处理dubbo和Spring占位符问题

jabsorb 是一个简单的轻量级的JSON-RPC 库，用于实现浏览器上的 JavaScript 和 Java 服务器端之间的通讯。(jabsorb is a simple lightweight JSON-RPC library used to implement communications JavaScript on the browser and the server-side Java between.)

说明：  java 排序算法大全包括希尔排序，冒泡排序等(JAVA sort )

群体智能算法，烟花算法，java代码，(fireworks algorithm)

SSM(struts2+spring+mybatis+db2整合案例)(SSM (struts2+spring+mybatis+db2 integration scenarios))

spring学习程序，用于学习新技术，使用JAVA语言，IDEA环境(spring study procedure, use java)

java Jni的一些应用 removeSystemMenu flashTitle setStayOnTop(java jni program,removeSystemMenu flashTitle setStayOnTop)

说明：  一个Java小游戏，采用多线程技术，游戏难度可以自行调整(A Java game, using multi-threading technology, the difficulty of the game can be adjusted by itself.)

说明：  java基础学习资料（含Notepad++和源代码）(Java basic learning materials (including Notepad++ and source code))

java串口调试程序 1.波特率 2.数据位 3.停止位 4.校验位 (java serial debugger 1. baud rate 2. data bit 3. stop bit 4. parity bit)

说明：  信息科技经过 60 余年的发展，已经普及到社会生活的每一个角落。随着信息技术在国家治理、经济运行的方方面面的应用，大量的数据随之产生。而互联网技术的爆发式发展使得近年来产生的数据总量超过了人类以往产生的历史数据的总和，医疗行业的数据增长幅度尤为突出。 医疗大数据具有巨大的价值,尤其是在临床辅助诊疗和健康管理方面。医疗大数据已经上升到国家战略，同时也是全球学术界与产业界竞争的研究热点。如何利用这些医疗数据，挖掘数据的深层价值，是未来信息科技发展的趋势，也是医疗大数据技术产生的背景。(After more than 60 years of development, information technology has spread to every corner of social life. With the application of information technology in all aspects of national governance and economic operation, a large number of data are generated. The explosive development of Internet technology has made the total amount of data generated in recent years exceed the total amount of historical data generated by human beings in the past, and the growth rate of data in the medical industry is particularly prominent. Big medical data have great value, especially in clinical assistant diagnosis and health management. Big medical data has risen to national strategy, and it is also a research hotspot in the competition between global academia and industry. How to use these medical data to excavate the deep value of the data is the trend of the development of information technology in the future, and also the background of the emergence of medical big data technology.)