Neurophysiological Approaches to Lie Detection: A Systematic Review by Bewar Neamat Taha, Muhammet Baykara, Talha Burak Alakuş

“…Combining advanced signal processing methods with machine learning and deep learning classifiers significantly improves performance. …”
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Memoryscapes of the Great War (1914-1918): A paradigm shift in tourism research on war heritage by Myriam Jansen-Verbeke, Wanda George

“…Research on the process of tourismification of former war sites and landscapes is by definition interdisciplinary. …”
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Enhancing chemical reaction search through contrastive representation learning and human-in-the-loop by Youngchun Kwon, Hyunjeong Jeon, Joonhyuk Choi, Youn-Suk Choi, Seokho Kang

“…Contrastive learning is used to train a representation model that embeds records in the reaction database as numerical vectors suitable for chemical reaction searches. Dimensionality reduction is applied to compress these vectors, thereby enhancing the search efficiency. …”
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Unconventional twinning assisted by pyramidal II stacking faults by Yang Hu, Dennis M. Kochmann

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Same data, different results? Machine learning approaches in bioacoustics by Kaja Wierucka, Derek Murphy, Stuart K. Watson, Nikola Falk, Claudia Fichtel, Julian León, Stephan T. Leu, Peter M. Kappeler, Elodie F. Briefer, Marta B. Manser, Nikhil Phaniraj, Marina Scheumann, Judith M. Burkart

“…We offer guidelines for processing and analysing mammalian vocalisations, fostering greater comparability and advancing our understanding of the evolutionary significance of acoustic communication in diverse mammalian species.…”
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Dataset of observables for small modular lead-cooled fast reactor MOX spent nuclear fuelMendeley Data by Victor J. Casas-Molina, Pablo Romojaro, Gwennaelle Nourry, Gert Van den Eynde, Luca Fiorito, Ivan Merino-Rodríguez, Tom Dhaene, Ivo Couckuyt

“…This data article introduces a comprehensive dataset of isotopic mass densities, spanning 152 nuclides present in irradiated LFR-MOX fuel, additionally providing insights into fuel characteristics such as activity, decay heat rates, photon emission rates, spontaneous fission rates, and radiotoxicity values across various decay steps.Using the Serpent2 Monte Carlo code for fuel depletion calculations, and processed with SerpentTools, the dataset captures inventory data as a function of reactor power, fuel burnup, plutonium vector in the fresh MOX, and decay time at the end of irradiation, enabling analyses of SNF properties. …”
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Machine learning applications in risk management: Trends and research agenda [version 2; peer review: 2 approved, 1 approved with reservations] by Erica Agudelo-Ceballos, Diana Marleny Ramírez-Ramírez, Ezequiel Martínez Rojas, Julio Leyrer Henríquez, Aarón José Alberto Oré León, Jesus Alberto Jimenez Garcia, Alejandro Valencia-Arias

“…Key terms include random forest, support vector machines (SVM), and credit risk assessment, while terms such as prediction, postpartum depression, big data, and security emerge as new areas of study. …”
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Unusual topological polar texture in moiré ferroelectrics by Yuhao Li, Yuanhao Wei, Ruiping Guo, Yifei Wang, Hanhao Zhang, Takashi Taniguchi, Kenji Watanabe, Yan Shi, Yi Shi, Chong Wang, Zaiyao Fei

“…Abstract Topological polar textures in ferroelectrics have attracted significant interest for their potential applications in energy-efficient and high-density data storage and processing. Among these, polar merons and antimerons are predicted in strained and twisted bilayers of inversion symmetry broken systems. …”
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A Two-Stage Feature Selection Approach for Fruit Recognition Using Camera Images With Various Machine Learning Classifiers by Tri Tran Minh Huynh, Tuan Minh Le, Long Ton That, Ly Van Tran, Son Vu Truong Dao

“…Fruit and vegetable identification and classification system is always necessary and advantageous for the agriculture business, the food processing sector, as well as the convenience shops and hypermarkets where these products are sold. …”
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Human spinal cord activation during filling and emptying of the bladder by Kofi A. Agyeman, Darrin J. Lee, Aidin Abedi, Sofia Sakellaridi, Evgeniy I. Kreydin, Jonathan Russin, Yu Tung Lo, Kevin Wu, Wooseong Choi, Sumant Iyer, V. Reggie Edgerton, Charles Y. Liu, Vassilios N. Christopoulos

“…Abstract The spinal cord is essential for processing sensory information and regulating autonomic functions, such as bladder control, which is critical for urinary continence and voiding. …”
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A 100-degree lithospheric magnetic field model constructed using MSS-1, Swarm-A, and CHAMP satellite data by JiaXuan Zhang, Yan Feng, Pan Zhang, YuXuan Lin, XinWu Li, Ya Huang

