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Genetic Variability and Phenotypic Correlations Study among Grain Quality Traits and mineral Elements Concentrations in Colored and Non-Colored Rice (Oryza sativa L.)

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Phyton-International Journal of Experimental Botany 2024年第7期93卷 1733-1748页

作者： Adel A.Rezk mohamed m.El-malky heba I.mohamed Hossam S.El-Beltagi Agricultural Biotechnology Department College of Agricultural and Food ScienceKing Faisal UniversityAl-Ahsa31982Saudi Arabia Plant Pathology Research Institute Agriculture Research CenterGiza12619Egypt Rice Research and Training Center Field Crop Research InstituteAgriculture Research Center33717Egypt Biological and Geological Sciences Department Faculty of EducationAin Shams UniversityCairo11511Egypt Biochemistry Department Faculty of AgricultureCairo UniversityGiza12613Egypt

Twenty-four rice genotypes were examined to assess genetic variability,heritability,and correlations for seven-grain quality traits,eight nutritional elements,and *** revealed signiﬁcant differences for the quality traits *** every trait under study,the phenotypic coefﬁcient of variation was higher than the correspon-dence genotypic coefﬁcient of *** in a broad sense varied from 29.75%for grain length to 98.31%for the elongation *** percentage recovery had a highly signiﬁcant positive correlation with milling and head rice ***,milling percentage had a highly positive correlation with head rice *** amylose percentage,all the genotypes belonged to low amylose except the Hassawi-1 variety,which had intermediate amylose *** nutrition contents of magnesium(mg),sodium(Na),potas-sium(K),calcium(Ca),copper(Cu),manganese(mn),zinc(Zn),iron(Fe),or protein percentage gave different variations for 24 rice genotypes under all the nutritional *** the 24 genotypes,ten rice genotypes–HighNutrient-1,HighNutrient-2,HighNutrient-9,HighNutrient-8,HighNutrient-3,Hassawi-2,HighNutrient-7,HighNutrient-6,Hassawi-1,and HighNutrient-4–had the highest heist value for all nutritional and protein con-tents,and could be used as a donor to improving new *** was a positive and signiﬁcant correlation between magnesium mg,K,Zn and ***,K had a positive correlation with zinc Zn,Fe,and protein *** analysis was divided into two groups:theﬁrst group included all genotypes rich in nutri-ents,while the remaining genotypes with low nutritional content were included in the second group.

关键词： Amylose cluster analysis genotypes grain quality mineral nutrition rice

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Optimization of Cooperative Relayingmolecular Communications for Nanomedical Applications

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Computer modeling in Engineering & Sciences 2024年第2期138卷 1259-1275页

作者： Eman S.Attia Ashraf A.m.Khalaf Fathi E.Abd El-Samie Saied m.Abd El-atty Konstantinos A.Lizos Osama Alfarraj heba.m.El-Hoseny Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61111Egypt Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Informatics Faculty of Mathematics and Natural SciencesUniversity of Oslo(UiO)OsloNorway Computer Science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Department of Computer science The Higher Future Institute for Specialized Technological StudiesEl ShoroukEgypt

Recently,nano-systems based on molecular communications via diffusion(mCvD)have been implemented in a variety of nanomedical applications,most notably in targeted drug delivery system(TDDS)***,because the mCvD is unreliable and there exists molecular noise and inter symbol interference(ISI),cooperative nano-relays can acquire the reliability for drug delivery to targeted diseased cells,especially if the separation distance between the nano transmitter and nano receiver is *** this work,we propose an approach for optimizing the performance of the nano system using cooperative molecular communications with a nano relay scheme,while accounting for blood flow effects in terms of drift *** fractions of the molecular drug that should be allocated to the nano transmitter and nano relay positioning are computed using a collaborative optimization problem solved by themodified Central Force Optimization(mCFO)*** the previous work,the probability of bit error is expressed in a closed-form *** is used as an objective function to determine the optimal velocity of the drug molecules and the detection threshold at the nano *** simulation results show that the probability of bit error can be dramatically reduced by optimizing the drift velocity,detection threshold,location of the nano-relay in the proposed nano system,and molecular drug budget.

