experiment full izle

Deney izle The Experiment (2010)

Deney Filminin Bilgileri

Alman yapımı aynı adlı filmden uyarlanan bu filmde 26 kişi, psikolojik bir deney için gardiyan ve mahkum rolünü oynamaya başlarlar... Deneyin devamında olaylar karmaşık bir boyuta ulaşacak ve kontrolden çıkacaktır

Deney Filmini Sevenlere Öneriler

Yorumlar (4)

1 ay önce

Gerek yok 🤕

4 ay önce

Demek olarki qorxu yoxdu.Psixoloji filmdi.Coxda maraqli deyildi yeni

7 ay önce

Film çok iyi ama nedende benim piskolojim bozuldu ))

1 yıl önce

konusu saçma işleyişi güzel gerilim filmiydi

10 ay önce

saçma mı? konusu gerçek hayattan. bil istedim.

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güzel filim izlenir

tavsiye ederim film izlemeyi sevenler için

sürükleyici

Çok iyi bir film,gerilim dolu.

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Belko Deneyi

• Yapım Yılı 2016 Film izle
• Ülke United States
• Film Süresi 89 dakika

Belko adı ile bilinen ve Güney Amerika’da diğer Amerikan şirketlerine aracı olan ve sorunlarını gideren şirkette korkunç bir deney yapılacaktır ve bu da deneyde insanlık bir kere daha teste tabi tutulacaktır. 4k film formatıyla da izleyeceğiniz dublajı da yapılan ve orijinal adı  The Belko Experiment  olan filmde Adria Arjona, John Gallagher Jr. ve Tony Goldwyn filmin başrol oyuncu kadrosunu oluşturan simalardır.  Belko Deneyi   adıyla da sitemizde yer alan filmde Greg McLean yönetmen koltuğundaki, James Gunn ise senarist koltuğundaki isimdir. 

Belko çalışanları sabah işe geldiklerinden güvenlik ekibinin değiştiğini ve gelen bazı çalışanların da evlerine geri yollandıklarını görmelerine rağmen bu durumları sorgulamazlar. Çalışanlar neler olup bittiğini anlamasalar da günlük işlerine sanki bir şey yokmuş gibi başlarlar. Fakat kısa bir süre sonra tüm bina genelinde yapılan bir bildiri herkesin kanını dondurur. Bu bildiri de ise birkaç saniye sonra herkesin bir kişi öldürmesi gerektiği, aksi takdirde bildiriyi yapan kişilerin bizzat istedikleri kişileri öldürecekleri söylenir. Herkes şok geçirmiştir ve herkes saniyelerin bitmesini bekler. Saniyeler bittiğinde ise büronun içinde bir çalışanın kafası patlar ve oracıkta can verir. 

Güney Amerika’da yaşanan şirket yetkililerinin kaçırılması ile sonlanan birçok olaydan sonra bu bölgede şirket çalışanlarının enselerine bir çip takılıp, gerektiği zamanda takip edilmelerini sağlamaları amacı ile bir uygulama başlatılmıştır. İşte bu yüzden şirketteki herkesin ensesinde bu çipten vardır ancak tek bir farkla. Bu çalışanlara takılan çipler takip değil öldürme amacı ile takılan çiplerdir. Bu yüzden de bildiriyi yapan kişilerde tam bir kontrol bulunmaktadır. Şimdi ise sıra hayatta kalan çalışanların ne yapacaklarına gelmiştir. Bu kişilerin sözlerini dinleyip bir katliam mı başlayacaktır yoksa herkes bir araya gelip mantıklı bir kurtuluş yolu mu arayacaklardır? Ya siz olsaydınız ne yapardınız, herkesi öldürüp başkalarının insafına mı kendinizi bırakırdınız yoksa başka bir kaçış yolu mu arardınız?

