投稿時間:2021-10-08 20:26:35 RSSフィード2021-10-08 20:00 分まとめ(34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	複数のデジタルデバイスを高速ワイヤレス充電。音楽の増幅機能も備えたハイテクシェルフ「HomeBase」	https://japanese.engadget.com/homebase-shelf-105021104.html	複数のデジタルデバイスを高速ワイヤレス充電。	2021-10-08 10:50:21
TECH	Engadget Japanese	＋Style『LEDエジソン電球』発売、WiFiで色温度調整・調光対応	https://japanese.engadget.com/led-edison-smart-bulb-100320367.html	style	2021-10-08 10:03:20
TECH	Engadget Japanese	サムスンスマホ内の広告表示、一部地域にて撤去が開始	https://japanese.engadget.com/samsung-one-ui-100036489.html	oneui	2021-10-08 10:00:36
IT	ITmedia 総合記事一覧	[ITmedia News] 「taspo」、2026年3月末で終了へ　使用する通信回線のサービス終了に伴い	https://www.itmedia.co.jp/news/articles/2110/08/news153.html	itmedia	2021-10-08 19:28:00
js	JavaScriptタグが付けられた新着投稿 - Qiita	JavaScriptと黒魔術で演算子オーバーロード(もどき)を実現	https://qiita.com/rpgen3/items/dd7181f3242b2e5b78b7	それをどうにかしてJavaScriptで表現できるようにするのが本稿の目的である。	2021-10-08 19:35:45
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	selenumで画像アップロードするときに二重でアップロードされてしまう。	https://teratail.com/questions/363480?rss=all	selenumで画像アップロードするときに二重でアップロードされてしまう。	2021-10-08 19:50:22
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	carrierwaveで保存した画像をReactで表示する事ができません。	https://teratail.com/questions/363479?rss=all	carrierwaveで保存した画像をReactで表示する事ができません。	2021-10-08 19:48:22
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	pythonでexe化したあと.envを参照できない	https://teratail.com/questions/363478?rss=all	pythonでexe化したあとenvを参照できないMacOSでの話です。	2021-10-08 19:45:26
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	キューを使ったコード	https://teratail.com/questions/363477?rss=all	キューを使ったコードに文字を入れるためにaddを使っていれようとしているのですが、実行してもになにも値が入りません。	2021-10-08 19:41:32
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	C言語のarrayを２つの部分に分けて考えたい	https://teratail.com/questions/363476?rss=all	C言語のarrayをつの部分に分けて考えたい前提・実現したいことC言語の勉強を始めたのですが、この問題で詰まってしまいました。	2021-10-08 19:35:35
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Vagrant + VirtualBox　仮想環境のワークスペースの未設定という表記について	https://teratail.com/questions/363475?rss=all	VagrantVirtualBox仮想環境のワークスペースの未設定という表記についてVagrantやVirtualBoxをダウンロードしたころから気になっていたのですが上記の画像にもあるように、一番上の未設定ワークスペースというこの表記は一体どういう状態なのですか設定しないとどうなるのですかそういえば仮想環境の電源を一度オフにして起動し、SSH接続するたびに、bundleやgemのコマンドが使えなくなり、sourcenbspbashprofileと打てばそれらのコマンドが使えるようになるためそのたびにsourcenbspbashprofileと打っていました。	2021-10-08 19:22:43
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	rails db:migrateでエラー	https://teratail.com/questions/363474?rss=all	railsdbmigrateでエラーrailsnbspdbmigratenbspを行うとエラーが出て困っています。	2021-10-08 19:02:36
Ruby	Railsタグが付けられた新着投稿 - Qiita	【Rails×Vue】Error: Can't resolve '@smartweb/vue-flash-message' の解決	https://qiita.com/Yuya-hs/items/ca8778e27a1ac33f9088	smartwebvueflashmessagevnextnpmismartwebvueflashmessagenext開発環境で問題なく動作したためherokuにデプロイしようとしたところ次のエラーが発生した。	2021-10-08 19:19:13
技術ブログ	Developers.IO	[小ネタ] VSCodeをバージョンアップしたらターミナルのタブの表示が変わったので戻す設定をした	https://dev.classmethod.jp/articles/202110-vscode-terminal-titlemode-sequence/	lintegratedtabstitle	2021-10-08 10:54:23
海外TECH	Ars Technica	No, your antibodies are not better than vaccination: An explainer	https://arstechnica.com/?p=1802249	immune	2021-10-08 10:15:45
海外TECH	DEV Community	The only cheatsheet you will ever need	https://dev.to/visualway/the-only-cheatsheet-you-will-ever-need-20a	The only cheatsheet you will ever needOk so what is a cheatsheet It is a compilation of important syntax neat tricks data types commonly used library functions So My series The Ultimate Cheatsheets was a pretty big hit on this platform building up to k views in total I guess it really did help people and would like to thank everyone for using it Today I am launching the official product for The Ultimate Cheatsheets ps i could not think of another name Tech StackEleventyMarkdownHTML CSSJavascriptCheck out the website hereWe will add more cheatsheets in future You can also download the pdfs Upvote us on ProductHunt Support us	2021-10-08 10:32:27
海外TECH	DEV Community	ML Best Practices for Public Sector Organizations | AWS White Paper Summary	https://dev.to/awsmenacommunity/ml-best-practices-for-public-sector-organizations-aws-white-paper-summary-4cni	ML Best Practices for Public Sector Organizations AWS White Paper SummaryThis whitepaper outlines some of the challenges for public sector agencies in adoption and implementation of ML And provides best practices to address these challenges The target audience for this whitepaper includes executive leaders and agency IT Directors Challenges for public sectorData Ingestion and Preparation Model Training and Tuning ML Operations MLOps Governance Security amp Compliance Cost Optimization Bias and Explainability