How to Make An Agenda for A Meeting Template

Monday, February 10th 2020. | Sample Templates

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how to Make a meeting Agenda Template identifying the way to run each company meeting you cling or leaving it up to department heads to control each and every meeting can result in disorganization and a waste of time. Create a template any individual can use to arrange a meeting agenda; your business will function more efficiently and you may get greater carried out at meetings. decide upon a structure A useful first step in developing a gathering agenda template is to check what classification of assembly format you are looking to use. If it’s for standard, weekly branch meetings, you may limit the structure to designating the order of the presenters. If it’s a extra formal meeting of traders or the executive team, you might use a structured format that includes an reputable start to the assembly, includes some pre-discussion housekeeping, orders the presentation of advice after which comprises a wrap-up method. install Your Sheet start your agenda template with a heading that leaves area for the date, vicinity and time of the meeting, in addition to a line for the purpose of the assembly when you are making a template you will use for different types of conferences. If the template is for only one type of meeting, such as a month-to-month meeting of department heads or quarterly assembly of govt management, put the assembly identify on the precise. next, list the leading meeting agenda classes. accept as true with headings such as name to Order, aim of assembly, shows and assembly close. Designate who will latest each and every part. record Subcategories below the leading classes, checklist the subcategories. under name to Order, you could include Roll call, Introductions, Approval of outdated meeting Minutes, President’s document and Treasurer’s file. under aim of meeting, leave adequate blank space for meeting organizers to encompass that assistance. beneath presentations, beginning with old business after which depart sufficient room for a gathering organizer to checklist the day’s new subject matters of dialogue. in case you hold conferences by using committee or branch, beginning with New business and listing each branch or committee name. After the final committee or branch heading, checklist historic enterprise, where you evaluation unfinished tasks from the final meeting. below the meeting shut, list motion objects, next assembly Date and Adjournment. details depart area for details on the template, corresponding to presenters’ names, the time of each presentation and breaks. Your agenda should permit the assembly organizer to create a timetable that keeps the assembly on track. for instance, the agenda might beginning with “call to Order and roll call, 9:00,” adopted with the aid of “Introductions, 9:05,” all of the approach via to the finish of the assembly. This informs attendees how lots time they must make their presentations, when they are able to smash for calls or emails and when the assembly adjourns. Six Steps that you may Take To Make every meeting value displaying up to with the aid of Erin Blaskie, Director of advertising and marketing at Fellow.app, a meeting workspace for teams. getty How again and again have you heard “This meeting might have been an e-mail”? How repeatedly have you left a convention room, virtual or in any other case, feeling like your time could have been tons improved spent?  How often did you leave a gathering feeling like your speaking facets weren’t addressed and that your voice wasn’t heard?  We’ve all been in terrible meetings and have felt the damaging consequences of them. It’s a pervasive problem that indicates up in every company — from startups the entire way as much as the Fortune 500 — and consequences in hours of misplaced productiveness. The decent news is it doesn’t deserve to be that way. below, you’ll find six easy steps for you to take to make every assembly you schedule greater productive and value showing as much as. 1. Use a gathering Agenda Template the usage of assembly agenda templates for each meeting — one-on-ones, group meetings, go-purposeful conferences — will help you save time and create consistency across all of your meetings. Templates will also be sure essentially the most essential and significant issues are mentioned at each assembly. Saving and reusing the equal template will construct the addiction of assembly guidance across your crew, and everybody will know precisely what needs to be prepared. 2. Collaboratively construct An Agenda In improve When individuals give you the chance to make contributions to a meeting agenda and put together ahead of time, they consider more engaged and included in the conversation. That’s why it’s recommended that you just construct an agenda before each assembly, collaboratively. this may make sure that all talking points are recorded and that all and sundry on the assembly has a voice — chiefly when you have individuals of your group who’re naturally just a little quieter. 