| IT |
気になる、記になる… |
Kindleストア、｢Kindleマンガ月間｣キャンペーンの第3週を開始 − 対象のスポーツ・友情マンガが最大70％オフに |
https://taisy0.com/2022/11/16/165059.html
|
amazon |
2022-11-16 08:32:09 |
| IT |
気になる、記になる… |
iTunes Storeの｢今週の映画｣、今週は｢ラストナイト・イン・ソーホー｣（レンタル102円） |
https://taisy0.com/2022/11/16/165057.html
|
apple |
2022-11-16 08:27:56 |
| IT |
気になる、記になる… |
Twitter、現地時間11月29日より｢Twitter Blue｣の受付を再開へ |
https://taisy0.com/2022/11/16/165055.html
|
twitter |
2022-11-16 08:21:42 |
| IT |
気になる、記になる… |
NTTドコモ、｢ワンナンバーサービス｣で最大5台までのアクセサリ端末を同時利用可能な｢マルチデバイスオプション｣を提供開始 |
https://taisy0.com/2022/11/16/165053.html
|
提供開始 |
2022-11-16 08:10:44 |
| IT |
気になる、記になる… |
Anker、より薄くなったマグネット式モバイルバッテリー｢Anker 621 Magnetic Battery (MagGo)｣を発売 |
https://taisy0.com/2022/11/16/165051.html
|
ankermagneticbatterymagg |
2022-11-16 08:04:28 |
| IT |
気になる、記になる… |
UQ mobile、｢増量オプションⅡ｣が7ヶ月無料になるキャンペーンを12月より実施へ |
https://taisy0.com/2022/11/16/165049.html
|
uqmobile |
2022-11-16 08:00:51 |
| IT |
ITmedia 総合記事一覧 |
[ITmedia News] インボイスで漫画家の2割が廃業も？ 危機感抱くエンタメ業界 声優・アニメ・演劇団体と共同記者会見 |
https://www.itmedia.co.jp/news/articles/2211/16/news156.html
|
itmedia |
2022-11-16 17:38:00 |
| IT |
ITmedia 総合記事一覧 |
[ITmedia News] 「パブリッククラウドのコストが想定より高い」企業は94％、原因は？ 世界規模で調査 |
https://www.itmedia.co.jp/news/articles/2211/16/news160.html
|
itmedia |
2022-11-16 17:30:00 |
| TECH |
Techable（テッカブル） |
採用の鍵は報酬だけでなく「パーパス」。地方企業に求められる“採用力”とは？ |
https://techable.jp/archives/186528
|
中小企業 |
2022-11-16 08:00:35 |
| IT |
情報システムリーダーのためのIT情報専門サイト IT Leaders |
日立インフォメーションエンジニアリング、横浜DCの管理運用を除く事業を日立グループ4社に移管 | IT Leaders |
https://it.impress.co.jp/articles/-/24058
|
日立インフォメーションエンジニアリング、横浜DCの管理運用を除く事業を日立グループ社に移管ITLeaders日立製作所以下、日立は年月日、日立インフォメーションエンジニアリング広島県広島市の事業の一部を年月日付で日立グループの他の会社に移管すると発表した。 |
2022-11-16 17:34:00 |
| python |
Pythonタグが付けられた新着投稿 - Qiita |
【Python】Amazon SP-APIの利用方法 |
https://qiita.com/grapefruit_0514/items/b109f958de55e04fb554
|
httpsdeveloper |
2022-11-16 17:48:30 |
| python |
Pythonタグが付けられた新着投稿 - Qiita |
立地の良し悪しなんて大して知らんワイが機械学習モデルから良い立地とその他いろいろを教わる。 |
https://qiita.com/tomyu/items/be380a099ff5fb32d90b
|
suumo |
2022-11-16 17:47:11 |
| js |
JavaScriptタグが付けられた新着投稿 - Qiita |
Next.jsに入門した |
https://qiita.com/studio_haneya/items/738dda2a8f08ad7d82b1
|
javascript |
2022-11-16 17:06:53 |
| Ruby |
Rubyタグが付けられた新着投稿 - Qiita |
Rails7 ターボリンクスを無効にする |
https://qiita.com/tatsuya312/items/6ab448384c5f8e6910af
|
rails |
2022-11-16 17:49:50 |
| AWS |
AWSタグが付けられた新着投稿 - Qiita |
【Python】Amazon SP-APIの利用方法 |
https://qiita.com/grapefruit_0514/items/b109f958de55e04fb554
|
httpsdeveloper |
2022-11-16 17:48:30 |
| Ruby |
Railsタグが付けられた新着投稿 - Qiita |
配列になっているJSONの値を複数レコードとして保存する |
https://qiita.com/maitake/items/21ba37e59be8d1570f89
|
rails |
2022-11-16 17:34:18 |
| Ruby |
Railsタグが付けられた新着投稿 - Qiita |
Rails 7.0.4のScaffoldで生成されるファイルのサンプル |
https://qiita.com/kaorumori/items/31b0a45d07757d33653e
|
railsnewappcssboots |
2022-11-16 17:07:47 |
| 技術ブログ |
Developers.IO |
【AWS SSMステートマネージャー】複数のEC2インスタンス(Linux)に対するプロセスチェック |
https://dev.classmethod.jp/articles/process-check-by-ssm-state-manager/
|
awsssm |
2022-11-16 08:01:41 |
| 海外TECH |
Ars Technica |
NASA gets its mojo back with a stunning nighttime launch of the SLS rocket |
https://arstechnica.com/?p=1898017
|
orbital |
2022-11-16 08:33:59 |
| 海外TECH |
DEV Community |
Wavelet Buffer In A Nutshell |
https://dev.to/panda-official/wavelet-buffer-in-a-nutshell-4fg2
|
Wavelet Buffer In A NutshellWavelet Buffer is a core technology for data processing in the PANDA Drift Platform It provides the followingfeatures Storing data as wavelet subbands so that you can restore the smallest version of the signalDenoising high frequency spectrumCompressing data with float compression so you can choose the proper “float for your data with adjustable size ofthe mantissa The Simplest Explanation of Wavelet DecompositionThere is a beautiful and tricky math behind the wavelet decomposition but for our engineering tasks it is enough toconsider the wavelet decomposition as a cascade of low pass and high pass filters N resampler When we pass oursignal through the low pass filter we have twice smaller version of our signal approximation