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Aerosols, water vapor from Tonga eruption cooled Earth, researchers say – Interesting Engineering

There have been a lot of mysteries lying around the climatic impact of the 2022 Hunga Tonga volcano eruption.

There was initial speculation that it might account for the extreme global warmth in 2023 and 2024.

However, new research from a collaborative team featuring Texas A&M University atmospheric scientist Dr. Andrew Dessler revealed that the eruption actually contributed to cooling the Earth, similar to other major volcanic events.

The research said that, historically, large volcanic eruptions have had significant cooling effects on the global climate by blocking sunlight with their aerosols.

The remarkable two-day event, which occurred in mid-January 2022, injected vast amounts of volcanic aerosols and water vapor into the atmosphere.

Historically, large volcanic eruptions, like Tambora in 1815 and Mt. Pinatubo in 1991, have had significant cooling effects on the global climate by blocking sunlight with their aerosols.

However, Hunga Tongas eruption presented a unique scenario: As a submarine volcano, it introduced an unprecedented amount of water vapor into the stratosphere, increasing total stratospheric water content by about 10%.

Because water vapor is a powerful greenhouse gas, the eruption cooled the Earth.

Their researchers analyzed satellite data observations of aerosols and water vapor, among other variables, to estimate the energy balance of the Earths climate system.

Their analysis revealed that the eruption resulted in more energy leaving the climate system than entering it, thereby inducing a slight cooling effect.

Our paper casts doubt on the explanation that the eruption caused the extreme warmth of 2023 and 2024, Dessler explained. Instead, we need to focus primarily on greenhouse gases from human activities as the main cause of the warming, with a big assist from the ongoing El Nio.

According to Dessler, this research has important implications for both scientists and the general public.

By dismissing the volcanic eruption as a major factor in the recent warming, the teams study reinforces his point that human-induced greenhouse gas emissions are the primary driver of climate change.

This focus is particularly relevant, given the ongoing debate and misinformation about the causes of global warming.

Moreover, the study underscores the importance of continued investment in satellite-based stratospheric measurements.

While this paper answers several important questions, Dessler acknowledges that it simultaneously introduces new ones.

For instance, the researchers highlighted some unresolved issues related to the Hunga Tonga eruption, such as the unexpectedly low levels of sulfur dioxide produced by such a violent eruption and the minimal impact the eruption had on the 2023 ozone hole.

The 2023 ozone hole refers to a significant thinning of the ozone layer over Antarctica, which allows more harmful UV radiation to reach the Earths surface.Additionally, the persistence of water vapor in the stratosphere beyond what was predicted by models suggests that there is still much to learn about stratospheric circulation processes.

NEWSLETTER

Stay up-to-date on engineering, tech, space, and science news with The Blueprint.

Kapil Kajal Kapil Kajal is an award-winning journalist with a diverse portfolio spanning defense, politics, technology, crime, environment, human rights, and foreign policy. His work has been featured in publications such as Janes, National Geographic, Al Jazeera, Rest of World, Mongabay, and Nikkei. Kapil holds a dual bachelor's degree in Electrical, Electronics, and Communication Engineering and a masters diploma in journalism from the Institute of Journalism and New Media in Bangalore.

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Scientists finally discover sugar that could cure male pattern baldness – Interesting Engineering

Over thousands of men worldwide struggle with the frustrating reality of hair loss. But what if a simple, natural solution could be on the horizon?

Scientists at the University of Sheffield and COMSATS University Pakistan have discovered a sugar compound that could play a role in hair restoration.

They found that a naturally occurring sugar called 2-deoxy-D-ribose, or 2dDR for short, can boost hair growth by promoting the formation of new blood vessels. This vital process nourishes hair follicles, supporting them to produce new hair.

Male pattern baldness is such a common condition, affecting men all over the world, but at the moment there are only two FDA licensed drugs to treat it. Our research suggests that the answer to treating hair loss might be as simple as using a naturally occurring deoxy ribose sugar to boost the blood supply to the hair follicles to encourage hair growth, explained Sheila MacNeil, Emeritus Professor of Tissue Engineering at the University of Sheffield.

Ribose and deoxyribose are both classified asmonosaccharidesor simple sugars found in living organisms.They are essential components of nucleic acids,with ribose found in RNA and deoxyribose in DNA.

Over the past eight years, the team focused on using 2dDR sugar to stimulate blood vessel growth for wound repair. Unexpectedly, they noticed a correlation between wound healing and increased hair growth.

To investigate the sugars effect on hair loss, scientists developed a mouse model with testosterone-driven hair loss. The animal model mimicked the reason for pattern baldness in males.

They observed that a small amount of this naturally occurring sugar promoted hair regrowth by boosting blood flow to the hair follicles. The sugar molecule is considered to promote new hair growth by boosting the synthesis of vascular endothelial growth factor (VEGF).

