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تم العثور علي : 71
 تم العثور علي : 71
  
 
إعادة البحث

Thesis 2023.
Hassan, Hanem Ahmed Mahmoud.
570 علم الحياة   570 علم الحياة  
Thesis (M.S). Sohag University. Faculty of Science. Department of Botany

Thesis 2020
El-Adawy, Naglaa Ahmed.
618 أمراض النساء والولادة والموضوعات ذات الصلة  
Role of total and specific IgE and skin prick test in diagnosis of cow milk protein allergy

Thesis 2023.
Mahmoud, Mona Ahmed.
615 علم الصيدلة والعلاج  
The goal of the current thesis was to formulate niosomes of acemetacin (ACM) and
mefenamic acid (MEF) and developed them to improve their tumor targeting in
addition to radio-kinetic evaluation performed using 131I. Niosomes were prepared by
ether injection method and characterized for particle size (PS) - polydispersity index
(PDI) - zeta potential (ZP) - entrapment efficiency (EE%) and in vitro drug release.
Factors affecting radiolabeling with 131I were studied and optimized. Radio-kinetic
evaluation was done for 131I-ACM optimum niosomal and 131I-MEF optimum niosomal
formula by intravenous (I.V) administration to solid tumor bearing mice and compared
to I.V 131I-ACM solution and I.V 131I-MEF solution as a control - respectively. The
average droplet size - zeta potential and in vitro release after 24 h for the optimum ACM
niosomal formula were 315.23 ± 5.37 nm - − 9.16 ± 2.91 and 76 % - respectively. The
greatest labeling yield of 131I-ACM was 93.1 ± 1.1%. Radio-kinetic evaluation showed
a maximum tumor uptake of 5.431 %ID/g for 131I-ACM niosomal formula and 2.601
%ID/g for 131I-ACM solution at 60 min post I.V. injection. While the average PS and
ZP values for the optimum MEF niosomal formulation were 247.23 ± 2.32 nm and –
28.3 ± 1.21 - respectively. In vitro release study of the optimum formula showed
appropriate cumulative drug release of (77.73 %) after 24 hr. The highest labeling yield
of 131I-MEF was 98.7  0.8%. The biodistribution study revealed that the highest tumor
uptake of 131I-MEF niosomal formula and 131I-MEF solution at 60 min after I.V.
injection were 2.73 and 1.94 % ID/g - respectively.
As a conclusion - ACM-loaded niosomes and MEF-loaded niosomes are excellent
substitutes in cancer treatment due to enhanced tumor uptake of 131I-ACM and 131IMEF
by passive targeting of the nanosized niosomes - which was confirmed by
radiokinetic evaluation - Pharmaceutics - Nano
تصفح الوعاء  

Thesis
سيف الدين, مروة ناصر عطية مرسي
891 آداب اللغات الهند أوروبية الشرقية ، وآداب اللغة الكلتية  
A descriptive analytical approach was used to study the meaning of the book ፍትሐ: ነገሥት ”Laws of the Kings. The thesis also analyzed the textual features - legal language features - and syntactic cohesion and semantic coherence. The thesis is divided into three chapters:

Thesis 2015.
Ibrahem، Shaimaa Ibrahem Mostafa .
510 الرياضيات   510 الرياضيات  
I would like to express my deepest gratitude - appreciation to Professor Dr. Ismail Amr Ismail - Prof. of computer science - Faculty of Computer Science - 6 October University - for his kind supervision and for his invaluable help throughout the progress of this thesis.
I would like to acknowledge - with sincere gratitude to Dr. Magdy Ahmed Mohamed - Lecturer of Mathematics - Faculty of Science - Suez Canal University - for his suggestions and support.
I would like to acknowledge to Dr. Ahmed Ahmed El-Shamy - Lecturer of Computer Science - Faculty of Science - Suez Canal University - for his support - and for providing me with all the possibilities required to give the success this work.
Last but not least - I am extremely grateful for the moral support and prayer of my parents and my husband

Thesis 2019
Tabash، Mohammed Suleiman Salem.
004 معالجة البيانات- الحاسب الآلي  
Intrusion Detection Systems (IDSs) - are the most
appropriate methods to prevent and detect the attacks of
networks and computer systems. The security system
development - in the computing world - still requires
accurate work. Artificial intelligence technique can make
IDSs easier than before. As always - the most important
thing is to know more about smart systems through training
to acquire the truth things. This thesis focuses on creating
an environment for IDSs to teach them to practice the work
such as a security officer. The study presents several ways
to discover network anomalies using data mining tasks -
deep learning technology. In this thesis - two smart hybrid
systems were developed to explore any penetrations inside
the network. The first model divides into two basic stages.
The first stage includes the Genetic Algorithm (GA) in
selecting the characteristics with depends on a process of
extracting - Discretize And dimensionality reduction
through Proportional k-Interval Discretization (PKID) and
Fisher Linear Discriminant Analysis (FLDA) respectively.
At the end of the first stage combining classifier Naïve
Bayes and Decision Table classifier using NSL-KDD data
divided into two separate groups for training and testing.
The second stage completely depends on the first stage
outputs in order to improve the performance in terms of the
maximum accuracy in classification of penetrations - raising
the average of discovering and reducing of the average of
false alarms through participation with the Deep Learning
(DL) technology and collaboration with an algorithm
(SGD). The second hybrid model relies upon Particle
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Thesis 2022
yahia mohammad kholoud
425 قواعد اللغة الإنجليزية  
thesis in linguistic
faculty of arts
تصفح الوعاء  

Thesis 2018.
Elkhouly،heba ibrahim mahmoud mohamed.
670 الصناعات   670 الصناعات  
polymer matrix،objective of thesis،Design of experiments،Base materials،wear test،taguchi analysis،effect of normal load
Faculty of Engineering،

Thesis 2021 .
Shiha,Nesma Ahmed Abd el Rahman Mohamed,
615 علم الصيدلة والعلاج  
Thesis (Ph.D.) – Cairo University. Faculty of Pharmacy. Department of Pharmacology & Toxicology

Thesis 2021.
Ali, Heba Abd El-Fattah Ahmed.
624 الهندسة المدنية  
تصفح الوعاء  


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