İlginizi çekebilecek diğer filmler

Film hakkındaki düşüncelerinizi paylaşın

Kariyeri boyunca şu ana kadar toplam 1 kısa metraj, 5 uzun metraj filme adını yazdıran fazla deneyimi olmayan Avustralya’lı yönetmenden Greg Mclean’dan orta seviyelerde bir gerilim filmi. Filmin başrol oyunculuğunu üstlenen (39 sinema filmi oyunculuğu, 37 TV dizisi oyunculuğu ve 19 film yönetmenliği) ve unutulmaz filmler arasına girmeyi başaran Ghost (1990-Patrick Swayze, Demi Moore, Whoopi Goldberg, Tony Goldwyn) filmindeki kusursuz performansı ile tüm dünyaya adını duyurmayı başaran, deneyimli aktör/direktör Tony Goldwyn’nin filmdeki performansı her ne kadar da çok başarılı olmuş olsa da diğer oyuncuların performansları ne yazık biraz zayıf kalmış. Yine de film, giderek artan heyecan katsayı ile baştan sona kadar kendini izlettirmeyi başarıyor. Çok fazla beklenti içerisine girmeden izlemenizi tavsiye ederim. Keyifli seyirler dilerim, arkadaşlar.

vaybe bu nasil senaryo ve bu nasil bir yasamak icin herkez birbirini öldürüyor. ilginc bir film izlemeye deyer tesekkür ederim admin selam ve saygilar.

GAMZEE yeter artık filmlerin altına boş ve uzun yorumlar yapmaktan vazgeç artık. Film sence güzel mi değilmi evet mi hayırmı sadece bunu yaz. Bir yerlerden kopyala yapıştır yapmışsın gibi bi halin var hangi filme göz atsam yine sen ve boş yorumların. Kime neyi ispatlamamaya çalışıyorsun valla gına geldi artık buna bi dur demek istedim.

Süper film kesinlikle izleyin

Ör: Recep İvedik 6 , Kirpi Sonic 2 , Fantastic Beasts The Secrets Of Dumbledore

• Koleksiyona ekle

2001 tarihli Alman yapımı Deney (Das Experiment) filmine Amerika'nın 2010 yılındaki yorumu diyebileceğimiz bu uyarlama bir psikolojik gerilim denemesi. Filmde, 26 kişi psikolojik bir deney için gardiyan ve tutuklu rolüne bürüneceklerdir. Deneyin devamında olaylar karmaşık bir boyuta ulaşacak ve kontrolden çıkacaktır. ABD versiyonunda Brody mahkûmların liderini, Whiteaker ise gücün yozlaştırdığı, sistemin kölesi bir gardiyanı canlandırıyor.

Beyazperde Eleştirisi

The Experiment

İzleyici eleştirisi: sevdiler

Takipçi 2.129 değerlendirmeler Takip Et!

Takipçi 430 değerlendirmeler Takip Et!

Takipçi 187 değerlendirmeler Takip Et!

Takipçi 182 değerlendirmeler Takip Et!

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Teknik bilgiler

Bu filmi beğendiysen, şunlara da göz at:.

Esaretin Bedeli

Parmaklıklar Arasında

Şeytan Adasının Kralı

Bu filmi sevdiyseniz, şunlar da ilginizi çekebilir: : Yılın en iyi filmleri 2010 , En iyi film: Dram , {Genre} türündeki en iyi filmler : 2010 .

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The Belko Experiment (2016)

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The Experiment (2010)

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• Higgs boson
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Physics beyond the imaginable

The CMS experiment is developing a new type of trigger that looks for anomalies.

As far back as he can remember, Abhijith Gandrakota has felt a natural pull toward physics. “For me, it’s a fundamental thing,” he says. “It’s simple.”

As an undergraduate he was drawn to theory, but he quickly switched to experiment.

“Theory was good, but I was driven to experimental particle physics because even if I write a theory, someone has to test it anyway,” says Gandrakota, who is now a postdoc at the US Department of Energy’s Fermi National Accelerator Laboratory. “I’d rather be the person who tests and finds stuff than the person who predicts it.”

