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Potent antioxidant peptides derived from honey major protein enhance tolerance of eukaryotic cells toward oxidative stress

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Food Production, Processing and Nutrition 2021年第1期3卷 115-124页

作者： Hisham r.ibrahim Fukiko Nanbu Takeshi Miyata Department of Biochemistry and Biotechnology Faculty of AgricultureKagoshima UniversityKagoshima 890-0065Japan

Honey is known for its medicinal benefits and receiving renewed attention as natural *** on health benefits of honey attributed its antioxidant activity to phenolic compounds,but the contribution of proteins and peptides to the antioxidant activity of honey is *** aim of this study was to explore the contribution of proteins and peptides to the antioxidant activity of honey,which remained obscure for *** honey proteins(THP)were isolated by dialysis method and hydrolyzed through simulated gastrointestinal *** hydrolysates were fractionated using size-exclusion *** antioxidant activity was determined by using superoxide radical-scavenging,DPPH reduction and intracellular rOS *** was shown to exhibit superoxide-scavenging activity but its pepsin-hydrolysate(HP-p)showed superior scavenging *** HP-p produced five peptide fractions(P1~P5)when fractionated on Sephacryl S-100 size-exclusion *** five fractions showed superoxide-scavenging activities and DPPH reducing activities,whereas the slow-eluting peptide fractions(P3 and P4)were the most ***-TOF/MS analysis identified a pentapeptide(TSNTF)as the dominant peptide in the active fractions P3 and *** colonic epithelial cells treated with P3 and P4 peptides exhibited lower intracellular rOS,when oxidative stress was induced by H2O2 or diethyl maleate(DEM),indicating strong tolerance to oxidative *** viabilities of human cells or yeast cells were largely decreases under oxidative stress,but treated cells with P3 and P4 showed higher viability compared with the untreated *** results are the first to describe a novel antioxidant peptide from honey that confer ex vivo anti-oxidative function within a complicated milieu of eukaryotic cells and pave the way for its potential as nutraceutical or therapeutic peptide for risk-reduction of oxidative-stress and related diseases.

关键词： Honey Proteins Biopeptides Antioxidant Intracellular oxidative stress

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Potential antioxidant bioactive peptides from camel milk proteins

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Animal Nutrition 2018年第3期4卷 273-280页

作者： Hisham r.ibrahim Hiroki Isono Takeshi Miyata Department of Biochemistry and Biotechnology Faculty of Agriculture Kagoshima University

Camel milk is traditionally considered to have medicinal characteristics that it has potential health benefits and could help to treat several illnesses. Particularly, it is closest to human breast milk and has high levels of nutrients and bioactive components. The aim of this study was to explore the antioxidant peptides derived from protein fractions of camel milk. Camel milk proteins(CMP) were fractionated into camel casein protein(CCP) and camel whey protein(CWP), which were hydrolyzed with pepsin to produce peptic digests P-CCP and P-CWP, respectively. rP-HPLC was used for fractionation of the peptides from the P-CCP and P-CWP. The antioxidant activities were evaluated using superoxide anion generating system of xanthine oxidase(XOD)and 2,2-diphenyl-1-picrylhydrazyl(DPPH) scavenging assay. Active peptides were analyzed using matrixassisted laser desorption ionization time of flight mass spectrometry(MALDI-TOF-MS) whereas a number of antioxidant peptides, with masses ranging from 913 to 2,951 Da, derived mainly from alpha-casein, lactophorin and lactoferrin, were identified. When yeast cells are used as a system for modeling mitochondrial disease, the peptides in caseins and whey fractions significantly enhanced the tolerance of yeast cells against peroxide-induced oxidative stress. The results show that both caseins and whey proteins of camel milk possess bioactive peptides with significant radical-scavenging activities and thus herald a fascinating opportunity for their potential as nutraceuticals or therapeutic peptides for prevention and treatment of oxidative stress-associated diseases.

关键词： Camel milk proteins Antioxidant Bioactive peptides Superoxide scavenging Yeast tolerance

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ActivityNET:Neural networks to predict public transport trip purposes from individual smart card data and POIs

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Geo-Spatial Information Science 2021年第4期24卷 711-721页

作者： Nilufer Sari Aslam Mohamed r.ibrahim Tao Cheng Huanfa Chen Yang Zhang SpaceTimeLab Department of CivilEnvironmental and Geomatic EngineeringUniversity College London(UCL)LondonUK Centre for Advanced Spatial Analysis(CASA) University College LondonLondonUK

