Comparing self-assessment and instructor ratings: a study on communication and interviewing skills in psychology student training by Mats Najström, Martin Oscarsson, Ingrid Ljunggren, Jonas Ramnerö

“…These were reviewed in small groups, with both students and instructors rating the interviews using the same instrument. The process was repeated after one week. …”
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Network optimization by regional computing for UAVs' big data by Afzal Badshah, Ali Daud, Omar Ibrahim Aboulola, Amal Bukhari, Bader Alshemaimri, Hussain Dawood

“…Simulation results demonstrate that the RC layer reduces end-to-end processing delays by approximately 80%, lowers operational costs by up to 5× compared to cloud computing, and achieves lower task failure rates relative to edge computing. …”
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Pilot-Aided Simultaneous Communication and Localisation (PASCAL) Under Practical Imperfections by Shuaishuai Han, Mohammad Al-Jarrah, Emad Alsusa

“…To assess localisation performance under gain-phase imperfections, the average Cramér-Rao lower bound (CRLB) is derived, while the average sum data rate (SDR) for UAV communication is obtained in closed form. …”
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STUDY OF HYDROMETEOROLOGICAL CONDITIONS IN THE WATERWORKS DESIGN ON THE ABIN RIVER IN THE KRASNODAR TERRITORY by Alexander А. Tkachev, Ruslan A. Karabashev, Viktor A. Nevdakh, Vladimir E. Chulkov

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Preliminary Study on the Total Carbon, Organic Carbon Content, and Degradation Rates of Shells in Filter-Feeding Shellfish by Duyu CHEN, Jihong ZHANG, Wei SUN, Yi LIU, Wenguang WU, Xue GONG, Bing LI

“…This study aims to accurately quantify the carbon content of shells and understand the degradation rates of shell carbon, providing fundamental data for deeper investigation into the role of shellfish in marine carbon sequestration.The following six species of filter-feeding bivalves were collected from Sanggou Bay in September 2022: Mytilus edulis, Chlamys farreri, Patinopecten yessoensis, Crassostrea gigas, Ruditapes philippinarum, and Scapharca subcrenata. …”
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Flight Performance Analysis of an Image Processing Algorithm for Integrated Sense-and-Avoid Systems by Lidia Forlenza, Giancarmine Fasano, Domenico Accardo, Antonio Moccia

“…Cameras are used as auxiliary sensors to the radar, in order to increase intruder aircraft position measurement, in terms of accuracy and data rate. The paper thoroughly describes the selection and customization of the developed image-processing techniques in order to guarantee the best results in terms of detection range, missed detection rate, and false-alarm rate. …”
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Retracted: Face Recognition Attendance System Based on Real-Time Video Processing by Hao Yang, Xiaofeng Han

“…By analyzing the situation of these problems, the concept of attendance system based on face recognition technology is proposed, and the research on face recognition attendance system based on real-time video processing is carried out. Experimental data shows that the accuracy rate of the video face recognition system is up to 82%. …”
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What Makes Leadership Training Work? – A Process Evaluation by Anders Pousette, Martin Grill

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Wastewater-based epidemiology: deriving a SARS-CoV-2 data validation method to assess data quality and to improve trend recognition by Cristina J. Saravia, Peter Pütz, Christian Wurzbacher, Anna Uchaikina, Jörg E. Drewes, Ulrike Braun, Claus Gerhard Bannick, Nathan Obermaier

“…Subsequently, we scrutinised statistical outliers in several standard quality control parameters (QCP) that are routinely collected during the analysis process such as the flow rate, the electrical conductivity, or surrogate viruses like the pepper mild mottle virus. …”
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The Underlying Cognitive Processes of Thin Slices Judgments on Teaching Quality by Konstantin Vinokic, Lukas Begrich, Mareike Kunter, Susanne Kuger

“…The accuracy of thin slices ratings is often explained by dual process theories of social cognition, whereby System 1 refers to an intuitive and fast way of processing, while System 2 denotes a more reflective and analytical way of processing. …”
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The privacy cost of fine-grained electrical consumption data by Antonin Voyez, Tristan Allard, Gildas Avoine, Pierre Cauchois, Elisa Fromont, Matthieu Simonin

