投稿時間:2022-06-17 19:39:06 RSSフィード2022-06-17 19:00 分まとめ(48件)

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IT	気になる、記になる…	Anker、最大100Wの高出力ソーラーパネル｢Anker 625 Solar Panel (100W)｣を発売	https://taisy0.com/2022/06/17/158193.html	anker	2022-06-17 09:23:38
IT	気になる、記になる…	Amazon、Kindleストアで｢Kindle本 小説・ライトノベルセール｣を開催中 − 1,000冊以上が最大半額に	https://taisy0.com/2022/06/17/158191.html	amazon	2022-06-17 09:16:03
ROBOT	ロボスタ	Sotaを活用した「ロボットプログラミング体験会」北海道白糠町在住の小学生を対象にNTT東日本が実施	https://robotstart.info/2022/06/17/sota-robot-programming.html	Sotaを活用した「ロボットプログラミング体験会」北海道白糠町在住の小学生を対象にNTT東日本が実施シェアツイートはてブ白糠町、白糠町教育委員会、東日本電信電話株式会社北海道事業部以下、NTT東日本は、白糠町在住の小学生を対象とした「ロボットプログラミング体験会」を開催することを発表した。	2022-06-17 09:34:26
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 夏休みの予定、3位は旅行、2位は帰省、圧倒的な1位は？	https://www.itmedia.co.jp/business/articles/2206/17/news194.html	itmedia	2022-06-17 18:40:00
IT	ITmedia 総合記事一覧	[ITmedia News] 「さくらのクラウド」かたるフィッシングに注意　料金支払いに問題があるとかたり不正サイトに誘導	https://www.itmedia.co.jp/news/articles/2206/17/news197.html	itmedia	2022-06-17 18:24:00
IT	ITmedia 総合記事一覧	[ITmedia News] 今はさらばと言わせないでくれ　インターネット・エクスプローラー、IEの戦士たち	https://www.itmedia.co.jp/news/articles/2206/17/news157.html	itmedia	2022-06-17 18:16:00
IT	ITmedia 総合記事一覧	[ITmedia PC USER] ハイブリッドワークを支えるソリューションが一堂に会した「第2回 デジタル化・DX 推進展」で見つけたもの	https://www.itmedia.co.jp/pcuser/articles/2206/17/news177.html	itmediapcuser	2022-06-17 18:15:00
IT	ITmedia 総合記事一覧	[ITmedia Mobile] AndroidにGoogleマップ「付近の交通状況」ウィジェット登場（ズームもできる）	https://www.itmedia.co.jp/mobile/articles/2206/17/news193.html	android	2022-06-17 18:14:00
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 北海道ルスツに3棟限定のリゾートグランピング施設　特徴は？	https://www.itmedia.co.jp/business/articles/2206/17/news185.html	itmedia	2022-06-17 18:05:00
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 「将来、役職者になりたい」20代の2割　どこまで出世したい？	https://www.itmedia.co.jp/business/articles/2206/17/news178.html	itmedia	2022-06-17 18:05:00
AWS	AWS - Webinar Channel	What’s new with Amazon DocumentDB (with MongoDB compatibility)	https://www.youtube.com/watch?v=VIlzKgNYXtE	mongodb	2022-06-17 09:03:24
python	Pythonタグが付けられた新着投稿 - Qiita	Pythonのジェネレータを使って競プロを遊ぶ	https://qiita.com/tktk_snsn/items/554210acfb7a5fcaaeb6	部分	2022-06-17 18:33:31
Ruby	Rubyタグが付けられた新着投稿 - Qiita	Rails チャット機能	https://qiita.com/gobtktk/items/4c9269ca2e0af3f0138a	railsrub	2022-06-17 18:50:58
Ruby	Rubyタグが付けられた新着投稿 - Qiita	Rails マッチング機能の実装	https://qiita.com/gobtktk/items/5caf074209faf31cae4a	rails	2022-06-17 18:49:42
Linux	Ubuntuタグが付けられた新着投稿 - Qiita	Linux版FileMaker Server 19.5.1のインストール	https://qiita.com/mackey1966/items/bf48705527f1c9cc1264	chmod	2022-06-17 18:30:42
AWS	AWSタグが付けられた新着投稿 - Qiita	AWS S3の大量削除方法	https://qiita.com/Oukaria/items/ecfcc304a3a6b008e1c8	管理	2022-06-17 18:59:53
AWS	AWSタグが付けられた新着投稿 - Qiita	米国向けサービスで多要素認証しようとしたら、申請作業が大変だった	https://qiita.com/_mass/items/18ecd7100134e8e59d01	多要素認証	2022-06-17 18:58:56
golang	Goタグが付けられた新着投稿 - Qiita	【Go】BeegoでAPI構築してみる	https://qiita.com/c6tower/items/20e1a44898f7b66ec2a0	gobeeg	2022-06-17 18:03:54
Linux	CentOSタグが付けられた新着投稿 - Qiita	CentOS Stream 8、CentOS Stream 9 で opendkim をインストールする手順（仮）	https://qiita.com/sken/items/1b912c5edd6cd9a61727	centos	2022-06-17 18:18:59
Ruby	Railsタグが付けられた新着投稿 - Qiita	Rails チャット機能	https://qiita.com/gobtktk/items/4c9269ca2e0af3f0138a	railsrub	2022-06-17 18:50:58
Ruby	Railsタグが付けられた新着投稿 - Qiita	Rails マッチング機能の実装	https://qiita.com/gobtktk/items/5caf074209faf31cae4a	rails	2022-06-17 18:49:42
技術ブログ	Developers.IO	การรัน SQL ไปยังไฟล์ใน S3 ด้วย Glue กับ Athena	https://dev.classmethod.jp/articles/running-sql-to-a-file-in-s3-with-glue-with-athena/	การรันSQL ไปยังไฟล์ในS ด้วยGlue กับAthenaสวัสดีครับครั้งนี้ผมจะมาอธิบายเกี่ยวกับการรันSQL ไฟล์S ด้วยGlue กับAthena ต่อจากบทความวิธีการใช้S จาก	2022-06-17 09:47:41
技術ブログ	Developers.IO	AWS CLIによるAWS MGN初期化の方法	https://dev.classmethod.jp/articles/manually-initializing-aws-mgn-by-aws-cli/	application	2022-06-17 09:35:08
海外TECH	MakeUseOf	Whatever Happened to Amazon's Delivery Drones?	https://www.makeuseof.com/what-happened-to-amazon-delivery-drones/	Whatever Happened to Amazon x s Delivery Drones Amazon s drone delivery service is nowhere in sight despite years of testing So what exactly happened Here s everything you need to know	2022-06-17 09:45:13
