检索结果-南通市图书馆

Appraising the Manifestation of Optimism Bias and Its Impact on Human Perception of Cyber Security: A Meta Analysis

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Information Security 2023年第2期14卷 93-110页

作者： Khaled M. Alnifie charles kim Department of Electrical Engineering and Computer Science Howard University Washington DC USA

Cyber threats and risks are increasing exponentially with time. For preventing and defense against these threats and risks, precise risk perception for effective mitigation is the first step. Risk perception is necessary requirement to mitigate risk as it drives the security strategy at the organizational level and human attitude at individual level. Sometime, individuals understand there is a risk that a negative event or incident can occur, but they do not believe there will be a personal impact if the risk comes to realization but instead, they believe that the negative event will impact others. This belief supports the common belief that individuals tend to think of themselves as invulnerable, i.e., optimistically bias about the situation, thus affecting their attitude for taking preventive measures due to inappropriate risk perception or overconfidence. The main motivation of this meta-analysis is to assess that how the cyber optimistic bias or cyber optimism bias affects individual’s cyber security risk perception and how it changes their decisions. Applying a meta-analysis, this study found that optimistic bias has an overall negative impact on the cyber security due to the inappropriate risk perception and considering themselves invulnerable by biasing that the threat will not occur to them. Due to the cyber optimism bias, the individual will sometimes share passwords by considering it will not be maliciously used, lack in adopting of preventive measures, ignore security incidents, wrong perception of cyber threats and overconfidence on themselves in the context of cyber security.

关键词： Cyber Security Meta-Analysis Optimistic Bias Optimism Bias Risk Perception Cognitive Bias

Comparison of the extrusion rate of Crawford tubes

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Ophthalmology(English edition) 2015年第4期8卷 791-793页

作者： Kira L.Segal Sarah H.Van Tassel charles kim Nicole Hsu Ashutosh Kacker Gary J.Lelli Jr Department of Ophthalmology Weill Cornell Medical College Department of Otolaryngology Weill Cornell Medical College

· AIM: To compare the outcomes of dacryocystorhinostomy(DCR) using traditional Crawford tubes(TCT) and Crawford tubes with suture(CTS) in the lumen.· METHODS: Retrospective case series consisting of patients who underwent DCR between 2008 and 2013.·RESULTS: A total of 61 DCRs were performed on 50 patients. Patients who underwent DCR using CTS had higher rates of prolapse compared to the TCT group(50% vs 9.4%; P =0.003). Stent removal occurred earlier in patients who received CTS(3.3mo vs 5.1mo; P =0.004). Success rates were equivalent between the two groups(75% vs 81.1%; P =0.684).·CONCLUSION: CTS in the lumen increases the risk of prolapse, prompting earlier tube removal in patients following DCR for nasolacrimal duct obstruction(NLDO).Earlier removal of tubes does not appear to significantly decrease success rates.

关键词： nasolacrimal duct obstruction dacryocystorhinostomy dacryocystitis

Why Can Multiple Imputations and How (MICE) Algorithm Work?

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Open Journal of Statistics 2021年第5期11卷 759-777页

作者： Abdullah Z. Alruhaymi charles J. kim Department of Electrical Engineering and Computer Science Howard University Washington DC USA

Multiple imputations compensate for missing data and produce multiple datasets by regression model and are considered the solver of the old problem of univariate imputation. The univariate imputes data only from a specific column where the data cell was missing. Multivariate imputation works simultaneously, with all variables in all columns, whether missing or observed. It has emerged as a principal method of solving missing data problems. All incomplete datasets analyzed before Multiple Imputation by Chained Equations (MICE) presented were misdiagnosed;results obtained were invalid and should not be countable to yield reasonable conclusions. This article will highlight why multiple imputations and how the MICE work with a particular focus on the cyber-security dataset. Removing missing data in any dataset and replacing it is imperative in analyzing the data and creating prediction models. Therefore, a good imputation technique should recover the missingness, which involves extracting the good features. However, the widely used univariate imputation method does not impute missingness reasonably if the values are too large and may thus lead to bias. Therefore, we aim to propose an alternative imputation method that is efficient and removes potential bias after removing the missingness.

关键词： Multiple Imputations Imputations Algorithms MICE Algorithm

Study on the Missing Data Mechanisms and Imputation Methods

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Open Journal of Statistics 2021年第4期11卷 477-492页

作者： Abdullah Z. Alruhaymi charles J. kim Department of Electrical Engineering and Computer Science Howard University Washington DC USA

The absence of some data values in any observed dataset has been a real hindrance to achieving valid results in statistical research. This paper aimed at the missing data widespread problem faced by analysts and statisticians in academia and professional environments. Some data-driven methods were studied to obtain accurate data. Projects that highly rely on data face this missing data problem. And since machine learning models are only as good as the data used to train them, the missing data problem has a real impact on the solutions developed for real-world problems. Therefore, in this dissertation, there is an attempt to solve this problem using different mechanisms. This is done by testing the effectiveness of both traditional and modern data imputation techniques by determining the loss of statistical power when these different approaches are used to tackle the missing data problem. At the end of this research dissertation, it should be easy to establish which methods are the best when handling the research problem. It is recommended that using Multivariate Imputation by Chained Equations (MICE) for MAR missingness is the best approach to dealing with missing data.

