Al-Mustansiriyah Journal of Science

A comparative study between Short Life Cut Off Low (SL-COL)extended for one day, and Long Life Cut Off Low (LL-COL)extended for ten daysassociated with successive rain storms over Iraq on 21to 30 April, 2018. The study tracking the evolution stages of both COLs in different pressure surfaces at troposphere layer,andfound that there are many dynamical processes effect on prolongthe life of COL. These processes exchanged their roles between different pressure levels. In both cases the high potential vorticity (PV) anomaly at 315ᵒKisentropic surface is responsible on the emergence COLs, and the convection processesat lower troposphere and latent heat at upper troposphere are responsible on COLs dissipation.The main reasons of long-life COLcan be summaries asa high-pressure system below COL at the surface which preventingthe convection process, the formation of Omega block that promotingthe COL system and preventing its dissipationrapidly in spite of the intenseconvection processes due to tropical moist system at the surface

Classification of imbalanced data is an important issue. Many algorithms have been developed for classification, such as Back Propagation (BP) neural networks, decision tree, Bayesian networks etc., and have been used repeatedly in many fields. These algorithms speak of the problem of imbalanced data, where there are situations that belong to more classes than others. Imbalanced data result in poor performance and bias to a class without other classes. In this paper, we proposed three techniques based on the Over-Sampling (O.S.) technique for processing imbalanced dataset and redistributing it and converting it into balanced dataset. These techniques are (Improved Synthetic Minority Over-Sampling Technique (Improved SMOTE), Borderline-SMOTE + Imbalanced Ratio(IR), Adaptive Synthetic Sampling (ADASYN) +IR) Algorithm, where the work these techniques are generate the synthetic samples for the minority class to achieve balance between minority and majority classes and then calculate the IR between classes of minority and majority. Experimental results show ImprovedSMOTE algorithm outperform the Borderline-SMOTE + IR and ADASYN + IR algorithms because it achieves a high balance between minority and majority classes.

In a previous couple of decades, serious heatwaves were illustrative of the climate conditions in different pieces of the world. They had unmistakably negative effects on people, plants, creatures, and distinctive monetary segments. Especially in urban areas, where most people are living, their prosperity, productivity and wellbeing were influenced, which even caused a generally high death rate. This is the reason an enormous intrigue still exists to analyze heat waves in the past by utilization of measurable strategies. As an examination on heatwaves isn't accessible for the domain of Baghdad city up to now, a review examination was directed. Its primary points were (1) to decide the recurrence of heatwave scenes for this nation and (2) to analyze their spatiotemporal dissemination, term, and force. Based on Baghdad city, from the Iraqi Meteorological Organization and Seismology and Ministry of Health day by day estimations of most extreme air temperature (Tmax) in summer months (June to August) were utilized to decide heatwave scenes as indicated by the definition prescribed by the IPCC. For all stations, total and dependable Tmax time arrangements were accessible for the period 2004–2018 concerning a few stations. We tried the 95th thresholds percentile. The extra wave impacts were assessed utilizing a one-stage model to guarantee that their belongings were evaluated subsequent to expelling the general impact of temperature

In this paper, we present the Generalized Gamma-Exponentiated Weibull distribution as a special caseof new generated Generalized Gamma -G family of probability distribution. The cumulative distribution, probability density, reliability and hazard rate functions are introduced. Furthermore, the most vital statistical properties,for instance, the r-th moment, characteristic function, quantilefunction, simulated data, Shannon and relative entropies besidesthe stress-strength model are obtained

In this paper, the extending property of modules is generalized by using weakly supplement submodules. We call a module Mis weakly supplement extending, if each submodule of Mis essential in a weakly supplement submoduleof M. Many characterization of weakly supplement extending module are obtained, we showthat Misweakly supplement extending if and only if each closed submoduleis weakly supplement submoduleof M. Moreover, we study the relation of weakly supplement extending module and among other known classes of module such as liftingmodule, weakly supplementedmodule, supplement extending module and others. Also, we study conditions under it a direct sum of weakly supplement extending module is weakly supplement extending.

The energy losses of ions moving in an electron gas can be studied through the stopping power of the medium. A large number of calculations of the stopping power of ions and electrons in plasmas havebeen carried out using the random phase approximation (RPA) in the dielectric formalism, for low and high energies. Then we calculatedthe partial stopping power effective charge (PSPEC) from the energy loss ofanincident proton, Ar-ion, and He-ion in target plasma. The Brandt-Kitagawa (BK) model is used to describe the projectile charge fraction (q) and calculate the stopping power and PSPEC, which depends on temperature and electron density ρ(k)of the plasma. This is a topic of relevance to understandingthe beam-target interaction in the contexts of particle driven fusion. The presented study is formulated in terms of classical dielectric functions. The programming language Fortran -90 was used for a required calculation. In the present work, three systems of plasma (Z-pinch, Tokamak, ICF) for different temperaturesand densities were covered. Additionally, acomparison has been done withtheprevious work of plasma.

Zinc oxide (ZnO) nanorods were fabricated using Cellulose Nano Rods (CNR) as a new stabilizer material. Synthesized of ZnO-CNR nanocomposites, with a molar ratio of ZnO to CNR (1/2g) were prepared in distilled water. The nanocomposites were distinguished using X-ray diffraction (XRD), ultraviolet-visible (UV-Vis), and Field Emission scanning electron microscope (FESEM) techniques. XRD data were showed, the ZnO nanorods with a hexagonal wurtzite structure such readily scattered insideCNR with an average size 20-40nm. (FESEM) images showed the homogenous morphology of Zinc oxide rods. The optimum ratio of ZnO-CNR was selected to be the tiny size of the ZnO nanorods that yielded a good stabilizer material and antibacterial activity. The ultraviolet-visible (UV-Vis) absorption spectrum of the ZnO-CNR nanocomposites appeared absorption peaks in the ultraviolet region at (350-360 nm) wavelength attributes with the energy gap of (3.41eV) of ZnO-CNR. The antibacterial activities of samples have been investigated against the Gram-positive (pneumonia) and gram-negative (pseudomonas). The maximum antibacterial activities against the Gram-positive (pneumonia) of ZnO nanorods and of ZnO-cellulose nanorods are 16mm and22mm respectively. The optimum anti-bacterial activities versus the Gram-negative (pseudomonas) of zinc oxide nanorods and zinc oxide-cellulose nanorods are 17mm and 19mm respectively. The optimum anti-bacterial activities versus the Gram-negative (pseudomonas) of zinc oxide nanosheet and of zinc oxide-cellulose nanorods are 17mm and 22mm