投稿時間:2021-12-08 06:27:31 RSSフィード2021-12-08 06:00 分まとめ(34件)

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TECH	Engadget Japanese	2012年12月8日、画面付きゲームパッドに驚いた「Wii U」が発売されました：今日は何の日？	https://japanese.engadget.com/today-203012526.html	装備	2021-12-07 20:30:12
Google	カグア！Google Analytics 活用塾:事例や使い方	TikTokのギフトにある宝箱は、TikTokライブでリスナーの滞在時間を増やす新機能です。宝箱を開けるためにリスナーさんが長く聴いてくれるようになります。	https://www.kagua.biz/social/tiktok/20211208a1.html	TikTokのギフトにある宝箱は、TikTokライブでリスナーの滞在時間を増やす新機能です。	2021-12-07 21:00:04
海外TECH	Ars Technica	Landmark $150B lawsuit seeks to hold Facebook accountable for Rohingya genocide	https://arstechnica.com/?p=1818636	alleges	2021-12-07 20:24:55
海外TECH	MakeUseOf	What Does Google's New "Quick Tap to Snap" Feature Do?	https://www.makeuseof.com/google-pixel-quick-tap-to-snap/	snapchat	2021-12-07 20:48:29
海外TECH	MakeUseOf	6 Great Ideas to Create an Effective Weekly Work Plan	https://www.makeuseof.com/great-ideas-to-create-weekly-work-plan/	weekly	2021-12-07 20:45:11
海外TECH	MakeUseOf	Is DaVinci Resolve 17 Really Free? What's the Catch?	https://www.makeuseof.com/is-davinci-resolve-free/	davinci	2021-12-07 20:30:11
海外TECH	MakeUseOf	How to Overcome Imposter Syndrome at Work	https://www.makeuseof.com/how-to-overcome-imposter-syndrome-work/	imposter	2021-12-07 20:15:12
海外TECH	DEV Community	What it takes to be a Senior Engineer	https://dev.to/dkassen/what-it-takes-to-be-a-senior-engineer-51fp	What it takes to be a Senior EngineerHello Friends I finally did it Happened about a month and a half ago I was promoted to a senior level engineering position Want to know the most frustrating part about it It didn t feel like I deserved it Yes imposter syndrome sticks with you I started my career as a software engineer five years ago after working a job as a developer at a small startup that just needed hands and thoughts which I kinda see as my boot camp experience I started my engineering career at a larger yet still small startup in San Francisco where I learned a lot but not enough to become a senior there I did primarily backend work with a spattering of frontend excursions I got close to senior at that company So close that my manager wasn t able to pinpoint anything specific to work on I was good enough though to land a job at a larger public company where I was given a position that was once called senior but was actually software engineer III The job didn t feel senior and I didn t feel senior I ve stayed at this company for over two years learned how things work started working in the frontend started planning projects started running certain meetings and it finally happened I got promoted That s the basic history Five years Expect that long Now for what actually got me to where I am You need expertise in the technology I have four years of experience as a backend engineer and one as a fullstack engineer I know databases APIs graphQL react and redux bash vim how to use my IDE effectively how to test things properly a bit about AWS networking algorithms and data structures design patterns architecture best practices the list goes on There s a lot you need to know some you ll encounter in your day to day some you need to seek out I read a lot of books Things will start to meld together and your thoughts and ideas will become more complex without you even noticing You need expertise in yourself My work ethic has fluctuated over the years but like the Dow Jones it inches up ever so slightly over time You need to learn how to use your time effectively You need to know your limits set boundaries and keep focused on one thing at a time as much as possible Time management is a skill you build up over time is that a pun not a good one if so and I still suck at it but I m getting better as more responsibility is piled on to my plate You need expertise in interpersonal communication If you ve read the habits of highly effective people if you haven t do it and read it slowly and absorb what he is saying you might recognize that the first two paragraphs of what you need are all about becoming independent Independent is good but the real magic comes from interdependence working with a team of independent people who leverage each other s strengths to create something much bigger and stronger than they are alone You need to learn how to communicate your problems what you know how you can help what you need help with Communication is something I can t effectively teach it s just something that comes with time and experience One thing I can advise is this listen twice as much as you speak Not just at your job but in every aspect of your life Listen to understand not to respond I probably didn t hit on every detail precisely because your journey will differ from mine Like I said this kind of came together over the course of years plus the boot camp time Invest in yourself Learn as much as you can Bring value to your team your customers and yourself You can do it so stick to it Thanks for reading	2021-12-07 20:45:05
