投稿時間:2022-01-27 19:36:23 RSSフィード2022-01-27 19:00 分まとめ(47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	Win 11のAndroidアプリ動作機能、パブリックレビューが来月公開へ	https://japanese.engadget.com/android-windows-11-review-093535248.html	windows	2022-01-27 09:35:35
TECH	Engadget Japanese	Fox News司会者、YouTubeで新型コロナ誤情報拡散繰り返しアカウント永久追放処分	https://japanese.engadget.com/you-tube-bans-fox-news-host-for-evading-suspension-090037596.html	永久追放	2022-01-27 09:00:37
ROBOT	ロボスタ	スマホで動く電動スマートベッド「nerum app」新発売 睡眠センサーが呼吸・心拍数、寝返りなどをモニタリング・分析	https://robotstart.info/2022/01/27/smart-bed-nerum-app.html	nerumap	2022-01-27 09:02:32
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] メタバースでパブリックビューイング　KDDI、サッカー日本代表戦で	https://www.itmedia.co.jp/business/articles/2201/27/news185.html	cluster	2022-01-27 18:21:00
IT	ITmedia 総合記事一覧	[ITmedia News] ニール・ヤング、Spotifyから全曲引き上げへ　反ワクチンのPodcastへの抗議で	https://www.itmedia.co.jp/news/articles/2201/27/news186.html	itmedia	2022-01-27 18:17:00
IT	情報システムリーダーのためのIT情報専門サイト IT Leaders	アシスト、静的解析ツール「Fortify SCA」、Webシステムの脆弱性を検出して修正方法を提示 | IT Leaders	https://it.impress.co.jp/articles/-/22638	アシスト、静的解析ツール「FortifySCA」、Webシステムの脆弱性を検出して修正方法を提示ITLeadersアシストは年月日、ソースコード解析ツール「FortifyStaticCodeAnalyzer」FortifySCAの販売を開始した。	2022-01-27 18:16:00
AWS	AWS - Webinar Channel	AWS analytics Shortclips: Amazon EMR Studio (Hebrew)	https://www.youtube.com/watch?v=3UgucTlbYsk	AWS analytics Shortclips Amazon EMR Studio Hebrew Amazon EMR Studio is a web based integrated development environment IDE for fully managed Jupyter notebooks that runs on Amazon EMR clusters In this short clip we review and demonstrate how to setup and use EMR Studio You can set up an EMR Studio for your team to develop visualize and debug applications written in R Python Scala and PySpark	2022-01-27 09:46:16
AWS	lambdaタグが付けられた新着投稿 - Qiita	Serverless Framework	https://qiita.com/propella/items/13631bc363033e82fa40	Variable設定ファイルserverlessymlには以下のような変数を含める事が出来る。	2022-01-27 18:21:49
python	Pythonタグが付けられた新着投稿 - Qiita	EclipseでPythonのpip installを使う	https://qiita.com/yuu6845/items/69bd0833969f11fd1290	EclipseでPythonのpipinstallを使うEclipseでPythonpipinstallのやりかた本記事は、Pythonをinstallしていること前提としています。	2022-01-27 18:32:15
AWS	AWSタグが付けられた新着投稿 - Qiita	Amazon Elastic Block Store（EBS）自分用まとめ	https://qiita.com/hm-om/items/8a166505fa9e3c5f22fe	AmazonSやAmazonEFSではなくてAmazonEBSを選択するべき場合としては、例えばWebDAVのようにPaaSとして提供されないストレージを必要とする状況でAmazonECインスタンスを使用して自ら構築・運用する場合、AmazonECインスタンスにアタッチするブロックストレージとしてAmazonEBSが利用されます。	2022-01-27 18:17:02
Git	Gitタグが付けられた新着投稿 - Qiita	ブランチを一括削除	https://qiita.com/dj-hirrot/items/55bf096d748466c1acb1		2022-01-27 18:47:59
Git	Gitタグが付けられた新着投稿 - Qiita	gitコマンドのエイリアスでも補完したい	https://qiita.com/dj-hirrot/items/ae62593b8e2fb7512a86		2022-01-27 18:47:15
技術ブログ	Developers.IO	AlteryxでZendeskのスケジュールに登録されている休日を確認して新しく休日を登録する	https://dev.classmethod.jp/articles/update-holidays-in-zendesk-with-alteryx/	alteryx	2022-01-27 09:50:13
海外TECH	DEV Community	Introduction to AWS Lake Formation	https://dev.to/aws-builders/introduction-to-aws-lake-formation-1j8c	Introduction to AWS Lake Formation IntroductionAWS Lake Formation is an integrated data lake service that makes it easy for you to ingest clean catalog transform and secure your data and make it available for analysis and machine learning Lake Formation gives you a central console where you can discover data sources set up transformation jobs to move data to an S data lake remove duplicates and match records catalog data for access by analytic tools configure data access and security policies and audit and control access from AWS analytic and machine learning services Lake Formation automatically manages access to the registered data in S via services including AWS Glue Amazon Athena Amazon Redshift Amazon EMR Notebooks and Zeppelin notebooks with Apache Spark and Amazon QuickSight to ensure compliance with your defined policies If you ve set up transformation jobs spanning AWS services Lake Formation configures the flows centralizes their orchestration and lets you monitor the running of your jobs With Lake Formation you can configure and manage your data lake without manually integrating multiple underlying AWS services Big Data Analytics Options on AWS is a Series containing different articles that provides a basic introduction to different Big Data Analytics Options on AWS Each article covers