Research on the Instability Mechanism and Control Technology of Gob-Side Entry in Deep Mines with Soft Rock by Lu Ma, Luyi Xing, Chang Liu, Tongyuan Cui, Xi Qiao, Wang Miao, Peng Kong

“…The gob-side entry driving in deep mines with soft rock exhibits a complex deformation and instability mechanism. This complexity leads to challenges in roadway stability control which greatly affects the coal mine production succession and safe and efficient mining. …”
Get full text

A novel interval valued bipolar fuzzy hypersoft topological structures for multi-attribute decision making in the renewable energy sector by Muhammad Imran Harl, Muhammad Saeed, Muhammad Haris Saeed, Muhammad Salman Habib, Seung-June Hwang

“…Also, a novel decision-making algorithm leveraging the presented structure for multi-criteria analysis and complex system modeling is designed. The algorithm is applied to select optimal renewable energy source based on their economic, environmental, and technical aspects. …”
Get full text

What can be lost? Genomic perspective on the lipid metabolism of Mucoromycota by Blanka Sokołowska, Małgorzata Orłowska, Alicja Okrasińska, Sebastian Piłsyk, Julia Pawłowska, Anna Muszewska

“…Some strains have been selected as promising biotechnological organisms due to their ability to produce polyunsaturated fatty acids and efficient conversion of nutrients into lipids. …”
Get full text

Combination of solid-liquid hollow fiber liquid phase microextraction method with electromembrane extraction for extraction of Tolmetin and its determination followed by high perfo... by Samaneh Niazipour, Jahan Bakhsh Raoof, Milad Ghani, Reza Ojani

“…Additionally, the method attained a Blue Applicability Grade Index (BAGI) score of 67.5, confirming its high applicability and resource-efficient design. Conclusion: This approach offers high sensitivity, short extraction time, and excellent selectivity and reproducibility, making it well suited for trace analysis of tolmetin in complex matrices.…”
Get full text

Research on Data Repair of Pile-Type Adjustable Wind Turbine Foundation Monitoring Based on FST-ATTNet by WEI Huanwei, ZHAO Jizhang, ZHENG Xiao, TAN Fang, LIU Cong

“…This model is designed to enhance the modeling capabilities for complex time-series data, improve the accuracy of missing data reconstruction, and ensure the reliability of health monitoring, ultimately guaranteeing wind turbines' safe and efficient operation. …”
Get full text

Design and Validation of a Simplified Method to Determine Minimum Bactericidal Concentration in Nontuberculous Mycobacteria by Sara Batista, Mariana Fernández-Pittol, Lorena San Nicolás, Diego Martínez, Sofía Narváez, Mateu Espasa, Elena Garcia Losilla, Marc Rubio, Montserrat Garrigo, Griselda Tudó, Julian González-Martin

“…MBC values provide useful additional information regarding MIC values since the MBC/MIC ratio reveals whether antibiotics have bactericidal or bacteriostatic activity according to the species, which is pivotal for selecting the most adequate antibiotic combination to ensure efficient treatment management.…”
Get full text

ResNet-Driven Joint Decision-Making for VVC Optimization via Gradient Search by Fangmei Liu, Jiyuan Wang, Qiuwen Zhang

“…The proposed dynamic decision-making mechanism coordinates coding unit hierarchy configuration with spatial prediction modalities, achieving Pareto efficiency in computational resource allocation. The algorithm consists of two main components: a fast CU partitioning module and an intra-mode selection module. …”
Get full text

Experimental study of settlement and migration patterns of proppant in long narrow fractures in deep shale by LIU Haoqi, CHEN Fuhong, YU Zhili, GONG Wei, LUO Xi, LIN Hun

“…The findings have practical significance for selecting proppant types and optimizing fracturing parameters to enhance the production efficiency of deep shale gas wells.…”
Get full text

Arctic Tectonics and Volcanism: a multi-scale, multi-disciplinary educational approach by K. Senger, K. Senger, G. Shephard, G. Shephard, F. Ammerlaan, F. Ammerlaan, O. Anfinson, P. Audet, B. Coakley, V. Ershova, J. I. Faleide, S.-A. Grundvåg, S.-A. Grundvåg, R. K. Horota, K. Iyer, J. Janocha, J. Janocha, M. Jones, M. Jones, A. Minakov, M. Odlum, A. Sartell, A. Sartell, A. Schaeffer, D. Stockli, M. A. Vander Kloet, M. A. Vander Kloet, C. Gaina

“…The course assessment is centred around an individual research project that is presented orally and in a short and impactful <i>Geology</i> journal-style article. Considering the complex subject and the diversity of students' backgrounds and level of geological knowledge before the course, the student experiences during this course demonstrate that the multi-disciplinary, multi-lecturer field-and-classroom teaching is efficient and increases their motivation to explore Arctic science.…”
Get full text

