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Influence of preceding crop and tillage system on forage yield and quality of selected summer grass and legume forage crops under arid conditions

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Journal of Integrative Agriculture 2022年第11期21卷 3329-3344页

作者： hend H.M.HASSAN El-Sayed E.A.EL-SOBKY Elsayed MANSOUR Ahmed S.M.El-KHOLY Mohamed F.AWAD Hayat ULLAH Avishek DATTA Forage Crops Research Department Field Crops Research InstituteAgricultural Research CenterGiza 12619Egypt Agronomy Department Faculty of AgricultureZagazig UniversityZagazig 44519Egypt Department of Biology College of ScienceTaif UniversityTaif 21944Saudi Arabia Agricultural Systems and Engineering Department of FoodAgriculture and BioresourcesSchool of EnvironmentResources and DevelopmentAsian Institute of TechnologyKlong LuangPathum Thani 12120Thailand

Among the crop production factors,preceding crop and tillage management affect the sustainable use of soil resources and ultimately crop growth and *** study aimed at investigating the impact of preceding winter crops(grass or legume)and different tillage systems on forage yield,quality and nutritive values of three summer grass(Sudan grass,pearl millet and teosinte)and two legume forage crops(cowpea and guar)under arid *** results exhibited that growing forage crops after legumes(as berseem clover)produced the highest fresh and dry forage yields and quality attributes compared with grasses(as wheat)with the exception of crude fiber content,which was ***,tillage practices showed positive impact on forage yields and quality *** maximum forage yields and quality parameters were recorded under conventional tillage(CT)practice compared with reduced tillage(RT)and no-tillage(NT)*** the evaluated crops,the highest yields of fresh forage,dry forage,crude fiber,crude protein and total digestible nutrient were exhibited by grass forage crops(Sudan grass,pearl millet and teosinte),whereas the highest crude protein content and the digestible energy values were produced by legume forage crops(cowpea and guar).The maximum fresh forage,dry forage,crude fiber,crude protein,total digestible nutrient and digestible crude protein yields were produced by pearl millet followed by Sudan grass under CT and RT after berseem *** highest net return was recorded by sowing pearl millet after berseem clover and applying CT followed by RT practices,which could be recommended for the commercial ***,it could be assumed that the combination of growing grass forage crops after legume crops under CT or RT systems could enhance forage crop yield and quality with an improvement in soil properties for sustainable agriculture with low cost and the highest net income.

关键词： soil tillage preceding crop forage quality nutritive values net return

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Earthworm Optimization with Improved SqueezeNet Enabled Facial Expression Recognition Model

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Computer Systems Science & Engineering 2023年第8期46卷 2247-2262页

作者： N.Sharmili Saud Yonbawi Sultan Alahmari E.Laxmi Lydia Mohamad Khairi Ishak hend Khalid Alkahtani Ayman Aljarbouh Samih M.Mostafa Computer Science and Engineering Department Gayatri Vidya Parishad College of Engineering for WomenVisakhapatnamAndhra PradeshIndia Department of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia King Abdul Aziz City for Science and Technology RiyadhKingdom of Saudi Arabia Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India School of Electrical and Electronic Engineering Engineering CampusUniversiti Sains Malaysia(USM)Nibong TebalPenang14300Malaysia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11564Saudi Arabia Department of Computer Science University of Central AsiaNaryn722600Kyrgyzstan Faculty of Computers and Information South Valley UniversityQena83523Egypt

Facial expression recognition(FER)remains a hot research area among computer vision researchers and still becomes a challenge because of high intraclass *** techniques for this problem depend on hand-crafted features,namely,LBP,SIFT,and HOG,along with that a classifier trained on a database of videos or *** execute perform well on image datasets captured in a controlled condition;however not perform well in the more challenging dataset,which has partial faces and image ***,many studies presented an endwise structure for facial expression recognition by utilizing DL ***,this study develops an earthworm optimization with an improved SqueezeNet-based FER(EWOISN-FER)*** presented EWOISN-FER model primarily applies the contrast-limited adaptive histogram equalization(CLAHE)technique as a pre-processing *** addition,the improved SqueezeNet model is exploited to derive an optimal set of feature vectors,and the hyperparameter tuning process is performed by the stochastic gradient boosting(SGB)***,EWO with sparse autoencoder(SAE)is employed for the FER process,and the EWO algorithm appropriately chooses the SAE ***-ranging experimental analysis is carried out to examine the performance of the proposed *** experimental outcomes indicate the supremacy of the presented EWOISN-FER technique.

