Sunday, November 27, 2011

Hard Drive Failure - What Goes Wrong & Can You Rely on Data Recovery?

The hard disk drive in your computer is the place where the data is stored, and the data is at its most current. So, if it fails and there is not a current backup then it can be a very serious problem.

Why will a disk fail?

Data Collection Tools

Data on a hard drive is stored on a circular platter that spins at anything from 5400 rpm to 15,000 rpm., with a read/write head mounted on an arm that positions it across the platter to access data. This head "floats" very close to the surface by dint of an aerodynamic effect, add to this movement and proximity the potential for heat generation and there is suddenly a lot that can go wrong.

Head Crash

This is when the head touches the surface of the platter whilst it is spinning, this could be the result of an impact or a mechanical failure within the HDA (HDA is the Head Disk Assembly which comprises the head/platter combination).

It is not too difficult to imaging the consequence of such contact, in the worst cases it can strip away the entire recorded surface of the platter leaving just the base material, usually glass.

Media Failure

Hard disk drives "hide" any instance of media failure to maintain a perfectly readable disk, and prevent operating system problems as the result of unreadable sectors. What they do is maintain a set of spare sectors, and when failures occur they reallocate data to one of these spares.

There can come a point where the spares are all used up and the errors begin. Normally the disk is in quite a sever state of failure by now and if the disk is kept working the problems will rapidly multiply.

Electronic Failure

Hard drives are controlled by circuitry that is susceptible to damage from electrostatic discharge or electrical surge. If a component is on the brink of failing then quite a minor electrical "blip" will push it over the edge.

The complexity with a hard drive is that there is code and information stored within memory devices on the drive controller and this is created when the drive is first formatted, so just replacing the electronics will not help.

Alignment failure and head failure.

If any of the read heads within the drive fail, and can no longer turn the magnetic signal going past into something that can be decoded by the drive electronics then again the disk drive has failed. Even if the heads have not failed but mechanical wear means that positioning to the correct place to find data is just not happening, then you can have lots of perfectly well recorded data but not means of accessing it.

Bearing seizure

Platter rotation has to be nice and smooth, any undue vibration can cause positional problems. Following an impact, or just after prolonged use, the bearings that allow the platter to rotate can crumble and seize. The drive cannot spin the platter and no data can be read.

Data Failures

Sometimes the problem lies not with the disk but with the person or system that is using it. The disappearance of a partition or files might actually be user error or the result of an application error, the disk might still be working perfectly well.

Hard Drive Data Recovery

This is the general term for a collection of techniques for getting the data of a failed device and finding a way of returning it in a usable form. This can range from quite a straightforward process, to a highly complex on, and in the worst case an impossible task.

It is tempting to depend on the general reliability combined with a belief that in the unlikely event of a failure a data recovery professional can help. Many firms cite 95% + success rates so why worry? First, the only statistic that matters is whether your disk can be recovered from, 500 other disks might have been recovered from 100%, but if yours has crashed beyond redemption then your data has gone.

Second, even a low cost data recovery will cost more than a 500GB USB disk, so why risk everything to save virtually nothing?

Hard Drive Data Recovery is an option, sometimes a business or marriage saver, but by taking a bit of care it can be an option that you do not need.

Hard Drive Failure - What Goes Wrong & Can You Rely on Data Recovery?

Saturday, November 26, 2011

Status of 2010 Census Operations (Part 1)

Status of 2010 Census Operations (Part 1) Video Clips. Duration : 95.75 Mins.


Status of 2010 Census Operations (Part 1) - House Oversight Committee - 2009-03-05 - House Committee on Oversight and Government Reform. The Information Policy, Census and National Archives Subcommittee will hold a hearing titled:Status of 2010 Census Operations, in room 2154 Rayburn House Office Building. Video provided by the US House of Representatives.

Tags: oversight.house.gov, public.resource.org, House, Resource, Org

Friday, November 25, 2011

Computer Forensics Tools

In general, a computer forensic investigator will use a tool in order to gather data from a system (e.g. a computer or computer network) without altering the data on that system. This aspect of an investigation, the care taken to avoid altering the original data, is a fundamental principle of computer forensic examination and some of the tools available include functionality specifically designed to uphold this principle. In reality it is not always easy to gather data without altering the system in some way (even the act of shutting a computer down in order to transport it will most likely cause changes to the data on that system) but an experienced investigator will always strive to protect the integrity of the original data whenever possible. In order to do this, many computer forensic examinations involve the making of an exact copy of all the data on a disk. This copy is called an image and the process of making an image is often referred to as imaging. It is this image which is usually the subject of subsequent examination.

