Miracle-dz/UniFAR-FTUs huggingface dataset:
Linking chlorophyll-nutrient dynamics to the Redfield N:C ratio with a model of optimal phytoplankton growth

The Redfield N:C ratio is a fundamental quantity in marine biogeochemistry because it is a key determinant of the efficiency of the biological carbon pump, yet no convincing explanations have been put forward for its remarkable constancy over much of the world ocean. Phytoplankton growth models have so far been unable to account for the different relationships between growth rate and N:C ratio under nutrient and light limitation, and have not been able to predict the Redfield N:C ratio. A relatively simple model of coupled chlorophyll and nutrient dynamics is developed from the premise that phytoplankton maximize growth by optimally allocating nutrient and energy resources among com- peting metabolic requirements for nutrient uptake, light-harvesting, and growth. The model reconciles nutrient and light limitation and appears valid under both balanced and non-balanced growth condi- tions. The Redfield N:C ratio and its constancy are explained as a result of evolutionary pressure towards maximizing light-limited growth rates in relatively carbon-rich oceanic waters.
Growth of Chrysanthemum Explants on MS Medium Sterilized by Disinfectants and Essential Oils

A sterile condition of culture medium is one of the main aspects for micropropagation. The alternative technique for medium sterilization to replace autoclaving was carried out. For sterilization of Murashige and Skoog (MS) medium, commercial essential oils, disinfectants or in combinations were tested. Each essential oil or disinfectant or combination was added to a 20-mL medium in a 120-mL container, kept for 2 weeks before evaluating sterile conditions. Treated media were compared to control medium, autoclaved at 121 degree Celsius for 15 min. Sterile conditions of MS medium were found 100% from 10% povidone-iodine (108 L), 6% sodium hypochlorite (36 L), 2% iodine + 2.4% potassium iodide (36 L), while 95% sterile conditions were obtained from 2% iodine + 2.4% potassium iodide in combination with 10% povidone-iodine (ratio 1 : 1 at 36 L and ratio 1 : 3 at 72 L), 10% povidone-iodine in combination with lemon oil (ratio 3 : 1, 108 L) compared to 100% sterile conditions from autoclaved medium. Effects of these treated media on growth of chrysanthemum shoot and node explants were investigated. It was found that growth of explants on medium treated with 10% povidone-iodine or 2% iodine + 2.4% potassium iodide alone or in combination with 10% povidone-iodine (ratio 1 : 1) or 6% sodium hypochlorite was comparable to those on autoclaved medium.
Technical Efficiency of the Generation of Knowledge in the European Union (2003-2010)

Abstract This paper analyses the determinants of knowledge in the European Union of the 27, through estimates of transcendental logarithmic production functions (translog) in different scenarios. For this, a data panel for the period 2003-2010 has been elaborated, selecting the production stochastic frontier as the most reliable model to estimate technical efficiency for European innovation. The empirical result is that technological capital, human capital and relational capital have a positive and significant influence on the generation of knowledge. Also, from the observation of results we can assure that the size (in terms of population) of a country within the EU-27 does not positively influence the technical efficiency of knowledge production. This is an empirical study about the relationship between the determinants of knowledge and the technical efficiency of the generation of knowledge, and such a study does not exist in literature for the EU-27 in the period analysed.
College Students ’ Friendship Quality Mr

The significance of friend support in the lives of individual’s has been evidenced by psychological research across different age groups. Having friends was correlated with a sense of well-being across one’s life span and that the developmental outcome depended on the quality of the friendship. This study was aimed at identifying quality of friendship among some selected college students using the friendship quality scale. Samples of 401 college students were selected using proportionate sampling techniques from four colleges in Ethiopia and standardized Friendship Quality Scale (FQS) was administered to the samples. Finally, the data was analysed via descriptive statistics (mode). The analysis showed weak quality friendship among college students in its entirety. However, among the four dimensions, separately the help dimension merely contributed higher percentage (69.3%) to the relationship of college students followed by acceptance (47.1%). With respect to the remaining two dimensions (safety and closeness), the friendship is weaker and accounted for 40.6% and 48.6% respectively. Therefore, this study showed that cooperation and support given among college students were mostly academic type. In non-academic spheres of life, these students are not interested to cooperative each other due to lack of both trust and attachment (i.e. closeness).
An Automated Approach for Finding Course-specific Vocabulary

