Foram encontradas 46.462 questões.
3909384
Ano: 2025
Disciplina: Inglês (Língua Inglesa)
Banca: AMEOSC
Orgão: Pref. Belmonte-SC
Disciplina: Inglês (Língua Inglesa)
Banca: AMEOSC
Orgão: Pref. Belmonte-SC
Provas:
Brattleboro archeology project adds to historical
narrative of mill workers
BRATTLEBORO — Archeology along the recently
restored floodplain on Birge Street helps illustrate the rich
industrial history of Brattleboro.
"This research conducted has proven to be a valuable
dataset that contributes, in many ways, to shaping the
historical narrative of mill workers in Vermont," said
Danielle Duguid, project manager and principal
investigator with Hartgen Archeological Associates. "Most
importantly, it's added direct ties to the families who toiled
and prospered living in the lumber yard of the Holden &
Martin sawmill."
In a virtual event Thursday, Duguid presented information
about her group's discoveries. Hartgen was hired for
archeological work of the floodplain restoration project
now known as Kikitta Ahki, with funding from the town,
Vermont River Conservancy and Vermont Emergency
Management. The Brattleboro Historical Society provided
information.
Duguid said the archeological site was initially identified
during test excavations in 2018 during archeological
permitting for the floodplain restoration project.
"The plans for the larger project involve removing many
feet of modern and historic fill across the 12 acres of the
floodplain to allow natural flooding of the area and
prevent catastrophic flooding from overflowing into the
rest of downtown Brattleboro, which had occurred in
2011 following Hurricane Irene," she said. "Large scale
archeological excavations and research are conducted to
preserve as much of the information as possible before
the site gets destroyed by the planned development or
construction. The information and knowledge that's
gained from this effort is then gathered into a large
report, discussed with community and given to museums
to preserve the history for future generations."
Duguid said indigenous peoples began to set up
permanent settlements and built villages in the study
area. Her group found a few small fragments of stone
tools they used.
Brooks traveling the Connecticut River "provided ease of
transportation and more importantly hydropower for the
18th and 19th century settlers along the Whetstone
Brook," Duguid said.
"Dozens of saw mills, woolen factories, tanneries and
other water powered industries began to pop up during
the 18th and 19th century," she said. "Subsequent mill
operations ran adjacent to the study area from the 1830s
to the 1960s as well as in many more other locations."
John Birge, who the street was named for, constructed a
woolen mill in 1838. It changed hands over the years.
In the 19th century, David and Catherine Leahy bought 8
acres of the meadow right next to a mill to build their
home. The Irish immigrant couple ended up splitting up,
and their land and house were sold to the up-and-coming
Holden & Martin Milling Company in 1904. The home
housed families employed at the mill.
"With a reputation of investing in their employees,"
Duguid said of Holden & Martin, "they applauded
themselves on providing reasonable priced worker
housing throughout Brattleboro, utilizing a rent-to-own
model for any of their housing and never defaulting on a
loan."
Duguid counted a total of 5,968 architectural artifacts
found by her group during excavations. They included
wooden beams, slate shingles, window glass, nails,
hardware and bricks. These materials "vastly
outnumbered the domestic and personal assemblages,"
Duguid said.
A total of 4,300 nails were catalogued. They're "actually
particularly useful for historic archeologists as the shapes
and sizes are diagnostic," Duguid said.
Slate discovered by her group was "definitely local to the
area," Duguid said. They made the determination based
off its color.
"Faunal remains were found throughout the site as well,
helping archeologists understand what the families at the
Leahy home were consuming," she said. "Through
looking at the bones, researchers can determine the
species and also examine cut marks and butcher marks
for information about how animals were processed."
Duguid said bones from cattle, pig, sheep, goat and
horse bones were identified in the approximately 300
final remains analyzed.
