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Technology

Intelligent Robots

Skills development in Physical Artificial Intelligence could give birth to lifelike intelligent robots
Source:
Imperial College London
Summary:

New research suggests combining educational topics and research disciplines to help researchers breathe life into lifelike intelligent robots.

 

FULL STORY
The research suggests that teaching materials science, mechanical engineering, computer science, biology and chemistry as a combined discipline could help students develop the skills they need to create lifelike artificially intelligent (AI) robots as researchers.

Known as Physical AI, these robots would be designed to look and behave like humans or other animals while possessing intellectual capabilities normally associated with biological organisms. These robots could in future help humans at work and in daily living, performing tasks that are dangerous for humans, and assisting in medicine, caregiving, security, building and industry.

Although machines and biological beings exist separately, the intelligence capabilities of the two have not yet been combined. There have so far been no autonomous robots that interact with the surrounding environment and with humans in a similar way to how current computer and smartphone-based AI does.

 

 

Co-lead author Professor Mirko Kovac of Imperial’s Department of Aeronautics and the Swiss Federal Laboratories for Materials Science and Technology (Empa)’s Materials and Technology Centre of Robotics said: “The development of robot ‘bodies’ has significantly lagged behind the development of robot ‘brains’. Unlike digital AI, which has been intensively explored in the last few decades, breathing physical intelligence into them has remained comparatively unexplored.”

The researchers say that the reason for this gap might be that no systematic educational approach has yet been developed for teaching students and researchers to create robot bodies and brains combined as whole units.

This new research, which is published today in Nature Machine Intelligence defines the term Physical AI. It also suggests an approach for overcoming the gap in skills by integrating scientific disciplines to help future researchers create lifelike robots with capabilities associated with intelligent organisms, such as developing bodily control, autonomy and sensing at the same time.

The authors identified five main disciplines that are essential for creating Physical AI: materials science, mechanical engineering, computer science, biology and chemistry.

 

 

Professor Kovac said: “The notion of AI is often confined to computers, smartphones and data intensive computation. We are proposing to think of AI in a broader sense and co-develop physical morphologies, learning systems, embedded sensors, fluid logic and integrated actuation. This Physical AI is the new frontier in robotics research and will have major impact in the decades to come, and co-evolving students’ skills in an integrative and multidisciplinary way could unlock some key ideas for students and researchers alike.”

The researchers say that achieving nature-like functionality in robots requires combining conventional robotics and AI with other disciplines to create Physical AI as its own discipline.

Professor Kovac said: “We envision Physical AI robots being evolved and grown in the lab by using a variety of unconventional materials and research methods. Researchers will need a much broader stock of skills for building lifelike robots. Cross-disciplinary collaborations and partnerships will be very important.”

 

 

One example of such a partnership is the Imperial-Empa joint Materials and Technology Centre of Robotics that links up Empa’s material science expertise with Imperial’s Aerial Robotics Laboratory.

The authors also propose intensifying research activities in Physical AI by supporting teachers on both the institutional and community level. They suggest hiring and supporting faculty members whose priority will be multidisciplinary Physical AI research.

Co-lead author Dr Aslan Miriyev of Empa and the Department of Aeronautics at Imperial said: “Such backing is especially needed as working in the multidisciplinary playground requires daring to leave the comfort zones of narrow disciplinary knowledge for the sake of a high-risk research and career uncertainty.

 

“Creating lifelike robots has thus far been an impossible task, but it could be made possible by including Physical AI in the higher education system. Developing skills and research in Physical AI could bring us closer than ever to redefining human-robot and robot-environment interaction.”

The researchers hope that their work will encourage active discussion of the topic and will lead to integration of Physical AI disciplines in the educational mainstream.

The researchers intend to implement the Physical AI methodology in their research and education activities to pave the way to human-robot ecosystems.

 

Story Source:

Materials provided by Imperial College London. Original written by Caroline Brogan. Note: Content may be edited for style and length.

Categories
Technology

Coconut Confusion Reveals Consumer Conundrum

Coconut oil production may be more damaging to the environment than palm oil, researchers say.

The issue of tropical forests being cut down for palm oil production is widely known, but the new study says coconut oil threatens more species per litre produced than palm or other vegetable oils.

The researchers use this example to highlight the difficulties of “conscientious consumption.”

They say consumers lack objective guidance on the environmental impacts of crop production, undermining their ability to make informed decisions.

