A framework for the simulation of individual glycan coordinates to analyze spatial relationships within the glycocalyx by Sarah Fritsche, Sarah Fritsche, Leonhard Möckl, Leonhard Möckl, Leonhard Möckl, Leonhard Möckl

“…The glycocalyx is a dense and dynamic layer of glycosylated species that covers every cell in the human body. …”
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Evaluating machine learning algorithms for energy consumption prediction in electric vehicles: A comparative study by Izhar Hussain, Kok Boon Ching, Chessda Uttraphan, Kim Gaik Tay, Adil Noor

“…This research examined the performance of eleven machine learning models for this purpose: Ridge Regression, Lasso Regression, K-Nearest Neighbors, Gradient Boosting, Support Vector Regression, Multi-Layer Perceptron, XGBoost, CatBoost, LightGBM, Gaussian Processes for Regression(GPR) and Extra Trees Regressor, considering real historical data from Colorado. …”
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YOLO-TARC: YOLOv10 with Token Attention and Residual Convolution for Small Void Detection in Root Canal X-Ray Images by Yin Pan, Zhenpeng Zhang, Xueyang Zhang, Zhi Zeng, Yibin Tian

“…By tokenizing feature maps and enhancing local focusing, it enables the model to pay closer attention to small targets. Additionally, to optimize the training process, a bounding box loss function is adopted to achieve faster and more accurate bounding box predictions. …”
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Study on the Protective Effect of Naringin-Regulated LncRNA GAS5 against Mitochondrial Apoptosis in Osteoarthritic Chondrocytes by LIN Qin, ZHU Yingkai, LIN Yanming, LAN Shujie, CHEN Changxing, FU Changlong

“…The surface of the cartilage layer of the knee joint in the model group was rough and uneven, with obvious defects. …”
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GEOCRYOLOGICAL CONDITIONS OF THE FORMATION OF GIANT SPRING AUFEIS AT THE ANMANGYNDA RIVER (MAGADAN REGION) ACCORDING TO GEOPHYSICAL DATA by V. V. Olenchenko, O. M. Makarieva, A. A. Zemlianskova, A. A. Ostashov, A. S. Kalganov, A. V. Chekryzhov

“…On vertical sections of 3D resistive models, a connection between faults and filtration channels in alluvium and a layer of exogenous fracturing is traced. …”
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An Optimised CNN Hardware Accelerator Applicable to IoT End Nodes for Disruptive Healthcare by Arfan Ghani, Akinyemi Aina, Chan Hwang See

“…The network architecture, composed of seven layers with excessive hyperparameters, processes downscale grayscale images, achieving notable gains in speed and energy efficiency. …”
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Chemical mechanical polishing as an alternative surface treatment technique for corrosion prevention of carbon steel in an acidic medium by Mohamed Ahmed, Buthainah Ali Al-Timimi, Maha Al-Ali, Ghassan H. Abdullah, Safa Khalaf Atiyaha, Ahmed Yaseen Ali Aljanabi, Maizirwan Mel

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Non-Volatile Reconfigurable Optical Digital Diffractive Neural Network Based on Phase Change Material by Qiaomu Hu, Jingyu Zhao, Chu Wu, Rui Zeng, Xiaobing Zhou, Shuang Zheng, Minming Zhang

“…Using three reconfigurable non-volatile digital diffractive layers and 10 photodetectors connected to a reconfigurable resistor network, our model achieves an accuracy of 94.46% in the handwritten digit recognition task. …”
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Exploring neural oscillations during speech perception via surrogate gradient spiking neural networks by Alexandre Bittar, Alexandre Bittar, Philip N. Garner

“…Understanding cognitive processes in the brain demands sophisticated models capable of replicating neural dynamics at large scales. …”
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Design of a Device for Optimizing Burden Distribution in a Blast Furnace Hopper by Gabriele Degrassi, Lucia Parussini, Marco Boscolo, Elio Padoano, Carlo Poloni, Nicola Petronelli, Vincenzo Dimastromatteo