Predicting trip purpose from comprehensive and continuous smart card data is beneficial for transport and city planners in investigating travel behaviors and urban ***,we propose a framework,ActivityNET,using Machine Learning(ML)algorithms to predict passengers’trip purpose from Smart Card(SC)data and Points-of-Interest(POIs)*** feasibility of the framework is demonstrated in two *** I focuses on extracting activities from individuals’daily travel patterns from smart card data and combining them with POIs using the proposed“activity-POIs consolidation algorithm”.Phase II feeds the extracted features into an Artificial Neural Network(ANN)with multiple scenarios and predicts trip purpose under primary activities(home and work)and secondary activities(entertainment,eating,shopping,child drop-offs/pick-ups and part-time work)with high *** a case study,the proposed ActivityNET framework is applied in Greater London and illustrates a robust competence to predict trip *** promising outcomes demonstrate that the cost-effective framework offers high predictive accuracy and valuable insights into transport planning.

关键词： Trip purpose prediction smart card data POIs neural networks machine learning

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Neuroprotective potential of Indigofera oblongifolia leaf methanolic extract against lead acetate-induced neurotoxicity

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Neural regeneration research 2016年第11期11卷 1797-1803页

作者： Saleh Al-Quraishy Mohamed A.Dkhil Shaimaa r.ibrahim Ahmed E.Abdel Moneim Department of Zoology College of Science King Saud University Riyadh Saudi Arabia Department of Zoology and Entomology Faculty of Science Helwan University Cairo Egypt Department of Molecular Drug Evaluation National Organization for Drug Control & Research (NODCAR) Giza Egypt

Lead （Pb） is one of the most common environmental toxicants, exposure to which can cause significant neurotoxicity and an associated decline in brain function. This study investigated the possible neuroprotective role oflndigofera oblongifolia leaf methanolic extract （IOLME） against lead-induced neurotoxicity. rats were intraperitoneally injected with lead acetate, with or without IOLME （intragastric administration for 5 days）, and the neuroprotective effect of IOLME was assessed by measuring the lead concentration, redox status （lipid peroxidation, nitric oxide and glutathione）, enzymatic antioxidant activities （superoxide dismutase, catalase, glutathione peroxidase and reductase）, PCr assays of apoptosis markers （Bax and Bcl-2） and histopathology of the brain. The increases in the lipid peroxidation, nitric oxide, and apoptosis, the decreases in the glutathione level and the activity of antioxidant enzymes, and the altered histology of the brain induced by lead acetate were mitigated in the brain of rats pre-treated with IOLME. These findings indicate that IOLME has beneficial effects and it mitigates lead acetate-induced neurotoxicity via its antiox-idant and anti-apoptotic activities.

关键词： nerve regeneration lead acetate, Indigofera oblongifolia neurotoxicity oxidative stress apoptosis neural regeneration

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Changing paradigms in lower extremity reconstruction in war-related injuries

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Journal of Medical Colleges of PLA(China) 2016年第2期31卷 104-109页

作者： Margaret Connolly Zuhaib r.ibrahim Owen N.Johnson III Department of Surgery University of Maryland Medical Center 22 S Greene St Baltimore MD 21201 USA Department of Plastic and reconstructive Surgery Johns Hopkins University School of Medicine 601 N Caroline St. Baltimore MD 21287 USA Johns Hopkins University School of Medicine 601 N Caroline St. Baltimore MD 21287 USA

Background: Ballistic high-energy trauma has substantially increased the severity of non-fatal extremity injuries incurred in modern warfare. Expedient medical care, refinement in surgical techniques, and soft tissue coverage have brought about a paradigm shift in the management of lower extremity wounds during the last decade with an increased emphasis on limb ***: A literature-based study was conducted to analyze reconstructive modalities based on the location, depth, and severity of wounds, as well as mechanism of injury, concomitant vascular injuries and open fractures, choice of flap, timing of definitive reconstruction, and ***: Extremity injuries account for over 60% of injuries in the recent conflicts in Iraq and Afghanistan, with the majority secondary to explosive devices. The severity of these injuries is profound compared with civilian registries, and conventional injury scoring systems have failed to accurately predict outcomes in combat trauma. The mainstay of treatment is serial debridement, negative pressure therapy, fracture stabilization, and treatment of concomitant injuries by the forward medical teams with subsequent definitive reconstruction after transport to an advanced military treatment facility. Autologous reconstruction with free tissue transfer and pedicled flaps remains the primary modality for soft tissue coverage in limb salvage. Adjunct innovative modalities, such as external tissue expansion, dermal substitutes, and regenerative matrices, have also been successfully utilized for limb ***: Lower extremity injuries account for the vast majority of injuries in modern warzones. Explosive devices represent the most common mechanism of injury, with blast impact leading to extensive soft tissue injuries necessitating complex reconstructive strategies. Serial debridement, negative pressure therapy, and autologous reconstruction with free tissue transfer and pedicled flaps remain the mainstay of t

关键词： Limb salvage Free flap Pedicled flap Lower extremity Blast injury Combat Battlefield reconstruction

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A Study on the Mechanical Properties of Polymer-Ceramic Composite Using Injection Moulding

A Study on the Mechanical Properties of Polymer-Ceramic Comp...