“The outcome of our study came as a surprise,” said lead author Erik Meijaard, of Borneo Futures in Brunei Darussalam.

“Many consumers in the West think of coconut products as both healthy and their production relatively harmless for the environment.

“As it turns out, we need to think again about the impacts of coconut.”

Co-author Dr Jesse F. Abrams, of the Global Systems Institute and the Institute for Data Science and Artificial Intelligence, both at the University of Exeter, added: “Consumers, especially those striving to be more responsible in their consumption, rely heavily on information that they receive from the media, which is often supplied by those with vested interests.

“When making decisions about what we buy, we need to be aware of our cultural biases and examine the problem from a lens that is not only based on Western perspectives to avoid dangerous double standards.”

According to the study, production of coconut oil affects 20 threatened species (including plants and animals) per million litres of oil produced. This is higher than other oil-producing crops, such as palm (3.8 species per million litres), olive (4.1) and soybean (1.3).

The study shows that the main reason for the high number of species affected by coconut is that the crop is mostly grown on tropical islands with rich diversity and many unique species.

Impact on threatened species is usually measured by the number of species affected per square hectare of land used — and by this measure palm’s impact is worse than coconut.

Coconut cultivation is thought to have contributed to the extinction of a number of island species, including the Marianne white-eye in the Seychelles and the Solomon Islands’ Ontong Java flying fox.

Species not yet extinct but threatened by coconut production include the Balabac mouse-deer, which lives on three Philippine islands, and the Sangihe tarsier, a primate living on the Indonesian island of Sangihe.

The authors, however, emphasize that the objective of the study is not to add coconut to the growing list of products that consumers should avoid.

Indeed, they note that olives and other crops raise also raise concerns.

Co-author Professor Douglas Sheil, of the Norwegian University of Life Sciences, said: “Consumers need to realise that all our agricultural commodities, and not just tropical crops, have negative environmental impacts.

“We need to provide consumers with sound information to guide their choices.”

The researchers argue for new, transparent information to help consumers.

“Informed consumer choices require measures and standards that are equally applicable to producers in Borneo, Belgium and Barbados,” they write.

“While perfection may be unattainable, improvements over current practices are not.”

Story Source:

Materials provided by University of Exeter. Note: Content may be edited for style and length.

Journal Reference:

Erik Meijaard, Jesse F. Abrams, Diego Juffe-Bignoli, Maria Voigt, Douglas Sheil. Coconut oil, conservation and the conscientious consumer. Current Biology, 2020; 30 (13): R757 DOI: 10.1016/j.cub.2020.05.059

Categories
Security

American Rescued From Kidnappers’ Den in Nigeria

Philip Walton: US citizen freed from kidnappers in dramatic rescue operation by Navy SEALS in Nigeria

 

Courtesy – The Independent
Gino Spocchia •October 31, 2020

US special forces have rescued an American citizen who was kidnapped by armed men in an operation on Saturday in northern Nigeria, US officials said.

 

Forces including Navy SEALs rescued 27-year-old Philip Walton, who had been abducted on Tuesday from his home in neighbouring Niger, two US officials told Reuters on condition of anonymity, adding that no US troops were hurt. Several of the captors are believed to have been killed in the mission.

 

A diplomat source in Niger said Mr Walton is now at the US ambassador’s residence in Niamey.

“Big win for our very elite US Special Forces today,” Donald Trump wrote on Twitter on Saturday.

White House press secretary Kayleigh McEnany told Fox News that the Trump administration had over the years rescued 55 hostages in 24 countries.

 

The Pentagon confirmed the operation but did not provide the identity of the hostage.

In statement to ABC News, Pentagon chief spokesperson Jonathan Hoffman said “US forces conducted a hostage rescue operation during the early hours of 31 October in Northern Nigeria to recover an American citizen held hostage by a group of armed men,”

“This American citizen is safe and is now in the care of the U.S. Department of State. No US military personnel were injured during the operation,” he added. “We appreciate the support of our international partners in conducting this operation.”

 

Mr Walton, who was reported to have kept camels, sheep and poultry and grew mangoes near the Niger-Nigeria border, was kidnapped by six men armed with AK-47 assault rifles who arrived on motorcycles at his home in southern Niger’s Massalata village early on Tuesday.

His wife, young daughter and brother were left behind, whilst the group had demanded money.

