Life is short, art and scholarship are long: a tribute in memory of Professor Willie Oscar Anku.

This tribute, which memorializes Professor Willie Anku, is in two parts. While Part II offers insights from his scholarship on African rhythm, Part I is modeled on a typical Ghanaian eulogy, because I think it appropriate to honor an Africanist with a tribute that draws on elements of his own African culture

Ephraim Amu's "Bonwere Kenteŋwene": a celebration of Ghanaian traditional knowledge, wisdom, and artistry

By analyzing Amu’s “Bonwere KenteÅ‹wene†(trans. “Bonwere Kente Weavingâ€), an art song for voice and piano, this article explores some of these paradigm-shifting processes. They include Amu’s creation of the song’s text as a narrative on an imaginary journey that foregrounds forms of traditional knowledge and their producers, the quest and advocacy for indigenous African knowledge, weaving of the kente cloth, the process of making a new song, construction of Ghanaian identity through composing an art song, and dissemination of knowledge involved in his process and production of a composition. I examine the major factors that informed Amu’s inspiration, ingenuity, and agency that provoked this art song. These include translation of the generative power of one type of expressive art form into another expressive art form, his selectivity of pre-compositional resources, and his underpinning creative philosophy

Differences in Cortisol Response to Trauma Activation in Individuals with and without Comorbid PTSD and Depression

Background: Although depression symptoms are often experienced by individuals who develop posttraumatic stress disorder (PTSD) following trauma exposure, little is know about the biological correlates associated with PTSD and depression co-morbidity vs. those associated with PTSD symptoms alone. Methods: Here we examined salivary cortisol responses to trauma activation in a sample of 60 survivors of the World Trade Center attacks on September 11, 2001. Participants recalled the escape from the attacks 7 months post 9/11. Salivary cortisol levels were measured before and after their recollection of the trauma. PTSD, depression, and somatic symptoms were also assessed. From the behavioral assessment scales, the participants were grouped into three conditions: those with comorbid PTSD and depressive symptoms, PTSD alone symptoms, or no-pathology. Results: Baseline and cortisol response levels differed between the comorbid, PTSD alone, and no-pathology groups. Individuals endorsing co-morbid symptoms had higher PTSD and somatic symptom severity and their cortisol response decreased following their trauma reminder while a trend of an elevated response to the trauma was found in the PTSD alone group. Our findings show distinct psychological and biological correlates related to the endorsement of PTSD with and without depression comorbidity. Conclusions: The findings suggest that comorbidity symptoms manifestation entails a separate trauma induced condition from PTSD. Future research on biological correlates of comorbid PTSD and depression is warranted

The One-State as a Demand of International Law: Jus Cogens

This article provides the initial contours of an argument that uses International Law to challenge the validity of Israeli apartheid. It challenges the conventional discourse of legal debates on Israel’s actions and bordersand seeks to link the illegalities of these actions to the validity of an inbuilt Israeli apartheid. The argument also connects the deontological doctrine of peremptory norms of International Law (jus cogens), the right of self-determination and the International Crime of Apartheid to the doctrine of state recognition. It applies these to the State of Israel and the vision of a single democratic state in historic Palestine

MetaQC: objective quality control and inclusion/exclusion criteria for genomic meta-analysis

Genomic meta-analysis to combine relevant and homogeneous studies has been widely applied, but the quality control (QC) and objective inclusion/exclusion criteria have been largely overlooked. Currently, the inclusion/exclusion criteria mostly depend on ad-hoc expert opinion or naïve threshold by sample size or platform. There are pressing needs to develop a systematic QC methodology as the decision of study inclusion greatly impacts the final meta-analysis outcome. In this article, we propose six quantitative quality control measures, covering internal homogeneity of coexpression structure among studies, external consistency of coexpression pattern with pathway database, and accuracy and consistency of differentially expressed gene detection or enriched pathway identification. Each quality control index is defined as the minus log transformed P values from formal hypothesis testing. Principal component analysis biplots and a standardized mean rank are applied to assist visualization and decision. We applied the proposed method to 4 large-scale examples, combining 7 brain cancer, 9 prostate cancer, 8 idiopathic pulmonary fibrosis and 17 major depressive disorder studies, respectively. The identified problematic studies were further scrutinized for potential technical or biological causes of their lower quality to determine their exclusion from meta-analysis. The application and simulation results concluded a systematic quality assessment framework for genomic meta-analysis

