Member Info for gjbrandon

@munchbox54 large scale projects can take years to come to fruition. In the case of the Gibraltar project with MWG, there are third-parties between the contribution of Modern Water and the Government of Gibraltar. Not being party to those deliberations, we have to assume that they have stalled and as such it would be unlikley in the current COVID19 locked-down world to suggest that it would move forward any time soon. Our focus is on maintaining hte rapidly expanding monitoring division that has completely changed its business model, based on the new direction and COVID19

Worth a read, just to get to grips wiht what has been done with parnerships and what has moved from development to full commercial scale in such a short time https://www.proactiveinvestors.co.uk/companies/news/220700/integumen-partnerships-fire-up-early-to-assist-amid-coronavirus-pandemic-220700.html

Considering that Integumen has been on AIM since 2017, there is an obvious flaw in their trading platform

It is not a 7 way split.

EcowaterOS is a group of complementary companies that provide an end to end solution for very large projects. Each party is aware of the expertise ad can tap into that expertise and experience when dealing with a large project. Then as a project moves from design, build, commission and post-monitoring each party deals with the ecowaterOS leader of the project as a sub-contractor.

To show you there is way more than Integumen's RNS today, check out the interview today with our brilliant
Labskin 's Alex (Operations) and David (R&D Manager) https://www.news-medical.net/news/20200506/Human-to-Labskin-Skin-Models-for-Dermatology-Research.aspx

@PitseaAbe. Actually COVID-19 is the disease, SARS-CoV-2 is the virus. Bacteria can live in many environments, where as a virus needs a host to survive.

In an explanation I gave earlier this morning you see that the requirement is to capture the virus as the first step using a binding agent. For your information I repeat the steps here.

The system works in the following sequence:
Every living microorganism/pathogen (target) has a specific frequency signal

The objective is to capture the target using a known binder (indicator microorganism)

Once the target is captured we use physics (dielectrophoresis) to alter the polarity of the target and binder and move onto the Lab-On-A-Chip (which we have described in December 2018 RNS)

Using high-frequency we move the target to the point where we can get a Raman Spectrum (digital) signal.

This captured digital image is unique to the target/binder and is transmitted back to the Rinocloud AI server and compared against a dataset of exactly the same sampled target and binding unit. (similar exercise to what is done in a finger-print search)

The AI server has already used ML to remove additional signals of other frequencies from adjacent targets, as the digital value of the target and binder frequency is known. Therefore after running through the dataset, if the target signal matches items in the dataset, an alert is triggered.

Hope that helps to explain how to identify a virus in real-time

The AI real-time alert system about 4 to 5 seconds to compare digital signals with what is in the AI dataset on the Rinocloud servers. This is what has been achieved with many pathogens, such as e.coli, nitrates, phosphates, malaria, mastitis and bear in mind we have been working on this since 2016.

The system works in the following sequence:
Every living microorganism/pathogen (target) has a specific frequency signal
The objective is to capture the target using a known binder (indicator microorganism)
Once the target is captured we use physics (dielectrophoresis) to alter the polarity of the target and binder onto the Lab-On-A-Chip (which we have described in December 2018 RNS)
Using high-frequency we move the target to the point where we can get a Raman Spectrum (digital) signal.
This digital image is unique to the target and is transmitted back to the Rinocloud AI server and compared against a dataset of exactly the same sampled target and binding unit. (similar exercise to what is done in a finger-print search)
The AI server knows to remove the additional signals of other frequencies as the value of the target and binder frequency is known. Therefore after running through the dataset if the target signal matches items in the dataset, an alert is triggered.

So instead of taking a sample back to the laboratory, running a PCR test that could take from 24 to 72 hours to complete, it is done via 2g/3g/4g cellular transmission and takes the length of time to run a dataset comparison of up to 10,000 samples, which is just a few seconds for a real-time alert system.

The time it takes to compare digital signals with what is in the AI dataset on the Rinocloud servers is usually about 4 to 5 seconds. This is what we have achieved in other pathogens, such as e.coli, nitrates, phosphates, malaria, mastitis and bear in mind we have been working on this since 2016.

The system works in this sequence:
Every living microorganism/pathogen (target) has a specific frequency signal
The objective is to capture the target using a known binder (indicator microorganism)
Once the target is captured we use physics (dielectrophoresis) to alter the polarity of the target and binder onto the Lab-On-A-Chip (which we have described in December 2018 RNS)
Using high-frequency we move the target to the point where we can get a Raman Spectrum (digital) signal.
This digital image is unique to the target and is transmitted back to the Rinocloud AI server and compared against a dataset of exactly the same sampled target and binding unit. (similar exercise to what is done in a finger-print search)
The AI server knows to remove the additional signals of other frequencies as the value of the target and binder frequency is known. Therefore after running through the dataset if the target signal matches items in the dataset, an alert is triggered.

So instead of taking a sample back to the laboratory, running a PCR test that could take from 24 to 72 hours to complete, it is done via 2g/3g/4g cellular transmission and takes the length of time to run a dataset comparison of up to 10,000 samples, which is just a few seconds for a real-time alert system.