关键词： Facial expression recognition deep learning computer vision earthworm optimization hyperparameter optimization

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Radiotherapy in Non-Functioning Pituitary Macroadenoma： Mansoura Experience

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Clinical oncology and cancer researeh 2011年第4期8卷 224-228页

作者： Hanan Ahmed Wahba hend Ahmed EI-Hadaad Eman Hamza EI-Zahaf Mohammacl ADu-Hegazy Clinical Oncology and Nuclear Medicine Neurology departments Faculty ofMedicine Mansoura University MansouraEgypt

OBJECTIVE The current retrospective study aims to evaluate the management of non-functioning the assessment of experience on pituitary macroadenoma through clinical, biochemical, radiological features, and treatment outcome of patients, and to identify prognostic factors affecting progression-free survival （PFS）. METHODS Data of 55 patients macroadenoma presented to the with non-functioning pituitary Clinical Oncology and Nuclear Medicine department between 1998 and 2009 were investigated. RESULTS The most common symptom was visual disturbance （38.2%） followed by headache （27.3%）. The presence of male predominance was observed （1.4：1）. Ten patients received radio-therapy （RT） only. Extrasellar extension was the more common treatment. The overall response rate was 72.8% with completed response at 16.4%. Memory and intellectual sequelae were the most common late complications of treatment （14%）. The ten-year PFS was at 84.6%. PFS was found to be significantly better with higher dose of RT （up to 54 Gy）, treatment by both surgery and RT, absence of visual field defect, and tumor localized to sella, whereas it was not significantly affected by age and sex. CONCLUSION The data confirmed that the prevalence of mass effect and hypopituitarism in patients with non-functioning pituitary macroadenoma is elevated. Conventional external RT up to 54 Gy is safe and effective in controlling non-functioning pituitary macro- adenoma with tolerable and acceptable morbidity.

关键词： non-functioning pituitary macroadenoma radiotherapy prognostic factors survival.

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Classification of Multi-User Chirp Modulation Signals Using Wavelet Higher-Order-Statistics Features and Artificial Intelligence Techniques

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International Journal of Communications, Network and System Sciences 2012年第9期5卷 520-533页

作者： Said E. El-Khamy hend A. Elsayed Department of Electrical Engineering Faculty of Engineering Alexandria University Alexandria Egypt

Higher order statistical features have been recently proved to be very efficient in the classification of wideband communications and radar signals with great accuracy. On the other hand, the denoising properties of the wavelet transform make WT an efficient signal processing tool in noisy environments. A novel technique for the classification of multi-user chirp modulation signals is presented in this paper. A combination of the higher order moments and cumulants of the wavelet coefficients as well as the peaks of the bispectrum and its bi-frequencies are proposed as effective features. Different types of artificial intelligence based classifiers and clustering techniques are used to identify the chirp signals of the different users. In particular, neural networks (NN), maximum likelihood (ML), k-nearest neighbor (KNN) and support vector machine (SVMs) classifiers as well as fuzzy c-means (FCM) and fuzzy k-means (FKM) clustering techniques are tested. The Simulation results show that the proposed technique is able to efficiently classify the different chirp signals in additive white Gaussian noise (AWGN) channels with high accuracy. It is shown that the NN classifier outperforms other classifiers. Also, the simulations prove that the classification based on features extracted from wavelet transform results in more accurate results than that using features directly extracted from the chirp signals, especially at low values of signal-to-noise ratios.

关键词： Artificial Intelligence Techniques Classification Discrete Wavelet Transform Higher Order Statistics Multi-User Chirp Modulation Signals

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Survival and outcomes for co-infection of chronic hepatitis C with and without cirrhosis and COVID-19: A multicenter retrospective study

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World Journal of Gastroenterology 2021年第42期27卷 7362-7375页

作者： Shimaa Afify Basem Eysa Fatma Abdel Hamid Omnia M Abo-Elazm Mohamed A Edris Rabab Maher Ahmed Abdelhalim Muhammad Mostafa Abdel Ghaffar Dalia A Omran hend Ibrahim Shousha Department of Gastroenterology National Hepatology and Tropical Medicine Research InstituteCairo 20222Egypt Department of Endemic Medicine Faculty of MedicineFayoum UniversityEl-Fayoum 13524Egypt Department of Biostatistics and Cancer Epidemiology National Cancer InstituteCairo 20222Egypt Department of Gastroenterology Students HospitalCairo UniversityGiza 12111Egypt The General Organization for Teaching Hospitals and Institutes Cairo 11562Egypt Department of Endemic Medicine Faculty of MedicineCairo UniversityCairo 11562Egypt

