投稿時間:2022-01-31 22:31:54 RSSフィード2022-01-31 22:00 分まとめ(39件)

カテゴリー等	サイト名等	記事タイトル・トレンドワード等	リンクURL	頻出ワード・要約等/検索ボリューム	登録日
TECH	Engadget Japanese	PS5の純正着せ替えカバー『コズミックレッド』『ミッドナイトブラック』発売。実物はこんな感じ	https://japanese.engadget.com/playstation-5-cover-red-black-122806417.html	playstation	2022-01-31 12:28:06
IT	ITmedia 総合記事一覧	[ITmedia News] トンガ火山噴火の衛星画像、さくらインターネットが公開	https://www.itmedia.co.jp/news/articles/2201/31/news200.html	ellus	2022-01-31 21:52:00
IT	ITmedia 総合記事一覧	[ITmedia News] PCとWebカメラだけでVTuberになれる無料システム　AIを使った骨格推定で身体や指の動きをリアルタイム反映	https://www.itmedia.co.jp/news/articles/2201/31/news199.html	itmedianewspc	2022-01-31 21:30:00
python	Pythonタグが付けられた新着投稿 - Qiita	Streamlit PythonをIBM Cloudへデプロイするよ	https://qiita.com/saboten10/items/b55a384445d65128722e	開発したアプリケーションをデプロイする方法としてはいろいろあるのですが、昨年年に、CodeEngineというサーバーレスランタイム環境が正式公開されたのでこちらを試してみます。	2022-01-31 21:35:45
python	Pythonタグが付けられた新着投稿 - Qiita	2011年3月11日に起きた地震情報を可視化してみた	https://qiita.com/zumi0/items/7e5ad8debbbc4dfd7838	今回は東日本大震災が発生した年月日の地震情報をfoliumを使って可視化してみたいと思います。	2022-01-31 21:28:49
js	JavaScriptタグが付けられた新着投稿 - Qiita	N予備プログラミング　〜冬コンテスト作品制作過程を晒してみる⑥〜	https://qiita.com/n_oga/items/2d9fc544c9060156e930	とても悔しくて、全く諦めがついてませんが、記事を読んで参考にして頂いた方々に現時点で区切りのご報告です。	2022-01-31 21:32:33
Linux	Ubuntuタグが付けられた新着投稿 - Qiita	AWS Wavelength上にNTPサーバー（chrony）を立てる	https://qiita.com/soichirowada/items/f91af1fc69f9118bd6d1	また、最後の行にWavelength上のサーバーで稼働しているchronyから参照できるように、下記のような設定を行追加します。	2022-01-31 21:30:01
AWS	AWSタグが付けられた新着投稿 - Qiita	LINEでつくる 音声翻訳機(ほんやくコンニャク)	https://qiita.com/ted-17/items/e0817eb6d870c1fe7161	構成と流れLINEから音声データを取得しSへ保存mpSからの音声データを取得してtranscribeで書き起こしSへ保存jsonSからの書き起こしデータを取得してtranslateでテキスト翻訳上記のの翻訳データをPollyで音声合成しSへ保存mpS内ののmpデータについて認証付きURLを発行ffmpegを用いてmpをmaフォーマットに変換しSへ保存maS内ののmaにを適用しLINEで送信ざっとコード解説各手順を関数化したコードを晒していきます。	2022-01-31 21:41:12
AWS	AWSタグが付けられた新着投稿 - Qiita	AWS Wavelength上にNTPサーバー（chrony）を立てる	https://qiita.com/soichirowada/items/f91af1fc69f9118bd6d1	また、最後の行にWavelength上のサーバーで稼働しているchronyから参照できるように、下記のような設定を行追加します。	2022-01-31 21:30:01
AWS	AWSタグが付けられた新着投稿 - Qiita	ローカル環境 KMS で暗号鍵を固定化する (LocalStack)	https://qiita.com/rkunihiro/items/ab1d6d43197c43c8390a	ローカル環境KMSで暗号鍵を固定化するLocalStackAWSKeyManagementServiceKMSは暗号鍵の生成・管理と、アプリケーションデータの暗号化・復号を提供してくれるサービスです。	2022-01-31 21:21:26
Docker	dockerタグが付けられた新着投稿 - Qiita	ローカル環境 KMS で暗号鍵を固定化する (LocalStack)	https://qiita.com/rkunihiro/items/ab1d6d43197c43c8390a	ローカル環境KMSで暗号鍵を固定化するLocalStackAWSKeyManagementServiceKMSは暗号鍵の生成・管理と、アプリケーションデータの暗号化・復号を提供してくれるサービスです。	2022-01-31 21:21:26
技術ブログ	Mercari Engineering Blog	フルリモート環境で入社をしたメルペイQAのリアル #merpay_qatalk	https://engineering.mercari.com/blog/entry/20220129-0c05bd3742/	hellip	2022-01-31 13:00:40
技術ブログ	Developers.IO	.NET 6 要点まとめ	https://dev.classmethod.jp/articles/dotnet_6_short_summary/	要点	2022-01-31 12:25:50
技術ブログ	Developers.IO	CDKを使用してVPCを作成する	https://dev.classmethod.jp/articles/create-vpc-with-cdk-python/	isolated	2022-01-31 12:07:06
技術ブログ	Developers.IO	【小ネタ】server_audit_logs_upload パラメータの設定を試してみた	https://dev.classmethod.jp/articles/try-server-audit-logs-upload-param-setting/	cloudwatchlogs	2022-01-31 12:04:14
海外TECH	Ars Technica	Review: MNT Reform laptop has fully open hardware and software—for better or worse	https://arstechnica.com/?p=1827662	experiment	2022-01-31 12:30:52
海外TECH	MakeUseOf	How to Use Google Play's Offers Tab for Deals and Discounts	https://www.makeuseof.com/google-play-offers-deals-and-discounts/	books	2022-01-31 12:15:12
海外TECH	MakeUseOf	How to Record ProRes Video on iPhone 13 Pro	https://www.makeuseof.com/how-to-record-prores-video-on-iphone-13-pro/	prores	2022-01-31 12:00:35
海外TECH	DEV Community	Machine Learning Lifecycle Process	https://dev.to/cloudtech/machine-learning-lifecycle-process-547p	Machine Learning Lifecycle ProcessBuilding and operating a typical ML workload is an iterative process and consists of multiple phases We identify these phases loosely based on the open standard process model for Cross Industry Standard Process Data Mining CRISP DM as a general guideline CRISP DM is used as a baseline because it s a proven tool in the industry and is application neutral which makes it an easy to apply methodology that is applicable to a wide variety of ML pipelines and workloads The end to end ML process includes the following phases Business goal identification ML problem framingData collectionData integration and preparationFeature engineeringModel trainingModel validationBusiness