海外TECH	DEV Community	Laravel 9 Eloquent: Many-to-Many Relationships	https://dev.to/cynthiacddc/laravel-9-eloquent-many-to-many-relationships-4dp2	Laravel Eloquent Many to Many RelationshipsThree hiccups I encountered while implementing this and how to solve it CasesCase table not found when trying to seed intermediate pivot table Case Migration fail for pivot tableCase Find info on implementing way pivot table in Laravel Let s Solve ItOk so you figured out your tables have a many to many relationship and now you need to implement that in Laravel In theory Laravel doesn t need a model for the intermediate pivot table stating the many to many relationships in the parents models is enough But I encountered different situations where ultimately I found it easier or just necessary to create them By applying the Laravel naming conventions on your tables and models Laravel will automatically understand which table is the intermediate one given the correct relationship is stated in the models The Laravel docs gives you clear indications on how to implement that Case table not found In my project I have a users and a teas table with an intermediate table tea user Naming conventions here being use singular names of the parent tables in alphabetical order with underscore in between Case Error table not found when trying to seed intermediate table The seeder will by default seek the plural naming of the model Thus you get an error on running the seeding command telling you it does not exist even if the table name is correctly mentioned in the migration I found two easy solutions for that create a model for the intermediate table and add this line public table “name table class TeaUser extends Model use HasFactory public table tea user Or use the guidance from the Laravel docs for customizing the name but the shorter way like so class User extends Modelpublic function methodName return this gt belongsToMany Name class tea user Case Migration fail for pivot table Make sure you create your parent table migration before the intermediate otherwise you get a fail message when running the migration command Because it doesn t recognise the origin of the foreign keys Also the foreign key columns and the referencing columns should be of the same type For example the default type for id column is big integer so the foreign key should be unsignedBigInteger public function up Schema create tea user function Blueprint table table gt id table gt unsignedBigInteger user id table gt unsignedBigInteger tea id table gt unsignedBigInteger collection id table gt timestamps Case implementing way pivot table and work directly with it Create a model for it php artisan make model User mAnd add the many to many relationships with each of the other parent tables in it class CollectionTeaUser extends Model use HasFactory public function intermUsers return this gt belongsToMany User class collection tea user public function intermTeas return this gt belongsToMany Tea class collection tea user public function intermCollections return this gt belongsToMany Collection class collection tea user I needed that for another part of my database that involved three parent tables all having a many to many relationship with each other This is the information I found while looking for a good setup for a way intermediate table For me the only resource I found that was clear and to the point about this subject so many thanks to Kaism Oh and keep reading the Laravel doc completely about the many to many relationships and you ll discover good to know things like By default only the model keys will be present on the pivot model If your intermediate table contains extra attributes columns you must specify them when defining the relationship Also if you would like your intermediate table to have created at and updated at timestamps that are automatically maintained by Eloquent call the withTimestamps method when defining the relationship return this gt belongsToMany User class tea user gt withTimestamps And don t forget to create those columns then That s it folks good luck	2022-06-17 09:44:52