BACKGROUND Chronic liver disease,particularly cirrhosis,is associated with worse outcomes in patients infected with coronavirus disease 2019(COVID-19).AIM To assess outcomes of COVID-19 infection among patients with pre-existing hepatitis C with or without liver *** This multicenter,retrospective cohort study included all cases of confirmed coinfection of severe acute respiratory syndrome coronavirus 2 and chronic hepatitis C with or without liver cirrhosis who were admitted to six hospitals(Al-Sahel Hospital,Al-Matareya Hospital,Al-Ahrar Hospital,Ahmed Maher Teaching Hospital,Al-Gomhoreya Hospital,and the National Hepatology and Tropical Medicine Research Institute)affiliated with the General Organization for Teaching Hospitals and Institutes in *** were recruited from May 1,2020,to July 31,***,laboratory,imaging features,and outcomes were *** regression analysis was performed to detect factors affecting *** This retrospective cohort study included 125 patients with chronic hepatitis C and COVID-19 co-infection,of which 64(51.20%)had liver cirrhosis and 40(32.00%)***,cough,dyspnea,and fatigue were the most frequent symptoms in patients with liver ***,sore throat,fatigue,myalgia,and diarrhea were significantly more common in patients with liver cirrhosis than in noncirrhotic *** was no difference between patients with and without cirrhosis regarding *** patients(23.40%)with liver cirrhosis presented with hepatic *** with liver cirrhosis were more likely than non-cirrhotic patients to have combined ground-glass opacities and consolidations in CT chest scans:28(43.75%)vs 4(6.55%),respectively(P value<0.001).These patients also were more likely to have severe COVID-19 infection,compared to patients without liver cirrhosis:29(45.31%)vs 11(18.04%),respectively(P value<0.003).Mortality was higher in patients with liver cirrhosis,compar

关键词： COVID-19 Egypt Outcome Liver cirrhosis Chronic hepatitis C

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Presepsin and Procalcitonin as Potential Biomarkers for Early Diagnosis and Prognosis of Sepsis in Critically Ill Patients

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Open Journal of Medical Microbiology 2021年第3期11卷 267-281页

作者： Reham Sabry hend Maghraby Maghraby Amany Mohamed Abd Allah Clinical Pathology Department Faculty of Medicine for Girls Al-Azhar University Cairo Egypt Internal Medicine Department Faculty of Medicine for Girls Al-Azhar University Cairo Egypt

Background: Sepsis has a poor prognosis for critically ill patients, even with intensive management. Early diagnosis of sepsis and detection of patients with worsening prognosis are important for immediate intervention to improve the clinical outcome. Objective: To investigate serum presepsin (PS) and procalcitonin (PCT) as early diagnostic and prognostic biomarkers for sepsis in critically ill patients. Methods: 60 critically ill patients with sepsis were subdivided into three groups of sepsis, severe sepsis and septic shock according to Acute Physiology and Chronic Health Evaluation II (APACHEII) and quick Sequential Organ Failure Assessment (qSOFA) scores. Patients were compared with 20 age and sex matched controls. Serum PS and PCT were measured by enzyme linked immunosorbent assay (ELISA). Results: Serum PS and PCT levels were significantly increased in septic patients than controls, and their increase was positively correlated with progression of sepsis severity till reached the highest levels in septic shock. Receiver operating characteristic (ROC) curve for predicting sepsis revealed that PS has the highest area under curve (AUC) (0.967) with 97.5% sensitivity, 85% specificity and cut-off of >635.5

关键词： Sepsis Septic Shock Diagnosis Presepsin Procalcitonin

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SemSignWriting: A Proposed Semantic System for Arabic Text-to-SignWriting Translation

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Journal of Software Engineering and Applications 2012年第8期5卷 604-612页

作者： Ameera M. Almasoud hend S. Al-Khalifa Information Technology Department College of Computer and Information Sciences King Saud University Riyadh KSA

Arabic Sign Language (ArSL) is the native language for the Arab deaf community. ArSL allows deaf people to communicate among themselves and with non-deaf people around them to express their needs, thoughts and feelings. Opposite to spoken languages, Sign Language (SL) depends on hands and facial expression to express the thought instead of sounds. In recent years, interest in translating sign language automatically for different languages has increased. However, a small set of these works are specialized in ArSL. Basically, these works translate word by word without taking care of the semantics of the translated sentence or the translation rules of Arabic text to Arabic sign language. In this paper we present a proposed system for semantically translating Arabic text to Arabic SignWriting in the jurisprudence of prayer domain. The system is designed to translate Arabic text by applying Arabic Sign Language (ArSL) grammatical rules as well as semantically looking up the words in domain ontology. The results of qualitatively evaluating the system based on a SignWriting expert judgment proved the correctness of the translation results.