3. list assembly Notes In real-Time Most people who attend conferences elevate in a paper pc, take their own notes and on no account floor these up to the rest of the group they are working with. When and if that grownup departs the business, the old listing of these notes and choices are interested by them. Recording assembly notes in true-time will enhance transparency with people who are concerned within the meeting, in addition to create a single source of fact for meetings, groups and initiatives. Now that most of the workplace world is working remotely, creating a supply of actuality for the choices you’re making at meetings can be vital for crew alignment and communication. four. Assign Clear motion objects For follow-Up have you ever ever left a meeting and had no theory what to do next? unluckily, everybody knows that feeling. in case you need your conferences to be productive, you should view the assembly as a productive work session. This potential ending every assembly with clear action gadgets and comply with-up. this fashion, when all and sundry leaves the assembly, they could dive straight into their project checklist with readability. here’s one seasoned tip for you: follow up on incomplete action items at first of each and every of your ordinary conferences. here is a pretty good option to raise your group’s usual productiveness and grasp each person accountable. 5. organize action items Jotting down action objects on your meetings capacity very little in case you don’t do anything with the observe-up. excessive-performing people understand that tracking action gadgets publish-meeting, organizing them through project and/or precedence and following up on them at once is the optimal approach to retain things relocating. It’s additionally a good strategy to exhibit your group that you simply’ll do what you talked about you’d do. Being equipped and thoughtful about your comply with-up skill that you simply construct believe and reliability together with your group. 6. provide And Get comments About meetings changing remarks is a superb technique to inspire steady improvement and iterate on what isn’t working in addition to you’d like, and here’s especially true for conferences. should you’re pulling your team into conferences all over the week, you wish to comprehend that it’s a fine use of their time, and that they wish to suppose like their time is smartly spent. Sending out a remarks request at typical intervals about the meetings you’re hosting will ensure that they stay imperative, advantageous and clean. The downsides to poorly run conferences are a whole lot — lost salary, time wasted, a hit on company subculture, to identify just a few — nonetheless it doesn’t ought to be that way. enforcing these six steps for every single meeting will make certain that your meetings go from a complete waste of time to time smartly spent. The algorithms defining sexuality suck. here’s the way to make them stronger. Mashable’s sequence Algorithms explores the mysterious lines of code that increasingly handle our lives — and our futures. Ever due to the fact that porn changed into credited as one of the vital innovating forces in the back of early information superhighway technology, we’ve develop into passionate about the thought of tech enhancing our sex lives. We’re so attractive for it that we’ve got helped construct a $30 billion business it is anticipated to maintain transforming into. Sextech commonly sells americans on the promise that algorithms can optimize users’ sexual experiences. however a vast majority of algorithms constructed explicitly for pleasure stay rudimentary at finest and hazardous at worst — together with these used in smart biofeedback sex toys and AI-generated porn deepfakes. it’s as a result of loads of sextech relies on a grossly reductive view of sexuality. display A: The all-male startup that claimed to invent an algorithm that can “validate” actual versus fake female orgasms. show B: The Autoblow A.I. fellatio laptop which guarantees "the superb blowjob” due to synthetic intelligence fed porn video facts. Even the most advanced, neatly-intentioned sextech is held back through an absence of reputable intercourse analysis, accurate information, and clothier range. That’s on suitable of the biases developed into algorithms, overstated tech capabilities, advertising gimmicks, and Silicon Valley capitalism.  “The pleasure product industry is without doubt one of the few industries that has been pretty untouched by using modern technology,” spoke of Liz Klinger, co-creator of the Lioness biofeedback rabbit vibrator, which tracks and generates charts of your vaginal contractions all the way through arousal. The largest tendencies of VR and remote handle sensible toys, she cited, use tech that’s decades historical. “current agencies simply don’t understand how utility, statistics, AI, or other expertise can introduce new experiences or appeal to new, distinct demographics.” The failures to combine algorithms into sexual exploration and expression go past an old-fashioned adult toy industry and bleed into all corners of the cyber web. because it stands now, the binaries encoded in algorithms seem almost diametrically adversarial to the advanced spectrum of human sexuality.  however there are ways to trade that. The binaries encoded in algorithms can seem to be pretty much diametrically opposed to the advanced spectrum of human sexuality.  “Technologists write algorithms that are interacting with these very advanced social techniques as a right or history of their complexities. however there’s already loads of tips accessible on the way to approach gender and intercourse that you just should include into your algorithm,” spoke of Annie Brown, the founder of Lips, a social media sharing platform that uses machine studying to create a safe house for women and LGBTQ folks to categorical themselves sexually.  