海外TECH	DEV Community	Using Explainable AI in Decision-Making Applications	https://dev.to/evgeniykrasnokutsky/using-explainable-ai-in-decision-making-applications-10e8	Using Explainable AI in Decision Making ApplicationsThere is no instruction to a decision making process However important decisions are usually made by analyzing tons of data to find the optimal way to solve a problem That s where we truly rely on logic and deduction That s why surgeons dig into anamnesis or businesses gather key persons to see a bigger picture before making a turn Relying on AI decision making can significantly reduce the time spent on research and data gathering But as the final decision is up to the human we still need to understand how our support system came up with these insights So in this article we ll discuss AI explainability and why it s important for such areas as healthcare jurisprudence or finance to justify any piece of information What is explainability in AI AI decision support systems are used in a range of industries that base their decisions on information This is what s called a data driven approach when we try to analyze available records to extract insights and support decision makers The key value here is data processing something a regular person can t do fast On the flipside neural networks can grasp enormous amounts of data to find correlations and patterns or simply search for the required item within an array of information This can be applied to domain data like stock market reports insurance claims medical analysis or radiology imagery The problem is that while AI algorithms can derive logical statements from data it remains unclear what these determinations were based on For instance some computer vision systems for lung cancer detection show up to accuracy in their predictions But can a pulmonologist rely just on model prediction without knowing if it is not mistaken tumor for fluid This concept can be represented as a black box as the decision process inside the algorithm is hidden and often can t be understood even by its designer Block Box Concept IllustratedAI explainability refers to techniques by which a model can interpret its findings in a way humans can understand In other words it s a part of AI functionality that is responsible for explaining how the AI came up with a specific output To interpret the logic of AI decision processes we need to compare three factors Data inputPatterns found by the modelModel predictionThese components basically are the essence of AI explainability implemented into decision making systems The explanation in this case can be defined as how exactly the system provides insights to the user Depending on the implementation method this can be presented as details on how the model derived its opinion a decision tree path or data visualization AI decision support system typesDecision support systems can be categorized by purposes and audiences But we can split them into two large groups consumer and production oriented Consumer oriented AI WorkflowThe first group of consumer oriented systems unites AI decision making systems that are generally used for everyday tasks Tools like recommendation engines don t require explainability as it is We don t question the logic behind music recommendations made by neural networks Unless it suggests complete garbage it s unnecessary to know how the system picked that song and brought it to you You ll probably just listen to it Production oriented AI WorkflowProduction oriented systems in contrast usually deal with critical decisions that require justification This is like how a person in charge of a final decision is responsible for any possible financial loss or harm In this case the AI model acts as assistant for professional activity providing explicit information for a decision maker So now let s look at the examples of explainability in production oriented AI systems and how it can support decision makers in healthcare finance social monitoring and other industries Explainable AI for medical image processing and cancer screeningComputer vision techniques are actively used in the processing of medical images such as Computed Tomography CT Magnetic Resonance Imaging MRI and Whole Slide images WSI Typically these are D images used for diagnostics and surgical planning or research tasks However CT and WSI can often depict the D structure of the human organism reaching enormous size For example WSI of human tissues can reach × pixel