AWS |
AWS Machine Learning Blog |
Protecting people from hazardous areas through virtual boundaries with Computer Vision |
https://aws.amazon.com/blogs/machine-learning/protecting-people-through-virtual-boundaries-computer-vision/
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Protecting people from hazardous areas through virtual boundaries with Computer VisionAs companies welcome more autonomous robots and other heavy equipment into the workplace we need to ensure equipment can operate safely around human teammates In this post we will show you how to build a virtual boundary with computer vision and AWS DeepLens the AWS deep learning enabled video camera designed for developers to learn machine … |
2021-04-13 18:49:06 |
AWS |
AWS Machine Learning Blog |
Enable cross-account access for Amazon SageMaker Data Wrangler using AWS Lake Formation |
https://aws.amazon.com/blogs/machine-learning/enable-cross-account-access-for-amazon-sagemaker-data-wrangler-using-aws-lake-formation/
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Enable cross account access for Amazon SageMaker Data Wrangler using AWS Lake FormationAmazon SageMaker Data Wrangler is the fastest and easiest way for data scientists to prepare data for machine learning ML applications With Data Wrangler you can simplify the process of feature engineering and complete each step of the data preparation workflow including data selection cleansing exploration and visualization through a single visual interface Data Wrangler … |
2021-04-13 18:27:54 |
Program |
[全てのタグ]の新着質問一覧|teratail(テラテイル) |
【Laravel】ログインユーザーがログインページに飛べてしまう |
https://teratail.com/questions/333103?rss=all
|
【Laravel】ログインユーザーがログインページに飛べてしまうAuthroutesを使ったのに、ログインユーザーがログインページに飛べてしまいます。 |
2021-04-14 03:35:17 |
AWS |
AWSタグが付けられた新着投稿 - Qiita |
ローカルを汚さずにお手軽に aws コマンドを使う |
https://qiita.com/tktcorporation/items/41b8d4f46e196c73f904
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2021-04-14 03:02:13 |
Docker |
dockerタグが付けられた新着投稿 - Qiita |
ローカルを汚さずにお手軽に aws コマンドを使う |
https://qiita.com/tktcorporation/items/41b8d4f46e196c73f904
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2021-04-14 03:02:13 |
海外TECH |
Ars Technica |
Today’s best tech deals: Logitech MX Master 3, Eneloop batteries, and more |
https://arstechnica.com/?p=1756359
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device |
2021-04-13 18:43:20 |
海外TECH |
DEV Community |
A Developer’s Guide to Analytics Implementation & Testing |
https://dev.to/avohq/a-developer-s-guide-to-analytics-implementation-testing-3a60
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A Developer s Guide to Analytics Implementation amp TestingWhen working with data teams spending chunks of our time chasing and squashing data bugs is no one s idea of a good time Those bugs can have a huge impact on the whole product even if they often seem insignificant from a development perspective We spend so much time bug squashing because we often find ourselves put in a reactive position by mediocre data management practices It would remove huge time wasters for everyone if we could proactively act on data quality One way to achieve that is becoming a data stakeholder a role that guides better workflows from the outset Eradicating trivial data quality issues allows all engineers on the team to spend less time chasing frustrating bugs and more time building worthwhile code We should follow implementation best practices test and validate our implementation to make sure our code functions correctly and our data is clean This helps avoid rework down the road So if we d rather create exciting new features than spend our time dealing with bad data and do overs here are the best practices for analytics implementation and testing to follow Caring about data analytics implementation and testing best practices saves developers time and frustrationWhen we care about analytics implementation and validation best practices it prevents bad data mitigating rework later on This saves a huge number of engineering hours that get wasted tracking down the error later ーnot to mention the frustration in trying to find what went wrong Other parts of the company might also be waiting for corrected insights to make clear decisions and they re getting held up as well One of Avo s customers is realistically expecting to cut engineering hours spent on implementing analytics by and that time saving largely comes from not having to chase down these bad data bugs anymore This makes everyone happier ーfrom the developer implementing tracking code to the product manager analyzing the data to the CEO making data based decisions Reworking represents a huge waste of time Kirill Yakovenko product manager at Termius knows this well Termius process for dealing with bad data was laborious and frustrating before they started using Avo of course “The problem with tracking mistakes says Yakovenko “is that each fix takes time It might take a month to roll out a fix for a single issue to all our applications and users Fixing analytics issues didn t just waste developer hours on the