The algorithms policing sex on social media have such little nuance that they can’t even differentiate porn from intercourse ed, sexual fitness, or intercourse commentary. Sexism and homophobia are so entrenched in how structures like facebook and Instagram police sexuality that ads for women’s sex toys and HIV/AIDs prevention are banned whereas adverts for condoms and erectile dysfunction capsules are allowed. these equal biases plague algorithm-pushed sextech instruments, too, which commonly impose false and exclusionary ideals about what the "best" sex may still consider like. Lack of scientific research and records round pleasure and intercourse, specifically when it comes to americans with vaginas, makes it nearly unattainable for sextech to bring on its guarantees of sexual optimization. It does not have to be that manner, notwithstanding. Algorithms do not should default to constricting heteronormative male views on sexuality. as a substitute, just a few companies are grounding their algorithms in more inclusive feminist strategies to sexuality in the hopes of countering these cultural biases.  nevertheless it takes funding to are attempting whatever new, which the vast majority of the intercourse and tech industries have to date been unwilling to pony up. WATCH: here is how algorithms work “We’re seeing a rise in americans the usage of sextech to believe related,” spoke of SXNoir, an activist for sex people’ digital rights, vp of girls of Sextech, and a self-described thot chief. “but I all the time say, with sextech, we’re not educating yoga or promoting smoothies right here. We’re coping with anything so tricky, so personal, so deeply rooted in anybody. We deserve to feel carefully about the philosophies we’re placing into these algorithms and talk about their knowledge harms as an awful lot as their talents merits.” as soon as we start doing that, the sex-tremendous talents of algorithms are theoretically infinite. “There’s lots that algorithms, software, and different technology can do to help improve pleasure and realizing of our personal sexualities,” stated Klinger. “For Lioness, some of the makes use of I’m seeing is employing actual-world intercourse facts to position different experiences of delight into context for our clients.” possibly the finest capabilities for algorithms within the sexual wellbeing container may lie past just explorations of enjoyment. in response to Emily Sauer — the creator of the Ohnut wearable that allows couples to personalize penetration depth to keep away from pain — algorithms may support eradicate the societal shame of brazenly discussing our sexual difficulties. “We flip to sextech to suppose less by myself,” noted Sauer. “We wish to know how we relate to all and sundry else in the course of the tech, the statistics, as a result of nobody’s talking about these taboo things that make us uncomfortable.” The promise land of algorithmically-driven sexual exploration is like twiddling with fireplace, although. Algorithms are as able to destroying fit relationships to sex as nourishing them. Fixing the algorithms that police sexuality Time and time again, algorithms were proven to perpetuate the implicit biases of human beings round gender and race. the most influential algorithms informing sexual expression in our modern world are not any exception.  leadership at social media groups like fb and Twitter are usually often white, heterosexual, cis men. they’re additionally those who get to come to a decision what their platforms — and the algorithms that monitor them — believe applicable sexuality versus obscenity, or sexual exploitation versus sexual expression on the internet. Unsurprisingly, these definitions of sexuality are revealing themselves to be very slim and discriminatory.  intercourse-blocking off algorithms have been found to disproportionately censor marginalized businesses, notably LGBTQ individuals, sex people, and girls. One cybersecurity enterprise found that over 73 % of online content flagged as inappropriate featured LGBTQ americans. aside from straight-up deleting and blocking bills, the more subtle phenomenon of shadowbanning has been accused of enabling apps like Instagram and TikTok to exclude marginalized people’s content from discovery and explore pages. Instagram’s CEO has talked about shadowbanning "isn’t a aspect," whereas TikTok has admitted to the apply — however a TikTok representative stated its intentions have been first rate despite the fact that its execution changed into now not. “bills like Playboy and Kim Kardashian are welcome on social media systems because they follow a mainstream view of sex. but the 2nd that you have any choice expression of sexuality that doesn’t cater to the male gaze, it is something their algorithms deem hazardous and unacceptable,” referred to Brown. according to SXNoir, the discriminatory, anti-sex algorithms on social platforms had been accelerated by way of legislation like FOSTA/SESTA. aimed at stopping sex trafficking, it made tech groups legally responsible for the entire sexual content material on their websites. This incentivized social media systems to censor sex much more, disproportionately impacting marginalized organizations like sex employees and queer communities, who rely on the internet for safe sexual expression. "What occurs is that sexuality