On The Mechanism And Behavior Of Plasma

The charged particles’ action of  and fields have three diverse levels of modeling, Starting with the simplest one to the most complicated. In this paper we consider the generalization of Newtonian force law in geometrical term is to describe charged particles’ (plasma) trajectories on electromagnetic fields in the kinetic or microscopic model. Keyword: Gravitational field, Time–dependent Flow, Integral Curves, Exterior Differential Systems, Kinetic Energy

Sensors data collection framework using mobile identification with secure data sharing model

Sensors are the modules or electronic devices that are used to measure and get environmental events and send the captured data to other devices, usually computer processors allocated on the cloud. One of the most recent challenges is to protect and save the privacy issues of those sensors data on the cloud sharing. In this paper, sensors data collection framework is proposed using mobile identification and proxy re-encryption model for data sharing. The proposed framework includes: identity broker server, sensors managing and monitoring applications, messages queuing sever and data repository server. Finally, the experimental results show that the proposed proxy re-encryption model can work in real time

Role of Laser Produced Silver Nanoparticles in Reversing Antibiotic Resistance in Some MultidrugResistant Pathogenic Bacteria

Silver nanoparticles (Ag NPs) were produced through nanosecond laser in deionized water. These nanoparticles were characterized by UV–VIS spectrometer and transmission electron microscopy. VITEK®2 compact system was used to identify Escherichia coli (ESBL strain) and Staphylococcus aureus (MRSA strain) as multidrug-resistance (MDR) bacteria. The antibacterial activity of Ag NPs, ampicillin (AMP), and their combinations was tested against both bacterial isolates through standard microbiological culturing techniques. Our data show that both of E. coli and S. aureus were highly resistant to AMP. Ag NPs alone reduced growth in both bacterial isolates considerably. Growth declined drastically in both bacteria when AMP was used in combination with Ag NPs. The minimal inhibitory concentration of combined agents for E. coli was 20 µg/ml Ag NPs + 1 mg AMP/ml and for S. aureus was 10 µg/ml Ag NPs + 1 mg AMP/ml. The results show that the Ag NPs have great potentials in enhancing the antimicrobial activities of drugs that used to be ineffective against MDR bacteria. Administering combinations of antibiotic(s) with AgNPs may help in treating patients suffering from infections caused by MDR bacteria. Further in vivo and in vitro investigations are required to evaluate the side effects of these combinations

Compared levels of specific divalent trace elements in hyperlipidemia and hepatitis sera patients

Patients with hepatitis infection can also have hyperlipidemia. Sera of both hepatitis (40) and hyperlipidemia (40) were collected from the central lab of Sulaimaniyah-Kurdistan region/ Iraq. Age, sex, duration of infection, medication used and lipid profile using computerized database program, as characteristics information of patients were done.  The levels of Cr, Cu, Zn, Mn, V and Se were determined in sera of both patients and compared with healthy controlled (n=30), using Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES). Hepatitis samples yielded concentration in ppb of (7.34±0.01) Cr, (171.7±2.51) Cu, (138±3.41) Zn, (1.309±0.99) Mn, (184.7±6.12) V and (218.9±3.14) Se respectively, while hyperlipidemia samples yielded concentration (ppb) of (5.22±0.45) Cr, (197.01±2.34) Cu, (160.3±4.01) Zn, (0.068±1.91) Mn, (247.01±0.65) V and (185.5±3.11) Se respectively. Controlled samples reflects the following concentrations (ppm),  (5.324±1.34) Cr, (131.2±4.34) Cu, (216.6±0.83) Zn, (0.024±1.75) Mn, (235.3±0.18) V and (223.2±3.15) Se  respectively.The aim of the study focused on evaluating metal ions physiological role in the body, and as liver was responsible for synthesizing lipid , thus lipid profiles where suggested to be investigated along the study. Key words: hepatitis, hyperlipidemia, trace elements, ICP-OES techniqu

Efficient systematic turbo polar decoding based on optimized scaling factor and early termination mechanism

In this paper, an efficient early termination (ET) mechanism for systematic turbo-polar code (STPC) based on optimal estimation of scaling factor (SF) is proposed. The gradient of the regression line which best fits the distance between a priori and extrinsic information is used to estimate the SF. The multiplication of the extrinsic information by the proposed SF presents effectiveness in resolving the correlation issue between intrinsic and extrinsic reliability information traded between the two typical parallel concatenated soft-cancellation (SCAN) decoders. It is shown that the SF has improved the conventional STPC by about 0.3 dB with an interleaver length of 64 bits, and about 1 dB over the systematic polar code (SPC) at a bit error rate (BER) of . A new scheme is proposed as a stopping criterion, which is mainly based on the estimated value of SF at the second component decoder and the decoded frozen bits for each decoding iteration. It is shown that the proposed ET results in halving the average number of iterations (ANI) without adding considerable complexity. Moreover, the modified codes present comparable results in terms of BER to the codes that utilize fix number of iterations

Identifying factors influencing the leadership performance of Saudi's healthcare sector

