5,741 research outputs found

    Apparatus and method for treating pollutants in a gas using hydrogen peroxide and UV light

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    An apparatus for treating pollutants in a gas may include a source of hydrogen peroxide, and a treatment injector for creating and injecting dissociated hydrogen peroxide into the flow of gas. The treatment injector may further include an injector housing having an inlet, an outlet, and a hollow interior extending therebetween. The inlet may be connected in fluid communication with the source of hydrogen peroxide so that hydrogen peroxide flows through the hollow interior and toward the outlet. At least one ultraviolet (UV) lamp may be positioned within the hollow interior of the injector housing. The at least one UV lamp may dissociate the hydrogen peroxide flowing through the tube. The dissociated hydrogen peroxide may be injected into the flow of gas from the outlet for treating pollutants, such as nitrogen oxides

    Gamma radiation sterilization of Bactrocera invadens (Diptera: Tephritidae) from southern Ghana

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    The African invader fly, Bactrocera invadens, an invasive pest in Africa since 2003, causes damage and poses a threat to the mango and horticultural industry. Its control is therefore needed. Sterilization of males using gamma radiation doses (25, 50 and 75 Gy) as a means of population control was investigated. Irradiation at the pupal stage (about 6 days after pupation) was found to be suitable. It was observed that a gamma radiation dose of 75 Gy rendered males of B. invadens completely sterile, while doses of 25 and 50 Gy induced partial sterility in the males. Females were made completely sterile by all doses of radiation tested.Keywords: Bactrocera invadens, mango, gamma radiation doses, Sterile Insect Technique, fertilit

    Analisis Faktor-Faktor Yang Mempengaruhi Dimensi Penyusun Indeks Pembangunan Manusia (IPM) Di Provinsi Sulawesi Utara

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    This study aims to analyze the Pure Partisipation Rate of SD/MI and Gross Regional Domestic Product which affect the Education Dimension (Expected Years of Schooling) in North Sulawesi Province and to analyze the number of poor people and the open unemployment rate which affect the Expenditure Dimension (Decent Standard of Living) in North Sulawesi Province. This research was conducted from March to May 2023. The type of data used is secondary data from published reports produced by the North Sulawesi Central Statistics Agency for 2021. The objects in this study were 15 districts/cities in North Sulawesi province. The results of the study show that the Pure Partisipation Rate of SD/MI and Gross Regional Domestic Product simultaneously have an influence on the Old School Expectancy. The influence exerted by PPR SD/MI is 37.7% and GRDP is 25.8%. The number of poor people and the open unemployment rate simultaneously have an influence on per capita spending. The influence given by the number of poor people is 39.9% and the open unemployment rate is 45.8%

    Book Reviews

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    Reviews of the following books: Landscape with Figures: Nature & Culture in New England by Kent C. Ryden; Imagining New England: Explorations of Regional Identity from the Pilgrims to the Mid-Twentieth Century by Joseph A. Conforti. A Good and Wise Measure: the Search for the American-Canadian Boundary, 1783-1842 by Francis M. Carroll. John Ford in Focus: Essays on the Filmmaker’s Life and Work, edited by Kevin L. Stoehr and Michael C. Connolly. Styles Bridges: Yankee Senator by James J. Kiepper. Giving Voters a Voice: The Origins of the Initiative and Referendum in America by Steven L. Piott. Androscoggin County, Maine – 150th: A Pictorial Sesquicentennial History, 1854 – 2004 edited by Michael C. Lord and W. Dennis Stires. Down on the Island, Up on the Main: A Recollected History of South Bristol, Maine compiled and annotated by Ellen Vincen

    Essential dynamics of proteins using geometrical simulations and subspace analysis

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    Essential dynamics is the application of principal component analysis to a dynamic trajectory derived from a simulation protocol in order to extract biologically relevant information contained in the high dimensional data. In this work, we apply the methodology of essential dynamics to protein trajectories derived from geometrical simulations, which are based on the perturbation of geometrical constraints inherent in a protein. Specifically, we show that the geometrical simulation model is highly efficient for the determination of native state dynamics. Furthermore, by the application of subspace analysis to the essential subspaces of multiple sets of proteins that were simulated under multiple modeling paradigms, we show that the geometrical modeling paradigm is internally consistent and provides results that are qualitatively and quantitatively similar to results obtained from the more commonly employed methods of elastic network models and molecular dynamics. The geometrical paradigm is therefore established as a viable alternative or co-model for the investigation of native state protein dynamics with application to both small, single domain proteins as well as large, multi domain systems