as an entire turns into collateral hurt in digital areas,” referred to SXNoir. “intercourse laborers turn into the scapegoats for censoring each person’s freedom of speech, expression, privateness.” simply look at Tumblr, which was flagged by way of Apple for infant pornography in 2018 after the invoice passed. in its place of investing in stronger algorithms that may distinguish between sexual expression and sexual exploitation, Tumblr banned adult content altogether. This left the queer communities and sexual subcultures who thrived on it with nowhere to show. different tech corporations like fb are making equivalent decisions, imposing greater punitive guidelines round intercourse rather than nuanced algorithms. “We should create technology for us and by means of us. The explanation why technology doesn’t at present work neatly for BIPOC, queer individuals, these conducting sexuality, is as a result of we don’t seem to be those developing the guidelines, the Codes of behavior," noted SXNoir. As viewed in contemporary discourse round OnlyFans, "Black intercourse employees are very a great deal pioneers of those digital areas, those who [often need to] navigate sexuality on the information superhighway probably the most. We’re futurists. And we deserve a seat at the table.”  Lips is attempting to just do that, via working with these marginalized with the aid of social media algorithms and making them the important forces powering new algorithms round sexuality. “Black sex worker’s are very a great deal pioneers of these digital spaces, the ones who navigate sexuality on the web the most."  Launched a pair months after the Tumblr ban, it provided a brand new domestic for people that had been kicked off. apart from being a safe sharing platform for sincere sexual expression and exploration for the marginalized, it’s also a market for these banned from advertising on other social platforms, like organizations who work in HIV/AIDS prevention. regardless of what giant social media systems need you to agree with, Brown stated, it’s truly feasible to create algorithms that may distinguish between criminal and unlawful sexual content. however making them takes time, investment, diversity among builders and clients, a social-theory primarily based moderation process, and explicit anti-hate speech agendas that offer protection to marginalized voices. subsequently, notwithstanding, doing all that just isn’t automatically profitable for these tech agencies. Lips prides itself on a laptop researching equipment that empowers its distinct community of users to instruct the algorithm to remember the granular distinctions between sexual exploitation versus expression. as a result of whereas both computers and people have a tough time defining those transformations in concrete terms, individuals can inform the change between, say, erotic paintings versus pornography when it’s in entrance of them. (Famously, in a court case attempting to differentiate obscenity from erotica, former Supreme courtroom Justice Potter Stewart noted, "I are aware of it after I see it.") “you’re using the vigour of the collective to create the capabilities base and data set, which the algorithms can then follow in a way that’s quicker than anybody individual could,” Brown talked about of Lips. Of route, this requires confidence for your person base, which is why Lips implements a gated entry. anyone can browse Lips. but to participate within the neighborhood you should follow by using submitting a pair posts you want to make contributions to the platform as well as counsel on why you are looking to be part of. users who reveal an understanding of intercourse-positivity tend to be more certified to make these judgment calls. Feeding their skills into the algorithm teaches it to be more positive and unbiased about sexuality than the cis, white, heterosexual male gaze that at present informs the guidelines. That’s on suitable of the range of their crew on the backend, who prepared the ground in getting rid of as lots discriminatory bias as feasible from how the expertise itself is built. "A computing device doesn’t inherently weed out what it individually thinks is icky or inappropriate.” They’re also the use of a different tagging equipment that additional displays their sex-nice outlook that doesn’t disgrace or yuck individuals’s yum. It’s an inclusive in preference to exclusive equipment. This skill that instead of clients inputting preferences that exclude others, every little thing is allowed on the leading feed. Then, users curate it to what they like by labeling the class of posts they’d somewhat no longer see once more. It’s an extension of the philosophy that everything that’s felony and doesn’t bog down others’ expertise to specific themselves should be allowed to exist on the main feed of Lips — even though a lot of people don’t care for it. however Lips additionally is aware of that to achieve its vision, it can’t just depend on machine getting to know moderation. It prioritizes a team of human experts with backgrounds in, as an instance, exploitation, who can extra gut investigate disputed submissions. Brown believes that, in many ways, algorithms can permit for a kind of disgrace-free exploration of intercourse that real-lifestyles can’t. “intercourse is one of those things where it’s definitely challenging for us to look backyard our own perspective because it’s this type of visceral factor. however a