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Instagram photography as embodied practice: performances and gazes

This paper examines the social rules and conventions of photography practices on visual social media platforms through revisiting the concept of gaze. More specifically we analyse how 25 participants in so-called Instagram take-overs make sense of and perform photography as an embodied visual practice situated in time and space. Hence, approaching that which is seen on Instagram from the viewpoint

In the eye of the storm: Organisational response strategies to visually generated crisis

Visuals like photographs and videos produced and circulated by lay people in social media serve as significant mediators in crisis communication. Such visuals are crucial for the way contemporary crisis events are defined and perceived in public (Mortensen, 2015; Coombs, 2007). This type of eyewitness footage is a growing visual genre of crisis communication. Yet, previous studies tend to neglect

Liquid-liquid two-phase flow patterns in ultra-shallow straight and serpentine microchannels

Water-butanol and water-hexane flows were visualized in ultra-shallow straight and serpentine microchannels with a cross-junction. At the inlet cross-junction, three major flow patterns including tubing/threading, dripping and jetting were mapped using the aqueous Capillary number versus the organic Weber number. Correspondingly, in the main microchannel, annular flow, slug flow and droplet flow w

A review on molten-salt-based and ionic-liquid-based nanofluids for medium-to-high temperature heat transfer

Molten-salt-based nanofluids and ionic-liquid-based nanofluids are developed for thermal storage and heat transfer at relatively high temperatures, in the past few years. Preparation and stabilization techniques are briefly introduced firstly, and then, thermal properties, e.g., specific heat, thermal conductivity and viscosity, are summarized and discussed in detail. The properties are not only a

Numerical methods for micro heat exchangers

This chapter presents a state-of-the-art overview of numerical methods for single-phase flow and two-phase flow in microchannel heat exchangers, as well as the relevant single-phase and two-phase computational fluid dynamics (CFD) applications. Governing equations are given for both single-phase flow and two-phase flow with and without phase change. For single- phase flow, scaling effects, such as

Condensation pressure drop and heat transfer in 5-MM-OD micro-fin tubes

An experimental investigation was performed for convective condensation of R410A inside four micro-fin tubes with the same outside diameter (OD) 5 mm and helix angle 18°. Data are for mass fluxes ranging from about 180 to 650 kg/m2s. The nominal saturation temperature is 320 K, with inlet and outlet qualities of 0.8 and 0.1, respectively. The results suggest that Tube 4 has the best thermal perfor

An analysis of saturated critical heat flux in micro/mini-channels

This paper verified the macro-to-micro-scale transitional criterion BoRel 0.5 = 200 proposed by Li and Wu [W. Li, Z. Wu, A general criterion for evaporative heat transfer in micro/minichannels, International Journal of Heat and Mass Transfer 53 (2010) 1967-1976] because data points where BoRel 0.5 ≤ 200 and BoRel 0.5 > 200 show very different trends for the entire database (1,672 data points). For

Technical Note : Initial assessment of a multi-method approach to spring-flood forecasting in Sweden

Hydropower is a major energy source in Sweden, and proper reservoir management prior to the spring-flood onset is crucial for optimal production. This requires accurate forecasts of the accumulated discharge in the spring-flood period (i.e. the spring-flood volume, SFV). Today's SFV forecasts are generated using a model-based climatological ensemble approach, where time series of precipitation and

Imaging in gynecological disease (13) : clinical and ultrasound characteristics of endometrioid ovarian cancer

OBJECTIVE: To describe the clinical and ultrasound characteristics of ovarian pure endometrioid carcinomas.METHODS: This was a retrospective multicenter study of patients with a histological diagnosis of pure endometrioid carcinoma. We identified 161 patients from the International Ovarian Tumor Analysis (IOTA) database who had undergone preoperative ultrasound examination by an experienced ultras

Seasonal precipitation forecast based on artificial neural networks

Agriculture is vulnerable to the interannual climate variability and to its unpredictability, in such a way that most agricultural decisions taken within the time horizon of several months are made in a conservative manner, supposing a near-pessimist scenario. The improvement of climate prediction may help the strategic view, mitigating unwanted impacts and taking advantage of favorable conditions

Statistical atmospheric downscaling of short-term extreme rainfall by neutral networks

Statistical atmospheric rainfall downscaling, that is, statistical estimation of local or regional rainfall on the basis of large-scale atmospheric circulation, has been advocated to make the output from global and regional climate models more accurate for a particular location or basin. Neural networks (NNs) have been used for such downscaling, but their application has proved problematic, mainly

Solar-climatic relationship and implications for hydrology

Research during the latest years has indicated a significant connection between climate and solar activity. Specifically, a relationship between Northern Hemisphere air temperature and sunspot cycle length (SCL) has been shown. By using monthly SCL and land air temperature from 1753-1990 (238 years) we show that this relationship also holds for a single observation point in south of Sweden. Using

Statistical atmospheric downscaling for rainfall estimation in Kyushu Island, Japan

The present paper develops linear regression models based on singular value decomposition (SVD) with the aim of downscaling atmospheric variables statistically to estimate average rainfall in the Chikugo River Basin, Kyushu Island, southern Japan, on a 12-hour basis. Models were designed to take only significantly correlated areas into account in the downscaling procedure. By using particularly pr

Forecasting discharge in Amazonia using artificial neural networks

The Amazon, located in northern South America, is the world's largest river basin, and covers an area of about 6.5 million km2. The observed interannual variability in precipitation and water availability during its main discharge season has been shown to be influenced by Pacific and Atlantic Ocean sea surface temperatures (SSTs). However, the links between large-scale atmospheric motion and local

Seasonal runoff forecast for northern South America : A statistical model

The variability of water availability in the Amazon Basin is highly related to the sea surface temperature (SST) pattern over the Atlantic and the Pacific Oceans. The possibility of forecasting this variability one season in advance is a necessity for the correct management of water in the region for water supply, energy production, and flood control. Here we present the development of a statistic

The relationships between tropical Pacific and Atlantic SST and northeast Brazil monthly precipitation

The monthly patterns of northest Brazil (NEB) precipitation are analyzed in relation to sea surface temperature (SST) in the tropical Pacific and Atlantic Oceans, using singular value decomposition. It is found that the relationships between precipitation and SST in both basins vary considerably throughout the rainy season (February-May). In January, equatorial Pacific SST is weakly correlated wit

Regionalization and spatial properties of Ceará State rainfall in northeast Brazil

The overall daily rainfall pattern of Ceará for 19 years, 1974-1992, was analyzed in terms of physiography and atmospheric circulation. This information was used to suggest a regionalization of the state's rainfall into homogeneous areas. The three large-scale precipitation mechanisms (Intertropical Convergence Zone, cold fronts, and upper air vortices) interact and create a certain rainfall patte