“It’s not something I chose you know”: making sense of pedophiles’ sexual interest in children and the impact on their psychosexual identity

Sexual interest in children is one of the most strongly predictive of the known risk factors for sexual reconviction. It is an important aspect of risk assessment to identify the presence of such interest, and an important task for treatment providers to address such a sexual interest where it is present. It has been argued that understanding pedophiles’ deviant sexual interest in children can enhance risk assessment, management, and treatment planning. This research study aims to explore the phenomenology of deviant sexual interest in children, the impact it has on pedophilic offenders’ identities, and their views on the treatability of that interest. The study used semistructured interviews and repertory grids to make sense of participants’ experiences. The results revealed three superordinate themes: “‘living’ with a deviant sexual interest,” “relational sexual self,” and “possible and feared sexual self.” The analysis unpacks these themes and repertory grid analysis is used to explore a subset of participants’ identities in more detail. The results reveal that there needs to be an acceptance from both client and therapist that their sexual interest in children may never go away. Through this acceptance, clients could work on enhancing sexual self-regulation, recognizing their triggers, and so managing their sexual thoughts, feelings, and behavior. Implications for treatment are also discussed

Tuning the electrical conductance of metalloporphyrin supramolecular wires

In contrast with conventional single-molecule junctions, in which the current flows parallel to the long axis or plane of a molecule, we investigate the transport properties of M(II)-5,15-diphenylporphyrin (M-DPP) single-molecule junctions (M=Co, Ni, Cu, or Zn divalent metal ions), in which the current flows perpendicular to the plane of the porphyrin. Novel STM-based conductance measurements combined with quantum transport calculations demonstrate that current-perpendicular-to-the-plane (CPP) junctions have three-orders-of-magnitude higher electrical conductanc than their current in-plane (CIP) counterparts, ranging from 2.10−2 G0 for Ni-DPP up to 8.10−2 G0 for Zn-DPP. The metal ion in the center of the DPP skeletons is strongly coordinated with the nitrogens of the pyridyl coated electrodes, with a binding energy that is sensitive to the choice of metal ion. We find that the binding energies of Zn-DPP and Co-DPP are significantly higher than those of Ni-DPP and Cu-DPP. Therefore when combined with its higher conductance, we identify Zn-DPP as the favoured candidate for high conductance CPP single-molecule devices

The Globalization of Higher Education through the Lens of Technology and Accountability

Technology has ushered in a new era in higher education making knowledge of technology essential for administrators. Technology is transforming higher education by providing a global interconnectedness that reshapes educational, social, economic and cultural life. The globalization of networks based on travel, mobile phones, broad-band Internet and other information and communications technologies, are creating change on an unprecedented scale. Similarly, technology enables complex data transfers essential to knowledge-intensive production and distribution. Globalization forces higher education institutions to examine their participation in the international environment and to assess their involvement in a seemingly transparent world. The potential for technology in global higher education coupled with the mobility of people, information and ideas will expand the influence of technology, globalization and higher education

Inferring Grandiose Narcissism From Text: LIWC Versus Machine Learning

People have long used language to infer associates’ personality. In quantitative research, the relationship is often analyzed by looking at correlations between a psychological construct and the Linguistic Inquiry and Word Count (LIWC)—a program that tabulates word frequencies. We compare LIWC to a machine learning (ML) language model on the task of predicting grandiose narcissism (valid N = 471).We use the ML model discussed in Cutler and Kulis and formulate it as an extension of LIWC. With a strict validation scheme, the LIWC prediction was not more accurate than chance. The ML representation did moderately better (R2 = .043). This indicates that the ML model was able to preserve personality information where LIWC failed to do so, suggesting that precautions are warranted for social-personality research that relies solely on LIWC

Photochemical reaction of Rh2(CO)4(μ-TPP)(TPP=tetraphenyl-porphyrinato) with pyridine (Py) in benzene. Generation of a mononuclear rhodium(II) porphyrin radical complex Rh(TPP)(Py)

10.1007/BF02910888Transition Metal Chemistry174280-282TMCH