Detecting sources of anger in automated driving: driving-related and external factor by Jordan Maillant, Jordan Maillant, Christophe Jallais, Stéphanie Dabic

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Microplastics in aquatic ecosystems: Detection, source tracing, and sustainable management strategies by Baihui Wu, Haiyang Yu, Pengyu Lei, Jiaxuan He, Jia Yi, Wei Wu, Hanbing Wang, Qinsi Yang, Guoming Zeng, Da Sun

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Detecting Source Code Plagiarism in Student Assignment Submissions Using Clustering Techniques by Raddam Sami Mehsen, Majharoddin M. Kazi, Hiren Joshi

“…However, the extensive use of freeware text editors has posed challenges in detecting source code plagiarism. Numerous studies have investigated algorithms for revealing different types of plagiarism and detecting source code plagiarism. …”
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AI-Synthesized Image Detection: Source Camera Fingerprinting to Discern the Authenticity of Digital Images by Manisha, Chang-Tsun Li, Karunakar A. Kotegar

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Tracking algorithm when managing competitive activities of top level teams online based on computer visioncomputer vision by A. A. Polozov, N. A. Maltceva, G. S. Kramarenko, M. A. Lipilin, A. R. Akhmetzyanov

“…The authors used open implementations of the algorithms and wrote a convenient interface for conducting experiments on different datasets and detection sources.…”
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Developing a Dead Fish Recognition Model Based on an Improved YOLOv5s Model by Chengbiao Tong, Biyu Li, Jiting Wu, Xinming Xu

“…To address the challenges of low detection accuracy and high difficulty in dead fish identification due to water surface reflections, low contrast between targets and the environment, uncertain positions between detection sources and targets, and the impact of water mist blurriness, this paper proposes a dead fish recognition model named YOLO-DWM based on an improved YOLOv5s model. …”
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AstroSat/UVIT Far- and Near-UV Deep Field Around IC 4329A by Piyali Ganguly, Priyanka Rani, Gulab C. Dewangan

“…A large number of these detected sources were previously unknown. We performed astrometry and photometry on all detected sources. …”
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A Systematic Search for MeV–GeV Pulsar Wind Nebulae without Gamma-Ray Detected Pulsars by The Fermi-LAT Collaboration, A. Acharyya, A. Adelfio, M. Ajello, L. Baldini, J. Ballet, C. Bartolini, J. Becerra Gonzalez, R. Bellazzini, E. Bissaldi, R. Bonino, P. Bruel, R. A. Cameron, P. A. Caraveo, F. Casaburo, F. Casini, D. Castro, E. Cavazzuti, S. Ciprini, G. Cozzolongo, P. Cristarella Orestano, F. Cuna, S. Cutini, F. D’Ammando, D. Depalo, N. Di Lalla, A. Dinesh, L. Di Venere, A. Domínguez, J. Eagle, A. Fiori, Y. Fukazawa, S. Funk, P. Fusco, F. Gargano, C. Gasbarra, D. Gasparrini, S. Germani, F. Giacchino, N. Giglietto, M. Giliberti, F. Giordano, M. Giroletti, D. Green, I. A. Grenier, M.-H. Grondin, S. Guiriec, R. Gupta, A. K. Harding, M. Hashizume, E. Hays, J. W. Hewitt, D. Horan, X. Hou, T. Kayanoki, M. Kuss, A. Laviron, M. Lemoine-Goumard, A. Liguori, J. Li, I. Liodakis, P. Loizzo, F. Longo, F. Loparco, L. Lorusso, M. N. Lovellette, P. Lubrano, S. Maldera, D. Malyshev, G. Martí-Devesa, M. N. Mazziotta, I. Mereu, P. F. Michelson, N. Mirabal, T. Mizuno, P. Monti-Guarnieri, M. E. Monzani, A. Morselli, I. V. Moskalenko, N. Omodei, E. Orlando, D. Paneque, G. Panzarini, M. Persic, M. Pesce-Rollins, R. Pillera, T. A. Porter, G. Principe, S. Rainò, R. Rando, M. Razzano, A. Reimer, O. Reimer, M. Sánchez-Conde, P. M. Saz Parkinson, D. Serini, C. Sgrò, E. J. Siskind, G. Spandre, P. Spinelli, A. W. Strong, H. Tajima, J. B. Thayer, L. Tibaldo, D. F. Torres, J. Valverde, K. Wood, G. Zaharijas, W. Zhang

“…The remaining Fermi–LAT detected sources are considered weaker PWN candidates. …”
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Plagiarism types and detection methods: a systematic survey of algorithms in text analysis by Altynbek Amirzhanov, Cemil Turan, Alfira Makhmutova

