投稿時間:2022-04-11 11:25:27 RSSフィード2022-04-11 11:00 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	Techable（テッカブル）	スマホグリップとウォレットが合体！ スタンドにもなる「Magcardgrip」が多機能すぎる	https://techable.jp/archives/176771	magcardgrip	2022-04-11 01:00:22
python	Pythonタグが付けられた新着投稿 - Qiita	Streamlitを使ってスマホから開発環境する(2022.4.11)	https://qiita.com/tan0ry0shiny/items/6e22287b05e0e0556126	django	2022-04-11 10:11:22
js	JavaScriptタグが付けられた新着投稿 - Qiita	[自分用メモ] select2のoptions（選択肢）にclassとhtmlを引き継ぐ	https://qiita.com/MarioninC/items/8346772eb9b4bef3a3f0	calss	2022-04-11 10:50:24
Ruby	Rubyタグが付けられた新着投稿 - Qiita	M1 Mac Homebrew環境のcabocha gemで `ld: library not found for -lcrfpp` が発生する	https://qiita.com/ibuki/items/2b936d5ab35c273a8eb7	ewinstallcabochabundlecon	2022-04-11 10:51:04
Ruby	Rubyタグが付けられた新着投稿 - Qiita	【個人開発】正規表現を学ぶ狩りに出ませんか？モンスターを倒しながら正規表現が学べるゲーム「Regex Hunting」を作りました	https://qiita.com/yukiHaga/items/8ef2051036e126eb00c6	regexhunting	2022-04-11 10:10:39
AWS	AWSタグが付けられた新着投稿 - Qiita	Amazon EMR の Spark パラメータを簡単に最適化する方法	https://qiita.com/hankehly/items/3ccd384f43685720dca4	amazonemr	2022-04-11 10:00:37
Azure	Azureタグが付けられた新着投稿 - Qiita	Azure Pipelineで同じ組織の別リポジトリがcheckoutできない（Git fetch failed with exit code 128）	https://qiita.com/hatobeam75/items/ad0d2b32ffbebfd773cc	azurepipeline	2022-04-11 10:38:12
Azure	Azureタグが付けられた新着投稿 - Qiita	Azure Key Vault の値を AKS (Azure Kubernetes Service) 上の Secret として設定する（ Managed Identity を利用）	https://qiita.com/tbuchi888/items/36d1853aa41d7cc6a460	aksazurekubernetesservice	2022-04-11 10:28:15
Git	Gitタグが付けられた新着投稿 - Qiita	Azure Pipelineで同じ組織の別リポジトリがcheckoutできない（Git fetch failed with exit code 128）	https://qiita.com/hatobeam75/items/ad0d2b32ffbebfd773cc	azurepipeline	2022-04-11 10:38:12
Git	Gitタグが付けられた新着投稿 - Qiita	Git関連まとめ	https://qiita.com/oiwa37/items/02fc7d8ea47ef3785f1b	gitcon	2022-04-11 10:12:29
Ruby	Railsタグが付けられた新着投稿 - Qiita	【個人開発】正規表現を学ぶ狩りに出ませんか？モンスターを倒しながら正規表現が学べるゲーム「Regex Hunting」を作りました	https://qiita.com/yukiHaga/items/8ef2051036e126eb00c6	regexhunting	2022-04-11 10:10:39
海外TECH	DEV Community	Spam filtering system - Bayes classifier	https://dev.to/matiascarpintini/spam-filtering-system-bayes-classifier-1d8l	Spam filtering system Bayes classifier What the f ck is a Bayes Cassifier The Bayes Rule The theory that never died A simple th century theory for the evaluation of knowledge criticized for most of the th century It helps people evaluate their initial ideas update and modify them with new information in order to make better decisions Initial beliefs recent objective data A new improved belief The theory is very robust In practice Bayes rule requires multiple calculations and powerful computers that reintegrate millions of times the probability of an initial belief each time new information arrives Bayes rule does not generate an absolutely true exact answer instead it uses probability to move step by step toward the most likely conclusion It was discovered and published by two clergymen and amateur mathematicians the Englishman Thomas Bayes and his Welsh friend Richard Price during the th century The French mathematician Pierre Simon Laplace developed it in the form in which it is used today Now we could call it the Bayes Price Laplace theory or GLP for short Part of the initial controversy is due to the fact that during the s of the th century a harsh controversy had opened about the improbability of Christian miracles The question was whether there was evidence in the natural world that would help us reach rational conclusions about God the creator which in the th century was known as the cause or the first cause We do not know if Bayes was trying to prove the existence of God as a cause But we do know that he tried to deal mathematically with the problem of cause and effect During the Cold War the United States Air Force lost a hydrogen bomb off the coast of Palomares and the United States Navy began to secretly develop the Bayesian theory for finding underwater objects In Air France Flight disappeared in the South Atlantic Ocean with people on board The United States Navy had developed Bayesian search theory enough to end two years of unsuccessful search for AF in a week s underwater search Today we use it for an immense amount of things such as filtering spam and training autopilot systems If you want to know more about the history behind it take a look to this video Ok nice But you haven t answered the previous question Naive Bayes ClassificationThe Naive Bayes classifier is a machine learning technique that can be used to