evaluationProduction deployment model deployment and model inference This article presents a high level overview of the various phases of an end to end ML lifecycle which helps frame our discussion around security compliance and operationalization of ML best practices which will be useful in our later blog posts The machine learning lifecycle processThe preceding figure describes the ML lifecycle process along with the subject matter experts and business stakeholders involved through different stages of the process It is also important to note that ML lifecycle is an interactive process The machine learning lifecycle process Phase Phase is to define business problem and goals Domain experts and business owners are most involved in this part determining success metrics KPIs and determining compliance and regulatory requirements also fall under this phase Data scientists typically work with the SMEs to frame the business problem in a way that allows them to develop a viable ML solution Phase Phase involves gathering and preparing all relevant data from various data sources This role is often performed by data engineers with expertise in big data tools for data extraction transformation and loading ETL It is important to ensure that the data is versioned and the lineage of the data tracked for auditing and compliance purpose Once the raw datasets are available data scientists perform data exploration determine input features and target variables outlier analysis and necessary data transformations that may be needed It is also important to ensure any transformations applied to training data can also be applied in production at inference time Phase Next is the model development and model evaluation phase Data scientists determine the framework they want to use define out of sample out of time datasets and experiment with various ML algorithms hyperparameters in some cases add additional training data Phase Next you take the trained models and run them on out of time and out of sample datasets and pick the model or models that return the best results close to the metrics determined in Phase Model artifacts and any corresponding code must be properly versioned and stored in a centralized code repository or in an artifact management system Note that this stage of the process is experimental and data scientists may go back to the data collection or feature engineering stage if the model performance is consistently poor More details on data and ML artifact lineage are available in the Traceability section of this document Data scientists are also required to provide reasons or explain feature model influence on predictions Model interpretability is discussed in later sections Phase The next phase is to deploy the models into production This is often the most impactful and difficult step because of the gap between technologies and skillsets used to build and deploy models in production A large part of making this successful requires intense collaboration among infrastructure professionals such as DevOps engineers data scientists data engineers domain experts end users and business owners during the decision making process There should be standardized metrics and all decision makers should be able to interpret them directly In most organizations lifecycles of ML models end with the deployment phase There is a need for some form of shadow validation where models are deployed but not integrated in the production workflow to capture differences between training and live data This ensures that the model continues to perform as expected when receiving data from production systems Once this validation proves successful the model s predictions can be used in production workflows However for ML models to be effective in the long run continuously monitoring the model in real time if possible to determine how well it is performing is necessary as the accuracy of models can degrade over time If the performance of a model degrades below a certain threshold you may need to retrain and redeploy your model Hope this guide gives you an high level overview of Different phrases of Machine Learning Lifecycle Let me know your thoughts in the comment section And if you haven t yet make sure to follow me on below handles connect with me on LinkedInconnect with me on Twitter‍follow me on github️Do Checkout my blogs Like share and follow me for more content ltag user id follow action button background color important color fac important border color important Adit ModiFollow Cloud Engineer AWS Community Builder x AWS Certified x Azure Certified Author of Cloud Tech DailyDevOps amp BigDataJournal DEV moderator ‍Join our Cloud Tech Slack CommunityFollow us on Linkedin Twitter for latest news Take a Look at our Github Repos to know more about our projects ️Our WebsiteReference Guide	2022-01-31 12:07:52