Best Practices Data Ingestion and PreparationThe AWS Cloud enables public sector customers to overcome the challenge of connecting to and extracting data from both streaming and batch data as described in the following For streaming data Amazon Kinesis and AWS Managed Streaming for Apache Kafka Amazon MSK enable collection processing and analysis of data in real time Amazon Kinesis provides a suite of capabilities to collect process and analyze real time streaming data Amazon Kinesis Data Streams KDS is a service that enables ingestion of streaming data Producers of data push data directly into a stream which consists of a group of stored data units called records The stored data is available for further processing or storage as part of the data pipeline Ingestion of streaming videos can be done using Amazon Kinesis Video Streams There are a number of mechanisms available for data ingestion in batch format With AWS Database Migration Services AWS DMS you can replicate and ingest existing databases while the source databases remain fully operational The service supports multiple database sources and targets including writing data directly to Amazon S Data PreparationOnce the data is extracted it needs to be transformed and loaded into a data store for feeding into an ML model It needs to be cataloged and organized so that it is available for consumption and needs to enable data lineage for compliance with federal government guidelines AWS Cloud provides three services that provide these mechanisms AWS GLUEAmazon Sagemaker data wranglerAmazon EMR Model Training and TuningIt involves the selection of a ML model that is appropriate for the use case followed by training and tuning of the ML model One of the major challenges facing the public sector is the ability for team members to apply a consistent pattern or framework for working with multitudes of options that exist in this space The AWS Cloud enables public sector customers to overcome challenges in model selection training and tuning as described in the following You can use AWS Sagemaker built in algorithms or your own script script mode Or you can use your own container BYOC MLOpsMLOps is the discipline of integrating ML workloads into release management Continuous Integration Continuous Delivery CI CD and operations One of the major hurdles facing government organizations is the ability to create a repeatable process for deployment that is consistent with their organizational best practices Using ML models in software development makes it difficult to achieve versioning quality control reliability reproducibility explainability and audibility in that process AWS Cloud provides a number of different options that solve these challenges either by building an MLOps pipeline from scratch or by using managed services You can use Amazon Sagemaker pipelines AWS CodePipeline and AWS LambdaFor AWS programmers teams that are already working with CodePipeline for deployment of other workloads an option exists to utilize the same workflows for ML AWS StepFunctions Data Science Software Development Kit SDK It is an open source Python library that allows data scientists to create workflows that process and publish ML models using SageMaker and Step Functions This can be used by teams that are already comfortable using Python and AWS Step Functions The SDK provides the ability to copy workflows experiment with new options and then put the refined workflow in production The SDK can also be used to create and visualize end to end data science workflows that perform tasks such as data pre processing on AWS Glue and model training hyperparameter tuning and endpoint creation on Amazon SageMaker Workflows can be reused in production by exporting AWS CloudFormation infrastructure as code templates AWS MLOps FrameworkThe solution provides a ready made template to upload trained models also referred to as a bring your own model configure the orchestration of the pipeline and monitor the pipeline s operations You can deploy custom ML models on EC or EKS etc Also deploy at the Edge AWS IoT Greengrass Management and GovernanceAWS Cloud provides several services that enable governance and control These include AWS Control Tower License Manager Resource Tagging AWS Service CatalogDeploying and setting up ML workspaces for a group or different groups of people is always a big challenge for public sector organizations AWS Service Catalog provides a solution for this problem It enables the central management of commonly deployed IT services and achieves consistent governance and meets compliance requirements End