• What’s the metaverse, and who will construct it?
    3D Game Development

    What’s the metaverse, and who will construct it?

    What’s the metaverse, and who will construct it?

    Picture: XH4D / Getty Photos

    The digital world is more and more encroaching on the actual one, through totally immersive digital actuality (VR) headsets for gaming and a rising variety of enterprise use instances, augmented actuality (AR) units that overlay digital info on the actual world, and combined actuality (MR) environments, the place you’ll be able to work together with digital objects inside your real-world environment. 

    These applied sciences and their creating successors, collectively referred to as prolonged actuality (XR), are coalescing – together with different constructing blocks corresponding to blockchain, cryptocurrencies and NFTs, synthetic intelligence, 3D design, holography, IoT, 5G and 6G, cloud and edge computing – into the idea of the ‘metaverse’, which will be regarded as the whole lot of the ensuing immersive web expertise, as soon as all of the items are linked. 

    In some ways, the metaverse is the following, 3D model of the net and is predicated on most of the similar applied sciences as Web3, with the same decentralised, user-driven focus.

    A look at Google Tendencies exhibits that ‘metaverse’ may be very a lot the brand new child on the block, with a dramatic enhance in search curiosity across the time (Oct 28, 2021) that Fb renamed itself Meta.

    Google Trends: AR, VR & Metaverse

    Knowledge: Google Tendencies / Chart: ZDNET

    So, how large is that this metaverse going to be, who will its denizens be, and who will construct it? 

    The metaverse market

    Clearly the metaverse does not exist but even when large tech firms are racing to make it occur. Which means placing up numbers for income, or anything, is tough. Administration marketing consultant agency McKinsey in a current report, estimated that the metaverse may generate $4-$5 trillion throughout client and enterprise use instances by 2030. 

    McKinsey: Metaverse market in 2030

    Picture: McKinsey

    Regardless of all this optimism, it is vital to recognise that we’re very a lot at the beginning of this journey. In response to McKinsey, sectors main the best way on metaverse adoption embrace power & assets, excessive tech, media & leisure, and automotive, equipment & meeting, whereas laggards embrace building and transport & logistics. 

    McKinsey: Metaverse adoption by sector

    Picture: McKinsey

    In the meantime, in its 2022 Hype Cycle for Rising Applied sciences, analyst Gartner recognized ‘Evolving/increasing immersive experiences’ as a key theme, putting metaverse within the early-stage Innovation Set off part with a horizon of ‘greater than 10 years’ earlier than maturity (the Plateau of Productiveness) is reached. 

    Gartner: Hype Cycle for Emerging Technologies 2022

    Picture: Gartner

    What the surveys say

    In its Worth creation within the metaverse report, McKinsey says it expects the typical web consumer to spend as much as six hours a day in metaverse experiences by 2030, which is a thought-provoking prediction. Clearly a number of growth must occur between now and the tip of the last decade to get the consumer expertise as much as this stage.

    To get an concept of the present state of adoption in two key metaverse elements, VR and AR, we will study a current survey from Pc Economics (a service of Avasant Analysis).

    Canvassing 212 IT organisations worldwide between November 2021 and February 2022, the Know-how Tendencies 2022 survey requested about tech adoption plans for the interval as much as H2 2023, in addition to ROI (return on funding), TCO (complete value of possession) and buyer satisfaction.

    Pc Economics used the responses to characterise the relative maturity and relative danger related to the 14 applied sciences lined within the survey. 

    Computer Economics: AR/VR maturity & risk-reward

    Photos: Pc Economics (crimson highlights by ZDNET)

    VR and AR trailed the sector on maturity, situated within the low funding/low adoption sector (above, left). In response to Pc Economics, “Digital and augmented actuality nonetheless suffers from type elements being clumsy and infrequently tethered to bigger machines. Nonetheless, the know-how is getting simpler to make use of. We count on it to develop as this occurs.”     

    Relating to danger/reward (above, proper), VR and AR are within the low danger/average reward sector. “With AR/VR applied sciences, value is predictable, however ROI is usually tough to measure or is unclear,” the report mentioned. 

    The information on buyer satisfaction wasn’t nice both, with simply HR/HCM (human assets/human capital administration) programs getting a decrease ranking. 