computing device doesn’t inherently weed out what it in my opinion thinks is icky or inappropriate,” she spoke of. “A computing device has more of an ‘if, then’ method to sex that can be a good idea. however it depends upon who’s developing the computing device, what facts you’re feeding it, and even if it’s sizeable and diverse satisfactory to be a fine algorithm.” The algorithms for improved sextech hardware There’s an oversaturation of facts-tracking and AI gadgets available on the market that claim their tech optimizes or enhance sex through algorithms. unluckily, the huge majority of them use loads of overstated tech-speak to sell people on unattainable guarantees. On proper of the same issues with implicit biases, sextech lacks respectable, representationally different scientific data as well as reputable technologists. Take the Autoblow A.I. The methodology behind its artificial intelligence are particular in a not peer-reviewed paper with nameless authors, spear-headed by way of one scientist who told Vice they had a "PhD on AI stuff” while the rest of the group changed into generally engineers. The records become gathered by a advertising and marketing enterprise, which Autoblow A.I. labored with in the past on a vagina attractiveness contest. by way of looking at POV porn videos of blowjobs, they translated the linear motions into data with a slider tool, which changed into then put into a neural community that developed the gadget’s haptic comments patterns.  Autoblow A.I. creator Brian Sloan told Mashable in an e-mail that the statistics-gathering group used video sorted from most to least general on Pornhub. The race of performers became no longer regarded significant. About ninety percent of the movies confirmed a woman giving a blowjob and 10 p.c showed a person giving a blowjob. but Sloan referred to that "even though there were changes between how homosexual or straight people carried out blowjobs, the Autoblow’s penis gripper and motor gadget does not perform at this sort of high resolution that these transformations would be felt with the aid of clients." As for the diversity of the group in the back of the expertise, Sloan observed, "I rent by way of skill and cost; no longer with the aid of race or sexual orientation. I don’t think it’s acceptable to ask people who work for me about their race or sexual orientation since it is unrelated to their work and in customary none of my company." it’s smartly favourite that porn (specially on Tube sites) overwhelmingly caters to cis, straight, white men. Regardless, porn is also a visible efficiency of sex, which doubtless isn’t representative of what a great blowjob looks like. in accordance with Kyle Machulis, a software engineer in sextech who created buttplug.io, it’s one of the vital many the explanation why the data set used for the Autoblow A.I. can’t convey on its promise of being the "optimal blowjob computer in the world" that can help you "have fun with blowjobs the identical means they’re given in precise lifestyles." “intercourse is a posh emotional and sensory adventure, and algorithms can most effective replicate vague traces of that journey,” Machulis talked about. “The hardware that the algorithms are controlling is usually nothing like someone someone would have intercourse with, and to suit the advertising, the algorithms themselves need to distill the entire desire and lust and smells and touches and sounds of sex into that crappy hardware. it’s a challenging situation even for the best of engineering and analysis groups, and most sex toy groups have neither engineering nor research teams.” Sloan countered through asserting that, "it is obtrusive that oral intercourse contains different auditory, physical, and emotional sensations, but at the least to us it is also obvious that the different features are practically not possible to measure, and even nearer to impossible to reproduce in a physical product that expenses just a few hundred greenbacks… while each inventor including myself would love to encompass innumerable fantastical features in his invention, we are regrettably confined to simplest these that are fairly attainable at a cost-effective charge. I even have been granted a number of patents both on the computing device itself and on strategies for automated porn synchronization using desktop researching we plan to make use of for future iterations. it truly is to assert we’re pushing our container forward and pioneering the way forward for A.I. in sex toys." The underlying concerns with the Autoblow A.I. communicate to how an unlimited majority of intercourse instruments incorporating algorithms depend on an interpretation of intercourse that levels from rudimentary to dehumanizing. wise cock rings do that, too. Take, as an example, the wonderful, which is marketed as a Fitbit for optimizing your intercourse life that collects biofeedback facts throughout the act to study what you and your accomplice like and provides personalized advice for development. In follow, although, it simply tracks the elapsed time of intercourse, pace, and depth of the cock ring-wearers thrusts — which, you understand, isn’t very constructive for a lot of the rest, least of all the adult receiving the penis.  