Miracle-dz/UniFAR-FTUs huggingface dataset:
A business model design framework for viability; a business ecosystem approach

Purpose: To facilitate the design of viable business models by proposing a novel business model design framework for viability. Design: A design science research method is adopted to develop a business model design framework for viability. The business model design framework for viability is demonstrated by using it to design a business model for an energy enterprise. The aforementioned framework is validated in theory by using expert opinion. Findings: It is difficult to design viable business models because of the changing market conditions, and competing interests of stakeholders in a business ecosystem setting. Although the literature on business models provides guidance on designing viable business models, the languages (business model ontologies) used to design business models largely ignore such guidelines. Therefore, we propose a business model design framework for viability to overcome the identified shortcomings. The theoretical validation of the business model design framework for viability indicates that it is able to successfully bridge the identified shortcomings, and it is able to facilitate the design of viable business models. Moreover, the validation of the framework in practice is currently underway. Originality / value: Several business model ontologies are used to conceptualise and evaluate business models. However, their rote application will not lead to viable business models, because they largely ignore vital design elements, such as design principles, configuration techniques, business rules, design choices, and assumptions. Therefore, we propose and validate a novel business model design framework for viability that overcomes the aforementioned shortcomings.
Automated data processing architecture for the Gemini Planet Imager Exoplanet Survey

Abstract. The Gemini Planet Imager Exoplanet Survey (GPIES) is a multiyear direct imaging survey of 600 stars to discover and characterize young Jovian exoplanets and their environments. We have developed an automated data architecture to process and index all data related to the survey uniformly. An automated and flexible data processing framework, which we term the Data Cruncher, combines multiple data reduction pipelines (DRPs) together to process all spectroscopic, polarimetric, and calibration data taken with GPIES. With no human intervention, fully reduced and calibrated data products are available less than an hour after the data are taken to expedite follow up on potential objects of interest. The Data Cruncher can run on a supercomputer to reprocess all GPIES data in a single day as improvements are made to our DRPs. A backend MySQL database indexes all files, which are synced to the cloud, and a front-end web server allows for easy browsing of all files associated with GPIES. To help observers, quicklook displays show reduced data as they are processed in real time, and chatbots on Slack post observing information as well as reduced data products. Together, the GPIES automated data processing architecture reduces our workload, provides real-time data reduction, optimizes our observing strategy, and maintains a homogeneously reduced dataset to study planet occurrence and instrument performance.
Control of Hydrodynamic Parameters of Wave Energy Point Absorbers using Linear Generators and VSC-based Power Converters Connected to the Grid

The use of linear generators in offshore wave energy plants is one of the most promising technologies for such facilities. The first power converter stage consists of rectifying the electricity generated by the linear generator. Lower cost and easy of assembly are the main diode rectifier advantages, but these devices are not able to control the power extracted from waves. The use of power converters allows control over the instantaneous power flow, and in turn enables both power flow directions. This paper focuses on the control of the first power conversion stage using Voltage Source Converters, in order to modify the characteristics of the hydrodynamic buoy-translator system and thus, optimize the extracted energy from the waves. Simulation results are presented showing the features and advantages of the use of controlled power converters.
Responses of blood metabolites and proteins to different vitamin A levels in Korean native steers.

Received: Revised: Accepted: November 28, 2013 April 19, 2014 June 01, 2014 This study was conducted to determine the correlation between vitamin A restriction and serum metabolites as well as global proteins expression. Forty-eight animals were randomly divided into three groups and given different vitamin A supplementation: High (4.8 IU/g feed), Medium (2.43 IU/g feed) and Low (1.14 IU/g feed). Blood was collected individually via the external jugular veins. Results showed that the concentrations of Ca, total cholesterol, cortisol and cortisone, and the activity of 11beta-hydroxysteroid dehydrogenase (11-HSD) type 2 varied among the groups. An up-regulated (hibernation protein 25) and four down-regulated proteins (gelsolin a, alpha-1-microglobulin/bikunin precursor, transthyretin, and complement factor B) were identified in a proteomics study. These data demonstrated that vitamin A deficiency had considerable effects on the serum levels of several metabolites and global proteins expression and these metabolites and proteins may be used as physiological markers in the study of adipogenic differentiation prevention by vitamin A. ©2014 PVJ. All rights reserved
Effects of antler development stage on fatty acid, vitamin and GAGs contents of velvet antler in spotted deer (Cervus nippon)

