Lessons learned from an fMRI-guided rTMS study on performance in a numerical Stroop task. by Lysianne Beynel, Hannah Gura, Zeynab Rezaee, Ekaete C Ekpo, Zhi-De Deng, Janet O Joseph, Paul Taylor, Bruce Luber, Sarah H Lisanby

“…Contrary to our assumption, the classical reaction time analysis did not show any superiority of active rTMS over sham, probably due to confounds such as potential cumulative rTMS effects, and the effect of practice. …”
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Fast Simulation and Chaos Investigation of a DC-DC Boost Inverter by Rachid Dhifaou, Houda Brahmi

“…Performance of the developed study is positively evaluated by using classical simulations and fine-tuning a bifurcation parameter to detect chaos. …”
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EBV-Negative Monomorphic B-Cell Posttransplant Lymphoproliferative Disorder with Marked Morphologic Pleomorphism and Pathogenic Mutations in ASXL1, BCOR, CDKN2A, NF1, and TP53 by Agata M. Bogusz

“…Histological examination revealed marked pleomorphism of the malignant cells including nodular areas reminiscent of classical Hodgkin lymphoma (cHL) with abundant large, bizarre Hodgkin-like cells. …”
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Food Sales Prediction Using MLP, RANSAC, and Bagging by Hussam Mezher Merdas, Ayad Hameed Mousa

“…Therefore, this study proposes a model based on two objectives, the first objective is to make a comparison between three different food sales datasets. the second objective is to apply three various Artificial Intelligence algorithms to obtain the best algorithm that gives the highest prediction accuracy with the specified dataset. Some studies used classical machine learning algorithms, some used deep learning algorithms, and others used ensemble techniques. …”
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RECEPTION OF THE BIOGRAPHICAL METHOD IN HISTORICAL AND ANTHROPOGICAL STUDIES by T. I. Vlasova, G. G. Krivtchik

“…Consideration of the biographical method in historical and anthropological studios carried out in the course of the general theoretical "renaissance" of classical humanitarianism, which is largely due to the uncertainty and ambiguity of theoretical discourses and discursive practices of postmodernism, pose to the researcher a number of new tasks. …”
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Exponential function LMS and fractional order pid based voltage power quality enhancement in distribution network by Prashant Kumar, Sabha Raj Arya

“…The proposed FOPID have five gain values to adjust the voltage oscillations and integrated with Tyrannosaurus optimization to reduce the computation effort and achieves the superior performance over classical PI with a settle time, peak overshoot, undershoot of 0.15 s, 2.45 % and 5.7 % respectively. …”
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A Review on Inverse Kinematics, Control and Planning for Robotic Manipulators With and Without Obstacles via Deep Neural Networks by Ana Calzada-Garcia, Juan G. Victores, Francisco J. Naranjo-Campos, Carlos Balaguer

“…Two alternatives exist to do this: a controller can be designed that computes the best action for each moment given the manipulator’s state, or a sequence of movements can be planned to be executed by the robot. Classical approaches to all these problems, such as numeric or analytical methods, can produce precise results but take a high computation time and do not always converge. …”
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INTERNATIONAL LEGAL AND PUBLIC ASPECTS OF CO-OPERATION BETWEEN STATE BODIES OF THE REPUBLIC OF BELARUS AND THE RUSSIAN FEDERATION IN THE SPHERE OF CURRENCY CONTROL UNDER PUBLIC RES... by Denis A. Chistyakov

“…The article employs classical methods of research for legal science. The main emphasis is on the analysis of legal literature, texts of international conventions, and normative legal acts. …”
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Thermal Emission of Alkali Metal Ions from Al30-Pillared Montmorillonite Studied by Mass Spectrometric Method by V. B. Motalov, N. S. Karasev, N. L. Ovchinnikov, M. F. Butman

“…After a long heating-up period, this anomaly disappears and the lnj-1/T dependence acquires a classical linear form. The results are interpreted from the point of view of the dependence of the efficiency of thermionic emission on the phase transformations of pillars.…”
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The Story of a Thing: A Frame-Analytic Perspective on a Biographical Approach to Materiality by U. S. Semovskikh, D. R. Davletov

“…The article focuses on the integration of a frame-analytic approach into the research field of the biography of material objects, whose main representatives were originally situated in classical anthropology and archaeology. The main aim of the article is the introduction of a sociological perspective to the study of the history of things. …”
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Strategic Project «Creative City – Territory of Development» as a Model of Interaction between Flagship University and Region by Tatyana V. Ashutova, Zoia Yu. Zhelnina

“…The discussion about the productivity of classical and project solutions in professional training programs determined the advantage of creative projects of students to present their competencies not only to potential employers, but also to other stakeholders in the development of the region. …”
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Sacred Bonds or Sinful Ties? Interreligious Marriage in Islamic Law by Rafli Zidan Eka Ramadhan, Rohadhatul Aisy, Shofriya Qonitatin Abidah, Fateema Muslihatun Najihah, Bagus Hendradi Kusuma