Another key concept is that deleted data, or parts thereof, may be recoverable. Generally speaking, when data is deleted it is not physically wiped from the system but rather only a reference to the location of the data (on a hard disk or other medium) is removed. Thus the data may still be present but the operating system of the computer no longer "knows" about it. By imaging and examining all of the data on a disk, rather than just the parts known to the operating system, it may be possible to recover data which has been accidentally or purposefully deleted.

Data Collection Tools

Although most real world tools are designed to carry out a specific task (the hammer to hammer nails, the screwdriver to turn a screw, etc.) some tools are designed to be multi-functional. Similarly some computer forensic tools are designed with only one purpose in mind whereas others may offer a whole range of functionality. The unique nature of every investigation will determine which tool from the investigator's toolkit is the most appropriate for the task in hand.

As well as differing in functionality and complexity, computer forensic tools also differ in cost. Some of the market-leading commercial products cost thousands of dollars while other tools are completely free. Again, the nature of the forensic examination and the goal of the investigation will determine the most appropriate tools to be used.

The collection of tools available to the investigator continues to expand and many tools are regularly updated by their developers to enable them to work with the latest technologies. Furthermore, some tools provide similar functionality but a different user interface, whereas others are unique in the information they provide to the examiner. Against this background it is the task of the computer forensic examiner to judge which tools are the most appropriate for an investigation, bearing in mind the nature of the evidence which needs to be collected and the fact that it may at some stage be presented to a court of law. Without doubt, the growing number of both civil and criminal cases where computer forensic tools play a significant role makes this a fascinating field for all those involved.

Computer Forensics Tools

Thursday, November 24, 2011

Importance Of Data Mining In Today's Business World

What is Data Mining? Well, it can be defined as the process of getting hidden information from the piles of databases for analysis purposes. Data Mining is also known as Knowledge Discovery in Databases (KDD). It is nothing but extraction of data from large databases for some specialized work.

Data Mining is largely used in several applications such as understanding consumer research marketing, product analysis, demand and supply analysis, e-commerce, investment trend in stocks & real estates, telecommunications and so on. Data Mining is based on mathematical algorithm and analytical skills to drive the desired results from the huge database collection.

Data Collection Tools

Data Mining has great importance in today's highly competitive business environment. A new concept of Business Intelligence data mining has evolved now, which is widely used by leading corporate houses to stay ahead of their competitors. Business Intelligence (BI) can help in providing latest information and used for competition analysis, market research, economical trends, consume behavior, industry research, geographical information analysis and so on. Business Intelligence Data Mining helps in decision-making.

Data Mining applications are widely used in direct marketing, health industry, e-commerce, customer relationship management (CRM), FMCG industry, telecommunication industry and financial sector. Data mining is available in various forms like text mining, web mining, audio & video data mining, pictorial data mining, relational databases, and social networks data mining.

Data mining, however, is a crucial process and requires lots of time and patience in collecting desired data due to complexity and of the databases. This could also be possible that you need to look for help from outsourcing companies. These outsourcing companies are specialized in extracting or mining the data, filtering it and then keeping them in order for analysis. Data Mining has been used in different context but is being commonly used for business and organizational needs for analytical purposes

Usually data mining requires lots of manual job such as collecting information, assessing data, using internet to look for more details etc. The second option is to make software that will scan the internet to find relevant details and information. Software option could be the best for data mining as this will save tremendous amount of time and labor. Some of the popular data mining software programs available are Connexor Machines, Free Text Software Technologies, Megaputer Text Analyst, SAS Text Miner, LexiQuest, WordStat, Lextek Profiling Engine.

However, this could be possible that you won't get appropriate software which will be suitable for your work or finding the suitable programmer would also be difficult or they may charge hefty amount for their services. Even if you are using the best software, you will still need human help in completion of projects. In that case, outsourcing data mining job will be advisable.

Importance Of Data Mining In Today's Business World

Tuesday, November 22, 2011

Inside the Interface: Optimizing Search with Mathematica

Inside the Interface: Optimizing Search with Mathematica Tube. Duration : 3.60 Mins.


