bluuebunny/crossref_metadata_2025_split huggingface dataset:
CitationAS: A Tool of Automatic Survey Generation Based on Citation Content
Authors: Wang Jie , Zhang Chengzhi , Zhang Mengying , Deng Sanhong 
Published: June 2018

Abstract

Purpose
This study aims to build an automatic survey generation tool, named CitationAS, based on citation content as represented by the set of citing sentences in the original articles.

Design/methodology/approach
Firstly, we apply LDA to analyse topic distribution of citation content. Secondly, in CitationAS, we use bisecting K-means, Lingo and STC to cluster retrieved citation content. Then Word2Vec, WordNet and combination of them are applied to generate cluster labels. Next, we employ TF-IDF, MMR, as well as considering sentence location information, to extract important sentences, which are used to generate surveys. Finally, we adopt manual evaluation for the generated surveys.

Findings
In experiments, we choose 20 high-frequency phrases as search terms. Results show that Lingo-Word2Vec, STC-WordNet and bisecting K-means-Word2Vec have better clustering effects. In 5 points evaluation system, survey quality scores obtained by designing methods are close to 3, indicating surveys are within acceptable limits. When considering sentence location information, survey quality will be improved. Combination of Lingo, Word2Vec, TF-IDF or MMR can acquire higher survey quality.

Research limitations
The manual evaluation method may have a certain subjectivity. We use a simple linear function to combine Word2Vec and WordNet that may not bring out their strengths. The generated surveys may not contain some newly created knowledge of some articles which may concentrate on sentences with no citing.

Practical implications
CitationAS tool can automatically generate a comprehensive, detailed and accurate survey according to user’s search terms. It can also help researchers learn about research status in a certain field.

Originality/value
CitaitonAS tool is of practicability. It merges cluster labels from semantic level to improve clustering results. The tool also considers sentence location information when calculating sentence score by TF-IDF and MMR.
A Study of Methods to Identify Industry-University-Research Institution Cooperation Partners based on Innovation Chain Theory
Authors: Xu Haiyun , Wang Chao , Dong Kun , Luo Rui , Yue Zenghui , Pang Hongshen 
Published: June 2018

Abstract

Purpose
This study aims at identifying potential industry-university-research collaboration (IURC) partners effectively and analyzes the conditions and dynamics in the IURC process based on innovation chain theory.

Design/methodology/approach
The method utilizes multisource data, combining bibliometric and econometrics analyses to capture the core network of the existing collaboration networks and institution competitiveness in the innovation chain. Furthermore, a new identification method is constructed that takes into account the law of scientific research cooperation and economic factors.

Findings
Empirical analysis of the genetic engineering vaccine field shows that through the distribution characteristics of creative technologies from different institutions, the analysis based on the innovation chain can identify the more complementary capacities among organizations.

Research limitations
In this study, the overall approach is shaped by the theoretical concept of an innovation chain, a linear innovation model with specific types or stages of innovation activities in each phase of the chain, and may, thus, overlook important feedback mechanisms in the innovation process.

Practical implications
Industry-university-research institution collaborations are extremely important in promoting the dissemination of innovative knowledge, enhancing the quality of innovation products, and facilitating the transformation of scientific achievements.

Originality/value
Compared to previous studies, this study emulates the real conditions of IURC. Thus, the rule of technological innovation can be better revealed, the potential partners of IURC can be identified more readily, and the conclusion has more value.
Is Participating in MOOC Forums Important for Students? A Data-driven Study from the Perspective of the Supernetwork
Authors: He Chaocheng , Ma Panhao , Zhou Lusha , Wu Jiang 
Published: June 2018

Abstract

Purpose
Compared with traditional course materials used in the classroom, the massive open online course (MOOC) forum that delivers unlimited learning content to students has various advantages. Yet MOOC has also received criticism recently, notably the problem of extremely low participation rates in its discussion forums. This study aims to explore the correlation between forum activity and student course grade in MOOC, and identify more accurately the forum activity levels of participants and the quality of threads in MOOC.

Design/Methodology/Approach
We crawled students’ tests, final exams, exercises, discussions performance data and total scores from a course in Chinese College MOOC from May 2014 to August 2014. And we use the data to analyze the correlation between Forum Participation and Course Performance based on nonparametric tests as well as multiple linear regressions with the software of R. The study provides definitions and algorithms of super degrees based on the supernetwork model to help find high-quality threads and active participants.

