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Mangrove derived fungal endophytes–a chemical and biological perception

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Fungal Diversity 2013年第4期61卷 1-27页

作者： Abdessamad Debbab amal h.aly Peter Proksch heinrich-heine-Universität Düsseldorf Institut für Pharmazeutische Biologie und BiotechnologieUniversitätsstr.1Geb.26.2340225 DüsseldorfGermany

The potential of mangrove-derived endophytic fungi as a promising source of diverse and structurally unprecedented bioactive natural products is unquestionable and continues to attract considerable *** review highlights new bioactive mangrove fungal metabolites and known compounds with hitherto unreported biological activities described during the last 10 *** compounds are categorized according to their reported biological activities,including cytotoxic,anti-infective,in addition to a wide range of miscellaneous activities such as protein kinase,αglucosidase,acetylcholinesterase and tyrosinase inhibitory activities,as well as antiangiogenic and neovascularisation effects,radical scavenging,DNA-binding affinity,and calcium and potassium channel blocking activity.

关键词： Fungi Endophytes Mangroves Bioactive natural products

Endophytes and associated marine derived fungi—ecological and chemical perspectives

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Fungal Diversity 2012年第6期57卷 45-83页

The potential of endophytes and algal or invertebrate associated marine derived fungi as promising sources of structurally unprecedented bioactive natural products is undeniable and continues to attract broad *** review highlights new bioactive fungal metabolites reported in 2011 until April 2012,as well as known compounds for which novel biological activities have been *** compounds are grouped according to their reported biological activities which include cytotoxic,anti-infective,as well as radical scavenging,enzyme inhibition,anti-fouling and anti-parasitic ***,178 fungal metabolites,including 138 new natural products are ***,new insights into fungal-host interaction,chemical communication,and chemo-ecological roles of fungal metabolites,as well as new strategies for bioprospecting are presented.

关键词： Fungi Endophytes Associated marine fungi Bioactive metabolites Natural products Biosynthetic pathways

Estimation of the Stress-Strength Reliability for Exponentiated Pareto Distribution Using Median and Ranked Set Sampling Methods

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Computers, Materials & Continua 2020年第8期64卷 835-857页

作者： Amer Ibrahim al-Omari Ibrahim M.almanjahie amal S.hassan heba F.Nagy Department of Mathematics Faculty of ScienceAl al-Bayt UniversityMafraq25113Jordan Department of Mathematics College of ScienceKing Khalid UniversityAbha62529Saudi Arabia Statistical Research and Studies Support Unit King Khalid UniversityAbha62529Saudi Arabia Faculty of Graduate Studies for Statistical Research Cairo UniversityGiza12613Egypt

In reliability analysis,the stress-strength model is often used to describe the life of a component which has a random strength(X)and is subjected to a random stress(Y).In this paper,we considered the problem of estimating the reliability𝑅𝑅=P[Yhen the distributions of both stress and strength are independent and follow exponentiated Pareto *** maximum likelihood estimator of the stress strength reliability is calculated under simple random sample,ranked set sampling and median ranked set sampling *** different reliability estimators under median ranked set sampling are *** estimators are obtained when both strength and stress have an odd or an even set *** two other estimators are obtained when the strength has an odd size and the stress has an even set size and vice *** performances of the suggested estimators are compared with their competitors under simple random sample via a simulation *** simulation study revealed that the stress strength reliability estimates based on ranked set sampling and median ranked set sampling are more efficient than their competitors via simple random *** general,the stress strength reliability estimates based on median ranked set sampling are smaller than the corresponding estimates under ranked set sampling and simple random sample ***:Stress-Strength model,ranked set sampling,median ranked set sampling,maximum likelihood estimation,mean square *** estimates under ranked set sampling and simple random sample methods.

