Defining Nano,Nanotechnology and Nanomedicine: Why Should It Matter?

Nanotechnology, which involves manipulation of matter on a ‘nano’ scale, is considered to be a key enabling technology. Medical applications of nanotechnology (commonly known as nanomedicine) are expected to significantly improve disease diagnostic and therapeutic modalities and subsequently reduce health care costs. However, there is no consensus on the definition of nanotechnology or nanomedicine, and this stems from the underlying debate on defining ‘nano’. This paper aims to present the diversity in the definition of nanomedicine and its impact on the translation of basic science research in nanotechnology into clinical applications. We present the insights obtained from exploratory qualitative interviews with 46 stakeholders involved in translational nanomedicine from Europe and North America. The definition of nanomedicine has implications for many aspects of translational research including: fund allocation, patents, drug regulatory review processes and approvals, ethical review processes, clinical trials and public acceptance. Given the interdisciplinary nature of the field and common interest in developing effective clinical applications, it is important to have honest and transparent communication about nanomedicine, its benefits and potential harm. A clear and consistent definition of nanomedicine would significantly facilitate trust among various stakeholders including the general public while minimizing the risk of miscommunication and undue fear of nanotechnology and nanomedicine.     

Social Constructionist Approach to Suffering and Healing: Juxtaposing Cassell, Gergen and Kleinman

To understand the experiences of suffering (overwhelming somatic pain or illness and its anticipation and other forms of severe distress arising in the socio-moral context) and facilitate healing (developing an enabling meaning and value for one??s experiences when faced with suffering) have been the focus of medicine as a social institution throughout human history. However, the goals of Western biomedicine in the last few centuries shifted from taking care of these experiential concerns of the sufferers to predominantly the diagnosis and treatment of the symptoms of a disease. This article attempts to illustrate how the assumptions of the social constructionist paradigm (with its deconstructionist and reconstructionist facets highlighted in the writings of Kenneth J. Gergen) serve as a suitable metatheoretical framework to understand human experiences of suffering and healing. A critical review of the writings of Eric J. Cassell and Arthur Kleinman on endorsing and researching such experiences resulted in four themes that reaffirmed the utility of this new paradigm. These themes help comprehend that biomedicine??s ontological claims may enhance human suffering, suffering and healing experiences are socio-historically contextualized, such experiences are performances within human interaction and dialogic partnership between the researcher and the participant becomes a meaningful medium to study such experiences.     

Integration of Analytic Hierarchy Process with Regression Analysis to Identify Attractive Locations for Market Expansion

Selection of new geographies in which to expand is a key decision for businesses aspiring to go beyond the opportunities in the existing markets. The conventional approaches of market selection can only provide a set of systematic steps for problem solving without considering the relationships between the decision factors. Decision models based on statistical techniques are able to examine the relationship between decision factors but are unable to effectively assist decision makers in identifying the most promising market, particularly in terms of prioritizing across decision factors. Analytic Hierarchy Process (AHP) is a commonly used approach for choosing alternatives by prioritizing across multiple decision factors. The typical AHP modelling requires knowledge of criteria and/or alternatives along with their relative weights, generally elicited from field experts. Quite often, firms encounter situations where decision makers are aware of only the overall objective and a set of earmarked geographies for setting up market locations while being relatively unaware of decision criteria and relative weights. This precludes using AHP to identify promising market locations. This paper conceptualizes a market selection decision model that integrates AHP with statistical modelling techniques to identify the attractive market locations for the purpose of expansion. The model first uses principal component analysis and multiple regression to determine significant decision criteria and their weights. Thereafter, it applies AHP to prioritize the market locations across the decision criteria. This integrative approach is illustrated for identifying the attractive locations in rural markets for a steel firm in India. The major advantage of this approach is that unlike the existing models, it works in situations when firms have not enough knowledge about factors for evaluating alternative market locations. Another key advantage of the proposed model is that of economizing resources for data collection on variables representing decision factors. Copyright © 2012 John Wiley & Sons, Ltd.     

Hippocampal structure and human cognition: Key role of spatial processing and evidence supporting the efficiency hypothesis in females

Here we apply a method for automated segmentation of the hippocampus in 3D high-resolution structural brain MRI scans. One hundred and four healthy young adults completed twenty one tasks measuring abstract, verbal, and spatial intelligence, along with working memory, executive control, attention, and processing speed. After permutation tests corrected for multiple comparisons across vertices (p < .05), significant relationships were found for spatial intelligence, spatial working memory, and spatial executive control. Interactions with sex revealed significant relationships with the general factor of intelligence (g), along with abstract and spatial intelligence. These correlations were mainly positive for males but negative for females, which might support the efficiency hypothesis in women. Verbal intelligence, attention, and processing speed were not related to hippocampal structural differences.     