or low frequency subband When we passour signal through the high pass filter we have twice smaller subband with details and noise detalization orhigh frequency subband So in the end we have two subbands of N size that can be composed again and we can have the original signal Thisapproach has the following advantages We have noise in the high frequency subband separately of the low frequency signal and we can denoise it by settingthe small values to zero and make the subband sparse This is a critical part because when you measure some vibrationof some machine that is currently stopped you have only noise instead of the signal So we can reduce the size ofthis data almost to zero and store only the real signal on the disk We have a smaller version of the signal in low level subband For example if we would like to show our signal in thebrowser and the monitor has resolution x it doesn t make any sense to provide the signal with the size morethan points So we can compose only some low level subbands without reconstructing the whole original signal In the diagram I showed only one step of the decomposition but we can decompose the signal recursively by applyingthe wavelet decomposition on the low frequency subband again Therefore we can decompose our signal to a few subbands N H freq subband D N H freq subband AD … N M L freq subband ADm where N size of the original signal and M the number of the decomposition steps After the decomposition we have a representation of our signal as an array ofsubbands e ge for steps it will be AAAA ADDD ADD AD D When we make many steps of the decomposition we do betterdenoising and zooming because now we can get signal of sizes N N …or N M if we restore only part of all the steps Wavelet Decomposition can be applied to D matrices the difference is that we have types of subbands Low frequency approximation A High frequency detalization by vertical Dv High frequency detalization by horizontal Dh High frequency detalization by diagonal Dd Here you can see how it looks like for one decomposition step StructureIn a nutshell Wavelet is just a wrapper around the wavelet subbands It has main methods Decompose It decomposes the input signal to the subbands and denoises the high frequency ones Compose It reconstructs the original signal from subbands It may reconstruct only few steps of the decompositionso that we can get approximation of the signal N N or N M N size of original signal Mーnumber decompositionsteps and spare some computation time Serialize However subbands are sparse after denoising they still contain zeros in the memory and occupy thesame memory space as before denoising This method compresses the subbands to binary data with Sparse FloatCompression algorithm We use it before saving a Wavelet Buffer onto the disk or sending it through network You canread about it below Parse Decompresses a Wavelet Buffer and restores subbands Sparse Float CompressionSparse Float Compression Algorithm is a specific compression algorithm to compress sparse float data It does threethings Removing zeros and add leave only values Compressing the data so that the more frequent values spend fewer bits for encoding Casts the values of the subbands to an adjustable float container so that we can choose the size of float mantissa We need it if we have lower resolution of our data and bit float is too big for this The current implementation of the compressor supports the following size of the mantissa Size in bitsCompression level in WaveletBuffer SerializeNo compression The algorithm is bypassed float bfloat warning Because we use float values we always have some error which depends on the range of the values You should adjust compression level by using knowledge about your data Scalar ValuesSome data don t need any denoising and compression for example GPS coordinates or slow data from automation systems Inthis case we can switch off the compression and wavelet composition in WB and make it simple and stupid a vector ormatrix of the data Wavelet FunctionsWaveletBuffer supports a few wavelet functions to tweak the wavelet decomposition NameDescriptionNONENo wavelet decomposition and denoising See Scalar Values for detail DBDaubechies wavelet DB or Haar DBDaubechies wavelet DB |
