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Objective: To compare the safety and efficacy of anti-leukotrienes and inhaled glucocorticoids as monotherapy in people with asthma. Design: Systematic review of randomised controlled trials comparing anti-leukotrienes with inhaled glucocorticoids for 28 days or more in children and adults. Main outcome measure: Rate of exacerbations that required treatment with systemic glucocorticoids. Results: 13 trials (12 in adults, one in children) met the inclusion criteria; all were in people with mild and moderate asthma. Leukotriene receptor antagonists were compared with inhaled glucocorticoids at a daily dose equivalent to 400–450 μg beclometasone dipropionate. Patients treated with leukotriene receptor antagonists were 60% more likely to suffer an exacerbation requiring systemic glucocorticoids (relative risk 1.6, 95% confidence interval 1.2 to 2.2; number needed to treat 27, 13 to 81). A 130 ml greater improvement (80 ml to 170 ml) in forced expiratory volume in one second and a 19 l/min greater increase (14 l to 24 l) in morning peak expiratory flow rate were noted in favour of inhaled glucocorticoids. Differences in favour of inhaled glucocorticoids were also observed for nocturnal awakenings, use of rescue β2 agonists, and days without symptoms. Risk of side effects was no different between groups, but leukotriene receptor antagonists were associated a 2.5-fold increase risk of withdrawals due to poor asthma control (relative risk 2.5, 1.8 to 3.5). Conclusions: Inhaled glucocorticoids doses equivalent to 400 μg/day beclometasone are more effective than leukotriene receptor antagonists in the treatment of adults with mild or moderate asthma. There is insufficient evidence to conclude on the efficacy of anti-leukotrienes in children. What is already known on this topic In 2000 a Cochrane systematic review tentatively concluded that control of asthma was better in patients treated with inhaled glucocorticoids as single agents than with anti-leukotrienes The 2002 Global Initiative for Asthma guidelines still classify the role of anti-leukotrienes as “under investigation” What this study adds Anti-leukotrienes as single agent are less effective than low doses of inhaled glucocorticoids for patients with mild and moderate persistent asthma

The sufficient utilization of the mega data acquired from operative power units is a promising way leading to high efficient, clean and safe operation of power plant. Hereinto, data filtering is a critical link to the data-driven dynamic model identification aiming at optimizing the process control. The machine learning is an advantageous approach for filtering usable data from mega databases for identification due to its effective statistical learning strategy to the field data with noises, disturbances and coupling quantities. Therefore, a data filtering method of combining Gaussian Naive Bayesian classifier and prediction error method (Gaussian NB-PEM) is proposed in this paper. Firstly, variables associated with identification model are selected by analyzing the characteristics of the process. Secondly, the GaussianNB classifier is used for coarse data filtering by calculating the priori probability of each attribute from training sample set and the probability with all possible values of the known categories for testing sample set. Thirdly, the prediction error method is used for further data filtering based on model fitting. By using the filtered closed-loop data, the dynamic characteristics of the superheated steam temperature is modeled and verified by closed-loop control simulation, showing the validity of the Gaussian NB-PEM data filtering method.

Essentially, the difficulty in dehydration technology of lignite depends on the energy state of water in lignite. The fundamental understanding of the water occurrence and energy state in lignite as well as its physical-chemical interaction with coal structure is helpful to the upgrading of lignite. In this paper, the water occurrence in lignite and the changes of oxygen-containing functional groups, pore structure, and water holding capacities at different drying temperatures were researched by DSC, NMR, FTIR and BET, respectively. The binding energies (calculated by DFT using model compounds) of different forms of water in lignite were also summarized. The relationships between energy state and occurrence mode of water in lignite as well as dehydration difficulty and structural changes during dewatering were clarified. The Results show that the energy state of water in lignite divided into three levels. The water in free and pore is in the lowest energy level. Its binding force with coal is pretty weak. So this type of water is easily vaporized and re-adsorbed. It is the main in removed moisture. Generally, the temperature removed free water mainly focused on below 100 °C, and the dehydration temperature of pore water mainly focused on 100–200 °C. The water bonded in hydrogen-bond and capillary confinement is in the middle energy level. The dehydration temperature mainly focused on 200–400 °C. The oxygen-containing functional groups of samples change a little and the re-adsorbed property improves a little after dehydrated. The water mainly produced by chemical reaction above 400 °C is in the highest energy level. Though this type of water does not belong to the natural occurrence of water in lignite, the re-adsorbed property improves much, and it plays the key role in stabilizing the dehydrated lignite interface.

