Browse

Navigating Context

Posted on: #iteachmsu
Wednesday, Dec 6, 2023
NLP tasks
Human language is filled with ambiguities that make it incredibly difficult to write software that accurately determines the intended meaning of text or voice data. Homonyms, homophones, sarcasm, idioms, metaphors, grammar and usage exceptions, variations in sentence structure—these just a few of the irregularities of human language that take humans years to learn, https://byjus.com/biology/flower/ but that programmers must teach natural language-driven applications to recognize and understand accurately from the start, if those applications are going to be useful.
https://byjus.com/biology/flower/ https://byjus.com/biology/flower/

Several NLP tasks break down human text and voice data in ways that help the computer make sense of what it's ingesting. Some of these tasks include the following:

Speech recognition, also called speech-to-text, is the task of reliably converting voice data into text data. Speech recognition is required for any application that follows voice commands or answers spoken questions. What makes speech recognition especially challenging is the way people talk—quickly, slurring words together, with varying emphasis and intonation, in different accents, and often using incorrect grammar.
Part of speech tagging, also called grammatical tagging, is the process of determining the part of speech of a particular word or piece of text based on its use and context. Part of speech identifies ‘make’ as a verb in ‘I can make a paper plane,’ and as a noun in ‘What make of car do you own?’
Word sense disambiguation is the selection of the meaning of a word with multiple meanings through a process of semantic analysis that determine the word that makes the most sense in the given context. For example, word sense disambiguation helps distinguish the meaning of the verb 'make' in ‘make the grade’ (achieve) vs. ‘make a bet’ (place).
Named entity recognition, or NEM, identifies words or phrases as useful entities. NEM identifies ‘Kentucky’ as a location or ‘Fred’ as a man's name.
Co-reference resolution is the task of identifying if and when two words refer to the same entity. The most common example is determining the person or object to which a certain pronoun refers (e.g., ‘she’ = ‘Mary’), but it can also involve identifying a metaphor or an idiom in the text (e.g., an instance in which 'bear' isn't an animal but a large hairy person).
Sentiment analysis attempts to extract subjective qualities—attitudes, emotions, sarcasm, confusion, suspicion—from text.
Natural language generation is sometimes described as the opposite of speech recognition or speech-to-text; it's the task of putting structured information into human language.
Authored by: Super Admin - R
Loading..
Posted on 1: #iteachmsu
NLP tasks
Human language is filled with ambiguities that make it incredibly difficult to write software that accurately determines the intended meaning of text or voice data. Homonyms, homophones, sarcasm, idioms, metaphors, grammar and usage exceptions, variations in sentence structure—these just a few of the irregularities of human language that take humans years to learn, https://byjus.com/biology/flower/ but that programmers must teach natural language-driven applications to recognize and understand accurately from the start, if those applications are going to be useful.
https://byjus.com/biology/flower/ https://byjus.com/biology/flower/

Several NLP tasks break down human text and voice data in ways that help the computer make sense of what it's ingesting. Some of these tasks include the following:

Speech recognition, also called speech-to-text, is the task of reliably converting voice data into text data. Speech recognition is required for any application that follows voice commands or answers spoken questions. What makes speech recognition especially challenging is the way people talk—quickly, slurring words together, with varying emphasis and intonation, in different accents, and often using incorrect grammar.
Part of speech tagging, also called grammatical tagging, is the process of determining the part of speech of a particular word or piece of text based on its use and context. Part of speech identifies ‘make’ as a verb in ‘I can make a paper plane,’ and as a noun in ‘What make of car do you own?’
Word sense disambiguation is the selection of the meaning of a word with multiple meanings through a process of semantic analysis that determine the word that makes the most sense in the given context. For example, word sense disambiguation helps distinguish the meaning of the verb 'make' in ‘make the grade’ (achieve) vs. ‘make a bet’ (place).
Named entity recognition, or NEM, identifies words or phrases as useful entities. NEM identifies ‘Kentucky’ as a location or ‘Fred’ as a man's name.
Co-reference resolution is the task of identifying if and when two words refer to the same entity. The most common example is determining the person or object to which a certain pronoun refers (e.g., ‘she’ = ‘Mary’), but it can also involve identifying a metaphor or an idiom in the text (e.g., an instance in which 'bear' isn't an animal but a large hairy person).
Sentiment analysis attempts to extract subjective qualities—attitudes, emotions, sarcasm, confusion, suspicion—from text.
Natural language generation is sometimes described as the opposite of speech recognition or speech-to-text; it's the task of putting structured information into human language.
Authored by: Super Admin - R
Wednesday, Dec 6, 2023
Loading..
Posted on: #iteachmsu
Thursday, Nov 30, 2023
What is Attention Deficit Hyperactivity Disorder?
ADHD is one of the most commonly diagnosed conditions of children (Centers for DiseaseControl and Prevention, 2015). 

