“Art Will Not Disappear Into Nothing; It Will Disappear Into Everything“: The Black Audio Film Collective and Latin America

The development of Latin American cinema in the 1960s was underwritten by a number of key texts that outlined the aesthetic and political direction of individual filmmakers and collectives (Solanas and Getino, 1969; Rocha, 1965; Espinosa, 1969). Although asserting the specificity of Latin American culture, the theoretical foundations of its New Wave influenced oppositional filmmaking way beyond its own regional boundaries. This chapter looks at how movements in British art cinema, especially the Black Audio Film Collective, were inspired and propelled by the theories behind New Latin American cinema. Facilitated by English translations in journals such as Jump Cut in the early ‘80s, Cuban and Argentine cinematic manifestoes provided a radical alternative to the traditional language of film theory available to filmmakers in Europe and works such as Signs of Empire (1983-4); Handsworth Songs (1986) and Seven Songs for Malcolm X (1993) grew out of this trans-continental exchange. The Black Audio Film Collective represented a merging of politics, popular culture, and art that was, at once, oppositional and melodic. Fusing postcolonial discourse with pop music, the avant-garde and re-imaginings of subalternity, the work of ‘The Collective’ provides us with a useful example of how British art cinema has drawn from theoretical foundations formed outside of Europe and the West. As this chapter will argue however, the Black Audio Film Collective’s work can also be read as a reaction to the specificity of British socio-politics of the ‘80s and ‘90s. Its engagement with the aesthetico-political strategies of Latin American cinema, then, undercut what was a solidly British project, rooted in (post)colonial history and emerging ideas of disaporic identity. If the propulsive thrust of The Black Audio Film Collective’s art was shaped by Third Cinema, its images and concerns were self-consciously British.

Techno-Economic Assessment of LNG and Diesel Production and Global Trading Based on Hybrid PV-Wind Power Plants and PtG, GtL and PtL Technologies

With growing demand for liquefied natural gas (LNG) and liquid transportation fuels, and concerns about climate change and causes of greenhouse gas emissions, this master’s thesis introduces a new value chain design for LNG and transportation fuels and respective fundamental business cases based on hybrid PV-Wind power plants. The value chains are composed of renewable electricity (RE) converted by power-to-gas (PtG), gas-to-liquids (GtL) or power-to-liquids (PtL) facilities into SNG (which is finally liquefied into LNG) or synthetic liquid fuels, mainly diesel, respectively. The RE-LNG or RE-diesel are drop-in fuels to the current energy system and can be traded everywhere in the world. The calculations for the hybrid PV-Wind power plants, electrolysis, methanation (H2tSNG), hydrogen-to-liquids (H2tL), GtL and LNG value chain are performed based on both annual full load hours (FLh) and hourly analysis. Results show that the proposed RE-LNG produced in Patagonia, as the study case, is competitive with conventional LNG in Japan for crude oil prices within a minimum price range of about 87 - 145 USD/barrel (20 – 26 USD/MBtu of LNG production cost) and the proposed RE-diesel is competitive with conventional diesel in the European Union (EU) for crude oil prices within a minimum price range of about 79 - 135 USD/barrel (0.44 – 0.75 €/l of diesel production cost), depending on the chosen specific value chain and assumptions for cost of capital, available oxygen sales and CO2 emission costs. RE-LNG or RE-diesel could become competitive with conventional fuels from an economic perspective, while removing environmental concerns. The RE-PtX value chain needs to be located at the best complementing solar and wind sites in the world combined with a de-risking strategy. This could be an opportunity for many countries to satisfy their fuel demand locally. It is also a specific business case for countries with excellent solar and wind resources to export carbon-neutral hydrocarbons, when the decrease in production cost is considerably more than the shipping cost. This is a unique opportunity to export carbon-neutral hydrocarbons around the world where the environmental limitations on conventional hydrocarbons are getting tighter.