Personal items discovered included tobacco pipe stems,
leather shoes, children's toys, burnt vinyl records and a
rosary. Duguid suggested the large number of toys at the
site may indicate they were used to distract families from
the dangers of the nearby mill.
https://www.reformer.com/local-news/brattleboro-archeology-project-ad
ds-to-historical-narrative-of-mill-workers/article_77f635b9-7b4b-4706-b9
85-66a79d767c62.html
Provas
Questão presente nas seguintes provas
Since the 1950s, researchers, inventors and
entrepreneurs have been fascinated by the idea of
Artificial Intelligence (AI) to replicate human behaviour
and thinking into technology. Over time AI has evolved to
mimic human behaviour in information technology (IT)
with key milestones like machine learning, natural
language processing and understanding, generative AI
and orchestrating decision making and now the latest
advancement: agentic AI.
Today, AI is not just a technology but a critical
part of modern IT strategies. AI in the IT industry has been
a transformative force, automating tasks, analysing vast
amounts of data and improving operational processes. By
using AI for ITSM, organisations can adapt to a changing
technology landscape and complex digital environments
and keep their IT infrastructure future proof.
AI has come a long way from theory to software
to recent innovations like machine learning (ML). ML is
about developing AI algorithms and models that help
systems learn and make decisions based on patterns and
relationships in data. Instead of programming each decision
manually, systems can make decisions on their own based
on large amounts of data. Continuous learning on data
allows systems to get better over time. At the next level
is natural language processing (NLP), a branch of machine
learning that’s about interpreting human language and
generating intelligent and contextual responses. By using
ML algorithms on language, machines can do things
like response generation, speech recognition, language
translation and more. NLP is the foundation for modern
day chatbots that can understand user intent and generate
responses to user requests.
AI is revolutionizing ITSM by introducing innovative
solutions such as an AI service desk that enhances IT
operations. With automated ticket triaging, routing,
deflection, and process automation, organizations can
streamline tasks that IT agents encounter daily.
By providing agents with agent assist capabilities
and an AI Copilot, organizations can reduce redundant
and repetitive service tasks and improve productivity,
thereby minimizing the need for human intervention
in these repetitive tasks. With AIOps, organizations can
also stay ahead of potential incidents and outages with
proactive detection and remediation, as well as automated
incident management.
AI also plays a big role in software development
and testing. It helps quality assurance teams by generating
test cases and predicting defects. This means they can catch
and fix bugs much earlier which prevents bigger issues
down the line. When it comes to data center security,
computer vision is a powerful tool. It allows systems to
analyze images and videos to monitor infrastructure and
spot anything unusual. Additionally, machine learning
models can analyze network traffic in real time to detect
cyber threats and fraud and allow teams to respond quickly
and protect their systems.
Internet:<aisera.com> (adapted).
Provas
Questão presente nas seguintes provas
Since the 1950s, researchers, inventors and
entrepreneurs have been fascinated by the idea of
Artificial Intelligence (AI) to replicate human behaviour
and thinking into technology. Over time AI has evolved to
mimic human behaviour in information technology (IT)
with key milestones like machine learning, natural
language processing and understanding, generative AI
and orchestrating decision making and now the latest
advancement: agentic AI.
Today, AI is not just a technology but a critical
part of modern IT strategies. AI in the IT industry has been
a transformative force, automating tasks, analysing vast
amounts of data and improving operational processes. By
using AI for ITSM, organisations can adapt to a changing
technology landscape and complex digital environments
and keep their IT infrastructure future proof.
AI has come a long way from theory to software
to recent innovations like machine learning (ML). ML is
about developing AI algorithms and models that help
systems learn and make decisions based on patterns and
relationships in data. Instead of programming each decision
manually, systems can make decisions on their own based
on large amounts of data. Continuous learning on data
allows systems to get better over time. At the next level
is natural language processing (NLP), a branch of machine
learning that’s about interpreting human language and
generating intelligent and contextual responses. By using
ML algorithms on language, machines can do things
like response generation, speech recognition, language
translation and more. NLP is the foundation for modern
day chatbots that can understand user intent and generate
responses to user requests.
AI is revolutionizing ITSM by introducing innovative
solutions such as an AI service desk that enhances IT
operations. With automated ticket triaging, routing,
deflection, and process automation, organizations can
streamline tasks that IT agents encounter daily.
