投稿時間:2022-02-14 13:24:00 RSSフィード2022-02-14 13:00 分まとめ(26件)

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TECH	Engadget Japanese	Apple Watch、甲状腺異常の兆しを検査の数カ月前に検知との報告	https://japanese.engadget.com/applewatch-detects-symptomt-hyroid-issues-031614374.html	applewatch	2022-02-14 03:16:14
ROBOT	ロボスタ	ローカル5Gを活用した自動運転バスの公道実証 群馬県前橋市で実施 1名のオペレーターが複数台の自動運転バスを監視 NECらが実施	https://robotstart.info/2022/02/14/self-driving-bus-maebashi-local-5g.html		2022-02-14 03:34:11
ROBOT	ロボスタ	NTT東日本がWi-Fi HaLow「IEEE 802.11ah」でスマート畜産を推進　広域農場でAI動画像解析を行う4つのポイント	https://robotstart.info/2022/02/14/ntte-iot-wifi.html	NTT東日本がWiFiHaLow「IEEEah」でスマート畜産を推進広域農場でAI動画像解析を行うつのポイントシェアツイートはてブ近年の畜産経営は、配合飼料価格や生産資材等の価格の上昇、生産管理を担う労働力不足、後継者確保問題など、経営を取り巻く環境は依然厳しい状況にある。	2022-02-14 03:22:30
IT	ITmedia 総合記事一覧	[ITmedia News] 「HUNTER×HUNTER」に登場する架空のゲーム「軍儀」を商品化　EC専売で	https://www.itmedia.co.jp/news/articles/2202/14/news108.html	hunter	2022-02-14 12:41:00
IT	ITmedia 総合記事一覧	[ITmedia PC USER] JAPANNEXT、144Hz駆動をサポートした27型ゲーミング液晶など3製品	https://www.itmedia.co.jp/pcuser/articles/2202/14/news107.html	itmediapcuserjapannext	2022-02-14 12:38:00
IT	ITmedia 総合記事一覧	[ITmedia News] freee会計に「楽天銀行の明細を取り込む」ボタンを新設　自動連携の停止受け	https://www.itmedia.co.jp/news/articles/2202/14/news106.html	freee	2022-02-14 12:35:00
IT	ITmedia 総合記事一覧	[ITmedia News] オイシックス配送トラブル「高精度な物流システム」が原因　「イレギュラー対応難しく」	https://www.itmedia.co.jp/news/articles/2202/14/news102.html	itmedia	2022-02-14 12:16:00
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 時給は東京並み　沖縄・与那国島にコールセンター、休業中のホテル使い移住者呼び込む	https://www.itmedia.co.jp/business/articles/2202/14/news101.html	itmedia	2022-02-14 12:16:00
python	Pythonタグが付けられた新着投稿 - Qiita	【Project Euler】Problem 86: 直方体の最短経路	https://qiita.com/masa0599/items/70324b1883e57dfbf740	【ProjectEuler】Problem直方体の最短経路本記事はProjectEulerの「番以下の問題の説明は記載可能」という規定に基づいて回答のヒントが書かれていますので、自分である程度考えてみてから読まれることをお勧めします。	2022-02-14 12:26:54
python	Pythonタグが付けられた新着投稿 - Qiita	【Project Euler】Problem 85: 長方形の数	https://qiita.com/masa0599/items/3d937ec7c00709891d16	問題長方形の数原文ProblemCountingrectangles問題の要約長方形の格子に置ける長方形の数を数えたとき、その数ととの差が最小になるような長方形の格子の面積を求めよこのxの例では置ける長方形の数は合計となります。	2022-02-14 12:17:04
海外TECH	DEV Community	Using Microsoft Power BI with the AWS Cloud | AWS White Paper Summary	https://dev.to/awsmenacommunity/using-microsoft-power-bi-with-the-aws-cloud-aws-white-paper-summary-c44	Using Microsoft Power BI with the AWS Cloud AWS White Paper SummaryThis whitepaper discusses how to integrate and use Microsoft Power BI Desktop Report Server Service and on premises data gateway with the Amazon Web Services AWS Cloud It presents options for customers looking to connect Microsoft Power BI products to AWS Services such as Amazon Redshift Amazon Athena Amazon RDS Amazon OpenSearch and AWS Lake Formation with a focus on connectivity security performance and cost optimization This whitepaper is for IT decision makers and architects looking to quickly understand Microsoft Power BI concepts and what options exist to make use of those technologies when using AWS Services as data sources IntroductionCustomers with businesses off all sizes are using AWS products and services to store their data reliably cost effectively and securely This is due in part to the broad ecosystem of mature data storage and analytics offerings that are available Some of these offerings include the following services Amazon Simple Storage Service Amazon S provides a simple scalable secure and cost effective data repository It has become an industry standard for storing application data as well as a first choice for customer data lakes Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S using standard SQL Amazon Relational Database Service Amazon RDS makes it easy to set up operate and scale a relational database in the cloud It provides cost efficient and resizable capacity while automating time consuming administration tasks such as hardware provisioning database setup patching and backups SQL Server Oracle Database MySQL MariaDB and PostgreSQL engines are available Amazon Redshift is fully managed massively scalable data warehouse that makes it easy to analyze both structured and unstructured datasets Amazon QuickSight is a fast cloud powered business intelligence service that makes it easy to deliver insights to everyone in your organization Amazon OpenSearch successor to Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy secure and run Elasticsearch cost effectively and at scale AWS Lake Formation