Understanding Canada\u27s Responses to Citizen Submissions Under the NAAEC

The North American Agreement on Environmental Cooperation (NAAEC) is a side-agreement to the North American Free Trade Agreement (NAFTA), to which the United States, Canada, and Mexico are signatory parties (Parties). A central feature of the NAAEC is its citizen submission on enforcement matters (SEM) process, by which citizens and citizen groups from any of the three signatory countries can call on the NAAEC Secretariat to consider whether a Party is failing to effectively enforce its environmental laws. To date, there have been eighty-one citizen submissions filed against the three Parties. Much of the scholarship surrounding the SEM process has concerned its efficacy, particularly from the perspective of citizens and non-governmental organizations. In contrast, there has been relatively little work done that seeks to understand the manner in which the Parties have interacted with this innovative SEM process. To assess whether and to what extent the SEM process is working, and to envision ways that the process (or analogous ones) might be improved, it is. important to gain a better understanding of how governments perceive and react to processes of this kind. This Article represents a tentative foray into this research area. For this Article, we examined only SEM submissions against Canada. We used a case-study approach, selecting three cases that help illustrate any trend in the Canadian government\u27s response to SEM submissions. We then sought to understand Canada\u27s responses through three theoretical perspectives: realism, pluralism, and institutionalism. We begin by briefly describing the NAAEC and the SEM process in Part II. Part III lays out three cases in which submitters alleged that Canada had failed to effectively enforce its environmental laws and Canada\u27s responses to each of them. This is followed in Part IV by a discussion of trends in Canada\u27s responses arising from the case studies. In Part V, we analyze Canada\u27s responses through three theoretical perspectives. Finally, Part VI concludes by offering insights for further research

Store Choice and Shopping Behavior: How Price Format Works

In this paper, we present a perceived shopping utility framework for analyzing the impact of retail price format on store choice, which in turn determines three key performance metrics: (1) number of shoppers, (2) number of trips, and (3) average spending per trip. Our approach is based on the premise that when choosing a store, consumers evaluate both the fixed and variable utilities of shopping. The fixed utility does not vary from trip to trip whereas the variable utility depends on the size and composition of the shopping list. We apply our model to summarize prior findings on store choice, analyze how retailers can improve their performance, and interpret the practices of leading retailers. Our framework can also accommodate situations when retailers face multiple segments who have different sensitivities to fixed and variable utilities. Finally, we discuss recent trends (e.g., online shopping) using our approach

Anomalous shear wave attenuation in the shallow crust beneath the Coso Volcanic Region, California

We use seismograms of local earthquakes to image relative shear wave attenuation structure in the shallow crust beneath the region containing the Coso volcanic-geothermal area of eastern California. SV and P wave amplitudes were measured from vertical component seismograms of earthquakes that occurred in the Cososouthem Sierra Nevada region from July 1983 to August 1985. Seismograms of 16 small earthquakes show SV amplitudes which are greatly diminished at some azimuths and takeoff angles, indicating strong lateral variations in S wave attenuation in the area. Three-dimensional images of the relative S wave attenuation structure are obtained from forward modeling and a back projection inversion of the amplitude data. The results indicate regions within a 20 by 30 by 10 km volume of the shallow crust (one shallower than 5 km) that severely attenuate SV waves passing through them. These anomalies lie beneath the Indian Wells Valley, 30 km south of the Coso volcanic field, and are coincident with the epicentral locations of recent earthquake swarms. No anomalous attenuation is seen beneath the Coso volcanic field above about 5 km depth. Geologic relations and the coincidence of anomalously slow P wave velocities suggest that the attenuation anomalies may be related to magmatism along the eastern Sierra front

Health system expenditure on disease and injury in Australia, 2000–01

This publication presents estimates of health expenditure on disease and injury in Australia in 2000-01, classified by disease or injury group, age and sex. The estimates are available by area of expenditure - hospitals, high-level residential aged care, medical services, other professional services, pharmaceuticals and research.The 2000-01 disease expenditure estimates were based on the 176 disease and injury conditions used in the first Australian burden of disease study (AIHW: Mathers et al. 1999), with the inclusion of some additional sub-categories. This report aggregates these conditions into the 19 broad disease groups used by the burden of disease study. Disease expenditure estimates are also presented for selected conditions in the seven National Health Priority Areas and by age and sex

BridgeDb: standardized access to gene, protein and metabolite identifier mapping services

Many interesting problems in bioinformatics require integration of data from various sources. For example when combining microarray data with a pathway database, or merging co-citation networks with protein-protein interaction networks. Invariably this leads to an identifier mapping problem, where different datasets are annotated with identifiers that are related, but originate from different databases.