By providing agents with agent assist capabilities
and an AI Copilot, organizations can reduce redundant
and repetitive service tasks and improve productivity,
thereby minimizing the need for human intervention
in these repetitive tasks. With AIOps, organizations can
also stay ahead of potential incidents and outages with
proactive detection and remediation, as well as automated
incident management.
AI also plays a big role in software development
and testing. It helps quality assurance teams by generating
test cases and predicting defects. This means they can catch
and fix bugs much earlier which prevents bigger issues
down the line. When it comes to data center security,
computer vision is a powerful tool. It allows systems to
analyze images and videos to monitor infrastructure and
spot anything unusual. Additionally, machine learning
models can analyze network traffic in real time to detect
cyber threats and fraud and allow teams to respond quickly
and protect their systems.
Internet:<aisera.com> (adapted).
Provas
Questão presente nas seguintes provas
Since the 1950s, researchers, inventors and
entrepreneurs have been fascinated by the idea of
Artificial Intelligence (AI) to replicate human behaviour
and thinking into technology. Over time AI has evolved to
mimic human behaviour in information technology (IT)
with key milestones like machine learning, natural
language processing and understanding, generative AI
and orchestrating decision making and now the latest
advancement: agentic AI.
Today, AI is not just a technology but a critical
part of modern IT strategies. AI in the IT industry has been
a transformative force, automating tasks, analysing vast
amounts of data and improving operational processes. By
using AI for ITSM, organisations can adapt to a changing
technology landscape and complex digital environments
and keep their IT infrastructure future proof.
AI has come a long way from theory to software
to recent innovations like machine learning (ML). ML is
about developing AI algorithms and models that help
systems learn and make decisions based on patterns and
relationships in data. Instead of programming each decision
manually, systems can make decisions on their own based
on large amounts of data. Continuous learning on data
allows systems to get better over time. At the next level
is natural language processing (NLP), a branch of machine
learning that’s about interpreting human language and
generating intelligent and contextual responses. By using
ML algorithms on language, machines can do things
like response generation, speech recognition, language
translation and more. NLP is the foundation for modern
day chatbots that can understand user intent and generate
responses to user requests.
AI is revolutionizing ITSM by introducing innovative
solutions such as an AI service desk that enhances IT
operations. With automated ticket triaging, routing,
deflection, and process automation, organizations can
streamline tasks that IT agents encounter daily.
By providing agents with agent assist capabilities
and an AI Copilot, organizations can reduce redundant
and repetitive service tasks and improve productivity,
thereby minimizing the need for human intervention
in these repetitive tasks. With AIOps, organizations can
also stay ahead of potential incidents and outages with
proactive detection and remediation, as well as automated
incident management.
AI also plays a big role in software development
and testing. It helps quality assurance teams by generating
test cases and predicting defects. This means they can catch
and fix bugs much earlier which prevents bigger issues
down the line. When it comes to data center security,
computer vision is a powerful tool. It allows systems to
analyze images and videos to monitor infrastructure and
spot anything unusual. Additionally, machine learning
models can analyze network traffic in real time to detect
cyber threats and fraud and allow teams to respond quickly
and protect their systems.
Internet:<aisera.com> (adapted).
Provas
Questão presente nas seguintes provas
Since the 1950s, researchers, inventors and
entrepreneurs have been fascinated by the idea of
Artificial Intelligence (AI) to replicate human behaviour
and thinking into technology. Over time AI has evolved to
mimic human behaviour in information technology (IT)
with key milestones like machine learning, natural
language processing and understanding, generative AI
and orchestrating decision making and now the latest
advancement: agentic AI.
Today, AI is not just a technology but a critical
part of modern IT strategies. AI in the IT industry has been
a transformative force, automating tasks, analysing vast
amounts of data and improving operational processes. By
using AI for ITSM, organisations can adapt to a changing
technology landscape and complex digital environments
and keep their IT infrastructure future proof.