Categories
Technology

Software spots and fixes hang bugs in seconds, rather than weeks

Date : October 13, 2020
Source:
North Carolina State University
Summary:
Hang bugs – when software gets stuck, but doesn’t crash – can frustrate both users and programmers, taking weeks for companies to identify and fix. Now researchers have developed software that can spot and fix the problems in seconds.
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Hang bugs — when software gets stuck, but doesn’t crash — can frustrate both users and programmers, taking weeks for companies to identify and fix. Now researchers from North Carolina State University have developed software that can spot and fix the problems in seconds.

“Many of us have experience with hang bugs — think of a time when you were on website and the wheel just kept spinning and spinning,” says Helen Gu, co-author of a paper on the work and a professor of computer science at NC State. “Because these bugs don’t crash the program, they’re hard to detect. But they can frustrate or drive away customers and hurt a company’s bottom line.”

With that in mind, Gu and her collaborators developed an automated program, called HangFix, that can detect hang bugs, diagnose the relevant problem, and apply a patch that corrects the root cause of the error. Video of Gu discussing the program can be found here.

The researchers tested a prototype of HangFix against 42 real-world hang bugs in 10 commonly used cloud server applications. The bugs were drawn from a database of hang bugs that programmers discovered affecting various websites. HangFix fixed 40 of the bugs in seconds.

“The remaining two bugs were identified and partially fixed, but required additional input from programmers who had relevant domain knowledge of the application,” Gu says.

For comparison, it took weeks or months to detect, diagnose and fix those hang bugs when they were first discovered.

“We’re optimistic that this tool will make hang bugs less common — and websites less frustrating for many users,” Gu says. “We are working to integrate Hangfix into InsightFinder.” InsightFinder is the AI-based IT operations and analytics startup founded by Gu.

The paper, “HangFix: Automatically Fixing Software Hang Bugs for Production Cloud Systems,” is being presented at the ACM Symposium on Cloud Computing (SoCC’20), being held online Oct. 19-21. The paper was co-authored by Jingzhu He, a Ph.D. student at NC State who is nearing graduation; Ting Dai, a Ph.D. graduate of NC State who is now at IBM Research; and Guoliang Jin, an assistant professor of computer science at NC State.

The work was done with support from the National Science Foundation under grants 1513942 and 1149445.

HangFix is the latest in a long line of tools Gu’s team has developed to address cloud computing challenges. Her 2011 paper, “CloudScale: Elastic Resource Scaling for Multi-tenant Cloud Systems,” was selected as the winner of the 2020 SoCC 10-Year Award at this year’s conference.

Story Source:

Materials provided by North Carolina State University. Note: Content may be edited for style and length. North Carolina State University. “Software spots and fixes hang bugs in seconds, rather than weeks.” ScienceDaily. ScienceDaily, 13 October 2020.

Categories
CDA Security

FAQ – Community Policing and Security of Lives in Every Community

Community Policing

What is Community Policing?

Wikipedia – en.wikipedia.org/wiki/
Community policing, or community-oriented policing (COP), is a strategy of policing that focuses on building ties and working closely with members of the community. It is a philosophy of full-service policing that is highly personal, where an officer patrols the same area for a period of time and develops a partnership with citizens to identify and solve problems.

The central goal of community policing is for the police to build relationships with the community, 

including through local agencies to reduce social disorder. Although community policing mostly targets low-level crime, the broken windows theory proposes that this can reduce more serious crime as well.

Community policing is related to problem-oriented policing and intelligence-led policing, and contrasts with reactive policing strategies which were predominant in the late 20th century.[10] Many police forces have teams that focus specifically on community policing, such as Neighbourhood Policing Teams in the United Kingdom, which are separate from the more centralized units that respond to emergencies.

 
What are the strategies of community policing?

The three key components of community policing strategies are organizational transformation, community partnerships, and shared problem solving.

 
Common methods of community-policing include:

Encouraging the community to help prevent crime by providing advice, talking to students and encouraging neighborhood watch groups
Increased use of foot or bicycle patrols.
Increased officer accountability to the communities they serve
Creating teams of officers to carry out community policing in designated neighborhoods.
Clear communication between the police and the communities about their objectives and strategies.
Partnerships with other organizations such as government agencies, community members, nonprofit service providers, private businesses and the media.
Moving towards some decentralizing of the police authority, allowing more discretion among lower-ranking officers, and more initiative expected from them.

