Miracle-dz/UniFAR-FTUs huggingface dataset:
On the Conceptualisation of Modelling Methods Using the ADOxx Meta Modelling Platform

In this paper we analyse the conceptualisation of modelling methods. Thereby we understand, how the components of a specifi c implementation platform support the design of modelling methods. For this purpose we use the ADOxx meta modelling platform and investigate, how four selected functionalities of enterprise information systems for supporting user interaction, process-based optimisation, interfaces to other systems, and complex analyses are realised. We discuss these four functionalities by reverting to excerpts of the visual representation of modelling methods from the areas of requirements engineering, business process management, e-learning, and enterprise architecture management. This permits us to highlight the interdependencies between the modelling language, the modelling procedure, mechanisms and algorithms and the functionalities of the underlying technical platform that have to be taken into account during the conceptualisation.
Uncovering Cellular Network Characteristics : Performance , Infrastructure , and Policies

Mobile Smart Devices (Smartphones and tablets) have become increasingly popular especially in IT based service management companies. According to IDC, more than 70% of executives and sale managers are replacing their PCs with tablets. This is in part due to the agility flexibility and the availability of diverse network-based and support applications. Thus network characteristics directly affect user-perceived performance and a deep understanding of the properties of contemporary cellular networks for commonly used platforms is important for smartphone application and platform optimization. In this work, we carry out the largest study to date of cellular networks in terms of users, time duration, location, and networks to understand the performance, infrastructure, and policy characteristics. With the data set collected from around 100K users across the world over 18 months, MobiPerf, a smartphone network measurement tool we developed and publicly deployed, enables us to analyze network performance along several new dimensions, previously not examined. Our results indicate that with better infrastructure support, large cities appear to have better performance than rural areas. Our case study on packet size’s effect on RTT uncovers a surprising pattern for AT&T’s uplink RTT. We also show that Internet-based CDN service provides very limited latency improvement in today’s cellular networks. We further examine how local DNS servers are assigned to mobile users. In addition, we scrutinize the carriers’ policy towards different types of traffic and successfully identify some middlebox behavior of today’s cellular carriers.
Gluten-Free Diet Only during Pregnancy Efficiently Prevents Diabetes in NOD Mouse Offspring

Studies have documented that the pathogenesis of autoimmune diabetes is influenced by the intake of gluten. Aims. To investigate the importance of gluten exposure during pregnancy and the subsequent development of autoimmune diabetes in offspring. Methods. Nonobese diabetic mice were divided into 7 groups to receive combinations of gluten-free and standard diet before, during, or after pregnancy. Diabetes incidence in offspring was followed in each group (n = 16–27) for 310 days. Insulitis score and intestinal expression of T-cell transcription factors (RT-QPCR) were evaluated in animals from the different diet groups. Results. If mothers were fed a gluten-free diet only during pregnancy, the development of autoimmune diabetes in offspring was almost completely prevented with an incidence reduction from 62.5% in gluten-consuming mice to 8.3% (p < 0.0001) in the gluten-free group. The islets of Langerhans were less infiltrated (p < 0.001) and the intestinal expression of RORγt (Th17) (p < 0.0001) reduced in mice whose mothers were Gluten-free during pregnancy. Conclusion. A gluten-free diet exclusively during pregnancy efficiently prevents autoimmune diabetes development in offspring and reduces insulitis and intestinal expression of RORγt (Th17).
Molecular hydrogen in the circumstellar environments of Herbig Ae/Be stars probed by FUSE

