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Non-governmental organizations (NGOs) often implement overseas development aid through intensive small-scale animal agriculture to alleviate food insecurity in low- and middle-income countries. Intensive animal farming can pose unclear outcomes to households engaged in the practice because of the reliance on industrial animal breeds that are reared with antibiotics and raised in higher densities compared to traditional scavenging husbandry systems. As a result, intensive small-scale farming operations that lack proper infrastructure, training, and financial resources could facilitate the spread of antimicrobial resistance and infectious diseases. We applied a mixed-methods framework towards analyzing the effectiveness of small-scale broiler chicken farming in northern Ecuador. First, from May 2016 - May 2017, our observational surveys indicated that intensive small-scale poultry farming follows a boom-and-bust cycle that is extremely vulnerable to environmental stressors. Second, in May 2016, we followed a cohort of households enrolled in a poultry development project led by an NGO. We observed a substantial decline in chicken survivorship from Survey period 1 to 2 (mean chicken count decrease from 50 to 35 corresponding to a 70% survivorship) and from Survey period 2 to 3 (mean chicken count decrease from 35 to 20.3 corresponding to a 58% survivorship). Heads of households were self-reporting broiler chicken survivorship substantially higher than our recorded observations during survey period two (46 compared to 35 respectively) and three (44.3 compared to 20.3 respectively). We speculate that if households continue to inaccurately report poultry demographics, then it could perpetuate a negative feedback loop where NGOs continue to conduct the same intervention practices without receiving accurate outcome metrics. Third, we used semi-structured questionnaires to determine that access to financial resources was the major motivation for determining when to farm broiler chickens. Intensive small-scale poultry farming can be unreliable and disease-enhancing, yet also associated with dubious self-reports of success.
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http://dx.doi.org/10.1016/j.onehlt.2021.100296 | DOI Listing |
J Hazard Mater
August 2025
University of Vienna, Department of Pharmaceutical Sciences, Josef-Holaubek-Platz 2, Vienna 1090, Austria. Electronic address:
Understanding the environmental and human health impacts of micro- and nanoplastic pollutants is currently a high priority, stimulating intensive methodological research work in the areas of sampling, sample preparation and detection as well as intensive monitoring and testing. It is challenging to identify and quantify microplastics in complex organic matrices and concepts for nanoplastic detection are still in their infancy. All analytical techniques employed in studying micro- and nanoplastics require suitable reference materials for validation measurements, with requirements as diverse as the analytical tools used, ranging from different polymer types, size distributions and shapes of the material to the concentrations employed in different experimental set ups (ng to g amounts).
View Article and Find Full Text PDFSci Rep
August 2025
Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91052, Erlangen, Germany.
We investigate the use of quantum computing algorithms on real quantum hardware to tackle the computationally intensive task of feature selection for light-weight medical image datasets. Feature selection is often formulated as a k of n selection problem, where the complexity grows binomially with increasing k and n. Quantum computers, particularly quantum annealers, are well-suited for such problems, which may offer advantages under certain problem formulations.
View Article and Find Full Text PDFJ Trauma Acute Care Surg
August 2025
From the LAU Gilbert and Rose-Marie Chagoury School of Medicine (A.S., S.T., K.S., M.H., V.Y.K., R.B., S.S., J.B., K.Y., R.C., T.C.), Lebanese American University, Byblos; and Department of Internal Medicine (Z.A.A., T.C.), Department of Ophthalmology (K.S., J.B.), Department of Emergency Medicine (
Background: On September 17, 2024, multiple small-scale explosions caused by pager devices occurred across Lebanon, resulting in numerous casualties. This study aims to characterize the injury patterns, surgical interventions, and hospitalization needs following this unprecedented event.
Methods: This case series included patients admitted to a tertiary care medical center in Lebanon following the explosions.
IEEE J Transl Eng Health Med
July 2025
Biomedical Information Processing Laboratory, École de Technologie SupérieureUniversity of Quebec Quebec City QC G1K 9H6 Canada.
Transformer-based models have shown outstanding results in natural language processing but face challenges in applications like classifying small-scale clinical texts, especially with constrained computational resources. This study presents a customized Mixture of Expert (MoE) Transformer models for classifying small-scale French clinical texts at CHU Sainte-Justine Hospital. The MoE-Transformer addresses the dual challenges of effective training with limited data and low-resource computation suitable for in-house hospital use.
View Article and Find Full Text PDFBehav Sci (Basel)
July 2025
School of Foreign Languages, Huazhong University of Science and Technology, Wuhan 430074, China.
This study examines how Chinese EFL learners behave in peer interactions by negotiating meaning through communication strategies. This is a small-scale study with both quantitative and qualitative analysis. Sixteen Chinese EFL students and one native English teacher were observed in an intensive English program.
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