A Continuous Non-demolition Measurement of the Cs Clock Transition Pseudo-spin

We demonstrate a weak continuous measurement of the pseudo-spin associated with the clock transition in a sample of Cs atoms. Our scheme uses an optical probe tuned near the D1 transition to measure the sample birefringence, which depends on the z-component of the collective pseudospin. At certain probe frequencies the differential light shift of the clock states vanishes and the measurement is non-perturbing. In dense samples the measurement can be used to squeeze the collective clock pseudo-spin, and has potential to improve the performance of atomic clocks and interferometers.Comment: 4 pages, 4 figures, ReVTeX, modified text in response to referee's comment

COST CUTTING MEASURES AT COOPERATIVE BANKS IN GERMANY AS A RESULT OF DIGITALIZATION AND THEIR CONSEQUENCES

The banking market in Germany is facing big challenges due to digitalization. The digital transformation is significantly influenced by technological progress and the low-interest phase. The article deals with the group of cooperative banks, which consists of many individual cooperative credit institutions. Cooperative banks are credit institutions whose objective, according to their statutes, is the economic promotion of their members through joint business operations. The traditional classical business model is traditionally based on personal customer contact. More mergers are to be expected in the banking sector in the coming years. The process of branch closures and staff reductions is also inevitable. Although the role of branches is up for discussion, they are increasingly falling victim to increased cost pressures. These changes have an impact on many aspects of how bank customers demand, evaluate and ultimately purchase financial services. In recent years, it has become clear that banks lack a clear strategy. The aim should be that the strategy does not focus exclusively on cost cutting, such as branch closures and staff reductions. The main purpose of this research is to investigate whether these cost cutting measures in cooperative banks are operationally justified in relation to the available operating profit, cost income ratio and return on equity. The results of this article may be relevant for researchers dealing with the Digital Transformation in the banking sector in Germany.

COST CUTTING MEASURES AT COOPERATIVE BANKS IN GERMANY AS A RESULT OF DIGITALIZATION AND THEIR CONSEQUENCES

The banking market in Germany is facing big challenges due to digitalization. The digital transformation is significantly influenced by technological progress and the low-interest phase. The article deals with the group of cooperative banks, which consists of many individual cooperative credit institutions. Cooperative banks are credit institutions whose objective, according to their statutes, is the economic promotion of their members through joint business operations. The traditional classical business model is traditionally based on personal customer contact. More mergers are to be expected in the banking sector in the coming years. The process of branch closures and staff reductions is also inevitable. Although the role of branches is up for discussion, they are increasingly falling victim to increased cost pressures. These changes have an impact on many aspects of how bank customers demand, evaluate and ultimately purchase financial services. In recent years, it has become clear that banks lack a clear strategy. The aim should be that the strategy does not focus exclusively on cost cutting, such as branch closures and staff reductions. The main purpose of this research is to investigate whether these cost cutting measures in cooperative banks are operationally justified in relation to the available operating profit, cost income ratio and return on equity. The results of this article may be relevant for researchers dealing with the Digital Transformation in the banking sector in Germany.

Factors Affecting Preconditioned Calf Price Premiums: Does Potential Buyer Competition and Seller Reputation Matter?

Feeder-calf prices are determined by the interaction of many factors. This study uses transaction data from Iowa preconditioned and regular feeder-calf auction sales to quantify the impact of a wide variety of factors, several of which have not been used in previous studies on feeder-calf prices. Notably, market premiums for preconditioned sales versus regular sales, feedlot capacity utilization, and seller reputation are found to be significant factors affecting feeder-calf prices. Estimated coefficients are then used to predict prices to demonstrate how this information can be used in making management and marketing decisions

Innovative Approaches to Emergency Medical Services Fellowship Challenges

Introduction: Since the development of an Accreditation Council of Graduate Medical Education (ACGME)-accredited emergency medical services (EMS) fellowship, there has been little published literature on effective methods of content delivery or training modalities. Here we explore a variety of innovative approaches to the development and revision of the EMS fellowship curriculum.Methods: Three academic, university-based ACGME-accredited EMS fellowship programs each implemented an innovative change to their existing training curricula. These changes included the following: a novel didactic curriculum delivery modality and evaluation; implementation of a distance education program to improve EMS fellows’ rural EMS experiences; and modification of an existing EMS fellowship curriculum to train a non-emergency medicine physician.Results: Changes made to each of the above EMS fellowship programs addressed unique challenges, demonstrating areas of success and promise for more generalized implementation of these curricula. Obstacles remain in tailoring the described curricula to the needs of each unique institution and system.Conclusion: Three separate curricula and program changes were implemented to overcome specific challenges and achieve educational goals. It is our hope that our shared experiences will enable others in addressing common barriers to teaching the EMS fellowship core content and share similar innovative approaches to educational challenges

Polychlorinated biphenyls in air and water of the North Atlantic and Arctic Ocean.

