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Power Administration within the AI Period: Cisco’s Digital Transformation Benefit

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Power Administration within the AI Period: Cisco’s Digital Transformation Benefit


In a world more and more pushed by Synthetic Intelligence (AI), cloud, edge computing, and interconnected units, the demand for scalable and environment friendly digital infrastructure has by no means been larger. The tempo of adoption for generative AI has eclipsed each private computer systems and the Web – a 97.5% distinction in adoption charge over two years  (supply: The Fast Adoption of Generative AI, 2024). The impression of AI and crypto on knowledge heart power consumption is about to greater than double by 2030 in accordance with the Worldwide Power Company (supply: IEA, 2025). This fast enlargement brings a important problem – managing power intelligently to assist progress, maximize effectivity, and decrease waste.

At its core, power administration is about measuring, monitoring, and controlling power consumption to unlock price financial savings, enhance operational effectivity, and scale back environmental impression. With over 40 years of management in safe networking, Cisco is as soon as once more setting the stage for innovation—this time by reimagining power administration as a strategic enabler for the fashionable period. Cisco’s imaginative and prescient is evident: to be the market chief with unmatched visibility, embedded intelligence in {hardware} and AI-driven good insurance policies and automation.

Cisco’s Power Administration Technique

Cisco has a complete method to power administration, structured into three deliverables:

  1. Visibility & Reporting: Constructing a powerful basis with actionable knowledge
  2. Insights & Analytics: Leveraging AI to offer real-time optimization and suggestions
  3. Management & Automation: Empowering prospects to handle power consumption dynamically with out compromising efficiency or Service-Stage Agreements (SLAs)

Visibility & Reporting: Constructing a powerful basis with actionable knowledge

  • *New* Energy Measurement methodology: Whereas present requirements like ATIS TEER, ETSI EN 303 470 and others present useful pointers, Cisco is integrating over 4 many years of networking experience with these requirements to offer a extra complete and correct measurement method to assist community planning and enterprise operations.
  • 5 standardized power metrics: Cisco is enabling prospects to ascertain an power administration baseline with visibility and reporting throughout 5 standardized metrics: Power Consumption (kWh), Whole GHG Emissions (metric tonnes of CO2e), Carbon Depth (grams of CO2e per kWh), Power Combine (% from low carbon power sources) and Power Price (USD). Prospects can entry this actionable knowledge by means of Cisco platforms and construct a unified view leveraging Splunk to determine anomalies, minimize prices, and plan for a extra environment friendly digital future.  Accessible at present on Cisco Nexus Dashboard, Management Hub, SDWAN, *New* on Meraki Dashboard and Catalyst Middle.
  • * New * Up to date Product Information Sheets: Clear, constant sustainability profiles to simplify buying choices for patrons and spotlight Cisco’s deal with power optimization and sustainability by means of the product’s lifecycle.
    • Up to date Sustainability Profiles will embrace a hyperlink to info on product carbon footprint and life cycle evaluation which estimate the general environmental impression of a product the place obtainable (go to our web site to be taught extra).
    • Ecolabel certifications like ENERGY STAR ® will likely be included to assist prospects drive return on funding choices, assist compliance/ regulatory wants, LEED certification and different constructing frameworks. *New* Cisco is proud to announce that we’re first within the {industry} to have Enterprise Routers ENERGY STAR licensed within the Massive Networking Tools class (LNE). Information Middle Switches will observe and be licensed by the top of June 2025.
  • *New* ROI / Whole Price of Possession (TCO) Calculator is being prototyped for launch to Companions / Sellers to generate ROI/TCO experiences that reveal Cisco’s benefit with our ongoing investments throughout {hardware}, software program, power administration, and ecosystem options.

Insights & Analytics: Leveraging AI to offer real-time optimization and suggestions

  • Actual-time monitoring will help ship actionable insights to scale back power utilization and prices. These will embrace alerts for uncommon energy spikes, identification of underutilized (“zombie”) servers, and clever energy-saving suggestions—akin to auto-shutdown of energy provides, disabling idle small form-factor pluggable (SFP) ports, and optimizing management of Energy over Ethernet (PoE) units (lighting, shades, cameras) throughout campus networks. In knowledge facilities, suggestions lengthen to good Energy Distribution Items (PDUs), server consolidation, and maximizing use of fresh power to energy cooling programs throughout peak demand.
  • With predictive analytics, AI, and situation planning, we will empower community directors to take exact, data-driven actions tailor-made to their distinctive power wants.

