AL-Yarmouk Journal

Five hundred ninety (590) pregnant women were taken and CBC and blood of film were done to
diagnose anemia and its types .The study was done in AL-Batol teaching hospital in Diyala
province .The study showed four hundred and four(404) pregnant women affected with anemia at
percentage (68.5 %) as follow :First trimester (1-3 months) 83 cases (14.1 %) ,second trimester (4-
6 months) 116 cases (19.7 %) and third trimester (7-9 months) 205 cases (34.7 %) .Also the result
showed the percentage of anemia between pregnant women who take prophylactic drugs ( iron
,folic acid ,vit.B12) was (21.8%) lower than pregnant women who did not take it (49.3%).The
percentage of anemia between women who were primigravida (16.6%), lower than pregnant
women who were multipara gravid (51.9%) . The forms of anemia in this study were classified as
mild, moderate and severe anemia, the most common type was mild anemia (50.7%) followed by
moderate anemia (12.7%), then sever anemia (5.1%).The most common type of anemia is
microcytic and hypochromic anemia .

The present study investigates the perceptions of undergraduate students at the department of Medical laboratory Techniques (DMLT) of Al-Yarmouk University college to the sources of academic stress implemented on them. The study was inspired by T3 test results derived from blood samples obtained from participated students before and after examination. ELESA was used for determining T3 .The mean level of T3 after examination (1.189 ƞmol/L ± 0.03) was higher than mean level before examination (1.166 ƞ mol /L ± 0.02).Data regarding academic stress sources were collected with the aid of a questionnaire in which 50 students were participated. Participants vary in stage of college and gender. The questionnaire was consisted of 35 situations that are potentially stressful. These situations were divided into 4 areas of stressor sources. The areas were personal, fear of failure, interpersonal difficulties with lecturers, and the lecturer-student relationship/teaching methods

The process of molecular domestication that occurred on DNA transposons and give what is
called neogenes that may play an important role in the human genetic instability. One of these
Neogene is TIGD3 (Tigger-derived (TIGD) family of proteins) which is of unclear role in
human genome.
Aim: Study the expression of Neogene TIGD3 in colorectal cancer cell lines and its possible
role in carcinogenesis.
Method: By western blot method we study the protein expression of TIGD3 gene in twelve
colorectal cancer cell lines (HCT116, SW48, LOVO, DLD1) which are microsatellite instable
MSI, (SW480, SW620, HT29, LS123, COLO205, T84, SW403, SW1463) which are
microsatellite stable MSS and in healthy tissue of colon as a control in our study.
Results: We obtained a protein expression of TIGD3 gene in all these 12 colorectal cancer
cell lines with variable degree of expression with multiple isoforms which was not seen in
healthy colon tissue.
Conclusion: TIGD3 may have a role in colorectal cancer either in initiation, promotion or
progression which need further research and confirmation

The antibacterial activity of ethanol and water extracts of borage officinal’s
Eucalyptus leaves, and Cinnamon, were investigated in vitro using disk diffusion
method. All Extracts were tested against four pathogenic bacteria (Staphylococcus
aureus, Klebsiella spp, Pseudomonas aregenosia and Proteus spp). Cinnamon ethanol
extract exhibited better antibacterial activity against gram positive and gram negative
bacteria then aqueous extract gave the same effect against the same bacteria.
Cinnamon ethanol extract gave highest effect against S. aureus, then lower effect on
Klebsiella spp and Proteus spp,and no effect against P. aregenosia.
borage officinal’s ethanol extract gave the highest effect against S.aureus ,then
very lower effect was shown against P.aregenosia, while no effect was observed against
Klebsiella spp and Proteus spp . Eucalyptus leaves ethanol extract gave high effect on
S. aureus,while low effect was observed against P. aregenosia and Proteus spp, no
effect was shown against Klebsiella spp. In conclusion the antibacterial activity of the
plant extracts studied showed a better effect on Gram positive bacteria as compare
with Gram negative bacteria.

In this paper we translate some functions where have the ability of
differentiation infinity of time and difficult finding integration to them or
their integral take long time to solve, therefore we thought by taylor
series which essentially depends on differentiation.
We integrated this function definite integral founded the nearly integral
after make a cutting in series, then integrate the the function of two
variable twice definite integral to find the nearly integral after make a
cutting in series and gave some examples, after that, we proved the
uniqueness of the reminder of the series.

The cryptography of image is very important
in the communication networks, when you
transmit image from sender and receiver does
not understand the original image, a feature of
secure out of obscurity.
This paper, has been proposed a new algorithm
for cryptography of image by using edge
detection method. Five steps used to encrypt
original image, first enhancement image by
Point detection, Laplacian filter, and
Convolution mask. Then compress image by
two level of Haar Wavelet Transform after that
used wiener filter to secure data of original
image.
The outcome of system gets efficiency,
powerful, and high security image in the five
steps, it has cryptography of image to without
sensitive attackers, the form of image it cannot
be a known or exchange during transmit from
sender to receiver.