关键词： Nanomedical system molecular communication cooperative relay optimization

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Dysfunction of the adhesion G protein-coupled receptor latrophilin 1(ADGRL1/LPHN1)increases the risk of obesity

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Signal Transduction and Targeted Therapy 2024年第5期9卷 2298-2311页

作者： heba ZabriTorsten Schöneberg AndréNguyen Dietzsch Hadi Al-Hasani Joachim Altschmied Katharina Bottermann Jana Brendler Judith Haendeler Susanne Horn Isabell Kaczmarek Antje Körner Kerstin Krause Kathrin Landgraf Diana Le Duc Laura Lehmann Stefan Lehr Stephanie Pick Albert Ricken Rene Schnorr Angela Schulz martina Strnadová Akhil Velluva heba Zabri Torsten Schöneberg Doreen Thor Simone Prömel Rudolf Schönheimer Institute of Biochemistry Medical FacultyLeipzig UniversityLeipzigGermany Institute for Clinical Biochemistry and Pathobiochemistry Medical FacultyGerman Diabetes CenterLeibniz Center for Diabetes Research at Heinrich Heine University DüsseldorfDüsseldorfGermany German Center for Diabetes Research(DZD e.V.) Munich-NeuherbergGermany Cardiovascular Degeneration Clinical Chemistry and Laboratory DiagnosticsMedical FacultyUniversity Hospital and Heinrich Heine University DüsseldorfDüsseldorfGermany Cardiovascular Research Institute(CARID) Medical FacultyUniversity Hospital and Heinrich Heine University DüsseldorfDüsseldorfGermany Institute of Pharmacology Medical FacultyUniversity Hospital and Heinrich Heine University DüsseldorfDüsseldorfGermany Institute of Anatomy Medical FacultyLeipzig UniversityLeipzigGermany Center for Pediatric Research Hospital for Children and AdolescentsMedical FacultyLeipzig UniversityLeipzigGermany Helmholtz Institute for metabolic Obesity and Vascular Research(HI-MAG)of the Helmholtz Zentrum München at the University of Leipzig and University Hospital LeipzigLeipzigGermany Department of Endocrinology NephrologyRheumatologyLeipzig University Medical CenterLeipzigGermany Institute of Human Genetics Leipzig University Medical CenterLeipzigGermany Institute of Cell Biology Department of BiologyHeinrich Heine University DüsseldorfDüsseldorfGermany School of medicine University of Global Health EquityKigaliRwanda

Obesity is one of the diseases with severe health consequences and rapidly increasing worldwide *** the complex network of food intake and energy balance regulation is an essential prerequisite for pharmacological intervention with obesity.G protein-coupled receptors(GPCRs)are among the main modulators of metabolism and energy ***,for instance,regulate appetite and satiety in certain hypothalamic neurons,as well as glucose and lipid metabolism and hormone secretion from *** in some GPCRs,such as the melanocortin receptor type 4(mC4R),have been associated with early-onset ***,we identified the adhesion GPCR latrophilin 1(ADGRL1/LPHN1)as a member of the regulating network governing food intake and the maintenance of energy *** of the highly conserved receptor in mice results in increased food consumption and severe obesity,accompanied by dysregulation of glucose ***,we identified a partially inactivating mutation in human ADGRL1/LPHN1 in a patient suffering from ***,we propose that LPHN1 dysfunction is a risk factor for obesity development.

关键词： obesity metabolism intake

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Adherence to Advisory Committee on Immunization Practices in diabetes mellitus patients in Saudi Arabia:A multicenter retrospective study

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World Journal of Diabetes 2024年第3期15卷 440-454页

作者： Saleh Fahad Alqifari Aya K Esmail Dalal m Alarifi Ghalya Y Alsuliman maram m Alhati may R mutlaq mohammed Aldhaeefi Shaden A Alshuaibi Palanisamy Amirthalingam Abrar Abdallah Afaf S Wasel heba R Hamad Shoroq Alamin Tasneem H Atia Tariq Alqahtani Department of Pharmacy Practice University of TabukTabuk 71491Saudi Arabia Department of Clinical Sciences Sulaiman Alrajhi UniversityQassim 52726Saudi Arabia Department of Family medicine International Medical CenterJeddah 23214Saudi Arabia Clinical and Administrative Pharmacy Sciences College of PharmacyHoward UniversityWashingtonDC 20059United States Department of Pharmacology King Saud Bin Abdulaziz University for Health SciencesKing Abdullah International Medical Research CenterRiyadh 11481Saudi Arabia

