Anticyclone of synoptic studies that influence weather and climate of Iraq, The aim of
the study is to clarify the effect variation of repetition of Anticyclone and effect on thermal
characteristic in Iraq were pressure level has been analyzed (1000) millibars and that because
of pressure level is the closet to the earth surface and the clarity of climatic phenomenon
based on a systematic analysis of synoptic seeking maps and observation and (12:00)
according to timing GMT for five climatic stations which is (Mosul, Kirkuk, Baghdad, Rutba,
and Basra) and so far three consecutive climatic cycles which is first climatic cycle for period
(1986-1976). and second climatic cycle for period (1997-1987) and third climatic cycle for
period (2008-1998).It become clear from the result. That study reach, It become clear that a clear depression
in repetition of Anticyclone from climatic session to another climatic session followed by
three climatic session and on all level of study area stations. The contrast repetition of
Anticyclone is one of the factors that help to raise the temperature due to air stillness and the
clarity of the sky that led to the concentration of pollutant and slow in their transition to other
areas. These pollutant increase rising temperatures air textures to the surface of earth because
it absorb ground radiation at night and reflect it to surface of earth as well as the clarity of the
sky during the day helped to increase the amount of solar radiation to the earth it is found
rising temperatures Siberian is the station (Mosul, Kirkuk, Rutba) for October month for
second climatic cycle for period (1997-1987) and third for period (2008-1998) as well as
increase temperatures maximum rate with increasing repetition rate of high semi-orbital in the
stations Mosul, Kirkuk, and Rutba area for each month of January and October in the second
climatic session for period (1997- 19987) as well as in the third climatic cycle for period
(2008-1998) in all stations of studying area for months of January and march and October and
the high rate of maximum temperature with high rate repetition of European Anticyclone in
all stations of studying area in the second climatic cycle for period(1997-1987) 0f January,
march, October months, Notice increase repetition rate of Siberian Anticyclone in the month
of October for two climatic cycle second and third as well as Basra station recorded increase
in minimum temperature rate with increase repetition rate of high semi-orbital in the second
climatic cycle for period (1997-1987) for January as well as in all stations of studying area in
the third climatic cycle for period (2008-1998) for march also in stations of Mosul, Kirkuk,
Basra for two climatic cycle the second and the third for October. And high rate of minimum
temperature with high repetition rate of European Anticyclone in the stations of Kirkuk and
Basra in January for the second climatic cycle period (1997-1987) as well as recorded in
march month in stations of Mosul and Kirkuk, Basra for two climatic cycle the second and
third also in October for the second climatic cycle for stations of studying area.
Background: The oral cavity is considered as a complex ecological niche, its complex microbial community is reflected to it. Streptococcus mutans has been implicated as one of the major etiological factor of dental caries. Tooth surfaces colonized with Streptococcus mutans are at a higher risk for developing caries, while lactobacilli are considered as the secondary invaders, not initiators of the carious lesion. The main purpose of this study was to correlate the dental caries (for primary and permanent teeth) in the upper jaw with the streptococcus mutans and lactobacilli count in the dental plaque and saliva, also to correlate the dental caries (for primary and permanent teeth) in the lower jaw with the streptococcus mutans and lactobaci
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CuO-ZnO-Al2O3 catalyst was prepared in the ratios of 20:30:50 respectively, using the coprecipitation method of Cu, Zn and Al carbonates from their nitrate solutions dissolved in distilled water by adding sodium bicarbonate as precipitant.The catalyst was identified by XRD and quantitatively analysis to determine the percentages of its components using flame atomic absorption technique. Also the surface area was measured by BET method. The activity of this prepared catalyst was examined through the oxidation of ethanol to acetaldehyde which was evaluated by gas chromatography.
Understanding the compatibility between spider silk and conducting materials is essential to advance the use of spider silk in electronic applications. Spider silk is tough, but becomes soft when exposed to water. Here we report a strong affinity of amine-functionalised multi-walled carbon nanotubes for spider silk, with coating assisted by a water and mechanical shear method. The nanotubes adhere uniformly and bond to the silk fibre surface to produce tough, custom-shaped, flexible and electrically conducting fibres after drying and contraction. The conductivity of coated silk fibres is reversibly sensitive to strain and humidity, leading to proof-of-concept sensor and actuator demonstrations.
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RNA Sequencing (RNA-Seq) is the sequencing and analysis of transcriptomes. The main purpose of RNA-Seq analysis is to find out the presence and quantity of RNA in an experimental sample under a specific condition. Essentially, RNA raw sequence data was massive. It can be as big as hundreds of Gigabytes (GB). This massive data always makes the processing time become longer and take several days. A multicore processor can speed up a program by separating the tasks and running the tasks’ errands concurrently. Hence, a multicore processor will be a suitable choice to overcome this problem. Therefore, this study aims to use an Intel multicore processor to improve the RNA-Seq speed and analyze RNA-Seq analysis's performance with a multiproce
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This study aims to enhance the RC5 algorithm to improve encryption and decryption speeds in devices with limited power and memory resources. These resource-constrained applications, which range in size from wearables and smart cards to microscopic sensors, frequently function in settings where traditional cryptographic techniques because of their high computational overhead and memory requirements are impracticable. The Enhanced RC5 (ERC5) algorithm integrates the PKCS#7 padding method to effectively adapt to various data sizes. Empirical investigation reveals significant improvements in encryption speed with ERC5, ranging from 50.90% to 64.18% for audio files and 46.97% to 56.84% for image files, depending on file size. A substanti
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Dust is a frequent contributor to health risks and changes in the climate, one of the most dangerous issues facing people today. Desertification, drought, agricultural practices, and sand and dust storms from neighboring regions bring on this issue. Deep learning (DL) long short-term memory (LSTM) based regression was a proposed solution to increase the forecasting accuracy of dust and monitoring. The proposed system has two parts to detect and monitor the dust; at the first step, the LSTM and dense layers are used to build a system using to detect the dust, while at the second step, the proposed Wireless Sensor Networks (WSN) and Internet of Things (IoT) model is used as a forecasting and monitoring model. The experiment DL system
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