The app is free to use with some ads in-between.Ī perfect alternative of AirDrop for Windows with advanced and cool features. The best part of Xender is that it has an intuitive and user-friendly interface with a lot of options of choosing files. Once you are done, you can see all the files right on your phone. It’s easy to connect the PC with the mobile by activating the link that Xender provides or by scanning the QR code in the web app. Most probably you already know about Xender as it is quite a popular file sharing app for mobile devices. Xender – A Good Alternative to AirDrop for Windows The file size is not a barrier you can share files of any size. The interface is quite old-fashioned and limited but works fine. You can even drag and drop the files for an easy share option. Select the files from the file manager that you want to share and it’s done. Just install the apps on the devices you need to transfer files to. It is an easy-to-use app if you are looking for an alternative for AirDrop for Windows. Filedropįiledrop is another simple app that will let you share files with devices on the same network. It has a good speed while transferring big files and it is not platform-dependent as it will work with any SHAREit enabled device. You can transfer files like photos, videos, apps, and documents, through a Wi-Fi connection as it creates a direct wireless connection. This is a good alternative to AirDrop for Windows.Starting with its basic features, it lets you transfer files across all the major platforms including phone, computers, tablets.
0 Comments
Textbook content produced by OpenStax is licensed under a Creative Commons Attribution License. Use the information below to generate a citation. Then you must include on every digital page view the following attribution: If you are redistributing all or part of this book in a digital format, Then you must include on every physical page the following attribution: If you are redistributing all or part of this book in a print format, Want to cite, share, or modify this book? This book uses the This book may not be used in the training of large language models or otherwise be ingested into large language models or generative AI offerings without OpenStax's permission. We can use the methods for solving quadratic equations that we learned in this section to solve for the missing side. Because each of the terms is squared in the theorem, when we are solving for a side of a triangle, we have a quadratic equation. We use the Pythagorean Theorem to solve for the length of one side of a triangle when we have the lengths of the other two. It has immeasurable uses in architecture, engineering, the sciences, geometry, trigonometry, and algebra, and in everyday applications. It is based on a right triangle, and states the relationship among the lengths of the sides as a 2 + b 2 = c 2, a 2 + b 2 = c 2, where a a and b b refer to the legs of a right triangle adjacent to the 90° 90° angle, and c c refers to the hypotenuse. This is the easiest method of solving a quadratic equation as long as the binomial or trinomial is easily factorable. One of the most famous formulas in mathematics is the Pythagorean Theorem. How to Solve Quadratic Equations using Factoring Method. As 100 100 is a perfect square, there will be two rational solutions.ī 2 − 4 a c = ( −5 ) 2 − 4 ( 3 ) ( −2 ) = 49. For example, expand the factored expression ( x − 2 ) ( x + 3 ) ( x − 2 ) ( x + 3 ) by multiplying the two factors together.Ĭalculate the discriminant b 2 − 4 a c b 2 − 4 a c for each equation and state the expected type of solutions.ī 2 − 4 a c = ( 4 ) 2 − 4 ( 1 ) ( 4 ) = 0. So, in that sense, the operation of multiplication undoes the operation of factoring. Unit 8 Absolute value equations, functions, & inequalities. Multiplying the factors expands the equation to a string of terms separated by plus or minus signs. Unit 2 Solving basic equations & inequalities (one variable, linear) Unit 3 Linear equations, functions, & graphs. In other words, if the product of two numbers or two expressions equals zero, then one of the numbers or one of the expressions must equal zero because zero multiplied by anything equals zero. Solving by factoring depends on the zero-product property, which states that if a ⋅ b = 0, a ⋅ b = 0, then a = 0 a = 0 or b = 0, b = 0, where a and b are real numbers or algebraic expressions. If a quadratic equation can be factored, it is written as a product of linear terms. Factoring means finding expressions that can be multiplied together to give the expression on one side of the equation. Often the easiest method of solving a quadratic equation is factoring. They are used in countless ways in the fields of engineering, architecture, finance, biological science, and, of course, mathematics. For example, equations such as 2 x 2 + 3 x − 1 = 0 2 x 2 + 3 x − 1 = 0 and x 2 − 4 = 0 x 2 − 4 = 0 are quadratic equations. Factorize ax2+bx+c ax2 +bx+ c into two linear factors. Make the given equation free from fractions and radicals and put it into the standard form ax2+bx+c0. Solving Quadratic Equations by FactoringĪn equation containing a second-degree polynomial is called a quadratic equation. Method of Solving a Quadratic Equation by Factorizing: Step 1. If there is a limited amount of space and we desire the largest monitor possible, how do we decide which one to choose? In this section, we will learn how to