This discovery could lead to the creation of a potential cure for male pattern baldness, known as androgenic alopecia. This condition impacts up to 50% of males globally.

Results indicate that deoxyribose sugar matches Minoxidils efficacy in stimulating hair growth, presenting a promising natural treatment option.

Minoxidil, marketed as Rogaine and Theroxidil, is one of only two FDA-approved hair loss treatments. As per NewAtlas, the drug has been known to induce side effects like irritation and sensitivity to light. Furthermore, the medicine is less effective for individuals over 40 and those with receding hairlines. And it is not recommended for people who are on blood pressure medications.

This pro-angiogenic deoxy ribose sugar is naturally occurring, inexpensive and stable and we have shown it can be delivered from a variety of carrier gels or dressings. This makes it an attractive candidate to explore further for treatment of hair loss in men, said Professor (Associate) Muhammed Yar (T.I.) of IRCBM, COMSATS University Pakistan, in the press release.

MacNeil stated that the findings are preliminary, but they show great promise. This could offer another approach to treating this condition which can affect mens self-image and confidence, MacNeil said.

Further research could help bring this possible non-invasive, low-cost treatment to patients.

The findings have been published in the journal Frontiers in Pharmacology.

NEWSLETTER

Stay up-to-date on engineering, tech, space, and science news with The Blueprint.

Mrigakshi Dixit Mrigakshi is a science journalist who enjoys writing about space exploration, biology, and technological innovations. Her work has been featured in well-known publications including Nature India, Supercluster, The Weather Channel and Astronomy magazine. If you have pitches in mind, please do not hesitate to email her.

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Making a meal of it: how mealworms and insect protein will change the world – Interesting Engineering

In our most recent episode of Lexicon, we sat down with Jennifer Larouche, the chief scientific officer of Ribozome, a Quebec-based company pioneering the edible insect industry. Ribozome specializes in farming mealworms to produce sustainable, nutritious, eco-friendly edible insect protein.

Jennifer shares her experience and thoughts on the interesting world of mealworm farming, the nutritional and environmental benefits, and the challenges and future potential of edible insects in the food industry.

Join us as we explore this developing field of sustainable and highly scalable protein industry of the future.

During her academic studies, Jennifer Larouches journey into the world of edible insects began in 2016. We were feeding carnivorous fish with housefly larvae. At that time, I did not know that salmon we consume are fed with fish taken from the oceans. I was kind of outraged by that, knowing that edible insects were such an amazing opportunity to feed them, Larouche explained.

She explained that this passion for sustainable protein sources inspired her to co-found Ribozome in 2021 alongside her partner, Danny.

Jennifer explained that farming mealworms is a very tricky process that involves several key stages. One of the key ones being that mealworms are farmed in stackable trays placed on pallets, allowing for efficient use of space.

When it comes to feeding, they are primarily fed dry feed. This, Jennifer explained, is often sourced from local food processors. The mealworm is fed really dry product, and so we usually start with wheat bran and then evolve by adding other residue, said Larouche. This circular economy model reduces waste and uses by-products from other industries.

The mealworms grow for about 8 to 12 weeks, after which they are harvested. The insect will be washed, steamed, boiled, dried, and ground into powder. Most of the time it will be in powder form since people are not really ready to see the insect yet, Larouche noted.

If you are wondering about how this protein tastes, Ribozomes unique drying methods give the mealworm powder a chocolate-like taste, making it more appealing to consumers.

As Larouche explained to IE, one of the standout features of mealworm protein is its nutritional profile.

It compares on the amino acid content, so like animal protein, the profile in amino acid is complete, Larouche explained. This makes mealworms an excellent protein source for those looking to reduce meat consumption without compromising on essential nutrients.

Mealworm powder also contains omega-3 and omega-6 fatty acids and B12 vitamins, which are crucial for a balanced diet. Jennifer went on to explain that, from an environmental perspective, mealworm farming offers significant advantages over traditional livestock farming.

Compared to chicken, the production of mealworms in a circular economy context generates 300 times less greenhouse gas, requires 13 times less water, two times less feed, and three times less space, Larouche highlighted.

These efficiencies make mealworms a highly sustainable protein source that can be produced even in urban areas without causing significant odor or pollution.

Introducing edible insects to the mainstream market comes with its challenges, primarily the yuck factor. Ribozome has taken a strategic approach to overcome this barrier. The best way to introduce insects is by including them in products we are comfortable eating. Thats why we decided to sell our product, which tastes like chocolate, Larouche explained.

For this reason, Ribozome aims to make the transition to insect protein easier for consumers by integrating mealworm powder into familiar foods like cookies and muffins. Theyve even produced a few recipes for using their products on their website.

