Miracle-dz/UniFAR-FTUs huggingface dataset:
Mapping the Wind Energy Potential of Sweden: A Sociotechnical Wind Atlas

The installation of onshore wind farms has increased in the past decade all over Sweden, and as a result, more wind projects are facing challenges of, for instance, social opposition and lack of space, which potentially complicate resource assessments. As a response to the current challenges in the Swedish wind industry, this study examines and develops a strategic map of potential areas for the construction of new farms in Sweden. The analyses used to prepare the map are performed using a holistic research strategy that focuses on everything from social to technical challenges. The map is based on an extensive data collection consisting of a comprehensive wind dataset mixed with the outcome of large-scale qualitative studies that include five dominant stakeholder groups in the Swedish wind industry and detailed information on restrictive areas. Consequently, this research presents a resource map, which is intended to inspire all stakeholders in the Swedish wind industry to further develop the successful case of wind power in Sweden. Furthermore, the current research aims to update ongoing debates in the wind energy literature, and finally, it introduces a tool that can be used in all phases of a large-scale energy strategy that involves wind power.
Microbial community of olives and its potential for biological control of olive anthracnose

This work was funded by National Funds through FCT-Foundation for Science and Technology under the project "Olive crop protection in sustainable production under global climatic changes: linking ecological infrastructures to ecosystem functions" (EXCL/AGR-PRO/0591/2012) and "EndoBio - Isolation and selection of endophytic fungi from olive tree for the biological control of Colletotrichum acutatum and Verticillium dahliae" (PTDC/AGR-PRO/4354/2012).
CONSTITUENTS OF JOB SATISFACTION AMONG SMALL AND MEDIUM ENGINEERING ENTERPRISES

There are constituents at work place which affect employee morale, motivation, performance and affect job satisfaction. Job Satisfaction is an important indicator of how employees feel about their jobs and a predictor of work behaviours such as absenteeism and turnover (Michael Armstrong, 1994). SME sector is an important driver of Indian economy that produces more than 8000 products. During our study, it was found that employees at engineering sector of SME are dissatisfied with certain constituents at work place. Interestingly, non monetary factors such as superior-subordinate relationship and treatment have scored more in determining job satisfaction followed by pay and reward practices. This paper attempts to find out constituents that determine job satisfaction at SME.
Selective manipulation of predators using pheromones: responses to frontalin and ipsdienol pheromone components of bark beetles in the Great Lakes region

Abstract 1 One proposed approach to improving biological control of bark beetles (Coleoptera: Scolytidae; alt. Curculionidae: Scolytinae) is to manipulate predator movement using semiochemicals. However, selective manipulation is impeded by attraction of both predators and pests to bark beetle pheromones.
The maximal entropy measure detects non-uniform hyperbolicity

We characterize two of the most studied non-uniform hyperbolicity conditions for rational maps, semi-hyperbolicity and the topological Collet-Eckmann condition, in terms of the maximal entropy measure. Using the same tools in the proof of these results we give an extension of a result of Carleson, Jones and Yoccoz, that semi-hyperbolicity characterizes those polynomial maps whose basin of attraction of infinity is a John domain, to rational maps having a completely invariant attracting basin.
A comparison of international tourists’ behaviours in Bali based on their nationalities

This study aims to provide a comparative overview of international tourists’ behaviour, which come from Western Europe, East Asia and Euro-Asia in the Ecotourism sites in Bali, Indonesia. Regarding to the pattern of relations between linked variables, this study wants to see whether national cultural background of tourists who are visiting ecotourism sites in Bali has an influence on Ecotourism Service Quality, Customer Satisfaction, Crowding, Past Experience and Behavioural Intention, and also if there are any differences in the pattern of relations based on the three distinctive national cultural groups. This study uses a survey method. The sample used in this study consists of 250 international tourists who come from three different national cultural groups. The data was collected by using a questionnaire and analysed by using the software Multigroup SEM. There were confirmed relations between variables. The relations always have a significant effect among the three groups of different national cultures, stated as follows: (1) the relation between the variables of Ecotourism Service Quality and Customer Satisfaction, (2) the relation between the variables of Ecotourism Service Quality and Behavioural Intention, and (3) the relation between the variables of Customer Satisfaction with Behavioural Intention. This condition indicates that there is an universal relation between variables in the sense of application to three groups of different national cultures of relation among variables of Ecotourism Service Quality, Customer Satisfaction and Behavioural Intention. This study also found differences in patterns of relations between variables in the three groups of national cultural backgrounds. In the group of national cultural background of Western Europe, there is only one relation between variables which is not significant. In the group of national cultural background of East Asia, all relations between variables were significant, while for the background of Euro-Asia national culture, there are two relations between variables which are not significant. This condition indicates that there are differences in the pattern of relations between variables in the third group of national cultural backgrounds.
Are Devaluations Contractionary in LDCs ?

