Criminal self-efficacy and perceptions of risk and reward among women methamphetamine manufacturers

People consider potential risks and rewards while deciding whether to engage in crime. Such perceptions and their impact on behavior can vary according to individual differences like criminal self-efficacy, or one’s perception of criminal competency. We examine perceptions of skill, risk, and reward using semi-structured interviews with 46 women “shake and bake” meth cooks currently residing in a halfway house in Alabama. Those who expressed cooking self-efficacy identified many tangible and intangible rewards in meth cooking, which motivated them to persist. They believed the risks were lower and surmountable, employing various risk management strategies. Those who did not express cooking self-efficacy saw cooking as anxiety-inducing, rather than rewarding. They saw the risks as inevitable and made little effort to prevent them but continued cooking to maintain access to meth. Findings indicate that individual levels of criminal self-efficacy should be considered in studies of decision-making and in intervention and treatment strategies

Edge and face linear vibration welding of wood panels

Edge-to-edge linear vibration welding of particle- board, OSB, MDF and plywood gives better strength than face-to-face panel welding. In general, the edge-to-edge weldline is slightly weaker than the panels itself. The face- to-face weldline is stronger than the strength of the material in the same direction

Modified superposition: A simple time series approach to closed-loop manual controller identification

Single-channel pilot manual control output in closed-tracking tasks is modeled in terms of linear discrete transfer functions which are parsimonious and guaranteed stable. The transfer functions are found by applying a modified super-position time series generation technique. A Levinson-Durbin algorithm is used to determine the filter which prewhitens the input and a projective (least squares) fit of pulse response estimates is used to guarantee identified model stability. Results from two case studies are compared to previous findings, where the source of data are relatively short data records, approximately 25 seconds long. Time delay effects and pilot seasonalities are discussed and analyzed. It is concluded that single-channel time series controller modeling is feasible on short records, and that it is important for the analyst to determine a criterion for best time domain fit which allows association of model parameter values, such as pure time delay, with actual physical and physiological constraints. The purpose of the modeling is thus paramount

Surface finishes by mechanically induced wood surface fusion

Mechanically induced vibration wood fusion welding techniques can also be used to obtain wood surface finishes of increased surface hardness and performance in presence of polymerizing unsaturated oils such as sunflower oil, or other polymerizing finishes. Wood surface hardness values more than double than those for the untreated control timber can be obtained by this method. This result is obtained due to two effects induced by the sharp increase in temperature induced by the mechanical welding vibration (i) the polymerization to a hardened network of the unsaturated oil and (ii) the densification proven to occur in the surface layer of the timber during mechanically-induced vibration-welding. The first of these effects predominates at shorter welding times while at slightly longer welding times both effects occur with the second one progressively becoming the bigger contributor. In the latter case the some μm thin densified surface is a surface composite formed by the networked unsaturated oil permeating the wood fibre/fused lignin composite. © Springer-Verlag 2005

Fatty Acid Copper(II) Carboxylates with Nicotinamide - Characterization and Fungicidal Activity. Crystal Structures of Two Heptanoate Forms and Nonanoate

Several new compounds of the composition Cu2(OOCCnH2n+1)4 (nia)2 (nia = nicotinamide; n = 6 to 11) were synthesized, characterized and tested for fungicidal activity. Crystal structure determinations revealed dinuclear structures of the copper(II) acetate hydrate type for compounds [Cu2(OOCC6H13)4(nia)2]-A (1A), [Cu2(OOCC6H13)4(nia)2]-B (1B) and [Cu2(OOCC8H17)4(nia)2] (3). Other applied characterization methods indicate dimeric structures for ali synthesized compounds [μeff (298 K) = 1.43-1.50 BM; characteristic band in UV-Vis spectra in the region λ = 350-400 nm]. The same conclusion may also be deduced from the IR (Δ = νasym(COO-) - νsym(COO-) = 183-189 cm-1) and EPR spectra, though some differences were observed for heptanoate modification 1A, probably due to a different hydrogen bonding scheme. Screening for fungicidal activity against the wood-rotting fungus Trametes versicolor (L. ex Fr.) Pilat shows that the compounds dissolved in DMSO completely stop mycelium growth at a concentration of 1.0 × 10-3 mol L-1. Some of them (n = 8, 9, 10) show strong activity also in more diluted Solutions (1.0 × 10-4 mol L-1)