the detailed guide on how each service is used for collecting processing storing and analyzing big data Ideal usage patternsAWS Lake Formation helps you collect and catalog data from databases and object storage move the data into your new S data lake clean and classify your data using machine learning algorithms and secure access to your sensitive data Your users can access a centralized data catalog which describes available datasets and their appropriate usage Using AWS Lake Formation gives you the following benefits Build data lakes quicklyLake Formation blueprints simplify the deployment of ingestion workflow via a simple interface Simply point Lake Formation at your data sources and Lake Formation crawls those sources and moves the data into your new S data lake Lake Formation has built in machine learning to deduplicate and find matching records two entries that refer to the same thing to increase data quality Simplify security managementCentrally define security governance and auditing policies in one place You can define security policy based rules for your users and applications by role in Lake Formation and integration with AWS Identity and Access Management AWS IAM authenticates those users and roles With tag based access control data stewards can define a tag ontology based on data classification and grant access based on tags to IAM principals and SAML principals or groups Enforce encryption leveraging the encryption capabilities of S for data in your data lake Provides comprehensive audit logs with CloudTrail to monitor access and show compliance with centrally defined policies Provide self service access to dataLabel your data with business metadata Designate data owners such as data stewards and business units by adding a field in table properties as “custom attributes Specify grant and revoke permissions on tables defined in the central Data Catalog The same Data Catalog is available for multiple accounts groups and services Search for relevant data by name contents sensitivity or other any other custom labels you have defined IntegrationIntegration with data access services like Amazon Athena Amazon EMR Amazon Redshift and Amazon QuickSight ServerlessNo infrastructure to provision or manage Cost modelThere is no additional charge for using features in Lake Formation Lake Formation helps you build and manage data lakes where your data in stored in S It builds on capabilities available in AWS Glue and uses the AWS Glue Data Catalog jobs and crawlers It also integrates with services like AWS CloudTrail AWS IAM Amazon CloudWatch Amazon Athena Amazon EMR Amazon Redshift and others Standard usage rates for these services will apply based on pricing for these services PerformanceAWS Lake Formation uses AWS Glue as a transformation engine Refer to the AWS Lake Formation How it Works section of the Lake Formation Developer Guide Durability and availabilityAWS Lake Formation leverage S as data lake storage designed to provide of data durability of objects over a given year It creates and stores copies of all S objects across multiple systems This means your data is available when you need it and protected against failures errors and threats The AWS Glue service is fully managed It provides status for each job and pushes all notifications to Amazon CloudWatch Events You can setup SNS notifications using CloudWatch actions to be informed of job failures or completions Scalability and elasticityAWS Lake Formation uses AWS Glue which provides a managed ETL service that runs on a Serverless ApacheSpark environment This enables you to focus on your ETL job and not worry about configuring and managing the underlying compute resources AWS Glue works on top of the Apache Spark environment to provide a scale out run environment for your datat ransformation jobs InterfacesLake Formation provides a console to manage your data lake locations data catalog access privileges and deploy blueprints It also provides APIs and a CLI to integrate Lake Formation functionality into your custom applications Java and C SDKs are available to enable you to integrate your own data engines with Lake Formation Lake Formation manages query access from AWS Glue Athena Amazon Redshift EMR Notebooks and Zeppelin notebooks for EMR with Apache Spark through a unified security