Miracle-dz/UniFAR-FTUs huggingface dataset:
Processing of Verbal Data and Knowledge Representation by GABEK®-WinRelan®

Verteiltes, partikulares Wissen findet sich nicht mehr nur in Organisationen, sondern auch im Internet. In diesem Artikel werden wir zeigen, wie man mit Hilfe der Software WinRelan diffuses sprachliches Wissen auswahlen, verarbeiten und strukturieren kann, so dass es zu einem ganzheitlichen Verstehen der Phanomene fuhrt und Handlungsmoglichkeiten eroffnet, welche von den Betroffenen akzeptiert und unterstutzt werden. Vor diesem problemorientierten Hintergrund wurde die Methode GABEK (GAnzheitliche BEwaltigung von Komplexitat, © Josef Zelger, Innsbruck, 1990 – 2002) entwickelt und als Software WinRelan (Windows Relation Analysis © Josef Zelger, Innsbruck) implementiert. WinRelan macht es moglich, selbst grosere ungeordnete und kontroverse umgangssprachliche Daten zu analysieren. Dabei werden automatisierte Verarbeitungsschritte durch die Software von der semantischen Weiterbearbeitung durch den Bearbeiter begleitet. Winrelan bietet unterschiedliche PC-unterstutzte Operationen an, wobei jede dieser Operationen zur Integration und Verknupfung des vielschichtigen verteilten Wissens der betroffenen Leute fuhrt. Die Ergebnisse der Operationen sind begriffliche Wissenssysteme, empirische Verallgemeinerungen, kognitive Konzepte, Annahmen uber Kausalbeziehungen und Bewertungprofile in Form von Gestaltenbaumen, Netzwerkgrafiken, Bewertungslisten, Kausalgrafiken, Relevanzlisten, usw. Die Methode wird sowohl in der Theoriebildung als auch im Bereich der Entscheidungsfindung in Organisationen eingesetzt. URN: urn:nbn:de:0114-fqs0202272
Interfacial Reaction and Morphology Between Molten Sn Base Solders and Cu Substrate

The morphologies and growth of e(Cu 3 Sn) and η(Cu 6 Sn 5 ) intermetallic compounds (IMCs) between a molten Sn base solder and a Cu substrate were experimentally investigated. It is shown that the thickness of the e(Cu 3 Sn) and η(Cu 6 Sn 5 ) compounds decreases with deceasing Sn content and that the order of the growth rate of the compounds on the Cu substrate are as follows: Sn-57(mass%)Bi < Sn-37Pb < Sn-3.5Ag < Sn < Sn-6.7Sb. The growth of these phases basically obeys the parabolic law, but the growth behavior is divided into two stages, the growth rate and morphology of the η(Cu 6 Sn 5 ) compound are differing from each other in the two-stage. It is suggested that the grooving effect is at least one of the origins of the formation of the scallop morphology of the η(Cu 6 Sn 5 ) compound.
SPIDERS: the spectroscopic follow-up of X-ray-selected clusters of galaxies in SDSS-IV

Alfred P. Sloan Foundation; US Department of Energy Office of Science; Center for High-Performance Computing at the University of Utah; Brazilian Participation Group; Carnegie Institution for Science; Carnegie Mellon University; Chilean Participation Group; French Participation Group; Harvard-Smithsonian Center for Astrophysics; Instituto de Astrofisica de Canarias; Johns Hopkins University; Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo; Lawrence Berkeley National Laboratory; Leibniz Institut fur Astrophysik Potsdam (AIP); Max-Planck-Institut fur Astronomie (MPIA Heidelberg); Max-Planck-Institut fur Astrophysik (MPA Garching); Max-Planck-Institut fur Extraterrestrische Physik (MPE); National Astronomical Observatory of China; New Mexico State University; New York University; University of Notre Dame; Observatario Nacional/MCTI; Ohio State University; Pennsylvania State University; Shanghai Astronomical Observatory; United Kingdom Participation Group; Universidad Nacional Autonoma de Mexico; University of Arizona; University of Colorado Boulder; University of Oxford; University of Portsmouth; University of Utah; University of Virginia; University of Washington; University of Wisconsin; Vanderbilt University; Yale University; German BMWI through the Verbundforschung [50 OR 1506]; National Science Foundation
Day of the week effect and stock returns: evidence from ibovespa

