bluuebunny/crossref_metadata_2025 huggingface dataset:
Supervised Classification of RGB Aerial Imagery to Evaluate the Impact of a Root Rot Disease
Authors: Mattupalli Chakradhar , Moffet Corey A. , Shah Kushendra N. , Young Carolyn A.
Published: June 2018

Aerial imaging provides a landscape view of crop fields that can be utilized to monitor plant diseases. Phymatotrichopsis root rot (PRR) is a serious root rot disease affecting several dicotyledonous hosts, including the perennial forage crop alfalfa. PRR disease causes stand loss by spreading as circular to irregular diseased areas that increase over time, but disease progression in alfalfa fields is poorly understood. The objectives of this study were to develop a workflow to produce PRR disease maps from sets of high-resolution red, green and blue (RGB) images acquired from two different platforms and to assess the feasibility of using these PRR disease maps to monitor disease progression in alfalfa fields. Aerial RGB images, two from unmanned aircraft systems (UAS) and four images from a manned aircraft platform were acquired at different time points during the 2014–2015 growing seasons from a center-pivot irrigated, PRR-infested alfalfa field near Burneyville, OK. Supervised classification of images acquired from both platforms were performed using three spectral signatures: image-specific, UAS-platform-specific and manned-aircraft platform-specific. Our results showed that the UAS-platform-specific spectral signature was most efficient for classifying images acquired with the UAS, with accuracy ranging from 90 to 96%. In contrast, manned-aircraft-acquired images classified using image-specific spectral signatures yielded 95 to 100% accuracy. The effect of hue, saturation and value color space transformations (HSV and Hrot60SV) on classification accuracy was determined, but the accuracy estimates showed no improvement in their efficiency compared to the RGB color space. Finally, the data showed that the classification of the bare ground increased by 74% during the study period, indicating the extent of alfalfa stand loss caused by PRR disease. Thus, this study showed the utility of high-resolution RGB aerial images for monitoring PRR disease spread in alfalfa.
Monitoring the Agung (Indonesia) Ash Plume of November 2017 by Means of Infrared Himawari 8 Data
Authors: Marchese Francesco , Falconieri Alfredo , Pergola Nicola , Tramutoli Valerio
Published: June 2018

The Agung volcano (Bali; Indonesia) erupted in later November 2017 after several years of quiescence. Because of ash emissions, hundreds of flights were cancelled, causing an important air traffic disruption in Indonesia. We investigate those ash emissions from space by applying the RSTASH algorithm for the first time to Himawari-8 data and using an ad hoc implementation scheme to reduce the time of the elaboration processes. Himawari-8 is a new generation Japanese geostationary meteorological satellite, whose AHI (Advanced Himawari Imager) sensor offers improved features, in terms of spectral, spatial and temporal resolution, in comparison with the previous imagers of the MTSAT (Multi-Functional Transport Satellite) series. Those features should guarantee further improvements in monitoring rapidly evolving weather/environmental phenomena. Results of this work show that RSTASH was capable of successfully detecting and tracking the Agung ash plume, despite some limitations (e.g., underestimation of ash coverage under certain conditions; generation of residual artefacts). Moreover, estimates of ash cloud-top height indicate that the monitored plume extended up to an altitude of about 9.3 km above sea level during the period 25 November at 21:10 UTC–26 November at 00:50 UTC. The study demonstrates that RSTASH may give a useful contribution for the operational monitoring of ash clouds over East Asia and the Western Pacific region, well exploiting the 10 min temporal resolution and the spectral features of the Himawari-8 data.
Using Multiple Monthly Water Balance Models to Evaluate Gridded Precipitation Products over Peninsular Spain
Authors: Senent-Aparicio Javier , López-Ballesteros Adrián , Pérez-Sánchez Julio , Segura-Méndez Francisco José , Pulido-Velazquez David
Published: June 2018

The availability of precipitation data is the key driver in the application of hydrological models when simulating streamflow. Ground weather stations are regularly used to measure precipitation. However, spatial coverage is often limited in low-population areas and mountain areas. To overcome this limitation, gridded datasets from remote sensing have been widely used. This study evaluates four widely used global precipitation datasets (GPDs): The Tropical Rainfall Measuring Mission (TRMM) 3B43, the Climate Forecast System Reanalysis (CFSR), the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), and the Multi-Source Weighted-Ensemble Precipitation (MSWEP), against point gauge and gridded dataset observations using multiple monthly water balance models (MWBMs) in four different meso-scale basins that cover the main climatic zones of Peninsular Spain. The volumes of precipitation obtained from the GPDs tend to be smaller than those from the gauged data. Results underscore the superiority of the national gridded dataset, although the TRMM provides satisfactory results in simulating streamflow, reaching similar Nash-Sutcliffe values, between 0.70 and 0.95, and an average total volume error of 12% when using the GR2M model. The performance of GPDs highly depends on the climate, so that the more humid the watershed is, the better results can be achieved. The procedures used can be applied in regions with similar case studies to more accurately assess the resources within a system in which there is scarcity of recorded data available.
Fairness-Aware Resource Allocation in Multi-Hop Wireless Powered Communication Networks with User Cooperation
Authors: Lei Ming , Zhang Xingjun , Ding Han , Yu Bocheng
Published: June 2018

