Designing and Validating the Model of Damages and Crimes Related to Cryptocurrencies in Iranian law by Nazanin Abbaspoor ekder, Ahmad Ramezani, Mohammad amin Maleki

“…In order to analyze the problem, qualitative research strategy and thematic analysis were used. The research data were collected by means of semi - standard interviews with 12 experts in the field of corruption and related crimes who were selected using theoretical sampling method and it was rebuilt by applying the theme analysis method of the network type of the analyzed themes and the conceptual model of network measurement. …”
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Tilt-induced changes in f-wave characteristics during atrial fibrillation: an experimental and computational investigation by Mostafa Abdollahpur, Chiara Celotto, Chiara Celotto, Carlos Sánchez, Carlos Sánchez, Felix Plappert, Sten Östenson, Pyotr G. Platonov, Pablo Laguna, Pablo Laguna, Esther Pueyo, Esther Pueyo, Frida Sandberg

“…Various levels of cholinergic stimulation by acetylcholine and β-adrenergic stimulation by isoproterenol were tested in the models. The temporal modulation of acetylcholine, representing changes associated with respiration, was cyclically modeled using sinusoidal waveforms.ResultsAnalysis of the clinical data showed a decrease in Ff from B to HDT and an increase from HDT to HUT. …”
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Interior and Climate Modeling of the Venus Zone Planet TOI-2285 b by Emma L. Miles, Colby Ostberg, Stephen R. Kane, Ondrea Clarkson, Cayman T. Unterborn, Tara Fetherolf, Michael J. Way, Sadie G. Welter

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Cislunar Communication Performance and System Analysis With Uncharted Phenomena by Selen Gecgel Cetin, Angeles Vazquez-Castro, Gunes Karabulut Kurt

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FLAME-GPU for Traffic Systems: A Scalable Agent-Based Simulation Framework by Maxim Smilovitskiy, Sedar Olmez, Paul Richmond, Robert Chisholm, Peter Heywood, Alvaro Cabrejas, Sven van den Berghe, Sachio Kobayashi

“…By modelling individuals as autonomous agents within a dynamic environment, ABM enables the exploration of system behaviours and the evaluation of interventions at various spatiotemporal resolutions. …”
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Prediction models for intraventricular hemorrhage in very preterm infants: a systematic review by Ping Xiong, Yonggang Wei, Lei Li, Houxin Kang, Zhangbin Yu, Hong Tang, Yuanlin Pu

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Development of a model for improving an automated information system based on flexible reengineering by S. G. Menyuk, V. V. Dyadichev, G. R. Bilenko

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Hydrogen Cost and Carbon Analysis in Hollow Glass Manufacturing by Dario Atzori, Claudia Bassano, Edoardo Rossi, Simone Tiozzo, Sandra Corasaniti, Angelo Spena

“…This study examines a representative hollow glass plant and develops various decarbonization scenarios through detailed process simulations in Aspen Plus. The models provide consistent mass and energy balances, enabling the quantification of energy demand and key cost drivers associated with H₂ integration. …”
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Economic and Statistical Modelling of Production Processes in the Regions of the Arctic Zone of the Russian Federation by Sergey V. Baranov, Tatiana P. Skufina

“…At the first stage, the analysis of correlations between GRP and factors of production was carried out, on the basis of which the AZRF regions were divided into three groups: 1) regions in which the mutual behavior of the main factors of production (labor and capital) fits into the generally accepted concepts (the Russian Federation as a whole, the Nenets Autonomous Okrug, the Yamalo-Nenets Autonomous Okrug, the Republic of Sakha (Yakutia)); 2) regions in which the mutual behavior of the main factors of production does not fit into the classical concepts: there is a sufficiently strong positive relationship with only one of the factors of production (the Arkhangelsk Oblast, the Krasnoyarsk Krai, the Komi Republic); 3) regions for which there is no sufficiently strong positive relationship between GRP and factors of production (the Murmansk Oblast, the Republic of Karelia, the Chukotka Autonomous Okrug). …”
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Bridging human emotion processing and deep neural networks: insights from representational similarity analysis by Lu Nie, Ke Chen, Yue Li, Yonghong Tian, Yixuan Ku

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A network security situation prediction method based on hidden Markov model by Xiong ZHAN, Hao GUO, Peng ZHANG, Shu MAO

