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Number of Directions: Give a minimal number of directions or steps at a time.If necessary, have students repeat the directions to the teacher or a peer partner.
Form of Directions: Provide written directions or steps, or a visual model of acompleted project. Teach students how to refer to these items as reminders ofprocess steps to complete tasks. This strategy is particularly helpful for long-termprojects.
Written AssignmentsMany students with ADHD have particular challenges with written work due to finemotorskills difficulties, motor planning issues, and difficulty alternating their attentionfrom a book to their written responses. 

Students with ADHD may also need assistance breaking a larger task or project into smaller, more workable units.
The following strategies can be used to address these needs.
Deconstructing Tasks: Break tasks into smaller units.o Limit the amount of work per page.o Cover up part of the work on a page.o Allow extra time for completing tasks.o Provide work breaks.o Allow students to use a computer to type or to use speech-to-text software.o Reduce the length of written assignments.

Limit the amount of work per page.
Cover up part of the work on a page.
Allow extra time for completing tasks.
Provide work breaks.
Allow students to use a computer to type or to use speech-to-text software

 Reduce the length of written assignments.

The core of IoT is the data you can draw from things and transmit over the internet. To optimize the farming process, IoT devices installed on a farm should collect and process data in a repetitive cycle that enables farmers to react quickly to emerging issues and changes in ambient conditions. Smart farming follows a cycle similar to this one:
1. Observation . Sensors record observational data from the crops, livestock, soil, or atmosphere. 
2. Diagnostics. The sensor values are fed to a cloud-hosted IoT platform with predefined decision rules and models—also called "business logic"—that ascertain the condition of the examined object and identify any deficiencies or needs.
3. Decisions . The user and/or the machine learning-driven components of the IoT platform assess the revealed issues to decide if location-specific treatment is necessary.
4. Action . After end-user evaluation and action, the cycle repeats from the beginning.

Combined type. The student may exhibit symptoms that include behaviors from both categories above.
In order for a student to be diagnosed with ADHD, symptoms must appear before age 12 and be exhibited across at least two settings. They must also have adverse effects on academic performance, occupational success, or social-emotional development (APA, 2013). 

To add to the complexity of the diagnosis, children with ADHD are likely to have co-existing emotional, behavioral, developmental, learning, or physical conditions (Wolraich & DuPaul, 2010). 

Just over 3 billion people are online with an estimated 17 billion connected devices or sensors. [9] That generates a large amount of data which, combined with decreasing costs of data storage, is easily available for use. Machine learning can use this as training data for learning algorithms, developing new rules to perform increasingly complex tasks.
Just over 3 billion people are online with an estimated 17 billion connected devices or sensors.  That generates a large amount of data which, combined with decreasing costs of data storage, is easily available for use. Machine learning can use this as training data for learning algorithms, developing new rules to perform increasingly complex tasks.
Just over 3 billion people are online with an estimated 17 billion connected devices or sensors. [9] That generates a large amount of data which, combined with decreasing costs of data storage, is easily available for use. Machine learning can use this as training data for learning algorithms, developing new rules to perform increasingly complex tasks.
Just over 3 billion people are online with an estimated 17 billion connected devices or sensors. That generates a large amount of data which, combined with decreasing costs of data storage, is easily available for use. Machine learning can use this as training data for learning algorithms, developing new rules to perform increasingly complex tasks.

Kids love music & I was not surprised the other day when she sang the whole song “lakdi ki kathi, kathi pe ghoda” and danced to the tune as well. She now sings quite a few songs & rhymes. It seems like she has a good ear for music because she has been listening to it since childhood. I also noticed that a soothing instrumental piece calms her down whereas a song like “lungi dance” excites her. So, dance becomes an excellent physical activity to channelise the never-ending energy of a kid, and singing & listening to songs becomes a great mental activity.

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.

There are various software development life cycle models defined and designed which are followed during the software development process. These models are also referred as Software Development Process Models". Each process model follows a Series of steps unique to its type to ensure success in the process of software development.

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