Turnertimmons7033

Ethiopia is known for having a large portion of its population living under national and international poverty lines. Exclusively the poverty is aggravated being accompanied by a high youth unemployment rate and severe inequality. Thus, these datasets are collected to develop the poverty and unemployment profile of the country with an emphasis on eastern and central regions. Principally the data targeted Addis Ababa the capital city; Dire Dawa city council- eastern province of Ethiopia and Arsi Zone. The datasets contain demographic variables, household details, education, health & nutrition, employment, non-wage income, death profiles, housing detail, asset ownership, household infrastructure, water & sanitation, household monthly expenditure, saving trends, and social engagement. Besides, the dataset encompasses youth-specific core variables such as finance, unemployment, and entrepreneurship variables. In collecting these datasets, enumerators who have experience in digital data collection were involved. Those enumerators equipped with the digital device were provided two days of digital data collection training, involved in a pilot survey, and finally engaged in the actual data collection activity.Adsorption and interaction of pollutant species on surface of the catalyst materials play an important role on the photocatalysis process. Herein, experimental data on the adsorption behavior of 2-chlorophenol (2-CP) onto graphitic pure carbon nitride (C3N4), titania nanotubes (TiO2-NTs) and carbon nitride/titania nanotubes nanocomposite (C3N4/TiO2-NTs) from synthetic wastewater has been summarized. The data on photocatalytic degradation of the 2-CP under both ultraviolet (UV) and visible light irradiation is also presented. This work also evaluates the 2-CP scavenging efficiency of C3N4/TiO2-NTs nanocomposite prepared by calcination of 2 wt.% melamine with TiO2-NTs at 450 °C. The adsorption and photocatalysis experiments were conducted for 180 min at pH 7 with 100 mL solution of 2-CP (40 mg/L) and 0.05 g catalyst material. The acquired data can be valuable to identify the equilibrium time for 2-CP adsorption onto C3N4, TiO2-NTs, and C3N4/TiO2-NTs nanocomposite. Moreover, the obtained data can be useful to identify the suitable light source for the decomposition of 2-CP in the aquatic environment. The evaluated kinetic data might be significant for identifying the adsorption and photocatalysis reaction rate onto the applied catalyst materials. The obtained adsorption and photocatalysis data have been compared with that in literature to identify the adsorption and photocatalysis behavior of 2-CP on numerous catalysts at different experimental conditions.Next-generation sequences (NGS) dataset of nanobody (Nb) clones in a phage display library (PDL) is of immense value as it serves in many different ways, such as i). estimating the library size, ii). improving selection and identification of Nbs, iii). informing about frequency of V gene families, diversity and length of CDRs, iv). high resolution analysis of natural and synthetic libraries, etc. [1], [2], [3]. We used a fraction of our previously constructed PDL of Nbs derived from an E. coli lipopolysaccharide-immunized Indian desert camel in order to obtain the dataset of NGS reads of Nbs. The cryo-preserved transformants library was revived to extract the Nb-encoding VHH (inserts)-pHEN4 (vector) DNA pool. The DNA sample was used for amplifying VHH pool by PCR [6]. The VHH amplicons band was gel-purified and subjected to NGS using Illumina MiSeqTM platform. 'Nextra XT micro V2 Index' kit was used for the Nb library DNA sample sequencing, with the adaptors 'i7' (N706 TAGGCATG) and 'i5' (S517 GCGTAAGA). The omplete and lacked CDR3. Despite lacking the depth, the NGS data is a useful guide for selection of antigen-specific Nbs from the library, as demonstrated by anti-T. evansi VSG Nbs, and provides templates for Nb-based diagnostic reagents and therapeutic agents.This article introduces a dataset comprising a portfolio of six projects each having a baseline consisting of a budget derived from a standardized first-principles, bottom-up estimation technique. The projects utilize a homogeneous set of resources, both consumable and non-consumable, which are inter-related in a highly complex, multi-dimensional manner with appropriate correlation between quantity, productivity rates and cost rates. The dataset also includes detailed time-phased actual costs and progress over the life of each project as well as the time-phased values of revenue claimed for each project. The collection and attribution of 12,139 actual costs and the measurement of progress over a period of just under 109 consecutive weeks is consistent and standardized across all six projects providing a unique differentiator to other datasets. The data is valid for research in portfolio, program, or project (PPP) management or control of multiple resource-constrained projects, where projects are managed collectively, generally in a standardized manner to support a strategic business aim.Participatory quantitative Health Impact Assessments (HIAs) in developing countries are rare partly due to data scarcity. This paper reports on primary data collected in the city of Port Louis to complete a HIA of urban transport planning in Mauritius. We conducted a full-chain participatory HIA to assess health impacts on the basis of a transport mode shift in Port Louis, Mauritius [1]. By applying mixed-methods, we estimated averted deaths per year and economic outcomes by assessing the health determinants of air pollution, traffic deaths and physical activity. The participatory quantitative HIA included [1] baseline data collection [2] co-validation of transport policy scenarios with stakeholders and [3] quantitative modelling of health impacts. Decitabine We used the risk assessment method for HIA appraisal. The data can be reused for epidemiological analysis and different types of impact assessments.Due to the increasing prevalence of obesity and its negative consequences worldwide on public health, body composition analysis is a central pillar to assess the nutritional status. Scientists could use datasets to develop a new body fat measurement formula. Using bioelectrical impedance analysis, we analyzed the total body composition of 345 patients (234 men and 111 women) aged between 18 and 60 years residing in the metropolitan area of Barranquilla, Colombia. They have the potential for predictive formula analysis enhancing the cooperation among scientists. Due to the obesity pandemic, new datasets from other populations are needed to develop a body fat basic mathematical equation formula that could be used worldwide to determine the prevalence of overweight and obesity in a specific population group predisposed to develop metabolic syndrome or death, secondary to high cardiovascular risk.