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LBR (file format)

The .LBR file format was an archive file format used on CP/M and DOS operating systems during the early 1980s. .LBR files were created by the LU program; later programs like NULU arrived for .LBR creation, and many tools such as LT and QL were capable of extracting from .LBR archives. .LBR is an abbreviation of "Library", and, resembling the .tar file format, member files were only stored in the .LBR file, not compressed. As transfer of LBR files by modem was common, it was typical practice for archiving a collection of files to compress them using the SQ or CRUNCH programs then store them in an .LBR archive, or else (more rarely) store the files in the LBR archive, then use SQ or CRUNCH to compress the archive. A compressed LBR archive file was given the extension ".LQR" (if squeezed) or ".LZR" (if crunched); however, it was more common to compress the members of the archive than to compress the archive as a whole.

As MS-DOS and other operating systems became more popular and displaced CP/M, .LBR's popularity waned. The development of the ARC archiver which both compressed and archived files in one program went a long way towards displacing .LBR on MS-DOS systems; on CP/M systems, .LBR persisted longer due to the lack of a useful ARC port.

LQR

LQR is a three-letter acronym that may refer to:

  • Linear-quadratic regulator
  • Law of Quadratic Reciprocity
  • Law Quarterly Review
  • Link Quality Report

  • This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/LQR

    Podcasts:

    • What Is Linear Quadratic Regulator (LQR) Optimal Control? | State Space, Part 4

      Check out the other videos in the series: https://youtube.com/playlist?list=PLn8PRpmsu08podBgFw66-IavqU2SqPg_w Part 1 - The state space equations: https://youtu.be/hpeKrMG-WP0 Part 2 - Pole placement: https://youtu.be/FXSpHy8LvmY Part 3 - Observability and Controllability: https://youtu.be/BYvTEfNAi38 The Linear Quadratic Regulator (LQR) LQR is a type of optimal control that is based on state space representation. In this video, we introduce this topic at a very high level so that you walk away with a general understanding of the control problem and can build on this understanding when you are studying the math behind it. This video will cover what it means to be optimal and how to think about the LQR problem. At the end I’ll show you some examples in MATLAB that I think will help you ga...

      published: 05 Feb 2019
    • Why the Riccati Equation Is important for LQR Control

      This Tech Talk looks at an optimal controller called linear quadratic regulator, or LQR, and shows why the Riccati equation plays such an important role in solving it efficiently. The talk walks through three different ways that the LQR problem can be solved: an intuitive, but ultimately inefficient brute force way; a more efficient learning algorithm way; and then the most efficient approach, which is accomplished analytically using the algebraic Riccati equation. Want to see all the references in a nice, organized list? Check out this journey on Resourcium: https://bit.ly/3NOIWeg - Design and Simulate Kalman Filter Algorithms: https://bit.ly/3Obq3n5 - Explanation of “Completing the Square” for LQR by Laurent Lessard: https://bit.ly/3Dio9e5 - Train Custom LQR Agent: https://bit.ly/450R...

      published: 02 Aug 2023
    • Introduction to Linear Quadratic Regulator (LQR) Control

      In this video we introduce the linear quadratic regulator (LQR) controller. We show that an LQR controller is a full state feedback controller where the gain matrix K is computed by solving an optimization problem. Topics and time stamps: 0:00 - Introduction 4:01 - Introduction to Optimization 19:24 - Setting up the cost function (Q and R matrices) 41:36 - Solving the Algebraic Ricatti Equation 1:01:05 - Example of LQR in Matlab 1:17:09 - Using LQR to address practical implementation issues with full state feedback controllers In addition, some videos that may be helpful or relevant to the discussion at hand include: -Introduction to Full State Feedback Control (https://youtu.be/1zIIcYfp5QA) -Practical Implementation Issues with a Full State Feedback Controller (https://youtu.be/9vCT...

      published: 03 Dec 2018
    • LQR controller for tracking rather than just regulating! An example in Matlab

      This video shows how to use LQR controller to enforce a state in a given dynamic system (state space) to track a desired reference rather than be regulated to zero. Also watch: LQG controller for tracking a given reference! An example in Matlab: https://youtu.be/7v7U-ydCWV8 Type 1 Servo (reference tracking) for Plants with no Integrator – Inverted pendulum with MATLAB Code: https://youtu.be/PlWwDDyQ7C0

      published: 06 Oct 2022
    • PID controller Vs LQR Controller for rotary inverted pendulum || STRIPS 1.0

      published: 12 Dec 2021
    • Linear Quadratic Regulator (LQR) Control for the Inverted Pendulum on a Cart [Control Bootcamp]

