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Advances in Infectious Diseases 2013年第1期3卷 1-9页

作者： li kiang tan Sally Lam Swee ling Low Fang Hui tan Lee Ching Ng Diana Teo Blood Services Group Health Sciences Authority Singapore City Singapore Environmental Health Institute National Environment Agency Singapore City Singapore

The risk of blood-borne transmission of infectious diseases has led to an increasing awareness of the need for a safe and effective pathogen reduction technology. This study evaluated the efficacy of 2 pathogen reduction systems to inactivate dengue virus (DENV-2) and chikungunya virus (CHIKV) spiked into apheresis platelets (APLT) concentrates. Double-dose APLT collections (n = 3) were split evenly into two units and spiked with 107 infectious units of DENV-2 or CHIKV. APLTs samples were assayed for viral infectivity before and after Amotosalen photochemical treatment (PCT) or Riboflavin pathogen reduction treatment (PRT). Viral infectivity was determined by plaque assays. Platelet (PLT) count, pH and residual S-59 were measured during the storage of 5 days. Amotosalen PCT showed robust efficacy and complete inactivation of both viruses in APLTs, with up to 3.01 and 3.75 log reductions of DENV-2 and CHIKV respectively. At similar initial concentrations, Riboflavin PRT showed complete inactivation of CHIKV with up to 3.73 log reduction, much higher efficacy than against DENV-2 where a log reduction of up to 1.58 was observed. All post-treated APLTs maintained acceptable PLT yields and quality parameters. This parallel study of 2 pathogen reduction systems demonstrates their efficacy in inactivating or reducing DENV and CHIKV in APLTs and reaffirms the usefulness of pathogen inactivation systems to ensure the safety in PLTs transfusion.

关键词： Pathogen Inactivation Dengue Chikungunya Transfusion-Transmitted Disease Platelets

提升大学生对失智症认知度和友善度教育方案的设计与实践

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中华护理教育 2024年第4期21卷 421-426页

作者：谭美晶廖月玲刘晓宜梁宝瑜李乐童吴建炜澳门镜湖护理学院中国澳门特别行政区999078

目的设计提升大学生对失智症认知度和友善度教育方案,并探讨其应用效果。方法通过文献分析法设计提升大学生对失智症认知度和友善度教育方案。2022年11月4日—2022年12月16日,基于中国澳门镜湖护理学院本科生“解决问题,促进健康”项目... 详细信息

目的设计提升大学生对失智症认知度和友善度教育方案,并探讨其应用效果。方法通过文献分析法设计提升大学生对失智症认知度和友善度教育方案。2022年11月4日—2022年12月16日,基于中国澳门镜湖护理学院本科生“解决问题,促进健康”项目,对就读于中国澳门高等院校的30名大学生进行为期6周共计12 h的干预。比较干预前后大学生失智症知识、对失智症患者及其照护态度及帮助疑似失智症患者的意愿水平。结果干预后大学生失智症知识得分为(31.23±7.60)分,高于干预前的(25.17±7.81)分(P<0.001);对失智症患者及其照护态度得分为(29.47±5.51)分,与干预前的(29.83±4.39)分相比,差异无统计学意义(P=0.610);帮助疑似失智症患者的意愿得分为4(4,4)分,高于干预前的4(3,4)分(P=0.026)。结论提升大学生对失智症认知度和友善度教育方案的运用能够有效提升大学生失智症知识及帮助疑似失智症患者的意愿水平。

关键词：澳门特别行政区大学生失智症认知友善

Collective decision-making and spatial patterns in orientation of an endemic ungulate on the Tibetan Plateau

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Current Zoology 2024年第1期70卷 45-58页

作者：严雪婷王旭赵雨梦祝芹杨乐李忠秋 Lab of Animal Behavior&Conservation School of Life SciencesNanjing UniversityNanjingJiangsu210023China Tibet Plateau Institute of Biology Lhasa850000China

Group living animals form striking aggregation patterns and display synchronization,polarization,and collective *** many col-lective behavioral studies have been conducted on small animals like insects and fish,research on large animals is still rare due to the limited availability of field collective *** used drones to record videos and analyzed the decision-making and behavioral spatial patterns in orienta-tion of kiang(Tibetan wild ass,Equus kiang).Leadership is unevenly distributed among kiang,with the minority initiating majority behavior-shift *** of individual to join are driven by imitation between group members,and are largely dependent on the number of members who have already *** respond to the behavior and position of neighbors through different *** strongly polarize when moving,therefore adopting a linear *** vigilant,orientation deviation increases as they form a tighter *** remain scattered while feeding and,in that context,adopt a side-by-side *** study reveals partially-shared decision-making among kiang,whereby copying neighbors provides the wisdom to thrive in harsh *** study also suggests that animals'spatial patterns in orientation depend largely ontheirbehavioral states inachieving synchronization.

