scholarly journals Measuring academic entities’ impact by content-based citation analysis in a heterogeneous academic network

2021 ◽  
Author(s):  
Fang Zhang ◽  
Shengli Wu
Keyword(s):  
Citation Analysis ◽  
Ensemble Learning ◽  
Impact Evaluation ◽  
Heterogeneous Network ◽  
State Of The Art ◽  
Government Agencies ◽  
Learning Method ◽  
Research Organizations ◽  
Academic Network ◽  
The Impact

AbstractEvaluating the impact of papers, researchers and venues objectively is of great significance to academia and beyond. This may help researchers, research organizations, and government agencies in various ways, such as helping researchers find valuable papers and authoritative venues and helping research organizations identify good researchers. A few studies find that rather than treating citations equally, differentiating them is a promising way for impact evaluation of academic entities. However, most of those methods are metadata-based only and do not consider contents of cited and citing papers; while a few content-based methods are not sophisticated, and further improvement is possible. In this paper, we study the citation relationships between entities by content-based approaches. Especially, an ensemble learning method is used to classify citations into different strength types, and a word-embedding based method is used to estimate topical similarity of the citing and cited papers. A heterogeneous network is constructed with the weighted citation links and several other features. Based on the heterogeneous network that consists of three types of entities, we apply an iterative PageRank-like method to rank the impact of papers, authors and venues at the same time through mutual reinforcement. Experiments are conducted on an ACL dataset, and the results demonstrate that our method greatly outperforms state-of-the art competitors in improving ranking effectiveness of papers, authors and venues, as well as in being robust against malicious manipulation of citations.

Cluster development policies and firms’ performance: evidence from an emerging economy in Latin America

2020 ◽  
Vol 12 (5) ◽  
pp. 687-726
Author(s):  
Diego Aboal ◽  
Marcelo Perera ◽  
Flavia Rovira
Keyword(s):  
Latin America ◽  
Impact Evaluation ◽  
State Of The Art ◽  
Positive Impact ◽  
Evaluation Methods ◽  
The Body ◽  
Maximum Effect ◽  
Content Type ◽  
Cluster Development ◽  
The Impact

Purpose Impact evaluations of cluster programs at firm level are still scarce in the literature. The available evidence on the effectiveness of such programs based on rigorous quantitative impact evaluations is mixed. The purpose of this paper is to contribute to the body of literature the evaluates quantitatively the impact of cluster programs in emerging economies on firms’ performance. In particular, the authors evaluate the impact of a cluster program in Uruguay on firms’ sales and exports. Design/methodology/approach The authors use state-of-the-art impact evaluation methods to evaluate the impact of the program. In particular, difference in differences and matching methods Findings There is very strong evidence that the program had a positive impact on exports and the propensity to export of firms. However, the evidence of a positive impact on sales is weak. The evidence suggests that the maximum effect of the program can be found in the fourth or fifth year after the intervention. Originality/value The contribution of this paper to the literature is fourfold. First, this paper adds to the scarce body of literature evaluating the effects of cluster development programs with state-of-the-art impact evaluation methods. Second, it adds evidence for Latin America, a region that has implement a number of cluster policies (Maffioli et al., 2016) and where, as far as the authors know, there is only one additional paper evaluating rigorously the impacts of them (Figal-Garone et al., 2015). In addition, the authors provide evidence about the timing of the effects after the implementation of a cluster policy, an important issue that is mostly overlooked in the existent literature. Finally, the paper focus its attention on the impacts on exports and the propensity to export of firms, key elements for small open economies in Latin America that are heavily reliant on foreign currency inflows.

A Feature Adaptive Learning Method for High-Density sEMG-Based Gesture Recognition

2021 ◽  
Vol 5 (1) ◽  
pp. 1-26
Author(s):  
Yingwei Zhang ◽  
Yiqiang Chen ◽  
Hanchao Yu ◽  
Xiaodong Yang ◽  
Ruizhe Sun ◽  
...  
Keyword(s):  
Ensemble Learning ◽  
Gesture Recognition ◽  
Adaptive Learning ◽  
State Of The Art ◽  
Learning Method ◽  
Cloud Server ◽  
The Matrix ◽  
Benchmark Datasets ◽  
World Environment ◽  
Server Collaboration

