投稿時間:2023-04-08 04:16:02 RSSフィード2023-04-08 04:00 分まとめ(23件)

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AWS	AWS - Webinar Channel	Increase accuracy with Amazon Rekognition Content Moderation Version 6	https://www.youtube.com/watch?v=UTKaWwNvfdI	Increase accuracy with Amazon Rekognition Content Moderation Version In today s digital age content moderation is becoming increasingly important for businesses to maintain a safe and compliant online environment for their customers In this webinar Kevin Carlson Principal Specialist AWS AI ML and Shipra Kanoria Principal Product Manager Amazon Rekognition will introduce you to Amazon Rekognition and the newly released Content Moderation version for automating and streamlining your content moderation workflows You will learn about the benefits and capabilities of Amazon Rekognition s Content Moderation API including its fully managed APIs customizable moderation rules and the new capabilities of version These include accuracy updates for violence and weapon detection and lower false positives Join us to learn how you can use AWS Content Moderation and Amazon Rekognition to keep your business compliant and your users safe Learning Objectives Objective Learn about the benefits and capabilities of Amazon Rekognition s Content Moderation API Objective Learn the new capabilities and accuracy improvements in Amazon Rekognition version Objective Learn more about how to get started To learn more about the services featured in this talk please visit loc amp dn To download a copy of the slide deck from this webinar visit	2023-04-07 18:02:55
Linux	Ubuntuタグが付けられた新着投稿 - Qiita	UbuntuでmDNSを有効化する	https://qiita.com/Galvalume29/items/80a9ba42012a80e86bca	dnsdomainnamesystem	2023-04-08 03:12:05
海外TECH	DEV Community	How Change Data Capture (CDC) Works with Streaming Database	https://dev.to/bobur/how-change-data-capture-cdc-works-with-streaming-database-5elp	How Change Data Capture CDC Works with Streaming Database Efficiently capture databases changes with a streaming databaseStreaming Change Data Capture CDC is a data integration approach that has become increasingly popular in recent years Streaming CDC is a technique that enables organizations to capture and transmit real time data changes in data sources like SQL NoSQL databases and sent them to a target system such as a data warehouse or analytics platform where they can be used to generate insights and drive business decisions Streaming CDC can be particularly useful for organizations that need to react quickly to changing market conditions or customer needs In this post we will explore how CDC works with streaming databases and the benefits this integration provides You will also learn how to analyze data captured from MySQL with RisingWave RisingWave is an open source streaming database that has built in fully managed CDC source connectors for MySQL and PostgreSQL and it allows you to query real time streams using SQL You can get a materialized view that is always up to date Learning objectivesBy the end of this article you will learn What is Change Data Capture CDC CDC use cases Why use CDC with Streaming Database How to Ingest CDC data from MySQL using RisingWave connector What is Change Data Capture Change Data Capture is a technique used to capture and propagate changes made to a database such as MySQL Microsoft SQL Oracle PostgreSQL MongoDB or Cassandra CDC works by continuously monitoring the database for any changes made to the data Multiple types of change data capture patterns can be used for data processing from a database These include log based CDC trigger based CDC CDC based on timestamps and difference based CDC When you make operations like INSERT  UPDATE or DELETE against a database a change is detected and CDC captures the change and records it in a transaction log The captured changes are then transformed into a format that can be consumed in real time by downstream systems The downstream systems can be a search index cache stream analytics applications messaging queues or data warehouse For example you can capture the changes in a database and continually apply the same changes to a search index If the log of changes is applied in the same order you can expect the data in the search index to match the data in the database The search index and any other derived data systems are just consumers of the change stream as its shown in the diagram below Change Data Capture use casesThere are several use cases for streaming CDC where it shines As we understood CDC can detect changes to the database table as soon as any of the following operations INSERT  UPDATE or DELETE is made It opens doors for us to process real time analytics on data CDC is commonly used for data synchronization between different data sources For example it can be used to synchronize on premises data to the cloud or if an organization has multiple databases that need to be kept in sync CDC can continuously capture and propagate changes between them It can be used for database replication across different environments such as from production to a staging environment This ensures that the data in the staging environment is always up to date and consistent with the production environment Nowadays many organizations are adopting event driven architectures by implementing