Lab-on-a-Chip turns soft : computer-aided, software-enabled microfluidics design

The current practice of designing microfluidic Lab-on-a-Chip (LoCs) limits reusing designs and makes sharing tasks among researchers difficult. One way to achieve that objective is to borrow best practices from engineering. Also it takes a lot of skills to design LoCs. Design-by-assembly in which a LoC can be designed by configuring, laying out subsystems can help new researchers to develop custom chips. Flexible, reusable, and rapid-prototyping-feasible LoC designs can be achieved by fabricated modular microfluidic blocks. However, challenging problems still persist, which limit the usefulness of prefabricated blocks. We propose software microfluidic modules (SoftMABs) based design technique to solve issues fabricated modules face. By configuring SoftMABs, integrating them, the new assembly of SoftMABs can form a 3D LoC design ready to be prototyped. The proposed method can make designing a complex LoC less challenging, and collaborating among laboratories easier. We created SoftMABs and designed a custom microfluidic chip by assembling SoftMABs like LEGOs, dragging-and-dropping them. Later we reconfigured them - by replacing a SoftMAB with another module - to make a new LoC. We believe this computeraided method is an interesting and useful LoC design technique.

SUMLOW: Early design-stage sketching of UML diagrams on an e-whiteboard

Most visual diagramming tools provide point-and-click construction of computer-drawn diagram elements using a conventional desktop computer and mouse. SUMLOW is a unified modelling language (UML) diagramming tool that uses an electronic whiteboard (E-whiteboard) and sketching-based user interface to support collaborative software design. SUMLOW allows designers to sketch UML constructs, mixing different UML diagram elements, diagram annotations, and hand-drawn text. A key novelty of the tool is the preservation of hand-drawn diagrams and support for manipulation of these sketches using pen-based actions. Sketched diagrams can be automatically 'formalized' into computer-recognized and -drawn UML diagrams and then exported to a third party CASE tool for further extension and use. We describe the motivation for SUMLOW, illustrate the use of the tool to sketch various UML diagram types, describe its key architecture abstractions and implementation approaches, and report on two evaluations of the toolset. We hope that our experiences will be useful for others developing sketching-based design tools or those looking to leverage pen-based interfaces in software applications.

Child protection and public health: nurses' responsibilities

Background. Health care workers have been recognized as having a key role in the protection and care of Scotland's children, particularly in respect of identification and detection of child abuse. Nurses, especially health visitors, are often the first professionals to suspect that child abuse has taken place. While previous research has found that health visitors have primarily perceived their role as that of providing support and advice to vulnerable families, there are pressures on them to fulfil a more narrow surveillance role. Concurrent with a lack of clarity about the role of health visitors in child protection, there has been increasing recognition that other nurses can also make an important contribution, including those who do not work directly with children.

Aims. The aim of the study was to explore nurses' understanding of their professional responsibilities in relation to child protection, and the potential for nurses to be involved in the protection of children from abuse.

Methods. A qualitative interview-based design was used, and 99 nurses working in an National Health Service trust in a Scottish city were interviewed, either individually or in groups, about their professional involvements in child protection issues. Interview data were subjected to thematic analysis.

Findings. There was lack of consensus among interviewees about the nursing remit in child protection issues, particularly with respect to the extent to which nurses should actively seek to detect cases of child abuse. An emphasis on identification and detection was not easily accepted by many nurses, and was perceived by some to be a change from their more traditional role of supporting families, as well as being potentially in conflict with some public health responsibilities.

Conclusion. In spite of the perception of some nurses that there is a sharp divide between child protection work and public health interventions, many of the child protection roles identified by nurses, such as supporting families, parenting education and service development, are clearly within the ambit of contemporary notions of public health. Furthermore, it is clear that there is a role in child protection for a much wider group of nurses than health visitors.

Towards a digital representation of physical phenomena to assess comfort in future environments

This paper presents the concept and a test implementation of a digital representation of the physical world designed to assess comfort quality in
future environments. An integrated set of physical phenomena is modeled three-dimensionally to investigate the dynamic behavior of design objects
holistically.

The formulation supports the integration of computational simulation in the performance-based design process. It employs the principles of
geometrical and physical selfcontainedness to avoid that complex geometrical and physical circumstances have to be specified at design time. The concepts of congeneric cells and congeneric conjunctions are
introduced to simulate various physical phenomena simultaneously with a uniformly structured set of equations.