is a service that makes it easy to set up a secure data lake in days To better understand how services relate to one another we often label data services as either being data sources or data consumers A data source allows customers and applications to store and retrieve data from the service Frequently data sources also have built in compute and can provide computational analysis and filtering But ultimately data is loaded into these data sources and eventually data is retrieved from them by data consumers Amazon S Amazon Athena and Amazon Redshift are good examples of data sources Data consumers on the other hand access the data from data sources and typically process it They might optionally display it too Amazon QuickSight and the Microsoft Power BI suite are good examples of data consumers They read from data sources and then assist in the analysis visualization and publication of information AWS gives customers full flexibility in mixing the technologies they prefer for their data needs While many customers choose Amazon QuickSight for their business intelligence BI needs other customers choose vendors such as Microsoft Power BI Tableau and Qlik This document focuses on the Microsoft Power BI suite of products and services and how to use them in combination with AWS Services The Microsoft Power BI suiteTo reduce confusion due to product naming similarities this whitepaper presents what each Microsoft Power BI product and service is Power BI DesktopPower BI Desktop is a free application you install on your local computer It lets you connect to transform and visualize your data With Power BI Desktop you can connect to multiple different sources of data and combine them often called modeling into a data model This data model lets you build visuals and collections of visuals you can share as reports with other people inside your organization Power BI Desktop can connect to any supported data source that is available locally or over the network For supported data sources see the Appendix Microsoft Power BI supported AWS data sources Most users who work on business intelligence projects use Power BI Desktop to create reports Then they push content to either Power BI Report Server or the Power BI service in order to share their reports with others The act of pushing content from Power BI Desktop to the Power BI Report Server or the Power BI service is known as publishing For more information see What is Power BI Desktop Note Power BI Desktop is a Windows only application It is not available for Linux macOS or other operating systems Power BI ServicePower BI is a collection of software services apps and connectors that work together to help you create share and consume business insights in a way that serves you and your business most effectively The Power BI service sometimes referred to as Power BI online is the software as a service SaaS part of Power BI For more information see What is the Power BI service The Power BI service is a cloud based service It supports light report editing and collaboration for teams and organizations You can connect to data sources in the Power BI service too but modeling is limited Most report designers who work on business intelligence projects use Power BI Desktop to create reports and then use the Power BI service to distribute their reports with others For additional information on this crucial component refer to Connecting the Microsoft Power BI service to AWS data sources Power BI Report ServerPower BI Report Server is a private report server with a web portal in which you display and manage reports and KPIs Customers use Power BI Report Server in cases where they do not want their reports published to the Power BI service Although it was originally intended for on premises environments the Power BI Report Server can run on AWS as well For additional information refer to Using Microsoft Power BI Report Server in AWS On premises data gatewayThe Microsoft on premises data gateway is a commonly deployed component that can increase the security and performance of Power BI deployments It allows the Power BI service to access privatized data sources which are located in another facility and accessible by internal network connectivity between the data source and the data gateway Although it is typically installed as a server component you can also install a personal mode on your local computer as an application This whitepaper focuses only