Management & Automation: Empowering prospects to handle power consumption dynamically with out compromising efficiency or SLAs

  • *New* Good energy framework for clever energy administration: Cisco is pioneering efforts to carry collectively energy monitoring, power coverage and companion ecosystem interoperability to supply an extensible, scalable and easy answer for patrons. By way of this framework, there will likely be constant modes throughout Cisco units, together with out-of-the-box transport mode, efficiency mode, and low energy mode to assist automate workflows for patrons seeking to make power efficiency tradeoffs inside their networks.

The North Star: Simplified, Unified Outcomes

Cisco’s power administration technique goes past a product roadmap – it’s a dedication to drive innovation and sustainability. With enhanced energy measurement capabilities, actionable insights, and built-in controls, Cisco is pioneering the way in which for a extra sustainable and clever digital future. This imaginative and prescient empowers prospects to scale back operational and capital bills whereas serving to them obtain their enterprise targets.

“At Logicalis, we’re dedicated to empowering our prospects to guide the cost in sustainable IT transformation.  Collectively, leveraging Power Administration answer and instruments together with sustainability estimators and carbon footprint knowledge, we will now present actionable insights and instruments enabling our prospects to make knowledgeable choices that drive power effectivity, price financial savings and carbon discount. With our world experience and groundbreaking applied sciences, we’re not simply providing options; we’re igniting a motion in direction of a greener, extra sustainable future for industries worldwide.”

~ Robert Bailkoski, CEO of Logicalis

“Electrical energy Maps is the main world supplier of real-time electrical energy knowledge. Cisco affords industry-leading power administration by means of clever software program, environment friendly {hardware} and insights all through its product vary, powered by world real-time knowledge in regards to the carbon emissions of electrical energy. We’re proud to companion with Cisco to proceed pushing the boundaries for carbon conscious know-how and subsequent technology power administration.”

~ Olivier Corradi, Founder, CEO of Electrical energy Maps

“You may’t repair an issue you possibly can’t see. Establishing a reputable baseline is the inspiration to creating any progress. Cisco’s Power Administration technique empowers prospects to handle power consumption by offering visibility, insights and automation. This development continues to develop extra pressing with the AI revolution.”

~ Denise Lee, Vice President, Cisco Engineering Sustainability Workplace

Watch this video www.cisco.com/go/energymanagement, go to up to date product knowledge sheets and make contact with your gross sales consultant to be taught extra.

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Can scientists predict life longevity from a drop of blood? – NanoApps Medical – Official web site

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Can scientists predict life longevity from a drop of blood? – NanoApps Medical – Official web site


Uncover how a brand new epigenetic clock measures how briskly you might be actually ageing from only a drop of blood or saliva.

A current examine revealed within the journal Nature Getting older constructed an intrinsic capability (IC) clock to foretell all-cause mortality primarily based on various factors.

What’s intrinsic capability?

In 2015, the World Well being Group (WHO) launched intrinsic capability (IC), a vital element of wholesome ageing. WHO outlined IC as “the sum of all of the bodily and psychological capacities that a person can draw on at any level of their life.”

IC promotes wholesome ageing by shifting the standard focus of treating acute ailments to assessing and preserving a person’s purposeful capacity. It’s important to notice that IC varies amongst people, usually peaking in early childhood and regularly reducing after midlife. Nevertheless, IC might be improved at any age by altering way of life.

The Worldwide Classification of Illnesses, eleventh Revision, has just lately standardized the scientific use of IC as a purposeful ageing metric. Thus far, a number of research have developed IC scores, the place a low IC rating is related to larger comorbidity, difficulties in each day actions, frailty, and elevated falls. These research have additionally established a hyperlink between IC and health-related elements.

Though IC can effectively measure purposeful capacity, the present protocol for quantitative measure is very advanced and requires refined gear and skilled personnel. As well as, the exact molecular and mobile mechanisms related to the age-related decline in IC is unclear.