solve problems such as this using four different methods. Proportionally, the monitors appear very similar. When there is a negative value as the radicand, we rewrite the radical using the imaginary unit and the solutions are non-real number.The computer monitor on the left in Figure 1 is a 23.6-inch model and the one on the right is a 27-inch model. GSA Bulletin Federal Travel Regulation (FTR) 24-02 Sustainable Transportation for Official Temporary Duty (TDY) Travel.By prioritizing sustainable transportation methods for official travel, many of which have achieved cost parity with other transportation methods, agencies can leverage the Federal demand signal for public transit, automobile, rail, and air travel, which will result in the Federal Government’s saving taxpayer dollars and reducing its environmental footprint. The purpose of this Memorandum is to instruct Federal agencies on prioritizing sustainable transportation for official travel. White House M-24-05, Catalyzing Sustainable Transportation Through Federal Travel.In addition, travel arrangements can be made via e:mail at or A transaction fee is charged for each ticket issued.įor questions about the Travel Management Center, email: ADTRAV Travel Bulletins at: The Reservation Center phone number is 1-88 (same number for emergency after-hours). The Office of the Chief Financial Officer oversees the Travel Management Center (TMC). Passports and Visa Services (Official and Diplomatic)
For such use cases, you use a database to store this persistent data. For example, the app might store a playlist of songs, items on a to-do list, records of expenses and income, a catalog of constellations, or a history of personal data. If the data is small and simple, then Shared Preferences should be used.Most production-quality apps have data that the app needs to persist. If the data is large and complex, then SQLite is the best option. When deciding which one to use for your Android app, it is important to consider the type and amount of data to be stored. In Conclusion, SQLite and Shared Preferences both have their own strengths and weaknesses. It is open and accessible to anyone with access to the database server or machine it is hosted on regardless of their platform or device type. It is stored in a private partition accessible only by the application that created it thus ensuring security. It supports features like triggers, indexes, foreign key constraints, cursors and transactions. It does not support such features as triggers and transactions due to its limited purpose and size. It can store large amounts of structured data. It stores small amounts of primitive data as key-value pairs in an XML file on the device file system. SQLite Allows for easy retrieval of data associated with specific user interactions. Shared Preference is designed to store primitive data like strings, numbers, Booleans, etc. If you are looking to store huge amounts of data then you can choose to use SQLite database where as if you are looking to store very small amounts of data such as a string then you can use Shared Preference to store the data. If you are looking for the appropriate database to be used within your application you should check with the use cases which you want to consider for your application. Comparatively shared preference is easy to configure as we are storing the data in the form of key and value pair and the data stored with the shared preference is easy to access. SQLite provides more power to store the complex data within an android application but it is a little bit difficult to configure it while building an android application. It is a relational database whereas Shared Preference stores a very small amount of data. SQLite can store complex and huge amounts of data at a time. The main difference between Shared Preference and SQLite database is that Shared Preference is only able to store a small amount of data whereas SQLite can store huge amounts of data in the form of tables.Īs Shared Preference stores the data in the form of key and value pair so the data stored in Shared Preference is easy to access whereas for accessing the data from SQLite database we have to write some queries. What is the difference between Shared Preference and SQLite database? This type of storage is generally used to store small amounts of data such as a string, boolean or an integer value. Shared Preference is used to store the data in the form of key and value pair and the data which is stored can be easily accessed within our android application with the help of the key which we have used to store the data. It is also not ideal for large amounts of data as it can become slow and inefficient. It is not designed to handle complex data structures and queries. It is mainly used for storing small pieces of data, like user preferences, settings, and flags. Shared Preferences, on the other hand, is a simple key-value storage system. In this database the data is stored in the form of columns and column header is used to access the data from the specific column. SQLite database is basically used to store the data of the android application in the form of tables. It also allows developers to write their own custom queries. SQLite is great for apps that require complex data queries and data manipulation. It is ideal for storing data that needs to be structured and accessed frequently. It does not require any