关键词： Stress-Strength model ranked set sampling median ranked set sampling maximum likelihood estimation mean square error

Data Mining with Comprehensive Oppositional Based Learning for Rainfall Prediction

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Computers, Materials & Continua 2023年第2期74卷 2725-2738页

作者： Mohammad alamgeer amal al-Rasheed Ahmad alhindi Manar Ahmed hamza Abdelwahed Motwakel Mohamed I.Eldesouki Department of Information Systems College of Science&Art at MahayilKing Khalid UniversityAbha62529Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Computer Science College of Computing and Information SystemMecca24382Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharj16278Saudi Arabia Department of Information System College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAlKharj16278Saudi Arabia

Data mining process involves a number of steps fromdata collection to visualization to identify useful data from massive data *** same time,the recent advances of machine learning(ML)and deep learning(DL)models can be utilized for effectual rainfall *** this motivation,this article develops a novel comprehensive oppositionalmoth flame optimization with deep learning for rainfall prediction(COMFO-DLRP)*** proposed CMFO-DLRP model mainly intends to predict the rainfall and thereby determine the environmental ***,data pre-processing and correlation matrix(CM)based feature selection processes are carried *** addition,deep belief network(DBN)model is applied for the effective prediction of rainfall ***,COMFO algorithm was derived by integrating the concepts of comprehensive oppositional based learning(COBL)with traditional MFO ***,the COMFO algorithm is employed for the optimal hyperparameter selection of the DBN *** demonstrating the improved outcomes of the COMFO-DLRP approach,a sequence of simulations were carried out and the outcomes are assessed under distinct *** simulation outcome highlighted the enhanced outcomes of the COMFO-DLRP method on the other techniques.

关键词： Data mining rainfall prediction deep learning correlation matrix hyperparameter tuning metaheuristics

Deep Learning Based License Plate Number Recognition for Smart Cities

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Computers, Materials & Continua 2022年第1期70卷 2049-2064页

作者： T.Vetriselvi E.Laxmi Lydia Sachi Nandan Mohanty Eatedal alabdulkreem Shaha al-Otaibi amal al-Rasheed Romany F.Mansour Department of Computer Science and Engineering K.Ramakrishnan College of TechnologyTrichy620002India Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India Department of Computer Science&Engineering Vardhaman College of Engineering(Autonomous)Hyderabad501218India Department of Informatics and Computing Singidunum UniversitySerbia Computer Science Department College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11564Saudi Arabia Information Systems Department College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11564Saudi Arabia Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt

Smart city-aspiring urban areas should have a number of necessary elements in place to achieve the intended *** controlling and management of traffic conditions,increased safety and surveillance,and enhanced incident avoidance and management should be top priorities in smart city *** the same time,Vehicle License Plate Number Recognition(VLPNR)has become a hot research topic,owing to several real-time applications like automated toll fee processing,traffic law enforcement,private space access control,and road traffic *** VLPNR is a computer vision-based technique which is employed in the recognition of automobiles based on vehicle number *** current research paper presents an effective Deep Learning(DL)-based VLPNR called DLVLPNR model to identify and recognize the alphanumeric characters present in license *** proposed model involves two main stages namely,license plate detection and Tesseract-based character *** detection of alphanumeric characters present in license plate takes place with the help of fast RCNN with Inception V2 ***,the characters in the detected number plate are extracted using Tesseract Optical Character Recognition(OCR)*** performance of DL-VLPNR model was tested in this paper using two benchmark databases,and the experimental outcome established the superior performance of the model compared to other methods.

关键词： Deep learning smart city tesseract computer vision vehicle license plate recognition

Text Augmentation-Based Model for Emotion Recognition Using Transformers

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Computers, Materials & Continua 2023年第9期76卷 3523-3547页