In wireless powered communication networks (WPCNs), the harvested energy varies greatly among user nodes (UNs), resulting in throughput unfairness. Since the harvested energy is limited, each UN must strategically allocate the energy used for forwarding the other nodes’ information and for transmitting its own information, which further aggravates the global unfairness in terms of throughput. In this paper, we leverage user cooperation in multi-hop transmission to improve the throughput fairness. We formulate the fairness problem as the max-min throughput with resource allocation, which is NP-hard. We design an approximate algorithm to address this problem. The theoretical proof and the simulation results both show that the proposed algorithm provides tight upper and lower bounds for the optimal solution. Compared with the benchmark methods, our proposed method significantly enhances the throughput fairness for WPCNs.
Design and Implementation of a Wireless Sensor and Actuator Network to Support the Intelligent Control of Efficient Energy Usage
Authors: Blanco Jesús , García Andrés , Morenas Javier de las
Published: June 2018

Energy saving has become a major concern for the developed society of our days. This paper presents a Wireless Sensor and Actuator Network (WSAN) designed to provide support to an automatic intelligent system, based on the Internet of Things (IoT), which enables a responsible consumption of energy. The proposed overall system performs an efficient energetic management of devices, machines and processes, optimizing their operation to achieve a reduction in their overall energy usage at any given time. For this purpose, relevant data is collected from intelligent sensors, which are in-stalled at the required locations, as well as from the energy market through the Internet. This information is analysed to provide knowledge about energy utilization, and to improve efficiency. The system takes autonomous decisions automatically, based on the available information and the specific requirements in each case. The proposed system has been implanted and tested in a food factory. Results show a great optimization of energy efficiency and a substantial improvement on energy and costs savings.
Advances in Photopletysmography Signal Analysis for Biomedical Applications
Authors: Moraes Jermana L. , Rocha Matheus X. , Vasconcelos Glauber G. , Vasconcelos Filho José E. , De Albuquerque Victor Hugo C. , Alexandria Auzuir R.
Published: June 2018

Heart Rate Variability (HRV) is an important tool for the analysis of a patient’s physiological conditions, as well a method aiding the diagnosis of cardiopathies. Photoplethysmography (PPG) is an optical technique applied in the monitoring of the HRV and its adoption has been growing significantly, compared to the most commonly used method in medicine, Electrocardiography (ECG). In this survey, definitions of these technique are presented, the different types of sensors used are explained, and the methods for the study and analysis of the PPG signal (linear and nonlinear methods) are described. Moreover, the progress, and the clinical and practical applicability of the PPG technique in the diagnosis of cardiovascular diseases are evaluated. In addition, the latest technologies utilized in the development of new tools for medical diagnosis are presented, such as Internet of Things, Internet of Health Things, genetic algorithms, artificial intelligence and biosensors which result in personalized advances in e-health and health care. After the study of these technologies, it can be noted that PPG associated with them is an important tool for the diagnosis of some diseases, due to its simplicity, its cost–benefit ratio, the easiness of signals acquisition, and especially because it is a non-invasive technique.
Experimental Demonstration of Low-Uncertainty Calibration Methods for Bragg Grating Interrogators
Authors: De Miguel José Luis , Galindo-Santos Juan , Pulido de Torres Concepción , Salgado Pedro , Velasco Aitor V. , Corredera Pedro
Published: June 2018

In this paper we propose and demonstrate two alternative methods for the high-precision calibration of fiber Bragg grating (FBG) interrogators. The first method is based on the direct comparison between the wavelength measurements of the interrogator under test and a calibrated wavemeter, while analyzing a simulated symmetric Bragg grating constructed by a tunable filter and a fiber mirror. This first method is applicable to most commercial systems but presents an uncertainty limited by the spectral width and the wavelength stability of the tunable filter. The second method consists in measuring multiple reference absorption lines of calibrated absorption gas cells. This second method presents lower uncertainties, limited only by the optical resolution of the interrogator and the wavelength uncertainty of the reference cell absorption lines. However, it imposes more restrictive requirements on the interrogator software. Both methods were experimentally demonstrated by calibrating multiple commercial systems, reaching uncertainties down to 0.63 pm at a central wavelength of 1550 nm.
An IBeacon-Based Location System for Smart Home Control
Authors: Liu Qinghe , Yang Xinshuang , Deng Lizhen
Published: June 2018

Indoor location and intelligent control system can bring convenience to people’s daily life. In this paper, an indoor control system is designed to achieve equipment remote control by using low-energy Bluetooth (BLE) beacon and Internet of Things (IoT) technology. The proposed system consists of five parts: web server, home gateway, smart terminal, smartphone app and BLE beacons. In the web server, fingerprint matching based on RSSI stochastic characteristic and posture recognition model based on geomagnetic sensing are used to establish a more efficient equipment control system, combined with Pedestrian Dead Reckoning (PDR) technology to improve the accuracy of location. A personalized menu of remote “one-click” control is finally offered to users in a smartphone app. This smart home control system has been implemented by hardware, and precision and stability tests have been conducted, which proved the practicability and good user experience of this solution.
A Robust Method for Detecting Parking Areas in Both Indoor and Outdoor Environments
Authors: Zong Wenhao , Chen Qijun
Published: June 2018

