Rapid Sensor Technology: A Risk and System Complexity Analyses of Early Detection of Influenza-Like-Illnesses

The development of effective and reliable methods to defend the nation against biological terrorism remains an urgent challenge to researchers in the areas of risk, bio-defense, public health, and emergency medicine. The emerging threat of the avian flu pandemic also highlights the unpreparedness of our nation\u27s health care system to meet a highly contagious and infectious disease outbreak. The implementation of a rapid sensor technology for early detection of influenza-like-illness provides possible opportunities, as well as problems. Bounding and defining such a complex problem is one of the first challenges this research addresses. Approaching this problem from various perspectives such as risk management, critical infrastructures and emergency medicine proves to be a valid strategy for an efficient solution. After defining the problem and laying out a strategy, discussions on possible tools and techniques for the solution of the problem is presented in this paper, together with the compounding sources of and issues with complexity

Goal Approach to Risk Scenario Identification in Systems Development

The scope of this paper is the exploration of fundamental issues in identifying risk scenarios during systems development. Systems development refers to a series of processes which span conceptualization, designing the architecture, obtaining the elements, and eventually integrating all these elements into the fully developed final system. For truly sustainable and green systems, identifying risk scenarios early and continuously over the system development processes is vital. This paper contains various descriptions of risk from the project (i.e. programmatic) and technical perspectives, an exploration of the generally accepted risk management process, and how these relate to systems development through system goals. The paper shows the importance of goal and anti-goal analyses in the early identification of risk scenarios towards the development of truly sustainable systems. This result is critical for engineering managers and systems engineers who want to make risk management an integral part of the systems development process

Agile Knowledge Management: A Review, Reconceptualization, and Extension to Military Applications

This study contributes to the literature by integrating agility in knowledge management (KM) operations, especially in military environments via major findings of (a) introducing a new approach to KM with integration of \u27agility\u27; (b) articulating the application of an enhanced process of Agile Knowledge Management (AKM) across the military. The purpose of the study is to explore the conceptual background of agility in KM, re-conceptualize it and extend it to military applications with a special focus on counterinsurgency (COIN). An initial qualitative exploration of agility in KM was performed. Three different concepts and their interrelationships were analyzed: (a) KM, (b) agility in operations, and (c) military organizations in the COIN environment. Findings from this initial qualitative analysis were used to inductively redefine, re-conceptualize, and extend the concept of AKM, as well as, to compare and adapt the AKM concept to the military environment of COIN. An additional qualitative analysis was performed to validate the extended concept of AKM. While this study is mainly focused on AKM in a dynamic multinational and joint military environment of COIN, conclusions may be applicable in a broader context. The results of this research can be used by engineering managers and KM practitioners and academics with particular focus on the military environment as foundation for (a) further research and development in AKM (b) developing customized AKM education programs and (c) extending the concept of AKM and its application to other environments

A Heuristic for the Analysis of Truncated Standard Normal Distribution Assemblies

The analysis of data sets and process conditions commonly assume the use of standard normal distributions and truncated standard normal distributions (TSND). The use of these distributions has application to various engineering disciplines along with numerous other industries (e.g., financial industries, medical fields, management, etc.). For engineering managers, the use of truncated standard normal distributions has particular relevance when evaluating process conditions commonly associated with assembly tolerances, manufacturing, and associated measures of quality. This article summarizes a heuristic approach for the analysis of assembly-level truncated standard normal distributions and associated research from a recent dissertation (Ralls, 2014). This article provides a cursory review of the literature presented by that research, briefly reviews key analysis equations, and provides a heuristic procedure from that research. The approach presented summarizes TSND assembly analysis utilizing a distributions characteristic function and an inversion factor for a single doubly truncated standard normal distribution is also reviewed. Applications, research recommendations, and future investigations for engineering managers in the following areas of truncated distribution analysis are proposed: heuristic improvement, distributions expansion, simulation expansion, and further application to storage and part allocations

The health and economic burden of smoking in 12 Latin American countries and the potential effect of increasing tobacco taxes: an economic modelling study