This study aimed to provide basic information as the foundation for further studies on the assessment of velvet antler quality by investigating the changes in fatty acid, vitamin A and E, minerals and GAGs contents by development stage of antler in spotted deer (Cervus nippon). Twelve stags (aged 4 to 5 years) were divided into two groups and velvet antler harvested 40 days (FDG) and 60 days (SDG) after casting of the buttons from the previous set. Total saturated fatty acid was lower in FDG than SDG (p<0.05). Total monounsaturated fatty acid, conjugated linoleic acid (p<0.05), polyunsaturated fatty acid and ω3 fatty acid were higher in FDG than SDG. The vitamin A content of FDG was higher than that of SDG, but the vitamin E content of FDG was lower than that of SDG (p<0.05). SDG had significantly higher calcium and phosphate content than FDG (p<0.05). The magnesium content showed a similar trend to the contents of calcium and phosphate, but there was no significant difference between SDG and FDG. Uronic acid content was higher in FDG than SDG but there was no significant difference. The contents of GAGs and sialic acid were significantly higher (p<0.05) in FDG than SDG. These results indicated that the longer stage of antler development had lower content of activating components and this lead to a decrease of antler quality.
Temporal management of short text writing by children and adults

La recherche suivante a pour but l'etude de l'organisation temporelle de la production ecrite chez des enfants âges de 8 et 10 ans et des adultes. En utilisant la procedure de Holmes (1984), des amorces de textes «descriptifs» et «narratifs» sont fournies a des sujets auxquels on demande de rediger une fin pour chaque debut propose. Ces suites doivent satisfaire deux conditions: (1) la predictabilite (banal vs exceptionnel); (2) la complexite syntaxique: les suites doivent comporter une ou plusieurs (2 ou 3) phrases. Trois variables dependantes sont prises en compte: la duree de pre-ecriture, la duree des pauses entre propositions et la vitesse d'ecriture de chaque proposition
The Beck Hopelessness Scale: Factor Structure, Validity and Reliability in a Sample of Student Nurses in South-Western Nigeria

C l i n M e d International Library Citation: Aloba O, Olabisi O, Ajao O, Aloba T (2016) The Beck Hopelessness Scale: Factor Structure, Validity and Reliability in a Sample of Student Nurses in South-Western Nigeria. Int Arch Nurs Health Care 2:056 Received: July 19, 2016: Accepted: August 27, 2016: Published: August 30, 2016 Copyright: © 2016 Aloba O, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Aloba et al. Int Arch Nurs Health Care 2016, 2:056
The Relationship between Indicators of the Quality of a Head Start Classroom Environment and Ratings of Child Social Behavior.

This study monitored classroom quality throughout three Head Start programs in the Southeastern United States, using the "Assessment Profile for Early Childhood Programs: Research Edition II. " A random sample of classrooms was selected to represent high and low quality classrooms in urban and rural settings. Parents and teachers rated the social behaviors of 328 children who were nested within 40 classrooms. Findings indicated that mothers with higher self-reported depression levels also indicated that their children displayed fewer positive social behaviors and more problem behaviors than did mothers with lower levels of depression. Parent-reported home violence was associated with more teacher-identified child disruptive behavior. Higher quality classrooms tended to have lower class averages for the parent-reported child problem behaviors. Teachers who were observed to interact less positively with children tended to rate the children in their classrooms as more compliant. The teacher's ability to individualize instruction tended to moderate the association between the child's age and prosocial behaviors while also moderating the association between maternal depression and parents' reports of their children's problem behaviors. (Contains 54 references.) (Author/KB) Reproductions supplied by EDRS are the best that can be made from the original document. Quality of Classroom Environment and Child Social Behavior U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) 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. The Relationship Between Indicators of the Quality of a Head Start Classroom Environment and Ratings of Child Social Behavior Richard Lambert University of North Carolina at Charlotte Martha Abbott-Shim Frances McCarty Georgia State University Funding for this effort was provided by the Administration on Children, Youth, and Families, U.S. Department of Health and Human Services, through a grant (Award No. 90YD0016) entitled Research Center on Head Start Quality. Correspondence concerning this paper may be addressed to: Richard G. Lambert, Ph.D., Ed.S. University of North Carolina at Charlotte EART Dept., 3135 Colvard Charlotte, NC 28223-0001 USA rglamber@email.uncc. edu http : / /education.uncc. edu/rglamber
Analyzing the two-dimensional plot of the interannual climate variability for detection of the climate change in the Large Karoun River Basin, Iran