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2012年先进制造技术与系统国际会议

作者： N.Sa’ude M.ibrahim r.ibrahim Faculty of Mechanical and Manufacturing Engineering University Tun Hussein Onn Malaysia86400 Parit RajaBatu PahatJohorMalaysia.

This paper presents the development of a new polymer-ceramic composite material for use in injection molding *** material consists of palm oil fly ash(POFA) in a high density polyethylene(HDPE) *** this study,the effect of POFA was investigated as a filler material in polymer-ceramic matrix composite and HDPE was chosen as a matrix *** detailed formulations of mixing ratio with various combinations of the new polymer-ceramic composite are investigated *** on the result obtained,it was found that,the weight percentage increment of POFA filler affected the flexural and hardness *** work represents a major development in recycling of waste material from palm oil empty fruit bunch out of the refinery to produce polymer/ceramic matrix composite.

关键词： Polymer-ceramic matrix composites palm oil fly ash high density polyethylene injection moulding hardness tensile flexural.

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Numerical analysis of hemodynamic parameters in stenosed arteries under pulsatile flow conditions

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Medicine in Novel Technology and Devices 2023年第4期20卷 32-50页

作者： Priyambada Praharaj Chandrakant Sonawane Anand Pandey Vikas Kumar Arundhati Warke Hitesh Panchal r.ibrahim Chander Prakash Jayawant Shikshan Prasarak Mandal(JSPM)’s rajarshi Shahu College of Engineering PuneIndia Symbiosis Institute of Technology Symbiosis International Deemed UniversityPuneIndia Centre for Development of Advanced Computing(CDAC) PuneIndia Department of Mechanical Engineering Government Engineering College patanGujaratIndia Department of medical instruments engineering techniques Al-farahidi UniversityBaghdadIraq research&Developemnt SVKM’S Narsee Monjee Institute of Management StudiesMumbaiIndia Mukesh Patel School of Technology Management and Engineering SVKM’S Narsee Monjee Institute of Management StudiesMumbaiIndia

This research studies the changes in flow patterns and hemodynamic parameters of diverse shapes and sizes of *** different shapes and sizes of stenosis are constructed to investigate the variations in hemodynamics as the morphology *** in shape(trapezoidal and bell-shaped)and sizes of stenosis change the stresses on the walls and their flow *** and OSI results specify that trapezoidal stenosis exerts greater stress than bell-shaped ***,as the length of the trapezoidal stenosis increases,the TAWSS increases,whereas the trend is the opposite for bell-shaped ***,this paper also studies different degrees of stenosis extracted from real *** in velocity flow patterns,wall shear stress(WSS),Time-averaged wall shear stress(TAWSS)and Oscillatory shear index(OSI)have been studied for these *** illustrate that the peak velocity rises drastically as the stenosis percentage *** velocity is seen close to the artery's walls,indicating flow *** flow separation region is seen throughout the cycle except in the accelerating flow *** increase in stenosis also increases WSS and TAWSS *** WSS is seen downstream of stenosis,indicating flow *** negative WSS in the blood vessels also promotes endothelial *** values greater than 0.2 are seen near the stenosis region,indicating atherosclerosis *** of high OSI and low TAWSS are also identified,indicating probable regions of plaque development.

关键词： Cardiovascular Stenosis morphology real geometry CFD simulation Artificial compressibility method HLLC-AC Pulsatile velocity

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Image Splicing Forgery Detection Using Feature-Based of Sonine Functions and Deep Features

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Computers, Materials & Continua 2024年第1期78卷 795-810页

作者： Ala’a r.Al-Shamasneh rabha W.ibrahim Department of Computer Science College of Computer&Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Computer Science and Mathematics Lebanese American UniversityBeirut11022801Lebanon Department of Mathematics Mathematics Research CenterNear East UniversityNicosia99138Turkey Information and Communication Technology research Group Scientific Research CenterAlayen UniversityDhi Qar64001Iraq