海外TECH	DEV Community	JavaScript Keyboard events on ubuntu system	https://dev.to/gwendolinebinya/javascript-keyboard-events-on-ubuntu-system-5c6	JavaScript Keyboard events on ubuntu systemI am having problems firing JavaScript keyboard events on my laptop which has ubuntu the program works well with windows Any one who has encountered such a problem And how did you resolve it	2021-12-07 20:31:41
海外TECH	DEV Community	What is Authorization (with examples)	https://dev.to/propelauth/what-is-authorization-with-examples-33cp	What is Authorization with examples The word auth is complicated because there a wide range of topics that fall in the bucket of auth In this series we ll take a practical approach to understanding many of these topics with examples to learn from Previously we wrote about user authentication Now let s look at a related topic authorization What is Authorization Authorization is the process of determining if someone has access to something This is different from authentication which is about determining who someone is in the first place As an example imagine we are building a simplified Twitter Users can sign up post tweets and delete tweets When we receive a request to delete a tweet we need to do two things Determine who made the requestDetermine if they are allowed to delete the tweetStep is authentication we are determining who the user is Step is authorization we are determining if that user is allowed to delete the tweet In this case step could be as simple as only the user that made the tweet is allowed to delete it function canDeleteTweet request tweet Authentication const userId getUserThatMadeTheRequest request Authorization return userId tweet userId Step could also include other rules like maybe we hire a moderation team and allow them to delete tweets as well function canDeleteTweet request tweet Authentication const userId getUserThatMadeTheRequest request Authorization return userId tweet userId isUserAModerator userId Implementing AuthorizationThere are a lot of different approaches to implementing authorization One example that you might have come across before is role based access control RBAC Role based access control is a fancy way of saying assign each user to a role or group and each role has a defined set of actions they can take We actually already looked at an example of RBAC above In our simplified Twitter example we had two roles Moderators Users we implicitly defined this as everyone who isn t a moderator Users can create tweets and delete their own tweets Moderators can delete anyone s tweets You can extend this in a lot of ways For example maybe your roles are hierarchical Each role has its own set of permissions and also gets all the permissions from any role beneath it in the hierarchy RBAC is generally seen as a coarser form of authorization since each user must belong to a role and every user within that role gets the same permissions Another example approach is attribute based access control ABAC where you look at attributes e g what team the user is on is this production or staging etc to determine if a user can perform some action Authorization for BB BusinessesLet s look at another example building a BB SaaS business In this case let s say we re making an MVP of Slack In a BB business users will use your product along with their coworkers To accommodate that each user can be a member of an organization The first permission that we need is the ability to create an organization and every user should be allowed to do it Once an organization is created we have three hierarchical roles Owner Able to delete the organization manage billing and invite new ownersAdmin Able to create new channels manage organization settings and invite new admins membersMember Able to send messages in any channelImportantly these roles apply only within the context of an organization I can be an Owner of organization A and a Member of organization B Those roles dictate my permissions within the organization not globally Since these roles are hierarchical Admins have all the permissions that Members have and Owners have all the permissions that Admins have The Owner Admin and Member hierarchy is straightforward and works for a lot of BB businesses but it can be tricky to manage in practice If you d prefer to let someone else handle it PropelAuth provides this structure by default including UIs for inviting users UIs for managing roles and libraries for adding authorization to your backend	2021-12-07 20:05:08
