Virtualization In Software Development

Virtualization’s big push to fame was arguably kick-started by VMware’s Workstation product, which allowed individual users to run a bunch of OSes, versions or instances (similar to multiple application windows) instead of having a one-at-a-time multi-boot environment. In many companies, virtualization arrived with developers first using the technology quietly to do testing and development, then introducing the virtualization tools to IT higher-ups.

While today, computer virtualization fuels many production environments, e.g., servers, desktop infrastructures, and as a provisioning tool, virtualization is also used by a still-growing number of software developers. For starters, they use virtualization tools to provide a range of target environments for development and testing (such as different operating systems, OS versions and browsers), and also to provision/re-provision configuration instances quickly and easily.

Here’s a look at how and why some of today’s developers are using virtualization and what their quibbles are with the technology as it stands.

Provisioning Multiple Test Environments

Mark Friedman, a senior software architect, works in Microsoft’s Developer Division, where upwards of 3,000 people create Visual Studio and the .NET Framework. Friedman himself works mainly on the performance tools that ship with Microsoft’s Visual Studio Team System. “About two-thirds of the people in my division are in development and testing — and most of these developers and testers are using system virtualization (via Microsoft’s Hyper-V technology) as one of their key productivity tools,” says Friedman, who is also a board director of The Computer Measurement Group.

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PCOS women were hyperandrogenic [median FAI = 4.9 (IQR 3.6-7.4)], and POI women were hypoandrogenic [FAI = 1.2 (0.8-1.7)], compared with RC women [FAI = 1.7 (1.1-2.8)], after adjustment for age, ethnicity, smoking and BMI (P < 0.001). After adjustment for age, there were no significant differences in androgens between POI and NM (P = 0.15) women and between NM and RC (P = 0.27) women, the latter indicating that chronological aging rather than ovarian aging influences the differences between pre- and post-menopausal women. A high FAI was associated with elevated triglycerides (β log FAI for PCOS: 0.45, P < 0.001, POI: 0.25, P < 0.001, NM: 0.20, P = 0.002), insulin (β log FAI for PCOS: 0.77, POI: 0.44, NM: 0.40, all P < 0.001), HOMA-IR (β log FAI for PCOS: 0.82, POI: 0.46, NM: 0.47, all P < 0.001) and mean arterial pressure (β log FAI for PCOS: 0.05, P = 0.002, POI: 0.07, P < 0.001, NM: 0.04, P = 0.04) in all women; with increased glucose (β log FAI for PCOS: 0.05, P = 0.003, NM: 0.07, P < 0.001) and decreased high-density lipoprotein (β log FAI for PCOS: -0.23, P < 0.001, NM: -0.09, P = 0.03) in PCOS and NM women; and with increased low-density lipoprotein (β log FAI for POI: 0.083, P = 0.041) in POI women. Adjustment for BMI attenuated the observed associations. Associations between FAI and cardiometabolic features were the strongest in PCOS women, even after adjustment for BMI. testosterone.

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This study aimed to evaluate the effects of quinestrol, a synthetic oestrogen homologue with reproductive toxicity, on the secretion of reproductive hormones and antioxidant status in adult male rat. Our results showed that quinestrol exposure significantly decreased the weight of the testis, epididymides, seminal vesicle, and prostate, as well as the sperm counts in the cauda epididymis of rats. Quinestrol significantly reduced the size of seminiferous tubules and the total number of spermatogenic cells. Serum testosterone, follitropin, and lutropin were also significantly reduced in a dose-related manner after quinestrol exposure. Meanwhile, the activity of superoxide dismutase, glutathione peroxidase, and total antioxide capacity significantly decreased, whereas the malondialdehyde and nitric oxide concentrations significantly increased in the testes. These findings revealed that endocrine disorders of reproductive hormones and oxidative stress may be involved in reproductive toxicity induced by quinestrol in adult male rats. testosterone.

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VitE and DEX in simultaneous form of administration significantly (P<0.05) down-regulated the tissue ALP level and attenuated the VCL-decreased GSH-px, SOD and TAC levels and remarkably (P<0.05) down-regulated the testicular malondialdehyde (MDA) and nitric oxide (NO) contents. The VCL-induced histopathological alterations significantly (P<0.05) improved in VitE and DEX-administrated animals. The VitE and DEX co-administration reduced the VCL-increased RNA damage and elevated the Leydig cells steroidogenic activity. The Hsp70-2 protein level completely (P<0.05) increased in VitE and DEX alone-and-simultaneous-administrated animals. Finally, the VitE and DEX could significantly (P<0.05) improve the VCL-decreased semen quality and improved the sperm DNA integrity and chromatin condensation. testosterone.

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We review development and evolution of TIP hypospadias repair, including technical changes made to improve its results. We also discuss general risk factors for hypospadias surgical complications. testosterone.

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Several clinical studies testify the critical role played by estrogens in male bone metabolism. The aim of our study is to assess the effect of a single injection of testosterone enanthate in a group of hypogonadal men on 17β estradiol serum levels and some bone metabolic parameters. testosterone.

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We performed a prospective randomized, double-blinded, placebo-controlled study, during 18 months. A total of 45 healthy sexually active postmenopausal women reporting diminished libido were selected to participate in the study and were randomly assigned to receive 750 mg/d of T terrestris or placebo for 120 days. Randomization was performed using sealed envelopes. All participants answered the Female Sexual Function Index and the Sexual Quotient-female version questionnaires and had their serum levels of prolactin, thyroid-stimulating hormone, total testosterone, and sex hormone-binding globulin measured. testosterone.

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Regular Expression with C#: Part 1

In this tutorial wholesale jerseys you will learn.

  1. Extract Text From The Web pages
  2. Use a special software (Expresso) to make writing Regular Expressions easier
  3. Write and Use Regular Expressions in C#

This tutorial is intended for people who know how to do some basic Regular Expressions and know the syntax of the language. Since there is a lot of material to cover I won’t go over everything.

Till a little while ago I never really thought much of Regular Expressions. I used them a couple of times just to validate an email address or web address etc. It was not till one day I thought of making a web scraping program that would deal with pages from a site and then store all the grabbed information in an xml file.

The need of grabbing the contents came across while studying the RSS technology. In RSS you need to send user a predefined output in XML format with some extra tags. In this tutorial I will not be reaching to that extent, but will give you all an idea about how to just grab the data from the site. Then its upon you, how to utilize the knowledge.

I will take the example of a google search result page, where the results are listed in a well organized manner. We will find out some text from the page for each result and display the result in my own format.

Step 1: Create a web application to host our functionality.

  1. Open Visual Studio 2005
  2. File Menu > New > Web Site
  3. Select ASP.Net Web Site from the listed project templates
  4. Select Language as Visual C# and Click Ok.

You will see the Default.aspx page in the solution explorer, if not add it.

Step 2: Write code to get the desired page source (Google Search Results).

  1. Drag n Drop a TextBox, Button and a Label Control on the Page in design mode.
  2. Rename TextBox1 to txtSearch, Button1 to btnSearch and Label1 to lblResults.
  3. On btnSearch Click event write the following code.
protected void btnGetRating_Click(object sender, EventArgs e)
    if (string.IsNullOrEmpty(txtSearch.Text.Trim()))
        txtSearch.Text = "Google";
    string URL = txtSearch.Text;
    string IMDBData = WebPage.getContents(URL);
    string fullRating = getRating(IMDBData.Replace("n", "").Replace("rn", "").Replace("nr", ""));
    lblResults.Text = fullRating;

Continue reading Regular Expression with C#: Part 1