作者： Fida Mohammad Mukhtaj Khan Safdar Nawaz Khan Marwat Naveed Jan Neelam Gohar Muhammad Bilal amal al-Rasheed Department of Computer Science The University of HaripurHaripur22620Pakistan Department of Computer Systems Engineering Faculty of Electrical and Computer EngineeringUniversity of Engineering and Technology PeshawarPeshawar25120Pakistan Department of Electronics Engineering Technology University of TechnologyNowshera24100Pakistan Department of Computer Science Shaheed Benazir BhuttoWomen UniversityPeshawar25000Pakistan Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Emotion Recognition in Conversations(ERC)is fundamental in creating emotionally ***-BasedNetwork(GBN)models have gained popularity in detecting conversational contexts for ERC ***,their limited ability to collect and acquire contextual information hinders their *** propose a Text Augmentation-based computational model for recognizing emotions using transformers(TA-MERT)to address *** proposed model uses the Multimodal Emotion Lines Dataset(MELD),which ensures a balanced representation for recognizing human *** used text augmentation techniques to producemore training data,improving the proposed model’s *** encoders train the deep neural network(DNN)model,especially Bidirectional Encoder(BE)representations that capture both forward and backward contextual *** integration improves the accuracy and robustness of the proposed ***,we present a method for balancing the training dataset by creating enhanced samples from the original *** balancing the dataset across all emotion categories,we can lessen the adverse effects of data imbalance on the accuracy of the proposed *** results on the MELD dataset show that TA-MERT outperforms earlier methods,achieving a weighted F1 score of 62.60%and an accuracy of 64.36%.Overall,the proposed TA-MERT model solves the GBN models’weaknesses in obtaining contextual data for ***-MERT model recognizes human emotions more accurately by employing text augmentation and transformer-based *** balanced dataset and the additional training samples also enhance its *** findings highlight the significance of transformer-based approaches for special emotion recognition in conversations.

关键词： Emotion recognition in conversation graph-based network text augmentation-basedmodel multimodal emotion lines dataset bidirectional encoder representation for transformer

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及时有效冲洗减轻化学喷溅伤害

中国应急管理 2024年第4期 89-90页

作者：无 [法]Jade Blomet [突尼斯]amal Bouraoui [比利时]Angélique Dachy [海地]Esméralda Destiné PREVOR(普利沃)公司不详

化学灼伤占全部烧伤病例的3%至10.7%,死亡率约占30%,在中国已是引起烧伤的第二大原因。而采取适当的干预措施可预防化学灼伤的发生或减轻灼伤的严重程度。化学灼伤的发生有两个环节:化学物质的渗透及其与人体组织的反应。有效的急救洗... 详细信息

化学灼伤占全部烧伤病例的3%至10.7%,死亡率约占30%,在中国已是引起烧伤的第二大原因。而采取适当的干预措施可预防化学灼伤的发生或减轻灼伤的严重程度。化学灼伤的发生有两个环节:化学物质的渗透及其与人体组织的反应。有效的急救洗消液不但可清除身体表面的化学物质,并能去除已渗透但尚未与人体组织发生反应的化学物质。

关键词：化学物质化学灼伤渗透干预措施烧伤

Computerized Detection of Limbal Stem Cell Deficiency from Digital Cornea Images

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Computer Systems Science & Engineering 2022年第2期40卷 805-821页

作者： hanan A.hosni Mahmoud Doaa S.Khafga amal h.alharbi Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11047KSA

Limbal Stem Cell Deficiency(LSCD)is an eye disease that can cause corneal opacity and *** its advanced stage it can lead to a degree of visual *** involves the changing in the semispherical shape of the cornea to a drooping shape to downwards *** is hard to be diagnosed at early *** color and texture of the cornea surface can provide significant information about the cornea affected by *** such as shape and texture are very crucial to differentiate normal from LSCD *** several medical approaches exist,most of them requires complicated procedure and medical ***,in this paper,we pursued the development of a LSCD detection technique(LDT)utilizing image processing *** diagnosis of LSCD is very crucial for physicians to arrange for effective *** the proposed technique,we developed a method for LSCD detection utilizing frontal eye images.A dataset of 280 eye images of frontal and lateral LSCD and normal patients were used in this ***,the cornea region of both frontal and lateral images is segmented,and the geometric features are extracted through the automated active contour model and the spline *** the texture features are extracted using the feature selection *** experimental results exhibited that the combined features of the geometric and texture will exhibit accuracy of 95.95%,sensitivity of 97.91% and specificity of 94.05% with the random forest classifier of n=*** a result,this research developed a Limbal stem cell deficiency detection system utilizing features’fusion using image processing techniques for frontal and lateral digital images of the eyes.