BACKGROUND Patients with diabetes mellitus(Dm)are predisposed to an increased risk of infection signifying the importance of vaccination to protect against its potentially severe *** Centers for Disease Control and Prevention/Advisory Committee on Immunization Practices(CDC/ACIP)issued immunization recommendations to protect this patient *** To assess the adherence of patients with Dm to the CDC/ACIP immunization recommendations in Saudi Arabia and to identify the factors associated with the vaccine adherence *** An observational retrospective study conducted in 2023 was used to collect data on the vaccination records from 13 diabetes care centers in Saudi Arabia with 1000 eligible patients in phase I with data collected through chart review and 709 patients in phase II through online *** Among participants,10.01%(n=71)had never received any vaccine,while 85.89%(n=609)received at least one dose of the coronavirus disease 2019(COVID-19)vaccine,and 34.83%(n=247)had received the annual influenza *** 2.96%(n=21),2.11%(n=15),and 1.12%(n=8)received herpes zoster,tetanus,diphtheria,and pertussis(Tdap),and human papillomavirus(HPV)vaccines,*** patients with Dm in Saudi Arabia,the rate of vaccination for annual influenza and COVID-19 vaccines was higher compared to other vaccinations such as herpes zoster,Tdap,pneumococcal,and *** such as vaccine recommendations provided by family physicians or specialists,site of care,income level,Dm-related hospitalization history,residency site,hemoglobin A1c(HbA1c)level,and health sector type can significantly influence the vaccination rate in patients with *** non-vaccinated patients with Dm,the most reported barriers were lack of knowledge and fear of side *** signifies the need for large-scale research in this area to identify additional factors that might facilitate adherence to CDC/ACIP vaccine recommendations in patients with *** In S

关键词： Diabetes mellitus Vaccine recommendation COVID-19 vaccine Influenza vaccine Pneumococcal vaccine Immunization Retrospective study

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Prevelance of Bovine Cysticercosis in Egypt and the Cysticidal Effect of Two Extracts Obtained from Balanites aegyptiaca and moringa oleifera on mice model Affected with T. saginata Cysticerci

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Open Journal of Animal Sciences 2024年第2期14卷 39-55页

作者： Omnia m. Kandil Noha m. F. Hassan Doaa Sedky Hatem A. Shalaby heba.m. a.hry Nadia m. T. Abu El Ezz Sahar m. Kandeel mohamed S. Abdelfattah L. Ying Ebtesam m. Al-Olayan Parasitology and Animal Diseases Department Veterinary Research Institute National Research Centre Dokki Cairo Egypt Chemistry of Natural Compounds Department Pharmaceutical and Drugs Industries Research Institute National Research Centre Dokki Cairo Egypt Chemistry Department Faculty of Science Helwan University Cairo Egypt State Key Laboratory of Plateau Ecology and Agriculture Qinghai University Xining China College of Agriculture and Animal Husbandry Qinghai University Xining China Department of Zoology Collage of Science King Saud University Riyadh Saudi Arabia

The aim of the present study was to determine the prevalence of bovine cysticercosis in both cattle and buffloas, in Egypt and to assess the cysticidal efficacy of Balanites aegyptiaca fruits (B. aegyptiaca) and moringa oleifera seeds (m. oleifera) extracts in experimentally infected mice. The study detected the level of tumor necrosis factor (TNF-α) to monitor the immune and inflammatory responses of experimentally infected mice. Through meat inspection, a total number of 2125 male bovine, 2 to 5 years old, (1125 cattle and 1000 buffloes) were examined under the authority of Albsatine and Alwaraq official abattoirs in Cairo Governorate, Egypt covering the period extended from march 2022 to April 2023. The overall prevalence of the disease among bovine was 7.8% (6.31% of cattle and 9.5% of buffloes). Besides, B. aegyptiaca and m. oleifera extracts showed cysticidal activity in experimentally infected mice. A decrease in the numbers of cysticerci was found in all treated mice groups, and up to 88% reduction was achieved in the B. aegyptiaca-treated group;higher than that was recorded in both m. oleifera (72.23%) and albendazole-treated ones (80.56%). Postmortem findings proved that m. oleifera and B. aegyptiaca reduced cysticerci numbers comparable to a commercial anthelmintic. The study showed a significant decrease (P 0.001) in TNF-α levels after treatment with Balanites and moringa extracts, compared with the untreated control and the albendazole-treated groups.

关键词： Prevalence Balanites aegyptiaca moringa oleifera mice T. saginata Cysticerci

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Optimized Deep Learning Approach for Efficient Diabetic Retinopathy Classification Combining VGG16-CNN

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Computers, materials & Continua 2023年第11期77卷 1855-1872页

作者： heba.m.El-Hoseny heba F.Elsepae Wael A.mohamed Ayman S.Selmy Department of Computer Science the Higher Future Institute for Specialized Technological StudiesObour11828Egypt Department of Electrical Engineering Benha Faculty of EngineeringBenha UniversityBenha13511Egypt

