Natural polyphenol for Alzheimer’s

Natural polyphenol for Alzheimer’s


Scientists have found that highly abundant, naturally occurring, plant-based polyphenols like tannic acid found in the twigs of trees like Chestnut and Oak can modulate the ferroptosis-AD axis to yield a safe, cost-effective strategy for combating Alzheimer’s disease (AD).

AD is a widely prevalent progressive neurodegenerative disorder marked by memory and cognitive decline, yet it remains poorly understood despite decades of dedicated research. As a consequence of this, there are no therapeutics to completely cure the disease. Ferroptosis, an iron-dependent form of programmed cell death, has emerged as a significant contributor to the development of AD.

Study by scientists of Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), presents naturally occurring polyphenols as innovative and multimodal therapeutic agents with dual capabilities to ameliorate ferroptosis and AD. The underlying mechanisms involve the inhibition of aggregation of amyloid (abnormal fibrous, proteinaceous deposits found in organs and tissues) and tau protein (abundantly found in the neurons of the central nervous system), diminishing oxidative stress, rescuing mitochondrial function, and inhibiting ferroptosis, according to a press release.





Source link

Cyber investigation tool

Cyber investigation tool


A new cybercrime investigation tool would soon be able to track cyberattacks targeting humans — like insurance fraud, online matrimonial fraud and so on. The tool called TTPs (tactics, techniques and procedures)-based cybercrime investigation framework can help in tracking and classifying cybercrimes identifying chains of evidence required to solve the case and in mapping evidence onto the framework to convict criminals, says a press release.

Incidents of cybercrime cause a loss of ₹1 crore in a day. Mostly, women, aged and poor people are targeted resulting in loss of entire life savings. The number of cybercrime investigations is significantly lesser than the number of cybercrime reports in India. And, the investigation of such crimes depends on the FIR narratives given by the victims who usually have extremely low cyber-literacy. Hence they are their narratives frequently mislead or distract investigators. Victims frequently do not maintain contact after reporting the incident, which makes tracking the crime even more difficult. 

For the success of cybercrime investigation, a proper framework is required which could extract key points from the victim’s FIR, provide investigators with sufficient information on the reported cybercrime to categorise it systematically and exhaustively, indicate the steps to follow based on pre-existing crime paths, map evidences to the steps taken to decide the following step and finally conclude and convict criminals. No such comprehensive framework existed till now.

To fill this gap, I-hub NTIHAC foundation (c3ihub) at IIT Kanpur, under National Mission on Interdisciplinary Cyber Physical Systems (NM-ICPS), has developed a methodology and tool for apprehending cybercriminals’ modes of operations in a crime execution life cycle.

It was developed with the help of literature study, case studies, framework building, incorporating pre-existing crime in the framework, evolving interactive framework navigator and mapping real cases onto the framework. 

The technology can create an approximate crime execution path and suggest a crime path based on a user derived set of keywords. It can also compare modus operandi used in different crimes and manage user roles and track activity for crime paths.

The TTPs-based investigation framework could be highly effective as it restricts the numbers of forms and methods the investigation can be conducted and primarily rely on criminals’ TTPs. This can lead to precise and rapid conviction of cybercriminals.





Source link

How to spot deepfakes using AI

How to spot deepfakes using AI


A ‘deepfake’ is a type of synthetic media that uses deep learning algorithms to create realistic images, videos or audio recordings that are difficult to distinguish from the real ones. In a deepfake video, a person’s face is layered over another person’s, creating a realistic-looking fake video.

Deepfakes are created using machine learning algorithms, which are trained on large datasets of images and videos to learn how to generate real-looking media. They are becoming more and more popular on social networking sites and can now be created much more quickly and cheaply due to advances in technology.

While deepfakes have the potential for positive applications, such as in the entertainment industry, they also pose a significant threat to the society by enabling the spread of false information and the manipulation of public opinion. Being able to distinguish between real and fake videos can help prevent the spread of false information and protect individuals from potential harm.

In the paper, “Revealing and classification of deepfakes video’s images using a customize convolution neural network model”, Usha Kosarkar, Gopal Sarkarkar and Shilpa Gedam, propose a strategy to detect deepfakes by utilising residual noise — which is the difference between the original and its denoised form.

The authors used a multi-layer perceptron convolutional neural network (MLP-CNN) model for the study. The MLP-CNN model consists of multiple layers of perceptrons and convolutional layers, which are trained on a dataset of genuine and altered video frames to learn how to distinguish between the two by analysing the residual noise in the frames.

The proposed model consists of three main components: pre-processing, feature extraction and classification. In the pre-processing stage, the video frames are first denoised to remove any noise that may interfere with the detection process. Then, the residual noise is extracted from the denoised frames.

In the feature extraction stage, the residual noise is used to extract features that are unique to deepfake videos. The authors used a CNN with transfer learning to extract these features which are then used to train a binary classifier that can distinguish between genuine and altered videos.

In the classification stage, the binary classifier is used to classify each video frame as either genuine or altered. A threshold value was used to determine the authenticity of a video based on the percentage of frames that are classified as altered.

