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The development of the industrial structure affects the development of the regional economy. From the implementation of the rise of central China to the present, while the industrial structure of Hubei Province is developing, there are also unreasonable phenomena. This article analyzes the industrial structure of Hubei Province from 2004 to 2018.It first analyzes the current situation of the industrial structure of Hubei Province, the current situation of the industrial structure, the existing problems and reasons, and finally proposes the path of industrial structure optimization in Hubei Province based on the analysis results.

Background: Trichotillomania (TTM) is a common cause of childhood alopecia. It’s a traumatic alopecia and is defined as the irresistible urge to pull out the hair, accompanied by a sense of relief after the hair has been plucked. The condition maybe episodic and the chronic type is difficult to treat. There seem to be an increase in the prevalence of the condition probably due to the changing life style into a more stressful one. Objective: To do full evaluation of this disease and description of hair loss patterns. Patients and methods: In this descriptive study, we collected patients with trichotillomania who had attended department of dermatology, college of medicine, university of Baghdad, Baghdad teaching hospital during the period from 2011 through 2019 where 114 cases of TTM were seen. The diagnosis was established on clinical basis after exclusion of other dermatological diseases and medical problems.Full history was taken from each patient including demographic data, presence of stressful life event as a triggering factor. Psycholgical assessment was carried out for each patient by experienced dermatologist as psychiatric referral was refused by all patients and their families.Full description of patterns of hair loss was carried out after exclusion of other causes of hair loss especially alopecia areata. Results: A total of 114 patients diagnosed with TTM were enrolled in this study,88 (77.19%) patients were females and 26 (22.8%) males with female to male ratio: 3.38:1 . Age of patients ranged from 6 – 65 years with a median age of 16 years with the commonest age range between 10-19 years in 64(56.14%) patients.While the duration of the condition ranged from 3 months to 4 years. Family history was positive in 6 (5.3%) patients, all of them were first degree relatives. Psychological evaluation showed obsessive compulsive neurosis in all patients and all patients…

Nowadays major airports often have a large number of passengers and vehicles stranded, resulting in inefficient airport operations. In order to solve this problem, this article aims at the decision-making problems that airport taxi drivers face after sending passengers to the airport, and the problem of setting up the boarding point of the airport by analyzing the influencing mechanism of factors related to taxi driver decisions, and considering the changing rules of airport passengers and the benefits of taxi drivers, we have established Driver’s choice decision model based on time periods and Multi-objective programming model based on queuing theory. The model established in this paper can greatly alleviate the airport’s load-bearing pressure, improve the airport’s overall boarding efficiency under the condition that the taxi driver’s income is balanced, and provide a theoretical basis for the systematization of airport taxi queuing.

There are many kinds of training in institutions. But one of them the latest and most eminent train pattern intended to appraise efficacy operating workforce teaching be Kirkpatrick model. , the efficacy of the worker’s teaching path investigated Islamic banking. The feedback form composed of five constituents that take in: acquisition, the reaction of attitude, consequences moreover the novelty within the position of confounding factors are dispensed. It is showed in an investigation that some elements are such as (reaction, actions as well as creations) are having momentous end products going on the tradition efficiency on the way to Kirkpatrick model. As well as two factors (education as well as product for path) are no more a trivial consequence.

Objective: to probe the current situation of the online drug retail market in China, so as to provide reference for the future development direction of the market. Method: through big data, to establish PEST model and analysis the current situation of the online drug retail market in China from the four dimensions of politics, economic, society and technology. Results and Conclusion: at present, the policy environment of China’s online drug retail market is good, the number of pharmaceutical e-commerce enterprises will continue to increase and the scale of market size will grow. Although there are still problems such as insufficient purchasing power of consumers, uneven regional development, imperfect payment method and distribution system and so on, with the continuous promotion of “Internet Plus” strategy and benign competition in the market, China’s online drug retail market will develop rapidly. With the promotion of “Internet Plus” strategy in China, relying on network technology, drug market is closely liked to e-commerce activities, and the online drug retail market has become an important form of drug sales. By collecting and analyzing big data, establishing PEST model and probing the current situation of China’s online drug retail market from four dimensions, this paper provide the direction for the future of the online drug retail market in China.

