Peptide Receptor Radionuclide Therapy Using ⁹⁰Y- and ¹⁷⁷Lu-DOTATATE Modulating Atherosclerotic Plaque Inflammation: Longitudinal Monitoring by ⁶⁸Ga... by German Rubinstein, Harun Ilhan, Peter Bartenstein, Sebastian Lehner, Marcus Hacker, Andrei Todica, Mathias Johannes Zacherl, Maximilian Fischer

“…<b>Conclusions:</b> The ascending aorta could present a future reference for estimating generalized atherosclerotic inflammatory processes. …”
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Lagrangian Modelling and Motion Stability of Synchronous Generator-based Power Systems by Feng Ji, Lu Gao, Chang Lin

“…Compared with the traditional EMTP model in PSCAD, the obtained Lagrangian model is able to accurately describe the electromagnetic transient process of the system. Moreover, the Lagrangian model is analytical, which enables the analysis of the motion stability of the system using Lyapunov&#x0027;s motion stability theory. …”
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An ensemble deep learning framework for multi-class LncRNA subcellular localization with innovative encoding strategy by Wenxing Hu, Yan Yue, Ruomei Yan, Lixin Guan, Mengshan Li

“…Abstract Background Long non-coding RNA (LncRNA) play pivotal roles in various cellular processes, and elucidating their subcellular localization can offer crucial insights into their functional significance. …”
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Microplastics in agricultural soils: sources and microbial remediation approaches by Nataliia Tkachuk, Liubov Zelena, Yaroslav Novikov

“…Given the complex and multifaceted nature of the research topic, a complex of general scientific methods was used to achieve the research goal: analytical, synthetic, hermeneutic, pragmatic, generalization. …”
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Visual explanation method for reversible neural networks by Xinying MU, Bingbing SONG, Fanxiao LI, Yisen ZHENG, Wei ZHOU, Yunyun DONG

“…The issue of model explainability has gained significant attention in understanding the vulnerabilities and anonymous decision-making processes inherent in deep neural networks (DNN).While there has been considerable research on explainability for traditional DNN, there is a lack of exploration on the operation mechanism and explainability of reversible neural networks (RevNN).Additionally, the existing explanation methods for traditional DNN are not suitable for RevNN and suffer from issues such as excessive noise and gradient saturation.To address these limitations, a visual explanation method called visual explanation method for reversible neural network (VERN) was proposed for RevNN.VERN leverages the reversible property of RevNN and is based on the class-activation mapping mechanism.The correspondence between the feature map and the input image was explored by VERN, allowing for the mapping of classification weights of regional feature maps to the corresponding regions of the input image.The importance of each region for model decision-making was revealed through this process, which generates a basis for model decision-making.Experimental comparisons with other explanation methods on generalized datasets demonstrate that VERN achieves a more focused visual effect, surpassing suboptimal methods with up to 7.80% improvement in average drop (AD) metrics and up to 6.05% improvement in average increase (AI) metrics in recognition tasks.VERN also exhibits an 82.00% level of localization for the maximum point of the heat value.Furthermore, VERN can be applied to explain traditional DNN and exhibits good scalability, improving the performance of other methods in explaining RevNN.Furthermore, through adversarial attack analysis experiments, it is observed that adversarial attacks alter the decision basis of the model.This is reflected in the misalignment of the model’s attention regions, thereby aiding in the exploration of the operation mechanism of adversarial attacks.…”
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Discriminative learning of receptive fields from responses to non-Gaussian stimulus ensembles. by Arne F Meyer, Jan-Philipp Diepenbrock, Max F K Happel, Frank W Ohl, Jörn Anemüller

“…Analysis of sensory neurons' processing characteristics requires simultaneous measurement of presented stimuli and concurrent spike responses. …”
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Broad-scale climate influences on spring-spawning herring (Clupea harengus, L.) recruitment in the Western Baltic Sea. by Joachim P Gröger, Hans-Harald Hinrichsen, Patrick Polte

“…Generalized transfer functions (ARIMAX models) allowed evaluating the dynamic nature of exogenous climate processes interacting with the endogenous recruitment process. …”
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Bird communities in the Dry Chaco of South America: vegetation structure and climate effects by Romina Cardozo, Ricardo B. Machado

“…Building on a unique, field-based bird community dataset, we used multivariate analysis and generalized linear models to test the effects of climate and vegetation structure on bird composition and richness in forest corridors. …”
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Investigation of new solitary stochastic structures to the Heisenberg ferromagnetic spin chain model via a Stratonovich sense by Md. Nur Alam