Day of the week effect study is focused as astock market anomaly on the equity market practices in Brazil. Themodus-operandi applicable in this research consists of daily stock pricesconcerned to Ibovespa Index, for the period January 1994 to December 2011. Theworking week for trade matters consist of five days. Study concludes that Fridayreturns are quite significant and positive. Hence it is inferred that thereexists day effect in brazilian stock market. The returns of Friday on anaverage are greater in comparison to rest of the days.
A Freshwater Lake Saga: Carbon Routing Within the Aquatic Food Web of Lake Schwerin

Recently, several case studies have demonstrated the presence of human radiocarbon dietary reservoir effects in inland contexts. Freshwater reservoir effects present a high degree of variability, making it difficult to define local reservoir effect reference values necessary for correcting chronologies based on 14C dating of human bone material. Here, we investigate the hypothesis that 14C ages of edible freshwater species are delimited by the 14C ages of the main water carbon pools (DIC, POC, and DOC). Water, plant, algae, bivalve, and fish samples were collected from lakes Schwerin and Ostorf (Germany). 14C and isotopic measurements were performed on the floral and faunal species and on water DIC, POC, and DOC. The results demonstrate the potential of the study area for large and variable freshwater reservoir effects. In the case of Lake Schwerin, the working hypothesis was verified as the 14C ages of faunal and floral species were delimited by the 14C ages of water DIC and POC, probably associated with 2 extreme categories of food chains (grazing and detritus). While the results obtained confirm the working hypothesis and suggest a relatively straightforward interpretation, further research is necessary to investigate possible spatial and seasonal variations.
Under the general equilibrium perspective of house price decision model : An empirical research of the effect of the property tax of China XINZHI

China has been facing an intractable problem which is the extremely high house price especially in the recent 10 years. The average house price of China has increased about 3 times in ten years. The situation in the major cities of China such as Shanghai is more serious. Such high house prices has severely harmed the society welfare in China, and the inequality is worse and worse at the same time. China has been considering to introduce the property tax which never exists in China before as a way to reduce the house price and increase the government revenue. The house price is always a popular topic in economics. In this paper, I try to analyze the possible influencing factors of house price from the micro sight. From the maximization of utility of households and maximization of profit of real-estate developers, the total demand curve and supply curve can be estimated, and then, a theoretical house price model is established under the general equilibrium perspective. With the theory support, the empirical research can be reasonably performed. Beijing and Shanghai, as two major cities in China, together with China as a whole, are modeled in the empirical study for the investigation of the house price of China. After estimating these three house price model, the property tax simulation are performed for each house price model. Each equation of the empirical house price decision model is estimated with the time series data from 2005 to 2016 of Beijing, Shanghai and the whole China. The result of the simulation of the 5% property tax rate in each model shows that the property tax is indeed enable to decrease the high house price.
Indoor positioning and navigation system for autonomous vehicles based on RFID technology

The localization and navigation systems play a very significant role in today’s world. They are commonly used in different fields of industry as well as in our daily life. Location of objects is crucial in logistics and transport to provide the real-time monitoring and management of process chain. There are numerous methods which allows to follow people and objects within defined area. One of them is Global Positioning System (GPS), which provides geolocation of objects on the earth as long as an unobstructed line of sight to four or more satellites is assured. As a consequence of this limitation, GPS cannot be applied for indoor environments. Recently, a couple of Indoor Positioning Systems (IPS) based on different technologies have been developed. Despite the drawbacks and limitations, these systems have been successfully applied for different fields of industry. Notwithstanding the above, reliable, accurate, cost-effective and simple indoor positioning methods are still in the area of scientists interest. Present paper provides a general overview of existing indoor positioning systems as well as authors concept of 2D wireless indoor positioning and navigation system dedicated for autonomous vehicles based on Radio Frequency Identification (RFID) technology.
Analyzing Fresh Vegetable Consumption From Household Survey Data

