E-mail is an efficient and reliable data exchange service. Spams are undesired e-mail messages which are randomly sent in bulk usually for commercial aims. Obfuscated image spamming is one of the new tricks to bypass text-based and Optical Character Recognition (OCR)-based spam filters. Image spam detection based on image visual features has the advantage of efficiency in terms of reducing the computational cost and improving the performance. In this paper, an image spam detection schema is presented. Suitable image processing techniques were used to capture the image features that can differentiate spam images from non-spam ones. Weighted k-nearest neighbor, which is a simple, yet powerful, machine learning algorithm, was used as a clas

Radioactive liquid waste contaminated with cesium-137 found in the radiochemistry laboratories at Tuwaitha site, south of Baghdad, was treated in this work. Bentonite was used as a sorbent material for the removal of radioactive cesium-137 from liquid waste by ion exchange method. The results indicated that the best removal efficiency obtained was 95.13% with experimental conditions of 2 h mixture time, 0.04 g sorbent mass, and pH=10 for the radioactive liquid. It was found that the experimental results match well with Langmuir and Freundlich models, with better matching with the latter.

     In this paper a design of new robust and dynamic cryptosystem using stream key generator with good random statistical properties is introduced. The results of the statistical tests, initialization and the components of the proposed generator of the suggested cryptosystem are detailed in [1]. The proposed cryptosystem called Robust and Efficient Dynamic Stream Cipher Cryptosystem (RDSCC). The dynamic here means the generator of RDSCC has unfixed construction; the design will be changed as the seed (initial) key changed. The generator will construct itself by barrows number of Linear Feedback Shift Registers (LFSR’s), randomly, stored in protected bank file. The RDSCC is constructed to be flexibl

In today‟s fierce competitive world, entrepreneurship has taken an upswing because business owners are facing a technological challenge in which uniqueness and particularity are key elements to detour rivals. In this essence, entrepreneurs have to go by not only developing business plans but also a deep analysis of their environment.
Business plans for entrepreneurs can take different models depending on the party that will evaluate its elements based on its requirements. However, there exists a basic format that most entrepreneurs follow. Because of time constraints, business owners are urging its usefulness and so are the investors. Business plans are all about nailing down the business idea into writing and analysis, while th

Field studies of the slopes of Bammo anticline, in Northeast of Iraq, was carried out in five selects stations, where rock slopes and the discontinuities were surveyed in these stations and its relationships with failures were determined. The field work was revealed the abundance of rock slope failures, the dominant types are rock fall and toppling.                                                           

     Slope stabili

This study dedicates to provide an information of shell model calculations, limited to fp-shell with an accuracy and applicability. The estimations depend on the evaluation of Hamiltoian’s eigenvalues, that’s compatible with positive parity of energy levels up to (10MeV) for most isotopes of Ca, and the Hamiltonian eigenvectors transition strength probability and inelastic electron-nucleus scattering.      The Hamiltonian is effective in the regions where we have experimented. The known experimental data of the same were confirmed and proposed a new nuclear level for others.

The calculations are done with the help of OXBASH code. The results show good agreement with experimental energy states

The Zubair Formation is the most significant sandstone reservoir in Iraq which deposited during the Barremian. The study area is located in the central part of Iraq at the Kifl oil field, in the northern part of the Mesopotamian Zone.

The petrographic study showed that quartz mineral is the main component of the sandstone in Zubair Formation with very low percentage of feldspar and rare rock fragments to classified as quartz arenite sandtone. There are five lithologic changes (lithofacies) that have characterized the studied succession: - well sorted quartz arenite, poorly sorted quartz arenite, poorly sorted graywacke, sandy shale, and shale.  These lithofacieses were deposited in the deltaic environments as three associate

    The Fuzzy Logic method was implemented to detect and recognize English numbers in this paper. The extracted features within this method make the detection easy and accurate. These features depend on the crossing point of two vertical lines with one horizontal line to be used from the Fuzzy logic method, as shown by the Matlab code in this study. The font types are Times New Roman, Arial, Calabria, Arabic, and Andalus with different font sizes of 10, 16, 22, 28, 36, 42, 50 and 72. These numbers are isolated automatically with the designed algorithm, for which the code is also presented. The number’s image is tested with the Fuzzy algorithm depending on six-block properties only. Groups of regions (High, Medium, and Lo

