On-Road Driver Monitoring System Based on a Solar-Powered In-Vehicle Embedded Platform by Yen-Lin Chen, Chao-Wei Yu, Zi-Jie Chien, Chin-Hsuan Liu, Hsin-Han Chiang

“…Through the driver’s eye movements captured from the camera, the attention states of the driver can be determined and any fatigue states can be avoided. …”
Get full text

The icon of Ukrainian Nazis: on the question of the historical assessment of the «heroes» under the Protection of the Virgin Mary and their modern admirers by A. V. Sushko

“…In addition to the image itself, which became the reason for writing this article, the source for the study is the forensic investigative documentation of the Soviet state security agencies, during and after the end of the Great Patriotic War, interrogating captured employees of the German special services, Ukrainian nationalists and witnesses to their war crimes. …”
Get full text

Environmental influence and species occurrence of yellowjacket drones in an invaded area by Agustina P. Porrino, Maité Masciocchi, Andrés S. Martínez

“…Lastly, through mid-flight drone captures, we determined that both V. germanica and V. vulgaris drones are found concurrently in the same rendezvous areas. …”
Get full text

Applying Big Data Based Deep Learning System to Intrusion Detection by Wei Zhong, Ning Yu, Chunyu Ai

“…Particularly, the single deep learning model may not be effective to capture unique patterns from intrusive attacks having a small number of samples. …”
Get full text

Nuclear Fusion Pattern Recognition by Ensemble Learning by G. Farias, E. Fabregas, I. Martínez, J. Vega, S. Dormido-Canto, H. Vargas

“…In this paper, an innovative approach to perform an online classification, that is, to identify the discharge before it actually ends, using interpretable models is presented. …”
Get full text

Characterization and Prediction of the Ghana Stock Exchange Composite Index Utilizing Bayesian Stochastic Volatility Models by Osei K. Tweneboah, Kwesi A. Ohene-Obeng, Maria C. Mariani

“…The integration of these models highlights their robustness in capturing the intricate volatility patterns of the GSE-CI, making a compelling case for their applicability to similar financial markets in other emerging economies. …”
Get full text

QTFN: A General End-to-End Time-Frequency Network to Reveal the Time-Varying Signatures of the Time Series by Tao Chen, Yang Jiao, Lei Xie, Hongye Su

“…Nonstationary time series are ubiquitous in almost all natural and engineering systems. Capturing the time-varying signatures from nonstationary time series is still a challenging problem for data mining. …”
Get full text

Self-propelled ferroptosis nanoinducer for enhanced cancer therapy by Wenxin Xu, Hao Tian, Yanzhen Song, Hanfeng Qin, Junbin Gao, Yichi Chen, Weichang Huang, Lin Lin, Haixin Tan, Yicheng Ye, Xiaoting Zhang, Daniela A Wilson, Guang Yang, Fei Peng, Yingfeng Tu

“…The enhanced diffusion of proteomotors is then actuated by efficiently decomposing glucose into gluconic acid and H _2 O _2 , leading to deeper penetration and enhanced uptake into tumors. …”
Get full text

Factor Graph-Based Planning as Inference for Autonomous Vehicle Racing by Salman Bari, Xiagong Wang, Ahmad Schoha Haidari, Dirk Wollherr

“…We model the planning problem as a probabilistic inference over a factor graph, with factor nodes capturing the joint distribution of motion objectives. …”
Get full text

Analysis and Classification of Fake News Using Sequential Pattern Mining by M. Zohaib Nawaz, M. Saqib Nawaz, Philippe Fournier-Viger, Yulin He

“…The obtained patterns capture distinctive characteristics associated with fake or real news content, providing valuable insights into the underlying structures and commonalities of misinformation. …”
Get full text

The disappearing COVID-Naïve Population and comparative Roche vs. Abbott Test sensitivity: evidence from antibody seroprevalence in Milwaukee County, Wisconsin by Lorenzo Franchi, Vladimir Atanasov, Mark Stake, Garrett Bates, Kristen Osinski, John R Meurer, Bernard Black

“…We also report large sample evidence on the performance of the Abbott and Roche spike and nucleocapsid protein tests in capturing prior vaccination, infection, or both. The Roche spike protein test outperforms the Abbott spike test, and the Roche nucleocapsid test greatly outperforms the Abbott nucleocapsid test.…”
Get full text

On the enhancement of estimator efficiency of population variance through stratification, transformation, and formulation with application to COVID-19 data by Hameed Ali, Zafar Mahmood, T.H. AlAbdulaal

“…Stratification bring enhancement in estimates by capturing the heterogeneity in the data. This work introduces a novel data-driven machine learning algorithm aiming stratification problem, formally based on subjective approach. …”
Get full text