海外TECH	DEV Community	How I built my portfolio website	https://dev.to/itsrakesh/how-i-built-my-portfolio-website-hl5	How I built my portfolio websitePortfolio is a longer version of Resume but some people make it like a website to show their creativity and skills Recently I made and deployed my portfolio website under my own domain I got so much appreciation and amazing feedback for this So in this blog I am sharing how I made it things I learned throughout building it challenges I ran into and I will explain how all the things are connected I also give you some great resources to create a profile Now there are lots of tools out there to generate a portfolio website for you But I decided to build myself to practice my skills and to make it more customizable Let s get started Before we startCode is available on Github Star it Fork it Use it If you are a beginner to web development don t get demotivated by seeing the code Tools technologies frameworks librariesCommon tools are listed here Language JavaScriptFrontend ReactJs Bootstrap SassBackend RESTApi NodeJs ExpressJsHosting Netlify HerokuThird party APIs DevA bunch of npm packages File Structure FrontendIf you like this structure I created a template You can use it to quickly set up your project Portfolio ├ーpublic└ーsrc ├ーassets │├ーdocuments │└ーimages ├ーcommon │└ーcomponents │├ーFooter │├ーNavigation │├ーUIElements ││└ーloadingAnimations │├ーhooks │└ーutil ├ーfeatures │└ーProfileRedirect └ーpages ├ー ├ーAbout │└ーcomponents ├ーBlogs │└ーcomponents ├ーContact │└ーcomponents ├ーHome │└ーcomponents ├ーProfiles └ーWork ├ーcomponents └ーprojects BackendThis website doesn t have a big backend because there is not much business logic involved in this Server └ーsrc ├ーcontrollers ├ーdata ├ーroutes ├ーservices └ーutil I am breaking this blog to separate parts where each part is a page of the website The website contains pages HomeWorkBlogsAbout MeContactProfilesAll pages have the same navbar and footer Part Home Page The home page is a quick overview of the whole website It contains a quick intro about me a few social links an email and a resume button And different sections recent projects why hire me and CTA That d NFT on the hero section is generated from this website called readyplayer me Part Work Page The work page is an overview of what I do Currently it has only a projects section but I m thinking to add more Projects page Projects page contains cards Each card contains the project photo title tech stack link to the details page and link to live preview Project Details pageProject details page is actually a markdown file and rendered as HTML For this I use an npm package called markdown to jsx Markdown file is Github README md of respective project s repo This is a simple trick const readme setReadme useState getting the README URL const response await axios get repoName master main README md setReadme response data render markdown lt div className project item gt lt Markdown children readme gt lt div gt Part Blogs page Blogs page is my favourite page I took small inspiration from the amazon prime video TV app Why that preview I cross post my articles on three platforms Dev Hashnode and medium because everyone read articles on their favourite platform So this idea of showing preview is to include those three links and show a small part of the blog How does this work I used Dev API to pull the blogs from dev Each blog contains data that includes cover image title description reactions views read time publication date etc With this data I made a card That data also contains the blog URL and the canonical link So the Read Blog URL is the canonical URL the dev URL is the blog URL and still can t figure out the medium URL ️because medium adds id at the end of URL Current all blogs redirect to my medium profile page To conclude everything on this page is automated and I don t need to upload any data to the database Part About Me Page About Me page is a brief overview of everything about me