users can quickly deploy only the approved IT services they need following the constraints set by the organization For example AWS Service Catalog can be used with Amazon SageMaker notebooks to provide end users a template to quickly deploy and set up their ML Workspace Security and compliancePublic sector organizations have a number of security challenges and concerns with hosting ML workloads in the cloud as these applications can contain sensitive customer data This includes personal information or proprietary information that must be protected over the entire data lifecycle The specific concerns also include protecting the network and underlying resources such as compute storage and databases user authentication and authorization logging monitoring and auditing Compute and network isolationOne of the major requirements with many public sector ML projects is the ability to keep the environments data and workloads secure and isolated from internet access These can be achieved using the following methods Provision ML components in an isolated VPC with no internet access see more info here Use VPC end point and end point policies to further limit access see more info here Data ProtectionProtect data at rest with KMS Protect data in transit with TLS SSL Secure shared notebook instances Authentication and AuthorizationAWS IAM enables control of access to AWS resources IAM administrators control who can be authenticated signed in and authorized have permissions to use SageMaker resources IAM can help create preventive controls for many aspects of your ML environment including access to Amazon SageMaker resources data in Amazon S and API endpoints Artifact and model managementThe recommended best practice is to use version control to track code or other model artifacts If model artifacts are modified or deleted either accidentally or deliberately version control allows you to roll back to a previous stable release This can be used in cases where an unauthorized user gains access to the environment and makes changes to the model If model artifacts are stored in Amazon S versioning should be enabled Security complianceThird party auditors assess the security and compliance of Amazon SageMaker as part of multiple AWS compliance programs including FedRAMP HIPAA and others AWS provides the following resources to help with compliance Security and Compliance Quick Start Guides These deployment guides discuss architectural considerations and provide steps for deploying security and compliance focused baseline environments on AWS Architecting for HIPAA Security and Compliance This describes how organizations can use AWS to help create HIPAA compliant applications AWS Compliance Resources This collection of workbooks and guides might apply to the Organization s industry and location AWS Config This AWS service assesses how well resource configurations comply with internal practices industry guidelines and regulations As an example AWS Config can be used to create compliance rules that can scan AWS Key Management Service AWS KMS key policies to determine whether these policies align with the principle of granting least privilege to users Please refer to the How to use AWS Config to determine compliance of AWS KMS key policies to your specifications which outlines this process AWS Security Hub This AWS service provides a comprehensive view of the security state within AWS that helps check compliance with security industry standards and best practices Cost OptimizationCost management is a primary concern for public sector organizations projects to ensure the best use of public funds while enabling agency missions AWS provides several mechanisms to manage costs in each phase of the ML lifecycle Prepare Build Train amp Tune Deploy and Manage as described in this section PrepareThis step of the ML lifecycle includes storing the data labeling the data and processing the data Cost control in this phase can be accomplished using the following techniques Data Storage ML requires extensive data exploration and transformation Multiple redundant copies of data are quickly generated which can lead to exponential growth in storage costs Therefore it is essential to establish a cost control strategy at the storage level Processes can be established to regularly analyze source data and either remove duplicative data or archive data to lower cost storage based on compliance policies For example for data stored in S S storage class analysis can be enabled on any group of objects based on prefix or object tagging to automatically analyze storage access patterns This enables