Evaluation of Chat Generative Pre-trained Transformer and Microsoft Copilot Performance on the American Society of Surgery of the Hand Self-Assessment Examinations by Taylor R. Rakauskas, BS, Antonio Da Costa, BS, Camberly Moriconi, BS, Gurnoor Gill, BA, Jeffrey W. Kwong, MD MS, Nicolas Lee, MD

“…Purpose: Artificial intelligence advancements have the potential to transform medical education and patient care. The increasing popularity of large language models has raised important questions regarding their accuracy and agreement with human users. …”
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Myocardial revascularization effects on vascular endothelial growth factor and transforming growth factor β-1 in coronary heart disease patients by I. V. Sergienko, A. E. Semenova, V. P. Masenko, L. I. Habibullina, S. A. Gabrusenko, V. V. Kukharchuk, Yu. N. Belenkov

“…To assess the dynamics of vascular endothelial growth factor (VEGF), transforming growth factor-beta (TGF- 1) and VEGF receptor Flt-1 (sFlt-1 or sVEGF-R1) levels in coronary heart disease (CHD) patients before and after myocardial revascularization. …”
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Sociological Analysis of Transformations in the Family Structure in Iran over the Past Five Decades (1966-2016) and Prediction of Its Future Trends by Mohammad Taghi Sabzehei, Milad Bagi, Mohammad Mobaraki, Javad Afsharkohan

“…Materials and MethodsThis study employed a mixed-methods approach, integrating both quantitative and qualitative analyses to investigate transformations in the family structure in Iran over the past five decades (1966-2016). …”
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Attenuated immune surveillance during squamous cell transformation of pancreatic adenosquamous cancer defines new therapeutic opportunity for cancer interception by Jie Chen, Xianlong Chen, Xinyuan Chen, Shanyue Sun, Shuofeng Li, Shuangni Yu

“…Therefore, this study aims to analyze the immune landscape of PASC by employing multiplex immunohistochemistry (mIHC) and digital image analysis.Methods In this study, we analyzed four independent cohorts comprising 120 patients with PASC and 386 patients with PDAC. …”
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A kernel-free boundary integral method for reaction-diffusion equations by Yijun Chen, Yaning Xie

“…The resulting linear system was treated with a fast Fourier transform (FFT)-based elliptic solver, and the BIEs were iteratively solved by the generalized minimal residual (GMRES) method. …”
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Effect of Extraction Methods on Physicochemical and Functional Properties of Nannochloropsis Proteins by Suyan HUANG, Rong CAO, Nan LIU, Yong SUN, Deqing ZHOU, Shanshan WANG

“…Nannochloropsis freeze-thawed extraction protein (NFP), Nannochloropsis enzyme-assisted extraction protein (NEP) and Nannochloropsis alkali extraction protein (NAP) were extracted from the Nannochloropsis powder by using freeze-thawed salt precipitation method, enzyme-assisted extraction method and alkali dissolution acid precipitation method, respectively. …”
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THERMAL REACTION OF AN INFINITE PLATE WITH HEAT EXCHANGE ON ONE OF THE BOUNDARIES by I. A. Dzhemesyuk, F. V. Ponomarev

“…The problem is solved with the method of integral transformations. Analytical solution is obtained; graphs characterising the process for different media are constructed.…”
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Implementation of Efficient Artificial Neural Network Data Fusion Classification Technique for Induction Motor Fault Detection by Altaf S., Mehmood M. S., Imran M.

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Schizophrenia detection from electroencephalogram signals using image encoding and wrapper-based deep feature selection approach by Utathya Aich, Arghyasree Saha, Marcin Woźniak, Muhammad Fazal Ijaz, Pawan Kumar Singh

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A Direct Attitude Determination Approach Based on GPS Double-Difference Carrier Phase Measurements by Jianhua Cheng, Jing Wang, Lin Zhao

“…This contribution presents a new approach of attitude determination, in which the attitude angles are calculated by the double-difference carrier phase equation of GPS according to the relationship of attitude matrix and attitude angles through least-squares estimate method. …”
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Experimental Study on Combustion and Vibration Characteristics of Low-Speed Marine Diesel Engine Fuelled with Biodiesel by Gang Wu, Yuan Yuhao, Jiang Guohe, Guo Hao, Zhang Zhe

