ON DISCRETE STRUCTURE OF GEOLOGIC MEDIUM AND CONTINUAL APPROACH TO MODELING ITS MOVEMENTS by Sh. A. Mukhamediev

“…However, it is not an obstacle to developing continuum models of such movements in the same way as, for instance, the adequacy of the continuum general theory of relativity is not denied in view of the discrete-hierarchical structure of the Universe.The key requirements to a model include its applicability, testability, confirmability/deniability of its predictions in the investigated space-time scale, and compliance with conservation laws. …”
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Spatiotemporal variations of vegetation and its response to climate change and human activities in loess hilly area of western Henan Province, China by Zhijia Gu, Zhijia Gu, Keke Ji, Keke Ji, Zixin Li, Gaohan Xu, Gaohan Xu, Ao Li, Yi Shen, Yi Shen, Chong Yao, Chong Yao, Boxiang Yang

“…Human activity intensity serves as the primary driving factor for vegetation changes in this area. For instance, the "Grain for Green Project" has significantly promoted vegetation restoration in the study region, while land use changes tend to trigger substantial vegetation disturbances.…”
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Finding the Optimal Convolutional Kernel Size for Semantic Segmentation of Pole-like Objects in Lidar Point Clouds by Z. Zhang, D. Shojaei, K. Khoshelham

“…We also develop a post-processing approach that transforms semantic segmentation outputs into panoptic segmentation results, enabling accurate detection of individual PLO instances. Furthermore, qualitative tests on an independent, unlabelled point cloud dataset from a different urban area demonstrate that our method consistently achieves accurate segmentation.…”
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A benchmark dataset for validating FKS1 mutations in Candida auris by Elizabeth Misas, Lindsay A. Parnell, Malavika Rajeev, Luisa F. López, Amanda Ribeiro dos Santos, Zachary B. Mudge, Lalitha Gade, Kaitlin Forsberg, Meghan Lyman, D. Joseph Sexton, Anastasia P. Litvintseva, Shawn R. Lockhart, Nancy A. Chow

“…Increasing instances of echinocandin-resistant cases highlight the need for rapid detection and response. …”
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A Sky Full of Stars, Constellations, Satellites and More! Legal Issues for a ‘Darkʼ Sky by Steven Freeland, Anne-Sophie Martin

“…Large constellation programmes and space debris reflect sunlight into astronomical telescopes or cross their field of view, in many instances degrading certain astronomical observations which would otherwise support our capacity to understand the universe, enable deep-space navigation and exploration and provide early warning detection of near-Earth objects. …”
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A mathematical framework for the quantitative analysis of genetic buffering. by Jim Karagiannis

“…While high-throughput screens have identified many instances of genetic buffering - through the detection of "synthetic lethality" or "synthetic sickness" - a formal and general method for its quantitative analysis across systems is lacking. …”
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Investigation of the Application of Machine Learning Algorithms in Credit Risk Assessment of Medium and Micro Enterprises by Yujie Zhao

“…Thus, this proposed method achieves 14.65% high-risk detection with 5.56% financial revisions for the industry considered by the data source.…”
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Cloud Computing-Based Security Analysis on Wireless Sensor Nodes Cluster Using Predictive Technique by Muhammed Zaharadeen Ahmed, Aisha Hassan Abdallah Hashim, Othman Omran Khalifa, Aliyu Muhammad Wakil, Zeinab E. Ahmed, Khmaies Ouhada

“…Experimental results indicate robust detection capabilities, with the Decision Tree achieving 99.48% accuracy, slightly outperforming MLP at 99.37%. …”
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Dynamic fuzz testing of UAV configuration parameters based on dual guidance of fitness and coverage by Yuexuan Ma, Xiao Yu, Li Zhang, Zhao Li, Yuanzhang Li, Yu-an Tan

“…Experimental results show that this method almost covers ArduCopter's position and attitude controller, guiding the UAV into abnormal states such as spin and crash, and detecting specific instances of configuration parameter defects.…”
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Accelerating the k-Means++ Algorithm by Using Geometric Information by Guillem Rodriguez Corominas, Maria J. Blesa, Christian Blum

