Exertional Myopathy in a Juvenile Green Sea Turtle (Chelonia mydas) Entangled in a Large Mesh Gillnet by Brianne E. Phillips, Sarah A. Cannizzo, Matthew H. Godfrey, Brian A. Stacy, Craig A. Harms

“…If possible, sea turtles subjected to incidental capture and entanglement that exhibit weakness or dull mentation should be clinically evaluated prior to release to minimize the risk of delayed mortality. …”
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A Joint Network of 3D-2D CNN Feature Hierarchy and Pyramidal Residual Model for Hyperspectral Image Classification by Hongwei Wei, Yufan Wang, Yu Sun, Jianfeng Zheng, Xiaodong Yu

“…The typical 2D-CNN method is unable to capture the discriminant spectral-spatial features due to the massive dimensionality of HSI data as well as potential noise and redundancy, while the 3D-CNN method significantly increases the computational burden of the model. …”
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Evaluating the performance of snow depth reanalysis products in the arid region of Central Asia by Liancheng Zhang, Guli∙Jiapaer, Tao Yu, Hongwu Liang, Kaixiong Lin, Tongwei Ju, Philippe De Maeyer, Tim Van de Voorde

“…The use of a multidataset ensemble average SD product significantly enhances the ability to capture SDs in CA. Our study provides reliable data support for SD monitoring in the CA.…”
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Model-enhanced spatial-temporal attention networks for traffic density prediction by Qi Guo, Qi Tan, Yue Peng, Long Xiao, Miao Liu, Benyun Shi

“…Furthermore, this paper utilizes the attention mechanism to dynamically model spatial-temporal dependencies, capturing real-time traffic conditions and density, and constructs a spatial-temporal attention module for learning. …”
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A novel soil water-heat-salt coupling model for freezing-thawing period in farmland with shallow groundwater by Pu Wang, Zhongyi Liu, Chaozi Wang, Chenglong Zhang, Weishu Wang, Xianghao Wang, Juan Han, Zailin Huo

“…New hydrological insights for the region: The model effectively captured the spatiotemporal dynamics of water, heat, and salt driven by soil freeze-thaw processes. …”
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Forecasting basal area increment in forest ecosystems using deep learning: A multi-species analysis in the Himalayas by P. Casas-Gómez, J.F. Torres, J.C. Linares, A. Troncoso, F. Martínez-Álvarez

“…Traditional forecasting techniques, such as Linear Mixed Models, Random Forest and standard Artificial Neural Networks, often fail to account for the time-dependent nature of tree growth and utilize simple architectures. …”
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Adipose-Derived Mesenchymal Stem Cells Enhance Ovarian Cancer Growth and Metastasis by Increasing Thymosin Beta 4X-Linked Expression by Yijing Chu, Min You, Jingjing Zhang, Guoqiang Gao, Rendong Han, Wenqiang Luo, Tingting Liu, Jianxin Zuo, Fuling Wang

“…As shown in the bioluminescence images captured in vivo, increased ovarian cancer’s growth and metastasis, along with elevated TMSB4X expression, were observed in the group of ADSC-conditioned medium, and the tumour-promoting effect of ADSCs was attenuated by the inhibition of TMSB4X. …”
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ViT-ISRGAN: A High-Quality Super-Resolution Reconstruction Method for Multispectral Remote Sensing Images by Yifeng Yang, Hengqian Zhao, Xiadan Huangfu, Zihan Li, Pan Wang

“…Results indicate that the ViT-ISRGAN model excels in capturing texture details and color restoration, effectively extracting spectral and texture information from multispectral remote sensing images across various scenes. …”
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Numerical Simulation on Mesoscale Mechanism of Seepage in Coal Fractures by Fluid-Sloid Coupling Method by Kai Si, Ruidong Peng, Leilei Zhao, Yan Zhao, Yaheng Zhu, Zhendong Cui, Jianyong Zhang

“…The permeability is increased linearly with the increasing of facture width and outlet velocity. A certain change of lateral coefficient of in situ stress also affects seepage. …”
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Unified Quantile Regression Deep Neural Network with Time-Cognition for Probabilistic Residential Load Forecasting by Zhuofu Deng, Binbin Wang, Heng Guo, Chengwei Chai, Yanze Wang, Zhiliang Zhu

“…In addition, a novel periodical coding method marks the model to enhance its ability of capturing regular load pattern. Then, features generated from both subnetworks are fused and fed into the forecasting model with an end-to-end manner. …”
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BWFER-YOLOv8: An Enhanced Cascaded Framework for Concealed Object Detection by Khalid Ijaz, Ikramullah Khosa, Ejaz A. Ansari, Syed Farooq Ali, Asif Hussain, Faran Awais Butt

