Recognition of facial affect in psychopathic offenders.

The authors examined the reliability of facial affect processing deficits found in psychopathic individuals (R. Blair et al., 2004) and whether they could be modified by attentional set. One hundred eleven offenders, classified using the Psychopathy Checklist-Revised (R. Hare, 2003) and Welsh Anxiety Scale (G. Welsh, 1956), performed a facial affect recognition task under 2 conditions. On the basis of research linking psychopathy, amygdala dysfunction, and deficits in facial affect recognition, the authors predicted that psychopathic offenders would display performance deficits when required to identify the emotional expression of particular faces. In addition, given evidence linking the affective processing deficits in psychopathy to focus of attention, the authors predicted that any deficits in facial affect processing would disappear when participants could anticipate which affective cues would be relevant on a given trial. Contrary to expectation, psychopathic offenders performed as well as controls in both conditions. The authors conclude that the conditions that reveal affective deficits in psychopathic individuals require further specification. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Localization of a second NM23 gene, NME2, to chromosome 17q21-q22

NM23 is a candidate tumor suppressor protein and has recently been identified as an NDP kinase. The expression of NM23 is inversely related to the metastatic potential of tumor cells. Two NM23 genes, NME1 and NME2, that code for the A and B chains of the kinase, respectively, have been cloned. To determine the human chromosomal location of the NME2 gene, we have analyzed DNA from rodent-human cell lines and hybrid cell lines containing portions of chromosome 17 by a combination of PCR amplification and Southern hybridization. The NME2 gene was mapped to the chromosome region 17q21-q22, the same region in which the NME1 gene has been localized. This region is linked to the early onset breast/ovarian locus (BRCA1) and allelic deletions of NME1 have been associated with metastatic potential of colorectal carcinomas.     

Fundamentals of Materials Selection for Light‐Emitting Electrochemical Cells

The in situ formation of a light‐emitting p–n or p–i–n junction in light‐emitting electrochemical cells (LECs) necessitates mixed ionic–electronic conductors in the active layer. This unique characteristic requires electronic, luminescent, and ionic ingredients that work synergistically in the LECs. The material requirements that lead to promising electroluminescent properties are discussed and the important components reported so far are surveyed. Particular attention is paid to the working mechanisms behind junction formation and stabilization to create efficient and stable electroluminescence in conjugated‐polymer‐based LECs. Keeping these fundamentals in mind explains how LEC devices have evolved from classic conjugated polymer blends into highly stable crosslinked, hybrid composite, and stretchable device architectures. To conclude, a future development strategy is proposed based on a dual approach: develop new materials specifically for LEC devices and explore novel ways to efficiently process and stabilize the p–i–n junction, which will drive improvements in both LEC external quantum efficiency and operating lifetime toward truly low‐cost solid‐state lighting applications.     

Using DevOps toolchains in Agile model-driven engineering

For model-driven engineering (MDE) to become more Agile, the community needs to embrace development and operations (DevOps) practices. One of the core practices of DevOps is the use of pipelines to enable CI/CD to make teams more Agile and break down the barriers between development and operations with faster deployments. Current MDE tooling is not designed at its core to participate in DevOps pipelines. Consequently this makes the adoption of MDE in industry more difficult. In this article, we cover an industrial experience report describing how we enabled our pipelines using DevOps and MDE.

     

A novel framework for analyzing the green value of food supply chain based on life cycle assessment

The environmental impact is one of the major pillars of concerns when addressing the sustainability of food supply chain. In life cycle assessment of food supply chain, a particular environmental impact category from farming to distribution is aggregated. These values are widely used in determining which supply chain is performing more environmentally sound on the basis of a particular impact category. However, when different categories of environmental impacts are represented in one matrix, different impact categories can exhibit increasing and decreasing trends simultaneously for the same product. Moreover, different impact categories have different units of measurement. All of these factors make it difficult to clearly prefer one supply chain to the other. Therefore, a quantifiable indicator is desirable for each individual product which can represent all impact categories for a single product through a single index and can be easily comparable during decision making. This paper presents a new framework to compute a single index based on Life cycle assessment using vector space theory. This index can be utilized to compare the environmental sustainability among various food supply chains. The index is named as green value of a supply chain. The use of this proposed green value is explained through three case studies with different goals, scopes, system boundaries, and functional units. It is also shown that how the order of green value varies by changing the functional unit of the same product. The contribution of green value is the better interpretation of Life cycle assessment result for the purpose of decision making and is easily understandable to customers, manufacturers, policy makers, and other stakeholders.     

Lipid-based nanocarrier for quercetin delivery: system characterization and molecular interactions studies

The flavonoid quercetin (QU) is a naturally occurring compound with several biological activities. However, the oral bioavailability of this compound is very low due to the high pre-systemic metabolism in the colon and liver and its low water solubility. In this context, the development of QU-loaded nanocarriers (NEs) is a promising approach to improve the drug oral bioavailability. This study investigates the variation of the concentration of 12-hydroxystearic acid–polyethylene glycol copolymer, lecithin and castor oil (CO) as to increase the amount of QU encapsulated while maintaining physicochemical characteristics described in previous studies. To better understand the ability to load and release the drug, we investigated the molecular interactions between QU and NE. Lipid-based NEs were prepared using CO as oily phase and PEG 660-stearate and lecithin as surfactants. Hot solvent diffusion and phase inversion temperature were methods employed to produce NEs. The QU-NEs were investigated for physicochemical characteristics and in vitro drug release. Molecular interactions between QU and the NEs were monitored through the complementary infrared (Fourier transform infrared) and NMR. The results revealed that it was possible to incorporate higher amounts of QU in a lipid-based NE with a reduced size (20?nm). The system developed allow a sustained release of QU probably due to the shell formed by the surfactants around the NE and the flavonoid ordering effect in the emulsion hydrophobic regions, which may reduce the system permeability.