The news of the US CDC, BBC news and UAE articles items relating to governments realising the importance of SARS-CoV-2 or any future pandemic infections presented in wastewater to be identified quickly being critical to enable action to prevent the spread of infectious diseases within an enlarged community was purely coincidental to the RNS this morning.

However, the combination of Integumen's already AI-based real-time virtual indicator microorganism identification system (already fully developed for e.coli, nitrates, phosphates, malaria and mastitis) retrofitted into Modern Water's installed base of Microtox water contamination detection units around the world is why the project is so important in this public health crisis.

One great piece of AI technology installed in new and retrofitted into existing global network of Microtox installations to provide that early warning system.

I have seen comments that I am placing a lot of emphasis on MWG and not enough on Integumen. Well, considering that the core of Modern Water's reagent production is now fully operational in York and the core of Integumen's AI real-time alert system for wastewater transforms the Modern Water existing distribution channel of Microtox units around the world will become very apparent in this and future public health crisis.

The news of the US CDC, BBC news and UAE articles items relating to governments realising the importance of SARS-CoV-2 or any future pandemic infections presented in wastewater to be identified quickly being critical to enable action to prevent the spread of infectious diseases within an enlarged community was purely coincidental to the RNS this morning.

However, the combination of Integumen's already AI-based real-time virtual indicator microorganism identification system (already fully developed for e.coli, nitrates, phosphates, malaria and mastitis) retrofitted into Modern Water's installed base of Microtox water contamination detection units around the world is why the project is so important in this public health crisis.

One great piece of technology installed in new and retrofitted into existing global network of Microtox installations to provide that early warning system. If it wasn't for the skills at Labskin, we would not be here. That laboratory facility has increased 550% in size and the team has surpassed even my best expectation since the day I took over in August 2018.

Things are coming to a head when you get most continents now deep in the poop to trace and track the infections https://www.thenational.ae/uae/health/coronavirus-uae-scientists-examine-wastewater-for-clues-on-covid-19-spread-1.1014265

Things are certainly hotting up in the UK, China, US, Europe and nowthe middle east. https://www.thenational.ae/uae/health/coronavirus-uae-scientists-examine-wastewater-for-clues-on-covid-19-spread-1.1014265

@Stuofthetoon it does not take long for the US Government to take note. This out on Friday last https://www.politico.com/news/2020/05/01/cdc-human-waste-coronavirus-222253 where they already are targeting hotspots as a long term solution in wastewater. I guess we are already in the path.

@Fast800 Rinocloud had been working on this since 2016 and in RNS of the 13 December 2019 we first introduced the Lab-on-a chip for Labskin.

We just adapted both technologies to deliver this solution. https://irpages2.equitystory.com/websites/rns_news/English/1100/news-tool---rns---eqs-group.html?article=28393685&company=Integumen&iframe=true

I pinned a thread to the top of my twitter profile with some explanation on the integration of Integumen's Laboratory on a Chip bacteria, virus and toxin (pathogen) water detection real-time system where it is to be combined with Modern Water's Microtox installed base of water detection installations around the world
https://twitter.com/gjbrandon/status/1256561761152634881?s=20

I pinned a thread to the top of my twitter profile with some explanation on the integration of Integumen's Laboratory on a Chip bacteria, virus and toxin (pathogen) water detection real-time system where it is to be combined with Modern Water's Microtox installed base of water detection installations around the world
https://twitter.com/gjbrandon/status/1256561761152634881?s=20

Glad someone noticed the Parity appointment. I am taking my fee in shares at a price that is almost 10% higher than it closed at yesterday. As you said it is all about collaboration and a solid distribution channel for Integumen to tap into while enhancing the offering of Parity to their clients.

One poster asked whether a manual system would be better than an automated system. This might help. Here is the RAWTest AI real-time. When the buoy was in the water it automatically tested roughly every 30 minutes. The system is still online, but the buoy is out of the water. http://watermon.rinodrive.com/ By combining SKIN's VIRIMID system with the MWG Microtox CTM which is already installed across the globe, and checking every 2 seconds if the water is contaminated, this virtual indicator microorganism identification AI system would only run when the water is contaminated and it would identify the contaminant and set the alert.

One poster asked whether a manual system would be better than an automated system. This might help. @Olderandwiser here is the RAWTest AI real-time. When the buoy was in the water it automatically tested roughly every 30 minutes. The system is still online, but the buoy is out of the water. http://watermon.rinodrive.com/ By combining SKIN's VIRIMID system with the MWG Microtox CTM which is already installed across the globe, and checking every 2 seconds if the water is contaminated, this virtual indicator microorganism identification AI system would only run when the water is contaminated and it would identify the contaminant and set the alert.

Glad to have you aboard Hullaballoola and appreciate your support.

Tail_end: The turnaround is a work in progress. Eliminating the debt, reducing the overhead and converting to a collaborative, cooperative and partnership model takes a few months to put in place, but as you say these are all outlined in the RNS's since the refinancing took place.