Although an automatic parking system has been installed in many vehicles recently, it is still hard for the system to confirm by itself whether a vacant parking area truly exists or not. In this paper, we introduced a robust vision-based vacancy parking area detecting method for both indoor and outdoor environments. The main contribution of this paper is given as follows. First, an automatic image stitching method is proposed. Secondly, the problem of environment illuminating change and line color difference is considered and solved. Thirdly, the proposed algorithm is insensitive to the shadow and scene diversity, which means the detecting result satisfies most of the environment. Finally, a vehicle model is considered for tracking and reconfirming the detecting results to eliminate most of the false positives.
Why Do Workers Take Safety Risks?—A Conceptual Model for the Motivation Underpinning Perverse Agency
Authors: Ji Zuzhen , Pons Dirk , Pearse John
Published: June 2018

Exposure to chronic harm is difficult to manage and prevent in industry. There is a need to better understand the state of mind when workers disregard safety processes and expose themselves to this type of risk. This paper develops a theoretical model of the reason why workers voluntarily expose themselves to occupational health and safety (OHS) hazards. This Risk, Agency, and Safety & Health (RASH) model proposes that people willingly expose themselves to chronic injuries via a series of risk-taking processes. This causal chain starts with personal motivation and over-alignment with organisational purpose (including impression management). Ideally, that motivation would be moderated by an ability to predict future harm consequences from the task at hand, but that mechanism is weak because it is difficult to predict cause and effect, the consequences are too far in the future, and the opportunities for vicarious learning are few. The motivation then causes misdirected creativity, hence the development of personally novel ways of solving the problem, albeit with greater risk of harm. Perverse agency then sustains actions that exposure the person to harm. Original contributions are the provision of a detailed explanation for risk-taking, and the integration of multiple well-established psychological constructs.
Non-Destructive X-ray Spectrometric and Chromatographic Analysis of Metal Containers and Their Contents, from Ancient Macedonia
Authors: Katsifas Christos S. , Ignatiadou Despina , Zacharopoulou Anastasia , Kantiranis Nikolaos , Karapanagiotis Ioannis , Zachariadis George A.
Published: June 2018

This work describes a holistic archaeometric approach to ancient Macedonian specimens. In the region of the ancient city Lete, the deceased members of a rich and important family were interred in a cluster of seven tombs (4th century BC). Among the numerous grave goods, there was also a set of metal containers preserving their original content. The physico-chemical analysis of the containers and their contents was performed in order to understand the purpose of their use. For the containers, Energy Dispersive micro-X-Ray Fluorescence (EDμXRF) spectroscopy was implemented taking advantage of its non-invasive character. The case (B35) and the small pyxis (B37) were made of a binary Cu-Sn alloy accompanied by a slight amount of impurities (Fe, Pb, As) and the two miniature bowls were made of almost pure Cu. For the study of the contents, a combination of EDμXRF, X-Ray Diffraction (XRD), and Gas Chromatography—Mass Spectrometry (GC-MS) was carried out. Especially for the extraction of the volatile compounds, the Solid Phase Micro-Extraction (SPME) technique was used in the headspace mode. Because of the detection of Br, High Pressure Liquid Chromatography coupled to a Diode-Array-Detector (HPLC-DAD) was implemented, confirming the existence of the ancient dye shellfish purple (porphyra in Greek). The analytical results of the combined implementation of spectrometric and chromatographic analytical techniques of the metal containers and their contents expand our knowledge about the pharmaceutical practices in Macedonia during the 4th century BC.
Variation in the Molecular Structure and Radiocarbon Abundance of Mineral-Associated Organic Matter across a Lithosequence of Forest Soils
Authors: Heckman Katherine , Throckmorton Heather , Horwath William R. , Swanston Christopher W. , Rasmussen Craig
Published: June 2018

Soil mineral assemblage influences the abundance and mean residence time of soil organic matter both directly, through sorption reactions, and indirectly, through influences on microbial communities. Though organo-mineral interactions are at the heart of soil organic matter cycling, current models mostly lack parameters describing specific mineral assemblages or phases, and treat the mineral-bound pool as a single homogenous entity with a uniform response to changes in climatic conditions. We used pyrolysis GC/MS in combination with stable isotopes and radiocarbon abundance to examine mineral-bound soil organic matter fractions from a lithosequence of forest soils. Results suggest that different mineral assemblages tend to be associated with soil organics of specific molecular composition, and that these unique suites of organo-mineral complexes differ in mean residence time. We propose that mineralogy influences the composition of the mineral-bound soil organic matter pool through the direct influence of mineral surface chemistry on organo-mineral bond type and strength in combination with the indirect influence of soil acidity on microbial community composition. The composition of the mineral-bound pool of soil organic matter is therefore partially dictated by a combination of compound availability and sorption affinity, with compound availability controlled in part by microbial community composition. Furthermore, results are suggestive of a preferential sorption of N-containing moieties in Fe-rich soils. These bonds appear to be highly stable and confer extended mean residence times.
The Effects of Perceived Barriers on Innovation Resistance of Hydrogen-Electric Motorcycles
Authors: Chen Han-Shen , Tsai Bi-Kun , Hsieh Chi-Ming
Published: June 2018

