The study was carried out for  the period    March 2007 -

January 2008 , in order to describe the status of the environmental sanitation and the prevalence of rodents infestation in nine quarters in Baghdad city . The results showed that the PI varied between 40 -

100% in garbage accumulation places and between 33.3 - 100% in the

other sites (houses , shops , bakeries and book shops) . It was noticed that, no rodents control activities were carried out from 2003 till now because of the unsuitable conditions a especially in Baghdad city . The level of ES was bad in general according to three degrees of evaluation (weak , mid and good)

A microbial contamination of several primary schools (official and private) in
Baghdad city was conducted. Sampling was performed in each school from desk,
door handle, and hand of students.
Out of 113swabs (classes desk, door holder, and students hands ) obtained from
ten primary schools, growth wasobserved in 91 samples (80.5%) (for official
school 84.6% and 71.4 for private school.
The results of recent study revealed that the official schools showed higher
contamination levels(130 CFU ) than private ones (90 CFU).
Resultes revealed that a total of 12 morphologically different bacterial species
were isolated from 62 bacterial isolates,among which gram negative bacteria 40
isolates(64.5%) were higher than

Objectives: The study aims to assess the nutritional status, identify nutrition-related health problems and
find out the relationships between nutritional status and demographic characteristics of the pregnant
adolescents in Baghdad City.
Methodology: A descriptive study was carried out from April/20/2009 to June/30/2009 through a "Nonprobability"
purposive sample of (196) pregnant adolescents their age between (13–19) years who attend (14)
primary health care centers in Baghdad City seeking for antenatal care. The data were collected by the
investigator who interviewed the pregnant adolescents and filled out the constructed questionnaire formats
which designed for the purpose of the study. Internal consistency of

     As a result of the pandemic crisis and the shift to digitization, cyber-attacks are at an all-time high in the modern day despite good technological advancement. The use of wireless sensor networks (WSNs) is an indicator of technical advancement in most industries. For the safe transfer of data, security objectives such as confidentiality, integrity, and availability must be maintained. The security features of WSN are split into node level and network level. For the node level, a proactive strategy using deep learning /machine learning techniques is suggested. The primary benefit of this proactive approach is that it foresees the cyber-attack before it is launched, allowing for damage mitigation. A cryptography algorithm is put

The Normalization Difference Vegetation Index (NDVI), for many years, was widely used in remote sensing for the detection of vegetation land cover. This index uses red channel radiances (i.e., 0.66 μm reflectance) and near-IR channel (i.e., 0.86 μm reflectance). In the heavy chlorophyll absorption area, the red channel is located, while in the high reflectance plateau of vegetation canopies, the Near-IR channel is situated. Senses of channels (Red & Near- IR) read variance depths over vegetation canopies. In the present study, a further index for vegetation identification is proposed. The normalized difference vegetation shortwave index (NDVSI) is defined as the difference between the cubic bands of Near- IR and Shortwave infrared

This paper presents a hierarchical model of localized company effective when is used in a university campus or site. To highlight the standard criteria for each layer of the model and to prove the positive aspects of this model is the best in use and make the Dell Network as case of study. Through the case of study it has been shown that the expansion of the on-site network does not affect services or bandwidth.

The objective of this work is to design and implement a cryptography system that enables the sender to send message through any channel (even if this channel is insecure) and the receiver to decrypt the received message without allowing any intruder to break the system and extracting the secret information. This work modernize the feedforward neural network, so the secret message will be encrypted by unsupervised neural network method to get the cipher text that can be decrypted using the same network to get the original text. The security of any cipher system depends on the security of the related keys (that are used by the encryption and the decryption processes) and their corresponding lengths. In this work, the key is the final weights

The aim of the research is to study the comparison between (ARIMA) Auto Regressive Integrated Moving Average and(ANNs) Artificial Neural Networks models and to select the best one for prediction the monthly relative humidity values depending upon the standard errors between estimated and observe values . It has been noted that both can be used for estimation and the best on among is (ANNs) as the values (MAE,RMSE, R2) is )0.036816,0.0466,0.91) respectively for the best formula for model (ARIMA) (6,0,2)(6,0,1) whereas the values of estimates relative to model (ANNs) for the best formula (5,5,1) is (0.0109, 0.0139 ,0.991) respectively. so that model (ANNs) is superior than (ARIMA) in a such evaluation.

 A particle swarm optimization algorithm and neural network like self-tuning PID controller for CSTR system is presented. The scheme of the discrete-time PID control structure is based on neural network and tuned the parameters of the PID controller by using a particle swarm optimization PSO technique as a simple and fast training algorithm. The proposed method has advantage that it is not necessary to use a combined structure of identification and decision because it used PSO. Simulation results show the effectiveness of the proposed adaptive PID neural control algorithm in terms of minimum tracking error and smoothness control signal obtained for non-linear dynamical CSTR system.

The presence of residual antibiotics in water results in the development of antibiotics resistant genes. The available wastewater treatment systems are not capable of removing such antibiotics from sewage. Thus, antibiotics need to be removed before the discharge of wastewater. Adsorption is among the promising techniques for the wastewater treatment to aid the removal of a wide range of organic and inorganic pollutants. The present work is a contribution to the search for an economical method for the removal of low concentrations of amoxicillin (AMX) from water by adsorption on water treatment residue, WTR, taken from a local drinking water facility. The chemical composition and the adsorptive characteristics of the material were first