Low-resolution video clips from FaceForensics++ and high-resolution video clips from Kaggle DFDC (Deepfake detection challenge) was used by the researchers to test the effectiveness of the technique. The performance of the model was also compared with other competing.

The authors reported that the MLP-CNN model achieved a high degree of accuracy at 95.5 per cent, which is higher than the testing accuracy achieved by the CNN model alone (85.2 per cent).

The nature of AI is such that as deepfake detection becomes more effective, it will be a race between creating better deepfakes and detecting deepfakes better.





Source link

Blooming after 120 years

Blooming after 120 years


In a few years, a mystery bamboo species native to Japan is about to do something it does once in about 120 years: flower.

Phyllostachys nigra var. henonis, a monocarpic bamboo species (monocarpic means it flowers once in its lifetime and dies). The last time this species flowered was between 1908 and 1912—so, the next flowering season is expected to begin around 2028.

Because the plants die shortly after flowering, you might suppose that they throw their seeds around before they pop off, but it is not quite so. In 2020, some Japanese scientists chanced upon one flowering stand (grove) of the species and began to study it. After the flowering some new culms came but the bamboo did not produce any viable culms that could germinate.

The question is, if the bamboo dies in just a few years after flowering without producing any viable seeds, how come the species has survived for over 1,000 years? Since no study was made the last time about how the species reproduces, scientists are smacking their lips over the opportunity-of-the-century to carry out research.

Scientists wonder if the plant has some underground organs that let the plant regrow. Perhaps they will know more after the upcoming flowering season.





Source link

Quantum computers in the age of artificial intelligence 

Quantum computers in the age of artificial intelligence 


Quantum computing and artificial intelligence (AI) are symbiotically-related technologies that hold the potential to revolutionise the way we live. Its ability to process vast amounts of data can significantly accelerate AI algorithms, enhance machine learning and pattern recognition capabilities, with more accurate data analysis and predictive modelling.

This synergy can lead to breakthroughs in drug discovery, weather forecasting, optimisation problems and much more, says R Vijayaraghavan, Associate Professor, Tata Institute of Fundamental Research.

If the AI powered by classical computing solves problems within known limits, AI powered by quantum computers expands its capabilities into uncharted terrain, he added.

Quantum-powered AI can revolutionise fields such as material discovery and reshape AI’s problem-solving capabilities which can foster advanced algorithms via quantum computers, notes Vijayaraghavan.

Prabhakar Anil, Professor, Department of Electrical Engineering, IIT Madras, notes that these technologies can transform drug discovery. “If you want to design a new drug molecule, you have to simulate the quantum mechanics of it which is easier to do on a quantum computer,” he says.

Lagging behind

On the other hand, countries like China, the US and Canada are way ahead of India in terms of their quantum computing capacities. But, as of now, India doesn’t have any indigenous quantum computers. One of the reasons for this lag is that, in India, R&D on quantum computing began taking root seriously only around a decade ago, falling behind the other countries by about 30 years, says Vijayaraghavan.

Apart from India’s standing in quantum computing development, a question that pops up frequently is whether India needs quantum computing at all. After all, there are many technologies, such as the exascale supercomputers, which can do billions of computations a second. So why should we look at something as far as quantum computing—goes the argument.

One can debate on this, but the answer from the pro-quantum computing side is centred around “security”—supercomputers, regardless of their capacity, can be broken into by quantum computers.

“What we use today as an encryption tool can be very easily broken using quantum computing,” says Srikanth Karra, Chief Human Resource Officer, Mphasis. “Therefore, every financial transaction, including governmental transactions need the kind of encryption that quantum computing cannot break,” he says.

Kiran Vangaveti, CEO, Blusapphire Cyber Systems, says countries are now racing to build viable quantum computers that can decrypt data in a matter of hours. Most internet data passes through cables controlled by multiple states, making them accessible to many parties. Hence, those unprepared are at risk, warns Vangaveti.

“Adversaries with quantum computing technology can breach the current lines of secure communication. Switching to quantum-safe methods of communication is thus essential. Advanced solutions, even in India, are now available to address this challenge,” adds Vijayaraghavan.

In this scenario, using other country’s cloud-based quantum computers becomes a risky endeavour. Since traditional cryptographic methods that rely on mathematical complexities can be easily deciphered by powerful quantum computers, sensitive information transmitted over conventional networks could be at risk of being exploited.

The silver lining

However, there’s a silver lining amidst these concerns, says Abhishek Agarwal, President, Judge India, and Global Delivery, The Judge Group — quantum cryptography offers a highly secure alternative for data transmission. This is one good reason why India needs quantum computers, he says.

Says Agarwal, technologies like quantum key distribution ensure unbreakable encryption based on the principles of quantum entanglement. As quantum computing progresses, this quantum-safe encryption will be instrumental in safeguarding sensitive data, he adds.





Source link

High costs may derail Global Biofuel Alliance ambitions but tech can help

High costs may derail Global Biofuel Alliance ambitions but tech can help


The world wants to switch over from fossil fuels to biofuels, but there is a problem: biofuels derived from non-edible feedstock are expensive. Unless costs come down, initiatives such as the Global Biofuel Alliance may not take off.  