      Here we design an optimal full-state feedback controller for the inverted pendulum on a cart example using the linear quadratic regulator (LQR). In Matlab, we find that this is a simple one-line command 'lqr'. These lectures follow Chapter 8 from: "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz Amazon: https://www.amazon.com/Data-Driven-Science-Engineering-Learning-Dynamical/dp/1108422098 Chapters available at: http://databookuw.com/databook.pdf Book Website: http://databookuw.com Brunton Website: eigensteve.com This video was produced at the University of Washington

      published: 29 Jan 2017
    • Self Balance Robot Ardra Lab | PID vs LQR | position locking | freelancing

      The robot is able to maneuver in any terrain with balancing it self on 2 wheels We #design #products with #research and #excellence so that you can #commit to your #customers. - Electronics prototyping - Embedded systems design - Robotics and automation - Internet of Things (IoT) solutions - Circuit and PCB design - Firmware development Visit: ardralab.com

      published: 12 Nov 2022
    • Linear Quadratic Regulator (LQR) in Python - Detailed Explanation - Control Engineering Tutorial

      #controltheory #robotics #controlengineering #mechatronics #machinelearning #electricalengineering #signalprocessing #python #pythontutorial #signals_systems #machinelearning #optimization #robotics #electricalengineering #mechanicalengineering #autonomoussystems #robots #simulation #optimalcontrol It takes a significant amount of time and energy to create these free video tutorials. You can support my efforts in this way: - Buy me a Coffee: https://www.buymeacoffee.com/AleksandarHaber - PayPal: https://www.paypal.me/AleksandarHaber - Patreon: https://www.patreon.com/user?u=32080176&fan_landing=true - You Can also press the Thanks YouTube Dollar button In this control systems and control engineering tutorial, we explain how to implement the linear quadratic regulator (LQR) in Python. We ...

      published: 01 Aug 2023
    • Core Concepts: Linear Quadratic Regulators

      We explore the concept of control in robotics, notably Linear Quadratic Regulators (LQR). We see that a powerful way to think about control is as a dynamic optimization, where the goal is to compute a mapping from states to action that minimize a user-specified cost, e.g. land a rocket without exploding. Moreover, you can do this efficiently thanks to Bellman’s insight that the optimal value of a state at your current time is simply the minimum one-step cost + the optimal value at the next time, suggesting an elegant iterative procedure. What makes LQR special is that you can do this analytically because the optimal value function is a quadratic! This property grants LQR a first-class status as theoretically fundamental and practically powerful. Notebook for LQR applied to inverted pendu...

      published: 25 Nov 2021
    • Overview of LQR for System Control

      This video describes the core component of optimal control, developing the optimization algorithm for solving for the optimal control values assuming one has access to all state variables.

      published: 05 Oct 2022
    developed with YouTube
    What Is Linear Quadratic Regulator (LQR) Optimal Control? | State Space, Part 4
    17:24

    What Is Linear Quadratic Regulator (LQR) Optimal Control? | State Space, Part 4

    • Order:
    • Duration: 17:24
    • Uploaded Date: 05 Feb 2019
    • views: 307270
    Check out the other videos in the series: https://youtube.com/playlist?list=PLn8PRpmsu08podBgFw66-IavqU2SqPg_w Part 1 - The state space equations: https://youtu.be/hpeKrMG-WP0 Part 2 - Pole placement: https://youtu.be/FXSpHy8LvmY Part 3 - Observability and Controllability: https://youtu.be/BYvTEfNAi38 The Linear Quadratic Regulator (LQR) LQR is a type of optimal control that is based on state space representation. In this video, we introduce this topic at a very high level so that you walk away with a general understanding of the control problem and can build on this understanding when you are studying the math behind it. This video will cover what it means to be optimal and how to think about the LQR problem. At the end I’ll show you some examples in MATLAB that I think will help you gain a little intuition about LQR. Check out these other resources! Download the code for the UFO animation: http://bit.ly/2tbHFVJ Integral action: http://bit.ly/2t4hwIr LQR by Christopher Lum: https://youtu.be/wEevt2a4SKI LQR by Steven Brunton: https://youtu.be/1_UobILf3cc Solving LQR problem: http://bit.ly/2t5gc8k Learn more about State Space Models: http://bit.ly/2HrtZQy ----------------------------------------------------------------------------------------------------------- Get a free product Trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2019 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
    https://wn.com/What_Is_Linear_Quadratic_Regulator_(Lqr)_Optimal_Control_|_State_Space,_Part_4
    Why the Riccati Equation Is important for LQR Control
    14:30

