Various types of Alopecia and the options of the treatment

Afrah Thiab Hlail

doi:10.47723/kcmj.v16i2.253

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Publication Date

Wed Dec 30 2020

Journal Name

Al-kindy College Medical Journal

Volume

16

Issue Number

2

DOI

10.47723/kcmj.v16i2.253

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Various types of Alopecia and the options of the treatment

Alopecia

Type of alopecia

Classification of alopecia

Management of alopecia

Afrah Thiab Hlail

...Show More Authors

Alopecia (Baldness) is very usual trouble in current time. It is accompanied by an intensive weakening of the scalp's hair and follows a specific pattern. Hereditary predisposition plays a very important role in alopecia despite not completely understood. Alopecia can be typed to various categories according to etiology, may be due to hereditary factors, autoimmune disease, and drugs or chemicals. There are many options of strategies of treatment according to the type and causes of alopecia. Chemical or synthetic medications apply for the management of hair loss are accompanied by a wide range of undesirable effects. Naturally occurring drugs also play important role in alopecia management with minimal side effects.

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Publication Date

Tue Aug 01 2023

Journal Name

Journal Of Engineering

Risk Response in Construction Project: A Review Study

Risk

Risk Management

Risk Responses

Construction Projects

Hiba O.

Ahmed Mohammed Raoof

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Construction projects are characterized as projects with multi phases and activities, complex, unique, and have many different parties and stakeholders. Risks could appear at one or more of the construction project stages and may affect the achievement of project objectives. Therefore, one of the key elements in the planning phase of any project is the risk management process (RMP). This study attempts to understand the terminology of risk in general, risk management, and response to risk in particular. This study is mainly a review of thirty-eight studies that have been published between 1997 and 2020 that demonstrate the importance of the crucial phase of risk response from the risk management process and its impact on

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Publication Date

Mon Apr 05 2021

Journal Name

Solid State Technology

Genetic Algorithms in Construction Project Management: A Review

Genetic Algorithms

Construction Project Management

Construction Industry

Hatim

Omar Akrm

Ahmed Mohammed Raoof

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Genetic algorithms (GA) are a helpful instrument for planning and controlling the activities of a project. It is based on the technique of survival of the fittest and natural selection. GA has been used in different sectors of construction and building however that is rarely documented. This research aimed to examine the utilisation of genetic algorithms in construction project management. For this purpose, the research focused on the benefits and challenges of genetic algorithms, and the extent to which genetic algorithms is utilised in construction project management. Results showed that GA provides an ability of generating near optimal solutions which can be adopted to reduce complexity in project management and resolve difficult problem

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Publication Date

Fri Jun 01 2018

Journal Name

Journal Of The College Of Languages (jcl)

Отражение женского пола в качестве женщины в русских фразеологических единицах на фоне арабского языка Reflection of Feminine Gender as represented by Women in Russian Idioms in Comparison with Arabic

женский пол

фразеология

арабский язык

единицы

отрожение

женщина.

feminine gender

terminology

Arabic

units

reflection

woman.

Saad Jihad

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Аннотация

Взгляд на пол как на комплексное социальное отношение означает,что роль женщины в истории следует рассматривать не просто как новый для исторической науки предмет исследования, а как обойденный вниманием ученых вопрос об отношениях между людьми или группами людей.

Женщина играет особую и важную роль в обществе , даже скажут ,что она половина нашего общества ,поэтому она яв

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Publication Date

Sat Dec 31 2011

Journal Name

Al-khwarizmi Engineering Journal

Back stepping-Based-PID-Controller Designed for an Artificial Pancreas model

Keywords:- Type I diabetes

Backstepping

Bergman’s model

oral glucose tolerance test.

Taghreed M.

Mina Qais

Shaima Mahmou

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Artificial pancreas is simulated to handle Type I diabetic patients under intensive care by automatically controlling the insulin infusion rate. A Backstepping technique is used to apply the effect of PID controller to blood glucose level since there is no direct relation between insulin infusion (the manipulated variable) and glucose level in Bergman’s system model subjected to an oral glucose tolerance test by applying a meal translated into a disturbance. Backstepping technique is usually recommended to stabilize and control the states of Bergman's class of nonlinear systems. The results showed a very satisfactory behavior of glucose deviation to a sudden rise represented by the meal that increase the blood glucose

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Publication Date

Tue Sep 01 2020

Journal Name

Al-nahrain Journal Of Science

Spectrophotometric Determination of Co(II) in Vitamin B12 Using2-(biphenyl-4-yl)-3-((2-(2,4-dinitrophenyl) hydrazono)methyl) imidazo [1,2-a]pyridine as Ligand by Flow Injection–Merging Zone Analysis

Suhair

Bushra

Naeemah

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(2)

