|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Epidemiology of civilian blast injuries inflicted by terrorist bombings from 1970-2016显示文摘An upsurge of terrorist activity has occurred in the past two decades. As part of this, explosive devices continue to be extensively deployed against civilians in wide-ranging environments. Bombings remain the leading worldwide cause of civilian fatalities due to terrorism. This demands an understanding of modern terrorist bombing trends to inform mitigation strategy. The objective of this study was to identify the occurrence and severity of bombings against civilian targets in diverse attack settings, and to establish corresponding blast injury profiles. Data was obtained from analysis of the Global Terrorism Database(GTD) and a meta-analysis of blast injury data derived from the PubMed database. Closed environment explosions were associated with significantly greater(p<0.05) mortality than in open spaces. The injury profiles were found to be influenced by attack setting, with higher rates of primary injury on trains and buses, and secondary injury in open space. | Danyal Magnus Mansoor A.Khan William G.Proud | 2018 | Defence Technology(防务技术)2018，14，5： | 6 |
| 2 | Centromedullary pinning of radial neck fractures: length matters 显示文摘 | Danyal H Nawabi | 2006 | J Pediatr Orthop2006，26，： | 1 |
| 3 | 重离子储存环CSRe上激光冷却相对论能量类锂^(12)C^(3+)离子束的实验研究进展显示文摘激光冷却储存环中相对论能量的重离子束是最有希望得到高相空间密度离子束、实现离子束相变并且获得有序束和晶化束的一种方法.相对于已经比较成熟的随机冷却和电子冷却技术,储存环上重离子束的激光冷却具有冷却速度快,冷却作用力强的特点,可以将离子束冷却到极低温度(mK),在激光冷却的同时还可以开展高电荷态离子的精细激光谱学实验.本文介绍了中国科学院近代物理研究所大科学装置重离子冷却储存环CSRe上开展激光冷却重离子束的实验原理和实验方法,给出了在CSRe上首次激光冷却能量为122 MeV/u的类锂^(12)C^(3+)离子束测试性实验结果,并且展望了在未来大型加速器HIAF上开展类锂类钠高电荷态离子的激光冷却和精细激光谱学实验. | 汶伟强 汪寒冰 黄忠魁 张大成 海帮 朱小龙 啜晓亚 赵冬梅 杨杰 李杰 李小妮 冒立军 毛瑞士 武军霞 夏佳文 杨建成 原有进 赵红卫 赵铁成 EIDAM Lewin LOESER Markus REIN Benjamin SIEBOLD Matthias WINTERS Danyal BUSSMANN Michael 马新文 | 2016 | 中国科学:物理学、力学、天文学2016，46，5： | 1 |
| 4 | Durable Fixation Achieved With Medialized, High Hip Center Cementless THAs for Crowe II and III Dysplasia显示文摘 | Danyal H. Nawabi Morteza Meftah Denis Nam Amar S. Ranawat Chitranjan S. Ranawat | 2014 | Clinical Orthopaedics and Related Research?2014，，2： | 1 |
| 5 | Accelerometer-Based, Portable Navigation vs Imageless, Large-Console Computer-Assisted Navigation in Total Knee Arthroplasty显示文摘 | Denis Nam K. Durham Weeks Keith R. Reinhardt Danyal H. Nawabi Michael B. Cross David J. Mayman | 2012 | The Journal of Arthroplasty2012，，： | 1 |
| 6 | Adaptive Interval Type-2 Fuzzy Controller for Variable-speed Wind Turbine显示文摘In this paper,an adaptive interval type-2 fuzzy controller is proposed for variable-speed and variable-pitch wind turbines.Because of attractive features of the well-known wind turbine baseline controller,the proposed controller acts as an augmented controller and works in parallel to the baseline controller.As typical variable-speed wind turbines have different controllers for different operation regions,for each operation region,a dedicated interval tvpe-2 fuzzy controller is designed.Because of the uncertainty in wind speed measurement,modern control techniques try to estimate this value.However,in contrast to these modern control techniques,the proposed controller is independent of the wind speed estimation.Thus,there is a better saving in cost and computational burden.To evaluate the effectiveness of the proposed controller,simulations are conducted with wind profiles which span all operation regions.Results show that,compared with the baseline controller,the proposed controller enhances power generations and reduces mechanical loads concurrently. | Danyal Bustan Hoda Moodi | 2022 | Journal of Modern Power Systems and Clean Energy2022，10，2： | 0 |
| 7 | 4-9 Progress of Laser Cooling of 12C3+ Ions at the CSRe显示文摘Laser cooling is one of the most promising techniques to reach high phase-space densities and achieve phasetransition, ordered beam even crystalline beam for relativistic heavy ion beams at storage rings[1]. In order torealize laser cooling at the CSRe in IMP, we performed a test experiment by using a pulsed laser system to coolthe relativistic 12C3+ ion beams on the CSRe in September 2014. Fig. 1 is the schematic view of the experimentalsetup. | Wang Hanbing Wen Weiqiang Huang Zhongkui Zhang Dacheng Hai Bang Zhu Xiaolong Li Jie Mao Lijun Mao Ruishi Yang Jiancheng Yuan Youjin Xia Jiawen Lewin Eidam Benjamin Rein Markus Loeser Zhu jiangfeng Danyal Winters Michael Bussmann Ma Xinwen | 2014 | IMP & HIRFL Annual Report2014，，1： | 0 |