As a research analyst at BondDesk Group LLC, Joel Drouillard analyzes the way clients use the company's platform to search for fixed income securities. Recently, he started using Mathematica to go even deeper inside the interface to break down certain properties of searches. Using DatabaseLink, an industrial-strength Mathematica application that allows convenient integration of Mathematica with database management systems, Drouillard can easily retrieve all of BondDesk's click data. Once the data is in Mathematica, he can use the system's large collection of functions for numerical and symbolic computation and data processing to analyze and visualize clients' search behavior. Drouillard says, "I derive an immense amount of benefit from the tools Mathematica offers for mounting structures onto data. Visually, it's a big step forward, too." Drouillard says that with Mathematica's integrated approach to data handling, he can get a clearer picture of search activity on the company's interface and focus more on answering questions and optimizing the system. "One of the biggest advantages that I've derived from switching to Mathematica is its ability to operate in a vector sense or on a set sense rather than having to loop through everything. That's going to be relatively breakthrough in terms of my ability to now answer questions in a matter of minutes as opposed to...hours or days." The Mathematica Edge • Provides high-level interface to all standard SQL databases via ...

Keywords: Wolfram Research, Mathematica, Joel Drouillard, bonddesk Group, trading, fixed income trading, securities, bonds, search optimization, search, analytics

Monday, November 21, 2011

Google I/O 2010 - Fireside chat with the GWT team

Google I/O 2010 - Fireside chat with the GWT team Video Clips. Duration : 58.53 Mins.


Google I/O 2010 - Fireside chat with the GWT team Fireside Chats, GWT Bruce Johnson, Joel Webber, Ray Ryan, Amit Manjhi, Jaime Yap, Kathrin Probst, Eric Ayers, lan Stewart, Christian Dupuis, Chris Ramsdale (moderator) If you're interested in what the GWT team has been up to since 2.0, here's your chance. We'll have several of the core engineers available to discuss the new features and frameworks in GWT, as well as to answer any questions that you might have. For all I/O 2010 sessions, please go to code.google.com

Tags: GWT, Google Web Toolkit, Java, javascript, AJAX, googleio2010, google, Google I/O, developer conference, #io2010, #fireside-gwt

Sunday, November 20, 2011

Google I/O 2010 - Next gen queries

Google I/O 2010 - Next gen queries Tube. Duration : 50.28 Mins.


Google I/O 2010 - Next gen queries App Engine 301 Alfred Fuller This session will discuss the design and implications of improvements to the Datastore query engine including support for AND, OR and NOT query operators, the solution to exploding indexes and paging backwards with Cursors. Specific technologies discussed will be an improved zigzag merge join algorithm, a new extensible multiquery framework (with geo-query support) and a smaller more versatile Cursor design. For all I/O 2010 sessions, please go to code.google.com

Keywords: App Engine, Datastore, Query, Cursor, Zigzag Merge Join, googleio2010, google, Google I/O, developer conference, #io2010, #appengine10

Friday, November 18, 2011

From Sound Synthesis to Sound Retrieval and Back

From Sound Synthesis to Sound Retrieval and Back Tube. Duration : 55.42 Mins.


Google Tech Talks July 10, 2007 ABSTRACT In this talk I will go over the technological and conceptual ties that exist between some of the current trends in sound generation for music and multimedia applications and the techniques for content based sound retrieval. This is because quite a number of the techniques being worked on for sound retrieval come from the field of sound synthesis and at the same time the new developments in retrieval are being applied and are inspiring new directions in the development of sound generation systems. To explain all this I will use examples from the research carried out in the Music Technology Group at the Pompeu Fabra University of Barcelona, Spain. In...

Keywords: google, howto, sound, synthesis, retrieval, back

Wednesday, November 16, 2011

RAD TORQUE SYSTEMS - Wind Turbine Torque Tool Bolting Solutions

RAD TORQUE SYSTEMS - Wind Turbine Torque Tool Bolting Solutions Video Clips. Duration : 2.47 Mins.