2022-11-16 08:37:45 |
| 海外TECH |
DEV Community |
The Importance of React Native Development in Healthcare |
https://dev.to/nicholassmithdm/the-importance-of-react-native-development-in-healthcare-4f93
|
The Importance of React Native Development in Healthcare OverviewWith the ever changing landscape of healthcare it is more important than ever for medical technology to be able to adapt quickly React Native is a cutting edge tool that allows developers to create native mobile apps for both iOS and Android using a single code base This flexibility is crucial in an industry that is constantly evolving Not only does React Native allow us to develop cross platform apps quickly and efficiently but it also provides a level of flexibility that is essential in the Healthcare App Development Flexibility and Speed are Key in Healthcare App DevelopmentIn healthcare time is of the essence When a new disease or virus pops up we need to be able to quickly develop a treatment or vaccine The same can be said for developing new medical technologies We need to be able to rapidly prototype and iterate on new ideas React Native allows us to do just that React Native is a JavaScript framework for building native mobile apps It uses the same design as React letting us create reusable UI components The difference is that instead of targeting the web browser it runs on multiple platforms including iOS and Android This cross platform compatibility is key in healthcare app development since we often need to develop for both iOS and Android devices In addition React Native also allows us to use existing Objective C or Java code if we need to This means that we can quickly develop prototypes using existing code bases without having to start from scratch This level of flexibility is crucial when we need to rapidly develop new apps or features Importance of React Native Development in HealthcareHealthcare app development is becoming increasingly important as more and more healthcare providers move to digital platforms React Native is a popular choice for healthcare app development because it allows for cross platform compatibility and high performance Additionally React Native is open source which means that healthcare providers can access the code and make changes as needed This makes React Native a very flexible option for healthcare app development In addition React Native apps can be designed to work with any type of backend making them highly adaptable to changing healthcare needs As healthcare needs continue to evolve React Native will likely become even more popular for healthcare app development Lets have a look on the below points reflecting importance of react native development in healthcare app development Increased Patient EngagementReact Native development can help to increase patient engagement by providing a more interactive and user friendly experience For example a React Native app could be used to allow patients to book appointments view their medical records or receive reminders for medication By making it easier for patients to access and use healthcare services React Native can help to increase overall engagement and satisfaction levels Improved Communication between Patients and Healthcare ProfessionalsReact Native development can also improve communication between patients and healthcare professionals For example a React Native app could be used to allow patients to contact their doctor or nurse directly with any questions or concerns This would provide a more direct and convenient way for patients to communicate with their healthcare team which could lead to better overall care Enhanced Data SecurityAnother benefit of React Native development in healthcare is enhanced data security React Native apps can be built using secure coding practices that help to protect sensitive patient data from being accessed by unauthorized individuals Additionally React Native apps can be