model and permissions You can use third party business applications like Tableau and Looker to connect to your AWS data sources through services like Athena or Amazon Redshift Access to data is managed by the underlying data catalog so regardless of which application you use you are assured that access to your data is governed and controlled Anti patternsAWS Lake Formation has the following anti patterns Managing unstructured data AWS Lake Formation does not manage security for unstructured objects as document PDF Word images or videos Business catalog Lake Formation helps label your data with business metadata and designate data owners such as data stewards and business units by adding a field in table properties as “custom attributes For advanced use cases consider integrating a Partner solution from the AWS Marketplace Managing permission for open source and third party big data components ーAWS Lake Formation is not integrated with Presto HBase and other EMR components not specified in the previous Interface section of this chapter It is also not integrated with third party applications such as Trino or Databricks Real time analytics AWS Lake Formation is not integrated with Amazon Kinesis or OpenSearch Service If you need to manage a real time analytics pipeline or dashboard you will have to manage privileges in a traditional way Hope this guide gives you an Introduction to AWS Lake Formation 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 Reference Notes	2022-01-27 09:27:23
海外TECH	DEV Community	Introducing Vault3 - Your Safest Decentralized Vault!	https://dev.to/byteslash/introducing-vault3-your-safest-decentralized-vault-2oak	Introducing Vault Your Safest Decentralized Vault What is Vault Simply speaking Vault is a decentralized vault for all your digital belongings like Passwords Images and Files Vault is our submission for the Hashnode x ThirdWeb HackathonTry Vault ️HashnodeIn case you don t know Hashnode is the easiest way to start a developer blog on your personal domain for free and connect with the readers through its global dev community ThirdWebThese days Web is catching everyone s eyes and as a developer myself the learning curve is pretty steep That s where ThirdWeb comes in ThirdWeb is a sweet collection of tools that can be used to build sophisticated Web apps with ease Tracing Back to Vault let s first see where the Idea came from The ProblemIt is normal tendency for humans to forget things that are long or things that cant be remembered easily Hence we write them down in a place to use them when needed But in the digital world writing important things that are hard to remember like passwords in physical objects like paper has become highly unlikely It has become quite common to store important things in applications like password note managers But have we ever thought about the safety of our digital belongings in those applications that are centralized Have we ever thought that our data can be easily censored by the applications where we store them in Enter Vault a safe and secure digital vault Deep Dive into VaultSpeaking of Vault it s a web application built with technologies like NextJS Chakra UI and some external libraries Vault provides users with a safe vault which they can use to store important belongings such as Photos Passwords and Files The way it works is User first connects their wallet like MetamaskThen they create a private key to access their vault To create a private key user needs to upload an Image of their choice This Image is hashed and will be used as a private key to access the vault Now the user can access their vault through a DashboardHere the user can upload Passwords Images and FilesUsers can also delete download and view their stats The Tech StackNextJSChakra UIThirdwebHardhat Understanding the flow of the app AuthenticationThe auth flow is handled by crypto wallets as in web protocols We are using Thirdweb as our provider At the time of writing this article Vault only supports Metamask wallet Generating the private keyThe private key to access the vault is basically generated from the Image that the user provides when creating a new private key The Image is first converted into byte data and then its hashed using the HmacSHA algorithm which is then used as a private key to access the