检索结果-南通市图书馆

Multifaceted roles of extracellular RNAs in different diseases

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Military Medical Research 2023年第3期10卷 359-368页

作者： Abdullah Muhammad Sohail Muhammad Babar Khawar ali Afzal ali Hassan sara Shahzaman Ahmed ali Molecular Medicine and Cancer Therapeutics Lab Department of ZoologyFaculty of SciencesUniversity of Central PunjabLahorePakistan Applied Molecular Biology and Biomedicine Lab Department of ZoologyUniversity of NarowalNarowalPakistan

Extracellular RNAs(exRNAs) are novel circulating factors that can be used as biomarkers in various diseases. Their unique and diverse kinds, as well as their role as biomarkers, make them significant biomarkers. There has been immense work carried out since the discovery of exRNAs in circulation and other biological fluids to catalog and determine whether exRNAs may be utilized as indicators for health and illness. In this review, we aim to understand the current state of exRNAs in relation to various diseases and their potential as biomarkers. We will also review current issues and challenges faced in using exRNAs, with clinical and lab trials, that can be used as viable markers for different diseases.

关键词： Extracellular RNAs(exRNAs) Extracellular vehicles(EVs) Cancer Biomarkers Exosomes

HybridWatermarking and Encryption Techniques for Securing Medical Images

在线全文

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2023年第7期46卷 403-416页

作者： Amel ali Alhussan Hanaa A.Abdallah sara Alsodairi Abdelhamied A.Ateya Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Electronics and Communications Engineering Zagazig UniversityZagazigSharqia44519Egypt

Securing medical data while transmission on the network is required because it is sensitive and life-dependent *** methods are used for protection,such as Steganography,Digital Signature,Cryptography,and *** paper introduces a novel robust algorithm that combines discrete wavelet transform(DWT),discrete cosine transform(DCT),and singular value decomposition(SVD)digital image-watermarking *** host image is decomposed using a two-dimensional DWT(2D-DWT)to approximate low-frequency sub-bands in the embedding *** the sub-band low-high(LH)is decomposed using 2D-DWT to four new *** resulting sub-band low-high(LH1)is decomposed using 2D-DWT to four new *** frequency bands,high-high(HH_(2))and high-low(HL_(2)),are transformed by DCT,and then the SVD is applied to the DCT *** strongest modified singular values(SVs)vary very little for most attacks,which is an important property of SVD *** two watermark images are encrypted using two layers of encryption,circular and chaotic encryption techniques,to increase *** first encrypted watermark is embedded in the S component of the DCT components of the HL_(2)*** second encrypted watermark is embedded in the S component of the DCT components of the HH2 *** suggested technique has been tested against various attacks and proven to provide excellent stability and imperceptibility results.

关键词： Watermarking discrete wavelet transform discrete cosine transform singular value decomposition circular encryption chaotic encryption

Opinions and attitudes toward targeted temperature management in the emergency department and intensive care unit in a developing country: a survey study

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

World Journal of Emergency Medicine 2023年第2期14卷 138-142页

作者： Abdullah Bakhsh Hadeel Alotaibi sara Alothman Abdulrahman Alothman Rahaf Alothman Abdulrahman Alsulami Malak Alamoudi ali Alothman ali Al-Shareef Department of Emergency Medicine the King Abdulaziz UniversityJeddah 21589Saudi Arabia Faculty of Medicine the King Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Anesthesia Intensive Care Unitthe King Abdulaziz UniversityJeddah 21589Saudi Arabia College of Medicine King Saud Bin Abdulaziz University for Health SciencesCollege of MedicineJeddah 21589Saudi Arabia King Abdulaziz Medical City Jeddah 21589Saudi Arabia King Abdullah International Medical Research Center Jeddah 21589Saudi Arabia

INTRODUCTION The past two decades have witnessed one of the most contentious scientific debates in the field of temperature management after cardiac arrest in *** started in 2002,following the publication of two groundbreaking trials showing lower mortality rates and improved neurologic recovery with the use of active cooling.[1,2]International recommendations advocate active cooling in the range of 32–34℃for comatose survivors of out-of-hospital cardiac arrest (OHCA).[3,4]The year2013 marked the tipping point with the release of the TTM 1 trial.