Concerning the examine

The present examine aimed to assemble a brand new epigenetic predictor of IC (IC clock) utilizing knowledge from the INSPIRE Translational (INSPIRE-T) cohort. This cohort is an ongoing 10-year follow-up examine that evaluates IC modifications and biomarkers of ageing and age-related ailments. Its contributors are aged between 20 and 102 with diversified ranges of purposeful capability.

DNA methylation (DNAm) profiling was carried out on greater than 1000 contributors within the INSPIRE-T cohort. DNAm beta values and IC scores have been used to construct a predictive mannequin for IC, utilizing elastic internet regression and tenfold cross-validation.

The IC clock was utilized to the Framingham Coronary heart Examine (FHS) to uncover how DNAm IC was related to mortality, scientific markers of well being, and way of life.

Transcriptomics knowledge and modifications in cell composition have been thought-about to evaluate the molecular and mobile mechanisms of IC.

Examine findings

Scientific evaluation instruments have been used to develop IC scores (starting from 0 to 1) representing an age-related decline in several domains, akin to sensory, cognition, psychological, locomotion, and vitality. An IC rating of 1 indicated the most effective well being final result, whereas a zero rating indicated the worst final result.

All studied IC domains have been discovered to be negatively correlated with age. The present examine revealed that males had larger IC scores within the psychological and vitality domains, whereas females had larger scores within the sensory area. No variations have been noticed between the sexes within the cognition and locomotion domains.

A steady two-phase mannequin regression evaluation confirmed that feminine contributors bear an earlier sensory decline, whereas male contributors expertise earlier cognitive decline. This discovering implies that ladies preserve cognitive capabilities like pondering, remembering, and reasoning longer than males.

The general IC rating indicated a sturdy constructive correlation with every area, in comparison with the correlations between domains, highlighting the integrative nature of the IC rating. The very best and lowest inter-domain correlations have been discovered within the sensory and psychological domains, respectively.

The mannequin that ranked greatest throughout all studied metrics, i.e., highest correlation, lowest error, and fewer cytosine-phosphate-guanine (CpG) websites, exhibited a correlation of 0.61 between IC and predicted values primarily based on DNAm. Though a robust correlation was noticed primarily based on age, CpGs with the very best coefficients exhibited practically zero correlation with chronological age.

The newly constructed IC clock was in contrast with first- and second-generation epigenetic clocks. A adverse correlation between DNAm IC and the epigenetic clocks was noticed, with PhenoAge revealing the strongest correlation, adopted by the Hannum clock. The present examine indicated that DNAm IC could possibly be calculated from saliva and blood samples.

The present examine additionally recognized the expression of 578 genes (e.g., MCOLN2 and CD28 genes) as considerably related to DNAm IC alterations. CpGs within the IC clock indicated a correlation of 0.21 with the expression of no less than one related significantly gene. This statement confirmed the sturdy connection between the IC clock and the recognized gene expression signature of DNAm IC.

Gene Ontology (GO) enrichment evaluation was carried out to find out the organic processes related to the gene expression signature of DNAm IC. IC expression signature was strongly enriched in genes concerned in mobile senescence and continual irritation. IC clock detected numerous points of immunosenescence within the blood linked with purposeful immune ageing modifications.

The present examine noticed that genomic instability, mitochondrial dysfunction, and lack of proteostasis have been linked to the perform of particular IC domains. Greater vitality scores have been related to mitochondrial electron transport genes. Compared, larger psychological scores have been associated to DNA injury response pathways and better sensory scores with proteostasis and immune response pathways.

Mortality knowledge from the 1,680 people within the FHS was used to find out whether or not DNAm IC was related to an elevated mortality danger from all causes or age-related circumstances. DNAm IC was discovered to be extra strongly related to all-cause mortality dangers. This examine estimated that people with excessive DNAm IC would dwell, on common, 5.5 years longer than these with low DNAm IC.

Notably, this examine indicated that consuming fish wealthy in long-chain omega-3 fatty acids and adhering to the beneficial sugar ranges might promote IC upkeep. Though a variety of dietary elements have been examined, solely fish-derived omega-3s and adherence to sugar tips remained important after adjusting for a number of checks.

