ganglial

ganglial的音标是[ˈɡæŋliə(r)]，基本翻译是“神经节细胞”，速记技巧是“冈里儿”。

Ganglion的词源：

Ganglion这个词源于拉丁语“ganglionum”，意为“神经节”。这个词是由“gange”和“neuron”两个词组成的，分别表示神经和神经元。

变化形式：

Ganglion作为名词，其复数形式为“ganglia”，表示神经节或神经丛。

相关单词：

1. ganglionic - 指神经节的，与Ganglion这个词的词根有相似之处。

2. ganglionic cell - 神经节细胞，是一种神经元细胞。

3. ganglionic disorder - 神经节紊乱，是一种神经系统疾病。

4. ganglionic cell mass - 神经节细胞团，是一种组织学上的描述。

5. ganglionic eminence - 神经节膨隆，是一种发育学上的描述，用于描述神经元的聚集区域。

6. ganglionitis - 神经节炎，是一种炎症性疾病，影响神经节的健康。

7. ganglionectomy - 神经节切除术，是一种手术方法，用于治疗神经节相关的疾病。

8. ganglionate - 指与神经节相关的，如ganglionate cell（神经节细胞）等。

9. ganglionated tissue - 神经节组织，指的是含有神经节的组织或器官。

10. ganglionated nerve - 神经节神经，指的是包含神经节的神经纤维。

总之，Ganglion这个词源于神经和神经元的拉丁语词根，其变化形式和相关单词都与神经和神经系统有关。

Ganglia是一个用于监控大规模集群系统的开源软件。

常用短语：

1. ganglia monitoring system

2. collect data from nodes

3. report status to central server

4. view reports in web interface

5. distribute load evenly

6. collect metrics from nodes

7. monitor cluster health

双语例句：

1. The Ganglia monitoring system allows us to easily view the health of our cluster from a central location.

2. The system collects data from each node and reports its status to a central server, making it easy to identify any issues quickly.

3. By distributing load evenly across the cluster, we can improve overall system performance and reduce bottlenecks.

4. Ganglia helps us monitor the health of our cluster and ensure that everything is running smoothly.

英文小作文：

Ganglia - The Power of Monitoring Large Scale Systems

Ganglia is an open source software designed to monitor large scale systems, allowing users to easily view the health of their cluster from a central location. Through collecting data from each node and reporting its status to a central server, Ganglia makes it easy to identify any issues quickly and take appropriate action. Additionally, by distributing load evenly across the cluster, users can improve overall system performance and reduce bottlenecks. With its powerful reporting capabilities and easy-to-use interface, Ganglia has become a popular choice for monitoring large scale systems.