Solutions for the identifier mapping problem exist, such as Biomart, Synergizer, Cronos, PICR, HMS and many more. This creates an opportunity for bioinformatics tool developers. Tools can be made to flexibly support multiple mapping services or mapping services could be combined to get broader coverage. This approach requires an interface layer between tools and mapping services. BridgeDb provides such an interface layer, in the form of both a Java and REST API.

Because of the standardized interface layer, BridgeDb is not tied to a specific source of mapping information. You can switch easily between flat files, relational databases and several different web services. Mapping services can be combined to support multi-omics experiments or to integrate custom microarray annotations. BridgeDb isn't just yet another mapping service: it tries to build further on existing work, and integrate multiple partial solutions. The framework is intended for customization and adaptation to any identifier mapping service. 

BridgeDb makes it easy to add an important capability to existing tools. BridgeDb has already been integrated into several popular bioinformatics applications, such as Cytoscape, WikiPathways, PathVisio, Vanted and Taverna. To encourage tool developers to start using BridgeDb, we've created code examples, online documentation, and a mailinglist to ask questions. 

We believe that, to meet the challenges that are encountered in bioinformatics today, the software development process should follow a few essential principles: user friendliness, code reuse, modularity and open source. BridgeDb adheres to these principles, and can serve as a useful model for others to follow. BridgeDb can function to increase user-friendliness of graphical applications. It re-uses work from other projects such as BioMart and MIRIAM. BridgeDb consists of several small modules, integrated through a common interface (API). Components of BridgeDb can be left out or replaced, for maximum flexibility. BridgeDb was open source from the very beginning of the project. The philosophy of open source is closely aligned to academic values, of building on top of the work of giants. 

Many interesting problems in bioinformatics require integration of data from various sources. For example when combining microarray data with a pathway database, or merging co-citation networks with protein-protein interaction networks. Invariably this leads to an identifier mapping problem, where different datasets are annotated with identifiers that are related, but originate from different databases.

Solutions for the identifier mapping problem exist, such as Biomart, Synergizer, Cronos, PICR, HMS and many more. This creates an opportunity for bioinformatics tool developers. Tools can be made to flexibly support multiple mapping services or mapping services could be combined to get broader coverage. This approach requires an interface layer between tools and mapping services. BridgeDb provides such an interface layer, in the form of both a Java and REST API.

Because of the standardized interface layer, BridgeDb is not tied to a specific source of mapping information. You can switch easily between flat files, relational databases and several different web services. Mapping services can be combined to support multi-omics experiments or to integrate custom microarray annotations. BridgeDb isn't just yet another mapping service: it tries to build further on existing work, and integrate multiple partial solutions. The framework is intended for customization and adaptation to any identifier mapping service. 

BridgeDb makes it easy to add an important capability to existing tools. BridgeDb has already been integrated into several popular bioinformatics applications, such as Cytoscape, WikiPathways, PathVisio, Vanted and Taverna. To encourage tool developers to start using BridgeDb, we've created code examples, online documentation, and a mailinglist to ask questions. 

We believe that, to meet the challenges that are encountered in bioinformatics today, the software development process should follow a few essential principles: user friendliness, code reuse, modularity and open source. BridgeDb adheres to these principles, and can serve as a useful model for others to follow. BridgeDb can function to increase user-friendliness of graphical applications. It re-uses work from other projects such as BioMart and MIRIAM. BridgeDb consists of several small modules, integrated through a common interface (API). Components of BridgeDb can be left out or replaced, for maximum flexibility. BridgeDb was open source from the very beginning of the project. The philosophy of open source is closely aligned to academic values, of building on top of the work of giants. 