海外TECH	DEV Community	Tips for writing performant code	https://dev.to/demetrejou/tips-for-writing-performant-code-2c4	Tips for writing performant code Why performant code is all about memoryIncreasing the performance of a given piece of code is not as simple as throwing more ram more GHz or more cores by cranking the cloud provider s knob to Decreasing the runtime of a serial program or improving the scaling per core of a parallel program requires not only a deeper understanding of the underlying hardware but also writing code with that hardware in mind While it is true that the number of transistors has doubled each year the per core frequency has been tapering off since CPUs single core performance has started to follow the same tampering off trend In contrast the number of logical cores per processor has doubled every few years In recent history AMD s Ryzen line has pushed cores threads from being the top of the line to cores threads now being top of the line While the number of transistors and logical cores continues to climb every year unfortunately the speed of memory accesses has not The gap between the speed the CPU can process numbers and the speed it can access memory from cache or main memory has grown every year For any modern machine the time spent pulling data from memory vastly overshadows that of actually doing useful computations This is why when trying to improve the run time performance of code it is not a technique to decrease the number of computations that materialize the largest improvement It instead requires changes to how data is used and accessed It is techniques to best utilizing the cache that specifically has the biggest effect An easy to understand generalization of modern memory is that there are levels The first being a small but very fast cache and the other a slow but larger main memory or DRAM When something is initially loaded from DRAM to be used by the CPU it is also placed into the cache evicting something else to take its place This simple model is nice but in reality there are multiple cache layers and multiple ways to pick what to evict Things like hardware prefetching and cache lines also come into play Those topics are all much outside the scope of this article but interesting to read about nonetheless This nice and simple model is what we re going to use For reference reading from cache is an order of magnitude faster than reading from main memory It takes single digit nano seconds ns to read from cache vs ns to read from main memory although this still depends entirely on specific hardware While a programmer can t directly choose what goes into cache and what gets evicted they can still get a very good idea Being always cognizant of what s likely to be in cache and avoiding these slow memory accesses is the key to achieving a sizable speed up This entire article will be written with C in mind but the main ideas are transferable to most anything else ForewordBefore trying to engineer code to run faster the underlying algorithm should always be looked at first There is almost no reason to try to optimize an O n algorithm when an O n one exists While there are cases especially when dealing with small amounts of data that n might be faster due to implementation details this article is targeting algorithms running on data much larger than that Nothing in this article will help make selection sort faster than merge sort for significantly large arrays Ways to increase cache hitsThe whole name of the game to improve serial performance is increasing cache hits Or otherwise the goal is to reduce how often something is loaded from main memory Either way the end goal is to reduce the amount of time cycles it takes to load something into the CPU The two major ways to do this is with the techniques of Temporal locality andSpatial locality Before moving on we should add a small but important twist to the simple memory model When something is loaded from slow memory into cache the level of granularity is not a single byte or word but an entire cache line These cache lines are in the range of or bytes When a single int is requested by the program and that int is in slow memory the entire cache line the int is in is also brought into cache Temporal localityReuse data that is already in cache This means that once a value is loaded in for the first time it should be used as much as possible It should be mentioned that it s never possible to avoid slow memory accesses since at some point something has to be loaded in for the first time even when considering cache lines For an example compare the following code snippets for person in persons person first name lower lots of unrelated memory loads herefor person