    Computer Economics: AR & VR customer satisfaction

    Picture: Pc Economics (crimson spotlight by ZDNET)

    An April 2022 survey carried out by Agora, which develops APIs for embedding real-time video and voice into functions, canvassed 300 US-based builders for his or her views on the metaverse. Key findings had been:

    • Knowledge privateness and safety had been the most important hurdles the metaverse has to beat (33% of respondents).
    • Gaming and leisure will profit probably the most or expertise the best optimistic impression from the metaverse (26% every).
    • Greater than half (55%) of respondents assume the metaverse is more likely to substitute real-life, in-person social interactions within the subsequent 5 years.
    • A majority (53%) of respondents consider NFTs will grow to be the most important metaverse forex within the close to time period, and 57% assume the metaverse will grow to be the most well-liked place to purchase, retailer and commerce cryptocurrency.
    • Cryptocurrency and blockchain know-how developments can be important to shaping the way forward for the metaverse, in response to 70% of respondents.
    • Greater than half (55%) of respondents assume that Meta (previously Fb) will come to ‘personal’ the metaverse, adopted by Google (9%), Microsoft (7%), Apple (6%) and Amazon (5%).
    Agora survey: metaverse-hurdles

    Picture: Agora

    There’s clearly loads to play for within the VR/AR and metaverse area, though present implementations depart a lot to be desired. That is why many gamers – together with the most important tech firms on the planet – are getting concerned. Let us take a look at the present state of affairs.

    Key metaverse distributors and merchandise 

    McKinsey breaks the metaverse into 10 layers that fall into 4 core classes: Content material and experiences; Platforms; Infrastructure and {hardware}; and Enablers. 

    Content material and experiences 

    • Content material from first events, builders, creators and customers that “enriches the metaverse experiences”.

    • Functions tied to particular metaverse use instances, corresponding to collaboration. 

    • Digital worlds the place customers can collect, work together and create. 

    Platforms 

    • Entry and discovery platforms corresponding to search engines like google and app shops that facilitate distribution and discovery of content material. 

    • Creators/3D growth platforms for constructing 3D experiences. 

    Infrastructure and {hardware}  

    • Gadgets, OSs and equipment that make up the human interface layer. (Right now, units are largely PCs, laptops, smartphones or head-mounted shows. Sooner or later, the metaverse could also be accessed through sensible contact lenses and even brain-computer interfaces.) 

    • Infrastructure – the compute, networking and storage assets that energy the metaverse.  

    Enablers  

    • Safety, privateness & governance, together with content material moderation platforms. 

    • Identification platforms that handle digital identification, avatars and social graphs. 

    • Funds & monetization – platforms and instruments to allow the metaverse financial system. 

    Listed below are some main metaverse firms assigned to those layers. It is in no way an exhaustive listing, however what’s clear is that there are a number of firms jostling for place in numerous segments, which means that we’re more likely to see vital M&A exercise because the market matures.


    That are the main metaverse firms in 2022? After inspecting a pattern of current articles on the topic, we discovered that these had been talked about most frequently:

    Leading metaverse companies

    Knowledge & chart: ZDNET

    Let’s check out the highest six metaverse firms on the listing (with eight or extra citations in our pattern). 

    Meta 

    The canonical metaverse firm is the one which renamed itself after the idea – Meta, the Large Tech firm previously referred to as Fb. Having spent $10 billion on metaverse growth in 2021 and dealing to a 10-15-year timeline, Meta’s present portfolio is constructed across the Meta Quest 2 VR headset, the Horizon Worlds social VR platform, and Horizon Workrooms, a digital collaboration area. The corporate unveiled its subsequent high-end VR headset, Meta Quest Professional, on the Meta Join 2022 convention on October 11, in addition to saying updates to Horizon Worlds and Horizon Workrooms, plus a collection of latest partnerships.

    Roblox 

    With 58.5 million each day energetic customers in over 180 international locations (as of September 2022), Roblox is a number one metaverse participant that has seen speedy progress throughout the COVID-19 pandemic. Roblox supplies a platform, Roblox Studio, for creating on-line video games (or ‘experiences’, as the corporate prefers), of which there are over 30 million, the corporate says. Roblox customers, who largely fall into youthful (beneath 24) age teams, could make in-game purchases utilizing the Robux forex, whereas builders can earn a living through the Developer Change. In response to Roblox, 2.7 million individuals earned Robux in June 2022, and over $580 million was paid to builders within the 12 months ending June 30, 2022. 

