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条码检测技术与条码检测仪

金卡工程 2003年第12期7卷 30-32页

条码技术是目前世界上应用最广泛的自动识别与数据采集技术之一,它以快速、准确、可靠性强、成本低廉等特点,在各行各业中被大量采用。在整个供应链中,条码作为信息的载体,自始至终发挥着关键的作用。在产品生产、运输、销售、跟踪等每... 详细信息

条码技术是目前世界上应用最广泛的自动识别与数据采集技术之一,它以快速、准确、可靠性强、成本低廉等特点,在各行各业中被大量采用。在整个供应链中,条码作为信息的载体,自始至终发挥着关键的作用。在产品生产、运输、销售、跟踪等每一个环节,条码能否被准确、快速的识读都关系着整个系统能否高效的运行。因此,越来越多的人开始关注条码的质量问题。

关键词：条码检测质量反射率曲线检测仪

内华达大盆地中第三纪卡林型矿化与黄石公园古热点有关吗?

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地质科学译丛 1998年第1期15卷 22-25页

作者： Gary L.Oppliger 王登红王平安 Kennecott Exploration inc.961 Mately Lane Suite 120RenoNevada89502

提出在43～34Ma 期间发生的岩浆作用、张性构造以及集中于内华达大盆地中的金矿化与黄石古热点的演化之间存在成因联系。该模式与新生代的区域构造相吻合,并提出了始新世一渐新世岩浆事件与卡林型金矿之间在空间上一致的一种可能解释。... 详细信息

提出在43～34Ma 期间发生的岩浆作用、张性构造以及集中于内华达大盆地中的金矿化与黄石古热点的演化之间存在成因联系。该模式与新生代的区域构造相吻合,并提出了始新世一渐新世岩浆事件与卡林型金矿之间在空间上一致的一种可能解释。这些特点集中体现于大盆地的 Battle 山区,并与推测的40～30 Ma 以来黄石热点的位置恰好重合。黄石公园热点可能是一个起源于核幔边界的地幔柱,核幔边界被认为是一个异常富集金及与金矿伴生的中等亲铁元素的地区。由于60Ma 以来黄石公园热点逐渐被北美板块掩覆,在与近水平俯冲有关的岩浆作用宁静期,随着Farallon 板块的热点俯冲裂解,43～34Ma 期间产生了大规模的壳内熔融和变质去挥发分作用。同期进行的地壳扩张与热流在上地壳中的对流循环有利于构造和岩性对金矿的圈闭,而这正是典型卡林型金矿的特点。

关键词：卡林型金矿第三纪核幔边界金矿床矿化

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α-Gal三糖衍生物的高效酶促合成

α-Gal三糖衍生物的高效酶促合成

中国化学会第四届有机化学学术会议

作者：张剑波张合胜李汉芬邵军 Przemek Kowal 王鹏华东师范大学化学系 Department of Biochemistry Ohio State University ColumbusOH 43210 华东师范大学化学系 Symyx Technologies inc. Santa ClaraCA 95051 Department of Biochemistry Harvard Medical School BostonMA 02115 Department of Biochemistry Ohio State University ColumbusOH 43210

＜正＞伪膜性肠炎是主要发生于结肠的急性粘膜坏死性炎症。此病常见于应用抗生素治疗之后,起病大多急骤,病情轻者仅有轻度腹泻,重者可以致死。近年研究证实,伪膜性肠炎患者粪中分离出的难辨梭状芽孢杆菌（Clostridium difficile）是伪... 详细信息

＜正＞伪膜性肠炎是主要发生于结肠的急性粘膜坏死性炎症。此病常见于应用抗生素治疗之后,起病大多急骤,病情轻者仅有轻度腹泻,重者可以致死。近年研究证实,伪膜性肠炎患者粪中分离出的难辨梭状芽孢杆菌（Clostridium difficile）是伪膜性肠炎的致病因素,而α-Gal寡糖抗原可以与难辨梭状芽孢杆菌表面

关键词： enzymatic synthesis a-Gal epitope Clostridium difficile, glycosyltransferase, creatine phosphate

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MATLAB仿真在通信专业教学中的应用

中小企业管理与科技 2009年第36期 201-202页

作者：苏红艳寿翔淮安信息职业技术学院 CAO GROUP inc

介绍了MATLAB仿真系统在实际的通信专业教学中的运用,特别的信号与系统、通信原理课程。通过MATLAB实现了通信专业中典型的冲激响应、阶跃响应、傅里叶变换以及抽样定理等实验,利用Simulink仿真了双边带调制系统。文章强调了MATLAB软件... 详细信息

介绍了MATLAB仿真系统在实际的通信专业教学中的运用,特别的信号与系统、通信原理课程。通过MATLAB实现了通信专业中典型的冲激响应、阶跃响应、傅里叶变换以及抽样定理等实验,利用Simulink仿真了双边带调制系统。文章强调了MATLAB软件的教学意义。

关键词： MATLAB 通信系统 Simulink 仿真

Artificial intelligence in dentistry:Harnessing big data to predict oral cancer survival