in persons person last name lower vsfor person in persons person first name lower person last name lower While this is a quite simplified example the idea is visible For a large persons array each person will have to be loaded twice in the first example but only once in the second While a good compiler can see this and might fuse the loops together it can t always rely on compiler optimizations to reordering large blocks of code Spatial localityOperate on data that are stored close to each other in memory and potentially would have been brought into cache together Because data is brought into cache at the cache line level adjacent data is also brought in cache When iterating through a list it is much better to access linearly instead of random accesses because of this While most loops are linear by default one must not forget about the instructions of the code itself Those still need to be brought into cache and read in order to be executed While this effect is small having many function calls requires many jumps in instruction memory creating more slow memory accesses This is why some compilers will automatically inline functions saving this extra function call overhead and potential slow memory access Modern CPUs also do branch prediction which somewhat mitigates the performance hit of function calls or logical branching statements Again though one can t always rely on compiler optimizations when trying to squeeze out the little bit of performance that is possible Parallel Processing But why can t you just add more cores to the code to make it run faster Why bother spending time to make serial code faster Without fast serial code the parallel code won t be good All the same principles to making serial code fast apply to parallel code as well Without these good fundamentals already satisfied the parallel code will never be as fast as it could be There are extra things to keep in mind when dealing with parallel code Explaining how to decompose data decompose tasks schedule threads and everything else required to make incredibly fast parallel code would fill up an entire book Instead this article will mention just some basic things to keep in mind before trying to turn serial code into parallel Amdahl s LawAmdahl s law gives the formula for the theoretically speed up in run time of a task or program Not all parts of a program can be parallelized So even with infinite cores and perfect parallelized code there is still a minimum amount of run time because of the serial parts of the program This is why focusing on writing fast serial code is important to do as a first step Even if of the program can be parallelized with infinite cores the program can still only achieve a x speedup If of the program can be parallelized the program can achieve at best a x speedup Well written serial code can easily achieve a x speedup by itself and is easier to write easier to debug and easier to understand Starting with a slow serial implementation and trying to parallelize it will never give as good of results as writing very good serial code from the start and parallelizing that Embarrassing parallelThis is almost opposite to the idea of Amdahl s law Amdahl s law says that even in the best case one can only achieve a modest speedup multiplier Embarrassing parallel problems are ones in which little to no effort is required to effectively parallelize a problem Sometimes these problems are also called perfectly parallel or pleasingly parallel The opposite of these would be inherently serial problems that can t be meaningfully parallelized at all It s worth learning which types of problems are embarrassing parallel because they re the low hanging fruit when trying to decrease run time These problems are normally characterized by having no interdependencies between tasks The data can be easily split no thread to thread communication is required Things like password cracking D video rendering and numerical integration are all examples of this set of problems Parallelizing isn t freeFor a given problem where a large part of it can be parallelized and that part can be parallelized well there is still an added runtime cost of parallelizing it Only in outlier circumstances will no synchronization between threads be required In C C locking and unlocking mutexes still has a cost While there are fewer operating system calls when the mutex isn t contested by other threads there is still additional overhead There are other ways to synchronize threads semaphores signals and barriers These additional synchronization mechanics are often required to ensure program correctness and avoid race conditions They also add additional developer overhead which is an extra thing to consider There is