“…Abstract The collection of electrical consumption time series through smart meters grows with ambitious nationwide smart grid programs. This data is both highly sensitive and highly valuable: strong laws about personal data protect it while laws about open data aim at making it public after a privacy-preserving data publishing process. …”
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Anomaly-aware summary statistic from data batches by G. Grosso

“…The resulting data hypothesis defining the likelihood-ratio test is thus shared over the batches, and complies with the assumption that the expected rate of new physical processes is time invariant. …”
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Prediction and optimization of robot processing technology based on neural network and genetic algorithm by Fusen WU

“…The optimal process parameter combination for material removal rate in stone processing is determined through BP neural network and genetic algorithm, and the relative error between the predicted value and the experimental value is relatively small.…”
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Data Reduction Method for Synthetic Transmit Aperture Algorithm by Piotr KARWAT, Ziemowit KLIMONDA, Michał SĘKLEWSKI, Marcin LEWANDOWSKI, Andrzej NOWICKI

“…The presented results of simulations and measurements with use of wire and tissue phantom prove that the proposed data reduction technique reduces the amount of data to be processed by half, while maintaining resolution and allowing only a small decrease of SNR and contrast of resulting images.…”
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Process and outcomes of ivory-related trials in Kenya, 2016–2019 by Andrew Halliday, Shamini Jayanathan, Paula Kahumbu, Jim Karani, Mary Morrison

“…Data was collected by legal interns who visited courts and perused case records. …”
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Potato Processing Waste as a Reservoir of Bioactive Hydroxycinnamates: A Critical Review by Dimitris P. Makris

“…Potatoes are the second largest food crop after cereals, and there is an overwhelming amount of waste derived from potato tuber processing, composed almost exclusively of peels. Potato peels (PPs) are considered a source of polyphenolic compounds, largely represented by chlorogenic acid and other structurally related hydroxycinnamates, which possess a spectrum of bioactivities; however, there is a lack of analytical data compilations that could be of assistance in pertinent studies. …”
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Technique for Defining the Optimal Parameters of Moving Window at Vibration Accelerometer Signal Processing by Roman Fedoryshyn, Vasyl Lymych, Volodymyr Zagraj, Oleh Masniak

“…The impact of the time signal sampling rate on the frequency spectrum shape has been studied.…”
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Online Asynchronous Learning over Streaming Nominal Data by Hongrui Li, Shengda Zhuo, Lin Li, Jiale Chen, Tianbo Wang, Jun Tang, Shaorui Liu, Shuqiang Huang

“…Specifically, OALN is grounded in three core principles: (1) It utilizes a Gaussian mixture copula in the latent space to preserve class structure and numerical relationships, thereby addressing the encoding and relational learning challenges posed by mixed feature types. (2) It performs adaptive imputation through conditional covariance matrices to seamlessly handle random missing values and feature drift, while incrementally updating copula parameters to accommodate dynamic changes in the feature space. (3) It incorporates a model pool and hint mechanism to efficiently process asynchronous label feedback. We evaluate OALN on twelve real-world datasets; the average cumulative error rates are 23.31% and 28.28% under the missing rates of 10% and 50%, respectively, and the average AUC scores are 0.7895 and 0.7433, which are the best results among the compared algorithms. …”
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Machine Learning-Assisted Optimization of Femtosecond Laser-Induced Superhydrophobic Microstructure Processing by Lifei Wang, Yucheng Gu, Xiaoqing Tian, Jun Wang, Yan Jia, Junjie Xu, Zhen Zhang, Shiying Liu, Shuo Liu

“…Three additional dimensional variables, i.e., the number of effective pulses, energy deposition rate, and roughness, were also added to the original dataset vectors as extra dimensions to participate in and guide the model training process. …”
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Detection of external defects on potatoes by hyperspectral imaging technology and image processing method by Su Wenhao, Liu Guishan, He Jianguo, Wang Songlei, He Xiaoguang, Wang Wei, Wu Longguo

“…Potato external defects were identified through image processing methods, such as threshold segmentation, corrosion, expansion and connectivity analysis.The result showed that the recognition rate of all the seven potato types achieved 82.50% using principal component analysis method of the characteristic wavelengths, however, it was found up to 96.43% using image subtraction algorithm combined with principal component analysis method, indicating that the latter can more accurately identify the defective area.In sum, this image processing method based on hyperspectral image can effectively identify the external defects on potatoes, which can realize the accurate and fast classification of potatoes in the process of actual processing and has a great application prospect in the future.…”
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