Биофизика и биотехнологии. Biophysics and biotechnologies. Учебное пособие
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Her main concern is helping Её главная забота – помогать людям. people.
Gerund as direct object |
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Герундий как прямое дополнение |
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Gerunds in the function of |
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Герундий в функции прямого допол- |
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direct objects are used after |
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нения употребляется после многих гла- |
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many verbs, for example, after |
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голов, например, после "admit, advise, |
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"admit, advise, allow, avoid, |
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allow, avoid, begin, can't help, continue, |
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begin, |
can't |
help, |
continue, |
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deny, discuss, enjoy, finish, forbid, give |
deny, |
discuss, enjoy, finish, |
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up, go on, imagine, involve, keep, like, |
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forbid, give up, go on, ima- |
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mention, mind, postpone, practice, prefer, |
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gine, involve, keep, like, men- |
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quit, recommend, risk, stop, suggest". |
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tion, mind, postpone, practice, |
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Примеры: |
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prefer, quit, recommend, risk, |
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stop, suggest". Examples: |
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Stop |
talking. |
Begin |
writing. |
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Прекратите разговаривать. Начинайте |
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писать. Продолжайте читать. Продол- |
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Go on reading. Keep working. |
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жайте работать. |
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Gerund |
as |
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prepositional |
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Герундий как предложное допол- |
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object after phrasal verbs |
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нение после фразовых глаголов |
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Gerunds are often used after |
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Герундий |
часто употребляется после |
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prepositions. |
Gerunds in |
the |
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предлогов. Герундий в функции пред- |
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function |
of |
prepositional |
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ложного |
косвенного |
дополнения |
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indirect objects are used after |
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употребляется после различных фразо- |
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various phrasal verbs, adjec- |
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вых глаголов, прилагательных и при- |
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tives |
and |
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Participles |
that |
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частий, требующих определённых пред- |
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require certain prepositions. |
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логов. |
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For example, after "accuse of, |
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Например, после "accuse of, agree on, |
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agree |
on, |
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apologize |
for, |
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apologize for, approve of, believe in, |
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approve of, believe in, blame |
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blame for, care about, complain about, |
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for, |
care |
about, complain |
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complain of, confess to, consent to, consist |
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about, complain of, confess to, |
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in, consist of, count on, depend on, |
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consent to, consist in, consist |
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disapprove of, dream of, feel like, feel up |
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of, count on, depend on, |
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to, forget about, forgive for, insist on, keep |
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disapprove of, dream of, feel |
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from, lead to, long for, look forward to, |
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like, |
feel up |
to, |
forget about, |
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mean by, |
object to, pay |
for, persist in, |
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forgive for, insist on, keep |
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prevent from, remind of, result in, return |
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from, lead to, long for, look |
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to, save from, succeed in, suspect of, take |
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forward to, mean by, object to, |
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to, talk into, talk out of, thank for, think |
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pay for, persist in, prevent |
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about, think of, work on, worry about". |
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from, remind of, result in, |
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return to, save from, succeed |
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in, suspect of, take to, talk |
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into, talk out of, thank for, |
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think about, think of, work on, |
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worry about". |
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Compulsory |
vaccination pre- |
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Обязательная |
вакцинация предотвра- |
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vented |
the |
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disease |
from |
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тила распространение этой болезни. |
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spreading. |
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We are looking forward to |
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Мы с нетерпением ждём встречи с вами. |
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seeing you. |
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Gerund |
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as |
prepositional |
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Герундий как предложное дополне- |
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object after adjectives |
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ние после прилагательных |
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Gerunds |
as |
prepositional |
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Герундий как предложное дополнение |
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objects are used after many |
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употребляется после многих прила- |
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adjectives |
and |
participles, |
for |
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гательных и причастий, например, |
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example, |
after |
"accused |
of, |
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после "accused of, accustomed to, afraid |
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accustomed to, afraid of, angry |
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of, angry at, annoyed at, ashamed of, |
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at, annoyed at, ashamed of, |
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aware of, capable of, careful about, |
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aware of, capable of, careful |
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concerned |
about, |
confident |
of, |
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about, |
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concerned |
about, |
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disappointed at, engaged in, experienced |
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confident |
of, |
disappointed |
at, |
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in, frightened of, fond of, furious at, good |
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engaged |
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in, |
excited |
about, |
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at, grateful for, interested in, proud of, |
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experienced in, |
frightened |
of, |
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responsible for, scared of, sorry for, |
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fond of, furious at, good at, |
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successful in, sure of, surprised at, |
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grateful |
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for, |
interested |
in, |
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thankful for, tired of, be used to, worried |
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proud |
of, |
responsible |
for, |
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about". |
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scared of, sorry for, successful in, sure of, surprised at, thankful for, tired of, be used to, worried about".
