Competitive hydrogen bonding and self-assembly in Poly(2-vinyl pyridine)-block-Poly(methyl methacrylate)/ Poly(hydroxyether of bisphenol A) blends

Blends of poly(2-vinyl pyridine)-block-poly(methyl methacrylate) (P2VP-b-PMMA) and poly(hydroxyether of bisphenol A) (phenoxy) were prepared by solvent casting from chloroform solution. The specific interactions, phase behavior and nanostructure morphologies of these blends were investigated by Fourier transform infrared (FTIR) spectroscopy, differential scanning calorimetry (DSC), dynamic light scattering (DLS), atomic force microscopy (AFM), and transmission electron microscopy (TEM). In this block copolymer/homopolymer blend system, it is established that competitive hydrogen bonding exists as both blocks of the P2VP-b-PMMA are capable of forming intermolecular hydrogen bonds with phenoxy. It was observed that the interaction between phenoxy and P2VP is stronger than that between phenoxy and PMMA. This imbalance in the intermolecular interactions and the repulsions between the two blocks of the diblock copolymer lead to a variety of phase morphologies. At low phenoxy concentration, spherical micelles are observed. As the concentration increases, PMMA begins to interact with phenoxy, leading to the changes of morphology from spherical to wormlike micelles and finally forms a homogenous system. A model is proposed to describe the self-assembled nanostructures of the P2VP-b-PMMA/phenoxy blends, and the competitive hydrogen bonding is responsible for the morphological changes.

Mining multi-modal crime patterns at different levels of granularity using hierarchical clustering

The appearance of patterns could be found in different modalities of a domain, where the different modalities refer to the data sources that constitute different aspects of a domain. Particularly, the domain of our discussion refers to crime and the different modalities refer to the different data sources such as offender data, weapon data, etc. in crime domain. In addition, patterns also exist in different levels of granularity for each modality. In order to have a thorough understanding a domain, it is important to reveal the hidden patterns through the data explorations at different levels of granularity and for each modality. Therefore, this paper presents a new model for identifying patterns that exist in different levels of granularity for different modes of crime data. A hierarchical clustering approach - growing self organising maps (GSOM) has been deployed. Furthermore, the model is enhanced with experiments that exhibit the significance of exploring data at different granularities.

Self-regulation of sex offending, future pathways and the Good Lives Model : applications and problems

Two theoretical developments, the Self-Regulation Model of the Offence and Relapse Process and the Good Lives Model, have recently offered promise in the advancement of sex offender treatment. The present paper represents a preliminary attempt to operationalize these theoretical principles by developing a number of practical treatment procedures. We have employed the method of a life map, which traces personal development from birth and which incorporates long-term future projections. This includes all actions, events, incidents and skills (whether positive or negative), which have led to a sense of self-esteem and the development of personal values. These will include risk factors and criminogenic needs which lead to offending as well as positive experiences and self-resources which can be incorporated into a future Good Lives Pathway. Two case illustrations are presented, which demonstrate the way in which all experiences from the past can be incorporated into alternative future pathways. These pathways will include positive self-resources and protective variables which develop into a non-offending future and negative self-resources with risk variables which develop into an offending future. The cases illustrate the way in which GLM and self-regulation pathways can be combined in a robust practical treatment procedure. Practical difficulties inherent in the procedure are also discussed.

Stepwise synthesis of Gly−Gly−His on gold surfaces modified with mixed self-assembled monolayers

Peptide-modified electrode surfaces have been shown to have excellent recognition properties for metal ions. An efficient method of screening a potential peptide for its selectivity for a given metal would involve the synthesis of the peptide directly on the electrode surface. This paper outlines a procedure in which the tripeptide Gly−Gly−His was synthesized one amino acid at a time on a gold surface modified with a self-assembled monolayer of the mixed alkanethiolates 3-mercaptopropionic acid (MPA) and 3-mercaptopropane (MP). Electrochemistry and high-resolution mass spectrometry were used to elucidate the structure of the adsorbed species and follow the synthesis. The amino acids can be attached only to MPA, but the presence of a diluting unreactive molecule of MP reduces steric crowding about the reaction center. The maximum coverage of synthesized tripeptide occurs at a ratio of MPA/MP of 1:1.