In a 2016 Centers for Disease Control and Prevention study, scientists found that 6.1 million children aged 2-17 years living in the U.S. had been diagnosed with attention-deficit/hyperactivity disorder (ADHD), which is similar to previous en

Ages 6-11: Approximately 2.4 million children
Ages 12-17: Approximately 3.3 million children


The diagnostic term attention deficit/hyperactivity disorder (ADHD) refers to individuals who display patterns of inattention, impulsivity, and overactive behavior that interfere with daily functioning (American Psychiatric Association [APA], 2013).
The Diagnostic and Statistical Manual (DSM) V (APA, 2013) criteria for diagnosing ADHD listthree types of ADHD and the accompanying characteristics.
Authored by: Primer text from The College of William & Mary
post image
Posted on: #iteachmsu
post image
What is Attention Deficit Hyperactivity Disorder?
ADHD is one of the most commonly diagnosed conditions of children (...
Authored by:
Thursday, Nov 30, 2023
Posted on: #iteachmsu
Friday, Nov 24, 2023
Eating a wide variety of nutritious foods, including fruit, vegetables, nuts, seeds, and lean protei
Eating a wide variety of nutritious foods, including fruit, vegetables, nuts, seeds, and lean protein can help support your overall health.

Many foods are both healthy and tasty. By filling your plate with fruits, vegetables, quality protein sources, and other whole foods, you’ll have meals that are colorful, versatile, and good for you.
 
Here are 50 healthy and delicious to include in your diet.YT video URL: YT video embedded video URL:Testing... 
Authored by: Vijayalaxmi Santosh mhetre
post image
Posted on: #iteachmsu
Friday, Nov 24, 2023
Eating a wide variety of nutritious foods, including fruit, vegetables, nuts, seeds, and lean protei
Eating a wide variety of nutritious foods, including fruit, vegetables, nuts, seeds, and lean protein can help support your overall health.

Many foods are both healthy and tasty. By filling your plate with fruits, vegetables, quality protein sources, and other whole foods, you’ll have meals that are colorful, versatile, and good for you.
 
Here are 50 healthy and delicious to include in your diet.

Eating a wide variety of nutritious foods, including fruit, vegetables, nuts, seeds, and lean protein can help support your overall health.

Many foods are both healthy and tasty. By filling your plate with fruits, vegetables, quality protein sources, and other whole foods, you’ll have meals that are colorful, versatile, and good for you.
 
Here are 50 healthy and delicious to include in your diet.
Authored by: Vijayalaxmi
post image
Posted on: #iteachmsu
Wednesday, Nov 22, 2023
Article For Software development life cycle
What is SDLC?
SDLC is a process followed for a software project, within a software organization. It consists of a detailed plan describing how to develop, maintain, replace and alter or enhance specific software. The life cycle defines a methodology for improving the quality of software and the overall development process.
The following figure is a graphical representation of the various stages of a typical SDLC.