“…The coke and ore are stacked alternately in layers inside the blast furnace. The capability of the charging system to distribute them in the desired manner and with optimum strata thickness is crucial for the efficiency and high-performance operation of the blast furnace itself. …”
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A self-growth convolution network for thermal and mechanical fault detection with very limited engine data by Gou Xin, Zhu Xiaolong, Wang Xinwei, Wang Hui, Zhang Junhong, Lin Jiewei

“…The direct similarity measurement is utilized to supervise the depth-growth in the layer-by-layer training process. The feature redundancy metric is employed to control the width expansion. …”
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IDDNet: Infrared Object Detection Network Based on Multi-Scale Fusion Dehazing by Shizun Sun, Shuo Han, Junwei Xu, Jie Zhao, Ziyu Xu, Lingjie Li, Zhaoming Han, Bo Mo

“…A two-stage training strategy optimizes the model’s performance, enhancing its accuracy and robustness in foggy environments. …”
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Hybrid ML/FWI method using GPR data to evaluate the tack coat characteristics in pavements: Experimental validation by Grégory Andreoli, Amine Ihamouten, Franziska Schmidt, Mai Lan Nguyen, David Souriou, Xavier Dérobert

“…Time resolution is one of the limiting factors when using Ground Penetrating Radar (GPR) techniques to characterize thin layers in the subsurface, such as the tack coat in pavements. …”
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Yi Shen Tiao Gan decoction alleviates aromatase inhibitor–related bone loss by promoting H-type vessel formation by Meiling Chu, Yan Zhang, Meina Ye, Yulian Yin, Hongfeng Chen

“…Notably, SLIT3, a proangiogenic factor secreted by osteoblasts, is actively involved in the regulation of H-type vessel formation and bone formation processes. Here, we used the inoculation and resection of breast cancer xenografts, bilateral ovaritectomy (OVX), and gavage of letrozole (Femara) to construct a suitable AIBL animal model, which was verified by ELISA, microcomputed tomography (micro-CT), hematoxylin and eosin staining, and OCN and tartrate-resistant acid phosphatase (TRAP) immunohistochemical staining. …”
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Effective Land Use Classification Through Hybrid Transformer Using Remote Sensing Imagery by Muhammad Zia Ur Rehman, Syed Mohammed Shamsul Islam, Anwaar Ul-Haq, David Blake, Naeem Janjua

“…Each component facilitates the others in the process of classification. SSCM is used to extract shallow features with the help of dilated convolutional layers, while the SAM enhances spatial features for further processing. …”
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A Scalable Security Approach in IoT Networks: Smart Contracts and Anomaly-Based IDS for Gateways Using Hardware Accelerators by Duc-Minh Ngo, Dominic Lightbody, Andriy Temko, Colin C. Murphy, Emanuel Popovici

“…The ANN model has achieved the highest processing speed at 20Gbps. …”
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Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection by ZHENG Kaikui, JI Kangyou, LI Jun, LI Qiming

“…Existing methods, including post-processing optimization, specific model based improvements, and body part feature based methods, have limitations such as inaccurate handling of heavily occluded positive samples, high computational complexity, and susceptible to background noise. …”
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An Instructional Optimization Method Based on Bidirectional Transformer and Reinforcement Learning by Ran Zhang, Xiaoping Wu, Xude Zhang, Li Xu

“…These features are then fused via Transformer-based processing to predict optimal learning content. In addition, a DQN-based reinforcement learning module models dynamic shifts in user interests, enabling adaptive refinement of learning trajectories over time. …”
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Analysis of the PointNet neural network architecture by L. A. Shchenyavskaya, D. A. Gura, R. A. Dyachenko

“…A comparative analysis of the classification of 2d and 3d objects was carried out, the layers and functions through which classification occurs were studied in detail. …”
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Predicting the Remaining Useful Life of an Aircraft Engine Using a Stacked Sparse Autoencoder with Multilayer Self-Learning by Jian Ma, Hua Su, Wan-lin Zhao, Bin Liu

“…To solve these problems, deep learning has been proposed in recent years to exploit multiple layers of nonlinear information processing for unsupervised self-learning of features. …”
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