Diabetic retinopathy is a critical eye condition that,if not treated,can lead to vision *** methods of diagnosing and treating the disease are time-consuming and ***,machine learning and deep transfer learning(DTL)techniques have shown promise in medical applications,including detecting,classifying,and segmenting diabetic *** advanced techniques offer higher accuracy and *** Diagnosis(CAD)is crucial in speeding up classification and providing accurate disease ***,these technological advancements hold great potential for improving the management of diabetic *** study’s objective was to differentiate between different classes of diabetes and verify the model’s capability to distinguish between these *** robustness of the model was evaluated using other metrics such as accuracy(ACC),precision(PRE),recall(REC),and area under the curve(AUC).In this particular study,the researchers utilized data cleansing techniques,transfer learning(TL),and convolutional neural network(CNN)methods to effectively identify and categorize the various diseases associated with diabetic retinopathy(DR).They employed the VGG-16CNN model,incorporating intelligent parameters that enhanced its *** outcomes surpassed the results obtained by the auto enhancement(AE)filter,which had an ACC of over 98%.The manuscript provides visual aids such as graphs,tables,and techniques and frameworks to enhance *** study highlights the significance of optimized deep TL in improving the metrics of the classification of the four separate classes of *** manuscript emphasizes the importance of using the VGG16CNN classification technique in this context.

关键词： No diabetic retinopathy(NDR) convolution layers(CNV layers) transfer learning data cleansing convolutional neural networks a visual geometry group(VGG16)

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Repurposed anti-cancer epidermal growth factor receptor inhibitors: mechanisms of neuroprotective effects in Alzheimer’s disease

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Neural Regeneration Research 2022年第9期17卷 1913-1918页

作者： heba.m.mansour Hala m.Fawzy Aiman S.El-Khatib mahmoud m.Khattab Department of Pharmacology Egyptian Drug AuthorityEDAformerly NODCARGizaEgypt Department of Pharmacology and Toxicology Faculty of PharmacyCairo UniversityCairoEgypt

Numerous molecular mechanisms are being examined in an attempt to discover disease-modifying drugs to slow down the underlying neurodegeneration in Alzheimer’s *** studies have shown the beneficial effects of epidermal growth factor receptor inhibitors on the enhancement of behavioral and pathological sequelae in Alzheimer’s *** the promising effects of epidermal growth factor receptor inhibitors in Alzheimer’s disease,there is no irrefutable neuroprotective evidence in well-established animal models using epidermal growth factor receptor inhibitors due to many un-explored downstream signaling *** caused controversy about the potential involvement of epidermal growth factor receptor inhibitors in any prospective clinical *** this review,the mystery beyond the under-investigation of epidermal growth factor receptor in Alzheimer’s disease will be ***,their molecular mechanisms in neurodegeneration will be ***,we will shed light on SARS-COVID-19 induced neurological manifestations mediated by epidermal growth factor ***,we will discuss future perspectives and under-examined epidermal growth factor receptor downstream signaling pathways that warrant more *** conclude that epidermal growth factor receptor inhibitors are novel effective therapeutic approaches that require further research in attempts to be repositioned in the delay of Alzheimer’s disease progression.

关键词： Alzheimer’s disease autophagy drug re-positioning epidermal growth factor receptor human epidermal growth factor receptor-2 neurodegenerative diseases neuroinflammation oxidative stress tyrosine kinase inhibitors

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Feature Selection with Stacked Autoencoder Based Intrusion Detection in Drones Environment

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Computers, materials & Continua 2022年第12期73卷 5441-5458页

作者： heba G.mohamed Saud S.Alotaibi majdy m.Eltahir heba.m.hsen manar Ahmed Hamza Abu Sarwar Zamani Ishfaq Yaseen Abdelwahed motwakel Department of Electrical Engineering College of EngineeringPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Information Systems College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam Bin Abdulaziz UniversityAlKharjSaudi Arabia

The Internet of Drones(IoD)offers synchronized access to organized airspace for Unmanned Aerial Vehicles(known as drones).The availability of inexpensive sensors,processors,and wireless communication makes it possible in real time *** several applications comprise IoD in real time environment,significant interest has been received by research *** IoD operates in wireless environment,it is needed to design effective intrusion detection system(IDS)to resolve security issues in the IoD *** article introduces ametaheuristics feature selection with optimal stacked autoencoder based intrusion detection(mFSOSAEID)in the IoD *** major intention of the mFSOSAE-ID technique is to identify the occurrence of intrusions in the IoD *** do so,the proposed mFSOSAE-ID technique firstly pre-processes the input data into a compatible *** addition,the presented mFSOSAEID technique designs a moth flame optimization based feature selection(mFOFS)technique to elect appropriate ***,firefly algorithm(FFA)with stacked autoencoder(SAE)model is employed for the recognition and classification of intrusions in which the SAE parameters are optimally tuned with utilize of *** performance validation of the mFSOSAE-ID model was tested utilizing benchmark dataset and the outcomes implied the promising performance of the mFSOSAE-ID model over other techniques with maximum accuracy of 99.72%.