Wireless Sensor Networks (WSNs) are composed of a collection of rechargeable sensor nodes. Typically, sensor nodes collect and deliver the necessary data in response to a user’s specific request in many application areas such as health, military and domestic purposes. Applying routing protocols for sensor nodes can prolong the lifetime of the network. Power Efficient GAthering in Sensor Information System (PEGASIS) protocol is developed as a chain based protocol that uses a greedy algorithm in selecting one of the nodes as a head node to transmit the data to the base station. The proposed scheme Multi-cluster Power Efficient GAthering in Sensor Information System (MPEGASIS) is developed based on PEGASIS routing protocol in WSN. The aim

We present in this paper the development and implementation of a new
steganographic method, the information will be hidden in the selected parts of the
table with floating-point numbers used as stego cover. The method is implemented
by transform each character in the text into numbers, then stores it as part of the
floating-point number. The main goal of steganography was fulfilled since the
resulted table did not drown any suspicion, the same table can be used by
experimental person for the different calculation.

The present study was designed to investigate the possibility of exploiting the interspecies interaction of microbial cells in order to enhance the production of prodigiosin by local isolate S. marcescens S23. Prodigiosin is a promising drug owing to its characteristics of antibacterial, antifungal, immunosuppressive and anticancer activities. S. marcescens S23 was isolated from soil sample and already recognized via morphological, biochemical and molecular identification process. The first step was to detect the optimal conditions for maximum prodigiosin production using chemically defined liquid medium. The results revealed that the optimal conditions for prodigiosin production were sucrose as carbon source; peptone as nitrogen source;

The relationship between F2- layer critical frequencies (foF2), total sunspot number (Ri), northern hemisphere sunspot number (Rn) and southern hemisphere sunspot number (Rs) at station located in mid- latitudes on latitude near to latitude of Iraq (Rome station, lat.: 42o N and lon.: 13o E) and for 2003(the descending phase of solar cycle 23) were studied.
This research work aims to know the correlation range between them, through correlation coefficients which correlate between them, and hence, the dependence on that index for predicting F2- layer critical frequencies. When the correlation coefficients between foF2, Ri, Rn and Rs were compared for different seasons of 2003, It is found that, correlation coefficient between foF2 and

The influence of gamma radiation and blend ratio on the optical constants (refractive index (n), extinction coefficient (k), and real & imaginary parts of dielectric constants (C) & (C)) for high density polyethylene (HDPE) Polypropylene (PP) blends using the transmittance and reflectance spectra have been discussed. For unirradiated samples the results showed that (n) increases in rich PP sample while (k) declared strong dependence on blends ratio and revealed systematie variation. It was found that (n) increases as a result of irradiation by gamma-ray with doses (80 and 240) kGy indicating that polymer chain crosslinking is the dominate phenomena, while for irradiation with dose 160 kGy (n) is found to decrease indicating that

Implementation of Fuzzy Reasoning by stimeture of Neural Network method is used in this work, weights of Neural Network is Fuzzy Reasoning. The FNN can automatically identity the Fuzzy Rules and tune the membership function by modliying the connection weights of Network using the back-propagation algorithun, Post-classification marles is used to redarce the number of isolated mis-classified pixels occur after the pixel-by-pixel classification principle.

     During this paper, new Schiff's base derivatives [F₁-F₅] were prepared through the reaction of dapsone drug with different substituted benzaldehyde compounds. Schiff's bases were then converted into 2,3-dihyroquinazolin-4(1H)-one derivatives [F₆-F₁₀] through the reaction with 2-amino benzoic acid in ethanol. The synthesized compounds were identified by their physical properties using UV-Vis, FT-IR and ¹H-NMR analyses. The liquid crystalline properties of some prepared compounds revealed smectic and nematic phases. Using two separate bacterial species, Pseudomonas aeruginosa (Gram -ve) and Staphylococcus  aureus<

A neutron induced deuteron emission spectra and double differential cross-sections (DDX), in 27Al (n, D) 26Mg, 51V (n, D)50Ti , 54Fe ( n, D)53Mn and 63Cu (n, D) 62Ni reactions, have been investigated using the phenomenological approach model of Kalbach. The pre-equilibrium stage of the compound nucleus formation is considered the main pivot in the discription of cross-section, while the equilibrium (pick up or knock out ) process is analyzed in the framework of the statistical theory of cluster reactions, Feshbach, Kerman, and Koonin (FKK) model. To constrain the applicable parameterization as much as possible and to assess the predictive power of these models, the calculated results have been compared with the experimental data and othe

