Negative emotional reactivity as a marker of vulnerability in the development of borderline personality disorder symptoms

Negative emotionality is a distinguishing feature of borderline personality disorder (BPD). However, this person-level characteristic has not been examined as a marker of vulnerability in the development of this disorder. The current study utilized a multi-method approach to examine the interplay between negative emotional reactivity and cumulative exposure to family adversity on the development of BPD symptoms across three years (ages 16–18) in a diverse, at-risk sample of adolescent girls (N=113). A latent variable of negative emotional reactivity was created from multiple assessments at age 16: (1) self-report, (2) emotion ratings to stressors from ecological assessments across one week, and (3) observer-rated negative affectivity during a mother-daughter conflict discussion task. Exposure to family adversity was measured cumulatively between ages 5 and 16 from annual assessments of family poverty, single parent household, and difficult life circumstances. Results from latent growth curve models demonstrated a significant interaction between negative emotional reactivity and family adversity, such that exposure to adversity strengthened the association between negative emotional reactivity and BPD symptoms. Additionally, family adversity predicted increasing BPD symptoms during late adolescence. These findings highlight negative emotional reactivity as a marker of vulnerability that ultimately increases risk for the development of BPD symptoms

Statistical modeling of ground motion relations for seismic hazard analysis

We introduce a new approach for ground motion relations (GMR) in the probabilistic seismic hazard analysis (PSHA), being influenced by the extreme value theory of mathematical statistics. Therein, we understand a GMR as a random function. We derive mathematically the principle of area-equivalence; wherein two alternative GMRs have an equivalent influence on the hazard if these GMRs have equivalent area functions. This includes local biases. An interpretation of the difference between these GMRs (an actual and a modeled one) as a random component leads to a general overestimation of residual variance and hazard. Beside this, we discuss important aspects of classical approaches and discover discrepancies with the state of the art of stochastics and statistics (model selection and significance, test of distribution assumptions, extreme value statistics). We criticize especially the assumption of logarithmic normally distributed residuals of maxima like the peak ground acceleration (PGA). The natural distribution of its individual random component (equivalent to exp(epsilon_0) of Joyner and Boore 1993) is the generalized extreme value. We show by numerical researches that the actual distribution can be hidden and a wrong distribution assumption can influence the PSHA negatively as the negligence of area equivalence does. Finally, we suggest an estimation concept for GMRs of PSHA with a regression-free variance estimation of the individual random component. We demonstrate the advantages of event-specific GMRs by analyzing data sets from the PEER strong motion database and estimate event-specific GMRs. Therein, the majority of the best models base on an anisotropic point source approach. The residual variance of logarithmized PGA is significantly smaller than in previous models. We validate the estimations for the event with the largest sample by empirical area functions. etc

The Decreasing Significance of Stigma in the Lives of Bisexual Men: Keynote Address, Bisexual Research Convention, London

This article is constructed around a keynote address given at the Bisexual Research Convention, held in London 2010. The keynote was delivered by sociologist Eric Anderson, on behalf of himself and the other authors of this article. The keynote reflected upon a body of ongoing research, funded by the American Institute of Bisexuality and collected by this team of researchers, into the changing relationship between men and homophobia. It first contextualizes 20th-century attitudes toward homo/bisexuality before showing a declining significance of biphobia and homophobia in men's lives today. In accordance with the keynote, this article draws from preliminary findings of multiple ongoing studies of bisexual men in the United States and the United Kingdom

Solutions For Grand Challenges In Goat And Sheep Production

Goats and sheep are valuable livestock as they produce food, such as meat, milk, fleece, and other products. In addition, goats and sheep are important both for agriculture and biomedical research. Even though these small ruminants provide essential goods, there are major obstacles preventing the efficient, sustainable, and profitable production of goats and sheep. This review is significant because it summarizes major challenges facing goat and sheep production, their negative impacts, and specific science-based solutions to overcome them. These challenge areas are education and training, research, translational research/biotechnology, goat and sheep health, and effective/efficient/sustainable/profitable agribusiness. The solutions include effective teaching of goat and sheep science to next generation and empowering the public, supporting and pursuing innovative and translational research, preventing and treating diseases, facilitating technology transfer, and developing sound agribusinesses. This resource is expected to be helpful to scientists, students, and goat and sheep producers. In addition, the information on the current state of goat and sheep agriculture will help the public better understand and appreciate challenges and opportunities in small ruminant production