on the standard server mode For additional information refer to Connecting the Microsoft Power BI service to AWS data sources Connecting Microsoft Power BI Desktop to AWS data sourcesMost often customers who start with Microsoft Power BI Desktop are interested in how they can connect to AWS data sources from their on premises computers and network The desktop application is typically running on their local Windows laptop and physical and logical connectivity to AWS data sources are the biggest perceived barriers to entry However another option exists which is to run the Microsoft Power BI Desktop in the AWS Cloud This option significantly reduces connectivity barriers to AWS data sources but also requires some additional considerations Both models are discussed in this section We examine the implications of each in relation to connectivity security performance and costs so that you can decide which option is best for you The options presented in this section illustrate Amazon RDS Amazon Redshift and Amazon Athena For a full discussion of all AWS data sources refer to Appendix Microsoft Power BI supported AWS data sources Using Power BI Desktop on premisesIf you plan on using Power BI desktop on premises with data sources are that stored within the AWS Cloud Power BI can access these sources in one of three ways Connecting to data sources using the internet Connecting to data sources using AWS Virtual Private Network AWS AWS VPN Connecting to data sources using AWS Direct Connect Details about Each method can be found here Using Microsoft Power BI Desktop in the AWS CloudUsing the Microsoft Power BI Desktop in the AWS Cloud is a popular solution for many of the challenges described in the previous section In this model customers host the Microsoft Power BI Desktop in the AWS Cloud and then access it remotely on premises The following diagram shows an example Microsoft Power BI Desktop deployed in the AWS CloudAlthough the diagram depicts user connectivity to the desktop occurring through the internet AWS VPN and Direct Connect are both valid connection types too Because only graphical management traffic is transmitted the bandwidth requirements are well suited for typical internet connections In this model the Microsoft Power BI Desktop is hosted within the Amazon VPC in a public subnet and has direct network connectivity to data sources with private IP addresses such as Amazon RDS and Amazon Redshift You can connect to Amazon Athena and other regional services by using a VPC endpoint connection as the destination pictured in the diagram or by using the regional public service endpoint More Details can be found here Summary of Microsoft Power BI Desktop connectivity optionsFor a small number of users with light dataset requirements running Microsoft Power BI Desktop on premises and connecting securely over the internet or using AWS VPN might be an adequate solution Make sure that security is configured and maintained in this model We also recommend testing this configuration to determine if it meets users performance expectationsAs the number of users increase we recommend that you consider connectivity through AWS Direct Connect Direct Connect provides a better user experience when loading larger datasets Make sure that users are aware of the cost implications of transferring large datasets We recommend that you evaluate running Microsoft Power BI Desktop in the AWS Cloud This is likely to provide both the best performance experience for the end user and the best management experience for cloud administrators Amazon WorkSpaces in particular can scale from a small number of users to thousands of users These Services also provide significant security and management benefits Connecting the Microsoft Power BI service to AWS data sourcesMicrosoft Power BI service SaaS can be connected directly to internet accessible data sources or to private data sources in an Amazon VPC Connection to private data sources requires an application component called Microsoft on premises data gateway The Microsoft on premises data gateway is downloaded and installed on an Amazon EC instance in the VPC and configured with Microsoft Power BI credentials The gateway establishes an outbound connection to the Microsoft Azure Service Bus over the internet and is configured in Microsoft Power BI to connect to data sources that it can access Larger deployments can use multiple on premises data gateways