Ribozome is heavily invested in research to ensure its products safety and nutritional quality. They are collaborating with Laval University on a project to develop a quality assurance tool using metagenomics.

We want to quickly see the microbial community present in our insects and their feed to identify new pathogens or problems that could emerge, Larouche said. This proactive approach aims to mitigate risks and enhance the reliability of mealworm products.

The future of the edible insect industry looks promising, with potential applications extending beyond human food. For the food industry, it will have to pass by the development of various delicious food products. The real way to promote this industry is through animal feeds and pet food, Larouche predicted.

She also explained to IE the growing interest among pet owners in sustainable and hypoallergenic food options, which is why insect protein is perfect. Furthermore, edible insects could play a crucial role in aquaculture.

Feeding fish with insects is a more natural and sustainable option than soybean protein or fish meal, Larouche noted. This could significantly reduce the environmental footprint of fish farming and improve the industrys sustainability.

Reflecting on her journey, Jennifer also shared a memorable moment from her early days working with insects.

We received 2000 crickets in our apartment and realized crickets could eat plastic. They had made a hole in their little cage and there were crickets everywhere in our house, she explained.

Jennifers work at Ribozome highlights the immense potential of edible insects as a sustainable protein source. With continued innovation and consumer education, edible insects could become a staple in our diets, solving many of the environmental challenges associated with traditional livestock farming.

As Larouche aptly put it, The key to success for the insect industry is to develop and market a lot of products, paving the way for a more sustainable future.

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Christopher McFadden Christopher graduated from Cardiff University in 2004 with a Masters Degree in Geology. Since then, he has worked exclusively within the Built Environment, Occupational Health and Safety and Environmental Consultancy industries. He is a qualified and accredited Energy Consultant, Green Deal Assessor and Practitioner member of IEMA. Chris’s main interests range from Science and Engineering, Military and Ancient History to Politics and Philosophy.

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Star Catcher: Worlds first space solar power station gets funding – Interesting Engineering

Star Catcher Industries, a Florida-based startup, has unveiled bold plans to build the worlds first space-based energy grid to power satellites.

In a major boost, the startup has raised $12.25 million in seed funding to build its constellation of power-beaming satellites. The first of these satellites could be in orbit by next year.

Star Catcher Network aims to advance space operations by providing a reliable and abundant power source to the low-Earth orbit satellites.

Were confident Star Catcher will do for orbital power what SpaceX has done for launch. Theyre a proven, veteran commercial space team executing on an audacious vision at high speed, said Andrew Sather, Principal at Initialized Capital who led the funding round.

Beaming energy from space to Earth is a fast-expanding market. For instance, Caltech has been conducting research on space-based solar power and has successfully demonstrated power beaming to Earth.

Moreover, a UK-based company Space Solar has made significant strides in wireless power transmission technology and demonstrated a 360-degree power transmission system. A key advantage of space-based solar power is its ability to provide uninterrupted energy, unlike its Earth-based tech.

However, these initiatives focus on Earths energy demands and do not include satellite power options. Thats where Star Catchers first-of-its-kind network comes in.

The unique energy grid will beam substantial broad-spectrum power to spacecraft in LEO and beyond.

The network will consist of power node satellites positioned in low Earth orbit, around 900 miles (1,500 kilometers) above the Earth. These satellites will harness solar power and transmit it efficiently to customer spacecraft.

By supplying energy at higher intensities than sunlight, the network will allow spacecraft to generate five to 10 times more power than their existing solar arrays.

The need for high-powered space applications is rapidly increasing. It is widely used in orbital telecommunications, computing, remote sensing, human spaceflight, and among other space applications.

As LEOs satellite population explodes to over 40,000 by 2030, Star Catcher forecasts a dramatic increase in power needs to 840 megawatts. The current space power capacity stands at only tens of megawatts.

Star Catcher is expected to dramatically increase space power by providing high-energy input to solar arrays, allowing satellites to do more, operate longer, and save money.

Power infrastructure is the foundational building block of civilization and industry; our goal is to expand that foundation into LEO and beyond with our in-space power grid and service, said Andrew Rush, Co-Founder, President, and CEO of Star Catcher.

Being able to buy power for your spacecraft whenever and wherever you need it in LEO will expand opportunity and accelerate humanity realizing the potential of the second golden age of space, Rush added in the press statement.

The seed funding will be used to conduct ground trials to validate and demonstrate Star Catchers power-beaming capabilities.

After validating the technology through ground trials, Star Catcher will conduct an in-orbit demonstration in late 2025 before fully launching the commercial service.

Once deployed, satellite operators can shift to a shared infrastructure mindset, where power consumption will not be constrained by what satellites bring with them, the release noted.

If this bold is successful, the future satellites will no longer limited by their power source.