Real-time observation of fiber network formation in molecular organogel : supersaturation-dependent microstructure and its related rheological property

Low-molecular mass organic gelators self-organizing into three-dimensional fiber networks within organic solvents have attracted much attention in recent years. However, to date, how the microstructure of fiber network is formed in a gelation process and the key factors that govern the topological structure of a gel network remain to be determined. In this work, we address these issues by investigating the in situ formation of the gel networks in the N-lauroyl-l-glutamic acid di-n-butylamide (GP-1)/propylene glycol (PG) system. By using optical microscopy, the time evolution of the gel network microstructure was investigated under various supersaturation conditions. It is found that supersaturation is one of the key factors that govern the topological structure of a gel network. In particular, the creation of the junctions turns out to be supersaturation-dependent. The rheological experiments further revealed the correlation between topological structure and mechanical properties. It suggests that the rheological properties can be effectively modified by tuning the microstructure topology of the gel network. Our results reported here provide new physical insight into the formation kinetics of a molecular gel. Furthermore, this work could be important in constructing and engineering a supramolecular structure for the purpose of applications.

Clusters driven implementation of a brain inspired model for multi-view pattern identifications

The human brain processes information in both unimodal and multimodal fashion where information is progressively captured, accumulated, abstracted and seamlessly fused. Subsequently, the fusion of multimodal inputs allows a holistic understanding of a problem. The proliferation of technology has produced various sources of electronic data and continues to do so exponentially. Finding patterns from such multi-source and multimodal data could be compared to the multimodal and multidimensional information processing in the human brain. Therefore, such brain functionality could be taken as an inspiration to develop a methodology for exploring multimodal and multi-source electronic data and further identifying multi-view patterns. In this paper, we first propose a brain inspired conceptual model that allows exploration and identification of patterns at different levels of granularity, different types of hierarchies and different types of modalities. Secondly, we present a cluster driven approach for the implementation of the proposed brain inspired model. Particularly, the Growing Self Organising Maps (GSOM) based cross-clustering approach is discussed. Furthermore, the acquisition of multi-view patterns with clusters driven implementation is demonstrated with experimental results.

Consideration of selflessness and self-interest in outsourcing decisions

Purpose – The paper aims to discuss the need to balance selflessness and self-interest issues in outsourcing decisions. This discussion is timely given the tensions that currently exist between those who want off-shore outsourcing to continue as a means for increasing international trade, and those who only want to conduct business on-shore.

Design/methodology/approach – A conceptual approach has been taken in this paper in order to highlight key considerations for ethical decision-making with respect to off-shore outsourcing.

Findings – Considerations of selflessness and self-interest are embedded in outsourcing decisions. It is recommended that a balance between making profits and fulfilling social responsibilities is required, ideally, at each stage of decision-making. Hence, managers should think critically about the reasons behind off-shore outsourcing decisions, the process of arriving at decisions, and the impact of their decisions on stakeholders.

Research limitations/implications – This is a conceptual paper and further empirical data to validate the stages of decision-making framework are required.

Practical implications – Failure to take into account the selflessness and self-interest outcomes of off-shore outsourcing could potentially off-set strategic gains by leading to negative media publicity for a company.

Social implications – Ethical considerations as part of outsourcing decisions should result in a transparent, fair and more humane working environment for both the host and the home country representatives involved in the process.

Originality/value – This paper presents an original framework of selflessness and self-interest considerations when making off-shore outsourcing decisions. Both Eastern and Western business perspectives have been incorporated as part of the decision-making framework.

Enactive research : transversal possibilities for expanding the imaging of science

This paper explores the notion of the expanded image as a transdisciplinary interaction between people and environments. In support of this proposition, images and imaging will be discussed through a series of transformative steps: from the diagram to the biogram and from the biogram to biotopology. Two research projects, exemplary of a transdisciplinary approach, inform the move to biotopology (the continuous surface of interactions tied to imaging practices): first, theories of enaction in cognitive science foreground co-selective processes and the precariousness of self- organizing systems and supply new ways of imaging body-environment relationships (Stewart et al 2010; Thompson 2007; and Varela et al 1993); and second, the procedural architecture of artist- turned-architects Arakawa and Gins foregrounds the reconfigurability of the co-selective process that becomes an enactive practice. These approaches suggest that if the image were expanded to include the intersection of the human organism’s behaviors, artifacts (such as images) and built- environments, then the ‘person’ whose myriad surfaces flicker towards future action, might become the best description of an expanded form of imaging, always in process and flickering towards future action. The many and non-locatable surfaces of person would defy disciplinary boundaries and interfere with habitual patterns of imaging. Ultimately, the aim of expanding imaging practices is to expand an embodied capacity to configure and reconfigure conceptual and material realms.