But he never lost his soft spot for theoretical physics. Today, Gandrakota and his colleagues on the CMS experiment are developing a machine-learning tool that will allow theorists even more freedom and creativity.

Instead of hunting for specific signatures of new physics in the data the CMS detector collects from collisions in the Large Hadron Collider, the new tool will search for rare anomalies. “It’s a bottom-up approach,” he says. “We can show theorists all the weird things that are happening and try to understand what theories could describe them.”

According to Fermilab fellow Jennifer Ngadiuba, it’s a paradigm shift. “It’s the most interesting problem we can tackle,” she says. “Now is the time to do it.”

At the International Conference for High Energy Physics in July, the team presented the first dataset collected using their anomaly-detection tool. “We are now taking data after several years of development by many different people,” Ngadiuba said during the presentation. “It’s actually triggering on unique events that would be lost otherwise.”

The next step is to analyze the data and see if any unexpected patterns emerge. Ngadiuba, Gandrakota and their colleagues hope that this new data sorting mechanism will expand the reach of the CMS experiment beyond the limits of the human imagination and give theorists the ability to think about physics in a new way.

Anomaly detection

The vast majority of collisions in the LHC—more than 99.99%—produce particles and physical phenomena that were more interesting 50 years ago but today are well understood. What physicists are really interested in is rarity—the one-in-a-billion event that shows something new or unexpected. Luckily, one-in-a-billion is a regular occurrence at the LHC; the CMS experiment views about a billion proton-proton collisions every second. 

To sort the exceptional from the mundane, scientists install trigger systems in their detectors. Triggers are a series of data filters that gradually tease out the events that look interesting from those that look average. Because computing resources are limited, events that don’t make the cut are immediately thrown away.

“It’s like a pipe; only a certain amount of water can flow through it,” Gandrakota says. “If there’s too much water, the pipe will burst.”

Saving only the best specimens keeps the data flowing, but it also causes physicists anxiety. “If we don’t record it, it’s gone forever,” says Javier Duarte, a professor at the University of California, San Diego. 

Currently, physicists have a list of around 100 features that qualify an event as interesting enough to save. For instance, because the most exciting types of physics often involve particles with a huge mass, the triggers are programmed to look for their decay products: an eruption of massive and high-energy particles all coming from a single origin. (Events with just a few sparkles in the calorimeter are chucked.)

However, physicists know that new particles won’t necessarily all be goliaths like the Higgs boson and top quark; new particles could be slipping through the cracks simply because of their masses. “We cannot see things that are below a certain energy because we do not trigger on those events,” Ngadiuba says. “We’re starting to think about new physics models that have particles with a very low energy.”

According to Ngadiuba, the problem with triggering on low-energy events is that nobody knows what defining characteristics could separate potentially interesting signatures from the millions of “uninteresting” collisions that also produce low-energy particles.

That’s why anomaly detection flips the script.

“We normally start by looking for a theory: seeing if one kind of particle exists,” Gandrakota says. “We were always siloed looking for a specific thing. But what if we do the opposite: What if we search for background and trigger on anything that looks weird?”

It’s in the air

Ngadiuba started her career in physics by building and testing particle detectors for CMS but made the switch to machine learning during a postdoc at CERN in 2017. “Things are changing in society,” Ngadiuba says. “Facial recognition, chatbots, self-driving cars; it’s in the air.” 

Like a self-driving car, an anomaly-detection trigger must cruise along unencumbered when everything is as expected and then quickly react when something strange happens. But whereas a self-driving car must react within seconds, an anomaly detection trigger must react within nano seconds. “In many ways, it’s even more challenging than a self-driving car,” Ngadiuba says.

In Ngadiuba’s original feasibility study, CMS scientists had been able to get close to the necessary speed, but not close enough. They needed people power and support from the experiment to push beyond this threshold.

Gandrakota arrived at Fermilab in 2021 as a postdoc. He had dabbled in anomaly detection before, but his hopes were tempered by its seeming lack of feasibility. “It was on my radar, but I was skeptical,” he says. “People have been discussing anomaly detection since 2018, but it’s always been with data that was already recorded and never at the triggering level. I didn’t think it was possible to implement anomaly detection into the trigger before the end of LHC Run 3.”