Air and seawater samples were collected on board the R/V Polarstern during a scientific expedition from Germany to the Arctic Ocean during June–August 2004. The air data show a strong decline with latitude with the highest polychlorinated biphenyl (PCB) concentrations in Europe and the lowest in the Arctic. ΣICES PCBs in air range from 100 pg m−3 near Norway to 0.8 pg m−3 in the Arctic. A comparison with other data from previous and ongoing land-based air measurements in the Arctic region suggests no clear temporal decline of PCBs in the European Arctic since the mid-1990s. Dissolved concentrations of Σ6PCBs (28/31, 52, 101, 118, 138, 153) in surface seawater were <1 pg L−1. Dominant PCBs in seawater were 28/31 and 52 (0.1–0.44 pg L−1), with PCBs 101, 118, and 138 < 0.1 pg L−1. In seawater, PCB 52 displayed the highest concentrations in the northernmost samples, while PCBs 101, 118, and 138 showed slightly decreasing trends with increasing latitude. Fractionation was observed for PCBs in seawater with the relative abundance of PCBs 28 and 52 increasing and that of the heavier congeners decreasing with latitude. However, in air only 15–20% of the variability of atmospheric PCBs can be explained by temperature. Owing to large uncertainties in the Henry's Law constant (HLC) values, fugacity quotients for PCBs were estimated using different HLCs reported in the literature. These indicate that on average, deposition dominates over volatilization for PCBs in the Arctic region with a strong increase in the middle of the transect near the marginal ice zone (78–79°N). The increase in fugacity ratio is mainly caused by an increase in air concentration in this region (possibly indirectly caused by ice melting being a source of PCBs to the atmosphere)

Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks

Statistical postprocessing is used to translate ensembles of raw numerical weather forecasts into reliable probabilistic forecast distributions. In this study, we examine the use of permutation-invariant neural networks for this task. In contrast to previous approaches, which often operate on ensemble summary statistics and dismiss details of the ensemble distribution, we propose networks which treat forecast ensembles as a set of unordered member forecasts and learn link functions that are by design invariant to permutations of the member ordering. We evaluate the quality of the obtained forecast distributions in terms of calibration and sharpness, and compare the models against classical and neural network-based benchmark methods. In case studies addressing the postprocessing of surface temperature and wind gust forecasts, we demonstrate state-of-the-art prediction quality. To deepen the understanding of the learned inference process, we further propose a permutation-based importance analysis for ensemble-valued predictors, which highlights specific aspects of the ensemble forecast that are considered important by the trained postprocessing models. Our results suggest that most of the relevant information is contained in few ensemble-internal degrees of freedom, which may impact the design of future ensemble forecasting and postprocessing systems.Comment: Submitted to Artificial Intelligence for the Earth System

The social construction of human-robot co-work by means of prototype work settings

Whether we look at Europe, the USA or Japan, in many areas in the world new possibilities of employing robotic systems in work settings essentially rely on direct collaborative interaction be-tween human workers and collaborative robots leading to new distributions of agency between them and making available robotic operations as resources for performing different forms of work, work which otherwise would remain out of reach for robotic automation for the time being. In this paper we introduce our concepts of studying the social construction of these collaborative work settings and the distribution of agency, accordingly. Referring to the basic idea of actor-network theory that technology in use should be analysed in a symmetrical manner, treating all the human and nonhuman entities involved as actors, our concept of distributed agency goes beyond actor-network theory in that it introduces the notion of gradualised action, which allows distinguishing between different levels of distributed agency. Therefore, we can precisely describe, in which way and to what extent activities and actor positions are delegated to robot co-workers or remain with its human counterpart. For analysing how the distribution of agency between human and robot co-workers is socially constructed in different stages, first in laboratory settings and then in increas-ingly realistic real-world settings, we interpret the spectrum of manifestations of human-robot col-laboration as prototypically realised scenarios at different stages of elaboration. In doing so we introduce the current state of collaborative robots in the areas of industrial production and care work as they represent contrastive cases: In industrial production collaborative robots are the next step in a long-standing history of robotic automation whereas in care work the new robots are also the first robots to be employed there. We believe that in both fields a perspective on collaborative work between humans and robots as a socio-technical constellation is helpful in order to be able to identify new distributions of work tasks