The Learning from the Large Scale Lotung Soil-Structure Interaction Experiments

Blind prediction analyses and subsequent correlation studies of a 1/4-scale reinforced concrete containment model constructed at Lotung, Taiwan subject to forced vibration tests and actual earthquakes are evaluated with the objective of validating soil-structure interaction (SSI) analysis methodologies commonly used in U.S. practice. The SSI methods used range from simple soil-spring representation to more complex finite-element methods and sub structuring techniques. Both forced vibration test (FVT) data and actual earthquake induced response data have been obtained for use in validating selected SSI analysis methodologies. Considering that for forced vibration tests only the stiffness and damping characteristics of the foundation are required (complexities of site response, wave scattering and stiffness degradation of soils are absent), the FVT evaluation shows that acceptable frequency predictions can be obtained by most of the methods; however, soil damping as obtained from geophysical methods does not seem to account for the total energy dissipation during SSI. A number of insights have been obtained with respect to the validity of SSI analysis methodologies for earthquake response. Among these are the following: vertical wave propagation assumption in performing SSI is adequate to describe the wave field; equivalent linear analysis of soil response for SSI analysis, such as performed by the SHAKE code, provides acceptable results; a significant but non-permanent degradation of soil modulus occurs during earthquakes; the development of soil stiffness degradation and damping curves as a function of strain, based on geophysical and laboratory tests, requires improvement to reduce variability and uncertainty; backfill stiffness plays an important role in determining impedance functions and possibly input motions; scattering of ground motion due to embedment is an important element in performing SSI analysis; more than the calculational techniques, the differences in response predictions are due to the modeling of the soil-structure system

The expression of syndecan-1 in psoriatic epidermis

Psoriasis is a chronic inflammatory skin disease characterized by exaggerated keratinocyte proliferation. Current opinion indicates that psoriasis is driven by T cell-mediated immune responses targeting keratinocytes. However, psoriasis cannot be explained solely on the basis of T-cell activation, and it is likely that an intrinsic alteration in epidermal keratinocytes plays a very important role in disease expression. Syndecans comprise a major family of cell surface heparan sulfate proteoglycans. Several studies indicate their role in adhesion, cell-extracellular matrix interactions, migration, keratinocyte proliferation and differentiation, inflammation, and wound healing. To determine the expression of syndecan-1 in psoriasis, skin samples from 29 patients with fully developed psoriasis and skin samples from 14 healthy volunteer persons with no personal or family history of psoriasis were immunohistochemically examined using monoclonal antibody against syndecan-1. The expression of syndecan-1 was analyzed in whole mount section of psoriatic and non-psoriatic skin biopsies under high magnification (400×). In addition, the intensity and topography of reaction in the cell, as well as localization of positive cells in the epidermis were evaluated. Strong syndecan-1 reactivity in epidermal cells in all non-psoriatic and psoriatic samples was observed. Statistical analysis showed no significant differences between two analyzed groups (P > 0.05). In normal skin syndecan-1 was expressed in full thickness of the epidermis. The strongest reaction was observed in membranes and intercellular junctions of spinous and granular layer while basal cells showed weaker expression that was confined to cytoplasm. In psoriatic skin syndecan-1 was expressed in the membrane and intercellular junction of cells located in thickened and elongated rete ridges of the epidermis. The strongest reaction was in basal and suprabasal layers and expression diminished through spinous layer. Cells in spinous layer lose syndecan-1 expression, which is opposite pattern to normal skin. Our results suggest that aberrant skin expression of syndecan-1 may be involved in the development of psoriasis

Mental Models of Soil Management for Food Security in Peri-Urban India

Agricultural development during the Green Revolution brought India food sovereignty but food insecurity persists. Increased crop production was promoted without considering the more holistic impact on food security. Scientists, extension agents, and farmers have different perspectives on how soil health relates to food security. Understanding stakeholders’ perspectives is essential to improving extension communication and mitigating consequences. This study uses qualitative interviews to construct mental models of soil health for food security. The study site is a peri-urban watershed, which is currently participating in the Integrated Farmer Participatory Watershed Management Model (IFPWM). Our study details and defines stakeholders’ mental models of soil health, soil nutrient management, soil sodicity, and food security. A triad belief held by farmers shows the strongly perceived causal relationship between soil health, plant health, and human health. Healthy soil produces healthy food and humans that eat such food will be healthy. Scientists only perceive one condition to achieving food security in the community—food quantity. However, all other stakeholders perceived another risk to food security—food quality. Eating poor quality food is perceived as linked to human health problems in the community. This research suggests the importance of including a fifth dimension of food security, cultural acceptability, within agricultural technology development and dissemination

Breast imaging technology: Probing physiology and molecular function using optical imaging - applications to breast cancer

The present review addresses the capacity of optical imaging to resolve functional and molecular characteristics of breast cancer. We focus on recent developments in optical imaging that allow three-dimensional reconstruction of optical signatures in the human breast using diffuse optical tomography (DOT). These technologic advances allow the noninvasive, in vivo imaging and quantification of oxygenated and deoxygenated hemoglobin and of contrast agents that target the physiologic and molecular functions of tumors. Hence, malignancy differentiation can be based on a novel set of functional features that are complementary to current radiologic imaging methods. These features could enhance diagnostic accuracy, lower the current state-of-the-art detection limits, and play a vital role in therapeutic strategy and monitoring