关键词： decision-making imitation spatial position Tibetan wild ass

Comparative study on artificial intelligence systems for detecting early esophageal squamous cell carcinoma between narrow-band and white-light imaging

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World Journal of Gastroenterology 2021年第3期27卷 281-293页

作者： Bing li Shi-Lun Cai Wei-Min tan Ji-Chun li Ayimukedisi Yalikong Xiao-Shuang Feng Hon-Ho Yu Pin-Xiang Lu Zhen Feng li-Qing Yao Ping-Hong Zhou Bo Yan Yun-Shi Zhong Department of Endoscopy Center Zhongshan Hospital of Fudan UniversityShanghai 200032China School of Computer Science Fudan UniversityShanghai 200433China Clinical Statistical Center Shanghai Cancer Center of Fudan UniversityShanghai 200032China Department of Gastroenterology Kiang Wu HospitalMacao SAR 999078China Department of Endoscopy Center Xuhui HospitalZhongshan Hospital of Fudan UniversityShanghai 200031China

BACKGROUND Non-magnifying endoscopy with narrow-band imaging(NM-NBI)has been frequently used in routine screening of esophagus squamous cell carcinoma(ESCC).The performance of NBI for screening of early ESCC is,however,significantly affected by operator *** intelligence may be a unique approach to compensate for the lack of operator *** To construct a computer-aided detection(CAD)system for application in NMNBI to identify early ESCC and to compare it with our previously reported CAD system with endoscopic white-light imaging(Wli).METHODS A total of 2167 abnormal NM-NBI images of early ESCC and 2568 normal images were collected from three institutions(Zhongshan Hospital of Fudan University,Xuhui Hospital,and kiang Wu Hospital)as the training dataset,and 316 pairs of images,each pair including images obtained by Wli and NBI(same part),were collected for *** endoscopists participated in this study to review the validation images with or without the assistance of the CAD *** diagnostic results of the two CAD systems and improvement in diagnostic efficacy of endoscopists were compared in terms of sensitivity,specificity,accuracy,positive predictive value,and negative predictive *** The area under receiver operating characteristic curve for CAD-NBI was *** the validation dataset,the sensitivity,specificity,accuracy,positive predictive value,and negative predictive value of CAD-NBI were 91.0%,96.7%,94.3%,95.3%,and 93.6%,respectively,while those of CAD-Wli were 98.5%,83.1%,89.5%,80.8%,and 98.7%,***-NBI showed superior accuracy and specificity than CAD-Wli(P=0.028 and P≤0.001,respectively),while CAD-Wli had higher sensitivity than CAD-NBI(P=0.006).By using both CAD-Wli and CAD-NBI,the endoscopists could improve their diagnostic efficacy to the highest level,with accuracy,sensitivity,and specificity of 94.9%,92.4%,and 96.7%,*** The CAD-NBI system for screening early ESCC has

关键词： Computer-aided detection Esophageal squamous cell carcinoma Endoscopy Screening Narrow-band imaging White-light imaging

Artificial intelligence system for outcome evaluations of human in vitro fertilization-derived embryos

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中华医学杂志(英文版) 2024年第16期137卷 2024 Jul 12页