no free lunch by parallelizing part of the algorithm False SharingWhen threads load the same cache line into their respective caches and the cache line values are only read and not modified there is no issue However when one thread writes to any part of that cache line the entire cache line is now marked as invalid and written back to main memory Whenever another thread tries to read that now invalid cache line it will have to re read it from slow memory even if it s trying to access a different part of the cache line This issue is called false sharing and causes almost an artificial increase in run time This problem can be commonly seen when an array is shared between threads If each thread writes to a different index of the array there will be no synchronization required but the data access times will be very bad because that entire cache line will have to be reloaded from slow memory every time This issue can be worked around by creating a new local variable for each thread instead of sharing the array or padding the array with dummy values so that each thread is reading values at least one cache line away from each other Measure scalingIn an ideal world the run time decreases linearly with the number of threads or cores added Real world use cases rarely reflect this ideal speed up When measuring the speedup achieved by adding additional cores there are two ways to measure it Strong ScalingThis is when the amount of data being worked on stays the same and the amount of cores increases Weak scalingThis is when the amount of data increases with the number of cores being added These scaling amounts are by no means guaranteed to be the same and it s worth investigating both of these scaling values when comparing a parallel version of a program to a serial version Things not mentionedWhile these topics are interesting and worth investigating in their own right they re simply too complex for this article Other kinds of compiler optimizations include Optimizing registers Different levels of gcc optimization e g O O O Loop unrolling Different multi processor models such as distributed systems and GPUs Calculating efficiency machine balance and machine peak Branch prediction on modern CPUs andHardware prefetching or why iterating through a loop doesn t normally have cache misses	2021-12-07 20:00:45
Apple	AppleInsider - Frontpage News	Coupon alert: Get 20% off top brands like Anker, Bose, Spigen, and more on eBay	https://appleinsider.com/articles/21/12/07/coupon-alert-get-20-off-top-brands-like-anker-bose-spigen-and-more-on-ebay?utm_medium=rss	Coupon alert Get off top brands like Anker Bose Spigen and more on eBayLast minute holiday shopping is made easy as eBay customers can get off when buying from select brands like Anker Spigen Jabra and others thanks to a limited time coupon code Get off select brands on eBayeBay is holding a sale called Save on Faves giving customers a discount from several major brands in the outlet Here s how to take advantage of the sale Read more	2021-12-07 20:36:45
Apple	AppleInsider - Frontpage News	New MacBook Air, Mac mini, iMac, and more: What to expect from Apple in early 2022	https://appleinsider.com/articles/21/12/07/new-macbook-air-mac-mini-imac-and-more-what-to-expect-from-apple-in-early-2022?utm_medium=rss	New MacBook Air Mac mini iMac and more What to expect from Apple in early With coming to a close all eyes turn to early for Apple s next product releases Here s what you can expect to see from Apple after the holidays Apple CEO Tim Cook during the second fall special event in Apple s product catalog has gone through another eventful year with new products being released despite the ongoing global pandemic Read more	2021-12-07 20:27:20
Apple	AppleInsider - Frontpage News	Iodyne Pro Data workgroup storage enclosure packs 8 Thunderbolt ports, speeds up to 5 GB/s	https://appleinsider.com/articles/21/12/07/iodyne-pro-data-storage-solution-packs-8-thunderbolt-ports-speeds-up-to-5-gbs?utm_medium=rss	Iodyne Pro Data workgroup storage enclosure packs Thunderbolt ports speeds up to GB sComputer accessory company Iodyne has launched its first flagship product an eight Thunderbolt port multi SSD workgroup storage enclosure aimed at professional workflows and teams The Iodyne Pro DataThe Iodyne Pro Data is a powerful Thunderbolt storage solutions that supports speeds up to GB s Users can also use the company s proprietary NVMe Multipathing design to boost performance with two Thunderbolt connections per host computer Read more	2021-12-07 20:01:20
