Personalized lightweight distributed network intrusion detection system in fog computing by Tianpeng YE, Xiang LIN, Jianhua LI, Xuankai ZHANG, Liwen XU

“…With the continuous development of Internet of Things (IoT) technology, there is a constant emergency of new IoT applications with low latency, high dynamics, and large bandwidth requirements.This has led to the widespread aggregation of massive devices and information at the network edge, promoting the emergence and deep development of fog computing architecture.However, with the widespread and in-depth application of fog computing architecture, the distributed network security architecture deployed to ensure its security is facing critical challenges brought by fog computing itself, such as the limitations of fog computing node computing and network communication resources, and the high dynamics of fog computing applications, which limit the edge deployment of complex network intrusion detection algorithms.To effectively solve the above problems, a personalized lightweight distributed network intrusion detection system (PLD-NIDS) was proposed based on the fog computing architecture.A large-scale complex network flow intrusion detection model was trained based on the convolutional neural network architecture, and furthermore the network traffic type distribution of each fog computing node was collected.The personalized model distillation algorithm and the weighted first-order Taylor approximation pruning algorithm were proposed to quickly compress the complex model, breaking through the limitation of traditional model compression algorithms that can only provide single compressed models for edge node deployment due to the high compression calculation overhead when facing a large number of personalized nodes.According to experimental results, the proposed PLD-NIDS architecture can achieve fast personalized compression of edge intrusion detection models.Compared with traditional model pruning algorithms, the proposed architecture achieves a good balance between computational loss and model accuracy.In terms of model accuracy, the proposed weighted first-order Taylor approximation pruning algorithm can achieve about 4% model compression ratio improvement under the same 0.2% model accuracy loss condition compared with the traditional first-order Taylor approximation pruning algorithm.…”
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Investigating the functional and structural effect of non-synonymous single nucleotide polymorphisms in the cytotoxic T-lymphocyte antigen-4 gene: An in-silico study. by Md Mostafa Kamal, Kazi Fahmida Haque Shantanu, Shamiha Tabassum Teeya, Md Motiar Rahman, A K M Munzurul Hasan, Douglas P Chivers, Tanveer A Wani, Atekah Hazzaa Alshammari, Mahesh Rachamalla, Francisco Carlos da Silva Junior, Md Munnaf Hossen

“…Thus, uncovering the molecular dynamics of single nucleotide polymorphisms (SNPs) within the CTLA4 gene is critical. We identified the non-synonymous SNPs (nsSNPs), examined their impact on protein stability, and identified the protein sequences associated with them in the human CTLA4 gene. …”
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Self-Care Interventions as a Health Technology for Managing Type 2 Diabetes: A Population-Based Study in Iran by Zahra Yousefi Malekroodi, Seyed Ali Majidi, Amirmohammad Taalipasand

“…Perceived social support and self-care are critical factors in the health of individuals with type 2 diabetes. …”
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Efficiency of Automated Viral RNA Purification for Pediatric Studies of Dengue and Zika in Hyperendemic Areas by Sandra L. Delgado, Piedad M. Perilla, Doris M. Salgado, María Clemencia Rojas, Carlos F. Narváez

“…The isolation of nucleic acids is a critical and limiting step for molecular assays, which prompted the arrival in Colombia of automated purification instruments during the SARS-CoV-2 pandemic. …”
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Uncertainty-aware deep learning in healthcare: A scoping review. by Tyler J Loftus, Benjamin Shickel, Matthew M Ruppert, Jeremy A Balch, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Philip A Efron, William R Hogan, Parisa Rashidi, Gilbert R Upchurch, Azra Bihorac

“…Entrustment could be earned by conveying model certainty, or the probability that a given model output is accurate, but the use of uncertainty estimation for deep learning entrustment is largely unexplored, and there is no consensus regarding optimal methods for quantifying uncertainty. Our purpose is to critically evaluate methods for quantifying uncertainty in deep learning for healthcare applications and propose a conceptual framework for specifying certainty of deep learning predictions. …”
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A virtual-reality (VR) cognitive pupillometry analysis of auditory and visual phonemic awareness tasks involving ‘th’ sound variations by Mohsen Mahmoudi-Dehaki, Nasim Nasr-Esfahani

“…The quantitative results demonstrated (a) no critical differences regarding the CL experienced by the participants in each group concerning voiced vs. voiceless’ th’ PATs and (b) higher levels of CL (increased pupil diameter, decreased blink rates, and increased gaze pattern or fixation duration) among participants in the auditory PATs group compared to the ones in the auditory and visual PATs group. …”
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Outcomes of Pembrolizumab plus chemotherapy for patients with metastatic non-squamous NSCLC: Real-world evidence by Irina Surovtsova, Felix J. F. Herth, Daria B. Kokh, Philipp Morakis

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Water quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model by Jingjing Sun, Xin Guan, Xiaojun Sun, Xiaojing Cao, Yepei Tan, Jiarong Liao