As environmental awareness among the public gradually improves, it is predicted that the trend of green consumption will make green products enter the mainstream market. Hydrogen-electric motorcycles, with eco-friendly and energy-efficient characteristics, have great advantages for development. However, as a type of innovative product, hydrogen-electric motorcycles require further examination with regard to consumer acceptance and external variables of the products. In this study, consumer behavioral intention (BI) for the use of hydrogen-electric motorcycles and its influencing factors are discussed, using innovation resistance as the basis and environmental concern as the adjusting variable. Consumers’ willingness-to-pay (WTP) for hydrogen-electric motorcycles is estimated using the contingent valuation method (CVM). The results found that (1) perception barriers, viz., usage barrier, value barrier, risk barrier, tradition barrier, and price barrier are statistically significant, whereas image barrier is not; (2) a high degree of environmental concern will reduce the consumers’ innovation resistance to the hydrogen-electric motorcycles; (3) up to 94.79% of the respondents of the designed questionnaire suggested that the promotion of hydrogen-electric motorcycles requires a subsidy of 21.9% of the total price from the government. The mean WTP of consumers for the purchase of hydrogen-electric motorcycles is 10–15% higher than that of traditional motorcycles.
A Method for Monitoring Iron and Steel Factory Economic Activity Based on Satellites
Authors: Zhou Yi , Zhao Fei , Wang Shixin , Liu Wenliang , Wang Litao
Published: June 2018

The Chinese government has promulgated a de-capacity policy for economic growth and environmental sustainability, especially for the iron and steel industry. With these policies, this study aimed to monitor the economic activities and evaluate the production conditions of an iron and steel factory based on satellites via Landsat-8 Thermal Infrared Sensor (TIRS) data and high-resolution images from January 2013 to October 2017, and propel next economic adjustment and environmental protection. Our methods included the construction of a heat island intensity index for an iron and steel factory (ISHII), a heat island radio index for an iron and steel factory (ISHRI) and a dense classifying approach to monitor the spatiotemporal changes of the internal heat field of an iron and steel factory. Additionally, we used GF-2 and Google Earth images to identify the main production area, detect facility changes to a factory that alters its heat field and verify the accuracy of thermal analysis in a specific time span. Finally, these methods were used together to evaluate economic activity. Based on five iron and steel factories in the Beijing-Tianjin-Hebei region, when the ISHII curve is higher than the seasonal changes in a time series, production is normal; otherwise, there is a shut-down or cut-back. In the spatial pattern analyses, the ISHRI is large in normal production and decreases when cut-back or shut-down occurs. The density classifying images and high-resolution images give powerful evidence to the above-mentioned results. Finally, three types of economic activities of normal production, shut-down or cut-back were monitored for these samples. The study provides a new perspective and method for monitoring the economic activity of an iron and steel factory and provides supports for sustainable development in China.
The Role of Urban Agriculture as a Nature-Based Solution: A Review for Developing a Systemic Assessment Framework
Authors: Artmann Martina , Sartison Katharina
Published: June 2018

Urbanization and achieving sustainable agriculture are both major societal challenges. By reducing food miles and connecting people with nature, food cultivation in cities has several major advantages. However, due to further urban development (peri-) urban agriculture (UPA) is under threat. To strengthen UPA, we argue for considering UPA as a nature-based solution (NbS) supporting systemic approaches for societal challenges. However, academic knowledge on UPA’s contribution to various societal challenges of urbanization is still fragmented. This study addresses the gap by conducting a systemic literature review, incorporating 166 academic articles focusing on the global north. The results of the review show that UPA contributes to ten key societal challenges of urbanization: climate change, food security, biodiversity and ecosystem services, agricultural intensification, resource efficiency, urban renewal and regeneration, land management, public health, social cohesion, and economic growth. The value of UPA is its multifunctionality in providing social, economic and environmental co-benefits and ecosystem services. When implementing UPA, social, institutional, economic, technical, geographical, and ecological drivers and constraints need to be considered. To upscale UPA successfully, the study develops an integrative assessment framework for evaluating the implementation and impact efficiency of UPA. This framework should be tested based on the example of edible cities.
An Improvement of Gain-Loss Price Bounds on Options Based on Binomial Tree and Market-Implied Risk-Neutral Distribution
Authors: Jiang Shi-jie , Lei Mujun , Chung Cheng-Huang
Published: June 2018