Predictive Modeling of Total Real and Reactive Power Losses in Contingency Systems Using Function-Fitting Neural Networks with Graphical User Interface by Alfredo Bonini Neto, Alexandre de Queiroz, Giovana Gonçalves da Silva, André Gifalli, André Nunes de Souza, Enio Garbelini

“…ANN models excel at capturing the nonlinear behavior of power systems, eliminating the need for iterative methods commonly used in traditional approaches. …”
Get full text

Moisture Susceptibility of Warm Mix Asphalt (WMA) with an Organic Wax Additive Based on X-Ray Computed Tomography (CT) Technology by Jie Ji, Hui Yao, Zhikai Yuan, Zhi Suo, Ying Xu, Pengfei Li, Zhanping You

“…The samples were compacted and tested using the modified Lottman test AASHTO T283, and the X-ray computed tomography technology was used to capture the internal structure images before and after the freeze-thaw cycles. …”
Get full text

Close-Proximity Operations Design, Analysis, and Validation for Non-Cooperative Targets with an Application to the ClearSpace-1 Mission by José Vasconcelos, Serena Gaggi, Tiago Amaral, Charles Bakouche, Adina Cotuna, Ana Friaças

“…The relevance of the concepts, of the GNC solutions, and their validation is demonstrated for the case study of CS-1, a reference mission for the rendezvous, capture, and de-orbiting of an uncooperative target (i.e., the VESPA payload adapter). …”
Get full text

First Detection of <i>Alphacoronavirus</i> in Bats from the World’s Largest Wetland, the Pantanal, Brazil by Tayane B. S. Magalhães, Amanda de O. Viana, Thiago B. F. Semedo, Juliane S. Saldanha, Nicole A. dos Reis, Nathalia de A. Pereira, Rachel V. P. de Barros, Hannah R. Miranda, Gabriella C. Almeida, Desyrée Y. S. R. Ozaki, Giovana S. Caleiro, Gustavo O. Fenner, Fernanda P. Vizu, Theo Kraiser, Thais P. Carvalho, Luciano M. Thomazelli, Erick G. Dorlass, Clarice W. Arns, Helena L. Ferreira, Erika Hingst-Zaher, Rogério Vieira Rossi, Guilherme S. T. Garbino, Edison L. Durigon, Jansen de Araujo, Daniel M. de Aguiar

“…Given the recent SARS-CoV-2 pandemic, we investigated the presence of CoV in bats captured in the Brazilian Pantanal. Oral and rectal swabs collected in 2021 from 419 bats were analyzed using Pancoronavirus-nested PCR targeting the RNA-dependent RNA-polymerase (RdRp) gene. …”
Get full text

Impact of standard and long-lasting ivermectin formulations in cattle and buffalo on wild Anopheles survival on Sumba Island, Indonesia by Kevin C. Kobylinski, Tri B. T. Satoto, Wisnu Nurcahyo, Yudi Ratna Nugraheni, Vincentius A. Testamenti, I Putu B. A. Winata, Yosua L. Pono, Diana Timoria, Piyanan Assawasuwannakit, Mary Chambers, J. Kevin Baird, Joel Tarning, Lorenz von Seidlein, Claus Bøgh

“…In total, nine Anopheles species were captured to assess the mosquito-lethal effects of ivermectin with susceptibility ranked from lowest to highest: An. flavirostris < An. aconitus < An. annularis < An. tessellatus < An. maculatus < An. sundaicus < An. vagus < An. kochi < An. barbirostris. …”
Get full text

Enhancing the Transformer Model with a Convolutional Feature Extractor Block and Vector-Based Relative Position Embedding for Human Activity Recognition by Xin Guo, Young Kim, Xueli Ning, Se Dong Min

“…The Transformer model has received significant attention in Human Activity Recognition (HAR) due to its self-attention mechanism that captures long dependencies in time series. However, for Inertial Measurement Unit (IMU) sensor time-series signals, the Transformer model does not effectively utilize the a priori information of strong complex temporal correlations. …”
Get full text

Optimizing survey conditions for Burmese python detection and removal using community science data by Kelly R. McCaffrey, Melissa A. Miller, Sergio A. Balaguera-Reina, Alexander S. Romer, Michael Kirkland, Amy Peters, Edward F. Metzger, LeRoy Rodgers, Frank J. Mazzotti

“…While surveying, contractors collect data on search effort and python captures. We examined data from South Florida Water Management District’s Python Elimination Program to determine the effect of operational and environmental covariates on two measures of survey outcome: success (i.e., probability of removing at least one python) and efficiency (i.e., the number of pythons removed per survey hour). …”
Get full text

Impinging Performance of High-Pressure Water Jets Emitting from Different Nozzle Orifice Shapes by Fei Huang, Jianyu Mi, Dan Li, Rongrong Wang

“…The flowing regimes captured by the high-speed camera together with the CFD simulation results indicate that the discrepancy in the peak pressure may be a combined action of the liquid velocities and jet head shapes.…”
Get full text