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Institute
Since February 2019, the „Katholische Erwachsenenbildung“ has been collaborating with the Institute of Music of the University of Applied Sciences Osnabrück. An institute for adult education provides the framework for a concept in which German as a second language lessons are accompanied by musicalisation. In line with elemental musical practice, whole-body experiences with voice, movement, and body-percussion play an important role. Students with the career goal of „Educating Artist“ work alongside language teachers in this project, and are mentored by university teachers. The young musicians gain monitored teaching experience and have a great opportunity to witness and help shape the linguistic and social integration of refugees.
A consequence of increasing migration is that a large number of people need to learn the language of the country of immigration. Music and language are phenomenons that share many common characteristics, such as melody, rhythm, and timbre. Music draws attention and can cause positive emotions. Music and movement are deeply rooted in the communication of emotional states und are considered to be the evolutionary biological basis for language. Thus the close relationship between language, music, and dance is evident: They all rely on differentiating perception, are able, as systems designed for social interactions, to connect people, and allow for both collective and individual expression.
The contents and procedures of the lessons are documented in a digital diary. The entire team meets at regular intervals, in order to reflect on the experiences and conduct further planning. For these purposes, video documentation of the lessons is also used. The project will end in November 2019 with a language exam; a musical final presentation is also planned. By then at the latest, findings will be available as to if and how the musical course content was able to support language acquisition. The collaboration enables the partners to realize the combining of different objectives (learning a second language, cultural participation and music making) by bringing experts together.
Taking the transdisciplinary research study “Green fingers for a climate resilient city”, funded by the German Ministry of education and research (BMBF), as an example, this paper follows the hypothesis that processes of landscape planning and designing multifunctional green spaces and processes of co-creation need to be combined to stimulate climate resilient city transformation. The findings are that efforts to combine these processes benefit from making complex climate-resilient city planning accessible for people of different professional backgrounds. The paper showcases how storytelling (Schmidt 2019), mapping (Langner 2009) and guided walks (Schultz 2019) are means to mutually engage with, perceive and understand multifunctional green spaces, inspire ownership, and build capacity for the city’s climate-resilient transformation.
This article proposes the concept of a simulation framework for environmental sensors with multilevel abstraction in agricultural scenarios. The implementation case study is a simulation of a grain-harvesting scenario enabled by LiDAR sensors. Environmental sensor models as well as kinematics and dynamic behavior of machines are based on the robotics simulator Gazebo. Models for powertrain, machine process aggregates and peripheral simulation components are implemented with the help of MATLAB/ Simulink and with the robotics middleware Robot Operating System (ROS). This article deals with the general concept of a multilevel simulation framework and in particular with sensor and environmental modeling.
Background: Singers belong to the group of professional voice users with the highest demands regarding voice quality and vocal load. Thus, they also have a high risk of developing a voice disorder, which in return has major impact on their ability to work. Besides voice disorders caused by organic changes, there are functional voice disorders caused by, e.g., a hypertonia of the larynx, shoulder and neck muscles or insufficient breathing patterns. In these cases, physiotherapy can be one component of a multidisciplinary approach to treatment.
The purpose of this presentation is, based on anatomical considerations and current evidence, to inform about and demonstrate physiotherapy techniques for treating singers with functional voice disorders.
Approach of Presentation: A case from a special physiotherapy outpatient clinic for vocalists will be described. Based on this example, information on the evidence of physiotherapy approaches for functional voice disorders will be provided. Afterwards, some practical hands-on techniques will be demonstrated for participants to try.
Content of Presentation: This workshop will focus on the physiotherapy treatment for a vocalist with functional voice disorders. The vocalist experienced changed pitch and hypertonia in both the muscles of the shoulder-neck region and the extrinsic laryngeal muscles. Paralaryngeal manual techniques, in addition to posture and breathing exercises, will be demonstrated with the purpose of mobilizing the larynx and relaxing the hypertonic muscles.
Conclusions and Practical Relevance: This workshop highlights the special potential of physical therapy in the treatment of functional voice disorders in singers.
Artificial intelligence (AI) and human-machine interaction (HMI) are two keywords that usually do not fit embedded applications. Within the steps needed before applying AI to solve a specific task, HMI is usually missing during the AI architecture design and the training of an AI model. The human-in-the-loop concept is prevalent in all other steps of developing AI, from data analysis via data selection and cleaning to performance evaluation. During AI architecture design, HMI can immediately highlight unproductive layers of the architecture so that lightweight network architecture for embedded applications can be created easily. We show that by using this HMI, users can instantly distinguish which AI architecture should be trained and evaluated first since a high accuracy on the task could be expected. This approach reduces the resources needed for AI development by avoiding training and evaluating AI architectures with unproductive layers and leads to lightweight AI architectures. These resulting lightweight AI architectures will enable HMI while running the AI on an edge device. By enabling HMI during an AI uses inference, we will introduce the AI-in-the-loop concept that combines AI's and humans' strengths. In our AI-in-the-loop approach, the AI remains the working horse and primarily solves the task. If the AI is unsure whether its inference solves the task correctly, it asks the user to use an appropriate HMI. Consequently, AI will become available in many applications soon since HMI will make AI more reliable and explainable.