This paper investigates the approximated arbitrage bounds of option prices in an incomplete market setting and draws implications for option pricing and risk management. It gives consideration to periods of global financial crisis and European sovereign debt crisis. To this end, we employ the gain-loss ratio method combined with the market-implied risk-neutral distribution calculated by binomial tree to investigate the options price bounds. Our implied gain-loss bounds of option prices are preference-free and parametric-free to avoid the misspecification error of subjective choice on the benchmark model of gain-loss ratio, and consequently, greatly reduce model risk and market risk. The empirical results show that there are option prices breaking the gain-loss bounds, even after taking into account the market information. This means that a good risk management technique and good-deal investment opportunities exist if the implied binomial tree is used as a benchmark model in the gain-loss bounds.
A Thought Experiment on Sustainable Management of the Earth System
Authors: Heitzig Jobst , Barfuss Wolfram , Donges Jonathan F.
Published: June 2018

We introduce and analyze a simple formal thought experiment designed to reflect a qualitative decision dilemma humanity might currently face in view of anthropogenic climate change. In this exercise, each generation can choose between two options, either setting humanity on a pathway to certain high wellbeing after one generation of suffering, or leaving the next generation in the same state as the current one with the same options, but facing a continuous risk of permanent collapse. We analyze this abstract setup regarding the question of what the right choice would be both in a rationality-based framework including optimal control, welfare economics, and game theory, and by means of other approaches based on the notions of responsibility, safe operating spaces, and sustainability paradigms. Across these different approaches, we confirm the intuition that a focus on the long-term future makes the first option more attractive while a focus on equality across generations favors the second. Despite this, we generally find a large diversity and disagreement of assessments both between and within these different approaches, suggesting a strong dependence on the choice of the normative framework used. This implies that policy measures selected to achieve targets such as the United Nations Sustainable Development Goals can depend strongly on the normative framework applied and specific care needs to be taken with regard to the choice of such frameworks.
Performance Evaluation of Public-Private Partnership Projects from the Perspective of Efficiency, Economic, Effectiveness, and Equity: A Study of Residential Renovation Projects in China
Authors: Cong Xuhui , Ma Li
Published: June 2018

The performance evaluation index system was established on the basis of 4E (Efficiency, Economic, Effectiveness, Equity) theory to improve performance evaluation of Public-Private Partnership Projects for Residential Renovation (4P2R). Moreover, the index weighting model was demonstrated based on Ordered Weighted Averaging (OWA). Finally, the cloud model was used for performance evaluation, through the cloud uncertainty reasoning to determine the quantitative performance evaluation index value, the positive reverse cloud to calculate the qualitative performance evaluation index value, and the normal cloud to measure the project performance. The proof-of-concept application shows that the performance evaluation index system and evaluation model can better identify the deficiencies in the project, and provide targeted improvement measures for similar projects in the future.
Transformations for Resilient Rural Futures: The Case of Kaikōura, Aotearoa-New Zealand
Authors: Cradock-Henry Nicholas A , Fountain Joanna , Buelow Franca
Published: June 2018

On 14 November 2016, a magnitude (Mw) 7.8 earthquake struck the small coastal settlement of Kaikōura, Aotearoa-New Zealand. With an economy based on tourism, agriculture, and fishing, Kaikōura was immediately faced with significant logistical, economic, and social challenges caused by damage to critical infrastructure and lifelines, essential to its main industries. Massive landslips cut off road and rail access, stranding hundreds of tourists, and halting the collection, processing and distribution of agricultural products. At the coast, the seabed rose two metres, limiting harbour-access to high tide, with implications for whale watching tours and commercial fisheries. Throughout the region there was significant damage to homes, businesses, and farmland, leaving owners and residents facing an uncertain future. This paper uses qualitative case study analysis to explore post-quake transformations in a rural context. The aim is to gain insight into the distinctive dynamics of disaster response mechanisms, focusing on two initiatives that have emerged in direct response to the disaster. The first examines the ways in which agriculture, food harvesting, production and distribution are being reimagined with the potential to enhance regional food security. The second examines the rescaling of power in decision-making processes following the disaster, specifically examining the ways in which rural actors are leveraging networks to meet their needs and the consequences of that repositioning on rural (and national) governance arrangements. In these and other ways, the local economy is being revitalised, and regional resilience enhanced through diversification, capitalising not on the disaster but the region’s natural, social, and cultural capital. Drawing on insights and experience of local stakeholders, policy- and decision-makers, and community representatives we highlight the diverse ways in which these endeavours are an attempt to create something new, revealing also the barriers which needed to be overcome to reshape local livelihoods. Results reveal that the process of transformation as part of rural recovery must be grounded in the lived reality of local residents and their understanding of place, incorporating and building on regional social, environmental, and economic characteristics. In this, the need to respond rapidly to realise opportunities must be balanced with the community-centric approach, with greater recognition given to the contested nature of the decisions to be made. Insights from the case examples can inform preparedness and recovery planning elsewhere, and provide a rich, real-time example of the ways in which disasters can create opportunities for reimagining resilient futures.
Using a Hybrid Model on Joint Scheduling of Berths and Quay Cranes—From a Sustainable Perspective
Authors: Liu Aijun , Liu Haiyang , Tsai Sang-Bing , Lu Hui , Zhang Xiao , Wang Jiangtao
Published: June 2018