| 8 | Initial search for low grade clay in Pakistan for producing LC^(3)ecofriendly cement显示文摘尽管工业化使我们的日常生活更加便捷,但也给地球的自然资源带来了很大的负荷,以及随之而来的环境负面影响。随着建筑业对水泥的需求不断增加,全球水泥产量大幅攀升。当前每年全球生产的混凝土超过10亿立方米,未来混凝土的产量可能还会继续增加,因此可以预见的是水泥需求量的增加将导致CO_(2)排放量的上升。根据联合国环境规划署的数据,建筑碳排放占全球人为碳排放量的41%。水泥生产中的温室气体主要来源于熟料生产。由于粉煤灰难以持续供应,煅烧粘土应该是一种更好的辅助胶凝材料(SCM)。高岭土在巴基斯坦储量丰富,这项调研的目的是通过研究巴基斯坦粘土的地理分布及它们的矿物组分和热物理特性。在实地调研中,从巴基斯坦的39个不同地区收集了不同的粘土样本。通过采用XRD(X-ray diffraction)、XRF(X-ray Fluorescence)、反应活性和热重分析分析样本的矿物含量和热物理特性。这项研究表明,巴基斯坦拥有大量的高岭土储量,且分布临近现有水泥厂群。因此巴基斯坦拥有的丰富高岭土粘土可与石灰石一起用于LC^(3)水泥的生产。通过对水泥业务、已知合格粘土矿床和该国水泥生产过程的全面分析,这项研究进一步支持了在巴基斯坦生产LC^(3)的可行性。 | Syed Muhammad Fahad Hussain Muhammad Danyal Sheikh Tariq Jamil Asad‑ur‑Rehman Khan Tehmina Ayub Chuanlin Hu | 2023 | Low-carbon Materials and Green Construction2023，1，1： | 0 |
| 9 | Sentiment Analysis Based on Performance of Linear Support Vector Machine and Multinomial Naïve Bayes Using Movie Reviews with Baseline Techniques显示文摘Movies are the better source of entertainment.Every year,a great percentage of movies are released.People comment on movies in the form of reviews after watching them.Since it is difficult to read all of the reviews for a movie,summarizing all of the reviews will help make this decision without wasting time in reading all of the reviews.Opinion mining also known as sentiment analysis is the process of extracting subjective information from textual data.Opinion mining involves identifying and extracting the opinions of individuals,which can be positive,neutral,or negative.The task of opinion mining also called sentiment analysis is performed to understand people’s emotions and attitudes in movie reviews.Movie reviews are an important source of opinion data because they provide insight into the general public’s opinions about a particular movie.The summary of all reviews can give a general idea about the movie.This study compares baseline techniques,Logistic Regression,Random Forest Classifier,Decision Tree,K-Nearest Neighbor,Gradient Boosting Classifier,and Passive Aggressive Classifier with Linear Support Vector Machines and Multinomial Naïve Bayes on the IMDB Dataset of 50K reviews and Sentiment Polarity Dataset Version 2.0.Before applying these classifiers,in pre-processing both datasets are cleaned,duplicate data is dropped and chat words are treated for better results.On the IMDB Dataset of 50K reviews,Linear Support Vector Machines achieve the highest accuracy of 89.48%,and after hyperparameter tuning,the Passive Aggressive Classifier achieves the highest accuracy of 90.27%,while Multinomial Nave Bayes achieves the highest accuracy of 70.69%and 71.04%after hyperparameter tuning on the Sentiment Polarity Dataset Version 2.0.This study highlights the importance of sentiment analysis as a tool for understanding the emotions and attitudes in movie reviews and predicts the performance of a movie based on the average sentiment of all the reviews. | Mian Muhammad Danyal Sarwar Shah Khan Muzammil Khan Muhammad Bilal Ghaffar Bilal Khan Muhammad Arshad | 2023 | Journal on Big Data2023，5，1： | 0 |
| 10 | Predictive modeling of COVID-19 death cases in Pakistan显示文摘Background:The world is presently facing the challenges posed by COVID-19(2019-nCoV),especially in the public health sector,and these challenges are dangerous to both health and life.The disease results in an acute respiratory infection that may result in pain and death.In Pakistan,the disease curve shows a vertical trend by almost 256K established cases of the diseases and 6035 documented death cases till August 5,2020.Objective:The primary purpose of this study is to provide the statistical model to predict the trend of COVID-19 death cases in Pakistan.The age and gender of COVID-19 victims were represented using a descriptive study.Method:ology:Three regression models,which include Linear,logarithmic,and quadratic,were employed in this study for the modelling of COVID-19 death cases in Pakistan.These three models were compared based on R2,Adjusted R2,AIC,and BIC criterions.The data utilized for the modelling was obtained from the National Institute of Health of Pakistan from February 26,2020 to August 5,2020.Conclusion:The finding deduced after the prediction modelling is that the rate of mortality would decrease by the end of October.The total number of deaths will reach its maximum point;then,it will gradually decrease.This indicates that the curve of total deaths will continue to be flat,i.e.,it will shift to be constant,which is also the upper bound of the underlying function of absolute death. | Muhammad Daniyal Roseline Oluwaseun Ogundokun Khadijah Abid Muhammad Danyal Khan Opeyemi Eyitayo Ogundokun | 2020 | Infectious Disease Modelling2020，5，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员