关键词： Feature extraction corneal opacity geometric features computerized detection image processing

Epidemiological observations of invasive group B Streptococcus infections in six major hospitals in Peninsular Malaysia

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Asian Pacific Journal of Tropical Medicine 2024年第9期17卷 384-391页

作者： AbdulRahman Muthanna Mohd Nasir Mohd Desa Nurul Asyikin Abdul Rahman Nurul Diana Dzaraly Nurul hana Zainal Baharin Nur Afiza Aziz Chua hui Shan Zalina Ismail Lailatul Akmar Mat Nor Marlindawati Mohd ali Nur hanani Ahmad Mohammad Noor amal Azmai Syafinaz Amin-Nordin Department of Biomedical Sciences Faculty of Medicine and Health SciencesUniversiti Putra Malaysia43400 SerdangSelangorMalaysia School of Biology Faculty of Applied SciencesUniversiti Teknologi MARANegeri Sembilan72000 Kuala PilahMalaysia Department of Oral Biology&Biomedical Sciences Faculty of DentistryMAHSA University42610 JenjaromSelangorMalaysia School of Bioscience Faculty of Pharmacy and Biomedical SciencesMAHSA University42610 JenjaromSelangorMalaysia Department of Pathology Sultanah Aminah Hospital80100 Johor BahruJohorMalaysia Department of Pathology Melaka General Hospital75400 MelakaMalaysia Department of Medical Microbiology and Immunology Faculty of MedicineUniversiti Kebangsaan Malaysia56000 CherasKuala LumpurMalaysia Department of Pathology Sultan Idris Shah Serdang Hospital43000 KajangSelangorMalaysia Department of Pathology Tuanku Ja'afar Hospital70300 SerembanNegeri SembilanMalaysia Department of Pathology Sungai Buloh Hospital47000 Sungai BulohSelangorMalaysia Department of Biology Faculty of ScienceUniversiti Putra Malaysia43400 SerdangSelangorMalaysia Aquatic Animal h.alth and Therapeutics Laboratory Institute of BioscienceUniversiti Putra Malaysia43400 SerdangSelangorMalaysia Department of Medical Microbiology Faculty of Medicine and Health SciencesUniversiti Putra Malaysia43400 SerdangSelangorMalaysia Department of Medical Microbiology Sultan Abdul Aziz Shah HospitalUniversiti Putra MalaysiaPersiaran MARDI-UPM43400SelangorMalaysia

Objective:To address the lack of research on invasive group B Streptococcus(GBS)infections in Malaysia and Southeast Asia through a comprehensive analysis of GBS isolates obtained from ***:Medical records from patients with GBS infection isolated from the sterile site,such as blood and cerebrospinal fluid from 14 July 2019 to 15 December 2020,were reviewed from six major hospitals in Peninsular *** criteria were invasive GBS,sterile sites and non-repeated GBS isolated from the same patients in the same *** isolates were re-identified for GBS and ***:A total of 118 patients were eligible,with a majority of non-pregnant adults(76.3%).Over half of the patients(62.7%)had underlying medical conditions,with diabetes as the most common disease,followed by respiratory disease,renal disease,cardiovascular disease and skin and soft tissue *** most common manifestations were sepsis,followed by soft tissue abscess,diabetic foot ulcer,wet gangrene and *** overall mortality was 7.6%.The most common serotype was serotype桋.Conclusions:Invasive GBS infection among non-pregnant adults showed a rising trend,particularly among diabetic *** study underscores the importance of reducing risk factors and highlights the necessity of developing GBS vaccination as a preventive strategy for both infants and adults.

关键词： Streptococcus agalactiae Group B Streptococcus Invasive GBS infections Malaysia