The paper presents a project of a prototype solution of a device for making inseparable crimped joints consisting in forming the material of two elements to be joined to each other with the use of punches. The work contains the assessment and analysis of the joints made in the stand with the use of various forming tools. Furthermore, the paper presents the analysis of the characteristic features of the new joints, as well as dependences in strength tests. The elements joined on the machine had been made of 5754 aluminium. This material and the presented joint are used in the construction of heat exchangers, such as water, oil coolers or condensers in the automotive or aircraft branch.

In this paper we present a parametric method for the identification of a horizontal positioning system for a billets unloading machine. The input-output models are obtained on the experimental models and on the priori information of the process. The obtained models are represented as second-order underdamped systems. The assessment of the models is made via simulation and a best fit model follows. In order to improve the current process performances, new automatic control structures for the positioning process can be derived using the determined model

Machining of highly abrasive carbon fibre reinforced polymer (CFRP) in the aerospace industry requires processes with excellent machining quality, sufficient tool lifetime and short cycle times. To reach these goals a detailed understanding of the physics of cutting and chip formation based on the tool geometry is necessary. This paper presents a fundamental study in milling of unidirectional CFRP focussing on variable process parameters, tool geometries and fibre orientations. A single-edged tool with cemented carbide inserts of variable macro geometry is utilised. The experiments are evaluated by 3D microscopy of the milled edges, detailed tool wear analyses and interpretation of cutting forces. The key conclusions from the experimental results are drawn to reach a better machining quality and increased tool lifetime. The delamination of top layer fibres from the ply below up to a certain distance from the milled edge, which depends on the forces at fibre cutting angle ϕ = 90°, has been identified as main quality issue. Force and tool wear models based on the measurement data are presented.

The classification of color image that contain skin pixel is a challenging process. It is challenging due to certain factor such as brightness, background similar to human skin represent the obstacles thereof. The basic approach of skin detection is color based classification. The human skin image is the composition of RGB color. The data values of skin is calculated by randomly sampling RGB color values of different face images which have different age, race, genders sets. However, its performance has not really been high because of the high overlapped degree between “skin” and “non-skin” pixels. This paper describes the linear norm fuzzy based twin support vector machine (LN-FTSVM)) approach for discriminate skin and non-skin data values of skin dataset and to enhance the skin recognition performance. The concept of fuzzy is resolved the unclassified and overlapped data region problems. If no decision function is positive for a data set, this data set is classified into a class with the large membership value. By computational experiments shows that Experiments result shows that the accuracy is improved by linear norm fuzzy based TSVM (LN-FTSVM)) over the conventional methods.

A medical genetics clinic is a unique and complex environment in which care requires a combination of medical knowledge, social intelligence, and emotional sensitivity. We offer a few pearls from our medical genetics clinic that we hope will help the pediatric or general dermatologist when caring for patients with known or suspected genetic disorders. This paper addresses five main topics: When is it more than just atopic dermatitis? How should the clinician approach blistering in the newborn period? What is mosaicism? When is genetic testing useful? Where can clinician, patients, and families turn for available resources?

Software frameworks are difficult for plugin developers to use, even when they are well designed and documented. Some of these difficulties stem from the many constraints that frameworks impose on plugin code. These constraints might restrict operations from being called on certain objects, or they might restrict how long an object is available. Additionally, the constraints are relative to the current context of the plugin, and they can involve multiple, interacting framework objects. This paper proposes a lightweight specification system and analysis to check plugins from a semantic perspective, rather than a purely structural view.

Delivering reliable service requires satisfactory operation of numerous line components, spanning significant geographical areas and subject to environmental, electrical, and mechanical stresses, plus normal aging. Conventional reliability practices use periodic maintenance to minimize failures, coupled with rapid restoration procedures when outages occur. Reliability statistics have shown little change in decades. Newer technologies can shorten outages, by automatically rerouting service to customers on healthy feeder segments, but they: require redundant paths for power flow; react only after outages occur; and often require communications with pole-mounted switches. Over the past decade, Texas A&M University has demonstrated that electrical waveforms, available via conventional substation-based CTs and PTs, contain evidence of failures, incipient failures, and improper operation of feeder equipment, often well before these conditions escalate and cause outages. This provides the basis for conditioned-based maintenance and outage avoidance. This paper provides examples, from operating feeders, demonstrating some of these advances.