Moussab/ORKG-training-evaluation-set huggingface dataset:
Research field: Science
Title: Prevalence of erosive tooth wear and associated risk factors in 2-7-year-old German kindergarten children
Abstract: OBJECTIVES The aims of this study were to (1) investigate prevalence and severity of erosive tooth wear among kindergarten children and (2) determine the relationship between dental erosion and dietary intake, oral hygiene behaviour, systemic diseases and salivary concentration of calcium and phosphate. MATERIALS AND METHODS A sample of 463 children (2-7 years old) from 21 kindergartens were examined under standardized conditions by a calibrated examiner. Dental erosion of primary and permanent teeth was recorded using a scoring system based on O'Sullivan Index [Eur J Paediatr Dent 2 (2000) 69]. Data on the rate and frequency of dietary intake, systemic diseases and oral hygiene behaviour were obtained from a questionnaire completed by the parents. Unstimulated saliva samples of 355 children were analysed for calcium and phosphate concentration by colorimetric assessment. Descriptive statistics and multiple regression analysis were applied to the data. RESULTS Prevalence of erosion amounted to 32% and increased with increasing age of the children. Dentine erosion affecting at least one tooth could be observed in 13.2% of the children. The most affected teeth were the primary maxillary first and second incisors (15.5-25%) followed by the canines (10.5-12%) and molars (1-5%). Erosions on primary mandibular teeth were as follows: incisors: 1.5-3%, canines: 5.5-6% and molars: 3.5-5%. Erosions of the primary first and second molars were mostly seen on the occlusal surfaces (75.9%) involving enamel or enamel-dentine but not the pulp. In primary first and second incisors and canines, erosive lesions were often located incisally (51.2%) or affected multiple surfaces (28.9%). None of the permanent incisors (n = 93) or first molars (n=139) showed signs of erosion. Dietary factors, oral hygiene behaviour, systemic diseases and salivary calcium and phosphate concentration were not associated with the presence of erosion. CONCLUSIONS Erosive tooth wear of primary teeth was frequently seen in primary dentition. As several children showed progressive erosion into dentine or exhibited severe erosion affecting many teeth, preventive and therapeutic measures are recommended.
Extracted statement — Aim of the study: Erosive tooth wear
Research field: Science
Title: Enterprise resource planning post-adoption value: a literature review amongst small and medium enterprises
Abstract: It is consensual that Enterprise Resource Planning (ERP) after a successful implementation has significant effects on the productivity of firm as well small and medium-sized enterprises (SMEs) recognized as fundamentally different environments compared to large enterprises. There are few reviews in the literature about the post-adoption phase and even fewer at SME level. Furthermore, to the best of our knowledge there is none with focus in ERP value stage. This review will fill this gap. It provides an updated bibliography of ERP publications published in the IS journal and conferences during the period of 2000 and 2012. A total of 33 articles from 21 journals and 12 conferences are reviewed. The main focus of this paper is to shed the light on the areas that lack sufficient research within the ERP in SME domain, in particular in ERP business value stage, suggest future research avenues, as well as, present the current research findings that could support researchers and practitioners when embarking on ERP projects.
Extracted statement — Foci: ERP value
Research field: Science
Title: An Exploratory Study of the Success Factors for Extranet Adoption in E-Supply Chain
Abstract: Extranet is an enabler/system that enriches the information service quality in e-supply chain. This paper uses factor analysis to determine four extranet success factors: system quality, information quality, service quality, and work performance quality. A critical analysis of areas that require improvement is also conducted.