to balance load or increase fault tolerance More Details can be found here Using Microsoft Power BI Report Server in AWSMicrosoft Power BI Report Server provides a private report server that Microsoft Power BI Desktop users can publish reports to and then share with a wider audience Although it has traditionally been deployed on premises Microsoft Power BI Report Server can reside within the AWS Cloud as well This enables you to avoid hosting it in your data center while still making it accessible to both Microsoft Power BI Desktop users and the audience that needs to view published reports More Details can be found here Using Amazon QuickSightCustomers considering using the Microsoft Power BI Suite with AWS are encouraged to evaluate Amazon QuickSight as an alternative This fully managed cloud service natively connects to data sources in AWS reducing the complexity and cost when compared to other BI solutions How Amazon QuickSight worksWhen compared to other BI solutions Amazon QuickSight has the following benefits With Amazon QuickSight there s no need to download and install a client application All functionality including authoring and reporting can be accessed from any platform Windows Mac Linux and so forth by a web browser Amazon QuickSight is delivered as a fully managed cloud native SaaS application and is simple to build and deploy dashboards to production The service is serverless which means that you do not need to calculate how many nodes and servers you need to support your users QuickSight also takes full advantage of high availability features provided by AWS for resiliency It s easy to get started in small or large settings with the ability to add users from a point and click interface within QuickSight No external administrator intervention needed Amazon QuickSight is powered by Super fast Parallel In memory Calculation Engine SPICE for a fast response time in the milliseconds and interactive visualizations Datasets can currently scale up to GB Amazon QuickSight pricing is simple inexpensive and has two components report authors and report readers Report authors who create and publish interactive dashboards are priced per user If users do not log in during a given month there are no charges for those users Report readers are charged per minute session with a maximum of per reader per month A free trial allows you to evaluate Amazon QuickSight without any charges For more information see Amazon QuickSight Pricing ConclusionIf you re looking to use Microsoft Power BI Desktop we generally find that customers start experimenting with the software on premises connecting to data sources over the internet While private connectivity options exist for using AWS VPN and Direct Connect many customers have concluded that running Microsoft Power BI Desktop in Amazon WorkSpaces provides a better performing experience If you want to connect data sources in AWS to Microsoft Power BI Service you should feel comfortable knowing that this is an established architectural pattern You can install the Microsoft on premises data gateway within an Amazon VPC and connect data sources such as Amazon RDS Amazon Redshift Amazon Athena Amazon OpenSearch and AWS Lake Formation seamlessly to the service If you plan on using Microsoft Power BI Report Server in AWS there is also an established path forward You can install the Microsoft Power BI Report Server within an Amazon VPC close to AWS data sources and there are connectivity options for both authors and report users If you want a solution that provides the same business outcomes without the added complexity of installing configuring patching and scaling self managed BI solutions we recommend Amazon QuickSight This fully managed service combines all the required functionality in a simple web browser experience with pay per user pricing There is nothing to install and no additional components are required Hopefully this is just the start of your business intelligence journey with AWS For additional resources to help you get started see the Appendix Microsoft Power BI supported AWS data sources ReferenceOriginal paper	2022-02-14 03:54:01