Devaluation is said to stimulate the aggregate demand by increasing its net export component. On the other hand, it is said to discourage the aggregate supply by raising cost of imported inputs. The ultimate effect on output has to be settled through empirical analysis. In this paper we employed quarterly data on the measure of domestic output and real as well as nominal effective exchange rate of 23 LDCs and the cointegration technique to show that devaluations have no long-run effect on output in most LDCs.
Controlled Radical Synthesis of Fluorene-Based Blue-Light-Emitting Copolymer Nanospheres with Core―Shell Structure via Self-Assembly

We prepared a series of well-defined polyfluorene-based copolymers by using polyfluorene (PF) macroinitiators to initiate atom transfer radical polymerization (ATRP) of γ-methacryloxypropyltrimethoxysilane (MPS). The chemical structures of hydroxy-functionalized PF (PFOH), PF macroinitiators (PFBr), and polyfluorene-b-poly(γ-methacryloxypropyltrimethoxysilane) (PF-b-PMPS) block copolymers were confirmed by 1H NMR. In THF/aqueous solution, amphiphilic PF-b-PMPS block copolymers can self-assemble into core−shell micelles with PMPS as the core and PF as the shell. Base-catalyzed sol−gel process inside the PMPS core results in PF-encapsulated silica core−shell nanospheres. Transmission electron microscopy (TEM) studies reveal the dense grafting of PF on the surface of silica core. The effect of PF-b-PMPS core−shell structures on the optical and electrochemical properties was also investigated. This novel kind of luminescent nanosphere has potential applications in bioanalysis, biomedical, and light-emitting d.
On mapping seafloor mineral deposits with central loop transient electromagnetics

Electromagnetic methods are commonly employed in exploration for land-based mineral deposits. A suite of airborne, land, and borehole electromagnetic techniques consisting of different coil and dipole configurations have been developed over the last few decades for this purpose. In contrast, although the commercial value of marine mineral deposits has been recognized for decades, the development of suitable marine electromagnetic methods for mineral exploration at sea is still in its infancy. One particularly interesting electromagnetic method, which could be used to image a mineral deposit on the ocean floor, is the central loop configuration. Central loop systems consist of concentric transmitting and receiving loops of wire. While these types of systems are frequently used in land-based or airborne surveys, to our knowledge neither system has been used for marine mineral exploration. The advantages of using central loop systems at sea are twofold: (1) simplified navigation, because the transmitter and receiver are concentric, and (2) simplified operation because only one compact unit must be deployed. We produced layered seafloor type curves for two particular types of central loop methods: the in-loop and coincident loop configurations. In particular, we consider models inspired by real marine mineral exploration scenarios consisting of overburdens 0 to 5 m thick overlying a conductive ore body 5 to 30 m thick. Modeling and resolution analyses showed that, using a 50 m(2) transmitting loop with 20 A of current, these two configurations are useful tools to determine the overburden depth to a conductive ore deposit and its thickness. In the most extreme case, absolute voltage errors on the order of 10 nV are required to resolve the base of a 30 m thick ore deposit. Whether such noise floors can be achieved in real marine environments remains to be seen.
An exploratory study of the adoption and use of securitisation in New Zealand: an interdisciplinary enquiry

Current explanations for securitisation rely predominantly on empirical logistic regression models. Quantitative models predicting the likelihood of securitisation do not consider all of the factors that influence the securitisation decision. In combination with conflicting extant literature and a lack of industry evidence, the answer to why some firms securitise and others do not is incomplete. This study examines how New Zealand (NZ) non-bank financial institutions (NBFIs) make the decision to adopt and use securitisation and how that compares to extant theory. The background theory of capital structure is alone unable to address the research question, therefore a multidisciplinary framework is used to determine what could contribute to an understanding of the decision to adopt and use securitisation. Four case studies are carried out in NZ NBFIs and the findings are compared to literature from Finance, Decision Research, Psychology, and their related sub-disciplines. This research highlights the usefulness of a multidisciplinary approach to examining corporate finance decisions and the complementary nature of quantitative and qualitative models. Firm and region-specific information improves understanding of the securitisation decision at the micro level in areas previously unexplained by macro level theory. While NZ NBFIs make the decision to adopt and use securitisation in a manner consistent with aspects of securitisation and capital structure literature, this study provides insights into problems surrounding information availability, the importance of information sources and the reliance firms place on such information, decision-making methods utilised, the factors and process involved in selecting securitisation over alternative financing, and why some characteristics of securitisers in NZ differ from what is expected by quantitative securitisation models. Key Words: Securitisation, Capital Structure, Decision making, Non-Bank Financial Institutions
Can policy measures foster plug-in electric vehicle market diffusion?