In most studies on climate change, the first problem often faced by the researcher is detecting the climate change of the study area during the past periods and attributing it to the greenhouse gases. In this study, an attempt has been made to introduce a method for detecting the climate change during the past periods in regional scale and attributing it to greenhouse gases with regard to climate processes in a region. For this purpose, at first it is necessary to calculate the interannual variability range of the region climatic variables, resulting from the interaction between the climate systems of the ‘earth’ (atmosphere, biosphere, etc.). Hence, long-term statistics (1000 years) of the temperature and precipitation, resulting from control run (fix greenhouse gases) of AOGCM models (HadCM3 and CGCM3), were used for Large Karoun River Basin. Then, based on the two-variant normal distribution, the interannual climate variability range of the study area was plotted as two-dimensional temperatureprecipitation graphs. Next, the annual temperature and precipitation anomaly values of the observation stations in different regions of Large Karoun River Basin were compared with the region interannual variability range for detecting the climate change of the study area during the past and attributing it to greenhouse gases. The results show increase in temperature and decrease in precipitation trends, denoting the fact that the temperature variable has been influenced by the climate change. So, in all regions of the Large Karoun River Basin, the final years of the period (1971 to 2009) have almost been located outside the interannual climate variability range, indicating the effect of climate change on the climatic variables of the said years. Key words: Interannual climate variability, detecting the climate change, AOGCM models, Large Karoun River Basin.
Close-ups from afar: the nature of the informal venture capital market in a spatial context

The availability of external equity finance is one of the vital conditions for emergence and growth of young entrepreneurial firms. Yet, the access to finance is both limited and unevenly distributed in geographical space. At the same time, there is anecdotal evidence that the informal venture capital market plays a significant role in providing small-scale geographically dispersed finance to entrepreneurial ventures in early development stages. However, our knowledge about the nature and geographical characteristics of informal venture capital market is very limited. The overall purpose of this dissertation is to develop knowledge of the nature of the informal venture capital market in a spatial context. First, the dissertation aims to contribute to our knowledge of the informal venture capital phenomenon, by developing the understanding of different cohorts of informal venture capital investors. Second, it aims to explore the characteristics and the scope of the informal venture capital market in relation to its potential to bridge the financing gap, and particularly the regional equity gap, for young entrepreneurial firms. Third, it seeks to provide theoretical explanations for why informal venture capital exhibits certain locational patterns, and the role geography plays in informal venture capital investing. The analysis presented is based on a large quantitative material of 278 informal venture capital investors in Sweden, complemented by four case studies. This dissertation presents an inquiry into the field of informal venture capital and develops the literature by: (i) broadening the scope of the informal venture capital concept and contributing to definitional clarity, (ii) exploring the magnitude and the geographical characteristics of the informal venture capital market in Sweden, and (iii) developing our understanding of the role of proximity in informal venture capital investing. (Less)
Single Nucleotide Polymorphisms in the Wheat Genome Associated with Tolerance of Acidic Soils and Aluminum Toxicity

Aluminum toxicity is a major yield constraint of wheat (Triticum aestivum L.) in acidic soils, which compose a significant area of Earth’s arable land. There is natural variation in wheat’s Al tolerance and a tolerance gene on chromosome 4D named ALMT1 has been cloned and characterized. Some wheat populations, however, show much variation in acidic field tolerance that is not explained by known major Al tolerance loci. This study was conducted to discover new loci that condition wheat’s tolerance of low soil pH with the ultimate goal of DNA marker development for expedited tolerance breeding and selection. To this end, two diverse populations of the US Pacific Northwest (PNW)-adapted winter wheat were genotyped on recently developed 9K and 90K single nucleotide polymorphism (SNP) genetic marker platforms and phenotyped in three low-pH, Al-toxic field settings. The first population consisted of 459 accessions of soft white wheat. The second population, which was further phenotyped hydroponically, consisted of 401 accessions, some of which were soft white and some hard red. Genome-wide association studies (GWAS) uncovered a total of 55 loci, 15 of which were common to both populations. The molecular marker wmc331, linked to ALMT1, was analyzed in both populations, revealing only eight individuals with the favorable allele. We found that the unique germplasm examined in this study has novel sources of low-pH tolerance that could be exploitable in the development of wheat cultivars that are tolerant of soil acidity and Al toxicity. Dep. of Crop and Soil Sciences, Washington State Univ., Pullman, WA 99164-6420. Received 15 Oct. 2015. Accepted 15 Mar. 2016. *Corresponding author (ahcarter@wsu.edu). Abbreviations: GWAS, genome-wide association studies; LD, linkage disequilibrium; PCR, polymerase chain reaction; PNW, Pacific Northwest; PopA, Population A; PopB, Population B; QTL, quantitative trait locus; SNP, single nucleotide polymorphism; SS, sum of squares. Published in Crop Sci. 56:1662–1677 (2016). doi: 10.2135/cropsci2015.10. 0629 © Crop Science Society of America | 5585 Guilford Rd., Madison, WI 53711 USA This is an open access article distributed under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Published May 27, 2016
Multimodal analysis of film within the gem framework

