Motor Cortical Networks for Skilled Movements Have Dynamic Properties That Are Related to Accurate Reaching by David F. Putrino, Zhe Chen, Soumya Ghosh, Emery N. Brown

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A Systematic Approach to Portfolio Optimization: A Comparative Study of Reinforcement Learning Agents, Market Signals, and Investment Horizons by Francisco Espiga-Fernández, Álvaro García-Sánchez, Joaquín Ordieres-Meré

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Quantum and complex-valued hybrid networks for multi-principal element alloys phase prediction by Shaochun Li, Yutong Sun, Lu Xiao, Weimin Long, Gang Wang, Junzhi Cui, Jingli Ren

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Securing consensus in fractional-order multi-agent systems: Algebraic approaches against Byzantine attacks by Yubin Zhong, Asad Khan, Muhammad Awais Javeed, Hassan Raza, Waqar Ul Hassan, Azmat Ullah Khan Niazi, Muhammad Usman Mehmood

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: deep delensing assisted likelihood-free inference from CMB polarization maps by Kai Yi, Yanan Fan, Jan Hamann, Pietro Liò, Yu Guang Wang

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Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm by Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, Ehab M. Almetwally, Marwa M. Eid, El-Sayed M. El-Kenawy

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Multicomponent Stress–Strength Reliability with Extreme Value Distribution Margins: Its Theory and Application to Hydrological Data by Rebeca Klamerick Lima, Felipe Sousa Quintino, Melquisadec Oliveira, Luan Carlos de Sena Monteiro Ozelim, Tiago A. da Fonseca, Pushpa Narayan Rathie

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Electroencephalogram Emotion Recognition via AUC Maximization by Minheng Xiao, Shi Bo

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Fast Global Minimization of the Chan–Vese Model for Image Segmentation Problem by Ran Gao, Li-Zhen Guo

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Assessing Overall Performance of Sports Clubs and Decomposing into Their On-Field and Off-Field Efficiency by Don Galagedera, Joan Tan

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Unfolding the potential of the ARIMA model in forecasting maize production in Tanzania by Joseph Lwaho, Bahati Ilembo

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Narrowing the gap between machine learning scoring functions and free energy perturbation using augmented data by Ísak Valsson, Matthew T. Warren, Charlotte M. Deane, Aniket Magarkar, Garrett M. Morris, Philip C. Biggin

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Enhancing Cluster Accuracy in Diabetes Multimorbidity With Dirichlet Process Mixture Models by Francis John Kita, Srinivasa Rao Gaddes, Peter Josephat Kirigiti

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Estimation of the Hubble constant using Gaussian process regression and viable alternatives by Samuel Zammit, David Suda, Fiona Sammut, Jackson Levi Said

“…This work investigates different statistical methods for estimating this value using cosmic chronometer, type Ia supernova and baryonic acoustic data. …”
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An EEG-based framework for automated discrimination of conversion to Alzheimer’s disease in patients with amnestic mild cognitive impairment: an 18-month longitudinal study by Yingfeng Ge, Jianan Yin, Caie Chen, Shuo Yang, Yuduan Han, Chonglong Ding, Jiaming Zheng, Yifan Zheng, Jinxin Zhang

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Dynamic Output Feedback Stabilization of Controlled Positive Discrete-Time Systems with Delays by Zhenbo Li, Shuqian Zhu

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Bundesliga team values: Deciphering the impact of performance and economics. by Efehan Ulas, Christian Deutscher

“…Despite experiencing a dip during the COVID-19 pandemic, football remains a robust multi-billion-euro industry. The accurate prediction of team values holds immense significance for teams, investors, and other stakeholders. …”
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Kernel Sliced Inverse Regression: Regularization and Consistency by Qiang Wu, Feng Liang, Sayan Mukherjee

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Internal Control Systems And Cash Flow Management In Commercial Banks In Rwanda. by Wandira, Ronald, Moses, Agaba, Rugasira, Jack

“…The analysis of the correlation between cash flow management practices and control activities reveals a robust and statistically significant positive relationship. …”
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Validation and psychometric properties of the Depression Anxiety Stress Scale for Youth in Chinese adolescents by Jian Jiang, Jian Jiang, Jianhua Chen, Zhifeng Lin, Xuwei Tang, Zhijian Hu

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