Plug-in Electric vehicles (PEV), both as battery electric vehicles (BEV) and plug-in hybrid vehicles (PHEV) have noteworthy potential to reduce global and local emissions. Governments around the world have implemented monetary and non-monetary policy measures to foster PEV market diffusion. However, empirical estimates of their effectiveness are scarce. Here, we analyse data on PEV sales from Europe and the US with the policy measures active in these countries, e.g., direct subsidies, tax rebates, and public charging infrastructure. The aim of the present paper is to contribute empirical evidence to the discussion of policy aided market evolution of electric vehicles. We find income, gasoline prices and both direct and indirect subsidies to positively influence PEV adoption.
CLASSIFICATION OF DUAL-WAVELENGTH AIRBORNE LASER SCANNING POINT CLOUD BASED ON THE RADIOMETRIC PROPERTIES OF THE OBJECTS

Abstract. Airborne laser scanning (ALS) is a well-known and willingly used technology. One of the advantages of this technology is primarily its fast and accurate data registration. In recent years ALS is continuously developed. One of the latest achievements is multispectral ALS, which consists in obtaining simultaneously the data in more than one laser wavelength. In this article the results of the dual-wavelength ALS data classification are presented. The data were acquired with RIEGL VQ-1560i sensor, which is equipped with two laser scanners operating in different wavelengths: 532 nm and 1064 nm. Two classification approaches are presented in the article: classification, which is based on geometric relationships between points and classification, which mostly relies on the radiometric properties of registered objects. The overall accuracy of the geometric classification was 86 %, whereas for the radiometric classification it was 81 %. As a result, it can be assumed that the radiometric features which are provided by the multispectral ALS have potential to be successfully used in ALS point cloud classification.
Enhanced Model to Improve Memory Based Learning Algorithm

Opinion mining/Sentiment analysis is a field of research which focuses on tracking human opinions written in natural language. Many companies, Now-a-days, extract opinions from various internet sources (such as review sites, blogs, twitter) and try to predict customer's reviews on their upcoming products. Parts-Of- Speech Tagging or POS Tagging, being a crucial step in the process of opinion mining, is the assigning of each word with its POS tag, according to its definition and context in the corpus. In this paper, we will first have detailed study of a POS tagging algorithm i.e. Memory Based Learning Algorithm, along with other POS tagging techniques and then, dealing with its limitations, we will propose an enhanced model in order to significantly improve the efficiency of Memory-Based Learning Algorithm. The Memory Based Learning Algorithm, maintains a word-tag-feature repository, storing word with all its possible tags, along with its fixed width context called feature. During tagging, the algorithm retrieves/computes an appropriate tag, deduced by analyzing feature value of the word. Thus, this algorithm is ineffective, when dealing with sparse data. To be able to deal with this limitation, we have devised an enhanced Memory Based Learning model. In addition to this, we have compared the proposed model with other POS tagging algorithm, in terms of its performance.
Day-Of-The-Week Effects in Different Stock Markets: New Evidence on Model-Dependency in Testing Seasonalities in Stock Returns

This paper investigates the day-of-the-week effects in the stock indexes of both developed and emerging markets as well as the MSCI world index from March 2002? May 2008 using regression models. The results show many daily effects, occurring from Monday to Friday, which are different from the weekend effect. No consistent daily effects were found for either returns or volatility in any market by any of the tested models, and the presence of effects seems to be model-dependent. Surprisingly, the MSCI world index exhibits a strong positive return on Monday and Wednesday. The leverage effect on the arrival of new information is reliably found in three developed markets and the MSCI world index.
Absolute Density Calibration Cell for Laser Induced Fluorescence Erosion Rate Measurements

Abstract Flight qualification of ion thrusters typically requires testing on the order of 10,000 hours. Extensive knowledge of wear mechanisms and rates is necessary to establish design confidence prior to long duration tests. Consequently, real-time erosion rate measurements offer the potential both to reduce development costs and to enhance knowledge of the dependency of component wear on operating conditions. Several previous studies have used laser-induced fluorescence (LIF) to measure real-time, in situ erosion rates of ion thruster accelerator grids. Those studies provided only relative measurements of the erosion rate. In the present investigation, a molybdenum tube was resistively heated such that the evaporation rate yielded densities within the tube on the order of those expected from accelerator grid erosion. This work examines the suitability of the density cell as an absolute calibration source for LIF measurements, and the intrinsic error was evaluated. Nomenclature a,b,c,d = coefficients for vapor pressure calculation A = view factor variable A
The role of SETD 2 in transcription and in DNA damage response