海外TECH	DEV Community	Custom Password Validation in Python (Refactoring the function for password validation)	https://dev.to/otumianempire/custom-password-validation-in-python-refactoring-the-function-for-password-validation-2i95	Custom Password Validation in Python Refactoring the function for password validation These posts will be in three parts Function for password validationRefactoring the function for password validationUnit test the function for password validationThis is the second part of the Custom Password Validation in Python series In this post we will be looking at Refactoring the function for password validation There are parts of the code that needs a little touch here and there Here are a few things I think we can modify or improve This snippet below was the final implementation we had Custom Password Validation in Python Function for password validation Otu Michael・Feb ・ min read python beginners tutorial programming from string import punctuation whitespace digits ascii lowercase ascii uppercase def is valid password password new password password strip MIN SIZE MAX SIZE password size len new password if password size lt MIN SIZE or password size gt MAX SIZE return False valid chars amp invalid chars set punctuation whitespace valid chars for char in invalid chars if char in new password return False password has digit False for char in password if char in digits password has digit True break if not password has digit return False password has lowercase False for char in password if char in ascii lowercase password has lowercase True break if not password has lowercase return False password has uppercase False for char in password if char in ascii uppercase password has uppercase True break if not password has uppercase return False return True RefactoringThe password parameter what is its type When I hovered on it in vscode it said Any We expect a string password and not Any What do we do then Adding type annotation solves the parameter type issue it contributes to the documentation I thought of passing a default value to the parameter when no argument is passed to the function def is valid password password str gt bool What happens when no argument is passed The part of the code that checks for the MIN SIZE and MAX SIZE will take care of not passing an argument by returning False We can return False when an argument is not passed def is valid password password str gt bool if not password return False Consider the snippet below password has something Falsefor char in password if char in somethings password has something True breakif not password has something return FalseSnippets like this have appeared several times We can create a function for this snippet The issue is that there is another similar snippet for char in invalid chars if char in new password return FalseIf we can change this snippet to look and feel like the others then the same function would work for this snippet too password has invalid chars Falsefor char in new password if char in invalid chars password has invalid chars True breakif password has invalid chars return FalseIn python we can create a function inside a function This function becomes local to the function it is within The problem would be that we can not test the local function directly For the sake of testing we put all functions outside the is valid password function def contains character password str sack str gt bool has char False for char in password if char in sack has char True break return has charLet s update those parts of the is valid password function Now snippets like this password has something Falsefor char in password if char in somethings password has something True breakif not password has something return FalseWill become if not contains character password somethings return FalseThis is will different though for the invalid characters invalid chars When there is an invalid character return False So when the function returns True return False It seems we can abstract password size lt MIN SIZE or password size gt MAX SIZE password size lt MIN SIZE or password siz gt MAX SIZE makes use of MIN SIZE and MAX SIZE Do we pass them as arguments No I think we shouldn t We should rather make them local to the new function Let s create this function is valid size def is valid size password str gt bool MIN SIZE MAX SIZE password size len password return password size lt MIN SIZE or password size gt MAX SIZEThis will return True if password size lt MIN SIZE and also when password size gt MAX SIZE The value we expect from this is False That is our true success That is when the password is in the desired range We should write functions that return True on success and False on failure So our new