关键词： Missing Data Mechanisms Imputation Techniques Models

Case Study on Data Analytics and Machine Learning Accuracy

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Data Analysis and Information Processing 2021年第4期9卷 249-270页

作者： Abdullah Z. Alruhaymi charles J. kim Department of Electrical Engineering and Computer Science Howard University Washington D.C USA

The information gained after the data analysis is vital to implement its outcomes to optimize processes and systems for more straightforward problem-solving. Therefore, the first step of data analytics deals with identifying data requirements, mainly how the data should be grouped or labeled. For example, for data about Cybersecurity in organizations, grouping can be done into categories such as DOS denial of services, unauthorized access from local or remote, and surveillance and another probing. Next, after identifying the groups, a researcher or whoever carrying out the data analytics goes out into the field and primarily collects the data. The data collected is then organized in an orderly fashion to enable easy analysis;we aim to study different articles and compare performances for each algorithm to choose the best suitable classifies.

关键词： Data Analytics Machine Learning Accuracy Cybersecurity Performance

Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

World Journal of Hepatology 2020年第10期12卷 738-753页

作者： Anum Aslam Richard Kinh Gian Do Avinash Kambadakone Bradley Spieler Frank H Miller Ahmed M Gabr Resmi A Charalel charles Y kim David C Madoff Mishal Mendiratta-Lala Department of Radiology University of MichiganAnn ArborMI 48019United States Department of Radiology Memorial Sloan Kettering Cancer CenterNew YorkNY 10065United States Abdominal Imaging and Interventional Radiology Harvard Medical SchoolMassachusetts General HospitalBostonMA 02114United States Department of Radiology Louisiana State University Health Sciences CenterNew OrleansLA 70112United States Department of Radiology Northwestern University Feinberg School of MedicineNorthwestern UniversityChicagoIL 60611United States Department of Interventional Radiology OHSU and Tanta UniversityEgyptPortlandOR 97239United States Department of Radiology Weill Cornell MedicineNew YorkNY 10065United States Department of Radiology Duke University Medical CenterDuke UniversityDurhamNC 27710United States Department of Radiology and Biomedical Imaging Yale School of MedicineNew HavenCT 06520United States School of Medicine 1500 East Medical Center DriveUniversity of MichiganAnn ArborMI 48109United States

Hepatocellular carcinoma(HCC)is a leading cause of morbidity and mortality worldwide,with rising clinical and economic burden as incidence *** are a multitude of evolving treatment options,including locoregional therapies which can be used alone,in combination with each other,or in combination with systemic *** treatment options have shown to be effective in achieving remission,controlling tumor progression,improving disease free and overall survival in patients who cannot undergo resection and providing a bridge to transplant by debulking tumor burden to downstage *** locoregional therapy(LRT),it is crucial to provide treatment response assessment to guide management and liver transplant ***,Liver Imaging Reporting and Data Systems(LI-RADS)Treatment Response Algorithm(TRA)was created to provide a standardized assessment of HCC following *** TRA provides a step by step approach to evaluate each lesion independently for accurate tumor *** this review,we provide an overview of different locoregional therapies for HCC,describe the expected post treatment imaging appearance following treatment,and review the LI-RADS TRA with guidance for its application in clinical *** to other publications,we will also review emerging literature supporting the use of LI-RADS for assessment of HCC treatment response after LRT.

关键词： Hepatocellular carcinoma Liver Imaging Reporting and Data Systems Treatment Response Algorithm Locoregional therapy Liver Imaging Reporting and Data Systems Treatment Response equivocal Arterial phase hyper enhancement Stereotactic body radiotherapy

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

看图自学吉他演奏

作者： (美)查尔斯·金(charles kim)

来源：南通市图书馆图书评论

学校读者我要写书评

暂无评论

胰腺癌的手术治疗现状

中国普通外科杂志 2013年第9期22卷 1105-1113页

作者： charles B.kim Shuja Ahmed Eddy C.Hsueh 王卓路(编译) 李新营(编译) 美国密苏里州圣路易斯圣·路易斯大学外科不详

整块切除是局限性胰腺癌的治疗方法之一。切除相关围手术期病死率低,但在某些高风险患者中其并发症发生率高达50%。随着围手术期治疗护理水平的提高,包括毗邻血管的可获得阴性切缘的根治性切除已在大型医院里实施,早前在胰腺手术中使用... 详细信息

整块切除是局限性胰腺癌的治疗方法之一。切除相关围手术期病死率低,但在某些高风险患者中其并发症发生率高达50%。随着围手术期治疗护理水平的提高,包括毗邻血管的可获得阴性切缘的根治性切除已在大型医院里实施,早前在胰腺手术中使用微创技术的结果表明其应用前景良好。最新的关于如何降低胰腺相关手术围手术期并发症的数据,在此也将得到讨论。

关键词：胰十二指肠切除术胰体尾切除术腹腔镜胰腺手术

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

根据机织物的机械性质预测织物手感

国外纺织技术 1980年第27期 8-11页

作者： charles J.kim Edward A.Vanghn 李永椿

纺织工业的基本要素是纤维、纱线、织物和整理。在这些领域中的任一方面发生较重要的工艺进展时,其结果就会有新产品引入服装或家俱市场上去,首先试用的品质评定之一是织物手感。评定织物手感的一种途径是测量物理手感参数。它假设手感... 详细信息

纺织工业的基本要素是纤维、纱线、织物和整理。在这些领域中的任一方面发生较重要的工艺进展时,其结果就会有新产品引入服装或家俱市场上去,首先试用的品质评定之一是织物手感。评定织物手感的一种途径是测量物理手感参数。它假设手感现象是机械性能的结果,如果选择适当的物理参数,则手感现象完全可以由织物的机械性质来表示。这种概念具有一定的优点,它用组成的力学参数表示织物手感,因而避免了在纯粹主观评定中

关键词：织物手感机织物机织产品弯曲试验仪