The true cost of using traditional fuels in a humanitarian setting. Case study of the Nyarugusu refugee camp, Kigoma region, Tanzania

Over the past two decades, the global number of forcibly displaced people has doubled, reaching 65.6 million in 2017. Reducing energy poverty has been identified as a priority on the international agenda since September 2015, when the UN adopted seventeen Sustainable Development Goals including Goal 7 which seeks to ‘ensure access to affordable, reliable, sustainable and modern energy for all by 2030’. However, recent research sheds light on the magnitude of energy poverty in humanitarian settings. In Sub-Saharan Africa, as much as 85% of the refugee population living in camps lack access to enough energy to cover their basic needs for cooking, heating and lighting. The inefficient use of energy by displaced people emitted 14.3 million tonnes of Carbon Dioxide (tCO2) in 2014, globally. The topic of humanitarian energy entails three aspects: the energy services (e.g. lighting, cooking or heating), the sources (solar, LPG, kerosene) and the products (solar panels, cookstoves, electricity grids) (RSC, 2017) (Gunning, 2014). Within this field, the provision of energy for cooking is a crucial dimension for many reasons. Firstly, because the food distributed by the World Food Program needs to be cooked, access to fuel underpins food security. Secondly, as many as 3.9 million people die every year from respiratory diseases associated with Household Air Pollution from cooking with solid fuels (Smith, 2014), which makes it the second most important environmental health risk factor after childhood malnourishment in Sub-Saharan Africa in terms of years due to ill-heath (DALY) (Lim et al., 2012). This recognition even led to the creation of the UN-funded Global Alliance for Clean Cookstoves (GACC) in 2010. Finally, the encampment policy in Tanzania inevitably constrains firewood collection to small geographical areas, which often generates competition for resources and conflicts with the local communities

The State of Meat Production in Developing Countries: 2002

Two organizations—one dedicated to the elimination of animal suffering and the other to encouraging sustainable agriculture and rural development— have joined forces to address animal welfare issues in the global livestock industry. The mission of The Humane Society of the United States (HSUS) and its international arm, Humane Society International (HSI), is to create a humane and sustainable world for all animals, including people, through education, advocacy, and the promotion of respect and compassion. The Food and Agriculture Organization (FAO) of the United Nations has as a specific priority to increase food production and food security while conserving and managing natural resources. The aim is to meet the needs of both present and future generations by promoting development that does not degrade the environment and is technically appropriate, economically viable, and socially acceptable

Demographic Inference and Representative Population Estimates from Multilingual Social Media Data

Social media provide access to behavioural data at an unprecedented scale and granularity. However, using these data to understand phenomena in a broader population is difficult due to their non-representativeness and the bias of statistical inference tools towards dominant languages and groups. While demographic attribute inference could be used to mitigate such bias, current techniques are almost entirely monolingual and fail to work in a global environment. We address these challenges by combining multilingual demographic inference with post-stratification to create a more representative population sample. To learn demographic attributes, we create a new multimodal deep neural architecture for joint classification of age, gender, and organization-status of social media users that operates in 32 languages. This method substantially outperforms current state of the art while also reducing algorithmic bias. To correct for sampling biases, we propose fully interpretable multilevel regression methods that estimate inclusion probabilities from inferred joint population counts and ground-truth population counts. In a large experiment over multilingual heterogeneous European regions, we show that our demographic inference and bias correction together allow for more accurate estimates of populations and make a significant step towards representative social sensing in downstream applications with multilingual social media.Comment: 12 pages, 10 figures, Proceedings of the 2019 World Wide Web Conference (WWW '19

Dendritic Cells Reveal a Broad Range of MHC Class I Epitopes for HIV-1 in Persons with Suppressed Viral Load on Antiretroviral Therapy