“…Contact-free concealed object detection using passive millimeter-wave imaging (PMMWI) sensors is a challenging task due to a low signal-to-noise ratio (SNR) and nonuniform illumination affecting the captured image’s quality. The nonuniform illumination also generates a higher false positive rate due to the limited ability to differentiate small hidden objects from the background of images. …”
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Study on the Ablation Behavior of High-Intensity Lasers in Vacuum by Heyan Gao, Ying Wang, Jifei Ye, Bangdeng Du, Diankai Wang, Sai Li, Qianqian Cui, Sibo Wang, Tengfei Zhang

“…Both the depth and volume ablation efficiencies were calculated, and the three-dimensional morphology of the ablation holes was captured. Additionally, the ablation plume was observed to support the research conclusions. …”
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Characterization of Chronic Mechanical Irritation in Oral Cancer by Jerónimo P. Lazos, Eduardo D. Piemonte, Hector Eduardo Lanfranchi, Mabel N. Brunotto

“…Oral mucosa could host many lesions originated by chronic mechanical irritation (CMI) from teeth or dentures, and it has been proposed as risk factor for oral cancer. …”
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Using Generative Adversarial Networks for the synthesis of emotional facial expressions in virtual educational environments by William Villegas-Ch, Alexandra Maldonado Navarro, Araceli Mera-Navarrete

“…However, one of the main challenges remains the accurate transmission of complex and negative emotions, such as anger or sadness, due to the difficulty of correctly capturing the facial micro gestures that characterize these emotions. …”
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Modeling the Distribution of Dominant Hard Ticks in Southeastern Coastal Areas of the Caspian Sea by Sedighe Nabian, Elahe Ebrahimzadeh, Abbas Farahi, Ahmad Ali Hanafi-Bojd

“…Because most farms in the study area are traditionally engaged in sheep production and they are taken to pastures in the warm season, the ticks were sampled from herds of sheep. …”
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A Refined Nomenclature System to Better Discriminate Endo- and Exo-Type Fructanases and Glucanases by Laura Leaerts, Jaime Ricardo Porras-Domínguez, Maxime Versluys, Wim Van den Ende

“…Traditional methods, often based on endpoint activity measurements, do not capture the full range of products generated, leading to inconsistencies in classification. …”
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Implementing digital respiratory technologies for people with respiratory conditions: A protocol for a scoping review. by Chi Yan Hui, Kathleena Condon, Shailesh Kolekar, Nicola Roberts, Katherina Bernadette Sreter, Sami O Simons, Carlos Figueiredo, Zoe McKeough, Hani Salim, Aleksandra Gawlik-Lipinski, Apolline Gonsard, Ayşe Önal Aral, Anna Vanoverschelde, Matthew Armstrong, Dario Kohlbrenner, Cátia Paixão, Patrick Stafler, Efthymia Papadopoulou, Adrian Paul Rabe, Milan Mohammad, Izolde Bouloukaki, Shirley Quach, Malek Chaabouni, Georgios Kaltsakas, Kate Loveys, Tonje Reier-Nilsen, Anthony Paulo Sunjaya, Paul Robinson, Hilary Pinnock, Amy Hai Yan Chan

“…Using respiratory technologies as an example, our scoping review process will capture and review the published research between 12th December 2013 to 12th December 2023. …”
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Automated String Art Creation: Integrated Advanced Computational Techniques and Precision Art Designing by Spoorthi Singh, Navya T. Hegde, Mohammad Zuber, Yuvraj Singh Nain, Vishnu G. Nair

“…The resulting string art pieces, derived from famous images, demonstrate the machine’ s capability to capture key features through varying string densities, offering a blend of mathematical precision and artistic abstraction. …”
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Anomaly detection of adversarial cyber attacks on electric vehicle charging stations by Sagar Babu Mitikiri, Vedantham Lakshmi Srinivas, Mayukha Pal

“…A Long Short Term Memory (LSTM) based autencoder model is used for predicting the charging port current magnitudes that capture the temporal dependencies in the sequential EVCI data. …”
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Denoising Graph Inference Network for Document-Level Relation Extraction by Hailin Wang, Ke Qin, Guiduo Duan, Guangchun Luo

“…In this work, we explicitly model a denoised document-level graph based on linguistic knowledge to capture various long-range semantic dependencies among entities. …”
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