Functional and Technical Methods of Information and Risk Communication

Risks of natural and anthropogenic disasters can appear at any moment without warning. All levels of government agencies from federal to township, and the systems of the specialized agencies, like weather-specialists, flood control, electricity suppliers, and educational organizations are standardized and the communication has been improving. The systems of the governments and agencies, meteorologists, flood control, electricity suppliers, and educational organizations are standardized and the communication has been improving. In this chapter, government manuals, procedures for agencies and professional responders, and public awareness, perceptions, and capabilities, are reviewed in three international cities: Seoul, Tokyo, and Toronto. Each city is unique with experiences of different disasters. Communication of supports and vital information of risks without understanding the language and culture of the people may lead the public to large-scale panic. Individuals can access government websites and interpret the information, like WebGIS maps, and risks by themselves. In terms of risk communication, all urbanized cities require their own specialized risk management with reasonably effective technologies, which enhance community resilience. Even better is to have a measure of development for the care of the public after the disaster to help the people get back on their feet, such as various public insurances

Tribunalizing Sovereign Debt: Argentina\u27s Experience with Investor-State Dispute Settlement

The global sovereign debt market, lacking a formal bankruptcy regime or binding regulatory oversight, is fundamentally shaped by the specter of conflicts between debtors that refuse to pay and holdout creditors that refuse to settle. Never was this more evident than in Argentina\u27s most recent sovereign debt crisis, which spurred daring, innovative, and often controversial legal strategies. This Article focuses on one of the legacies of Argentina\u27s sovereign debt crisis: the use of investor-state arbitration under international investment law to enforce sovereign bond contracts. Following Argentina\u27s financial collapse in 2001, private creditors brought dozens of cases against Argentina before the International Center for the Settlement of Investment Disputes (ICSID). Among these ICSID cases was Abaclat and Others v. The Argentine Republic, which marked the first time that an arbitral tribunal ruled that it had jurisdiction to rule on a sovereign debt default and restructuring under international investment law. With the proliferation of investor-state dispute settlement (ISDS) mechanisms in bilateral investment treaties (BITs) and other international investment agreements, this remedy will likely grow in importance. In light of Abaclat and subsequent ICSID cases, this Article analyzes Argentina\u27s experience with sovereign debt claims under BITs in the broader context of sovereign debt disputes and ongoing measures undertaken by sovereigns in response to tribunalization. Looking forward, this Article assesses the systemic implications of ISDS for the exercise of sovereign authority in sovereign debt finance

Poly(2-oxazoline) hydrogels : state-of-the-art and emerging applications

The synthesis of poly(2-oxazoline)s has been known since the 1960s. In the last two decades, they have risen in popularity thanks to improvements in their synthesis and the realization of their potential in the biomedical field due to their stealth properties, stimuli responsiveness, and tailorable properties. Even though the bulk of the research to date has been on linear forms of the polymer, they are also of interest for creating network structures due to the relatively easy introduction of reactive functional groups during synthesis that can be cross-linked under a variety of conditions. This opinion article briefly reviews the history of poly(2-oxazoline)s and examines the in vivo data on soluble poly(2-oxazoline)s to date in an effort to predict how hydrogels may perform as implantable materials. This is followed by an overview of the most recent hydrogel synthesis methods and emerging applications, and is concluded with a section on the future directions predicted for these fascinating yet underutilized polymers

Trends and Costs of External Electrical Bone Stimulators and Grafting Materials in Anterior Lumbar Interbody Fusion.

STUDY DESIGN: Retrospective review. PURPOSE: To identify the trends in stimulator use, pair those trends with various grafting materials, and determine the influence of stimulators on the risk of revision surgery. OVERVIEW OF LITERATURE: A large number of studies has reported beneficial effects of electromagnetic energy in healing long bone fractures. However, there are few clinical studies regarding the use of electrical stimulators in spinal fusion. METHODS: We used insurance billing codes to identify patients with lumbar disc degeneration who underwent anterior lumbar interbody fusion (ALIF). Comparisons between patients who did and did not receive electrical stimulators following surgery were performed using logistic regression analysis, chi-square test, and odds ratio (OR) analysis. RESULTS: Approximately 19% of the patients (495/2,613) received external stimulators following ALIF surgery. There was a slight increase in stimulator use from 2008 to 2014 (multi-level R2=0.08, single-level R2=0.05). Patients who underwent multi-level procedures were more likely to receive stimulators than patients who underwent single-level procedures (p0.05), except those in the multilevel ALIF+PLF cohort, wherein the patients who underwent stimulation had higher rates of revision surgery. CONCLUSIONS: Concurrent PLF or multi-level procedures increased patients\u27 likelihood of receiving stimulators, however, the presence of comorbidities did not. Patients who received BMA plus autograft or allograft were more likely to receive stimulation. Patients with and without bone stimulators had similar rates of revision surgery