Conceptual Analysis: A Social Neuroscience Approach to Interpersonal Interaction in the Context of Disruption and Disorganization of Attachment (NAMDA)

Humans are strongly dependent upon social resources for allostasis and emotion regulation. This applies especially to early childhood because humans – as an altricial species – have a prolonged period of dependency on support and input from caregivers who typically act as sources of co-regulation. Accordingly, attachment theory proposes that the history and quality of early interactions with primary caregivers shape children’s internal working models of attachment. In turn, these attachment models guide behavior, initially with the set goal of maintaining proximity to caregivers, but eventually paving the way to more generalized mental representations of self and others. Mounting evidence in nonclinical populations suggests that these mental representations coincide with differential patterns of neural structure, function, and connectivity in a range of brain regions previously associated with emotional and cognitive capacities. What is currently lacking, however, is an evidence-based account of how early adverse attachment-related experiences and/or the emergence of attachment disorganization impact the developing brain. While work on early childhood adversities offers important insights, we propose that how these events become biologically embedded crucially hinges on the context of the child-caregiver attachment relationships in which the events take place. Our selective review distinguishes between direct social neuroscience research on disorganized attachment and indirect maltreatment-related research, converging on aberrant functioning in neurobiological systems subserving aversion, approach, emotion regulation, and mental state processing in the wake of severe attachment disruption. To account for heterogeneity of findings, we propose two distinct neurobiological phenotypes characterized by hyper- and hypo-arousal primarily deriving from the caregiver serving either as a threatening or as an insufficient source of co-regulation, respectively

Predictive Power Estimation Algorithm (PPEA) - A New Algorithm to Reduce Overfitting for Genomic Biomarker Discovery

Toxicogenomics promises to aid in predicting adverse effects, understanding the mechanisms of drug action or toxicity, and uncovering unexpected or secondary pharmacology. However, modeling adverse effects using high dimensional and high noise genomic data is prone to over-fitting. Models constructed from such data sets often consist of a large number of genes with no obvious functional relevance to the biological effect the model intends to predict that can make it challenging to interpret the modeling results. To address these issues, we developed a novel algorithm, Predictive Power Estimation Algorithm (PPEA), which estimates the predictive power of each individual transcript through an iterative two-way bootstrapping procedure. By repeatedly enforcing that the sample number is larger than the transcript number, in each iteration of modeling and testing, PPEA reduces the potential risk of overfitting. We show with three different cases studies that: (1) PPEA can quickly derive a reliable rank order of predictive power of individual transcripts in a relatively small number of iterations, (2) the top ranked transcripts tend to be functionally related to the phenotype they are intended to predict, (3) using only the most predictive top ranked transcripts greatly facilitates development of multiplex assay such as qRT-PCR as a biomarker, and (4) more importantly, we were able to demonstrate that a small number of genes identified from the top-ranked transcripts are highly predictive of phenotype as their expression changes distinguished adverse from nonadverse effects of compounds in completely independent tests. Thus, we believe that the PPEA model effectively addresses the over-fitting problem and can be used to facilitate genomic biomarker discovery for predictive toxicology and drug responses

A MSFD complementary approach for the assessment of pressures, knowledge and data gaps in Southern European Seas : the PERSEUS experience

PERSEUS project aims to identify the most relevant pressures exerted on the ecosystems of the Southern European Seas (SES), highlighting knowledge and data gaps that endanger the achievement of SES Good Environmental Status (GES) as mandated by the Marine Strategy Framework Directive (MSFD). A complementary approach has been adopted, by a meta-analysis of existing literature on pressure/impact/knowledge gaps summarized in tables related to the MSFD descriptors, discriminating open waters from coastal areas. A comparative assessment of the Initial Assessments (IAs) for five SES countries has been also independently performed. The comparison between meta-analysis results and IAs shows similarities for coastal areas only. Major knowledge gaps have been detected for the biodiversity, marine food web, marine litter and underwater noise descriptors. The meta-analysis also allowed the identification of additional research themes targeting research topics that are requested to the achievement of GES. 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.peer-reviewe