A Behavioral Model of Drivers’ Mean Speed Influenced by Weather Conditions, Road Geometry, and Driver Characteristics Using a Driving Simulator Study by Mehdi Zolali, Babak Mirbaha, Maziyar Layegh, Hamid Reza Behnood

“…Structural equation modeling (SEM) was used to capture the complex relationships among related variables. …”
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GENDER EQUALITY AS A MODERN PHENOMENON by S. V. Storozhuk, I. M. Hoyan

“…Forming the axiological system of Western society, with the intentions to establish gender equality as a guarantee of a just society being taken into account, on the one hand, and preserving the traditional gender stereotypes inherent to patriarchal gender roles in a considerable part of the world, on the other hand, is actualizing the study of the factors that have contributed to realizing the problem of gender inequality and discrimination. …”
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Enhancement of Aeroengine Combustion Chamber Air Cooling Holes Design for Emission Reduction and Pattern Factor Control by Masoud Hajivand

“…Both thermal and prompt formation mechanisms of NOx were considered, while k-ε model for turbulence was adapted to capture the nature of emission. An annular combustion chamber of realistic dimensions with a double radial air swirler was modelled in 3D CAD to undertake this study for good, tangible results. …”

Physiotherapy and related management for childhood obesity: A systematic scoping review. by Kim Truong, Sandra Park, Margarita D Tsiros, Nikki Milne

“…<h4>Results</h4>From the initial capture of 1871 articles, 263 intervention-based articles were included. …”
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EEG-Based ADHD Classification Using Autoencoder Feature Extraction and ResNet with Double Augmented Attention Mechanism by Jayoti Bansal, Gaurav Gangwar, Mohammad Aljaidi, Ali Alkoradees, Gagandeep Singh

“…With the use of innovative deep learning techniques, this research seeks to improve the diagnosis of ADHD using EEG data. To capture complex patterns in EEG data, this study proposes a double-augmented attention mechanism ResNet-based model. …”
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Evaluation of routinely collected records for dementia outcomes in UK: a prospective cohort study by Kay-Tee Khaw, Carol Brayne, Robert Luben, Shabina Hayat, Nicholas Wareham

“…Also, to present comparisons of secondary and primary care records providing value for researchers using routinely collected records for dementia outcome capture.Study design A prospective cohort study.Setting and participants A cohort of 25 639 men and women in Norfolk, aged 40–79 years at recruitment (1993–1997) followed until 2018 linked to routinely collected to identify dementia cases. …”
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Examining infant and child death clustering among families in the cross-sectional and nationally representative Bangladesh Demographic and Health Survey 2017–2018 by Shobhit Srivastava, Ronak Paul, Rashmi Rashmi

“…We used Gompertz shared frailty model to control the correlation between event times at the mother level and capture the unobserved risks in infant and child deaths.Outcome measures We estimated two sets of survival regression models where the failure event is the survival status of the index child during the infancy period, that is, from birth to 11 months, and childhood period, that is, between 12 and 59 months, respectively. …”
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Carbon footprint of the energy sector by Leysan R. Gainullina, Aidar R. Fasykhov, Nail F. Timerbaev, Victoria R. Ibragimova

“…Russia, has natural gas, oil and coal as a source of energy production, while the issue of using low-carbon resource base, application of new technologies of carbon capture and utilization, use of renewable energy sources remains relevant. …”
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Intelligent classification of computer vulnerabilities and network security management system: Combining memristor neural network and improved TCNN model. by Zhenhui Liu

“…The MNN, by simulating the memory effect of biological neurons, effectively captures the complex nonlinear relationships within vulnerability data, thereby enhancing the data insight capabilities of the network security management system. …”
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Design of an integrated model with temporal graph attention and transformer-augmented RNNs for enhanced anomaly detection by Sai Babu Veesam, Aravapalli Rama Satish, Sreenivasulu Tupakula, Yuvaraju Chinnam, Krishna Prakash, Shonak Bansal, Mohammad Rashed Iqbal Faruque

“…Most of the available methods usually fail to capture the long-term temporal dependencies and spatial correlations, especially in dynamic multi-camera settings. …”
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Analysing head and trunk motion in the judo osoto-gari technique: relationship to sweeping-leg velocity by Lingjun Liu, Tatsuya Deguchi, Mitsuhisa Shiokawa, Kazuto Hamaguchi, Masahiro Shinya