    Microsoft 

    Microsoft’s metaverse technique encompasses two major spheres. One is ‘industrial’, utilizing platforms corresponding to Azure Digital Twins to mannequin real-world entities digitally, hyperlink them to their bodily counterparts through IoT sensor inputs, after which analyse the ensuing information flows to extract insights. The opposite covers the way forward for work, and is constructed round Mesh for Microsoft Groups, which incorporates avatars (at the moment waist-up solely), digital conferences and drop-in areas that purpose to recreate ‘watercooler moments’ in digital type. These metaverse parts will be accessed through headsets corresponding to Microsoft’s Hololens, in addition to extra mundane units, corresponding to PCs, tablets and smartphones.   

    Unity

    The metaverse is all about high-quality 3D areas, and Unity is a number one sport engine developer with ambitions to department out past gaming to embrace all method of digital worlds and functions. In August, for instance, Unity introduced a partnership with Microsoft to make use of Azure as its cloud associate for constructing and working real-time 3D (RT3D) experiences with the Unity engine. There are a number of Unity services for 3D builders, together with Unity Professional, Sport Server Internet hosting, Unity Plus, Plastic SCM Cloud Version and Unity Advertisements.   

    Nvidia 

    Graphics, AI and high-performance computing is a combination that is tailored for the metaverse, and Nvidia is staking its declare on this area with Nvidia Omniverse. A multi-GPU scalable platform for creating digital worlds based mostly on Pixar’s USD (Common Scene Description) customary and Nvidia’s RTX ray-tracing and AI know-how, Omniverse presents a number of instruments, apps and plugins that creators can use to construct digital worlds. In response to the corporate, in August 2022 round 700 firms around the globe had been utilizing Omniverse to “improve architectural and product design, simplify visible results workflows and construct digital twins of factories, cities and the planet”.   

    Decentraland 
    A digital social platform powered by the Ethereum blockchain, Decentraland is constructed, owned and ruled by its consumer base. It has its personal system of digital property (LAND), its personal cryptocurrency (MANA) and its personal smart-contract-powered governance system (DAO). You should purchase parcels of LAND utilizing MANA, create 3D environments, functions or video games, and commerce Decentraland property within the Market. The shortage of centralised management implicit in its title units Decentraland aside from, for instance, Second Life.

    Outlook 

    Even a quick tour of ‘the metaverse’ because it exists in 2022 reveals a number of transferring elements, together with a number of platforms, digital worlds and functions, plus a creating ecosystem of companies protecting digital identification, safety, privateness and monetisation.

    Because the idea and its execution matures, it is probably that any metaverse market shake-out will depart the standard Large Tech suspects – Meta, Microsoft, Google, Amazon – within the driving seat. Whether or not different present contenders, notably Nvidia, will have the ability to leverage the rising metaverse market to achieve a spot on the high desk stays to be seen. Then after all, there’s Apple ready within the wings.

    Additionally up for grabs is whether or not ‘the metaverse’ will stay a set of separate digital worlds or evolve right into a extra open, standards-based and interoperable atmosphere, as envisaged by the Metaverse Requirements Discussion board, which launched in June 2022. Whichever mannequin involves dominate, it is clear that the way forward for communication and collaboration can be totally different: in December 2021, Invoice Gates predicted that inside two or three years most digital conferences will transfer from 2D digital camera picture grids to the metaverse – “a 3D area with digital avatars”.

    In a separate article, we’ll discover what the present expertise of an avatar assembly in a digital 3D area is like.

    MORE METAVERSE CONTENT

    Google’s futuristic 3D assembly tech is taking one other step ahead

    The whole lot Meta simply revealed at its Meta Join 2022 occasion

    Lenovo’s new ThinkReality VRX headset is an all-in-one gateway to the enterprise Metaverse

    The metaverse has one large problem to beat, says Autodesk CEO Andrew Anagnost

    Nvidia’s Omniverse: The metaverse is a community not a vacation spot

    From storytelling to storyliving: How Samsung is constructing its metaverse for tomorrow

    From Nvidia to IKEA: This is who’s becoming a member of the Metaverse Requirements Discussion board

    HoloLens chief Kipman is out. So what’s subsequent for Microsoft’s metaverse technique?