deployed on secure servers that are designed specifically for healthcare applications This would help to ensure that patient data is kept safe and secure at all times Increased EfficiencyReact Native development can also help to increase efficiency within healthcare organizations For example a React Native app could be used to automate tasks such as appointment scheduling or prescription renewals This would free up time for healthcare professionals that can then be spent on more important tasks such as patient care Additionally React Native apps can be integrated with existing healthcare systems which would further improve efficiency levels Cost Effective SolutionFinally React Native development is a cost effective solution for healthcare organizations React Native apps can be developed quickly and efficiently which helps to reduce overall costs Additionally React Native apps can be deployed on multiple platforms without the need for additional resources or infrastructure ConclusionReact Native is a powerful tool that allows us to quickly develop cross platform mobile apps helping in healthcare mobile app development In an industry like healthcare where time is of the essence this flexibility is crucial Being able to rapidly prototype and iterate on new ideas is essential for developing new medical technologies and treatments If you re looking for a cutting edge tool that will give you an edge in healthcare app development look no further than React Native |
2022-11-16 08:11:36 |
| 海外TECH |
DEV Community |
Numpy (numerical python) |
https://dev.to/marykariuki90/numpy-numerical-python-4ap2
|
Numpy numerical python Numpy in pythonNumpy is a python library used for working with the arrays Numpy stands for numerical python it is used in performing wide variety of mathemetical operation on arrays It also has functions for working in domain of linear algebra fourier transform and matrices In python there are list that can operate as numpy but list are slow in process therefore numpy helps in solving the problem since NumPy arrays are stored at one continuous place in memory unlike lists so processes can access and manipulate them very efficiently To install numpy we use the following commandpip install numpy Having installed the numpy you have to import the the library using the following command import numpy as npWhere np is an alias used for refering numpy creating an arrayThe array object in NumPy is called ndarray We can create a NumPy ndarray object by using the array function as shown belowimport numpy as np creating an arrayx np array print x print type x Note an array can be into one dimension two dimension or three dimension One dimensional array is an array that has D arrays as its elementsTwo dimensional array An array that has D arrays as its elementsThree dimensional array is An array that has D arrays as its elementsThere are many operations that takes place in numpy arrays which include numpy array indexing numpy array slicing numpy array shape numpy array reshape numpy array split numpy array join Numpy array indexingWe access can array element through indexing by the help of an index number Indexing in D array indexing in D arrayx np array print x OutputIndexing in D array indexing in D arrayy np array print nd element on st row y output Numpy array slicingslicing refers to taking elements from one given index to another given index Slice elements from index to index from the following arrayy np array print y Output Note The result includes the start index but excludes the end index Numpy array shapeThe shape of an array is the number of elements in each dimension NumPy arrays have an attribute called shape that returns a tuple with each index having the number of corresponding elements arr np array print arr shape Output The example above returns which means the array has two rows and columns The first digit represent row and the second one represent columns Numpy array reshapeReshaping refers to changing the shape of an array where we have said that shape in array is the number of elements in each dimension reshaping