Or there’s a Fitbit for vaginal wellbeing, the wise kegel trainer Elvie, which promises “stronger bladder control, faster postnatal recovery, and more suitable intimacy.” It’s one of the crucial most obvious examples of a gamified sexual health algorithm. You play a literal video game the place the energy and timing of your vaginal contractions actually acts like a controller. It also can discover in case you’re doing the kegel wrong — yet fails to provide any type of in-depth guide on a way to do it correct. It also doesn’t account for how, often, vaginal ache all through sex comes from the pelvic floor being too stressful and constricted. “a lot of these new items that measure all different types of physiological responses view intercourse only in the actual realm of delight. but sex isn’t just a actual want. There’s a psychological component,” observed Sauer. “information-focused items commonly fail to ask what’s the purpose of intercourse? How can we need to believe about ourselves right through intercourse? as a result of when sex is anything under ideal, or someone’s physique isn’t meeting that algorithm’s expectations, the final element you need is something measuring your efficiency level.” "Our human nature is then to use that sexual information as a dimension towards ourselves.” eventually, a lot of sextech sells us on the promise of validation from the seeming objectivity and impartiality of an algorithm. but as we know, there’s no such aspect as an unbiased algorithm. There’s additionally little records on sexual pleasure (notably for people with vaginas) that might even allow for an “goal” measure of delight. “I do believe that there is cost in that facts,” observed Sauer. “I simply consider that our human nature is then to make use of that sexual facts as a size against ourselves.” most likely no person is aware of that improved — and how an awful lot notion and care must go into an ethically statistics-driven sextech device — than Klinger, the co-creator of Lioness. right through its early construction section, three different abilities cis, male, heterosexual buyers recommended she create a leaderboard to measure which users had the “most” or “most reliable” orgasms. “I don’t even comprehend how you’d measure that, or what that even capability,” Klinger noted.  There is no greatest or “superb” orgasm. The total element of the Lioness, definitely, was to support clients bear in mind how particular person sexual arousal is: Some decide on orgasms with a longer lead up time, others opt for orgasms that closing longer, while others like smaller successions of distinctive orgasms. The factor of the records is not to measure the “adequacy” of your pleasure, however to motivate curiosity over the multiplicity of how we can adventure pleasure. So, as an alternative of gamification, “We are attempting to frame Lioness almost like a meditation app versus a intention-oriented exercise app. you are now not competing in meditation. or not it’s greater about carrying on with the follow, having a journey, studying about your physique’s adventure, rather than making an attempt to compete for quicker, better, or stronger orgasms.” I even used the Lioness along side a meditation biofeedback-tracking machine exactly to do this, tracking diverse physiological and psychological responses through experiments in mindful sex. As a lady who dealt with anorexia and body shaming growing up, it become standard to Klinger that the records never be presented in a method that impressed self-critique — or invalidated, judged, or even recommended clients on how to have an “greatest” event. in its place, the app often simply gives you the hard facts, and encourages you to fill out the journal to describe the way you felt and the way it relates to your interpretation of referred to records. In an upcoming replace, the team plans to supply courses in the app to help users learn how to stronger interpret their own records. however they never want the algorithm itself to impose any strict which means or assumptions — youngsters that it will doubtless be more ecocnomic to do so. What Klinger and the Lioness crew have just launched, even though, is a analysis platform the place users can decide-in to repair one of the most greatest considerations that’s preserving sextech algorithms again: all that rigorous, respectable scientifically-gathered facts on sexual characteristic we don’t have.  no longer only is there a lack of analysis on the subject matter, however the facts that does exist additionally has its personal biases on account of the lack of a diverse or massive enough sample dimension. That’s why Lioness is additionally making an attempt to get free instruments to individuals who need to participate in these studies but can’t afford the excessive can charge of most sextech. Two upcoming experiences center around the pelvic ground muscular tissues’ relationship to orgasms while a further focuses on experiences of delight in menopausal ladies (one more severely understudied theme). What Lioness subsequently does through its facts-pushed algorithm is give clients access to advantage about themselves that they’ve been sorely robbed of. “there’s so little locations to get official, personalized tips about your own intercourse life, your own physique. And there’s few areas to explore that effectively,” Klinger noted. the wedding between algorithms and intercourse is in its infantile levels. however what’s clear is that no algorithm — no be counted how wise — will ever eradicate the need for a human knowing of sexuality. read greater from Algorithms:.

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