classify objects such as text documents into two or more classes A new object it s classified by the similarity between others Despite its naivete the naive Bayes method tends to work very well in practice “all models are wrong but some are useful George Box Cool go for it So for our purpose spam filtering we need data a lot of emails classify each email as spam or ham legitimate and then analyze the words independently in order to get the most common words in each of those classes P S You can have many classes as you want Like Gmail does with Promotions Updates Forums or Social Initial beliefs For simplicity let says that the half of emails we get are spam Now we need to obtain the probability that each of those words appears in spam or ham The simplest way is to count how many times each word appears in the data and divide the number by the total word count wordspamhamFreetotalIn this example the probability that the word Free in a spam message appears is out of words Same exercise for ham in Recent objective data If we found the word Free in our message it will increase the probability of being spam in initial beliefs half messages we receive are spam we just found the world Free in our email There are on the average about spam messages for each ham message or to use whole numbers spam messages for every ham messages So the probability would be To handle the rest of the words in a email we can use exactly the same procedure The posterior odds after one word what we just calculated will become the prior odds or the initial belief for the next word and so on You may have noticed that how whole thing will be biased Since once we are going to analyze the second word it already have a strong belief that the email is spam due it has the free world on it and same with next words That s known as the base rate fallacy and you can read more about here But let s keep it simple Land and Expand How can i play with this I just found classifier reborn a gem that keeps it pretty simple And this dataset Here you go require classifier reborn require csv Load datasetdataset CSV parse File read spam ham dataset csv headers true Create our Bayes LSI classifierclassifier ClassifierReborn Bayes new Spam Ham Train the classifierdataset each with index do email index if dataset index label spam classifier train Spam dataset index text else classifier train Ham dataset index text endend Play with itputs Insert your email here txt puts classifier classify getsYou can also check this repo to see how it looks without the gem pSpeaking of spam I m going to launch a job board for devs that want to work remotely and i m looking for feedback take a look Bye	2022-04-11 01:26:35
海外TECH	DEV Community	Automate Snapshots of Multiple VMs Concurrently Using PowerCLI	https://dev.to/tomkanabay/automate-snapshots-of-multiple-vms-concurrently-using-powercli-4kk5	Automate Snapshots of Multiple VMs Concurrently Using PowerCLIThis is a PowerShell PowerCLI script I wrote to automate snapshots of multiple VMs concurrently using PowerCLI To prevent overwhelming vCenter a limit specifies the maximum number of concurrent tasks Code snapshot name Example Snapshot Name snapshot description Example Snapshot Description num concurrent jobs limit foreach vm in vms try New Snapshot VM vm Name snapshot name Description snapshot description Memory false Quiesce false RunAsync true Confirm false Server vcenter server catch Write Host Error creating snapshot for vm on vcenter server ErrorMessage Exception Message Write Host ErrorMessage try current snapshot tasks Get Task where Name eq CreateSnapshot Task and Running Queued contains State while current snapshot tasks count gt num concurrent jobs limit sleep current snapshot tasks Get Task where Name eq CreateSnapshot Task and Running Queued contains State catch Write Host Error getting snapshot tasks on vcenter server ErrorMessage Exception Message Write Host ErrorMessage exit Code ExplanationFor each vm in vms the script starts an asynchronous snapshot task that allows the script to continue without waiting for the task to complete A while loop implements a check sleep cycle that fetches the number of running snapshot tasks and sleeps if the number of tasks is greater than the limit When the number of snapshot tasks is less than the limit the while loop exits and the foreach loop progresses to the next VM The script outputs an error message if it cannot start a snapshot for a VM and exits if it s unable to fetch the current number of snapshot tasks Resources	2022-04-11 01:18:57