Identification of protein targets of nevirapine reactive metabolites using click chemistry and mass spectrometry-based differential proteomics

Abstract : Adverse drug reactions (ADRs) are undesirable effects caused after administration of a single dose or prolonged administration of drug or result from the combination of two or more drugs. Idiosyncratic drug reaction (IDR) is an adverse reaction that does not occur in most patients treated with a drug and does not involve the therapeutic effect of the drug. IDRs are unpredictable and often life-threatening. Idiosyncratic reaction is dependent on drug chemical characteristics or individual immunological response. IDRs are a major problem for drug development because they are usually not detected during clinical trials. In this study we focused on IDRs of Nevirapine (NVP), which is a non-nucleoside reverse transcriptase inhibitor used for the treatment of Human Immunodeficiency Virus (HIV) infections. The use of NVP is limited by a relatively high incidence of skin rash. NVP also causes a rash in female Brown Norway (BN) rats, which we use as animal model for this study. Our hypothesis is that idiosyncratic skin reactions associated with NVP treatment are due to post-translational modifications of proteins (e.g., glutathionylation) detectable by MS. The main objective of this study was to identify the proteins that are targeted by a reactive metabolite of Nevirapine in the skin. The specific objectives derived from the general objective were as follow: 1) To implement the click chemistry approach to detect proteins modified by a reactive NVP-Alkyne (NVP-ALK) metabolite. The purpose of using NVP-ALK was to couple it with Biotin using cycloaddition Click Chemistry reaction. 2) To detect protein modification using Western blotting and Mass Spectrometry techniques, which is important to understand the mechanism of NVP induced toxicity. 3) To identify the proteins using MASCOT search engine for protein identification, by comparing obtained spectrum from Mass Spectrometry with theoretical spectrum to find a matching peptide sequence. 4) To test if the drug or drug metabolites can cause harmful effects, as the induction of oxidative stress in cells (via protein glutathionylation). Oxidative stress causes cell damage that mediates signals, which likely induces the immune response. The results showed that Nevirapine is metabolized to a reactive metabolite, which causes protein modification. The extracted protein from the treated BN rats matched 10% of keratin, which implies that keratin was the protein targeted by the NVP-ALK.

Measurements of small ice crystals in arctic cirrus: observations from the Indirect and Semi-Direct Aerosol Campaign (ISDAC)

In-situ observations on the size and shape of particles in arctic cirrus are less common than those in mid-latitude and tropical cirrus with considerable uncertainty about the contributions of small ice crystals (maximum dimension D<50 µm) to the mass and radiative properties that impact radiative forcing. In situ measurements of small ice crystals in arctic cirrus were made during the Indirect and Semi-Direct Aerosol Campaign (ISDAC) in April 2008 during transits of the National Research Council of Canada Convair-580 between Fairbanks and Barrow, Alaska and during Mixed Phase Arctic Cloud Experiment (MPACE) in October 2004 with the University of North Dakota (UND) Citation over Barrow, Alaska. Concentrations of small ice crystals with D < 50 μm from a Cloud and Aerosol Spectrometer (CAS), a Cloud Droplet Probe (CDP), a Forward Scattering Spectrometer Probe (FSSP), and a two-dimensional stereo probe (2DS) were compared as functions of the concentrations of crystals with D > 100 μm measured by a Cloud Imaging Probe (CIP) and two-dimensional stereo probe (2DS) in order to assess whether the shattering of large ice crystals on protruding components of different probes artificially amplified measurements of small ice crystal concentrations. The dependence of the probe comparison on other variables as CIP N>100 (number concentrations greater than diameter D>100 μm),temperature, relative humidity respect to ice (RHice), dominant habit from the Cloud Particle Imager (CPI), aircraft roll, pitch, true air speed and angle of attack was examined to understand potential causes of discrepancies between probe concentrations. Data collected by these probes were also compared against the data collected by a CAS, CDP and CIP during the Tropical Warm Pool-International Cloud Experiment (TWP-ICE) and by a CAS and 2DS during the Tropical Composition, Cloud and Climate Coupling (TC4) missions. During ISDAC, the CAS and FSSP both overestimated measurements of small ice crystals compared to both the CDP and 2DS by 1-2 orders of magnitude. Further, the amount of overestimation increased with the concentrations from the CIP2 (N>100 > 0.1 L-1). There was an unexplained discrepancy in concentrations of small crystals between the CDP and 2DS during ISDAC. In addition, there was a strong dependence on RHice of the average ratios of the N3-50, CAS/N3-50,CDP, N3-50, FSSP096/N3-50,CDP, N3-50, CAS/N3-50,FSSP096, N10-50, CDP/N3-50,2DS, N10-50, FSSP096/N10-50,2DS. Continued studies are needed to understand the discrepancy of these probes.