A typical Software Development Life Cycle consists of the following stages −
Stage 1: Planning and Requirement Analysis
Requirement analysis is the most important and fundamental stage in SDLC. It is performed by the senior members of the team with inputs from the customer, the sales department, market surveys and domain experts in the industry. This information is then used to plan the basic project approach and to conduct product feasibility study in the economical, operational and technical areas.
Planning for the quality assurance requirements and identification of the risks associated with the project is also done in the planning stage. The outcome of the technical feasibility study is to define the various technical approaches that can be followed to implement the project successfully with minimum risks.
Stage 2: Defining Requirements
Once the requirement analysis is done the next step is to clearly define and document the product requirements and get them approved from the customer or the market analysts. This is done through an SRS (Software Requirement Specification) document which consists of all the product requirements to be designed and developed during the project life cycle.
Stage 3: Designing the Product Architecture
SRS is the reference for product architects to come out with the best architecture for the product to be developed. Based on the requirements specified in SRS, usually more than one design approach for the product architecture is proposed and documented in a DDS - Design Document Specification.
This DDS is reviewed by all the important stakeholders and based on various parameters as risk assessment, product robustness, design modularity, budget and time constraints, the best design approach is selected for the product.
A design approach clearly defines all the architectural modules of the product along with its communication and data flow representation with the external and third party modules (if any). The internal design of all the modules of the proposed architecture should be clearly defined with the minutest of the details in DDS.
Stage 4: Building or Developing the Product
In this stage of SDLC the actual development starts and the product is built. The programming code is generated as per DDS during this stage. If the design is performed in a detailed and organized manner, code generation can be accomplished without much hassle.
Developers must follow the coding guidelines defined by their organization and programming tools like compilers, interpreters, debuggers, etc. are used to generate the code. Different high level programming languages such as C, C++, Pascal, Java and PHP are used for coding. The programming language is chosen with respect to the type of software being developed.
Stage 5: Testing the Product
This stage is usually a subset of all the stages as in the modern SDLC models, the testing activities are mostly involved in all the stages of SDLC. However, this stage refers to the testing only stage of the product where product defects are reported, tracked, fixed and retested, until the product reaches the quality standards defined in the SRS.
Stage 6: Deployment in the Market and Maintenance
Once the product is tested and ready to be deployed it is released formally in the appropriate market. Sometimes product deployment happens in stages as per the business strategy of that organization. The product may first be released in a limited segment and tested in the real business environment (UAT- User acceptance testing).
Then based on the feedback, the product may be released as it is or with suggested enhancements in the targeting market segment. After the product is released in the market, its maintenance is done for the existing customer base.Video link:Embedded video link:Link: https://projects.invisionapp.com/d/main#/console/20294675/458743820/preview 
Authored by: Vijayalaxmi vishvanath mali
post image
Posted on: #iteachmsu
Friday, Nov 3, 2023
Global Warming (Globalization)
Global warming is a term used for the observed century-scale rise in the average temperature of the Earth's climate system and its related effects. Scientists are more than 95% certain that nearly all of global warming is caused by increasing concentrations of greenhouse gases (GHGs) and other human-caused emissions.