关键词： SignWriting Arabic Sign Language Deaf Semantic Web Ontology

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中高级阶段埃及汉语学习者关联词语偏误研究

中高级阶段埃及汉语学习者关联词语偏误研究

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作者： hend Sayed Saad（小燕子）北京外国语大学

学位级别：硕士

本文以中高级埃及汉语学习者为调查对象,以他们的作文与调查问卷为语料。由于阿拉伯语也有关联词语,通过阿汉关联词使用对比,归纳分析偏误产生原因,并在此基础上对有关关联词的教学方法与学习策略提出几点建议。本文在语料的基础上对埃... 详细信息

本文以中高级埃及汉语学习者为调查对象,以他们的作文与调查问卷为语料。由于阿拉伯语也有关联词语,通过阿汉关联词使用对比,归纳分析偏误产生原因,并在此基础上对有关关联词的教学方法与学习策略提出几点建议。本文在语料的基础上对埃及学生关联词语使用进行偏误归纳,并分析埃及学生使用关联词语的偏误类型。并发现埃及学生使用汉语关联词语的偏误类型主要集中在误代、关联词语位置不当、遗漏这三大类上,而且本研究发现误代是埃及学生使用关联词语偏误中最常见的偏误类型。本文分析埃及学生关联词语偏误产生的原因,并通过阿汉使用关联词语的对比说明埃及学生关联词学习容易产生负迁移之处。偏误原因主要有：汉语关联词语的复杂程度,阿拉伯语负迁移和教学与教材的影响,研究结果显示埃及学生使用关联词时,产生偏误的主要原因是受阿拉伯语负迁移的影响。本文强调了阿拉伯语对埃及学生使用关联词语偏误所构成的影响,尝试揭示埃及学生关联词语习得特点。针对以上偏误情况与偏误原因分析,本文从课堂教学与学生学习策略的角度对关联词语教学提出一些建议。比如,教学的建议有加强阿汉关联词对比研究、改进教材相关内容的编写、加强操练,对埃及学生学习策略的建议有,语感培养、有意识积累汉语关联词语知识。通过本文所得的结果,并发现埃及汉语学习者使用关联词语时,所产生的偏误原因和阿拉伯语的负迁移息息相关。目前针对阿拉伯语为母语的汉语学习者的偏误研究很少见,针对埃及汉语学者的关联词语偏误研究更是没有,因此笔者希望通过这项研究在这个方向进行一些基础研究。笔者希望这项研究对所有的阿拉伯汉语学习者和中国阿拉伯语学习者在学习过程中会有一定的帮助。而且对改进教汉语的教材和教学方式有一定的帮助。

关键词：埃及学生关联词语偏误分析

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有机催化的多组分和氮杂频哪醇重排反应机理的DFT计算研究

有机催化的多组分和氮杂频哪醇重排反应机理的DFT计算研究

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作者： hend Sayed Mahmoud Mohamed 东北师范大学

学位级别：硕士

近年来,有机催化已成为化学研究中活跃的领域,与酶和金属催化的反应相比,有机催化具有许多优点,如实验操作简单,化学废物少,节省成本、时间和能源。而且,有机小分子通常毒性较小,更安全,易于使用且环境友好。因而,研究有机催化反应机理... 详细信息

