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Assessment of plant diversity of endemic species of the saharo-Arabian region in Egypt

Journal of Arid Land 2024年第7期16卷 1000-1021,I0002-I0044页

作者： asmaa s abo hatab Yassin M AL-sODANY Kamal H sHALTOUT soliman A HAROUN Mohamed M EL-KHALAFY Botany and Microbiology Department Faculty of ScienceKafrelsheikh UniversityKafrelsheikh 33511Egypt Botany Department Faculty of ScienceTanta UniversityTanta 31527Egypt

savanna, semi-deserts, and hot deserts characterize the saharo-Arabian region, which includes Morocco, Mauretania, Algeria, Tunisia, Libya, Egypt, Palestine, Kuwait, saudi Arabia, Qatar, Bahrain, the United Arab Emirates, Oman, Yemen, southern Jordan, syria, Iraq, Iran, Afghanistan, Pakistan, and northern India. Its neighboring regions, the sudano-Zambezian region belonging to the Paleotropical Kingdom and the Mediterranean and Irano-Turanian regions included in the Holarctic Kingdom, share a large portion of their flora with the saharo-Arabian region. Despite the widespread acknowledgment of the region's global importance for plant diversity, an up to date list of the saharo-Arabian endemics is still unavailable. The available data are frequently insufficient or out of date at both the whole global and the national scales. Therefore, the present study aims at screening and verifying the saharo-Arabian endemic plants and determining the phytogeographical distribution of these taxa in the Egyptian flora. Hence, a preliminary list of 429 saharo-Arabian endemic plants in Egypt was compiled from the available literature. Indeed, by excluding the species that were recorded in any countries or regions outside the saharo-Arabian region based on different literature, database reviews, and websites, the present study has reduced this number to 126 taxa belonging to 87 genera and 37 families. Regarding the national geographic distribution, south sinai is the richest region with 83 endemic species compared with other eight phytogeographic regions in Egypt, followed by the Isthmic Desert(the middle of sinai Peninsula, 53 taxa). sahara regional subzone(ss1) distributes all the 126 endemic species, Arabian regional subzone(ss2) owns 79 taxa, and Nubo-sindian subzone(ss3) distributes only 14 endemics. seven groups were recognized at the fourth level of classification as a result of the application of the two-way indicator species analysis(TWINsPAN) to the saharo-Arabian endemic sp

关键词： endemism phytogeographical regions saharo-Arabian floristic region Egyptian flora plant diversity two-way indicator species analysis(TWINsPAN)

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Numerical Treatments for Crossover Cancer Model of Hybrid Variable-Order Fractional Derivatives

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Computer Modeling in Engineering & sciences 2024年第8期140卷 1619-1645页

作者： Nasser sweilam seham Al-Mekhlafi Aya Ahmed Ahoud Alsheri Emad abo-Eldahab Mathematics Department Faculty of ScienceCairo UniversityGiza12613Egypt Mathematics Department Faculty of EducationSana’a UniversitySana’a1247Yemen Mathematics Department Faculty of ScienceHelwan UniversityCairo11795Egypt Department of Mathematics College of ScienceUniversity of BishaAl Namas67398-5644Saudi Arabia

In this paper,two crossover hybrid variable-order derivatives of the cancer model are ***ünwald-Letnikov approximation is used to approximate the hybrid fractional and variable-order fractional *** existence,uniqueness,and stability of the proposed model are *** Bashfourth’s fifth-step method with a hybrid variable-order fractional operator is developed to study the proposed *** studies with generalized fifth-order Runge-Kutta method are *** examples and comparative studies to verify the applicability of the used methods and to demonstrate the simplicity of these approximations are *** have showcased the efficiency of the proposed method and garnered robust empirical support for our theoretical findings.