Abstract To analyze fresh vegetable consumption using household survey data, the tobit model and a more flexible parameterization to the tobit model—the “double hurdle” model—were considered. Based on the likelihood ratio test, the tobit model was rejected against the “double hurdle” specification. Moreover, the results suggest that the tobit model underestimated the impact of the explanatory variables on fresh vegetable expenditures. Other results indicate that total food expenditures (proxy for income), age, household composition, sex, race, marital status, urbanization, region, and seasonality are all important determinants of fresh vegetable expenditures.
Eco-friendly production of high quality low cost graphene and its application in lithium ion batteries

Large scale production of low cost and high quality graphene from abundant raw materials using eco-friendly methods is a critical step towards the widespread and sustainable use of this so-called “wonder material”. This paper for the first time reports a single step molten salt electrochemical method for the high yield preparation of graphene nanosheets having all the characteristics mentioned above. This process uses readily available commercial graphite electrodes as the carbon source which is both abundant and cheap. Surprisingly, apart from graphite, the other consumables are H2 and electricity, and no by-product is produced. This method is not only eco-friendly but also very efficient. It offers a production rate of 450 g graphene per litre of molten salt per day. A molten salt volume of 10 L should be able to produce 4.5 kg graphene in a day. The graphene product showed a high conductivity of 5.8 × 105 S m−1. The bench-scale production of high quality graphene, on a scale of tens of grams, was achieved using a novel two working electrode electrolysis cell, operating at a current density of about 1 A cm−2 which is at least an order of magnitude higher than any other electrochemical exfoliation method which has been used so far for the preparation of graphene. The mechanism involved in the process is discussed. The graphene nanosheets showed a high oxidation temperature of 663 °C when heated in air at 40 °C min−1. A simple and green strategy was developed to anchor SnO2 nanocrystals on the graphene nanosheets, and the lithium storage performance of the composite obtained was investigated. The composite displayed a high and stable lithium capacity of 1016 mA h g−1 after 100 cycles of lithiation and de-lithiation.
Soil fauna and global change - responses to experimental drought, irrigation, fertilisation and soil warming.

Lindberg, N. 2003. Soil fauna and global change – responses to experimental drought, irrigation, fertilisation and soil warming. Doctor’s dissertation. ISSN 1401-6230, ISBN 91-576-6504-4. To examine possible effects of global change on soil fauna abundance and diversity, two long-term field experiments in Norway spruce stands in Sweden were studied. Soil fauna (Oribatida, Mesostigmata, Collembola, predatory macroarthropods and Enchytraeidae) were sampled in plots experimentally simulating altered precipitation patterns and increased soil temperature. Six years of summer drought caused large decreases in abundance in all faunal groups and a reduction in species diversity of Oribatida and Collembola. Summer drought and irrigation caused shifts in the community composition of Oribatida and Collembola, but drought affected soil fauna more than irrigation. Increased soil temperature during 5 years resulted in positive responses in several Oribatida species and negative in some Collembola species. Three years after the summer drought treatment had ceased, the soil arthropod communities had still not returned to control conditions. Total abundances recovered quickly, but species richness, diversity indices and community composition recovered slower. Mobile arthropod groups seemed to recover faster than groups with more limited dispersal ability, and Oribatida had the slowest recovery rate. Microarthropod species with wide habitat niche width recovered faster than those with narrow niche width, and parthenogenetic Oribatida recovered faster than sexually reproducing ones. Overall, Collembola were less affected by drought, and recovered faster than Oribatida. Soil fauna decreased in plots receiving repeated additions of solid nitrogen fertiliser for 13 years, whereas slight increases were found in plots receiving liquid fertiliser. The fertilisation treatments caused shifts in the community composition of Oribatida and Collembola but did not cause changes in species richness. In conclusion, climate change resulting in frequent summer droughts will probably decrease abundance and diversity of forest soil fauna. Moister conditions may primarily result in shifts in community structure. Intensive forest fertilisation for biofuel production will probably affect the composition of soil fauna communities. Oribatida communities seem to be particularly vulnerable to disturbances. Post-disturbance recovery of soil fauna seems to be slow and disturbances on a large spatial scale may affect the resilience of soil ecosystems, as disturbances may cause permanent changes in community composition.
Pricing To Market Behavior: Evidence From Selected Canadian And U.S. Agri-Food Exports