    Microsoft readies its newest ‘industrial metaverse’ pitch

    Sony and Lego’s father or mother firm make investments $2 billion in Epic Video games to assist construct the metaverse

    Qualcomm launches $100m metaverse fund as it really works with Sq. Enix on XR gaming

    Nvidia’s new Omniverse instruments will make it simpler than ever to construct digital worlds

  • Mathematical model predicts best way to build muscle
    Mathematic

    Mathematical model predicts best way to build muscle

    Mathematical model predicts best way to build muscle
    Figure 1. The “textbook” hierarchy in the anatomy of skeletal muscle. The overall muscle is characterized by its cross-sectional area (CSA), which contains a certain number (Nc) of muscle fibers (the muscle cells with multiple nuclei or multinucleate myocytes). A given muscle has a nearly fixed number of myocytes: between Nc ≈ 1000 for the tensor tympani and Nc > 1,000,000 for large muscles (gastrocnemius, temporalis, etc. Credit: DOI: 10.1016/j.bpj.2021.07.023

    Researchers have developed a mathematical model that can predict the optimum exercise regimen for building muscle.

    The researchers, from the University of Cambridge, used methods of theoretical biophysics to construct the model, which can tell how much a specific amount of exertion will cause a muscle to grow and how long it will take. The model could form the basis of a software product, where users could optimize their exercise regimens by entering a few details of their individual physiology.

    The model is based on earlier work by the same team, which found that a component of muscle called titin is responsible for generating the chemical signals which affect muscle growth.

    The results, reported in the Biophysical Journal, suggest that there is an optimal weight at which to do resistance training for each person and each muscle growth target. Muscles can only be near their maximal load for a very short time, and it is the load integrated over time which activates the cell signaling pathway that leads to synthesis of new muscle proteins. But below a certain value, the load is insufficient to cause much signaling, and exercise time would have to increase exponentially to compensate. The value of this critical load is likely to depend on the particular physiology of the individual.

    We all know that exercise builds muscle. Or do we? “Surprisingly, not very much is known about why or how exercise builds muscles: there’s a lot of anecdotal knowledge and acquired wisdom, but very little in the way of hard or proven data,” said Professor Eugene Terentjev from Cambridge’s Cavendish Laboratory, one of the paper’s authors.

    When exercising, the higher the load, the more repetitions or the greater the frequency, then the greater the increase in muscle size. However, even when looking at the whole muscle, why or how much this happens isn’t known. The answers to both questions get even trickier as the focus goes down to a single muscle or its individual fibers.

    Muscles are made up of individual filaments, which are only 2 micrometers long and less than a micrometer across, smaller than the size of the muscle cell. “Because of this, part of the explanation for muscle growth must be at the molecular scale,” said co-author Neil Ibata. “The interactions between the main structural molecules in muscle were only pieced together around 50 years ago. How the smaller, accessory proteins fit into the picture is still not fully clear.”

    This is because the data is very difficult to obtain: people differ greatly in their physiology and behavior, making it almost impossible to conduct a controlled experiment on muscle size changes in a real person. “You can extract muscle cells and look at those individually, but that then ignores other problems like oxygen and glucose levels during exercise,” said Terentjev. “It’s very hard to look at it all together.”

    Terentjev and his colleagues started looking at the mechanisms of mechanosensing—the ability of cells to sense mechanical cues in their environment—several years ago. The research was noticed by the English Institute of Sport, who were interested in whether it might relate to their observations in muscle rehabilitation. Together, they found that muscle hyper/atrophy was directly linked to the Cambridge work.

    In 2018, the Cambridge researchers started a project on how the proteins in muscle filaments change under force. They found that main muscle constituents, actin and myosin, lack binding sites for signaling molecules, so it had to be the third-most abundant muscle component—titin—that was responsible for signaling the changes in applied force.

    Whenever part of a molecule is under tension for a sufficiently long time, it toggles into a different state, exposing a previously hidden region. If this region can then bind to a small molecule involved in cell signaling, it activates that molecule, generating a chemical signal chain. Titin is a giant protein, a large part of which is extended when a muscle is stretched, but a small part of the molecule is also under tension during muscle contraction. This part of titin contains the so-called titin kinase domain, which is the one that generates the chemical signal that affects muscle growth.