海外TECH	DEV Community	Unleash vs. LaunchDarkly	https://dev.to/lazypro/unleash-vs-launchdarkly-25e3	Unleash vs LaunchDarklyIn the previous article we introduced the timing and usage scenarios of feature toggles In this article we will pick two of the more well known solutions Unleash and LaunchDarkly to provide a basic introduction and my experience Before I begin let me briefly describe what the essential requirements for a feature toggle solution must be Easy to use website Easy to integrate SDK Ability to implement types of feature toggles Release toggle You can percentage rollout to achieve canary deployment Ops toggle Similar to the release toggle the percentage adjustment function is also required Experiment toggle To be able to carry additional information within the toggle not just true or false Permission toggle When making toggle judgments it is important to be able to use additional dynamic parameters such as user id Both Unleash and LaunchDarkly can satisfy these three criteria and although there are some differences in capability the basic operation of the feature toggle is not a problem at all UnleashUnleash is a mature solution for feature toggle providing not only an online paid solution but also a self hosted open source solution Therefore I believe it is very suitable for internal experiments in organizations after all it is free If you have good results with feature toggles then you can consider upgrading to Unleash s enterprise solution or switching to another solution Unleash s open source solution is very simple in architecture requiring only an API and a PostgreSQL There is no cache in the system architecture so you can understand that every time you get a feature toggle it is run directly on the database but if you only apply Unleash to the backend environment and only use the server side SDK then this amount of usage is indeed not a big deal On the other hand the SDK provided by Unleash uses a polling mechanism asking for results every seconds and storing the results in each instance s memory This also effectively reduces the frequency of actually touching the database but at the price of taking up to seconds for changes to take effect From my point of view seconds is not an intolerable period so it is completely acceptable It is also very simple to use first initialize the Unleash instance and then it will work properly All the following examples use Node js as a demonstration const unleash require unleash client unleash initialize url https YOUR API URL appName my node name environment process env APP ENV customHeaders Authorization SOME SECRET The initialization process needs to set environment but in an open source solution this parameter is irrelevant because the open source solution only provides one set of environments Ideally it should be possible to generate a corresponding set of settings with various online environments eg staging and production In an open source solution the only way to distinguish between environments is by using the name of the toggle as follows const stgToggle unleash isEnabled featureA stg const prodToggle unleash isEnabled featureA prod This can be quite useful when the number of toggles is small but when the number of toggles becomes large it can be challenging to manage How to use Unleash to make an expirement toggle We can do this by using Unleash s unleash getVariant which is additional information that can be attached to the feature toggle and is easily configured on the Unleash web page const variant unleash getVariant featureA In addition it is very simple to complete the permission toggle just bring in the context when isEnabled const context userId sessionId remoteAddress const enabled isEnabled featureA context Furthermore Unleash offers multiple different deployment strategies Standard Every time the result will be the same Gradual rollout It can be set to a specific ratio so that the result of each time the toggle is asked is determined by chance UserIDs Use userId in the context to enable targets that satisfy a specific userId IPs Use sessionId in the context to enable targets that satisfy a specific sessionId Hosts Use remoteAddress in the context to enable targets that satisfy a specific remoteAddress Thus far in the introduction we should be able to satisfy the essential use cases of feature toggles with Unleash However the functionality of Unleash is very simple in terms of toggling and there are several