Posted by: Chathuri Super admin..
Loading..
Posted on 1: #iteachmsu
Global Warming (Globalization)
Global warming is a term used for the observed century-scale rise in the average temperature of the Earth's climate system and its related effects. Scientists are more than 95% certain that nearly all of global warming is caused by increasing concentrations of greenhouse gases (GHGs) and other human-caused emissions.
Posted by: Chathuri Super admin..
Friday, Nov 3, 2023
Loading..
Posted on: #iteachmsu
Thursday, Oct 26, 2023
3 Kinds of Exercise That Boost Heart Health
Aerobic Exercise
What it does: Aerobic exercise improves circulation, which results in lowered blood pressure and heart rate, Stewart says. In addition, it increases your overall aerobic fitness, as measured by a treadmill test, for example, and it helps your cardiac output (how well your heart pumps). Aerobic exercise also reduces the risk of type 2 diabetes and, if you already live with diabetes, helps you control your blood glucose.
How much: Ideally, at least 30 minutes a day, at least five days a week.
Examples: Brisk walking, running, swimming, cycling, playing tennis, and jumping rope. Heart-pumping aerobic exercise is the kind that doctors have in mind when they recommend at least 150 minutes per week of moderate activity.
Resistance Training (Strength Work)
What it does: Resistance training has a more specific effect on body composition, Stewart says. For people who are carrying a lot of body fat (including a big belly, which is a risk factor for heart disease), it can help reduce fat and create leaner muscle mass. Research shows that a combination of aerobic exercise and resistance work may help raise HDL (good) cholesterol and lower LDL (bad) cholesterol.
How much: At least two nonconsecutive days per week of resistance training is a good rule of thumb, according to the American College of Sports Medicine.
Examples: Working out with free weights (such as hand weights, dumbbells, or barbells), on weight machines, with resistance bands or through body-resistance exercises, such as push-ups, squats, and chin-ups.
Stretching, Flexibility, and Balance
What they do: Flexibility workouts, such as stretching, don’t directly contribute to heart health. What they do is benefit musculoskeletal health, which enables you to stay flexible and free from joint pain, cramping, and other muscular issues. That flexibility is a critical part of being able to maintain aerobic exercise and resistance training, says Stewart.
“If you have a good musculoskeletal foundation, that enables you to do the exercises that help your heart,” he says. As a bonus, flexibility and balance exercises help maintain stability and prevent falls, which can cause injuries that limit other kinds of exercise.
How much: Every day and before and after another exercise.
Examples: Your doctor can recommend basic stretches you can do at home, or you can find DVDs or YouTube videos to follow (though check with your doctor if you’re concerned about the intensity of the exercise). Tai chi and yoga also improve these skills, and classes are available in many communities.Testing 
Authored by: Viju
post image
Posted on: #iteachmsu
Tuesday, Sep 26, 2023
FBC
Department of Haematology
Notes
Full blood counts are performed on automated equipment and provide haemoglobin concentration, red cell indices, white cell count (with a differential count) and platelet count.
The presence of abnormal white cell and red cell morphology is flagged by the analysers.
Blood films may be inspected to confirm and interpret abnormalities identified by the cell counter, or to look for certain specific haematological abnormalities.
Grossly abnormal FBC results and abnormal blood films will be phoned through to the requestor.
There is no need to request a blood film to obtain a differential white count. It is, however, important that clinical details are provided to allow the laboratory to decide whether a blood film, in addition to the automated analysis, is required.
Under some circumstances a differential is not routinely performed, e.g. pre-op, post-op, antenatal and postnatal requests.
Full Blood Counts are performed at CGH and GRH
See also: Reticulocyte Count
The FBC comprises the following tests