The present paper concerns a theoretical study of heat transfer of the laminar two dimensional flows of various nanofluids taking into account the dissipation due to viscous term past a 2-D flat plate had a different temperatures. The steady incompressible flow equations were used and transformed to a nonlinear Ordinary Differential Equation (ODE). These equations were solved numerically using implicit finite difference method. Three types of nanoparticles in the base flow of water were considered. The symbolic software Mathematica was used in the present study. Different types of nanoparticles, different values of, nanoparticle volume fraction, Eckart and Prandtl number were tested and analyzed at different wall temperature. The effect of these parameters on the flow behaviour, the local skin friction coefficient, Nusselt number, the velocity and the temperature profiles were presented and investigated. It is concluded that these parameters affect the fluid flow behaviour and heat transfer parameters especially nanoparticle concentration. The presence of nanoparticles showed an enhancement in the heat transfer rate moreover its type has a significant effect on heat transfer enhancement.

Electroencephalogram or EEG is a trace of Brain action from different locales of the cerebrum. It is the electrical movement and activity determined by putting the electrode terminals on the scalp. Artifacts are unnecessary noise signals in an EEG record. These noise in recording EEG sham a major mortification for EEG interpretation and disposal. Categorization of artifacts depends on source of its creation similar to Physiological artifacts along with Exterior artifacts. Recognition of artifacts, identification of artifacts as well as eradication of artifacts is a significant procedure to diminish the possibility of false impression of EEG not only for clinical but also for non-clinical fields. The majority of recording convention. There are various strategies for artifact removal which incorporates manual and automatic techniques. Morphology and Electrical distinctiveness of artifacts can show the way to fake elucidation that is intolerable in support of clinical as well as non clinical utilization. Thus artifacts in EEG signals must be removed or minimized before further interpretation. The presented paper describes a review on detection, classification and removal/ minimization of the recorded EEG signal artifacts.

This paper solved the problem of how to manage the distribution of airport taxis and balance the revenue of long- and short-haul passenger taxis. In this research, we established a multi-objective programming model, which was solved using genetic algorithms to obtain a reasonable distribution scheme in airport with the highest riding efficiency: set up a pick-up location in the middle of the pick-up area, requiring all cars to leave uniformly when fully loaded, and release an average of 78 taxis per batch in every single boarding location. In addition, with the queuing theory we set the basic parameters of the road. Taking the income balance difference as the objective function, we used the VISSIM software to simulate the simulation. Then the short-term “priority” arrangement plan was: Calculate the ratio of the travel time of the short-distance taxi to the distance from the airport to the city center. If the ratio is less than 0.0659, the taxis that meet the conditions are allowed to be given priority after return. The results have some guidance and strong practical significance.

This paper describes the statistical analysis of EEG signals. EEG examination is carried out and compared between controlled healthy and Mild cognitive impairment (MCI) patients which may further develop dementia or Alzheimer disease. The statistical techniques provide the comparative analysis of EEG signal. The correct evaluation of EEG provides the extraction of valuable information which is important clinically. Also, extracting significant features from EEG is an important task for classification between various patients. The analysis of EEG data provides correct frequency rhythms. The relative Power spectral density values by Auto Regressive-Burg process cleared that; associated with the control group, the relative PSD is improved in the theta rhythmic range while expressively reduced in the alpha-2 rhythmic range.

Sodium polystyrene sulfonate (Kayexalate) or its analog calcium polystyrene sulfonate (Kalimate) has long been used to treat hyperkalemia in patients with chronic kidney disease (CKD). Although the side effect was rare, there were many case reports in the literature. Its etiology remains unclear. Lillemoe et al., on five uremic patients who developed catastrophic colonic necrosis that was temporally associated with the use of Kayexalate in sorbitol, contributed to death in four of their patients. They further provided experimental evidence implicating sorbitol as the agent responsible for colonic necrosis in a rat model. In contrast to the results of aforementioned animal study, Ayoub et al., published another experimental study in rats, they demonstrated that sodium polystyrene sulfonate (SPS), not sorbitol, was the main culprit for colonic necrosis. Recently, we encountered three patients who had hyperkalemia and were on Kalimate in water. They underwent colonic and gastric biopsy because of developing gastrointestinal symptoms. Kalimate crystals were found in all biopsy specimen, admixed with inflammatory exudate, or standing along on the mucosa surface, without provoking inflammatory reaction. We reviewed the photographs in the published case reports, they were similar to ours. Therefore, we felt that those crystals were bystanders, not the culprits. We fell that SPS ion-exchange resins, if given in water, appears to be clinically effective and reasonably safe to treat hyperkalemia in patients with CKD.