Context. Molecular hydrogen (H2) gas is the most abundant molecule in the circumstellar (CS) environments of young stars. It is thus a key element in our understanding of the evolution of pre-main sequence stars and their environments towards the main sequence. Aims. At the present time, little is known about the gas as compared to the dust in the environments of young stars. We thus observed molecular hydrogen around a sample of pre-main sequence stars in order to better characterize their gaseous CS environments. Methods. The FUSE (Far Ultraviolet Spectroscopic Explorer) spectral range offers access to electronic transitions of H2. We analyzed the FUSE spectra of a sample of Herbig Ae/Be stars (HAeBes) covering a broad spectral range (from F4 to B2), including the mainsequence A5 star β Pictoris. To better diagnose the origin of the detected molecular gas and its excitation conditions, we used a model of a photodissociation region. Results. Our analysis demonstrates that the excitation of H2 is clearly different around most of the HAeBes compared to the interstellar medium. Moreover, the characteristics of H2 around Herbig Ae and Be stars give evidence for different excitation mechanisms. For the most massive stars of our sample (B8 to B2 type), the excitation diagrams are reproduced well by a model of photodissociation regions (PDR). Our results favor an interpretation in terms of large CS envelopes, remnants of the molecular clouds in which the stars were formed. On the other hand, the group of Ae stars (later than B9 type) known to possess disks is more inhomogeneous. In most cases, when CS H2 is detected, the lines of sight do not pass through the disks. The excitation conditions of H2 around Ae stars cannot be reproduced by PDR models and correspond to warm and/or hot excited media very close to the stars. In addition, no clear correlation has been found between the ages of the stars and the amount of circumstellar H2. Our results suggest structural differences between Herbig Ae and Be star environments. Herbig Be stars do evolve faster than Ae stars, and consequently, most Herbig Be stars are younger than Ae ones at the time we observe them. It is thus more likely to find remnants of their parent cloud around them.
Title : Graph Classification in Heterogeneous Networks

Definition Information networks have been intensively studied in recent years, ranging from community detection to graph classification. Typical applications of information networks include web mining, social network analysis, bioinformatics, etc. Most previous research on information networks focuses on homogeneous networks, which involve one type of nodes and one type of links, e.g., social networks with friendship links, webpage networks with hyper-links. With the recent advance in data collection techniques, many real-world applications are facing large scale heterogeneous information networks [12], which involve multiple types of objects interconnected through multiple types links.
Embodied cognitive semantics for quantification

The present paper proposes an operational semantic model of natural language quantifiers (e.g., many, some, three ) and their use in quantified noun phrases. To this end we use embodied artificial agents that communicate in and interact with the physical world. We argue that existing paradigms such as Generalized Quantifiers ( Barwise and Cooper 1981 ; Montague 1973 ) and Fuzzy Quantifiers ( Zadeh 1983 ) do not provide a satisfactory models for our situated-interaction scenarios and propose a more adequate semantic model, based on fuzzy-quantification.
Support Vector Data Description for image categorization from Internet images

Training a classifier for object category recognition using images on the Internet is an attractive approach due to its scalability. However, a big challenge in this approach is that it is difficult to automatically obtain sets of negative samples that are guaranteed to be free of positive samples. In this paper we propose to address this challenge with a Support Vector Data Description (SVDD) classifier. An SVDD classifier does not need negative images in training. It computes a hypersphere around the potentially good images in the feature space and uses this boundary to distinguish images of target visual category from outliers. Evaluation on standard test sets shows that we are able to achieve competitive classification performance using the contaminated training images from the Internet without the need for large datasets of negative examples.
Quality assessment of observational studies in a drug-safety systematic review, comparison of two tools: the Newcastle–Ottawa Scale and the RTI item bank

