Capacitors can radiate - some consequences of the two-capacitor problem with radiation

We fill a gap in the arguments of Boykin et al [American Journal of Physics, Vol 70 No. 4, pp 415-420 (2002)] by not invoking an electric current loop (i.e. magnetic dipole model) to account for the radiation energy loss, since an obvious corollary of their results is that the capacitors should radiate directly even if the connecting wires are shrunk to zero length. That this is so is shown here by a direct derivation of capacitor radiation using an oscillating electric dipole radiator model for the capacitors as well as the alternative less widely known magnetic 'charge' current loop representation for an electric dipole [see for example "Electromagnetic Waves" by S.A.Schlekunoff, van Nostrand (1948)]. Implications for Electromagnetic Compliance (EMC) issues as well as novel antenna designs further motivate the purpose of this paper.Comment: 5 Pages with No figure

Understanding the performance of water supply systems during mild to extreme droughts

This project assessed the performance of different types of public water supply systems in England and Wales in a range of droughts, including those that are more severe than the worst droughts in the historical record

Por que teoria é importante: Uma investigação das reformas contemporâneas do tempo de aprendizagem

This article explores the contemporary policy reform push to extend and expand learning time in schools. In light of the potential and continued prominence of learning time reforms in today’s national educational landscape, this article makes visible the ways in which theory matters for the near- and long-term success of equity-focused educational reforms. Using the recent enactment of learning time reforms in Colorado as an illustration, and the zone of mediation framework as a conceptual lens, this article demonstrates how such reforms are likely to be weakened and undermined without strong theoretical grounding.Este artículo examina políticas contemporáneas que enfatizan un cambio para extender y/o dispersar el tiempo de aprendizaje en las escuelas. Dado el potencial y relevancia actual de las reformas hacia el tiempo de aprendizaje en el campo general de educación, el propósito de este articulo es brevemente enaltecer las maneras en las cuales la teoría educativa son de suma importancia, a largo y corto plazo, para asegurar el éxito de dichas reformas educativas orientadas hacia la equidad. Utilizando el ejemplo de la implementación de estas reformas en Colorado, y el instrumento teorético de la zona me mediación, este artículo demuestra como reformas similares pueden ser disminuidos por una falta de un base de teoría fuerte.Este artigo examina o promover da reforma contemporânea das regras para ampliar e expandir o tempo de aprendizagem nas escolas. Considerando o potencial e o contínuo destaque da reforma do tempo de aprendizagem no ambiente da educação nacional atualmente, este artigo ilustra as maneiras em que teoria é importante para o sucesso imediato e futuro das reformas educacionais que se focalizam em equidade. Usando a recente promulgação das reformas do tempo de aprendizagem em Colorado como ilustração, e o sistema de zona de mediação como uma lente conceitual, o artigo demonstra como tais reformas serão provavelmente enfraquecidas sem uma forte base teórica

Occupational cooling practices of emergency first responders in the United States: A survey

This is an accepted manuscript of an article published by Taylor & Francis in Temperature on 29/07/2018, available online: https://doi.org/10.1080/23328940.2018.1493907 The accepted version of the publication may differ from the final published version.© 2018 Informa UK Limited, trading as Taylor & Francis Group. Despite extensive documentation directed specifically toward mitigating thermal strain of first responders, we wished to ascertain the degree to which first responders applied cooling strategies, and what opinions are held by the various agencies/departments within the United States. An internet-based survey of first responders was distributed to the International Association of Fire Chiefs, International Association of Fire Firefighters, National Bomb Squad Advisory Board and the USA Interagency Board and their subsequent departments and branches. Individual first responder departments were questioned regarding the use of pre-, concurrent, post-cooling, types of methods employed, and/or reasons why they had not incorporated various methods in first responder deployment. Completed surveys were collected from 119 unique de-identified departments, including those working in law enforcement (29%), as firefighters (29%), EOD (28%) and HAZMAT technicians (15%). One-hundred and eighteen departments (99%) reported heat strain/illness to be a risk to employee safety during occupational duties. The percentage of departments with at least one case of heat illness in the previous year were as follows: fire (39%) HAZMAT (23%), EOD (20%) and law enforcement (18%). Post-cooling was the scheduled cooling method implemented the most (63%). Fire departments were significantly more likely to use post-cooling, as well as combine two types of scheduled cooling compared to other departments. Importantly, 25% of all departments surveyed provided no cooling whatsoever. The greatest barriers to personnel cooling were as follows–availability, cost, logistics, and knowledge. Our findings could aid in a better understanding of current practices and perceptions of heat illness and injury prevention in United States first responders. Abbreviations: EOD: explosive ordnance disposal; HAZMAT: hazardous materials.This project is financially supported by the United States Government through the United States Department of Defense (DOD).Published versio

