Moussab/ORKG-training-evaluation-set huggingface dataset:
Research field: Science
Title: Schedule Design and Container Routing in Liner Shipping
Abstract: A liner shipping company seeks to provide liner services with shorter transit time compared with the benchmark of market-level transit time because of the ever-increasing competition. When the itineraries of its liner service routes are determined, the liner shipping company designs the schedules of the liner routes such that the wait time at transshipment ports is minimized. As a result of transshipment, multiple paths are available for delivering containers from the origin port to the destination port. Therefore, the medium-term (3 to 6 months) schedule design problem and the operational-level container-routing problem must be investigated simultaneously. The schedule design and container-routing problems were formulated by minimization of the sum of the total transshipment cost and penalty cost associated with longer transit time than the market-level transit time, minus the bonus for shorter transit time. The formulation is nonlinear, noncontinuous, and nonconvex. A genetic local search approach was developed to find good solutions to the problem. The proposed solution method was applied to optimize the Asia–Europe–Oceania liner shipping services of a global liner company.
Extracted statement — emarkable factor: bonus
Research field: Science
Title: Cost estimate for biosynfuel production via biosyncrude gasification
Abstract: Production of synthetic fuels from lignocellulose like wood or straw involves complex technology. There‐fore, a large BTL (biomass to liquid) plant for biosynfuel production is more economic than many small facilities. A reasonable BTL‐plant capacity is ≥1 Mt/a biosynfuel similar to the already existing commercial CTL and GTL (coal to liquid, gas to liquid) plants of SASOL and SHELL, corresponding to at least 10% of the capacity of a modern oil refinery. BTL‐plant cost estimates are therefore based on reported experience with CTL and GTL plants. Direct supply of large BTL plants with low bulk density biomass by trucks is limited by high transport costs and intolerable local traffic density. Biomass densification by liquefaction in a fast pyrolysis process generates a compact bioslurry or biopaste, also denoted as biosyncrude as produced by the bioliq® process. The densified biosyncrude intermediate can now be cheaply transported from many local facilities in silo wagons by electric rail over long distances to a large and more economic central biosynfuel plant. In addition to the capital expenditure (capex) for the large and complex central biosynfuel plant, a comparable investment effort is required for the construction of several dozen regional pyrolysis plants with simpler technology. Investment costs estimated for fast pyrolysis plants reported in the literature have been complemented by own studies for plants with ca. 100 MWth biomass input. The breakdown of BTL synfuel manufacturing costs of ca. 1 € /kg in central EU shows that about half of the costs are caused by the biofeedstock, including transport. This helps to generate new income for farmers. The other half is caused by technical costs, which are about proportional to the total capital investment (TCI) for the pyrolysis and biosynfuel production plants. Labor is a minor contribution in the relatively large facilities. © 2009 Society of Chemical Industry and John Wiley & Sons, Ltd
Extracted statement — Plant type: BtL
Research field: Science
Title: Bi-objective stochastic programming models for determining depot locations in disaster relief operations
Abstract: This paper presents two-stage bi-objective stochastic programming models for disaster relief operations. We consider a problem that occurs in the aftermath of a natural disaster: a transportation system for supplying disaster victims with relief goods must be established. We propose bi-objective optimization models with a monetary objective and humanitarian objective. Uncertainty in the accessibility of the road network is modeled by a discrete set of scenarios. The key features of our model are the determination of locations for intermediate depots and acquisition of vehicles. Several model variants are considered. First, the operating budget can be fixed at the first stage for all possible scenarios or determined for each scenario at the second stage. Second, the assignment of vehicles to a depot can be either fixed or free. Third, we compare a heterogeneous vehicle fleet to a homogeneous fleet. We study the impact of the variants on the solutions. The set of Pareto-optimal solutions is computed by applying the adaptive Epsilon-constraint method. We solve the deterministic equivalents of the two-stage stochastic programs using the MIP-solver CPLEX.
Extracted statement — Decisions First-stage: budget
Research field: Science
Title: CAMPUS EMERGENCY NOTIFICATION SYSTEMS:
AN EXAMINATION OF FACTORS AFFECTING
COMPLIANCE WITH ALERTS1
Abstract: The increasing number of campus-related emergency incidents, in combination with the requirements imposed by the Clery Act, have prompted college campuses to develop emergency notification systems to inform community members of extreme events that may affect them. Merely deploying emergency notification systems on college campuses, however, does not guarantee that these systems will be effective; student compliance plays a very important role in establishing such effectiveness. Immediate compliance with alerts, as opposed to delayed compliance or noncompliance, is a key factor in improving student safety on campuses. This paper investigates the critical antecedents that motivate students to comply immediately with messages from campus emergency notification systems. Drawing on Etzioni's compliance theory, a model is developed. Using a scenario-based survey method, the model is tested in five types of events--snowstorm, active shooter, building fire, health-related, and robbery--and with more than 800 college students from the Northern region of the United States. The results from this study suggest that subjective norm and information quality trust are, in general, the most important factors that promote immediate compliance. This research contributes to the literature on compliance, emergency notification systems, and emergency response policies.