Background The study objective was to compare the Newcastle–Ottawa Scale (NOS) and the RTI item bank (RTI-IB) and estimate interrater agreement using the RTI-IB within a systematic review on the cardiovascular safety of glucose-lowering drugs. Methods We tailored both tools and added four questions to the RTI-IB. Two reviewers assessed the quality of the 44 included studies with both tools, (independently for the RTI-IB) and agreed on which responses conveyed low, unclear, or high risk of bias. For each question in the RTI-IB (n=31), the observed interrater agreement was calculated as the percentage of studies given the same bias assessment by both reviewers; chance-adjusted interrater agreement was estimated with the first-order agreement coefficient (AC1) statistic. Results The NOS required less tailoring and was easier to use than the RTI-IB, but the RTI-IB produced a more thorough assessment. The RTI-IB includes most of the domains measured in the NOS. Median observed interrater agreement for the RTI-IB was 75% (25th percentile [p25] =61%; p75 =89%); median AC1 statistic was 0.64 (p25 =0.51; p75 =0.86). Conclusion The RTI-IB facilitates a more complete quality assessment than the NOS but is more burdensome. The observed agreement and AC1 statistic in this study were higher than those reported by the RTI-IB’s developers.
WHICH LEADERSHIP STYLE TO USE? AN INVESTIGATION OF CONDUCIVE AND NON-CONDUCIVE LEADERSHIP STYLE(S) TO FACULTY JOB SATISFACTION

The paper aims to investigate which leadership style(s) is/are more conducive and which can be a barrier to faculty job satisfaction in a Pakistani public university context. The study adopted qualitative approach to generate in-depth qualitative data. Fifteen faculty members were interviewed from five campuses out of total thirteen units of the chosen public university. The findings highlight that the participative leadership style and the behaviours associated with transformational style and the first dimension (contingent reward) of transactional leadership are perceived as conducive to faculty job satisfaction. Whereas, the practice of authoritative and laissez-faire leadership styles and the lack of exercise of leadership behaviours related to transformational and transactional (first dimension only) leadership are considered to be barriers to faculty job satisfaction. A cautious use of the findings is suggested because of the context specific nature of the leadership and its practices.
Fragmented Histories, Racial Erasures, and Color-Blindness in Héctor Tobar's The Barbarian Nurseries

Héctor Tobar's novel, The Barbarian Nurseries (2011), portrays Los Angeles as a city of contrasts, paradoxes, and fragmentation. This essay examines representations of architecture, language, and nostalgic objects in The Barbarian Nurseries as commentaries on not only this fragmentation of U.S. society but also what has been left out of cultural and historical narratives in the United States that renders them incomprehensible and fragmentary: race and racism. Somewhat paradoxically, Tobar shows how different forms of (racial) erasure help to create and sustain—not diminish or erase—racial hierarchies. Ultimately, this essay seeks to understand Tobar's discussion of the erasures of race and racism in The Barbarian Nurseries as a response to and critique of popular discourses and racial ideologies of color-blindness circulating in contemporary U.S. culture.Resumen:La novela de Héctor Tobar, The Barbarian Nurseries (2011), retrata a Los Angeles como una ciudad de contrastes, paradojas y fragmentación. Este ensayo examina las representaciones de la arquitectura, el lenguaje y los objetos nostálgicos en la novela como comentarios sobre no solo esta fragmentación de la sociedad estadounidense sino también lo que se ha omitido de las narrativas culturales e históricas en los Estados Unidos, así produciendo estas narrativas incomprensibles y fragmentarias: la raza y el racismo. Por paradójico que sea, Tobar muestra cómo diferentes tipos de supresiones (raciales) ayudan a crear y sostener—no disminuir ni eliminar—las jerarquías raciales. Finalmente, este ensayo busca entender la propuesta de Tobar acerca del proceso de la eliminación de la raza y el racismo en The Barbarian Nurseries como una respuesta a y una crítica de discursos populares y nuevas ideologías del daltonismo racial que circulan en la cultura contemporánea estadounidense.
A framework to understand gender and structural vulnerability to climate change in the Ganges River Basin: lessons from Bangladesh, India and Nepal