关键词： Cancer diseases hybrid variable-order fractional derivatives adams bashfourth fifth step generalized fifth order Runge-Kutta method

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Evaluation of the Use of Long-Lasting Impregnated Mosquito Nets (LLINs) in the Health District of Dimbokro (Center of Côte d’Ivoire)

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Journal of Biosciences and Medicines 2024年第3期12卷 44-61页

作者： Ellélé Aimé Marius Yapi Tanoh Amany serge Raymond N’krumah Bi Yourou Guillaume Zamina Martial Bama Assikohon Pulchérie Gouzilé Amoin Nadège abo Issaka Tiembre General Hygiene Department Institut National d’HygiènePublique (INHP) Abidjan C&ocircte d’Ivoire Animal Biology Department Peléféro Gon Coulibaly University Korhogo C&ocircte d’Ivoire Environment and Health Department Swiss Center for Scientific Research Abidjan C&ocircte d’Ivoire Public Health Emergency Operations Center National Institute of Public Hygiene (INHP) Abidjan C&ocircte d’Ivoire Malaria Department National Institute of Public Hygiene (INHP) Abidjan C&ocircte d’Ivoire Epidemiological surveillance service Health District Dimbokro C&ocircte d’Ivoire Vaccinology sub-Directorate National Institute of Public Hygiene (INHP) Abidjan C&ocircte d’Ivoire Department of Public Health Félix Houphou&eumlt Boigny University Abidjan C&ocircte d’Ivoire

The Dimbokro health district has one of the highest incidences of malaria in Côte d’Ivoire, despite numerous campaigns to distribute Long-Acting Impregnated Mosquito Nets (LLINs). Given this observation, what are the population’s attitudes towards LLINs that could explain the high endemicity of malaria in Dimbokro? The aim of this study is to assess the knowledge, attitudes and practices of people in the health area of Nofou, one of the villages in the Dimbokro health district where malaria is most prevalent, with a view to strengthening malaria control strategies. A collection of historical health data (malaria cases and LLIN usage rates) and a cross-sectional questionnaire survey was carried out from July 20 to August 03, 2022 in 400 households selected by systematic random sampling. Data were entered using Epi Info 7 and multivariate statistical analyses were performed using IBM sPss 22 software. In the Dimbokro health district, the rate of LLIN use was negatively correlated (r = -0.771) with malaria incidence over the six years of historical data collection. Households had an average of 53% good knowledge, 68.6% good practices and 28.4% good attitudes towards LLINs. The study also revealed that the main factors explaining LLIN use in the Nofou health area are mosquito bite (ORa = 5.29 (1.12 - 25.04)), age of household members (ORa = 1.07 (1.01 - 1.14)) and marital status (ORa = 8.45 (1.70 - 45.02)). Awareness-raising on the use of LLINs should be intensified in the Dimbokro health district. Other control strategies, such as vector control and environmental sanitation, should be considered to combat malaria.

关键词： Malaria LLINs Knowledge Attitudes Practices Dimbokro Côte d’Ivoire

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The Impact of Inoculum Preparation Media on Pollutant Removal through Phycoremediation of Agricultural Drainage Water by Desmodesmus sp.

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国际实验植物学杂志(英文) 2023年第10期92卷 2875-2890页

作者： asmaa salah Hoda sany abo El-Khair B.El-sayed Reham M.El-Bahbohy Heba I.Mohamed Ayman Amin Plant Physiology Division Department of Agricultural BotanyFaculty of AgricultureCairo UniversityGizaP.O.Box 12613Egypt Algal Biotechnology Unit National Research CentreDokkiGiza12622Egypt Biological and Geological science Department Faculty of EducationAin Shams UniversityCairo11341Egypt

Water is the most essential natural resource for the future *** production is extensively water-dependent and a significant polluter of water ***,this work investigated the effect of two different preparation media[Bold’s Basal Medium(BBM)and Domiati cheese whey(DCW)]for agricultural drainage water(ADW)*** treatments were incubated for 6 *** to the results of biomass productivity,specific growth rate,photosynthetic pigments,and biochemical composition,Desmodesmus *** grow in drainage water without *** two treatments significantly reduced the concentration of nitrate,phosphate,chemical oxygen demand,and sodium in ***,using cheese whey with BBM as inoculum preparation media enhanced the lipid accumulation in the algal biomass(25.4%w/w)and gave the best biodiesel properties among ***,combining remediation of drainage water with microalgae mass production can achieve the sustainability of agriculture.