In response to the problem of the unfair distribution of berths and quay cranes, as well as the optimization of the traffic path in port scheduling, a berth-crane joint scheduling model is proposed. Firstly, a ship is coded according to its geographical location and its arrival time in the form 0, 1. Then, the shortest port time, the minimum system cost, and the minimum unfairness are taken into account with the status quo of the port. Thus, a multi-objective joint scheduling model is established and solved by an improved NSGA-II algorithm. Finally, a practical example is given to verify the validity of the proposed method, the stable and the convergent of the proposed method are proved by many times computer simulations. The novelty of this paper is that we have taken psychological factors of fairness as well as social factors of sustainable development into consideration, and proposed an improved NSGA-II algorithm with random repair operator and self-adaptive operator to solve the multi-objective decision problem on joint scheduling of berths and quay crane.
Works in Favor of Extraction: Labor in Land-Use Competition
Authors: Schaffartzik Anke
Published: June 2018

Despite their negative social and environmental consequences, claims to land for resource extraction are dominantly asserted under conditions of land-use competition. The ‘success’ of the extractive expansion relies on very specific labor arrangements. Through dispossession and unfulfilled promises of long-term employment, an overabundance of labor (or employment gap) is generated at extractive sites. Poverty is exploited in order to sustain business as usual: environmental degradation, low average wages and high wage inequality, and abysmal working conditions. In resolving global land-use competition for sustainability transformations, it is necessary to address labor arrangements as a mechanism through which the claim to land for resource extraction is asserted.
Enumeration of Strongly Regular Graphs on up to 50 Vertices Having S3 as an Automorphism Group
Authors: Maksimović Marija
Published: June 2018

One of the main problems in the theory of strongly regular graphs (SRGs) is constructing and classifying SRGs with given parameters. Strongly regular graphs with parameters (37,18,8,9), (41,20,9,10), (45,22,10,11), (49,24,11,12), (49,18,7,6) and (50,21,8,9) are the only strongly regular graphs on up to 50 vertices that still have to be classified. In this paper, we give the enumeration of SRGs with these parameters having S3 as an automorphism group. The construction of SRGs in this paper is a step in the classification of SRGs on up to 50 vertices.
Maturity Models for Systems Thinking
Authors: Buckle Pamela
Published: June 2018

Recent decades have seen a rapid increase in the complexity of goods, products, and services that society has come to demand. This has necessitated a corresponding growth in the requirements demanded of organizational systems and the people who work in them. The competence a person requires to be effective in working in such systems has become an area of increased interest to scholars and practitioners in many disciplines. How can we assess the degree to which a person is executing the competencies required to do good systems work? Several industries now utilize maturity models in the attempt to evaluate and cultivate people’s ability to effectively execute complex tasks. This paper will examine current thought regarding the value and pitfalls of maturity models. It will identify principles and exemplars that could guide the development of a Maturity Model of Systems Thinking Competence (MMSTC) for the varied roles people inhabit in systems contexts.
The Decoherence and Interference of Cosmological Arrows of Time for a de Sitter Universe with Quantum Fluctuations
Authors: Rotondo Marcello , Nambu Yasusada
Published: June 2018

We consider the superposition of two semiclassical solutions of the Wheeler–DeWitt equation for a de Sitter universe, describing a quantized scalar vacuum propagating in a universe that is contracting in one case and expanding in the other, each identifying the opposite cosmological arrow of time. We discuss the suppression of the interference terms between the two arrows of time due to environment-induced decoherence caused by modes of the scalar vacuum crossing the Hubble horizon. Furthermore, we quantify the effect of the interference on the expectation value of the observable field mode correlations, with respect to an observer that we identify with the spatial geometry.
Comparing Item Performance on Three- Versus Four-Option Multiple Choice Questions in a Veterinary Toxicology Course
Authors: Royal Kenneth , Dorman David
Published: June 2018

Background: The number of answer options is an important element of multiple-choice questions (MCQs). Many MCQs contain four or more options despite the limited literature suggesting that there is little to no benefit beyond three options. The purpose of this study was to evaluate item performance on 3-option versus 4-option MCQs used in a core curriculum course in veterinary toxicology at a large veterinary medical school in the United States. Methods: A quasi-experimental, crossover design was used in which students in each class were randomly assigned to take one of two versions (A or B) of two major exams. Results: Both the 3-option and 4-option MCQs resulted in similar psychometric properties. Conclusion: The findings of our study support earlier research in other medical disciplines and settings that likewise concluded there was no significant change in the psychometric properties of three option MCQs when compared to the traditional MCQs with four or more options.
Using Copulas to Evaluate Rationality of Rainfall Spatial Distribution in a Design Storm
Authors: Wang Leizhi , Hu Qingfang , Wang Yintang , Zhu Zhenduo , Li Lingjie , Liu Yong , Cui Tingting
Published: June 2018