“…The version utilizing the Triangle Inequality is particularly effective for low-dimensional data, while the additional norm-based filter enhances performance in high-dimensional instances with greater norm variance among points. …”
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Prevalence of chronic pulmonary aspergillosis in fibrocavitary pulmonary tuberculosis patients by Rakesh Rajpurohit, Pankaj Wagh, Mamta Heda, Gaurav Dubey, Pankaj S. Gujar

“…CPA patients requires long-term anti-fungal therapy; hence an improved case detection should be undertaken.…”
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MicroRNAs in bone metastases: mechanisms and research progression by Wei He, Zhen Wang, ZiHan Li

“…These metastatic lesions are typically localized in the spine, pelvis, shoulders, and distal femur, thereby exerting a substantial influence on patients’ quality of life and prognosis. In numerous instances, the early detection of cancers frequently coincides with patients presenting symptoms induced by bone metastases, which strikingly highlights the severe and debilitating nature of this condition. …”
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A Novel Explainable Attention-Based Meta-Learning Framework for Imbalanced Brain Stroke Prediction by Inam Abousaber

“…These results validate the robustness and effectiveness of the approach, significantly improving the detection of minority-class instances while maintaining overall performance. …”
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Use of the Chainchecker application: Uganda's experience during the 2022 Sudan Virus Disease outbreak. by Rebecca Akunzirwe, Shannon Whitmer, Miles Stewart, Julie R Harris, Mercy W Wanyana, Sherry R Ahirirwe, Alex R Ario, Daniel Kadobera, Benon Kwesiga, Richard Migisha, Abraham Rajan, Nicole Stock, Julia Eng, John D Klena, Trevor Shoemaker, Joel Montgomery, Mary Choi

“…Determining epidemiological links between cases is critical for outbreak control as incorrect linkages may result in missed case detection and undetected disease transmission. We describe the Uganda Ministry of Health's experience using Chainchecker, a computer application designed to visualize and verify transmission chain data. …”
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EDITORIAL: ARTIFICIAL INTELLIGENCE AND ITS TRANSFORMATIVE IMPACT ON SCIENTIFIC PUBLISHING by Abubakar Munir

“…From peer review automation to the detection of plagiarism and manuscript proofing, AI is revolutionizing research production, dissemination, and evaluation. …”
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Survey of gut microbial biogeography and their functional niche in the grow-finishing swine of ordinary feeding by Lili Cao, Lili Cao, Wei Guo, Shiyu Yang, Shiyu Yang, Anum Ali Ahmad, Yuntao Dong, Cen Gong, Shuoqi Wang, Xuemin Yang, Zhentao Cheng, Zhihong Yan, Zhihong Yan, Weiwei Wang

“…For instance, Romboutsia (3.06–36.1%), Clostridium_sensu_stricto_1 (5.31–18.6%), and Terrisporobacter (0.849–5.72%) were dominant genera and specialists in the small intestine, associated with enriched pathways of Amino acid metabolism and Lipid metabolism. …”
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Multiple Pathways of Visual Adaptations for Water Column Usage in an Antarctic Adaptive Radiation by Ella B. Yoder, Elyse Parker, Bruno Frédérich, Alexandra Tew, Christopher D. Jones, Alex Dornburg

“…Here we investigated the relationship between depth niche, eye size, and the molecular basis of light detection across the Antarctic notothenioid adaptive radiation. …”
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Data curation of extracellular enzyme activity spectrophotometric or fluorometric data by Niels Gudmand Christiansen, Paul Iturbe-Espinoza, Rumakanta Sapkota, Anne Winding

“…When testing the function on multiple datasets, we found that our data curation did change EEA levels, but only in instances close to minimum detection levels. During curation, R² generally increased, resulting in more samples with acceptable R² values. …”
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Optimized classification of potato leaf disease using EfficientNet-LITE and KE-SVM in diverse environments by Gopal Sangar, Velswamy Rajasekar

“…KE-SVM Optimization cross-references misclassified instances with correct classifications across kernels, iteratively refining the confusion matrix to improve accuracy across all classes. …”
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A New Interval-Valued Fuzzy Set Knowledge and Accuracy Measure with Applications in Multi-Criteria Decision-Making and Recognizing Patterns by Dinesh Kansal, Satish Kumar

“…The recommended accuracy measure is applied to pattern detection challenges. A revised version of the Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR) method, utilizing the proposed accuracy measure, is introduced to address Multi-Criteria Decision-Making (MCDM) challenges within a interval fuzzy context. …”
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