Modelling perturbations propagating through the mesopause into the earth's upper atmosphere

Global oscillations formed in the terrestrial troposphere, stratosphere and mesosphere propagate into the thermosphere and ionosphere where they change the dynamics, energy and composition. This thesis presents a series of studies which examine in detail the nature and influence of solar tides and the planetary 2-day wave above 80 km altitude. The Coupled Thermosphere-Ionosphere Model (CTIM) calculates self-consistently the dynamics, energy and composition of the terrestrial thermosphere and ionosphere in three dimensions and is used as the main tool in these studies. In order to simulate the upwardly propagating perturbations which are formed outside the height range of the model, the lower boundary of the CTIM at 80 km height was modified to allow the global profiles of pressure-, wind- and temperature oscillations to be specified. In principle, following the modification, any such profile can be used for the external forcing as long the parameters at the lower boundary' are self-consistent. One effective method of achieving this is to specify global perturbations of geopotential height, using Hough functions for the latitudinal structure, and calculating the simultaneous wind- and temperature oscillations at the lower boundary analytically with expressions from Classical Tidal Theory. The necessary formalism for this has been fully implemented. For validation of the new code a series of comparisons with other numerical models and Incoherent Scatter Radar measurements at equinox and solstice are presented and show that CTIM is capable of reproducing many tidal features found in the "real" thermosphere. A further study is presented which investigates processes causing planetary' wave signatures in the ionosphere. It is found not only that CTIM reproduces some key properties of upwards propagating planetary waves found in other theoretical and modelling studies, but also that upwards propagating tides may, through modulation of their amplitudes, carry planetary wave signatures into the 200 km height regime where they are transferred into the ionosphere by chemical processes. The new CTIM thus offers the possibility of carrying out many unprecedented studies exploring the nature of the Earth's upper atmosphere

Plant Transcription Factors @ uni-potsdam.de

We present the Plant Transcription Factor Database (PlnTFDB), and the putative complete set of TFs in the algae _Chlamydomonas reinhardtii_, _Ostreococcus tauri_ and the vascular plants _Oryza sativa_ and _Arabidopsis thaliana_

Predicting Research Productivity in International Evaluation Journals across Countries

Background: Progress in evaluation research depends on the continuous generation of scholarly knowledge and its dissemination in the community. One way of disseminating findings is to publish in scientific journals and researchers, institutions, and even whole countries are assessed by their output in these journals. Particularly with regard to countries, there is an uneven distribution of research productivity in evaluation journals. A viable model for predicting countries’ research output in international evaluation journals, however, has not yet been developed. Purpose: The purpose of this study was to develop and test a model for the prediction of countries’ research output in international evaluation journals by predictors from the research, economic, and social/political system. Setting: NA Intervention: NA Research Design: A cross-sectional design was used for predicting research output in evaluation journals across countries. Data Collection and Analysis: Our sample consists of 65 countries that made contributions to ten international peer-reviewed evaluation journals. We collected data for the period from 2009 to 2013 and predicted the number of authorships across countries by using boosted regression trees, a machine learning procedure. Findings: Our model provided accurate predictions of countries’ research output. Research productivity in the social sciences had the strongest effect, followed by economic prosperity, control of corruption, and age of evaluation society. The model was generalizable to another period of time with only marginal loss in predictive accuracy

The Impact of Personality on Requirements Engineering Activities: A Mixed-Methods Study

