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Interrelationship between Toll-like receptors and infection after orthotopic liver transplantation

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World Journal of Transplantation 2020年第6期10卷 162-172页

作者： mahmoud El-Bendary mustafa Naemattalah ahmed Yassen Naser mousa Dina Elhammady ahmed m sultan mohamed Abdel-Wahab Department of Tropical medicine and Hepatology Faculty of MedicineMansoura UniversityMansoura 35111Egypt Department of medical Biochemistry Faculty of MedicineMansoura UniversityMansoura 35111Egypt Gastroenterology Surgical Centre Faculty of MedicineMansoura UniversityMansoura 35111Egypt

Early microbial recognition by the innate immune system is accomplished by Toll-like receptors(TLRs),with resultant initiation of a pro-inflammatory response against infecting *** spite of presence of an abundance of Toll-like receptors on the surface of the liver,gut bacteria does not elicit an inflammatory reaction in healthy individuals due to tolerance to these TLRs,suggesting that the inflammatory responses seen in the liver are the result of breakdown of this *** orthotopic liver transplantation is often life saving in many instances,death following this procedure is most commonly due to infection that occurs in up to 80%of transplant recipients,most commonly due to microbial causes in up to 70%of cases and viral infections in 20%,while fungal infections affect only 8%of *** probability of acquiring infection following hepatic transplantation is heightened due to affection of the innate immune defense mechanisms of the host following this *** nucleotide polymorphisms of TLRs have been associated with increased likelihood of either development of post-transplant infection or eradication of infecting ***,conflicting reports from other studies reveal that prevalence of this single nucleotide polymorphism is not increased in infected patients.

关键词： Toll like receptors Infection Liver transplantation Cirrhosis Immunity Orthotopic

Dissolution mechanism and kinetics ofβ(mg_(17)Al_(12))phases in AZ91 magnesium alloy

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Journal of magnesium and Alloys 2024年第4期12卷 1581-1592页

作者： sultan Alomairy Department of Physics College of ScienceTaif UniversityTaif 21944Saudi Arabia

In this study,the phase transformations,crystallization kinetics and dissolution mechanism ofβphase(mg_(17)Al_(12))in magnesium alloy AZ91 were investigated by optical microscopy,X-ray diffraction,differential scanning calorimetry and differential *** results indicate that this AZ91 alloy undergoes a phase transformation during aging,a discontinuous precipitation of theβphase(mg_(17)Al_(12))at 150℃at the grain boundaries and another continuous at 350℃within the *** activation energy of the dissolution reaction of theβphase(mg_(17)Al_(12))under non-isothermal conditions is 116.781 kJ/mol,while it is 129.7383 kJ/mol under isothermal *** Avrami coefficient,n,relevant for the dissolution kinetics of theβphase(mg_(17)Al_(12))is 1.152 and 1.211 in the non-isothermal and isothermal conditions *** numerical coefficients m and Avrami n are 0.993 and 1.152.

关键词： AZ91 kinetics β(mg_(17)Al_(12)) Activation energy Discontinuous precipitation Continuous precipitation DSC

Novel Framework for an Intrusion Detection System Using multiple Feature Selection methods Based on Deep Learning

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Tsinghua Science and Technology 2024年第4期29卷 948-958页

作者： A.E.m.Eljialy mohammed Yousuf Uddin sultan Ahmad Department of Information Systems College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabia Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabiaand also with University Center for Research and Development(UCRD)Department of Computer Science and EngineeringChandigarh UniversityPunjabIndia

Intrusion detection systems (IDSs) are deployed to detect anomalies in real time. They classify a network’s incoming traffic as benign or anomalous (attack). An efficient and robust IDS in software-defined networks is an inevitable component of network security. The main challenges of such an IDS are achieving zero or extremely low false positive rates and high detection rates. Internet of Things (IoT) networks run by using devices with minimal resources. This situation makes deploying traditional IDSs in IoT networks unfeasible. machine learning (mL) techniques are extensively applied to build robust IDSs. many researchers have utilized different mL methods and techniques to address the above challenges. The development of an efficient IDS starts with a good feature selection process to avoid overfitting the mL model. This work proposes a multiple feature selection process followed by classification. In this study, the Software-defined networking (SDN) dataset is used to train and test the proposed model. This model applies multiple feature selection techniques to select high-scoring features from a set of features. Highly relevant features for anomaly detection are selected on the basis of their scores to generate the candidate dataset. multiple classification algorithms are applied to the candidate dataset to build models. The proposed model exhibits considerable improvement in the detection of attacks with high accuracy and low false positive rates, even with a few features selected.