Background: HIV-1 remains sequestered during antiretroviral therapy (ART) and can resume high-level replication upon cessation of ART or development of drug resistance. Reactivity of memory CD8+ T lymphocytes to HIV-1 could potentially inhibit this residual viral replication, but is largely muted by ART in relation to suppression of viral antigen burden. Dendritic cells (DC) are important for MHC class I processing and presentation of peptide epitopes to memory CD8+ T cells, and could potentially be targeted to activate memory CD8+ T cells to a broad array of HIV-1 epitopes during ART. Principal Findings: We show for the first time that HIV-1 peptide-loaded, CD40L-matured DC from HIV-1 infected persons on ART induce IFN gamma production by CD8+ T cells specific for a much broader range and magnitude of Gag and Nef epitopes than do peptides without DC. The DC also reveal novel, MHC class I restricted, Gag and Nef epitopes that are able to induce polyfunctional T cells producing various combinations of IFN gamma, interleukin 2, tumor necrosis factor alpha, macrophage inhibitory protein 1 beta and the cytotoxic de-granulation molecule CD107a. Significance: There is an underlying, broad antigenic spectrum of anti-HIV-1, memory CD8+ T cell reactivity in persons on ART that is revealed by DC. This supports the use of DC-based immunotherapy for HIV-1 infection. © 2010 Huang et al

Coping with Viral Diversity in HIV Vaccine Design

The ability of human immunodeficiency virus type 1 (HIV-1) to develop high levels of genetic diversity, and thereby acquire mutations to escape immune pressures, contributes to the difficulties in producing a vaccine. Possibly no single HIV-1 sequence can induce sufficiently broad immunity to protect against a wide variety of infectious strains, or block mutational escape pathways available to the virus after infection. The authors describe the generation of HIV-1 immunogens that minimizes the phylogenetic distance of viral strains throughout the known viral population (the center of tree [COT]) and then extend the COT immunogen by addition of a composite sequence that includes high-frequency variable sites preserved in their native contexts. The resulting COT(+) antigens compress the variation found in many independent HIV-1 isolates into lengths suitable for vaccine immunogens. It is possible to capture 62% of the variation found in the Nef protein and 82% of the variation in the Gag protein into immunogens of three gene lengths. The authors put forward immunogen designs that maximize representation of the diverse antigenic features present in a spectrum of HIV-1 strains. These immunogens should elicit immune responses against high-frequency viral strains as well as against most mutant forms of the virus

Recognition of HIV-1 Peptides by Host CTL Is Related to HIV-1 Similarity to Human Proteins

Background: While human immunodeficiency virus type 1 (HIV-1)-specific cytotoxic T lymphocytes preferentially target specific regions of the viral proteome, HIV-1 features that contribute to immune recognition are not well understood. One hypothesis is that similarities between HIV and human proteins influence the host immune response, i.e., resemblance between viral and host peptides could preclude reactivity against certain HIV epitopes. Methodology/Principal Findings: We analyzed the extent of similarity between HIV-1 and the human proteome. Proteins from the HIV-1 B consensus sequence from 2001 were dissected into overlapping k-mers, which were then probed against a non-redundant database of the human proteome in order to identify segments of high similarity. We tested the relationship between HIV-1 similarity to host encoded peptides and immune recognition in HIV-infected individuals, and found that HIV immunogenicity could be partially modulated by the sequence similarity to the host proteome. ELISpot responses to peptides spanning the entire viral proteome evaluated in 314 individuals showed a trend indicating an inverse relationship between the similarity to the host proteome and the frequency of recognition. In addition, analysis of responses by a group of 30 HIV-infected individuals against 944 overlapping peptides representing a broad range of individual HIV-1B Nef variants, affirmed that the degree of similarity to the host was significantly lower for peptides with reactive epitopes than for those that were not recognized. Conclusions/Significance: Our results suggest that antigenic motifs that are scarcely represented in human proteins might represent more immunogenic CTL targets not selected against in the host. This observation could provide guidance in the design of more effective HIV immunogens, as sequences devoid of host-like features might afford superior immune reactivity