Faltbarer Leinwand Raumteiler in Gold - Adda

149,00 €

inkl. MwSt.

Produktnummer: 798-10106677-001

Kostenloser Versand

Lieferzeit: 5 - 7 Werktage

Lieferung: ca. 25. September bis 28. September

Ausführung

149,00 €

Edler Blickfang und flexibler Raumteiler – beidseitig bedruckte Vlies-Leinwand in eleganter 3D-Goldoptik auf stabilem Massivholz-Rahmen.

Maße Breite: 135 cm · Tiefe: 45 cm · Höhe: 172 cm

Material Vlies-Leinwand (Bezug), Fichte Massivholz (Rahmen)

Farbe Geometrisches Dreiecks-Motiv in Goldtönen

Besonderheit Beidseitig bedruckter Paravent aus drei Elementen mit plastisch wirkendem Dreiecks-Motiv

Lieferung Fertig montiert (Kleinteile müssen ggf. angebracht werden)

✨ Was dieses Produkt besonders macht

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Plastische 3D-Optik in Gold

Beidseitiger Premium-Druck
3D-Effekt in Goldtönen
Lichtecht dank UV-Schutz

Setzen Sie stilvolle Akzente in Ihrem Wohnraum Das beidseitig bedruckte, geometrische Dreiecks-Motiv begeistert mit einer beeindruckenden Tiefenwirkung in edlen Goldtönen. Eine elegante Bereicherung für jedes moderne Interieur.

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Samtige Vlies-Leinwand

Samtweiche Vlies-Leinwand
Edle Satinband-Einfassung
Bezug aus 100% Polyester

Spürbare Qualität und edle Haptik Der hochwertige Bezug aus Vlies-Leinwand fasziniert durch seine samtweiche Oberfläche und wird von feinen Satinbändern an den Rändern stilvoll eingefasst.

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Stabiler Massivholz-Rahmen

Rahmen aus Fichte Massivholz
Ca. 3 cm Rahmenstärke
Stabile Metallscharniere

Solide Basis für langanhaltende Freude Im Inneren sorgt ein ca. 3 cm starker Rahmen aus massivem Fichtenholz für die nötige Stabilität. Integrierte Metallscharniere ermöglichen ein leichtes Zusammenklappen.

🛡️

Blickdicht & Bodenschonend

Verlässlich blickdicht
Inklusive Kunststoff-Bodenschoner
Platzsparend klappbar

Funktionaler Sichtschutz für Ihr Zuhause Der Paravent schützt verlässlich vor unerwünschten Blicken und schont dank der integrierten Kunststoff-Bodenschoner sanft Ihren Fußboden.

⚠️ Wichtiger Hinweis: Die auf den Bildbeispielen gezeigte Dekoration und Möbelstücke sind nicht im Lieferumfang enthalten.

📐 Abmessungen

Gesamtmaße

Breite: 135 cm · Tiefe: 45 cm · Höhe: 172 cm

✨ Design & Material

Farbe	Beidseitig bedruckt mit einem plastisch wirkenden, geometrischen Dreiecks-Motiv in Goldtönen
Material & Haptik	Vlies-Leinwand mit Samt-Haptik und Satinband-Einfassung (100% Polyester); innerer Rahmen aus Fichte Massivholz