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World Journal of Clinical Oncology 2020年第11期11卷 918-934页

作者： Man Hung Jungweon Park Eric S Hon Jerry Bounsanga Sara Moazzami Bianca Ruiz-Negrón Dawei Wang College of Dental Medicine Roseman University of Health SciencesSouth JordanUT 84095United States Department of Orthopaedic Surgery Operations University of UtahSalt Lake CityUT 84108United States College of Social Work University of UtahSalt Lake CityUT 84112United States Division of Public Health University of UtahSalt Lake CityUT 84108United States Department of Educational Psychology University of UtahSalt Lake CityUT 84109United States Department of Economics University of ChicagoChicagoIL 60637United States Research Section Utah Medical Education CouncilSalt Lake CityUT 84102United States College of Social and Behavioral Sciences University of UtahSalt Lake CityUT 84112United States Data Analytics Unit Walmart Inc.BentonvilleAR 72716United States

BACKGROUND Oral cancer is the sixth most prevalent cancer *** knowledge in oral cancer risk factors and survival is *** To come up with machine learning(ML)algorithms to predict the length of survival for individuals diagnosed with oral cancer,and to explore the most important factors that were responsible for shortening or lengthening oral cancer *** We used the Surveillance,Epidemiology,and End Results database from the years 1975 to 2016 that consisted of a total of 257880 cases and 94 *** ML techniques in the area of artificial intelligence were applied for model training and *** accuracy was evaluated using mean absolute error(MAE),mean squared error(MSE),root mean squared error(RMSE),R2 and adjusted *** The most important factors predictive of oral cancer survival time were age at diagnosis,primary cancer site,tumor size and year of *** of diagnosis referred to the year when the tumor was first diagnosed,implying that individuals with tumors that were diagnosed in the modern era tend to have longer survival than those diagnosed in the *** extreme gradient boosting ML algorithms showed the best performance,with the MAE equaled to 13.55,MSE 486.55 and RMSE *** Using artificial intelligence,we developed a tool that can be used for oral cancer survival prediction and for medical-decision *** finding relating to the year of diagnosis represented an important new discovery in the *** results of this study have implications for cancer prevention and education for the public.

关键词： Oral cancer survival Machine learning Artificial intelligence Dental medicine Public health Surveillance,Epidemiology,and End Results Quality of life

Lean Management in Obstetrics and Gynecology: Application in the Ambulatory Clinic Pre- and Post-Kaizen

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Open Journal of Obstetrics and Gynecology 2018年第14期8卷 1604-1630页

作者： Michele Follen Leo Fradkin Joseph Crane Chuck Noon Kings County Hospital Clarkson Brooklyn NY USA University of Tennessee Haslam College of Business Knoxville TN USA Brookdale Hospital and Medcial Center One Brookdale Plaza Brooklyn NY USA Teamhealth inc Knoxville TN USA

OBJECTIVE: The ambulatory clinic was an important departmental problem. Providers hated working there and patients complained about the wait times there. It seemed there were equal numbers of patients and provider complaints. In the spirit of solving the problem, data was gathered, a LEAN intervention was planned, and data was collected. METHODS: We defined the service families in the clinic as registration, vital signs, provider or ultrasound visit, nursing visit, and registration for the return visit. We walked the Gemba engaging all the staff in the process. Many observations pointed to long waits between and among the five stations. In order to study the current state, time data was collected by attaching a sheet of paper to a folder that the patient would carry themselves to all the clinical steps. On the sheet of paper each station logged the time that patient appeared and the time the patient left their sight. Data was gathered each day and every day from October 2016 to the summer of 2017. The data was analyzed. Leadership met and identified value and waste in the process. A Kaizen event was scheduled after the first set of measurements engaging all the staff. After the data was thoroughly analyzed and digested, brainstorming occurred. Together we determined our future state. We created a vision and strategic goals to reach our future state. RESULTS: The data pre-Kaizen event showed that the process of arrival to leaving took 124 minutes. We discovered that not every patient passed through each station. We learned the patients were on time or early for their visit most of the time. The providers were late most of the time by 1 - 1.5 hours. We learned how long each station took from the patient’s point of view. There were no statistically significant differences between ultrasound and provider visits;there were no statistically significant differences between midwife and physician visits. Each day of the week was similar. The arrival rate was higher in the mo

关键词： Lean Management Healthcare LEAN and Obstetrics and Gynecology Lean and Ambulatory Care Lean and Women’s Health

Understanding that Addiction Is a Brain Disorder Offers Help and Hope

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Health 2022年第6期14卷 684-695页

作者： Kenneth Blum Abdalla Bowirrat David Baron Rajendra D. Badgaiyan Panayotis K. Thanos Igor Elman Eric R. Braverman Mark S. Gold Division of Addiction Research & Education Center for Psychiatry Medicine & Primary Care (Office of the Provost) Western University Health Sciences Pomona USA Department of Molecular Biology and Adelson School of Medicine Ariel University Ariel Israel Department of Psychiatry South Texas Veteran Health Care System Audie L. Murphy Memorial VA Hospital and Long School of Medicine University of Texas Health Science Center San Antonio USA Department of Psychiatry MT. Sinai School of Medicine New York USA Department of Psychology & Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions (BNNLA) Research Institute on Addictions University at Buffalo Buffalo USA Department of Psychiatry Harvard School of Medicine Cambridge USA Division of Personalized Medicine The Kenneth Blum Behavioral & Neurogenetic Institute (Division of iVitalize Inc.) Austin USA Department of Psychiatry Washington University School of Medicine St. Louis USA