challenges that are not easily overcome in the use of Unleash There are only three special contexts that can be used for the deployment strategy and there is only a judgment of equal or not and there is no operator provided for either greater than or less than If you need to implement custom strategy you have to inherit the base class of SDK and implement it by yourself Unleash supports the use of multiple policies on a single toggle but the relationship between the policies is OR For example it is not possible to enable a toggle to a specific user in a specific location because the userId and sessionId cannot be AND When choosing a gradual rollout it can only set one specific rule For instance you cannot group by userId and have of the users enabled because you cannot mix multiple conditions Otherwise you can only use totally random distribution LaunchDarklyLaunchDarkly is another common solution It does not provide a free open source solution in other words it is only available as a paid commercial solution It is very similar to Unleash in use and requires initialization at first const ld require launchdarkly node server sdk const client ld init YOUR SDK KEY Unlike Unleash it does not need to set the environment parameters in the initialization because the key has already defined in which environment The next step is to pick up the corresponding feature toggles const user firstName Bob lastName Loblaw key example user key const value await client variation YOUR FLAG KEY user false Two things are worth noting here LaunchDarkly s user is equivalent to Unleash s context but LaunchDarkly s user is more flexible Unleash s context is only available for those specific attributes that are predefined but LaunchDarkly can use any attribute and only needs to be configure it on the admin page Another point is that Unleash splits the toggle and extra information into two methods isEnabled and getVariant but in the LaunchDarkly world the toggle and extra information are one and the same That is to say the value you get through variation already contains the extra information The value can be a boolean an integer a string or JSON depending on the setting As for the percentage rollout provided by Unleash LaunchDarkly also provides it and it is even more powerful Not only setting a ratio LaunchDarkly is a composite attribute toggle so more than two possibilities can exist at the same time so you can directly adjust the percentage of each possibility in the percentage setting In addition LanuchDarkly provides a very powerful rules engine Unlike Unleash s monotonous deployment strategy LauchDarkly can freely set rules for AND OR IN and other matching operations Moreover during the percentage rollout it can also mix percentages and various rules to achieve a very strong conditional matching Due to LaunchDarkly s entirely freestyle user and powerful rule engine basically LaunchDarkly can implement any application scenario you want ConclusionCurrently the toggle update relies on a polling mechanism so it takes a while for the settings on the website to really reflect on the system behavior The solution is also proposed in the new version of LaunchDarkly which provides a stream mechanism to get instant feedback However for the system it must also consider whether the network environment can tolerate so many persistent connections This is beyond the scope of this article so I will not explain it further In fact the feature toggle solution provides much more than just the toggle itself how to do access control audit log and SSO and other additional features are equally important However different payment solutions provide different payment functions and those functions have actually been detached from the demands of feature toggles so this article does not introduce those additional functions of Unleash and LaunchDarkly In terms of feature toggling itself Unleash provides a basic experimental environment in which you can build a feature toggling system in your organization with very little overhead Unleash also provides all the fundamental features required for feature toggling For an organization that is just starting up Unleash provides a great experimental vehicle that can be used as a warm start Once the feature toggle is integrated into an organization s development process LaunchDarkly is a good choice for organizations that need to customize the use of the toggle for more situations LaunchDarkly provides a simple and intuitive experience for setting and matching customization rules From my experience it is sufficient for small organizations to use Unleash and the self hosted solution is simple but enough for most use cases As long as there are no complex rules to match there is no need to spend money on other commercial solutions but if you are having more and more management needs with open source Unleash then it is necessary to consider commercial solutions and evaluate them carefully In my opinion LaunchDarkly is also good	2022-04-11 01:15:40