Then he saw one of the papers Ngadiuba contributed to on that very topic. “Not only was it possible,” he says, “but they demonstrated that we can do this for the current data-taking period at CMS.

“It was inspiring; we can make an impact right now rather than a few years later.” 

Gandrakota reached out to Ngadiuba to see how he could get involved.

Building a team

Ngadiuba and Gandrakota started by presenting the idea during CMS meetings. They caught the attention of several professors, who joined the project and offered help from their postdocs and graduate students.

“As we convinced more and more people, it became easier,” Gandrakota says. “Many people took on an active role in this project.”

One of those new team members was University of Colorado graduate student Noah Zipper. “It’s rare that we come up with an idea this new,” Zipper says. “I jumped at the chance to work on it.”

After building the team, the next step was research and development. “We needed to explore all the possibilities of what can be done and how to make the algorithm better,” Gandrakota says.

They needed to teach their machine-learning algorithm how to identify “this looks normal” from “this looks weird.” 

To do this, the scientists fed the algorithm real data and had it look for patterns. “As humans, if we see a car on the road, we immediately know that it’s a car.” Gandrakota says. “We learn what a car looks like when we’re little kids; we don’t need to know the brand or the model to give it that label.”

The algorithm was exposed to 10 million collisions that were randomly recorded by CMS. Instead of telling the algorithm what looks weird, the scientists let the algorithm figure it out for itself.

“If we’ve seen thousands of cars on the road, we expect to see more cars. But if we suddenly see someone riding a horse, that would register as weird,” Gandrakota says. “Our trigger works the same way.”

To make the algorithm fast, they played with data compression. The LHC produces around one petabyte of data every second. As the data is processed in the neural network, it gains in complexity, which slows everything down. The question was how to minimize complexity without losing accuracy.

“A neural network [a type of machine learning] is a bunch of multiplications and additions,” Ngadiuba says. “If we round 3.001 to 3, it doesn’t matter because the result is still the same. But if we round 0.001 to 0, you start losing precision and this gets propagated throughout the neural network.”

To work through this problem, Ngadiuba and her colleagues partnered with Google on a new tool called QKeras, which allowed them to minimize their computing footprint while maximizing their accuracy.

Next came marrying the algorithm with the hardware. Most personal computers use CPUs, or computing processing units, which are very powerful, but cannot operate on a nanosecond timescale. Since the trigger has less than 50 nanoseconds to make a decision, the team had to program the machine-learning algorithms onto Field Programmable Gate Arrays, or FPGAs. 

“FPGAs operate like an assembly line; instead of one person working on the full problem, there are many people working in parallel on different parts of the problem,” Ngadiuba says.

But FPGAs can be very difficult to program. “A few years ago, we would have needed really experienced electrical engineers to do this,” Zipper says.

Luckily, Ngadiuba, Duarte and their colleagues had recently developed a tool that allows physicists to program FPGAs directly without needing external expertise. “We can use standard machine-learning 101 code and put it on a chip that reads data 40 million times a second and makes decisions within 50 nanoseconds,” Zipper says. “It’s remarkable that they developed something like that.”

Finally, it was time to gauge its performance. “Before we use it to collect data, we need to make sure it doesn’t break the data pipeline,” Gandrakota says. “We had to test it to make sure it was sustainable.”

The team installed their tool on a special server in the CMS cavern where it could watch and evaluate the LHC collisions without actually recording any data. This was an important proof-of-principle step since no experiment had ever attempted something similar.

“If something goes wrong, it’s a big deal,” Zipper says. “The window for data-taking is relatively short compared to the lifetime of these experiments, and so when collisions are happening, the trigger system has to be working.”

After a successful test drive, the team had a few months to finalize their tool before installing it directly into the CMS trigger system. By May, they were live.