Legal consideration on Convention for the Prevention of Dumping of Wastes and Other Matter (at sea) and assessment of its implementation in Iran (The London [dumping] Convention)

Making use of sea, as a place for dumping of wastes and other materials from human activities wasn’t forbidden before creation of the convention on the prevention of marine pollution by dumping of wastes and other matters (London Convention). Therefore, industrial countries, without any specific consideration, were dumping their wastes into the world’s seas. Many years and before the beginning of rapid development of industry, the great self- purification of seas were preventing some of discharging problems. But gradually, the increase of industrial development activities, exceeded the production of wastes and other matters, and this led to the misuse of world’s seas and oceans as a dump site. One of the most important consequences of 1972 Stockholm World Conference was to focusing world attention on threats have jeopardized marine environment balance. World countries` leaders committed in Stockholm to begin protecting the environment. Finally, this movement at marine environment section led to the creation of London Convention in the same year. London Convention was concluded for cooperating between countries at December 29, 1972 to promote effective control of all marine environment polluting resources and to prevent marine pollution by dumping wastes and other matters. Then it was opened for signature to other countries. At last, after 15 states signature, this convention was entered in to force at August 30.1975. Ratification and execution of London Convention resulted in coordinated performance of countries in marine waste management. Common actions with supports and cooperation of different international, regional, governmental and non-governmental organizations and agencies prevent marine pollution by dumping of wastes and other matters. Due to the importance of wastes in our marine and coastal areas, investigation of the performance of London Convention can identify the lack of regulations and lack of regulation supports about marine pollution prevention by dumping of wastes and other matters in Iran. Considering this issue, proper protection of seas will be achieved. London Convention has been studied here to achieve intended purposes. In first chapter, generalities about marine environment, including the importance and necessity of marine environment protection, with the focus on some internal and international resources of environmental law accompanying with marine pollution and its recourses, and finally, due to the study theme, dumping of wastes and other matters at seas with its impacts have been investigated .In the section of international measures, a brief history of marine pollution and marine environment international law with international law framework, exclusively for controlling of wastes and other material discharge at seas and oceans has been reviewed. In second chapter, obligations, amendments, and annexes of London Convention have been investigated and classified. The obligations have been categorized in to legal obligations and technical and organizational obligations. In former section, subject ,purpose, territory, exceptions, rights and duties of parties, convention amendments,… and in latter, special requirements for wastes assessment, determination of pollutants` permissible limit, site selection and type of discharge selection, design principles for marine environment quality monitoring program, and discharge license issuance mechanism have been studied. In third chapter, due to the examination of convention performance in Iran, the internal law system for marine environment conservation and its pollution has been mentioned in detail. Considering this, two issues have been compared .firstly, convention obligations with regional treaties that Iran as a party to them and secondly, Iranian internal law there of .Finally, common and different aspects of these issues have been determined. At last, recommendations and strategies for convention enforcement and conformity of its obligations with internal regulations have been presented. Furthermore, translation of convention English text has been reviewed and its protocol has been translated.

Chestnut and lemon balm based ingredients as natural preserving agents of the nutritional profile in matured “Serra da Estrela” cheese

Chestnut flowers, lemon balm plants and their decoctions were incorporated into "Serra da Estrela" cheese, to assess their potential to preserve its nutritional properties and provide new foodstuffs. The analyses were carried out after the normal ripening period of 1month and after 6months of storage. The most abundant nutrients were proteins and fats. The most abundant minerals were Ca and Na, while C16:0 and C18:1 were the main fatty acids. Saturated fatty acids were the most abundant, followed by the monounsaturated. Moisture seemed to be lower in the samples with the plants incorporated. The dried plants, when incorporated, seemed to be more efficient as preservers then the decoctions, although these better preserved the proteins. These plants can be regarded as promising natural preservers in foodstuffs cheese, given the preservation of key parameters and the slight impact on the nutritional value.