    The molecule will be more likely to open if it is under more force, or when kept under the same force for longer. Both conditions will increase the number of activated signaling molecules. These molecules then induce the synthesis of more messenger RNA, leading to production of new muscle proteins, and the cross-section of the muscle cell increases.

    This realization led to the current work, started by Ibata, himself a keen athlete. “I was excited to gain a better understanding of both the why and how of muscle growth,” he said. “So much time and resources could be saved in avoiding low-productivity exercise regimens, and maximizing athletes’ potential with regular higher value sessions, given a specific volume that the athlete is capable of achieving.”

    Terentjev and Ibata set out to constrict a mathematical model that could give quantitative predictions on muscle growth. They started with a simple model that kept track of titin molecules opening under force and starting the signaling cascade. They used microscopy data to determine the force-dependent probability that a titin kinase unit would open or close under force and activate a signaling molecule.

    They then made the model more complex by including additional information, such as metabolic energy exchange, as well as repetition length and recovery. The model was validated using past long-term studies on muscle hypertrophy.

    “Our model offers a physiological basis for the idea that muscle growth mainly occurs at 70% of the maximum load, which is the idea behind resistance training,” said Terentjev. “Below that, the opening rate of titin kinase drops precipitously and precludes mechanosensitive signaling from taking place. Above that, rapid exhaustion prevents a good outcome, which our model has quantitatively predicted.”

    “One of the challenges in preparing elite athletes is the common requirement for maximizing adaptations while balancing associated trade-offs like energy costs,” said Fionn MacPartlin, Senior Strength & Conditioning Coach at the English Institute of Sport. “This work gives us more insight into the potential mechanisms of how muscles sense and respond to load, which can help us more specifically design interventions to meet these goals.”

    The model also addresses the problem of muscle atrophy, which occurs during long periods of bed rest or for astronauts in microgravity, showing both how long can a muscle afford to remain inactive before starting to deteriorate, and what the optimal recovery regimen could be.

    Eventually, the researchers hope to produce a user-friendly software-based application that could give individualized exercise regimens for specific goals. The researchers also hope to improve their model by extending their analysis with detailed data for both men and women, as many exercise studies are heavily biased towards male athletes.


    Body builders aren’t necessarily the strongest athletes


    More information:
    Neil Ibata et al, Why exercise builds muscles: titin mechanosensing controls skeletal muscle growth under load, Biophysical Journal (2021). DOI: 10.1016/j.bpj.2021.07.023

    Provided by
    University of Cambridge


    Citation:
    Mathematical model predicts best way to build muscle (2021, August 23)
    retrieved 19 September 2021
    from https://phys.org/news/2021-08-mathematical-muscle.html

    This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
    part may be reproduced without the written permission. The content is provided for information purposes only.

  • Mathematical model predicts best way to build muscle — ScienceDaily
    Mathematic

    Mathematical model predicts best way to build muscle — ScienceDaily

    Researchers have developed a mathematical model that can predict the optimum exercise regime for building muscle.

    The researchers, from the University of Cambridge, used methods of theoretical biophysics to construct the model, which can tell how much a specific amount of exertion will cause a muscle to grow and how long it will take. The model could form the basis of a software product, where users could optimise their exercise regimes by entering a few details of their individual physiology.

    The model is based on earlier work by the same team, which found that a component of muscle called titin is responsible for generating the chemical signals which affect muscle growth.

    The results, reported in the Biophysical Journal, suggest that there is an optimal weight at which to do resistance training for each person and each muscle growth target. Muscles can only be near their maximal load for a very short time, and it is the load integrated over time which activates the cell signalling pathway that leads to synthesis of new muscle proteins. But below a certain value, the load is insufficient to cause much signalling, and exercise time would have to increase exponentially to compensate. The value of this critical load is likely to depend on the particular physiology of the individual.

    We all know that exercise builds muscle. Or do we? “Surprisingly, not very much is known about why or how exercise builds muscles: there’s a lot of anecdotal knowledge and acquired wisdom, but very little in the way of hard or proven data,” said Professor Eugene Terentjev from Cambridge’s Cavendish Laboratory, one of the paper’s authors.

    When exercising, the higher the load, the more repetitions or the greater the frequency, then the greater the increase in muscle size. However, even when looking at the whole muscle, why or how much this happens isn’t known. The answers to both questions get even trickier as the focus goes down to a single muscle or its individual fibres.