Extracted statement — SCM field: e-Supply chain
Research field: Science
Title: Decomposition algorithms for the design of a nonsimultaneous capacitated evacuation tree network
Abstract: In this article, we examine the design of an evacuation tree, in which evacuation is subject to capacity restrictions on arcs. The cost of evacuating people in the network is determined by the sum of penalties incurred on arcs on which they travel, where penalties are determined according to a nondecreasing function of time. Given a discrete set of disaster scenarios affecting network population, arc capacities, transit times, and penalty functions, we seek to establish an optimal a priori evacuation tree that minimizes the expected evacuation penalty. The solution strategy is based on Benders decomposition, in which the master problem is a mixed‐integer program and each subproblem is a time‐expanded network flow problem. We provide efficient methods for obtaining primal and dual subproblem solutions, and analyze techniques for improving the strength of the master problem formulation, thus reducing the number of master problem solutions required for the algorithm's convergence. We provide computational results to compare the efficiency of our methods on a set of randomly generated test instances. © 2008 Wiley Periodicals, Inc. NETWORKS, 2009
Extracted statement — Decisions First-stage: Evacuation tree
Research field: Science
Title: Evaluating the critical success factors of supplier development: a case study
Abstract: Purpose – The purpose of this paper is to identify and evaluate the critical success factors (CSFs) responsible for supplier development (SD) in a manufacturing supply chain environment.Design/methodology/approach – In total, 13 CSFs for SD are identified (i.e. long‐term strategic goal; top management commitment; incentives; supplier's supplier condition; proximity to manufacturing base; supplier certification; innovation capability; information sharing; environmental readiness; external environment; project completion experience; supplier status and direct involvement) through extensive literature review and discussion held with managers/engineers in different Indian manufacturing companies. A fuzzy analytic hierarchy process (FAHP) is proposed and developed to evaluate the degree of impact of each CSF on SD.Findings – The degree of impact for each CSF on SD is established for an Indian company. The results are discussed in detail with managerial implications. The long‐term strategic goal is found to be ...
Extracted statement — Critical success factors: external environment
Research field: Science
Title: The Role of Social Media during Queensland Floods:
An Empirical Investigation on the Existence of Multiple Communities of Practice (MCoPs)
Abstract: The notion of communities getting together during a disaster to help each other is common. However, how does this communal activity happen within the online world? Here we examine this issue using the Communities of Practice (CoP) approach. We extend CoP to multiple CoP (MCoPs) and examine the role of social media applications in disaster management, extending work done by Ahmed (2011). Secondary data in the form of newspaper reports during 2010 to 2011 were analysed to understand how social media, particularly Facebook and Twitter, facilitated the process of communication among various communities during the Queensland floods in 2010. The results of media-content analysis along with the findings of relevant literature were used to extend our existing understanding on various communities of practice involved in disaster management, their communication tasks and the role of Twitter and Facebook as common conducive platforms of communication during disaster management alongside traditional communication channels.
Extracted statement — Technology: Facebook and Twitter
Research field: Science
Title: A study of supplier selection factors for high-tech industries in the supply chain
Abstract: Amid the intensive competition among global industries, the relationship between manufacturers and suppliers has turned from antagonist to cooperative. Through partnerships, both parties can be mutually benefited, and the key factor that maintains such relationship lies in how manufacturers select proper suppliers. The purpose of this study is to explore the key factors considered by manufacturers in supplier selection and the relationships between these factors. Through a literature review, eight supplier selection factors, comprising price response capability, quality management capability, technological capability, delivery capability, flexible capability, management capability, commercial image, and financial capability are derived. Based on the theoretic foundation proposed by previous researchers, a causal model of supplier selection factors is further constructed. The results of a survey on high-tech industries are used to verify the relationships between the eight factors using structural equation modelling (SEM). Based on the empirical results, conclusions and suggestions are finally proposed as a reference for manufacturers and suppliers.
Extracted statement — Critical success factors: financial capability
Research field: Science
Title: Strategic fleet size planning for maritime refrigerated containers
Abstract: In the present economic climate, it is often the case that profits can only be improved, or for that matter maintained, by improving efficiency and cutting costs. This is particularly notorious in the shipping business, where it has been seen that the competition is getting tougher among carriers, thus alliances and partnerships are resulting for cost effective services in recent years. In this scenario, effective planning methods are important not only for strategic but also operating tasks, covering their entire transportation systems. Container fleet size planning is an important part of the strategy of any shipping line. This paper addresses the problem of fleet size planning for refrigerated containers, to achieve cost-effective services in a competitive maritime shipping market. An analytical model is first discussed to determine the optimal size of an own dry container fleet. Then, this is extended for an own refrigerated container fleet, which is the case when an extremely unbalanced trade represents one of the major investment decisions to be taken by liner operators. Next, a simulation model is developed for fleet sizing in a more practical situation and, by using this, various scenarios are analysed to determine the most convenient composition of refrigerated fleet between own and leased containers for the transpacific cargo trade.
