Miracle-dz/UniFAR-FTUs huggingface dataset:
Innovation Systems and Policy-Making Processes for the Transition to Sustainability

The interactions between ‘technological systems’ and ‘institutional systems’ and the innovation processes occurring within them are a key factor in transitions to more sustainable socio-natural systems. Such transitions will be greatly influenced by how policies and regulatory frameworks (within the policy-making process) affect innovation in these systems, and, in turn, how innovation processes affect policy and governance frameworks. This chapter describes initial results from a research project being undertaken by the authors, under the UK ESRC Sustainable Technologies Programme, which is investigating the interaction between the policy-making process and the innovation process. The project is undertaking theoretical and empirical analyses of the interactions between policy-making processes and innovation systems in two case study areas low carbon innovation in the UK and alternative technologies for energy sources in vehicles at the EU policy level. From these analyses, together with experience of direct involvement in producing policy advice for these two areas, a set of process guidelines will be developed for improving sustainable innovation policy processes, contributing to the design of a better mix of policy instruments for promoting innovation towards sustainability.
Wearable Recognition System for Emotional States Using Physiological Devices

Recognizing emotional states is becoming a major part of a user's context for wearable computing applications. The system should be able to acquire a user's emotional states by using physiological sensors. We want to develop a personal emotional states recognition system that is practical, reliable, and can be used for health-care related applications. We propose to use the eHealth platform [1] which is a ready-made, light weight, small and easy to use device for recognizing a few emotional states like ‘Sad’, ‘Dislike’, ‘Joy’, ‘Stress’, ‘Normal’, ‘No-Idea’, ‘Positive’ and ‘Negative’ using decision tree (J48) classifier. In this paper, we present an approach to build a system that exhibits this property and provides evidence based on data for 8 different emotional states collected from 24 different subjects. Our results indicate that the system has an accuracy rate of approximately 98%. In our work, we used four physiological sensors i.e. ‘Blood Volume Pulse’ (BVP), ‘Electromyogram’ (EMG), ‘Galvanic Skin Response’ (GSR), and ‘Skin Temperature’ in order to recognize emotional states (i.e. stress, joy/happy, sad, normal/neutral, dislike, no-idea, positive and negative). KeywordsEmotional states; Physiological devices; International Affective Picture System; Machine learning classifier; User studies.
Carbon dioxide efflux during the flooding phase of temporary ponds

ABSTRACTCarbon dioxide efﬂux during the ﬂooding phase of temporary ponds Small water bodies, such as temporary ponds, have a high carbon processing potential. Nevertheless, despite the globaloccurrence of these systems, the carbon efﬂuxes from such water bodies have been largely overlooked. In this study, weexamined the intra- and intersystem variability of carbon dioxide (CO 2 ) efﬂuxes from a set of Mediterranean temporaryponds during the ﬂooding phase, a hot-spot for biogeochemical cycling in temporary systems. The CO 2 efﬂuxes showedhigher variability among the various sections of each pond (i.e., inundated, emerged-unvegetated and emerged-vegetated)than among the ponds. The emerged-vegetated sections showed the highest CO 2 efﬂuxes per unit area and tended to drivethe total efﬂuxes at the whole-ecosystem scale. The mean CO 2 efﬂux (121.3±138.1 mmol m –2 d –1 ) was in the upper rangefor freshwater ecosystems. The CO 2 efﬂuxes were not related to catchment properties but rather to the organic content of thesediments,especiallyintheemergedsectionsoftheponds.Ourresultsindicatethattemporaryponds,especiallytheiremergedsections, are important sources of CO
Montessori Yaklaşımına Genel Bir Bakış ve Eğitim Ortamının Düzenlenmesi