In-Memory Versus Disk-Based Computing with Random Forest for Stock Analysis: A Comparative Study by Chitra Joshi, Chitrakant Banchorr, Omkaresh Kulkarni, Kirti Wanjale

“…As opposed to this, the MapReduce approach had higher latency and lower accuracy, reflecting its disk-based constraints and reduced efficiency for iterative machine learning tasks.Conclusion: The conclusion supports the fact that Spark is the better option for complex machine learning tasks such as stock price prediction, as it is good for handling large amounts of data. …”
Get full text

Establishing 3D organoid models from patient-derived conditionally reprogrammed cells to bridge preclinical and clinical insights in pancreatic cancer by Jin Su Kim, Chan Hee Park, Eunyoung Kim, Hee Seung Lee, Jinyoung Lee, Jeehoon Kim, Eun Hee Kam, Sanghee Nam, Moon Jae Chung, Jeong Youp Park, Seung Woo Park, Sangwoo Kim, Galam Leem, Seungmin Bang

“…Notably, the IC50 values for the 3D organoids were generally higher, reflecting the structural complexity and drug penetration barriers observed in vivo. …”
Get full text

Advancing pavement preservation: Comprehensive analysis and optimization of microsurfacing mixtures with stabilizers, bitumen types, emulsifiers, and fiber impacts by Ali Latifi, Parham Hayati, Ahmad Goli

“…These insights emphasize the criticality of precise additive selection in optimizing microsurfacing efficiency and provide effective guidelines for the optimal design of microsurfacing mixtures.…”
Get full text

UAV spatiotemporal crowdsourcing resource allocation based on deep reinforcement learning by Yaxi LIU, Xulong LI, Jiahao HUO, Wei HUANGFU

“…Furthermore, the paper delves into the strategic selection of the optimal number of UAVs to balance the trade-offs between coverage, energy consumption, and operational efficiency. …”
Get full text

Blockchain-Based Electronic Health Record: Systematic Literature Review by Nehal Ettaloui, Sara Arezki, Taoufiq Gadi

“…This comprehensive search, finalized in December 2022, utilized stringent inclusion and exclusion criteria to ensure the selection of high-quality articles, thereby guaranteeing transparency and unbiased results. …”
Get full text

Multi-Robot Cooperative Simultaneous Localization and Mapping Algorithm Based on Sub-Graph Partitioning by Wan Xu, Yanliang Chen, Shijie Liu, Ao Nie, Rupeng Chen

“…To address the challenges in multi-robot collaborative SLAM, including excessive redundant computations and low processing efficiency in candidate loop closure selection during front-end loop detection, as well as high computational complexity and long iteration times due to global pose optimization in the back-end, this paper introduces several key improvements. …”
Get full text

Traffic environment perception algorithm based on multi-task feature fusion and orthogonal attention by Zhengfeng LI, Mingen ZHONG, Yihong ZHANG, Kang FAN, Zhiying DENG, Jiawei TAN

“…Addressing these concerns is critical for enhancing the overall safety and efficiency of autonomous systems navigating complex traffic environments. …”
Get full text

Multi-sensor fusion for AI-driven behavior planning in medical applications by Chang Jianming, Qin Yuanyuan, Qin Yuanyuan, Xu Yanling, Li Li, Li Li, Wu Mianhua, Wu Mianhua, Wang Lulu

“…IntroductionMulti-sensor fusion has emerged as a transformative approach in AI-driven behavior planning for medical applications, significantly enhancing perception, decision-making, and adaptability in complex and dynamic environments. Traditional fusion methods primarily rely on deterministic techniques such as Kalman Filters or rule-based decision models. …”
Get full text

Fracture characteristics of reservoirs with different lithologies in marine-continental transitional facies and its influence on fracturing by ZHANG Wen, LIU Xiangjun, LIANG Lixi, XIONG Jian, WU Jianjun, LI Bing

Get full text

Application of weighted centroid algorithm based on weight correction in node localization of wireless sensor networks by Wengang Yu, ChunLing Yu

“…In addition, high-precision algorithms are often accompanied by high energy consumption, making it difficult to balance accuracy and energy efficiency. Therefore, how to improve positioning accuracy and reduce energy consumption in complex environments becomes a key challenge. …”
Get full text

Vascularised organoids: Recent advances and applications in cancer research by Rui Zhou, Dagmar Brislinger, Julia Fuchs, Alicia Lyons, Sonja Langthaler, Charlotte A. E. Hauser, Christian Baumgartner

“…Abstract Organoids are three‐dimensional (3D) cellular models designed to replicate human tissues and organs while preserving their physiological complexity and functionality. Among these, vascularised organoids represent a groundbreaking advancement in 3D tissue engineering, incorporating vascular networks into engineered tissues to more accurately mimic the in vivo tumour microenvironment. …”
Get full text