Extracted statement — problem: Fleet sizing
Research field: Science
Title: A study of supplier selection factors for high-tech industries in the supply chain
Abstract: Amid the intensive competition among global industries, the relationship between manufacturers and suppliers has turned from antagonist to cooperative. Through partnerships, both parties can be mutually benefited, and the key factor that maintains such relationship lies in how manufacturers select proper suppliers. The purpose of this study is to explore the key factors considered by manufacturers in supplier selection and the relationships between these factors. Through a literature review, eight supplier selection factors, comprising price response capability, quality management capability, technological capability, delivery capability, flexible capability, management capability, commercial image, and financial capability are derived. Based on the theoretic foundation proposed by previous researchers, a causal model of supplier selection factors is further constructed. The results of a survey on high-tech industries are used to verify the relationships between the eight factors using structural equation modelling (SEM). Based on the empirical results, conclusions and suggestions are finally proposed as a reference for manufacturers and suppliers.
Extracted statement — Critical success factors: flexible capability
Research field: Science
Title: An AGV routing policy reflecting the current and future state of semiconductor and LCD production lines
Abstract: This paper presents an efficient policy for AGV and part routing in semiconductor and LCD production bays using information on the future state of systems where AGVs play a central role in material handling. These highly informative systems maintain a great deal of information on current and near-future status, such as the arrival and operation completion times of parts, thereby enabling a new approach for production shop control. Efficient control of AGVs is vital in semiconductor and LCD plants because AGV systems often limit the total production capacity of these very expensive plants. With the proposed procedure, the cell controller records the future events chronologically and uses this information to determine the destination and source of parts between the parts' operation machine and temporary storage. It is shown by simulation that the new control policy reduces AGV requirements and flow time of parts.
Extracted statement — Objective function(s): Flow time
Research field: Science
Title: A Long-Term Model of the Glucose-Insulin Dynamics of Type 1 Diabetes
Abstract: A new glucose-insulin model is introduced which fits with the clinical data from in- and outpatients for two days. Its stability property is consistent with the glycemia behavior for type 1 diabetes. This is in contrast to traditional glucose-insulin models. Prior models fit with clinical data for a few hours only or display some nonnatural equilibria. The parameters of this new model are identifiable from standard clinical data as continuous glucose monitoring, insulin injection, and carbohydrate estimate. Moreover, it is shown that the parameters from the model allow the computation of the standard tools used in functional insulin therapy as the basal rate of insulin and the insulin sensitivity factor. This is a major outcome as they are required in therapeutic education of type 1 diabetic patients.
Extracted statement — Objective: For two days
Research field: Science
Title: Redesigning distribution operations: a case study on integrating inventory management and vehicle routes design
Abstract: This paper describes a real-world application concerning the distribution in Portugal of frozen products of a world-wide food and beverage company. Its focus is the development of a model to support negotiations between a logistics operator and retailers, establishing a common basis for a co-operative scheme in supply chain management. A periodic review policy is adopted and an optimisation procedure based on the heuristic proposed by Viswanathan and Mathur (Mgmnt Sci., 1997, 43, 294–312) is used to devise guidelines for inventory replenishment frequencies and for the design of routes to be used in the distribution process. This provides an integrated approach of the two logistics functions—inventory management and routing—with the objective of minimising long-term average costs, considering an infinite time horizon. A framework to estimate inventory levels, namely safety stocks, is also presented. The model provides full information concerning the expected performance of the proposed solution, which can be compared against the present situation, allowing each party to assess its benefits and drawbacks.
Extracted statement — Products: Frozen products
Research field: Science
Title: On-line soft sensor for polyethylene process with multiple production grades
Abstract: Abstract Since online measurement of the melt index (MI) of polyethylene is difficult, a virtual sensor model is desirable. However, a polyethylene process usually produces products with multiple grades. The relation between process and quality variables is highly nonlinear. Besides, a virtual sensor model in real plant process with many inputs has to deal with collinearity and time-varying issues. A new recursive algorithm, which models a multivariable, time-varying and nonlinear system, is presented. Principal component analysis (PCA) is used to eliminate the collinearity. Fuzzy c-means (FCM) and fuzzy Takagi–Sugeno (FTS) modeling are used to decompose the nonlinear system into several linear subsystems. Effectiveness of the model is demonstrated using real plant data from a polyethylene process.
Extracted statement — Types: Fuzzy c-means (FCM)
Research field: Science
Title: A genetic algorithm approach to the integrated inventory-distribution problem
Abstract: We introduce a new genetic algorithm (GA) approach for the integrated inventory distribution problem (IIDP). We present the developed genetic representation and use a randomized version of a previously developed construction heuristic to generate the initial random population. We design suitable crossover and mutation operators for the GA improvement phase. The comparison of results shows the significance of the designed GA over the construction heuristic and demonstrates the capability of reaching solutions within 20% of the optimum on sets of randomly generated test problems.