Low cost 3D global instability analysis and flow sensitivity based on dynamic mode decomposition and high-order numerical tools

We explore the recently developed snapshot-based dynamic mode decomposition (DMD) technique, a matrix-free Arnoldi type method, to predict 3D linear global flow instabilities. We apply the DMD technique to flows confined in an L-shaped cavity and compare the resulting modes to their counterparts issued from classic, matrix forming, linear instability analysis (i.e. BiGlobal approach) and direct numerical simulations. Results show that the DMD technique, which uses snapshots generated by a 3D non-linear incompressible discontinuous Galerkin Navier?Stokes solver, provides very similar results to classical linear instability analysis techniques. In addition, we compare DMD results issued from non-linear and linearised Navier?Stokes solvers, showing that linearisation is not necessary (i.e. base flow not required) to obtain linear modes, as long as the analysis is restricted to the exponential growth regime, that is, flow regime governed by the linearised Navier?Stokes equations, and showing the potential of this type of analysis based on snapshots to general purpose CFD codes, without need of modifications. Finally, this work shows that the DMD technique can provide three-dimensional direct and adjoint modes through snapshots provided by the linearised and adjoint linearised Navier?Stokes equations advanced in time. Subsequently, these modes are used to provide structural sensitivity maps and sensitivity to base flow modification information for 3D flows and complex geometries, at an affordable computational cost. The information provided by the sensitivity study is used to modify the L-shaped geometry and control the most unstable 3D mode.

Viability of irrigation by porous capsule method in arid and semi-arid regions.

This paper presents the results of four field experiments carried out with the objetive of evaluating the feaibility of irrigation by porous capsule method, from 1979 to 1983, at Bebedouro Experiment Station, EMBRAPA-CPATSA, Petrolina, PE, Brazil. The irrigation system consisted of fulcrum of cone shaped porous capsules, interconnected with conduit pipe and installed in the soil at equidistance and 0.10 m deep along contour lines. The hydrostatic pressures studies did not significantly influence the crop yield, but influenced, at 0.10 level, the daily water release from porous unit. The mean yields for watermelon (Citrullus vulgaris Shard), var. Charleston Gray, for muskmelon (Cucumis melo L.) var. Valenciano Amarelo, and for maize (Zea mays L.), var. Centralmex, estimated in ton/2,500 units/ha or in cobs/2,500 units/ha, were 28.5, 10 and 17,500, respectively. The water consumption for watermelon, musk melon and maize was, respectively, 60 mm, 60 mm and 100 mm in a deep sandy yellow-red latosol. The cost of the system was US$ 1.677,41/ha.

Collaborative filtering and deep learning based recommendation system for cold start items

Recommender system is a specific type of intelligent systems, which exploits historical user ratings on items and/or auxiliary information to make recommendations on items to the users. It plays a critical role in a wide range of online shopping, e-commercial services and social networking applications. Collaborative filtering (CF) is the most popular approaches used for recommender systems, but it suffers from complete cold start (CCS) problem where no rating record are available and incomplete cold start (ICS) problem where only a small number of rating records are available for some new items or users in the system. In this paper, we propose two recommendation models to solve the CCS and ICS problems for new items, which are based on a framework of tightly coupled CF approach and deep learning neural network. A specific deep neural network SADE is used to extract the content features of the items. The state of the art CF model, timeSVD++, which models and utilizes temporal dynamics of user preferences and item features, is modified to take the content features into prediction of ratings for cold start items. Extensive experiments on a large Netflix rating dataset of movies are performed, which show that our proposed recommendation models largely outperform the baseline models for rating prediction of cold start items. The two proposed recommendation models are also evaluated and compared on ICS items, and a flexible scheme of model retraining and switching is proposed to deal with the transition of items from cold start to non-cold start status. The experiment results on Netflix movie recommendation show the tight coupling of CF approach and deep learning neural network is feasible and very effective for cold start item recommendation. The design is general and can be applied to many other recommender systems for online shopping and social networking applications. The solution of cold start item problem can largely improve user experience and trust of recommender systems, and effectively promote cold start items.