“…Vibration changes in the high-frequency band (1.9-2.5 kHz) might stem from knocking or mechanical impacts, with vibration characteristics showing nonlinear patterns across different blend ratios. This study’s application of the CWT method to low-speed engine vibration analysis offers theoretical and experimental support for optimising biodiesel use in ship power systems and new ideas for combustion state monitoring and fault diagnosis based on vibration signals.…”
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CLASSES OF ARRAYS WITH INDEX NON-OVERLAPPING COMPONENTS AND METHODS OF THEIR FORMING by I. P. Kadiev, P. A. Kadiev

“…The concept of crossing or non-crossing sets with objects of different nature. The principles, which give the transformed arrays properties that increase the efficiency of information technology. …”
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Deep learning-based classification of dementia using image representation of subcortical signals by Shivani Ranjan, Ayush Tripathi, Harshal Shende, Robin Badal, Amit Kumar, Pramod Yadav, Deepak Joshi, Lalan Kumar

“…The time series is converted to image representations using continuous wavelet transform (CWT) and fed as input to deep learning models. …”
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The Creation, Analysis and Applications of τ-Σ Chart in the Pulsed Neutron Attenuation by KANG Xiaoquan, HU Youliang, FAN Leyuan, LIU Houwu, FU Xin, TIAN Jian

“…A field data of pulsed neutron instrument are processed, and the difference of results and processing steps between the traditional method and τ-Σ chart is analyzed. …”
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An Interpretable Method for Anomaly Detection in Multivariate Time Series Predictions by Shijie Tang, Yong Ding, Huiyong Wang

“…Our method transforms the interpretation of anomalous features into solving an optimization problem in a normal “reference” state. …”
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Human Action Recognition Method Based on Multi-channel Fusion by Zhiyong TAO, Xijun GUO, Xiaokui REN, Ying LIU, Zemin WANG

“…In this challenging context, innovative algorithms and model designs are crucial for addressing differences in CSI features between various actions and enhancing the model’s generalization ability and robustness.Method This study explores human actions’ physical and MIMO transmission characteristics, proposing a deep learning-based human action recognition method that employs a dual attention mechanism and a multi-channel, multi-scale fusion temporal convolution network to address the above challenges. …”
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Fault Types and Diagnostic Methods of Manipulator Robots: A Review by Yuepeng Zhang, Jun Wu, Bo Gao, Linzhong Xia, Chen Lu, Hui Wang, Guangzhong Cao

“…Previous reviews have tended to focus on a single type of fault, such as analysis of reducers or joint bearings, which has led to a lack of comprehensive summary of various methods for manipulator robot fault diagnosis. Considering the needs of future research, a review of different fault types and diagnostic methods of manipulator robots provides readers with a clearer reading experience and reveals potential challenges and opportunities. …”
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The Intelligent Sizing Method for Renewable Energy Integrated Distribution Networks by Zhichun Yang, Fan Yang, Yu Liu, Huaidong Min, Zhiqiang Zhou, Bin Zhou, Yang Lei, Wei Hu

“…Then, a multi-objective planning model of the network structure is established, and the weighted coefficient transformation method is used to convert reliability benefits and investment costs into the total cost of power supply per unit load. …”
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Group method analysis of two-dimensional plate in heat flux by Mina B. Abd-el-Malek, Fayez H. Michael, Samy M. A. El-Mansi

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Application of big data method in forecasting the risk of tariff recovery by Yadi ZHAO, Zhao WU, Qingbing LI, Xiaofeng CHEN, Baoting WANG

“…Based on the historical data of electricity customers,the model index system was determined according to the customers’ basic attributes,the electricity consumption and the payment behavior,the customers’ credit,the industry prospects’ information and so on.Through the correlation coefficient matrix and the information value of the index,the index variables that enter the model were selected.At the same time,the best grouping method was used to group variables and WOE (weight of evidence) transformation was carried out.Based on the processed data,the logic regression algorithm were used to construct the electricity cost risk forecasting model of the electric customers,and output variable standard score card was quantified according to the model results.Thus the customers were divided into high,middle and low risk users that could provide the basis for taking differential marketing measures to the different customers.…”
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