method after combining the features obtained using these methods. …”
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A nomogram involving immune‐inflammation index for predicting distant metastasis‐free survival of major salivary gland carcinoma following postoperative radiotherapy by Wenbin Yan, Xiaomin Ou, Chunying Shen, Chaosu Hu

“…Abstract Background Postoperative radiotherapy (PORT) is beneficial in the improvement of local‐regional control and overall survival (OS) for major salivary gland carcinomas (SGCs), and distant metastasis remained the main failure pattern. This study was designed to develop a nomogram model involving immune‐inflammation index to predict distant metastasis‐free survival (DMFS) of major SGCs. …”
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Functional constipation by Yu. O. Shulpekova, A. A. Kurbatova, A. V. Sedova

“…The origin of functional bowel diseases is still presented in the context of biopsychosocial model; that develop due to impact of constitutive factors, in particular features of serotoninergic and adrenergic regulation, dietary habit, bile acid metabolism etc. …”
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Calcium levels in acid concentrate are critical - A case series of post-hemodialysis hypercalcemia due to high calcium in acid concentrate by Nabadwip Pathak, Sunil Kumar Nanda

“…A significantly greater number of patients who received dialysis with higher calcium dialysate developed intradialytic hypertension than did those who received dialysis with normal calcium dialysate (p=0.031). …”
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Forecast of urban air pollution level by expertise by Elena O. Lazareva, Irina N. Lipovitskaya, Elena S. Andreeva, Yulia V. Yefimova

“…Introduction. A climate pattern with marine features is typical for St. Petersburg. …”
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Insights into the evolution and regulation of miRNAs from the view of their DNA replication temporal domains by Xudong Wu, Tingting Liu

“…Furthermore, we performed the simulation of miRNA-target regulatory networks to elucidate the co-regulation patterns among late-miRNAs. To advance predictive capabilities, we developed a a support vector machine (SVM) classifier based on RNA-FM embedding, enabling prediction of miRNAs’ replication timing domains.Results and DiscussionOur study indicated that the late pre-miRNAs maintained their ability to fold into hairpin structures through extending their lengths at both ends under the premise of maintaining a certain GC content of the precursors. …”
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Randomization-Driven Hybrid Deep Learning for Diabetic Retinopathy Detection by A. M. Mutawa, G. R. Hemalakshmi, N. B. Prakash, M. Murugappan

“…This study pioneers an innovative framework, using Multi-Scale Discriminative Robust Local Binary Pattern (MS-DRLBP) features, combined with a hybrid Convolutional Neural Network-Radial Basis Function (CNN-RBF) classifier, to enhance the detection of DR. …”
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'Navigating a lonely road to adulthood with an ever-changing map'; a framework and case study protocol exploring the transition to adulthood, mental health literacy and occupationa... by Martin Karaba Bäckström, Sonya Girdler, Ulf Jonsson, Carita Håkansson, Annika Lexén

“…This knowledge will subsequently inform the future co-production and core design features of a digital mental e-health intervention aimed at promoting mental well-being among Swedish young adults aged 18-29.…”
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SpatConv Enables the Accurate Prediction of Protein Binding Sites by a Pretrained Protein Language Model and an Interpretable Bio-spatial Convolution by Mingming Guan, Jiyun Han, Shizhuo Zhang, Hongyu Zheng, Juntao Liu

“…SpatConv extracts sequence features from a pretrained large protein language model and structure features from a local coordinate framework. …”
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Technology of decision-making in process management of the non-productive sphere by O. M. Kulikova

“…The article describes author's technology of acceptance of administrative decisions in process management in non-production sphere that contains two algorithms: the algorithm of detecting patterns and forecasting, algorithm development management decisions in the form of options. …”
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Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy by Xuan Zhao, Weiyun Tang, Qiuyan Liu, Hongtao Cao, Fei Chen

“…Compared with traditional methods—such as deep neural networks, support vector machines, and linear regression—the proposed model effectively integrates static and dynamic agricultural data. Static features, including farmland distribution and soil types, are extracted using Convolutional Neural Networks, while temporal trends in variables such as weather patterns and policy changes are captured by the Long Short-Term Memory network. …”
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