fix itself it also delayed product decisions because insights are crucial to making the right product decisions Caring about data analytics implementation and testing best gt practices help prevent bad data and rework later on Analytics implementation and validation processes often aren t something we consider when we think of testing code because it hasn t traditionally been a part of our main codebase nor is it part of our job to design But caring about data analytics implementation and testing best practices helps prevent bad data and rework later on As more businesses recognize the importance of online business as a primary revenue source data insights are important as ever and product analytics solutions like Amplitude and Mixpanel are becoming more critical When trying to implement analytics many developers report Incomplete implementation instructionsSystems that were designed with data as an afterthoughtLong feedback loops of the correctness of their implementationMultiple streams of feedback from different stakeholdersOn the testing side we and data teams often don t prioritize testing our code to make sure we re not putting garbage into our data systems Testing is time expensive complicated and easy to get wrong ーmaking it low priority Low priority generally translates to no testing at all which means that code either ships broken breaks during a later update or ships without analytics altogether However it s important that we take an active role in analytics implementation and testing best practices to help make our data teams and our own workdays more efficient After all it s much easier for us to fix data through testing these best practices at the source than it is to make corrections downstream especially if we ve already shipped Removing the frustration around data tasks and recouping development time by tweaking these processes is valuable Fixing bugs can take us as much as x the amount of time to fix later on if not caught early Developers within our own network report that up to of issues for a single team are analytics bugs We can slash that number down to size with these best practices in the bag Here s how Five best practices for analytics implementation and testingThese five practices make your analytics tests and implementation more efficient and consistent Your code can be implemented quickly without taking shortcuts or trading accuracy for convenience In other words you re beating the builder s paradox Think of the efficiency as the “human process side to data testing and implementation Easier replication of the same process or request while having clean code on the other side of that replication creates consistency Think of the consistency as the “code process side to analytics testing and implementation Breaking best practices down into matters of efficiency and consistency means you ll be able to reap the benefits of attending to analytics implementation and testing ーless time spent on frustrating re work and bugs and more time spent on your regular development workflow Request full implementation specs every timeRequest full implementation specs from your data team or product manager every time so you know where the code goes in your codebase and what the goal of implementing it is The main obstacle to straightforward implementation is that we often get ill defined data from our product managers Sometimes this results in stop gap solutions that work “well enough but require rework later on Other times it generates a lot of tiresome back and forth on how to implement The devs handle implementation as they think it should be done The PM comes back to the devs with something else that they d prefer The dev redoes the same work The cycle repeats until mutual satisfaction breakdown Holistic specs makes implementation and testing more efficient by preventing confusion around necessary actions Everyone is clear from the jump and no back and forth is needed Additionally these guidelines for implementing your code help ensure that all tracking is consistent between multiple platforms each time Consolidate feedback into a single source of truthConsolidate feedback into a single source of data truth that the data team can comment on and answer questions around before the code goes to production This involves the creation of a draft branch ーor a draft version for JSON lovers ーof your changes in your event analytics software or your tracking plan Consolidate feedback to ensure that it remains directed and issue oriented This also allows you to gather feedback in the specific context of the suggested changes That way everyone can see exactly what will be changed and can give feedback on it Feedback can come from anyone other developers data analysts and product managers who all have something to say about your approach to data analytics implementation This feedback is often ad hoc making it difficult to track the narrative of the changes needed or questions asked This is especially true if you don t have a solid tracking plan and your teams are siloed When you consolidate feedback