关键词： random forest feature selection decision tree software-defined network logistic regression intrusion detection system XGB classifier AdaBoost

Design of a Lightweight Compressed Video Stream-Based Patient Activity monitoring System

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Computers, materials & Continua 2024年第1期78卷 1253-1274页

作者： Sangeeta Yadav Preeti Gulia Nasib Singh Gill Piyush Kumar Shukla Arfat Ahmad Khan sultan Alharby ahmed Alhussen mohd Anul Haq Department of Computer Science&Applications Maharshi Dayanand UniversityRohtak124001India University Institute of Technology Rajiv Gandhi Proudyogiki VishwavidyalayaBhopal462033India Department of Computer Science College of ComputingKhon Kaen UniversityKhon Kaen40002Thailand Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl Majmaah11952Kingdom of Saudi Arabia Department of Computer Engineering College of Computer and Information SciencesMajmaah UniversityAl Majmaah11952Kingdom of Saudi Arabia

Inpatient falls from beds in hospitals are a common *** falls may result in severe *** problem can be addressed by continuous monitoring of patients using *** advancements in deep learning-based video analytics have made this task of fall detection more effective and *** with fall detection,monitoring of different activities of the patients is also of significant concern to assess the improvement in their *** computation-intensive models are required to monitor every action of the patient *** requirement limits the applicability of such ***,to keep the model lightweight,the already designed fall detection networks can be extended to monitor the general activities of the patients along with the fall *** by the same notion,we propose a novel,lightweight,and efficient patient activity monitoring system that broadly classifies the patients’activities into fall,activity,and rest classes based on their *** whole network comprises three sub-networks,namely a Convolutional Neural Networks(CNN)based video compression network,a Lightweight Pose Network(LPN)and a Residual Network(ResNet)mixer block-based activity recognition *** compression network compresses the video streams using deep learning networks for efficient storage and retrieval;after that,LPN estimates human ***,the activity recognition network classifies the patients’activities based on their *** proposed system shows an overall accuracy of approx.99.7% over a standard dataset with 99.63% fall detection accuracy and efficiently monitors different events,which may help monitor the falls and improve the inpatients’health.

关键词： Fall detection activity recognition human pose estimation accuracy

Effect of mitomycin C on the corneal endothelial cells of Saudi patients with myopia after transepithelial photorefractive keratectomy:a two-armed cohort study

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International Journal of Ophthalmology(English edition) 2024年第5期17卷 909-915页

作者： sultan H Alrashidi Department of Ophthalmology College of MedicineQassim UniversityBuraidah 51452Saudi Arabia

AIm:To study the effect of mitomycin C(mmC)applied during transepithelial photorefractive keratectomy(TPRK)on the corneal endothelium one week(W1)and three months(m3)after surgery and its ***:In this two-armed cohort study conducted in 2022,eyes treated with mmC during TPRK(group 1)were compared with eyes not treated with mmC(group 2).The corneal endothelial cell(EC)count,EC density(ECD;cells/mm2),average(μm2),standard deviation(μm2),coefficient of variation(CV%),ECmax,ECmin,and EC percentage of hexagonality were estimated at W1 and *** postoperative changes in the EC count in the two groups were compared and correlated with the other independent ***:Group 1 had 26 eyes,and group 2 had 78 *** TPRK indices were significantly higher for the eyes in group 1 than for those in group *** mmC usage was not a significant predictor of the change in ECD(P=0.644),change in CV(P=0.374),and change in the percentage of hexagonality of EC(P=0.164)at ***,the use of mmC was a significant predictor of changes in CV(P=0.014)and the change in the percentage of hexagonality of EC(P=0.039)at *** duration of laser exposure and the size of the optical zone influenced the correlation of mmC use with the changes in EC indices,***:The use of mmC doesn’t affect ECD,CV,and percentage of hexagonality at W1 if other surgical indices are *** m3 after operating myopic eyes by TPRK,mmC significantly influence the CV and percentage of *** duration of the laser application and the size of the optical zone should be considered when determining the effect of mmC on the EC indices.

关键词： transepithelial photorefractive keratectomy mitomycin-C corneal endothelium

EDSUCh:A robust ensemble data summarization method for effective medical diagnosis

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Digital Communications and Networks 2024年第1期10卷 182-189页

作者： mohiuddin ahmed A.N.m.Bazlur Rashid School of Science Edith Cowan UniversityPerthAustralia

Identifying rare patterns for medical diagnosis is a challenging task due to heterogeneity and the volume of *** summarization can create a concise version of the original data that can be used for effective *** this paper,we propose an ensemble summarization method that combines clustering and sampling to create a summary of the original data to ensure the inclusion of rare *** the best of our knowledge,there has been no such technique available to augment the performance of anomaly detection techniques and simultaneously increase the efficiency of medical *** performance of popular anomaly detection algorithms increases significantly in terms of accuracy and computational complexity when the summaries are ***,the medical diagnosis becomes more effective,and our experimental results reflect that the combination of the proposed summarization scheme and all underlying algorithms used in this paper outperforms the most popular anomaly detection techniques.