vault To access their vault again users must provide the same Image Uploading FlowAll of your data is stored safely on the Polygon blockchain using the AES encryption algorithm Uploading PasswordStoring a password is extremely simple You are just required to enter the Website for which you want to store the password your Username or Email you used for that site and lastly the Password itself You can also copy the password and also reveal it once it has been stored You can also filter your passwords by searching for the site address that you have given while storing a new password Uploading ImageThe process for storing an image relatively remains the same as storing a password except the field where you would enter the name of the site is now replaced by a field for Name of the image And you now have a field to insert your image Vault supports various image formats such as PNG JPG SVG GIF and WEBP Ta da Your image is now stored in your vault Uploading FilesMoving onto importing a file Vault supports insertion of files of all kinds so you do not have to worry about the format of your file You just need to insert your file and the Name field is populated by the name of the file you have chosen and you cannot change the Name for a file unlike the situation of storing an Image Apart from uploading Passwords Images and Files users can also delete and download the data stored in their vault Note Since Vault is based on web most of these operations require Gas Fees in the form of MATIC tokens ️On a sidenote Vault currently operates on the Mumbai Polygon Testnet Network and you can get some fake MATIC here Moving from this Let s meet the Team Saptarshi Basu Builder saptarshii me gmail comAnurag Co Builder kr anurag gmail comTwitter Launch Post External LinksGithubProduct Hunt	2022-01-27 09:26:57
海外TECH	DEV Community	JavaScript check if array contains a value	https://dev.to/dailydevtips1/javascript-check-if-array-contains-a-value-59lg	JavaScript check if array contains a valueLet s sketch the use case We have some roles that can access a particular page So only people with that specific role should be able to continue These valid roles are defined in an array const roles moderator administrator superman How can we check to see if a user s role is part of this list For the sake of this article we ll assume the user s role is a simple string like so cost role user There are a couple of options for us here Let s take a look at each of them JavaScript includesThis might be my personal most used option It s quick and straightforward and has no weird overhead This includes method will return true or false if it can find the string you are looking for roles includes user falseroles includes moderator true JavaScript indexOfWe can also use indexOf which will return if it can t find the item or the actual index if it does roles indexOf user roles indexOf superman This could be super helpful if you need the item s index anyway but I think includes should work better for you if you don t JavaScript someAnother way of doing this is using the some method this will return a boolean like the includes method It will return if some of the items in the array match the search query roles some role gt role user falseroles some role gt role moderator trueAgain depending on the use case this could be the better solution mainly good if you would have to check for multiple things to match JavaScript findThe find method is a new way of searching an array and it will return undefined or the item roles find role gt role user undefinedroles find role gt role moderator moderator This method is perfect if you need the entire object to do something with Imagine the roles being an object and we want to use another property of this object And there you go multiple ways of checking if an array contains a value You can try all of these out in the following CodePen Note Open your terminal Thank you for reading and let s connect Thank you for reading my blog Feel free to subscribe to my email newsletter and connect on Facebook or Twitter	2022-01-27 09:16:32