近年来,有机催化已成为化学研究中活跃的领域,与酶和金属催化的反应相比,有机催化具有许多优点,如实验操作简单,化学废物少,节省成本、时间和能源。而且,有机小分子通常毒性较小,更安全,易于使用且环境友好。因而,研究有机催化反应机理有助于揭示催化剂的功能,进而为合成化学家开发多功能催化剂提供理论支撑。本论文利用DFT方法研究了有机催化的多组分合成[1,3]恶嗪杂环和氮杂频哪醇重排反应的机理和立体选择性。探究溶剂、助剂和底物的作用及催化剂的活化模式。对这两类反应机理的研究有助于寻找反应的绿色合成方式和高效不对称催化剂的设计。本文的主要研究内容如下:采用DFT计算了在无催化剂协助、水协助、三氟乙酸(TFA)协助条件下,由2,2-二羟基-1-苯乙酮(1),(2-氨基苯)甲醇(2)和KSCN(3)合成3-苯基-2,5-二氢-1-氢-苯并[d]咪唑并[5,1-b][1,3]恶嗪-1-硫酮的反应机理。计算结果表明,TFA、水和底物2可以改变和促进该反应。基于底物不同的反应顺序共探究了三种机理,如M1:1+2然后与3反应;M2:1+3然后与2反应;M3:2+3然后与1反应。发现底物2的亲核性强于底物3。DFT计算表明TFA-水共同协助机理M1的路径最优,决速步是[3+2]环加成过程。发现TFA和水分子在整个反应中起着至关重要的作用,它们作为有效的催化剂、质子传递体和稳定剂,通过N-H···O,O-H···O及C-H···O相互作用来稳定过渡态和中间体的结构。它们还充当氢键(HBs)给体和受体,通过改变乙二醛一水合物和KSCN的反应形式来提高底物的反应活性。底物2作为HBs受体促进了烯醇-酮互变异构和质子转移过程。进一步地,我们发现该反应可以用水替换CHCN,为合成绿色恶嗪杂环类化合物提供了新的方案。在M06-2X/6-311+G**水平上对手性磷酸催化的不对称氮杂频哪醇重排反应进行了机理研究。我们的计算结果表明,整个催化循环经历底物脱水、对映选择性的氮杂频哪醇重排、及分子内环化和催化剂再生得到吲哚啉产物。氮杂频哪醇重排是该反应的关键立体控制步骤。手性催化剂通过双官能团手性磷酸和氮杂邻二甲苯中间体之间的两个结合位点控制了对映选择性步骤过渡态的取向。此外,理论研究表明手底物和催化剂的中心官能团上的氧阴离子和臂之间形成的多个C-H···π,C-H···O和C-H···N氢键和N-H···O静电相互作用在决定立体化学结果方面起着关键作用。主要过渡态中强的N-H···O相互作用有助于提高对映选择性。另外,对映选择性过渡态之间1.5 kcal/mol的能量差所预测的ee值为89%,与实验结果非常吻合90%。

关键词：密度泛函理论反应机理有机催化多组分反应氮杂频哪醇重排

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Hybrid Multi-Strategy Aquila Optimization with Deep Learning Driven Crop Type Classification on Hyperspectral Images

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Computer Systems Science & Engineering 2023年第10期47卷 375-391页

作者： Sultan Alahmari Saud Yonbawi Suneetha Racharla ELaxmi Lydia Mohamad Khairi Ishak hend Khalid Alkahtani Ayman Aljarbouh Samih M.Mostafa King Abdulaziz City for Science and Technology P.O Box 6086Riyadh 11442Saudi Arabia Department of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia Department of AIML Aditya Engineering CollegeSurempallemAndhra PradeshIndia Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India School of Electrical and Electronic Engineering Engineering CampusUniversiti Sains Malaysia(USM)Nibong TebalPenang14300Malaysia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia Department of Computer Science University of Central AsiaNaryn722600Kyrgyzstan Faculty of Computers and Information South Valley UniversityQena83523Egypt

Hyperspectral imaging instruments could capture detailed spatial information and rich spectral signs of observed *** spatial information and spectral signatures of hyperspectral images(HSIs)present greater potential for detecting and classifying fine *** accurate classification of crop kinds utilizing hyperspectral remote sensing imaging(RSI)has become an indispensable application in the agricultural *** is significant for the prediction and growth monitoring of crop *** the deep learning(DL)techniques,Convolution Neural Network(CNN)was the best method for classifying HSI for their incredible local contextual modeling ability,enabling spectral and spatial feature *** article designs a Hybrid Multi-Strategy Aquila Optimization with a Deep Learning-Driven Crop Type Classification(HMAODL-CTC)algorithm *** proposed HMAODL-CTC model mainly intends to categorize different types of crops on *** accomplish this,the presented HMAODL-CTC model initially carries out image preprocessing to improve image *** addition,the presented HMAODL-CTC model develops dilated convolutional neural network(CNN)for feature *** hyperparameter tuning of the dilated CNN model,the HMAO algorithm is ***,the presented HMAODL-CTC model uses an extreme learning machine(ELM)model for crop type classification.A comprehensive set of simulations were performed to illustrate the enhanced performance of the presented HMAODL-CTC *** comparison studies reported the improved performance of the presented HMAODL-CTC algorithm over other compared methods.

关键词： Crop type classification hyperspectral images agricultural monitoring deep learning metaheuristics

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