It contains some quick links a Github contributions graph blogs analytics tools I use languages frameworks I know my skills Need to remove that percentage bar and my achievements For the Github contributions graph I used an npm package called github calendar graph Part Contact Form Page Contact page contains a simple form for people to leave a quick message to me How does this form works I used nodemailer to send emails with NodeJs and sendgrid as a mail service So whenever a user clicks Send Message I send mail to myself that contains the user message Please don t spam I have a monthly limit as part of the free plan Part Profiles Page Profiles page contains links to some main profiles And here s a cool thing You can find any online profile of me with the URL websitename gt it will redirect you to my profile For example will redirect you to my Twitter profile AnimationsThis website doesn t have too many animations just a few like those buttons on the home page counting animations etc Most of these animations are inspired by the codepen community LoadersThis website has many loading animations because they are great for the user experience There are different types of loaders like a single spinner placeholders and some creative loaders I used spinner for page load and bootstrap s placeholder for placeholder animations like the above picture Page load animation There is a feature in React called Code Splitting which means the browser loads only files that are required While the browser loads the files you can use that waiting time to show some animation instead of a blank page Here s how to do it import lazy from react const Home lazy gt import pages Home Home lt React Suspense fallback lt LoadingSpinner gt gt lt Routes gt lt Route path element lt Home gt gt lt Routes gt lt React Suspense gt AnalyticsThere is a visits count in the footer section of the website I used CountAPI to count the number of times this website has been visited I also used Google Analytics even though not needed I used it to learn GA Search consolesFinally I submitted my website to Google search console and Bing webmaster tools to get indexed on search engines even though not needed But these tools helps to find issues with your website Challenges I ran intoApart from those common errors every developer experiences I struggled to find a good design colour combinations layout etc I spent wasted a whole day figuring out a simple issue with the blogs page to avoid duplicates Most of the challenges I faced are only with the frontend because there is not much to do with the backend it s just a simple RESTApi Things I learnedThis is my first portfolio website so I learned so much throughout building it Not only technical things but also how to be consistent how to design from a user point of view how to mix different colours etc Throughout the building I made a lot of googling so I learned how to solve an issue by just googling what are the right places to find solutions how not to waste time etc I also used StackOverflow very effectively that I don t even get a chance to ask a question Asking question on StackOverflow is still my dream How you can have a portfolio website if you are not into web dev Now if you want a portfolio and you are not a web developer or you are not a frontend person then you can just use some online no code tools like wix WordPress etc And if want a simple page there are some great websitesHere are a few alternatives I know Github profile You can create a great looking profile with Github For example here s mine Github Peerlist Peerlist is great for anyone It gives you a really nice profile page where you can include all about you your work your blogs projects etc DM me on Twitter for invite code if you want to skip the waitlist Showwcase Showwcase is a community for developers And it has a cool feature that gives you a page and a free custom domain What s this Basically you include all your skills projects experience tech stack social links profile photo and profile banner in your showwcase profile and showwcase makes a page with all these details and gives you a free domain So you can just share that link to show your profile Cool right Here s mine itsrakesh showwcase comThat s it That s how I made it I hope you find this useful If so follow me for more useful blogs like this every week FeedbackPlease give me feedback on how I can improve my website or the things you like in it This helps me a lot To give detailed feedback there is a google form link in the footer or if it s simple feedback leave a comment below Thank you	2022-01-31 12:05:39