Publication Date

Sat May 31 2025

Journal Name

3rd International Scientific Conference For Human And Social Studies And Epistemological Challenges

Frankenstein Complex in Daniel H. Wilson's Robopocalypse ( ): Artificial Intelligence Conspiracies

With the advent of technology

the fear of losing control has consistently accompanied humanity. While humans have discovered

invented

and created many remarkable things

they have also been haunted by the possibility of their creations turning against them. This fear

often referred to as the Frankenstein Complex

derives its name from Mary Shelley's Frankenstein (􀀔􀀛􀀔􀀛)

in which Dr. Frankenstein's creation ultimately destroys its maker. The Frankenstein Complex embodies the subconscious fear of artificial intelligence (AI) surpassing and potentially dominating humankind. This apprehension has inspired numerous literary works

including Daniel H. Wilson’s novels. The present study examines the widespread fear of AI

which has fueled conspiracy theories in literature. These theories have not only amplified public anxiety but also hindered understanding among those with limited knowledge of AI and robotics. Dr. Wilson

a robotics expert

uses his imagination as a driving force for both his writing and his inventions. The research focuses on incidents leading to the rise of robots

the concept of the New War

how it was fought

and how it concluded. By comparing

contrasting

and analyzing literary elements and devices with prominent conspiracy theories

the study highlights the interplay between fiction and scientific development. The researchers conclude that while many conspiracy theories contain elements of truth

they often inspire scientists to explore them further. Additionally

some conspiracy theories warrant serious consideration. The study recommends acknowledging the Frankenstein Complex while maintaining faith in the potential benefits of artificial intelligence.

Ansam

Mayada

Zahraa

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Publication Date

Mon Jun 19 2023

Journal Name

Journal Of Engineering

Data Classification using Quantum Neural Network

Signal classification

artificial neural network

quantum computing

data analysis and fuzziness.

Ghassan H.

Zainab T.

Hassan Saadallah

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In this paper, integrated quantum neural network (QNN), which is a class of feedforward

neural networks (FFNN’s), is performed through emerging quantum computing (QC) with artificial neural network(ANN) classifier. It is used in data classification technique, and here iris flower data is used as a classification signals. For this purpose independent component analysis (ICA) is used as a feature extraction technique after normalization of these signals, the architecture of (QNN’s) has inherently built in fuzzy, hidden units of these networks (QNN’s) to develop quantized representations of sample information provided by the training data set in various graded levels of certainty. Experimental results presented here show that

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Publication Date

Tue Jun 14 2022

Journal Name

International Journal Of Health Sciences

Knee osteoarthritis

osteoarthritis

Knee osteoarthritis

classification

molecular disorder

risk factors

clinical findings

treatment

Hind Shakir

Shahad Adil Abd

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Osteoarthritis (OA) is recognized as a main public health difficult. It is one of the major reasons of reduced function that diminishes quality of life worldwide. Osteoarthritis is a very common disorder affecting the joint cartilage. As there is no cure for osteoarthritis, treatments currently focus on management of symptoms. Pain relief, improved joint function, and joint stability are the main goals of therapy. The muscle weakness and muscle atrophy contribute to the disease process. So, rehabilitation and physiotherapy were often prescribed with the intention to alleviate pain and increase mobility. Medical therapy provides modest benefits in pain reduction and functional improvement; however, non-steroidal anti-inflammatory dru

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(1)

Publication Date

Sun Dec 09 2018

Journal Name

Baghdad Science Journal

Tadpole Domination in Graphs

Dominating set

Tadpole graph

Tadpole domination number. Mathematical subject classification: 05C69.

M. N.

P. A. Khuda

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A new type of the connected domination parameters called tadpole domination number of a graph is introduced. Tadpole domination number for some standard graphs is determined, and some bounds for this number are obtained. Additionally, a new graph, finite, simple, undirected and connected, is introduced named weaver graph. Tadpole domination is calculated for this graph with other families of graphs.

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Publication Date

Sat Jun 01 2024

Journal Name

Alexandria Engineering Journal

U-Net for genomic sequencing: A novel approach to DNA sequence classification

DNA sequence classification U-net architecture Deep learning Genomics Sequence data

Raghad K

Azmi Tawfeq Hussein

Ali Jbaeer

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The precise classification of DNA sequences is pivotal in genomics, holding significant implications for personalized medicine. The stakes are particularly high when classifying key genetic markers such as BRAC, related to breast cancer susceptibility; BRAF, associated with various malignancies; and KRAS, a recognized oncogene. Conventional machine learning techniques often necessitate intricate feature engineering and may not capture the full spectrum of sequence dependencies. To ameliorate these limitations, this study employs an adapted UNet architecture, originally designed for biomedical image segmentation, to classify DNA sequences.The attention mechanism was also tested LONG WITH u-Net architecture to precisely classify DNA sequences

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