Mark Chignell is a professor of Mechanical and Industrial Engineering at the University of Toronto where he has been on the faculty since 1990. Prior to that he was an assistant professor in Industrial and Systems Engineering at the University of Southern California from 1984 to 1990. He earned the Ph.D. in Psychology from the University of Canterbury in New Zealand in 1981, and an M.S. in Industrial and Systems Engineering from Ohio State in 1984. Mark is currently president of Vocalage Inc., a University of Toronto spinoff company, director of the Interactive Media Lab, and a visiting scientist at both the IBM Centre for Advanced Studies and Keio University in Japan.
A Multi-dimensional Exploration of the Decision Process Using Correspondence Analysis

A method of analysing rank-order contributions to a decision process using Multiple Correspondence Analysis (MCA) is presented. This procedure is compared to the traditional methods of analysing this type of data, the main results of which are replicated in the MCA study. The proposed MCA procedure however provides a much richer understanding of the relationship between the decision factors and the decision outcome through the higher dimensionality of the solution. Also, an indication of the completeness of the solution is obtained. Some limitations of the data remain, notably the treatment of unranked items.
Waiting Times and Defining Customer Satisfaction

Review of literature shows that there is no agreement about the definition of probably the most important, variable Satisfaction/Dissatisfaction. Satisfaction /Dissatisfaction equals Expectation minus Perception is the most widely used definition today. In this definition, there are a number of issues that have to be resolved. First, what exactly Satisfaction is? Is it disconfirmation? That is the gap between expectation and perception. Is it expectation? Or, is it perception? Further, there is no concrete definition about the expectation. Is it predicted service? Is it adequate service? In this study, the definition of satisfaction/dissatisfaction was tested using continuous variables expected waiting time, perceived waiting time, prior predicted waiting time, posterior predicted waiting time and the acceptable waiting time. Study found that disconfirmation between expected waiting time and the perceived waiting time is the best definition for satisfaction/dissatisfaction followed by expected waiting time and perceived waiting time. However, the influence of perceived waiting time is nearly negligible. Therefore, defining satisfaction/dissatisfaction as disconfirmation between expectation and perception is most appropriate. Furthermore, the study found that expectation is not prediction and is also not the acceptable (adequate) service. Keywords Expectation, Perception, Satisfaction, Waiting Time
Efficacy of Three Different Plant Species for Arsenic Phytoextraction from Hydroponic System

Arsenic (As) is one of the heavy metals which causes acute bio-toxicity even at low concentration and has disastrous effect on en- vironment. In some countries, As contamination has become alarming and increasing day by day as consequences of unsustainable management practices. Many existing physical, chemical and biological processes for As removal from water system are not feasible due to techno-economic limitations. The present study highlights the scope of biological strategy for As removal through phytoextraction. Arsenic uptake and accumulation in the biomass of three plant species and their As tolerance abilities have been investigated to develop an efficient phytoextraction system in combination of these plant species. Three non-crop plant species, Pteris vittata; Mimosa pudica, and Eichhornia crassipus were treated with 0-200 mg/L As in liquid nutrient solution for 14 days. P. vittata accumulated total 9,082.2 mg (8,223 mg in fronds) As/kg biomass and Eichhornia total 6,969 mg (4,517 mg in fronds)/kg biomass at 200 mg/L As concentration, respectively. Bioaccumulation factor (BF) and translocation factor (TF) were estimated to differentiate between excluders, accumula- tors and accumulation in above ground biomass. Pteris and Eichhornia have highest BF (67 and 17) and TF (64 and 3), respectively. In contrast, Mimosa accumulated up to 174 mg As/kg plant biomass which is low in comparison with other two plants, and both BF and TF were ≤1. This study reveals that Pteris and Eichhornia are As hyperaccumulator, and potential candidates for As removal from water system.
Title Interlinking Developer Identities Within and Across OpenSource Projects : The Linked Data Approach

Software developers use various software repositories in order to interact with each other or to solve related problems. These repositories provide a rich source of information for a wide range of tasks. However, one issue to overcome in order to make this information useful is the identification and interlinking of multiple identities of developers. In this paper, we propose a Linked Data-based methodology to interlink and integrate multiple identities of a developer found in different software repositories of a project as well as across repositories of multiple projects. By providing such interlinking will enable us to keep track of a developer’s activity not only within a single project but also across multiple projects. The methodology will be presented in general and applied to 5 Apache projects as a case study. Further, we show that the few methods suggested so far are not always appropriate to overcome the developer identification problem. Keywords-Linked Data; Software Engineering; FLOSS Repositories; Data Integration; Developer Identities
A COMPUTATIONALLY CHEAP TRICK TO DETERMINE SHADOW IN A VOXEL MODEL