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I'm tired of arguing. He is |
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Я устала от споров (устала спорить). Он |
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afraid of going there. She is |
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боится идти туда. Она любит слушать |
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fond of listening to fairy tales. |
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сказки. Его обвинили в краже. Он |
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He was accused of stealing. He |
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гордится тем, что он член команды. |
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is proud of being a member of |
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the team. |
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These exercises are good for |
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Эти упражнения хороши для запоми- |
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memorizing vowel |
combina- |
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нания сочетаний гласных. |
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tions. |
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Gerund as attribute |
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Герундий как определение |
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Gerunds in the function of |
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Герундий в функции определения стоит |
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attributes stand after the nouns |
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после существительного, которое он |
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that they modify, usually after |
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определяет, обычно после предлогов |
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the prepositions "of, for, in, |
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"of, for, in, at". Наиболее часто упот- |
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at". The most frequently used |
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ребляется предлог "of". |
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preposition is "of". |
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The Gerund is preceded by |
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Перед герундием стоит предлог "of" |
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"of" |
after |
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the |
nouns |
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после существительных "advantage, art, |
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"advantage, art, |
chance, |
cost, |
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chance, cost, custom, danger, fear, feeling, |
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custom, |
danger, |
fear, feeling, |
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habit, hope, idea, illusion, importance, |
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habit, |
hope, |
idea, |
illusion, |
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intention, joy, luxury, misery, necessity, |
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importance, |
intention, |
joy, |
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opportunity, |
pain, |
pleasure, possibility, |
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luxury, |
misery, |
necessity, |
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process, prospect, question, risk, sensation, |
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opportunity, |
pain, |
pleasure, |
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task, thought, way". |
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possibility, process, |
prospect, |
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question, risk, |
sensation, |
task, |
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thought, way". |
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Gerunds in set phrases |
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Герундий в устойчивых фразах |
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Note the use of the Gerund |
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Обратите |
внимание на |
употребление |
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after nouns in the following set |
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герундия |
после |
существительных в |
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expressions. The |
Infinitive is |
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следующих |
устойчивых |
выражениях. |
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not used in these cases. |
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Инфинитив не употребляется в этих |
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случаях. |
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Mike is in charge of inviting Майк отвечает за приглашение гостей. guests.
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There was no point in going |
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Не было смысла идти туда. |
there. |
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There is no sense in waiting |
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Нет смысла ждать их здесь. |
for them here. |
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There is no harm in being |
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В осторожности нет вреда. |
careful. |
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He had no difficulty / no |
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У него не было затруднений в полу- |
trouble getting a credit card. |
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чении кредитной карточки. |
He had difficulty breathing. |
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Он с трудом дышал. |
Gerunds in constructions |
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Герундий в конструкциях после |
after formal subject IT |
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формального подлежащего IT |
Gerunds are used after certain adjectives and nouns in constructions with the formal subject IT. On the whole, Infinitives are more common in constructions with the formal subject IT.
Герундий употребляется после некоторых прилагательных и существительных в конструкциях с формальным подлежащим IT. В целом, инфинитив более употребителен в конструкциях с формальным подлежащим IT.
It is useless asking him. (It is useless to ask him.)
It is worth talking to him. It's worth doing it.
Gerund as adverbial modifier
Бесполезно просить его. (Бесполезно просить его.)
Стоит поговорить с ним. Стоит сделать это.
Герундий как обстоятельство
Gerunds in the function of adverbial modifiers are used after various prepositions, for example, after "after, before, on", "by", "without, besides, instead of", "for the purpose of; on the point of; in the event of; subject to"
He surprised us by saying a few words first in Chinese and then in French.