Findings
A positive correlation between forum activity and course grade is found in this study. Students who participate in the forum have better performance than those who do not. Using the definitions and algorithms of super degrees in the supernetwork, forum activity levels of participants as well as the quality of threads they employ are identified.

Research limitation
Only limited representative forum participants and threads are used to analyze the activity level and significance of the MOOC forum. Also, the study only investigates one Chinese course on information retrieval. More data and more data sources could be helpful in better understanding the MOOC forum phenomenon.

Practical implications
As super degrees can reveal more latent information and recognize high-quality threads as well as active participants, these parameters can be used to assess needs to improve forum settings and alleviate the problem of low forum participation. The proposed super degrees can be applied in social network domains for further research.

Originality/Value
Definitions and algorithms of super degrees are provided and used for forum analysis. Super degrees can be applied to find high-quality threads and active participants, which is beneficial to guide students to participate in these high-quality threads and have a better understanding of knowledge MOOC provides.
The Effects of B2C Interaction on Customer Loyalty
Authors: Yang Xinyue , Yuan Qinjian 
Published: June 2018

Abstract

Purpose
This research attempts to examine the relationship between B2C interaction and customer loyalty in Business-to-Customer (B2C) context from a new perspective of the interactive tool.

Design/methodology/approach
The scale for B2C interactive tools is of seven dimensions: efficiency, security, fulfillment, mobility, community, cultivation, and customization. A model reflecting the influences of these attributes on customer loyalty is developed and empirically examined based on data collected from 265 B2C customers.

Findings
Results reveal that the fulfillment, mobility, community, and customization of B2C interactive tools can enhance customer loyalty directly and significantly. Efficiency and security, serving as the premise for possible purchase behavior, facilitate fulfillment. In addition, cultivation promotes the formation of customization, which directly strengthens customer loyalty.

Research limitations
Models considering individual-level indicators and combined with classic loyalty mechanisms in B2C context may lead to a deeper understanding of the tested effects of interaction on customer loyalty.

Practical implications
To strengthen B2C interaction and further cultivate loyal customers, making interactive tools more fundamental, flexible, and personalized is critical for B2C enterprises.

Originality/value
This study proposes a new perspective from interactive tools when measuring the relationship between B2C interaction and customer loyalty, and offers a useful theoretical lens and reasonable explanations for investigating customer loyalty in B2C e-commerce context.
Open beam dosimetric characteristics of True Beam medical linear accelerator with flattening filter (WFF) and flattening filter free (FFF) beam
Authors: Mani Karthick Raj , Bhuiyan Md Anisuzzaman , Rahman Md. Shakilur , Azharur Islam S. M. 
Published: June 2018

Abstract
True Beam medical linear accelerator is capable of delivering flattening filter free (FFF) and with flattening filter (WFF) photon beams. True Beam linear accelerator is equipped with five photon beam energies (6 FFF, 6 WFF, 10 FFF, 10 WFF and 15 WFF) as well as six electron beam energies (6 MeV, 9 MeV, 12 MeV, 15 MeV and 18 MeV). The maximum dose rate for the 6 WFF, 10 WFF and 15 WFF is 600 MU/min, whereas 6 FFF has a maximum dose rate of 1400 MU/min and 10 FFF with a maximum dose rate of 2400 MU/min. In this report we discussed the open beam dosimetric characteristics of True Beam medical linear accelerator with FFF and WFF beam. All the dosimetric data (i.e. depth dose, cross-line profiles, diagonal profiles, output factors, MLC transmission, etc.) for 6 MV, 6 FFF, 10 MV, 10 FFF and 15 MV were measured and compared with the published data of the True Beam. Multiple detectors were used in order to obtain a consistent dataset. The measured data has a good consistency with the reference golden beam data. The measured beam quality index for all the beams are in good agreement with the published data. The percentage depth dose at 10 cm depth of all the available photon beams was within the tolerance of the Varian acceptance specification. The dosimetric data shows consistent and comparable results with the published data of other True Beam linear accelerators. The dosimetric data provide us an appreciated perception and consistent among the published data and may be used for future references.
The Combination of Discrete-Event Simulation and Genetic Algorithm for Solving the Stochastic Multi-Product Inventory Optimization Problem
Authors: Jackson Ilya , Tolujevs Jurijs , Reggelin Tobias 
Published: June 2018