into a single source of truth it increases implementation and testing efficiency by creating a single environment e g a shared doc or an easy to use tool like Avo in which you can surface questions Not only is it easier to have the relevant context then and there with descriptions but your data team can be pulled in to answer any questions that might come up When your data includes all relevant information that s accessible to all stakeholders at any time you can expect to see rapid turnaround on required changes and track any conversations about the particular changes made and the conversation about those changes Maintaining a single source of truth also helps consistency by giving you a chance to flag issues that arise during testing Your data team meanwhile gets an equal chance to flag an issue with downstream data if when they come across it Embrace versioning and test environmentsEmbrace versioning and test environments so you can test for analytics implementation errors before that code causes problems in your codebase out in the real world Faulty code during the product cycle is bad enough but faulty code in your released product can negatively affect customer success and by extension your business credibility For example if you re in a commerce business I can tell you that you will not want to be the developer on call or on the hook for an analytics break during the Black Friday rush Development moves fast and in the interest of time testing environments and versioning for analytics specs are either non existent or weak Instead the focus is squarely on getting to market in good time i e shipping fast As a result plenty of teams ship a product only to find out downstream that there s an issue Devoting attention to versioning and test environments increases the efficiency of your implementation and testing by solving problems at the source When you scan for errors at the source by using versioning and test environments that work by comparing your product against a golden ideal dataset and a copy of your production dataset you can clearly see where improvements are needed You can make them in real time and then press on with development So long rework Following versioning and test environment best practices also helps with consistency by incorporating them into your standard product development cycle It becomes the default Having a set process for testing your code before it goes to production will help you avoid inconsistencies in implementation before it s out in the real world Or as an Avo user puts it “Fewer stupid errors with analytics As a result you will consistently be able to release bug free products that perform better rather than chasing errors down the road Map data dependencies and lineagesCreate an ecosystem for mapping downstream dependencies Knowing how updates or changes will affect dependencies ensures fewer breaking changes are made It will also create an environment that fosters communication between teams responsible for dependencies throughout the project You ll gain a better understanding of why you re implementing specific data and you ll have a higher stake in the success of capturing and maintaining that data You ll also know who to contact if any changes you make cause issues in an important metric or campaign Data implementation is often carried out by devs who have a lot of other demands on their time so they optimize for getting it done Code goes to production without checks This is not only a problem in and of itself ーas analytics tracking builds on inconsistent implementation the quality of the data suffers When you have a better understanding of why data is being implemented you can see how the work you re doing is integral to heading off instances of bugs and misaligned code down the road Not only will this cause less frustration for you but your data team will thank you as well as anyone who depends on the insights produced This is anyone from marketing product even up to VP or executive level Mapping dependencies and lineages ahead of time cuts down on rework and headaches that are inevitable down the line when data quality practices are poor You can paint a representative upfront picture of what dependencies exist in your code Testing will then reveal any issues arising as a result of those dependencies before you re in production Data produced this way is tracked and tested and therefore correct and uniform downstream Use the right tools to make your life easierThere s a reason the next big thing in analytics is data governance What has been a frustrating and error prone process is now being solved with made for purpose analytics governance solutions Instead of just using manual tests finding the right data analytics tool can streamline your testing and data management and increase your data quality This allows you to spend more time on the code you enjoy building and less time squashing analytics bugs Avo is made so your data implementation is seamless Your whole team has access to a single source of truth where data specialists can send clear