159 Working Papers The publications in this series record the work and thinking of IWMI researchers, and knowledge that the Institute's scientific management feels is worthy of documenting. This series will ensure that scientific data and other information gathered or prepared as a part of the research work of the Institute are recorded and referenced. Working Papers could include project reports, case studies, conference or workshop proceedings, discussion papers or reports on progress of research, country-specific research reports, monographs, etc. Working Papers may be copublished, by IWMI and partner organizations. Although most of the reports are published by IWMI staff and their collaborators, we welcome contributions from others. Each report is reviewed internally by IWMI staff. The reports are published and distributed both in hard copy and electronically (www.iwmi.org) and where possible all data and analyses will be available as separate downloadable files. Reports may be copied freely and cited with due acknowledgment. About IWMI IWMI's mission is to provide evidence-based solutions to sustainably manage water and land resources for food security, people's livelihoods and the environment. IWMI works in partnership with governments, civil society and the private sector to develop scalable agricultural water management solutions that have a tangible impact on poverty reduction, food security and ecosystem health. Acknowledgements Project This research study was initiated as part of the Gender, vulnerability and adaptation to climate change in the Gangetic Plains project. (CCAFS), which is a strategic partnership of CGIAR and Future Earth. CGIAR is a global research partnership for a food-secure future. The views expressed in this document cannot be taken to reflect the official opinions of CGIAR or Future Earth.
Fast Social Service Network Construction Using Map-Reduce for Efficient Service Discovery

Service discovery and composition are challenging issue of service computing to provide value-added service. Existing approaches by keyword or ontology matching have limitations for locating realistic services discovery and composition considering non-functionality or sociality. On main reason in that approaches are based on isolated services. The isolation hinders efficient discovery and composition of services. Therefore, in the past research, they suggest social linked service network considering relationships of functional and nonfunctional properties, and social interaction based on complex network theory, where they can locate related services through sociability. However, it would be difficult to create social linked service network because services portable devices and sensors has been increasing with progress of Big Data technology. In this paper, we propose creating social linked service network to improve performance of network construction as considering distributed process on Big Data infrastructure. First, we propose an algorithm that creation network graph using Map Reduce parallel programming model. Finally, experimental results show that our creating network using Map Reduce approach can solve the heavy computation load for many calculations of network elements.
Exploring the Relationship Between Athletes’ Perceptions of the Motivational Climate to Their Compassion, Self-Compassion, Shame, and Pride in Adult Recreational Sport

ABSTRACT The purpose of this study was to examine the relationships between athletes’ perceptions of the motivational climate (caring, task-, and ego-involving) to their levels of compassion, self-compassion, pride, and shame in a recreational sport setting. Athletes (N = 164) in a competitive Wiffle Ball tournament completed a survey. A canonical correlation analysis revealed one significant function indicating that athletes’ perceptions of a caring and task-involving motivational climate were associated with higher levels of authentic pride and lower levels of hubristic pride. Results suggest adult recreational sport participants may benefit from experiencing a positive and supportive team climate.
Modelling Immunological Systems using PEPA: a preliminary report

Computer Science techniques are increasingly being used to describe biological systems. There are three advantages: the process of formalising the system can lead to deeper understanding through having to make assumptions explicit; formal analysis can be carried out, leading to discovery of previously unknown system properties; and experiments can be carried out in silico, usually much more quickly and cheaply than in the laboratory, allowing in vivo experiments to be guided towards the most focussed hypothesis tests [7]. Process algebra is one of the modelling methodologies achieving some success in this arena [1, 2, 9, 11] because of its ability to represent systems in an abstract and modular fashion. Immunological systems are ideally suited to modelling using process algebra. In many ways the immune system is a black box; although many of its inputs and outputs are known, exactly how the system achieves its function is the subject of much investigation. Laboratory experiments have provided large quantities of data, allowing components within the black box to be identified, but there remain many details to be uncovered about the exact details of how components carry out their functions, or on the nature of interaction between components. There are so many potential variables in such systems that exhaustive testing to establish these details is not feasible. Process algebras are ideally suited to describing immunological systems at this level: they may be viewed as networks of (many) interacting components, where the components themselves may have complex, nondeterministic, individual behaviour. In addition, use of process algebra gives access to a range of investigatory techniques, including simulation, verification via logical properties, and transformation from an individual-based discrete state space to a population-based continuous state space via derivation of Ordinary Differential Equations. Through modelling, different hypotheses about the biology of the systems may be investigated, providing focus for future laboratory experiments. The goal of the current work is the novel application of process algebra to immunological systems. The particular process algebra adopted here is PEPA (Performance Evaluation Process Algebra) [6].
Long-Lasting Reconfiguration of Two Interacting Networks by a Cooperation of Presynaptic and Postsynaptic Plasticity