size and even more Efficient fast and accurate processing of such images serves as the basis for early detection of various cancer types such as Renal Cell CarcinomaNon small cell lung cancerBreast cancer lymph node metastasisThe doctor s task in this case is to strip the information down to visually analyze the image to find suspicious patterns in the cellular structure Based on the analysis the doctor will provide diagnosis or make a decision for surgical intervention However since WSI is a really large image it takes heaps of time attention and qualification to analyze Traditional computer vision methods will also require too much computational resources for end to end processing So how can explainable AI help here In terms of WSI analysis explainable AI will act as a support system that scans image sectors and highlights regions of interest with suspicious cellular structures The machine won t make any decision but will speed up the process and make the work of a doctor easier This is possible because WSI is more accurate and quicker in terms of image scanning giving less chance to omit specific regions Here is an example of renal clear cell carcinoma on the low resolution WSI Kidney renal clear cell carcinoma is predicted to be high risk left with the AI predicted “risk heatmap on the right red patches correspond to “high risk and blue patches to “low risk As you can see on the image on the right the AI support system highlights the regions of high risk where cancer cells are more likely to be This eliminates the need to physically analyze the whole image of a kidney providing hints for medical expertise and attention Similar heatmaps are used for even closer and more high resolution analysis of kidney tissue Example of WSI kidney tissue in high resolution left with the AI predicted attention heatmap on the right Blue color indicates low cancer risk zones red ーhigh risk The advantage of such systems is not only in operational speed and greater accuracy of analysis The image can also be manipulated in different ways to provide a fuller picture for diagnostics and to make more accurate surgical decisions if needed You can check the live demo of kidney tissue WSI analysis to see how the interface looks and how exactly it works Explainable AI for text processingText processing is a standalone task as well as a part of bigger workflows in different industries such jurisprudence healthcare finance media and marketing There are plenty of techniques for deep learning that are capable of analyzing text from different angles Here we can list natural language processing NLP natural language understanding NLU and generation NLG These algorithms can classify text by its tone and emotional shades It can also detect spam produce a short summary or generate a large contextual text based on a small initial piece Besides use in document processing machine translation and communication technologies there are other applications based on explainable AI SELF HARM OR SUICIDE PREDICTIONOne of the applications of text classification was found in Meta Facebook employees have developed an algorithm that allows you to determine users suicidal moods based on an analysis of the text of their posts as well as responses to these posts of relatives and friends If suddenly the system gives a signal that there is a high probability that a person can harm himself then this information is submitted to the community operations team for manual processing and verification Explainable AI supports teams with constant scanning of media fields to find risky commentaries After that the human agent can use data explanations presented by the model that will point to how the machine understood if that unique person is showing the risk for suicide FINANCIAL NEWS MININGAnother interesting case is for example the use of financial news texts in conjunction with fundamental analysis to forecast stock values A prime example of this would be “trading on Elon Musk s tweets whose tweets had a dramatic effect on the value of several cryptocurrencies Dogecoin and Bitcoin as well as the value of his own company The point is that if someone can impact stock prices so much through social media it is worth knowing about these posts in advance AI