“…Methods Kinematic data were collected from 17 male black-belt judokas using a motion capture system (250 Hz). Pearson product-moment correlation and stepwise linear regression were used to identify kinematic variables linked to the sweeping-leg velocity at sweep contact (SC). …”
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Virtual 3D reconstruction of complex congenital cardiac anatomy from 3D rotational angiography by Ernesto Mejia, Shannon Sweeney, Jenny E. Zablah

“…Abstract Background Despite advancements in imaging technologies, including CT scans and MRI, these modalities may still fail to capture intricate details of congenital heart defects accurately. …”
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Evaluating the Influence of Execution Speed on Real-Time Simulation Accuracy: A Buck Converter Case Study by Jesus Camacho, Luis Ibarra, Pedro Ponce

“…However, it has not been assessed how fast a RTS must actually be, beyond the usual suggestion of always accelerating its execution. …”
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Abstractive Summarization of Historical Documents: A New Dataset and Novel Method Using a Domain-Specific Pretrained Model by Keerthana Murugaraj, Salima Lamsiyah, Christoph Schommer

“…Furthermore, we leverage the potential of HistBERT, a domain-specific bidirectional language model trained on the balanced Corpus of Historical American English, (<uri>https://www.english-corpora.org/coha/</uri>) to capture the semantics of the input documents. Specifically, our method adopts an encoder-decoder architecture, combining the pre-trained HistBERT encoder with a randomly initialized Transformer decoder. …”
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Crash Prediction on Expressway Incorporating Traffic Flow Continuity Parameters Based on Machine Learning Approach by Tian Lei, Jia Peng, Xingliang Liu, Qin Luo

“…Taking Xi’an G3001 Expressway as study area, real road traffic and accident data during the period from January 2014 to January 2019 on this expressway are applied for real-time crash prediction. To better capture traffic flow characteristics on expressway and improve the practicality of real-time crash prediction model, two new variables (segment difference coefficient and lane difference coefficient) describing the smoothness and continuity of traffic flow in spatial dimension are developed and incorporated in building the crash prediction model to solve the intercorrelation problem with variable space. …”
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Does Faeces Excreted by Moxidectin-Treated Sheep Impact Coprophagous Insects and the Activity of Soil Microbiota in Subtropical Pastures? by Susana Gilaverte Hentz, Felix Guillermo Reyes Reyes, Glaciela Kaschuk, Leandro Bittencourt de Oliveira, Maria Angela Machado Fernandes, Alda Lúcia Gomes Monteiro

“…Then, coprophagous insects were captured, identified, and counted, and faeces degradation was evaluated by measuring dry weight and carbon (C) and nitrogen (N) contents over time. …”
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A hybrid deep learning air pollution prediction approach based on neighborhood selection and spatio-temporal attention by Gang Chen, Shen Chen, Dong Li, Cai Chen

“…ConvLSTM further processes the output from STA-ConvNet to capture high-dimensional temporal and spatial features. …”
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Quantifying Podocyte Number in a Small Sample Size of Glomeruli with CUBIC to Evaluate Podocyte Depletion of db/db Mice by Jiaoyu Shi, Yuan Hu, Guangze Shao, Yixiang Zhu, Zhonghua Zhao, Yanyong Xu, Zhigang Zhang, Huijuan Wu

“…In addition, a small number of glomeruli could be actually representative of the whole sample size, which indicated apparent practicability of CUBIC for clinical use.…”
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Catastrophic and violent tornadoes: a detailed review of physical-mathematical models by Sergey A. Arsen’yev, Lev V. Eppelbaum

“…When a gravity wave reaches a thunderstorm supercell that has already formed inside the atmospheric front, it is captured by the supercell because upward air movements destroy its inversion. …”
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PSiamRML: Target Recognition and Matching Integrated Localization Algorithm Based on Pseudo-Siamese Network by Jiwei Fan, Xiaogang Yang, Ruitao Lu, Xueli Xie, Siyu Wang

“…Finally, a matching test scenario with aerial images captured by an S1000 six-rotor UAV served to verify the effectiveness and practicability of the PSiamRML algorithm.…”
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