Bu calismada, Montessori yonteminin ana hatlari ortaya konularak, egitimciler ve aileler tarafindan cocugun dogasinin anlasilmasini ve ona gore bir egitim sunulmasini saglamak amaclanmistir. Arastirma, literatur taramasi seklindedir. Italya’nin ilk kadin doktoru olma basarisini gosteren Maria Montessori, egitim alanindaki gorusleriyle de dunyada yanki uyandirmistir. Zihinsel engelli cocuklarla calismasiyla baslayan egitim yolculugu, “Cocuk Evi”yle devam etmistir. Ona gore egitimin merkezinde cocuk vardir. Cocugun duyularini gelistirmek onemlidir. “Eller zihnin araclaridir. ” Cocugun, dogal merakinin yonlendirmesiyle, ozgurluk icinde hareket edebilmesi icin ortamin ve materyallerin ona gore duzenlenmesi gerekir. Cocuklarda belirli becerilerin kazanilmasi icin “hassas donemler” ve bu donemlerde cok az bir gayretle bu becerilerin kazanilmasini saglayan “emici zihin” vardir. Yontemdeki hazirlanmis cevre, cocugun bilissel ve duyussal acidan gelismesine imkan tanimaktadir.
Ethanol Production by Fermentation of Various Sweet-Stalk Sorghum Juices Using Various Yeast Strains

The ethanol production by fermentation of sweet-stalk sorghum juice is affected by the juice composition and the capability of the yeast strain to ferment it. Eight yeast strains were tested on their growth and ethanol fermentation abilities in sweet-stalk sorghum juices extracted from three cultivars of sweet sorghum. The best specific growth rate of the yeast strains grown aerobically in the yeast extract peptone dextrose (YEPD) broth and the sweet-stalk sorghum juices of KCS105, FS501, and FS902 cultivars, were achieved by OUT7903, OUT7913, OUT7903, and OUT7027 yeast strains, respectively. However, the best specific CO2 evolution rate of the yeast strain during fermentation of the juices was achieved by OUT7027 yeast strains. The highest ethanol concentration, ethanol yield, and sugar conversion efficiency (SCE) were obtained by strain OUT7921 when it was employed to ferment sweet-stem sorghum juice of FS902 cultivar. It was also observed that the juice extracted from sweet-stalk sorghum of FS902 cultivar is the most suitable medium for all yeast strains to achieve their best fermentation abilities. Thus, it is likely that the growth and ethanol production ability of a yeast strain in sweet-stalk sorghum juice depend on the physiological responses of the yeasts to nutrient composition of the sorghum juice and the sorghum cultivar from which the juice was extracted. Key words : Sweet-stalk sorghum juice, ethanol, fermentation, yeast
Public pensions in Italy and Germany : a comparison based on panel data

This paper analyzes the reasons underlying low labor force participation rates (LFPRs) of women and the elderly population in Italy and Germany. The international comparison highlights the effects of different institutional arrangements on labor market outcomes. The study is based on panel microdata, allowing to trace the dynamics of the retirement process at the individual level. The empirical evidence shows that in both Italy and Germany workers tend to retire before reaching the normal retirement age and that female LFPRs are lower in Italy than in Germany, due mainly to lower education level. The data also show that, given the same social and economic characteristics of individuals, the male/female wage differentials are higher in Germany. So lower female LFPRs in Italy apparently do not depend on wage discrimination. Although the education level of the elderly is relatively low in Italy, this is not sufficient to explain the trend towards early retirement that characterizes Italian labor force. The Italian early retirement scheme (pensioni di anzianit`a) seems to provide a stronger incentive to retire than the German pathways to early retirement.
Developing a simple, rapid method for identifying and monitoring jellyfish aggregations from the air

