Valuation method for sub-indicators of rock burst risk based on mining depth and tectonic stress by Zhen LI, Guanyang WU, Shangjin SI, Xin GAO, Xun LIU, Dongdong ZHANG, Chengxiang ZHANG, Jiachen LIU

“…The mechanical properties of deep rocks differ from those of the shallow layers due to the complex environment. Rock burst disasters are often induced under the disturbance of coal mining. …”
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Application and discussion of geological guidance technology for deep coalbed methane horizontal wells: A case study of block X in Shenmu gas field, Ordos Basin by LIN Weiqiang, CONG Peng, WANG Hong, WEI Zichen, YANG Yuntian, YAO Zhiqiang, QU Lili, MA Limin, WANG Fanglu

“…The Benxi Formation the 8th coal seam is characterized by complex local structures, brittle and soft coal layers, fast drilling rates, and a tendency for collapse, making trajectory control of the horizontal section difficult and posing a challenge to achieving a high rate of reservoir drilling encounter. …”
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Automatic picking method for ground penetrating radar wave groups at rough coal-rock interfaces by Ying TIAN, Chunzhi LI, Shuo CHEN, Zihao WANG, Fuyan LYU, Qiang ZHANG, Meng HAN, Chengjun HU

“…Its variable parameters are derived solely from known detection conditions and electrical properties of the rock layers, enabling automatic picking of ground-penetrating radar wave groups at coal-rock interfaces.…”
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Prediction method of gas content in deep coal seams based on logging parameters: A case study of the Baijiahai region in the Junggar Basin by Yijie Wen, Shu Tao, Fan Yang, Yi Cui, Qinghe Jing, Jie Guo, Shida Chen, Bin Zhang, Jincheng Ye

“…In this study, logging parameters are used as input variables to construct MAML and SVR models, and their performance in predicting gas content of deep coal seams across different regions and layers is compared. The results demonstrate that the MAML algorithm effectively addresses the complex relationships between gas content of deep coal seam and logging parameters. …”
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Democracies in Action: A Foucaultian Perspective on British and French Tax Enforcement by Coralie RAFFENNE, Marika TOUMI

“…Far from being a universal, abstract and ideological model, Democracy has to be understood as a multi-layered and complex set of relations, practices, networks and knowledge. …”
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Characteristics and Mechanisms of Long-lived Concentric Eyewalls in Typhoon Lekima in 2019 by Liu Tao, Duan Yihong, Feng Jianing, Wang Hui

“…Compared to the TC with only one eyewall, the dynamic and physical processes controlling the intensity change of concentric eyewalls are much more complex. Strengthening the research on this type of typhoons is conducive to improve the understanding of the structure and intensity change of TC. …”
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Measuring community resilience of flash floods using a multilevel interpretive structure model: Quantification and time-varying responses by Ming Zhong, Feng Ling, Weichen Zhong, Qian Zhang

“…The results show that the community resilience indicator system from the perspective of flash flood impact is a multi-dimensional and multi-layered complex network system. The direct influencing factors of community resilience in different types of community are different, the construction of water supply and drainage facilities and the flood emergency drills, as the fundamental influencing factors of community resilience, play an essential role in enhancing community resilience to flash floods. …”
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3D bioprinting of plant and animal cell-based hybrid food by Sushila Maharjan, Camila Yamashita, Cheng Pau Lee, Alejandro Villalobos Zepeda, Ana Karen Michel Farias, Andrea Duarte Rivera, Francisco Javier Aguilar Rojas, David Sebastian Rendon Ruiz, Armando Martinez Hernandez, David Hyram Hernandez Medina, Carlos Ezio Garciamendez-Mijares, Julia Japo, Ludivina Bermea Jimenez, Sonia Golombek, Alessandro Bentivogli, Michinao Hashimoto, Yu Shrike Zhang

“…One of the most promising methods within this domain is three-dimensional (3D) bioprinting, which allows for precise layering of cells to form sophisticated structures. …”
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In-depth patient-specific analysis of tumor heterogeneity in melanoma brain metastasis: Insights from spatial transcriptomics and multi-region bulk sequencing by Nidhi Sharma, Jana Rájová, Georgios Mermelekas, Kim Thrane, Joakim Lundeberg, Alia Shamikh, Sofi Vikström, Haris Babačić, Margret Jensdottir, Janne Lehtiö, Maria Pernemalm, Hanna Eriksson

“…Melanoma brain metastases (MBM) exhibit extensive intertumor and intratumor heterogeneity (ITH), driven by a complex tumor microenvironment. The aim of this study was to perform a detailed analysis of individual MBM patient tumors using a multiomics approach, integrating spatial transcriptomics with multi-region bulk exome, proteome, and transcriptome profiling for a small group of four patient samples. …”
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Research progress and implications of the application of large language model in shared decision-making in China’s healthcare field by Xuejing Li, Xuejing Li, Xuejing Li, Sihan Chen, Sihan Chen, Sihan Chen, Meiqi Meng, Meiqi Meng, Meiqi Meng, Ziyan Wang, Ziyan Wang, Ziyan Wang, Hongzhan Jiang, Hongzhan Jiang, Hongzhan Jiang, Yufang Hao, Yufang Hao, Yufang Hao