关键词： breaking release showing

Nutritional assessment in patients with liver cirrhosis

在线全文

学校读者我要写书评

暂无评论

World Journal of Hepatology 2022年第9期14卷 1694-1703页

作者： sara Haj ali Awni Abu Sneineh Reem Hasweh Department of Internal Medicine Faculty of MedicineAl-Balqa Applied UniversitySalt 19117Jordan Department of Gastroenterology and Hepatology University of JordanFaculty of MedicineAmman 11942Jordan

Malnutrition is a liver cirrhosis complication affecting more than 20%-50%of *** the term can refer to either nutrient deficiency or excess,it usually relates to undernutrition in cirrhosis *** is defined as limited physical function due to muscle weakness,whereas sarcopenia is defined as muscle mass loss and an advanced malnutrition *** pathogenesis of malnutrition in liver cirrhosis is multifactorial,including decreased oral intake,maldigestion/malabsorption,physical inactivity,hyperammonemia,hypermetabolism,altered macronutrient metabolism and gut microbiome *** with chronic liver disease with a Body Mass Index of<18.5 kg/m2 and/or decompensated cirrhosis or Child-Pugh class C are at the highest risk of *** patients at risk of malnutrition,a detailed nutritional assessment is required,typically including a history and physical examination,laboratory testing,global assessment tools and body composition *** latter can be done using anthropometry,cross-sectional imaging including computed tomography or magnetic resonance,bioelectrical impedance analysis and dual-energy X-ray absorptiometry.A multidisciplinary team should screen for and treat malnutrition in patients with *** and sarcopenia are associated with an increased risk of complications and a poor prognosis in patients with liver cirrhosis;thus,it is critical to diagnose these conditions early and initiate the appropriate nutritional *** this review,we describe the prevalence and pathogenesis of malnutrition in liver cirrhosis patients and discuss the best diagnostic approach to nutritional assessment for them.

关键词： Malnutrition Cirrhosis Nutritional assessment Sarcopenia Nutrition Frailty

Progress in 3D‑MXene Electrodes for Lithium/Sodium/Potassium/Magnesium/Zinc/Aluminum‑Ion Batteries

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Electrochemical Energy Reviews 2023年第1期6卷 756-789页

作者： Tariq Bashir Shaowen Zhou Shiqi Yang sara Adeeba Ismail Tariq ali Hao Wang Jianqing Zhao Lijun Gao College of Energy Soochow Institute for Energy and Materials InnovationsSoochow UniversitySuzhou 215006JiangsuChina Research Institute of Superconductor Electronics Nanjing UniversityNanjing 210023JiangsuChina

MXenes have attracted increasing attention because of their rich surface functional groups,high electrical conductivity,and outstanding dispersibility in many solvents,and have demonstrated competitive efficiency in energy storage and conversion ***,the restacking nature of MXene nanosheets like other two-dimensional(2D)materials through van der Waals forces results in sluggish ionic kinetics,restricted number of active sites,and ultimate deterioration of MXene mate-rial/device *** strategy of raising 2D MXenes into three-dimensional(3D)structures has been considered an efficient way for reducing restacking,providing greater porosity,higher surface area,and shorter distances for mass transport of ions,surpassing standard one-dimensional(1D)and 2D *** multivalent ion batteries,the positive multivalent ions combine with two or more electrons at the same time,so their capacities are two or three times that of lithium-ion batteries(LIBs)under the same conditions,e.g.,a magnesium ion battery has a high theoretical specific capacity of 2205 mAh g^(−1)and a high volumetric capacity of 3833 mAh cm^(−3).In this review,we summarize the most recent strategies for fabricating 3D MXene architectures,such as assembly,template,3D printing,electrospinning,aerogel,and gas foaming *** consideration has been given to the applications of highly porous 3D MXenes in energy storage devices beyond LIBs,such as sodium ion batteries(SIBs),potassium ion batteries(KIBs),magnesium ion batteries(MIBs),zinc ion batteries(ZIBs),and aluminum ion batteries(AIBs).Finally,the authors provide a summary of the future opportunities and challenges for the construction of 3D MXenes and MXene-based electrodes for applications beyond LIBs.