Герундий в функции обстоятельства употребляется после различных предлогов, например, после after, before, on, by, without, besides, instead of, for the purpose of; on the point of; in the event of; subject to.
Он удивил нас, сказав несколько слов сначала на китайском, а затем на французском.
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14. Define the functions of the Gerund in the following sentences and translate them.
1.Go on making the experiment.
2.Measuring temperature is necessary in many experiments.
3.There can be no progress in science without experimenting.
4.Solving such problems helps us greatly.
5.Their wish is mastering the fundamentals of petrochemistry.
6.The melting point of aluminum is 657°C.
7.I remember visiting this laboratory.
8.They succeeded in obtaining these data.
15. Translate the following sentences. Note the words which help you to define whether the word with the suffix -ing is a Verbal Noun, a Gerund or a Participle.
1.Our aim is solving this complex problem.
2.They succeeded in obtaining good results working with this metal.
3.The building of the house will be finished next month.
4.In testing the devices they found some serious faults.
5.The growing importance of automatic equipment in industry attracts world-wide attention.
6.Russian scientists played a great role in the spreading of the metric system in Russia.
7.After graduating from University he remained there as a postgraduate at the Physics Department.
8.Using the new method it is possible to increase accuracy and speed of spectral analysis
9.Thousands of scientists, using the most modern equipment, are studying the atmosphere.
16. Translate the following sentences paying attention to the functions of the Gerund.
1.Large-scale application of electronic technique is a trend of technical progress capable of revolutionizing many branches of industry.
2.The physicists have developed a method for using optical quantum generators for spectral analysis.
3.When atoms or molecules are excited, they emit electromagnetic waves. By counting the number of waves in a certain period, a very accurate measure of time can be defined.
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4.The operating speeds of these systems will be measured in nanoseconds.
5.Telemetry is the science of seeing some place without being there.
6.Electronics is not so much a new subject as a new way of looking at electricity. 7. These scientists continue working in this promising field of knowledge.
8.We know of Yoffe's having contributed much to the research of transistors.
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Module 6. Artificial Intelligence
and Machine Learning
Before you read
Answer the questions:
1.What is artificial intelligence (AI) and how does it differ from human intelligence?
2.Can you name some common applications of AI in our daily lives?
3.Are there any ethical concerns regarding the use of AI? If so, what are they?
4.How has AI contributed to advancements in healthcare?
5.What are the potential benefits and drawbacks of relying heavily on AI in different sectors?
VOCABULARY
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Word |
Translation |
1. |
integral part |
неотъемлемая часть |
2. |
human cognition |
человеческое сознание |
3. |
identifying patterns |
выявление закономерностей |
4. |
employ |
использовать |
5. |
genomic |
геномный |
6. |
proteomic |
протеомный |
7. |
overwhelming |
огромный, ошеломляющий |
8. |
decipher |
расшифровывать |
9. |
unique genetic makeup |
уникальный генетический состав (код) |
10. |
leverage |
задействовать, эффективно использовать |
11. |
fraudulent activities |
мошеннические действия |
12. |
risk assessment |
оценка рисков |
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13. |
variable |
переменная |
14. |
split-second |
молниеносный, за доли секунды |
15. |
Generative Pre-trained |
генеративный предварительно обученный |
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Transformer (GPT) |
трансформатор |
16. |
spread fake news |
распространять ложные новости |
17. |
surveillance |
контроль, наблюдение |
18. |
ethical guidelines |
этические принципы |
19. |
job displacement |
сокращение рабочих мест |
20. |
data privacy |
конфиденциальность данных |
READING
1. Read the text and translate it:
Artificial Intelligence: Understanding the Future of Technology
In today's rapidly advancing world, technological innovations have become an integral part of our daily lives. One of the most revolutionary developments of recent times is Artificial Intelligence (AI). AI refers to computer systems and machines that possess the ability to simulate human intelligence and carry out tasks that typically require human cognition.