This study examines the pricing behavior of Canadian and U.S. agri-food exporters consistent with a model that permits the identification of pricing to market (PTM) behavior and imperfect market competition in agri-food markets. The estimation strategy takes advantage of recently developed panel unit root tests to determine the time-series properties of the data and avoid the problem associated with lower power conventional unit root tests. Among U.S. products, the conventional PTM model indicated evidence of a greater degree of imperfect competition in international markets for U.S. wheat. While price discrimination and market segmentation are apparent for Canadian exports in selected markets, the export adjustment pattern in most cases tended to exacerbate the effect of exchange rate fluctuations on foreign currency prices of Canadian products.
PREDICTIVE VALUE OF THE MORSE FALL SCALE

Aim: The goal of this study was to analyse relevant research studies focusing on the testing of the predictive value of the Morse Fall Scale measuring device on hospitalized patients. Design: Literature review. Method: Search for full text research studies in Web of Science, Scopus, ScienceDirect, and Summon Discovery Tool (licensed electronic information databases), based on pre-established criteria, and key words, from 1989 to 2016. Results: Sensitivity values ranged from 31% to 98%, and specificity values ranged from 8% to 97% in 14 analysed studies. The predictive value of the tool in validation studies varies depending on the tested cut-off value, the type of clinical ward, the frequency of assessment, the size and age of the sample, and the length of hospitalisation; therefore, the validity of the results from one study cannot by extrapolated to the entire hospitalized population of patients. Conclusion: The predictive values of the Morse Fall Scale are not stable; they vary in clinical conditions according to various factors. When implementing a tool for a specific clinical ward, an optimum cut-off score must be established to ensure that preventative strategies do not require unnecessary effort on the part of the staff, and do not increase hospital costs. Keywords: falls, hospital, Morse Fall Scale, sensitivity, specificity, review.
Zero crashes, zero congestion, and zero emissions – Future Research in Traffic Management

This text is the result of the Thematic Group Traffic Management of the ECTRI - European Conference of Transport Research Institutes. As a position paper, it states the challenges that the European Research Agenda will have to face if the following goals for a future transportation system are considered: * User-aware mobility * Zero accidents and zero emissions * Minimum space, time, energy & costs for transport It describes in a concise manner the research approaches needed to achieve the realization of these goals
Analysis of Data Security and Privacy Issues in Cloud Computing Technology

: I nformation security and privacy are equally extremely important issues in IT industry. In the cloud processing technology, it becomes especially critical since the information is situated in various places even in the whole globe. Information security and privacy protection are the two major facets of user's considerations in regards to the cloud processing technology. However several methods on the issues in cloud processing have already been investigated in academics and industries, information safety and privacy safety are getting more crucial for future years growth of cloud processing in government, market and business. Information protection and privacy protection problems are strongly related equally hardware or equipment or electronics and computer software or application in the cloud architecture. This study is to examine various information protection methods and difficulties from both computer software or application and hardware or equipment or electronics factors for guarding information in the cloud and seeks at improving the information protection and solitude safety for the reliable cloud environment. In this research paper, we create a relative evaluation of the present research work regarding the data security and privacy issues found in the cloud computing technology .
Summary of Improvement and Research Based on Robust Principal Component Analysis Model