NEWSLETTER

Stay up-to-date on engineering, tech, space, and science news with The Blueprint.

Mrigakshi Dixit Mrigakshi is a science journalist who enjoys writing about space exploration, biology, and technological innovations. Her work has been featured in well-known publications including Nature India, Supercluster, The Weather Channel and Astronomy magazine. If you have pitches in mind, please do not hesitate to email her.

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China to launch worlds first thorium molten salt nuclear power station in 2025 – Interesting Engineering

In a significant moment for nuclear energy development, China plans to set up the worlds first molten salt nuclear power station in the Gobi Desert.

The innovative facility, which China claims will start operating by 2025, intends to reshape global energy with its high-end technology and prospects for a safer and greener nuclear power industry.

Instead of uranium, this plant uses thorium as its fuel. Its reactor does not need water for cooling because it utilizes liquid salt or carbon dioxide to transfer heat and make electricity.

One advantage of using thorium as a primary fuel lies in eliminating fears over possible shortage resulting from running out of uranium, which is normally used in reactors; this is due to thorium being more plentiful than uranium.

Thorium, an occurring element with radioactivity, has long been known for its potential as a type of fuel in nuclear reactors.

Unlike uranium-based reactors, thorium reactors have benefits, such as improved safety features and less long-term nuclear waste.

The design of the salt reactor specifically made for using thorium enhances its advantages by ensuring heat transfer and stable operation.

Chinas choice to develop a thorium salt nuclear power plant shows its dedication to progressing energy technologies and addressing environmental issues linked with traditional fossil fuels.

Given the effort to cut carbon emissions and combat climate change impacts, exploring energy sources like thorium-based nuclear power is increasingly important.

One of the hallmark features of thorium reactors is their passive safety measures.

While uranium reactors depend on solid fuel rods, thorium reactors use an environmentally safer liquid mixture of fuel that operates at normal pressure.

Moving away from the water cooling model, this design significantly reduces the chances of meltdowns. Further, it lessens other catastrophic events that follow such an event, creating a more secure version of nuclear power generation.

These relative advantages are rooted in thorium reactors generating less toxic and short-lived radioactive waste than uranium-fueled ones, thereby easing long-term disposal.

The thorium molten salt nuclear power station complements Chinas energy strategy of diversifying the sources and improving security consumption.

Unlike silicon, those more advanced products still need to be for sale (or at least not widespread), making thorium the hot new thing friends are talking about.

This project aligns with Chinas carbon-neutral ambition and showcases its leadership role in global initiatives on climate change.

Aside from its environmental benefits, the thorium molten salt nuclear power station also has geopolitical significance.

While countries invest to guarantee equality of footing for the future, as die-cast in shifting populism and nationalism trends shaping the global dynamics portfolio, how relationships are made may soon be changed greatly when looking at possible strategic alliances emerging due to nuclear inheritances.

The launch and operation of such a station in China will surely set a benchmark for all other countries with alternative nuclear energy desires.

The example outlined in this design lays down one of the cornerstones for pursuing cleaner, safer, and more efficient future energy sources.

While the world remains cautiously optimistic about Chinas strides in creating a new nuclear paradigm, leading questions will revolve around the technological developments and potential social implications facing these thorium-based reactors today.

A station then would pave the way for new energy technologys transformative adoption and could significantly shape global energy systems over opened because of a first-ever successful operation.

NEWSLETTER

Stay up-to-date on engineering, tech, space, and science news with The Blueprint.

Kapil Kajal Kapil Kajal is an award-winning journalist with a diverse portfolio spanning defense, politics, technology, crime, environment, human rights, and foreign policy. His work has been featured in publications such as Janes, National Geographic, Al Jazeera, Rest of World, Mongabay, and Nikkei. Kapil holds a dual bachelor's degree in Electrical, Electronics, and Communication Engineering and a masters diploma in journalism from the Institute of Journalism and New Media in Bangalore.

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Silkworms, shrimps can help repair damaged skin and bones: EU researchers – Interesting Engineering

Researchers are working on new nature-based solutions to help in skin and bone repair, and the new method involves the use of silkworms and even shrimps.

With silkworms, scientists are hoping that they can be used to regenerate human tissue.

This research, funded by the European Union, is being conducted at multiple locations across the globe.

The researchers are trying to decode tissue engineering as a new strategy to tackle the growing need for surgeries or transplants needed in case of diseases, accidents or age-related issues.

Silk is now emerging as a promising nature-based option for stimulating human tissue to self-regenerate.

One such study is SHIFT, which aims to find out how natural materials can help tissues create natural blood vessels through the tissue engineering process.

Partners of the EU-funded SHIFT project have designed several devices with bio-based polymers capable of promoting the regeneration of skin, bone, and cartilage during the implementation of MSCA-RISE REMIX (2017-2021).