Application of a brain inspired model for profiling multi-view crime patterns

With the massive amount of crime data generated daily, this has put law enforcement under intensive stress. This means that law enforcement has to compete against the time to solve crime. In addition, the focus of crime investigation has been expanded from the ability to catch the criminals towards the ability to act before a crime happens (i.e pre-crime). Given such situation, creation of crime profiles is very important to law enforcement, especially in understanding the behaviours of criminals and identifying the characteristics of similar crimes. In fact, crime profiles could be used to solve similar crimes and thus pre-crime action could be conducted. In this paper, a brain inspired conceptual model is proposed and a structurally adaptive neural network is deployed for its implementation. Subsequently, the proposed model is applied for the identification and presentation of multi-view crime patterns. Such multi-view crime patterns could be useful for the construction of crime profiles. Moreover, the suitability of the proposed model in crime profiling is discussed and demonstrated through some experimental results.

Variations, trends and patterns of fish landings in large tropical reservoirs

Temporal variations of fish yields in four major reservoirs in Thailand (Ubolratana; Sirindhorn; Srinakarin; Vajiralongkorn) were investigated with the use of long-term fish landing data (≥20years). The long-term variations in fish yield, measured as the coefficient of variation of yearly yield, ranged mostly between 50% and 100%. For short-term variations, the means of the relative variation (85%) were larger than the absolute variation (63%). This finding indicates that short-term variations were inversely related to fish yield and that a higher uncertainty occurs when fish catches are low. The stocked exotic species exhibited higher variations than the indigenous species. The trend analyses indicated some species had sharply declined fish landings, while some species were quite stable (i.e. reservoir-adapted species). Stocked species tended to increase in relatively shallow reservoirs, compared to the deep reservoir. Fish landing data for each reservoir were patternized, using the self-organizing map, indicating temporal trends of chronological order. The differences among clusters in each reservoir were with respect to the weight of each species in the fish landings in each year, and temporal changes in species composition in the reservoirs, which would primarily be attributed to the environmental changes followed by anthropogenic pressures. The mean trophic level (τ) fluctuated, resulting from changes in species composition and weight of fish landing, as well as fish stocking programmes.

The notion of self in the journey back from addiction

In this study we explored how those recovering from addiction negotiated self, and the role supported accommodation played in the journey back from addiction. Transcripts from 11 in-depth interviews were analyzed by 2 coders who identified the most salient themes relevant to the self in recovery within the personal contexts of participants. The participants noted that reclaiming the self that had been lost to addiction was of primary importance to them. The recovery journey exposed a self that had reached the lowest point in life; one that was hardly recognizable; one that was undesirable. Engaging with supported accommodation provided participants with a sanctuary within which to reclaim the self, and was seen as central to their recovery.

A study of children’s musical preference: A data mining approach

Musical preference has long been a research interest in the field of music education, and studies consistently confirm the importance of musical preference in one’s musical learning experiences. However, only a limited number of studies have been focussed on the field of early childhood education (e.g., Hargreaves, North, & Tarrant, 2006; Roulston, 2006). Further, among these limited early childhood studies, few of them discuss children’s musical preference in both the East and the West. There is very limited literature (e.g., Faulkner et al., 2010; Szymanska, 2012) which explores the data by using a data mining approach. This study aims to bridge the research gaps by examining children’s musical preference in Hong Kong and in South Australia by applying a data mining technique – Self Organising Maps (SOM), which is a clustering method that groups similar data objects together. The application of SOM is new in the field of early childhood education and also in the study of children’s musical preference. This paper specifically aims to expand a previous study (Yim & Ebbeck, 2009) by conducting deeper investigations into the existing datasets, for the purpose of uncovering insights that have not been identified through data mining approach.