Robotics & Machine Learning Daily News2024,Issue(Aug.19) :47-48.

University of Technology Sydney Reports Findings in Central NervousSystem Agent s (Development and evaluation of portable NIR technology for the identification and quantification of Australian illicit drugs)

悉尼理工大学发表中枢神经系统研究报告System Agent S(开发和评价用于识别和定量澳大利亚非法药物的便携式近红外技术)

Robotics & Machine Learning Daily News2024,Issue(Aug.19) :47-48.

University of Technology Sydney Reports Findings in Central NervousSystem Agent s (Development and evaluation of portable NIR technology for the identification and quantification of Australian illicit drugs)

悉尼理工大学发表中枢神经系统研究报告System Agent S(开发和评价用于识别和定量澳大利亚非法药物的便携式近红外技术)

扫码查看

摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-药物和治疗的新研究-中枢神经系统药物是主题一份报告。根据NewsRx编辑在澳大利亚百老汇的新闻报道,研究表明,“鉴于目前的形势,对非法药物进行有效和准确的分析在马达加斯加仍然是一个持续的挑战。”贩运到该国及其周围的毒品数量很大。药物检测技术促进法医实验室的分散化,使分析数据能够更有效地采取行动。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Central Nervous System Agents is the subjectof a report. According to news repo rting out of Broadway, Australia, by NewsRx editors, research stated,“The effic ient and accurate analysis of illicit drugs remains a constant challenge in Aust ralia given thehigh volume of drugs trafficked into and around the country. Por table drug testing technologies facilitatethe decentralisation of the forensic laboratory and enable analytical data to be acted upon more efficiently.”

Key words

Broadway/Australia/Australia and New Z ealand/Anorexiants/CNS Stimulants/Central Nervous System Agents/Chemometric/Cyborgs/Drugs and Therapies/Emerging Technologies/Health and Medicine/Machi ne Learning/Methamphetamine Therapy/Pharmaceuticals/Technology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文