“…We highlight notable works focusing on cross-language plagiarism detection, source code plagiarism, and intrinsic detection techniques, identifying their contributions and limitations. …”
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Distributed Super Nested Arrays: Reduce the Mutual Coupling between Array Antennas by Hongyong Wang, Weibo Deng, Ying Suo, Xin Zhang, Yanmo Hu, Xiaochuan Wu

“…The simulation results show that the distributed super nested arrays can effectively reduce the mutual coupling between the array antennas, improve the DOA estimation performance, and significantly increase the number of detectable source signals.…”
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Inspecting Instrument-Based Variability: Effects of Enriching Willingness to Communicate Questionnaire - A Mixed Methods Approach by روح اله ملکی, احمد محسنی, علی مالمیر

“…Then, it followed up with 12 purposefully selected typical respondents to explore those quantitative results in verbal protocol after each administration of original and enriched WTC questionnaire that detected source of variability due to purpose, place, visualization, age, gender, and personality of the interlocutors in the role-plays. …”
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Chandra Detects Low-luminosity Active Galactic Nucleus with MBH = 104–106 M⊙ in Nearby (z < 0.5) Dwarf and Star-forming Galaxies by Mainak Singha, Julissa Sarmiento, Sangeeta Malhotra, James E. Rhoads, L. Y. Aaron Yung, Junxian Wang, Zhen-Ya Zheng, Ruqiu Lin, Keunho Kim, Jialai Kang, Santosh Harish

“…The ratio of X-ray luminosity to star formation rate aligns with an anticorrelation with metallicity for most detected sources, pointing to ultraluminous X-ray sources as likely contributors. …”
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The role of audience design and goal bias in message generation: Evidence from Chinese source-goal motion events by Chen Zhao, Rui Xu, Tingting Sun

“…However, participants showed similar accuracy in detecting source changes, regardless of whether the sources were known to the addressee. …”
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High-frequency PCR-testing as a powerful approach for SARS-CoV-2 surveillance in the field of critical infrastructure: A longitudinal, retrospective study in a German tertiary care... by Bastian Fischer, Martin Farr, Jan Gummert, Cornelius Knabbe, Tanja Vollmer

“…The technology played a key role in detecting sources of infection at an early stage and therefore preventing larger outbreaks. …”
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Host galaxy identification of LOFAR sources in the Euclid Deep Field North by Laura Bisigello, Marika Giulietti, Isabella Prandoni, Marco Bondi, Matteo Bonato, Manuela Magliocchetti, Huub Rottgering, Leah, K. Morabito, Glenn, J. White

“…This comprehensive catalogue serves as a valuable resource for future research, enabling detailed investigations into the properties and evolution of LOFAR-detected sources and their host galaxies.…”
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Searching for Radio Pulsars in Old Open Clusters from the Parkes Archive by S. B. Zhang, J. J. Wei, X. Yang, S. Dai, J. S. Wang, L. Toomey, S. Q. Wang, G. Hobbs, X. F. Wu, L. Staveley-Smith

“…By comparing the measured dispersion measures (DMs) with the expected DM values for each cluster derived from YMW16 and NE2001 models, we conclude that most detected sources are likely background pulsars. However, RRAT J1749−25 in Theia 1661 and RRAT J1237−60 in Trumpler 20 have DMs reasonably close to their respective clusters, suggesting possible membership. …”
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Applications of machine learning in gravitational-wave research with current interferometric detectors by Elena Cuoco, Marco Cavaglià, Ik Siong Heng, David Keitel, Christopher Messenger

“…In data analysis, machine learning has already been applied as an alternative to traditional methods for signal detection, source localization, noise reduction, and parameter estimation. …”
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Multiepoch Observations of the Nearby Spiral Galaxy NGC 3938 with the Chandra X-Ray Observatory by Siddhi Raut, Eric M. Schlegel, Thomas G. Pannuti, Brannon W. Jones, Jacobo Matallana

“…We demonstrate that at the time of the Chandra observations the nucleus was not detected. We connect the detected sources to counterparts in other wavebands to the degree possible. …”
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Mid-infrared Ensemble Variability of Broad-line and Narrow-line Seyfert 1 Galaxies by Zhipeng Hu, Lisheng Mao

“…The MIR variability of the combined sample is positively correlated with black hole mass and the FWHM of the H β emission line at long rest-frame time lags. (4) The long-term MIR variability of the combined sample may be mainly driven by the Eddington ratio. (5) For BLSy1 galaxies, the MIR variability of radio-detected sources is greater than that of radio-undetected sources, whereas for NLSy1 galaxies, the opposite is true.…”
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A powerful molecular marker to detect mutations at sorghum LOW GERMINATION STIMULANT 1 by Adedayo O. Adeyanju, Patrick J. Rich, Gebisa Ejeta

“…The LGS1 marker is useful for both detecting sources of lgs1 and introgressing Striga resistance into new genetic backgrounds.…”
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