The purpose of this article is to identify the aspects that relate to performance level; including enablers and inhibitors that influence leadership performance in the healthcare sector of the Kingdom of Saudi Arabia (KSA). A grounded research methodology and an action research approach that was ‘issue focused’ were used to gain the perceptions of the participants from the organisational culture as empirical data. The overall trends observed in the collected data emphasize the important role of culture in shaping performance level. In addition, the domination of factors related to the national culture and Islamic values has appeared the greatest factor affecting leaders' decisions; it also forms their relations with subordinates as well as their commitment to the organization. Viewed through this study, the effect of culture aspects on the performance level in this important sector can be understood and new and integrated solutions to overcome potential negative outcomes. Because of the chosen research approach, the research results may lack generalisability. Therefore, researchers are encouraged to test the proposed propositions further. The paper discusses the implications of the study findings for healthcare sector managers in different levels. This paper fulfils an identified need to study how culture can influence workforce practices in healthcare organizations and to what extent can that affect the quality of services delivered to the patients

The Judiciary in Islamic Law, Palestinian Legislation, and Guarantees of Its Independence

The contemplating the constitutional and legal system of democratic countries, they unite on the principle of the independence of the judiciary until it became a constitutional principle related to the protection of human rights, which is a natural effect of the existence of a judiciary that stands on an equal footing with the legislative and executive authorities. The principle of the independence of the judiciary is considered the first principle of the general principles governing the work of the judiciary. The independence of the judiciary leads to its immunity by preventing the executive authority from intruding and interfering in its affairs and its work. The importance of this study is that it will clarify the extent to which the principle of the independence of the judiciary is applied in Islamic law compared to Palestinian legislation and the guarantees of this principle. To achieve the objective of this paper, legal socio-legal research was adopted using the qualitative approach to analyse relevant Islamic law and Palestinian legislative texts. The study concluded that the administration and structure of the judiciary in Islamic law differs from Palestinian legislation in terms of the extent of application of the principle of the independence of the judiciary

Lignocellulosic Biomasses from Agricultural Wastes Improved the Quality and Physicochemical Properties of Frying Oils

In this work, the effects of using natural lignocellulosic-based adsorbents from sugarcane bagasse (SC), cornstalk piths (CP), and corn cob (CC) on the physicochemical properties and quality of fried oils were studied. The properties of lignocellulosic biomasses were examined using X-ray diffraction (XRD), scanning electron microscope (SEM), and Fourier transform infrared spectroscopy (FTIR). Moreover, the changes in the physicochemical properties of fresh, fried oils (for 4, 8, 12, 16 and 20 h) and adsorbents-treated oils were examined. The XRD results revealed that SC and CP biomasses have more amorphous regions than CC biomass, which had the highest crystallinity percentage. The results also showed that lignocellulosic biomasses enhanced the quality of the used oils. SC was the most effective biomass to enhance the properties of the used sunflower oil. For instance, the acid value of oil samples fried for 20 h reduced from 0.63 ± 0.02 to 0.51 ± 0.02 mg KOH/g oil after SC biomass treatment. For the peroxide value, the SC biomass treatment reduced it from 9.45 ± 0.56 (fried oil for 20 h) to 6.91 ± 0.12 meq O2/kg. Similarly, SC biomass adsorbent reduced the p-Anisidine Value (p-AV) of the used oil (20 h) from 98.45 ± 6.31 to 77.92 ± 3.65. Moreover, SC adsorbents slightly improved the lightness of the used oils (20 h). In conclusion, natural lignocellulosic biomasses, particularly SC, could be utilized as natural adsorbents to improve the oil quality. The results obtained from this study could help in developing sustainable methods to regenerate used oils using natural and cheap adsorbents

Novel mechanism to improve Hadith classifier performance

Abstract— Muslims believe that the Sunnah of the Prophet Muhammad (SAAW) is the second of the two revealed fundamental sources of Islam, after the Holy Qur'an. Hadith provides a Gold Standard "ground truth" for Artificial Intelligent (AI) knowledge extraction and knowledge representation experiments. In the present study, the extracted Islamic knowledge represented the focal point of the research; three famous books in Hadith science framed the corpus of the study. This study attempted to explore new approach to classify Hadith using a combination of the expert system and data mining techniques to classify Hadith according to its validity degree (Sahih, Hasan, Da'eef and Maudo'), the proposed Hadith Classifier model was built through learning process, Decision Tree (DT) classifier modeling had been represented by the tree structure model, and the attributes of the instances originally were obtained from the source books. Whilst some attributes were indicated as null values, or missing values. A novel mechanism called missing data detector (MDD) was employed to handle these missing data. This mechanism simulated the Isnad verification methods in Hadith science. The results of the research were compared with the resource books, concurrently with the point of view of the experts in the Hadith science. The findings of the research showed that the performance of DT Hadith classifier had significant effect with MDD, the CCR was sharply increased from (50.1502 %) to (97.597%) Furthermore, the favorable obtained results indicated that the DT Modeling is a viable approach to classify Hadith due to the ease of rules induction and results interpretation