What is an example of community policing?

Neighborhood watches are an example of community policing in action, and these are when residents set up teams to routinely keep an eye out for potential criminal activity. Along these lines are “walk throughs”, which also involve citizens on the alert for crime, and ready to report it.

What to know about community policing?

Community policing stresses prevention, early identification, and timely intervention to deal with issues before they become unwieldy problems. Individual officers tend to function as general-purpose practitioners who bring together both government and private resources to achieve results.

Categories
Health Technology

Study helps explain why motivation to learn declines with age

Research on mice suggests aging affects a brain circuit critical for learning to make some types of decisions
Date:
October 28, 2020
Source:
Massachusetts Institute of Technology
Summary:
Neuroscientists have identified a brain circuit critical for learning to make decisions that require evaluating the cost or reward of an action. They showed this circuit is negatively affected by aging and in Huntington’s disease.
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FULL STORY
As people age, they often lose their motivation to learn new things or engage in everyday activities. In a study of mice, MIT neuroscientists have now identified a brain circuit that is critical for maintaining this kind of motivation.

This circuit is particularly important for learning to make decisions that require evaluating the cost and reward that come with a particular action. The researchers showed that they could boost older mice’s motivation to engage in this type of learning by reactivating this circuit, and they could also decrease motivation by suppressing the circuit.

Grandmother Making Faces

“As we age, it’s harder to have a get-up-and-go attitude toward things,” says Ann Graybiel, an Institute Professor at MIT and member of the McGovern Institute for Brain Research. “This get-up-and-go, or engagement, is important for our social well-being and for learning — it’s tough to learn if you aren’t attending and engaged.”

Graybiel is the senior author of the study, which appears today in Cell. The paper’s lead authors are Alexander Friedman, a former MIT research scientist who is now an assistant professor at the University of Texas at El Paso, and Emily Hueske, an MIT research scientist.

Evaluating cost and benefit

The striatum is part of the basal ganglia — a collection of brain centers linked to habit formation, control of voluntary movement, emotion, and addiction. For several decades, Graybiel’s lab has been studying clusters of cells called striosomes, which are distributed throughout the striatum. Graybiel discovered striosomes many years ago, but their function had remained mysterious, in part because they are so small and deep within the brain that it is difficult to image them with functional magnetic resonance imaging (fMRI).

In recent years, Friedman, Graybiel, and colleagues including MIT research fellow Ken-ichi Amemori have discovered that striosomes play an important role in a type of decision-making known as approach-avoidance conflict. These decisions involve choosing whether to take the good with the bad — or to avoid both — when given options that have both positive and negative elements. An example of this kind of decision is having to choose whether to take a job that pays more but forces a move away from family and friends. Such decisions often provoke great anxiety.

In a related study, Graybiel’s lab found that striosomes connect to cells of the substantia nigra, one of the brain’s major dopamine-producing centers. These studies led the researchers to hypothesize that striosomes may be acting as a gatekeeper that absorbs sensory and emotional information coming from the cortex and integrates it to produce a decision on how to act. These actions can then be invigorated by the dopamine-producing cells.

The researchers later discovered that chronic stress has a major impact on this circuit and on this kind of emotional decision-making. In a 2017 study performed in rats and mice, they showed that stressed animals were far more likely to choose high-risk, high-payoff options, but that they could block this effect by manipulating the circuit.

In the new Cell study, the researchers set out to investigate what happens in striosomes as mice learn how to make these kinds of decisions. To do that, they measured and analyzed the activity of striosomes as mice learned to choose between positive and negative outcomes.

During the experiments, the mice heard two different tones, one of which was accompanied by a reward (sugar water), and another that was paired with a mildly aversive stimulus (bright light). The mice gradually learned that if they licked a spout more when they heard the first tone, they would get more of the sugar water, and if they licked less during the second, the light would not be as bright.

Learning to perform this kind of task requires assigning value to each cost and each reward. The researchers found that as the mice learned the task, striosomes showed higher activity than other parts of the striatum, and that this activity correlated with the mice’s behavioral responses to both of the tones. This suggests that striosomes could be critical for assigning subjective value to a particular outcome.

“In order to survive, in order to do whatever you are doing, you constantly need to be able to learn. You need to learn what is good for you, and what is bad for you,” Friedman says.