    Why the Riccati Equation Is important for LQR Control

    • Order:
    • Duration: 14:30
    • Uploaded Date: 02 Aug 2023
    • views: 31163
    This Tech Talk looks at an optimal controller called linear quadratic regulator, or LQR, and shows why the Riccati equation plays such an important role in solving it efficiently. The talk walks through three different ways that the LQR problem can be solved: an intuitive, but ultimately inefficient brute force way; a more efficient learning algorithm way; and then the most efficient approach, which is accomplished analytically using the algebraic Riccati equation. Want to see all the references in a nice, organized list? Check out this journey on Resourcium: https://bit.ly/3NOIWeg - Design and Simulate Kalman Filter Algorithms: https://bit.ly/3Obq3n5 - Explanation of “Completing the Square” for LQR by Laurent Lessard: https://bit.ly/3Dio9e5 - Train Custom LQR Agent: https://bit.ly/450RxBN - Linear-Quadratic Regulator (LQR) Design: https://bit.ly/44EX5l5 -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2023 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
    https://wn.com/Why_The_Riccati_Equation_Is_Important_For_Lqr_Control
    Introduction to Linear Quadratic Regulator (LQR) Control
    1:36:07

    Introduction to Linear Quadratic Regulator (LQR) Control

    • Order:
    • Duration: 1:36:07
    • Uploaded Date: 03 Dec 2018
    • views: 132744
    In this video we introduce the linear quadratic regulator (LQR) controller. We show that an LQR controller is a full state feedback controller where the gain matrix K is computed by solving an optimization problem. Topics and time stamps: 0:00 - Introduction 4:01 - Introduction to Optimization 19:24 - Setting up the cost function (Q and R matrices) 41:36 - Solving the Algebraic Ricatti Equation 1:01:05 - Example of LQR in Matlab 1:17:09 - Using LQR to address practical implementation issues with full state feedback controllers In addition, some videos that may be helpful or relevant to the discussion at hand include: -Introduction to Full State Feedback Control (https://youtu.be/1zIIcYfp5QA) -Practical Implementation Issues with a Full State Feedback Controller (https://youtu.be/9vCTokJ5RQ8) -Introduction to Linear State Estimation (TBD) The Matlab/Simulink files associated with this video are located at: -http://faculty.washington.edu/lum/EducationalVideoFiles/Controls05/LQRIntro.nb -http://faculty.washington.edu/lum/EducationalVideoFiles/Controls05/IntroToLQR.m -http://faculty.washington.edu/lum/EducationalVideoFiles/Controls05/IntroToLQR_model.slx You can support this channel via Patreon at https://www.patreon.com/christopherwlum. Thank you for your help!
    https://wn.com/Introduction_To_Linear_Quadratic_Regulator_(Lqr)_Control
    LQR controller for tracking rather than just regulating! An example in Matlab
    7:43

    LQR controller for tracking rather than just regulating! An example in Matlab

    • Order:
    • Duration: 7:43
    • Uploaded Date: 06 Oct 2022
    • views: 22764
    This video shows how to use LQR controller to enforce a state in a given dynamic system (state space) to track a desired reference rather than be regulated to zero. Also watch: LQG controller for tracking a given reference! An example in Matlab: https://youtu.be/7v7U-ydCWV8 Type 1 Servo (reference tracking) for Plants with no Integrator – Inverted pendulum with MATLAB Code: https://youtu.be/PlWwDDyQ7C0
    https://wn.com/Lqr_Controller_For_Tracking_Rather_Than_Just_Regulating_An_Example_In_Matlab
    PID controller Vs LQR Controller for rotary inverted pendulum || STRIPS 1.0
    0:07

    PID controller Vs LQR Controller for rotary inverted pendulum || STRIPS 1.0

    • Order:
    • Duration: 0:07
    • Uploaded Date: 12 Dec 2021
    • views: 6246
    https://wn.com/Pid_Controller_Vs_Lqr_Controller_For_Rotary_Inverted_Pendulum_||_Strips_1.0
    Linear Quadratic Regulator (LQR) Control for the Inverted Pendulum on a Cart [Control Bootcamp]
    13:04