海外TECH	DEV Community	Pandas Walkthrough	https://dev.to/lians/pandas-walkthrough-5bh6	Pandas WalkthroughIf you re thinking about a career in data science this is one of the first tools you should learn Pandas is an excellent tool particularly for data analysis Pandas is said to be derived from the term panel data and it stands for Python Data Analysis Library in full The package supports SQL Excel xmls and JSON files in addition to csv files As a result there is no need to bother with converting files to csv format Pandas ability to re arrange data into appealing rows and columns is a fascinating feature Let s get startedYou must have the anaconda application installed on your PC in order to install pandas Alternatively Google Notebook You may access Jupyter Notebook by typing the keywords Jupyter Notebook into your search bar after installing anaconda On your machine s browser the application will open a kernel and a localhost page If you ve completed this successfully you re ready to begin coding with Pandas Create a new notebook in Python and type the following in the code cell import pandas as pdIf you ve prepared a dataset the next step is to import it into your notebook This can be accomplished using df pd read csv r file location dfHowever if you want to use your own data we can do so by creating a variable inside the code cell Consider the following scenario data first Lians Shem Zainab last Wanjiku Githinji Buno email lianswanjiku gmail com mailto lianswanjiku gmail com smaina gmail com mailto smaina gmail com zainab gmail com mailto zainab gmail com df pd DataFrame data dfIsn t it straightforward The next step would be to learn how to use the Pandas tools that are required In this guide I ll go through a list of topics that you must study and comprehend in order to be proficient with Pandas Series and DataFramesA dataframe is a combination of many series whereas a pandas series is a one dimensional data structure made up of a key value pair A dataframe is a data set that has been imported into pandas however if you call out a single column you get a series IndexesAn index is a unique identifier for locating a series or dataframe It is necessary to understand how to create an index how to use it to call out a row or column and filter data from it and how to then reset the index Iloc and loc are two tools for indexing The distinction between the two is that iloc locates data that is integer positioned whereas loc uses labels to do so iloc It returns a series dataframe that contain values of that line of data that has been indexed df iloc loc It returns a series dataframe that contain values of that line of data that has been indexed df loc FilteringThe process is used to segregate select rows and columns from the entire dataset during data cleaning For example if you re trying to predict house pricing based on the property s features it would be best to filter out these characters That way an analyst finds a simplified way to forecast a price In Pandas the filter can be applied to a label for example Country df filter items one three Updating adding and removing rows and columnsThese are also operations that are engaged in data cleansing You can for example change the names of labels in a data set if they appear to be confusing Sometimes when handling data it may contain missing values it is expected to remove drop these rows or columns Combining rows and columns df full name df first df last let s try to remove a bunch of columns from the dataFrame df drop columns first last inplace True We can add new elements to the dataframe using the append function df append first Tony ignore index True In order to add a new row we may have to append the previous ones as shown below Let s start by creating a new dataframe and calling it dfpeople first Stella Natalie last Smith Mikaelson email stelasmith gmail com mailto stelasmith gmail com mnatalie gmail com mailto mnatalie gmail com df pd DataFrame people df The we can append it to the already existing one df df append df ignore index True SortingSorting data entails arranging it according to a set of criteria Data can be sorted in Pandas in two ways by index values or by column labels or a hybrid of the two Let s take a look at a code snippet for data sorting Let s arrange the df in the order of alphabetical order in ascending order df sort values by last In this case we re required to arrange the values according to the last names alphabetical order As a result sort by column labels The following example sorts data according to their