According to Duarte, anomaly detection can be up to seven times more powerful than traditional methods at finding and isolating the signals of new particles. “This shows how powerful this can be when you’re not sure what signal you’re looking for,” Duarte said at ICHEP.

From the quadrillions of collisions generated by the LHC this spring and summer, the tool has already collected roughly 3 billion events. “When we looked at the data it collected, there were no weird spikes or dead time,” Zipper says. “This is what we wanted.”

According to Ngadiuba, anomaly detection will change the conversation with the theory community.

“Theorists normally build models based on what the detector can see and what we’re already able to trigger on—not necessarily based on the physics motivation,” Ngadiuba says. “We’re now asking theorists what theoretical models our detector is not able to see because of the trigger. It’s a completely new way of thinking.”

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JSmol Viewer

Design and experiment of double-nest eye-type hole-wheel dense-planting wheat dibbler, 1. research highlights.

• We designed the overall structure and key components of a double-hole-type hole-wheel close-planting wheat dibbler.
• The filling condition of the double-socket seeder was verified byEDEM 2020 discrete element simulation.
• Through EDEM 2020 and RecurDyn 2023 joint simulation, the working performance of the dibbler was verified.
• The results of the bench test showed that the designed dense-planting wheat dibbler meets the standard of a high yield and dense planting of “well”-type wheat.

2. Introduction

3. overall structure and working principle, 3.1. overall structure of hole seeder, 3.2. working principle, 4. key component design, 4.1. structural design of seed collection mechanism, 4.2. structural design of “mosaic structure” seed collection unit, 4.2.1. seed base block structure design, 4.2.2. structural design of seeding floor track, 4.3. hole-wheel-type structural design, 4.3.1. dimensional design of double socket seed taker, 4.3.2. selection of double-socket shape, 4.4. structural design of cavitation device, 4.4.1. quantity design of cavitation devices, 4.4.2. calculation of coincidence degree of cavitation device, 4.4.3. pressure angle of cavitation device, 4.4.4. simulation analysis of burrowing performance of burrowing device in soil, 4.5. design of wave guide rail, 5. experimental verification, 5.1. test equipment, 5.2. test indicators, 5.3. central composite design, 5.4. test results and analysis, 5.5. parameter optimization and bench verification test, 6. conclusions, author contributions, data availability statement, conflicts of interest.

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Share and Cite

Fu, X.; Yan, L.; Wang, L.; Jiang, D.; Tian, X.; Wu, T.; Zhang, J. Design and Experiment of Double-Nest Eye-Type Hole-Wheel Dense-Planting Wheat Dibbler. Agriculture 2024 , 14 , 1489. https://doi.org/10.3390/agriculture14091489

Fu X, Yan L, Wang L, Jiang D, Tian X, Wu T, Zhang J. Design and Experiment of Double-Nest Eye-Type Hole-Wheel Dense-Planting Wheat Dibbler. Agriculture . 2024; 14(9):1489. https://doi.org/10.3390/agriculture14091489

Fu, Xuanhe, Limin Yan, Long Wang, Deli Jiang, Xinliang Tian, Tao Wu, and Jinhao Zhang. 2024. "Design and Experiment of Double-Nest Eye-Type Hole-Wheel Dense-Planting Wheat Dibbler" Agriculture 14, no. 9: 1489. https://doi.org/10.3390/agriculture14091489

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My Hero Academia: You're Next

Izuku Midoriya, a U.A. High School student who aspires to be the best hero he can be, confronts the villain who imitates the hero he once admired. Izuku Midoriya, a U.A. High School student who aspires to be the best hero he can be, confronts the villain who imitates the hero he once admired. Izuku Midoriya, a U.A. High School student who aspires to be the best hero he can be, confronts the villain who imitates the hero he once admired.

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How Brazil’s Experiment Fighting Fake News Led to a Ban on X

To combat disinformation, Brazil gave one judge broad power to police the internet. Now, after he blocked X, some are wondering whether that was a good idea.