The researchers additionally word that IC declines quickly in very previous age. Attributable to restricted knowledge on this age group, their predictive mannequin shouldn’t be as robust for people with extraordinarily low IC scores.

As well as, while the IC clock is strongly related to mortality and well being outcomes, the examine can’t set up that bettering DNAm IC will essentially trigger higher well being outcomes or longer life.

Conclusions

The present examine established a organic clock for age-related decline in IC primarily based on a number of scientific, purposeful, immune, and inflammatory elements and way of life selections.

This IC clock might be estimated from blood and saliva and outperforms established epigenetic clocks in predicting mortality danger.  Nevertheless, additional analysis is required to make clear causal relationships and to validate the IC clock in additional various populations and amongst these with very low purposeful capability.

An individual’s IC might be exploited to information ageing interventions, although these outcomes ought to be interpreted contemplating the examine’s limitations and the necessity for additional validation.

Ending the nice community despair

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Ending the nice community despair



This brings us to AI. In each these enterprise examples, we see the idea of a brand new expertise mannequin deploying from a seedling-like begin in a single location after which increasing outward and, on the identical time, increasing to different associated areas of enterprise operation. By way of this double-build-out, to be efficient, the businesses need to maintain the tempo of operations in every facility, which implies that successfully, 5G is creating a giant, single, facility, each bit of which has to synchronize with the opposite. To make that occur, guess what’s used? AI.

Enterprises are constructing nice AI functions, simply not the kind we normally hear about. AI isn’t some Yoda-like genius sitting on the shoulder of each employee in a profitable deployment, it’s part of a enterprise utility workflow, a software program part. For each a type of Yoda-like AI functions that make a minimal ten % ROI, enterprises have discovered virtually 5 workflow deployments that may double that, making this form of AI the one form that makes aggressive enterprise instances. Yoda works via the employee; the optimum AI isn’t restricted by human actions. It does contained issues, complicated issues, in a short time. That’s why it’s a vital piece of each these enterprise examples I’ve talked about.

Take into consideration a provide chain like these old style bucket brigades, each step relying on being synchronized with those earlier than and after. Then take into consideration how arduous it will be if you happen to have been transferring issues of various sizes, requiring totally different holds, instruments, even gloves. To make that work effectively, you’d have to have the ability to anticipate what was wanted on the finish of the road and warn everybody upstream to begin prepping in time for the shift, proper? That’s the place AI is available in. If a plant goes to shift between merchandise at a given time, AI can time the shift within the components provide upstream alongside all of the paths impacted, and the supply processes downstream as nicely. With a lift from AI, not solely can all these ancillary manufacturing, transport, and warehousing steps be coordinated, but in addition components and supplies gross sales orders will be timed and product availability up to date for gross sales.

Two examples don’t make a development, however they might mark a begin. Right here we have now examples of actually exploiting three applied sciences which might be popularly, and precisely, seen as over-hyped. Why then the adverse characterization of those three? The reply is that, taken individually, they are over-hyped. There are not any single-technology-low-apple targets left on the market to intention at. All the things is sort of a multiple-bank-off-this-ball-onto-that form of pool shot. We are able to’t handle the following step in computing or networking and not using a symbiosis of key expertise advances. We now have the advances, however not the symbiosis.

Besides right here, in these examples. Why? As a result of they’re regionally initiated, they begin small, they comprise funding and threat. And, in fact, as a result of they’ll broaden to fill the required enterprise area as they show out, with out dangerous expertise shifts. That’s why personal 5G could be an important expertise for enterprise innovation of our age. Not as a result of it’s personal, however as a result of it’s 5G, the stuff constructing cell infrastructure worldwide. Personal 5G is 5G in a sandbox, a spot to play with utility approaches that may grow to be a complete panorama when it’s prepared.

What’s totally different concerning the NB.1.8.1 Covid variant? – NanoApps Medical – Official web site

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What’s totally different concerning the NB.1.8.1 Covid variant? – NanoApps Medical – Official web site


For many people, Covid-19 appears like a chapter we’ve closed – together with the times of PCR checks, masks mandates and every day case updates. However whereas life could really feel again to regular, the virus hasn’t fully vanished. In truth, new variants proceed to quietly flow into.