A litre costs around ₹110, compared with ₹65 of the first-generation biofuels (derived from edible stuff like corn and soya).  

Since we cannot afford to divert agricultural lands meant to grow food for production of biomass for biofuels, the need of the hour is the 2G biofuels.  

The only way costs can come down is through breakthrough technology.  

Broadly, there are two ways technology can help. One, by developing better catalysts that can increase yield and two, by finding ways of making other chemicals from biomass.  

Biomass is essentially ‘lignocellulosic’. It contains three elements – lignin, hemicellulose (branched polymer molecules) and cellulose (long chain polymer molecules).  

Cellulose is the stuff that becomes biofuels. Here is where catalysts will help, and scientists are working on developing better catalysts. 

Hemicellulose can be made into valuable chemicals, called ‘platform chemicals’–mainly into furan dicarboxylic acid (fdca), which can replace the petroleum-derived terephthalic acid used in the manufacture of PET bottles. Lignin, a sort of glue that binds cellulose and hemicellulose together in plants, is generally considered to be a waste and the joke among chemical engineers is that you can make anything from lignin, except money. Lignin is fit only to be burnt in industrial boilers, but researchers say that the biochemical, that has high carbon content, can be mixed with bitumen for surfacing roads, locking-in carbon. Research is happening also in valorising hemicellulose and lignin. Valuable by-products can bring down the cost of the main product—biofuels. 

Critical research is needed to develop catalysts (chemicals that do not participate in the reaction but enhance the reaction.) 

Researchers have only recently begun exploring various catalyst candidates for biofuels. “Till now, only a few catalysts have been explored, which can break these strong polymers into useful chemicals and biodiesel,” says a January 2023 paper by researchers Tripti Chabbra and Venkata Krishnan of IIT Mandi, published in the journal, Fuel.  

In another scientific publication titled ‘Nanotechnology based technological development in biofuel production: Current status and future prospects’, the authors, Zaheer Ud Din Sheikh, Anita Singh et al of the Central University of Jammu, J&K, note that “in biofuel production, nanoparticles can be broadly categorised into carbon based, metallic, ceramic, and semiconductors.” The paper delves into the merits of each. 

Due to their features such as high adsorption, reactivity, and stability, nanoparticles can provide an essential breakthrough in biomass conversion, the authors say.

The conversion of cellulose into (sugar monomers such as glucose and xylose, and then into) biofuels is by a process called ‘enzymatic hydrolysis’. Nanoparticles, especially magnetic nanoparticles, can assist in making the biomass conversion process more economical, says the paper. It notes that nanoparticles of metal oxides are good, as they “enhance electron transfer and boost enzymatic activity and thereby increase biofuel production.” Further, nanoparticles of silver and gold promote the growth of microbes, which again help increase biofuel yields. 

Scientists are taking nanoparticles a step further, tweaking their composition, size, shape and properties—a branch of science called ‘nanoarchitectonics’. Chabbra and Venkat Krishnan have worked the nanoparticles of a metal oxide, called niobium pentoxide (Nb2O5) into a flower-like structure (florets) to further enhance its properties. 

Prof R Vinu of the Department of Chemical Engineering, IIT-Madras, has developed a ‘lignin-first approach’, which stands the biorefinery on the other leg. In this approach, the lignin is first separated and converted into phenols for use in some industries such as perfumery. The rest of the biomass, rich in cellulose and hemicellulose, is a better feedstock for the biorefineries, says Vinu, who is also the founder of a start-up named X2Fuels, a company that is setting up a plant to convert industrial wastes into a crude oil-like fuel. 

Lab to industry 

So, the biomass is there in the agricultural fields—India produces 750 million tonnes every year.  

The technology is their—in the labs.  

However, the technology, especially the new generation catalysts, are miles from commercialization. Dr Milind Patka, President (Biofuels), GPS Renewables, a 11-year-old Bengaluru-based biofuels manufacturer, told Quantum that he had no technology provider had offered the company any yield-enhancing nano catalyst.  

Vinu points out, it is one thing to develop a catalyst in the lab but quite another to mass-produce it. “To scale up the incorporation of nanoparticles in biofuels production, intensive research is needed to make the process more economical and enable biofuels to compete with conventional fuels,” say researchers of the Central University of Jammu. 

The Ministry of External Affairs statement announcing the launch of the Global Biofuels Alliance, speaks of “facilitating technology advancements”. Technology is there; it needs governments’ support to journey from the labs to the industry. The jump from the labs to the industry is fraught with challenges. The industry needs to be given confidence to bet on a new technology. Patke feels that the government can help by mandating the oil marketing companies like IOC and BPCL, to buy some amount of 2G biofuels from the market.  

When any new technology comes to the market, it faces a chicken-and-egg situation. The industry can drop costs by scaling up only if there is demand, but there will be demand only if costs are low. The way to break the jinx is for the government to mandate purchase—as it did for renewable energy (renewable purchase obligation) and compressed biogas (5 per cent mandatory blending with CNG). Biofuels need similar support, Patke said. 





Source link

YouTube
Instagram
WhatsApp