Gait ecological assessment in persons with Parkinson’s disease engaged in a synchronized musical rehabilitation program by A. Bourdon, L. Damm, D. Dotov, P. Ihalainen, S. Dalla Bella, B. G. Bardy, V. Cochen De Cock

“…We demonstrated that real-world walking with BeatMove exhibited improved gait parameters both within and across sessions. …”
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Energy Waste as a Side-Effect of Photovoltaic Development: Net Impact of Photovoltaics on CO₂ Emissions in European Union Countries by Bożena Gajdzik, Radosław Wolniak, Rafał Nagaj, Brigita Žuromskaitė-Nagaj, Wiesław Grebski

“…Data sources are Eurostat and Our World In Data. The analysis will be carried out for the majority of EU countries, excluding the smallest countries whose data may distort the overall results. …”
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The Isosteroid Alkaloid Imperialine from Bulbs of Fritillaria cirrhosa Mitigates Pulmonary Functional and Structural Impairment and Suppresses Inflammatory Response in a COPD-Like... by Dongdong Wang, Qingdan Du, Houcong Li, Shu Wang

“…Chronic obstructive pulmonary disease (COPD) is the third leading cause of death in the world. Present therapies for COPD have limited effect on reducing the progression of COPD and suppressing the inflammatory response in the lung. …”
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New Evidence for the Contemporary Presence of Juvenile White Sharks (<i>Carcharodon carcharias</i>) in the Adriatic Sea by Patrick L. Jambura, Pero Ugarković, Mišo Pavičić, Ilija Ćetković, Simone Niedermüller, Jürgen Kriwet, Julia Türtscher

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Intelligent energy management in IoT-enabled smart homes: Anomaly detection and consumption prediction for energy-efficient usage by Laviza Falak Naz, Rohail Qamar, Raheela Asif, Saman Hina, Muhammad Imran, Saad Ahmed

“…Results will therefore show that our approach performs best in optimally utilizing resources, minimizing waste, and improving energy consumption. …”
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Management issues of preschool and education institutions (municipal context) by Nana Rusadze, Nana Shonia

“…In a global world, early childhood education and training is a means of promoting equity and social justice, inclusive economic growth and sustainable development. …”
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A Synergy of Convolutional Neural Networks for Sensor-Based EEG Brain–Computer Interfaces to Enhance Motor Imagery Classification by Souheyl Mallat, Emna Hkiri, Abdullah M. Albarrak, Borhen Louhichi

“…This advancement offers significant promise for enhancing the efficacy and versatility of BCIs in a wide range of real-world applications, from assistive technologies to neurorehabilitation, thereby providing robust solutions for individuals with motor disabilities.…”
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Behavioral Biases and Regional Diversity: An In-Depth Analysis of Their Influence on Investment Decisions - A SEM & MICOM Approach by Muzzamil Rehman, Babli Dhiman, Ngoc-Diep Nguyen, Rajesh Dogra, Anjali Sharma

“…Understanding the interplay between behavioral biases and regional disparities allows for the development of region-specific financial products and advice, better aligning investment strategies with the unique needs and risk tolerance of investors from different parts of the world. …”
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Correlation feature and instance weights transfer learning for cross project software defect prediction by Quanyi Zou, Lu Lu, Shaojian Qiu, Xiaowei Gu, Ziyi Cai

“…Instead, this work proposes a dual weighting mechanism to aid the learning process, considering both feature transferring and instance transferring. In our method, a local data gravitation between source and target domains determines instance weight, while features that are highly correlated with the learning task, uncorrelated with other features and minimizing the difference between the domains are rewarded with a higher feature weight. …”
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Digitalization of government organizations: an empirical study of strategic factors of H.R. resources by Lili Khamiliyah, Agus Rahayu, Puspo Dewi Dirgantari, Lili Adi Wibowo, Eko Susanto

“…These findings not only enhance our understanding of digitalization in government but also validate existing technology adoption theories. …”
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Enhancing depression recognition through a mixed expert model by integrating speaker-related and emotion-related features by Weitong Guo, Qian He, Ziyu Lin, Xiaolong Bu, Ziyang Wang, Dong Li, Hongwu Yang

“…Abstract The World Health Organization predicts that by 2030, depression will be the most common mental disorder, significantly affecting individuals, families, and society. …”
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Chronological Analysis of Climate Change and an Overview of Nuclear Energy by Nergin Günay, Sevilay Hacıyakupoğlu

“…The greatest threat to humanity on a global scale in the twenty-first century is climate change. To keep our planet habitable, actions that will have a positive impact on climate change must be put into effect all over the world. …”
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Deep weighted survival neural networks to survival risk prediction by Hui Yu, Qingyong Wang, Xiaobo Zhou, Lichuan Gu, Zihao Zhao

“…Experimental results have demonstrated that our proposed approach has significant advantages (improved about 5%) in real-world medical scenarios, outperforming state-of-the-art comparison methods by a large margin. …”
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An optimized ensemble grey wolf-based pipeline for monkeypox diagnosis by Ahmed I. Saleh, Asmaa H. Rabie, Shimaa E. ElSayyad, Ali E. Takieldeen, Fahmi Khalifa

“…Abstract As the world recovered from the coronavirus, the emergence of the monkeypox virus signaled a potential new pandemic, highlighting the need for faster and more efficient diagnostic methods. …”
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An optimisation for a two‐round good‐case latency protocol by Kexin Hu, Zhenfeng Zhang, Kaiwen Guo, Weiyu Jiang, Xiaoman Li, Jiang Han

“…A highly efficient Byzantine broadcast protocol, motivated by the real‐world performance of practical state machine replication protocols, is increasingly needed. …”
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Some Novel Cosine Similarity Measures Based on Complex Hesitant Fuzzy Sets and Their Applications by Ronnason Chinram, Tahir Mahmood, Ubaid Ur Rehman, Zeeshan Ali, Aiyared Iampan

“…CHFS is the mixture of hesitant fuzzy set (HFS) and CFS, which handles the complex and uncertain information in real-world issues which is compared with fuzzy sets and complex fuzzy sets. …”
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A large-scale risk assessment and classification model for pneumococcus using Finnish national health data by Viljami Männikkö, Juha Turunen, Heidi Åhman, Esa Harju

“…We analyzed health data from 96,200 Finnish residents with risk factors for pneumococcal disease following guidelines from the Finnish Institute for Health and Welfare and the World Health Organization. We prioritize vaccination for those at the greatest risk by categorizing individuals based on their identified risk factors. …”
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Toward medical test recommendation from optimal attribute selection perspectives: a backward reasoning approach by Nengjun Zhu, Jieyun Huang, Jian Cao, Liang Hu, Siji Zhu

“…Finally, extensive experiments on real-world medical data validate the effectiveness of our approach, and some interesting observations are also provided.…”
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Energy Storage Systems - Energizing the Future: A Review by Ravi Adarsh, Rajkumar Jayakumar Kiran, Perumal Azhahia Padmanabha Pillai Thanumalaya

“…We are facing an energy deficit as a result of our growing energy demand [1]. In addition, with traditional energy sources depleting rapidly, solar and wind power have emerged as the primary alternatives for renewable energy. …”
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A New Construction Method for Rectangular Cartograms by Lina Wang, Haoxun Yuan, Xiang Li, Pengfei Lu, Yaru Li

“…Finally, by comparing the results of our algorithm with those of existing algorithms using real-world data with varying distribution characteristics, we demonstrate its effectiveness. …”
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