SHIFT aims to take the research a step forward and design innovative, natural-based, scalable constructs that enhance angiogenesis for the treatment of widespread chronic pathologies, such as large defects in bone, and cartilage and the treatment of chronic wounds (ex., diabetic ulcer).

Further, the SkinTERM project is another one where researchers are trying to treat skin wounds by recapitulating skin embryonic development in adults while striving to regenerate rather than repair skin.

Skin organogenesis will be induced using key elements from the extracellular matrix of fetal skin and the skin of species that exhibit scarless regeneration, along with (stem) cells from relevant origins.

The starting point for the study is the remarkable capability of early fetal skin and skin from the spiny mouse (Acomys) to heal perfectly without scars/ contraction and with appendices such as hair follicles.

According to a recent report in Horizon: The EU Research and Innovation Magazine, the silk produced from thoroughbred silkworms can be used to build some sort of scaffold in damaged tissues.

The cells in these damaged tissues, using this scaffold, can then form new tissues and blood vessels.

According to the report, the process can be used to treat conditions such as diabetic ulcers and lower back pain.

The SHIFT team has been trying to find minimally invasive options that can be used to pass on the treatment to the patients bodies.

At the end of the SHIFT project, the team aims to have two or three prototypes using silkworms or other marine organisms that can directly benefit humans.

The teams are also looking at how they can use textile and food industry wastes to find out solutions for helping the human race.

Professor Antonella Motta, a researcher in bioengineering at the University of Trento in Italy and a prominent member of the SHIFT project, says that nature-based rather than synthetic approach is the way to go and thinks treatments harnessing SHIFTs methods could become available in the early 2030s.

NEWSLETTER

Stay up-to-date on engineering, tech, space, and science news with The Blueprint.

Abhishek Bhardwaj Abhishek brings a wealth of experience in covering diverse stories across different beats. Having contributed to renowned wire agencies and Indian media outlets like ANI and NDTV, he is keenly interested in Tech, Business and Defense coverage.

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Intelligent systems engineering with modelling, simulation and AI – Engineer Live

How integrating modelling, simulation and AI is paving the way for automated product development and intelligent systems engineering.

Sustainability is becoming more and more embedded into product design processes across a multitude of industries, from cleaner vehicles and more efficient industrial equipment to advanced materials engineering. A combination of modelling, simulation, artificial intelligence (AI) and machine learning (ML) is helping this evolution on its way in the form of autonomous mobile robots (AMRs). But while great strides are continually being made using these innovative technologies, there is still untapped potential waiting to be unleashed, believes Philippe Bartissol, VP of Industrial Equipment at Dassault Systemes.

Product and machine design is evolving through what we call MODSIM AI, which is modelling, simulation and AI all together in one platform 3DEXPERIENCE also with sustainability calculations and Lifecycle Analysis (LCA) added in, he says. When you develop a new product, you should also think from a service engineering perspective: How am I going to service, maintain and retrofit the new range once it reaches the market? It is not only product design engineering that matters, but also the system, production and service engineering processes you offer throughout that products lifecycle.

MODSIM unifies modelling and simulation on a common data model within the 3DEXPERIENCE platform to allow engineers to consider the entire product development process for an AMR in one place. More than just simulation-driven design, MODSIM enables simulation to drive the entire product development cycle from beginning to end, including requirements, validation, certification, development, programme management, design processes and automation.

We have plugged the largest database of CO2 emissions calculations into the 3DEXPERIENCE platform, so that engineers can explore all aspects of the product design process, Bartissol explains. Engineers can simulate design and material options, manufacturability, modularity for disassembly later on, and for the calculations there is an LCA capability built into the platform that, when engineers are generating design, material and manufacturing alternatives, the system will tell them immediately what the CO2 impacts will be. Then, from a sustainability perspective, engineers must look at longer life pieces of equipment and future product lines.

This is where designing for retrofit comes into the conversation, he adds. Putting together the business case of retrofitting versus new, engineers need to consider how much value they can increase if they retrofit, and what is the cost. Looking at this like an infinity loop, you would have in the beginning design engineering, manufacturing, service engineering then selling, producing and installing. Then, during the life of the equipment, there will be a value for certain costs. When the value is not enough in operation while using the piece of equipment, engineers have two possibilities: either to retrofit or to buy a new product. So, by working on the after sales of the retrofit possibilities, engineers can extend the life of a machine or product with less of an impact on the environment.

To enable greater retrofit possibilities, designing AMRs and other machine equipment for modularity from the start is crucial, Bartissol says.

We have all these initiatives to design for cost, for service, for simulation driven design, but this is not enought. We should be designing for retrofit and that should be the primary goal for design right now, he explains. Engineers need to take the view: what will this piece of equipment become over the next 10, 20, or 50 years? This is important on two counts, for the environment and sustainability but also for profitability.