The growing prevalence of fake images on the Internet and social media makes image integrity verification a crucial research *** of the most popular methods for manipulating digital images is image splicing,which involves copying a specific area from one image and pasting it into *** were made to mitigate the effects of image splicing,which continues to be a significant research *** study proposes a new splicing detectionmodel,combining Sonine functions-derived convex-based features and deep *** stages make up the proposed *** first step entails feature extraction,then classification using the“support vector machine”(SVM)to differentiate authentic and spliced *** proposed Sonine functions-based feature extraction model reveals the spliced texture details by extracting some clues about the probability of image *** proposed model achieved an accuracy of 98.93% when tested with the CASIA V2.0 dataset“Chinese Academy of Sciences,Institute of Automation”which is a publicly available dataset for forgery *** experimental results show that,for image splicing forgery detection,the proposed Sonine functions-derived convex-based features and deep features outperform state-of-the-art techniques in terms of accuracy,precision,and ***,the obtained detection accuracy attests to the benefit of using the Sonine functions alongside deep feature *** the regions or locations where image tampering has taken place is limited by the *** research will need to look into advanced image analysis techniques that can offer a higher degree of accuracy in identifying and localizing tampering regions.

关键词： Image forgery image splicing deep learning Sonine functions

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Classifying rockburst with confidence:A novel conformal prediction approach

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International Journal of Mining Science and Technology 2024年第1期34卷 51-64页

作者： Bemah ibrahim Isaac Ahenkorah University of South Australia UniSA STEMSA 5000Australia

The scientific community recognizes the seriousness of rockbursts and the need for effective mitigation *** literature reports various successful applications of machine learning(ML)models for rockburst assessment;however,a significant question remains unanswered:How reliable are these models,and at what confidence level are classifications made?Typically,ML models output single rockburst grade even in the face of intricate and out-of-distribution samples,without any associated confidence *** the susceptibility of ML models to errors,it becomes imperative to quantify their uncertainty to prevent consequential *** address this issue,we propose a conformal prediction(CP)framework built on traditional ML models(extreme gradient boosting and random forest)to generate valid classifications of rockburst while producing a measure of confidence for its *** proposed framework guarantees marginal coverage and,in most cases,conditional coverage on the test *** CP was evaluated on a rockburst case in the Sanshandao Gold Mine in China,where it achieved high coverage and efficiency at applicable confidence ***,the CP identified several“confident”classifications from the traditional ML model as unreliable,necessitating expert verification for informed *** proposed framework improves the reliability and accuracy of rockburst assessments,with the potential to bolster user confidence.

关键词： rockburst Machine learning Uncertainty quantification Conformal prediction

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Information Centric Networking Based Cooperative Caching Framework for 5G Communication Systems

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Computers, Materials & Continua 2024年第9期80卷 3945-3966页

作者： r.Mahaveerakannan Thanarajan Tamilvizhi Sonia Jenifer rayen Osamah ibrahim Khalaf Habib Hamam Department of Computer Science and Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesChennai602105India Department of Computer Science and Engineering Panimalar Engineering CollegeChennai600123India Department of Computer Science and Engineering Sathyabama Institute of Science and TechnologyChennai600119India Department of Solar Energy Al-Nahrain Research Center for Renewable EnergyAl-Nahrain UniversityJadriyaBaghdad64074Iraq Faculty of Engineering Universitéde MonctonNew BrunswickE1A3E9Canada Hodmas University College Mogadishu521376Somalia Bridges for Academic Excellence Tunis1002Tunisia School of Electrical Engineering University of JohannesburgAuckland ParkJohannesburg2006South Africa

The demands on conventional communication networks are increasing rapidly because of the exponential expansion of connected multimedia *** light of the data-centric aspect of contemporary communication,the information-centric network(ICN)paradigm offers hope for a solution by emphasizing content retrieval by name instead of *** 5G networks are to meet the expected data demand surge from expanded connectivity and Internet of Things(IoT)devices,then effective caching solutions will be required tomaximize network throughput andminimize the use of ***,an ICN-based Cooperative Caching(ICN-CoC)technique has been used to select a cache by considering cache position,content attractiveness,and rate *** findings show that utilizing our suggested approach improves caching regarding the Cache Hit ratio(CHr)of 84.3%,Average Hop Minimization ratio(AHMr)of 89.5%,and Mean Access Latency(MAL)of 0.4 *** a framework,it suggests improved caching strategies to handle the difficulty of effectively controlling data consumption in 5G *** improvements aim to make the network run more smoothly by enhancing content delivery,decreasing latency,and relieving *** improving 5G communication systems’capacity tomanage the demands faced by modern data-centric applications,the research ultimately aids in advancement.

关键词： Information-centric networking caching schemes 5G communication non-negative matrix factorization(NMF) weighted clustering algorithm

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