By Jack Nicas and Kate Conger

Jack Nicas reported from Rio de Janeiro, and Kate Conger from San Francisco.

As Brazil grappled with a flood of online disinformation around its 2022 presidential election, the nation’s Supreme Court made an unusual and fateful decision : It gave one justice sweeping powers to order social networks to take down content he believed threatened democracy.

That justice, Alexandre de Moraes , has since carried out an aggressive campaign to clean up his country’s internet, forcing social networks to pull down thousands of posts, often giving them a deadline of just hours to comply.

It has been one of the most comprehensive — and, in some ways, most effective — efforts to combat the scourge of internet falsehoods. When his online crackdown helped stifle far-right efforts to overturn Brazil’s election, academics and commentators wondered whether the nation had found a possible solution to one of the most vexing problems of modern democracy.

Then, on Friday, Justice Moraes blocked the social network X across Brazil because its owner, Elon Musk , had ignored his court orders to remove accounts and then closed X’s office in Brazil. As part of the blackout order, the judge said internet users who tried to circumvent his measure in order to keep using X could be fined nearly $9,000 a day, or more than what the average Brazilian makes a year.

It was the judge’s boldest measure yet, and it left even many of his defenders worried that Brazil’s experiment had gone too far.

“I was someone who was very on his side,” said David Nemer, a Brazilian-born media professor who has studied his nation’s approach to disinformation at the Berkman Klein Center for Internet & Society at Harvard University.

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Seven swing states set to decide the 2024 US election

About 240 million people are eligible to vote in this year’s US election, but only a relatively small number of them are likely to settle the question of who becomes the next president.

Experts believe there are only a handful of states that could plausibly be won by Kamala Harris or Donald Trump, for the Democrats or Republicans respectively.

Seven of them - Arizona, Georgia, Michigan, Nevada, North Carolina, Pennsylvania and Wisconsin - could hold the key to the White House.

Now, in the final months of the election, both campaigns are at full throttle to win over undecided voters in these states.

The Democrats gained the presidency in 2020 with the support of the Grand Canyon State, which narrowly voted to back their party's candidate for the first time since the 1990s.

This state borders Mexico for hundreds of miles, and has become a focal point of the nation’s immigration debate.

Border crossings have fallen in recent months from record highs which have made the issue near the top of voters' concerns.

Trump has repeatedly attacked Ms Harris’s record on immigration , because she was given a role by President Joe Biden in trying to ease the border crisis.

He has also vowed to carry out “the largest deportation operation” in US history if he regains the presidency.

Arizona has also hosted a bitter row over abortion access , after state Republicans attempted to reinstate a 160-year-old near-total ban on terminating pregnancies, but were foiled.

The issue has become an explosive one nationwide since 2022 when the US Supreme Court overturned a landmark ruling that gave women the constitutional right to abortion.

Our list of swing states closely matches the list of places where Trump-backed Republican officials tried to thwart Mr Biden’s win in the 2020 election.

In Georgia's Fulton County, alleged election interference has landed Mr Trump in one of his four criminal prosecutions (Trump has been convicted in one case, while the remaining are ongoing).

He and 18 others are accused of conspiring to overturn his narrow defeat to Mr Biden in the state. Trump denies any wrongdoing, and the case looks increasingly unlikely to be heard in court before the election.

A third of Georgia's population is African-American, one of the country’s largest proportions of black residents, and it is believed that this demographic was instrumental in Mr Biden flipping the state in 2020.

Some disillusionment with Mr Biden had been reported among America’s black voters , but the Harris campaign hopes to animate this constituency.

The Great Lakes state has picked the winning presidential candidate in the last two elections. Despite backing Mr Biden in 2020, it has become symbolic of a nationwide backlash over the president’s support for Israel during that country’s war in Gaza .

During Michigan’s Democratic primary contest in February, more than 100,000 voters chose the “uncommitted” option on their ballots, part of a campaign mounted by activists who want the US government to halt its military aid to Israel.