COST 733 - WG4: Applications of weather type classification

The main objective of the COST Action 733 is to achieve a general numerical method for assessing, comparing and classifying typical weather situations in the European regions. To accomplish this goal, different workgroups are established, each with their specific aims: WG1: Existing methods and applications (finished); WG2: Implementation and development of weather types classification methods; WG3: Comparison of selected weather types classifications; WG4: Testing methods for various applications. The main task of Workgroup 4 (WG4) in COST 733 implies the testing of the selected weather type methods for various classifications. In more detail, WG4 focuses on the following topics:• Selection of dedicated applications (using results from WG1), • Performance of the selected applications using available weather types provided by WG2, • Intercomparison of the application results as a results of different methods • Final assessment of the results and uncertainties, • Presentation and release of results to the other WGs and external interested • Recommend specifications for a new (common) method WG2 Introduction In order to address these specific aims, various applications are selected and WG4 is divided in subgroups accordingly: 1.Air quality 2. Hydrology (& Climatological mapping) 3. Forest fires 4. Climate change and variability 5. Risks and hazards Simultaneously, the special attention is paid to the several wide topics concerning some other COST Actions such as: phenology (COST725), biometeorology (COST730), agriculture (COST 734) and mesoscale modelling and air pollution (COST728). Sub-groups are established to find advantages and disadvantages of different classification methods for different applications. Focus is given to data requirements, spatial and temporal scale, domain area, specifi

Using a long short-term memory (LSTM) neural network to boost river streamflow forecasts over the western United States

Accurate river streamflow forecasts are a vital tool in the fields of water security, flood preparation and agriculture, as well as in industry more generally. Traditional physics-based models used to produce streamflow forecasts have become increasingly sophisticated, with forecasts improving accordingly. However, the development of such models is often bound by two soft limits: empiricism – many physical relationships are represented empirical formulae; and data sparsity – long time series of observational data are often required for the calibration of these models. Artificial neural networks have previously been shown to be highly effective at simulating non-linear systems where knowledge of the underlying physical relationships is incomplete. However, they also suffer from issues related to data sparsity. Recently, hybrid forecasting systems, which combine the traditional physics-based approach with statistical forecasting techniques, have been investigated for use in hydrological applications. In this study, we test the efficacy of a type of neural network, the long short-term memory (LSTM), at predicting streamflow at 10 river gauge stations across various climatic regions of the western United States. The LSTM is trained on the catchment-mean meteorological and hydrological variables from the ERA5 and Global Flood Awareness System (GloFAS)–ERA5 reanalyses as well as historical streamflow observations. The performance of these hybrid forecasts is evaluated and compared with the performance of both raw and bias-corrected output from the Copernicus Emergency Management Service (CEMS) physics-based GloFAS. Two periods are considered, a testing phase (June 2019 to June 2020), during which the models were fed with ERA5 data to investigate how well they simulated streamflow at the 10 stations, and an operational phase (September 2020 to October 2021), during which the models were fed forecast variables from the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS), to investigate how well they could predict streamflow at lead times of up to 10 d. Implications and potential improvements to this work are discussed. In summary, this is the first time an LSTM has been used in a hybrid system to create a medium-range streamflow forecast, and in beating established physics-based models, shows promise for the future of neural networks in hydrological forecasting

