Lead, Nickel, Copper, Cadmium and Zinc concentrations in airborne particulates and Lead in Blood, in Al- Tarmiayh city, north Baghdad-Iraq

The concentrations of lead, nickel, copper, cadmium and zinc in airborne particulates and lead in blood, have been measured in the area of Tarmiya, during a period of one year 2011.The air pollution levels caused by these elements are still in somehow comparatively medium or low. Concerning the Pb concentrations in blood from different groups of individuals, the levels do not exceed the safe limits. And we distinguish the groups of elements and stations by using multidimensional scaling (MDS)

Tracing and Analysis of Manganese, Nickel, Cadmium ,Copper, zinc , Lead And Aluminum Concentration and PH Values In Iraqi Chewing Gums

Evaluation of trace elements in Iraqi chewing gums are unavailable, particularly pollution of toxic elements, materials which change the values of PH in the Oral. Atomic Absorption Spectroscopy (AAS) were successfully employed to determine the concentration of 7 trace elements (essentially toxic and nonessential) and the PH, in thirteen different brands of chewing gum generally consumed in Iraq. Combined wet and dry digestion procedures were applied. Two types of heated graphite tubes were used, coated and uncoated tubes treated with tungsten solution. Result showed that Cu, Al and Zn were at very high levels in almost all brands whereas Mn was found to be high in brands A and O only. Keywords: Trace metals – heavy elements, Chewing gums - AAS-  Baghdad – Iraq

Fixed point theorem in fuzzy metric space for owc maps satisfying integral type inequality

This paper introduces the fixed point in complete fuzzy metric space, and how to find a common fixed point between occasionally weakly compatible mappings

Automatic Speaker Recognition System in Adverse Conditions — Implication of Noise and Reverberation on System Performance

Speaker recognition has been developed and evolved over the past few decades into a supposedly mature technique. Existing methods typically utilize robust features extracted from clean speech. In real-world applications, especially security and forensics related ones, reliability of recognition becomes crucial, meanwhile limited speech samples and adverse acoustic conditions, most notably noise and reverberation, impose further complications. This paper is presented from a study into the behavior of typical speaker recognition systems in adverse retrieval phases. Following a brief review, a speaker recognition system was implemented using the MSR Identity Toolbox by Microsoft. Validation tests were carried out with clean speech and the speech contaminated by noise and/or reverberation of varying degrees. The image source method was adopted to take into account real acoustic conditions in the spaces. Statistical relationships between recognition accuracy and signal to noise ratios or reverberation times have therefore been established. Results show noise and reverberation can, to different extents, degrade the performance of recognition. Both reverberation time and direct to reverberation ratio can affect recognition accuracy. The findings may be used to estimate the accuracy of speaker recognition and further determine the likelihood a particular speaker

Enhancing the Stability Performance of Iraqi National Super Grid System by Using UPFC Devices Based on Genetic Algorithm

The object of this work is to improve the stability of the Iraqi National Super Grid System (INSGS) by installing Unified Power Flow Controller (UPFC) devices in different optimal locations under fault condition and comparing the results with those of without FACTS under the same condition.The optimal location of the FACTS device was specified based on Genetic Algorithm (GA) optimization method, it was utilized to search for optimum FACT parameters setting and location based objective function that depends on the power and voltage as a fitness constraints.MATLAB was used for running both the GA program and Power System Analysis Toolbox (PSAT) as Graphical User Interface, Newton Raphson method also used for solving the load flow of the system and the Trapezoidal method for the non-linear differential equations.The system that has been implemented is INSGS 11-machine, 24-bus, 39 (400kV) overhead transmission lines.The GA program is applied for the Iraqi grid system which is complicated.The results obtained showed that the installation of UPFC devices at the optimal locations of the Iraqi grid gives an improvement in the stability by damping the voltage and rotor angle oscillations after subjected to the three phase fault to ground at different locations and different cases (temporary fault, permanent fault).A comparison has been made between these different cases based on the durations of the tested faults, and with the UPFC devices installed in the system, it can remain stable for longer time than without UPFC during fault condition

Survey and molecular detection of Melissococcus plutonius, the causative agent of European Foulbrood in honeybees in Saudi Arabia