identification and transition of rarely accessed data to S glacier lowering costs S intelligent storage can also be used to lower costs of data that has unpredictable usage patterns It works by monitoring and moving data between a data tier that is optimized for frequent access and another lower cost tier that is optimized for infrequent access Data Labeling Data labeling is a key process of identifying raw data such as images text files and videos and adding one or more meaningful and informative labels to provide context so that an ML model can learn from it This process can be very time consuming and can quickly increase costs of a project Amazon SageMaker Ground Truth can be used to reduce these costs Ground Truth s automated data labeling utilizes the Active Learning ML technique to reduce the number of labels required for models thereby lowering these costs Ground Truth also provides additional mechanisms such as crowdsourcing with Amazon Mechanical Turk or another vendor company that can be chosen to lower the costs of labeling Data Wrangling In ML a lot of time is spent in identifying converting transforming and validating raw source data into features that can be used to train models andmake predictions Amazon SageMaker Data Wrangler can be used to reduce this time spent lowering the costs of the project With Data Wrangler data can be imported from various data sources and transformed without requiring coding Once data is prepared fully automated ML workflows can be built with Amazon SageMaker Pipelines and saved for reuse in the Amazon SageMaker Feature Store eliminating the costs incurred in preparing this data again BuildThis step of the ML lifecycle involves building ML models Cost control in this phase can be accomplished using the following techniques Notebook Utilization Test Code locally Use Pipe mode where applicable to reduce training time Find the right balance Performance vs accuracy AWS Marketplace Train and TuneThis step of the ML lifecycle involves providing the algorithm selected in the build phase with the training data to learn from and setting the model parameters to optimize the training process Cost control in this phase can be accomplished using the following techniques Use Spot Instances Hyperparameter optimization HPO Distributed Training Monitor the performance of your training jobs to identify waste Deploy and ManageThis step of the ML lifecycle involves deployment of the model to get predictions and managing the model to ensure it meets functional and non functional requirements of the application Cost control in this phase can be accomplished using the following techniques Endpoint deployment Multi model endpoints Auto Scaling Amazon Elastic Inference for deep learning Analyzing costs with Cost Explorer AWS Budgets Bias and ExplainabilityDemonstrating explainability is a significant challenge because complex ML models are hard to understand and even harder to interpret and debug There is an inherent tension between ML performance predictive accuracy and explainability Often the highest performing methods are the least explainable and the most explainable are less accurate Hence public sector organizations need to invest significant time with appropriate tools techniques And mechanisms to demonstrate explainability and lack of bias in their ML models which could be a deterrent to adoption AWS Cloud provides the following capabilities and services to assist public sector organizations in resolving these challenges Amazon SageMaker DebuggerAmazon SageMaker Debugger provides visibility into the model training process for real time and offline analysis In the existing training code for TensorFlow Keras Apache MXNet PyTorch and XGBoost The new SageMaker Debugger SDK can be used to save the internal model state at periodic intervals in S This state is composed of a number of components The parameters being learned by the model for example weights and biases for neural networks the changes applied to these parameters by the optimizer gradients optimization parameters scalar values such as accuracies and losses and outputs of each layer of a neural network SageMaker Debugger provides three built in tensor collections called feature importance average shap and full shap to visualize and analyze captured tensors specifically for model explanation Feature importance is a technique that explains the features that make up the training data using a score importance It indicates how useful or valuable the feature is relative to other features SHAP SHapley Additive exPlanations is an open source technique based on game theory