Context: Requirements engineering (RE) is an important part of Software Engineering (SE), consisting of various human-centric activities that require the frequent collaboration of a variety of roles. Prior research has shown that personality is one such human aspect that has a huge impact on the success of a software project. However, a limited number of empirical studies exist focusing on the impact of personality on RE activities. Objective: The objective of this study is to explore and identify the impact of personality on RE activities, provide a better understanding of these impacts, and provide guidance on how to better handle these impacts in RE. Method: We used a mixed-methods approach, including a personality test-based survey (50 participants) and an in-depth interview study (15 participants) with software practitioners from around the world involved in RE activities. Results: Through personality test analysis, we found a majority of the practitioners have a high score on agreeableness and conscientiousness traits and an average score on extraversion and neuroticism traits. Through analysis of the interviews, we found a range of impacts related to the personality traits of software practitioners, their team members, and external stakeholders. These impacts can be positive or negative, depending on the RE activities, the overall software development process, and the people involved in these activities. Moreover, we found a set of strategies that can be applied to mitigate the negative impact of personality on RE activities. Conclusion: Our identified impacts of personality on RE activities and mitigation strategies serve to provide guidance to software practitioners on handling such possible personality impacts on RE activities and for researchers to investigate these impacts in greater depth in future.Comment: Accepted to Empirical Software Engineering Journa

Enablers and Barriers of Empathy in Software Developer and User Interaction: A Mixed Methods Case Study

Software engineering (SE) requires developers to collaborate with stakeholders, and understanding their emotions and perspectives is often vital. Empathy is a concept characterising a person's ability to understand and share the feelings of another. However, empathy continues to be an under-researched human aspect in SE. We studied how empathy is practised between developers and end users using a mixed methods case study. We used an empathy test, observations and interviews to collect data, and socio technical grounded theory and descriptive statistics to analyse data. We identified the nature of awareness required to trigger empathy and enablers of empathy. We discovered barriers to empathy and a set of potential strategies to overcome these barriers. We report insights on emerging relationships and present a set of recommendations and potential future works on empathy and SE for software practitioners and SE researchers

Design of a tourist driven bandwidth determined MultiModal mobile presentation system

In this paper we report on first experiences with a new software architecture for agent toolkits. Agent toolkits mainly consist of a software system that defines an agency, which is responsible to host software agents. Most architectures developed so far already define a large set of services, for example for agent migration, communication, and tracking. We propose to employ a kernel-based approach, where the kernel only provides fundamental concepts and functions common in all toolkits and abstracts from any of these services. We were able to show that in particular agent migration can be implemented as an optional service. We believe that this architecture is a useful foundation for research on agent-related topics as it allows research groups to implement their own results as a service which can be used by other groups running an agent system based on the same architecture

PlnTFDB: an integrative plant transcription factor database

BACKGROUND: Transcription factors (TFs) are key regulatory proteins that enhance or repress the transcriptional rate of their target genes by binding to specific promoter regions (i.e. cis-acting elements) upon activation or de-activation of upstream signaling cascades. TFs thus constitute master control elements of dynamic transcriptional networks. TFs have fundamental roles in almost all biological processes (development, growth and response to environmental factors) and it is assumed that they play immensely important functions in the evolution of species. In plants, TFs have been employed to manipulate various types of metabolic, developmental and stress response pathways. Cross-species comparison and identification of regulatory modules and hence TFs is thought to become increasingly important for the rational design of new plant biomass. Up to now, however, no computational repository is available that provides access to the largely complete sets of transcription factors of sequenced plant genomes. DESCRIPTION: PlnTFDB is an integrative plant transcription factor database that provides a web interface to access large (close to complete) sets of transcription factors of several plant species, currently encompassing Arabidopsis thaliana (thale cress), Populus trichocarpa (poplar), Oryza sativa (rice), Chlamydomonas reinhardtii and Ostreococcus tauri. It also provides an access point to its daughter databases of a species-centered representation of transcription factors (OstreoTFDB, ChlamyTFDB, ArabTFDB, PoplarTFDB and RiceTFDB). Information including protein sequences, coding regions, genomic sequences, expressed sequence tags (ESTs), domain architecture and scientific literature is provided for each family. CONCLUSION: We have created lists of putatively complete sets of transcription factors and other transcriptional regulators for five plant genomes. They are publicly available through . Further data will be included in the future when the sequences of other plant genomes become available