Multilevel mesh partitioning for optimising aspect ratio

Multilevel algorithms are a successful class of optimisation techniques which address the mesh partitioning problem. They usually combine a graph contraction algorithm together with a local optimisation method which refines the partition at each graph level. To date these algorithms have been used almost exclusively to minimise the cut-edge weight, however it has been shown that for certain classes of solution algorithm, the convergence of the solver is strongly influenced by the subdomain aspect ratio. In this paper therefore, we modify the multilevel algorithms in order to optimise a cost function based on aspect ratio. Several variants of the algorithms are tested and shown to provide excellent results.

Influence of megasonic agitation on the electrodeposition of high aspect ratio blind vias

This paper presents preliminary studies in electroplating using megasonic agitation to avoid the formation of voids within high aspect ratio microvias that are used for the redistribution of interconnects in high density interconnection technology in printed circuit boards. Through this technique, uniform deposition of metal on the side walls of the vias is possible. High frequency acoustic streaming at megasonic frequencies enables the decrease of the Nernst diffusion layer down to the sub-micron range, allowing thereby conformal electrodeposition in deep grooves. This effect enables the normally convection free liquid near the surface to be agitated. Higher throughput and better control of the material properties of the deposits can be achieved for the manufacturing of embedded interconnections and metal-based MEMS. For optimal filling performance of the microvias, a full design of experiments (DOE) and a multi-physics numerical simulation have been conducted to analyse the influence of megasonic agitation on the plating quality of the microvias. Megasonic based deposition has been found to increase the deposition rate as well as improving the quality of the metal deposits.

The reporting behaviours of student nurses who have experienced verbal abuse

Background: There is evidence that student nurses are vulnerable to experiencing verbal abuse from a variety of sources and under-reporting of verbal abuse is prevalent throughout the nursing profession. The objective of the study is to explore the reporting behaviours of student nurses who have experienced verbal abuse. Method: For this study a definition of verbal abuse was adopted from current Department of Health (England) guidelines. Questionnaires were distributed in 2005 to a convenience sample of 156 third year nursing students from one pre-registration nursing programme in England. A total of 114 questionnaires were returned, giving an overall response rate of 73.0%. Results: Fifty one students (44.7% of responses) reported verbal abuse; all of these completed the section exploring reporting behaviours. The incidents involved patients in thirty three cases (64.7%); eight cases (15.7%) involved visitors or relatives and ten cases (19.6%) involved other healthcare workers. Thirty two students (62.7%) stated that they did report the incident of verbal abuse they experienced and nineteen (37.3%) of respondents reported that they did not. Only four incidents developed from an oral report to being formally documented. There was a statistically significant association (P = 0.003) between the focus of verbal abuse (patient/visitor or colleague) and the respondents reporting practices with respondents experiencing verbal abuse from colleagues less likely to report incidents. Most frequent feelings following experiences of verbal abuse from colleagues were feelings of embarrassment and hurt/shock. Most frequent consequences of experiencing verbal abuse from patients or relatives were feeling embarrassed and feeling sorry for the abuser. When comparing non reporters with reporters, the most frequent feelings of non reporters were embarrassment and hurt and reporters, embarrassment and feeling sorry for the abuser. When considering levels of support after the incident the mean rating score of respondents who reported the incident was 5.40 (standard deviation 2.89) and of those that did not, 4.36 (standard deviation 2.87) which was not statistically significant (p = 0.220). Conclusions: 1. Not documenting experiences of verbal abuse formally in writing is a prevalent phenomenon within the sample studied and reporting practices are inconsistent. 2. Both Higher Education Institutions and health care providers should consider emphasising formal reporting and documenting of incidents of verbal abuse during student nurse training and access to formal supportive services should be promoted. 3. Effective incident reporting processes and analysis of these reports can lead to an increased awareness of how to avoid negative interactions in the workplace and how to deal with incidents effectively.

Verbal abuse experienced by student nurses

Aim: This paper is a report of a study to describe the nature, severity, frequency and sources of verbal abuse experienced by nursing students while gaining clinical experience. Background: Verbal abuse of healthcare workers is currently receiving considerable attention and nursing students have been identified as a group vulnerable to experiencing workplace verbal abuse. Method: Questionnaires were distributed in 2005 to a convenience sample of 156 third year nursing students from one pre-registration nursing programme in England. A total of 114 questionnaires were returned, giving a response rate of 73.0%. Findings: Experience of verbal abuse was reported by 45.1% of respondents, 34.5% had witnessed other students experiencing this and 65.5% reported that they were aware of other students experiencing verbal abuse. The incidents involved patients in 64.7% of cases, 15.7% involved visitors or relatives and 19.6% involved other healthcare workers. Students reported experiencing threats to kill them, racial abuse and sexually oriented verbal abuse, with the majority of incidents occurring in general medical, mental health and general surgical clinical areas. Conclusion: Education and healthcare providers should prepare students to manage negative verbal exchanges during nursing education, and policies and support networks relating to managing verbal abuse in clinical practice should be available to nursing students.