The Effectiveness of the Modified Expanded Rational Expectations Model to Explore Adult Consumers’ Functional Foods Consumption Behavior

Since knowledge and health consciousness have been claimed to have a great influence on dietary behavior, subjective knowledge and health consciousness constructs were added to the ERE model in order to develop Modified ERE (MERE) model. The objective of this study was to investigate the effectiveness of the MERE model in order to explain adult consumers’ functional foods consumption behavior. A convenience sample of 465 adults from a Southwestern university completed the final online survey questionnaire during April and May, 2010. A series of confirmatory factor analyses and structural equation modeling were conducted. Validity and reliability of the measurement model of MERE were confirmed. Results from structural equation modeling revealed that the MERE is a viable model to explain functional foods intention to consume and actual eating behavior. The two new constructs, subjective knowledge and health consciousness, had significant relationships with other constructs of the ERE. In detail, subjective knowledge was a better predictor than objective knowledge in the functional foods context. Health consciousness was a significant predictor of attitude and intention to consume functional foods but not a significant predictor of behavior. However, health consciousness influenced behavior through attitude and intention

Merging expert and empirical data for rare event frequency estimation : pool homogenisation for empirical Bayes models

Empirical Bayes provides one approach to estimating the frequency of rare events as a weighted average of the frequencies of an event and a pool of events. The pool will draw upon, for example, events with similar precursors. The higher the degree of homogeneity of the pool, then the Empirical Bayes estimator will be more accurate. We propose and evaluate a new method using homogenisation factors under the assumption that events are generated from a Homogeneous Poisson Process. The homogenisation factors are scaling constants, which can be elicited through structured expert judgement and used to align the frequencies of different events, hence homogenising the pool. The estimation error relative to the homogeneity of the pool is examined theoretically indicating that reduced error is associated with larger pool homogeneity. The effects of misspecified expert assessments of the homogenisation factors are examined theoretically and through simulation experiments. Our results show that the proposed Empirical Bayes method using homogenisation factors is robust under different degrees of misspecification

eIF4A inhibitors suppress cell-cycle feedback response and acquired resistance to CDK4/6 inhibition in cancer

CDK4/6 inhibitors are FDA-approved drugs for estrogen receptor-positive (ER+) breast cancer and are being evaluated to treat other tumor types, including KRAS-mutant non-small cell lung cancer (NSCLC). However, their clinical utility is often limited by drug resistance. Here, we sought to better understand the resistant mechanisms and help devise potential strategies to overcome this challenge. We show that treatment with CDK4/6 inhibitors in both ER+ breast cancer and KRAS-mutant NSCLC cells induces feedback upregulation of cyclin D1, CDK4, and cyclin E1, mediating drug resistance. We demonstrate that rocaglates, which preferentially target translation of key cell-cycle regulators, effectively suppress this feedback upregulation induced by CDK4/6 inhibition. Consequently, combination treatment of CDK4/6 inhibitor palbociclib with the eukaryotic initiation factor (eIF) 4A inhibitor, CR-1-31-B, is synergistic in suppressing the growth of these cancer cells in vitro and in vivo Furthermore, ER+ breast cancer and KRAS-mutant NSCLC cells that acquired resistance to palbociclib after chronic drug exposure are also highly sensitive to this combination treatment strategy. Our findings reveal a novel strategy using eIF4A inhibitors to suppress cell-cycle feedback response and to overcome resistance to CDK4/6 inhibition in cancer.Accepted manuscrip

Phase Identification of Smart Meters Using a Fourier Series Compression and a Statistical Clustering Algorithm

Accurate labeling of phase connectivity in electrical distribution systems is important for maintenance and operations but is often erroneous or missing. In this paper, we present a process to identify which smart meters must be in the same phase using a hierarchical clustering method on voltage time series data. Instead of working with the time series data directly, we apply the Fourier transform to represent the data in their frequency domain, remove $98\%$ of the Fourier coefficients, and use the remaining coefficients to cluster the meters are in the same phase. Result of this process is validated by confirming that cluster (phase) membership of meters does not change over two monthly periods. In addition, we also confirm that meters that belong to the same feeder within the distribution network are correctly classified into the same cluster, that is, assigned to the same phase.Comment: 5 pages, 6 figures, 4 table