Immigration and Psychosis: an Exploratory Study

This qualitative study aimed to explore views (and related experiences) of healthcare providers regarding immigration and its relation to psychosis, such as schizophrenia, particularly to identify support needs and challenges of immigrants with psychosis and related challenges and enablers of their mental health service providers. The objectives of this study were to identify (1) barriers and enablers of mental health and other services for Canadian immigrants with psychosis and (2) barriers and enablers for their mental health service providers. The study used a phenomenological approach to elicit views of 12 mental healthcare providers with experience in providing mental healthcare to immigrants with psychosis. Semi-structured individual interview data obtained were coded and thematically analyzed. Six themes in relation to the experience of service provision to immigrants with psychosis were found: the immigration process, service availability and accessibility, social determinants of health, cultural context, psychosocial stressors, and enablers and facilitators of recovery. The most prominent challenges/barriers were related to cultural context, language, social and health services, and support. Most mental healthcare providers believed that immigration process precipitates the first episode of psychosis in a majority of immigrants and that psychosis was undetected/non-present when in the country of origin. This study demonstrated system challenges and related opportunities for service provision for immigrants with psychosis. We identified important areas for intervention to reduce disparities for immigrants with psychosis in their use of social and health services. Future directions for research in relation to immigration of people with psychosis are discussed.     

Depressed or Just Blue? The Persuasive Effects of a Self‐Diagnosis Inventory1

A self‐diagnosis inventory is both a response instrument and a tool for an individual to assess his or her risk. Three experiments show that the manner in which a depression self‐diagnosis inventory is administered and constructed affects the manner in which a respondent interprets behavioral symptoms. This in turn affects (a) self‐reports of whether the symptoms apply to the respondent; (b) the respondent's perceived risk of depression; (c) the perceived controllability of the behavioral symptoms; and (d) the respondent's likelihood of seeking treatment. Theoretical implications of the content and format of self‐diagnosis inventories are discussed, as are implications for how to persuade people to seek assistance when they are at risk.     

Three kinds of rhymes: An ERP study

In a simple prime-target visual rhyming paradigm, pairs of words, nonwords, and single letters elicited similar event-related potential (ERP) rhyming effects in young adults. Within each condition, primes elicited contingent negative variation (CNV) while nonrhyming targets elicited more negative waveforms than rhyming targets within the 320-500ms (N400/N450) time window. The target rhyming effect, apparently primarily an index of phonological processing, was similar across conditions but tended to be smaller in mean amplitude for letters. One of the first reports of such a letter rhyming effect in the ERP literature, these findings could be important developmentally because letter rhyme tasks simultaneously index the two best predictors of ease of learning to read: letter name knowledge and phonological awareness.     

Central synaptic mechanisms underlie short-term olfactory habituation in Drosophila larvae

Naive Drosophila larvae show vigorous chemotaxis toward many odorants including ethyl acetate (EA). Chemotaxis toward EA is substantially reduced after a 5-min pre-exposure to the odorant and recovers with a half-time of ～20 min. An analogous behavioral decrement can be induced without odorant-receptor activation through channelrhodopsin-based, direct photoexcitation of odorant sensory neurons (OSNs). The neural mechanism of short-term habituation (STH) requires the (1) rutabaga adenylate cyclase; (2) transmitter release from predominantly GABAergic local interneurons (LNs); (3) GABA-A receptor function in projection neurons (PNs) that receive excitatory inputs from OSNs; and (4) NMDA-receptor function in PNs. These features of STH cannot be explained by simple sensory adaptation and, instead, point to plasticity of olfactory synapses in the antennal lobe as the underlying mechanism. Our observations suggest a model in which NMDAR-dependent depression of the OSN-PN synapse and/or NMDAR-dependent facilitation of inhibitory transmission from LNs to PNs contributes substantially to short-term habituation.     

Gender differences in unrealistic optimism about marriage and divorce: are men more optimistic and women more realistic?

Two studies (n = 497) examine gender differences in "unrealistic optimism" in beliefs of marriage using a Taiwanese population. Unrealistic optimism is defined as the beliefs that positive (negative) events are more (less) likely to happen to one's self versus others. Although the bias is robust, it has been shown to be lower among people with an interdependent orientation, specifically those from a collectivist culture (e.g., Taiwan). We find that the unrealistic optimism bias is stronger (Study 1) and more resilient to change when base rates are provided (Study 2) for men as compared to women. Results are consistent with the interpretation that men have a less relationally interdependent self-construal than women. Theoretical implications for unrealistic optimism, cross-cultural psychology, as well as gender differences are discussed.     

Impact of a Father Figure’s Presence in the Household on Children’s Psychiatric Diagnoses and Functioning in Families at High Risk for Depression

The consequences of living in single-parent households on children’s wellbeing are well documented, but less is known about the impact of living in single-mother households among children with high familial risk for depression. Utilizing data from an ongoing three-generation study of high-risk families, this preliminary study examined a sample of 161 grandchildren of probands diagnosed with major depressive disorder, comparing those in single-parent households to those in dual-parent households with household status defined as the full-time presence of a resident male in the home. High-risk children were compared across households in terms of psychiatric diagnoses (measured by Schedule for Affective Disorders and Schizophrenia for School-Age Children; K-SADS-PL) and global functioning (assessed by Global Assessment Scale, child version; C-GAS). Results indicated that high-risk children in single-parent households had 4.7 times greater odds for developing a mood disorder and had significantly lower mean C-GAS scores (p = 0.01) compared to those in dual-parent households. Differences remained significant when controlling for household income, child’s age, and either parent’s depression status. There were no significant differences between high-risk children across households when household status was instead defined as legal marital status. This study has several limitations: sample size was small, probands were recruited from a clinical population, and participants had not passed completely through the period of risk for adult psychiatric disorders. These findings point towards the importance of identifying and closely monitoring children at risk for depression, particularly if they reside in households without a resident father figure.