Apple	AppleInsider - Frontpage News	Apple Watch credited for saving man's life after fall in freezing temperatures	https://appleinsider.com/articles/22/01/31/apple-watch-credited-for-saving-mans-life-after-fall-in-freezing-temperatures?utm_medium=rss	Apple Watch credited for saving man x s life after fall in freezing temperaturesIn the middle of the US east coast cold snap emergency services saved an unconscious man in Morrow Georgia after his Apple Watch detected a fall and alerted local authorities Apple s latest ads for the Apple Watch Series have concentrated on how the device can automatically call for help in emergencies Now yet another example of this feature saving a life has been reported in the City of Morrow Clayton County Georgia According to local CB News Atlanta an elderly resident fell while outside his property on January His Watch detected the fall and when he failed to respond that he was okay alerted the Clayton County Emergency Communications Center Read more	2022-01-31 12:52:56
海外TECH	Engadget	The Morning After: Spotify tries to address is misinformation problem	https://www.engadget.com/the-morning-after-spotify-tries-to-address-is-misinformation-problem-121524493.html?src=rss	The Morning After Spotify tries to address is misinformation problemThe tech news cycle has been dominated this weekend by Spotify as it continues to deal with the fallout from its decision to back Joe Rogan Last week Neil Young offered the streaming service an ultimatum saying it either cracked down on COVID misinformation pumped out by Rogan s podcast and others or he d quit Spotify decided to back Rogan which prompted Joni Mitchell to withdraw her music from the platform in solidarity Both Mitchell and Young were childhood survivors of polio and both know the real danger of vaccine misinformation Subsequently a number of high profile figures have registered their unease including the Duke and Duchess of Sussex and BrenéBrown Yesterday Brown said that she would pause releasing new episodes of her two Spotify exclusive podcasts “until further notice And Spotify s own COVID guidelines were subsequently leaked which revealed the very wide latitude the company offers to podcasts on its service Spotify s also apparently cool with climate denial as evidenced by a very recent episode of The Joe Rogan Experience To try to address the issue Spotify has announced that it will add a content advisory to any podcast episodes discussing COVID Rogan himself has released a video statement saying that he felt justified in inviting COVID deniers onto his show but was sorry for the trouble he had caused Spotify He also promised to “balance things out by booking guests with different opinions in future Dan CooperThe biggest news stories you might have missedTreasury reconsiders IRS use of ID me facial recognition amid privacy concerns Halo TV series heads to Paramount on March thApple s App Store now permits unlisted appsT Mobile will fire unvaccinated corporate employees starting April ndWorkers with half a dose will be put on unpaid leave T Mobile has confirmed reports that its corporate employees will face termination if they are not vaccinated for COVID The carrier following in the footsteps of tech giants like Google is mandating that workers get protected against the pandemic or face termination Employees who have had their first jab meanwhile will be placed on unpaid leave until they get their second dose As always a number of exemptions and caveats apply but it looks like many companies are done tiptoeing around the issue Continue Reading Teen wants to stop tracking Elon Musk s private jetThere s a word for this I m sure Jack Sweeney s Twitter bots use public data to track the whereabouts of public figures private jets His most famous is ElonJet which quelle surprise tracks the takeoff and landing patterns of Elon Musk s personal plane and has more than followers Musk naturally wasn t thrilled at its existence and offered Sweeney to take the bot down Sweeney however was looking for something closer to to help him get through college But you don t become a billionaire by handing out cash to people and so Musk reportedly broke off comms with