“A person, or this case a mouse, may value a reward so highly that the risk of experiencing a possible cost is overwhelmed, while another may wish to avoid the cost to the exclusion of all rewards. And these may result in reward-driven learning in some and cost-driven learning in others,” Hueske says.

The researchers found that inhibitory neurons that relay signals from the prefrontal cortex help striosomes to enhance their signal-to-noise ratio, which helps to generate the strong signals that are seen when the mice evaluate a high-cost or high-reward option.

Loss of motivation

Next, the researchers found that in older mice (between 13 and 21 months, roughly equivalent to people in their 60s and older), the mice’s engagement in learning this type of cost-benefit analysis went down. At the same time, their striosomal activity declined compared to that of younger mice. The researchers found a similar loss of motivation in a mouse model of Huntington’s disease, a neurodegenerative disorder that affects the striatum and its striosomes.

When the researchers used genetically targeted drugs to boost activity in the striosomes, they found that the mice became more engaged in performance of the task. Conversely, suppressing striosomal activity led to disengagement.

In addition to normal age-related decline, many mental health disorders can skew the ability to evaluate the costs and rewards of an action, from anxiety and depression to conditions such as PTSD. For example, a depressed person may undervalue potentially rewarding experiences, while someone suffering from addiction may overvalue drugs but undervalue things like their job or their family.

The researchers are now working on possible drug treatments that could stimulate this circuit, and they suggest that training patients to enhance activity in this circuit through biofeedback could offer another potential way to improve their cost-benefit evaluations.

“If you could pinpoint a mechanism which is underlying the subjective evaluation of reward and cost, and use a modern technique that could manipulate it, either psychiatrically or with biofeedback, patients may be able to activate their circuits correctly,” Friedman says.

The research was funded by the CHDI Foundation, the Saks Kavanaugh Foundation, the National Institutes of Health, the Nancy Lurie Marks Family Foundation, the Bachmann-Strauss Dystonia and Parkinson’s Foundation, the William N. and Bernice E. Bumpus Foundation, the Simons Center for the Social Brain, the Kristin R. Pressman and Jessica J. Pourian ’13 Fund, Michael Stiefel, and Robert Buxton.

Story Source:

Materials provided by Massachusetts Institute of Technology. Original written by Anne Trafton. Note: Content may be edited for style and length.

Journal Reference:

Alexander Friedman, Emily Hueske, Sabrina M. Drammis, Sebastian E. Toro Arana, Erik D. Nelson, Cody W. Carter, Sebastien Delcasso, Raimundo X. Rodriguez, Hope Lutwak, Kaden S. DiMarco, Qingyang Zhang, Lara I. Rakocevic, Dan Hu, Joshua K. Xiong, Jiajia Zhao, Leif G. Gibb, Tomoko Yoshida, Cody A. Siciliano, Thomas J. Diefenbach, Charu Ramakrishnan, Karl Deisseroth, Ann M. Graybiel. Striosomes Mediate Value-Based Learning Vulnerable in Age and a Huntington’s Disease Model. Cell, 2020; DOI: 10.1016/j.cell.2020.09.060

Categories
Health Technology

New tool can diagnose strokes with a smartphone

New tool can diagnose strokes with a smartphone
Date : October 22, 2020
Source:
Penn State
Summary:
A new tool could diagnose a stroke based on abnormalities in a patient’s speech ability and facial muscular movements, and with the accuracy of an emergency room physician — all within minutes from an interaction with a smartphone.

Selective Focus Photography of Person Holding Turned on Smartphone
FULL STORY

A new tool created by researchers at Penn State and Houston Methodist Hospital could diagnose a stroke based on abnormalities in a patient’s speech ability and facial muscular movements, and with the accuracy of an emergency room physician — all within minutes from an interaction with a smartphone.

“When a patient experiences symptoms of a stroke, every minute counts,” said James Wang, professor of information sciences and technology at Penn State. “But when it comes to diagnosing a stroke, emergency room physicians have limited options: send the patient for often expensive and time-consuming radioactivity-based scans or call a neurologist — a specialist who may not be immediately available — to perform clinical diagnostic tests.”

Wang and his colleagues have developed a machine learning model to aid in, and potentially speed up, the diagnostic process by physicians in a clinical setting.

“Currently, physicians have to use their past training and experience to determine at what stage a patient should be sent for a CT scan,” said Wang. “We are trying to simulate or emulate this process by using our machine learning approach.”