In this paper, a study of improving the physical properties, mechanical and thermal insulation are conducted to produce gypsum boards with lightweight from waste materials. These boards can be used as an internal packaging wall or partitions tile of non-Bering with a high thermal insulation. Gypsum plaster mixed with waste material like (PET Polyethylene terephthalate, sawdust in size4.75mm and rubber) in different ratio (5%, 7%, 10%, 15%, 20%, 25%and 30%) of plaster to produce boards and then to find out the effect of these materials on the properties of boards, so that tests of consistency, setting time, flexural strength, density and thermal conductivity were achieved for all samples to find out this effect. The result shows that the

Rheumatoid arthritis (RA) can cause permanent joint damage and disability through inflammation in the joints. Other organs, such as blood vessels, lungs, heart, eyes and skin may also get affected. This study aimed to evaluate the changes of some oxidative stress markers including oxidative DNA damage and the clinical outcomes that are associated with Iraqi rheumatoid arthritis patients. Commercial enzyme linked immunosorbent assay (ELISA) kits were applied to evaluate malondialdehyde (MDA), DNA damage marker 8-hydroxy-2-deoxyguanosine (8-OHDG), and glutathione peroxidase 3 (GPX3) levels in serum of 60 patients having RA with ages ranging between 20-70 years and 30 age-matched healthy controls. The results showed a significant increase i

In this study, a series of novel Mannich bases were synthesized by the conjugation of Vitamin B3 with the medicinal compound sulfamethoxazole. Five Schiff base compounds were prepared via a condensation reaction involving five different aldehydic precursors. Additionally, a compound incorporating an aromatic thiadiazine ring was synthesized. The prepared compounds were characterized using FT-IR, ¹H and ¹³CNMR spectrometric methods, and melting point measurements.  Molecular docking studies were performed to investigate the interactions of the synthesized compounds with three specific bacterial protein targets, namely: 4H2M from Escherichia coli, 3FYV from Staphylococcus aureus, and 6P4T from Salmonella Besides. Doc

    The main purpose of the work is to apply a new method, so-called LTAM, which couples the Tamimi and Ansari iterative method (TAM) with the Laplace transform (LT). This method involves solving a problem of non-fatal disease spread in a society that is assumed to have a fixed size during the epidemic period. We apply the method to give an approximate analytic solution to the nonlinear system of the intended model. Moreover, the absolute error resulting from the numerical solutions and the ten iterations of LTAM approximations of the epidemic model, along with the maximum error remainder, were calculated by using MATHEMATICA® 11.3 program to illustrate the effectiveness of the method.

The severity of UTI produced by E. coli is due to the expression of a wide
spectrum of virulence factors. In this study the role of E. coli virulence determinants
in the pathogenesis of UTI in urinary catheterized and non-catheterized patients has
been evaluated. The isolates were recovered from 129 patients admitted to the
hospital. Virulence genes of E. coli were detected by polymerase chain reaction
analysis for the prevalence of these virulence factors. The targeted genetic
determinants were those coding for Type 1 fimbriae, Pyelonephritis-Associated Pili
(PAP), Antigen 43 (Ag43), α-Hemolysin and Aerobactin siderophores among the
studied isolates. The prevalence of genes fimH, papC, ang43, hlyA and iutA were<

Voucher documents have become a very important information carrier in daily lives to be used in many applications. A certain class of people could exploit the trust and indulge in forging or tampering for short or long term benefits unlawfully. This holds a serious threat to the economics and the system of a nation. The aim of this paper is to recognize original voucher document through its contents. Forgery of voucher document could have serious repercussions including financial losses, so the signature, logo and stamp that are used to determine being a genuine or not by using multilevel texture analysis. The proposed method consists of several operations. First, detection and extraction of signature, logo and stamp images from original

Since decades silver was depended worldwide as a treatment to a lot of diseases
ranging from burn infections, anthrax, and typhoid fever to bacterial conjunctivitis
in stillbirth, but its effectiveness against biofilms is still undetermined. Salmonella is
a major cause of food poisoning outbreaks especially in the third world countries.
Thus, in the present study; the antimicrobial activity of silver nanoparticles (Ag-
NPs) against Salmonella enterica biofilm was examined; their activity was
compared with amino acid; D-Glycin and imipenem antibiotic. The result of the
study revealed that Ag-NPs exhibited considerable antimicrobial property against
Salmonella enterica biofilm where the minimum inhibitory concentrat