xiv Introduction . 1 1. Chromatin structure . 1 2. Chromatin remodelling . 1 3. Transcription . 2 3.1. The FACT complex is a major regulator of nucleosome dynamics . 3 4. DNA damage response . 4 4.1. DNA damage signalling . 4 4.2. p53 activation during the DNA damage repair . 5 5. Chromatin and cancer . 6 5.1. Clear cell renal cell carcinoma . 6 6. Aims of the study. 6 Results and Discussion . 8 1. SETD2 role in transcription . 8 1.1. Downregulation of SETD2 affects RNAPII turnover at the transcription site . 8 1.2. SETD2 prevents widespread intragenic transcription initiation . 10 1.3. SETD2 promotes FACT recruitment . 12 2. SETD2 role in DNA damage response . 13 2.1. ccRCC cell lines as an experimental model system to investigate the tumour suppressor role of SETD2 . 13 2.2. SETD2 is required for DNA damage repair . 14 2.3. SETD2 is required for ATM activation following DNA damage . 16 2.4. SETD2 is needed for proper DNA damage signalling . 17 2.5. SETD2 regulates p53 activity during DNA damage repair . 18 2.6. The role of SETD2 in DDR is independent from H3K36me3 . 19 Conclusion and Outlook . 21
Cognitive Psychology: Increasing Adult Technology Knowledge

Cognitive psychologists have typically viewed the human mind as a structured system capable of processing information into its short-term memory and then transferring this information into long term memory over a period of time. Individuals have the unique ability of paying attention to information, then deciding what information to process and to what levels. There are three important executive functions; namely, mental set shifting (Shifting), inhibition of proponent responses (Inhibition), information updating and monitoring (Updating) (Miyake, Friedman, Emerson, Witzki, Howerter and Wagner, 2000). These are considered the executive tasks, which plays a role on how we process information, store it and then recall it. Individuals who are able to switch between tasks update their memory with new tasks and react to a task based on responses. Understanding these functions can be useful to increase adults’ knowledge of technology and application.
Motion Segmentation by New Three-View Constraint from a Moving Camera

We propose a new method for the motion segmentation using a moving camera. The proposed method classifies each image pixel in the image sequence as the background or the motion regions by applying a novel three-view constraint called the “parallax-based multiplanar constraint. ” This new three-view constraint, being the main contribution of this paper, is derived from the relative projective structure of two points in three different views and implemented within the “Plane
Responses of spring phenology to climate change

Summary Climate change effects on seasonal activity in terrestrial ecosystems are significant and well documented, especially in the middle and higher latitudes. Temperature is a main driver of many plant developmental processes, and in many cases higher temperatures have been shown to speed up plant development and lead to earlier switching to the next ontogenetic stage. Qualitatively consistent advancement of vegetation activity in spring has been documented using three independent methods, based on ground observations, remote sensing, and analysis of the atmospheric CO2 signal. However, estimates of the trends for advancement obtained using the same method differ substantially. We propose that a high fraction of this uncertainty is related to the time frame analysed and changes in trends at decadal time scales. Furthermore, the correlation between estimates of the initiation of spring activity derived from ground observations and remote sensing at interannual time scales is often weak. We propose that this is caused by qualitative differences in the traits observed using the two methods, as well as the mixture of different ecosystems and species within the satellite scenes.
DISTRIBUTED PLANNING AND SCHEDULING FOR SPACE SYSTEM

This paper proposes a distributed approach for planning and scheduling of the on-board activities of a space system flotilla that can achieve several mission goals through their element coordination. Each system is an autonomous agent with an own knowledge base and an own planning-scheduling reasoning capability. The Planning engine maintains a least commitment approach to look for the solution and the Scheduling phase exploits the temporal flexibility during the activity allocation process. Two different negotiation strategies are presented to coordinate the agents during the scheduling process. They emphasize either the team welfare or the individual welfare. A communication protocol to regulate the coordination is also described. Simulation results on a rover exploration scenario are reported.
Towards ARIMA Models for Resource Management in Sensor Networks

Wireless sensor networks undoubtedly provide the basis for collecting vital information in agricultural, environmental and habitat monitoring applications. However, the use of wireless sensors is not a simple procedure; the amount of data collected by the sensors can often overwhelm the user; much of the data itself may have limited value for decision making and data collection must be managed sufficiently because sensors are energy constrained devices with a finite lifetime, often dictated by radio usage. The first part of this study presents an energy efficient sampling algorithm for data collection in a sensor network. The algorithm is useful because it adjusts the transmission rate for data collection using an Auto-Regressive Integrated Moving Average (ARIMA) control model, which saves energy by limiting communication from sensor nodes. Preliminary results indicate that the ARIMA sampling scheme offers reduced energy consumption compared to a continuous sampling scheme. The second part of this study demonstrates that the ARIMA model can be used for data filtering. This data reduction strategy between a source sensor node and a destination sink node, further extends the sensor lifetime.