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Institute
15 δ N signals in plant and soil material integrate over a number of biogeochemical processes
related to nitrogen (N) and therefore provide information on net effects of multiple
processes on N dynamics. In general little is known in many grassland restoration projects
on soil–plant N dynamics in relation to the restoration treatments. In particular, 15 δ N signals
may be a useful tool to assess whether abiotic restoration treatments have produced the
desired result. In this study we used the range of abiotic and biotic conditions provided
by a restoration experiment to assess to whether the restoration treatments and/or plant
functional identity and legume neighborhood affected plant 15 δ N signals. The restoration
treatments consisted of hay transfer and topsoil removal, thus representing increasing
restoration effort, from no restoration measures, through biotic manipulation to major
abiotic manipulation. We measured 15 δ N and %N in six different plant species (two nonlegumes and four legumes) across the restoration treatments. We found that restoration
treatments were clearly reflected in 15 δ N of the non-legume species, with very depleted
15 δ N associated with low soil N, and our results suggest this may be linked to uptake of
ammonium (rather than nitrate). The two non-legume species differed considerably in their
15 δ N signals, which may be related to the two species forming different kinds of mycorrhizal
symbioses. Plant 15 δ N signals could clearly separate legumes from non-legumes, but our
results did not allow for an assessment of legume neighborhood effects on non-legume
15 δ N signals. We discuss our results in the light of what the 15 δ N signals may be telling
us about plant–soil N dynamics and their potential value as an indicator for N dynamics in
restoration.
Körperhaltung und Muskelspannung beeinflussen den Klang der Stimme. Aber gibt es auch einen Zusammenhang zwischen der motorischen Kontrolle der Nacken-, Gesichts- und Kieferregion und der Stimme? Die Pilotstudie mit 12 Sängerinnen ging dieser Frage nach und zeigt: Es ist sinnvoll, die motorische Kontrolle zu testen, wenn Patient*innen mit Stimmproblemen zur Physiotherapie kommen.
Objectives:
The purpose of this study was to determine the motor function of the abdominal muscles in singers with and without functional voice disorders and to examine them for possible differences. Additionally, the breathing behaviour and posture control was investigated.
Study Design
Observational study.
Methods:
Female subjects (n = 20) with differing levels of professional competence were used to provide the data for analysis. By using the Singing Voice Handicap Index (SVHI) the grade of dysphonia could be measured, and the subjects were organized in groups. The change of muscle thickness of the M. transversus abdominis (TVA) and the M. obliquus internus abdominis (OIA) during different singing tasks was measured by using ultrasound. The subjects were then asked to perform the Abdominal Hollowing Test (AHT) with the STABILIZER. Finally, the subjects were all filmed while singing. The videos recordings of the singing sessions were analysed by an independent clinical expert regarding breathing and secondary motor activities (SMA). For the statistical analysis, the Mann-Whitney-U Test and the Chi-Square-Test was mainly used.
Results:
The results showed a significantly thinner TVA in the group with dysphonia in comparison to the group without dysphonia. Ultrasound measurements showed significantly higher changes of muscle thickness of the TVA during singing tasks in the group with dysphonia. Regarding the AHT there was a significant difference between the two groups. The group with dysphonia was not able to increase the pressure by 15mmHg. Furthermore, the healthy subjects demonstrated abdominal breathing, while the group with dysphonia present with thoracic breathing. Additionally, it was noted that the subjects with dysphonia showed a higher level of associated movements especially at and/or on the lumbar spine, cervical spine and the left arm and shoulder.
Conclusion:
Differences in TVA-recruitment, breathing behaviour and secondary motor activities while singing were found. This study sparks new ideas for neuromusculoskeletal assessments and therapy.
Key Words
Transversus abdominis, Abdominal muscles, Dysphonia, Ultrasound, Singing voice, Singers
During recent decades, many studies have shown that the successful restoration of species-rich grasslands is often seed-limited because of depleted seed banks and limited seed dispersal in modern fragmented landscapes. In Europe, commercial seed mixtures, which are widely used for restoration measures, mostly consist of species and varieties of non-local provenance. The regional biodiversity of a given landscape, however, can be preserved only when seeds or plants of local provenance are used in restoration projects. Furthermore, the transfer of suitable target species of local provenance can strongly enhance restoration success.
We review and evaluate the success of currently used near-natural methods for the introduction of target plant species (e.g. seeding of site-specific seed mixtures, transfer of fresh seed-containing hay, vacuum harvesting, transfer of turves or seed-containing soil) on restoration sites, ranging from dry and mesic meadows to floodplain grasslands and fens. Own data combined with literature findings show species establishment rates during the initial phase as well as the persistence of target species during long-term vegetation development on restoration sites.
In conclusion, our review indicates that seed limitation can be overcome successfully by most of the reviewed measures for species introduction. The establishment of species-rich grasslands is most successful when seeds, seed-containing plant material or soil are spread on bare soil of ex-arable fields after tilling or topsoil removal, or on raw soils, e.g. in mined areas. In species-poor grasslands without soil disturbance and on older ex-arable fields with dense weed vegetation, final transfer rates were the lowest. For future restoration projects, suitable measures have to be chosen carefully from case to case as they differ considerably in costs and logistic effort. Long-term prospects for restored grassland are especially good when management can be incorporated in agricultural systems.
The aim of this study is to assess the development of plant species diversity and species composition
over a seven-year period in two calcareous grasslands abandoned for nearly 20 years and to find out
which factors influence vegetation dynamics. In the Abava River valley, Latvia, different calcareous
grasslands were studied, one on the south-west facing slope and another on the north-east facing slope.
Vegetation analyses on permanent plots showed that dry calcareous grasslands can be resistant to deterioration for a long period of time – succession was slower than reported in many cases for Central and
Western Europe. None of the studied communities showed a decrease neither in total species number
recorded per community nor in average species richness per plot. Vascular plant species richness even
increased by 3–4 species per 1-m² plot in the grassland on the south-west facing slope. An unexpected
result of the research was that Calamagrostis epigeios did not expand in this grassland. This fact can be
explained by the influence of disturbances (drought, tree cutting) and local differences in soil parameters
and topography. In parts of the north-east exposed grassland, with deeper soils and better water availability, species diversity (Shannon index) decreased significantly in areas overgrown by Aegopodium
podagraria.
In modern times, closed-loop control systems (CLCSs) play a prominent role in a wide application range, from production machinery via automated vehicles to robots. CLCSs actively manipulate the actual values of a process to match predetermined setpoints, typically in real time and with remarkable precision. However, the development, modeling, tuning, and optimization of CLCSs barely exploit the potential of artificial intelligence (AI). This paper explores novel opportunities and research directions in CLCS engineering, presenting potential designs and methodologies incorporating AI. Combining these opportunities and directions makes it evident that employing AI in developing and implementing CLCSs is indeed feasible. Integrating AI into CLCS development or AI directly within CLCSs can lead to a significant improvement in stakeholder confidence. Integrating AI in CLCSs raises the question: How can AI in CLCSs be trusted so that its promising capabilities can be used safely? One does not trust AI in CLCSs due to its unknowable nature caused by its extensive set of parameters that defy complete testing. Consequently, developers working on AI-based CLCSs must be able to rate the impact of the trainable parameters on the system accurately. By following this path, this paper highlights two key aspects as essential research directions towards safe AI-based CLCSs: (I) the identification and elimination of unproductive layers in artificial neural networks (ANNs) for reducing the number of trainable parameters without influencing the overall outcome, and (II) the utilization of the solution space of an ANN to define the safety-critical scenarios of an AI-based CLCS.