    Muscles are made up of individual filaments, which are only 2 micrometres long and less than a micrometre across, smaller than the size of the muscle cell. “Because of this, part of the explanation for muscle growth must be at the molecular scale,” said co-author Neil Ibata. “The interactions between the main structural molecules in muscle were only pieced together around 50 years ago. How the smaller, accessory proteins fit into the picture is still not fully clear.”

    This is because the data is very difficult to obtain: people differ greatly in their physiology and behaviour, making it almost impossible to conduct a controlled experiment on muscle size changes in a real person. “You can extract muscle cells and look at those individually, but that then ignores other problems like oxygen and glucose levels during exercise,” said Terentjev. “It’s very hard to look at it all together.”

    Terentjev and his colleagues started looking at the mechanisms of mechanosensing — the ability of cells to sense mechanical cues in their environment — several years ago. The research was noticed by the English Institute of Sport, who were interested in whether it might relate to their observations in muscle rehabilitation. Together, they found that muscle hyper/atrophy was directly linked to the Cambridge work.

    In 2018, the Cambridge researchers started a project on how the proteins in muscle filaments change under force. They found that main muscle constituents, actin and myosin, lack binding sites for signalling molecules, so it had to be the third-most abundant muscle component — titin — that was responsible for signalling the changes in applied force.

    Whenever part of a molecule is under tension for a sufficiently long time, it toggles into a different state, exposing a previously hidden region. If this region can then bind to a small molecule involved in cell signalling, it activates that molecule, generating a chemical signal chain. Titin is a giant protein, a large part of which is extended when a muscle is stretched, but a small part of the molecule is also under tension during muscle contraction. This part of titin contains the so-called titin kinase domain, which is the one that generates the chemical signal that affects muscle growth.

    The molecule will be more likely to open if it is under more force, or when kept under the same force for longer. Both conditions will increase the number of activated signalling molecules. These molecules then induce the synthesis of more messenger RNA, leading to production of new muscle proteins, and the cross-section of the muscle cell increases.

    This realisation led to the current work, started by Ibata, himself a keen athlete. “I was excited to gain a better understanding of both the why and how of muscle growth,” he said. “So much time and resources could be saved in avoiding low-productivity exercise regimes, and maximising athletes’ potential with regular higher value sessions, given a specific volume that the athlete is capable of achieving.”

    Terentjev and Ibata set out to constrict a mathematical model that could give quantitative predictions on muscle growth. They started with a simple model that kept track of titin molecules opening under force and starting the signalling cascade. They used microscopy data to determine the force-dependent probability that a titin kinase unit would open or close under force and activate a signalling molecule.

    They then made the model more complex by including additional information, such as metabolic energy exchange, as well as repetition length and recovery. The model was validated using past long-term studies on muscle hypertrophy.

    “Our model offers a physiological basis for the idea that muscle growth mainly occurs at 70% of the maximum load, which is the idea behind resistance training,” said Terentjev. “Below that, the opening rate of titin kinase drops precipitously and precludes mechanosensitive signalling from taking place. Above that, rapid exhaustion prevents a good outcome, which our model has quantitatively predicted.”

    “One of the challenges in preparing elite athletes is the common requirement for maximising adaptations while balancing associated trade-offs like energy costs,” said Fionn MacPartlin, Senior Strength & Conditioning Coach at the English Institute of Sport. “This work gives us more insight into the potential mechanisms of how muscles sense and respond to load, which can help us more specifically design interventions to meet these goals.”

    The model also addresses the problem of muscle atrophy, which occurs during long periods of bed rest or for astronauts in microgravity, showing both how long can a muscle afford to remain inactive before starting to deteriorate, and what the optimal recovery regime could be.

    Eventually, the researchers hope to produce a user-friendly software-based application that could give individualised exercise regimes for specific goals. The researchers also hope to improve their model by extending their analysis with detailed data for both men and women, as many exercise studies are heavily biased towards male athletes.