configuration and is extremely easy to set up and use. SQLite is an open-source, lightweight, and self-contained relational database management system. In this article we will be mostly focusing on SQLite database and Shared Preferences which are being used in mobile applications. Room database and Sqlite database are similar which are used to store the data in the form of tables whereas shared preference is used to store the data in the form of key and value pairs. Each of them has their own advantages and disadvantages. We can store data in our android application in different ways such as by using SQLite database, Room Database, Shared Preferences and many more. There are many storage service providers in android applications which we can use to store data within our android application. VR Kanojo is a whole new kind of friendship in a virtual space. IMVU: A social platform with 3D avatars for meeting people and exploring user-created worlds.My Candy Love: A romantic dating game where you navigate love stories and relationships.Second Life: An online world to live a different virtual life, meet others, and build spaces.The Sims: Create and control digital people’s lives, homes, and stories.Summer Lesson: A VR game where you tutor and interact with students in immersive lessons.Might Feel Weird: Sometimes it feels odd talking to someone who isn’t real.Expensive Gear: You need a VR headset and controllers, which can cost quite a bit.Can Be Tiring: Wearing the VR headset for too long might make you need rest.Needs Space: You should have a good amount of room to move safely.Mix It Up: Changing Sakura’s clothes gives you new ways to play every day.Lots to Do: You can do different things and talk about all sorts of stuff.Fun Interactions: Using your hands in the game feels cool and new.Feels Real: The VR makes it seem like you’re really with Sakura.Look around and you might find some surprises. Look Around: There’s more to see in Sakura’s room than just her. Try All the Outfits: Sakura has lots of clothes to choose from.It’s okay to take breaks and come back later. Take Breaks: If you spend a lot of time in VR, you might feel dizzy or tired.This is important for chatting with Sakura. Nod and Shake: Remember, you can say yes or no by nodding or shaking your head.Get Comfy with the Controls: Spend a little time learning how the VR controllers work.Does she wear a school uniform today, or maybe something for a special occasion? You decide! This way, every time you play, you can try new styles and see which ones you like best. VR Kanojo free download lets you change how Sakura looks by picking out clothes for her. This makes chatting with her fun because you use body movements instead of pressing buttons. This means you can move things around and even high-five Sakura! You answer her questions by nodding or shaking your head. With VR controllers, your hands become part of Game VR Kanojo Android APK. It’s very different from playing a game on your phone or TV because everything looks 3D and life-like. You can look all around, and it feels like a real place. When you put on the VR headset, it’s like stepping into Sakura’s bedroom. The coolest thing about VR Kanojo Mod APK is that it uses virtual reality. It’s like making a new friend, but in a video game!įeel Like You’re There with Virtual Reality You can talk and spend time together in her room. This game is played with a virtual reality headset, which means it feels like you’re really there with her. VR Kanojo APK is a special kind of game where you get your own virtual girlfriend, Sakura Yuuhi. If you push too hard, you will have ZERO opportunities in the future. All options come as PDF digital downloads. Choose from various staff sizes and page orientations to write your music on, or choose the Teacher Packet and get all sizes and orientations in one file. If you are patient, you will have MANY opportunities to teach them to notate in the future. This FREE manuscript paper includes the Grand Staff clefs and brackets for your convenience writing music for piano. Do it for them and then move on, or move on and then come back and do it for them. The minute you see a student looking overwhelmed, stop.
Updated documentation for STM32Cube Framework usage. This pack only contains a subset of the files from STM32Cube_FW_F0 version 1.9.0 (ST Drivers, STM32Cube documentation and fonts). New projects require the component 'Device:STM32Cube Framework:STM32CubeMX' from the STM32Cube MX bundle for configuration of pins and clocks via STM32CubeMX. Keil provides several real-time operating systems and middleware components that are fully integrated into the C Compiler languages that we support. STM32CubeMX is mandatory for use of CMSIS-Driver and MDK-Middleware. Or Standalone (no support for STM32CubeMX). This DFP works either with STM32CubeMX (STM32CubeMX V4.23.0 and STM32Cube_FW_F0 V1.9.0 or higher) Keil makes C compilers, macro assemblers, real-time kernels, debuggers, simulators, integrated environments, evaluation boards, and emulators for the ARM, XC16x/C16x/ST10, 251, and 8051 microcontroller families. Corrected transmitted count for non-control IN endpoints. Updated USBD_EndpointConfigure function to check that maximum packet size requested fits into configured FIFO (compile time configured). USART: Corrected UARTx/USARTx related identifiers. Corrected pin configuration: MX_I2C2_SMBA_GPIO_PuPdOD replaced