With unsurpassed power-to-weight ratio, this legendary patented gearbox design offers the highest dependability in the industry. Capable of data collection, torque and angle measurement, field calibration and an accuracy of +/-3%. Torque ranges between 100 - 6000 ft.lbs www.eradtorque.com

Keywords: wind energy, electronic torque wrench, wind turbine torque tool, bolting, torque, RAD, E-RAD, ERAD, wind industry, torque tool, torque wrench, electric torque wrench, hydraulic, wind power, blade bolt, data collection, pistol grip torque wrenches

Tuesday, November 15, 2011

Data Collection is a Crucial Part of ABA Therapy

When looking at the various aspects of ABA therapy, it is easy to focus on such things as discrete trial teaching, repetition, or reinforcement. There is no doubt that these elements of the treatment are absolutely imperative. With that said, however, it is important for parents and educators to understand that even the best repetition and trials will be hindered without rigorous and proper data collection. ABA is an evidence based method of teaching, and the collection of data is absolutely essential.

Data collection helps ABA therapists accurately measure performance throughout the teaching process. Not only does it provide them with a deeper understanding of how the child progresses, but it enables them to monitor any setbacks or to identify any changes in environment or stimuli that led to different responses. It also helps parents and educators come up with behavior plans and to make adjustments to the curriculum as needed. The diagnostic information provided on data sheets should always be as detailed and accurate as possible, and schools and parents should work together to share and compare these sheets on a regular basis.

Data Collection Tools

There are a number of different types of data collection that help make ABA therapy more effective. Monitoring progress and setbacks is important, but it is equally important to make specific notes about reinforcement offered, prompts used to garner specific responses, and reactions to different stimuli and circumstances. It is also important to collect data on skill acquisition as well as on any improvements or changes noticed in any aspect of the therapy. This can help educators to understand exactly what is working and what is not and can even help to make clear what areas the child experiences the most difficulty in.

Data collection is as important to the student as it is for the educator. While parents and teachers collect data to help themselves understand what is working, the data is used to create a better learning environment for the student. ABA is always most effective when offered intensively at both home and school, and data collection makes it much easier for parents and educators to create matching lessons and trials and to compare data from different environments. Providing these students with the best learning opportunities possible is crucial, and this means creating trials that are as identical as possible. ABA can be very effective, and data collection can help ensure that you give your child the best opportunities possible.

Data Collection is a Crucial Part of ABA Therapy

Monday, November 14, 2011

3sconsultant- Training Modules

3sconsultant- Training Modules Video Clips. Duration : 2.10 Mins.


Following Training modules are available: Spoken English for students, employees, teachers, housewives & businessmen Personality Development Interview Skills Presentation Excellence Communication Skills Time management Motivation ISO 9001 Quality Management System ISO 14001 Environmental Management System OHSAS18001-Occupational Health and Safety Management System Total Quality Management 5S Japanese techniques COPQ (Cost of Poor Quality) QC Tools Brain Storming Cause & effect diagram Control Charts Data Collection Market Leadership Flow Diagram Interface Mindset Scatter diagram Problem Solving Meeting Quality Circles QC Story

Keywords: Spoken English, Personality Development, Interview Skills, Presentation Skills, Time Management, Motivation

Saturday, November 12, 2011

Statistical Analysis

Statistical analysis is normally referred to as a collection of methods that are used in processing large amount of information or data and also report the overall trends. Therefore, it is mainly useful when dealing with specific data. It provides different ways of reporting on how unusual event is actually based on certain historical data. For instance, our server normally uses different statistical analysis in order to examine tremendous amount of data that is produced everyday by stock market. Therefore, people prefer statistical analysis to other traditional forms of the technical analysis.

There are two different types of statistical analysis this include: descriptive and inferential statistics. Therefore, the major goal of this paper is to differentiate between two main types. To start with, descriptive statistics usually corresponds to the act of defining different characteristics of a given statistical measurement. Hence, it is based upon the methods and mechanisms that are employed to summarize and organize any raw data. So as to categorize that data from the random sample collected, many statisticians uses charts, tables, graphs and standard measurements like measurements of variation, average and percentiles.

Data Collection Tools

There are many ways in which this type of statistic has been used for instance, in baseball. Statisticians spend a lot of effort and also time examining and summarizing data they usually get from the game. For instance in 1948, over six hundred games were played in the league of America. Therefore, so as to determine which team that had best batting average, a lot of effort was required. This is because they were required to take official scores for every game, make a list of each batter, then compute all the results of each, add total number of the hits made and also total number of different times at bat so as to calculate with the batting average. This proved to be a lot of work and more complicated.