Within the marine environment, aerial surveys have historically centred on apex preda- tors, such as pinnipeds, cetaceans and sea birds. However, it is becoming increasingly apparent that the utility of this technique may also extend to subsurface species such as pre-spawning fish stocks and aggregations of jellyfish that occur close to the surface. In light of this, we tested the utility of aer- ial surveys to provide baseline data for 3 poorly understood scyphozoan jellyfish found throughout British and Irish waters: Rhizostoma octopus, Cyanea capillata and Chrysaora hysoscella. Our princi- pal objectives were to develop a simple sampling protocol to identify and quantify surface aggrega- tions, assess their consistency in space and time, and consider the overall applicability of this tech- nique to the study of gelatinous zooplankton. This approach provided a general understanding of range and relative abundance for each target species, with greatest suitability to the study of R. octo- pus. For this species it was possible to identify and monitor extensive, temporally consistent and pre- viously undocumented aggregations throughout the Irish Sea, an area spanning thousands of square kilometres. This finding has pronounced implications for ecologists and fisheries managers alike and, moreover, draws attention to the broad utility of aerial surveys for the study of gelatinous aggrega- tions beyond the range of conventional ship-based techniques.
The Erzgebirge, Germany, a subducted part of northern Gondwana: geochemical evidence for repetition of early Palaeozoic metasedimentary sequences in metamorphic thrust units

One of the major metamorphic terranes of the Bohemian Massif, the Erzgebirge, is interpreted to record a subducted part of a Palaeozoic margin of Gondwana. A geochemical study on non-calcareous metasediments from the various metamorphic units from lower greenschist to granulite facies metamorphism supports a recently established thrust model. Geochemical discrimination and correlation from the metasediments of the Erzgebirge suggest repetition of an early Palaeozoic metasedimentary sequence in metamorphic thrust units. This new finding is in line with recent radiometric dating of intercalated metarhyolitic rocks, which yielded ages of around 480 Ma. It is furthermore supported by correlation with a low-grade standard section in Thuringia, which represents the transition from an orogenic belt to a passive margin setting, with highly mature sediments. Significant geochemical signatures have been identified in three different lithotypes, which reappear in at least three metamorphic units of the Erzgebirge. Geochemical correlation of these units was established using simple comparison of averages and with statistical techniques. The identification of significant geochemical signatures from different lithotypes in metamorphic suites has important implications for terrane analysis and reconstruction of ancient tectonic settings. The repetition of lithologies and their distinct chemical compositions in progressively metamorphosed units is useful for examining element mobility during Barrovian metamorphism. Statistical comparison implies that Li is progressively depleted from the greenschist to amphibolite facies, whereas Ca exhibits some enrichment. All the other elements studied are considered to be immobile.
Teacher Candidates Opinion about Technology-Oriented Transformations.

Received 19 September 2013; revised 27 February 2014; accepted 11 April 2014; published 25 March 2015 One of the most important characteristics of period we live is change and transformation. Technology is one of the factors effecting this change. A new technological product or an advanced model of technology influences people‟s lives. While technology leaves an impression on life in the past, this effect becomes in a very quickly way compared to today. Therefore, most people have witnessed a great number of transformations in the recent period. In this study, changes caused by technology on our lives have been reviewed with the eye of teacher candidates. 35 teacher candidates whose ages change between 19-23 were participated in this study supported by qualitative methods. Transformations resulting from technology witnessed by them during all their lives are given as a finding from the perspective of participants. We have made use of open ended question form as a data collection mean in this study. As a result of examination of data gained through content analysis, accessibility to information in the field of education, increasing of quality in the education, becoming important of visual learning, in particular using of new technologies with the purposes of communication in family and negative aspects of new technologies, gaining speed of communication in the communication, coming into our life of new technologies such as 3G via internet and decreasing of social communication have become prominent transformations in the recent times. On the other hand, it has been stated that transportation, entertainment, health, automobile industry, public enterprises and agriculture sector are fields affected too much from technologyoriented transformations subsequent to education, family and communication.
A Heuristic Approach to Measure Contribution of Foreign Trade to Growth

Contribution of final demand components to gross domestic product (GDP) is often measured by a simple aggregated national accounting identity. Under this conventional approach, the contribution of exports is subtracted from imports to compute the contribution of net exports but it fails to split the imported intermediate and final use that is embodied in each domestic final demand. The so-called import-adjusted approach is considered to be an ideal approach to measure the contribution of each final demand component to GDP. This approach splits imported intermediate and final use for each final demand component instead of accumulating all of them in the export component. This paper provides a heuristic approach for the application of import-adjusted approach to time-series data. We show that given a benchmark input-output table and provided with the annual trade statistics, the bias in measuring the contribution of domestic demand and foreign trade can be reduced. More importantly, we have provided a practical approach that does not only reduce man-hours required for database development but also obtain satisfactory findings. Results verify that the conventional approach tends to overestimate the contribution of domestic demands and underestimate the contribution of net trade to GDP.
Comparison of MSL RCS Jet Computations With Flow Visualization and Velocimetry

