Geological Observatory of Coldigioco

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    A review on TIG welding for optimizing process parameters on dissimilar joints

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    ABSTRACT Tungsten Inert Gas Welding (TIG) is relatively high strength welding technique. This technique are mostly used in fabrication and other industries to join the either similar or dissimilar materials. In particular, it can be used to join high-quality strength of metal and alloys.In this paper we discuss abouttheTungsten Inert Gas welding of joining heat treatableof stainless steel and mild steel.These welded joints have higher tensile strength to weight ratio and finer micro structure. Tungsten Inert Gas Weldingofdissimilar material such as stainless steel and mild steel have the potential to hold good mechanical and metallurgical properties

    Grover.fm

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    Dyslipidemia has been recognized as an important risk-factor for the development of cardiovascular disease. The current, available therapies of dyslipidemia, their effectiveness, costs, cost-effectiveness and healthcare implications are discussed. At the present time, the lipid-lowering therapies are dominated by statins. Despite a variety of assumptions regarding modeling cardiovascular disease risks and costs, statin therapy is generally cost-effective for secondary prevention and for primary prevention in individuals with additional risk-factors. The costs of drug therapy and the absolute risk of developing future cardiovasular events are the dominant factors determining the cost-effectiveness. When developing clinical guidelines, the cost-effectiveness and proportion of the population to be treated must be considered as well as the total population costs of treatment. Expert Rev. Pharmacoeconomics Outcomes Res. 3(3), 273-281 (2003

    Strategy Research on Bidding of Construction Project Based on Game Theory

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    Abstract-This article describes the use of Bayesian Nash equilibrium in bidding of construction project, to help the bidders make a best strategy. This article also established the mathematical model of gain function and solved, analyzed how to make the right decisions for bidders. Laws and regulations of construction project bidding had become perfect day by day. More and more bidders have joined in the bidding activities, and competition becomes increasingly fierce. With the development of infrastructure in China, the game theory will be applied in the bidding increasingly. Through analysis we can see the bidder must improve the management level, and create or use advanced construction technology and other measures to further reduce costs and improve construction productivity

    Microsoft Word - Doc6-5.doc

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    Maize (Zea mays L.) yield and aflatoxin accumulation responses to exogenous glycinebetaine application

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    Abstract Exogenously applied glycinebetaine (GB) accumulates at high levels in maize (Zea mays L.). Under water deficit and high temperature conditions GB application produces yield benefits. These sub-optimum conditions often result in high levels of aflatoxin accumulation which reduces grain quality. A 3-year (2008, 2009 and 2010) field experiment was conducted to determine the effects of GB on maize yield and aflatoxin accumulation. Weekly and alternate weekly GB application increased plant biomass by 10 and 13%, respectively. Net photosynthesis increased by 6% with GB application; however, stomatal conductance, transpiration rate and electron transport rate were not significantly affected. Grain yield increased by 6 and 13% with GB applied alternate weekly and weekly, respectively, over control plots averaged over years. GB application resulted in a trend of reduced aflatoxin accumulation in inoculated ears compared with non-inoculated controls in 2009 and 2010; however, inherent field and sampling variation did not allow us to conclude statistically any advantage attributable to GB application. We can conclude that GB did not significantly reduce aflatoxin production in the inoculated treatments

    Excitons in self-assembled quantum ring-like structures

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    Abstract A remarkable morphological change of self-assembled InAs quantum dots takes place during growth if a pause is introduced after overgrowing the dots with a few nm of GaAs. Atomic force microscopy indicates that the shape of the dots changes lens-like to ring-like. We report here the results of capacitance and interband transmission experiments on such ring-like structures embedded in a GaAs matrix. In particular, we compare the electronic properties of conventional dots with those of the rings. Significant changes are found which qualitatively support a quantum ring model. Self-assembly offers an attractive route for nano-structuring semiconductor materials. In particular, the Stranski-Krastanow growth mode can be used to produce InAs quantum dots in GaAs. The dots are typically lens-shape

    Rethinking Construction Curriculum: Towards a Standard Soft Skills Taxonomy

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    The construction industry demands people who are equipped with a high level of soft skills to increase the efficiency of work, processes, and technology. Existing content, definition, interpretations and approaches for soft skills used among construction stakeholders are not clear. This challenge contributes to a soft skills gap among construction graduates and hinders them from possessing the expected minimum soft skills level. The purpose of this paper is to propose a novel construction-related soft skills' taxonomy. A literature-based discovery method is applied for 32 scholarly documents. Soft skills are extracted, reduced, classified and organized into 12 clusters that constitute the taxonomy. The classification decisions are based on the hidden knowledge across the documents, the experiential knowledge of the authors, and are further triangulated utilizing a survey with feedback from industry and several interviews with academia. The proposed taxonomy is used further to develop a theoretical framework intended to help academia to better integrate a soft skills in construction curricula. It is suggested that this taxonomy would pave the road towards a soft skills' standardization in future studies

    ON THE ANALYSIS OF TURBULENT FLOW SIGNALS BY ARTIFICIAL NEURAL NETWORKS AND ADAPTIVE TECHNIQUES

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    ABSTRACT Artificial Neural Networks (ANNs) and evolution are applied to the analysis of turbulent signals. In a first instance, a new trainable delay based artificial neural network is used to analyze Hot Wire Anemometer (HW) signals obtained at different positions within the wake of a circular cylinder with Reynolds number values ranging from 2000 to 8000. Results show that these networks are capable of performing accurate short term predictions of the turbulent signal. In addition, the ANNs can be set in a long term prediction mode resulting in a sort of non linear filter able to extract the features having to do with the larger eddies and coherent structures. In a second stage these networks are used to reconstruct a regularly sampled signal straight from the irregularly sampled one provided by a Laser Doppler Anemometer (LDA). The irregular sampling dynamics of the LDA signals is governed by the arrival of the seeding particles, superimposing the already complex turbulent signal characteristics. To cope with this complexity, an evolutionary based strategy is used to perform an adaptive and continuous online training of the ANNs. This approach permits obtaining a regularly sampled signal not by interpolating the original one, as it is often done, but by modeling it

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