small microservices or a Function as Service FaaS that responds to specific changes in the system In such cases streaming CDC can help microservices communicate with each other by enabling real time data sharing Change Data Capture with Streaming DatabaseA streaming database is a type of database that is designed to handle continuous data streams in real time and makes it possible to query this data You can read more about how a Streaming database differs from a Traditional database and how to choose the right streaming database in my other blog posts CDC is particularly useful when working with streaming databases you can ingest CDC data from directly databases See an example in the next section without setting up additional services like Kafka If you re already using Debezium to extract CDC logs into Kafka you can just set up RisingWave to consume changes from that Kafka topic In this case Kafka acts like a hub of CDC data and beside RisingWave other downstream systems like search index or data warehouses can consume changes as well Also the streaming database enables downstream systems to stay in sync with the source database and have access to the latest changes made to the data using simple SQL queries With the help of a streaming database you can denormalize CDC data via a materialized view where the results of a query lookup data are stored in the streaming database s local cache to improve performance Also you can query that data from BI and data analytic platforms Streaming databases can extract data in real time from different sources at the same time and merge and sink data to MySQL using a JDBC connector Ingest CDC data from MySQL using the RisingWave connectorSuppose you are working for an e commerce company that receives a large volume of orders every day To ensure the timely fulfillment of these orders you need to process them in real time as they come in To do this you decide to use a streaming database such as RisingWave that can capture changes to the order data stored in MySQL DB using its native MySQL CDC connector This way you can read the order data from the database as soon as it s available and process it in real time to ensure fast and efficient order fulfillment With RisingWave s MySQL CDC connector RisingWave can connect to MySQL directly to obtain data from its binary log binlog without other stream processing services and manage real time a materialized view on top of CDC data This demo leverages the following GitHub repository where we assume that all necessary things are set up using Docker compose It will start multiple containers including MySQL with pre populated inputs You can see here what are the additional components in this Docker configuration Before You BeginEnsure you have Docker and Docker Compose installed in your environment Clone the GitHub repository and run containers with docker compose up Before using the native MySQL CDC connector in RisingWave you need to complete several configurations on MySQL See the Set up MySQL section for more details We are going to use the PostgreSQL interactive terminal psql for running queries and retrieving results from RisingWave Open your CLI and run the following command to use the PostgreSQL developer tool psql h localhost p d dev U root Create a Source Table in RisingWaveFor RisingWave to ingest CDC data from MySQL you must create a table CREATE TABLE with primary keys and connector settings create table orders order id int order date bigint customer name varchar price decimal product id int order status smallint PRIMARY KEY order id with connector mysql cdc hostname mysql port username root password database name mydb table name orders server id Create a materialized viewLet s assume that we want to calculate the total number of products ordered up to now Now you can think “We can achieve the same even without using a CDC and streaming database Well you can do so if the Order dataset is static it doesn t change frequently and it is in small size But in reality there will be many orders the data changes so frequently and real time access to this data is required CDC detects newly entered orders quickly and will update target systems with the latest data in near real time Then the streaming database takes these changes made to the source table and stores them in a locally cached table called orders respectively This way CDC data will be persisted in RisingWave for further analysis in real time with the materialized views Any materialized view defined on top of this source will be incrementally updated and product count will be calculated behind the scene as new change arrives from CDC Now you have the idea of using the CDC streaming database and materialized view to deal with fast changing and rapidly growing orders data We can use the following SQL query to create a new materialized view for the product count CREATE MATERIALIZED VIEW product count ASSELECT product id COUNT as product countFROM ordersGROUP BY product id Run a query on the CDC materialized viewNow we can run a simple query on the materialized view we created in the previous step to see actual the number of products ordered by limiting the result to rows SELECT FROM product count Then you can see the output retrieved from Risingwave materialized view in its database product id product