Abstract
The paper describes an eventual combination of discrete-event simulation and genetic algorithm to define the optimal inventory policy in stochastic multi-product inventory systems. The discrete-event model under consideration corresponds to the just-in-time inventory control system with a flexible reorder point. The system operates under stochastic demand and replenishment lead time. The utilized genetic algorithm is distinguished for a non-binary chromosome encoding, uniform crossover and two mutation operators. The paper contains a detailed description of the optimization technique and the numerical example of six- product inventory model. The proposed approach contributes to the field of industrial engineering by providing a simple, but still efficient way to compute nearly-optimal inventory parameters with regard to risk and reliability policy. Besides, the method may be applied in automated ordering systems.
Методика аудиту поточних зобов’язань
Authors: Safarova Anna 
Published: June 2018

У статті розглянуто методику проведення аудиту поточних зобов’язань на прикладі кредиторської заборгованості за товари, роботи, послуги. Охарактеризовано основні напрями проведення аудиторської перевірки на кожному з етапів та обґрунтовано застосування робочих документів аудитора
GIS-Based Rainfall Estimator Evaluation and Interpolation Analysis Using ArcGIS
Authors: Mambu Joe Yuan 
Published: June 2018

We have been always trying to predict the weather to minimize risk, produce strategy, and other decision making situation. To achieve this, monitoring method need to be used to gather data. Rainfall monitoring is one of the area that widely used and one of the mostly used method is satellite-based rainfall monitoring. However, there are limitation to apply to the Satellite Rainfall (SR) estimation specifically on its accuracy and lack of certainty. Thus, study that directed to measure the inaccuracies of SR measurements is needed by using data of distribution of Actual Rainfall (AR). The SR data is taken from the National Oceanic and Atmospheric Administration (NOAA)’s Hydro—Estimator while the AR data was from the National Institute of Water and Atmospheric Research (NIWA). Through the statistics and interpolation analysis using ArcGIS, the study shows a prominent result of SR estimation accuracy in the sample area and thus may opens up more similar implementation as well as stands as a good benchmark for future improvement of the method. This study also shows how interpolation method through a GIS software could provide a significant result on a geographical related studies. Keywords : GIS, Geospatial Analysis, Interpolation Analysis, Arcgis
Network Flow Models for Evacuation Planning
Authors: Pyakurel Urmila 
Published: June 2018

Abstract: Because of increasing number of natural and human created disasters worldwide, a research on challenging issues of emergency management are being quite emerging for the betterment of today's complex real-life. The diversified operational research models and their solutions techniques together with their simulation schemes are yet not evident in realizing a generally acceptable solution of these challenging issues. We consider the planning problems in emergencies which is even unsolved yet in general. In this paper, we briefly give the models and algorithms on the existing solution approaches within the framework of evacuation planning network flow models, where the objectives are either to maximize the flow over time or minimize the time for transshipment of the estimated flow. The flow models and solution techniques with their insights presented here highlight the state of existing approaches and hint further direction of research in the field of evacuation optimization. Journal of the Institute of Engineering, 2017, 13(1): 90-101
Efficient Solution Approach to Maximum Flow Evacuation Planning Problem without Flow Conservation Aspect
Authors: Bhandari Phanindra Prasad , Khadka Shree Ram 
Published: June 2018

An attempt of shifting as more people as possible and/or their logistics from a dangerous place to a safer place is an evacuation planning problem. Such problems modeled on network have been extensively studied and the various efficient solution procedures have been established. The solution strategies for these problems are based on source-sink path augmentation and the flow function satisfies the flow conservation at each intermediate node. Besides this, the network flow problem in which flow may not be conserved at node necessarily could also be used to model the evacuation planning problem. This paper proposes a model for maximum flow evacuation planning problem on a single-source-single-sink static network with integral arc capacities with holding capability of evacuees in the temporary shelter at intermediate nodes and extends the model into the dynamic case. Journal of the Institute of Engineering, 2017, 13(1): 108-116
Some Third Order Methods for Solving Nonlinear Equations
Authors: Jnawali Jivandhar 
Published: June 2018

There are several third order numerical methods having same efficiency index appeared in literature for solving nonlinear equations of a single variable. Practically, if we apply these methods in different nonlinear equations, we can observe that all methods are not performed equally for given nonlinear equations. The main objective of this paper is to show through numerical experiment that the performance of some third order methods having the same efficiency index does not perform equally for particular nonlinear equation. For the numerical comparison, we use Matlab software.2010 AMS Subject Classification: 65H05 Journal of the Institute of Engineering, 2017, 13(1): 169-174
शिक्षा क्षेत्रमा फड्को मार्दै लुम्बिनी बौद्ध विश्व बिद्यालय Shikshya Kshetrama Fadko Mardai Lumbini Boudha Bishwo Bidhyalaya
Authors: श्रेष्ठ Shrestha नुछे Nuchhe नारायण Narayan 
Published: June 2018