The exposure to verbal abuse of student nurses gaining placement experience

Clinical placement experience has a key role to play in the socialisation and preparation of future members of the nursing profession. Aggression experienced by healthcare workers is currently receiving considerable attention and student nurses have been identified as a group vulnerable to experiencing workplace abuse (Little 1999). The primary aim of the study is to gain a greater understanding of the nature, severity, frequency and sources of verbal abuse experienced by student nurses in health care settings in the south east of England, using as a definition, “the use of inappropriate words… causing distress” (Department of Health 2003). A convenience sample of 156 third year student nurses of all four branches of one preregistration nursing programme in the south east of England was studied with questionnaires distributed retrospectively; 11 4 student nurses returned the questionnaires equating to a response rate of 73%. Results 46% of respondents reported experiencing verbal abuse, 39% had witnessed other students experiencing verbal abuse and 61% reported that they were aware of other students experiencing verbal abuse. Students reported experiencing threats to kill, racial abuse, sexually orientated verbal abuse and bullying while gaining placement experience. Student nurses are a high risk group for experiencing verbal abuse whilst gaining placement experience.In the literature, mental health and learningdisability settings are viewed as high risk areasfor experiencing aggression (Beech and Leather 2003); this study suggests that student nurses experience verbal abuse in a variety of settings and verbal abuse may be more prevalent on general medical and surgical wards than previously expected.

Multilevel mesh partitioning for optimising subdomain aspect ratio

Multilevel algorithms are a successful class of optimisation techniques which address the mesh partitioning problem for mapping meshes onto parallel computers. They usually combine a graph contraction algorithm together with a local optimisation method which refines the partition at each graph level. To date these algorithms have been used almost exclusively to minimise the cut-edge weight in the graph with the aim of minimising the parallel communication overhead. However it has been shown that for certain classes of problem, the convergence of the underlying solution algorithm is strongly influenced by the shape or aspect ratio of the subdomains. In this paper therefore, we modify the multilevel algorithms in order to optimise a cost function based on aspect ratio. Several variants of the algorithms are tested and shown to provide excellent results.

Load balancing for aspect ratio in adaptive finite element simulations

In parallel adaptive finite element simulations the work load on the individual processors may change frequently. To (re)distribute the load evenly over the processors a load balancing heuristic is needed. Common strategies try to minimise subdomain dependencies by optimising the cutsize of the partitioning. However for certain solvers cutsize only plays a minor role, and their convergence is highly dependent on the subdomain shapes. Degenerated subdomain shapes cause them to need significantly more iterations to converge. In this work a new parallel load balancing strategy is introduced which directly addresses the problem of generating and conserving reasonably good subdomain shapes in a dynamically changing Finite Element Simulation. Geometric data is used to formulate several cost functions to rate elements in terms of their suitability to be migrated. The well known diffusive method which calculates the necessary load flow is enhanced by weighting the subdomain edges with the help of these cost functions. The proposed methods have been tested and results are presented.

Multilevel mesh partitioning for aspect ratio

Multilevel algorithms are a successful class of optimisation techniques which address the mesh partitioning problem. They usually combine a graph contraction algorithm together with a local optimisation method which refines the partition at each graph level. To date these algorithms have been used almost exclusively to minimise the cut-edge weight, however it has been shown that for certain classes of solution algorithm, the convergence of the solver is strongly influenced by the subdomain aspect ratio. In this paper therefore, we modify the multilevel algorithms in order to optimise a cost function based on aspect ratio. Several variants of the algorithms are tested and shown to provide excellent results.

Aspect ratio for mesh partitioning

This paper deals with the measure of Aspect Ratio for mesh partitioning and gives hints why, for certain solvers, the Aspect Ratio of partitions plays an important role. We define and rate different kinds of Aspect Ratio, present a new center-based partitioning method which optimizes this measure implicitly and rate several existing partitioning methods and tools under the criterion of Aspect Ratio.

A.G.B. ter Meulen, Representing Time in Natural Language: The Dynamic Interpretation of Tense and Aspect, The MIT Press, 1997, ISBN: 978-0262200998 [Book review]

Abstract not available