Discovery Laboratories (DSCO) Surged on FDA Approval of SURFAXIN (lucinactant)

Discovery Laboratories Inc. (Nasdaq:DSCO) >

Shares of DSCO surged today after the company reported that the FDA has agreed to DSCO’s updated product specifications for SURFAXIN(R) (lucinactant) Intratracheal Suspension which was approved for the prevention of respiratory distress syndrome (RDS) in premature infants at high risk for RDS.

DSCO has initiated manufacturing of SURFAXIN for its planned commercial introduction in the fourth quarter of 2013.

SURFAXIN is the first FDA-approved synthetic, peptide-containing surfactant available for the prevention of RDS in premature infants and the only approved alternative to animal-derived surfactants currently used today.

Respiratory distress syndrome (RDS) is a breathing disorder that affects newborns. RDS rarely occurs in full-term infants. The disorder is more common in premature infants born about 6 weeks or more before their due dates.

RDS is more common in premature infants because their lungs aren’t able to make enough surfactant (sur-FAK-tant). Surfactant is a liquid that coats the inside of the lungs. It helps keep them open so that infants can breathe in air once they’re born.

Without enough surfactant, the lungs collapse and the infant has to work hard to breathe. He or she might not be able to breathe in enough oxygen to support the body’s organs. The lack of oxygen can damage the baby’s brain and other organs if proper treatment isn’t given.

Most babies who develop RDS show signs of breathing problems and a lack of oxygen at birth or within the first few hours that follow.

DSCO’s SURFAXIN is an important medical advancement for the neonatology community and parents of preterm infants who will soon have an effective alternative to animal-derived surfactants for the prevention of RDS.

DSCO stock price is about $2.81, up $0.84 or 42.63%, with over 12,220,000 shares traded so far.

DSCO is a specialty biotechnology company focused on advancing a new standard in respiratory critical care.

DSCO’s novel proprietary KL4 surfactant technology produces a synthetic, peptide-containing surfactant that is structurally similar to pulmonary surfactant. DSCO is also developing its proprietary drug-delivery technologies to enable efficient delivery of aerosolized KL4 surfactant and other inhaled therapies.

More about Discovery Laboratories Inc. (Nasdaq:DSCO) at www.Discoverylabs.com.

Why Are Teens So Stressed Science Fair Projects

The topic of your science fair project is critical to its success. If you select a topic that you are not interested in you will find the process of completing a science fair project boring and tedious. However, you can overcome this problem by focusing on something that either interests you or that impacts your life directly. Here is a topic for this year’s science fair project “why are teens so stressed?”

Background Research

“Why are teens so stress?” This is the topic for your science fair project this year. So now that you have a topic your next step is to conduct research on this subject. This research will need to begin with a general search of teen stress. The results from this search will provide you with leads on what is stressing out teens and what research has already been done.

Develop a Hypothesis

Now that you know a little bit about your topic your next step is to develop a hypothesis. Your hypothesis will predict what is stressing out teens. For example, your hypothesis may be that teen stress rates are impacted directly by the stricter entrance requirements for college.

Develop an Experiment

After you have a hypothesis you will need to find a way to test that hypothesis. If your hypothesis is that teens are stressed by the increase in acceptance standards of colleges then you will need to design an experiment that tests how these higher standards are impacting student stress levels. You can do this by collecting data on college entrance requirements from the 70s and comparing them to those of today, and you can also conduct interviews with teens to figure out how stricter college entrance requirements are impacting their stress levels.

Collect Data

Data collection for this type of science fair project will involve collecting data and information from government and nonprofit sources, as well as collecting data directly from your own test subjects. When you are collecting data from your test subjects make sure your test conditions remain constant for each experiment. This will help to ensure your data is reliable and valid.

Forex Robots And Leo Trader Pro

A Forex robot aids in the currency trading process. Forex robot is all about providing automated help in entering and exiting trades with the goal of making a profit. These robots make the entire process of keeping up with the market easy and help you avoid spending too much time on the computer manually. However, Forex robots are programmed to function on just one specific way to trade. They are unable to function effectively with fast changing trends of the markets. Forex robots are not able to perceive the unpredictable forex markets and are unable to strategize uniquely, thus.

Therefore, there arises the need to constantly update the trading softwares. Leo Trader Pro is a revolutionary and unconventional product which employs a unique approach as opposed to the unconventional approach of the other trading robots. Leo trader is the first Neutral Network robot which is adaptive of the current market conditions. Neutral Networks are trained every single day before the trades are signaled to make them adaptable to current market conditions. The Leo Trader seems to be based upon practical strategies which will ensure usage of current market condition as well as the market trends from the past. Analyzing, understanding and observing, followed by perception and improvisation based on the research and comprehension of market situations and trends is what would be the basic principle of work with Leo Trader Pro. This system of operation with these advanced robots is a human way of thinking. Ability to take precise trading decisions rather than indicator readings is something which stands ou
t in these robots. There will be a marked rise in profits with the help of these robots and the efficiency of this system is more likely to strengthen further over time undoubtedly!

