77 research outputs found

    Data centric modeling of environmental sensor networks

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    Meteorological and hydrological sensors deployed over several hundred kilometers of geographical area comprise an environmental sensor network. Large amounts of data need to be processed in minimal time and transmitted over the available low speed and low bandwidth links. This paper describes algorithms for optimal data collection and data fusion. An inductive model using exponential back-off policy is used to collect optimal amount of data. The data measurements for temperature, pH and specific conductance collected for a year from the sensors deployed at Lake Lewisville are used to test the inductive model. Energy savings of 90% are achieved even with 1% of degree of tolerance. The problem of data fusion is addressed by the introduction of a novel concept of a super-sensor, based on self-organization and collaboration among sensors. A histogram application is described that uses recursive doubling for global collaboration between sensors. The performance of the networked super-sensor in comparison to a centralized polling approach is analyzed for optimality on two different geographical areas. ©2004 IEEE

    Current drinking and health-risk behaviors among male high school students in central Thailand

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    <p>Abstract</p> <p>Background</p> <p>Alcohol drinking is frequently related to behavioral problems, which lead to a number of negative consequences. This study was to evaluate the characteristics of male high school students who drink, the drinking patterns among them, and the associations between current drinking and other health risk behaviors which focused on personal safety, violence-related behaviors, suicide and sexual behaviors.</p> <p>Method</p> <p>A cross-sectional study was conducted to explore current alcohol drinking and health-risk behaviors among male high school students in central Thailand. Five thousand one hundred and eighty four male students were classified into 2 groups according to drinking in the previous 30 days (yes = 631, no = 4,553). Data were collected by self-administered, anonymous questionnaire which consisted of 3 parts: socio-demographic factors, health-risk behaviors and alcohol drinking behavior during the past year from December 2007 to February 2008.</p> <p>Results</p> <p>The results showed that the percent of current drinking was 12.17. Most of them were 15-17 years (50.21%). Socio-demographic factors such as age, educational level, residence, cohabitants, grade point average (GPA), having a part time job and having family members with alcohol/drug problems were significantly associated with alcohol drinking (p < 0.05). Multiple logistic regression analysis, after adjusting for socio-demographic factors, revealed that health-risk behavioral factors were associated with current alcohol consumption: often drove after drinking alcohol (OR = 3.10, 95% CI = 1.88-5.12), often carried a weapon (OR = 3.51, 95% CI = 2.27-5.42), often got into a physical fight without injury (OR = 3.06, 95% CI = 1.99-4.70), dating violence (OR = 2.58, 95% CI = 1.79-3.71), seriously thought about suicide (OR = 2.07, 95% CI = 1.38-3.11), made a suicide plan (OR = 2.10, 95% CI = 1.43-3.08), ever had sexual intercourse (OR = 5.62, 95% CI = 4.33-7.29), alcohol or drug use before last sexual intercourse (OR = 2.55, 95% CI = 1.44-4.53), and got someone pregnant (OR = 3.99, 95% CI = 1.73-9.25).</p> <p>Conclusions</p> <p>An increased risk of health-risk behaviors, including driving vehicles after drinking, violence-related behaviors, sad feelings and attempted suicide, and sexual behaviors was higher among drinking students that led to significant health problems. Effective intervention strategies (such as a campaign mentioning the adverse health effects and social consequences to the risk groups, and encouraging parental and community efforts to prevent drinking) among adolescents should be implemented to prevent underage drinking and adverse consequences.</p

    Area Disease Estimation Based on Sentinel Hospital Records

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    BACKGROUND: Population health attributes (such as disease incidence and prevalence) are often estimated using sentinel hospital records, which are subject to multiple sources of uncertainty. When applied to these health attributes, commonly used biased estimation techniques can lead to false conclusions and ineffective disease intervention and control. Although some estimators can account for measurement error (in the form of white noise, usually after de-trending), most mainstream health statistics techniques cannot generate unbiased and minimum error variance estimates when the available data are biased. METHODS AND FINDINGS: A new technique, called the Biased Sample Hospital-based Area Disease Estimation (B-SHADE), is introduced that generates space-time population disease estimates using biased hospital records. The effectiveness of the technique is empirically evaluated in terms of hospital records of disease incidence (for hand-foot-mouth disease and fever syndrome cases) in Shanghai (China) during a two-year period. The B-SHADE technique uses a weighted summation of sentinel hospital records to derive unbiased and minimum error variance estimates of area incidence. The calculation of these weights is the outcome of a process that combines: the available space-time information; a rigorous assessment of both, the horizontal relationships between hospital records and the vertical links between each hospital's records and the overall disease situation in the region. In this way, the representativeness of the sentinel hospital records was improved, the possible biases of these records were corrected, and the generated area incidence estimates were best linear unbiased estimates (BLUE). Using the same hospital records, the performance of the B-SHADE technique was compared against two mainstream estimators. CONCLUSIONS: The B-SHADE technique involves a hospital network-based model that blends the optimal estimation features of the Block Kriging method and the sample bias correction efficiency of the ratio estimator method. In this way, B-SHADE can overcome the limitations of both methods: Block Kriging's inadequacy concerning the correction of sample bias and spatial clustering; and the ratio estimator's limitation as regards error minimization. The generality of the B-SHADE technique is further demonstrated by the fact that it reduces to Block Kriging in the case of unbiased samples; to ratio estimator if there is no correlation between hospitals; and to simple statistic if the hospital records are neither biased nor space-time correlated. In addition to the theoretical advantages of the B-SHADE technique over the two other methods above, two real world case studies (hand-foot-mouth disease and fever syndrome cases) demonstrated its empirical superiority, as well