Standard

Haemoglobin (Hb)
White Blood Count (WBC)
Platelet Count (Plt)
Red Cell Count (RBC)
Haematocrit (HCT)
Mean Cell Volume - Red cell (MCV)
Mean Cell Haemoglobin (MCH)
Differential White Cell Count (where applicable)

Neutrophils
Lymphocytes
Monocytes
Eosinophils
Basophils
And if appropriate

Blood Film
Sample Requirements
2ml or 4ml EDTA sample or a Paediatric 1ml EDTA sample.

EDTA with cap

1ml Paediatric EDTA
Sample Storage and Retention
Pre analysis storage: do not store, send to laboratory within 4 hours.
Sample retention by lab: EDTA samples are retained for a minimum of 48 hours at 2-10°C
Transport of samples may affect sample viability, i.e. FBC results will degenerate if exposed to high temperatures, such as prolonged transportation in a hot car in summer.
This test can be added on to a previous request as long as there is sufficient sample remaining and the sample is less than 24 hours old.

Turnaround Times
Clinical emergency: 30 mins
Other urgent sample: 60 mins
Routine: within 2 hours
Reference Ranges
If references ranges are required for paediatric patients please contact the laboratory for these.

Parameter Patient Reference Range Units Haemoglobin Adult Male 130 - 180 g/L Adult Female 115 - 165 g/L Red Cell Count Adult Male 4.50 - 6.50 x10^12/L Adult Female 3.80 - 5.80 x10^12/L Haematocrit Adult Male 0.40 - 0.54 L/L Adult Female 0.37 - 0.47 L/L Mean Cell Volume Adult 80 - 100 fL Mean Cell Haemoglobin Adult 27 - 32 pg White Cell Count Adult 3.6 - 11.0 x10^9/L Neutrophils Adult 1.8 - 7.5 x10^9/L Lymphocytes Adult 1.0 - 4.0 x10^9/L Monocytes Adult 0.2 - 0.8 x10^9/L Eosinophils Adult 0.1 - 0.4 x10^9/L Basophils Adult 0.02 - 0.10 x10^9/L Platelet Count Adult 140 - 400 x10^9/L
Authored by: Super admin - R
Loading..
Posted on 1: #iteachmsu
FBC
Department of Haematology
Notes
Full blood counts are performed on automated equipment and provide haemoglobin concentration, red cell indices, white cell count (with a differential count) and platelet count.
The presence of abnormal white cell and red cell morphology is flagged by the analysers.
Blood films may be inspected to confirm and interpret abnormalities identified by the cell counter, or to look for certain specific haematological abnormalities.
Grossly abnormal FBC results and abnormal blood films will be phoned through to the requestor.
There is no need to request a blood film to obtain a differential white count. It is, however, important that clinical details are provided to allow the laboratory to decide whether a blood film, in addition to the automated analysis, is required.
Under some circumstances a differential is not routinely performed, e.g. pre-op, post-op, antenatal and postnatal requests.
Full Blood Counts are performed at CGH and GRH
See also: Reticulocyte Count
The FBC comprises the following tests

Standard

Haemoglobin (Hb)
White Blood Count (WBC)
Platelet Count (Plt)
Red Cell Count (RBC)
Haematocrit (HCT)
Mean Cell Volume - Red cell (MCV)
Mean Cell Haemoglobin (MCH)
Differential White Cell Count (where applicable)

Neutrophils
Lymphocytes
Monocytes
Eosinophils
Basophils
And if appropriate

Blood Film
Sample Requirements
2ml or 4ml EDTA sample or a Paediatric 1ml EDTA sample.

EDTA with cap

1ml Paediatric EDTA
Sample Storage and Retention
Pre analysis storage: do not store, send to laboratory within 4 hours.
Sample retention by lab: EDTA samples are retained for a minimum of 48 hours at 2-10°C
Transport of samples may affect sample viability, i.e. FBC results will degenerate if exposed to high temperatures, such as prolonged transportation in a hot car in summer.
This test can be added on to a previous request as long as there is sufficient sample remaining and the sample is less than 24 hours old.

Turnaround Times
Clinical emergency: 30 mins
Other urgent sample: 60 mins
Routine: within 2 hours
Reference Ranges
If references ranges are required for paediatric patients please contact the laboratory for these.

Parameter Patient Reference Range Units Haemoglobin Adult Male 130 - 180 g/L Adult Female 115 - 165 g/L Red Cell Count Adult Male 4.50 - 6.50 x10^12/L Adult Female 3.80 - 5.80 x10^12/L Haematocrit Adult Male 0.40 - 0.54 L/L Adult Female 0.37 - 0.47 L/L Mean Cell Volume Adult 80 - 100 fL Mean Cell Haemoglobin Adult 27 - 32 pg White Cell Count Adult 3.6 - 11.0 x10^9/L Neutrophils Adult 1.8 - 7.5 x10^9/L Lymphocytes Adult 1.0 - 4.0 x10^9/L Monocytes Adult 0.2 - 0.8 x10^9/L Eosinophils Adult 0.1 - 0.4 x10^9/L Basophils Adult 0.02 - 0.10 x10^9/L Platelet Count Adult 140 - 400 x10^9/L
Authored by: Super admin - R
Tuesday, Sep 26, 2023
Loading..
icon busy for category details