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11.
This paper describes science and technology (S&T) metrics, especially impact of metrics on strategic management. The main messages to be conveyed from this paper are: (1) metrics play many roles in supporting management of the S&T enterprise; (2) metrics can influence S&T development incentives; (3) incorrect selection and implementation of metrics can have negative unintended consequences on the research and research documentation generated and (4) before implementing metrics, an organization should identify and evaluate the intended and unintended consequences of the specific metrics’ implementation, and identify the impact of these consequences on the organization's core mission.  相似文献   
12.
程序设计类课程是工科专业重要的基础课程,介绍了本课程小组依托我院本科实验室平台,提升程序设计系列课程质量的一些探索改革的方法及经验。  相似文献   
13.
It is important for manufacturing companies to provide a standard for product data exchange between diverse computer systems. Past attempts to develop neutral format standards for data exchange have had limited success, and have led to the development of STEP (Standard for the Exchange of Product) as a data exchange standard. The STEP standard makes it easier to integrate systems that process various product life-cycle functions, such as design, engineering, manufacturing, logistics support, and will help to facilitate concurrent engineering. The goal of this paper is to facilitate the computer-readable exchange of the product bill of materials (BOM) information for product data management (PDM). In this paper, the STEP ISO 10303-21 is implemented to share the product data information in a manufacturing environment. A structural product bill of materials is first transformed into an Excel file format, then a PDM Schema Exporter is utilized to export a BOM Excel file to a STEP Part 21 file. A C# program decodes the STEP file into BOM information to update the PDM databases in SQL server for product data management. Also, SAS code is written to generate the indented bill of materials from the BOM information, to draw a tree diagram to present an accurate structural view of a product, and to export to PDM databases for product data structural view.  相似文献   
14.
This study aims to address the gaps inherent in existing studies by exploring the salient e-servicescape attributes. Employing the Means-End Chain (MEC) approach, empirical evidence was obtained through in-depth interviews with online shoppers using laddering technique to determine the most frequently mentioned attributes from four servicescape dimensions: (1) ambient; (2) design; (3) signs, symbols and artifacts; and (4) interaction. Accordingly, we laddered three levels of online shoppers’ responses from concrete to less concrete abstractions, i.e. attributes, benefits, and end-desirable beliefs. As a result, seven salient e-servicescape attributes were identified. Each of the four dimensions suggests the attributes’ linkage to benefits and end-desirable beliefs. Specifically, the study finds quality photograph, as the salient attribute of the ambient dimension, may set the point of initial attraction and move shoppers from understanding the product to linking the web site contents. In the design dimension, navigation bar, categorization, and simple arrangement are the salient attributes. Company logo represents the most salient attribute under the signs, symbols and artifacts dimension because it not only facilitates recognition and recall of prominent web sites, it also acts as the determinant of perceived risks. In the interaction dimension, although pricing information is the salient attribute that evokes happiness and confidence among online shoppers, it may dilute their perception on web site's success. Instead, confirmation mail can possibly act as a determinant to web site's success. By offering a finer granularity of information, our findings provide insights to online sellers on the salient attributes to consider in order to effectively promote their shopping web sites to create positive emotional response and buying behavior among the online shoppers.  相似文献   
15.
This paper is concerned with a security problem about malicious integrity attacks in state estimation system, in which multiple smart sensors locally measure information and transmit it to a remote fusion estimator though wireless channels. A joint constraint is considered for the attacker behaviour in each channel to keep stealthiness under a residual-based detector on the remote side. In order to degrade the estimator performance, the attacker will maximize the trace of the remote state estimation error covariance which is derived based on Kalman filter theory. It is proved that the optimal linear attack strategy design problem is convex and finally turned into a semi-definite programming problem. In addition, the tendency of attack behaviour on recursive and fixed Kalman filter system is analyzed. Several examples are given to illustrate the theoretical results.  相似文献   
16.
Compared with explicit sentiment analysis that attracts considerable attention, implicit sentiment analysis is a more difficult task due to the lack of sentimental words. The abundant information in an external sentimental knowledge base can play a significant complementary and expansion role. In this paper, a sentimental commonsense knowledge graph embedded multi-polarity orthogonal attention model is proposed to learn the implication of the implicit sentiment. We analyzed the effectiveness of different knowledge relations in the ConceptNet knowledge base in detail, and proposed a matching and filtering method to distill useful knowledge tuples for implicit sentiment analysis automatically. By introducing the sentimental information in the knowledge base, the proposed model can extend the semantic of a sentence with an implicit sentiment. Then, a bi-directional long–short term memory model with multi-polarity orthogonal attention is adopted to fuse the distilled sentimental knowledge with the semantic embedding, effectively enriching the representation of sentences. Experiments on the SMP2019-ECISA implicit sentiment dataset show that our model fully utilizes the information of the knowledge base and improves the performance of Chinese implicit sentiment analysis.  相似文献   
17.