  • Governor Hochul Announces  Million REDI Regional Dredging Initiative Continues to Build Resiliency in Communities Along Lake Ontario
    STEAM Initiative

    Governor Hochul Announces $15 Million REDI Regional Dredging Initiative Continues to Build Resiliency in Communities Along Lake Ontario

    Governor Kathy Hochul announced today dredging is underway at Oak Orchard Harbor, a navigation channel in Orleans County, used by boaters to access Lake Ontario. The accumulation of silt, sand, and other debris can cause areas like Oak Orchard Harbor to become obstructed overtime. The dredging project will remove built-up sediment from the bottom of the waterway to allow for continued safe passage of watercraft to support the tourism economy and preserve wildlife in the region. Dredging of the navigation channel is part of a $15 million Regional Dredging Initiative through the State’s Resiliency and Economic Development Initiative.

    “Communities along Lake Ontario have been forced to grapple with the impacts of extreme weather and flooding for the past several years and New York is doing everything within its power to bolster the shoreline and ensure we do not see a repeat of 2019,” Governor Hochul said. “By undertaking these types of dredging and resiliency efforts, we are not only keeping people safe and easing the minds of lakefront homeowners, but also protecting the wildlife in the coastal habitats and helping boost tourism by creating safe recreational access for boaters.”

    The Oak Orchard Harbor project will remove approximately 8,400 cubic yards of sediment using mechanical dredging. Mechanical dredging uses heavy equipment, such as an excavator, to dig out the bed of the body of water and then remove the excess built up sediment. The dredging fleet for the Oak Orchard project includes a barge, excavator and two dump scows, as well one tugboat and one work boat to support the overall operation. Removed sediment will be placed in a designated nearshore area to the east of the harbor.

    Office of General Services Commissioner RoAnn Destito said, “With Governor Hochul’ s continued strong support and leadership, we at OGS are moving full steam ahead with the significant work that is getting accomplished under the REDI Regional Dredging Initiative. Working together with State, federal, local, and private sector partners, our efforts are benefitting recreational boaters, supporting local economies, and improving the habitats of wildlife along the great Lake Ontario and St. Lawrence River.”

    New York State Department of Environmental Conservation Commissioner and REDI Co-Chair Basil Seggos said, “The start of dredging work in Oak Orchard Harbor today marks a critical milestone in New York State’s sustained investments and infrastructure improvements in Orleans County that are strengthening protections along Lake Ontario and St. Lawrence River shoreline communities and helping New York communities rebuild stronger, smarter, and more resilient. Governor Hochul’s REDI team of experts continue to advance dredging projects that enhance harbor navigation throughout the region.”  

    State Parks Commissioner Erik Kulleseid said, “These dredging projects will be a great navigational benefit to the regional boating community, which is a vital part of the Lake Ontario and St. Lawrence River tourism and recreational economy. One of these projects this season allowed for the reopening of the boat launch at Golden Hill State Park in Niagara County, which had been closed due to sediment accumulation. These investments will result in benefits that will continue for years to come.”

    Governor Hochul also announced that there are two additional dredging projects underway in Wayne County. The Pultneyville Harbor project will remove approximately 4,000 cubic yards of sediment from the federal navigation channel using mechanical dredging. The dredging fleet includes a barge, an excavator on the barge, two dump scows and a tugboat. The sediment will be placed within a federal open lake placement area two miles north east of Sodus Bay. The Bear Creek Harbor project will remove approximately 600 cubic yards of sediment from the waterway. Dredging at this location will be undertaken in tandem with and using the same equipment as the PultneyvilleHarbor site. Sediment dredged from the harbor will be placed in a defined area of the lake to the east of the harbor. 

    Senator Robert Ortt said, “I applaud New York State and the Lake Ontario REDI Commission for identifying and proactively addressing the issue of harbor dredging in the towns and ports along Lake Ontario’s southern shore. For many of these towns, their ports are the reason the town is able to survive from a tourism and economic perspective, and the ability to access these ports is vital to their existence.” 

    Senator Pamela Helming said, “New York State has made critical investments to strengthen the local infrastructure that is essential to the economic stability and growth of our shoreline communities. These projects represent an important partnership between our counties and towns, the state, and the REDI Commission. I thank everyone involved for their continued hard work and commitment.” 

    Assemblyman Steve Hawley said, “The Oak Orchard Harbor REDI dredging project getting underway is great news for the residents of Carlton and the Lake Ontario community in general. It will assure that the harbor will continue to allow vessels to pass safely through it, and keep our regional economy growing.”