The functional reconfiguration of central neuronal networks, a phenomenon by which neurons change their participation in network operation, is important for organizing adaptive behaviors. Such reconfiguration can be expressed in a long-lasting manner (hours, days) after a training paradigm. The present study shows that such a long-lasting network reconfiguration requires a cooperation of both presynaptic and postsynaptic modifications in a neuronal interaction between two functionally distinct networks. In isolated preparations of the lobster stomatogastric nervous system, the single ventral dilator (VD) neuron can switch its functional participation from one discrete network (the pyloric network) to another (the cardiac sac network). This switching capability can be long-lasting and can be induced by a sensitizing procedure. A persistent change that was associated with this neuronal switching was found in each of the two networks. First, the intrinsic membrane properties of the VD neuron that allow it to participate spontaneously in the pyloric network are altered. Second, bursting activity is strengthened in the inferior ventricular neurons that both drive cardiac sac network activity and monosynaptically excite the VD neuron in phase with this network activity. Importantly, these changes in intrinsic properties of both presynaptic and postsynaptic neurons are required to allow the VD neuron switching, because expression of either the presynaptic or the postsynaptic change alone did not permit VD neuron switching to occur. These results suggest that a cooperative modification of a discrete network interaction is able to persistently switch the output pattern of a motor neuron as a result of a sensitizing paradigm.
GaN-Based FETs for Microwave Power Amplification

We review advances in GaN-based microwave power field-effect-transistors (FETs). Evolution in device technology included metal-semiconductor-field-effect-transistors (MESFETs), heterostructure-field-effect-transistors (HFETs), modulation-doped-field-effect-transistors (MODFETs) or highmobility-transistors (HEMT), HEMTs with high Al contents, HEMTs with gate recess and GaN-channel HEMTs grown on SiC substrates. The power density was first reported as 1.1 W/mm at 2 GHz using an AlGaN/GaN HEMT structure grown on sapphire substrate, and was subsequently improved to 1.5–1.7 W/mm at 4–10 GHz by refinement in device structure and processing techniques. This was advanced to 2.6–3.3 W/mm at 8–18 GHz by adopting a high-Al-content AlGaN barrier layer. Success in gate recess helped to further increase the power density of these GaN HEMTs on sapphire substrates to 4.6 W/mm at 6 GHz. Substrate replacement of sapphire by SiC, for excellent thermal dissipation, has boosted performance to 6.9 W/mm at 10 GHz, which is higher than GaAs-based FETs by a factor of 6. Device periphery was scaled up to obtain high total output power. On one hand, GaN HEMTs on sapphire, using a flip-chip bonding technology for thermal management, have generated 7.6 W at 4 GHz. On another hand, GaN HEMTs on SiC, taking advantage of the high substrate thermal conductivity, have achieved 9.1 W at 7.4 GHz. Two types of initial GaN-based power amplifiers were also demonstrated using a flip-chip IC scheme. The transistors used were 0.7 to 0.8-μm-long-gate GaN HEMTs. Bandwidths of 1–8 GHz and 3–9 GHz were achieved with gains up to 11.5 dB. The output power levels ranged from 3.2 to 4.6 W using devices with 2 and 3-mm gate peripheries, which were higher than that achievable with GaAs-based HEMTs of the same size by a factor of 2. Traps in the device structure currently limit performance of most GaN FETs. These traps cause dispersion in the I-V characteristics, which increases knee voltage and reduces channel current under RF gate drive. However, they are believed to be not inherent in the GaN semiconductor system and can be minimized as the technology matures. key words: GaN, FET, HEMT, power device, ampli er, microwave