    Accuracy of intra-operative PTH measurement during subtotal parathyroidectomy for tertiary hyperparathyroidism after renal transplantation

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    Background and aims: Intra-operative parathyroid hormone (IOPTH) results are not known in the setting of tertiary hyperparathyroidism (HPT) after renal transplantation. Materials and methods: A retrospective analysis of 35 tertiary HPT patients who all underwent subtotal parathyroidectomy and IOPTH monitoring was conducted. Results: The mean follow-up time was 2.2±1.4years. Thirty-four patients were cured; one patient (2.8%) had a persistent disease and was cured after reoperation. Median parathyroid hormone (PTH) (median percent decrease from highest) at baseline and at 5, 10, 20, and 30min were 244, 78 (69%), 63 (75%), 53 (79%), and 49pg/ml (83%), respectively. Four patients who were cured had a decrease of 50% at 10min. The sensitivity of the test was 94% at 10min using the Miami criteria. Conclusion: This study shows that IOPTH in tertiary hyperparathyroidism has a high sensitivity. However, because of the low risk of persistent hyperparathyroidism when a subtotal parathyroidectomy is performed, its potential impact on the overall success rate is very small. We therefore do not recommend the routine use of IOPTH in tertiary hyperparathyroidis

    The interaction of transmission intensity, mortality, and the economy: a retrospective analysis of the COVID-19 pandemic

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    The COVID-19 pandemic has caused over 6.4 million registered deaths to date, and has had a profound impact on economic activity. Here, we study the interaction of transmission, mortality, and the economy during the SARS-CoV-2 pandemic from January 2020 to December 2022 across 25 European countries. We adopt a Bayesian vector autoregressive model with both fixed and random effects. We find that increases in disease transmission intensity decreases Gross domestic product (GDP) and increases daily excess deaths, with a longer lasting impact on excess deaths in comparison to GDP, which recovers more rapidly. Broadly, our results reinforce the intuitive phenomenon that significant economic activity arises from diverse person-to-person interactions. We report on the effectiveness of non-pharmaceutical interventions (NPIs) on transmission intensity, excess deaths and changes in GDP, and resulting implications for policy makers. Our results highlight a complex cost-benefit trade off from individual NPIs. For example, banning international travel increases GDP however reduces excess deaths. We consider country random effects and their associations with excess changes in GDP and excess deaths. For example, more developed countries in Europe typically had more cautious approaches to the COVID-19 pandemic, prioritising healthcare and excess deaths over economic performance. Long term economic impairments are not fully captured by our model, as well as long term disease effects (Long Covid). Our results highlight that the impact of disease on a country is complex and multifaceted, and simple heuristic conclusions to extract the best outcome from the economy and disease burden are challenging

    The Geostationary Carbon Process Mapper

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    The Geostationary Carbon Process Mapper (GCPM) is an earth science mission to measure key atmospheric trace gases and process tracers related to climate change and human activity. The measurement strategy delivers a process based understanding of the carbon cycle that is accurate and extensible from city to regional and continental scales. This understanding comes from contiguous maps of carbon dioxide (CO2), methane (CH4), carbon monoxide (CO), and chlorophyll fluorescence (CF) collected up to 10 times per day at high spatial resolution (~4km × 4km) from geostationary orbit (GEO). These measurements will capture the spatial and temporal variability of the carbon cycle across diurnal, synoptic, seasonal and interannual time scales. The CO2/CH4/CO/CF measurement suite has been specifically selected because their combination provides the information needed to disentangle natural and anthropogenic contributions to atmospheric carbon concentrations and to minimize key uncertainties in the flow of carbon between the atmosphere and surface since they place constraints on both biogenic uptake and release as well as on combustion emissions. Additionally, GCPM's combination of high-resolution mapping and high measurement frequency provide quasi-continuous monitoring, effectively eliminating atmospheric transport uncertainties from source/sink inversion modeling. GCPM uses a single instrument, the “Geostationary Fourier Transform Spectrometer (GeoFTS)” to make measurements in the near infrared spectral region at high spectral resolution. The GeoFTS is a half meter cube size instrument designed to be a secondary “hosted” payload on a commercial GEO satellite. NASA and other government agencies have adopted the hosted payload implementation approach because it substantially reduces the overall mission cost. This paper presents a hosted payload implementation approach for measuring the major carbon-containing gases in the atmosphere from the geostationary vantage point, to affordably advance the scientific understating of carbon cycle processes and climate change
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