Apple	AppleInsider - Frontpage News	Morgan Stanley hikes Apple stock target price to $200 on 'Apple Car' and AR	https://appleinsider.com/articles/21/12/07/morgan-stanley-hikes-apple-price-target-to-200-on-apple-car-and-ar?utm_medium=rss	Morgan Stanley hikes Apple stock target price to on x Apple Car x and ARInvestment bank Morgan Stanley has raised its Apple price target to driven by what is expected from the company relatively soon as well as short term drivers like the App Store and iPhone supply Credit Laurenz Heymann UnsplashIn a note to investors seen by AppleInsider lead analyst Katy Huberty said that the bank is cautious on IT hardware heading into but noted that Apple should benefit from a light to quality driven by new products being priced in as well as the iPhone and App Store Read more	2021-12-07 20:22:24
海外TECH	Engadget	Google temporarily disrupts a botnet that infected 1 million PCs	https://www.engadget.com/google-disrupts-glupteba-botnet-202342050.html?src=rss	Google temporarily disrupts a botnet that infected million PCsOn Tuesday Google disclosed it recently disrupted a massive network of computers infected by Glupteba The company estimates the malware has infected approximately one million Windows PCs globally which would make it one of the largest known botnets to date A botnet is a network of computers or internet connected devices all infected by malware that is under the control of a single party In this case Google traced Glupteba to at least two individuals based out of Russia The company is suing them in hopes it will “set a precedent create legal and liability risks for the botnet operators and help deter future activity At times the company says it saw the network grow by about devices per day The malware that adds a computer to the Glupteba botnet is usually found hidden on sketchy websites that offer free software According to Google Glupteba s operators used the malware to steal personal data mine cryptocurrencies and funnel other internet traffic through the infected machines Per The Washington Post the hackers also used some of Google s own services to distribute the malware The company suspended more than accounts that had been used to spread Glupteba “We don t just plug security holes we work to eliminate entire classes of threats for consumers and businesses whose work depends on the Internet the company said “We have teams of analysts and security experts who are dedicated to identifying and stopping issues like DDoS phishing campaigns zero day vulnerabilities and hacking against Google our products and our users Google coordinated with internet infrastructure providers to disrupt the botnet but warns it has so far only succeeded in stopping it temporarily Glupteba uses blockchain technology as a failsafe against a complete shutdown When it doesn t hear from its owners the software is programmed to automatically use data encoded on the Bitcoin blockchain for instructions on how to reconnect “Unfortunately Glupteba s use of blockchain technology as a resiliency mechanism is notable here and is becoming a more common practice among cyber crime organizations Google said “The decentralized nature of blockchain allows the botnet to recover more quickly from disruptions making them that much harder to shutdown The company says it s working with its partners to make the internet more resilient to such attacks	2021-12-07 20:23:42
海外TECH	Engadget	Apple snaps up a movie about Theranos founder Elizabeth Holmes	https://www.engadget.com/apple-theranos-elizabeth-holmes-movie-200124528.html?src=rss	Apple snaps up a movie about Theranos founder Elizabeth HolmesApple will fund and distribute a long in the works movie about embattled Theranos founder Elizabeth Holmes Bad Blood will star Jennifer Lawrence as Holmes while Adam McKay will write and direct Both are producers on the project which is a coproduction between Apple Studios and Legendary The movie which is based on the book Bad Blood Secrets and Lies in a Silicon Valley Start Up by former Wall Street Journal reporter John Carreyrou has been in development since at least as Deadline notes The film will depict the rise and fall of Holmes and her company Hype around the blood testing startup led to Holmes becoming the youngest self made billionaire Accusations and charges of fraud led to her stepping down as CEO in and the company liquidating later that year Holmes is currently on trial for fraud Bad Blood is far from the only film and TV project about Theranos and Holmes Hulu greenlit a miniseries in with Saturday Night Live star Kate McKinnon pencilled in to play Holmes She dropped out earlier this year and was replaced by Amanda Seyfried An HBO documentary about the Theranos saga premiered in Meanwhile Lawrence and McKay recently worked together on the Netflix film Don t Look Up which hits theaters this weekend and will be available to stream on December th It s a satire about two astronomers played by Lawrence and Leonardo DiCaprio who try to warn humanity about a catastrophic comet that s set to collide with Earth	2021-12-07 20:01:24