Surface electromyography (sEMG) array based gesture recognition, which is widely-used, could provide natural surfaces for human-computer interaction. Currently, most existing gesture recognition methods with sEMG array only work with the fixed and pre-defined electrodes configuration. However, changes in the number of electrodes (i.e., increment or decrement) is common in real scenarios due to the variability of physiological electrodes. In this paper, we study this challenging problem and propose a random forest based ensemble learning method, namely feature incremental and decremental ensemble learning (FIDE). FIDE is able to support continuous changes in the number of electrodes by dynamically maintaining the matrix sketches of every sEMG electrode and spatial structure of sEMG array. To evaluate the performance of FIDE, we conduct extensive experiments on three benchmark datasets, including NinaPro, CSL-hdemg, and CapgMyo. Experimental results demonstrate that FIDE outperforms other state-of-the-art methods and has the potential to adapt to the evolution of electrodes in the changing environments. Moreover, based on FIDE, we implement a multi clients/server collaboration system, namely McS, to support feature adaption in real-world environment. By collecting sEMG using two clients (smartphone and personal computer) and adaptively recognizing gestures in the cloud server, FIDE significantly improves the gesture recognition accuracy in electrode increment and decrement circumstances.

The Impact Evaluation of the Maryland Break the Cycle Initiative

2003 ◽  
Author(s):  
Adele Harrell ◽  
John Roman ◽  
Avinash Bhati ◽  
Barbara Parthasarathy
Keyword(s):  
Impact Evaluation ◽  
The Impact

The Impact of the Public Expenditure Cuts Policy on the Labor Market in Vietnam

2012 ◽  
pp. 22-46
Author(s):  
Huong Nguyen Thi Lan ◽  
Toan Pham Ngoc
Keyword(s):  
Labor Market ◽  
Computable General Equilibrium ◽  
Impact Evaluation ◽  
Public Expenditure ◽  
Computable General Equilibrium Model ◽  
Living Standard ◽  
Input Output ◽  
Policy Makers ◽  
The Public ◽  
The Impact

The purpose of this study is to evaluate the impact of public expenditure cuts on employment and income to support policies for the development of the labor mar- ket. Impact evaluation is of interest for policy makers as well as researchers. This paper presents a method – that is based on a Computable General Equilibrium model – to analyse the impact of the public expenditure cuts policy on employment and income in industries and occupations in Vietnam using macro data, the Input output table, 2006, 2008 and the 2010 Vietnam Household Living Standard Survey.

Assessment of small businesses activities in Ukraine

2019 ◽  
pp. 40-47
Author(s):  
Igor Ponomarenko ◽  
Kateryna Volovnenko
Keyword(s):  
Comparative Analysis ◽  
Statistical Analysis ◽  
Small Business ◽  
Small Businesses ◽  
Government Agencies ◽  
Small Enterprises ◽  
The Subject ◽  
Business Entities ◽  
The Impact ◽  
Micro Enterprises

The subject of the research is a set of approaches to the statistical analysis ofthe activities of small business entities in Ukraine, including micro-enterprises. The purpose of writing this article is to study of the features of functioningof small business entities in Ukraine. Methodology. The research methodology isto use a system-structural and comparative analysis (to study the change in thenumber of small enterprises by major components); monographic (when studyingmethods of statistical analysis of small businesses); economic analysis (when assessing the impact of small business entities on socio-economic phenomena andprocesses in Ukraine). The scientific novelty consists to determine the features ofthe functioning of small businesses in Ukraine in modern conditions. The influenceof the activities of the main socio-economic and political indicators on the activities of small enterprises in recent periods of time has been identified. It has beenestablished that there is flexibility in the development of strategies by small businesses in conditions of significant competition, which makes it possible to quicklyrespond to changing situations in specific markets. Conclusions. The use of acomprehensive statistical analysis of small businesses functioning in Ukraine willallow government agencies to develop a set of measures to optimize the activitiesof these enterprises, which ultimately will positively affect the strengthening oftheir competitiveness and will contribute to the growth of the national economicsystem.