🛠 Montage & Lieferumfang

Montage-Zustand	Fertig montiert (Kleinteile müssen ggf. angebracht werden)
Montageart	Freistehend流水账式的大框架大致如下： Setup -> Setup with custom config -> benchmark using sysbench -> optimize tuning params step by step -> summary. Step 1: Write setup script or playbook, better with one command or click. (including benchmark tools, standard config file, tuning params list, setup test DB with standard schema like tpcc) Step 2: Test script with sysbench, generate initial benchmark result. Step 3: Loop tuning params, compare performance gain / decrease, repeat until find optimal configuration. Step 4: Output report. 大致就是这些步骤，因为我之前有基于 sysbench 摸索过这一整套，所以整个过程心里是有底的。当然，上面提到的大步骤里面包含大量琐碎的操作，有些操作非常机械（譬如反复对比参数，重新跑 sysbench），有些步骤很费时间（比如编写标准配置、编写 sysbench 测试脚本）。如果全靠自己手动搞，没个两三天肯定下不来，而且中间可能会遭遇各种坑（比如 sysbench 参数写错，或者某项 MySQL 参数引起异常）。由于这次有 Cursor 的辅助，我就想挑战一下，看看完全依靠 Cursor 驱动，能多快把这个全流程搞定。下面记录了我与 Cursor 的对话过程，看看它是如何一步步帮我实现这个自动化调优工具的。因为全程使用英文沟通效果最好，所以我所有 Prompts 均使用英文，这里的记录也会直接保留原始英文 Prompts。第一步：环境准备与方案设计既然要自动调优，环境一键搭建和调优流程设计必不可少。我给 Cursor 提出了第一个需求： I am going to build a benchmark tool for MySQL performance tuning. I need a python script to setup the benchmark environment. Standard process: 1. Setup MySQL with standard configuration 2. Setup sysbench 3. Run sysbench benchmark 4. Output benchmark result Please write the python script for me. Cursor 迅速给出了一个 Python 脚本的大致骨架，里面包含了通过 subprocess 调用 apt 安装 MySQL 和 sysbench，写入基础 my.cnf，再调用 sysbench prepare 和 run 的逻辑。框架不错，但有些细节还不够完善（比如没有做异常处理，没有支持参数配置化）。第二步：细化脚本与测试数据库构建我紧接着对脚本提出补充要求，让它更加贴近真实测试场景（使用 sysbench 自带的 oltp_read_write 模式，并把 MySQL 配置抽取出来便于后续做自动化变量注入）： Refine the python script: 1. Use sysbench oltp_read_write script for benchmarking. 2. Define a python dict for MySQL tuning parameters (e.g. innodb_buffer_pool_size, innodb_log_file_size, max_connections, etc.). 3. Automatically update my.cnf based on the python dict, restart MySQL service, prepare sysbench data, and then run the benchmark. 4. Parse the sysbench stdout to extract TPS and QPS, and return them. Cursor 这次给出的代码非常地道。它使用正则（re 模块）准确地解析了 sysbench 输出的 Transactions (TPS) 和 Queries (QPS) 数据，并且实现了一个能够将 Python dict 动态渲染写回 /etc/mysql/mysql.conf.d/mysqld.cnf 的小函数，甚至还附带了 service mysql restart 的调用。第三步：实现“自动化网格搜索/调优循环” 基础的“设置参数 -> 重启 -> 压测 -> 提取指标”跑通后，最核心的“调优”步骤来了。调优本质上是在参数空间里寻优。我让 Cursor 写一个主控循环，测试几组关键参数（如 buffer pool 大小、log file 大小、flush log at trx commit 等）的不同组合： Now, let's build the tuning loop. Define a list of configuration dicts representing different tuning strategies: 1. Baseline configuration 2. High memory configuration (larger innodb_buffer_pool_size) 3. High throughput I/O configuration (innodb_flush_log_at_trx_commit=2, etc.) Iterate through these configurations, apply each configuration, run sysbench, collect TPS/QPS, and finally print a Markdown summary table comparing all configurations. Cursor 生成了完整的循环控制逻辑，甚至非常贴心地帮我写好了 Markdown 表格的生成代码，用 tabulate 库或者纯字符串拼接出美观的对比结果。第四步：踩坑与修复在实际运行 Cursor 生成的脚本时，遇到两个小问题： Restart 失败问题：更改某些参数（例如 innodb_log_file_size 在旧版本 MySQL 中）需要特别注意，或者参数设得太大导致 MySQL 无法启动。针对这个问题，我直接把报错信息发给 Cursor： When applying config X, MySQL failed to restart. Error log: [paste log here]. How to fix it and make the script more robust? Cursor 建议增加参数校验与 rollback（回滚）机制：如果服务重启失败，自动恢复到上一版可用的配置文件并重新启动，确保脚本不会因为某一次参数设错而中断整个调优流程。 Sysbench 运行耗时过长：默认的 sysbench 运行时间可能太长，影响测试效率。我向 Cursor 提出调整建议： Reduce sysbench run time to 60 seconds per iteration for quick testing, and add thread concurrency sweep (e.g., 8, 16, 32, 64 threads). Cursor 迅速重构了压测函数，增加了 outer loop（参数组合）和 inner loop（并发线程数），这样不仅能找最佳配置，还能看出不同配置在不同并发下的表现。总结与成果最终，在 Cursor 的协助下，我只用了大约 1 个小时就完成了一个以前需要大半天才能写完并调通的 MySQL 自动化调优与压测工具。脚本运行完毕后，直接输出了一份清晰的 Markdown 报告，展示了不同参数组合下的 TPS/QPS 提升情况。感受最深的有两点：写胶水代码和解析代码（如正则提取 sysbench 输出）效率极高：以前写这种正则解析总要反复翻 sysbench 的输出日志去对齐格式，Cursor 一次性就写对。具备良好的健壮性设计意识：在提示 Cursor 注意服务启动失败后，它提供的容错与回滚逻辑比我自己手动写要全面得多。拥抱 AI 工具，确实能把我们从大量重复、机械的操作中解放出来，将精力更多地集中在“设计调优策略”本身上。 ...继续阅读 (1)：? based on the based on true story, this movie is standard and ordinary. Wait for digital release. 