with MX_I2Cx_yyy_GPIO_PuPdOD. Corrected abort message send functionality. Corrected MessageSend function to only access required data for sending. Corrected SetMode function to clear Silent and Loopback mode when NORMAL mode is activated. Corrected SetBitrate function to leave Silent and Loopback mode as they were. Updated generation of macros: Added handling for '(' and ')' symbols. Corrected launching STM32CubeMX via "play" button for existing projects overwrites with a new STM32CubeMX project file instead of loading it. Added support for Timebase Source TIMx in gpdsc.ftl. Added capability to launch the Option Byte Loading after flash download. Corrected flash programming algorithms. Updated Cube FW to STM32Cube_FW_F0 V1.11.0. This should resolve the issue and display the Arabic characters correctly in Excel. Changed variant selection to "MDK-Plus". In the Save As dialog box, select 'UTF-8' as the encoding format. Updated all examples with user templates from MDK-Middleware v7.11.1. Getting started with STM32 using MDK-ARM IDE from Keil. Changed Assembler option to armclang(Auto Select). How to set up a Keil IDE 5 Project - Program the STM32F4 Discovery Board. Overridden default HAL_InitTick function. Removed include of stm32f0xx_hal_pcd.h header. Corrected device in board description attribute 'mountedDevice'. Removed unnecessary condition for 'emWin LCD' and 'Graphics Display' components (Removed SPI CMSIS Driver). STM32072B-EVAL, STM32091C-EVAL: Added board components drivers. Added global define USE_HAL_DRIVER and USE_FULL_LL_DRIVER to the component ::Device:STM32Cube HAL:COMMON. Added global define USE_HAL_DRIVER and USE_FULL_LL_DRIVER to the component ::Device:STM32Cube Framework:STM32CubeMX. STM32CubeMX integration: Synchronized versions of generated component ::Device:STM32Cube Framework:STM32CubeMX (in gpdsc) and its bootstrap (in pdsc). Updated Pack to STM32Cube_FW_F0 Firmware Package version V1.11.3. To find out more about Disney Plus, read our guide Should you get Disney+ in Ireland? Alternatively, look out for 3rd party offers to get a free three or six-month subscription. There’s no Disney+ free trial running at the moment but Disney+ sometimes run discounted introductory offers. New channel, Star, featuring a wider range of movies and TV shows, like Die Hard, The Walking Dead, Deadpool and Buffy the Vampire Slayer.Fascinating National Geographic documentaries like The World according to Jeff Goldblum and Hostile Planet.Marvel blockbusters like The Avengers Endgame, Iron Man 1-3 & Black Panther.Family favourites like Frozen, The Lion King, Toy Story 1-4 Raya and the last Dragon and Luca.Stars Wars past & present, including Star Wars episodes I to VIII, Andor and The Skywalker Saga.Exclusive Disney+ Originals like Wanda Vision & Marvel’s The Falcon, Loki and the Winter Soldier.It has a huge selection of video content with thousands of movies, TV series and old classics.Įnjoy these great features from comfort of your living room: To learn more about Amazon Prime Video, read our guide Should you get Amazon Prime Video in Ireland?ĭisney+ is the most recent addition to the streaming services family, rivalling Netflix and Prime Video for high-quality video content. The complete Prime Video catalogue on .uk is only available to Prime members living in the UK. Try Amazon Prime Video with a 7-day free trial, and if you like what you see, pay a monthly fee to continue watching. You can either pay monthly for Amazon Prime Video only or join Amazon Prime and access it as one of the many benefits of Amazon Prime membership. The latest season of The Grand Tour, The Handmaid’s Tale and Clarkson’s Farm.Exclusive access to live sports events like the Autumn Nations Cup & Open Tennis.Award-winning TV series like Fleabag, Reacher, Three Pines and The Devils Hour.Amazon Originals like The Rings of Power and recent releases like No Time to Die and The Summer I Turned Pretty.You can view exclusive Amazon Originals and thousands of popular movies and TV shows via on up to three devices at the same time. Rather than sending latency-sensitive tasks through the normal satellite receiver system, HughesNet Fusion plans use multipath technology to send these signals along wireless connections for a faster and more consistent user experience. However, HughesNet’s Fusion plans aim to deal with these latency issues. A latency of 700 to 800 milliseconds is average for satellite service, compared to 40 to 100 milliseconds with cable or DSL service. This lag can interfere with time-sensitive applications like gaming or two-way video. The concern with this setup is high latency, or lag, which is the time it takes for data to travel between you, the provider, and the satellite. Satellite internet from HughesNet has three key parts: the transmitter that sends data to space, the satellite that receives the data, and the dish in subscribers’ yards that picks up the signal. In fact, HughesNet satellite internet plans only reach download speeds up to 100 Mbps. Most current satellite services fall short of wired alternatives in terms of both overall performance and reliability. That said, HughesNet does limit your access to 50 GB per month during these periods as well. During these hours, you can stream and download to your heart’s content without using your data allowance. to 8 a.m., where data cap restrictions are lifted. HughesNet also offers a “Bonus Zone” from 