SKU: 29976598766

Ankle Arc Plus

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Description

Ankle Arc PlusAnkle Arc Plus People recovering from injury to or procedures done on the joints need to be able to exercise at home in order to aid as speedy a recovery and rehabilitation as possible. Any exercise solution provided must be easy to use, safe, and space saving. The Ankle Arc Plus is a comprehensive rehabilitation device designed to be taken home for exercise follow up. It is ideal for all stages of ankle, knee, and shoulder rehabilitation, and is also

Ankle Arc Plus

People recovering from injury to or procedures done on the joints need to be able to exercise at home in order to aid as speedy a recovery and rehabilitation as possible. Any exercise solution provided must be easy to use, safe, and space-saving.

The Ankle Arc Plus is a comprehensive rehabilitation device designed to be taken home for exercise follow-up. It is ideal for all stages of ankle, knee, and shoulder rehabilitation, and is also superb for helping recover from sprains, ACL reconstruction, total hip replacement, and scapular dyskinesis.

Benefits of the Ankle Arc Plus

Made from cross-linked polyethylene foam, the Ankle Arc Plus is extremely durable and robust for prolonged use. Its unique shape enables triplanar motion, allowing for training to accommodate even and uneven surfaces. Consequently, the user can perform exercises in supine, seated, or standing positions.

This piece of equipment provides an excellent closed-chain regimen which can help improve range of motion, strength, balance, core stabilisation and proprioceptive awareness.

Features

  • Cross-linked polyethylene foam construction ensures high durability for prolonged use
  • Unique shape enables triplanar movement for adaptation and flexibility to allow for most exercises
  • Compact size allows for essential home-based exercise follow-up
  • Supplied with easy-to-follow exercise sheet for therapist to customise programme for patient
  • Flat side length: 34cm (13”)
  • Available in versions for people above or below 79kg

The Ankle Arc Plus is available in two versions for people either above or below 79kg in weight. Please make sure to select the correct model to meet your needs.




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                                                                                                                                                          SKU: 29976598766

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                                                                                                                                                          4.2 ★★★★★
                                                                                                                                                          Based on 28 reviews
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                                                                                                                                                          Product Reviews
                                                                                                                                                          N
                                                                                                                                                          Nader
                                                                                                                                                          Dallas, US
                                                                                                                                                          ★★★★★ 1
                                                                                                                                                          Light on substance and heavy on flaws
                                                                                                                                                          Format: Paperback
                                                                                                                                                          The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
                                                                                                                                                          WAS THIS REVIEW HELPFUL?YesReportShare
                                                                                                                                                          Reviewed in the United States on December 31, 2025
                                                                                                                                                          N
                                                                                                                                                          noam barkay
                                                                                                                                                          Los Angeles, US
                                                                                                                                                          ★★★★★ 5
                                                                                                                                                          Excellent book to truly understand LLM design patterns
                                                                                                                                                          Format: Paperback
                                                                                                                                                          I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
                                                                                                                                                          WAS THIS REVIEW HELPFUL?YesReportShare
                                                                                                                                                          Reviewed in the United States on June 9, 2025
                                                                                                                                                          R
                                                                                                                                                          Ryan Meyer
                                                                                                                                                          Boise, US
                                                                                                                                                          ★★★★★ 3
                                                                                                                                                          A Broad Overview, But Light on Modern Fine-Tuning
                                                                                                                                                          Format: Paperback
                                                                                                                                                          I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
                                                                                                                                                          WAS THIS REVIEW HELPFUL?YesReportShare
                                                                                                                                                          Reviewed in the United States on August 10, 2025
                                                                                                                                                          V
                                                                                                                                                          Vineeth Sai
                                                                                                                                                          Phoenix, US
                                                                                                                                                          ★★★★★ 5
                                                                                                                                                          Great foundation read for security!
                                                                                                                                                          Format: Paperback
                                                                                                                                                          This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
                                                                                                                                                          WAS THIS REVIEW HELPFUL?YesReportShare
                                                                                                                                                          Reviewed in the United States on June 27, 2025
                                                                                                                                                          C
                                                                                                                                                          Verified Purchase
                                                                                                                                                          CL
                                                                                                                                                          Omaha, US
                                                                                                                                                          ★★★★★ 5
                                                                                                                                                          Loved it
                                                                                                                                                          Format: Paperback
                                                                                                                                                          I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
                                                                                                                                                          WAS THIS REVIEW HELPFUL?YesReportShare
                                                                                                                                                          Reviewed in the United States on November 14, 2025

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