One of the newest to seem on the radar is NB.1.8.1 – a reputation that you might have seen pop up in headlines and on social media feeds this week.

AI is presently in its teenage years, battling raging hormones

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AI is presently in its teenage years, battling raging hormones


Ever since ChatGPT launched in 2022, builders have been bombarded with numerous weblog posts, information articles, podcast episodes, and YouTube movies about how highly effective AI is and the way it has the potential to do the work of builders.

Anthropic’s CEO and co-founder Dario Amodei made headlines just a few months again when he claimed that “I feel we shall be there in three to 6 months, the place AI is writing 90% of the code. After which, in 12 months, we could also be in a world the place AI is writing primarily the entire code.” 

It’s been 3-6 months since that assertion, and it will be arduous to say that AI is now writing 90% of code. It’s not simply Anthropic; leaders at different AI firms have made related claims, and whereas there could also be a day sooner or later the place these claims come true, we’re not anyplace close to that presently.

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In MCP period API discoverability is now extra essential than ever
Postman introduces Agent Mode to combine the ability of AI brokers into Postman’s core capabilities

Srini Iragavarapu, director of generative AI functions and developer experiences at AWS, advised SD Occasions at POST/CON that AI is kind of in a messy center proper now, evaluating it to the teenage expertise. 

“There’s a hormone rage that’s occurring. There’s lots of potential. There may be a lot vitality, however you don’t have any clue the place to channel it, and also you’re attempting to determine it out,” he mentioned. He defined that he doesn’t have a youngster but (his son is 9), however he has nieces and nephews and he sees this enjoying out. He is aware of these children are going to exit into the world and remedy actual issues someday, however proper now they’re battling teenage hormones, they usually have lots of vitality and emotions however no thought of the place or the best way to channel it. 

He believes we’re in these messy teenage years proper now with AI. Enterprises know there’s a lot to be gained from AI, however the query is how will we get there? 

Iragavarapu was a part of a panel dialogue at POST/CON speaking about this “messy center” period of AI, together with Rangaprabhu Parthasarathy, director of product for generative AI at Meta, and Sambhav Jain, agent product supervisor at Decagon, an organization that creates AI brokers for customer support. 

“After I take into consideration the messy center, I take into consideration the area between the highly effective functionality of the fashions and their actual utility and the true impression they will have on clients,” mentioned Jain. “You need to commerce off between velocity, security, the aptitude of the mannequin, and the impression it’s going to have with clients.”

AI adoption hole correlates to firm sort

Parthasarathy mentioned that digital native firms have engaged with AI fairly rapidly as a result of they’ve the infrastructure wanted to adapt to the expertise. Extra conventional enterprises, nevertheless, are taking longer to determine the place AI can add worth. 

He likened the present state of issues to the early days of cloud. It took years for companies to grasp the best way to leverage the cloud, the place compute is available in, the place storage is available in, however as soon as they figured all that out, they noticed super achieve. 

“I feel that is the age we’re in in the present day, the place digital natives have fast turnaround, quick impression, and barely bigger, extra established companies are nonetheless within the experiment plus plus part, the place they’ve gotten previous experimentation, however they’re nonetheless in a spot the place they’re not able to deploy very massive AI programs within the enterprise,” he mentioned. 

Avoiding AI experimentation will result in remorse

Parthasarathy identified the truth that everybody has some kind of AI on their telephone — one thing that didn’t exist two years in the past. 

How a lot an organization ought to make investments into this experimentation will depend on their particular use case, however everybody needs to be actively experimenting in a roundabout way, he believes.

For instance, though Parthasarathy is a product supervisor who hasn’t written code in over a decade, he mentioned he’s vibe coding mainly each weekend on some challenge. 

“It simply appears like a second in time that we’re gonna look again and say ‘I used to be there’ or ‘I missed it.’ You positively need to be the ‘I used to be there’ particular person,” he mentioned.

MCP remains to be a child

If you happen to haven’t heard about Anthropic’s Mannequin Context Protocol (MCP), you’re not alone. Whereas the folks which can be partaking with MCP are all in on it, they nonetheless characterize a small minority of builders as a complete.