The BridgeDb library is available at "http://www.bridgedb.org":http://www.bridgedb.org.
A paper about BridgeDb was published in BMC _Bioinformatics_, 2010 Jan 4;11(1):5.

BridgeDb blog: "http://www.helixsoft.nl/blog/?tag=bridgedb":http://www.helixsoft.nl/blog/?tag=bridged

Sustainable Supply Chain Management with NGOs, NPOs, and Charity Organizations: A Systematic Review and Research Agenda

With the gradually increased awareness of sustainability development, external organizations, including non-governmental organizations (NGOs), non-profit organizations (NPOs), and charity organizations, play an increasingly crucial role in sustainable supply chain management (SSCM). The participation of external organizations not only helps the firms to improve reputation, but also regulates and improves their SSCM. Based on this motivation, we identify the major research domains and examine each domain's evolution by using the objective review methods, including Citation Network Analysis and Main Path Analysis in this literature review paper. Five research domains are recognized, namely, “sustainable supply chain framework design”, “supply chain coordination/collaboration”, “closed-loop supply chain”, “regulation”, and “subsidy and donation”. We review the most influential papers in each research domain to show the evolution of these studies. Based on our review findings, we successfully propose four future research agendas with eight specific issues and innovatively establish a new research framework. The outputs of this review paper can guide the researchers on future search topics and contribute to the development of SSCM with the consideration of organizations.</p

One-hot Generalized Linear Model for Switching Brain State Discovery

Exposing meaningful and interpretable neural interactions is critical to understanding neural circuits. Inferred neural interactions from neural signals primarily reflect functional interactions. In a long experiment, subject animals may experience different stages defined by the experiment, stimuli, or behavioral states, and hence functional interactions can change over time. To model dynamically changing functional interactions, prior work employs state-switching generalized linear models with hidden Markov models (i.e., HMM-GLMs). However, we argue they lack biological plausibility, as functional interactions are shaped and confined by the underlying anatomical connectome. Here, we propose a novel prior-informed state-switching GLM. We introduce both a Gaussian prior and a one-hot prior over the GLM in each state. The priors are learnable. We will show that the learned prior should capture the state-constant interaction, shedding light on the underlying anatomical connectome and revealing more likely physical neuron interactions. The state-dependent interaction modeled by each GLM offers traceability to capture functional variations across multiple brain states. Our methods effectively recover true interaction structures in simulated data, achieve the highest predictive likelihood with real neural datasets, and render interaction structures and hidden states more interpretable when applied to real neural data

Influence of nanotube length and density on the plasmonic terahertz response of single-walled carbon nanotubes

We measure the conductivity spectra of thin films comprising bundled single-walled carbon nanotubes (CNTs) of different average lengths in the frequency range 0.3-1000 THz and temperature interval 10-530 K. The observed temperature-induced changes in the terahertz conductivity spectra are shown to depend strongly on the average CNT length, with a conductivity around 1 THz that increases/decreases as the temperature increases for short/long tubes. This behaviour originates from the temperature dependence of the electron scattering rate, which we obtain from Drude fits of the measured conductivity in the range 0.3-2 THz for 10 $\mu$m length CNTs. This increasing scattering rate with temperature results in a subsequent broadening of the observed THz conductivity peak at higher temperatures and a shift to lower frequencies for increasing CNT length. Finally, we show that the change in conductivity with temperature depends not only on tube length, but also varies with tube density. We record the effective conductivities of composite films comprising mixtures of WS$_2$ nanotubes and CNTs vs CNT density for frequencies in the range 0.3-1 THz, finding that the conductivity increases/decreases for low/high density films as the temperature increases. This effect arises due to the density dependence of the effective length of conducting pathways in the composite films, which again leads to a shift and temperature dependent broadening of the THz conductivity peak.Comment: Submitted to Journal of Physics D. Main manuscript: 9 pages, 8 figures. Supplementary material: 5 pages, 6 figure