海外TECH	DEV Community	Recursive Function to Find All Folder Paths in vCenter Server Inventory using PowerCLI	https://dev.to/tomkanabay/recursive-function-to-find-all-folder-paths-in-vcenter-server-inventory-using-powercli-13f3	Recursive Function to Find All Folder Paths in vCenter Server Inventory using PowerCLIThis is a PowerShell PowerCLI script I wrote to find all folder paths in a vCenter Server Inventory A recursive function walks through the entire folder tree pushing and popping each encountered folder to a stack to generate each full path The paths are stored in an ArrayList which is finally output to a text file Code function build folder paths Param folders foreach folder in folders stack Push folder Name sub folders folder Get Folder type VM norecursion stack array stack ToArray array Reverse stack array folder path stack array join folder paths Add folder path Write Host Folder Path folder path if sub folders try stack Pop Out Null catch Write Host Stack Empty else build folder paths sub folders try stack Pop Out Null catch Write Host Stack Empty folder paths New Object TypeName System Collections ArrayList stack New Object TypeName System Collections Stack start folders Get Folder VM type VM Get Folder type VM norecursion build folder paths start folders folder paths Out File folder paths txt Code ExplanationFunctionA function build folder paths is defined that accepts a folders parameter On first call the folders parameter holds the list of folders at the root of the vCenter inventory For each folder in folders We push folder to the stack We fetch the immediate sub folders of that folder We convert the stack to an array and reverse it so the top of the stack has the highest index We join the array with to build the folder path We add the folder path to the folder paths ArrayList If there are not sub folders in this folder we pop the stack Then the foreach loop iterates to the next folder in folders If there are sub folders in this folder then we make a recursive call to the function and pass sub folders it After all sub folders are processed on the recursive call we pop the parent folder from the stack and the recursive call returns When a recursive call returns its caller continues Start We create a folder paths ArrayList to store all the folder paths We create a stack to build each folder path We fetch the start folders by getting all the immediate sub folders at the root of the vCenter inventory folder tree We call the build folder paths function and pass start folders as the folders parameter This function recursively calls itself until every folder is visited and every path is generated EndFinally the content of the folder paths ArrayList is written to a text file Simple ExampleLet s say we have the following folder structure ├ーfolder │  ├ーfoldera │  └ーfolderb └ーfolder The function looks at folder pushes it to the stack fetches its sub folders builds its folder path and adds its path to the ArrayList stack folder lt top sub folders foldera folderb path folder ArrayList folder Since there are sub folders in folder we make a recursive call to the function build folder paths and pass sub folders it The function looks at foldera pushes it to the stack fetches its sub folders builds its folder path and adds its path to the ArrayList stack foldera lt top folder sub folders none path folder foldera ArrayList folder folder foldera Since there are no sub folders in foldera it is popped from the stack and the foreach loop proceeds to folderb stack folder lt top The function looks at folderb pushes it to the stack fetches its sub folders builds its folder path and adds its path to the ArrayList stack folderb lt top folder sub folders none path folder folderb ArrayList folder folder foldera folder folderb Since there are no sub folders in folderb it is popped from the stack stack folder lt topSince there are no more folders for the foreach loop to process remember we are processing the sub folders of folder the foreach