Research Advances of Wnt Signaling Pathway in Ischemic Disease of Lower Extremity by Jinhui PENG, Weidong ZHU, Qirong QIAN

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Robust medical zero‐watermarking algorithm based on Residual‐DenseNet by Cheng Gong, Jing Liu, Ming Gong, Jingbing Li, Uzair Aslam Bhatti, Jixin Ma

“…IET Biometrics…”
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Roles of NET Peptides With Known Antimicrobial Activity and Toxicity in Immune Response by Sinan Cebeci, Tuba Polat, Nihan Ünübol

“…Among the synthesized peptides, NET1 and NET2 demonstrated low cytotoxicity in TIB-71 RAW 264.7 macrophages. …”
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Representation and termination analysis for ECA rules based on extended Petri net by Li-chen ZHANG, Xiao-ming WANG, Wen-yang DOU

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Performance outcomes from a DMEK peeling and preparation wet lab by Sajjad Ahmad, Vito Romano, Mohit Parekh, Stefano Ferrari, Alessandro Ruzza, Matteo Airaldi, Alexander George Wallace

“…Objective To evaluate the Descemet membrane endothelial keratoplasty (DMEK) preparation performance of trainee surgeons in an ex vivo human donor cornea DMEK wet lab simulation setting.Methods Human donor corneoscleral rims unsuitable for transplantation were obtained from Moorfields Lions Eye Bank. …”
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Analysis of the Engagement Characteristic of the Improved Marine Wet Multi-plate Clutch by Zhu Yongxiang

Subjects: “…Wet multi-plate…”
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Thermo- mechanical Coupling Analysis of Friction Plate of Wet Friction Clutch by Yang Yongqiang, Li Xiaoying, Cao Botao, Zhang Chunxia, Zhang Man

“…Based on the dynamics research of wet friction clutch,the engagement heat flux of friction clutch is calculated by friction power method,and the heat convection of wet friction clutch is discussed. …”
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Unbalanced protocol recognition method based on improved residual U-Net by Jisheng WU, Zheng HONG, Tiantian MA

“…An unbalanced protocol recognition method based on the improved Residual U-Net was proposed to solve the challenge of network security posed by the increasing network attacks with the continuous development of the Internet.In the captured network traffic, a small proportion is constituted by malicious traffic, typically utilizing minority protocols.However, existing protocol recognition methods struggle to accurately identify these minority protocols when the class distribution of the protocol data is imbalanced.To address this issue, an unbalanced protocol recognition method was proposed, which utilized the improved Residual U-Net, incorporating a novel activation function and the Squeeze-and-Excitation Networks (SE-Net) to enhance the feature extraction capability.The loss function employed in the proposed model was the weighted Dice loss function.In cases where the recognition accuracies of the minority protocols were low, the loss function value would be high.Consequently, the optimization direction of the model would be dominated by the minority protocols, resulting in improved recognition accuracies for them.During the protocol recognition process, the network flow was extracted from the network traffic and preprocessed to convert it into a one-dimensional matrix.Subsequently, the protocol recognition model extracted the features of the protocol data, and the Softmax classifier predicted the protocol types.Experimental results demonstrate that the proposed protocol recognition model achieves more accurate recognition of the minority protocols compared to the comparison model, while also improving the recognition accuracies of the majority protocols.…”
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Surface properties and wetting behavior of liquid Ag-Sb-Sn alloys by Sklyarchuk V., Plevachuka Yu., Kaban I., Novakovic R.

“…The new experimental results were compared with the calculated values as well as with data available in the literature.…”
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Rehydrated corn grain silage with wet brewery residue and different inoculants by E. L. L. Lelis, V. B. Tavares, R. M. A. Teixeira, B. G. C. Homem, C. H. Nogueira, J. M. Silva

“… The objective was to evaluate the effects of including different proportions of Wet Brewery Residue (WBR) using inoculants on rehydrated ground corn silage quality. …”
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Adjusting U-Net for the aortic abdominal aneurysm CT segmentation case by R.U. Epifanov, N.A. Nikitin, A.A. Rabtsun, L.N. Kurdyukov, A.A. Karpenko, R.I. Mullyadzhanov

“…In this paper, we address the issue of developing of a convolutional neural network for the problem of aneurysm segmentation into three classes and of exploring ways for improving the quality of final segmentation masks. …”
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Petri Net Model for Serious Games Based on Motivation Behavior Classification by Moh. Aries Syufagi, Mochamad Hariadi, Mauridhi Hery Purnomo

“…MBG may provide information when a player needs help or when he wants a formidable challenge. …”
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DetNet service share protection scheme based on SRv6 by Shuopeng LI, Juan FANG, Ken CHEN

“…To solve the problem that existing methods are difficult to achieve efficient deployment and service protection in deterministic network (DetNet), a DetNet service protection architecture based on SRv6 was proposed.By leveraging this architecture, a service-oriented DetNet protection scheme was designed and the share protection policy was formulated.With the aid of backup bandwidth share, the proposed heuristic based on shortest path optimized network resource utilization and delay.The simulation results show that the share protection algorithm achieves better performance than non-share algorithm.…”
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Writer identification and writer retrieval based on NetVLAD with Re‐ranking by Shervin Rasoulzadeh, Bagher BabaAli

“…IET Biometrics…”
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Corrigendum to “Wnt5a Signaling in Normal and Cancer Stem Cells” by Yan Zhou, Thomas J. Kipps, Suping Zhang

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MODELING A NEGOTIATION PROCESS BETWEEN AIRCRAFT USING PETRI NETS by Daria ŻUCHOWSKA, Anna STELMACH

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Die predikant: dienaar van God of net 'n gewone werknemer? by J. V. du Plessis, H. J. Deacon

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A gender perspective on Internet use: consequences for information seeking on the net by AnnBritt Enochsson

“…</b> The aim of this article is to look at how attitudes towards the Internet technology differ between boys and girls, and how this affects their critical approach when seeking information. <br><b>Method.</b> The approach is ethnographic, and the material was collected by means of observations, conversations, questionnaires, interviews, computer logs and reading documents. …”
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Precision Evaluation Methods of Petri Nets Modelling Discrete-Event Processes by Ernesto López-Mellado, Rubén Barragán-Pérez

“…In process mining, conformance checking determines the quality of discrete-event process models through several measures computed with respect to a set of event sequences λ from which the model N is obtained. …”
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Ensemble Learning for Three-dimensional Medical Image Segmentation of Organ at Risk in Brachytherapy Using Double U-Net, Bi-directional ConvLSTM U-Net, and Transformer Network by Soniya Pal, Raj Pal Singh, Anuj Kumar

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