The concept, the prototype implementation and selected test cases are presented. Although it was not possible to implement all features and model parts completely, the research and the discussion of its achievements make valuable contributions towards more effective integration of computational simulation in the performance-based design process.

Towards a universal and integrated digital representation of physical phenomena: a model to investigate comfort and energy efficiency in future environments

This thesis describes the exploration and the development of computational means to investigate the behaviour of design objects before they are available for investigation in the physical world. The motivation is to inform the design process about the design object's performance in order to achieve better--more performance-oriented--design outcomes in the sense of energy efficiency and comfort performance than can be achieved by conventional design techniques.

Transaction management in a replicated and mobile environment

Reports the design of three-level transaction processing model which provides efficient transaction management in a replicated and mobile environment. The model uses a promary/non-primary replication control protocol to enable transaction processing with fast user response time at any distributed site including mobile hosts. A Web-based design with an implementation of a prototype application system shows a concrete example of how to adopt the transaction model over distributed databases.

Analysis on relationship between extreme pathways and correlated reaction sets

Background: Constraint-based modeling of reconstructed genome-scale metabolic networks has been successfully applied on several microorganisms. In constraint-based modeling, in order to characterize all allowable phenotypes, network-based pathways, such as extreme pathways and elementary flux modes, are defined. However, as the scale of metabolic network rises, the number of extreme pathways and elementary flux modes increases exponentially. Uniform random sampling solves this problem to some extent to study the contents of the available phenotypes. After uniform random sampling, correlated reaction sets can be identified by the dependencies between reactions derived from sample phenotypes. In this paper, we study the relationship between extreme pathways and correlated reaction sets.

Results: Correlated reaction sets are identified for E. coli core, red blood cell and Saccharomyces cerevisiae metabolic networks respectively. All extreme pathways are enumerated for the former two metabolic networks. As for Saccharomyces cerevisiae metabolic network, because of the large scale, we get a set of extreme pathways by sampling the whole extreme pathway space. In most cases, an extreme pathway covers a correlated reaction set in an 'all or none' manner, which means either all reactions in a correlated reaction set or none is used by some extreme pathway. In rare cases, besides the 'all or none' manner, a correlated reaction set may be fully covered by combination of a few extreme pathways with related function, which may bring redundancy and flexibility to improve the survivability of a cell. In a word, extreme pathways show strong complementary relationship on usage of reactions in the same correlated reaction set.

Conclusion: Both extreme pathways and correlated reaction sets are derived from the topology information of metabolic networks. The strong relationship between correlated reaction sets and extreme pathways suggests a possible mechanism: as a controllable unit, an extreme pathway is regulated by its corresponding correlated reaction sets, and a correlated reaction set is further regulated by the organism's regulatory network.

Integrating instance-level and attribute-level knowledge into document clustering

In this paper, we present a document clustering framework incorporating instance-level knowledge in the form of pairwise constraints and attribute-level knowledge in the form of keyphrases. Firstly, we initialize weights based on metric learning with pairwise constraints, then simultaneously learn two kinds of knowledge by combining the distance-based and the constraint-based approaches, finally evaluate and select clustering result based on the degree of users’ satisfaction. The experimental results demonstrate the effectiveness and potential of the proposed method.

Mind change optimal learning of Bayes net structure

This paper analyzes the problem of learning the structure of a Bayes net (BN) in the theoretical framework of Gold’s learning paradigm. Bayes nets are one of the most prominent formalisms for knowledge representation and probabilistic and causal reasoning. We follow constraint-based approaches to learning Bayes net structure, where learning is based on observed conditional dependencies between variables of interest (e.g., “X is dependent on Y given any assignment to variable Z”). Applying learning criteria in this model leads to the following results. (1) The mind change complexity of identifying a Bayes net graph over variables V from dependency data is |V| 2 , the maximum number of edges. (2) There is a unique fastest mind-change optimal Bayes net learner; convergence speed is evaluated using Gold’s dominance notion of “uniformly faster convergence”. This learner conjectures a graph if it is the unique Bayes net pattern that satisfies the observed dependencies with a minimum number of edges, and outputs “no guess” otherwise. Therefore we are using standard learning criteria to define a natural and novel Bayes net learning algorithm. We investigate the complexity of computing the output of the fastest mind-change optimal learner, and show that this problem is NP-hard (assuming P = RP). To our knowledge this is the first NP-hardness result concerning the existence of a uniquely optimal Bayes net structure.