algorithms allow you to process a huge number of news headlines and texts in the shortest possible time by analyzing the tonality of the textidentifying the runoff or company referred to in the articleidentifying the name and position of the specialist quoted by the publicationAll this allows you to quickly make decisions on a purchase or sale based on the summary of social media information In other words such AI applications can support individuals and businesses in their decision by supplying information about recent events that could impact stock prices and different fluctuations in the market The explainability part is responsible for justifying the data by recognizing company event persona or resource entities with named entity recognition technology This allows the decision support system user to understand the logic behind the model s prediction What do we need to make the work of AI algorithms with text understandable We need to uncover the patterns AI “saw in the text We want to see what words and connections between the words that the algorithm relied on proving its conclusion about the tonality of the text How AI explainability works in text processingConsider explainable AI using the example of financial news headlines of articles Below will be several headings and the reader is invited to assess the tonality of these headings positive neutral negative as well as try to track and reflect on which words in the title you as a reader relied on when you assigned the title to a particular group Brazil s Real and Stocks Are World s Best as Foreigners Pile InAnalysis U S Treasury market pain amplifies worry about liquidityPolicymaker Warns of Prolonged Inflation due to Political CrisisA Point Plan to Reduce the European Union s Reliance on Russian Natural GasCompany Continues Diversification with Renewables Market Software Firm PartnershipNow let s compare your expectations with how these headers classify AI and see what words were important for the algorithm to make a decision In the pictures below the words on which the AI algorithm relies in making a decision are highlighted The redder the shade of the highlight the more important the word was in making the decision The more the shade was blue the more the word tilted the algorithm toward making the opposite decision Brazil s Real and Stocks Are World s Best as Foreigners Pile InClass Positive Analysis U S Treasury market pain amplifies worry about liquidityClass Negative Policymaker Warns of Prolonged Inflation due to Political CrisisClass Negative A Point Plan to Reduce the European Union s Reliance on Russian Natural GasClass Neutral Company Continues Diversification with Renewables Market Software Firm PartnershipClass PositiveHow long did it take you to read all these headlines analyze and make a decision Now imagine that AI algorithms can do the same but hundreds of times faster How to integrate Explainable AI features into your project One might think that integration of explainable AI into a project is quite a sophisticated and challenging step Let us demystify it In general from the perspective of explainability AI systems may be classified into two classes Those which support explainability out of the boxThose which need some third party libraries to be applied to make them explainableThe first class of AI includes instance and semantic segmentation algorithms AI algorithms based on attention are good examples of self explainable algorithms we ve shown above based on examples of WSI kidney tissue cancer risk images The second class of AI algorithms in general doesn t support out of the box self explainability But this doesn t make them completely unexplainable As an example of such an algorithm we ve shown text classification above We can use rd party libraries on top of AI algorithms that make them explainable Usually it is easy to use LIME or SHAP libraries to make your AI explainable However the explainability requirements may differ on the project or user objectives so we suggest you enlist the support of an AI expert s team to receive proper consulting and development AI explainability enhances trustOne of the key factors that prevents mass adoption of AI is the lack of trust Decision support tools in data driven organizations