count It does not end now if you try to insert any new row to MySQL mydb orders table it is immediately reflected on the product count materialized view in RisingWave insert into ordersvalues John New output on product count materialized view in real time product id product count TakeawaysCDC is capable of detecting changes to the database table creating change events and later these events will be consumed in real time by downstream systems The streaming database acts as a stateful stream processor that can materialize the CDC events stream into a table that represents the current state Compared to other relational databases the streaming database uses a special streaming framework instead of using a query engine to compute point in time results A materialized view in a streaming database can be used to easily obtain large amounts and rapidly changing data that are difficult to query directly Related resourceshow to choose the right streaming databaseHow Streaming database differs from a Traditional database Query Real Time Data in Kafka Using SQL Recommended contentIs RisingWave the Right Streaming Database Rethinking Stream Processing and Streaming Databases CommunityJoin the Risingwave Community About the authorVisit my personal blog www iambobur com	2023-04-07 18:50:26
海外TECH	DEV Community	How To Scale Your React Applications	https://dev.to/devland/how-to-scale-your-react-applications-b0a	How To Scale Your React ApplicationsScalability is a crucial factor to consider when developing modern web applications As your application grows you need to ensure that it can handle the increasing number of users data and transactions while maintaining its performance and responsiveness Scaling a front end application in particular requires careful planning and close attention to detail With the rise of single page applications SPAs and the growing complexity of front end architectures developers face significant challenges when it comes to scaling their applications In this article I will explore some best practices to help you scale your frontend applications specifically those built with React efficiently and maintain their performance and responsiveness as they grow Code OrganizationWhen you are working on a small application it is easy to keep all of your code in a few files and folders But as your application grows it becomes harder and harder to keep track of everything That s why it s important to have a plan for organizing your code There are different approaches to organizing your code but two of the most widely used are organizing by feature and organizing by file type Organizing by feature means grouping together all the components styles utilities and logic that are related to a specific feature or user facing functionality of your application For example if you are building an e commerce website you might have a feature for browsing products another feature for adding items to a cart and a third feature for checking out Organizing by file type means grouping together files based on their types such as components styles and utilities Within each type you can further organize files by their purpose For example you might have a folder for header components and another folder for form components Whichever approach you choose the key is to establish clear conventions and guidelines for how code should be organized For example you might decide on a naming convention for files and folders such as using kebab case for file names and PascalCase for component names You might also decide on a file and folder structure that s easy to navigate and understand For instance suppose you are developing a social media platform using React You might decide to organize your code by feature with one feature for user profiles another feature for creating posts and a third feature for commenting on posts Within each feature you can organize your files by types such as components styles and utilities For the user profiles feature you might have a UserProfile component that displays a user s profile information a UserProfileHeader component that displays the user s profile image and header and a UserProfilePosts component that displays the user s posts You might also have a styles folder with CSS files for styling the user profile components and a utils folder with utility functions for working with user data By organizing your code in a consistent and maintainable way you make it easier for other developers to understand and contribute to your codebase Performance optimizationAs your application grows in size and complexity it s important to optimize its performance to ensure that it remains fast Here are some tips for optimizing the performance of your React app Minimize re rendersReact re renders components whenever their props or state change To minimize the number of re renders you can use techniques such as memoization shouldComponentUpdate and PureComponent Memoization involves caching the result of expensive function calls so that they don t need to be re computed every time a component re renders The shouldComponentUpdate method allows you to prevent a component from re rendering if its props or state haven t changed The PureComponent class provides a built in implementation of shouldComponentUpdate that automatically compares props and state for