关键词： Desmodesmus sp. drainage water nutrients recycle photosynthetic pigments phycoremediation water scarcity

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Magneto-Thermoelasticity with Thermal shock Considering Two Temperatures and Ls Model

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Computers, Materials & Continua 2022年第2期70卷 3365-3381页

作者： F.s.Bayones s.M.abo-Dahab N.s.Hussein A.M.Abd-Alla H.A.Alshehri Department of Mathematics and statistics College of ScienceTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Mathematics Department Faculty of ScienceSouth Valley UniversityQena83523Egypt Computer science Department Faculty of Computers and InformationLuxor UniversityLuxorEgypt Mathematics Department Faculty of ScienceCairo UniversityEgypt Mathematics Department Faculty of ScienceSohag UniversityEgypt

The present investigation is intended to demonstrate the magnetic field,relaxation time,hydrostatic initial stress,and two temperature on the thermal shock *** governing equations are formulated in the context of Lord-shulman theory with the presence of bodily force,two temperatures,thermal shock,and hydrostatic initial *** obtained the exact solution using the normal mode technique with appropriate boundary *** field quantities are calculated analytically and displayed graphically under thermal shock problem with effect of external parameters respect to space *** results obtained are agreeing with the previous results obtained by others when the new parameters *** results indicate that the effect of magnetic field and initial stress on the conductor temperature,thermodynamic temperature,displacement and stress are quite *** order to illustrate and verify the analytical development,the numerical results of temperature,displacement and stress are carried out and computer simulated results are presented *** study helpful in the development of piezoelectric devices.

关键词： Thermoelastic thermal shock initial stress two temperatures magnetic field relaxation time

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A new approach to learning and recognizing leaf diseases from individual lesions using convolutional neural networks

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Information Processing in Agriculture 2023年第1期10卷 11-27页

作者： Lawrence C.Ngugi Moataz Abdelwahab Mohammed abo-Zahhad Department of Electronics and Communication Engineering Egypt-Japan University of Science and TechnologyAlexandriaEgypt Department of Electrical and Electronics Engineering Assiut UniversityAssiutEgypt

Leaf disease recognition using image processing and deep learning techniques is currently a vibrant research *** studies have focused on recognizing diseases from images of whole *** approach limits the resulting models’ability to estimate leaf disease severity or identify multiple anomalies occurring on the same *** studies have demonstrated that classifying leaf diseases based on individual lesions greatly enhances disease recognition *** those studies,however,the lesions were laboriously cropped by *** study proposes a semi-automatic algorithm that facilitates the fast and efficient preparation of datasets of individual lesions and leaf image pixel maps to overcome this *** datasets were then used to train and test lesion classifier and semantic segmentation Convolutional Neural Network(CNN)models,*** report that GoogLeNet’s disease recognition accuracy improved by more than 15%when diseases were recognized from lesion images compared to when disease recognition was done using images of whole leaves.A CNN model which performs semantic segmentation of both the leaf and lesions in one pass is also proposed in this *** proposed KijaniNet model achieved state-of-the-art segmentation performance in terms of mean Intersection over Union(mIoU)score of 0.8448 and 0.6257 for the leaf and lesion pixel classes,*** terms of mean boundary F1 score,the KijaniNet model attained 0.8241 and 0.7855 for the two pixel classes,***,a fully automatic algorithm for leaf disease recognition from individual lesions is *** algorithm employs the semantic segmentation network cascaded to a GoogLeNet classifier for lesion-wise disease *** proposed fully automatic algorithm outperforms competing methods in terms of its superior segmentation and classification performance despite being trained on a small dataset.