We refute the controversial statement that addiction is not a brain disorder. Extensive peer-reviewed studies support the underlying neurobiological and neurogenetic basis of addiction’s “disease model”. In the 70s and 80s, a few clinical scientists suggested that it is possible to use behavioral training to teach controlled drinking. However, this controversial model failed drastically and inc.eased labeling and stigmatization. Additionally, it was unhelpful in the search for treatment. Instead, we assert that addiction is a neuropsychiatric disorder characterized by a recurring desire to continue taking substances despite harmful physical and mental consequences. Work from our laboratory in 1995 supported the Reward Deficiency Syndrome (RDS) concept based on a common neurogenetic mechanism (hypodopaminergia) that underlies all substance and non-substance addictions. Non-substance addictions inc.ude behaviors like pathological gambling, internet addiction, and mobile phone addiction. Certain impulsive and compulsive behaviors or the acute intake of psychoactive substances result in heightened dopaminergic activity, while the opposite, hypodopaminergia, occurs following chronic abuse. Patients with Substance Use Disorder (SUD) can have a genetic predisposition compounded by stress or other epigenetic insults that can impact recovery. Relapse will occur post-short-term recovery if dopaminergic dysfunction remains untreated. Addiction, a brain disorder, requires treatment with DNA-directed pro-dopamine regulation and rehabilitation.

关键词： Reward Deficiency Syndrome Abstinence Controlled Drinking Neurogenetic Brain Disorder

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动物活体自动采样技术的应用和评价

中国新药与临床杂志 2005年第8期24卷 665-671页

作者：邓庆丽王小林蒋华芳程景才 Fuming XIE Yongxin ZHU Peter T KISSINGER 陈春麟上海美迪西生物医药有限公司上海201203 无锡杰西医药技术有限公司江苏无锡214036 Bioanalytical Systems inc IN 47906USA

介绍在动物实验中一种先进的生物样品自动采集与处理系统,该系统结合液相色谱/质谱/质谱(LC/MS/MS)分析方法,可以为临床前药动学研究、药效学研究和安全性评价提供可靠的实验数据。利用该系统能够在清醒的、自由活动的实验大鼠、小鼠等... 详细信息

介绍在动物实验中一种先进的生物样品自动采集与处理系统,该系统结合液相色谱/质谱/质谱(LC/MS/MS)分析方法,可以为临床前药动学研究、药效学研究和安全性评价提供可靠的实验数据。利用该系统能够在清醒的、自由活动的实验大鼠、小鼠等啮齿类动物及灵长类动物完成生物样品的定时自动采集,并进行即时处理。不但节约人力,且大大提高了对少量低浓度生物样品的实验数据准确性;与此同时,还能实时监测实验动物的其他生理参数,从而可减少所用动物数量,改善动物的舒适性。若能把自动生物样品采集技术和现代先进的LC/MS/MS分析方法合并使用,则可显著提高临床前研究的速度和质量,以满足高通量药物筛选的要求。自动采样系统被我们用于大鼠口服卡马西平的药动学实验,结果证实它确实是临床前药动学、药效学研究及安全性评价的有效工具。

关键词：药动学药理学啮齿目色质联用法自动采样活体采样微透析技术自动全血采样

儿童沟通障碍概念与临床筛查诊断的发展与探讨

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医学综述 2020年第22期26卷 4369-4373页

作者：梁爱民王信懿廖雅姿国家儿童医学中心首都医科大学附属北京儿童医院保健中心北京100045 哈佛大学公共卫生学院美国马萨诸塞州波士顿02138 PenguinSmart inc. 美国加利福尼亚州贝尔蒙特94002 长庚大学早期疗育研究所中国台湾桃园333

沟通障碍是指因先天或后天因素造成个体在接收、传递、处理或理解口语、非口语或符号系统方面存在能力缺陷,可表现不同程度和不同形式。儿童沟通障碍诊断的延迟与各地区概念的差异、有效筛查工具不同、专业知识的发展不平衡等有关。目前... 详细信息

沟通障碍是指因先天或后天因素造成个体在接收、传递、处理或理解口语、非口语或符号系统方面存在能力缺陷,可表现不同程度和不同形式。儿童沟通障碍诊断的延迟与各地区概念的差异、有效筛查工具不同、专业知识的发展不平衡等有关。目前,我国儿童沟通障碍的概念、诊断标准及标准化评估方法、早期干预系统发展相对缓慢,缺乏系统性研究,具有发展空间。未来,在概念以及诊断标准等方面需进一步实践及研究,针对诊疗及干预需要制订可操作性的指南标准。

关键词：儿童沟通障碍发育国际标准发育评估