can be adding or removing number of elements in each dimension reshaping can be from D to Dz np array newarray z reshape print newarray Output Note the array have been reshaped from D array to D array with rows and columnsReshaping D to Dz np array newarray z reshape print newarray Output Note The outermost dimension will have arrays that contains arrays each with elements Numpy joining arrayJoining means putting contents of two or more arrays in a single array x np array y np array arr np concatenate x y print arr Output we can join the arrays using stack functions such as vstack which stacks along the columns lets have an example x np array y np array arr np vstack x y print arr Output Numpy splitting arraySplitting is reverse operation of Joining Joining merges multiple arrays into one and Splitting breaks one array into multiple To split the arrays we use array split function where we pass some arguments which are the array to be split and the number of split x np array arr np array split x print arr Output array array array Note The return value from the example above is an array containing three arrays |
2022-11-16 08:08:14 |
| 海外TECH |
Engadget |
NASA’s successful Artemis 1 rocket launch brings humanity closer to a lunar landing |
https://www.engadget.com/nasa-artemis-1-mission-successful-launch-084330480.html?src=rss
|
NASA s successful Artemis rocket launch brings humanity closer to a lunar landingNASA s Artemis mission has finally launched after several delays caused by engine problems fuel leaks and Mother Nature giving the agency no choice but to reschedule due to tropical storms This is the first time NASA s Space Launch System its most powerful rocket yet and Orion crew vehicle are flying together ーit also officially marks the beginning of the agency s Artemis program which aims to take humanity back to the Moon nbsp There was a tense moment before this latest and successful launch attempt when NASA was unsure if the rocket would lift off The launch team discovered a leak on the launch tower s liquid hydrogen replenish valve and it took some time to tighten the bolts around it In addition the US Space Force had to fix the radar that was going to track the rocket s launch because it suddenly went offline In the end the ground crew managed to fix the hydrogen leak and Space Force found that the radar issue was caused by a bad Ethernet switch NASA had to push back Artemis s launch by around an hour but that was the last time the mission got delayed By AM Eastern SLS was leaving its launchpad The Orion capsule successfully deployed its solar arrays a few minutes later and the core stage s engines powered down so it could break away and fall into the Atlantic Ocean The rocket s second stage will then fire its engine to send Orion on a trajectory to the Moon It will also ultimately break away leaving the crew vehicle to go on a four week journey around the Moon before coming back to Earth Somewhere along the way the capsule will deploy CubeSats designed to perform their own science investigations meant to help future deep space missions Artemis will give NASA the data it needs to ensure that astronauts can safely fly to the Moon aboard the Orion capsule It will also give the agency the opportunity to see whether the vehicle s heat shield can adequately protect the astronauts onboard when it re enters our atmosphere and splashes down into the Pacific Ocean If everything checks out NASA will be able to start planning for Artemis which will be Orion s first crewed mission and will send astronauts on a lunar flyby We are going For the first time the NASA SLS rocket and NASA Orion fly together Artemis I begins a new chapter in human lunar exploration pic twitter com vmCQgftーNASA NASA November |
2022-11-16 08:43:30 |
| 海外科学 |
NYT > Science |
Live Updates: NASA’s Artemis Rocket Launches Toward Moon on Mighty Columns of Flame |
https://www.nytimes.com/live/2022/11/15/science/nasa-artemis-moon-launch
|