already perform routine tasks of reporting and analysis But at the end of the day these systems are still not capable of providing a justified opinion on business critical or even life critical decisions Explainable AI is a step further in data driven decision making as it breaks the black box concept and makes the AI process more transparent more verifiable and trusted Depending on the implementation a support system can provide more than just a hint because as we track down the decision process of an AI algorithm we can uncover new ways to solve our task or be provided with optional types of decisions Featured image credits Tara Winstead	2022-06-17 09:42:49
Apple	AppleInsider - Frontpage News	Apple Music, Spotify, Amazon, lose million music subscribers in UK	https://appleinsider.com/articles/22/06/17/apple-music-spotify-amazon-lose-million-music-subscribers-in-uk?utm_medium=rss	Apple Music Spotify Amazon lose million music subscribers in UKA new report claims that over one million UK subscribers have cancelled their streaming services such as Apple Music in Q citing a need to save money Apple MusicKantar Research also notes that there is a decline in the number of young people with music streaming subscriptions in the UK Read more	2022-06-17 09:51:30
海外TECH	Engadget	Anker's Eufy robovacs are up to 48 percent off at Amazon	https://www.engadget.com/ankers-eufy-robovacs-are-up-to-48-percent-off-at-amazon-095006208.html?src=rss	Anker x s Eufy robovacs are up to percent off at AmazonAnker s Eufy brand robotic vacuums are already affordable and they just got even cheaper via a new Amazon sale The most interesting model is the Eufy BoostIQ RoboVac that s available for just for a savings of or percent off the regular price Other models also have steep discounts like the advanced RoboVac X RoboVac S Slim RoboVac C MAX and RoboVac G Hybrid nbsp Buy Anker Eufy RoboVacs at AmazonAnker launched Eufy back in as a budget robotic vacuum brand with an emphasis on technology The cheapest model in this sale is the BoostIQ RoboVac available for or off the regular price It offers features like a slim profile Pa suction levels included boundary strips automatic cleaning and minutes of endurance on hardwood floors It lacks WiFi and other advanced features but if you don t need those it s a steal at that price On the other end of the scale is Eufy s RoboVac X on sale for or percent off the regular price It generates Pa of suction while offering advanced tech features like iPath laser navigation to scan and map your home using LiDAR AI Map tech that can save maps for multiple floors and smartphone control via WiFi nbsp In addition you can grab the RoboVac S Slim for just or percent off While vacuum power is limited to Pa it s small enough at inches to fit in spaces other vacuums can t reach Upgrade to WiFi and more powerful Pa of suction with the RoboVac C MAX on sale for or off the regular price nbsp Another powerful WiFi equipped model is the RoboVac G offering Smart Dynamic Navigation Pa of suction and Alexa compatibility It s on sale for or off the regular price via a coupon used at checkout And finally the RoboVac G Hybrid offers the same features but can also do mopping is on sale for or percent off the list price nbsp Follow EngadgetDeals on Twitter and subscribe to the Engadget Deals newsletter for the latest tech deals and buying advice	2022-06-17 09:50:06
海外TECH	Engadget	Lyft will pay $25 million to settle claims it hid safety issues before its IPO	https://www.engadget.com/lyft-25-million-settle-claims-hid-safety-issues-090525001.html?src=rss	Lyft will pay million to settle claims it hid safety issues before its IPOLyft has agreed to pay million to settle shareholders allegations that it failed to disclose safety issues in its Initial Public Offering IPO paperwork According to Reuters shareholders accused the company of concealing known problems such as sexual assaults by its drivers to cultivate an image of a more socially responsible alternative to Uber They also accused Lyft of not disclosing safety issues regarding its bikeshare program specifically the problem the company faced with its brakes that forced it to pull its bikes from various cities in the US While Lyft has agreed to settle it denied any