In the absence of long-series streamflow records in plain areas, design storm, which serves as the most important input in a hydrologic model, plays an important role in flood control and water resources management. For a large drainage basin, design storm may be estimated for sub-basins separately; thus the spatial distribution of design storm needs to be carefully treated. However, few studies have been carried out to evaluate the rationality of the spatial distribution in a design storm, which means the storm over space should be in accordance with actual needs or its distributing patterns. Taking the Tai Lake Basin (TLB), 3-d Copula-based models combining extreme rainfall of different sub-basins were built using long-term rainfall data, and conditional probabilities of sub-basins encountering certain amounts of rainfall were investigated to evaluate the rationality of the design storm. Results show that the spatial distribution of the design storm based on a typical year is hardly rational, in which rainfall of the northeastern part of the basin is suggested to be weakened while in the southwest to be strengthened; after the rainfall is redistributed based on long-term information, it shows a better rationality of spatial distribution. Such information provides valuable significance in guiding flood control of TLB, and the considered evaluating method can be used for similar basins in plain areas.
TESTING THE POSITIONAL ACCURACY OF OPENSTREETMAP DATA FOR MAPPING APPLICATIONS
Authors: El-Ashmawy Khalid l. A.
Published: June 2018

OpenStreetMap, a web mapping platform, is the most popular web map source for use in locationbased services with specific emphasis on pedestrian navigation, tourist guide applications, and other location-based search applications. This paper tests the positional accuracy of OpenStreetMap for the mapping applications using the case study in the campus of UMM El-Qura University, Makah, Saudi Arabia. The proposed testing method consists of statistical comparative approach using OpenStreetMap data and accurate land surveying reference data. The results show that OpenStreetMap data has positional accuracy of 1.57 m which is suitable for generating planimetric maps of scale 1:5000 or smaller. The obtained results open the door for using the OpenStreetMap maps for applications such as general preliminary planning where larger areas are covered but only moderate accuracy is needed. Applications include mapping the general layout of potential construction sites, proposed transportation systems, and existing facilities. The proposed methodology in this paper is of great interest to small engineering firms for the generation of local area maps from OpenStreetMap data.
Evidence for an Optical Low-frequency Quasi-periodic Oscillation in the Kepler Light Curve of an Active Galaxy
Authors: Smith Krista Lynne , Mushotzky Richard F. , Boyd Patricia T. , Wagoner Robert V.
Published: June 2018

We report evidence for a quasi-periodic oscillation (QPO) in the optical light curve of KIC 9650712, a narrow-line Seyfert 1 galaxy in the original Kepler field. After the development and application of a pipeline for Kepler data specific to active galactic nuclei (AGNs), one of our sample of 21 AGNs selected by infrared photometry and X-ray flux demonstrates a peak in the power spectrum at log ν = −6.58 Hz, corresponding to a temporal period of t = 44 days. We note that although the power spectrum is well fit by a model consisting of a Lorentzian and a single power law, alternative continuum models cannot be ruled out. From optical spectroscopy, we measure the black hole mass of this AGN as log (M
BH/M
⊙) = 8.17. We find that this frequency lies along a correlation between low-frequency QPOs and black hole mass from stellar and intermediate mass black holes to AGNs, similar to the known correlation in high-frequency QPOs.
NICER Detects a Soft X-Ray Kilohertz Quasi-periodic Oscillation in 4U 0614+09
Authors: Bult Peter , Altamirano Diego , Arzoumanian Zaven , Cackett Edward M. , Chakrabarty Deepto , Doty John , Enoto Teruaki , Gendreau Keith C. , Guillot Sebastien , Homan Jeroen , Jaisawal Gaurava K. , Lamb Frederick K. , Ludlam Renee M. , Mahmoodifar Simin , Markwardt Craig , Okajima Takashi , Price Sam , Strohmayer Tod E. , Winternitz Luke
Published: June 2018

We report on the detection of a kilohertz quasi-periodic oscillation (QPO) with the Neutron Star Interior Composition Explorer (NICER). Analyzing approximately 165 ks of NICER exposure on the X-ray burster 4U 0614+09, we detect multiple instances of a single-peak upper kHz QPO, with centroid frequencies that range from 400 to 750 Hz. We resolve the kHz QPO as a function of energy, and measure, for the first time, the QPO amplitude below 2 keV. We find the fractional amplitude at 1 keV is on the order of 2% rms, and discuss the implications for the QPO emission process in the context of Comptonization models.
EUV Waves Driven by the Sudden Expansion of Transequatorial Loops Caused by Coronal Jets
Authors: Shen Yuandeng , Tang Zehao , Miao Yuhu , Su Jiangtao , Liu Yu
Published: June 2018

We present two events to study the driving mechanism of extreme-ultraviolet (EUV) waves that are not associated with coronal mass ejections (CMEs), by using high-resolution observations taken by the Atmospheric Imaging Assembly on board the Solar Dynamics Observatory. Observational results indicate that the observed EUV waves were accompanied by flares and coronal jets, but not the CMEs that were regarded as drivers of most EUV waves in previous studies. In the first case, it is observed that a coronal jet is ejected along a transequatorial loop system at a plane-of-the-sky (POS) speed of 335 ± 22 km s

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1

; in the meantime, an arc-shaped EUV wave appeared on the eastern side of the loop system. In addition, the EUV wave further interacted with another interconnecting loop system and launched a fast propagating (QFP) magnetosonic wave along the loop system, which had a period of 200 s and a speed of 388 ± 65 km s