关键词： Internet of drones unmanned aerial vehicles security intrusion detection machine learning

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Hunger Search Optimization with Hybrid Deep Learning Enabled Phishing Detection and Classification model

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Computers, materials & Continua 2022年第12期73卷 6425-6441页

作者： Hadil Shaiba Jaber S.Alzahrani majdy m.Eltahir Radwa marzouk heba.m.hsen manar Ahmed Hamza Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Information Systems College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Phishing is one of the simplest ways in cybercrime to hack the reliable data of users such as passwords,account identifiers,bank details,*** general,these kinds of cyberattacks are made at users through phone calls,emails,or instant *** anti-phishing techniques,currently under use,aremainly based on source code features that need to scrape the webpage *** third party services,these techniques check the classification procedure of phishing Uniform Resource Locators(URLs).Even thoughmachine Learning(mL)techniques have been lately utilized in the identification of phishing,they still need to undergo feature engineering since the techniques are not well-versed in identifying phishing *** tremendous growth and evolution of Deep Learning(DL)techniques paved the way for increasing the accuracy of classification *** this background,the current research article presents a Hunger Search Optimization with Hybrid Deep Learning enabled Phishing Detection and Classification(HSOHDL-PDC)*** presented HSOHDL-PDC model focuses on effective recognition and classification of phishing based on website *** addition,SOHDL-PDC model uses character-level embedding instead of word-level embedding since the URLs generally utilize words with no ***,a hybrid Convolutional Neural Network-Long Short Term memory(HCNN-LSTm)technique is also applied for identification and classification of *** hyperparameters involved in HCNN-LSTm model are optimized with the help of HSO algorithm which in turn produced improved *** performance of the proposed HSOHDL-PDC model was validated using different datasets and the outcomes confirmed the supremacy of the proposed model over other recent approaches.

关键词： Uniform resource locators phishing cyberattacks machine learning deep learning hyperparameter optimization

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Sorghum:Nutritional Factors,Bioactive Compounds,Pharmaceutical and Application in Food Systems:A Review

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Phyton-International Journal of Experimental Botany 2022年第7期91卷 1303-1325页

作者： heba I.mohamed Eman m.Fawzi Abdul Basit Kaleemullah Rafiq Lone mahmoud R.Sofy Biological and Geological Sciences Department Faculty of EducationAin Shams UniversityCairo11575Egypt Department of Horticulture Faculty of Crop Production SciencesUniversity of AgriculturePeshawar25120Pakistan Department of Agricultural mechanization and Renewable Energy Technologies Faculty of Crop Production SciencesUniversity of AgriculturePeshawar25120Pakistan Department of Botany Central University of KashmirGanderbal474011India Botany and microbiology Department Faculty of ScienceAl-Azhar UniversityCairo11884Egypt

After wheat,rice,maize,and barley,sorghum is the fifth most widely grown cereal on the *** to its high production,drought resistance,and heat tolerance,this crop is replacing maize in some *** is available in a variety of colors,including cream,lemon-yellow,red,and even *** principal grain anatomical components are pericarp,germ or embryo and *** review provides an overview of key sorghum grain components,including starches,fiber,proteins,lipids,and ***,we summarized phenolic compounds,flavonoids,tannins,carotenoids,vitamin E,amines,Policosanols and Phytosterols in sorghum *** is used to manufacture bread and porridge,and it provides a significant source of energy and nutrition for humans;sorghum is extensively farmed for animal ***,because the natural components in sorghum are useful in the development of healthy and functional foods,sorghum farming for both biofuel production and human consumption is gaining *** sorghum grain is high in antioxidants such as polyphenols,primarily tannins,which have a variety of health benefits,including antiproliferative properties linked to the prevention of certain cancers,antioxidant activities linked to the prevention of diseases linked to oxidative stress,and anti-inflammatory effects,as well as improving glucose *** these chemicals cannot be assimilated,their application in the food business has been limited,as sorghum is regarded as a lownutritional grain due to the presence of anti-nutritional components such as strong tannins,which form complexes with proteins and iron,limiting their *** review aims to show the utilization of sorghum as a source of bioactive chemicals and the value they bestow on human health due to the general biological potential it possesses.

关键词： Antioxidant anticancer food anti-inflammatory phenolic compounds sorghum

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