    Orleans County Legislature Chairman Lynn Johnson said, “As we look for ways to support and promote recreational activities along the shorelines of Lake Ontario, the dredging of Oak Orchard Harbor is vital to providing access to the over 400 boat slips and 6 launch lanes within the harbor.  This project undertaken by the Lake Ontario Resiliency and Economic Development Initiative demonstrates the commitment by the Governor to maintaining access to the navigable waterways that contribute to the success of the local fishing, boating and tourism activities within the Town of Carlton and Orleans County.”

    Town of Ontario Supervisor Frank Robusto said, “The REDI Program continues to assist municipalities along the Lake Ontario Shoreline in preparedness for future flooding events. The dredging at Bear Creek will ensure that the harbor remains open and safe for both visitors and those who call the town of Ontario home. We are thankful for the continued partnership with the State.”

    To date, the State has completed nine REDI dredging projects, and removed approximately 41,750 cubic yards of sediment, to provide recreational boaters with safe access to Lake Ontario and the St. Lawrence River. The completed dredging projects include Port Bay, Blind Sodus Bay and East Bay in Wayne County, Sandy Pond Inlet and Salmon River/Port Ontario in Oswego County, Irondequoit Bay and Braddock Bay in Monroe County, Little Sodus Bay in Cayuga County, and Golden Hill State Park in Niagara County.

    Through Phase I and II, the dredging initiative is tackling the necessary dredging of up to 20 harbor navigation channels. Upon completion of the project, over 100,000 cubic yards of sediment is anticipated to be dredged. 

    Future regional dredging initiative sites include:

    • Niagara County: Olcott Harbor
    • Orleans County: Johnson Creek
    • Monroe County: Sandy Creek, Long Pond Outlet
    • Jefferson County: Clayton French Creek Marina, Henderson “The Cut”
    • St. Lawrence County: Ogdensburg “City Front Channel,” Morristown Navigation Channel

    During Phase III, the State will provide counties with the information they need to update, expand, and implement an existing Regional Dredging Management Plan to keep the channels operational over time.

    In response to the extended pattern of flooding along the shores of Lake Ontario and the St. Lawrence River, REDI was created to increase the resilience of shoreline communities and bolster economic development in the region. Five REDI Regional Planning Committees, comprised of representatives from eight counties, Niagara and Orleans, Monroe, Wayne, Cayuga and Oswego, and Jefferson and St. Lawrence, were established to identify local priorities, at-risk infrastructure and other assets, and public safety concerns. 

    The REDI Commission allocated $20 million for homeowner assistance, $30 million to improve the resiliency of businesses, and $15 million toward a regional dredging effort that will benefit each of the eight counties in the REDI regions. The remaining $235 million has been allocated towards local and regional projects that advance and exemplify the REDI mission.

    For additional information on the REDI Regional Dredging Plan, project profiles and REDI news, click here.

  • UTSA hires leader to build bilingual education partnership with San Antonio ISD | UTSA Today | UTSA
    Bilingual Education

    UTSA hires leader to build bilingual education partnership with San Antonio ISD | UTSA Today | UTSA

    UTSA’s Mission

    The University of Texas at San Antonio is dedicated to the advancement of knowledge through research and discovery, teaching and learning, community engagement and public service. As an institution of access and excellence, UTSA embraces multicultural traditions and serves as a center for intellectual and creative resources as well as a catalyst for socioeconomic development and the commercialization of intellectual property – for Texas, the nation and the world.

    UTSA’s Vision

    To be a premier public research university, providing access to educational excellence and preparing citizen leaders for the global environment.

    UTSA’s Core Values

    We encourage an environment of dialogue and discovery, where integrity, excellence, inclusiveness, respect, collaboration and innovation are fostered.

    UTSA’S Destinations

    UTSA is a proud Hispanic Serving Institution (HSI) as designated by the U.S. Department of Education.

    Our Commitment to Inclusivity

    The University of Texas at San Antonio, a Hispanic Serving Institution situated in a global city that has been a crossroads of peoples and cultures for centuries, values diversity and inclusion in all aspects of university life. As an institution expressly founded to advance the education of Mexican Americans and other underserved communities, our university is committed to ending generations of discrimination and inequity. UTSA, a premier public research university, fosters academic excellence through a community of dialogue, discovery and innovation that embraces the uniqueness of each voice.