index position df sort index Aggregation and groupingThis is a basic approach of segregating relevant data rows and columns in order to arrive at a faster conclusion similar to filtering I won t go into great depth about this because I prefer filtering to grouping and aggregation However here s a bit of code for the operations It can be achieved through column labels index position or a combination of both gender grp df groupby GENDER gender grp get group Female Date and TimeIf you re working with a data set that includes a date or time column you ll need to know how to manipulate it First as shown below we ll describe the date parser variable in pandas d parser lambda x pd datetime strptime x Y m d I p df pd read csv r C Users lian s Downloads ETH h csv parse dates Date date parser d parser dfWe can also create a new column that describes what day it was on a specific date df DayOfWeek df Date dt day name df File handlingAs previously stated there are several ways to read files into Pandas however in this tutorial we focused primarily on reading csv files However it is recommended that you go through each of the other supported file formats as you learn Pandas SQL Excel and Json to be specific ConclusionThe tutorial has chosen the most important aspects to study when learning Pandas but there are many more concepts to learn I recommend that you look through the Pandas documentationI hope you find this guide useful as you embark on your Data Science journey Don t forget to share your thoughts and comments in the section below	2022-01-27 09:16:00
海外TECH	Engadget	Anti-work subreddit temporarily goes private after awkward Fox News interview	https://www.engadget.com/anti-work-subreddit-goes-temporarily-private-093255504.html?src=rss	Anti work subreddit temporarily goes private after awkward Fox News interviewThe r antiwork subreddit forum has temporarily gone private following a rough interview between Fox News personality Jesse Watters and one of the subreddit s moderators Mashable reported Other mods said they re dealing with quot cleanup from ongoing brigading quot or attacks by other subreddits quot and will be back soon quot nbsp Members of the forum felt that the interview didn t reflect well on them as it focused more on the moderator personally rather than the movement itself quot This person had the chance to prove to the world the problems with the current work culture yet just said laziness is a virtue quot one commenter stated nbsp The subreddit s catch phrase is quot Unemployment for all not just the rich quot It has more than million users and was the fastest growing non default reddit across the site as of this writing Growth doubled in the last three months alone as workers tired of COVID pandemic conditions and low wages nbsp While it originally started as an anti capitalism forum the subreddit is now used to discuss workers rights talk about bad bosses air grievances and more Previously the site has been implicated in a hack on business receipt printers to insert pro labor messages quot Most of the posts on r antiwork are from retail and fast food workers nurses teachers and other essential workers who are being screwed over during the pandemic quot said another user on Twitter according to The Independent quot But then this moderator goes on TV and sets the entire thing back by a decade	2022-01-27 09:32:55
ラズパイ	Raspberry Pi	The Roots project: Implementing culturally responsive computing teaching in schools in England	https://www.raspberrypi.org/blog/culturally-responsive-computing-teaching-schools-england-roots-research-project/	The Roots project Implementing culturally responsive computing teaching in schools in EnglandSince last year we have been investigating culturally relevant pedagogy and culturally responsive teaching in computing education This is an important part of our research to understand how to make computing accessible to all young people We are now continuing our work in this area with a new project called Roots bridging our research team The post The Roots project Implementing culturally responsive computing teaching in schools in England appeared first on Raspberry Pi	2022-01-27 09:52:09
医療系	医療介護 CBnews	高齢者の入院増加、重症患者数の動向に警戒を-東京都がコロナモニタリング会議の専門家意見公表	https://www.cbnews.jp/news/entry/20220127183059	入院患者	2022-01-27 18:50:00