作者： Sun ling li Jiahui Zeng Simiao Luo Qiangxiang Miao Hanpei liang Yunhao Cheng linling Sun Zhuo Tai Wa Hou Han Yibing Yin Yun Wu Keliang Zhang Kang Department of Reproductive Medicine Guangzhou Women and Children’s Medical Center Guangzhou Medical University Guangzhou Guangdong China Guangzhou National Laboratory Guangzhou Guangdong China Department of Reproductive Medicine Jiangmen Central Hospital Jiangmen Guangdong China Department of Ophthalmology Dongguan People’s Hospital The First School of Clinical Medicine Southern Medical University Dongguan Guangdong China Institute for Artificial Intelligence in Medicine Faculty of Medicine Macau University of Science and Technology Macau Special Administrative Region China Wenzhou Eye Hospital Institute for Advanced Studies on Eye Health and Diseases Wenzhou Medical University Wenzhou Zhejiang China kiang Wu Hospital Macau Special Administrative Region China Faculty of Business City University of Macau Macau Special Administrative Region China State Key Laboratory of Reproductive Medicine and Offspring Health Center for Reproductive Medicine Institute of Women Children and Reproductive Health and Key laboratory of Reproductive Endocrinology of Ministry of Education Shandong University Jinan Shandong China

Background: In vitro fertilization (IVF) has emerged as a transformative solution for infertility. However, achieving favorable live-birth outcomes remains challenging. Current clinical IVF practices in IVF involve the collection of heterogeneous embryo data through diverse methods, including static images and temporal videos. However, traditional embryo selection methods, primarily reliant on visual inspection of morphology, exhibit variability and are contingent on the experience of practitioners. Therefore, an automated system that can evaluate heterogeneous embryo data to predict the final outcomes of live births is highly ***: We employed artificial intelligence (AI) for embryo morphological grading, blastocyst embryo selection, aneuploidy prediction, and final live-birth outcome prediction. We developed and validated the AI models using multitask learning for embryo morphological assessment, including pronucleus type on day 1 and the number of blastomeres, asymmetry, and fragmentation of blastomeres on day 3, using 19,201 embryo photographs from 8271 patients. A neural network was trained on embryo and clinical metadata to identify good-quality embryos for implantation on day 3 or day 5, and predict live-birth outcomes. Additionally, a 3D convolutional neural network was trained on 418 time-lapse videos of preimplantation genetic testing (PGT)-based ploidy outcomes for the prediction of aneuploidy and consequent live-birth ***: These two approaches enabled us to automatically assess the implantation potential. By combining embryo and maternal metrics in an ensemble AI model, we evaluated live-birth outcomes in a prospective cohort that achieved higher accuracy than experienced embryologists (46.1%vs. 30.7% on day 3, 55.0%vs. 40.7% on day 5). Our results demonstrate the potential for AI-based selection of embryos based on characteristics beyond the observational abilities of human clinicians (area under the curve: 0.769, 95% confidenc

关键词： Artificial intelligence Fertilizationin vitro Embryo implantation Blastocyst Aneuploidy Neural networks, computer live birth

The Efficacy of Plant-Based Ionizers in Removing Aerosol for COVID-19 Mitigation

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Research 2021年第1期2021卷 70-80页

作者： Ady Suwardi Chin Chun Ooi Dan Daniel Chee kiang Ivan tan Hongying li Ou Yang Zhong liang Yuanting Karen tang Jing Yee Chee Anton Sadovoy Shu-Ye Jiang Srinivasan Ramachandran Enyi Ye Chang Wei Kang Wun Chet Davy Cheong Keng Hui lim Xian Jun Loh Institute of Materials Research and Engineering 2 Fusionopolis WayAgency for ScienceTechnology and ResearchSingapore 138634 Institute of High Performance Computing 1 Fusionopolis WayAgency for ScienceTechnology and ResearchSingapore 138632 Temasek life Sciences Laboratory 1 Research LinkNational University of SingaporeSingapore 117604

Small-sized droplets/aerosol transmission is one of the factors responsible for the spread of COVID-19,in addition to large droplets and surface contamination(fomites).While large droplets and surface contamination can be relatively easier to deal with(i.e.,using mask and proper hygiene measures),aerosol presents a different challenge due to their ability to remain airborne for a long *** calls for mitigation solutions that can rapidly eliminate the airborne ***-COVID-19,air ionizers have been touted as effective tools to eliminate small *** this work,we sought to evaluate the efficacy of a novel plant-based ionizer in eliminating *** was found that factors such as the ion concentration,humidity,and ventilation can drastically affect the efficacy of aerosol *** aerosol removal rate was quantified in terms of ACH(air changes per hour)and CADR-(clean air delivery rate-)equivalent unit,with ACH as high as 12 and CADR as high as 141 ft^(3)/minute being achieved by a plant-based ionizer in a small isolated *** work provides an important and timely guidance on the effective deployment of ionizers in minimizing the risk of COVID-19 spread via airborne aerosol,especially in a poorly-ventilated environment.