function will be better if we return password size gt MIN SIZE and password size lt MAX SIZE It is the same as MIN SIZE lt password size lt MAX SIZE The new function becomes def is valid size password str gt bool MIN SIZE MAX SIZE password size len password return MIN SIZE lt password size lt MAX SIZEWe can also let a function call return the invalid characters The invalid characters are string but we have a set I made valid chars a set so that I don t have to cast it to a set before using it valid chars amp invalid chars set punctuation whitespace valid charsWe d convert the above snippet in def get invalid chars valid chars amp invalid chars set punctuation whitespace valid chars return join invalid chars We would then update the function with the changes made What if the user or the data received is not a string What if it is a list or set or even an int The best way is to use the try and except clause We can return False on all Exceptions The Final CodeThis is what we have laboured towards from string import ascii lowercase ascii uppercase digits punctuation whitespace def contains character password str sack str gt bool has char False for char in password if char in sack has char True break return has chardef is valid size password str gt bool MIN SIZE MAX SIZE password size len password return MIN SIZE lt password size lt MAX SIZEdef get invalid chars valid chars amp invalid chars set punctuation whitespace valid chars return join invalid chars def is valid password password str gt bool try if not password return False new password password strip if not is valid size new password return False invalid chars get invalid chars if contains character new password invalid chars return False if not contains character new password digits return False if not contains character new password ascii lowercase return False if not contains character new password ascii uppercase return False return True except return False ConclusionWe can still make changes when we are writing tests We should have written the test first but you know The next post will be on Unit test the function for password validation There is more refactoring to do	2022-02-14 03:52:39
海外TECH	DEV Community	Does Solidity optimizer avoid changing storage variables?	https://dev.to/tumf/does-solidity-optimizer-avoid-changing-storage-variables-5h9h	Does Solidity optimizer avoid changing storage variables The original Post is here in JapaneseIn developing smart contracts on the blockchain it is important to reduce the cost of execution which is the cost of gas There are several famous tricks to reduce Gas consumption one of which is Avoid changing storage data storage data For example the UniswapV smart contract has the gas savings trick all over it like this I m always careful about this when I write or review smart contracts but the other day I suddenly thought This is such a classic trick isn t it already solved by Solidity s optimizer So I tested it with the latest Solidity compiler Tested Smart ContractsI created a Hardhat project and wrote the following smart contract complete source code counter is the non gas optimized code counter is the gas optimized code The difference is that the Storage variable counter is copied to the local variable memory j and the result of counting in j is returned to counter Test codeThe code for gas consumption measurement is as follows Measure the gas consumptionI use the useful Hardhat plugin hardhat gas reporter to measure the gas bill Installation is as follows yarn add dev hardhat gas reporterAdd require hardhat gas reporter to the beginning of hardhat confg js asFor configuration add gasReporter to hardhat confg js If you set the API key of Coinmarketcap to the environment variable CMC API KEY here the cost in USD will be reported module exports gasReporter currency USD gasPrice coinmarketcap process env CMC API KEY VerificationNow that we re ready let s get started with the verification First let s run it without using Solidity s optimizer npx hardhat testThe result looks like this disable Solidity optimizerwithout code optimization counter with code optimization counter It seems that gas is reduced by about which is almost as expected Next let s turn on Solidity s optimizer runs The result is as follows enable Solidity optimizerwithout code optimization counter with code optimization counter Both with and without Solidity s optimizer there is a large gas saving but the effect of code optimization is still significant ConclusionIt turns out that the gas saving trick of avoid changing storage variables still works even with the latest Solidity optimizer enabled We should continue to be careful about changing storage variables	2022-02-14 03:12:35