Numerical predictions of the Mars Science Laboratory (MSL) reaction control system (RCS) jets interacting with a Mach 10 hypersonic flow are compared to experimental nitric oxide (NO) planar laser-induced fluorescence (PLIF) data. The steady Reynolds Averaged Navier Stokes (RANS) equations using the Baldwin-Barth one-equation turbulence model were solved using the OVERFLOW code. The experimental PLIF data used for comparison consists of qualitative two-dimensional visualization images, qualitative reconstructed three-dimensional flow structures, and quantitative two-dimensional distributions of streamwise velocity. Through modeling of the PLIF signal equation, computational flow images (CFI) were produced and directly compared to the qualitative PLIF data. Post processing of the experimental and simulation data enabled the jet trajectory to be extracted for a more quantitative comparison. The two-dimensional velocity fields were reconstructed through interpolation of a series of single-component velocity profiles. Each distribution of single-component velocity was obtained using molecular tagging velocimetry (MTV). After validating the numerical model, the numerical solution was further examined to gain insight into hypersonic jet-in-crossflow interaction. Future NO-PLIF experiments are proposed based on this analysis.
TEMPORAL DISTRIBUTION OF TOTAL NITROGEN CONCENTRATION IN ROOT

Nitrogen (N) plays an important role in the production of maize. In the absence of N in soils plants shows stunted growth and yellowish leaves and result into reduced crop yield. The study was conducted during two irrigation seasons of 2012 at Nkango Irrigation Scheme, Malawi in a Randomised Complete Block Design (RCBD). The factors were water and nitrogen and both were at four levels. The study inferred that movement, direction and distribution patterns of nitrogen concentration is influenced by evaporation of water from the soil surfaces, pulling effects by plant roots, deep percolation through gravitational force, and ability of plant roots to create environment that is conducive to diffusion of nitrogen. To minimize losses of nitrogen through leaching and ensure that nitrogen is deposited within active root zone, plant should not receive water after physiological maturity.
Retention of Nutritional Quality of Solar Dried Carrot ( Daucus carota L.) During Storage

Carrot ( Daucus carota L.) is a root crop. It belongs to the umbelliferae family. Carrot contains the highest amount of carotene among all the fruits and vegetables which the body converts to vitamin-A. Carrot was dried in a solar drier and packed in polyethylene bags, heat sealed and kept in tin container at ambient temperature for 8 (eight) months. Moisture, reducing sugar, total sugar, starch, protein, fat, vitamin-C, s-carotene content, energy value and reconstitution time of the product were analysed during its storage period at the interval of 2 months. The initial nutrient of fresh carrot and solar dried carrot for the above parameters were analysed. During the storage period protein, starch and total sugar content decreased slightly, vitamin-C decreased remarkably, â-carotene content decreased very slowly and moisture content increased gradually. Sensory properties such as appearance, colour, flavour, texture, taste and physical parameters such as over-all shrinkage ratio, drying ratio, rehydration ratio of the product were also assessed. By assessing all the parameters it is revealed that the product is acceptable for 6 (Six) months. Key words: Carrot; Solar drying; Storage behaviour; Physical parameters; Nutrients DOI: 10.3329/bjsir.v45i4. 7381 Bangladesh J. Sci. Ind. Res. 45(4) , 359-362, 2010
The Impact of Feature Selection on the Information Held in Bioinformatics Data

Abstract The present research examines a wide range of attribute selection methods – 86 methods that include both ranking and subset evaluation approaches. The efficacy evaluation of these methods is carried out using bioinformatics data sets provided by the Latvian Biomedical Research and Study Centre. The data sets are intended for diagnostic task purposes and incorporate values of more than 1000 proteomics features as well as diagnosis (specific cancer or healthy) determined by a golden standard method (biopsy and histological analysis). The diagnostic task is solved using classification algorithms FURIA, RIPPER, C4.5, CART, KNN, SVM, FB+ and GARF in the initial and various sets with reduced dimensionality. The research paper finalises with conclusions about the most effective methods of attribute subset selection for classification task in diagnostic proteomics data.
Education, Diversity, and Constructivism: A Pragmatic Point of View.