The European 2015 drought from a hydrological perspective

In 2015 large parts of Europe were affected by drought. In this paper, we analyze the hydrological footprint (dynamic development over space and time) of the drought of 2015 in terms of both severity (magnitude) and spatial extent and compare it to the extreme drought of 2003. Analyses are based on a range of low flow and hydrological drought indices derived for about 800 streamflow records across Europe, collected in a community effort based on a common protocol. We compare the hydrological footprints of both events with the meteorological footprints, in order to learn from similarities and differences of both perspectives and to draw conclusions for drought management. The region affected by hydrological drought in 2015 differed somewhat from the drought of 2003, with its center located more towards eastern Europe. In terms of low flow magnitude, a region surrounding the Czech Republic was the most affected, with summer low flows that exhibited return intervals of 100 years and more. In terms of deficit volumes, the geographical center of the event was in southern Germany, where the drought lasted a particularly long time. A detailed spatial and temporal assessment of the 2015 event showed that the particular behavior in these regions was partly a result of diverging wetness preconditions in the studied catchments. Extreme droughts emerged where preconditions were particularly dry. In regions with wet preconditions, low flow events developed later and tended to be less severe. For both the 2003 and 2015 events, the onset of the hydrological drought was well correlated with the lowest flow recorded during the event (low flow magnitude), pointing towards a potential for early warning of the severity of streamflow drought. Time series of monthly drought indices (both streamflow- and climate-based indices) showed that meteorological and hydrological events developed differently in space and time, both in terms of extent and severity (magnitude). These results emphasize that drought is a hazard which leaves different footprints on the various components of the water cycle at different spatial and temporal scales. The difference in the dynamic development of meteorological and hydrological drought also implies that impacts on various water-use sectors and river ecology cannot be informed by climate indices alone. Thus, an assessment of drought impacts on water resources requires hydrological data in addition to drought indices based solely on climate data. The transboundary scale of the event also suggests that additional efforts need to be undertaken to make timely pan-European hydrological assessments more operational in the future

Synthesis, in vitro antiproliferative activities, and Chk1 inhibitory properties of dipyrrolo[3,4-a:3,4-c]carbazole triones.

The syntheses of dipyrrolo[3,4-a:3,4-c]carbazole-1,4,6-triones and dipyrrolo[3,4-a:3,4-c]carbazole-3,4,6-triones are reported. These compounds can be considered as granulatimide analogues in which a maleimide replaces the imidazole moiety and a five-membered lactam ring replaces the upper maleimide. The Chk1 inhibitory properties of the more soluble compounds have been evaluated and their in vitro antiproliferative activities toward three tumor cell lines: murine leukemia L1210, and human colon carcinoma HT29 and HCT116. Due to their insolubility, the biological activities of the other compounds in this series could not be evaluated. All the tested compounds proved to be potent Chk1 inhibitor

Reader technique as a source of variability in determining malaria parasite density by microscopy

BACKGROUND: Accurate identification and quantification of malaria parasites are critical for measuring clinical trial outcomes. Positive and negative diagnosis is usually sufficient for the assessment of therapeutic outcome, but vaccine or prophylactic drug trials require measuring density of infection as a primary endpoint. Microscopy is the most established and widely-used technique for quantifying parasite densities in the blood. METHODS: Results obtained by 24–27 expert malaria microscopists, who had independently read 895 slides from 35 donors, were analysed to understand how reader technique contributes to discrepancy in measurements of parasite density over a wide range of densities. RESULTS: Among these 35 donations, standard deviations ranged from 30% to 250% of the mean parasite density and the percent discrepancy was inversely correlated with the mean parasite density. The number of white blood cells indexed and whether parasites were counted in the thick film or thin film were shown to significantly contribute to discrepancy amongst microscopists. CONCLUSION: Errors in microscopy measurements are not widely appreciated or addressed but have serious consequences for efficacy trials, including possibly abandoning promising vaccine candidates