AI has come a long way from theory to software
to recent innovations like machine learning (ML). ML is
about developing AI algorithms and models that help
systems learn and make decisions based on patterns and
relationships in data. Instead of programming each decision
manually, systems can make decisions on their own based
on large amounts of data. Continuous learning on data
allows systems to get better over time. At the next level
is natural language processing (NLP), a branch of machine
learning that’s about interpreting human language and
generating intelligent and contextual responses. By using
ML algorithms on language, machines can do things
like response generation, speech recognition, language
translation and more. NLP is the foundation for modern
day chatbots that can understand user intent and generate
responses to user requests.
AI is revolutionizing ITSM by introducing innovative
solutions such as an AI service desk that enhances IT
operations. With automated ticket triaging, routing,
deflection, and process automation, organizations can
streamline tasks that IT agents encounter daily.
By providing agents with agent assist capabilities
and an AI Copilot, organizations can reduce redundant
and repetitive service tasks and improve productivity,
thereby minimizing the need for human intervention
in these repetitive tasks. With AIOps, organizations can
also stay ahead of potential incidents and outages with
proactive detection and remediation, as well as automated
incident management.
AI also plays a big role in software development
and testing. It helps quality assurance teams by generating
test cases and predicting defects. This means they can catch
and fix bugs much earlier which prevents bigger issues
down the line. When it comes to data center security,
computer vision is a powerful tool. It allows systems to
analyze images and videos to monitor infrastructure and
spot anything unusual. Additionally, machine learning
models can analyze network traffic in real time to detect
cyber threats and fraud and allow teams to respond quickly
and protect their systems.
Internet:<aisera.com> (adapted).
Provas
Questão presente nas seguintes provas
A British Airways Pilot Was Sucked Out of An Airplane
Natalie Musumenci
(Available at: https://www.businessinsider.com/british-airways-pilot-sucked-out-plane-mid-flight-survived2024-1 – text specially adapted for this test).
*Windscreen panel: it is the glass window at the front of the plane through which the pilots look.
*Cockpit: the front part of the plane where the pilot sits.
(Available at: www.collinsdictionary.com).
Provas
Questão presente nas seguintes provas
A British Airways Pilot Was Sucked Out of An Airplane
Natalie Musumenci
(Available at: https://www.businessinsider.com/british-airways-pilot-sucked-out-plane-mid-flight-survived2024-1 – text specially adapted for this test).
*Windscreen panel: it is the glass window at the front of the plane through which the pilots look.
*Cockpit: the front part of the plane where the pilot sits.
(Available at: www.collinsdictionary.com).
Provas
Questão presente nas seguintes provas
A British Airways Pilot Was Sucked Out of An Airplane
Natalie Musumenci
(Available at: https://www.businessinsider.com/british-airways-pilot-sucked-out-plane-mid-flight-survived2024-1 – text specially adapted for this test).
*Windscreen panel: it is the glass window at the front of the plane through which the pilots look.
*Cockpit: the front part of the plane where the pilot sits.
(Available at: www.collinsdictionary.com).
Provas
Questão presente nas seguintes provas
A British Airways Pilot Was Sucked Out of An Airplane
Natalie Musumenci
(Available at: https://www.businessinsider.com/british-airways-pilot-sucked-out-plane-mid-flight-survived2024-1 – text specially adapted for this test).
*Windscreen panel: it is the glass window at the front of the plane through which the pilots look.
*Cockpit: the front part of the plane where the pilot sits.
(Available at: www.collinsdictionary.com).
Provas
Questão presente nas seguintes provas
A British Airways Pilot Was Sucked Out of An Airplane
Natalie Musumenci
(Available at: https://www.businessinsider.com/british-airways-pilot-sucked-out-plane-mid-flight-survived2024-1 – text specially adapted for this test).
*Windscreen panel: it is the glass window at the front of the plane through which the pilots look.
*Cockpit: the front part of the plane where the pilot sits.
(Available at: www.collinsdictionary.com).
I. He has few memories of being outside the airplane.
II. Tim Lancaster sustained nearly fatal injuries.
III. He retired immediately after the accident.
Which ones are correct?
Provas
Questão presente nas seguintes provas
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