The Leo Trader has made available the account investor password to the general public. This means that one can use ones copy of the Meta Trader 4 to log into the account and verify the performance of their trading robot. This serves as the standard of proof. Letting out passwords is something that has been done for the first time. Also, Leo Trader has established a genuine development in the market by ensuring a testimony by a CEO of a major brokerage.

Google Io Showcases Wearable Technologies

It seems that wearable technology is going to be the in thing in the next few years. During the 2012 Google I/O, a major theme that was being pushed would be technology that would be wearable by the consumers.

Instead of having to bring along a separate device in bags or pant pockets, it seems that Google (and other tech companies for that matter) would want users to actually wear them as part of their outfit. Perhaps the idea behind this is that it would make the device much more embedded into the lives of its users.

Historical Use:

Industry observers mentioned that the idea is not that far-fetched. In fact, the military would already have prototypes and actual products of utilizing wearable computers. Usually, these military themed devices are used either for their communications capabilities or their GPS functionalities. However, the trend is to slowly bring these military devices into use for regular consumers.

In fact, there are now more companies who have tried to integrate their devices into more wearable designs. For example, MIT researches have long been looking at how they can manufacture wearable computers. Another example would be on how Apples iPod Nano has now made a wristband like peripheral which you could use to wear the highly capable device as a wrist watch.

Googles take:

Not one to be left behind by technology, Google also has something up their sleeve. They have previously announced the Google Glass. Google glass is a wearable device that would provide its users with a video game like heads up display while they are doing their everyday tasks.

Some analysts believe that Googles involvement in wearable technology would help push forward the acceptance of wearable devices. As of now, the use and acceptance of it is usually limited to the aforementioned military uses as well as to some of the rich and tech savvy people.

Analysts are speculating that similar to what happened with Android and smartphones, a Google role in the push for wearable technologies would also help push the number of devices that would provide this kind of function to the consumers,

Of course, people should note that despite the Google glass being highlighted in this years Google I/O, the actual thing is still in development. Many experts believe that the soonest that it would become available for commercial release would still be in 2 or 3 more years.

Knowledge Discovery

Knowledge discovery is the process of extracting the unknown or hidden nuggets of information from the large volumes of data in repositories. It uses various statistical and mathematical techniques that correlate the information to find out trends and patterns from data pool. It provides insights for the plethora of data available randomly. Knowledge Discovery is a process where raw data is transformed into understandable data and then the trends and patterns are recognized using various techniques and algorithms. The process includes following operations:

1. Data Collection: The structured, semi-structured and unstructured data (web mails, phone records, audios, graphics, images etc.) is integrated from disparate source and collected in a repository called data. This large data from database and data warehouse is subject to pre-processing process to obtain the target data for reporting and analysis.

2. Data Cleaning: The real world data is dirty as it has missing values, inconsistent data, unclear attributes etc. It is an important part of knowledge discovery process as it removes the noise and inconsistency of data, provides smoothness and minimize to it by using techniques like Binning, Regression and Clustering.

3. Data Integration: It is normalizes the clean data into cubes, flat files etc. so that the unknown patterns can be identified from the target data.

4. Data Transformation: It is the process of mapping the instances and schema following one-to-one or one-to-many transformation rules to minimize redundancy.

5. Data Categorization: The data is now reduced in volumes but holds complete representation. Aggregation, selection and clustering techniques are used to categorize and reduce data volume.

6. Data Mining: It is a complete technology which uses heuristics methods to discover tends and patterns followed within a cluster of data or among the different clusters of data. Some of the widely used data mining techniques are Neural Network, Linear Regression, Decision Trees, Bayesian Network, Support Vector Machine, Clustering etc.

7. Data Evaluation and Prediction: The pattern discovered by data mining techniques is evaluated on various historical facts available in the data pool to predict -what next-. The statistics allows to performing predictive analytics on the trends and patterns obtained after data mining.

APPLICATIONS: Knowledge Discovery is an interdisciplinary field having widespread applications in various domains such as Financial Industry, Retail Industry, Telecommunication Industry, Aviation Industry, Medical Research, Security Agencies.

Aarken Technologies, a sophisticated IT company that deals in top of the line engineering solutions, proposes a tool called Matrix Mapper that uses Knowledge Discovery, Data Mining and Predictive Anlaytics as its major components. The Matrix Mapper (MM) is a product for that would mirror the capabilities of the Analysts’ Notebook (AN), an application created by i2, an IBM subsidiary, which cannot be sold anywhere outside the US and Russia and is subject to stringent US Export Control (EC) regulations.

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