In Canada, the healthcare system remains paper-laden, and EHR adoption by physicians lags behind many other industrial countries. Recent reviews identified individual and organizational factors as having the most important influence on EHR adoption and proposed taking a multidimensional perspective to study these adoption determinants. However, most studies have focused on physician EHR adoption measured at the individual level.ObjectivesFirst, we used a multilevel regression model to assess whether organizations' characteristics influenced physician behavioral intention to use EHR. Second, we sought to identify individual and organizational factors that explain physician intention.MethodsWe conducted a prospective cross-sectional study among physicians in 49 primary healthcare organizations in four regions of the province of Quebec (Canada). We first analyzed relationships between individual and organizational variables and intention. Second, we performed multilevel modeling to explore organizational characteristics' impact on physician intention to use EHR.Results278 completed questionnaires were returned from the 31 organizations that had at least 5 participants (response rate: 39.8%). Questionnaires showed satisfactory psychometric properties. The multilevel modeling found no significant overall influence of organizational level on physician intention to use EHR. Second, six of the individual level constructs had a positive and strongly significant impact on physician intention.ConclusionIn the Quebec context, organization-level seems to have no significant impact on EHR adoption by physicians. Hence, particular strategies are more likely to succeed if they target individual physicians rather than organizations.  相似文献   
18.
《Journal of Informetrics》2019,13(2):485-499
With the growing number of published scientific papers world-wide, the need to evaluation and quality assessment methods for research papers is increasing. Scientific fields such as scientometrics, informetrics, and bibliometrics establish quantified analysis methods and measurements for evaluating scientific papers. In this area, an important problem is to predict the future influence of a published paper. Particularly, early discrimination between influential papers and insignificant papers may find important applications. In this regard, one of the most important metrics is the number of citations to the paper, since this metric is widely utilized in the evaluation of scientific publications and moreover, it serves as the basis for many other metrics such as h-index. In this paper, we propose a novel method for predicting long-term citations of a paper based on the number of its citations in the first few years after publication. In order to train a citation count prediction model, we employed artificial neural network which is a powerful machine learning tool with recently growing applications in many domains including image and text processing. The empirical experiments show that our proposed method outperforms state-of-the-art methods with respect to the prediction accuracy in both yearly and total prediction of the number of citations.  相似文献   
19.
In response to this digital divide between developed and developing countries in their use of computers to prepare students for the global economy, the World Bank and, subsequently, the World Links organization provided schools in developing countries with networked computers and training that supports integration of ICT into teaching. This article synthesizes findings from 3 years of evaluative research on the program. The findings are based on surveys of teachers, students, administrators, and technology coordinators, as well as a field test assessment of student learning. The study examines the services provided, documents their impact, and draws implications for policy in developing countries.  相似文献   
20.
The diffusion of knowledge within organizations provides opportunities for interpersonal co-operation, improves creative ability and therefore leads to competitive advantage. Focus of prior literature on knowledge diffusion has been on identifying factors that influence individuals' behavioral intentions to seek and share knowledge. However, knowledge diffusion as an enigmatic, emergent and organizational-level process is more than the simple aggregation of individual attributes and needs to be further investigated. Accordingly, this study focuses on three distinct system-level factors, i.e., architectures of connections among individuals, distributions of knowledge roles and designs of selection mechanisms and analyses their effects on knowledge diffusion. To be more specific, we examine three distinct knowledge roles: seekers, contributors and brokers. We also distinguish between three types of selection mechanisms: objective selection mechanisms, feedback-based selection mechanisms and random selection mechanisms. By conducting agent-based simulations on four representative networks, i.e., regular networks, random networks, small-world networks and scale-free networks, our results show that the optimal knowledge diffusion performance can be achieved on scale-free networks where all agents implement objective mechanisms and show characteristics of brokers. Moreover, our results (a) highlight the significance of brokers, (b) illustrate the superiority of objective selection rules and (c) demonstrate that scale-free networks provide an optimal framework for knowledge diffusion. Furthermore, we also find the interdependent relevance of these three factors to knowledge diffusion and propose a qualitative explanation of these findings.  相似文献   
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