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1

, respectively. In the second case, we observed a coronal jet that ejected at a POS speed of 282 ± 44 km s

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1

along a transequatorial loop system as well as the generation of bright EUV waves on the eastern side of the loop system. Based on the observational results, we propose that the observed EUV waves on the eastern side of the transequatorial loop systems are fast-mode magnetosonic waves and that they are driven by the sudden lateral expansion of the transequatorial loop systems due to the direct impingement of the associated coronal jets, while the QFP wave in the fist case formed due to the dispersive evolution of the disturbance caused by the interaction between the EUV wave and the interconnecting coronal loops. It is noted that EUV waves driven by sudden loop expansions have shorter lifetimes than those driven by CMEs.
Influence of the Type and Amount of Liver Resection on the Survival of the Patients with Colorectal Metastases
Authors: Petrovski Stefan , Karakolevska-Ilova Marija , Simeonovska-Joveva Elena , Serafimov Aleksandar , Adzi-Andov Ljubica , Dimitrova Violeta
Published: June 2018

INTRODUCTION: Colorectal liver metastases have a poor prognosis, and only 2% have an average 5-year survival if left untreated. Despite radical resection, the average five-year survival is between 25% and 44%.AIM: To explore the experience of the Clinic in the treatment of colorectal liver metastases, comparing it with data from the literature and based on the comparison to determine the influence of the type and extensity of resection survival after radical surgical treatment of patients.METHODS: This is a retrospective study. The study comprised the period between 01.01.2006 to 31.12.2015. It included a total of 239 cases, of whom: 179 patients underwent radical interventions, 5 palliative and 55 patients underwent explorative interventions due to liver metastases.RESULTS: Radical resection of liver metastases has the impact of the patient survival, and the survival is the smallest in the patients with left hemihepatectomy and the longest in the patients with bisegmentectomy. But no specific technique and the number of resected segments influenced the survival of patients with colorectal liver metastases.CONCLUSION: In patients with colorectal liver metastases only resection has potentially curative character. The type and amount of liver resection has no influence of the survival.
Colonic Stem Cells Expression of Lgr5 and CD133 Proteins as Predictive Markers in Colorectal Cancer among Egyptian Patients
Authors: Rosiq Saed , Hammam Olfat , Abdelalim Ahmed , Anas Amgad , Khalil Heba , Amer Mosbah
Published: June 2018

AIM: Colorectal cancer is the fourth common tumour in Egypt after lymphoid, breast and urinary tumours. The study aims to assess the expression of Lgr5 and CD133 in pre-malignant (adenomatous polyps and IBD), malignant colorectal lesions and normal colonic mucosa by immunohistochemical staining.MATERIAL AND METHODS: This prospective study was done on 100 patients presenting with colonic symptoms, patients were divided into four groups; group I including 20 patients in the control group, group II including 20 ulcerative colitis (U.C) patients, group III including 20 patients with adenomatous polyps and group IV including 40 patients with colorectal cancer (CRC).RESULTS: Lgr5 and CD133 expression was significantly higher in carcinoma than in adenomas, IBD and normal mucosa (P < 0.001). Lrg5 and CD133 was positively correlated with histological grade (P = 0.001), depth of invasion (P = 0.001), lymph node metastasis (P < 0.001), distant metastasis (P < 0.004) and TNM stage (P < 0.001).CONCLUSION: Role of Lgr5 and CD133 as stem cell marker was expressed and presented with different expression in the normal colonic mucosa, adenoma and CRC and showed increased expression in an advanced stage of CRC. This may suggest its possible involvement in colorectal tumorigenesis and invasion.
Comparative Study Clarifying the Most Suitable Material to Be Used as Partial Denture Clasps
Authors: Sadek Sherif Aly , Dehis Wessam Mohamed , Hassan Hala
Published: June 2018

BACKGROUND: Removable partial denture’s clasp is of particular importance as it affects the denture longevity during the function. The key of successful clasp selection is to select a direct retainer that will control tipping and torquing forces on the abutment teeth, provide retention against reasonable dislodging forces and are compatible with both tooth and tissue contour and the aesthetic desire of the patient. In this consideration, different materials employed for the clasp construction were compared mechanically.AIM: This study aims to compare the most usable esthetic clasps mechanically to clarify the most suitable material to be used as partial denture clasps.METHODS: Evaluation of surface roughness, retention and deformation has been investigated utilising different in-vitro methods. All these techniques provide valuable information regarding the mechanical properties of the materials tested. However, none of the in-vitro techniques can expose the tested materials to conditions similar to that of the oral environment (in-vivo) such as pH value and temperature variations.RESULTS: Most commonly, RPD clasps are fabricated from the same alloy of the metal framework, as cobalt-chromium (CoCr) alloy although it is unaesthetic. Other methods consumed to avoid such esthetic mystery have included coating retainers with tooth-coloured resin or introduction of esthetic materials as Thermoplastic Acetal, Versacryl, and Thermopress.CONCLUSION: It has been concluded that the non-metal Acetal resin retainer reveals superior mechanical properties.