The market for external ratings is dominated worldwide as well as in the European Union (EU) by three major credit rating agencies (CRAs). These “Big Three” are Standard & Poor's (S&P), Moody's and Fitch Ratings. Due to the oligopolistic market structure and possible involvement in the 2008 financial crisis, the rating agencies have constantly come under criticism. This was associated with stricter regulatory requirements to ease the situation. The EU-Regulation on credit rating agencies („CRA-Regulation“) coming into force 2009 and its amendments in 2011 and in 2013 have mainly governed such regulation. The aim of the article is to analyse potential regulatory impact on the still inherent oligopolistic situation on the EU rating market in the context of the CRA-Regulation. Selected key figures are used to observe over a defined period of time if and how the dominance has changed. The motivation for this article is the observation, that political and private efforts to establish a European rating agency as a counterweight to the three major agencies and other approaches to increase competition in the rating market, followed, which has not been resounding to date. In summary, it is shown that new agencies have a potential impact on the EU rating market and that the three major rating agencies still dominate the market but within a changed environment.
This paper presents an optimized algorithm for estimating static and dynamic gait parameters. We use a marker- and contact-less motion capture system that identifies 20 joints of a person walking along a corridor.
Based on the proposed gait cycle detection basic metrics as walking frequency, step/stride length, and support phases are estimated automatically. Applying a rigid body model, we are capable to calculate static and dynamic gait stability metrics. We conclude with initial results of a clinical study evaluating orthopaedic technical support.
Venous leg ulcers and diabetic foot ulcers are the most common chronic wounds. Their prevalence has been increasing significantly over the last years, consuming scarce care resources. This study aimed to explore the performance of detection and classification algorithms for these types of wounds in images. To this end, algorithms of the YoloV5 family of pre-trained models were applied to 885 images containing at least one of the two wound types. The YoloV5m6 model provided the highest precision (0.942) and a high recall value (0.837). Its mAP_0.5:0.95 was 0.642. While the latter value is comparable to the ones reported in the literature, precision and recall were considerably higher. In conclusion, our results on good wound detection and classification may reveal a path towards (semi-) automated entry of wound information in patient records. To strengthen the trust of clinicians, we are currently incorporating a dashboard where clinicians can check the validity of the predictions against their expertise.
Interpolation of data in smart city architectures is an eminent task for the provision of reliable services. Furthermore, it is a key functionality for information validation between spatiotemporally related sensors. Nevertheless, many existing projects use a simplified geospatial model that does not take the infrastructure, which affects events and effects in the real world, into account. There are various available algorithms for interpolation and the calculation of routes on infrastructure based graphs and distances on geospatial data. This work proposes a combined approach by interconnecting detailed geospatial data whilst regarding the underlying infrastructure model.
An Iterative Methodology for Developing National Recommendations for Nursing Informatics Curricula
(2016)
The increasing importance of IT in nursing requires educational measures to support its meaningful application. However, many countries do not yet have national recommendations for nursing informatics competencies. We thus developed an iterative triple methodology to yield validated and country specific recommendations for informatics core competencies in nursing. We identified relevant competencies from national sources (step 1), matched and enriched these with input from the international literature (step 2) and fed the resulting 24 core competencies into a survey (120 invited experts from which 87 responded) and two focus group sessions with a total of 48 experts (steps 3a/3b). The subsequent focus group sessions confirmed and expanded the findings. As a result, we were able to define role specific informatics core competencies for three countries.
Knowledge of the small-scale nutrient status of a field is an important basis for decision-making when it comes to optimising the fertiliser use in crop production. Currently, the traditional method involves soil sampling in the field and soil sample analysis in the laboratory as two separate working processes.
The previous research project "soil2data" developed a mobile field laboratory for different carrier vehicles. In the follow-up project "prototypes4soil2data", the results of soil2data are further developed. A mixed soil sample is collected during the drive on the field. The soil sample is then wet-chemically prepared and analysed. The overall soil sampling and analysis process is divided into the following process steps: soil sampling planning, soil sampling, soil preparation, soil analysis and data management. The process steps are modified for the mobile field laboratory and the process steps run in parallel. The new soil extraction method is based on official German methods (VDLUFA) to ensure the interoperability of the analysis results with the VDLUFA fertiliser recommendations. An innovative key component is the NUTRISTAT analysis module (lab-on-chip with ISFET measurement technology). It can measure pH, the nutrients NO3-, H2PO4-, K+ and the electrical conductivity. In addition to the advantages of rapid data availability and no need to transport soil material to the laboratory, it provides a future basis for new application, e.g. verification of current results in the field during soil sampling with existing results or dynamic adjustment of soil sampling during work in the field.