“…Aiming at the dynamic and real-time characteristics of network security situation prediction,a network security situation prediction model based on hidden Markov model（HMM）was designed.According to the HMM,the situation in t+1 from t time can be calculated.Meanwhile,the maximum entropy algorithm was combinated with HMM to improve the accuracy rate.The analysis and simulation experiments show that the method has the characteristics of autonomous learning and active defense,and it also balance the speed and accuracy.…”
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Evaluation of Different Generative Models to Support the Validation of Advanced Driver Assistance Systems by Manasa Mariam Mammen, Zafer Kayatas, Dieter Bestle

“…Their performance is assessed with respect to their ability to generate realistic and diverse trajectories for the cut-in scenario using qualitative analysis, quantitative metrics, and statistical analysis. …”
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Evaluation of Prediction Performances of Deep Learning Models for the Aerodynamic Characteristics of Flettner Rotors by Seo Janghoon, Park Jung Yoon, Ma Juhwan, Kim Young Bu, Park Dong-Woo

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Parameter efficient multi-model vision assistant for polymer solvation behaviour inference by Zheng Jie Liew, Ziad Elkhaiary, Alexei A. Lapkin

“…This dataset informed the development of a multi-model vision assistant, integrating computer vision and vision-language approaches to autonomously detect, infer, and contextualise polymer–solvent interactions. …”
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APPLICATION OF MODELS OF INFORMATION AND ANALYTICAL SUPPORT SYSTEMS FIRE FIGHTING RESCUE UNITS by O. I. Stepanov, S. A. Khudyakova

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Triphasic CT Radiomics Model for Preoperative Prediction of Hepatocellular Carcinoma Pathological Grading by Huang H, Pan X, Zhang Y, Yang J, Chen L, Zhao Q, Huang L, Lu W, Deng Y, Huang Y, Ding K

“…Logistic regression and support vector machine (SVM) classifiers were employed to develop individual phase-specific models and a triphasic fusion model. Model performance was evaluated through the area under the curve (AUC), sensitivity, specificity, decision curve analysis, and other metrics.Results: The triphasic fusion model demonstrated superior performance. …”
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Neural network-based segmentation model for breast cancer X-ray screening by N. I. Rozhkova, P. G. Roitberg, A. A. Varfolomeeva, M. M. Mazo, A. N. Dobrenkii, D. S. Blinov, E. V. Sushkov, O. N. Deryabina, A. I. Sokolov

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A Study on the Impact of Obstacle Size on Training Models Based on DQN and DDQN by Lu Siyu, Tao Ye, Zeng Junwei, Zuo Qihuan

“…This paper presents a comparative analysis of Deep Q-Network (DQN) and Double Deep Q-Network (DDQN) algorithms in a simulated car racing environment, focusing on how variations in obstacle density affect each algorithm’s learning and trajectory planning, with the goal of enhancing adaptability and safety in autonomous driving systems. …”
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iPSC-modelling reveals genetic associations and morphological alterations of oligodendrocytes in schizophrenia by Man-Hsin Chang, Jan Benedikt Waldeck, Marius Stephan, Nirmal Kannaiyan, Valéria de Almeida, Emanuel Boudriot, Temmuz Karali, Lukas Röll, Laura Fischer, Damianos Demetriou, Nadia Gabellini, Sabrina Galinski, Andrea Schmitt, Sergi Papiol, Daniel Keeser, Peter Falkai, Moritz J. Rossner, Florian J. Raabe

“…Although imaging and postmortem studies also provide evidence for white matter alterations with implications of the oligodendroglial lineage in SCZ, it is unclear whether these disturbances are a secondary consequence of neuronal deficits or also, at least in parts, genetically driven and cell-autonomous. Using human induced pluripotent stem cells (hiPSCs) in combination with gene set enrichment analysis, we investigated the cellular impact of SCZ genetics on the oligodendroglial lineage. …”
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Analysis and comparison of the trends in burden of spinal cord injury in China and worldwide from 1990 to 2021: an analysis of the global burden of disease study 2021 by Hao Qin, Yuhang Diao, Mingyu Hao, Zhitan Wang, Minghao Xie, Xiaojun Hu, Tao Zhu

“…BackgroundSpinal cord injury (SCI) is a globally prevalent neurological condition, often resulting in motor, sensory, and autonomic dysfunctions that lead to permanent disability. …”
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