Nevertheless, due to technology this has changed a lot. This is because the use of various computer statistical programs together with capability of incorporating statistical functions on the spreadsheet programs like excel shows that more detailed and complicated information can actually be collected, formatted and also presented with just a couple of key strokes. As result all these has made many statisticians to handle a lot of data and explore it in a systematic way with a short duration.

The second type is inferential statistics. It is mostly based upon measuring and choosing trustworthiness of the conclusion about certain population parameter that is based on information from random sample which is the reduced portion of the same population. One good example where inferential statistic applied is the political predictions. For instance, you find that in order to predict who will actually be the winner in an election like presidential election, sample of few thousand who are carefully chosen are asked whom they are going to vote.

Therefore, from the answers they end up giving, statisticians are able to infer or predict who will be voted in. Without doubt, the primary elements in this type are choosing general population that will be polled and the questions that they will be asked. Hence, inferential statistics highly relies on the results. Therefore it is easier to predict who will win the election. On the other hand, the sampling may sometimes give rise to inferences that are incorrect. Therefore many statisticians have tried to look for other ways of collecting data.

In conclusion, these two types are quite important in data collection. However, many people prefer using descriptive to inferential statistics this is because its results are more accurate.

Statistical Analysis

Friday, November 11, 2011

Tips For Collecting Data During Home ABA Therapy

 For parents conducting intensive ABA or Applied Behavior Analysis therapy at home, collecting and tracking data can seem like a daunting task.  Some parents feel that they need to keep rigorous data in regards to every question to a degree that it hampers their ability to teach effectively, while some parents feel that they can rely on memory to track their child's progress and note both impairments and improvements.  The truth is that data collection is a delicate balance between ensuring that progress is properly noted without getting so wrapped up in details that the lesson suffers.  What follows are some basic tips for collecting data.

It should first be noted that parents are encouraged to use data collection sheets.  Professionally designed to offer task analysis as well as the creation of easy to read graphs, data collection sheets simplify analyzing your child's progress with ABA therapy.  For parents who opt to create their own data records, however, there are some tips to simplify and streamline the process.  It is recommended to record data for separate sections and skills on separate sheets of paper and to document results only at the end of the lesson.
 
One tip many parents find helpful is to take a task such as getting dressed and break it down into smaller sections, such as choosing clothes, putting on underwear, putting on pants, putting on shirt, putting on sock, putting on shoes, putting pajamas in hamper, etc.  When each step is outlined, it becomes easy to outline which steps were taken without prompt and which required prompting.  This helps to outline trends and areas that need more work.  The same theory can apply for any activity, including things such as shape or color recognition, with notes being taken of shapes or colors recognized alone and those requiring a hint or prompt.  It is important to count only the child's first response and to be truthful in your data recording, as counting partial answers can skew data and harm your progress in the long run.
 
In short, data collection can be a relatively simple process even though it is highly important.  While professional collection sheets are recommended, many parents find success using their own data collection methods.  Applied Behavior Analysis relies heavily on the assessment of the data that is collected from each lesson, but as long as the proper data is recorded and the proper points are stressed and worked on, ABA is designed to help your child function as normally as possible.

Data Collection Tools

Tips For Collecting Data During Home ABA Therapy

Tuesday, November 8, 2011

Collecting Data With Web Scrapers

There is a large amount of data available only through websites. However, as many people have found out, trying to copy data into a usable database or spreadsheet directly out of a website can be a tiring process. Data entry from internet sources can quickly become cost prohibitive as the required hours add up. Clearly, an automated method for collating information from HTML-based sites can offer huge management cost savings.

Web scrapers are programs that are able to aggregate information from the internet. They are capable of navigating the web, assessing the contents of a site, and then pulling data points and placing them into a structured, working database or spreadsheet. Many companies and services will use programs to web scrape, such as comparing prices, performing online research, or tracking changes to online content.

Data Collection Tools

Let's take a look at how web scrapers can aid data collection and management for a variety of purposes.

Improving On Manual Entry Methods

Using a computer's copy and paste function or simply typing text from a site is extremely inefficient and costly. Web scrapers are able to navigate through a series of websites, make decisions on what is important data, and then copy the info into a structured database, spreadsheet, or other program. Software packages include the ability to record macros by having a user perform a routine once and then have the computer remember and automate those actions. Every user can effectively act as their own programmer to expand the capabilities to process websites. These applications can also interface with databases in order to automatically manage information as it is pulled from a website.