wrongdoing In a statement sent to CNN Business company spokesperson Gabriela Condarco Quesada said quot This settlement resolves a shareholder class action related to statements in Lyft s initial public offering and its financial impact on investors ーit s not about safety related claims on the platform quot In their complaint the shareholders said reports of sexual assaults by Lyft drivers that came out after the IPO represented an quot existential risk quot to the brand that should have been disclosed beforehand Further they said Lyft used promotions to boost its market share against Uber nbsp Lyft officially filed to go public in but it wasn t until that it had published its first safety report In it the rideーhailing firm revealed that it received a total of sexual assault reports from until Lyft divided the cases in different categories for its report with the most common incidents falling under the non consensual touching of a sexual body part category It s worth noting however that the money for this settlement will go to shareholders and not to any of the passengers who reported being sexually assaulted by the firm s drivers	2022-06-17 09:05:25
医療系	医療介護 CBnews	ヤングケアラー相談支援の団体、東京都が補助へ-ピアサポートやオンラインサロンなどが対象	https://www.cbnews.jp/news/entry/20220617184040	補助事業	2022-06-17 18:50:00
医療系	医療介護 CBnews	病床確保の協定締結義務化、公的公立・大学病院などに-違反なら承認取消も検討、政府コロナ対策本部決定	https://www.cbnews.jp/news/entry/20220617182047	医療機関	2022-06-17 18:35:00
医療系	医療介護 CBnews	岸田首相の感染研・NCGM統合発言の見解掲載-これまでの一体的機能発揮の取り組みなど説明	https://www.cbnews.jp/news/entry/20220617165202	取り組み	2022-06-17 18:20:00
医療系	医療介護 CBnews	石綿の健康被害、特別遺族給付金の請求期限延長-厚労省が救済法改正のポイントをHP掲載	https://www.cbnews.jp/news/entry/20220617165708	健康被害	2022-06-17 18:15:00
医療系	医療介護 CBnews	感染研と統合の新組織に「総合病院機能が必要」-国際医療研究センターが岸田首相発言で見解	https://www.cbnews.jp/news/entry/20220617164633	国立国際医療研究センター	2022-06-17 18:10:00
医療系	医療介護 CBnews	「かかりつけ医機能」第8次医療計画検討会で議論へ-外来の役割分担・連携推進で	https://www.cbnews.jp/news/entry/20220617134318	医療計画	2022-06-17 18:05:00
金融	金融庁ホームページ	日本とインドネシアのフィンテック協力枠組みに関する書簡の交換について公表しました。	https://www.fsa.go.jp/inter/etc/20220617-2.html	枠組み	2022-06-17 11:00:00
海外ニュース	Japan Times latest articles	J. League cautiously continues down road to normalcy with cheering tests	https://www.japantimes.co.jp/sports/2022/06/17/soccer/j-league/jleague-return-to-normal/	J League cautiously continues down road to normalcy with cheering testsOver combined fans at Kashima Soccer Stadium in Ibaraki Prefecture and Ajinomoto Stadium in the western Tokyo city of Chofu took part in cheering	2022-06-17 18:11:39
ニュース	BBC News - Home	Gatwick: Passenger with restricted mobility dies leaving flight	https://www.bbc.co.uk/news/uk-england-sussex-61837369?at_medium=RSS&at_campaign=KARANGA	gatwick	2022-06-17 09:43:12
ニュース	BBC News - Home	Julian Assange can be extradited, says UK home secretary	https://www.bbc.co.uk/news/uk-61839256?at_medium=RSS&at_campaign=KARANGA	patel	2022-06-17 09:54:36
ニュース	BBC News - Home	Pensions: Millions receive wrong amount 'for decades'	https://www.bbc.co.uk/news/uk-61829661?at_medium=RSS&at_campaign=KARANGA	decades	2022-06-17 09:51:59
ニュース	BBC News - Home	England appoints ambassador to shake up women's health	https://www.bbc.co.uk/news/health-61827013?at_medium=RSS&at_campaign=KARANGA	health	2022-06-17 09:48:01
ニュース	BBC News - Home	‘Children are being abused’ – gymnasts on damning report	https://www.bbc.co.uk/sport/gymnastics/61834703?at_medium=RSS&at_campaign=KARANGA	abuse	2022-06-17 09:57:22
ビジネス	不景気.com	極楽湯の22年3月期は12億円の最終赤字へ、燃料費と減損 - 不景気com	https://www.fukeiki.com/2022/06/gokurakuyu-2022-loss.html	最終赤字	2022-06-17 09:09:23
北海道	北海道新聞	ウイグル弾圧で離散、心情を歌う　日本の協会が楽曲発表	https://www.hokkaido-np.co.jp/article/694823/	新疆ウイグル	2022-06-17 18:09:00
ニュース	Newsweek	【動画】「海のロデオだ！」 激しく暴れるウツボを、タコが見事に「乗りこなす」	https://www.newsweekjapan.jp/stories/world/2022/06/post-98895.php	中にはこのタコとウツボの様子をロデオにたとえる者もいた。	2022-06-17 18:10:00
IT	週刊アスキー	毎日500名に1000円分のギフトコードが当たる！『三國志 覇道』でプレゼントキャンペーンを開催中	https://weekly.ascii.jp/elem/000/004/095/4095103/	applegiftcard	2022-06-17 18:45:00
IT	週刊アスキー	『ウマ娘 プリティーダービー』6月29日20時より「ぱかライブ TV Vol.18」が配信決定！	https://weekly.ascii.jp/elem/000/004/095/4095098/	cygames	2022-06-17 18:15:00
マーケティング	AdverTimes	グリコ出張授業、植物生まれのプッチンプリン容器が文房具へ	https://www.advertimes.com/20220617/article387199/	千葉県流山	2022-06-17 09:29:52