In modern security models,
cryptography plays a fundamental role
in protecting data integrity and
confidentiality in information systems.
However, cryptography itself is subject
to cryptanalysis attacks. To reduce the
cryptanalysis attack risk
Encryption/Decryption application is
presents in this paper. Encryption
involves several processes which is
implemented in reverse order in
decryption , this method ensure make
hard to intruder to guess the true
sequences to solve encrypted message
.The algorithm involves substitution
,shifting , and folding , these process
will be implemented in reverse order in
decryption causes a confusion for
intruder who does not know the right
sequence of the algorithm. Encryption
key is dynamic and generated
independently for each text depending
on the length of the message to be
encrypted and Practical because there
is no need to exchange encryption keys
between sender and receiver cause the
receiver knowing how to generate
them. As a result, the proposed system
diffusion is accomplished by using
folding algorithm which rearrange the
character of the message after
encryption in such away that the
frequency of characters will not be
appear clearly. Confusion also is
performed by using several keys for
the same message each key should
consist of 2 digits then each digit is
used alone with single letter of
plaintext then the remaining encryption
keys used sequentially according to
their generating sequence. For a small

Practically there is no point in leave usage of
Star/Delta Starter control circuits in situations that
include different various types of motors due to its
importance to start working for specific motors at
least loss of current. Nevertheless, curry out of
Star/Delta Starter control circuit on synchronous
and induction generally need much more work and
efforts and it is not easy to implement in general
commercial workstations or remote fields. On the
contrary, applied to Star/Delta Starter control circuit
in the Programmable Logic Control (PLC) is
proposed way to be applied and identify of its
components of this work that regard as peripherals
to the Programmable Logic Control (PLC). Pico
type of PLC will be employed for this purpose.
Simplify of programming circuit written codes
caused by ladder language and applied by software
name's Picosoft version 6 for this project case.
Many developing countries began using PLC in its
industrial field in a jiffy. In this article, there is a
providing for simulation, circuit diagram and
communication for Star/Delta Starter control circuit
by PLC and its result on board separately.

The Electrocardiogram (ECG) is an important signal that reports the activity of the
human heart, it is pretended to be a diagnostic source for different cardiac diseases. The Heart
Atrial Enlargement (HAE) is one of the known heart diseases that it is diagnosed based on
manual reading of ECG signal reports. The recording of ECG signal could be affected by
different sources of noise that lead to non-accurate analysis of the recorded signal. In this
research a new algorithm has been suggested to give an automatic indication to the HAE. The
proposed algorithm using three stages of processing to achieved its job. The algorithm uses
Savitzky Golay (SG) filter for noise cancellation to clean and smooth the ECG signal from any
unwanted noise. MATLAB simulation has been used to build and test the suggested algorithm.
The designed algorithm has been tested on ECG waves from the MIT-BIH MGH/MF waveform
database. The proposed algorithm has achieved an overall matching performance of 88.235 %.

Finding the path planning solution
considered as one of the most
important aspects in the navigation of
the robot, involving one of the
optimization methods is the most
successful way to get the best path.
This paper proposed a mixing
approach for robot path planning, by
applying modified Artificial Potential
Field (APF) to find accepted path then
applying particle swarm optimization
(PSO) to find the best coordinate
locations for the intermediate points
that chosen from the original APF
path, in order to make an iteratively
enhancement till reaching the shortest
path. This approach has been tested in
two cases, first in case of mass point
and second in case of two-link robot
arm. The results clearly show the
effectiveness and strength where the
path length cost minimized from
10.8519m to 10.2144m after
optimization, which is represent the
best solution for the tested
environment.

Wireless Sensor Network (WSN) has
been widely used for monitoring where
sensors are deployed to operate
independently to sense abnormal
phenomena. Most of the proposed objects
monitoring systems are designed based on a
predetermined sensing range which does not
reflect the sensor reliability, object
characteristics, and the environment
conditions. Measuring of the capability of a
sensor node to accurately detect a moving
object within a sensing is of great important
for surveillance applications. This paper
presents an efficient mechanism for object
detection and localization based on
probabilistic sensing model. Different
models have been presented theoretically in
this paper to examine their adaptability and
applicability to the real environment
applications. The numerical results of the
experimental evaluation have showed that
the probabilistic sensing model provides
accurate observation and delectability of
objects, and it can be utilized for different
environment scenarios.