One of the main applications of AI is machine learning, a branch of AI that enables computers to learn and improve from experience without being programmed. By analyzing vast amounts of data, these systems are capable of identifying patterns and making autonomous decisions. Machine learning has been successfully employed in various fields, including healthcare, finance, transportation, and many others.
One of the significant benefits of AI in bioengineering is its ability to analyze complex biological data more efficiently and accurately than humans. The vast amounts of genomic and proteomic information that researchers deal with can be overwhelming. However, AI algorithms have the power to quickly decipher patterns, identify relationships, and predict potential outcomes. This assists bioengineers in designing and developing targeted therapies and treatments for various diseases.
In the medical field, AI has the potential to revolutionize patient care. Advanced machine learning algorithms can analyze vast amounts of medical data, helping doctors to diagnose diseases more accurately and detect patterns that humans might overlook. Moreover, AI can also provide personalized treatment plans and recommendations based on an individual's unique genetic makeup and medical history.
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Similarly, AI can be widely used in the financial sector. Banks and financial institutions are leveraging machine learning algorithms to detect fraudulent activities and improve credit risk assessments. These algorithms have the ability to analyze a large number of variables to identify suspicious transactions in real-time, thus keeping customers’ data and money safe.
Transportation is another area where AI is making remarkable advancements. Self-driving cars, equipped with AI systems, have the potential to transform the way we commute. By using sensors, cameras, and machine learning algorithms, these vehicles are capable of navigating roads and making split-second decisions, significantly reducing the risk of accidents caused by human error.
One of the recent developments in the area of AI is Generative Pretrained Transformers (GPT). These models use deep learning techniques to create coherent and relevant text, and even produce images. GPT models have been trained on a large amount of data from the internet to learn language patterns. This training allows them to generate human-like text when given a prompt or question. GPT models can do amazing things like writing stories, programming, translating languages, and having conversations. They have many potential uses in industries like chatbots, customer service, content creation, and language understanding. As GPT models continue to improve, they have the potential to enhance our interactions with machines and improve automated text generation.
AI in different areas has both benefits and concerns. One big concern is how AI could harm society. One way is by taking away jobs, as AI can do tasks that humans used to do. This is a worry because it could lead to people being unemployed and unfairness in the economy. Another concern is that some people might use AI for not good things, like hacking or spreading fake news. Because of this, we need strict rules and ethical guidelines to make sure AI is used responsibly. Another problem is about privacy and keeping data safe. AI often needs a lot of personal data, which raises concerns about surveillance and people's right to privacy. So, society needs to tackle these threats and problems to use AI in a way that is safe, fair, and clear.
In conclusion, Artificial Intelligence is a fascinating and rapidly evolving field that promises to revolutionize countless industries and our daily lives. While AI offers exciting opportunities in nearly all industries of economy and many aspects of everyday lives, we must also address
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concerns related to job displacement, data privacy, and ethical decisionmaking. The discussions about the potential impact of AI should be ongoing in the society, which can make sure that AI works for the social good.
DEVELOPING PROFESSIONAL VOCABULARY WORKING OUT THE MEANING OF UNKNOWN WORDS
2. The following words in the box are all from the text above. Find them in the text.
spread |
pattern |
transformer |
accurately |
overlook |
3. For each word, read the sentence it occurs in and answer the questions:
a)Is the word positive, negative or neutral?
b)Is it a noun, adjective, adverb or verb?
c)Can you think of a word with a similar meaning (synonym) and one with an opposite meaning (antonym)?
AFTER READING TASKS
4.Answer the questions:
1.What is Artificial Intelligence (AI)?
2.What is machine learning, and how is it related to AI?
3.How is AI being used in the field of bioengineering?
4.How can AI revolutionize patient care in the medical field?
5.In which industry is AI being used to detect fraudulent activities?
6.How do self-driving cars equipped with AI systems reduce the risk of accidents?
7.How do Generative Pre-trained Transformers (GPT) models use deep learning techniques?
8.What are some potential uses of GPT models in various industries?
9.What are some concerns related to the use of AI in society?
10.How should society address the concerns and threats associated with AI?
5.Are the statements True (T), False (F), or Not Mentioned (NM) in the text?
1.AI is a recent development in technology.
2.AI can only be used in the healthcare industry.
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