SKU: 74655843195

Dachträger Lexus NX 5-Türig (I/AZ10 - integrierte Dachreling) (2015--2021) (2x) CRUZ Oplus S-FIX

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Description

Dachträger Lexus NX 5-Türig (I/AZ10 - integrierte Dachreling) (2015--2021) (2x) CRUZ Oplus S-FIXKompletter Dachtrger CRUZ Oplus S FIX fr Lexus NX 5 Trig (I AZ10 integrierte Dachreling) (2015 2021), inkusive Quertrger und Fsse. Schloss mit Schlssel sind optional bestellbar. (Link) Stahl Dachtrger mit reduzierter Hhe. Flachere Trgerfe um die Gesamthhe des Systems reduzieren. Diese Verbesserung ist vor allem bei Fahrzeugen mit integrierter Reling hervorzuheben (1). Entscheidende sthetische Verbesserung durch Verwendung von Trgerfen mit gummierten

Kompletter Dachträger CRUZ Oplus S-FIX für Lexus NX 5-Türig (I/AZ10 - integrierte Dachreling) (2015--2021), inkusive Querträger und Füsse.
Schloss mit Schlüssel sind optional bestellbar. (Link)

Stahl-Dachträger mit reduzierter Höhe.
Flachere Trägerfüße um die Gesamthöhe des Systems reduzieren. Diese Verbesserung ist vor allem bei Fahrzeugen mit integrierter Reling hervorzuheben (1).
Entscheidende ästhetische Verbesserung durch Verwendung von Trägerfüßen mit gummierten Distanzauflagen (serienmäßig bei CRUZ Kit Optikplus Fix).
Verbessertes aerodynamisches Design, stilistisch passend zu den aktuellsten Fahrzeugmodellen (1).
Leichte Montage von allem Zubehör.
(1) im Vergleich zu anderen CRUZ Trägersystemen.
Montageanleitung  
Länge 120 cm
Max. Gesamtgewicht Kits: C-D-E=75 Kg
Gewicht 3,90 Kg
Profil 30x20x1.5 mm
Material Stahl
Abschließbar No (Optional)
ECE R26 Ja
TÜV GS Ja
Crash test Ja
DIN 75302:2019 Ja
ISO/PAS 11154:2006 Ja
Garantie 3 jahre
Erweiterte Garantie + 2 jahre
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SKU: 74655843195

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4.8 ★★★★★
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T
Tans
Bozeman, US
★★★★★ 4
Really good content on Rag and Agents
Format: Paperback
The book is a plethora of AI implementations put together this covers everything required for an Ai engineer, llm developer and enterprise user to understand the terms are simple and implementation is even better, you should definitely check it out
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 29, 2025
R
Verified Purchase
RAKESH MITTAL
Boise, US
★★★★★ 5
Good coverage of the subject.
Format: Paperback
Good.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 19, 2025
T
Verified Purchase
Ting
New York, US
★★★★★ 1
Not worth your time!
Format: Paperback
The abstration level of the knowledge presented in this book is mixed and poorly organized, for example, it could leap from high level suddenly into the details of import packages and codes. This book tries to cover a loooot but achieves so little in any specific topic. Sometimes the high level logic is not even consistent, sometimes the low level details contain errors. There are nonsensical sentences, poorly formatted equations, figures should be printed in color to understand but are in black and white. While I may doubt myself of not being able to delve in at the beginning, gradually it is pretty clear that it is the poor quality of this book that drags me and makes me want to finish reading as soon as possible. I cannot believe this quality of writing was generated with the help of AI. This is an evidence that human can write much poorly than AI. All the figures from the cited papers are of poor resolution and quality. I have submitted more than 15 erratas to the publisher. These just cover the obvious mistakes or errors, and cannot cover the poor organization and logic of the book. It's such a waste of my money and time!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 28, 2026
S
Verified Purchase
Sai
Port Orchard, US
★★★★★ 2
Pages were torn
Format: Paperback, Format: Paperback
Pages were sent torn
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 20, 2026
K
Kirk D. Borne
Belleville, US
★★★★★ 5
Conquer AI Agent complexity with this comprehensive guidebook
Format: Kindle
This book delivers incredibly comprehensive coverage of AI Agents and their various components -- designing, creating, building, deploying with LLMs, RAG, Knowledge Graphs, and ML models (Deep Learning, Reinforcement Learning). And more! Disclosure: the publisher provided me with a free review copy of the book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 24, 2025

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