2 a.m. As mesured on over 24 hour period I have experienced DL speeds of 1.2mb, 6.4mb.4mb. For now, it’s an option if you think you’ll exceed your allowance in a given month. It can quickly get expensive if you purchase data tokens frequently. The prices of these tokens vary based on the amount you’re purchasing. HughesNet’s “data tokens” extend the amount of data you can use in a given month. Fortunately, HughesNet offers two ways to use and get more data: bonus data and data tokens. While HughesNet offers enough speed to browse the internet and stream in HD, heavy internet users, large families, and gaming and streaming fans may find the soft data caps quite restrictive. While the highest download speeds from HughesNet reach 100 Mbps, your HughesNet plan pricing will mostly depend on the soft data cap of your plan, which ranges from 15 to 200 GB. HughesNet plans come in three levels: Select, Elite, and Fusion. is better (IMO) and it provides a lot of information, plus its the one the engineers at Hughesnet seem to prefer. Not ideal for intense online activities I dont use the proprietary one (doesnt even load for me anymore). Receive your HughesNet satellite internet speeds using your device at your current location in just seconds.HughesNet Internet Services Best features We can monitor progress of the task with: GET _tasks/Īlternatively, track progress by watching Inference count increase in the model stats API or model stats UI. Given that reindex will take some time to process all documents and infer on them, we do reindex in the background by invoking the API with the wait_for_completion=false flag. Note: from Elasticsearch v 8.11, it is optional to provide dims, index and similarity parameters in the mapping of dense_vector.įinally, we are ready to reindex. But if we want to have more control on index mapping, we can define it as following: PUT collection-with-embeddings From Elasticsearch v 8.11, it is not necessary anymore to define index mapping for dense_vector field - long float arrays are automatically mapped as dense_vector field with correct number of dimensions set. We want to reindex documents from the collection index into the new collection-with-embeddings index by pushing documents through text-embeddings pipeline, so that documents in the collection-with-embeddings index have an additional field for passages’ embeddings. We should see the predicted dense vector as the result: " "text_field": "how is the weather in jamaica" We can test the successful deployment of the model by using this example in Kibana Console: POST /_ml/trained_models/sentence-transformers_msmarco-minilm-l12-cos-v5/deployment/_infer To speed up inferences, you can increase the number of inference threads with inference_threads parameter. This time, -task-type is set to text_embedding and the -start option is passed to the Eland script so the model will be deployed automatically without having to start it in the Model Management UI. hub-model-id sentence-transformers/msmarco-MiniLM-L12-cos-v5 \ Running a script below imports our model into our cluster and deploys it: eland_import_hub_model We install the model with the Eland docker agent that we built in the NER example. Besides this model, Elasticsearch supports a number of other models for text embedding. This model is optimized for semantic search and was specifically trained on the MS MARCO Passage dataset, making it suitable for our task. This is a sentence-transformer model that takes a sentence or a paragraph and maps it to a 384-dimensional dense vector. For our model we use msmarco-MiniLM-L12-cos-v5 from Hugging Face. The first step is to install a text embedding model. We hope to also do a quick verification of the quality of produced results from the vector search. In our example we will work with a sample of this dataset, use a model to produce text embeddings, and then run vector search on it. This dataset is a perfect resource for testing vector similarity search, firstly, because question-answering is a one of the most common use cases for vector search, and secondly, the top papers in the MS MARCO leaderboard use vector search in some form. It consists of real questions from the Microsoft Bing search engine and human generated answers for them. We will use a public dataset from the MS MARCO Passage Ranking Task for demonstration. For this, contents in the textual form first need to be converted to their numeric vector representations using a text embedding model. Vector similarity search operates on dense vectors and uses k-nearest neighbour search to find similar vectors. Vector similarity search or, as is commonly called semantic search, goes beyond the traditional keyword based search and allows users to find semantically similar documents that may not have any common keywords thus providing a wider range of results. We will then show how to use those embeddings in the vector similarity search to find semantically similar documents for a given query. We will deploy a publicly available model on Elasticsearch and use it in an ingest pipeline to generate embeddings from textual documents. As part of our natural language processing (NLP) blog series, we will walk through an example of using a text embedding model to generate vector representations of textual contents and demonstrating vector similarity search on generated vectors. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |