# data[].attributes.body
1.Established habits.
2.Traditional desks.
3.Final decision.
4.Standing classroom.

# data[].attributes.body
New, better, harmful, huge.
Noun;
Chair, school, health, experiment.

# data[].attributes.headline
ADJECTIVE+NOUN                                         1)Student(noun) Result(adj)                     2)Background(noun) Music(adj)             3)New(adj) Table(noun)

# data[].attributes.subject
ADJECTIVE+NOUN                                         1)Student(noun) Result(adj)                     2)Background(noun) Music(adj)             3)New(adj) Table(noun)

# data[].attributes.body
(Adjective) + (Noun)
1. Traditional + seating
2. Traditional + desk
3. Standing + classroom
4. Enjoy + background

# data[].attributes.headline
1) final (adj) decision (noun) 2) traditional (adj) desks (noun) 3) standing (adj) classroom (noun) 4) after-school (adj) events (noun) 

# data[].attributes.subject
1) final (adj) decision (noun) 2) traditional (adj) desks (noun) 3) standing (adj) classroom (noun) 4) after-school (adj) events (noun) 

# data[].attributes.headline
Adjectives: guilty, active, medical, long. Noun: school, computers, seat, researchers. 

# data[].attributes.subject
Adjectives: guilty, active, medical, long. Noun: school, computers, seat, researchers. 

# data[].attributes.headline
excess sitting ,moved around ,new tables swinging footrest.

# data[].attributes.subject
excess sitting ,moved around ,new tables swinging footrest.

# data[].attributes.headline
Adjective : excess, active ,medical ,harmful.

# data[].attributes.subject
Adjective : excess, active ,medical ,harmful.

# data[].attributes.headline
Adj + noun: traditional(adj), desk(noun)

# data[].attributes.subject
Adj + noun: traditional(adj), desk(noun)

# data[].attributes.headline
Noun : activities, music, performance, attendance

# data[].attributes.subject
Noun : activities, music, performance, attendance

# data[].attributes.body
(Adj) final + (noun) decision
(Adj ) traditional + (noun) desk

# data[].attributes.headline
Adjective : excess , constant , huge , new 

# data[].attributes.subject
Adjective : excess , constant , huge , new 

# data[].attributes.headline
Abstract noun: Benefits, results , enjoy and fairly.

# data[].attributes.subject
Abstract noun: Benefits, results , enjoy and fairly.

# data[].attributes.headline
adj+noun= traditional (adj) desk (noun),    established (adj) habits (noun),         final (adj) decision(noun)       

# data[].attributes.subject
adj+noun= traditional (adj) desk (noun),    established (adj) habits (noun),         final (adj) decision(noun)       

# data[].attributes.headline
Adjective: harmful ,digital ,traditional and guilty.

# data[].attributes.subject
Adjective: harmful ,digital ,traditional and guilty.

# data[].attributes.body
1. TV , School , Computer , Desks
Abstract Noun :
2. Health , Technology

# data[].attributes.headline
Adj + noun: new (adj) environment (noun)

# data[].attributes.subject
Adj + noun: new (adj) environment (noun)

# data[].attributes.headline
Adjective: risk, harmful, attentive, alert

# data[].attributes.subject
Adjective: risk, harmful, attentive, alert

# data[].attributes.body
1. School , Students , Computers, Employees

# data[].attributes.body
Aware , Particular , Harmful , Active

# data[].attributes.headline
Noun : school, computer, office workers, desks

# data[].attributes.subject
Noun : school, computer, office workers, desks

# data[].attributes.headline
Abstract nouns : development , risk , improvement .

# data[].attributes.subject
Abstract nouns : development , risk , improvement .

# data[].attributes.headline
Noun: school, medical , health, students

# data[].attributes.subject
Noun: school, medical , health, students

# data[].attributes.body
1. Active , Expert , Attentive , Harmful

# data[].attributes.headline
Nouns : school , technology , health , computers 

# data[].attributes.subject
Nouns : school , technology , health , computers 

# data[].attributes.body
School, computers, TV, Students.
(Abstract Nouns) Experiments, improvements, risks , development.

# data[].attributes.body
Guilty, Medical, active, harmful.

# data[].attributes.headline
List four (4) adjectives that come right before the noun.

# data[].attributes.subject
List four (4) adjectives that come right before the noun.

# data[].attributes.headline
List four (4) adjectives and four (4) nouns from the extract.

# data[].attributes.subject
List four (4) adjectives and four (4) nouns from the extract.