Extracted statement — Focus Group: Campus
Research field: Science
Title: Factors impacting the intention to use emergency
notification services in campus emergencies: an empirical investigation
Abstract: Research problem: This study investigates the factors influencing students' intentions to use emergency notification services to receive news about campus emergencies through short-message systems (SMS) and social network sites (SNS). Research questions: (1) What are the critical factors that influence students' intention to use SMS to receive emergency notifications? (2) What are the critical factors that influence students' intention to use SNS to receive emergency notifications? Literature review: By adapting Media Richness theory and prior research on emergency notifications, we propose that perceived media richness, perceived trust in information, perceived risk, perceived benefit, and perceived social influence impact the intention to use SMS and SNS to receive emergency notifications. Methodology: We conducted a quantitative, survey-based study that tested our model in five different scenarios, using logistic regression to test the research hypotheses with 574 students of a large research university in the northeastern US. Results and discussion: Results suggest that students' intention to use SNS is impacted by media richness, perceived benefit, and social influence, while students' intention to use SMS is influenced by trust and perceived benefit. Implications to emergency managers suggest how to more effectively manage and market the service through both channels. The results also suggest using SNS as an additional means of providing emergency notifications at academic institutions.
Extracted statement — Focus Group: Campus
Research field: Science
Title: Document image segmentation and text area ordering
Abstract: A system for document image segmentation and ordering text areas is described and applied to both Japanese and English complex printed page layouts. There is no need to make any assumption about the shape of blocks, hence the segmentation technique can handle not only skewed images without skew-correction but also documents where column are not rectangular. In this technique, on the bottom-up strategy, the connected components are extracted from the reduced image, and classified according to their local information. The connected components are merged into lines, and lines are merged into areas. Extracted text areas are classified as body, caption, header, and footer. A tree graph of the layout of body texts is made, and we get the order of texts by preorder traversal on the graph. The authors introduce the influence range of each node, a procedure for the title part, and extraction of the white horizontal separator. Making it possible to get good results on various documents. The total system is fast and compact.<<ETX>>
Extracted statement — Logical Labels: caption
Research field: Science
Title: Fungicidal Activity of Artemisia herba alba Asso (Asteraceae)
Abstract: The antifungal activity of Artemisia herba alba was found to be associated with two major volatile compounds isolated from the fresh leaves of the plant. Carvone and piperitone were isolated and identified by GC/MS, GC/IR, and NMR spectroscopy. Antifungal activity was measured against Penicillium citrinum (ATCC 10499) and Mucora rouxii (ATCC 24905). The antifungal activity (IC50) of the purified compounds was estimated to be 5 μ g/ml, 2 μ g/ml against Penicillium citrinum and 7 μ g/ml, 1.5 μ g/ml against Mucora rouxii carvone and piperitone, respectively.
Extracted statement — Main components (P5%): Carvone
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: Cointegration
Research field: Science
Title: Causality between energy consumption and economic growth in India: an application of cointegration and error-correction modeling
Abstract: Applying the Johansen cointegration test, this study finds that energy consumption, economic growth, capital and labour are cointegrated. However, this study detects no causality from energy consumption to economic growth using Hsiao's version of the Granger causality method with the aid of cointegration and error correction modelling. Interestingly, it is discerned that causality runs from economic growth to energy consumption both in the short run and in the long run and causality flows from capital to economic growth in the short run.