A modular product range demands advanced design software capabilities, such as modelling and simulation. You need to have a software or PLM simulation platform that sustains modularity, Bartissol adds. With this, you can carry out configuration, define modules, interfaces and so on. This is what we are striving for. With these capabilities, you can choose your reason for retrofitting: to consume less energy, to save water, to reduce noise, to be more agile, or to be IoT capable, for instance.

Due to the current skills and worker shortages across production industries, we will see more and more automation, Bartissol predicts. We used to have very long runs in production lines but now these have shortened, meaning we need to work in a more agile mode to rapidly adapt to changes. We now see a new domain emerging called intralogistics, which is the merging of robots, AMRs, forklifts, conveyors and automated storage capabilities, among other things. All these elements are connected by a global controller PRC or MES to create wholly automated warehouse systems.

Looking to the near future, Bartissol foresees the combination of AMRs and AI to be adopted effectively in logistics centres and production lines, with humans playing their part at the beginning and end of the product development and manufacturing process, but not in the middle.

Most of this will be robots working together with human beings in a safe and optimised system, he says. The actors are transforming themselves, and we see more and more integration capabilities and layers all in one place. The ones who are investing now and investing heavily are the ones who will likely win in the future.

DIGITAL TWIN SIMULATIONS

As Bartissol says, simulation-driven design is closely interlinked with digital twins, where engineers can model and simulate various scenarios and designs of machines in order to capture and feed data into the AI algorithms on the 3DEXPERIECE platform.

Engineers can adapt the digital twin of a machine to optimise different simulations and analyse the data, such as the event of a machine crash or failure, he explains. Through this, you can see the cause and understand how to prevent this. Also, by observing the behaviour of the equipment over time, you will be able to predict the next failure. Simulation of models helps you to not only understand the past, but also navigate into the future and improve overall equipment efficiency.

Now, some of our customers are asking us to create specific twins of each machine: an engineering twin, a manufacturing twin, and in the future a field twin. This allows the opportunity to switch to an equipment-as-a-service business model. MODSIM AI will serve not only during new product development, but also when the equipment is in operation and requires maintenance.

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Analytics and Data Science News for the Week of July 26; Updates from Databricks, KNIME, Tableau & More – Solutions Review

Solutions Review Executive Editor Tim King curated this list of notable analytics and data science news for the week of July 26, 2024.

Keeping tabs on all the most relevant analytics and data science news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week, in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy analytics and data science news items.

Databricks customers can use Mosaic AI to serve and fine-tune the Llama 3.1 models, connect them seamlessly to Retrieval Augmented Generation (RAG) and agentic systems, easily generate synthetic data for their use cases, and leverage the models for scalable evaluation.

Read on for more

Gigasheet for Databricksoffers a practical, centrally managed solution to data democratization challenges faced by modern businesses. Gigasheet combines the power of big data with the simplicity of a spreadsheet, empowering business users to explore and analyze data independently.

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The AI-powered Data Observability Starter Kit from Grid Dynamics simplifies data quality onboarding and provides a range of comprehensive checks, ensuring that clients can effectively monitor data quality across all of their data types.

Read on for more

Cybersecurity and data analytics skills are essential forartificial intelligence (AI)innovation, enabling professionals to extract insights, secure critical information, drive informed decisions, and create value across industries in an increasingly data-centric and security-conscious world.

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With KNIME, companies no longer have to resort to outright bans, but can use GenAI securely and according to their own risk assessment and internal policies. Every company wants to build GenAI into their work, reap efficiencies, and move their pilot projects into production. With this release of KNIME Analytics Platform and KNIME Business Hub, they can do just that.

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Direct access to the data warehouse gives marketing teams no-code access to analyze their customer behavior and performance of marketing campaigns without reliance on BI or analyst teams. MessageGears analytics empowers marketing teams to respond quickly to customer behavior, reduces dependence on other internal teams and drastically improves data security.

Read on for more

Whether youre an experienced data analyst or just starting your journey in data exploration, Einstein Copilot for Tableau augments your Tableau experience to make analytics more accessible so everyone can unlock insights and make informed decisions with confidence.

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Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Reviews enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.

Arman Eshraghi is a serial entrepreneur presently serving as Founder and CEO at Qrvey, an advanced embedded analytics platform for Enterprise companies. Armans professional career includes founding four B2B software companies while also serving as an advisor to numerous startups and entrepreneurs.

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In the aftermath of World War II, as Japan grappled with economic challenges and sought ways to improve product quality, an unlikely hero emerged: W. Edwards Deming. An American statistician and management consultant, Deming would go on to revolutionize education and industry using data-driven principles.

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For consideration in future data protection news roundups, send your announcements to the editor: tking@solutionsreview.com.