shallow equality Use virtualizationIf your React app has long lists or tables it can be slow to render all the items at once To fix this you can use tricks like windowing and infinite scrolling Windowing means showing only some items at a time depending on where the user is scrolling Infinite scrolling means loading more items as the user scrolls down the list Code splittingCode splitting involves breaking up your code into smaller chunks that can be loaded on demand rather than all at once This can improve the initial load time of your application as well as reduce the amount of JavaScript that needs to be parsed and executed React provides built in support for code splitting through its lazy and Suspense features You can implement these features to defer loading of non essential components and optimize the loading of critical parts of your application I have discussed these features in detail in a previous article Optimizing images and assetsLarge images and other assets can significantly slow down the performance of your React application To optimize them you can use techniques such as compression lazy loading and caching State ManagementManaging state in a growing React application can become challenging Here are some tips for effective state management in your application Use a centralized state management solutionAs your React application grows it becomes difficult to manage state across multiple components One way to solve this problem is by using a centralized state management solution such as Redux or MobX Redux is a popular library for managing application state in React It provides a single store that holds the entire state of the application and a set of rules for how the state can be updated With Redux you can easily share state between components and manage complex state interactions MobX is another state management library for React that uses observable data structures to manage state It provides a more lightweight solution compared to Redux and is especially useful for managing complex state interactions in large applications Use React Context API for simpler state managementIf your React application is relatively small you may not need a full fledged state management library like Redux or MobX In this case you can use React s built in Context API to manage state The Context API allows you to share state between components without having to pass props down through multiple levels of the component tree It s a lightweight solution that s perfect for managing simple state interactions in smaller applications Avoid storing unnecessary data in stateWhen you store unimportant data in your React app s memory state it can make your app slower and more difficult to manage To make your app run faster you should only keep the necessary data in memory For instance if you have a list of items that you re displaying in your component you may not need to store the entire list in state Instead you can store only the currently selected item or the items that have been modified Use immutability to manage state updatesWhen updating state in your React application it s important to ensure that you are not mutating the original state object Instead you should create a new copy of the state object with the updated values Immutability makes it easier to manage state updates and ensures that the updates are performed in a predictable and safe manner Libraries like Immutable js provide a set of functions that simplify working with immutable data in React applications TestingTesting is an essential aspect of scaling every application It helps catch bugs and prevent issues before they reach production To write reliable and scalable code you need to implement testing techniques One way to do this is by writing tests for your React components Tools like Jest and Enzyme make it easy to test your component s behavior rendering output and state changes By writing tests for your components you can ensure that they behave as expected and prevent issues before they reach production Another way to test your React application is to write integration tests These tests help you test how different parts of your application work together Tools like Cypress and React Testing Library can help you simulate user interactions test API responses and verify that your application behaves correctly Continuous Integration and Deployment CI CD Continuous Integration and Deployment CI CD is an essential process for scaling your React application It involves automating the process of building testing and deploying your application making it faster more efficient and less prone to errors Here are several tools and techniques to help you implement CI CD in your React application Use a version control system A version control system like Git allows you to keep track of changes to your codebase and collaborate with your team more effectively Use a continuous integration tool you can automate the building and testing of your application with tools like Jenkins or Travis CIUse a continuous deployment tool A continuous deployment tool like AWS CodeDeploy or Google Cloud Build can automate the process of deploying your application to production ensuring that the latest changes are available to your users Containerization Containerization involves packaging your application and its