Background: Worldwide, smoking tobacco causes 7 million deaths annually, and this toll is expected to increase, especially in low-income and middle-income countries. In Latin America, smoking is a leading risk factor for death and disability, contributes to poverty, and imposes an economic burden on health systems. Despite being one of the most effective measures to reduce smoking, tobacco taxation is underused and cigarettes are more affordable in Latin America than in other regions. Our aim was to estimate the tobacco-attributable burden on mortality, disease incidence, quality of life lost, and medical costs in 12 Latin American countries, and the expected health and economic effects of increasing tobacco taxes. Methods: In this modelling study, we developed a Markov probabilistic microsimulation economic model of the natural history, medical costs, and quality-of-life losses associated with the most common tobacco-related diseases in 12 countries in Latin America. Data inputs were obtained through a literature review, vital statistics, and hospital databases from each country: Argentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Ecuador, Honduras, Mexico, Paraguay, Peru, and Uruguay. The main outcomes of the model are life-years, quality-adjusted life-years, disease events, hospitalisations, disease incidence, disease cost, and healthy years of life lost. We estimated direct medical costs for each tobacco-related disease included in the model using a common costing methodology for each country. The disease burden was estimated as the difference in disease events, deaths, and associated costs between the results predicted by the model for current smoking prevalence and a hypothetical cohort of people in each country who had never smoked. The model estimates the health and financial effects of a price increase of cigarettes through taxes, in terms of disease and health-care costs averted, and increased tax revenues. Findings: In the 12 Latin American countries analysed, we estimated that smoking is responsible for approximately 345 000 (12%) of the total 2 860 921 adult deaths, 2·21 million disease events, 8·77 million healthy years of life lost, and $26·9 billion in direct medical costs annually. Health-care costs attributable to smoking were estimated to represent 6·9$26·7 billion in health-care costs in the next 10 years, with a total economic benefit of $43·7 billion. Interpretation: Smoking represents a substantial health and economic burden in these 12 countries of Latin America. Tobacco tax increases could successfully avert deaths and disability, reduce health-care spending, and increase tax revenues, resulting in large net economic benefits.Fil: Pichón-riviere, Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; ArgentinaFil: Alcaraz, Andrea. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Palacios, Alfredo. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Rodríguez, Belén. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Reynales Shigematsu, Luz Myriam. Instituto Nacional de Salud Pública; MéxicoFil: Pinto, Márcia. Fundación Oswaldo Cruz; BrasilFil: Castillo Riquelme, Marianela. Ministerio de Salud; ChileFil: Peña Torres, Esperanza. Instituto de Evaluación Tecnológica En Salud; ColombiaFil: Osorio, Diana Isabel. Instituto de Evaluación Tecnológica en Salud; ColombiaFil: Huayanay, Leandro. Universidad Peruana Cayetano Heredia; PerúFil: Loza Munarriz, Cesar. Universidad Peruana Cayetano Heredia; PerúFil: Sáenz de Miera-Juárez, Belén. Universidad Autónoma de Baja California Sur; MéxicoFil: Gallegos Rivero, Verónica. Centro Nacional de Excelencia Tecnológica en Salud; MéxicoFil: De La Puente, Catherine. Universidad de La Frontera; ChileFil: Navia Bueno, María del Pilar. Universidad Mayor de San Andrés; BoliviaFil: Caporale, Joaquín. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Roberti, Javier Eugenio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; ArgentinaFil: Virgilio, Sacha Alexis. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Augustovski, Federico Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; ArgentinaFil: Bardach, Ariel Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Epidemiología y Salud Pública. Instituto de Efectividad Clínica y Sanitaria. Centro de Investigaciones en Epidemiología y Salud Pública; Argentin

Mitochondrial physiology

As the knowledge base and importance of mitochondrial physiology to evolution, health and disease expands, the necessity for harmonizing the terminology concerning mitochondrial respiratory states and rates has become increasingly apparent. The chemiosmotic theory establishes the mechanism of energy transformation and coupling in oxidative phosphorylation. The unifying concept of the protonmotive force provides the framework for developing a consistent theoretical foundation of mitochondrial physiology and bioenergetics. We follow the latest SI guidelines and those of the International Union of Pure and Applied Chemistry (IUPAC) on terminology in physical chemistry, extended by considerations of open systems and thermodynamics of irreversible processes. The concept-driven constructive terminology incorporates the meaning of each quantity and aligns concepts and symbols with the nomenclature of classical bioenergetics. We endeavour to provide a balanced view of mitochondrial respiratory control and a critical discussion on reporting data of mitochondrial respiration in terms of metabolic flows and fluxes. Uniform standards for evaluation of respiratory states and rates will ultimately contribute to reproducibility between laboratories and thus support the development of data repositories of mitochondrial respiratory function in species, tissues, and cells. Clarity of concept and consistency of nomenclature facilitate effective transdisciplinary communication, education, and ultimately further discovery

Mitochondrial physiology

As the knowledge base and importance of mitochondrial physiology to evolution, health and disease expands, the necessity for harmonizing the terminology concerning mitochondrial respiratory states and rates has become increasingly apparent. The chemiosmotic theory establishes the mechanism of energy transformation and coupling in oxidative phosphorylation. The unifying concept of the protonmotive force provides the framework for developing a consistent theoretical foundation of mitochondrial physiology and bioenergetics. We follow the latest SI guidelines and those of the International Union of Pure and Applied Chemistry (IUPAC) on terminology in physical chemistry, extended by considerations of open systems and thermodynamics of irreversible processes. The concept-driven constructive terminology incorporates the meaning of each quantity and aligns concepts and symbols with the nomenclature of classical bioenergetics. We endeavour to provide a balanced view of mitochondrial respiratory control and a critical discussion on reporting data of mitochondrial respiration in terms of metabolic flows and fluxes. Uniform standards for evaluation of respiratory states and rates will ultimately contribute to reproducibility between laboratories and thus support the development of data repositories of mitochondrial respiratory function in species, tissues, and cells. Clarity of concept and consistency of nomenclature facilitate effective transdisciplinary communication, education, and ultimately further discovery

Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements

Robust estimation of bacterial cell count from optical density

Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

Systemic Analysis of the Use of Artificial Intelligence (AI) in Regulating Terrorist Content on Social Media Ecosystem Using Functional Dependency Network Analysis (FDNA)

This research is a systemic analysis of emerging risks to the use Artificial Intelligence (AI) in regulating terrorist content on social media ecosystem using Functional Dependency Network Analysis (FDNA), a proven system-design-and-analysis tool.). The research has three phases: 1) framing the problem by identifying and describing AI ecosystem elements as intended, implied and explicit objectives, discernable attributes, and performance indictors; 2) describing the idealized problem-solved scenario, which includes detailing ‘success’ states of the ecosystem; and 3) systemic risk analysis including identifying failure scenarios for each element and establishing causalities among elemental attributes leading to failure scenarios. This research contributes toward a sustainable and more robust solution to the issue of regulating one particular form of malicious content on social media platforms (i.e., terrorist content) based not on one perspective but on the entire ‘ecosystem’ using FDNA