Analysis of methods for prioritizing critical data transmissions in agricultural vehicular networks
(2020)
Applying wireless communication technologies to agricultural vehicular networks often results in high end-to-end delays and loss of packets due to intermittent or broken connectivity. This paper analyses the methods for the successful delivery of the vehicular data within acceptable delay times. Different kinds of data that are generated and transmitted in agricultural networks are considered in this paper, followed by the data prioritization methods which allow critical data to be prioritized against other data. In this regard, Enhanced Distributed Channel Access, Differentiated Services, and application-based data rate variation are discussed in conjunction with the Simple Network Management Protocol. These techniques are simulated or tested separately and then together and the results show that even in poor network conditions, high-prioritized data is not lost or delayed.
The accounting of small and medium enterprises is specific, compared to the accounting of large enterprises, for several reasons. First of all, lower business volume implies less demanding accounting in terms of less turnover and the number of accounts to be processed, lower financial reporting requirements, more favourable tax treatment is expected and the like. Practical experience in the years of application of EU-accounting directives, which represent the framework of financial reporting of companies at the EU level, pointed to certain difficulties or excessive administrative burden of small and medium enterprises in relation to the requirements for large companies and identified areas for improvement. The complexity of these regulations as well as problems in practical application have led to the need to develop and publish a revised single accounting directive (2013/34/EU). This Directive was primarily adopted with the aim of simplifying the accounting and financial reporting of small and medium-sized enterprises.
Today, it is common for small and medium-sized enterprises to go beyond the borders of one country. In the internationalization of business, SMEs face many challenges and potential barriers. First of all, it refers to financial, human and procedural barriers, but also to informational barriers related to regulations, rules and laws of other countries. Since the accounting and tax treatment of the same business transaction may differ between countries, it seems entirely justified to investigate whether there are differences in the regulation and regulation of the accounting system between the two countries. This paper compares the characteristics of small and medium-sized enterprises’ accounting systems between two economically strongly connected countries, Germany and Croatia, which is the main goal of this paper. It is well known that financial reporting is a particularly important, final phase of accounting data processing. Namely, financial reporting system of these two countries is compared by using the method of comparison and classification analysis. The types and scope of financial statements have been defined and the content of financial statements that SMEs are obliged to compile and publish has been analysed. The paper pays additional attention to the analysis of similarities and differences between these two accounting regulations as well as current events in the implementation of the revised accounting directive into national legislation, especially in simplifying the financial reporting of the smallest, but numerically most represented micro enterprises. The important finding of the research show that some changes have been made but there is still room to improve accounting regulations for this segment of entrepreneurship.
CIOs' innovation capability is regarded as a precondition of successful HIT adoption in hospitals. Based on the data of 142 CIOs, this study aimed at identifying antecedents of perceived innovation capability. Eight features describing the status quo of the hospital IT management (e.g. use of IT governance frameworks), four features of the hospital structure (e.g. functional diversification) and four CIO characteristics (e.g. duration of employment) were tested as potential antecedents in an exploratory stepwise regression approach. Perceived innovation capability in its entirety and its three sub-dimensions served as criterion. The results show that CIOs' perceived innovation capability could be explained significantly (R2=0.34) and exclusively by facts that described the degree of formalism and structure of IT management in a hospital, e.g. intensive and formalised strategic communication, the existence of an IT strategy and the use of IT governance frameworks. Breaking down innovation capability into its constituents revealed that “innovative organisational culture” contributed to a large extent (R2=0.26) to the overall result sharing several predictors. In contrast, “intrapreneurial personality” (R2=0.11) and “openness towards users” (R2=0.18) could be predicted less well. These results hint at the relationship between working in a well-structured, formalised and strategy oriented environment and the overall feeling of being capable to promote IT innovation.
Between Ekaterinburg and Nowosibirsk, in the Western Siberian grain belt, spring wheat is grown on fertileChernozem soils. Field and farm sizes are large but the land-use intensity per area is low compared to CentralEurope. Fertilizers and pesticides are applied only in low to moderate quantities and yields range between 10and 20 dt ha-1 . We studied the arable weed flora in the northern forest steppe zone of Tyumen region using arandomized sampling design. Surprisingly, the species richness was only moderate, on average 9.8 ± 3.8species per 100 m². Compared to weed communities of Bashkiria (Southern Ural) and less intensively usedarable land of Central Europe these numbers are rather low. Moreover, most of the recorded species werecosmopolitans or widely distributed throughout the temperate zone. We suggest that the land use intensitywas high enough to reduce the density of a number of weed species in a way that they were not registered byour random sampling design. The limited conservational value of the weed vegetation of large grain fields inTyumen leads to the conclusion that if intensification of land use is unavoidable, it should be directed to arableland and not to ex-arable land or ancient grassland, which is of higher conservation value.