शिक्षा देशको मेरुदण्ड हो । शिक्षाबिना कुनै पनि राष्ट, समाज अगाडी बढ्न सक्दैन् ।देशका लागि आवश्यपर्ने जनशक्तिहरु उत्पादन गर्नका लागि उच्च शिक्षाको विकास हुनुपर्नेआवश्यकता रहेको छ । राष्ट्रिय शिक्षा पद्घतिको योजनाअनुरुप विद्यालयहरुमा दिइने शिक्षाको व्यवस्था गर्न बनेको ऐनलाई अक्ष्रसः पालना गर्दै अघि बढ्नुपर्ने आवश्यकता रहेको छ । देशको आर्थिक, सामाजिक, प्राविधिक, सांस्कृतिक तथा प्रशासनिक क्षेत्रको समयानुकुल विकासका लागि नेपालमा रहेका विश्वविद्यालयहरुको महत्वपूर्ण स्थान रहेको छ । नेपालकै पुरानो विश्वविद्यालयको रुपमा त्रिभुवन विश्वविद्यालय रहेको र पछि गएर शिक्षामा गुणस्तर, बैज्ञानिकीकरण गर्दै अघिबढ्नका लागि खुल्ला, दूरशिक्षाका अलावा हालसम्म दश वटा विश्वविद्यालयहरु अस्तित्वमा रहेकाछन् । त्रिभुवन विश्वविद्यालयको दांजोमा अन्य विश्वविद्यालयहरुमा अध्ययन गर्ने विद्यार्थीहरु अझै बढ्न सकिरहेका छैनन् । सबै विश्वविद्यालयहरुले शिक्षामा व्यापक सुधार गर्दै, शिक्षामा प्रतिस्पर्धा र एकता सहकार्य गर्दै विश्वविद्यालयहरुमा प्रविधियुक्त शिक्षाको थालनी, सेमेष्टर प्रणालीलाई व्यवस्थित र विस्तार तथा कार्यतालीका निर्माण गरेर परीक्षाफल समयमै प्रकाशित गर्ने जस्ता कार्यहरुलाई प्राथमिकतामा राखेर अघि बढ्नुपर्दछ ।Journal of the Institute of Engineering, 2017, 13(1): 239-242
Vier realistische Zukunftsbilder für Arbeit 4.0
Authors: Korge Axel 
Published: June 2018

Kurzfassung
Das Umfeld, in dem Unternehmen sich behaupten müssen, verändert sich. Der Beitrag zeigt auf, wie sich Arbeit dadurch weiterentwickelt. Die Zukunft der Arbeit steht nicht fest, sie kann und muss strategisch ausgerichtet werden. Vier Zukunftsbilder für Arbeit geben hierfür eine Hilfestellung. Sie zeigen auf, wie die Technik, die Organisation und die Qualifikation passend zur Marktstrategie gestaltet werden können, sodass daraus wettbewerbsfähige Unternehmen resultieren.
Wie Unternehmen den Umgang mit Methoden gestalten
Authors: Grabner Constantin , Lödding Hermann 
Published: June 2018

Kurzfassung
Spätestens mit Bekanntwerden der Vorteile des Toyota Produktionssystems hat ein methodisches Verbesserungsvorgehen den Weg in deutsche Unternehmen gefunden. In einer bundesweiten Studie mit 40 Unternehmen hat das Institut für Produktionsmanagement und -technik (IPMT) systematisch den Umgang mit Verbesserungsmethoden untersucht. Dieser Fachartikel erläutert die wichtigsten Ergebnisse und zeigt Handlungsfelder für Wissenschaft und Praxis auf.
LEVERAGE, PROFITABILITAS, UKURAN PERUSAHAAN, PENGUNGKAPAN CORPORATE SOCIAL RESPONSIBILITY DENGAN PENDEKATAN KAUSALITAS
Authors: Rivandi Muhammad , Saleh Sri Madona , Septiano Renil 
Published: June 2018

