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475 results for “income”
All datasets used for "How Preferential Trade Agreements Affect the Global Income Distribution: A Study of the Global Winners and Losers"
<p>These are all datasets derived from sources in the public domain. Please find below references and links to sources. Refer to websites for conditions of usage.</p> <p>Center for Systemic Peace (2018), ‘Polity5 annual time-series, 1946-2018’. Data retrieved from: https: //www.systemicpeace.org/inscrdata.html [Last accessed: January 4th 2023].</p> <p>Dür, A., Baccini, L. & Elsig, M. (2014), ‘The design of international trade agreements: Introducing a new database’, The Review of International Organizations 9(3), 353–375.</p> <p>United Nations (2020), ‘Human Development Index (HDI)’. Data retrieved from: https://hdr.undp.org/ en/indicators/137506 [Last accessed: January 4th 2023].</p> <p>WID (2022), ‘World Inequality Database’. Data retrieved from: https://wid.world [Last accessed: January 4th 2023].</p> <p>World Bank (2022), ‘World Bank country and lending groups’. Data retrieved from: https://datahelpdesk.worldbank.org/knowledgebase/articles/ 906519-world-bank-country-and-lending-groups [Last accessed: January 4th 2023].</p> <p> </p>
Exploring the effect of industrial agglomeration on income inequality in China
<p><span>Income inequality is a good indicator reflecting the quality of people's livelihood. There are many studies on the determinants of income inequality. However, few have studied the impacts of industrial agglomeration on income inequality, and even fewer have studied the spatial correlation of income inequality. The goal of this paper is to investigate the impact of China's industrial agglomeration on income inequality from a spatial perspective. Using data on China's 31 provinces from 2003 to 2020 and the spatial panel Durbin model, our results show that industrial agglomeration and income inequality present an inverted "U-shape" relationship, proving that they are non-linear changes. As the degree of industrial agglomeration increases, income inequality will rise; after it reaches a certain value, income inequality will drop. Therefore, the Chinese government and enterprises had better pay attention to the spatial distribution of industrial agglomeration, thereby reducing China's regional income inequality.</span></p>
Use of amino acid isotope analysis to investigate capital versus income breeding strategies in migratory avian species
<p>Income and capital breeding represent opposing ends of a continuum of reproductive strategies. Quantifying nutrient allocation to reproduction is challenging, but recent advances in compound-specific stable isotope analysis hold promise for tracing the source of individual compounds allocated to reproduction. </p> <p>Here, we describe a novel approach of using measured carbon (δ<sup>13</sup>C) and nitrogen (δ<sup>15</sup>N) isotope values of individual amino acids (AAs) in pectoral muscle of egg-laying females and egg yolk as a useful tool to quantify the reliance on income versus capital breeding in migrating species. We used white-fronted (<em>Anser albifrons frontalis</em>), lesser snow (<em>A. caerulescens caerulescens</em>), and black brant (<em>Branta bernicla nigricans</em>) geese breeding in tundra ecosystems of northern Alaska as model organisms.</p> <p>All three species relied on mixed capital-income breeding strategies, but models based on AA isotope data estimated higher proportional contributions of endogenous resources to yolk synthesis compared to results based on bulk tissue isotope analyses. </p> <p>Tracing income versus capital nutrient allocation in migratory species at the compound level is a major advance from the current 'elemental' perspective obtained from bulk tissue stable isotope analyses. Our framework is applicable to all taxonomic groups, as long as there is a sufficient spatial or temporal isotopic gradient between resources obtained during the breeding and non-breeding periods.</p>
Replication package for "Skill heterogeneity and market labour income inequality"
<p>Medrano-Adan, L., Salas-Fumás, V. and Sánchez-Asín, J. (2023) “Skill heterogeneity and market labour income inequality”. <em>SERIEs-Journal of the Spanish Economic Association</em>.</p>
Strategies and interventions to strengthen pharmacovigilance systems in low- and middle-income countries: A scoping review
