SnS nanobelt thin films were deposited on glass substrates in acidic solution by chemical bath deposition (CBD) method. The belt-like morphologies of as-deposited SnS thin films were characterized by scanning electron microscope (SEM) and transmission electron microscopy (TEM). X-ray diffraction (XRD) and Raman measurements were carried out to confirm the crystal structures and phase purities of SnS nanobelt thin films. The morphologies and phase purities of SnS thin films were influenced greatly by the tin and sulfur precursors. The bandgaps of SnS nanobelts were determined to be 1.39–1.41 eV by UV–vis absorption and photoluminescence (PL) spectra. Current-voltage ((I-V)) and current-time ((I-T)) characteristics were studied to demon

     Widespread COVID-19 infections have sparked global attempts to contain the virus and eradicate it. Most researchers utilize machine learning (ML) algorithms to predict this virus. However, researchers face challenges, such as selecting the appropriate parameters and the best algorithm to achieve an accurate prediction. Therefore, an expert data scientist is needed. To overcome the need for data scientists and because some researchers have limited professionalism in data analysis, this study concerns developing a COVID-19 detection system using automated ML (AutoML) tools to detect infected patients. A blood test dataset that has 111 variables and 5644 cases was used. The model is built with three experiments using Python's Auto-

Offline Arabic handwritten recognition lies in a major field of challenge due to the changing styles of writing from one individual to another. It is difficult to recognize the Arabic handwritten because of the same appearance of the different characters.  In this paper a proposed method for Offline Arabic handwritten recognition. The   proposed method for recognition hand-written Arabic word without segmentation to sub letters based on feature extraction scale invariant feature transform (SIFT) and   support vector machines (SVMs) to enhance the recognition accuracy. The proposed method  experimented using (AHDB) database. The experiment result  show  (99.08) recognition  rate.

A proposed feature extraction algorithm for handwriting Arabic words. The proposed method uses a 4 levels discrete wavelet transform (DWT) on binary image. sliding window on wavelet space and computes the stander derivation for each window. The extracted features were classified with multiple Support Vector Machine (SVM) classifiers. The proposed method simulated with a proposed data set from different writers. The experimental results of the simulation show 94.44% recognition rate.

Imidacloprid is systemic insecticide (1-[(6-chloro-3-pyridinyl) methyl]-N-nitro-2-imidazolidinimine) and the world’s most widely used has significant efficacy against a broad variety of pests and a unique mode of action by using it spreader and irrigation. The persistence of this pesticide in the soil means that it causes environmental damage that must be cleaned up. In this study collected and identified the best bacteria isolate that breakdown imidacloprid from the Plant Protection Director in Baghdad, which has been using neonicotinoid pesticides for years in their own greenhouse for pest control. Using high-performance liquid chromatography HPLC to measuring the residual concentrations of imidacloprid in MSM media at a concentration o

Microbial desalination cell (MDC) has been created for expelling water saltiness, power generation, and wastewater administration. The MDC comprised of three chambers (anode, center desalination, and cathode).Were tested ability of type locally isolated bacteria Bacillus spp.in produce electricity to water desalination. In recent study results showed that a remove where the salinity recorded 4000 ppm at room temperature at the voltages of 0.6 volts and less salinity at room temperature at 0.2 volts was 200 ppm. Recent results highlight the need to reduce time for reduce salinity decreased from 3500 ppm to 500 ppm the eleventh day at a voltage of 0.5 volts that depended on type of substrate.

This study has been achieved to detect the bacterial contamination of red local
and imported meat (Saudi, Australian and Indian). 12 Kg of meat were bought from
six different places of Baghdad (Aldura, Almahmodia, ,Algehad, Alsader city,
Alkhademia, Albyiaa). Meat extraction samples were cultured in different diagnostic
and nutrient cultures to detect bacterial contamination which represented mainly of
Coliform, Staphylococcus aureus and Salmonella bacteria. The results of the
imported meat showed high level in the count of those bacteria in addition to another group (not diagnosed) mentioned as “different species “of bacteria. All of them reached the maximum level of permitted range which specified by “Central Or