explicit implementation instructions to developers for each platform Developers love it as what that means in practice is “Goodbye guesswork when implementing code Using a type safe tool like Avo increases your efficiency as you no longer need to write explicit data tests every time Instead you immediately see if the app is getting the expected data or not Avo can be used in unit testing as part of your full test suite This makes it easy for you to test analytics functionality without going too far out of your way Here you can see an example of how to initialize Avo in a jest test environment with JavaScript Tools like Avo are great for your operation s consistency Avo s type safety means that unlike a lot of other data analytics tools you won t have to troubleshoot your event names and metadata based on syntax With Avo you can trust that it s right every time Data analytics implementation and testing best practices are importantーand they don t have to suckWithout any kind of optimization analytics implementation and testing is a laborious and unappetizing process By following implementation and testing best practices you re saving yourself from a magnitude of data bugs and unexpected code re work Good news There s a tool to help you with this Having Avo in your tool stack minimizes the amount of valuable time required for implementation and testing episodes It can eliminate the need for manual testing entirely In a time when both quality and speed to market are more important than ever trust you re building a better product Try Avo today to make analytics implementation a breeze for you and your team |
2021-04-13 18:31:02 |
海外TECH |
DEV Community |
The main client concerns about IT outsourcing and how we solve them |
https://dev.to/arateg/the-main-client-concerns-about-it-outsourcing-and-how-we-solve-them-53hf
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The main client concerns about IT outsourcing and how we solve themBased in Belarus our custom software engineering company has delivered more than projects to industries such as healthcare e commerce insurance education finance and banking Since we have been providing IT outsourcing services to organizations located mainly in the USA and Europe Collaborating with CEOs and CTOs for over years our experts have helped them address hundreds of business and technical challenges At the moment we are witnessing the rapid growth of IT outsourcing Although this practice allows saving costs and accessing high expertise there are some issues C level executives aim to resolve In this article we will consider the key concerns of CEOs and CTOs when outsourcing software development tasks The main concerns of CEOs and CTOs when outsourcing software development Legitimate issuesLegitimate issues have to be taken into account before hiring a software development outsourcing company When drawing up a contract you should include the clause about protecting intellectual property to prevent illegal distribution of your ideas requirements and know how Ask a potential IT service partner to sign a non disclosure agreement before sharing business specific goals and sending any documents for instance a technical specification Write down deadlines and deliverables to ensure all stages will be completed on time Since it is often challenging to predict the exact number of the necessary tasksーespecially for long term and complex projectsーit is also important to choose a proper payment model Here at Arateg we always start collaboration with signing an NDA to provide our customers with data confidentiality We consult with lawyers on all document related issues in order to ensure proper assignment of rights and intellectual property Payment modelConcluding a pricing model agreement you and an IT service vendor will define the work scope timeline and project cost It will also indicate what you actually pay for the number of spent hours completed tasks or the end result and performed KPIs Our customers said that sometimes they felt difficulties when choosing a type of an agreement Fixed Price Time and Material Mixed Mode or Dedicated Team especially when they wanted to establish a long term partnership with an IT outsourcing company In this case a high level of flexibility is crucial while it is possible to make accurate time and budget estimations for small occasional activities it is challenging to calculate the exact cost of building a complex product without a detailed technical specification At Arateg we analyze the project requirements to understand your business goals and help you draw up a pricing contract according to your needs Read our article “How to choose the best software development pricing model for your project to learn the peculiarities of different agreements Project managementHow will I control software project development if an IT outsourcing company is located in the other country This is a common concern of C level managers that IT service vendors should address Before delegating IT related tasks you should make sure a potential partner provides