关键词： Deep learning Precision agriculture Leaf disease recognition Complex background removal Leaf image segmentation Lesion classification

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Optimized Deep Learning Model for Colorectal Cancer Detection and Classification Model

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Computers, Materials & Continua 2022年第6期71卷 5751-5764页

作者： Mahmoud Ragab Khalid Eljaaly Maha Farouk ssabir Ehab Bahaudien Ashary s.M.abo-Dahab E.M.Khalil Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Center of Artificial Intelligence for Precision Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Mathematics Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Department of Pharmacy Practice Faculty of PharmacyKing Abdulaziz UniversityJeddah21589Saudi Arabia Information systems Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Electrical and Computer Engineering Department Faculty of EngineeringKing Abdulaziz UniversityJeddah21589Saudi Arabia Computer science Department Faculty of Computers and InformationLuxor University85951Egypt Mathematics Department Faculty of ScienceSouth Valley UniversityQena83523Egypt Department of Mathematics Faculty of ScienceTaif UniversityTaif21944Saudi Arabia

The recent developments in biological and information technologies have resulted in the generation of massive quantities of data it speeds up the process of knowledge discovery from biological *** to the advancements of medical imaging in healthcare decision making,significant attention has been paid by the computer vision and deep learning(DL)*** the same time,the detection and classification of colorectal cancer(CC)become essential to reduce the severity of the disease at an earlier *** existing methods are commonly based on the combination of textual features to examine the classifier results or machine learning(ML)to recognize the existence of *** this aspect,this study focuses on the design of intelligent DL based CC detection and classification(IDL-CCDC)model for bioinformatics *** proposed IDL-CCDC technique aims to detect and classify different classes of *** addition,the IDLCCDC technique involves fuzzy filtering technique for noise removal ***,water wave optimization(WWO)based EfficientNet model is employed for feature extraction ***,chaotic glowworm swarm optimization(CGsO)based variational auto encoder(VAE)is applied for the classification of CC into benign or *** design of WWO and CGsO algorithms helps to increase the overall classification *** performance validation of the IDL-CCDC technique takes place using benchmark Warwick-QU dataset and the results portrayed the supremacy of the IDL-CCDC technique over the recent approaches with the maximum accuracy of 0.969.

关键词： Colorectal cancer deep learning medical imaging bioinformatics metaheuristics parameter tuning

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4-Port Octagonal shaped MIMO Antenna with Low Mutual Coupling for UWB Applications

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Computer Modeling in Engineering & sciences 2023年第8期136卷 1999-2015页

作者： Mahmoud A.Abdelghany Mohamed Fathy abo sree Arpan Desai Ahmed A.Ibrahim Electrical Engineering Department College of EngineeringPrince Sattam bin Abdulaziz UniversityWadi Addwasir11991Saudi Arabia Electronic and Communication Department Arab Academy for ScienceTechnology and Maritime TransportCairo11865Egypt Department of Electronics and Communication Engineering CSPITCharotar University of Science and Technology(CHARUSAT)Changa388421India Electronics and Communications Engineering Department Minia UniversityEl-Minia61519Egypt

A4-port multiple-input multiple-output(MIMO)antenna exhibiting lowmutual coupling andUWBperformance is *** octagonal-shaped four-antenna elements are connected with a 50microstrip feed line that is arranged rotationally to achieve the orthogonal polarization for improving the MIMO system *** antenna has a wideband impedance bandwidth of 7.5GHz with s11solation higher than 20 *** validation is carried out by verifying the simulated and measured results after fabricating the *** results in the form of omnidirectional radiation patterns,peak gain(≥4 dBi),and Envelope Correlation Coefficient(ECC)(≤0.01)are extracted to validate the suggested antenna ***,time-domain analysis was investigated to demonstrate the operation of the suggested antenna in wideband ***,the simulated and experimental outcomes have almost similar tendenciesmaking the antenna suitable for its use in UWBMIMOapplications.