The unknown acquaintance, or the impact factor and others

2007 ◽  
Vol 148 (4) ◽  
pp. 165-171
Author(s):  
Anna Berhidi ◽  
Edit Csajbók ◽  
Lívia Vasas
Keyword(s):  
Impact Factor ◽  
Citation Analysis ◽  
Index Number ◽  
Scientific Performance ◽  
H Index ◽  
Master List ◽  
The Many ◽  
The Impact

Nobody doubts the importance of the scientific performance’s evaluation. At the same time its way divides the group of experts. The present study mostly deals with the models of citation-analysis based evaluation. The aim of the authors is to present the background of the best known tool – Impact factor – since, according to the authors’ experience, to the many people use without knowing it well. In addition to the „nonofficial impact factor” and Euro-factor, the most promising index-number, h-index is presented. Finally new initiation – Index Copernicus Master List – is delineated, which is suitable to rank journals. Studying different indexes the authors make a proposal and complete the method of long standing for the evaluation of scientific performance.

Analyse The Impact Of Moocs To Improve The Performance Of Faculty Members In Delhi Ncr

2019 ◽  
Vol 118 (9) ◽  
pp. 304-312
Author(s):  
Dr.Deepa Gupta ◽  
Dr.Mukul Gupta
Keyword(s):  
Teaching And Learning ◽  
Research Paper ◽  
Faculty Members ◽  
Traditional Teaching ◽  
Learning Method ◽  
Massive Online Open Courses ◽  
Open Courses ◽  
The Impact

In this research paper, the researcher has attempted to analyse the impact of MOOCs to improve the performance of faculty members concerning Delhi NCR. Massive Online Open Courses (MOOCs) are evolving rapidly, and many kinds of research have been conducted to explore the structure, effectiveness and issues arise in MOOCs. The free accessibility of MOOCs has believed in soon replace the traditional teaching and learning method.

scholarly journals Comparison of Industrial Quenching Oils

Metals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 250
Author(s):  
Jiří Hájek ◽  
Zaneta Dlouha ◽  
Vojtěch Průcha
Keyword(s):  
State Of The Art ◽  
Cooling Capacity ◽  
Steel Grade ◽  
Cooling Curves ◽  
Cooling Process ◽  
Industrial Practice ◽  
Product Size ◽  
Cct Curve ◽  
Hardening Power ◽  
The Impact

This article is a response to the state of the art in monitoring the cooling capacity of quenching oils in industrial practice. Very often, a hardening shop requires a report with data on the cooling process for a particular quenching oil. However, the interpretation of the data can be rather difficult. The main goal of our work was to compare various criteria used for evaluating quenching oils. Those of which prove essential for operation in tempering plants would then be introduced into practice. Furthermore, the article describes monitoring the changes in the properties of a quenching oil used in a hardening shop, the effects of quenching oil temperature on its cooling capacity and the impact of the water content on certain cooling parameters of selected oils. Cooling curves were measured (including cooling rates and the time to reach relevant temperatures) according to ISO 9950. The hardening power of the oil and the area below the cooling rate curve as a function of temperature (amount of heat removed in the nose region of the Continuous cooling transformation - CCT curve) were calculated. V-values based on the work of Tamura, reflecting the steel type and its CCT curve, were calculated as well. All the data were compared against the hardness and microstructure on a section through a cylinder made of EN C35 steel cooled in the particular oil. Based on the results, criteria are recommended for assessing the suitability of a quenching oil for a specific steel grade and product size. The quenching oils used in the experiment were Houghto Quench C120, Paramo TK 22, Paramo TK 46, CS Noro MO 46 and Durixol W72.

scholarly journals Smoothing additive manufactured parts using ns-pulsed laser radiation

2021 ◽  
Author(s):  
Florian Kuisat ◽  
Fernando Lasagni ◽  
Andrés Fabián Lasagni
Keyword(s):  
Surface Roughness ◽  
Mechanical Performance ◽  
State Of The Art ◽  
Pulsed Laser ◽  
Industrial Applications ◽  
Laser Source ◽  
Pulsed Laser Radiation ◽  
Current State ◽  
The Impact

AbstractIt is well known that the surface topography of a part can affect its mechanical performance, which is typical in additive manufacturing. In this context, we report about the surface modification of additive manufactured components made of Titanium 64 (Ti64) and Scalmalloy®, using a pulsed laser, with the aim of reducing their surface roughness. In our experiments, a nanosecond-pulsed infrared laser source with variable pulse durations between 8 and 200 ns was applied. The impact of varying a large number of parameters on the surface quality of the smoothed areas was investigated. The results demonstrated a reduction of surface roughness Sa by more than 80% for Titanium 64 and by 65% for Scalmalloy® samples. This allows to extend the applicability of additive manufactured components beyond the current state of the art and break new ground for the application in various industrial applications such as in aerospace.

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