关键词： 3D MXene Fabrication methods Multivalent ion batteries Beyond LIBs

Deep Transfer Learning Based Detection and Classification of Citrus Plant Diseases

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第7期76卷 895-914页

作者： Shah Faisal Kashif Javed sara ali Areej Alasiry Mehrez Marzougui Muhammad Attique Khan Jae-Hyuk Cha Department of Robotics and Artificial Intelligence SMME NUSTIslamabadPakistan College of Computer Science King Khalid UniversityAbha61413Saudi Arabia Department of Computer Science HITEC UniversityTaxilaPakistan Department of Computer Science Hanyang UniversitySeoul04763Korea

Citrus fruit crops are among the world’s most important agricultural products,but pests and diseases impact their cultivation,resulting in yield and quality *** vision and machine learning have been widely used to detect and classify plant diseases over the last decade,allowing for early disease detection and improving agricultural *** paper presented an automatic system for the early detection and classification of citrus plant diseases based on a deep learning(DL)model,which improved accuracy while decreasing computational *** most recent transfer learning-based models were applied to the Citrus Plant Dataset to improve classification *** transfer learning,this study successfully proposed a Convolutional Neural Network(CNN)-based pre-trained model(EfficientNetB3,ResNet50,MobiNetV2,and InceptionV3)for the identification and categorization of citrus plant *** evaluate the architecture’s performance,this study discovered that transferring an EfficientNetb3 model resulted in the highest training,validating,and testing accuracies,which were 99.43%,99.48%,and 99.58%,*** identifying and categorizing citrus plant diseases,the proposed CNN model outperforms other cuttingedge CNN model architectures developed previously in the literature.

关键词： Citrus diseases classification deep learning transfer learning efficientNetB3 mobileNetV2 ResNet50 InceptionV3

Electromagnetic Coupling of Negative Parity Nucleon Resonances N(1535) Based on Nonrelativistic Constituent Quark Model

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Communications in Theoretical Physics 2018年第1期69卷 43-49页

作者： sara Parsaei ali Akbar Rajabi Faculty of Physics Shahrood University of Technology P.O. Box ***-316 Shahrood Iran Shams Institute of Higher Education Golestan Province Gonbad Iran

The electromagnetic transition between the nucleon and excited baryons has long been recognized as an important source of information for understanding strong interactions in the domain of quark confinement. We study the electromagnetic properties of the excitation of the negative parity the N~*(1535) resonances in the nonrelativistic constituent quark model at large momentum transfers and have performed a calculation the longitudinal and transverse helicity amplitudes. Since the helicity amplitudes depend strongly on the quark wave function in this paper, we consider the baryon as a simple, non-relativistically three-body quark model and also consider a hypercentral potential scheme for the internal baryon structure, which makes three-body forces among three quarks. Since the hyper central potential depends only on the hyper radius, therefore, the Cornell potential which is a combination of the Coulombic-like term plus a linear confining term is considered as the potential for interaction between quarks. In our work, in solving the Schrodinger equation with the Cornell potential, the Nikiforov–Uvarov method employed, and the analytic eigen-energies and eigen-functions obtained. By using the obtained eigen-functions, the transition amplitudes calculated. We show that our results in the range Q^2> 2GeV^2 lead to an overall better agreement with the experimental data in comparison with the other three non-relativistic quark models.