Management of natural resources and environment who is not responsible the main issues disclosure of corporate social responsibility (Wahba & Elsayed, 2015). This study aims to examine the effect of leverage, profitability, and size toward the disclosure of corporate social responsibility. The samples of this study are 51 companies listed in Indonesia Stock Exchange selected by using purposive sampling method. Data analysis method used is panel regression model. The result this study tested that leverage has t statistics the biggest than t table (3,571 ≥ 1,969), profitability has t statistic the biggest than t table (-2,495 ≥ - 1,969), and size of the firm has t statistic the biggest than t table (-1,961 ≥ -1,651). Base on hypothesis tested that the leverage, profitability, and size of the firm have a significant effect toward disclosure of corporate social responsibility
FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN KONSUMEN MEMBELI ASURANSI JIWA AJB BUMIPUTERA 1912
Authors: Anwar Saiful , Dasniar Dasniar , Susanto Romi 
Published: June 2018

ABSTRAKPeranan asuransi dalam dunia bisnis semakin penting, karena timbulnya risiko tidak dapat diprediksi, sedangkan perusahaan harus jalan terus menerus tanpa mengenal kasihan. Dengan mengorbankan satu permil premi asuransi dapat melindungi 100% kerugian yang terjadi. Perbankan bersedia memberikan kredit a mpabila penerima kredit diasurnasi jiwanya sebesar kredit yang diterimanya. Tujuan penelitian ini adalah untuk menguji pengaruh produk, harga, lokasi, dan promosi terhadap keputusan pembelian.Metode pengumpulan data melalui kuisioner yang didistribusikan kepada 86 konsumen asuransi. Data tersebut dianalisis menggunakan regresi linear berganda. Hasil penelitian ini membuktikan bahwa harga, lokasi, dan promosi tidak berpengaruh signifikan terhadap keputusan pembelian jasa asuransi. Dimana nilai t hitung lebih kecil dari t tabel pada level signifikansi 5% (< 1,99). Sedangkan produk berpengaruh signifikan terhadap keputusan pembelian jasa asuransi. Dimana nilai t hitung lebih besar dari t tabel pada level signifikansi 5% (3,79 > 1,99).
Pengaruh Corporate Social Responsibility, Mekanisme Good Corporate Governance, Nilai Perusahaan, Ukuran Perusahaan dan Leverage terhadap Return Saham
Authors: Octavera Sari , Rahadi Febri 
Published: June 2018

Corporate Social Responsibility (CSR) represents the role and concern of the company towards the social and environmental aspects related to the operations of the company that interacts with the environment and society and the efforts towards sustainable development. In addition, no less important in the company's operations and its relation in meeting stakeholder trust and stimulating investors to invest is the emphasis on Corporate Governance (GCG) mechanisms in achieving good corporate governance. Implementation of Corporate Social Responsibility and Corporate Governance mechanism and corporate image, as seen from the company's value (Tobin's Q), Company Size (LnSIZE) and Leverage (DER) will help achieve the objectives of establishing the company and improve the welfare of its owner or shareholder by increasing stock return. The sample of this research is 10 oil palm plantation sub-sector period 2012-2014 period. Testing simultaneously shows CSR, Managerial Ownership, Institutional Ownership, Corporate Value, Size and Leverage effect on stock return of 24.4%. Partially, CSR, managerial ownership and corporate value have a negative effect while institutional ownership has a positive effect on stock return. However, these findings have not been shown to have a significant effect. Meanwhile, firm size and leverage proved to have a positive and significant effect on stock return. Keywords: Corporate Social Responsibility, Good Corporate Governance, Firm Value, Firm Size, Leverage, Stock Return.
Dampak tax avoidence terhadap harga saham dengan corporate governance dan ukuran perusahaan sebagai variabel moderating
Authors: Kusufiyah Yunita Valentina , Anggraini Dina 
Published: June 2018

The main purpose of a company that has go public is to generate profits in order to increase the prosperity of shareholders through increasing the value of the company. One of the management efforts to increase the value of the company is to reduce tax expense. Tax expense can be optimized through tax planning action. One of tax planning that does not violate the law one of them is by tax avoidance. Tax planning can be applied if Good Corporate Governance is done by management. This research aims to examine the effect of tax avoidence on the stock price of manufacturing companies listed on the Indonesia Stock Exchange (IDX). The research aims to prove whether Corporate Governance and company size can moderate the effect of Tax Avoidance on the stock price of manufacturing companies listed on IDX. The research methodology used in this research is regression analysis that is linear regression analysis. The findings of this study that tax avoidence has an influence on stock prices. The management of the tax expense gets the attention of shareholders so as to raise the stock price.