关键词： aerosol eliminate sized

粤港澳大湾区华人居民死亡素养现状及当代生死教育初探

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中国医学伦理学 2024年第4期37卷 491-498页

作者：朱明霞谢淑玲黎想伍慧儿澳门镜湖护理学院教学部中国澳门999078 澳门镜湖护理学院护理及健康教研中心中国澳门999078

目的了解粤港澳大湾区华人居民的死亡素养现状,探讨提升社会大众死亡素养的教育途径。方法采用死亡素养指数量表,包括实践、经验、事实、社区四个维度共29项,对粤港澳大湾区2002位居民进行了死亡素养问卷调查。结果受访者死亡素养平均... 详细信息

目的了解粤港澳大湾区华人居民的死亡素养现状,探讨提升社会大众死亡素养的教育途径。方法采用死亡素养指数量表,包括实践、经验、事实、社区四个维度共29项,对粤港澳大湾区2002位居民进行了死亡素养问卷调查。结果受访者死亡素养平均得分中等(6.70分),其中实践与经验知识得分(7.32分、7.50分)高于事实及社区知识方面(6.20分、6.10分);最薄弱的内容有与刚失去亲人的人谈论丧亲(5.07分)、在家死亡相关法律条例(5.35分)以及对临终者及家属在社区获得支持等。结论粤港澳大湾区华人居民的死亡素养为中等状态,其中社区知识较弱,包括对临终者及照顾者的关注与支持不足。由此提出社区健康教育策略,加强大众生死教育,提升居民死亡素养。

关键词：死亡素养粤港澳大湾区生死教育

武当山丧俗研究——中国汉族民歌第一村吕家河丧俗调查

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郧阳师范高等专科学校学报 2005年第2期25卷 4-8页

作者：李征康湖北汽车工业学院人文社会科学系湖北十堰442000

位于武当山下,被誉为中国汉族民歌第一村吕家河的丧俗,如孝子的心态、山地经济观、社会功能等等,具有丰富的历史文化内涵。

关键词：武当山吕家河丧俗调查

Cu_2O纳米阵列的铜阳极氧化法制备及其光催化杀菌性能研究

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无机化学学报 2009年第11期25卷 1960-1964页

作者：闫丽丽王艳熊良斌李家麟枼浩然王保强余颖华中师范大学纳米科技研究院武汉430079 香港中文大学生物系

本文通过阳极氧化法直接在铜片上生长出纳米氧化亚铜阵列,所得到的样品通过扫描电子显微镜(SEM),紫外可见漫反射(UV-Vis diffuser reflectance),X-射线光电子能谱(XPS)等方法进行了表征,并研究了不同形貌氧化亚铜的杀菌效果。实验结果表... 详细信息

本文通过阳极氧化法直接在铜片上生长出纳米氧化亚铜阵列,所得到的样品通过扫描电子显微镜(SEM),紫外可见漫反射(UV-Vis diffuser reflectance),X-射线光电子能谱(XPS)等方法进行了表征,并研究了不同形貌氧化亚铜的杀菌效果。实验结果表明:反应过程中在阳极液中加入一定量的CTAB,有助于氧化亚铜的定向生长。通过控制反应条件(如电流密度,温度,和反应时间),可以得到不同形貌的氧化亚铜。随着电流密度的增大,氧化亚铜的形貌从网状,片状到棒状进行转化。所得到氧化亚铜的禁带宽度为1.95 eV。用所得样品进行杀菌实验,1 h内棒状氧化亚铜的杀菌率达到90.85%,而其它形貌的氧化亚铜杀菌率只有50%左右,与空铜片的杀菌率30%相比,所制得氧化亚铜具有较好的杀菌效果。

关键词：阳极氧化杀菌率 Cu2O阵列

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向為中國乙肝疫苗做出貢獻的中外專家致敬

镜湖医学 2024年第1期24卷 86-87,63页

作者：李衛平澳門鏡湖醫院編輯部中国

時間回到50多年前,人們對病毒性肝炎的認識只停留在甲型肝炎,通過胃腸道感染,多發生於衛生環境不佳,而且欠缺安全的飲水來源的地區,經過休息和營養補充,一般預後良好。

关键词：甲型肝炎乙肝疫苗病毒性肝炎中國