1,721 research outputs found
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
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