Facial identification is one of the biometrical approaches implemented for identifying any facial image with the use of the basic properties of that face. In this paper we proposes a new improved approach for face detection based on coding eyes by using Open CV's Viola-Jones algorithm which removes the falsely detected faces depending on coding eyes. The Haar training module in Open CV is an implementation of the Viola-Jones framework, the training algorithm takes as input a training group of positive and negative images, and generates strong features in the format of an XML file which is capable of subsequently being utilized for detecting the wanted face and eyes in images, the integral image is used to speed up Haar-like features calc

This research investigates the dielectric properties (impedance, dielectric constant
and dielectric loss) of SiO2\ Ep :TiO2 \ Ep nanocomposite over the frequency range
of (102-106 Hz ) at room temperature. The dielectric material used is epoxy resin,
while nano-sized titanium dioxide (TiO2) with grain size ( 30nm) , oxide silicon
(SiO2) with grain size (12nm) in state volume ratio (0,0.05 ,0.1) .The effect of
gamma by using (CS137) for period time (17) day was studied Radiation caused
decreasing in real and imaginary parts of dielectric constant and impedance .

    Semantic segmentation is effective in numerous object classification tasks such as autonomous vehicles and scene understanding. With the advent in the deep learning domain, lots of efforts are seen in applying deep learning algorithms for semantic segmentation. Most of the algorithms gain the required accuracy while compromising on their storage and computational requirements. The work showcases the implementation of Convolutional Neural Network (CNN) using Discrete Cosine Transform (DCT), where DCT exhibit exceptional energy compaction properties. The proposed Adaptive Weight Wiener Filter (AWWF) rearranges the DCT coefficients by truncating the high frequency coefficients. AWWF-DCT model reinstate the convolutional l

The present study evaluates the insecticidal activity of (Acetone, 80% Methanol and water) crude leaf extract of AdhatodavasicaagainstBemisiatabaci. The extracts of (Acetone, Methanol 80%) showed 100, 86.6% mortality of nymphsBemisiatabaci at 5% concentration. Then the extracts of (Acetone, Methanol 80%) showed 100, 90% mortality of pupaBemisiatabaci at 5% concentration. Phytochemical screening revealed the presence of (Flavones, Volatiles oils, Tannins, Saponines, Glycosides, Alkaloids,Resins and Terpenoids)in methanol80% crude extract. It can be concluded that the acetone and methanol crude leaf extract of A. vasicaNees can cause mortality in (nymphs, pupa) Bemisiatabaci, so it can be used asinsecticides.

Nowad ays, with the development of internet communication that provides many facilities to the user leads in turn to growing unauthorized access. As a result, intrusion detection system (IDS) becomes necessary to provide a high level of security for huge amount of information transferred in the network to protect them from threats. One of the main challenges for IDS is the high dimensionality of the feature space and how the relevant features to distinguish the normal network traffic from attack network are selected. In this paper, multi-objective evolutionary algorithm with decomposition (MOEA/D) and MOEA/D with the injection of a proposed local search operator are adopted to solve the Multi-objective optimization (MOO) followed by Naï

General medical fields and computer science usually conjugate together to produce impressive results in both fields using applications, programs and algorithms provided by Data mining field. The present research's title contains the term hygiene which may be described as the principle of maintaining cleanliness of the external body. Whilst the environmental hygienic hazards can present themselves in various media shapes e.g. air, water, soil…etc. The influence they can exert on our health is very complex and may be modulated by our genetic makeup, psychological factors and by our perceptions of the risks that they present. Our main concern in this research is not to improve general health, rather than to propose a data mining approach

Breast cancer was one of the most common reasons for death among the women in the world. Limited awareness of the seriousness of this disease, shortage number of specialists in hospitals and waiting the diagnostic for a long period time that might increase the probability of expansion the injury cases. Consequently, various machine learning techniques have been formulated to decrease the time taken of decision making for diagnoses the breast cancer and that might minimize the mortality rate. The proposed system consists of two phases. Firstly, data pre-processing (data cleaning, selection) of the data mining are used in the breast cancer dataset taken from the University of California, Irvine machine learning repository in this stage we