The team’s novel approach is the first to analyze the presence of stroke among actual emergency room patients with suspicion of stroke by using computational facial motion analysis and natural language processing to identify abnormalities in a patient’s face or voice, such as a drooping cheek or slurred speech.

The results could help emergency room physicians to more quickly determine critical next steps for the patient. Ultimately, the application could be utilized by caregivers or patients to make self-assessments before reaching the hospital.

“This is one of the first works that is enabling AI to help with stroke diagnosis in emergency settings,” added Sharon Huang, associate professor of information sciences and technology at Penn State.

To train the computer model, the researchers built a dataset from more than 80 patients experiencing stroke symptoms at Houston Methodist Hospital in Texas. Each patient was asked to perform a speech test to analyze their speech and cognitive communication while being recorded on an Apple iPhone.

“The acquisition of facial data in natural settings makes our work robust and useful for real-world clinical use, and ultimately empowers our method for remote diagnosis of stroke and self-assessment,” said Huang.

Testing the model on the Houston Methodist dataset, the researchers found that its performance achieved 79% accuracy — comparable to clinical diagnostics by emergency room doctors, who use additional tests such as CT scans. However, the model could help save valuable time in diagnosing a stroke, with the ability to assess a patient in as little as four minutes.

“There are millions of neurons dying every minute during a stroke,” said John Volpi, a vascular neurologist and co-director of the Eddy Scurlock Stroke Center at Houston Methodist Hospital. “In severe strokes it is obvious to our providers from the moment the patient enters the emergency department, but studies suggest that in the majority of strokes, which have mild to moderate symptoms, that a diagnosis can be delayed by hours and by then a patient may not be eligible for the best possible treatments.”

“The earlier you can identify a stroke, the better options (we have) for the patients,” added Stephen T.C. Wong, John S. Dunn, Sr. Presidential Distinguished Chair in Biomedical Engineering at the Ting Tsung and Wei Fong Chao Center for BRAIN and Houston Methodist Cancer Center. “That’s what makes an early diagnosis essential.”

Volpi said that physicians currently use a binary approach toward diagnosing strokes: They either suspect a stroke, sending the patient for a series of scans that could involve radiation; or they do not suspect a stroke, potentially overlooking patients who may need further assessment.

“What we think in that triage moment is being either biased toward overutilization (of scans, which have risks and benefits) or underdiagnosis,” said Volpi, a co-author on the paper. “If we can improve diagnostics at the front end, then we can better expose the right patients to the right risks and not miss patients who would potentially benefit.”

He added, “We have great therapeutics, medicines and procedures for strokes, but we have very primitive and, frankly, inaccurate diagnostics.”

Other collaborators on the project include Tongan Cai and Mingli Yu, graduate students working with Wang and Huang at Penn State; and Kelvin Wong, associate research professor of electronic engineering in oncology at Houston Methodist Hospital.

Categories
Health Health Technology

Malaria test as simple as a bandage

Microneedle-based diagnostic a new platform for many diseases, blood draw not required

Date:
November 2, 2020
Source:
Rice University
Summary:
A test for malaria looks like a bandage, but can diagnose the disease in minutes without the need for medical expertise or specialized equipment.
Yellow Stethoscope And Medicines On Pink Background
                             FULL STORY

Testing for malaria could become as simple as putting on a bandage.

That’s the idea behind a platform developed by Rice University engineers who introduced a microneedle patch for rapid diagnostic testing that does not require extracting blood.

The device detailed in the Nature journal Microsystems and Nanoengineering draws upon protein biomarkers contained in dermal interstitial fluid, what people generally recognize as the fluid inside blisters but surrounds all of the cells in skin.

This fluid contains a multitude of biomarkers for various diseases, such as malaria, which can be used for rapid testing. The disposable patches could be programmed to detect other diseases, potentially including COVID-19, said mechanical engineer Peter Lillehoj of Rice’s Brown School of Engineering.

“In this paper, we focus on malaria detection because this project was funded by the Bill and Melinda Gates Foundation, and it’s a big priority for them,” said Lillehoj, who joined Rice in January as an associate professor of mechanical engineering. “But we can adapt this technology to detect other diseases for which biomarkers appear in interstitial fluid.”

The self-contained test developed by Lillehoj and lead author Xue Jiang, a Rice postdoctoral researcher, delivers a result in about 20 minutes and does not require medical expertise or any equipment.