关键词：夸克模型电磁 Schrodinger 回声核子等值否定成分

Machine Learning Techniques for Software Maintainability Prediction:Accuracy Analysis

在线全文

学校读者我要写书评

暂无评论

Journal of Computer Science & Technology 2020年第5期35卷 1147-1174页

作者： sara Elmidaoui Laila Cheikhi ali Idri Alain Abran Softtrare Project Management TeamEcole Nationale Superieure d'Informattique et d'Analyse des SystemesMadinate Al IrfaneMohammed V University in Rabat.Agdal RabatBP 713Morocco Department of Software Engineering&Infonnation Technology Ecole de Technologie Superieure(ETS)Montreal HSC IKSCanada

Maintaining software once implemented on the end-user side is laborious and,over its lifetime,is most often considerably more expensive than the initial software *** prediction of software maintainability lias emerged as an important research topic to address industry expectations for reducing costs,in particular,maintenance *** and practitioners have been working on proposing and identifying a variety of techniques ranging from statistical to machine learning(ML)for better prediction of software *** review has been carried out to analyze the empirical evidence on the accuracy of software product maintainability prediction(SPMP)using ML *** paper analyzes and discusses the findings of 77 selected studies published from 2000 to 2018 according to the following criteria:maintainability prediction techniques,validation methods,accuracy criteria,overall accuracy of ML techniques,and the techniques offering the best *** review process followed the well-known syslematic review *** results show that ML techniques are frequently used in predicting *** particular,artificial neural network(ANN),support vector machine/regression(SVM/R).regression&decision trees(DT),and fuzzy neuro fuzzy(FNF)techniques are more accurate in terms of PRED and *** N-fold and leave-one-out cross-validation methods,and the MMRE and PRED accuracy criteria are frequently used in empirical *** general,ML techniques outperformed non-machine learning techniques,e.g.,regression analysis(RA)techniques,while FNF outperformed SVM/*** ANN in most ***,while many techniques were reported superior,no specific one can be identified as the best.

关键词： accuracy criterion accuracy value machine learning technique maintainability prediction

Design and preparation of a new multi-targeted drug delivery system using multifunctional nanoparticles for co-delivery of siRNA and paclitaxel

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Pharmaceutical Analysis 2021年第2期11卷 163-173页

作者： sara Hosayni Nasab Amin Amani Hossein ali Ebrahimi ali Asghar Hamidi Department of Agronomy and Plant Breeding Faculty of Agriculture and Natural ResourcesUniversity of Mohaghegh ArdabiliArdabilIran Biotechnology Research Center Tabriz University of Medical SciencesTabrizIran Department of Pharmaceutics School of PharmacyArdabil University of Medical SciencesArdabilIran Department of Medicinal Chemistry Faculty of PharmacyTabriz University of Medical SciencesTabrizIran

Drug resistance is a great challenge in cancer therapy using chemotherapeutic agents. Administration of these drugs with siRNA is an efficacious strategy in this battle. Here, the present study tried to incorporate siRNA and paclitaxel(PTX) simultaneously into a novel nanocarrier. The selectivity of carrier to target cancer tissues was optimized through conjugation of folic acid(FA) and glucose(Glu) onto its surface. The structure of nanocarrier was formed from ternary magnetic copolymers based on FeCopolyethyleneimine(FeCo-PEI) nanoparticles and polylactic acid-polyethylene glycol(PLA-PEG) gene delivery system. Biocompatibility of FeCo-PEI-PLA-PEG-FA(NPsA), FeCo-PEI-PLA-PEG-Glu(NPsB) and FeCo-PEI-PLA-PEG-FA/Glu(NPsAB) nanoparticles and also influence of PTX-loaded nanoparticles on in vitro cytotoxicity were examined using MTT assay. Besides, siRNA-FAM internalization was investigated by fluorescence microscopy. The results showed the blank nanoparticles were significantly less cytotoxic at various concentrations. Meanwhile, siRNA-FAM/PTX encapsulated nanoparticles exhibited significant anticancer activity against MCF-7 and BT-474 cell lines. NPsAB/siRNA/PTX nanoparticles showed greater effects on MCF-7 and BT-474 cells viability than NPsA/siRNA/PTX and NPsB/siRNA/***, they induced significantly higher anticancer effects on cancer cells compared with NPsA/siRNA/PTX and NPsB/siRNA/PTX due to their multi-targeted properties using FA and Glu. We concluded that NPsAB nanoparticles have a great potential for co-delivery of both drugs and genes for use in gene therapy and chemotherapy.

关键词： Paclitaxel siRNA Targeted drug delivery Magnetic nanoparticles Polymeric drug delivery