In education, constructivist theories of knowledge have stimulated research, especially in the fields of mathematics and science education. Less attention has been given to the implications of constructivist epistemology for the overall concepts that guide education, such as the ideals of general or civic education or about the canon. This paper considers the more fundamental levels of the debate about the educational significance of a constructivist understanding of knowledge. The main aim is to make clear the way in which a constructivist approach cannot be used. It is argued that there is no such thing as an "epistemology of knowledge construction," and that, because of this, a consistent constructivism cannot be deployed as an overarching theory about the variety of constructed points of view. The main point of reference in the paper is the educational philosophy of John Dewey. Dewey presented a transactional constructivism that can account for both the subjective and intersubjective dimensions of the process of knowledge construction in a coherent way. Although Dewey's work contains an excellent clarification of the process of knowledge construction, it is not the only constructivist paradigm. The radical constructivism of von Glasersfeld and the approach of J. Banks are discussed. The constructivist reconceptualization of education leads to an increased awareness of the ethical dimension of education as it raises awareness of the complexity of education. (Contains 46 references.) (SLD) **************** *** ****** * ****** **** ********* *********************************** Reproductions supplied by EDRS are the best that can be made from the original document. ****** ***** ******** ************************************************************* Education, Diversity, and Constructivism: A Pragmatic Point of View Raf Vanderstraeten & Gert Biestal Utrecht University, The Netherlands Paper presented at the Annual Meeting of the American Educational Research Association, San Diego, April 13-17, 1998. SIG Philosophical Studies in Education [session 33.55 Thursday April 16 8:15-10:15] U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) Xr This document has been reproduced as received from the person or organization originating it. Minor changes have been made to improve reproduction quality. Points of view or opinions stated in this document do not necessarily represent official OERI position or policy. 1 PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY
Efficiency of Linear and Non-Linear Classifiers for Gas Identification from Electrocatalytic Gas Sensor

Electrocatalytic gas sensors belong to the family of electrochemical solid state sensors. Their responses are acquired in the form of I-V plots as a result of application of cyclic voltammetry technique. In order to obtain information about the type of measured gas the multivariate data analysis and pattern classification techniques can be employed. However, there is a lack of information in literature about application of such techniques in case of standalone chemical sensors which are able to recognize more than one volatile compound. In this article we present the results of application of these techniques to the determination from a single electrocatalytic gas sensor of single concentrations of nitrogen dioxide, ammonia, sulfur dioxide and hydrogen sulfide. Two types of classifiers were evaluated, i.e. linear Partial Least Squares Discriminant Analysis (PLS-DA) and nonlinear Support Vector Machine (SVM). The efficiency of using PLS-DA and SVM methods are shown on both the raw voltammetric sensor responses and pre-processed responses using normalization and auto-scaling.
A Citation Analysis of Articles Published in the Top-Ranking Tourism Journals (2001-2010)

This paper analyses the citations received by research papers in the three top-tier tourism journals, Annals of Tourism Research, Journal of Travel Research, and Tourism Management from 2001 to 2010. ANOVA tests and post-hoc tests shows that mean citation counts in both SSCI and Scopus received by research papers in the three journals were significantly different from each other. Similarly, mean numbers of tourism articles citing the same research papers were also significant for both SSCI and Scopus. Furthermore, OLS regression analysis revealed that the issue in which the article appeared, its order in the issue, and the number of pages significantly influenced total citation counts as well as citations from tourism articles received by research papers in all three journals.