海外ニュース	Japan Times latest articles	Ukraine crisis won’t take Washington’s eyes off North Korea, top U.S. diplomat says	https://www.japantimes.co.jp/news/2022/02/14/asia-pacific/politics-diplomacy-asia-pacific/us-japan-korea-trilateral-meeting/	Ukraine crisis won t take Washington s eyes off North Korea top U S diplomat saysU S Secretary of State Antony Blinken has hinted that Pyongyang could continue to test weapons including a possible long range missile amid fears of a Russian	2022-02-14 12:43:56
海外ニュース	Japan Times latest articles	Under COVID curbs, Singapore and Hong Kong miss out on global travel rebound	https://www.japantimes.co.jp/news/2022/02/14/business/singapore-hong-kong-travel/	Under COVID curbs Singapore and Hong Kong miss out on global travel reboundThe marquee transit hubs of Hong Kong and Singapore are being shunned as travelers seek to avoid weeks in hotel isolation on arrival or a	2022-02-14 12:36:55
海外ニュース	Japan Times latest articles	Erin Jackson hopeful historic speedskating gold inspires other minorities to take up winter sports	https://www.japantimes.co.jp/sports/2022/02/14/olympics/winter-olympics/olympics-speedskating/jackson-historic-gold/	Erin Jackson hopeful historic speedskating gold inspires other minorities to take up winter sports Hopefully we can see more minorities especially in the USA getting out and trying some of these winter sports and I just hope to be	2022-02-14 12:31:28
海外ニュース	Japan Times latest articles	Rams edge Bengals to win Super Bowl	https://www.japantimes.co.jp/sports/2022/02/14/more-sports/football/rams-win-super-bowl/	franchise	2022-02-14 12:20:49
ニュース	BBC News - Home	Super Bowl 2022: Rams hold nerve to claim late 23-20 win over Bengals	https://www.bbc.co.uk/sport/american-football/60370985?at_medium=RSS&at_campaign=KARANGA	bengals	2022-02-14 03:30:23
ニュース	BBC News - Home	Ortiz 'nailed with beer can' after ace as Scheffler wins first PGA Tour title	https://www.bbc.co.uk/sport/golf/60371545?at_medium=RSS&at_campaign=KARANGA	Ortiz x nailed with beer can x after ace as Scheffler wins first PGA Tour titleCarlos Ortiz says he was nailed pretty hard with a beer can after hitting a hole in one as Scottie Scheffler won his first PGA Tour title on Sunday	2022-02-14 03:22:44
北海道	北海道新聞	生け花、全国最優秀　札国際大・細川さん　コロナ下「元気」表現	https://www.hokkaido-np.co.jp/article/644496/	人文学部	2022-02-14 12:20:13
IT	週刊アスキー	ついにカップヌードル「チリトマト」が冷凍炒飯に 定番4味が揃う	https://weekly.ascii.jp/elem/000/004/083/4083339/	冷凍食品	2022-02-14 12:50:00
IT	週刊アスキー	宅配すし「銀のさら」創業祭!! 99円の特売ネタ、ポイント20倍キャンペーンも！	https://weekly.ascii.jp/elem/000/004/083/4083332/	宅配寿司	2022-02-14 12:20:00
IT	週刊アスキー	214の加盟店が参加！　「元町チャーミングセール 2022春」2月22日から開催	https://weekly.ascii.jp/elem/000/004/083/4083305/	協同組合	2022-02-14 12:10:00
海外TECH	reddit	Post Game Thread: Los Angeles Rams (12-5) at Cincinnati Bengals (10-7)	https://www.reddit.com/r/nfl/comments/ss06sk/post_game_thread_los_angeles_rams_125_at/	Post Game Thread Los Angeles Rams at Cincinnati Bengals Los Angeles Rams at Cincinnati Bengals SoFi Stadium Inglewood California First Second Third Fourth Final Bengals Rams General information Coverage Odds NBC TELEMUNDO PEACOCK Cincinnati O U Thread Notes Message The Moderators Discuss whatever you wish You can trash talk but keep it civil If you are experiencing problems with comment sorting in the official reddit app we suggest using a third party client instead Android iOS Turning comment sort to new will help you see the newest comments Try Tab Auto Refresh to auto refresh this tab Use reddit stream com to get an autorefreshing version of this page Check in on the r nfl chat rnfl on Libera open in browser Show your team affiliation pick your team s logo in the sidebar submitted by u nfl gamethread to r nfl link comments	2022-02-14 03:04:17
ニュース	THE BRIDGE	Binance（幣安）、Forbesに2億米ドル出資へ	https://thebridge.jp/2022/02/binance-pour-200m-forbes	Binance幣安、Forbesに億米ドル出資へTechinAsiaでは、有料購読サービスを提供。	2022-02-14 03:01:56
ニュース	THE BRIDGE	國光氏やDJT上野氏ら、ゲーム特化ブロックチェーン「Oasys」をローンチ——バンナムやセガ役員も参画	https://thebridge.jp/2022/02/oasys-gamingfocused-blockchain-network-official	國光氏やDJT上野氏ら、ゲーム特化ブロックチェーン「Oasys」をローンチーバンナムやセガ役員も参画TechinAsiaでは、有料購読サービスを提供。	2022-02-14 03:00:54