Abstract. Representation of scenes on the Earth surface by using voxels is gaining attention because of its suitability for integrating heterogeneous data sources in simulations and quantitative models. Computation of shadows in such models is needed, for example, to obtain crop suitability of agricultural fields in the presence of trees and buildings, or to analyze urban heat island causes and effects. We present an efficient algorithm to compute which of the voxels in a dataset receive direct sunlight, given the solar azimuth and elevation angles. The algorithm can work with multiple (sparse and dense) voxel storage strategies.
The PIPE Model and Core Tools for Teaching Innovation and Entrepreneurship in Chinese universities

There are quite a few questions related to entrepreneurship education (EE). For example, why do we teach entrepreneurship? What to teach? How to teach, How to assess the learning? Many previous studies answered the question about why. These papers aim to address the questions on what and how. This paper reports a PIPE Model (Problem-Idea-Product-Enterprise) which aims to motivate and inspire students to actively learn along the process from discovering problems, generating new ideas, proposing new products to planning new enterprises. It has been enriched by considering Chinese culture along the process of teaching and learning entrepreneurship. The PIPE model has been implemented at City University of Hong Kong for over 10 years and a MOOC course was recently launched based on the PIPE model. A MOOC course was designed on the PIPE model as well. It was shared in over 100 seminars and workshops in Chinese universities as well as other Asian countries. It is easier to be adopted and implemented.
Turning customer feedback into a product improvement resource

A good customer feedback process is seen as a key contributor for quality improvements, new product success rate and corporate profitability. Still many companies struggle or fail in the process; they collect data, but do not turn it into a product improvement resource. In literature there is much emphasizes on customer focus but not much hands on instruction on how to utilize customer‟s feedback. The purpose of this thesis is to elaborate on different practices for obtaining and analyzing customer feedback. The focus is on customer complaint handling, how it can be used for improvement work and what the biggest problems are in doing so. Through literature review and a case study at a medium sized mechanical company a study on complaint handling and customer feedback system was conducted. The findings suggest that the biggest problems in using complaint data for improvements are concerned with costs being visible and immediate while benefits are long-term and indirect, customers, who experience problems, often do not complain and companies tend to behave in a defensive way towards complaints. At the case company, it was found that management support and communication between different departments needed to be more comprehensive. A structured process for handling feedback from customers was not in place and classification system for incoming claims and comments was unsuitable and hindering further analysis. Complaint data needs to be supplemented by other sources of customer feedback and a strategy for the complaint handling should be in place. A customer feedback process has to start with clear objectives. The feedback sources have to be chosen with the objectives in mind, internal reference databases such as sales figures, complaints and comments from customers should be exhausted for economic reasons and supplemented by other research methods as needed. Data from all sources has to be analyzed together and root causes need to be found. When biggest issues have been revealed, it is important to communicate findings in an effective way. A culture of knowledge sharing has to be in place at the organization for this to be possible.
Detection of an asymmetry in the envelope of the carbon Mira R Fornacis using VLTI/MIDI ,

Aims. We present a study of the envelope morphology of the carbon Mira R For with VLTI/MIDI. This object is one of the few asymptotic giant branch (AGB) stars that underwent a dust-obscuration event. The cause of such events is still a matter of discussion. Several symmetric and asymmetric scenarios have been suggested in the literature. Methods. Mid-infrared interferometric observations were obtained separated by two years. The observations probe different depths of the atmosphere and cover different pulsation phases. The visibilities and the differential phases were interpreted using GEM-FIND, a tool for fitting spectrally dispersed interferometric observations with the help of wavelength-dependent geometric models. Results. We report the detection of an asymmetric structure revealed through the MIDI differential phase. This asymmetry is observed at the same baseline and position angle two years later. The observations are best simulated with a model that includes a uniform-disc plus a Gaussian envelope plus a point-source. The geometric model can reproduce both the visibilities and the differential phase signatures. Conclusions. Our MIDI data favour explanations of the R For obscuration event that are based on an asymmetric geometry. We clearly detect a photocentre shift between the star and the strongly resolved dust component. This might be caused by a dust clump or a substellar companion. However, the available observations do not allow us to distinguish between the two options. The finding has strong implications for future studies of the geometry of the envelope of AGB stars: if this is a binary, are all AGB stars that show an obscuration event binaries as well? Or are we looking at asymmetric mass-loss processes (i.e. dusty clumps) in the inner part of a carbon-rich Mira?
Policy Evaluation in Macroeconometric Doubly Stochastic Models

