6 research outputs found
Analytical and numerical solution of differential equations with generalized fuzzy derivative
No full textThe aim of this work is to present a novel approach based on the fuzzy neural network for finding the numerical solution of the first order fuzzy differential equations under generalized H-derivation .The differentiability concept that used in this paper is the generalized differentiability since a first order fuzzy differential equation under this differentiability can have two solutions .The fuzzy trial solution of the fuzzy initial value problem is written as a sum of two parts. The first part satisfies the fuzzy condition, it contains no fuzzy adjustable parameters. The second part involves fuzzy feed-forward neural networks containing fuzzy adjustable parameters. This method, in comparison with existing numerical methods and the analytical solutions, shows that the use of fuzzy neural networks provides solutions with good generalization and high accuracy.
INFLUENCE THE CHANNEL PATH ON HYDRO-THERMAL PERFORMANCE IN SERPENTINE MINI- CHANNEL HEAT SINK
No full textThe current work aims to inspect the influence of formation flow on hydrothermal performance and the uniformity of base temperature in the serpentine mini channel heat sink. The study was conducted by changing the flow formation with the straight channel model [A] and the wavy channel model [B] and by changing the place of inlet and outlet by putting the entrance at the heat sink center and using water as the working fluid. To obtain the numerical results, a 3D (ANSYS Fluent program) is used. A comparison between the numerical findings in the current work and experimental results from the literature review is carried out. The comparison shows moral agreement between the numerical and experimental findings. Moreover, the outcomes display that flow configuration has a great influence on the distribution of temperature and pressure drop. Although the model with straight channels enhances the temperature uniformity and pressure drop. Additionally, the overall performance factor (OPF) for all new models under study is better than traditional model. The average OPF for model [A] is (1.43) and for model [B] is (1.26). In addition, model [A] is better as compared with model [B] by 11.89% due to the efficient OPF and the uniformity of temperature in the base
TEMPERATURE DISTRIBUTION WITHIN THE RISING PIPE IN FLAT PLATE SOLAR COLLECTOR
No full textIn the present study, the effect of increasing absorption area by using two different cross-section shapes of rising pipe namely semi-circle cross-section (model -A-) and elliptic cross-section (model -B-) on the temperature distribution of operating liquid within rising pipe of the FPSC is studied numerically and experimentally. Experimental tests are conducted under weather Baghdad – Iraq, while the numerical results are obtained by using Ansys Fluent CFD. The difference between the experimental findings and numerical findings for the average temperature of the water in the tank and the temperature of the operating liquid at exit rising pipe is 8.12 % and 8.36 % respectively. The results have shown that the temperature distribution for all new models higher than the traditional model. Furthermore, model -B- has higher other models under study. Hence, the best model according to the current study is model -B- increase by (2.4%), (2.2%) and (2.5%) regarding the temperature of the operating liquid at the inlet, center, and outlet respectively compared to the traditional mode
Spatial study of causes and effects of the sandstorms using meteorological data and GIS: The case of Nasiriyah city, Iraq
No full textThe reoccurrence of sandstorms in Nasiriyah city (Southern Iraq) throughout the Summer season is a very important phenomenon and distinctive case that comes from the nearby regions. These storms restrict the financial activities of the city with expanded municipal effort as well as other well-being and environmental problems, and then bring a huge risk to the local residents. This paper uses Geographic Information System (GIS) and Remote Sensing Imagery to dimensionally discover the reasons causing sandstorms, understand the changes within certain periods of time, and then measure the sand-plume coverage during storms. This work has also made an attempt to get the correlation between meteorological records and spatial outputs to predict the direction and coverage range of the predicted future sandstorms which could help to take protective and preventive measures for the sake of the human being. The periods between 1972 and 2018 have been adopted to study the phenomena by using the information archive of the Nasiriyah Meteorological Center together with NASA\u27s open-source climate data and Landsat satellite imagery
Cannabinoids for the control of experimental multiple sclerosis
No full textPhDThere have been numerous studies reporting that cannabinoids, both exogenous
and endogenous, have a potential beneficial function during incidences of
neurological damage. Using gene knockout mice and cannabinoid-selective agents,
this study demonstrates the diverse actions of cannabinoids with a particular focus
on experimental autoimmune encephalomyelitis, an animal model of multiple
sclerosis. The results presented here report on the action of stimulators of
cannabinoid receptors in the nervous system (CNS) on; immune function, as a
mechanism of suppressing autoimmune attack of the central nervous system, as
agents to suppress neurodegenerative events leading to disease progression and as
agents that can control signs of disease that occur as the consequences of
autoimmune neurodegeneration such as spasticity. Tetrahydrocannabinol the
psychoactive component in cannabis and the CB1 cannabinoid receptor appears to
be central to many of the therapeutic actions of cannabis but also to the side-effect
potential of cannabinoid drugs. This study reports on methods to avoid
psychoactive side-effects of conventional brain-penetrant CB1 receptor agonists
whilst exploiting the therapeutic potential of the cannabinoid system in order to
control spasticity. This was achieved by targeting mechanisms of endocannabinoid
degradation, particularly using fatty acid amide hydrolase inhibitors. Furthermore,
this study also reports the development of novel cannabinoid compounds that are
excluded from the brain and inhibit spasticity and also demonstrates the
mechanism of exclusion of CNS-excluded cannabinoid CB1 receptor agonists. This
study provides further evidence for the efficacy of cannabinoid compounds during
an ongoing CNS disease and also their efficacy for treating the consequences of
CNS autoimmune disease, which hopefully, will give additional impetus for further
clinical investigations of cannabinoid agents in not only multiple sclerosis but also
other neurodegenerative diseases of the CNS
Subcutaneous lateral brow lift (“Z-lift”)
No full textSurgical eyebrow lift has been described by using many different open and endoscopic methods. Difficult techniques and only short time benefits oft lead to patients’ complaints. We present a safe and simple temporal Z-incision technique for eyebrow lift in 37 patients. Besides simplicity and safety, our technique shows long lasting aesthetic results with hidden scars and a high rate of patient satisfaction