In this paper, the predominantly visual framework developed for the analysis of static multimodal documents within the Genre and Multimodality project ‘GeM’ is considered as a foundation for treating non-static multimodal artifacts. The paper introduces the original framework and characterizes how it can be beneficially extended to work with the moving audio-moving image. Several illustrations of the new framework’s application to narrative film are presented in order to show how it may provide stronger support for empirical investigations of artifacts of this kind.
Improvement of phasor measurement unit performance

Fast measurements of the instantaneous amplitude and phase angle of the fundamental components and frequency in three-phase power systems may be investigated with high accuracy through the use of modern power instruments such as Phasor Measurement Unit (PMU). However, this accuracy may be affected by several encountering power disturbances, such as abrupt frequency deviation, fast and slow dc offsets decaying due to sudden current changes, inter-harmonics, etc. To avoid these effects for improving the quality of measurements, this work presents a new method of real-time filtering for removing the unwanted DC offset and hence improving SDFT algorithm. To validate the proposed method, the performances of PMU are tested using the data generated by Simulink/MATLAB simulator. The obtained results are very encouraging.
MALAYSIAN WEB SEARCH ENGINES: A CRITICAL ANALYSIS

This paper reports the results of a study conducted to explore and compare the features of independently built Malaysian Web search engines, as well as evaluate their performance and search capabilities. Four Malaysian independently built search engines were chosen for the study and Google served as the benchmark engine. This study applied two co-related methodologies, namely Information Retrieval Evaluation Methodology and common features comparison. The Information Retrieval Evaluation Methodology measures include search capabilities, retrieval performance (recall & precision) and user effort. Results show that each search engine portrays different strengths and weaknesses. Malaysia Directory appears to be the best Malaysian Web search engine in term of feature presentation but fails in term of retrieval performance; whereas Malaysia Central managed to score the highest for mean precision but failed to excel in terms of feature presentation. SajaSearch outperformed Cari in most related documents, even though Cari did return the highest total hits. Overall comparison with Google leaves Malaysian search engines with much to improve on in terms of performance and search capabilities. Implications for the design of Malaysian Web Search Engines are also discussed.
Evaluation of Factors Affecting Chemical Extraction of Co Ions from Contaminated Soil

Excessive concentrations of cobalt (Co) ions in the soil cause quality degradation and pose a significant hazard to biota. One of the options for the permanent separation of the pollutant from soil matrix is extraction by chemical reagents. In this study, response- surface methodology (RSM) was applied to evaluate the factors affecting Co extraction from contaminated calcareous soil. Solutions of disodium ethylenediaminetetraacetate (Na 2 EDTA), citric acid (CA), and HCl were considered as leaching media. Reagent concentration, soil to solution ratio, and extraction time were selected as process vari- able, while Co extraction efficiencies and final pH values of extracts were the measured responses. The effect of factor variation between three levels was studied using Box- Behnken experimental design. By statistical analysis, the most influential factors were determined for each reagent, and the model equations were proposed for the prediction of system responses. Overlaid contour plots were used for the analysis of the effect of process conditions on both responses simultaneously. Given that each case of contami- nation is unique and requires extensive research before the remediation is implemented full-scale, it was shown that experimental design methodology is a smart approach for the assessment and comparison between the treatments. the effect of variation of three factors (concentration of the chemical reagent, soil/liquid ratio, and the contact time between the phases) between three levels was analyzed in respect to extraction efficiency and final pH values. The adequacy of different mathematical models, with inclusion of linear or quadratic terms, was tested for the description of experimental results. The extraction efficiency was highly dependent of the applied chemical reagent. Analysis of variance of the chosen responses revealed that Co separation was predominantly affected by the variation of the reagents concentrations. Effect of applied reagents volume had smaller statistical significance, while the contact time played an important role in the performance of complexing agents. Mathematical models were developed to describe the effect of each independent parameter and their interactions on system response. Predicted values of Co recovery, obtained using model equations, were in good agreement with the experimental data. Treatments by different reagents were compared using overlaid contour plots, taking into consideration extraction efficiencies in near neutral range of final pH values. The results demonstrate limited effect of HCl in cancerous soil, while chelating agents can exhibit high efficiencies by selection of factor