    Linear Quadratic Regulator (LQR) Control for the Inverted Pendulum on a Cart [Control Bootcamp]

    • Order:
    • Duration: 13:04
    • Uploaded Date: 29 Jan 2017
    • views: 221906
    Here we design an optimal full-state feedback controller for the inverted pendulum on a cart example using the linear quadratic regulator (LQR). In Matlab, we find that this is a simple one-line command 'lqr'. These lectures follow Chapter 8 from: "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz Amazon: https://www.amazon.com/Data-Driven-Science-Engineering-Learning-Dynamical/dp/1108422098 Chapters available at: http://databookuw.com/databook.pdf Book Website: http://databookuw.com Brunton Website: eigensteve.com This video was produced at the University of Washington
    https://wn.com/Linear_Quadratic_Regulator_(Lqr)_Control_For_The_Inverted_Pendulum_On_A_Cart_Control_Bootcamp
    Self Balance Robot Ardra Lab | PID vs LQR | position locking | freelancing
    0:25

    Self Balance Robot Ardra Lab | PID vs LQR | position locking | freelancing

    • Order:
    • Duration: 0:25
    • Uploaded Date: 12 Nov 2022
    • views: 9044
    The robot is able to maneuver in any terrain with balancing it self on 2 wheels We #design #products with #research and #excellence so that you can #commit to your #customers. - Electronics prototyping - Embedded systems design - Robotics and automation - Internet of Things (IoT) solutions - Circuit and PCB design - Firmware development Visit: ardralab.com
    https://wn.com/Self_Balance_Robot_Ardra_Lab_|_Pid_Vs_Lqr_|_Position_Locking_|_Freelancing
    Linear Quadratic Regulator (LQR) in Python - Detailed Explanation - Control Engineering Tutorial
    37:07

    Linear Quadratic Regulator (LQR) in Python - Detailed Explanation - Control Engineering Tutorial

    • Order:
    • Duration: 37:07
    • Uploaded Date: 01 Aug 2023
    • views: 4725
    #controltheory #robotics #controlengineering #mechatronics #machinelearning #electricalengineering #signalprocessing #python #pythontutorial #signals_systems #machinelearning #optimization #robotics #electricalengineering #mechanicalengineering #autonomoussystems #robots #simulation #optimalcontrol It takes a significant amount of time and energy to create these free video tutorials. You can support my efforts in this way: - Buy me a Coffee: https://www.buymeacoffee.com/AleksandarHaber - PayPal: https://www.paypal.me/AleksandarHaber - Patreon: https://www.patreon.com/user?u=32080176&fan_landing=true - You Can also press the Thanks YouTube Dollar button In this control systems and control engineering tutorial, we explain how to implement the linear quadratic regulator (LQR) in Python. We use a mass spring damper system as a test case. We design an LQR controller for non-zero set points. This means that we need to design a steady-state desired control inputs. We use the Python Control Systems Library to implement the LQR controller.
    https://wn.com/Linear_Quadratic_Regulator_(Lqr)_In_Python_Detailed_Explanation_Control_Engineering_Tutorial
    Core Concepts: Linear Quadratic Regulators
    24:36

    Core Concepts: Linear Quadratic Regulators

    • Order:
    • Duration: 24:36
    • Uploaded Date: 25 Nov 2021
    • views: 3570
    We explore the concept of control in robotics, notably Linear Quadratic Regulators (LQR). We see that a powerful way to think about control is as a dynamic optimization, where the goal is to compute a mapping from states to action that minimize a user-specified cost, e.g. land a rocket without exploding. Moreover, you can do this efficiently thanks to Bellman’s insight that the optimal value of a state at your current time is simply the minimum one-step cost + the optimal value at the next time, suggesting an elegant iterative procedure. What makes LQR special is that you can do this analytically because the optimal value function is a quadratic! This property grants LQR a first-class status as theoretically fundamental and practically powerful. Notebook for LQR applied to inverted pendulum: https://colab.research.google.com/drive/1ofAmq3M4lMMXfSOpR-B_38WPSxDqSDdM?usp=sharing References: 1. Bagnell, Boots: https://homes.cs.washington.edu/~bboots/RL-Fall2020/Lectures/LQR_notes.pdf 2. Russ Tedrake's lecture: https://underactuated.mit.edu/lqr.html Check out the full series "Core Concept in Robotics": https://www.youtube.com/playlist?list=PLQZQ7N26C6bbhXHuongGbbeVLl-PKkJ6K
    https://wn.com/Core_Concepts_Linear_Quadratic_Regulators
    Overview of LQR for System Control
    8:56