dependencies into a container It simplifies the deployment process and scales your application across different environments It can be made much simpler with the help of Docker and Kubernetes Code qualityMaintaining high code quality is crucial for scaling every application As your application grows it becomes complex and ensuring that your code is clean maintainable and well structured becomes increasingly important You can ensure code quality in your React application by using the following best practices Follow coding standards Consistently following a set of coding standards can help ensure that your code is easy to read understand and maintain Standards such as the Airbnb JavaScript Style Guide or the Google JavaScript Style Guide can provide a good starting point Use static code analysis tools Static code analysis tools like ESLint or Prettier can help identify issues with your code before they cause problems such as syntax errors or variable naming conflicts Refactor regularly Refactoring involves restructuring your code to make it more efficient maintainable and scalable Regular refactoring can help ensure that your code remains high quality and reduces technical debt SummaryIn this article I have discussed several strategies and best practices for scaling React applications including tips for maintaining code quality optimizing performance managing state testing and more By implementing these techniques you can create scalable and maintainable React applications that can adapt to changing requirements and provide a great user experience over time THANK YOU FOR READING I hope you found this little article helpful Please share it with your friends and colleagues Sharing is caring Connect with me on Twitter or LinkedIn to read more about JavaScript React Node js and more… Want to work together Contact me on Upwork	2023-04-07 18:43:05
海外TECH	DEV Community	The Software Bug Diplomacy: Fun Story	https://dev.to/zubairanwarkhan/the-software-bug-diplomacy-fun-story-1o3m	The Software Bug Diplomacy Fun StoryDid you know Australia once recalled its almost entire embassy staff back from Russia ️Not because of any diplomatic issues but because of a software issue The year was There was a lot of panic and fear because of the YK bug 🪲It was being speculated that the world would come to a stand still The computers will break the systems will stop running and so on The major fear was for thebanking system nuclear plants ️airlines industry ️andcommunication systems If you are not aware the problem of the YK bug was During early development of computer systems memory space was super costly The scientists wanted the most efficient use of the available memory One of the method they used was For the Date amp Time system they used the last two digits of the year instead of total four digits ️So they entered instead of But when the year approached Many feared that after PM on st December the computer will increment the year by and That means will become And that can be interpreted as instead of If that happened then of course the fear was real Makes sense Keep reading The entire world went crazy The US the UK Australia and others invested huge sums of money to fix the issue The solution to the problem was fairly simple though but more on that later But some countries like Italy South Korea Russia didn t invest much to fix the issue 🪫Due to the fear of transportation system collapse and the unavailability communication system Australia called its almost entire Russian embassy staff back at homeBut there was a twist It came out that the YK bug was not a major problemAll it needed was memory space be increased to occupy four places instead of two 🤌Apart for some minor issues worldwide no major systems were affected As a software developer many a times a solution to a complex problem is fairly simple Just take a break and come back at it again And approach it from a different perspective If you happen to be working on a side idea do check my previous post	2023-04-07 18:30:00
海外TECH	Engadget	Twitter blocks interactions on tweets with Substack links	https://www.engadget.com/twitter-blocks-interactions-on-tweets-with-substack-links-185548573.html?src=rss	Twitter blocks interactions on tweets with Substack linksSubstack users woke to a strange surprise today when trying to share links on Twitter finding an error message when interacting with any tweet featuring a Substack link Tweets with an outgoing link to Substack cannot be retweeted replied to or even liked The error message states that “some actions on this tweet have been disabled by Twitter The loss in functionality even extends to tools like TweetDeck I can t even reply to my own Tweet if it s got a Substack link in it pic twitter com LLaQuFksmMーAdam Bienkov AdamBienkov April You can still tweet out Substack links but that is where engagement ends This could be a garden variety error but it could be a response by Musk and Twitter to Substack s recently announced Twitter esque Notes feature After all Twitter is no stranger to silencing rivals both real and imagined The social network briefly placed restrictions on tweets with outgoing links to Mastodon Facebook Instagram and Truth Social even outlawing outgoing links to other social media profiles in bios Musk has also experimented with banning journalists