“…This study examines the theological, legal, and sociocultural foundations of the prohibition on interreligious marriage in Islam. By analyzing classical Islamic jurisprudence alongside modern legal and human rights perspectives, this paper explores how these restrictions impact Muslim communities today and whether evolving interpretations can accommodate interfaith unions in pluralistic societies. …”
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The Evolution of Price Competition Game on Complex Networks by Feng Jie Xie, Jing Shi

“…In this work, we study the game from a new theoretical perspective—an evolutionary game on complex networks. Three classic network models, square lattice, WS small-world network, and BA scale-free network, are used to describe the competitive relations among the firms which are bounded rational. …”
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Robust Prediction of Healthcare Inflation Rate With Statistical and AI Methods in Iran by Mohammad Javad Shaibani, Ali Akbar Fazaeli

“…Using monthly time series data of HCIR in Iran, we developed various forecasting techniques based on classical smoothing methods, decomposition ETS (error, trend, and seasonality) approaches, autoregressive (AR) integrated moving average (ARIMA), seasonal ARIMA (SARIMA), and a multilayer nonlinear AR artificial neural network (NARANN) with several training algorithms including Bayesian regularization (BR), Levenberg–Marquardt (LM), scaled conjugate gradient (SCG), Broyden–Fletcher–Goldfarb–Shanno (BFGS) quasi-Newton, conjugate gradient with Powell–Beale restarts (CGB), conjugate gradient with Fletcher–Reeves updates (CGF), and resilient propagation (RPROP) algorithms. …”
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Situational analysis on porcine diseases of priority to pig industry: methods for biosecurity improvement in the Russian Federation holdings by A. S. Oganesyan, M. A. Shibayev, O. N. Petrova, N. Ye. Baskakova, A. K. Karaulov

“…Based on the discussion results, automation and digitalization of all processes in pig industry, generation of genetically modified pigs not susceptible to the most significant pathogens such as African swine fever, classical swine fever, porcine reproductive and respiratory syndrome viruses and their use for production purposes, further research and implementation of integrated technological solutions for feed sanitation have been concluded to be the evolutionarily significant ways for effective pig farming intensification in the Russian Federation.…”
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Adaptive Gaussian Incremental Expectation Stadium Parameter Estimation Algorithm for Sports Video Analysis by Lizhi Geng

“…Through quantitative and qualitative evaluation of the experimental results, it is verified that the algorithm proposed in this paper has stronger robustness compared with other classical algorithms. Our proposed visual object tracking algorithm not only outperforms existing visual object tracking algorithms in terms of accuracy, success rate, accuracy, and robustness but also achieve the performance required for real-time tracking in terms of execution speed on the central processing unit (CPU). …”
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Monte Carlo Algorithm For Matrices in Solving Systems of Linear Equations, Determinants, Inverse, Eigen Values, and Eigenvectors. by Bamwine, Delik

“…On the other hand, many classical, deterministic numerical linear algebra algorithms have difficulty scaling to handle large data sets. …”
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The Prevalence of Enteric Viruses in Bivalve Molluscs in a Farming Area in Liguria, Northwest Italy by Chiara Masotti, Laura Serracca, Erica Costa, Barbara Betti, Aitor Garcia-Vozmediano, Elisabetta Suffredini, Roberta Battistini

“…The aim of the study was to investigate the presence of classical and emerging pathogenic enteric viruses in oysters (<i>Crassostrea gigas</i>) and mussels (<i>Mytilus galloprovincialis</i>) from a mollusc farming area in the northwest of Italy, between April 2022 and March 2023. …”
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Performance prediction and optimization of a high-efficiency tessellated diamond fractal MIMO antenna for terahertz 6G communication using machine learning approaches by Kamal Hossain Nahin, Jamal Hossain Nirob, Akil Ahmad Taki, Md Ashraful Haque, Narinderjit Sawaran SinghSingh, Liton Chandra Paul, Reem Ibrahim Alkanhel, Hanaa A. Abdallah, Abdelhamied A. Ateya, Ahmed A. Abd El-Latif

“…Leveraging a meta learner-based stacked generalization ensemble strategy, this study integrates classical machine learning techniques with an optimized multi-feature stacked ensemble to predict antenna properties with greater accuracy. …”
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Development of an Innovative Magnetorheological Gearbox for Positioning Control and Anti-Disturbance of a Robotic Arm by Yuyang Zhang, Shuaishuai Sun, Lei Deng, Guorui Wang, Rui Yu, Weihua Li, Xinglong Gong, Shiwu Zhang, Haiping Du, Jian Yang

“…A characterization test was then conducted to verify its variable damping property. The classic Bouc–Wen model was used to describe the MR gearbox and then a mathematical model was established for the whole robotic arm. …”
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