    Overview of LQR for System Control

    • Order:
    • Duration: 8:56
    • Uploaded Date: 05 Oct 2022
    • views: 3415
    This video describes the core component of optimal control, developing the optimization algorithm for solving for the optimal control values assuming one has access to all state variables.
    https://wn.com/Overview_Of_Lqr_For_System_Control
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    What Is Linear Quadratic Regulator (LQR) Optimal Control? | State Space, Part 4

    Check out the other videos in the series: https://youtube.com/playlist?list=PLn8PRpmsu08podBgFw66-IavqU2SqPg_w Part 1 - The state space equations: https://youtu.be/hpeKrMG-WP0 Part 2 - Pole placement: https://youtu.be/FXSpHy8LvmY Part 3 - Observability and Controllability: https://youtu.be/BYvTEfNAi38 The Linear Quadratic Regulator (LQR) LQR is a type of optimal control that is based on state space representation. In this video, we introduce this topic at a very high level so that you walk away with a general understanding of the control problem and can build on this understanding when you are studying the math behind it. This video will cover what it means to be optimal and how to think about the LQR problem. At the end I’ll show you some examples in MATLAB that I think will help you gain a little intuition about LQR. Check out these other resources! Download the code for the UFO animation: http://bit.ly/2tbHFVJ Integral action: http://bit.ly/2t4hwIr LQR by Christopher Lum: https://youtu.be/wEevt2a4SKI LQR by Steven Brunton: https://youtu.be/1_UobILf3cc Solving LQR problem: http://bit.ly/2t5gc8k Learn more about State Space Models: http://bit.ly/2HrtZQy ----------------------------------------------------------------------------------------------------------- Get a free product Trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2019 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
    17:24
    What Is Linear Quadratic Regulator (LQR) Optimal Control? | State Space, Part 4
    Check out the other videos in the series: https://youtube.com/playlist?list=PLn8PRpmsu08po...
    published: 05 Feb 2019
    Play in Full Screen
    14:30
    Why the Riccati Equation Is important for LQR Control
    This Tech Talk looks at an optimal controller called linear quadratic regulator, or LQR, a...
    published: 02 Aug 2023
    Play in Full Screen
    1:36:07
    Introduction to Linear Quadratic Regulator (LQR) Control
    In this video we introduce the linear quadratic regulator (LQR) controller. We show that ...
    published: 03 Dec 2018
    Play in Full Screen
    7:43
    LQR controller for tracking rather than just regulating! An example in Matlab
    This video shows how to use LQR controller to enforce a state in a given dynamic system (s...
    published: 06 Oct 2022
    Play in Full Screen
    0:07
    PID controller Vs LQR Controller for rotary inverted pendulum || STRIPS 1.0
    published: 12 Dec 2021
    Play in Full Screen
    13:04
    Linear Quadratic Regulator (LQR) Control for the Inverted Pendulum on a Cart [Control Bootcamp]
    Here we design an optimal full-state feedback controller for the inverted pendulum on a ca...
    published: 29 Jan 2017
    Play in Full Screen
    0:25
    Self Balance Robot Ardra Lab | PID vs LQR | position locking | freelancing
    The robot is able to maneuver in any terrain with balancing it self on 2 wheels We #design...
    published: 12 Nov 2022
    Play in Full Screen
    37:07
    Linear Quadratic Regulator (LQR) in Python - Detailed Explanation - Control Engineering Tutorial
    #controltheory #robotics #controlengineering #mechatronics #machinelearning #electricaleng...
    published: 01 Aug 2023
    Play in Full Screen
    24:36
    Core Concepts: Linear Quadratic Regulators
    We explore the concept of control in robotics, notably Linear Quadratic Regulators (LQR). ...
    published: 25 Nov 2021
    Play in Full Screen
    8:56
    Overview of LQR for System Control
    This video describes the core component of optimal control, developing the optimization al...
    published: 05 Oct 2022
    Play in Full Screen

    LBR (file format)

    The .LBR file format was an archive file format used on CP/M and DOS operating systems during the early 1980s. .LBR files were created by the LU program; later programs like NULU arrived for .LBR creation, and many tools such as LT and QL were capable of extracting from .LBR archives. .LBR is an abbreviation of "Library", and, resembling the .tar file format, member files were only stored in the .LBR file, not compressed. As transfer of LBR files by modem was common, it was typical practice for archiving a collection of files to compress them using the SQ or CRUNCH programs then store them in an .LBR archive, or else (more rarely) store the files in the LBR archive, then use SQ or CRUNCH to compress the archive. A compressed LBR archive file was given the extension ".LQR" (if squeezed) or ".LZR" (if crunched); however, it was more common to compress the members of the archive than to compress the archive as a whole.