海外TECH	CodeProject Latest Articles	The DARL Language and its Online Fuzzy Logic Expert System Engine	https://www.codeproject.com/Articles/1239707/The-DARL-Language-and-its-Online-Fuzzy-Logic-Exper	The DARL Language and its Online Fuzzy Logic Expert System EngineA free service makes it possible to use a fuzzy logic expert system online We ll go through an example of coding in NET core to access this and look at some of the features of the engine and the DARL language	2021-12-07 20:55:00
ニュース	BBC News - Home	Downing Street party: No 10 staff joked about party amid lockdown restrictions	https://www.bbc.co.uk/news/uk-politics-59572149?at_medium=RSS&at_campaign=KARANGA	downing	2021-12-07 20:47:58
ニュース	BBC News - Home	Omicron: First cases of Covid-19 variant identified in NI	https://www.bbc.co.uk/news/uk-northern-ireland-59571534?at_medium=RSS&at_campaign=KARANGA	britain	2021-12-07 20:17:14
ニュース	BBC News - Home	Afghanistan: Top UK official regrets holiday as country fell to Taliban	https://www.bbc.co.uk/news/uk-59571117?at_medium=RSS&at_campaign=KARANGA	holiday	2021-12-07 20:10:13
ニュース	BBC News - Home	Amazon services down for thousands of users	https://www.bbc.co.uk/news/business-59568858?at_medium=RSS&at_campaign=KARANGA	alexa	2021-12-07 20:55:36
ニュース	BBC News - Home	Man City finish group stage with RB Leipzig defeat as Walker sent off	https://www.bbc.co.uk/sport/football/59553872?at_medium=RSS&at_campaign=KARANGA	Man City finish group stage with RB Leipzig defeat as Walker sent offKyle Walker is sent off as Manchester City end their Champions League group campaign with defeat by RB Leipzig in a match played without fans because of Covid restrictions	2021-12-07 20:33:50
ビジネス	ダイヤモンド・オンライン - 新着記事	みずほに広がる「悔恨の念」、なぜシステム部門の人員削減を拒めなかったのか - みずほ 退場宣告	https://diamond.jp/articles/-/289237	人員削減	2021-12-08 05:25:00
ビジネス	ダイヤモンド・オンライン - 新着記事	塩野義製薬が製薬主要9社で唯一「6四半期連続の減収」、原因の“依存体質”とは - ダイヤモンド 決算報	https://diamond.jp/articles/-/289846		2021-12-08 05:20:00
ビジネス	ダイヤモンド・オンライン - 新着記事	石油元売りに迫る「2つの落とし穴」、OPEC増産方針の維持決定で - Diamond Premium News	https://diamond.jp/articles/-/289845	落とし穴	2021-12-08 05:15:00
ビジネス	ダイヤモンド・オンライン - 新着記事	大林組ゼネコン首位陥落決算の真相、「支店長も減給」で社内に溜まる不満のマグマ - ゼネコン 地縁・血縁・腐れ縁	https://diamond.jp/articles/-/288618	首位陥落	2021-12-08 05:10:00
ビジネス	ダイヤモンド・オンライン - 新着記事	足利尊氏と直義、2人の「共同経営」がもたらした成功と悲劇的結末の教訓 - 新説・新発見！今こそ学ぶ「歴史・地理」	https://diamond.jp/articles/-/289395	足利尊氏と直義、人の「共同経営」がもたらした成功と悲劇的結末の教訓新説・新発見今こそ学ぶ「歴史・地理」一人の突出したリーダーが組織を成功に導くーというケースは現実的には少ない。	2021-12-08 05:05:00
北海道	北海道新聞	米、強力な経済措置を警告　ロシアの軍事行動激化なら	https://www.hokkaido-np.co.jp/article/620293/	米大統領	2021-12-08 05:16:00
北海道	北海道新聞	サウジ記者殺害の容疑者拘束　パリ近郊の空港で	https://www.hokkaido-np.co.jp/article/620284/	近郊	2021-12-08 05:16:49
北海道	北海道新聞	デンマークで感染３９８件　変異株「社会全体に拡大」	https://www.hokkaido-np.co.jp/article/620292/	社会	2021-12-08 05:16:00
北海道	北海道新聞	ＥＵ、異なるワクチン接種認める　規制当局が勧告	https://www.hokkaido-np.co.jp/article/620294/	欧州連合	2021-12-08 05:16:00
ビジネス	東洋経済オンライン	サイゼリヤ社長が｢深夜営業廃止｣を決断した裏側 コロナが｢何を守り､変えるか｣の判断を促した | 外食 | 東洋経済オンライン	https://toyokeizai.net/articles/-/474107?utm_source=rss&utm_medium=http&utm_campaign=link_back	東洋経済オンライン	2021-12-08 05:30:00
海外TECH	reddit	Team Vikings vs Team Secret / VALORANT Champions 2021 - Group Stage: Decider (C) / Post-Match Discussion	https://www.reddit.com/r/ValorantCompetitive/comments/rb8b8p/team_vikings_vs_team_secret_valorant_champions/	Team Vikings vs Team Secret VALORANT Champions Group Stage Decider C Post Match DiscussionTeam Vikings Team Secret TS ban Bind VKS ban Split TS pick Haven VKS pick Icebox TS ban Breeze VKS ban Fracture Ascent remains Haven Icebox Ascent Team Vikings is eliminated from the tournament Team Secret has advanced to playoffs Team Vikings Liquipedia VLR Twitter Instagram YouTube Twitch Team Secret Liquipedia VLR Official Site Twitter Instagram Facebook YouTube Twitch VALORANT Champions Tour Information Schedule amp Discussion For spoiler free VALORANT VoDs check out Juked Join the subreddit Discord server for watch parties discussion and more Map Haven Team ATK DEF Total Team Vikings nbsp DEF ATK nbsp Team Secret nbsp Team Vikings ACS K D A saadhak Killjoy sutecas Astra Sacy Breach frz Skye gtnJESUS Jett Team Secret ACS K D A DubsteP Jett dispenser Killjoy JessieVash Sova Witz Breach BORKUM Astra Map Icebox Team ATK DEF Total Team Vikings nbsp DEF ATK nbsp Team Secret nbsp Team Vikings ACS K D A frz Reyna Sacy Sova gtnJESUS Jett sutecas Viper saadhak Sage Team Secret ACS K D A BORKUM Viper dispenser Sage DubsteP Jett Witz Reyna JessieVash Sova submitted by u Razur to r ValorantCompetitive link comments	2021-12-07 20:12:33