<div><strong>Objectives</strong></div> <div>The slow progress of pharmacovigilance (PV) in low-and-middle-income countries (LMIC) raises questions about core challenges on the growth of PV, and the appropriateness of strategies used so far to develop PV. Therefore, this scoping review aims to describe strategies and interventions to strengthen PV in LMIC and to propose recommendations for future investments in PV capacity building.</div> <div> </div> <div><strong>Inclusion criteria</strong></div> <div>Publications included were primary studies, articles, and policy and guideline papers, describing interventions to strengthen PV in LMIC. </div> <div> </div> <div><strong>Methods</strong></div> <div>The review was conducted following the Joanna Briggs Institute (JBI) guidelines on conducting scoping reviews. Literature searches were performed in MEDLINE, EMBASE, Web of Science, PDQ-evidence, CINAHL and relevant websites from 1990 to January 2021. Two reviewers independently screened titles, abstracts and full-texts. One reviewer performed data extraction and descriptive analysis, which were reviewed by two other reviewers.</div> <div> </div> <div><strong>Results</strong></div> <div>10,922 unique titles were screened and 152 were eligible for full text review. Of these, 57 and an additional 13 reports from grey literature fulfilled eligibility criteria for inclusion in the review. These were grouped into two categories: i) Interventions aimed at increasing PV knowledge and adverse drug reactions (ADR) reporting (45 papers), primarily education of healthcare professionals (HCP), alone or in combination with other interventions such as mobile and electronic reporting; ii) Interventions aimed at strengthening various components of the national PV system (25 papers), describing strategies or mixed interventions implemented at the national level, targeting different components of the national PV system.</div> <div> </div> <div><strong>Conclusions</strong></div> <div>Results of this review suggest that educating HCP on ADR reporting is the most common approach to build PV capacity in LMIC. Though important, education alone is insufficient and should ideally be organised within the holistic framework of strengthening national PV systems, with a focus on building capacity for advanced activities such as signal detection.</div>
Incentives Targeting Gestational Weight Gain in Overweight/Obese Low Income Women
ClinicalTrials.gov study NCT02233673. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Enhancing Safe Sleep Practices of Urban Low-Income Mothers
ClinicalTrials.gov study NCT03070639. IPD Sharing: NO. Countries: 1. Publications: 2.
Preventing Fetal Body and Brain Size Reduction in Low-income Smoking Mothers: A Randomized Clinical Trial
ClinicalTrials.gov study NCT01248260. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A School-based Gardening Obesity Intervention for Low-income Minority Children
ClinicalTrials.gov study NCT02668744. IPD Sharing: NO. Countries: 1. Publications: 10.
Park Rx and Physical Activity Among Low-income Children
ClinicalTrials.gov study NCT04114734. IPD Sharing: YES. Countries: 1. Publications: 3.
PRACT to Investigate Controlling Alcohol Related Harms in a Low-Income Setting; Emergency Department BIs in Tanzania
ClinicalTrials.gov study NCT04535011. IPD Sharing: NO. Countries: 1. Publications: 3.
Nutrition Education for Low-Income Healthy Participants Who Eat an Unhealthy Diet
ClinicalTrials.gov study NCT00301691. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Expanding the UTHealth Medical Legal Partnership to Improve Mental Health for Low-Income Individuals
ClinicalTrials.gov study NCT03805126. IPD Sharing: NO. Countries: 1. Publications: 1.
Development of a Robust and Reliable Pulse Oximeter for Children With Pneumonia in Low-income Countries
ClinicalTrials.gov study NCT02941237. IPD Sharing: NO. Countries: 3. Publications: 10.
E-MhGAP Intervention Guide in Low- and Middle-income Countries: Proof-of-concept for Impact and Acceptability
ClinicalTrials.gov study NCT04522453. IPD Sharing: YES. Countries: 2. Publications: 2.
Effectiveness of Case Management Versus Case Management Plus Problem-solving Therapy to Treat Depression in Low-income Elders
ClinicalTrials.gov study NCT00540865. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Development, Field Testing and Evaluation of the Efficacy of a Hand-held, Portable and Affordable Thermo-coagulator to Prevent Cervical Cancer in Low- and Middle-income Countries
ClinicalTrials.gov study NCT02956239. IPD Sharing: YES. Countries: 1. Publications: 3.
Cockroach Allergen Reduction by Extermination Alone in Low-Income, Urban Homes: A Randomized Control Trial
ClinicalTrials.gov study NCT00341445. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Bridging Income Generation With Group Integrated Care
ClinicalTrials.gov study NCT02501746. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Preventing Drug Use in Low Income Clinic Populations
ClinicalTrials.gov study NCT01942876. IPD Sharing: Not stated. Countries: 1. Publications: 3.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.