Aggregating Information

There are a number of instances where material stored in websites can be manipulated and stored. For example, a clothing company that is looking to bring their line of apparel to retailers can go online for the contact information of retailers in their area and then present that information to sales personnel to generate leads. Many businesses can perform market research on prices and product availability by analyzing online catalogues.

Data Management

Managing figures and numbers is best done through spreadsheets and databases; however, information on a website formatted with HTML is not readily accessible for such purposes. While websites are excellent for displaying facts and figures, they fall short when they need to be analyzed, sorted, or otherwise manipulated. Ultimately, web scrapers are able to take the output that is intended for display to a person and change it to numbers that can be used by a computer. Furthermore, by automating this process with software applications and macros, entry costs are severely reduced.

This type of data management is also effective at merging different information sources. If a company were to purchase research or statistical information, it could be scraped in order to format the information into a database. This is also highly effective at taking a legacy system's contents and incorporating them into today's systems.

Overall, a web scraper is a cost effective user tool for data manipulation and management.

Collecting Data With Web Scrapers

Saturday, November 5, 2011

DeWALT Dust Extraction Systems For Cordless And Corded SDS Rotary Hammers

DeWALT Dust Extraction Systems For Cordless And Corded SDS Rotary Hammers Tube. Duration : 0.55 Mins.


Read Article: www.aconcordcarpenter.com A few weeks ago I toured the Black & Decker University for a media event. I really enjoyed learning about several new DEWALT product lines and even had an opportunity to test some of the new SDS Rotary Hammers. [See video of me testing one below] PRESS RELEASE DEWALT® Launches Two New Dust Extraction Systems for Cordless and Corded SDS Rotary Hammers TOWSON, Md. (June 23, 2010) - DEWALT announced today the launch of two new Dust Extraction Systems (D25302DH and D25301D) for cordless and corded DEWALT SDS rotary hammers. With this expanded offering, DEWALT now provides a complete line of dust extraction solutions encompassing all cordless and corded DEWALT 7/8" and 1" SDS Rotary Hammers. The new dust extraction systems are ideal for controlling dust in occupied remodel jobs, data rooms, laboratories, public spaces, and overhead applications. "After spending significant time on jobsites and conducting countless discussions with contractors, we learned professionals need an integrated cordless rotary hammer and dust extraction solution with the ability to collect even the smallest of dust particles," said Mike McDowell, Group Product Manager, D EWALT. "We are confident this new system will exceed users' expectations and offer the suction power and versatility they demand." The new Cordless Dust Extraction System with HEPA filter (D25302DH) for DEWALT 36-volt and 28-volt SDS rotary hammers is equipped with a built-in motor delivering ...

Keywords: Dewalt, cordless drills, rotarty hammers, dust extraction, vacuumns, hammer dills, tool vacuums

Friday, November 4, 2011

Statistics Help, standard deviation tutorial , statistics probability , probability and statistics

Statistics Help, standard deviation tutorial , statistics probability , probability and statistics Video Clips. Duration : 2.22 Mins.


www.DissertationHelpIndia.COM provides you help with Custom business dissertation, Statistics Help Contact us at DissertationHelpIndia@yahoo.com or DissertationHelpIndia@gmail.com or CALL NOW :- 0091-9212652900 Statistics Help Provided by DissertationHelpIndia.COM Statistics is the core of research. Completing the data collection and analysing it forms the crux of research paper. Thesis, Dissertation generally requires a lot of data collection and then analysis of the same. The data collection and tabulation are also a part of statistics. Statistics help service has been designed by us keeping in mind the requirements of a PhD researcher who has good subject knowledge, however, is not very well versed with the use of statistical tools. Further, sometimes it becomes difficult to infer the results of statistical tests. For these requirements, we offer complete interpretation report writing of the results thus achieved. correlation and regression spss tutorial correlation SPSS tutorial 3 spss tutorial spss correlation and regression We offer expert guidance to research students in completing their statistics part of the research work. Tools including SPSS, SAS, Excel, and Minitab are used frequently by us in completing such research studies. The choice of statistical tool depends on the topic of research and the preference of the student. We offer comprehensive data collection and analysis post implementation of the statistical tool. We offer SPSS Help for those researchers ...