E-government is considered to be a new phenomenon in the revolution of information and communication
technology. In recent years, clear steps have been taken by many governments around the world towards
the adoption of e-government in order to enhance the engagement of citizens and other parties with the
government, thereby leading to efficiency, cost-effectiveness, trust, transparency and access to government
public services. E-government adoption is surrounded by major challenges, including technical, social,
legislative and administrative barriers. The digital divide, in addition to other social and cultural issues, are
considered to be important factors that impact on citizens' willingness to accept or resist this new
innovation. The scope of this research is to investigate in detail the birth registration system in Iraq, how it
works and how the paper-based registration system can be transformed into an electronic system. A
preliminary set of use cases are suggested based on a quick study of the birth registration system. As the
research methodology, examples reported to the literature from similar countries are studied in addition to
recent information published on those governments' websites. The findings show the benefits of using egovernment services to reduce the cost, time and effort required to obtain those services. Moreover, the
findings state the considerable barriers related to the adoption of e-government applications. Finally, they
indicate the possibility of starting to apply electronic applications with preliminary work. Information
resources, system analysis and design, legal issues and project management are the limitations of this
research.

In the recent few years, the
terms Internet of Things “IoTs & Web
of Things “WoTs” have been existed
and emerged as uncertainty on the
extent of the difference between these
two concepts. In this survey, some
points to differentiate between these
two terms were identified, besides
determining the relationship and
interest between them.
Nowadays, the term "IoTs"
became one of the progressive
promising and exiting technology and
business developments. The term
"internet of Things" started when the
work on the Radio Frequency Identify
tags (RFID) started and then expanded
to connect actuators and sensors. It acts
as a base for the term “WoTs”, where
the smart objects representations were
put on the Web and is not only
available to be accessed, yet it is also
gathered and reused. Actually, the web
of is expected to facilitate the access to
the smart things capabilities and to
boost the added services value which
depends on combining the
conventional resources of web with
those resources that represent entities
found in the real world.

The Random Number Generators (RNGs) are very important in a wide range of
applications, the most popular one in security fields rely on the randomness of certain parameters
and also in many other fields.
This paper proposed a new algorithm for generating a pseudo random number, based on
using secret sharing method. The proposed method takes Arabic text as the seed which represents
as the secret value of the secret sharing, then specify the length and range of RNG, after that
generating several shares. These shares can be used as the random numbers. The test results show
the proposed method has long period and proved the efficient using Arabic text as seed of the
RNG.

The use of Information Communication Technology (ICT) in English language teaching classrooms depends on the available aids the lecturers' knowledge, and the students. One of the important factors is lecturers' knowledge and skills in using ICT in class. This study reports a case study of 12 EFL instructors who are working in the department of English at Al-Yarmouk University College who use ICT in teaching different topics of English as foreign language (FL) learners .The data of the study were collected from observation of instructors’ lectures. Each lesson was a video recorded and played back during a stimulated recollection interview and followed by instructors after each lecture. Mishra and Koehler(2006) suggest the use of technology is associated by the dynamic relationship between instructors’ technological, pedagogical and content knowledge ( TPCK). The analysis of the interview data will hopefully provide a better understanding of how the different types of knowledge interact and influence instructors’ use of ICT in teaching English to FL learners. Furthermore, through an analysis of instructors’ use of ICT in teaching specific subject content, this study also hopes to advance the development of the TPCK model. The findings will also contribute to an understanding of the role of literature in language.

The segmentation of images is a vital topic in the field of image processing. It depends on a series of subsequent operations and process. The subsequent processes in this research reviewed three methods of segmentation: Adaptive thresholding, Fuzzy C mean, and k-mean for currency image segmentation. The three methods applied on the IPC and the results in subsequent operations can be important in the extract features that will be useful in different approach such counterfeit currency. The three methods were applied to the paper currency (PC) images with a dependence on two layers (K =2) and the value of the number of layers was increased with Fuzzy C-mean and K-mean segmentation Such as five layers, for example. A convergence of the results of the three methods was observed and it can be used in the case of two layers with a better Adaptive thresholding segmentation. If you choose more than two layers, we notice a Fuzzy C mean that gives better results.

a system was designed to recognize
the Human hand manual alphabet of
the American Sign Language utilizing
artificial neural network that implemented to convert the (ASL) finger spilling
alphabet into printed letters and using
matlab to implement program that converting printed letters into animated
(ASL) .the hardware system uses flex
sensors these sensors were positioned
on gloves to obtained The finger joint
angle data when represent each letter
of (ASL) and DAQ NI-6212 which was
the interface between the sensors and
the pc.DAQ produce 1000 readings
per second the average of this readings is taken and normalization process
is performed on the data and then applied to trained neural network to recognize which letter was performed by
the hand and print it on the screen. On
the other hand a matlab program was
build using forward and inverse kinematics equations of human hand this
program take normal language letters
as input and produce an animated
(ASL) letter as output. The hardware
system have been trained and tested