关键词： MIMO antenna low mutual coupling time domain analysis UWB antenna

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高产苯乳酸菌株的筛选及发酵条件的优化

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中国饲料 2024年第9期 45-52页

作者：高阿波李留安胡鹏程刘佳琦魏怡刘鼎阔天津农学院天津300384 鼎正新兴生物技术(天津)有限公司天津300383 天津市生物饲料添加剂重点实验室天津300383

苯乳酸既可以延长饲料保质期又可以提高畜禽生产性能,但目前生物工业化生成苯乳酸的产量很低。为找到高产的菌株,本试验从泡菜中筛选出一株高产苯乳酸菌株,经16s rDNA测序确定该株为乳酸菌属植物乳杆菌。通过单因素试验与正交试验优化... 详细信息

苯乳酸既可以延长饲料保质期又可以提高畜禽生产性能,但目前生物工业化生成苯乳酸的产量很低。为找到高产的菌株,本试验从泡菜中筛选出一株高产苯乳酸菌株,经16s rDNA测序确定该株为乳酸菌属植物乳杆菌。通过单因素试验与正交试验优化其发酵条件,由响应面试验确定外源添加物与温度之间的最佳方案,得到苯乳酸高产方案。结果表明:正交试验和响应面试验确定葡萄糖添加量为25 g/L、玉米浆添加量为5 g/L、接种量为100μL菌液、发酵时间为72 h、苯丙氨酸添加量为8 g/L、柠檬酸添加量为5 g/L、反应温度为33℃时苯乳酸的表达量达到374.26 mg/L,优于未优化前38.97 mg/L的产量。在优化后的植物乳杆菌可以高产苯乳酸,解决原始株表达量低的问题。

关键词：苯乳酸植物乳杆菌苯丙氨酸正交试验响应面

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基于Li_(2)O-NiO-P_(2)O_(5)体系的新型密封玻璃的制备与表征

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Journal of Central south University 2022年第5期29卷 1437-1446页

作者： Hany abo-MOsALLAM Ebrahim A.MAHDY Glass Research Department National Research CentreEl-Buhouth StDokkiCairo 12622Egypt

基于Li_(2)O-NiO-P_(2)O_(5)体系,改变氧化镍的浓度(摩尔分数从5%到15%),采用熔体淬火技术合成系列玻璃样品。XRD图谱表明含5%和10%氧化镍制备的玻璃样品具有非晶性质,在Li_(3)P和Ni_(2)P_(4)O_(12)相沉淀中镍含量高,摩尔分数高达15%。... 详细信息

基于Li_(2)O-NiO-P_(2)O_(5)体系,改变氧化镍的浓度(摩尔分数从5%到15%),采用熔体淬火技术合成系列玻璃样品。XRD图谱表明含5%和10%氧化镍制备的玻璃样品具有非晶性质,在Li_(3)P和Ni_(2)P_(4)O_(12)相沉淀中镍含量高,摩尔分数高达15%。随着镍取代锂,可以观察到玻璃化转变温度(T_g)和玻璃化软化温度(T_s)呈系统性升高。这与玻璃网格中结构的增加、结构的连惯性有关。结构研究表明,Ni^(2+)存在于八面体和四面体的位置。系列玻璃样品的密度为(2.38±0.1)~(2.46±0.1) g/cm^(3),摩尔体积为(42.28±0.1)~(39.15±0.1) cm^(3)/mol。用NiO替代Li_(2)O合成的非晶材料的溶解速率从1.53×10~(-5)降低到3.20×10^(-6 )g/(cm^(2)·min)。在25~250℃的温度范围内,玻璃的热膨胀系数从157×10^(-7)到96×10^(-7)℃^(-1)变化。所制备的玻璃有望用作低温密封材料。

关键词：玻璃密封氧化镍热膨胀溶解速率

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