Keywords: Statistics, Help, thesis writing, thesis editing, dissertation writing, dissertation editing, thesis writers, dissertation writers, how to write thesis, how to write dissertation, how to write research proposal, project, projects, report, reports, data, analysis, spss, stats, stata, sas, matlab, annotated, bibliography, referencing, Harvard, apa, statistical, mla, hypothesis, testing, anova, how, to, reduce, plagiarism

Thursday, November 3, 2011

What it Takes to Be a Certified Clinical Data Manager

The flourishing industry of clinical data management has opened many great opportunities for would-be clinical data managers. There are strict policies and standards that govern this growing industry, so does the quest for the best clinical data managers.

For a newbie in this industry, they should not only possess good analytical and scientific knowledge. The never-ending advancement of technology is as important as any knowledge there is, and a good candidate should be savvy in more ways than one. Skills and work experience are also vital in the selection of a would-be manager. However, a topnotch, certified clinical data manager should not only possess certain skills and vast knowledge, he/she must also meet the requirements for being one.

Data Collection Tools

Professional eligibility, competency in the skill sets and knowledge, and adherence to the code of ethics for professional clinical data management are the core imprints of a certified clinical data manager. High level of expertise and responsibility, and continuous recognized contribution to the industry are also as important as the rest of the qualifications that make one.

An interest in this career is brought about by the very competitive salary base and benefits. In the United States, the base salary range for a certified clinical data manager is from ,000 to 0,000. Top it up with benefits and perks such as bonuses, social security, disability and healthcare, car and housing loans, pension, time-off and 401k.

A great career comes with responsibility and eligibility. It is important that a candidate possesses the right skills and experience to meet the industry standards.

Key responsibilities of a certified clinical data manager:

Works and coordinates with the research team. He/she supervises all the aspects of data collection and entry, analysis and report generation. It is his/her responsibility to oversee and maintain the productivity and accuracy of the research team.

Responsible for developing data collection standards of various research and/or department projects. He/she may also be tasked to develop new protocols, update methods and generate ideas for software development. Experience in a laboratory setting and familiarity in research and its aspects are also vital factors that back-up the skill sets and knowledge. Exposure to research and development are also key competencies of a certified clinical data manger.

He/she should be effective in communicating in both verbal and written form, and can develop and implement procedures and timelines. They should also know how to explain technical information to both research participants and stakeholders. Good problem-solving skills, creative and analytical thinking and ability to work under pressure and tight deadlines are just some of the best characteristics of a certified clinical data manager.

Qualifying Factors that make a good certified manager:

A Masters degree is a minimum requirement, while a PhD is often required. Area of specialization such as microbiology, molecular biology, genetics and chemistry are just some of the required educational backgrounds from a qualifying candidate.

They should have extensive laboratory experience with a minimum of five years on research within the scope of his/her specialty. Additional training, research exposure and laboratory skills are also qualifying factors and give you an edge over the competition.

What it Takes to Be a Certified Clinical Data Manager

Wednesday, November 2, 2011

Metin Akay - Advances in Neural Engineering part 2. IEEE - UdelaR

Metin Akay - Advances in Neural Engineering part 2. IEEE - UdelaR Tube. Duration : 24.92 Mins.


Neural Engineering is a new discipline which unites engineering, computer science, physics, chemistry, and mathematics with cellular, molecular, cognitive and behavioral neurosciences, to understand the organizational principles and underlying mechanisms of the biology of neural systems, and to study the behavior dynamics and complexities of neural systems in nature. Therefore, it deals with many aspects of basic and clinical problems associated with neural dysfunction including the representation of sensory and motor information, the electrical stimulation of the neuromuscular system to control the muscle activation and movement, the analysis and visualization of complex neural systems at multi-scale from the single-cell and to the system levels to understand the underlying mechanisms, the development of novel electronic and photonic devices and techniques for experimental probing, the neural simulation studies, and the design and development of human-machine interface systems and artificial vision sensors and neural prosthesis to restore and enhance the impaired sensory and motor systems and functions from gene to system.Furthermore, the neuroscience has become more quantitative and information-driven science since emerging implantable and wearable sensors from macro to nano and computational tools facilitate collection and analysis of vast amounts of neural data. Complexity analysis of neural systems provides physiological knowledge for the organization, management and ...

Keywords: Neural Enginering, IEEE, Uruguay, Biomedical Engineering, EMBS