Measuring Ecology in Social Work Supervision: The Relationship Between Work and Treatment Environments and the Quality of Supervision in Israeli Public Welfare Agencies

This study measures the interaction between work and treatment environments in public welfare agencies and social work supervision. One hundred and twenty-four social work students enrolled in B.S.W. studies at two Israeli universities, who were doing field work in these agencies, were randomly sampled. The work and treatment environments were measured utilizing an adapted version of a scale developed by Rudolf H. Moos. The student\u27s evaluation of supervision was measured using a revised version of Carlton Munson\u27s questionnaire. Supervisory variables such as administrative capability, effective use of time, and relationships were positively correlated with work environment variables such as order and organization, clarity, cohesiveness and support, and with treatment environment variables such as innovation, spontaneity, anger -and aggression. Conflicts in the supervisory relationship were correlated with a controlling and unsupportive work environment. The use of technology was perceived as limiting the clients\u27 autonomy. While some logical influences were drawn concerning the direction of these correlations and the possible paths these create, further research is needed in order to address the direction of these correlations. Some practice implications of the findings were discussed briefly

Tropical transition of Hurricane Chris (2012) over the North Atlantic Ocean: A multi-scale investigation of predictability

Tropical cyclones that evolve from a non-tropical origin may pose a special challenge for predictions, as they often emerge at the end of a multi-scale cascade of atmospheric processes. Climatological studies have shown that the 'tropical transition' (TT) pathway plays a prominent role in cyclogenesis, in particular over the North Atlantic Ocean. Here we use operational European Centre for Medium-Range Weather Forecasts ensemble predictions to investigate the TT of North Atlantic Hurricane Chris (2012), whose formation was preceded by the merger of two potential vorticity (PV) maxima, eventually resulting in the storm-inducing PV streamer. The principal goal is to elucidate the dynamic and thermodynamic processes governing the predictability of cyclogenesis and subsequent TT. Dynamic time warping is applied to identify ensemble tracks that are similar to the analysis track. This technique permits small temporal and spatial shifts in the development. The formation of the pre-Chris cyclone is predicted by those members that also predict the merging of the two PV maxima. The position of the storm relative to the PV streamer determines whether the pre-Chris cyclone follows the TT pathway. The transitioning storms are located inside a favorable region of high equivalent potential temperatures that result from a warm seclusion underneath the cyclonic roll-up of the PV streamer. A systematic investigation of consecutive ensemble forecasts indicates that forecast improvements are linked to specific events, such as the PV merging. The present case exemplifies how a novel combination of Eulerian and Lagrangian ensemble forecast analysis tool allows to infer physical causes of abrupt changes in predictability.Comment: 27 pages, 15 figures, supplementary material; submitted to Monthly Weather Revie

Tropical Transition of Hurricane Chris (2012) over the North Atlantic Ocean: A Multi-Scale Investigation of Predictability

Tropical cyclones that evolve from a non-tropical origin may pose a special challenge for predictions, as they often emerge at the end of a multi-scale cascade of atmospheric processes. Climatological studies have shown that the 'tropical transition' (TT) pathway plays a prominent role in cyclogenesis, in particular over the North Atlantic Ocean. Here we use operational European Centre for Medium-Range Weather Forecasts ensemble predictions to investigate the TT of North Atlantic Hurricane Chris (2012), whose formation was preceded by the merger of two potential vorticity (PV) maxima, eventually resulting in the storm-inducing PV streamer. The principal goal is to elucidate the dynamic and thermodynamic processes governing the predictability of cyclogenesis and subsequent TT. Dynamic time warping is applied to identify ensemble tracks that are similar to the analysis track. This technique permits small temporal and spatial shifts in the development. The formation of the pre-Chris cyclone is predicted by those members that also predict the merging of the two PV maxima. The position of the storm relative to the PV streamer determines whether the pre-Chris cyclone follows the TT pathway. The transitioning storms are located inside a favorable region of high equivalent potential temperatures that result from a warm seclusion underneath the cyclonic roll-up of the PV streamer. A systematic investigation of consecutive ensemble forecasts indicates that forecast improvements are linked to specific events, such as the PV merging. The present case exemplifies how a novel combination of Eulerian and Lagrangian ensemble forecast analysis tool allows to infer physical causes of abrupt changes in predictability.Comment: 27 pages, 15 figures, supplementary material; submitted to Monthly Weather Revie

Atom Chips

Atoms can be trapped and guided using nano-fabricated wires on surfaces, achieving the scales required by quantum information proposals. These Atom Chips form the basis for robust and widespread applications of cold atoms ranging from atom optics to fundamental questions in mesoscopic physics, and possibly quantum information systems

WSES worldwide emergency general surgery formation and evaluation project

Optimal management of emergency surgical patients represents one of the major health challenges worldwide. Emergency general surgery (EGS) was identified as multidisciplinary surgery performed for traumatic and non-traumatic acute conditions during the same admission in the hospital. EGS represents the easiest viable way to provide affordable and high-quality level of care to emergency surgical and trauma patients. It may result from the association of different physicians with other specialties in a cooperative model. The World Society of Emergency Surgery (WSES) has been working on the EGS organization and implementation since its foundation believing in the need of common benchmarks for training and educational programs throughout the world. This is a plea in different languages to all World Prime Ministers and Presidents to support the creation in all nations of an organized hub-spoke system for emergency general surgery to improve standards of care and to save lives.Peer reviewe

Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks

Motivation: One of the branches of Systems Biology is focused on a deep understanding of underlying regulatory networks through the analysis of the biomolecules oscillations and their interplay. Synthetic Biology exploits gene or/and protein regulatory networks towards the design of oscillatory networks for producing useful compounds. Therefore, at different levels of application and for different purposes, the study of biomolecular oscillations can lead to different clues about the mechanisms underlying living cells. It is known that network-level interactions involve more than one type of biomolecule as well as biological processes operating at multiple omic levels. Combining network/pathway-level information with genetic information it is possible to describe well-understood or unknown bacterial mechanisms and organism-specific dynamics. Results: Network multi-omic integration has led to the discovery of interesting oscillatory signals. Following the methodologies used in signal processing and communication engineering, a new methodology is introduced to identify and quantify the extent of the multi-omic oscillations of the signal. New signal metrics are designed to allow further biotechnological explanations and provide important clues about the oscillatory nature of the pathways and their regulatory circuits. Our algorithms designed for the analysis of multi-omic signals are tested and validated on 11 different bacteria for thousands of multi-omic signals perturbed at the network level by different experimental conditions. Information on the order of genes, codon usage, gene expression, and protein molecular weight is integrated at three different functional levels. Oscillations show interesting evidence that network-level multi-omic signals present a synchronized response to perturbations and evolutionary relations along with taxa.Comment: 8 pages, 5 figure, 3 algorithms, journal pape