Learning Bayesian networks in Semi-deterministic systems

In current constraint-based (Pearl-style) systems for discovering Bayesian networks, inputs with deterministic relations are prohibited. This restricts the applicability of these systems. In this paper, we formalize a sufficient condition under which Bayesian networks can be recovered even with deterministic relations. The sufficient condition leads to an improvement to Pearl’s IC algorithm; other constraint-based algorithms can be similarly improved. The new algorithm, assuming the sufficient condition proposed, is able to recover Bayesian networks with deterministic relations, and moreover suffers no loss of performance when applied to nondeterministic Bayesian networks.

Enhanced thermal energy harvesting performance of a cobalt redox couple in ionic liquid-solvent mixtures

Thermoelectrochemical cells are increasingly promising devices for harvesting waste heat, offering an alternative to the traditional semiconductor-based design. Advancement of these devices relies on new redox couple/electrolyte systems and an understanding of the interplay between the different factors that dictate device performance. The Seebeck coefficient (Se) of the redox couple in the electrolyte gives the potential difference achievable for a given temperature gradient across the device. Prior work has shown that a cobalt bipyridyl redox couple in ionic liquids (ILs) displays high Seebeck coefficients, but the thermoelectrochemical cell performance was limited by mass transport. Here we present the Se and thermoelectrochemical power generation performance of the cobalt couple in novel mixed IL/molecular solvent electrolyte systems. The highest power density of 880 mW m-2, at a ΔT of 70 °C, was achieved with a 31 (v/v) MPN-[C2mim][B(CN)4] electrolyte combination. The significant power enhancement compared to the single solvent or IL systems results from a combination of superior ionic conductivity and higher diffusion coefficients, shown by electrochemical analysis of the different electrolytes. This is the highest power output achieved to-date for a thermoelectrochemical cell utilising a high boiling point redox electrolyte.

Pixel review: Dance and digital wizardry conjure stunning illusions

A number of artists have explored the fusion of technology with performing arts. From Gideon Obarzanek​ and Frieder Weiss' projection mapping techniques with Glow and Mortal Engine to Garry Stewart and Thomas Pachoud's​ experiments with real-time looping and layered video in Proximity, it seems that infusing performance with choreographed bodies, screen-based design and choreographed pixels is the next frontier of contemporary performance.

Design of LabVIEW® - based software for the control of sequential injection analysis instrumentation for the determination of morphine.

LabVIEW^®-based software for the automation of a sequential injection analysis instrument for the determination of morphine is presented. Detection was based on its chemiluminescence reaction with acidic potassium permanganate in the presence of sodium polyphosphate. The calibration function approximated linearity (range 5 × 10 ^-10 to 5 × 10 ^-6M) with a line of best fit of y = 1.05 x + 8.9164 (R² = 0.9959), where y is the log₁₀ signal (mV) and x is the log₁₀ morphine concentration (M). Precision, as measured by relative standard deviation, was 0.7% for five replicate analyses of morphine standard (5 × 10^-8_M). The limit of detection (3 σ) was determined as 5 × 10^-11 M morphine.

Rationale and design of the national benchmarking and evidence-based national clinical guidelines for chronic heart failure management programs study

OBJECTIVES: The National Benchmarks and Evidence-Based National Clinical Guidelines for Heart Failure Management Programs Study is a national, multicenter study designed to determine the nature, range, and effect of interventions applied by chronic heart failure management programs (CHF-MPs) throughout Australia on patient outcomes. Its primary objective is to use these data to develop national benchmarks and evidence-based clinical guidelines and optimize their cost-effective application by reducing quality and outcome variability. DATA SOURCES/STUDY SETTING: Primary data will be collected from CHF-MP coordinators and CHF patients enrolled in these programs on a national basis. Secondary outcome data will be collected from a national morbidity record and from patients' medical records. STUDY DESIGN: Stage I of the study involves a prospective clinical audit of all CHF-MPs throughout Australia (n = 45) to determine the extent of variability in programs currently. Stage II is a prospective cross-sectional survey design enrolling 1,500 patients (average of 40 patients per program) to firstly determine the typical profile of patients being managed via a CHF-MP in Australia and, secondly, the subsequent morbidity and mortality during the 6-month follow-up. Outcome data will be subject to multivariate analysis to determine the key components of care in this regard. All study data will be then examined in the final stage of the study (III) to develop national benchmarks for the application and auditing of CHF-MPs in Australia. CONCLUSION: Variability in patient outcomes is a product of heterogeneity among CHF-MPs. The development of national benchmarks will minimize such heterogeneity and will provide a greater level of evidence for their cost-effective application.