“…Subsequently, orbit-by-orbit processing was applied to both scalar and vector data, such as spherical harmonic high-pass filtering, singular spectrum analysis, and line leveling, to suppress noise and residual signals along the satellite tracks. …”
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Fault Section Identification for Hybrid Transmission Lines Considering the Weak-Feed Characteristics of Floating Photovoltaic Power Plant Inverters by Huiqiang Ye, Lifeng Zhu, Weifeng Xu, Fangzhou Liu, Xinbo Liu, Yi Xu, Qianggang Wang

“…Then, the transmission, refraction, and reflection processes of traveling waves in OHL–cable hybrid lines are analyzed, and a traveling wave energy criterion is designed to determine the fault section. …”
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Medium and short-term load forecasting based on NPMA-LSSVM algorithm in the case of unbalance and minority sample data by YANG Qiuyu, KUANG Shusen, ZHENG Xiaogang, YE Guoqi, ZHANG Zhongxin

“…Finally, the least square support vector machine (LSSVM) load forecasting model is established, and the improved mayfly algorithm with nonlinear inertia factor and polynomial variation is used to optimize the model parameters to achieve accurate load forecasts. …”
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Rapid Nondestructive Detection of Welsh Onion, Onion, and Chinese Chives Seeds Based on Hyperspectral Imaging Technology by Sisi Zhao, Danqi Zhao, Jiangping Song, Huixia Jia, Xiaohui Zhang, Wenlong Yang, Haiping Wang

“…Four classification models, Partial Least Squares Discriminant Analysis (PLS-DA), Support Vector Machine (SVM), Random Forest (RF), and k-Nearest Neighbor (KNN), were used to classify seeds quickly and accurately. …”
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N-dimensional Lomb Scargle Periodogram analysis of traveling ionospheric disturbances using ionosonde data by Joe Hughes, Ian Collett, Anastasia Newheart, Ryan Kelly, Walter Junk Wilson, Ken Obenberger, Russell Landry, Jonah Colman, Joe Malins

“…The ND LSP resolves the full 3-dimensional wave vector as well as the period for many discrete TIDs. …”
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A comparative study of the microbiomes of the ticks Rhipicephalus microplus and Hyalomma anatolicum by Abbasi Adeel Mumtaz, Nasir Shiza, Bajwa Amna Arshad, Akbar Haroon, Ali Muhammad Muddassir, Rashid Muhammad Imran

“…Hyalomma anatolicum and Rhipicephalus microplus are tick species that are important vectors of numerous pathogens affecting both humans and livestock. …”
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Research on Rapid and Non-Destructive Detection of Coffee Powder Adulteration Based on Portable Near-Infrared Spectroscopy Technology by Fujie Zhang, Xiaoning Yu, Lixia Li, Wanxia Song, Defeng Dong, Xiaoxian Yue, Shenao Chen, Qingyu Zeng

“…Spectral data from adulterated coffee samples in the 900–1700 nm range were collected and processed using five preprocessing methods. For qualitative detection, the Support Vector Machine (SVM) algorithm was applied. …”
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Vaccine-induced immune thrombotic thrombocytopenia: definition, risks with different vaccines, and regulatory responses by S. V. Akinshina, V. O. Bitsadze, J. Kh. Khizroeva, K. N. Grigorieva, E. V. Slukhanchuk, M. V. Tretyakova, V. I. Tsibizova, I. Elalamy, J.-C. Gris, B. Brenner, E. Grandone, C. Ay, A. D. Makatsariya

“…After the vaccination campaign initiation in Europe and the UK, reports of rare cases of atypical thrombosis, including sinus vein thrombosis and splanchnic venous thrombosis, began to appear in association with the use of vector vaccines AstraZeneca (ChAdOx1) and Johnson & Johnson/Janssen. …”
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Investigation of oil palm fruit bunch ripeness classification using machine learning classifiers by Zulkhoiri Muhammad Arif, Ali Hasimah, Ahmad Zaidi Ahmad Firdaus, Mohd Kanafiah Siti Nurul Aqmariah, Jusman Yessi, Elshaikh Mohamed, Tuan Noor Tuan Muhammad Taufiq Aiman

“…The mean and standard deviation of colour-based features were then subjected to k-Nearest Neigbour (kNN) and Support Vector Machine (SVM) classifier utilizing two different strategies of hold-out and 10-fold cross-validation. …”
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Malicious Attack Correlation Analysis Method of Source-Grid-Load System under Specific Attack Scenarios by Rui ZHANG, Jiaxuan FEI, Congcong SHI, Xiaojian ZHANG, Xiuli HUANG, Qi WANG

“…Firstly, an attribute-based multi-source event fusion model is constructed to perform multi-source data fusion processing on abnormal events of cyber layer and electrical layer. …”
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