It explains an ML prediction by assuming that each feature value of training data instance is a player in a game in which the prediction is the payout Shapley values indicate how to distribute the payout fairly among the features ConclusionPublic sector organizations have complex mission objectives and are increasingly adopting ML services to help with their initiatives ML can transform the way government agencies operate and enable them to provide improved citizen services However several barriers remain for these organizations to implement ML This whitepaper outlined some of the challenges and provided best practices that can help address these challenges using AWS Cloud Reference Original paper	2021-10-08 10:13:59
海外TECH	DEV Community	Hacktoberfest Beginners and Advanced Repos to Contribute to	https://dev.to/zigrazor/hacktoberfest-beginners-and-advanced-repos-to-contribute-to-p1	Hacktoberfest Beginners and Advanced Repos to Contribute toHi everyone and Happy Hacktoberfest This is my repos ready for the Hacktoberfest Python PyStateMachine Beginners A Python implementation of simply configurable State Machines ZigRazor PyStateMachine Python State Machine PyStateMachine Python State MachineIntroductionPyStateMachine is a Framework that support state machines in PythonRequirementsPythonHow to RunWork in ProgessExampleWork in ProgessTest SuiteWork in ProgressHow to contribute Read the CONTRIBUTING GUIDEHacktoberfestWe are pleased to inform you that this repository is participating in the Hacktoberfest Happy Coding ContactE Mail zigrazor gmail comGitHub Profile SupportTo support me just add Star the project or follow me To get updated watch the project Project Info View on GitHub LogParser Beginners A Log Parser that create structured data from log files ZigRazor LogParser A Log Parser that create structured data from log files LogParserA Log Parser that create structured data from log files View on GitHub C CXXGraph Advanced Header Only C library for Graph Representation and Algorithms with a simple interface ZigRazor CXXGraph Header Only C Library for Graph Representation and Algorithms CXXGraph Share on Table of ContentsCXXGraphTable of ContentsIntroductionAlgorithm ExplanationDijkstraDialBFSDFSCycle DetectionPartition Algorithm ExplanationVertex CutGreedy Vertex CutClasses ExplanationRequirementsHow to useUnit Test ExecutionGoogle Test InstallationHow to Compile TestHow to Run TestBenchmark ExecutionGoogle Benchmark InstallationHow to Compile BenchmarkHow to Run BenchmarkPackagingTarballsRPMDEBInstall and UninstallInstall Linux TarballsInstall RPMInstall DEBInstall From SourceExampleHow to contributeSiteContactSupportReferencesCreditsHacktoberfest kWe are Looking for IntroductionCXXGraph is a small library header only that manages the Graph and it s algorithms in C In other words a Comprehensive C Graph Library Algorithm ExplanationDijkstraGraph Dijkstras Shortest Path Algorithm Dijkstra s Shortest Path Dijkstra s Algorithm is used to find the shortest path from a source node to all other reachable nodes in the graph The algorithm initially assumes… View on GitHub CXXAutomata Intermediate A C Library to which implements the structures and algorithms for finite automata pushdown automata and Turing machines ZigRazor CXXAutomata A C library for simulating automata and Turing machines CXXAutomataA C library for simulating automata and Turing machines View on GitHub CXXLog Beginners A C HeaderOnly Logging Utilities ZigRazor CXXLog HeaderOnly Logging Utilities CXXLogHeaderOnly Logging Utilities View on GitHubIf you need some instructions on how to contribute or how to approch to the repo or more in general to the Open Source do not hesitate to open an issue on the repository or write to me at email zigrazor gmail com Happy Coding	2021-10-08 10:11:21
Apple	AppleInsider - Frontpage News	More evidence surfaces of 5G 'iPhone SE 3' coming in spring 2022	https://appleinsider.com/articles/21/10/08/more-evidence-surfaces-of-5g-iphone-se-3-coming-in-spring-2022?utm_medium=rss	More evidence surfaces of G x iPhone SE x coming in spring A new report again says a revamped iPhone SE will be released in spring featuring the same chassis as before but with G and Apple s A Bionic processor Apple has been predicted before to release a third generation of its iPhone SE range and some of those predictions have been particularly detailed Now Japanese technology blog Mac Otakara says that reliable Chinese sources have confirmed the key points of these previous leaks The new iPhone SE will retain the iPhone style design but use iPhone internal components Read more	2021-10-08 10:48:37