We consider descriptive macroeconometric models with random coefficients in order to capture the possible relationship between the coefficients in the equations of the variables under the (partial) control of the authorities and those in the behavioral equations as observed in the rational expectation framework. This relationship is the main element of the Lucas Critique. This model family allows us to test for the immunity to this critique and implicitly for the presence of contemporaneous breaks as in the approach proposed by Hendry [1988] and Engle and Hendry [1993]. When the immunity is rejected, we then can also propose a measure of the consequences of some particular changes in the coefficients involved in the policy equation on modeled macroeconomic variables. We illustrate this approach on French data. Starting from descriptive considerations, we specify a system of linear equations with random coefficients to study the response of the French household consumption to the changes in monetary policy linked to the entry in EMS and the Maastricht Treaty.
Correlation analysis methods for real-time localisation of magnetic islands in fusion plasmas

Magnetohydrodynamical (MHD) instabilities like neoclassical tearing modes (NTMs) affect the confinement properties of a tokamak in a negative way. The lack of current density grows magnetic islands and thus leads to further decrease of bootstrap current density. Self-amplification of the instability occurs up to the point where other stabilising effects finally limit the island growth. In order to be able to take countermeasures by external means, precise knowledge about the location of the mode needs to be available in real-time. Four different techniques for locating modes are examined. They are compared using experimental data and a synthetic plasma model which features reproducible and controllable conditions. A technique based on dual phase lock-in amplification emerges as the most favourable one. Its ability to track an NTM in real-time is demonstrated in this work. A method for NTM-phase locked ECCD modulation is also derived and tested for self-consistency using synthetic data.
A Case Study of K-Water Public Relations Campaign in Korea

Corporations are increasingly focused on their social impact; thus, they seek to enhance their social images through acts of corporate social responsibility (CSR). To this end, corporations raise public awareness of their positive social returns via various mass media vehicles. In this research, we analyzed the public relations strategy for Korea Water Resources Corporation (K-Water) by identifying a synergistic combination of media vehicles to improve the company's social image and to inform stakeholders of the Gyeongin Ara Waterway's environmental and economic contributions. K-Water is one of the most famous public corporations in Korea; currently, it relies on four mass media vehicles (television, newspapers, magazines, and the Internet) for public relations communications. Structural equation modeling (SEM) was used to analyze which combination of mass media vehicles worked best in informing stakeholders of the environmental friendliness of the Gyeongin Ara Waterway.
WHO ARE ‘I’? WHO ARE ‘WE’? A STATE-OF-THE-ART REVIEW OF MULTIPL

200 he changes experienced in the last two decades in work and organizational contexts have increased the prominence of multiple identities. The grammatical incorrectness of the first part of the title of this article is deliberate. It alludes to a double process of multiple identities (Pratt, 2001), since it refers both to the diverse identities that a worker may experience as a result of their identifications and self-categorizations (Miscenko & Day, 2016), and to the diversity of organizational identities that can coexist based on the differences granted by its members about what is defining, central and distinctive in the organization (Pratt & Foreman, 2000). In the first case, we speak of multiple individual identities, and in the second, multiple organizational identities. The emergence of both types of multiple identities is due, fundamentally, to the increase of diversity within organizations (Shore, Chung-Herrera, Dean, Ehrhart, Jung, Randel, & Singh, 2009). This term refers to two types of diversity. Firstly, that related to belonging to a social category or a group based on a shared characteristic, such as gender, ethnicity/race, age, religion, national origin, family status, association membership or disability; the first three are considered visible, and the others are non-visible, although disabilities can be of both types (Clair, Beatty, & Maclean, 2005). And secondly, the term refers to functional diversity, i.e., the characteristics related to what a person is capable of doing. The latter includes several categories, such as knowledge, skills and abilities; values, beliefs and attitudes; and personality characteristics, or cognitive, emotional and behavioral tendencies (Schneider & Northcraft, 1999). Evidently, the characteristics of diversity are not unique or, in many cases, exclusive, so people perceive themselves and their environment based on the different identities or self-categorizations relevant to them. As a result of the increase in diversity in organizations relative to both types of diversity, their members tend to perceive themselves and others as having multiple identities and they perceive their organizational context differently from their peers and superiors. Multiple identities constitute the area that has generated the most research in the last two decades in the field of identity and identification at work (Miscenko & Day, 2016). The goal of this paper is twofold. It presents a review of the state of research and professional practice, firstly, regarding the role played by multiple individual identities and their consequences; and secondly, regarding the processes involved in the multiple organizational identities and their consequences. The article concludes with a series of practical implications and future lines of research and intervention in relation to both phenomena.