Extracted statement — Methodology: Cointegration
Research field: Science
Title: A panel estimation of the relationship between trade liberalization, economic growth and CO2 emissions in BRICS countries
Abstract: In the last few years, several studies have found an inverted-U relationship between per capita income and environmental degradation. This relationship, known as the environmental Kuznets curve (EKC), suggests that environmental degradation increases in the early stages of growth, but it eventually decreases as income exceeds a threshold level. However, this paper investigation relationship between per capita CO2 emission, growth economics and trade liberalization based on econometric techniques of unit root test, co-integration and a panel data set during the period 1960-1996 for BRICS countries. Data properties were analyzed to determine their stationarity using the LLC , IPS , ADF and PP unit root tests which indicated that the series are I(1). We find a cointegration relationship between per capita CO2 emission, growth economics and trade liberalization by applying Kao panel cointegration test. The evidence indi cates that in the long-run trade liberalization has a positive significant impact on CO2 emissions and impact of trade liberalization on emissions growth depends on the level of income Our findings suggest that there is a quadratic relationship between relationship between real GDP and CO2 emissions for the region as a whole. The estimated long-run coefficients of real GDP and its square satisfy the EKC hypothesis in all of studied countries. Our estimation shows that the inflection point or optimal point real GDP per capita is about 5269.4 dollars. The results show that on average, sample countries are on the positive side of the inverted U curve. The turning points are very low in some cases and very high in other cases, hence providing poor evidence in support of the EKC hypothesis. Thus, our findings suggest that all BRICS countries need to sacrifice economic growth to decrease their emission levels
Extracted statement — Methodology: Cointegration
Research field: Science
Title: Fatal Clostridium difficile enteritis after total abdominal colectomy
Abstract: A 71-year-old man who had undergone an ileorectal anastomosis some years earlier, developed fulminant fatal Clostridium difficile pseudomembranous enteritis and proctitis after a prostatectomy. This case and three reports of C. difficile involvement of the small bowel in adults emphasize that the small intestine can be affected. No case like ours, of enteritis after colectomy from C. difficile, has hitherto been reported.
Extracted statement — Intestinal operation: Colectomy
Research field: Science
Title: Clostridium difficile small bowel enteritis occurring after total colectomy
Abstract: Clostridium difficile infection is usually associated with antibiotic therapy and is almost always limited to the colonic mucosa. Small bowel enteritis is rare: only 9 cases have been previously cited in the literature. This report describes a case of C. difficile small bowel enteritis that occurred in a patient after total colectomy and reviews the 9 previously reported cases of C. difficile enteritis.
Extracted statement — Intestinal operation: Colectomy
Research field: Science
Title: Mobile text alerts are an effective way of communicating emergency information to adolescents: Results from focus groups with 12- to 18-year-olds
Abstract: Mobile phone text messages can be used to disseminate information and advice to the public in disasters. We sought to identify factors influencing how adolescents would respond to receiving emergency text messages. Qualitative interviews were conducted with participants aged 12–18 years. Participants discussed scenarios relating to flooding and the discovery of an unexploded World War Two bomb and were shown example alerts that might be sent out in these circumstances. Intended compliance with the alerts was high. Participants noted that compliance would be more likely if: they were familiar with the system; the messages were sent by a trusted source; messages were reserved for serious incidents; multiple messages were sent; messages were kept short and formal.
Extracted statement — paper: Theory / Construct / Model: Compliance
Research field: Science
Title: Logical structure analysis of book document images using contents information
Abstract: Numerous studies have so far been carried out extensively for the analysis of document image structure, with particular emphasis placed on media conversion and layout analysis. For the conversion of a collection of books in a library into the form of hypertext documents, a logical structure extraction technology is indispensable, in addition to document layout analysis. The table of contents of a book generally involves very concise and faithful information to represent the logical structure of the entire book. That is to say, we can efficiently analyze the logical structure of a book by making full use of its contents pages. This paper proposes a new approach for document logical structure analysis to convert document images and contents information into an electronic document. First, the contents pages of a book are analyzed to acquire the overall document logical structure. Thereafter, we are able to use this information to acquire the logical structure of all the pages of the book by analyzing consecutive pages of a portion of the book. Test results demonstrate very high discrimination rates: up to 97.6% for the headline structure, 99.4% for the text structure, 97.8% for the page-number structure and almost 100% for the head-foot structure.
Extracted statement — Logical Labels: content
Research field: Science
Title: Estimating the Information Gap between Textual and Visual Representations
Abstract: Photos, drawings, figures, etc. supplement textual information in various kinds of media, for example, in web news or scientific publications. In this respect, the intended effect of an image can be quite different, e.g., providing additional information, focusing on certain details of surrounding text, or simply being a general illustration of a topic. As a consequence, the semantic correlation between information of different modalities can vary noticeably, too. Moreover, cross-modal interrelations are often hard to describe in a precise way. The variety of possible interrelations of textual and graphical information and the question, how they can be described and automatically estimated have not been addressed yet by previous work. In this paper, we present several contributions to close this gap. First, we introduce two measures to describe cross-modal interrelations: cross-modal mutual information (CMI) and semantic correlation (SC). Second, a novel approach relying on deep learning is suggested to estimate CMI and SC of textual and visual information. Third, three diverse datasets are leveraged to learn an appropriate deep neural network model for the demanding task. The system has been evaluated on a challenging test set and the experimental results demonstrate the feasibility of the approach.