who cover Twitter and made other questionable decisions for a self proclaimed free speech absolutist The founders of Substack issued a response to the move and it certainly seems like they believe the restrictions were instituted on purpose and not part of a system error “We re disappointed that Twitter has chosen to restrict writers ability to share their work Writers deserve the freedom to share links to Substack or anywhere else This abrupt change is a reminder of why writers deserve a model that puts them in charge the founders wrote There is another option beyond spite or a system error It is possible Substack ran afoul of Twitter s recently announced API pricing scheme The sheer number of links to Substack content from users would force the company to invest in the Enterprise level API at a month If Substalk balked about these costs and Twitter caught wind of it this could be another New York Times checkmark situation A statement from our founders Any platform that benefits from writers and creators work but doesn t give them control over their relationships will inevitably wonder how to respond to the platforms that do ーSubstack SubstackInc April Substack says it is currently investigating the newly imposed restrictions and that it will “share updates as additional information becomes available The company shared a blog post in which it expressed hope that these moves were made in error and stated that quot cracks are starting to show in the internet s legacy business models quot We reached out to Substack and will update this post if the situation changes or if functionality is restored This article originally appeared on Engadget at	2023-04-07 18:55:48
海外TECH	CodeProject Latest Articles	Interacting with and Displaying Online Maps	https://www.codeproject.com/Tips/5358534/Interacting-with-and-Displaying-Online-Maps	winui	2023-04-07 18:12:00
海外科学	NYT > Science	E.P.A Lab Helps Plan the Fastest Road to an EV Future	https://www.nytimes.com/2023/04/07/climate/electric-cars-biden-climate.html	E P A Lab Helps Plan the Fastest Road to an EV FutureGovernment scientists have spent a year analyzing electric vehicles to help the E P A design new tailpipe rules to trigger an electric car revolution	2023-04-07 18:10:20
海外科学	NYT > Science	How Bad Was Covid in NYC? Here’s a 200-Year Timeline of Death Rates	https://www.nytimes.com/2023/04/07/nyregion/nyc-covid-deaths.html	How Bad Was Covid in NYC Here s a Year Timeline of Death RatesNew Yorkers life span dropped by years in from the previous year Health officials say it may take the city years to recover	2023-04-07 18:03:34
ニュース	BBC News - Home	Paul Cattermole: S Club 7 star dies aged 46	https://www.bbc.co.uk/news/entertainment-arts-65215283?at_medium=RSS&at_campaign=KARANGA	february	2023-04-07 18:29:45
ニュース	BBC News - Home	Supreme Court's Clarence Thomas defends luxury trips	https://www.bbc.co.uk/news/world-us-canada-65215407?at_medium=RSS&at_campaign=KARANGA	thomas	2023-04-07 18:42:49
ビジネス	ダイヤモンド・オンライン - 新着記事	余計なことで悩まない「無敵のメンタル」を手に入れる方法 - 佐久間宣行のずるい仕事術	https://diamond.jp/articles/-/320242	佐久間宣行	2023-04-08 03:55:00
ビジネス	ダイヤモンド・オンライン - 新着記事	頭のいい上司が「部下を叱る」時、絶対やらないこと - 超完璧な伝え方	https://diamond.jp/articles/-/320961	頭のいい上司が「部下を叱る」時、絶対やらないこと超完璧な伝え方「自分の考えていることが、うまく人に伝えられない」「他人とのコミュニケーションに苦手意識がある」と悩む方は多くいます。	2023-04-08 03:50:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【名医が教える】体脂肪率は健康とどの程度、関係があるのか？ - 糖質制限はやらなくていい	https://diamond.jp/articles/-/318920	【名医が教える】体脂肪率は健康とどの程度、関係があるのか糖質制限はやらなくていい「日食では、どうしても糖質オーバーになる」「やせるためには糖質制限が必要」…。	2023-04-08 03:45:00
ビジネス	ダイヤモンド・オンライン - 新着記事	お金の大切さを理解しつつ、 お金に人間関係を左右されない考え方 - 嫌われる勇気──自己啓発の源流「アドラー」の教え	https://diamond.jp/articles/-/320149	人間関係	2023-04-08 03:40:00
ビジネス	ダイヤモンド・オンライン - 新着記事	口数が少ないのにコミュ力が高い人が言っている「さりげない一言」とは？ - 1秒で答えをつくる力 お笑い芸人が学ぶ「切り返し」のプロになる48の技術	https://diamond.jp/articles/-/320940		2023-04-08 03:35:00
ビジネス	ダイヤモンド・オンライン - 新着記事	東京工業大？ 東京農工大？ 都内の理系国立大の学生に大学生活の本音を聞いてみた - 大学図鑑！2024 有名大学82校のすべてがわかる！	https://diamond.jp/articles/-/320930		2023-04-08 03:30:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【投信業界のご意見番が教える】資産運用を始める前に考えておくべき、たった1つのこと - インフレ・円安からお金を守る最強の投資	https://diamond.jp/articles/-/320660	【投信業界のご意見番が教える】資産運用を始める前に考えておくべき、たったつのことインフレ・円安からお金を守る最強の投資インフレ・円安の時代に入った今、資産を預金だけで持つことはリスクがあり、おすすめできない。	2023-04-08 03:25:00
ビジネス	ダイヤモンド・オンライン - 新着記事	入社1年目にマスターしないとやばい習慣ランキング3位、2位、1位とは？ - 時間最短化、成果最大化の法則	https://diamond.jp/articles/-/320286	入社年目にマスターしないとやばい習慣ランキング位、位、位とは時間最短化、成果最大化の法則シリーズ万部突破「食べチョク」秋元里奈代表が「年に読んだオススメ本選」で『時間最短化、成果最大化の法則』を大絶賛秋元代表が話題のベストセラーを徹底解剖終電ギリギリまで残業しているのに仕事が終わらない人と、必ず定時で帰るのに成績Noの人。	2023-04-08 03:20:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【50代必見】独立後、無収入が続く人とすぐ稼げる人の違い - 40代からは「稼ぎ口」を2つにしなさい	https://diamond.jp/articles/-/320964	新刊『代からは「稼ぎ口」をつにしなさい年収アップと自由が手に入る働き方』では、余すことなく珠玉のメソッドを公開しています。	2023-04-08 03:15:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【まんが】子どもの頃にかけられた「みんな一緒」の呪いを解く方法＜心理カウンセラーが教える＞ - あなたはもう、自分のために生きていい	https://diamond.jp/articles/-/319947	twitter	2023-04-08 03:10:00
ビジネス	ダイヤモンド・オンライン - 新着記事	「すぐに仲直りできる人」は、何という一言で話しかけるのか？ - 99％はバイアス	https://diamond.jp/articles/-/320432	突破	2023-04-08 03:05:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【世界の知性の白熱講義】私たちが持っている「人類への関心」というバイアスとは？ - 超圧縮 地球生物全史	https://diamond.jp/articles/-/320380	「地球の誕生」から「サピエンスの絶滅、生命の絶滅」まで全歴史を一冊に凝縮した『超圧縮地球生物全史』は、その奇跡の物語を描き出す。	2023-04-08 03:03:00