Extracted statement — approach: Genetic algorithm
Research field: Science
Title: Ship detection by salient convex boundaries
Abstract: Automatic ship detection from remote sensing imagery has many applications, such as maritime security, traffic surveillance, fisheries management. However, it is still a difficult task for noise and distractors. This paper is concerned with perceptual organization, which detect salient convex structures of ships from noisy images. Because the line segments of contour of ships compose a convex set, a local gradient analysis is adopted to filter out the edges which are not on the contour as preprocess. For convexity is the significant feature, we apply the salience as the prior probability to detect. Feature angle constraint helps us compute probability estimate and choose correct contour in many candidate closed line groups. Finally, the experimental results are demonstrated on the satellite imagery from Google earth.
Extracted statement — Satellite sensor: Google Earth
Research field: Science
Title: Fusing local texture description of saliency map and enhanced global statistics for ship scene detection
Abstract: In this paper, we introduce a new feature representation based on fusing local texture description of saliency map and enhanced global statistics for ship scene detection in very high-resolution remote sensing images in inland, coastal, and oceanic regions. First, two low computational complexity methods are adopted. Specifically, the Itti attention model is used to extract saliency map, from which local texture histograms are extracted by LBP with uniform pattern. Meanwhile, Gabor filters with multi-scale and multi-orientation are convolved with the input image to extract Gist, means and variances which are used to form the enhanced global statistics. Second, sliding window-based detection is applied to obtain local image patches and extract the fusion of local and global features. SVM with RBF kernel is then used for training and classification. Such detection manner could remove coastal and oceanic regions effectively. Moreover, the ship scene region of interest can be detected accurately. Experiments on 20 very high-resolution remote sensing images collected by Google Earth shows that the fusion feature has advantages than LBP, Saliency map-based LBP and Gist, respectively. Furthermore, desirable results can be obtained in the ship scene detection.
Extracted statement — Satellite sensor: Google Earth
Research field: Science
Title: A ship target automatic detection method for high-resolution remote sensing
Abstract: With the increasement of spatial resolution of remote sensing, the ship detection methods for low-resolution images are no longer suitable. In this study, a ship target automatic detection method for high-resolution remote sensing is proposed, which mainly contains steps of Otsu binary segmentation, morphological operation, calculation of target features and target judgment. The results show that almost all of the offshore ships can be detected, and the total detection rates are 94% and 91% with the experimental Google Earth data and GF-1 data respectively. The ship target automatic detection method proposed in this study is more suitable for detecting ship targets offshore rather than anchored along the dock.
Extracted statement — Satellite sensor: Google Earth
Research field: Science
Title: An investigation of cointegration and causality between energy consumption and economic growth
Abstract: This paper reexamines the causality between energy consumption and economic growth with both bivariate and multivariate models by applying the recently developed methods of cointegration and Hsiao`s version of the Granger causality to transformed U.S. data for the period 1947-1990. The Phillips-Perron (PP) tests reveal that the original series are not stationary and, therefore, a first differencing is performed to secure stationarity. The study finds no causal linkages between energy consumption and economic growth. Energy and gross national product (GNP) each live a life of its own. The results of this article are consistent with some of the past studies that find no relationship between energy and GNP but are contrary to some other studies that find GNP unidirectionally causes energy consumption. Both the bivariate and trivariate models produce the similar results. We also find that there is no causal relationship between energy consumption and industrial production. The United States is basically a service-oriented economy and changes in energy consumption can cause little or no changes in GNP. In other words, an implementation of energy conservation policy may not impair economic growth. 27 refs., 5 tabs.
Extracted statement — Methodology: Granger causality
Research field: Science
Title: Prioritizing Clinical Information System Project Risk Factors: A Delphi Study
Abstract: Identifying the risks associated with the implementation of clinical information systems (CIS) in health care organizations can be a major challenge for managers, clinicians, and IT specialists, as there are numerous ways in which they can be described and categorized. Risks vary in nature, severity, and consequence, so it is important that those considered to be high-level risks be identified, understood, and managed. This study addresses this issue by first reviewing the extant literature on IT/CIS project risks, and second conducting a Delphi survey among 21 experts highly involved in CIS projects in Canada. In addition to providing a comprehensive list of risk factors and their relative importance, this study is helpful in unifying the literature on IT implementation and health informatics. Our risk factor-oriented research actually confirmed many of the factors found to be important in both these streams.
Extracted statement — Application area studied: Health care