The Munich Information Center for Protein Sequences (MIPS-GSF), Martinsried near Munich, Germany, develops and maintains genome oriented databases. It is commonplace that the amount of sequence data available increases rapidly, but not the capacity of qualified manual annotation at the sequence databases. Therefore, our strategy aims to cope with the data stream by the comprehensive application of analysis tools to sequences of complete genomes, the systematic classification of protein sequences and the active support of sequence analysis and functional genomics projects. This report describes the systematic and up-to-date analysis of genomes (PEDANT), a comprehensive database of the yeast genome (MYGD), a database reflecting the progress in sequencing the Arabidopsis thaliana genome (MATD), the database of assembled, annotated human EST clusters (MEST), and the collection of protein sequence data within the framework of the PIR-International Protein Sequence Database (described elsewhere in this volume). MIPS provides access through its WWW server (http://www.mips.biochem.mpg.de) to a spectrum of generic databases, including the above mentioned as well as a database of protein families (PROTFAM), the MITOP database, and the all-against-all FASTA database.

The Comprehensive Yeast Genome Database (CYGD) compiles a comprehensive data resource for information on the cellular functions of the yeast Saccharomyces cerevisiae and related species, chosen as the best understood model organism for eukaryotes. The database serves as a common resource generated by a European consortium, going beyond the provision of sequence information and functional annotations on individual genes and proteins. In addition, it provides information on the physical and functional interactions among proteins as well as other genetic elements. These cellular networks include metabolic and regulatory pathways, signal transduction and transport processes as well as co-regulated gene clusters. As more yeast genomes are published, their annotation becomes greatly facilitated using S.cerevisiae as a reference. CYGD provides a way of exploring related genomes with the aid of the S.cerevisiae genome as a backbone and SIMAP, the Similarity Matrix of Proteins. The comprehensive resource is available under http://mips.gsf.de/genre/proj/yeast/.

Smartphones and their internal sensors offer new options for an experimental access to teach physics at secondary schools and universities. Especially in the field of mechanics, a number of smartphone-based experiments are known illustrating, e.g., linear and pendulum motions as well as rotational motions using the internal MEMS accelerometer and gyroscope, respectively.

A concept for undergraduate mechanics courses at universities is introduced where traditional pencil-paper based exercises are partially replaced by experimental exercises, in which smartphones are used as measurement devices. A detailed guidance for practical realization and implementation of these tasks formats into the course is presented. Three smartphone-based experimental exercises ‘The tilting smartphone’, ‘The oscillation balance’ and ‘Using the Smartphone in a Torsion Pendulum’ are presented. First empirical results with respect to the learning achievement indicate a mid size effect on the understanding of the physical concepts. Compared to the traditional pencil-paper based exercises, the students performance in the experimental exercises is slightly lower, although the motivation to solve these tasks is higher.

Implementing smartphones with their internal sensors into physics experiments represents a modern, attractive, and authentic approach to improve students’ conceptual understanding of physics. In such experiments, smartphones often serve as objects with physical properties and as digital measurement devices to record, display, and analyze quantities such as the angular velocity, linear acceleration, magnetic flux, sound pressures, light intensity, etc. For example, the MEMS accelerometer and gyroscope are utilized to study the dependence of the radial acceleration on the angular velocity in circular motions and oscillation periods or the acceleration due to gravity via different pendulum setups.

Summary Modern academic and industrial research in life sciences generates huge amounts of data and information. To extract knowledge from this information space, optimized integration and retrieval software tools are essential. In the last years, a number of academic as well as commercial systems have been developed to solve this problem. However, as scientific projects are distributed at different locations (e.g., subsidiaries of companies, academic partnerships), data exchange and availability must be realized in a way that avoids data replication.In this article, we describe a global solution for integrating distributed information by applying the BioRSTM Integration and Retrieval System and its inter-BioRS communication capability that goes beyond the standard issue of local data integration. Each site integrates and maintains locally generated data using a local copy of the BioRS software. Applying the inter-BioRS communication, all available BioRS instances can communicate with each other realizing a global network of integrated databanks. All databanks integrated in this network can be accessed from any site without any data replication. This open system allows the addition of new information and sites dynamically. However, access privileges for certain databanks can be maintained on a per user and databank level ensuring data security when required.

The dynamics of a spring pendulum is an important topic in introductory experimental physics courses at universities and advanced science courses in secondary school education. Different types of pendulum setups with smartphones were proposed to investigate, e.g., the gravitational acceleration, to measure spring constants, or to illustrate and verify the principles of periodic motions and their characterization via oscillation periods. In most of these experiments the smartphone with its internal acceleration sensor or the magnetometer is used as the measurement device.

Smartphone-based experimental exercises were incorporated as part of the homework problems in an introductory mechanics course at a university. A quasi-experimental field study with two cohorts design was performed to measure the impact of such exercises on motivation, interest and conceptual understanding. The empirical results on learning achievement show a significant positive influence of the smartphone-based experimental exercise for the dynamics of rigid bodies topic with a medium effect size of d = 0.42. For the analysis of rotational motion topic, a positive learning achievement for both groups was evidenced, but the effect size of the smartphone-based exercise was rather small at d = 0.20 . The intrinsic and germane cognitive loads turned out to be similar at an intermediate level for both groups. However, the extrinsic cognitive load for the intervention group decreased significantly, which might be the reason why more complex experimental exercises foster conceptual understanding.