Apple	AppleInsider - Frontpage News	China increases power cuts, 'scared' suppliers look to leave country	https://appleinsider.com/articles/21/10/08/china-increases-power-cuts-scared-suppliers-look-to-leave-country?utm_medium=rss	China increases power cuts x scared x suppliers look to leave countryRegular power outages decided on by the Chinese government to save electricity now look permanent ーand technology manufacturers say they are being scared into moving to different countries Tim Cook visiting China productionSince June China s government has been forcing companies to shut down at times to save electricity Now firms say they get weekly notifications of which days they will have no power and fears that this is permanent are reviving aims to move away Read more	2021-10-08 10:05:06
海外TECH	Engadget	AMD vows to fix Ryzen processor slowdowns on Windows 11	https://www.engadget.com/amd-windows-11-bug-ryzen-100550246.html?src=rss	AMD vows to fix Ryzen processor slowdowns on Windows Installing Windows might make the apps on your AMD powered computer slower the chipmaker has warned AMD has published documentation on a couple of Windows bugs affecting its Ryzen processors one of which can slow down its CPUs by up to percent That particular bug can increase L cache latency by three times which in turn can affect apps that need quick access to memory nbsp Most affected applications could slow down by three to five percent If you play games quot commonly used for eSports quot though you might be feeling the bug s impact a lot more since it could slow down those games by around to percent The second bug as Ars Technica explains is related to the quot preferred core quot feature that allows a system to use the fastest individual CPU cores in a processor nbsp AMD didn t mention any particular percentage for the second bug but the company said its impact is more noticeable in chips with more than eight cores and with W Thermal Design Power TDP or higher That includes many of the high end desktop chips released over the past few years but suggests popular lines like the X and X should be minimally affected and AMD powered laptops aren t likely to be particularly troubled either nbsp In its announcement AMD assured that it s investigating the issues with Microsoft and that they re working on a fix for them A patch for the first bug will be released as Windows update while a fix for the second will roll out as a software update sometime this month For the latter it could mean having to check AMD s website for the update and having to install new drivers manually	2021-10-08 10:05:50
医療系	医療介護 CBnews	オンライン診療前の話し合い、費用負担に焦点-厚労省・検討会	https://www.cbnews.jp/news/entry/20211008192734	厚生労働省	2021-10-08 19:40:00
ニュース	BBC News - Home	Nobel Peace Prize: Journalists Maria Ressa and Dmitry Muratov share award	https://www.bbc.co.uk/news/world-58841973?at_medium=RSS&at_campaign=KARANGA	editors	2021-10-08 10:40:50
ニュース	BBC News - Home	Former Northern Ireland Secretary James Brokenshire dies, aged 53	https://www.bbc.co.uk/news/uk-politics-58844606?at_medium=RSS&at_campaign=KARANGA	cancer	2021-10-08 10:40:52
ニュース	BBC News - Home	Insulate Britain: Protesters block Old Street roundabout and M25 junction	https://www.bbc.co.uk/news/uk-england-london-58842299?at_medium=RSS&at_campaign=KARANGA	protests	2021-10-08 10:20:53
ニュース	BBC News - Home	South China Sea: US submarine collides with unknown object	https://www.bbc.co.uk/news/world-us-canada-58838332?at_medium=RSS&at_campaign=KARANGA	connecticut	2021-10-08 10:01:45
ニュース	BBC News - Home	New travel rules: What are the red list countries and do I need a test?	https://www.bbc.co.uk/news/explainers-52544307?at_medium=RSS&at_campaign=KARANGA	countries	2021-10-08 10:05:23
北海道	北海道新聞	岸田首相、コロナ対応を強化　衆院本会議で所信表明演説	https://www.hokkaido-np.co.jp/article/597945/	所信表明演説	2021-10-08 19:16:02
北海道	北海道新聞	野球、山形中央監督に謹慎２年　学生審査室会議	https://www.hokkaido-np.co.jp/article/598051/	山形中央	2021-10-08 19:13:00
北海道	北海道新聞	矢臼別の実弾射撃訓練中止を　連合北海道が防衛局に申し入れ	https://www.hokkaido-np.co.jp/article/598050/	矢臼別演習場	2021-10-08 19:09:00
IT	週刊アスキー	声優の高橋花林さんが挑戦！『スーパーロボット大戦30』先行プレイ動画を公開	https://weekly.ascii.jp/elem/000/004/071/4071576/	nintendo	2021-10-08 19:55:00
IT	週刊アスキー	作家が直接店頭で接客！　小田急百貨店新宿店の本館1階中央口前特設会場で「Beppin Deco」のポップアップショップを開催	https://weekly.ascii.jp/elem/000/004/071/4071564/	beppindeco	2021-10-08 19:40:00
IT	週刊アスキー	コーエーテクモゲームスの9タイトルが映画「燃えよ剣」とコラボレーションを実施！	https://weekly.ascii.jp/elem/000/004/071/4071559/	燃えよ剣	2021-10-08 19:20:00
IT	週刊アスキー	『ウマ娘 プリティーダービー』公式番組「ぱかライブTV Vol.10」が10月19日20時より配信決定！	https://weekly.ascii.jp/elem/000/004/071/4071562/	cygames	2021-10-08 19:10:00