Sterling Chin, senior developer advocate at Postman, advised SD Occasions that he was speaking at a convention in London in entrance of round 200 builders, and requested the viewers to boost their fingers in the event that they’d heard of MCP. Below 50 raised their fingers. To these folks, he requested what number of have really constructed an MCP server and solely about six or seven folks raised their fingers. 

“I actually assume these of us who’re working in it and constructing with it are in a bubble inside a bubble,” he mentioned. 

He believes that MCP remains to be in its infancy. “It looks as if we’re transferring so quick on it, and in case you’re in Silicon Valley, in case you’re in San Francisco, it’s all everybody’s speaking about … In an enterprise setting, nobody’s adopting it.”

Anthropic solely launched MCP final November — simply seven months in the past. As such, there are nonetheless issues that must be found out with the specification and it’s nonetheless frequently evolving.  

It received’t all the time be this manner, nevertheless. Chin did emphasize that he predicts adoption to develop within the enterprise. One of many huge explanation why bigger companies are hesitant to undertake AI is that they don’t need their proprietary data going out to an AI firm like OpenAI or Google. 

“The second the enterprises understand that not solely can they put the LLM on prem, however now they will join all of their inside providers to an MCP server, I feel we’re gonna see a quicker adoption of MCP within the enterprise,” mentioned Chin. 

Rodric Rabbah, head of product at Postman, mentioned that on the firm, they’ve been monitoring MCP because it got here out. “Typically you see one thing and it’s like “oh my God, every part is modified due to it,” he mentioned.

He additionally admitted that there’s this echo chamber that Postman and lots of different persons are in with regards to MCP. “If you happen to peek outdoors that echo chamber, folks don’t even know what that is but,” he mentioned. “It’s very thrilling for us due to the transformational energy this has. Essentially what it’s doing is join your API to your AI, and that’s why Postman actually jumped on it.”

He mentioned that it actually unlocks lots of energy for AI as a result of it not solely means that you can work together with an API, but additionally compose a number of APIs collectively into a brand new software.

“When you begin doing it, it’s like what number of extra APIs can I feed into this? What different issues can I do?”

Vibe coding is one other iteration of the try and carry coding to non-developers

Simply because the low-code/no-code motion tried to carry the ability of software program improvement to non-developers, AI has the potential to do the identical. 

Rabbah is head of product for Postman Flows, which is actually a visible interface for constructing workflows, integrations, and automations from APIs. He mentioned it opens up entry to individuals who aren’t builders, however who’re consultants in their very own area, to precise a selected workflow or automation.

“We’re seeing more and more on this planet of vibe coding, folks producing software program with out really writing the software program,” he mentioned.

Speaking on the time period “vibe coding,” he says that’s mainly what coding is. “I’ve been vibe coding for many years … You’ve got an thought, you get it down, you take a look at it, and you then change stuff. The way in which persons are interacting with AI and orchestrating the code era — whenever you’re doing it with issues which can be visible, like a UI, you’ll be able to see is the button in the suitable place? Is it the right shade? Is the structure what I anticipated? If not, I re-prompt the LLM to repair it.” 

The place this has the potential to interrupt down is whenever you’re doing one thing rather more complicated, like on the backend, and never everybody will have the ability to vibe code their manner via these deeper functions. “Code is a legal responsibility and understanding the semantics of a program requires me to grasp Python or JavaScript or Go or another language. And never solely that, there’s issues I want to grasp like is this system thread protected? Is it concurrent? Is it satisfying knowledge race circumstances?”

Rabbah says that Flows hides this complexity and permits customers to visually validate their structure. He says this visible validation is what’s completely different this time round in comparison with different visible programming languages which have been round for some time, like Scratch or Simulink.

“We’re in a world of vibe coders the place you need to have the ability to visually validate,” he mentioned. “That’s the great thing about the revolution we’re in. Extra entry, extra folks, and are they constructing the suitable stuff?”

Disclosure: The reporter’s journey to POST/CON, together with flights, resort, and meals, was lined by Postman. The reporter additionally acquired a bag of convention merchandise.

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