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Analytics and Data Science News for the Week of July 26; Updates from Databricks, KNIME, Tableau & More - Solutions Review

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The 7 Best Data Science Courses That are Worth Taking in 2024 – TechRepublic

A career in data science involves using statistical, computational and analytical methods to extract insights from data. Data scientists regularly use programming languages like Python and R alongside machine-learning algorithms and data-visualisation software.

The need for data scientists has surged across various sectors, including finance, healthcare and technology, making it a highly sought after and lucrative profession. According to the U.S. Bureau of Labor Statistics, the average annual salary for data scientists in 2023 was $108,020, while demand for them is expected to increase by 35% in the next eight years much faster than average for all occupations.

SEE: What is Data Science? Benefits, Techniques and Use Cases

Online courses and certifications provide accessible pathways into the field, as many can fit around existing responsibilities like a day job. Such programs provide the expertise required for an individual to land their first data science role or just discover whether the career is for them. TechRepublic takes a look at the top six data science courses available in 2024 for learners with different goals and levels of experience.

SEE: How to Become a Data Scientist: A Cheat Sheet

The Data Science Professional Certificate from IBM, hosted on Coursera, offers a great starting point for those interested in learning about data science but dont fully understand what a career in it would entail. This course provides an overview of the tools, languages and libraries used daily by professional data scientists and puts them into practice through a number of exercises and projects. The final Capstone project also requires the student to create a GitHub account, encouraging them to familiarise themselves with the site and collaborate.

$49/38 per month after a seven-day free trial.

Six months at ten hours a week.

None.

DataCamp is another well-regarded provider of data-related courses, and one of its highest rated is titled Associate Data Scientist in Python. It sets itself apart with its unique hands-on coding exercises, one of which involves manipulating and visualising data on Netflix movies. Language-wise, this course exclusively uses Python, but introduces learners to multiple libraries including pandas, Seaborn, Matplotlib and scikit-learn. Knowledge of Python is not required for this course, as the necessary skills are taught along the way.

$13/11 a month for full access.

Nine weeks at ten hours a week.

None.

While many data science courses are taught with Python due to its popularity and simplicity, R Programming A-Z on Udemy is aimed at learners looking to get to grips with R and RStudio. R is a powerful language used frequently in data science for handling complex data sets. This course assumes no prior knowledge and starts with the very basics of R programming, including variables and for() loops, before looking at matrices, vectors and more advanced data manipulation. Large projects that help cement learning use real-world financial and sports data.

$109.99/69.99.

10.5 hours of lectures + exercises.

None.

Applied Data Science Specialization, another course by IBM, fast tracks data science beginners towards skills with real-life applications. Python skills for data analysis and visualisation are taught assuming no prior knowledge of the language and are then put into practice in the interactive labs and projects. These cover the extraction and graphing of financial data, creation of regression models to predict housing prices and visualisation of data treemaps and line plots on Python dashboards. By the end of the course, participants should have solidified their practical Python skills to the extent that they can confidently explore more advanced topics like big data, AI and deep learning.

$49/38 per month after a seven day free trial.

Two months at ten hours a week.

None.

As the title suggests, this course from DeepLearning.ai has a particular focus on mathematics for data scientists. Mathematics underpins the profession and is essential for understanding algorithms, cleaning data, drawing insights, visualisation, evaluating models and more. The course covers the fundamental mathematical toolkit of machine learning, including calculus, linear algebra, statistics and probability. Learners say it provides a good entry point into the theory of data science and the lab exercises are practical.

$49/38 per month after a seven-day free trial.

Six weeks at ten hours a week.

A high school level of mathematics and a basic knowledge of Python is recommended.

The Statistics and Data Science with Python course presented by the Massachusetts Institute of Technology is by far the most comprehensive course featured on this list. The so-called MicroMasters takes learners over a year to complete and prepares them for their first career in data science. It provides a graduate-level introduction to concepts such as statistical inference and linear models, as well as practical experience building machine learning algorithms. It is designed to fit around a day job or university study while not compromising on the level of content.

$1,350/1,186.

One year and two months at ten hours a week.

University-level calculus and comfort with mathematical reasoning and Python programming are recommended.

The key difference between data analysis and data science is that the former primarily looks to interpret existing data, while the latter involves creating new ways of doing so.

Data analysis focuses on examining datasets to identify trends, draw conclusions and support business decisions. It involves cleaning, transforming and modelling data to extract useful information, often using tools like Excel and SQL. It is performed by data analysts who are typically hired into a wide range of industries, including marketing firms, government agencies, healthcare providers, financial institutions and more.

Data science, on the other hand, integrates data analysis with advanced machine learning algorithms, predictive modelling and big data technologies. Data scientists often develop new tools and methods to handle complex problems and derive insights from large-scale datasets. Skills required for this include proficiency in programming languages such as Python and R, as well as a deeper understanding of statistical methods and machine learning.