关键词： Data summarization Ensemble medical diagnosis Sampling

Enhancing cotton resilience to challenging climates through genetic modifications

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Journal of Cotton Research 2024年第2期7卷 196-206页

作者： ahmed Ali Ijaz KHAN Azeem Iqbal NEGm mohamed A.m. IQBAL Rida AZHAR muhammad Tehseen KHAN sultan Habibullah RANA Iqrar Ahmad Department of Plant Breeding and Genetics University of AgricultureFaisalabadFaisalabad 38000Pakistan Cotton Research Institute-Giza GizaEgypt Centre for Advanced Studies in Agriculture and Food Security University of AgricultureFaisalabadFaisalabad 38000Pakistan Centre of Agricultural Biochemistry and Biotechnology University of AgricultureFaisalabadFaisalabad 38000Pakistan School of Agriculture Sciences Zhengzhou UniversityZhengzhou 450000China

Cotton is one of the most important fiber crops that plays a vital role in the textile *** production has been unstable over the years due to climate change induced biotic stresses such as insects,diseases,and weeds,as well as abiotic stresses including drought,salinity,heat,and *** breeding methods have been used to breed climate resilient cotton,but it requires a considerable amount of time to enhance crop tolerance to insect pests and changing climatic conditions.A promising strategy for improving tolerance against these stresses is genetic *** review article discusses the role of genetic engineering in cotton *** essential concepts and techniques include genome editing via clustered regularly interspaced short palindromic repeats(CRISPR)/CRISPR-associated protein 9(CRISPR-Cas9),overexpression of target genes,downregulation using RNA interference(RNAi),and virus-induced gene silencing(VIGS).Notably,the Agrobacterium-mediated transformation has made significant contributions to using these techniques for obtaining stable transgenic plants.

关键词： Cotton Genome editing Drought Salinity Heat

Improving the Transmission Security of Vein Images Using a Bezier Curve and Long Short-Term memory

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Computers, materials & Continua 2024年第6期79卷 4825-4844页

作者： ahmed H.Alhadethi Ikram Smaoui ahmed Fakhfakh Saad m.Darwish Computer Science and School of Electronics and Telecommunications University of SfaxSfax3029Tunisia LETI Laboratory University of SfaxSfax3029Tunisia Digital Research Center of Sfax Technopark of SfaxSfax3029Tunisia Department of Information Technology Institute of Graduate Studies and ResearchAlexandria UniversityAlexandriaEgypt

The act of transmitting photos via the Internet has become a routine and significant *** the security measures to safeguard these images from counterfeiting and modifications is a critical domain that can still be further *** study presents a system that employs a range of approaches and algorithms to ensure the security of transmitted venous *** main goal of this work is to create a very effective system for compressing individual biometrics in order to improve the overall accuracy and security of digital photographs by means of image *** paper introduces a content-based image authentication mechanism that is suitable for usage across an untrusted network and resistant to data loss during *** employing scale attributes and a key-dependent parametric Long Short-Term memory(LSTm),it is feasible to improve the resilience of digital signatures against image deterioration and strengthen their security against malicious ***,the successful implementation of transmitting biometric data in a compressed format over a wireless network has been *** applications involving the transmission and sharing of images across a *** suggested technique utilizes the scalability of a structural digital signature to attain a satisfactory equilibrium between security and picture *** effective adaptive compression strategy was created to lengthen the overall lifetime of the network by sharing the processing of *** scheme ensures a large reduction in computational and energy requirements while minimizing image quality *** approach employs multi-scale characteristics to improve the resistance of signatures against image *** proposed system attained a Gaussian noise value of 98%and a rotation accuracy surpassing 99%.

关键词： Image transmission image compression text hiding Bezier curve Histogram of Oriented Gradients(HOG) LSTm image enhancement Gaussian noise rotation

Blockchain for secure and decentralized artificial intelligence in cybersecurity: A comprehensive review

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Blockchain(Research and Applications) 2024年第3期5卷 184-208页

作者： ahmed m.Shamsan Saleh Department of Information Technology University of TabukTabuk47512Saudi Arabia

As the use of artificial intelligence (AI) grows within the field of cybersecurity, so does the demand for secure and decentralized AI systems to protect against potential cyber threats. Blockchain technology has emerged as the ideal approach for increasing both the security and privacy of AI systems since it provides decentralized and immutable data storage. This systematic literature review focuses on the integration of blockchain technology with decentralized AI within cybersecurity. It provides a comprehensive taxonomy of blockchain technology and decentralized AI for cybersecurity, serving as the starting point for the study. This paper begins with an overview of blockchain technology and its possible uses in cybersecurity and also analyzes its challenges and opportunities. Decentralized AI is also covered in the study, along with its potential advantages and difficulties in decentralized AI cybersecurity. Building on that foundation, this study provides convincing findings highlighting the beneficial relationships between blockchain technology and decentralized AI for cybersecurity, contributing to a nuanced comprehension of their integration. moreover, it offers real-world uses of blockchain-enabled, decentralized AI to discuss its usefulness in tackling cybersecurity concerns. Finally, this paper discusses future research directions for blockchain-enabled decentralized AI in cybersecurity, including potential applications and implications of this technology in the field, emphasizing the potential of blockchain-enabled decentralized AI in cybersecurity to enhance security, privacy, and trust in AI systems.

关键词： Blockchain Artificial intelligence Decentralized Cybersecurity