Extracted statement — contains: Contribution
Research field: Science
Title: Crystal-Facet Effect of γ-Al2O3 on Supporting CrOx for Catalytic Semihydrogenation of Acetylene
Abstract: With the successful preparation of γ-alumina with high-energy external surfaces such as {111} facets, the crystal-facet effect of γ-Al2O3 on surface-loaded CrOx has been explored for semihydrogenation of acetylene. Our results indeed demonstrate that the harmonious interaction of CrOx with traditional γ-Al2O3, the external surfaces of which are typically low-energy{110} facets, has caused a highly efficient performance for semihydrogenation of acetylene over CrOx/(110)γ-Al2O3 catalyst, whereas the activity of the CrOx/(111)γ-Al2O3 catalyst for acetylene hydrogenation is suppressed dramatically due to the limited formation of active Cr species, restrained by the high-energy {111} facets of γ-Al2O3. Furthermore, the use of inexpensive CrOx as the active component for semihydrogenation of acetylene is an economically friendly alternative relative to commercial precious Pd catalysts. This work sheds light on a strategy for exploiting the crystal-facet effect of the supports to purposefully tailor the catalyti...
Extracted statement — catalysts: CrOx/(110)γ-Al2O3
Research field: Science
Title: Environmental Kuznets curve for CO2 in Canada
Abstract: The environmental Kuznets curve hypothesis is a theory by which the relationship between per capita GDP and per capita pollutant emissions has an inverted U shape. This implies that, past a certain point, economic growth may actually be profitable for environmental quality. Most studies on this subject are based on estimating fully parametric quadratic or cubic regression models. While this is not technhically wrong, such an approach somewhat lacks flexibility since it may fail to detect the true shape of the relationship if it happens not to be of the specified form. We use semiparametric and flexible nonlinear parametric modelling methods in an attempt to provide more robust inferences. We find little evidence in favour of the environmental Kuznets curve hypothesis. Our main results could be interpreted as indicating that the oil shock of the 1970s has had an important impact on progress towards less polluting technology and production.
Extracted statement — Power of income: Cubic
Research field: Science
Title: A panel data heterogeneous Bayesian estimation of environmental Kuznets curves for CO2emissions
Abstract: This article investigates the Environmental Kuznets Curves (EKC) for CO2 emissions in a panel of 109 countries during the period 1959 to 2001. The length of the series makes the application of a heterogeneous estimator suitable from an econometric point of view. The results, based on the hierarchical Bayes estimator, show that different EKC dynamics are associated with the different sub-samples of countries considered. On average, more industrialized countries show evidence of EKC in quadratic specifications, which nevertheless are probably evolving into an N-shape based on their cubic specification. Nevertheless, it is worth noting that the EU, and not the Umbrella Group led by US, has been driving currently observed EKC-like shapes. The latter is associated to monotonic income–CO2 dynamics. The EU shows a clear EKC shape. Evidence for less-developed countries consistently shows that CO2 emissions rise positively with income, though there are some signs of an EKC. Analyses of future performance, nevertheless, favour quadratic specifications, thus supporting EKC evidence for wealthier countries and non-EKC shapes for industrializing regions.
Extracted statement — Power of income: Cubic
Research field: Science
Title: GREENHOUSE GASES EMISSIONS AND ECONOMIC GROWTH – EVIDENCE SUBSTANTIATING THE PRESENCE OF ENVIRONMENTAL KUZNETS CURVE IN THE EU
Abstract: AbstractThe paper considers the relationship between greenhouse gas emissions (GHG) as the main variable of climate change and gross domestic product (GDP), using the environmental Kuznets curve (EKC) technique. At early stages of economic growth, EKC indicates the increase of pollution related to the growing use of resources. However, when a certain level of income per capita is reached, the trend reverses and at a higher stage of development, further economic growth leads to improvement of the environment. According to the researchers, this implies that the environmental impact indicator is an inverted U-shaped function of income per capita. In this paper, the cubic equation is used to empirically check the validity of the EKC relationship for European countries. The analysis is based on the survey of EU-27, Norway and Switzerland in the period of 1995–2010. The data is taken from the Eurostat database. To gain some insights into the environmental trends in each country, the article highlights the speci...
Extracted statement — Power of income: Cubic