loop exits and folder is popped from the stack stack emptyThe recursive function call returns and the initial function call continues The function looks at folder pushes it to the stack fetches its sub folders builds its folder path and adds its path to the ArrayList stack folder lt top sub folders none path folder ArrayList folder folder foldera folder folderb folder Since there are no sub folders in folder it is popped from the stack stack emptySince there are no more folders for the foreach loop to process remember we are processing the folders from the initial function call the foreach loop exits An attempt is made to pop the parent folder from the stack but the stack is empty and the exception is caught At this point all folders have been visited and all folder paths have been generated Resources	2022-04-11 01:13:04
海外TECH	DEV Community	Create a Self-Signed Certificate Using OpenSSL	https://dev.to/tomkanabay/create-a-self-signed-certificate-using-openssl-230c	Create a Self Signed Certificate Using OpenSSLThis article covers how to create a self signed certificate using OpenSSL Self signed certificates can be useful during software development or for deployment of a web application to a low risk internal network Self signed certificates should not be used for publicly facing servers Create a Self Signed Cert and Private Keyopenssl req x nodes days newkey rsa keyout private key out public crtreq specifies that we want to use X Certificate Signing Request CSR Management x specifies that we want to output a self signed certificate instead of a certificate request nodes tells OpenSSL not to encrypt the private key This is important because the server will need to read it without user interaction days specifies the number of days to certify the certificate In this example we specify days newkey rsa creates a new certificate and new private key In this example we specify an RSA key of bits keyout specifies the filename to write the private key to out specifies the filename to write the certificate to View the Private Keyopenssl rsa noout text in private keyThe rsa command processes RSA keys noout prevents output of the encoded version text prints out the various public or private key components in plain text in addition to the encoded version in specifies the input filename to read a key from View the Public Certificateopenssl x noout text in public crtThe x command is used to display certificate information noout prevents output of the encoded version text prints out the certificate in text form in specifies the input filename to read a certificate from Check CompatibilityOpenSSL stores a modulus in both the private key and public certificate We can check compatibility of the pair by comparing the the MD checksums of each modulus openssl x noout modulus in public crt openssl md gt public mdopenssl rsa noout modulus in private key openssl md gt private mddiff public md private mdIf there are any differences in the md hashes then the public cert and private key are not compatible Resources	2022-04-11 01:09:41
海外TECH	DEV Community	IPv4 CIDR Address to IP Range Using Boolean Logic and Binary Addition	https://dev.to/tomkanabay/ipv4-cidr-address-to-ip-range-using-boolean-logic-and-binary-addition-3ald	IPv CIDR Address to IP Range Using Boolean Logic and Binary AdditionGiven an IPv address in CIDR notation e g we can find the IP range using boolean logic and binary addition ProcedureIPv Address in CIDR Notation Find Number of Addresses in RangeThere are bits in an IPv address We know the netmask is bits Therefore the address space is bits Each of those bits can be a or We find the total number of addresses in the space with the power function base power addresses including network and broadcast We subtract to find the number of available addresses since the network and broadcast addresses are reserved addresses network and broadcast excluded Find Netmask BitsWe were given the netmask as bits That is s followed by nine s Find Wildcard BitsThe wildcard bits are the opposite of the netmask bits Where there is a replace it with a Where there is a replace it with a That is s followed by nine s The wildcard bits can also be found by taking Number of Addresses in Range decimal Convert IPv Address to BinaryWe take each decimal octet and convert it to binary decimal binary decimal binary decimal binary decimal binary Logical AND the IP Address with the Netmask to find the Network Address netmask logical AND network address back to decimalFind