“…However, LLMs still face limitations in localization, decision-chain completeness, and handling complex scenarios, particularly in understanding traditional Chinese medicine (TCM) knowledge and supporting family-oriented decision-making models. …”
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Aspergillus fumigatus Infection-Induced Neutrophil Recruitment and Location in the Conducting Airway of Immunocompetent, Neutropenic, and Immunosuppressed Mice by Marina A. Shevchenko, Andrey O. Bogorodskiy, Natalia I. Troyanova, Ekaterina A. Servuli, Elena L. Bolkhovitina, Georg Büldt, Christoph Fahlke, Valentin I. Gordeliy, Thomas Gensch, Valentin I. Borshchevskiy, Alexander M. Sapozhnikov

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Multi-source Data-driven Analysis of Deformation and Influencing Factors for Expansive Soil Canal Slopes by ZHANG Yuhan, HU Jiang, LI Xing

“…Influenced by multiple environmental factors, the deformation mechanisms of these slopes are complex and demonstrate spatiotemporal heterogeneity. …”
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PCPAm - A dataset of histopathological images of penile cancer for classification tasksZenodo by Marcos Gabriel Mendes Lauande, Geraldo Braz Júnior, João Dallyson Sousa de Almeida, Vandecia Rejane Monteiro Fernandes, Anselmo Cardoso de Paiva, Rui Miguel Gil da Costa, Amanda Mara Teles, Leandro Lima da Silva, Haissa Oliveira Brito, Flávia Castello Branco Vidal

“…These extended labels enhance the dataset’s versatility for more complex tasks in medical image analysis. The dataset holds significant reuse potential for machine learning tasks beyond binary classification, allowing researchers to explore additional layers of analysis, such as HPV detection and histological grading. …”
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Substantiation оf Methods to Remove Water Inflows in Wells Draining Gas Condestate Deposits by E. V. Vaganov, S. K. Sokhoshko, I. I. Krasnov

“…Irregularity in thickness and area, as well as significant sandiness of clay layers causes a close hydrodynamic relationship of the layers. …”
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Aortic Aneurysm Inflammatory Cell Detection with Deep Learning methods by Kristóf-Gergö Nagy, Csaba Szferle, Attila Fintha

“…MLP networks connect layers sequentially, whereas ResNet introduces blocks that span across layers, thereby enabling faster learning and rendering it suitable for complex tasks. …”
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Studying the Meaning of Cinematic Techniques Through Experimental Approach: Introducing the Semantic Spectrum Model by Soheil Seraji, Mostafa Goudarzi

“…This approach provides a more comprehensive understanding of how cinematic techniques can evoke layered interpretations and reflect the complexity of audience engagement with film language.In conclusion, the study demonstrates that the semantic spectrum model is an effective tool for analyzing cinematic meaning, with the potential to open new avenues for research in cinematic studies. …”
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Of mice and men: Dendritic architecture differentiates human from mouse neuronal networks by Lida Kanari, Ying Shi, Alexis Arnaudon, Natalí Barros-Zulaica, Ruth Benavides-Piccione, Jay S. Coggan, Javier DeFelipe, Kathryn Hess, Huib D. Mansvelder, Eline J. Mertens, Julie Meystre, Rodrigo de Campos Perin, Maurizio Pezzoli, Roy Thomas Daniel, Ron Stoop, Idan Segev, Henry Markram, Christiaan P.J. de Kock

“…Focusing on the uniquely evolved human cortical layers 2 and 3, we computationally reconstruct the cortical architecture for mice and humans. …”
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Implementation of a disease trigger prediction model using AIML for early diagnosis of epilepsy by Aarohi Deshpande, Aarohi Gherkar, Avni Bhambure, Girish Shivhare, Shreyash Kolhe, Bhupendra Prajapati, Shama Mujawar

“…By bridging data-driven seizure prediction with molecular-level therapeutic exploration, this research contributes to precision medicine and highlights the potential of interdisciplinary computational approaches in tackling complex, treatment-resistant forms of epilepsy.…”
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AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction by Sreeni Chadalavada, Suleyman Yaman, Abdulkadir Sengur, Ravinesh C. Deo, Abdul Hafeez-Baig, Tracy Kolbe-Alexander, Niranjana Sampathila, U. Rajendra Acharya

“…The MSCBs employ four parallel 1D convolutional layers with different kernel sizes, enabling the model to extract multi-scale features critical for learning patterns in complex environmental data. …”
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ALK Family Inhibitor A83-01 Promotes the Proliferation of Mouse Male Germline Stem Cells (mGSCs) Under Serum- and Feeder-Free Conditions by Meng YU, Long WANG, Yue HU, Zhi-min LIAN, Jin-lian HUA

“…Male germline stem cells (mGSCs), as an alternative resource of pluripotent stem cells derived adult testis, have promising valuable in clinic medicine and regeneration, however, the derivation of mGSCs was complex and difficult. What the role A83-01 plays in promoting the proliferation of mGSCs is still unknown. …”
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