daily reports containing information about performed tasks planned activities and technical issues solved by the team In our software engineering company we focus on process transparency so that you can easily control the project We hold regular in person and virtual meetings to discuss the required issues and show the outcome of each stage Our experts communicate with you to get a clear understanding of your business needs show intermediary results and receive your feedback We also give you access to a time tracking system so that you can monitor deadlines and estimate the number of spent hours See what our customers say about cooperating with Arateg “We had a dedicated team of developers and the PM who was my contact person We had weekly meetings and time a month a meeting in person with the team Marketing Executive at Ad Tech Company“Arateg team is very responsive We can reach out to them at any time over Slack or Jira We had never the feeling that we are not heard The communication is superb We never lost time due to communication Managing Director and Product Owner at food pre ordering startup DeadlinesThe ability to meet deadlines is one of the key client concerns when outsourcing software development It is especially important when the organization aims to improve time to market while saving product quality To deliver the project on time software engineers should need to analyze the customer requirements and estimate the scope of work properly Continue reading |
2021-04-13 18:24:14 |
Apple |
AppleInsider - Frontpage News |
Render tool Redshift lands on macOS with native Apple Silicon support |
https://appleinsider.com/articles/21/04/13/render-tool-redshift-lands-on-macos-with-native-apple-silicon-support?utm_medium=rss
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Render tool Redshift lands on macOS with native Apple Silicon supportMaxon has launched a version of its Redshift render software for macOS enabling D artists to use the application on Macs equipped with Apple Silicon Redshift is a biased D rendering tool used by digital artists and animators to create D scenes images and animations While the tool has been available on Windows and Linux for quite some time Maxon announced it had brought the software to macOS on Tuesday The initial release includes native support for Apple s M as well as the Metal graphics API It is intended as a universal app with support for Intel based Macs arriving soon with the release of macOS Big Sur Read more |
2021-04-13 18:56:15 |
Apple |
AppleInsider - Frontpage News |
Apple shares yet another AR invite for the 'Spring Loaded' event |
https://appleinsider.com/articles/21/04/13/apple-shares-yet-another-ar-invite-for-the-spring-loaded-event?utm_medium=rss
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Apple shares yet another AR invite for the x Spring Loaded x eventJust as Apple did with its previous event invites the invite for the Spring Loaded event is available as an AR object on Apple s event website Apple s AR event invite for the Spring Loaded eventWhen on the Apple event webpage users can click on the Apple logo to enter AR view on iOS and iPadOS devices On macOS users can download the file and view the animation in Quick Look Read more |
2021-04-13 18:14:44 |
Apple |
AppleInsider - Frontpage News |
Apple announces April 20 special event - iPad Pro, AirTags expected |
https://appleinsider.com/articles/21/04/13/apple-announces-april-20-special-event---ipad-pro-airtags-expected?utm_medium=rss
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Apple announces April special event iPad Pro AirTags expectedApple has confirmed it will be holding a April release event on April called Spring Loaded expected to feature the long awaited AirTags an iPad Pro refresh and perhaps other surprises Apple April event inviteFollowing rumors and claims that Apple would hold an event at all in March Apple has announced that it will be holding one soon A press release and an Apple Event page update on Wednesday says that the event will take place on April Read more |
2021-04-13 18:06:14 |
Apple |
AppleInsider - Frontpage News |
Discord's iOS app now blocking adult 'NSFW' communities |
https://appleinsider.com/articles/21/04/13/discords-ios-app-now-blocking-adult-nsfw-communities?utm_medium=rss
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Discord x s iOS app now blocking adult x NSFW x communitiesDiscord is cracking down on adult content with the voice based chat service blocking servers tagged as not safe for work in its iOS app Audio chat service Discord will no longer allow NSFW content in its iOS appWhen Discord deems it appropriate the service can now designate entire communities as Not Safe for Work NSFW Any community tagged as NSFW will now be blocked entirely from the company s iPhone and iPad app Read more |
2021-04-13 18:06:49 |
Apple |
AppleInsider - Frontpage News |
Apple researching gaze tracking to alter lenses, control cameras in AR, VR |
https://appleinsider.com/articles/21/04/13/apple-researching-gaze-tracking-to-alter-lenses-control-cameras-in-ar-vr?utm_medium=rss