the Broadcast AddressWe use binary addition to add the network address to the wildcard bits wildcard bits network address binary addition broadcast address back to decimal Range network addr first avail ip last avail ip broadcast addr ConfirmationUsing the IPv Calculator link from the Resources section below we can check that we applied the procedure properly Address Netmask Wildcard gt Network Class C Broadcast HostMin HostMax Hosts Net Private Internet ResourcesI found the IPv Calculator link in IPv Subnetting section of the Unix and Linux System Administration Handbook Nemeth Evi et al Unix and Linux System Administration Handbook th ed Pearson Education Inc	2022-04-11 01:08:02
海外TECH	DEV Community	In Swedish, are HTML elements "i" or "på" eachother?	https://dev.to/baenencalin/in-swedish-are-html-elements-i-or-pa-eachother-5067	In Swedish are HTML elements quot i quot or quot på quot eachother Original post on r Svenska Ok probably not many people here will know Swedish but Are HTML elements i or på eachother The reason I ask is because I could argue a case for either lt html lang se SV gt lt head gt lt gt lt head gt lt body gt lt p gt Jag är en HTML paragraph tag och jag är i lt However you d say the body tag gt lt p gt lt body gt lt html gt The written form of HTML supports using i for describing element relationships BUT From a non technical standpoint you d find that the browser renders the elements from the outer most layer to the inner most So we get kind of the reverse of the last argument Maybe you could use either depending on if you re talking about its technical sense or not but I don t know which I should use Some input even if it s an opinion would help Thanks in advance Cheers	2022-04-11 01:06:03
医療系	医療介護 CBnews	依存症「医療体制の確保進める」-大阪府が地域福祉支援計画の中間見直し版公表	https://www.cbnews.jp/news/entry/20220408190127	医療機関	2022-04-11 11:00:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	中国、引き続き「ダイナミックゼロコロナ」を堅持	https://www.jetro.go.jp/biznews/2022/04/5eb2d0537fc518bc.html	中国	2022-04-11 01:25:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	北京市、コールドチェーンを必要としない輸入貨物は通関後7日間の保管が義務に	https://www.jetro.go.jp/biznews/2022/04/821df2032d34f3db.html	通関	2022-04-11 01:20:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	深セン・東莞の操業はほぼ正常に、上海などの新型コロナ感染拡大でサプライチェーンに影響	https://www.jetro.go.jp/biznews/2022/04/88bd7c3fca8cdedc.html	感染拡大	2022-04-11 01:10:00
海外ニュース	Japan Times latest articles	Former Japanese princess Mako Komuro finds new role at New York’s MET	https://www.japantimes.co.jp/news/2022/04/11/national/mako-komuro-met-volunteering/	komuro	2022-04-11 10:01:06
ニュース	BBC News - Home	Masters: Scottie Scheffler wins first major as Rory McIlroy finishes second	https://www.bbc.co.uk/sport/golf/61061626?at_medium=RSS&at_campaign=KARANGA	Masters Scottie Scheffler wins first major as Rory McIlroy finishes secondWorld number one Scottie Scheffler cements his place at the top of the men s game by winning the Masters and clinching his first major title	2022-04-11 01:13:20
ニュース	BBC News - Home	Masters: Rory McIlroy 'as happy' as he's ever been after chipping in on 18th in stunning final round	https://www.bbc.co.uk/sport/golf/61062640?at_medium=RSS&at_campaign=KARANGA	Masters Rory McIlroy x as happy x as he x s ever been after chipping in on th in stunning final roundRory McIlroy says his chip in on the th to equal the lowest final round score in Masters history is as happy as he has ever been on a golf course	2022-04-11 01:36:38
北海道	北海道新聞	東京円、１２４円台後半	https://www.hokkaido-np.co.jp/article/668011/	東京外国為替市場	2022-04-11 10:27:00
北海道	北海道新聞	松島幸太朗、前半で負傷交代　ラグビー欧州カップ	https://www.hokkaido-np.co.jp/article/668010/	松島幸太朗	2022-04-11 10:22:00
北海道	北海道新聞	ロシアの東部攻勢で１０人死亡　空港、民間施設にミサイル	https://www.hokkaido-np.co.jp/article/668009/	首都	2022-04-11 10:22:00
北海道	北海道新聞	衆院議員の資産平均２９２４万円　前回比増、麻生氏６億円超で首位	https://www.hokkaido-np.co.jp/article/668007/	衆院議員	2022-04-11 10:22:00
北海道	北海道新聞	菊池「日本で一番の投手」　佐々木朗希を大リーガー絶賛	https://www.hokkaido-np.co.jp/article/668006/	大リーガー	2022-04-11 10:22:00
北海道	北海道新聞	【道スポ】荒野、初勝利で名誉挽回期す　コンサドーレ	https://www.hokkaido-np.co.jp/article/667990/	北海道コンサドーレ札幌	2022-04-11 10:16:14
マーケティング	MarkeZine	Twitterをフルファネルで活用、話題化と新規獲得に成功！スマホゲーム「魔法使いの約束」の周年施策	http://markezine.jp/article/detail/38544	twitter	2022-04-11 10:30:00
マーケティング	AdverTimes	信頼できるデータ基盤を組み上げるステークホルダー全体の協業が理想	https://www.advertimes.com/20220411/article381289/	長年	2022-04-11 01:30:20
マーケティング	AdverTimes	ミズノ、代表取締役に福本氏　経理財務、営業、ロジ担当	https://www.advertimes.com/20220411/article381409/	代表取締役	2022-04-11 01:16:43