Feeding Patterns and Xenomonitoring of Trypanosomes among Tsetse Flies around the Gashaka-Gumti National Park in Nigeria by Solomon Ngutor Karshima, Idris A. Lawal, Oluseyi Oluyinka Okubanjo

“…A total of 631 tsetse flies were captured, of which 531 (84.2%) and 100 (15.8%) were analyzed for trypanosomes and blood meals, respectively. …”
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Are We Moving Too Fast?: Representation of Speed in Static Images by Irmak Hacımusaoğlu, Neil Cohn

“…Altogether, our results suggest that different aspects of motion can be captured by different cues, and that the effectiveness of cues might be modulated by exposure to such patterns, in line with the premises of a visual lexicon view.…”
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Gradient pooling distillation network for lightweight single image super-resolution reconstruction by Zhiyong Hong, GuanJie Liang, Liping Xiong

“…In the GPDN we leverage multi-level stacked feature distillation hybrid units to capture multi-scale feature representations, which are subsequently synthesized for dynamic feature space optimization. …”
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The Neuroprotective Disease-Modifying Potential of Psychotropics in Parkinson's Disease by Edward C. Lauterbach, Leonardo F. Fontenelle, Antonio L. Teixeira

“…The most promising neuroprotective investigative priorities will involve disease-modifying trials of the safest agents alone or in combination to capture salutary effects on H3 histone deacetylase, gene transcription, glycogen synthase kinase-3, α-synuclein, reactive oxygen species (ROS), reactive nitrogen species (RNS), apoptosis, inflammation, and trophic factors including GDNF and BDNF.…”
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Improving Medical Image Quality Using a Super-Resolution Technique with Attention Mechanism by Dong Yun Lee, Jang Yeop Kim, Soo Young Cho

“…The model uses L1 loss to generate realistic and smooth outputs, outperforming existing deep learning methods in capturing contours and textures. Evaluations with the ISIC 2020 dataset—containing 33126 training and 10982 test images for skin lesion analysis—showed a 1–2% improvement in peak signal-to-noise ratio (PSNR) compared to very deep super-resolution (VDSR) and enhanced deep super-resolution (EDSR) architectures.…”
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A novel ensemble model for fall detection: leveraging CNN and BiLSTM with channel and temporal attention by Sarita Sahni, Sweta Jain, Sri Khetwat Saritha

“…Meanwhile, the temporal attention module captures associations within the sensor data’s temporal dimension, allowing the model to focus on critical features and enhance performance. …”
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A novel quantile regression for fractiles based on unit logistic exponential distribution by Hanan Haj Ahmad, Kariema A. Elnagar

“…Key findings demonstrate that the unit logistic-exponential distribution captures diverse data patterns effectively and improves reliability assessment in practical contexts. …”
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Non-hydrostatic depth-integrated models for dam break flows through rigid-emergent vegetation by Mahmoud Adel A., Ginting Bobby Minola, Uchida Tatsuhiko

“…Vegetation acts like a natural dam break flow buffer, dissipating energy, reducing wave height and celerity. …”
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A new clothing image retrieval algorithm based on sketch component segmentation in mobile visual sensors by Haopeng Lei, Yugen Yi, Yuhua Li, Guoliang Luo, Mingwen Wang

“…Different from traditional keyword-based and content-based image retrieval techniques, sketch-based image retrieval provides a more intuitive and natural way for users to clarify their search need. …”
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Entity-enhanced BERT for medical specialty prediction based on clinical questionnaire data. by Soyeon Lee, Ye Ji Han, Hyun Joon Park, Byung Hoon Lee, DaHee Son, SoYeon Kim, HyeonJong Yang, TaeJun Han, EunSun Kim, Sung Won Han

“…Moreover, the visualization results for the effects of entity-aware attention prove that E-BERT effectively incorporate domain-specific knowledge and other information, enabling the capture of contextual information in the text. Finally, the robustness and applicability of the proposed method is explored by applying it to other Pre-trained Language Models. …”
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Research on the lightweight detection method of rail internal damage based on improved YOLOv8 by Xiaochun Wu, Shuzhan Yu

“…Thirdly, the network structure is refined to better capture the scale characteristics of damage in B-scan data, improving small-target detection. …”
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Strength Characteristics of Cement Treated and Expanded Polystyrene Mixed Lightweight of Waste Soil from the Construction Site of a Yangtze River Bridge in China by Weihua Lu, Jianyun Wang, Yongxing Zhang

“…Then, a good exponential relationship between the uniaxial compressive strength and the cement mixing ration was founded, and a logarithmic relationship was captured between the compressive strength and curing time within a period of 28 days after the specimens were made. …”
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LSTM-based framework for predicting point defect percentage in semiconductor materials using simulated XRD patterns by Mehran Motamedi, Reza Shidpour, Mehdi Ezoji

“…The sliding window technique plays a crucial role in capturing temporal dependencies within the XRD data, allowing the model to generalize to other semiconductor materials. …”
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Heat transfer enhancement in microchannel systems through geometric modification of vortex generators and nanofluid integration: A numerical study by Chuan-Chieh Liao, Wen-Ken Li, Hui-En Lin

“…The numerical study investigates heat transfer enhancement in microchannels using vortex generators (VGs) and nanofluids, employing Buongiorno's two-phase model to accurately capture nanoparticle dynamics. Previous research has largely addressed the effects of thermal efficiency (ΦT) and mechanical penalty (ΦM) separately for various VG configurations. …”
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Unsupervised data imputation with multiple importance sampling variational autoencoders by Shenfen Kuang, Yewen Huang, Jie Song

“…Abstract Recently, deep latent variable models have made significant progress in dealing with missing data problems, benefiting from their ability to capture intricate and non-linear relationships within the data. …”
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The Integration of Multimodal Networks: The Generalized Modal Split and Collaborative Optimization of Transportation Hubs by Yifei Cai, Jun Chen, Da Lei, Jiang Yu

“…The lower-level problem is a generalized modal split/traffic assignment problem (GMS/TAP), which captures the mode choices of all modes in the path set. …”
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Advancements in Development of Chemical-Looping Combustion: A Review by He Fang, Li Haibin, Zhao Zengli

“…High fuel conversion rates and almost 100%  CO2 capture efficiencies were obtained. The CLC system with two interconnected fluidized-bed reactors was considered the most suitable reactor design. …”
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Evaluating the Potential of High-Resolution Visible Remote Sensing to Detect Shiraz Disease in Grapevines by Yeniu Mickey Wang, Bertram Ostendorf, Vinay Pagay

“…High-resolution visible remote sensing images were captured of Shiraz grapevines in two South Australian viticultural regions over two seasons. …”
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Influence of moving heat sources on thermoviscoelastic behavior of rotating nanorods: a nonlocal Klein–Gordon perspective with fractional heat conduction by Ahmed E. Abouelregal, M. Marin, Abdelaziz Foul, Sameh S. Askar

“…A key innovation was the adoption of Klein–Gordon-type nonlocal elasticity theory, which incorporated internal length and time scales to capture small-scale interactions effectively. Additionally, a fractional heat conduction model using two-parameter tempered-Caputo derivatives introduced memory effects and nonlocality, ensuring finite thermal wave speeds and overcoming the limitations of the classical Fourier model. …”
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Detection and Classification Method for Early-Stage Colorectal Cancer Using Dyadic Wavelet Packet Transform by Daigo Takano, Hajime Omura, Teruya Minamoto

“…These features effectively capture variations in pixel values and delineate contours and patterns. …”
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