Collaborative filtering and deep learning based hybrid recommendation for cold start problem

Recommender systems (RS) are used by many social networking applications and online e-commercial services. Collaborative filtering (CF) is one of the most popular approaches used for RS. However traditional CF approach suffers from sparsity and cold start problems. In this paper, we propose a hybrid recommendation model to address the cold start problem, which explores the item content features learned from a deep learning neural network and applies them to the timeSVD++ CF model. Extensive experiments are run on a large Netflix rating dataset for movies. Experiment results show that the proposed hybrid recommendation model provides a good prediction for cold start items, and performs better than four existing recommendation models for rating of non-cold start items.

The value of peer support and a strengths-based approach in a groupwork programme for fathers in a family support setting

This paper seeks to share and critically explore the learning gained through the genesis, realisation, and facilitation process of Just for Dads, a groupwork programme for fathers, run in a family support setting. It highlights the importance of and challenges involved in engaging men in practice, and in groupwork aimed at fathers in particular. It recounts the significance of using a strengths perspective as a framework for engaging fathers in groupwork and highlights its value as experienced by participants and facilitators. The dynamic of peer learning which developed as a key part of the groupwork process is discussed, both in relation to how it was experienced by participants and also the degree to which the facilitators were part of that dynamic. Overall the paper aims to document and air key issues arising in this relatively unexplored arena of groupwork and family support practice.

Riesgos psicosociales en trabajadores de una empresa agrícola y alimenticia en chile 2016.

RESUMEN INTRODUCCION: Los riesgos psicosociales en los últimos años han venido tomando importancia debido a que están íntimamente relacionados con el desarrollo de enfermedades producidas por el estrés tanto en la población general como en la comunidad trabajadora. De esta manera los riesgos psicosociales se convierten en un foco de interés cuando de prevención en el trabajo se trata. OBJETIVO: Identificar los factores de riesgo psicosocial a los cuales se encuentran expuestos los trabajadores de una empresa agrícola y alimenticia ubicada en Chile en el año 2016. MÉTODOS: Se llevó a cabo un estudio de corte transversal con datos secundarios procedentes de 194 trabajadores. Se incluyeron variables socio-demográficas, laborales y las relacionadas con el riesgo psicosocial. Como instrumento se utilizó el cuestionario ISTAS 21, que permite la evaluación y prevención de dicho riesgo, mide las dimensiones de la exposición psicosocial y de la salud, el estrés y la satisfacción. En el análisis descriptivo en las variables cuantitativas se calcularon las medidas de tendencia central media, mediana y medidas de dispersión como rango y desviación estándar. En las cualitativas se calculó la frecuencia absoluta y porcentaje, se utilizó el programa estadístico SPSS versión 22. RESULTADOS: El mínimo de edad fue de 25 y el máximo de 55 años. Los grupos etarios predominantes fueron entre 25-30 años y 36-45 años. Se observó que la mayoría de los miembros de esta organización estuvo conformada por hombres. El nivel alto de riesgo psicosocial percibido por los trabajadores por porcentaje en tres de las cinco dimensiones se registró de la siguiente manera: Trabajo activo y posibilidades de desarrollo (48.5%); apoyo social y calidad de liderazgo (52.0%) y doble presencia (52.6%). Las subdimensiones que más se vieron afectadas por el riesgo alto fueron: influencia en el trabajo (69.4%); control sobre el tiempo de trabajo (53.1%); posibilidades de desarrollo en el trabajo (50.0%); claridad de rol (66.8%); calidad de la relación con superiores (52.6%), compañeros (48.8%) y carga de tareas domésticas (50.0%). CONCLUSIONES: El nivel de riesgo psicosocial percibido por los trabajadores fue de Riesgo Alto en tres de las cinco dimensiones del cuestionario SUSESO ISTAS-21 (dimensión Trabajo activo y posibilidades de desarrollo; apoyo social y calidad de liderazgo y doble presencia). A partir de estos hallazgos se concluye que si hay presencia importante de situaciones desfavorables para la salud mental de los trabajadores y un riesgo psicosocial alto que es necesario enfrentar a través de la implementación de estrategias encaminadas a reducir el riesgo en las subdimensiones que más alto riesgo presentaron.

Chemical control of morning glory species in sugarcane harvested in the dry and semi-wet seabons.

2016