Capturing the Resilience Dividend: Post Hurricane Sandy Insights from Brooklyn\u27s Sea Gate Community

This research project presents a resilience, governance, and vulnerability analysis of populations traditionally considered as non-vulnerable to natural disasters and climate related events. The paper examines how homeowners in Sea Gate, a neighborhood located on Coney Island, in Brooklyn, New York, experienced systemic disruption following Hurricane Sandy. This research sets out to answer the following questions: How does the lived experience of homeowners in a coastal community reflect the creation of newly vulnerable populations in regard to natural disasters in New York City? How is the current municipal resilience strategy being perceived as managing these shifts? And finally, what avenues does this discourse open to better prepare resilience strategists to accommodate the needs of citizens on the front lines of climate risk in a major city such as New York? Currently, resilience planning in New York City is focused on shoring up the region’s economic hotspots and areas of high urban activity, but vulnerable residential coastlines throughout the city are being left to fend for themselves under these present policy initiatives. Open-ended interviews were conducted with residential homeowners in Sea Gate who were adversely affected by Hurricane Sandy, i.e. experienced economic and property loss because of storm damage, to elucidate this dichotomy. The paper argues that the current state of perceived vulnerability exceeds both the historical governmental capacity for an organized response to future natural disasters following Hurricane Sandy and the perceived priorities of the municipal administration. Thus, the paper demonstrates that resilience planning is a political process and must consider the perspectives and needs of citizens in coastal communities to ensure more equitable and representative policies are enacted to protect such households from future damage due to institutional unpreparedness

Relative Booster Ideals of Distributive p-algebras

In this article, the definition and characterization of relative booster ideals in distributive p-algebras are given. The relationship between disjunctive relative booster ideals and normal relative booster ideals is established in the distributive p-algebras. A lattice congruence relation defined via the relative boosters is given and its quotient lattice structure is obtained

Proteomics for Clinical Assessment of Kidney Disease

Kidney disease is one of the fastest growing causes of death worldwide, disclosing an unmet clinical need for early diagnosis and optimized risk stratification that allows high risk patient selection for clinical trials and for more intensive nephroprotective interventions in the clinic. The current issue of PROTEOMICS—Clinical Applications contains four manuscripts that explore different aspects of clinical proteomics implementation in the context of acute kidney injury, chronic kidney disease and, more specifically, diabetic kidney disease, and kidney transplantation from a diagnostic and risk stratification point of view. Overall, the evidence discussed suggests that chronic kidney disease is an example where clinical proteomics has become a valuable tool ready for clinical implementation, expected to have a major impact in patient management.The author was supported by FIS PI16/02057, ISCIII-RETIC REDinREN RD016/0009 Fondos FEDER, and Comunidad de Madrid B2017/BMD- 3686 CIFRA2-CM

A review of the criteria for non-invasive diagnosis of cardiac transthyretin amyloidosis

Introduction: Cardiac transthyretin (ATTR) amyloidosis is a progressive and fatal infiltrative cardiomyopathy (ATTR-CM) characterized by congestive cardiac failure, often with preserved left ventricular ejection fraction, and significant risk of conduction disease. Diagnosis is often delayed or missed due to poor specificity of echocardiography and the historical requirement for a histological diagnosis, frequently an endomyocardial biopsy. Areas covered: Following a detailed literature review focusing on peer reviewed articles (Pubmed, Cochrane Library, Google Scholar), from 1995 to 2020, alongside international diagnostic guidelines and expert opinion in the field, this article will explore the current non-invasive diagnostic criteria for ATTR-CM including the role of transthoracic echocardiography, cardiac MRI, bone scintigraphy, and assessment for exclusion of a clonal dyscrasia. Expert opinion: ATTR-CM is an emerging and increasingly diagnosed cause of heart failure, particularly in the elderly. Promising novel therapies make accurate and swift diagnosis of the disease vital. With the increasing use of cardiac MRI to investigate cardiomyopathy and repurposing of technetium-labeledbone scintigraphy, clinicians are now often able to diagnose ATTR-CM without recourse to an endomyocardial biopsy

Neutrosophic Adaptive LSB and Deep Learning Hybrid Framework for ECG Signal Classification

This paper proposes a novel hybrid framework for ECG signal classification and privacy preservation. The framework includes two phases: the first phase uses LSTM+CNN with attention gate for ECG classification, while the second phase utilizes adaptive least signal bit with neutrosophic for hiding important data during transmission. The proposed framework converts data into three sets of degrees (true, false, and intermediate) using neutrosophic and passes them to an embedding layer. In the sender part, the framework hides important data in ECG signal as true and false degrees, using the intermediate set as a shared dynamic key between sender and receiver. The receiver can reconstruct the important data using the shared dynamic key or the intermediate set. The proposed framework is more robust against attacks compared to other methods

Optimal Test Plan of Step Stress Partially Accelerated Life Testing for Alpha Power Inverse Weibull Distribution under Adaptive Progressive Hybrid Censored Data and Different Loss Functions

Accelerated life tests are used to explore the lifetime of extremely reliable items by subjecting them to elevated stress levels from stressors to cause early failures, such as temperature, voltage, pressure, and so on. The alpha power inverse Weibull (APIW) distribution is of great significance and practical applications due to its appealing characteristics, such as its flexibilities in the probability density function and the hazard rate function. We analyze the step stress partially accelerated life testing model with samples from the APIW distribution under adaptive type II progressively hybrid censoring. We first obtain the maximum likelihood estimates and two types of approximate confidence intervals of the distributional parameters and then derive Bayes estimates of the unknownparameters under different loss functions. Furthermore, we analyze three probable optimum test techniques for identifying the best censoring under different optimality criteria methods. We conduct simulation studies to assess the finite sample performance of the proposed methodology. Finally, we provide a real data example to further demonstrate the proposed technique

The homotopy theory of simplicial props

The category of (colored) props is an enhancement of the category of colored operads, and thus of the category of small categories. In this paper, the second in a series on "higher props," we show that the category of all small colored simplicial props admits a cofibrantly generated model category structure. With this model structure, the forgetful functor from props to operads is a right Quillen functor.Comment: Final version, to appear in Israel J. Mat