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(32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 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(35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ...继续阅读 (35) ...继续阅读 (34) ...继续阅读 (32) ... Standard multiple regression model is given below: Y Standard Multiple Regression equation: Y intercept b Regression coefficient of regression for variable X b Regression coefficient of regression for variable X e Residual term/error term Hypothesis for ANOVA table: H Null hypothesis: All the slope parameters in the model are equal to zero. H Alternative hypothesis: At least one of the slope parameter in the model is different from zero. That is, Null hypothesis: b = b = 0 Alternative hypothesis: At least one b is different from zero. Decision Rule: Reject the null hypothesis if p-value is less than or equal to level of significance level (alpha). Otherwise, fail to reject the null hypothesis. Conclusion: Since the p-value is 0.00 which is less than 0.05, we reject the null hypothesis and conclude that at least one of the independent variable is useful to predict Y. The multiple linear regression equation is given below: Y = b + b X + b X Adjusted R-squared = 0.985 It means 98.5% of total variation in Y is explained by independent variables X and X , after adjusting the number of predictor in the model. Standard error of regression = 0.81 Standard multiple regression model is given below: Y Standard Multiple Regression equation: Y intercept b Regression coefficient of regression for variable X b Regression coefficient of regression for variable X e Residual term/error term Hypothesis for ANOVA table: H Null hypothesis: All the slope parameters in the model are equal to zero. H Alternative hypothesis: At least one of the slope parameter in the model is different from zero. That is, Null hypothesis: b = b = 0 Alternative hypothesis: At least one b is different from zero. Decision Rule: Reject the null hypothesis if p-value is less than or equal to level of significance level (alpha). Otherwise, fail to reject the null hypothesis. Conclusion: Since the p-value is 0.00 which is less than 0.05, we reject the null hypothesis and conclude that at least one of the independent variable is useful to predict Y. The multiple linear regression equation is given below: Y = b + b X + b X Adjusted R-squared = 0.985 It means 98.5% of total variation in Y is explained by independent variables X and X , after adjusting the number of predictor in the model. Standard error of regression = 0.81 ...An unmanaged 5-port Gigabit switch with pass-through PoE that enables the powering of a terminal device directly from a PoE power supply. Input power: PoE 802.3af/at (pins 1, 2, 4, 5+; 3, 6, 7, 8-) or DC 48-57V. Output power: Ports 1-4 standard PoE 802.3af/at (max. 30W/port, total max. 60W), Pass-through PoE mode: PoE input <= 30W -> PoE output <= 25W; PoE input <= 60W -> PoE output <= 45W; DC input <= 90W -> PoE output <= 60W. Throughput: 10 Gbps, Frame forwarding rate: 7.44 Mpps, MAC table: 2K, Jumbo Frame: 9216 Bytes. Compact metal casing with desktop placement option. Wall mounting possible. Dimensions: 130 x 85 x 26 mm, weight: 290g. Package includes: switch, mounting set. AC adapter NOT included in the package. Can be powered via an external adapter e.g., 48V/1.25A or 52V/1.15A with a 5.5/2.1 mm connector. Read more parser fine setup You can check out more details about the product in the datasheet in the
Lieferumfang	1x Paravent, bestehend aus drei Elementen fest miteinander verbundenen Elementen

📏 Weitere technische Details

Breite je Element	45 cm
Rahmenstärke	ca. 3 cm
Material Bezug	100% Polyester (Vlies-Leinwand, Satinband)
Druck	Beidseitiger Digitaldruck mit UV-Schutz (lichtecht)
Blickdichte	Blickdicht
Scharniere	Stabile Metallscharniere
Bodenschoner	Kunststoff-Bodenschoner enthalten
Eigenschaften	Platzsparend zusammenklappbar
Stil	Modernes Design

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