Global and multiple test procedures using ordered p-values—a review

This paper reviews global and multiple tests for the combination ofn hypotheses using the orderedp-values of then individual tests. In 1987, Röhmel and Streitberg presented a general method to construct global level α tests based on orderedp-values when there exists no prior knowledge regarding the joint distribution of the corresponding test statistics. In the case of independent test statistics, construction of global tests is available by means of recursive formulae presented by Bicher (1989), Kornatz (1994) and Finner and Roters (1994). Multiple test procedures can be developed by applying the closed test principle using these global tests as building blocks. Liu (1996) proposed representing closed tests by means of “critical matrices” which contain the critical values of the global tests. Within the framework of these theoretical concepts, well-known global tests and multiple test procedures are classified and the relationships between the different tests are characterised.     

Remission from Depression in the DSM: Moving from Rhetoric to Restoration

The Diagnostic and Statistical Manual of Mental Disorders, 5th Edition, the most recent edition of the Diagnostic and Statistical Manual of Mental Disorders, uses the term “remission” to describe the reduction of depressive symptoms. This paper argues that by categorizing someone who no longer has depressive symptoms as “in remission,” that person may feel indefinitely tied to his or her diagnosis. Considering the unfortunate stigma associated with mental illness, permanent linkage to diagnosis through records and professional memory may cause individuals to internalize pathology. In fact, the language of the diagnosis can affect self-perception in sensitive souls for a lifetime. As an implication for practice, we propose that cognitive and narrative therapy approaches, mood-memoirs, and use of metaphor present alternative uses of language that can reduce power imbalances between clinicians and clients, providing a bridge to healing.     

Educated Caring: The Emergence of Professional Identity Among Nurses

This article examines the formation of occupational identity in a nursing program. The normative and ideological dimensions of this process are revealed in the program’s goals and the views of educators and students through qualitative data from observations and 30 in-depth interviews. Educators seek to socialize students toward professionalism to raise the occupation’s status by emphasizing the scientific and technical basis of nursing. Yet students uphold a gendered discourse by identifying a normative dimension of caring as central to their occupational identity. The dilemma between professionalism and caring is reconciled as students construct an occupational identity based on “educated caring,” where these two dimensions are equally valuable and significant.

The Process of Personal Transformation for Adolescents Practicing Mindfulness Skills in an Alternative School Setting

This qualitative study examined the experiences of alternative school students as they participated in a mindfulness skills program. A 7-month school-based mindfulness skills program was integrated into the Grade 10 curriculum for high school students (N = 19; 10 boys and 9 girls, ages 15–17). Students engaged in mindfulness practices twice weekly during class time. Students practiced breath awareness, and seated, walking, and lying mindfulness meditation during the course of the program. Students completed initial and final questionnaires about their experiences as well as written journal entries based on their experiences in the program. At the completion of the program, 14 of the 19 program completers were interviewed (6 boys and 8 girls). Data analysis yielded two broad areas of perceived benefits of participation in the mindfulness skills program: intrapersonal benefits and interpersonal benefits. Intrapersonal benefits included themes of self-awareness and self-regulation (including cognition, emotions, and behavior). Interpersonal benefits included themes of building relationships (with peers, family members, and teachers) and learning to trust. These findings may be useful when planning school-based mindfulness programs and may serve as a guide for researchers studying mindfulness practices for youth.     

The Prevalence of Uncorrected Refractive Errors in Adolescents Incarcerated in a Youth Detention Center

The purpose of this study was to determine the number of residents requiring corrective lenses in a youth detention center for juveniles from 12 to 18 years old over a 2-year period. A greater number of adolescents incarcerated for criminal activity in a detention center had uncorrected refractive errors (34.87 %) as compared to a comparable population in the public school system (22 %). The prevalence of significant refractive errors among incarcerated adolescents in this study is significantly higher than has been reported previously. The current study found a refractive error rate of almost 35 %. This difference can be explained by a number of factors in their social environments and identifies an area for potential intervention to reduce antisocial behavior in this population.     

$$D_s$$-optimality in copula models

Optimum experimental design theory has recently been extended for parameter estimation in copula models. The use of these models allows one to gain in flexibility by considering the model parameter set split into marginal and dependence parameters. However, this separation also leads to the natural issue of estimating only a subset of all model parameters. In this work, we treat this problem with the application of the \(D_s\)-optimality to copula models. First, we provide an extension of the corresponding equivalence theory. Then, we analyze a wide range of flexible copula models to highlight the usefulness of \(D_s\)-optimality in many possible scenarios. Finally, we discuss how the usage of the introduced design criterion also relates to the more general issue of copula selection and optimal design for model discrimination.     

Quantifying the Hurricane Catastrophe Risk to Offshore Wind Power

The U.S. Department of Energy has estimated that over 50 GW of offshore wind power will be required for the United States to generate 20% of its electricity from wind. Developers are actively planning offshore wind farms along the U.S. Atlantic and Gulf coasts and several leases have been signed for offshore sites. These planned projects are in areas that are sometimes struck by hurricanes. We present a method to estimate the catastrophe risk to offshore wind power using simulated hurricanes. Using this method, we estimate the fraction of offshore wind power simultaneously offline and the cumulative damage in a region. In Texas, the most vulnerable region we studied, 10% of offshore wind power could be offline simultaneously because of hurricane damage with a 100‐year return period and 6% could be destroyed in any 10‐year period. We also estimate the risks to single wind farms in four representative locations; we find the risks are significant but lower than those estimated in previously published results. Much of the hurricane risk to offshore wind turbines can be mitigated by designing turbines for higher maximum wind speeds, ensuring that turbine nacelles can turn quickly to track the wind direction even when grid power is lost, and building in areas with lower risk.     

A survey on nonadaptive group testing algorithms through the angle of decoding

Group testing, sometimes called pooling design, has been applied to a variety of problems such as blood testing, multiple access communication, coding theory, among others. Recently, screening experiments in molecular biology has become the most important application. In this paper, we review several models in this application by focusing on decoding, namely, giving a comparative study of how the problem is solved in each of these models.     

Tracing ‘driver’ versus ‘modulator’ information flow throughout large-scale,task-related neural circuitry

Primary objective: To determine the relative uses of neural action potential (‘spike’) data versus local field potentials (LFPs) for modeling information flow through complex brain networks. Hypothesis: The common use of LFP data, which are continuous and therefore more mathematically suited for spectral information-flow modeling techniques such as Granger causality analysis, can lead to spurious inferences about whether a given brain area ‘drives’ the spiking in a downstream area. Experiment: We recorded spikes and LFPs from the forelimb motor cortex (M1) and the magnocellular red nucleus (mRN), which receives axon collaterals from M1 projection cells onto its distal dendrites, but not onto its perisomatic regions, as rats performed a skilled reaching task. Results and implications: As predicted, Granger causality analysis on the LFPs—which are mainly composed of vector-summed dendritic currents—produced results that if conventionally interpreted would suggest that the M1 cells drove spike firing in the mRN, whereas analyses of spiking in the two recorded regions revealed no significant correlations. These results suggest that mathematical models of information flow should treat the sampled dendritic activity as more likely to reflect intrinsic dendritic and input-related processing in neural networks, whereas spikes are more likely to provide information about the output of neural network processing.