医療系	医療介護 CBnews	電子処方箋の運営費、医療機関・薬局は負担なし-1年目に1.6億－5.6億円補助、厚労省	https://www.cbnews.jp/news/entry/20220127175512	医療保険	2022-01-27 18:05:00
金融	RSS FILE - 日本証券業協会	インド資本市場セミナー（2022年2月4日・7日・8日）の開催について	https://www.jsda.or.jp/about/international/indianseminar2022.html	資本市場	2022-01-27 10:00:00
金融	金融庁ホームページ	入札公告等を更新しました。	https://www.fsa.go.jp/choutatu/choutatu_j/nyusatu_menu.html	公告	2022-01-27 11:00:00
金融	ニッセイ基礎研究所	フィリピン経済：21年10-12月期の成長率は前年同期比7.7％増～３期連続のプラス成長、民間消費が順調に回復	https://www.nli-research.co.jp/topics_detail1/id=70038?site=nli	フィリピン経済年月期の成長率は前年同期比増期連続のプラス成長、民間消費が順調に回復年月期の実質GDP成長率は前年同期比増前期同増と上昇し、市場予想同増を上回る結果となった図表。	2022-01-27 18:46:13
ニュース	BBC News - Home	Covid: Care home restrictions to be eased in England	https://www.bbc.co.uk/news/uk-60151596?at_medium=RSS&at_campaign=KARANGA	isolation	2022-01-27 09:09:59
ニュース	BBC News - Home	Ukraine crisis: US rejects Russian demand to bar Ukraine from Nato	https://www.bbc.co.uk/news/world-europe-60145159?at_medium=RSS&at_campaign=KARANGA	ukraine	2022-01-27 09:45:27
ニュース	BBC News - Home	Universal Credit: Jobseekers must widen job search more quickly	https://www.bbc.co.uk/news/business-60149016?at_medium=RSS&at_campaign=KARANGA	field	2022-01-27 09:48:35
ニュース	BBC News - Home	Train firms bet on mindfulness to lure commuters back	https://www.bbc.co.uk/news/business-60140862?at_medium=RSS&at_campaign=KARANGA	numbers	2022-01-27 09:08:57
ニュース	BBC News - Home	Barty becomes first home player to reach Australian Open women's singles final in 42 years	https://www.bbc.co.uk/sport/tennis/60144405?at_medium=RSS&at_campaign=KARANGA	Barty becomes first home player to reach Australian Open women x s singles final in yearsAshleigh Barty becomes the first home player to reach the Australian Open women s singles final in years beating Madison Keys on Rod Laver Arena	2022-01-27 09:49:59
ニュース	BBC News - Home	Britain's Hewett loses Australian Open wheelchair singles final	https://www.bbc.co.uk/sport/tennis/60151519?at_medium=RSS&at_campaign=KARANGA	kunieda	2022-01-27 09:06:06
ビジネス	ダイヤモンド・オンライン - 新着記事	トーメンデバイス(2737)、7期連続｢増配｣を発表し、 配当利回り4.5％に！ 年間配当額は7年で7倍に増加、 2022年3月期は前期比110円増の｢1株あたり280円｣ - 配当【増配・減配】最新ニュース！	https://diamond.jp/articles/-/294692	トーメンデバイス、期連続「増配」を発表し、配当利回りに年間配当額は年で倍に増加、年月期は前期比円増の「株あたり円」配当【増配・減配】最新ニューストーメンデバイスが、年月期の配当予想の修正増配を発表し、配当利回りがにトーメンデバイスは、年月期の年間配当を前回予想比で「円」の増配、前期比では「円」の増配となる「株あたり円」に修正すると発表した。	2022-01-27 18:35:00
ビジネス	不景気.com	グレイステクノロジーが上場廃止、粉飾で報告書提出できず - 不景気.com	https://www.fukeiki.com/2022/01/grace-technology-delisting.html	上場廃止	2022-01-27 09:11:02
北海道	北海道新聞	アルペン湯浅引退「やり切った」　０６年トリノ五輪入賞	https://www.hokkaido-np.co.jp/article/638549/	日本選手	2022-01-27 18:19:00
北海道	北海道新聞	給食にシカ肉使ったボロネーゼ　遠軽の加工会社贈る	https://www.hokkaido-np.co.jp/article/638546/	遠軽	2022-01-27 18:17:00
北海道	北海道新聞	慰安婦映画公開は「適法」　出演のギルバート氏ら敗訴	https://www.hokkaido-np.co.jp/article/638544/	従軍慰安婦問題	2022-01-27 18:17:00
北海道	北海道新聞	道内企業の脱炭素を支援　北洋銀、道銀が取り組み加速	https://www.hokkaido-np.co.jp/article/638543/	北洋銀行	2022-01-27 18:15:00
北海道	北海道新聞	医療者３回目接種、８割「痛み」　根室病院調査	https://www.hokkaido-np.co.jp/article/638533/	市立根室病院	2022-01-27 18:13:00
北海道	北海道新聞	囲碁、藤沢が天元戦ベスト１６へ　本戦で趙を破る	https://www.hokkaido-np.co.jp/article/638531/	東京都千代田区	2022-01-27 18:10:00
北海道	北海道新聞	ヤクルト村上が新型コロナ陽性　昨季ＭＶＰ、２度目の感染	https://www.hokkaido-np.co.jp/article/638529/	新型コロナウイルス	2022-01-27 18:07:00
北海道	北海道新聞	日産連合、ＥＶ開発に３兆円　５年間、新型３５車種投入	https://www.hokkaido-np.co.jp/article/638528/	三菱自動車	2022-01-27 18:05:00
北海道	北海道新聞	知人の軽トラックで現場に　注意引かぬよう接近か、男女殺傷	https://www.hokkaido-np.co.jp/article/638527/	三重県四日市市	2022-01-27 18:03:00
マーケティング	MarkeZine	サイバー・バズ、インフルエンサーがInstagramのサブアカウントを運用するプランの提供を開始	http://markezine.jp/article/detail/38226	instagram	2022-01-27 18:15:00
IT	週刊アスキー	Switchソフト『限界凸旗 セブンパイレーツ H』が本日から2月10日までリリース記念セールを実施！	https://weekly.ascii.jp/elem/000/004/081/4081829/	nintendo	2022-01-27 18:55:00
IT	週刊アスキー	Spotify、クリエイター支援を拡充。毎月最大100万円の制作支援金を提供へ	https://weekly.ascii.jp/elem/000/004/081/4081809/	spotify	2022-01-27 18:30:00
IT	週刊アスキー	パナソニック、カルコゲナイドガラスを材料とした遠赤外非球面レンズの量産技術を開発	https://weekly.ascii.jp/elem/000/004/081/4081826/	遠赤外線	2022-01-27 18:30:00
IT	週刊アスキー	スマホRPG『BD ブリリアントライツ』本日配信！シリーズの人気キャラクターがクロスオーバーする最新作	https://weekly.ascii.jp/elem/000/004/081/4081823/	elydefaultbrilliantlights	2022-01-27 18:20:00
IT	週刊アスキー	PC『SDガンダムオペレーションズ』で新春ガンオペ大感謝祭「育成応援5大キャンペーン」を開催中！	https://weekly.ascii.jp/elem/000/004/081/4081811/	開始	2022-01-27 18:10:00