Moving object detection play an important role in the application of computer vision. In recent years, the proposal and improvement of robust principal component analysis has broad application prospects in intelligent video surveillance and other fields. In order to enable domestic and foreign researchers to deeply explore and apply the RPCA, this paper systematically reviews it. This paper summarizes the latest research progress, summarizes various RPCA models at home and abroad, and theoretically analyses their advantages and disadvantages. In this paper, different improved models are applied to video sequences of different scenes, and comparative experiments are carried out. Overall, the current improved algorithms can effectively remedy the shortcomings of the original RPCA method and improve the accuracy of moving object detection. However, some limitations of RPCA need to be further studied.
Title Predictive factors in the evaluation of treatment response to neoadjuvant chemoradiotherapy in patients with advanced esophageal squamous cell cancer

Neoadjuvant therapy before esophagectomy is evidence-based, and is a standard-of-care for locally advanced and operable esophageal cancer. However response to such treatment varies in individual patients, from no clinical response to pathological complete response. It has been consistently shown that a good pathological responses is of prognostic value, but perhaps in the expense of those who do not. It is important to identify suitable predictive factors for response, so that patients are not exposed to potentially harmful chemotherapy and/or radiotherapy without benefits. Alternative management strategies can be devised. Various clinical, radiological, serological and potential molecular markers have been studied. None has been shown to be sufficiently reliable to be used in daily practice. Certainly more understanding of the molecular basis for response to chemotherapy/radiotherapy is needed, so that patient treatment can be tailored and individualized.
Hyperspectral remote sensing image classification based on SDE

Sparsity Preserving Projection(SPP)is a new algorithm for reducing dimensions of dataset based on a weighted graph(l1-Graph),which reconstructs the weighted graph by the sparse relationship of train samples.However,SPP is an unsupervised learning method essentially,and it doesn't employ any prior knowledge of class to extract identification features.For this issue,a novel algorithm,Sparsity Discriminant Embedding(SDE)is proposed.Unlike SPP,the SDE adopts the class information of train samples when it constructs weighted graph of sparse reconstruction relationship.The projection matrix of the SDE is obtained via optimizing objective function and making different kinds of data points separate in the low-dimensional embedding space via a projection.By combining both interclass manifold structure and sparse property,the SDE keeps the sparse reconstructive relationships of dataset,and employs the class information of train samples to increase the classification rate.The experimental results obtained from operations on Urban and Washington DC Mall datasets show that the classification efficiency of the SDE has improved greatly as compared to those of other algorithms.The obtained classification accuracy has been 73.47% and 98.35%,respectively,when16samples of each class are randomly selected for training.
THE IMPACT OF GOVERNMENT AGRICULTURAL EXPENDITURE ON POVERTY IN ZIMBABWE

Global experience with pro-poor growth and empirical work spanning India, Benin and Malawi demonstrates the importance of agricultural expenditure for poverty reduction in poor rural areas, while also pointing to the need for complementary non farm sector growth. This paper proposes a simple methodology to estimate the agricultural spending that will be required to achieve the Millennium Development Goal of halving poverty by 2015 (MDGs) in Zimbabwe. This method uses growth poverty and growth expenditure elasticities to estimate the financial resources required to meet the MDGs. The paper attempts to address a key knowledge gap by improving estimation of first MDG agricultural expenditure at country level.
A Balance-Logic Perspective on Kruglanski and Thompson's Single-Route Approach to Persuasion

testing dual-process persuasion models that they have ordinarily been tested with contextual information that is simply presented in the form of a cue. Whether this simple presentation of contextual information is typical of natural settings is an interesting question. Although I suspect that, especially in venues such as advertising, contextual information is more often presented briefly and simply than extensively and complexly, in other venues (e.g., courts of law) contextual information is more likely to be complexly presented. In conclusion, Kruglanski and Thompson have brought an interesting class of persuasive messages to the attention of researchers-messages that are nested in the sense that one set of arguments presents the source information (or other contextual information) and the other set presents a position on an issue. Dual-process predictions can be generated for this interesting class of communications, if researchers treat these messages as nested and ask whether each message requires systematic processing for its implications to be understood.