Fatty Acid Copper(II) Carboxylates with Nicotinamide - Characterization and Fungicidal Activity. Crystal Structures of Two Heptanoate Forms and Nonanoate

Several new compounds of the composition Cu2(OOCCnH2n+1)4 (nia)2 (nia = nicotinamide; n = 6 to 11) were synthesized, characterized and tested for fungicidal activity. Crystal structure determinations revealed dinuclear structures of the copper(II) acetate hydrate type for compounds [Cu2(OOCC6H13)4(nia)2]-A (1A), [Cu2(OOCC6H13)4(nia)2]-B (1B) and [Cu2(OOCC8H17)4(nia)2] (3). Other applied characterization methods indicate dimeric structures for ali synthesized compounds [μeff (298 K) = 1.43-1.50 BM; characteristic band in UV-Vis spectra in the region λ = 350-400 nm]. The same conclusion may also be deduced from the IR (Δ = νasym(COO-) - νsym(COO-) = 183-189 cm-1) and EPR spectra, though some differences were observed for heptanoate modification 1A, probably due to a different hydrogen bonding scheme. Screening for fungicidal activity against the wood-rotting fungus Trametes versicolor (L. ex Fr.) Pilat shows that the compounds dissolved in DMSO completely stop mycelium growth at a concentration of 1.0 × 10-3 mol L-1. Some of them (n = 8, 9, 10) show strong activity also in more diluted Solutions (1.0 × 10-4 mol L-1)

The effect of modafinil on the rat dopamine transporter and dopamine receptors D1–D3 paralleling cognitive enhancement in the radial arm maze

A series of drugs have been reported to increase memory performance modulating the dopaminergic system and herein modafinil was tested for its working memory (WM) enhancing properties. Reuptake inhibition of dopamine, serotonin (SERT) and norepinephrine (NET) by modafinil was tested. Sixty male Sprague–Dawley rats were divided into six groups (modafinil-treated 1–5–10 mg/kg body weight, trained and untrained and vehicle treated trained and untrained rats; daily injected intraperitoneally for a period of 10 days) and tested in a radial arm maze (RAM), a paradigm for testing spatial WM. Hippocampi were taken 6 h following the last day of training and complexes containing the unphosphorylated or phosphorylated dopamine transporter (DAT-CC and pDAT-CC) and complexes containing the D1–3 dopamine receptor subunits (D1–D3-CC) were determined. Modafinil was binding to the DAT but insignificantly to SERT or NET and dopamine reuptake was blocked specifically (IC50 = 11.11 μM; SERT 1547 μM; NET 182 μM). From day 8 (day 9 for 1 mg/kg body weight) modafinil was decreasing WM errors (WMEs) in the RAM significantly and remarkably at all doses tested as compared to the vehicle controls. WMEs were linked to the D2R-CC and the pDAT-CC. pDAT and D1–D3-CC levels were modulated significantly and modafinil was shown to enhance spatial WM in the rat in a well-documented paradigm at all the three doses and dopamine reuptake inhibition with subsequent modulation of D1–3-CC is proposed as a possible mechanism of action. © 2015 Karabacak, Sase, Aher, Sase, Saroja, Cicvaric, Höger, Berger, Bakulev, Sitte, Leban, Monje and Lubec

Inequality in learning outcomes: Unveiling educational deprivation through complex network analysis

Understanding which factors are determinant to guarantee the human right to education entails the study of a large number of non-linear relationships among multiple agents and their impact on the properties of the entire system. Complex network analysis of large-scale assessment results provides a set of unique advantages over classical tools for facing the challenge of measuring inequality gaps in learning outcomes and recognizing those factors associated with educational deprivation, combining the richness of qualitative analysis with quantitative inferences. This study establishes two milestones in educational research using a census high-quality data from a Latin American country. The first one is to provide a direct method to recognize the structure of inequality and the relationship between social determinants as ethnicity, socioeconomic status of students, rurality of the area and type of school funding and educational deprivation. The second one focus in unveil and hierarchize educational and non-educational factors associated with the conditional distribution of learning outcomes. This contribution provides new tools to current theoretical framework for discovering non-trivial relationships in educational phenomena, helping policymakers to address the challenge of ensuring inclusive and equitable education for those historically marginalized population groups.info:eu-repo/semantics/acceptedVersio