AbstractA large-scale field survey was conducted to screen major Saudi Arabian beekeeping locations for infection by Melissococcus plutonius. M. plutonius is one of the major bacterial pathogens of honeybee broods and is the causative agent of European Foulbrood disease (EFB). Larvae from samples suspected of infection were collected from different apiaries and homogenized in phosphate buffered saline (PBS). Bacteria were isolated on MYPGP agar medium. Two bacterial isolates, ksuMP7 and ksuMP9 (16S rRNA GenBank accession numbers, KX417565 and KX417566, respectively), were subjected to molecular identification using M. plutonius -specific primers, a BLAST sequence analysis revealed that the two isolates were M. plutonius with more than 98% sequence identity. The molecular detection of M. plutonius from honeybee is the first recorded incidence of this pathogen in Saudi Arabia. This study emphasizes the need for official authorities to take immediate steps toward treating and limiting the spread of this disease throughout the country

Neutrophil gelatinase-associated lipocalin (NGAL) circulating levels are related to LDL Myocardial infarction

Background: Low-density lipoprotein receptors (LDL-R) in hepatocytes are degraded by the enzyme Neiutrophophil gielatinase-associated lipocalin (NGAL) A brand-new target for lipid-lowering treatment is Neiutrophophil gielatinase-associated lipocalin (NGAL) inhibition. Three subsets of monocytes, which play a critical role in the pathophysiology of atherosclerosis, are known. Objectives: The aim of this study was to examine whether circulating levels of Neiutrophophil gielatinase-associated lipocalin (NGAL) are associated with LDL liped subsets. Materials and Methods: We included 70 patients with coronary artery disease. Neiutrophophil gielatinase-associated lipocalin (NGAL) levels were measured and LDL liped and 30 control health. Results: Eighty percent of the patients were men, with a mean age between 40 and 70. Patients increese displayed greater Neiutrophophil gielatinase-associated lipocalin (NGAL) -levels compared to the 30 male control group. Neiutrophophil gielatinase-associated lipocalin (NGAL) levels in the blood were associated with CM treatment in patients, whereas NCM had the opposite effect. Patients whose levels of Neiutrophophil gielatinase-associated lipocalin (NGAL) were greater than the median displayed a significantly higher. Conclusions: Endurance training, resistance training, and combined training improve cardiovascular risk factors associated with obesity. These types of training methods also improve cardiovascular risk factors in school obese children. Also, they can be used as effective exercise programs for these people. Therefore, EET, RET, and CET used in this study, especially EET, can be recommended as a non-medical way to improve the incidence of cardiovascular risk factors and obesity-related disorders in obese boys

A multi-weapon detection using ensembled learning

Recently, the level of criminals and terrorists using light weapons (such as knives and firearms) has increased rapidly around the world. Unfortunately, most current surveillance systems are still based mainly on human monitoring and intervention. For that reason, the requirement for a smart system for detecting different weapons becomes crucial in the field of security and computer vision. In this article, a novel technique for detecting various types of weapons has been proposed. This system is based mainly on deep learning techniques, namely, You Only Look Once, version 8 (YOLOv8), to detect a different class of light weapons. Furthermore, this study focuses on detecting two armed human poses based on ensemble learning techniques, which involve combining the outputs of different Yolov8 models to produce an accurate and robust detection system. The proposed system is evaluated on the self-created weapons dataset comprising thousands of images of different classes of weapons. The experiment results of this work show the effectiveness of ensemble learning for detecting various weapons with high accuracy, achieving 97.2% of mean average precision

The Green Bank North Celestial Cap Pulsar Survey. IV: Four New Timing Solutions

We present timing solutions for four pulsars discovered in the Green Bank Northern Celestial Cap (GBNCC) survey. All four pulsars are isolated with spin periods between 0.26$\,$s and 1.84$\,$s. PSR J0038$-$2501 has a 0.26$\,$s period and a period derivative of ${7.6} \times {10}^{-19}\,{\rm s\,s}^{-1}$, which is unusually low for isolated pulsars with similar periods. This low period derivative may be simply an extreme value for an isolated pulsar or it could indicate an unusual evolution path for PSR J0038$-$2501, such as a disrupted recycled pulsar (DRP) from a binary system or an orphaned central compact object (CCO). Correcting the observed spin-down rate for the Shklovskii effect suggests that this pulsar may have an unusually low space velocity, which is consistent with expectations for DRPs. There is no X-ray emission detected from PSR J0038$-$2501 in an archival swift observation, which suggests that it is not a young orphaned CCO. The high dispersion measure of PSR J1949+3426 suggests a distance of 12.3$\,$kpc. This distance indicates that PSR J1949+3426 is among the most distant 7% of Galactic field pulsars, and is one of the most luminous pulsars.Comment: 7 pages, 5 figure