Live Updates NASA s Artemis Rocket Launches Toward Moon on Mighty Columns of FlameThe uncrewed mission overcame scrubbed launches hurricanes and late launchpad drama to kick off a key test of America s ability to send astronauts back to the moon |
2022-11-16 08:48:11 |
| 海外科学 |
BBC News - Science & Environment |
Nasa's Artemis Moon rocket lifts off Earth |
https://www.bbc.co.uk/news/science-environment-63643707?at_medium=RSS&at_campaign=KARANGA
|
artemis |
2022-11-16 08:39:58 |
| 医療系 |
医療介護 CBnews |
コロナ感染、日医会長「8波につながる可能性」-インフルとの同時拡大警戒、病床確保呼び掛け |
https://www.cbnews.jp/news/entry/20221116171527
|
定例記者会見 |
2022-11-16 17:55:00 |
| 医療系 |
医療介護 CBnews |
診療報酬改定の影響検証へ、特別調査票決定-来月開始、中医協・総会 |
https://www.cbnews.jp/news/entry/20221116172619
|
中央社会保険医療協議会 |
2022-11-16 17:35:00 |
| 医療系 |
医療介護 CBnews |
23年度薬価改定の範囲で対立、0.625倍か平均以上か-中医協、乖離率縮小で0.625倍なら対象やや拡大 |
https://www.cbnews.jp/news/entry/20221116164309
|
中央社会保険医療協議会 |
2022-11-16 17:05:00 |
| 海外ニュース |
Japan Times latest articles |
Trump’s fresh White House bid to reverberate in Japan |
https://www.japantimes.co.jp/news/2022/11/16/world/trump-new-run-us-presidency/
|
Trump s fresh White House bid to reverberate in JapanJapan s ability to muddle through Trump s term is often attributed to Shinzo Abe but his assassination earlier this year means there are likely few “Trump |
2022-11-16 17:36:37 |
| 海外ニュース |
Japan Times latest articles |
G20 summit exposes Russia’s increased isolation on world stage |
https://www.japantimes.co.jp/news/2022/11/16/world/politics-diplomacy-world/g20-russia-increased-isolation/
|
G summit exposes Russia s increased isolation on world stageIn a leaders declaration the G noted that the conflict is constraining growth disrupting supply chains and heightening energy and food insecurity |
2022-11-16 17:33:24 |
| ニュース |
BBC News - Home |
Spaceport Cornwall granted operating licence |
https://www.bbc.co.uk/news/uk-england-cornwall-63646480?at_medium=RSS&at_campaign=KARANGA
|
launch |
2022-11-16 08:01:39 |
| ビジネス |
ダイヤモンド・オンライン - 新着記事 |
米NASA、月に向け無人宇宙船打ち上げ アルテミス計画第1弾 - WSJ発 |
https://diamond.jp/articles/-/313056
|
無人 |
2022-11-16 17:13:00 |
| GCP |
Google Cloud Platform Japan 公式ブログ |
イスラエル向け Assured Workloads のプレビュー版提供開始のお知らせ |
https://cloud.google.com/blog/ja/products/identity-security/introducing-assured-workloads-for-israel-in-preview/
|
リージョンに保存された鍵で暗号化されたデータは、そのリージョンでのみ復号が可能です。 |
2022-11-16 10:00:00 |
| 北海道 |
北海道新聞 |
斜里で回収のカラスから鳥インフルウイルス検出 今季５例目 |
https://www.hokkaido-np.co.jp/article/761377/
|
鳥インフル |
2022-11-16 17:21:00 |
| 北海道 |
北海道新聞 |
「保育所に顔認証」実証へ 放置死事案の大阪・岸和田で |
https://www.hokkaido-np.co.jp/article/761376/
|
大阪府岸和田市 |
2022-11-16 17:20:00 |
| 北海道 |
北海道新聞 |
「ジェラートピケ」買収 米ファンド、２０００億円規模 |
https://www.hokkaido-np.co.jp/article/761375/
|
部屋着 |
2022-11-16 17:20:00 |
| 北海道 |
北海道新聞 |
１０月の訪日客、４９万人に回復 前年同月比２２・５倍 |
https://www.hokkaido-np.co.jp/article/761374/
|
政府観光局 |
2022-11-16 17:20:00 |
| 北海道 |
北海道新聞 |
海保、防衛相指揮下でも非軍事性 「漁船保護や船舶救難」と長官 |
https://www.hokkaido-np.co.jp/article/761368/
|
海上保安庁 |
2022-11-16 17:16:00 |
| 北海道 |
北海道新聞 |
ニュース利用料、公取委が調査 巨大ＩＴ、不当に安い恐れ |
https://www.hokkaido-np.co.jp/article/761364/
|
公正取引委員会 |
2022-11-16 17:09:00 |
| ビジネス |
東洋経済オンライン |
5代目プリウス｢7年ぶり全面改良｣に見えた超進化 ｢Hybrid Reborn｣をかかげ冬に正式発表へ | 新車レポート | 東洋経済オンライン |
https://toyokeizai.net/articles/-/633381?utm_source=rss&utm_medium=http&utm_campaign=link_back
|
hybridreborn |
2022-11-16 17:45:00 |
| マーケティング |
MarkeZine |
博報堂DYメディアパートナーズ、消費財カテゴリー特化のMMMソリューションを提供 |
http://markezine.jp/article/detail/40612
|
博報堂dyメディアパートナーズ |
2022-11-16 17:30:00 |
| IT |
週刊アスキー |
マッシブ＆ランウェイ！『Fit Boxing 北斗の拳』の新PVが公開 |
https://weekly.ascii.jp/elem/000/004/113/4113377/
|
fitboxing |
2022-11-16 17:30:00 |
| IT |
週刊アスキー |
タイトーの横スクロールSTG『メタルブラック』が「アケアカ」で11月17日に配信決定！ |
https://weekly.ascii.jp/elem/000/004/113/4113373/
|
nintendo |
2022-11-16 17:15:00 |
| IT |
週刊アスキー |
ティアック、HDMI／Bluetooth／USB入力搭載のハイレゾ対応小型アンプ「AI-303」 |
https://weekly.ascii.jp/elem/000/004/113/4113362/
|
販売開始 |
2022-11-16 17:10:00 |
| GCP |
Cloud Blog JA |
イスラエル向け Assured Workloads のプレビュー版提供開始のお知らせ |
https://cloud.google.com/blog/ja/products/identity-security/introducing-assured-workloads-for-israel-in-preview/
|
リージョンに保存された鍵で暗号化されたデータは、そのリージョンでのみ復号が可能です。 |
2022-11-16 10:00:00 |
コメント
コメントを投稿