.Net下基于GDI＋的数码照片信息提取

由于数码相机存储容量的限制,导致不同批次拍摄的照片命名相同而出现照片管理问题。利用GD I＋提供的关于位图操作的类,实现照片EX IF信息的提取并根据提取信息重命名照片,方便了数码照片的管理。     

中学生元认知能力培养初探

元认知是对认知活动的自我意识和自我调节。中学生元认知能力包括元理解能力、元记忆能力以及解决问题中的元认知能力。探讨中学生元认知能力的培养,对解决“教会学生如何学习”的问题具有十分重要的意义。     

Electronic Data Interchange: Research Review and Future Directions*

For nearly two decades, electronic data interchange (EDI) has been widely viewed as a technology pivotal to supply chain management that has also provided benefits to firms on multiple levels. Despite a substantial body of literature, there are a number of conflicting and inconclusive research results in this field. In this study, we synthesize the diverse body of research in EDI by organizing the literature into an initial theoretical framework. Based on a meta‐analysis of results from the empirical literature, we seek to clarify conflicting results from the literature in order to develop a more unified theoretical framework of contextual variables associated with EDI adoption factors and outcomes. From a managerial standpoint, our literature‐based framework offers a set of guidelines for making successful EDI adoption and implementation decisions.     

A Meta Analytic Approach to Testing for Panel Cointegration

We propose new tests for panel cointegration by extending the panel unit root tests of Choi (2001 Choi , I. ( 2001 ). Unit root tests for panel data . Journal of International Money and Finance 20 ( 2 ): 249 – 272 .[Crossref], [Web of Science ®] , [Google Scholar]) and Maddala and Wu (1999 Maddala , G. , Wu , S. ( 1999 ). A comparative study of unit root tests with panel data and a new simple test . Oxford Bulletin of Economics and Statistics 61 ( S1 ): 631 – 652 .[Crossref] , [Google Scholar]) to the panel cointegration case. The tests are flexible, intuitively appealing, and relatively easy to compute. We investigate the finite sample behavior in a simulation study. Several variants of the tests compare favorably in terms of both size and power with other widely used panel cointegration tests.     

伦理学究竟研究什么

伦理学,就其最重要和最完美的部分来说,是如何治国的科学,是治理社会的最高级、最重要、最关键的科学。伦理学,就其全部内容来说,则是关于道德价值的科学,是关于优良道德的科学。伦理学分为元伦理学和规范伦理学以及美德伦理学。元伦理学主要通过研究＂是与应该＂的关系而提出确立道德价值判断之真理和制定优良的道德规范之方法：元伦理学是关于优良道德规范制定方法的伦理学。规范伦理学主要通过社会制定道德的目的,从人的行为事实如何的客观本性中推导、制定出人的行为应该如何的优良道德规范：规范伦理学是关于优良道德规范制定过程的伦理学。美德伦理学主要研究优良道德如何由社会的外在规范转化为个人内在美德,从而使优良道德得到实现的途径：美德伦理学是关于优良道德实现途径的伦理学。     

Spin doctors in the spotlight: Effects of strategic press and publicity coverage on perceptions of political PR

News media often engage in strategy framing when covering politics, including strategic press and publicity coverage coined to express the focus on the media's role in the game of politics, as well as politicians’ calculated publicity and public relations efforts in relation to the media. This study examines the effect of strategic press and publicity coverage on perceptions of political PR once its practitioners and their publicity efforts have become the object of reporting. Drawing on data from two experiments (n = 863), we show how political PR professionals have themselves little to gain from becoming part of the story.     

The Effects of Imputing the Missing Standard Deviations on the Standard Error of Meta Analysis Estimates

A common problem in the meta analysis of continuous data is that some studies do not report sufficient information to calculate the standard deviation (SDs) of the treatment effect. One of the approaches in handling this problem is through imputation. This article examines the empirical implications of imputing the missing SDs on the standard error (SE) of the overall meta analysis estimate. The simulation results show that if the SDs are missing under Missing Completely at Random and Missing at Random mechanism, imputation is recommended. With non random missing, imputation can lead to overestimation of the SE of the estimate.     

Functional outcomes and complications following B-TURP versus HoLEP for the treatment of benign prostatic hyperplasia: a review of the literature and Meta-analysis

Objective: To conduct a systematic review and Meta-analysis of the literature on the efficacy and safety of B-TURP versus HoLEP for the treatment of benign prostatic hyperplasia (BPH) in terms of demographic and clinical baseline characteristics, peri-operative variables, and postoperative outcomes and complications.

Methods: Trials comparing B-TURP and HoLEP were identified systematically using Pubmed, Embase, CNKI, Web of Science and the Cochrane Library. Primary outcomes were the peak urinary flow rate (Q_max), post-void residual volume (PVR) and international prostate symptom score (IPSS). Secondary outcomes were operation time, irrigation duration, catheterization duration, resected tissue and complications.

Results: Four trials assessing B-TURP and HoLEP were considered eligible for Meta-analysis, including three randomized controlled trials (RCTs) and one retrospective study. There was no statistically significant difference between B-TURP and HoLEP in terms of Q_max, IPSS, PVR at 3–6?months follow-up, operation duration, catheterization duration, resected tissue and complications (p?>?0.05). HoLEP was associated with a significantly shorter irrigation time as compared with B-TURP (p?Conclusion: Both B-TURP and HoLEP are safe and minimally invasive techniques that are similar in terms of symptomatic relief, although these findings need further validation in larger RCTs involving larger numbers of patients and over a longer follow-up duration for B-TURP or HoLEP before a new gold standard procedure emerges for surgical treatment of BPH.     

Fitting ERGMs on big networks

The exponential random graph model (ERGM) has become a valuable tool for modeling social networks. In particular, ERGM provides great flexibility to account for both covariates effects on tie formations and endogenous network formation processes. However, there are both conceptual and computational issues for fitting ERGMs on big networks. This paper describes a framework and a series of methods (based on existent algorithms) to address these issues. It also outlines the advantages and disadvantages of the methods and the conditions to which they are most applicable. Selected methods are illustrated through examples.