“…Compared to five other models, the RFR model demonstrates the best performance across all water quality indicator predictions. This work provides critical support for optimizing wastewater treatment technologies and developing water resource management policies. …”
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Numerical Investigations on the Effect of Fracture Length Distribution on the Representative Elementary Volume of 3D Discrete Fracture Networks by Ding Liu, Hai Pu, Shiru Guo, Ziheng Sha, Chong Li

“…The K holds a constant value after Ln exceeds some specific value. The critical model scale is determined as the REV size, and the corresponding volume of the 3D DFN model is represented by VREV. …”
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Polydatin ameliorates early brain injury after subarachnoid hemorrhage through up-regulating SIRT1 to suppress endoplasmic reticulum stress by Yuwei Han, Guangzhi Hao, Song Han, Tingzhun Zhu, Yushu Dong, Ligang Chen, Xinyu Yang, Xiaoming Li, Hai Jin, Guobiao Liang

“…Validation with sh-SIRT1 confirmed the critical role of SIRT1 in ER stress, with PD’s inhibitory effect on ER stress being dependent on SIRT1 expression. …”
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circRNA_101277 Influences Cisplatin Resistance of Colorectal Cancer Cells by Modulating the miR-370/IL-6 Axis by Qing Lv, Qinghua Xia, Anshu Li, Zhiyong Wang

“…These findings suggest that this circRNA_101277/miR-370/IL-6 axis may represent a critical axis of chemoresistance in CRC that can be targeted to diagnose and/or treat this cancer.…”
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The mediating role of job fairness and job burnout between subjective social status and depressive symptoms in Chinese migrant workers: a generational difference analysis by Yuanping Deng, Jiahui Huang, Juan Fang, Shaochang Wu, Yawen Zheng, Li Chen

“…Conclusion This study fills a critical gap in understanding the connections between SSS, depressive symptoms, job fairness, and job burnout among MWs in China. …”
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Analysis of Temperature Distribution and Mechanical Properties of Friction Stir Welding of Al-Cu Joints Using Hardened H13 Steel Tools by J. Pratap Kumar, Anil Raj, A. R. Venkatraman, Arul Kulandaivel, G. Ashwin Prabhu, S. K. Narendranathan, Nagaraj Ashok

“…In this method, the frictional heat generated by the tool on metal workpieces was used for joining, and the workpieces were joined below the upper critical temperature. The substantial benefit of this technique is that it is capable of welding unweldable alloys by the conventional fusion welding method. …”
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Transformer Outage Contingency in the Southern Interconnected Grid of Cameroon Based on Dynamic Power Flow Simulation by Chu Donatus Iweh, Wirnkar Basil Nsanyuy, Nde Donatus Nguti, Emmanuel Tanyi

“…A major contribution of this paper is the use of four scalar indices to classify the critical elements in the grid of a developing country. …”
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Analysis of geological characteristics and potential factors of formation damage in coalbed methane reservoir in Northern Qinshui basin by Hongjian Wu, Xiangwei Kong

“…The objective is to elucidate the types of reservoir damage induced by fracturing fluid intrusion along with potential contributing factors. This research is critical for ensuring safe drilling practices, effective gas injection, and efficient development strategies for coalbed methane reservoirs. …”
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Monocarboxylate Transporters: Role and Regulation in Corneal Diabetes by Pawan Shrestha, Amy E. Whelchel, Sarah E. Nicholas, Wentao Liang, Jian-Xing Ma, Dimitrios Karamichos

“…Changes appeared dependent on neuronal density, suggesting that MCTs are very likely critical to the neuronal defects observed in diabetic keratopathy/neuropathy. …”
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The type of diet consumed during prepuberty modulates plasma cholesterol, hepatic LXRα expression, and DNA methylation and hydroxymethylation during adulthood in male rats. by Ana Aguilar-Lozano, Berenice Palacios-González, Martha Guevara-Cruz, Armando R Tovar, Alam Palma-Guzman, Lilia G Noriega

“…Childhood obesity increases the risk of developing metabolic diseases in adulthood, since environmental stimuli during critical windows of development can impact on adult metabolic health. …”
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SOCIO-ECONOMIC DETERMINANTS OF WOMEN PARTICIPATION IN AGRICULTURE IN OLAMABORO LOCAL GOVERNMENT AREA, KOGI STATE by Silas Joshua, Blessing Omahas

“… Women play a critical role in agricultural growth in developing countries, men and women smallholder farmers – even within the same household – often have different needs and priorities and experience different constraints in their access to agricultural resources and decision-making power. …”
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Microleakage after Thermocycling of Three Self-Etch Adhesives under Resin-Modified Glass-Ionomer Cement Restorations by Sabine O. Geerts, Laurence Seidel, Adelin I. Albert, Audrey M. Gueders

“…All results were considered to be significant at the 5% critical level (𝑃<.05). The results showed that bonding RMGIC to dentin with a Self-Etch adhesive rather than using polyacrylic acid did not influence microleakage scores (𝑃=.091), except for one tested Self-Etch adhesive, namely, Xeno III (𝑃<.0001). …”
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Association between NT-proBNP Level and the Severity of COVID-19 Pneumonia by Lan Wang, Fei Chen, Lin Bai, Lang Bai, Zhixin Huang, Yong Peng

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