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Apple researching gaze tracking to alter lenses control cameras in AR VRApple AR hardware may move lenses or external cameras to provide an Apple Glass wearer with the right focus for precisely what they re looking at Apple Glass or other devices with a head mounted display could react to where the wearer is lookingApple has many previous patents regarding gaze tracking such as ones to do with privacy with detecting if you re distracted or reading a notification It s even had a couple solely to do with speeding up Apple AR by rendering just what you re looking at or lowering resolution of everything else to save power Read more |
2021-04-13 18:03:05 |
Apple |
AppleInsider - Frontpage News |
Apple TV+ button added to Roku remote, plus more support for HomeKit & AirPlay 2 |
https://appleinsider.com/articles/21/04/13/apple-tv-button-added-to-roku-remote-plus-more-support-for-homekit-airplay-2?utm_medium=rss
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Apple TV button added to Roku remote plus more support for HomeKit amp AirPlay Roku has launched a new remote control for its set top boxes sporting a dedicated Apple TV button and the company s new operating system adds HomeKit and AirPlay support for more products Roku unveiled a number of product launches on Tuesday covering both hardware and software in its streaming set top lines While the product updates are straightforward the changes also unusually include something directly related to Apple TV In images of the Roku Express K and the Roku Voice Remote Pro spotted by The Verge a number of dedicated buttons towards the base of the controllers are labeled for various streaming services with one showing the Apple TV logo Read more |
2021-04-13 18:07:09 |
Apple |
AppleInsider - Frontpage News |
Court warns Apple and Epic against 'surprises' ahead of May 3 trial |
https://appleinsider.com/articles/21/04/13/court-warns-apple-and-epic-against-surprises-ahead-of-may-3-trial?utm_medium=rss
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Court warns Apple and Epic against x surprises x ahead of May trialThe court dealing with the May Apple and Epic trial over App Store rules has used a motion denial to remind the two sides that the trial is meant for measured consideration of evidence not surprises In the filing published on Monday in the United States District Court for the Northern District of California Judge Yvonne Gonzalez Rogers denies a motion by Apple to prevent Epic from allowing certain third party witnesses from taking part in the Apple Epic trial Apple motioned to the court to exclude three third party witnesses for Epic namely Vivek Sharma of Facebook Microsoft s Lori Wright and Benjamin Simon of Yoga Buddhi Apple reckoned that Epic violated rules for failing to disclose the witnesses as individuals as it had instead listed their employers Read more |
2021-04-13 18:08:34 |
Apple |
AppleInsider - Frontpage News |
Pro Display XDR marketing drops 'far beyond HDR' label in UK |
https://appleinsider.com/articles/21/04/12/apple-drops-far-beyond-hdr-claim-for-uk-pro-display-xdr-marketing?utm_medium=rss
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Pro Display XDR marketing drops x far beyond HDR x label in UKApple has changed how it markets the Pro Display XDR in the United Kingdom following complaints to an advertising regulator with it no longer using the words Far beyond HDR to describe the screen Apple s Pro Display XDR is an impressively powerful monitor capable of displaying HDR content as well as Dolby Vision and HLG playback While Apple routinely proclaims the display s virtues it s had to modify its messaging in the United Kingdom at least Following complaints made to the Advertising Standards Authority Apple has updated its website to remove the phrase Far beyond HDR from descriptions of the Pro Display XDR The second paragraph on the page eliminates the terms from the final statement which previously read Far beyond HDR it s Extreme Dynamic Range XDR Read more |
2021-04-13 18:09:54 |
海外TECH |
Engadget |
Apple TV+ docuseries will explore high-tech music production with Mark Ronson |
https://www.engadget.com/apple-tv-mark-ronson-music-docuseries-181208458.html
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apple |
2021-04-13 18:12:08 |
海外TECH |
CodeProject Latest Articles |
A Brief Introduction to AI and Machine Language Translation |
https://www.codeproject.com/Articles/5299745/A-Brief-Introduction-to-AI-and-Machine-Language-Tr
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automatic |
2021-04-13 18:32:00 |
海外科学 |
NYT > Science |
NFTs Are Shaking Up the Art World. Are They Also Fueling Climate Change? |
https://www.nytimes.com/2021/04/13/climate/nft-climate-change.html
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gases |
2021-04-13 18:23:12 |
海外科学 |
NYT > Science |
More Contagious Covid Variant Is Now Dominant in U.S., C.D.C. Says |
https://www.nytimes.com/2021/04/07/us/politics/coronavirus-variants-cdc.html