    As MS-DOS and other operating systems became more popular and displaced CP/M, .LBR's popularity waned. The development of the ARC archiver which both compressed and archived files in one program went a long way towards displacing .LBR on MS-DOS systems; on CP/M systems, .LBR persisted longer due to the lack of a useful ARC port.

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    Notice of Effectiveness (Form EFFECT) (LQR House Inc)

    Public Technologies 15 Jan 2025
    ) Notice of Effectiveness UNITED STATES. SECURITIES AND EXCHANGE COMMISSION ... 20549 ... Form ... LQR House Inc ... LQR House Inc.
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    Supplemental Prospectus (Form 424B3) (LQR House Inc)

    Public Technologies 14 Jan 2025
    ("LQR", "LQR House", or the "Company"), intends to become a prominent force in the wine and spirits e-commerce, sector epitomized by its flagship alcohol marketplace, CWSpirits.com ("CWS Platform").
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    Statement of Changes in Beneficial Ownership (Form 4) (LQR House Inc)

    Public Technologies 07 Jan 2025
    ) Ownership Submission FORM 4. Check this box if no longer subject to Section 16. Form 4 or Form 5 obligations may continue. See Instruction 1(b) ... See Instruction 10. UNITED STATES SECURITIES AND EXCHANGE COMMISSION ... 2 ... LQR House Inc. [LQR] 5 ... LQR House Inc.
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    Registration Statement Specified Transactions (Form S 3) (LQR House Inc)

    Public Technologies 06 Jan 2025
    ("LQR", "LQR House", or the "Company"), intends to become a prominent force in the wine and spirits e-commerce, sector epitomized by its flagship alcohol marketplace, CWSpirits.com ("CWS Platform").
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    Private Placement Form 8 K (LQR House Inc)

    Public Technologies 03 Jan 2025
    On December 30, 2024, LQR House Inc., a Nevada corporation (the "Company") entered into a Securities Purchase Agreement (the "Purchase Agreement") with various ... LQR House Inc.
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    Notice of Sales of Unregistered Securities (Form D) (LQR House Inc)

    Public Technologies 03 Jan 2025
    ) SEC FORM D. The Securities and Exchange Commission has not necessarily reviewed the information in this filing and has not determined if it is accurate and complete ... Washington, D.C. 20549 ... 4.00 ... LQR House Inc ... LQR House Inc ... LQR House Inc ... LQR House Inc.
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    Initial Statement of Beneficial Ownership (Form 3) (LQR House Inc)

    Public Technologies 31 Dec 2024
    ) Ownership Submission FORM 3 ... Washington, D.C ... LQR House Inc. [LQR] ... C/O LQR HOUSE INC., 6800 INDIAN CREEK DR ... C/O LQR HOUSE INC ... (1) The restricted stock units ("RSU") will convert into the shares of common stock of LQR House Inc ... LQR House Inc.
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    LQR House Inc. Announces Mr. Lijun Chen as Chairman and Dr. Jing Lu as New Board Member Form 8 K (LQR House Inc)

    Public Technologies 26 Dec 2024
    LQR House Inc ... MIAMI BEACH, FL / ACCESSWIRE / December 20, 2024 / LQR House Inc ... These appointments mark a pivotal step in LQR House's strategic growth, as both bring extensive leadership, innovation, and financial expertise to the Company.
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    Supplemental Prospectus (Form 424B5) (LQR House Inc)

    Public Technologies 19 Dec 2024
    ). Filed Pursuant to Rule 424(b)(5). Registration No. 333-282118. PROSPECTUS SUPPLEMENT. (to Prospectus dated September 13, 2024. and Prospectus Supplement. dated September 13, 2024). Up to $2,441,364. LQR House Inc. Common Stock ... H.C ... Disclaimer. LQR House Inc.

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