WHY WE CANNOT PREDICT STRONG EARTHQUAKES IN THE EARTH’S CRUST by Iosif L. Gufeld, Margarita I. Matveeva, Oleg N. Novoselov

“…Prior to the earthquake occurrence, the observed local anomalies of various fields reflected other processes that were mistakenly viewed as processes of preparation for largescale faulting. …”
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EFFECTIVENESS OF MATRIX METALLOPROTEINASES INHIBITORS FOR PREVENTIVE TREATMENT OF GENERALIZED PERIODONTITIS by S.O. Titovska

“…It should be noted that the differences between the base and comparison groups were most observed for patients with gingivitis and generalized periodontitis of initial stage without destructive processes in periodontal tissues. It suggests the greatest effectiveness of the proposed treatment in the early stages of pathological process. …”
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Adaptive Personalized Ankle-Foot-Orthosis: 3D Printing and On-Site Carbon Fiber Reinforcement for Tailored Stiffness by Janna Krummenacker, Ulrich Blass, Nicole Motsch-Eichmann, Joachim Hausmann

“…The current manufacturing process of ankle-foot orthoses (AFOs) allows for little post-processing and subsequent patient customization. …”
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Efficiently Hiding Sensitive Itemsets with Transaction Deletion Based on Genetic Algorithms by Chun-Wei Lin, Binbin Zhang, Kuo-Tung Yang, Tzung-Pei Hong

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NMS-KSD: Efficient Knowledge Distillation for Dense Object Detection via Non-Maximum Suppression and Feature Storage by Suho Son, Byung Cheol Song

“…The inefficiency refers to the computational cost incurred during the process of passing input data to the teacher model to acquire its knowledge. …”
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Understanding Software Defect Prediction Through eXplainable Neural Additive Models by Ruiqi He, Yong Li, Chi Sun

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A Hybrid Image Registration for Large Global and Non-Linear Local Deformed Images by Issa W. AlHmoud, Balakrishna Gokaraju, Marwan Bikdash

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A Dual-Template Prompted Mutual Learning Generative Model for Implicit Aspect-Based Sentiment Analysis by Zhou Lei, Yawei Zhang, Shengbo Chen

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Methods for Cognitive Diagnosis of Students’ Abilities Based on Keystroke Features by Xu Chi, Xinyu Guo, Yu Sheng

“…The K-means++ algorithm was adopted to determine the initial clustering centers, the elbow method was used to determine the number of clusters, and an outlier processing algorithm was introduced. We have independently constructed a keystroke dataset for computer-based programming examinations and used it to verify our method. …”
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Design and virtual implementation of a biomedical registry framework for the enhancement of clinical trials: colorectal cancer example by Athanasios Kotoulas, George Lambrou, Dimitrios-Dionysios Koutsouris

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Environmental sustainability indicators applied to bioprocesses: a bibliometric analysis (2005–2024) by Anibal Alviz-Meza, Segundo Rojas-Flores, Ángel Darío González-Delgado

“…The need to incorporate quantitative, qualitative, and descriptive indicators that comprehensively capture the environmental impacts of biotechnological processes led us to compile thirty diversified indices. …”
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Archaeology of the military orders in Castilla-La Mancha and the virtual reconstruction of its heritage by Jaime García Carpintero López de Mota, David Gallego Valle

“…In this process, a lot of questions about several aspects appears, and we must try to find responses. …”
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Kidney Disease Segmentation and Classification Using Firefly Sigma Seeker and MagWeight Rank Techniques by Dilovan Asaad Zebari

“…This automated diagnostic process facilitates the early detection of kidney disease by identifying any abnormalities or signs of disease. …”
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LEVERAGING DIGITAL SOLUTIONS FOR NEW ENERGY SYSTEMS MODELLING AND OPTIMISATION by Angela Solano, Arash Behrang, Juan Montelongo, Raul Cota, Victor Manuel Rodriguez De Vecchis, Valentina Gonzalez Perez

“…To overcome these challenges, the paper introduces an integrated "pore-to-process" workflow, which unifies reservoir simulation with process simulation platforms into a single, cohesive framework. …”
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Excluded-Mean-Variance Neural Decision Analyzer for Qualitative Group Decision Making by Ki-Young Song, Janusz Kozinski, Gerald T. G. Seniuk, Madan M. Gupta

“…The key idea of this proposed approach is to compute the excluded mean of individual evaluations and weight it by applying a variance influence function (VIF); this process of weighting the excluded mean by VIF provides an improved result in the group decision making. …”
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Dual-modal edible oil impurity dataset for weak feature detection by Huiyu Wang, Qianghua Chen, Jianding Zhao, Liwen Xu, Ming Li, Ying Zhao, Qinpei Zhao, Qin Lu

“…Abstract Edible oil may be mixed with tiny solid impurities like raw material fragments, hair, metal fragments and etc. during the production and manufacturing process. For food safety reasons, these tiny impurities need to be detected in the quality control process. …”
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Loading of anionic surfactant on eco-friendly biochar and its applications in Cr(VI) removal: adsorption, kinetics, and reusability studies by Azza M. Shaker, Mohamed Khedawy, Abeer A. Moneer, Nabila M. El-Mallah, Mohamed S. Ramadan

“…The pseudo-second-order kinetic model best described the removal process, according to the kinetic data, while the Temkin model, one of the applicable adsorption isotherm models, well expressed the adsorption process. …”
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Applicability and Design Considerations of Chaotic and Quantum Entropy Sources for Random Number Generation in IoT Devices by Wieslaw Marszalek, Michał Melosik, Mariusz Naumowicz, Przemysław Głowacki

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DeepDTAGen: a multitask deep learning framework for drug-target affinity prediction and target-aware drugs generation by Pir Masoom Shah, Huimin Zhu, Zhangli Lu, Kaili Wang, Jing Tang, Min Li

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ANALISIS PROSES BERPIKIR KOMPUTASI SISWA PADA MATERI BARISAN ARITMETIKA BERDASARKAN KECERDASAN MAJEMUK by Rosevita Melati, Toto Nusantara, Mochammad Hafiizh

“…This study aims to describe the process of computational thinking in arithmetic sequences based on multiple intelligences. …”
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