Notably, Michigan has the country’s largest proportion of Arab-Americans - a demographic whose support for Mr Biden was in jeopardy. But Ms Harris has taken a harder tone on Israel, and some Gaza protesters have told the BBC they hope she will be more sympathetic to their cause.

Trump has highlighted the state’s significance in his potential path to victory. Commenting on events in the Middle East, he has called on Israel to finish its campaign over Hamas in Gaza, but "get it over with fast”.

The Silver State has voted Democrat for the last several elections, but there are signs of a possible turnaround by the Republicans.

Recent averages published by poll-tracking firm 538 indicate that polls once showed Trump enjoying a wide lead over Mr Biden, but that advantage has shrunk since Ms Harris became the top of the ticket. Democrats had hoped a candidate with greater appeal to younger and more diverse voters would close the gap.

Both candidates are vying to win the state’s sizeable Latino population .

Despite the fact that the US economy has shown strong growth and jobs creation since Mr Biden took the presidency, the post-Covid recovery has been slower in Nevada than elsewhere.

At 5.1%, the state has the highest unemployment rate in the country, after California and the District of Columbia, according to the latest US government statistics.

If Trump comes to power again, he has vowed a return to an agenda of lower taxes across the board, and fewer regulations.

North Carolina

Polls appear to have tightened in the Tar Heel State after Ms Harris assumed her place at the top of the Democratic ticket, and some analysts now call it a "toss-up".

That has perhaps been reflected in Trump's choice to go there for his first outdoor rally since an attempt was made on his life in July.

“This state is a very, very big state to win," he told the crowd.

For their part, the Democrats decided to give a platform to the state's governor, Roy Cooper, on the final night of their party convention.

North Carolina borders Georgia, and shares some of its top electoral concerns, as well as those in Arizona, another Sun Belt state.

Trump carried North Carolina in 2020 but did so by just over 70,000 votes, which has further buoyed Democrats' hopes that this "purple" state (one that could vote red or blue) could be winnable in this election year.

Pennsylvania

Both sides have also been campaigning doggedly in the Keystone state, which is where Donald Trump survived the assassination attempt.

The state proved pivotal in the 2020 election, backing Mr Biden. He has a deep emotional connection to the working-class city of Scranton, where he grew up.

The economy is a a top issue here, as well as many other places. Inflation spiked across the country under the Biden administration, before gradually reducing.

Pennsylvanians are far from unique among Americans for feeling cost-of-living pressures as a result of inflation. But the price of groceries has risen faster in their state than in any other, according to market intelligence provider Datasembly.

The BBC has previously reported on how people were struggling to cope in Erie - a bellwether county for the rest of Pennsylvania, where as many as one in eight people are considered “food insecure”.

High inflation could hurt Ms Harris across the US as polling suggests it is giving voters an unfavourable view of the economy.

Trump has sought to attack her by pinning her to the Biden economy.

The Badger State also picked the winning presidential candidate in both 2016 and 2020, by a margin of little more than 20,000 votes each time.

Pundits have suggested it is in marginal states like this one where an impact could be made by third-party candidates who are campaigning against the policies of the big two candidates.

Polling has indicated that a sizeable show of support for independent candidate Robert F Kennedy Jr could harm the vote tallies for Ms Harris or Trump. Democrats have been fighting to have Green Party candidate Jill Stein removed from the ballot here, saying the party did not comply with state election laws, and has also filed an elections complaint against Cornel West, a left-leaning academic.

Trump has described that state as “really important… if we win Wisconsin, we win the whole thing”. The summer Republican National Convention was held in Milwaukee.

Ms Harris was rallying in that same city when her party's own convention formally nominated her as the Democratic presidential candidate, appearing via a live feed.

More on the US election

• SIMPLE GUIDE: Everything you need to know about the vote
• ANALYSIS: Three ways Trump will try to end Harris honeymoon
• EXPLAINER: What is the electoral college?
• ALTERNATIVES: RFK Jr and others running for president
• VOTERS: US workers in debt to buy groceries