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Abstractive Summarization of Historical Documents: A New Dataset and Novel Method Using a Domain-Specific Pretrained Model by Keerthana Murugaraj, Salima Lamsiyah, Christoph Schommer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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The Role of Geographic Information Systems (GIS) in Participatory Conservation of Heritage Areas by Hamid Salimi, Somayeh Fadaei Nezhad Bahramjerdi, Rana Tootoonchi

“…The research highlights GIS's capability to capture diverse social groups' perspectives on heritage values and priorities using participatory mapping. …”
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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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Explore Knowledge-Sharing Strategy and Evolutionary Mechanism for Integrated Project Team Based on Evolutionary Game Model by Yanchao Du, Hengyu Zhou, Yongbo Yuan, Xiaoxue Liu

“…To make up for the deficiency of the studies existing, a novel model is proposed by taking advantage of evolutionary game theory, to capture the interaction behavior of knowledge-sharing and explore its evolutionary mechanism. …”
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Use of photogrammetry to survey Iron Age rock art motifs in the Côa Valley: the Vermelhosa Rock 3 case study (Vila Nova de Foz Côa, Portugal) by Natália Botica, Luís Luís, Paulo Bernardes

“…Remarkably, the level of detail captured in these records has shown that most of the motifs are visible and can be accurately represented through the orthophotos. …”
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Voices in the Forest: Unraveling REDD+ Discourse and Narratives in the Bale Eco-region, Ethiopia by Aklilu Bekele Chorito, Engdawork Assefa

“… REDD+ projects are viewed in environmental discourse as a centralized framework to assist ongoing initiatives to stop deforestation and forest degradation and to advance sustainable forest management. This case study captures the intricacy of REDD+ narratives and their practical implications through a qualitative methodology that includes in depth interviews and document analysis. …”
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Innovative machine learning approaches for indoor air temperature forecasting in smart infrastructure by Nataliya Shakhovska, Lesia Mochurad, Rosana Caro, Sotirios Argyroudis

“…At the core of this study is the application of Long Short-Term Memory (LSTM) networks for time-series modeling, which significantly enhances the capture of temporal dependencies in temperature predictions. …”
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Magnetotelluric Sampling and Geoelectric Hazard Estimation: Are National‐Scale Surveys Sufficient? by Benjamin S. Murphy, Greg M. Lucas, Jeffrey J. Love, Anna Kelbert, Paul A. Bedrosian, E. Joshua Rigler

“…We also provide a cautionary example in the use of electrical conductivity models to predict dense MT data; although valuable for hazard applications, models may only be able to reproduce surface geoelectric fields as captured by the MT data from which they were derived.…”
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Towards a new spatial representation of bone remodeling by Jason M. Graham, Bruce P. Ayati, Prem S. Ramakrishnan, James A. Martin

“…The simulations show that it is possible to capture spatial behavior of bone remodeling in complicated geometries as they occur in vitro and in vivo.    …”
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DIC-Based Operational Modal Analysis of Bridges by Gongfa Chen, Zhihua Wu, Chunjian Gong, Jiqiao Zhang, Xiaoli Sun

“…In this article, the DIC technique is used to capture the movement of the entire experimental bridge model. …”
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The influence of cognitive flexibility on research abilities among medical students: cross-section study by Sarah S. Almutawa, Norah A. Alshehri, Abdulrahman A. AlNoshan, Nasser M. AbuDujain, Khaled S. Almutawa, Ahmed S. Almutawa

“…The students were aware of and had a positive attitude towards research, although only 19.5% of them had actually published. Some of the barriers included inadequate time and challenges with follow-up care for patients. …”
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