The sticky patch has 16 hollow microneedles in a 4-by-4 array on one side, coupled with an antibody-based lateral-flow test strip on the other. The antibodies react when they sense protein biomarkers for malaria and turn two readout lines on the strip’s exposed surface red. If the test is negative, only one line turns red.

The needles are treated to be hydrophilic — that is, attracted to water — so the fluid is drawn in and flows through to the test strip. Once the test is complete, the device can be removed like any bandage.

While both microneedles and antibody test strips have been extensively studied, Lillehoj said his lab is the first to combine them into a simple, inexpensive package that will be easy to deploy at the point of need, especially in developing regions where finger-prick blood sampling and the availability of trained medical personnel to diagnose samples may be challenging.

The hollow needles are 375 microns wide and 750 microns long, enough to reach the fluid within skin that is typically between 800 to 1,000 microns thick. The needles are sharp enough to overcome the mechanical stress of entering the skin.

“Xue and I have applied the patch to our skin, and it doesn’t feel painful at all compared to a finger prick or a blood draw,” Lillehoj said. “It’s less painful than getting a splinter. I would say it feels like putting tape on your skin and then peeling it off.”

They think the familiar form factor may provide some comfort, especially to children. “We didn’t intend for it to look like a bandage,” he said. “We started with a rectangular shape and then just rounded the edges to make it a little more presentable. We didn’t plan for that, but perhaps it makes the patch more relatable to the general public.”

He estimated individual patches could cost about $1 if and when they are produced in bulk.

Categories
Lifestyle Long Title Post Technology

Tesla is recalling 30,000 Model S and X cars in China over suspension problems

Tesla is recalling around 30,000 vehicles in China because of suspension problems.

The electric vehicle company is recalling imported Model S and X vehicles made between September 17, 2013, and January 15, 2018, China’s State Administration for Market Regulation said in a statement on Friday.

This accounts for most vehicles Tesla sold in China over that period, Bloomberg reported.

The company issued the recall because of two different suspension defects, the authority reported, per Bloomberg, and some vehicles potentially have both defects.

The recall doesn’t include any vehicles made in China, where Tesla began making Model 3 vehicles in early 2020. In May, Tesla’s global vice president estimated its Shanghai factory would be able to produce more than 150,000 cars a year.

Tesla did not immediately reply to Business Insider’s request for comment.

The news comes as the Chinese electric vehicle industry rebounds after an almost year-long slump.

Categories
Technology

Good deal with the Apple Watch Series 5

You can get the Apple Watch Series 5 at a serious discount for Prime Day 2020

USA TODAY

Christine Persaud, Reviewed.com

USA TODAY•October 13, 2020

Best tech gifts: Apple Watch Series 5

Editor’s Note: The Apple Watch Series 5 sales models have since sold out, but you can still get the Apple Watch Series 3 on sale from $169. 

With each update to the Apple Watch, you have to wonder if there’s really a reason to trade up for the latest-and-greatest. Sometimes, the new version is night and day with the previous-generation model. Other times, it’s a minimal change—at a much higher price.

While the new Apple Watch Series 6 offers some really compelling updates over previous-generations, its predecessor, the Apple Watch Series 5, will still do just fine for most Apple fans: especially with this amazing Amazon Prime Day 2020 deal.

On sale for $50 off for its usual starting price of $399, the Series 5 has plenty of compelling features: we’re talking an always-on Retina OLED display, GPS and cellular (the latter comes at a higher price), a heart rate sensor with notifications and an electrocardiogram (ECG) app, emergency SOS and fall detection, noise monitoring (to let you know if the decibel noise level in a room has reached unsafe levels), a water-resistant design (you can swim with it down to 50 meters), a 32 gigabyte (GB) capacity for storing music downloads, an 18-hour battery life and support for the new Family Setup, so you can share things like calendars and synced photos with family members. 

No wonder this watch was our former favorite smartwatch of 2020! Between the stellar fitness tracking and health features, the super easy set up and the “elegant and intuitive software,” it’s an excellent performer. 

The Series 6, by contrast—our new favorite smartwatch—offers upgrades such as a new processor and chip, fast, one-and-a-half-hour charging and a real-time elevation measurement via a barometric altimeter, along with blood oxygen monitoring, which can help you pinpoint respiratory issues. There’s also a new finish and more band colors to choose from.