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More Contagious Covid Variant Is Now Dominant in U S C D C SaysThe B variant first identified in Britain is now the source of most new coronavirus infections in the United States the director of the Centers for Disease Control and Prevention said |
2021-04-13 18:23:39 |
海外ニュース |
Japan Times latest articles |
Ready or not, Hideki Matsuyama is now a national hero in Japan |
https://www.japantimes.co.jp/sports/2021/04/13/more-sports/golf/hideki-matsuyama-quiet-hero/
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Ready or not Hideki Matsuyama is now a national hero in JapanWith his dramatic win at the Masters the glare of fame will be inescapable for the year old who has preferred to focus on improving his |
2021-04-14 03:18:17 |
ニュース |
BBC News - Home |
Covid: People 45 or over in England invited to book vaccine |
https://www.bbc.co.uk/news/uk-56729897
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covid |
2021-04-13 18:16:43 |
ニュース |
BBC News - Home |
US says troops to leave Afghanistan by 11 September |
https://www.bbc.co.uk/news/world-us-canada-56737563
|
afghanistan |
2021-04-13 18:16:58 |
ニュース |
BBC News - Home |
NI riots: 'Young people are still being brainwashed' |
https://www.bbc.co.uk/news/uk-56738107
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canning |
2021-04-13 18:10:02 |
ニュース |
BBC News - Home |
England v Canada: Evelyne Viens puts Canada ahead after Demi Stokes' defensive error |
https://www.bbc.co.uk/sport/av/football/56740399
|
England v Canada Evelyne Viens puts Canada ahead after Demi Stokes x defensive errorEngland left back Demi Stokes loses the ball in her own area playing Evelyne Viens in on goal who tucks home a lovely clipped finish |
2021-04-13 18:41:57 |
ニュース |
BBC News - Home |
Covid-19 in the UK: How many coronavirus cases are there in your area? |
https://www.bbc.co.uk/news/uk-51768274
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cases |
2021-04-13 18:12:32 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
新型コロナの再感染率は?感染半年後で0.65% - カラダご医見番 |
https://diamond.jp/articles/-/267719
|
新型コロナの再感染率は感染半年後でカラダご医見番デンマークでは昨年月から、万人の国民を対象にSARSCoV新型コロナウイルスのPCR検査を拡大してきた。 |
2021-04-14 03:50:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
ビットコインの世界、ETF登場でどう変わる? - WSJ PickUp |
https://diamond.jp/articles/-/268396
|
wsjpickupetf |
2021-04-14 03:45:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
堤清二、矛盾や対立を自己形成と事業の原動力にした経営者 - The Legend Interview不朽 |
https://diamond.jp/articles/-/268255
|
堤清二、矛盾や対立を自己形成と事業の原動力にした経営者TheLegendInterview不朽前回は、年月日号に掲載された西武鉄道グループの元オーナー、堤義明のインタビューを紹介した。 |
2021-04-14 03:40:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
ミャンマー経済崩壊、工場も銀行も人影なく - WSJ PickUp |
https://diamond.jp/articles/-/268397
|
wsjpickup |
2021-04-14 03:35:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
コロナ禍休まない社員、休暇取得で現金支給の窮余策 - WSJ PickUp |
https://diamond.jp/articles/-/268398
|
wsjpickup |
2021-04-14 03:30:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
経産省レポートが警告、DXで生き残るために企業が取るべきアクション - DX最前線 |
https://diamond.jp/articles/-/268103
|
商務情報政策局 |
2021-04-14 03:25:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
イラン、ウラン濃縮度60%に引き上げへ 核交渉に暗雲 - WSJ発 |
https://diamond.jp/articles/-/268431
|
引き上げ |
2021-04-14 03:21:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
コロナ就活の重要キーワードは「ジョブ型雇用」と「人生100年時代」 - 就活最前線 |
https://diamond.jp/articles/-/265027
|
働き方改革 |
2021-04-14 03:20:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
東京女子御三家「桜蔭」の東大合格者数が増えた理由 - 中学受験のキーパーソン |
https://diamond.jp/articles/-/268244
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中学受験 |
2021-04-14 03:15:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
発達障害の僕が発見した「向いている職種」「破滅する職種」の見分け方 - 発達障害サバイバルガイド |
https://diamond.jp/articles/-/267495
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2021-04-14 03:10:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
「マウンティングしてくる残念な人たち」へ復讐する方法 - ストレスフリー超大全 |
https://diamond.jp/articles/-/267835
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「マウンティングしてくる残念な人たち」へ復讐する方法ストレスフリー超大全コロナ禍や自粛生活などの「環境の変化」により、多くの人が将来への不安を抱え、「大きなストレス」を感じています。 |
2021-04-14 03:08:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
「面白く考えられる人」「いつも退屈な人」の決定的な差 - 考える術 |
https://diamond.jp/articles/-/265497
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特別公開 |
2021-04-14 03:06:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
家具小売り業界で、 ニトリが大きく成長できた たった1つの要因とは? - 経営トップの仕事 |
https://diamond.jp/articles/-/268165
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家具小売り業界で、ニトリが大きく成長できたたったつの要因とは経営トップの仕事競合がひしめき合っていて、一見、レッドオーシャンに見える市場でも、実はお客さんが潜在的に「もっと、こうだったら良いのに」と思っていることがあり、まだ具現化されていないブルーオーシャン状態のニーズが潜んでいることがある。 |
2021-04-14 03:04:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
5つの舞台でアルファを創造し、 平均を上回る 驚異的なリターンを実現する - ハーバード式不動産投資術 |
https://diamond.jp/articles/-/268166
|
つの舞台でアルファを創造し、平均を上回る驚異的なリターンを実現するハーバード式不動産投資術どんな時代でも勝ち残れる不動産投資家にるためには、どうすればいいのかハーバード式不動産投資術の極意として、ぜひおさえていただきたいのが「Creatingα」アルファを創造することだ。 |
2021-04-14 03:02:00 |
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