Evaluation of an enhanced ResNet-18 classification model for rapid On-site diagnosis in respiratory cytology by Wei Gong, Deep K. Vaishnani, Xuan-Chen Jin, Jing Zeng, Wei Chen, Huixia Huang, Yu-Qing Zhou, Khaing Wut Yi Hla, Chen Geng, Jun Ma

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SiameseNet based on multiple instance learning for accurate identification of the histological grade of ICC tumors by Zhizhan Fu, Fazhi Feng, Xingguang He, Tongtong Li, Xiansong Li, Jituome Ziluo, Zixing Huang, Jinlin Ye

“…Timely and accurate identification of ICC histological grade is critical for guiding clinical diagnosis and treatment planning.MethodWe proposed a dual-branch deep neural network (SiameseNet) based on multiple-instance learning and cross-attention mechanisms to address tumor heterogeneity in ICC histological grade prediction. …”
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Risk factors, urodynamic characteristics, and distress associated with nocturnal enuresis in overactive bladder -wet women by Kuan Chong Ng, Jeff Shih-Chieh Chueh, Shang-Jen Chang

“…Nocturnal enuresis (NE) is less addressed among OAB-wet patients. The study evaluated the prevalence of NE, lower urinary tract symptoms (LUTS), urodynamic factors, and social factors in OAB-wet patient. …”
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Characterization of adrenal glands on computed tomography with a 3D V-Net-based model by Yuanchong Chen, Yaofeng Zhang, Xiaodong Zhang, Xiaoying Wang

“…The study developed a 3D V-Net-based segmentation model of adrenal lesions with DSC 0.900 in the test set. …”
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WNT11 Promotes immune evasion and resistance to Anti-PD-1 therapy in liver metastasis by Weiliang Jiang, Bingjie Guan, Hongcheng Sun, Yushuai Mi, Sanjun Cai, Rong Wan, Xinxiang Li, Peng Lian, Dawei Li, Senlin Zhao

“…Understanding the dynamics of tumor microenvironment (TME) and immune interactions is crucial for developing effective treatments. We find that WNT11 promoted CD8+ T-cell exclusion and suppression, which was correlated with poor prognosis in LM. …”
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Contrasting spatial variations between above and below-ground net primary productivity in global grasslands by Ying Hu, Yue Yang, Yu Wei, Xiaozhen Li, Yue Jiao, Jiapei Liao, Ruiyu Fu, Lichong Dai, Zhongmin Hu

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Concurrent software fine‐coarse‐grained automatic modelling by Coloured Petri Nets for model checking by Wenjie Zhong, Jian‐tao Zhou, Tao Sun

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CGV-Net: Tunnel Lining Crack Segmentation Method Based on Graph Convolution Guided Transformer by Kai Liu, Tao Ren, Zhangli Lan, Yang Yang, Rong Liu, Yuantong Xu

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A digital twin framework with MobileNetV2 for damage detection in slab structures by Huong Duong Nguyen, Huan Nguyen, Xiaohong Gao

“…To verify the proposed framework, we present a case study of slab structure using deflection measurement as input data. …”
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Laboratory Experiments on the Effect of Microtopography on Soil-Water Movement: Spatial Variability in Wetting Front Movement by Leif Sande, Xuefeng Chu

“…Laboratory experiments were conducted by simulating rainfall across packed soil surfaces to investigate the effect of microtopography on wetting front movement within experimental soil profiles. …”
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The effect of female breast surface area on cutaneous thermal sensation, wetness perception and epidermal properties by Hannah Blount, Alessandro Valenza, Jade Ward, Silvia Caggiari, Peter R. Worsley, Davide Filingeri

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Reliability Prediction of Ontology-Based Service Compositions Using Petri Net and Time Series Models by Jia Li, Yunni Xia, Xin Luo

“…Predicting the reliability of composite service processes specified in OWL-S allows service users to decide whether the process meets the quantitative quality requirement. In this study, we consider the runtime quality of services to be fluctuating and introduce a dynamic framework to predict the runtime reliability of services specified in OWL-S, employing the Non-Markovian stochastic Petri net (NMSPN) and the time series model. …”
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Maintenance and risk management of rockfall protection net fences through numerical study of damage influence by Andrea Luciani, Carmine Todaro, Daniele Peila

Subjects: “…Rockfall protection net fence…”
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DSFA-SwinNet: A Multi-Scale Attention Fusion Network for Photovoltaic Areas Detection by Shaofu Lin, Yang Yang, Xiliang Liu, Li Tian

“…To tackle these challenges, a detection method known as Dynamic Spatial-Frequency Attention SwinNet (DSFA-SwinNet) for multi-scale PV areas is proposed. …”
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Small Extracellular Vesicles Promote Axon Outgrowth by Engaging the Wnt-Planar Cell Polarity Pathway by Samar Ahmad, Tania Christova, Melanie Pye, Masahiro Narimatsu, Siyuan Song, Jeffrey L. Wrana, Liliana Attisano

“…We demonstrate that sEVs are internalized by neurons, colocalize with Wnt7b, and induce relocalization of Vangl2 to the distal axon during axon outgrowth. …”
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Photoplethysmography based psychological stress detection with pulse rate variability feature differences and elastic net by Fenghua Li, Peida Xu, Shichun Zheng, Wenfeng Chen, Yang Yan, Suo Lu, Zhengkui Liu

“…However, existing stress-detection models with only heartbeat/pulse input are limited in prediction output granularity, and models with multiple prediction levels output usually require additional bio-signal other than heartbeat, which may increase the number of sensors and be wearable unfriendly. In this study, we took a novel approach of incremental pulse rate variability and elastic-net regression in predicting mental stress. …”
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HandSegNet: Hand segmentation using convolutional neural network for contactless palmprint recognition by Koichi Ito, Yusei Suzuki, Hiroya Kawai, Takafumi Aoki, Masakazu Fujio, Yosuke Kaga, Kenta Takahashi

“…IET Biometrics…”
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A Hybrid Efficient U-Net Framework for Detection of Anterior Belly of the Digastric Muscle on Ultrasonography by Sule Erdem, Suheda Erdem, Muammer Turkoglu, Abdulkadir Sengur, Nebras M. Sobahi

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SCRD-Net: A Deep Convolutional Neural Network Model for Glaucoma Detection in Retina Tomography by Hua Wang, Jingfei Hu, Jicong Zhang

“…A deep-neural-network model has been developed for the diagnosis of glaucoma based on Heidelberg retina tomography (HRT), called “Seeking Common Features and Reserving Differences Net” (SCRD-Net) to make full use of the HRT data. …”
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Chapter 22: Beet Production in Florida by George J. Hochmuth, Donald N. Maynard, Charles S. Vavrina, William M. Stall, Kenneth L. Pernezny

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