the year old Continue Reading NASA s JPL appoints its first female directorDr Laurie Leshin already laid the groundwork for the Artemis program Worcester Polytechnic InstituteDr Laurie Leshin has accepted the role as head of NASA s Jet Propulsion Laboratory making her the first woman to lead the famous lab Leshin s background includes a tour of duty at the Goddard Space Flight Center and a stint as deputy associate administrator at NASA s Exploration Systems Mission Directorate Her work helped lay the groundwork for the Artemis and commercial spaceflight programs and she helped craft the Mars sample return missions Continue Reading New US stock exchange will use the blockchain to track trading activityThe supposed benefit Faster trade settlements The Securities and Exchange Commission has given a thumbs up to the Boston Security Token Exchange BSTX a blockchain based stock exchange When it launches later next year you won t immediately be able to trade crypto stocks with the BSTX but its backers are hoping to broaden its toolset in future BSTX says that the benefit of blockchain is to speed up trade settlements between parties a process that can currently take up to two days at a time Continue Reading	2022-01-31 12:15:24
海外TECH	WIRED	Multiplayer Families Deserve Better Gaming Plans	https://www.wired.com/story/we-need-family-gaming-plans-rant	doesn	2022-01-31 13:00:00
海外TECH	WIRED	Maybe Green Energy Needs ‘Information Batteries' Too	https://www.wired.com/story/maybe-green-energy-needs-information-batteries-too	Maybe Green Energy Needs Information Batteries x TooResearchers are exploring whether tech giants can precompute certain data when the grid is humming with solar or wind power then stash it away for later use	2022-01-31 13:00:00
金融	金融庁ホームページ	偽造キャッシュカード等による被害発生等の状況について公表しました。	https://www.fsa.go.jp/news/r3/ginkou/20220131.html	被害	2022-01-31 13:00:00
海外ニュース	Japan Times latest articles	Crew member of missing ASDF F-15 reportedly spotted in sea	https://www.japantimes.co.jp/news/2022/01/31/national/ishikawa-f15-missing/	Crew member of missing ASDF F reportedly spotted in seaThe aircraft disappeared off radar around p m probably at a point at sea about kilometers west northwest of an ASDF base in Komatsu Ishikawa	2022-01-31 21:02:45
ニュース	BBC News - Home	Sue Gray's initial No 10 party findings handed to Boris Johnson	https://www.bbc.co.uk/news/uk-politics-60195620?at_medium=RSS&at_campaign=KARANGA	downing	2022-01-31 12:40:20
ニュース	BBC News - Home	Thousands of homes without power after weekend storms	https://www.bbc.co.uk/news/uk-60188454?at_medium=RSS&at_campaign=KARANGA	england	2022-01-31 12:43:35
ニュース	BBC News - Home	Ayia Napa: Woman wins appeal against gang rape lie conviction	https://www.bbc.co.uk/news/uk-england-derbyshire-60172176?at_medium=RSS&at_campaign=KARANGA	court	2022-01-31 12:12:49
ニュース	BBC News - Home	Brazil legend Carlos to play for Shropshire pub team after eBay raffle	https://www.bbc.co.uk/sport/football/60197741?at_medium=RSS&at_campaign=KARANGA	legend	2022-01-31 12:42:42
ビジネス	ダイヤモンド・オンライン - 新着記事	NSユナイテッド海運(9110)、「増配」を発表して、 配当利回り9.4％に！ 年間配当は1年で3.3倍に急増、 2022年3月期は前期比205円増の｢1株あたり285円｣ - 配当【増配・減配】最新ニュース！	https://diamond.jp/articles/-/294954		2022-01-31 21:15:00
サブカルネタ	ラーブロ	中華そば専門 田中そば店 足立本店（六町）／中華そば（こってり）＋味付玉子	http://ra-blog.net/modules/rssc/single_feed.php?fid=196085	中華そば	2022-01-31 12:32:04
サブカルネタ	ラーブロ	スパゲッティナポリちゃん！憩酒家たっちゃん(2022/01/31)	http://ra-blog.net/modules/rssc/single_feed.php?fid=196086	中国共産党	2022-01-31 12:30:15
北海道	北海道新聞	さよなら４プラ　半世紀の歴史に幕　最後の営業終える	https://www.hokkaido-np.co.jp/article/640030/	商業ビル	2022-01-31 21:11:13
北海道	北海道新聞	室蘭―八戸間航路が休止　室蘭発着フェリー、ゼロに	https://www.hokkaido-np.co.jp/article/640041/	川崎近海汽船	2022-01-31 21:02:00
ビジネス	東洋経済オンライン	中国の｢粗鋼生産量｣が6年ぶり減少の背景事情 ｢カーボンニュートラル｣目指す政府が減産圧力 | 「財新」中国Biz＆Tech | 東洋経済オンライン	https://toyokeizai.net/articles/-/506626?utm_source=rss&utm_medium=http&utm_campaign=link_back	biztech	2022-01-31 21:30:00
仮想通貨	BITPRESS（ビットプレス）	EY Japan、2/28に「FT市場を社会に定着させるには ～NFTの現状と市場定着に向けた課題とは～」開催	https://bitpress.jp/count2/3_15_13032	eyjapan	2022-01-31 21:33:18
仮想通貨	BITPRESS（ビットプレス）	フォビジャパン、2/1より取引所でのBTC/JPYの取引手数料を無料化	https://bitpress.jp/count2/3_10_13031	btcjpy	2022-01-31 21:22:06
海外TECH	reddit	「寒いからってピューマを家に入れないで」と行政当局が警告したところピューマをペットにしたいネット民が猛反発	https://www.reddit.com/r/newsokunomoral/comments/sgzpqz/寒いからってピューマを家に入れないでと行政当局が警告したところピューマをペットにしたいネット民が猛反/	ewsokunomorallinkcomments	2022-01-31 12:04:09