    Sustainability

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    IPE and sustainability have co-evolved over the past 40 years under the twin pressures of ever-deepening neoliberal globalisation and environmental degradation. Globalisation has seen themassive expansion in international trade, investment and finance and an associated rise ininternational organizations, multinational corporations (MNCs) and civil society organisations.In conjunction with the development and spread of information and communicationstechnologies, the global political economy has transnationalised giving rise to new forms ofpublic, private and hybrid governance. Globalisation has been associated, however, with highlevels of tropical deforestation, fisheries depletion, biodiversity loss and global warming. Froma social justice perspective, deep-seated inequalities remain within and between countries inthe Anthropocene (Biermann et al 2012), with coefficients of inequality now greater than theywere at the outset of the globalisation push (Picketty 2014)

    Acetilkolinesteraza u eritrocitima i butirilkolinesteraza u plazmi - Važni pokazatelji za liječenje osoba otrovanih organofosfornim spojevima

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    Inhibition of acetylcholinesterase (AChE) is regarded as the primary toxic mechanism of organophosphorus compounds (OP). Therapeutic strategies are directed to antagonise overstimulation of muscarinic receptors with atropine and to reactivate inhibited AChE with oximes. Reactivation is crucial within the neuromuscular synapse, where atropine is ineffective, since peripheral neuromuscular block eventually leads to respiratory failure. Patients with OP intoxication have to be identified as early as possible. During an international NBC-defence exercise anesthetised pigs were poisoned with sarin, followed by treatment with atropine and oxime. Blood samples were drawn and red blood cell (RBC)-AChE activity determined with a fielded test system on-site. Within a few minutes the poisoning was verified. After administration of HI-6, RBC-AChE activity increased rapidly. Blood samples were reanalysed in our laboratory in Munich. Almost identical course of the AChE activities was recorded by both systems. The more comprehensive cholinesterase status was determined in Munich. Oxime administration can be stopped when AChE is aged completely, but has to be continued as long as poison is present in the body and reactivation is possible. To aid the on-site physician in optimising diagnosis and treatment, a fielded test system should be available to allow rapid determination of the complete cholinesterase status.Inhibicija acetilkolinesteraze (AChE) smatra se primarnim mehanizmom toksičnoga djelovanja organofosfornih spojeva (OP). Strategije liječenja idu za zaustavljanjem prekomjerne stimulacije muskarinskih receptora atropinom i reaktiviranjem inhibiranog AChE oksimima. Ključna je reaktivacija u neuromuskularnoj sinapsi, u kojoj atropin nije djelotvoran, budući da neuromuskularna blokada u konačnici vodi do prestanka disanja. Važno je što ranije prepoznati otrovanje organofosfornim spojem. U jednoj međunarodnoj vježbi zaštite od nuklearnog, biološkog i kemijskog napada svinje pod anestezijom otrovane su sarinom te liječene atropinom i oksimom. Uzeti su im uzorci krvi te s pomoću terenskoga testa na licu mjesta određena aktivnost AChE u eritrocitima. Otrovanje je potvrđeno za nekoliko minuta. Nakon primjene HI-6, aktivnost AChE brzo je porasla. Isti su uzorci krvi ponovno analizirani u našem laboratoriju u Münchenu. Oba su testa zabilježila gotovo istovjetan tijek aktivnosti AChE. U Münchenu je međutim napravljen potpuniji nalaz kolinesteraza. Liječenje oksimima može se prekinuti kada AChE potpuno “ostari” (tj. dealkilira), ali ga valja nastaviti dokle god je otrov u tijelu, a reaktivacija moguća. Liječnici na terenu trebali bi raspolagati terenskim testovima radi brzoga i potpunog utvrđivanja statusa kolinesteraza, a time i kvalitetnije dijagnoze

    Knowledge and power: the role of the Big Four in the competitive disharmonization of global corporate tax avoidance regulations

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    The Big Four professional services firms - PwC, Deloitte, KPMG and EY - are MNCs that exist to promote, sanction, and regularise the behaviour and practices of other MNCs. They act as reputational intermediaries that embody and enact informal industry norms and practices, and in so doing they potentially govern both other MNCs and governments. Sometimes they even seek to govern on behalf of them. Whether advising or acting as private governors, their services are neither purely technical nor neutral because as they serve the interests of MNCs, they also construct and enhance their legitimacy and discursive power. This chapter looks at their role in both facilitating, and discursively defending, global corporate tax avoidance, a major issue in recent years as MNCs use their ability to operate across multiple jurisdictions to take advantage of opportunities to reduce or eliminate their taxation obligations
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