SEE: 10 Signs You May Not Be Cut Out for a Data Scientist Job

Data science remains in high demand in 2024. The IDC estimates that the amount of data worldwide will reach 291 zettabytes by 2027, and as growth continues, more data professionals will be needed to manipulate and interpret it. Furthermore, many of the key industries within which data scientists work are expanding, such as AI, machine learning and the Internet of Things, while others provide core services such as healthcare, energy, finance and logistics. Salaries also reflect this high demand as, according to Glassdoor, the average base pay of a data scientist in the U.S. is $113,000.

Opinions on online data science courses vary within the industry. For some, there are enough free resources available through platforms like YouTube to render paid courses unnecessary. They may also argue that there is no substitute for hands-on experience, and that even beginners should learn the necessary skills by downloading an open-source dataset and attempting to manipulate it themselves.

However, the key to learning anything new is persistence, and it can be difficult to remain motivated without a defined learning programme to follow, coursemates to connect with or a course fee at risk of going to waste. For individuals with a tendency to start projects but not finish them, an initial investment in a structured course may provide the motivation they need. Many paid courses also give direct access to qualified instructors who can provide tailored help that would otherwise not be available.

Ultimately, there are certainly opportunities to break into data science without taking any type of online course. However, if structured learning provides the skills or motivation you desire, then the investment may be worth it.

When assessing online courses, TechRepublic examined the reliability and popularity of the provider, the depth and variety of topics offered, the practicality of the information, the cost and the duration. The courses and certification programs vary considerably, so be sure to choose the option that is right for your goals and learning style.

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The 7 Best Data Science Courses That are Worth Taking in 2024 - TechRepublic

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5 Tools Every Data Scientist Needs in Their Toolbox in 2024 – KDnuggets

As the world of data grows, so does the world of data science. To keep up with the data science world is a full-time job in itself. The market is ever-growing and tools are developing and dropping into the market causing chaos. And then you have the problem of learning these new tools, understanding their full potential, what can it replace or if its just another add-on.

Keeping up with all of this can be draining. This is why it is important to have the right tools in your data scientist toolbox to excel at what you do.

A good tool improves the way you work. A great tool improves the way you think.

If youre going to choose a programming language for data science - it will most probably be Python. Its a gold standard, with the largest data science user base. A lot of data science tools are written using Python and the community is the largest, fastest growing and most active. Youll be silly not to have this in your toolbox!

Courses to learn Python:

Maths and statistics. The elements of data science that make sure data science makes sense! They are the building blocks of machine learning algorithms. They help you understand a problem and allow you to use them to find a solution. From identifying patterns to outputting desired results from large complex data sets, data scientists can extract insights and reliably interpret results using maths and statistics.

Courses to learn Maths and Statistics:

As a data scientist, you should take pride in your findings and make them look pretty! But also remember that other stakeholders may not be highly technically inclined therefore visualisations are important to them. Its how they understand data science. Being able to visualise your insights in various ways will help you better communicate them without having to do much talking.

There are different libraries you can use such as Matplotlib or there are visualisation tools available such as Tableau - you just need to find which one works for you and your organisation.

Courses to learn data visualisation:

Structured Query Language, SQL for short is a programming language designed for managing data in a relational database. As a data scientist, you will be managing a lot of databases and SQL is your key to combing through the data. With SQL, you will be able to work with structured data stored in databases in which you can easily extract, manipulate, and analyse data. You may want to learn primarily Python or SQL, or you may want to be untouchable and learn both!

Courses to learn SQL:

As the data science, machine learning and artificial intelligence world becomes prominent in our day-to-day lives. It is also important that there are tools and software that developers can use to ensure the pipeline is accurate and effective from start to finish. Frameworks provide a flexible range of software components that help developers accelerate software development to production deployment.

When it comes to frameworks, there are a range of frameworks that are popular in the data science world, for example, TensorFlow, PyTorch, Pandas, Keras and more. As a data scientist, you must learn all of these frameworks as they could be beneficial to you at different times.

Courses to learn different Frameworks:

A data scientist's learning journey is endless. There will always be new tools and software entering the market. However, if you have the right tools in your toolbox, learning new skills will be a breeze.

Nisha Arya is a data scientist, freelance technical writer, and an editor and community manager for KDnuggets. She is particularly interested in providing data science career advice or tutorials and theory-based knowledge around data science. Nisha covers a wide range of topics and wishes to explore the different ways artificial intelligence can benefit the longevity of human life. A keen learner, Nisha seeks to broaden her tech knowledge and writing skills, while helping guide others.

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5 Tools Every Data Scientist Needs in Their Toolbox in 2024 - KDnuggets

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