Parkinson’s Disease Gravity Index: A Method by means of Optimal Scaling by Marcos Serrano-Dueñas, Luis Masabanda, Maria-Rosario Luquin

“…Results. There were no missing data. An appropriate Cronbach’s alpha value of 0.71 was gathered, and all items were found to be pertinent to the scale. …”
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Modelling of non-scheduled air transportation time series based on ARIMA by N. B. Aghayev, D.  Sh. Nazarli

“…In this paper, the use of the ARIMA (Auto Regressive Integrated Moving Average) model for forecasting non-scheduled air transportation is explored. …”
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Artificial Intelligence (AI)-Based simulators versus simulated patients in undergraduate programs: A protocol for a randomized controlled trial by Youness Zidoun, Abdelmoniem EL Mardi

“…Results will guide decisions regarding integrating AI-based simulators into healthcare education and training programs. …”
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Trust-aware privacy-preserving QoS prediction with graph neural collaborative filtering for internet of things services by Weiwei Wang, Wenping Ma, Kun Yan

“…To tackle these issues, we propose TPP-GNCF, a trust-aware privacy-preserving QoS prediction framework that integrates graph neural networks with collaborative filtering methods. …”
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Complete electroweak $$\mathcal {O}\left( N_c^2\right) $$ O N c 2 two-loop contributions to the Higgs boson masses in the MSSM and aspects of two-loop renormalisation by Henning Bahl, Daniel Meuser, Georg Weiglein

“…These corrections are expected to constitute the dominant part of the two-loop corrections that were still missing up to now. As a consequence of working at $$\mathcal {O}\left( N_c^2\right) $$ O N c 2 , the relevant two-loop self-energies decompose into products of one-loop integrals, giving rise to a transparent analytical structure of the self-energies. …”
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Malnutrition and tuberculosis: the gap between basic research and clinical trials by Norma A Tellez-Navarrete, Lucero A Ramon-Luing, Marcela Muñoz-Torrico, Ivan Armando Osuna-Padilla, Leslie Chavez-Galan

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FEBE-Net: Feature Exploration Attention and Boundary Enhancement Refinement Transformer Network for Bladder Tumor Segmentation by Chao Nie, Chao Xu, Zhengping Li

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Edge-Guided Feature Pyramid Networks: An Edge-Guided Model for Enhanced Small Target Detection by Zimeng Liang, Hua Shen

“…This paper introduces a novel model that integrates edge characteristics with multi-scale feature fusion, named Edge-Guided Feature Pyramid Networks (EG-FPNs). …”
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True Polar Wander Driven by Artificial Water Impoundment: 1835–2011 by N. Valencic, E. Speiser, E. Doi, E. T. Lee, B. Ford, A. Hatzius, D. Komaravalli, B. Erdmann, W. Hawley, J. X. Mitrovica

“…We adopt a recent global database of water impoundment that accounts for 72% of an integrated global volume estimate and compute the associated TPW path from 1835 to 2011 CE. …”
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Enhancing circular economy project outcomes via molecular fuzzy-based decision support system by Gang Kou, Serhat Yüksel, Hasan Dinçer, Serkan Eti, Gabriela Oana Olaru, Ümit Hacıoğlu

“…A novel decision-making model is proposed by integrating the Q-learning algorithm, molecular fuzzy sets, cognitive maps, and the Molecular ranking (MORAN) technique. …”
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A photovoltaic power forecasting method based on the LSTM-XGBoost-EEDA-SO model by Ying Xu, Xinrong Ji, Zhengyang Zhu

“…To enhance forecasting precision, this paper proposes a hybrid framework integrating signal decomposition, parallel forecasting, and weight optimization. …”
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Combating electricity fraud: Employing hybrid learning and computer vision for sustainable energy management by Jui-Sheng Chou, Nader Anwar Charaf, Dani Nugraha Limantono, Hoang-Minh Nguyen

“…This paper presents an integrated approach that utilizes a comprehensive dataset, encompassing all customer energy consumption records. …”
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Research on the Key Issues of Big Data Quality Management, Evaluation, and Testing for Automotive Application Scenarios by Yingzi Wang, Ce Yu, Jue Hou, Yongjia Zhang, Xiangyi Fang, Shuyue Wu

“…After experimental verification, this method can effectively detect the integrity of the data transmission process and improve the application of data value, and the final effect is increased by 30.5%.…”
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Adaptive Symmetry Self-Matching for 3D Point Cloud Completion of Occluded Tomato Fruits in Complex Canopy Environments by Wenqin Wang, Chengda Lin, Haiyu Shui, Ke Zhang, Ruifang Zhai

“…In order to address the problem of missing point cloud data on fruits in a facility agriculture environment due to complex canopy structure, leaf shading and limited collection viewpoints, the traditional geometric fitting method makes it difficult to restore the real morphology of fruits due to the dependence on data integrity. …”
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Entropy and spectrum of near-extremal black holes: semiclassical brane solutions to non-perturbative problems by Sergio Hernández-Cuenca

“…Abstract The black hole entropy has been observed to generically turn negative at exponentially low temperatures T ~ e − S 0 $$ T\sim {e}^{-{S}_0} $$ in the extremal Bekenstein-Hawking entropy S 0, a seeming pathology often attributed to missing non-perturbative effects. In fact, we show that this negativity must happen for any effective theory of quantum gravity with an ensemble description. …”
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Support Vector Machine – Recursive Feature Elimination for Feature Selection on Multi-omics Lung Cancer Data by Nuraina Syaza Azman, Azurah A Samah, Ji Tong Lin, Hairudin Abdul Majid, Zuraini Ali Shah, Nies Hui Wen, Chan Weng Howe

“…In this study, the LUSC datasets first undergo data pre-processing, including checking for missing values, normalization, and removing zero variance features. …”
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Advanced Multi-Scale CNN-BiLSTM for Robust Photovoltaic Fault Detection by Xiaojuan Zhang, Bo Jing, Xiaoxuan Jiao, Ruixu Yao

“…These features are then integrated by an adaptive feature fusion network that utilizes multi-head attention. …”
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Implementing Image Processing for Quality Inspection of Car Air Conditioning Vents by Hong Zhuang Yuan, Kamarul Hawari Ghazali, Adyanata Lubis, Sunardi Sunardi, Budi Yanto, Samra Urooj Khan

“…To overcome these limitations, this study proposes an automated quality inspection system using image processing techniques to detect defects such as missing parts and scratches. Using MATLAB, the system integrates image acquisition, enhancement, segmentation, and defect analysis for consistent and accurate inspection. …”
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Comparative Analysis of Fracturing Definitions in Boreholes and Underground Workings by Vassilyi Portnov, Nazym Askarova, Vladislav Medvedev, Serhii Vyzhva, Vitalii Puchkov, Gulnara Dosetova, Tatyana Kryazheva, Galiya Rakhimova

“…The analysis is based on core drilling data and measurements from underground workings, including an old mine that was explored and investigated to gather missing information. The spatial characteristics of fractures and their relationship with tectonic faults are identified. …”
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Understanding interrelationships between AI and digital public infrastructure (DPI) in India and Brazil by Amrita Sengupta, Alexandre Costa Barbosa, Mila T. Samdub

“…We suggest two broad frames—AI for DPI, and DPI for AI—and examine the frameworks that integrate AI and DPI. We also point to some emergent risks and future considerations that countries and their policymakers need to take into account when considering interactions between AI and DPI. …”
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