“…With the help of Maple, a robust computer algebra system, we generate generalized solitons and examine their dynamic behavior by exploring parameter values and their interrelations. …”
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The Creation of Artificial Data for Training a Neural Network Using the Example of a Conveyor Production Line for Flooring by Alexey Zaripov, Roman Kulshin, Anatoly Sidorov

“…As a tool-platform solution, the concept of digital twins for simulating technological processes was considered, within which synthetic data is utilized. …”
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Hybrid genetic algorithm for parametric optimization of surface pipeline networks in underground natural gas storage harmonized injection and production conditions by Jun Zhou, Zichen Li, Shitao Liu, Chengyu Li, Yunxiang Zhao, Zonghang Zhou, Guangchuan Liang

“…This paper proposes a hybrid genetic algorithm generalized reduced gradient (HGA-GRG) method, and compares it with the traditional genetic algorithm (GA) in a practical case study. …”
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The Formation of Artificial Data based on a Conveyor Enterprise by A. V. Zaripov, R. S. Kulshin, A. A. Sidorov

“…The research is devoted to the analysis and development of methods for generating artificial data in order to solve computer vision problems that arise during the operation of conveyor-type technological lines. …”
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Multiscale modeling of metal-hydride interphases—quantification of decoupled chemo-mechanical energies by Ebert Alvares, Kai Sellschopp, Bo Wang, ShinYoung Kang, Thomas Klassen, Brandon C. Wood, Tae Wook Heo, Paul Jerabek, Claudio Pistidda

“…Abstract The quantification of interphase properties between metals and their corresponding hydrides is crucial for modeling the thermodynamics and kinetics of the hydrogenation processes in solid-state hydrogen storage materials. …”
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Modern defining characteristics of innovative development of the ukrainian economy: theoretical and practical aspects by Олена Ястремська, Людмила Малярець, Олеся Ястремська, Ігор Бараннік

“…To solve the tasks, the following methods were used: theoretical generalization, analysis, synthesis, induction, deduction, structural and logical analysis, systemic and situational approaches, economic and statistical analysis, correlation analysis, multivariate regression analysis, graphical method. …”
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Modern defining characteristics of innovative development of the ukrainian economy: theoretical and practical aspects by Olena Iastremska, Lyudmyla Malyarets, Olesia Iastremska, Igor Barannik

“…To solve the tasks, the following methods were used: theoretical generalization, analysis, synthesis, induction, deduction, structural and logical analysis, systemic and situational approaches, economic and statistical analysis, correlation analysis, multivariate regression analysis, graphical method. …”
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The role of judicial authorities in criminal proceedings for political crimes in the Stalinist period: modern historiography by Alexander Ya. Kodintsev

“…A lot of research has accumulated for 70 years, which need to be generalized and systematized. Three of the PhD thesis, dedicated to the repression of the state security organs, five theses on the mass repressions, 14 theses on the camps during the war were defended during 1990-2010 years in SiberiaThe Russian-French seminars "Judicial political processes in the USSR and Communist countries of Europe: a comparative analysis of mechanisms and practices", held in 2009-2011, played an important role in summarizing the main problems of legal proceedings in political cases.Modern science continues to study various aspects of the application of criminal procedure for counter-revolutionary crimes. …”
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Volatility Modelling of the Johannesburg Stock Exchange All Share Index Using the Family GARCH Model by Israel Maingo, Thakhani Ravele, Caston Sigauke

“…The models for volatility were fitted using five unique error distribution assumptions, including Student’s <i>t</i>, its skewed version, the generalized error and skewed generalized error distributions, and the generalized hyperbolic distribution. …”
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Modern Approaches to Enteral Nutrition in Intensive Care by M. M. Potskhveriya, Yu. S. Goldfarb, V. A. Matkevich, A. A. Ryk

“…The analysis of the literature data allowed us to establish that today enteral nutrition (EN) is unanimously recognized by specialists as the preferred method of nutritional therapy, which significantly affects the course of critical conditions (CC). …”
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Current research and future prospects of air pollutant and CO2 emission inventories in the iron and steel industry by Xin XU, Wanyue SHAN, Zheng ZHANG, Qing WANG, Xin BO

“…Traditionally, emission inventories have relied on generalized emission factors for estimating emissions. …”
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Ostwald Ripening of the InAsSbP/InAs(100) Quantum Dots in the Framework of the Modified LSW Theory by B.V. Ivanskii, R.D. Vengrenovich, V.I. Kryvetskyi, Yu.M. Kushnir

“…The analysis of quantum dots (QD) growth in InAsSbP/InAs (100) structure at the stage of Ostwald ripening (OR) is carried out in the frames of generalized LSW theory. …”
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