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| http://dx.doi.org/10.3325/cmj.2009.50.83 | DOI Listing |
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Trypanosomosis and Transhumance: Contributions to Contemporary Conflicts Between Farmers and Herdsmen Along the Tsetse Fly Belts: Mathematical Modeling and Systematic Field Analysis Approach.
Acta Biotheor
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Department of Veterinary Parasitology and Entomology, Faculty of Veterinary Medicine, University of Ibadan, Ibadan, Nigeria.
Conflicts within the tsetse fly belt revealed a strong correlation between the dynamics of bovine trypanosomosis and the insurgency involving farmers and herders in Nigeria and parts of West Africa. This study examined the history, causes and influence of farmers-herdsmen conflicts on banditry, terrorism and food security as it relates to the epidemiology of African animal trypanosomosis (AAT). A combination of literature database searches, semi-structured questionnaires, and mathematical modeling was employed.
View Article and Find Full Text PDFInformational rescaling of PCA maps with application to genetic distance.
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IBM, New York, NY, USA.
Principal Component Analysis (PCA) is a powerful multivariate tool allowing the projection of data in low-dimensional representations. Nevertheless, datapoint distances on these low-dimensional projections are challenging to interpret. Here, we propose a computationally simple heuristic to transform a map based on standard PCA (when the variables are asymptotically Gaussian) into an entropy-based map where distances are based on mutual information (MI).
View Article and Find Full Text PDFWeighted Q-learning for optimal dynamic treatment regimes with nonignorable missing covariates.
Biometrics
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MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0SR, United Kingdom.
Dynamic treatment regimes (DTRs) formalize medical decision-making as a sequence of rules for different stages, mapping patient-level information to recommended treatments. In practice, estimating an optimal DTR using observational data from electronic medical record (EMR) databases can be complicated by nonignorable missing covariates resulting from informative monitoring of patients. Since complete case analysis can provide consistent estimation of outcome model parameters under the assumption of outcome-independent missingness, Q-learning is a natural approach to accommodating nonignorable missing covariates.
View Article and Find Full Text PDFControlling of Applied Force and Cornea Displacement Estimation in Robotic Corneal Surgery With a Gripper Surgical Instrument.
Int J Med Robot
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Faculty of Health, Education, Medicine and Social Care, Medical Technology Research Centre, The Institute of Excellence in Robotic Surgery, Anglia Ruskin University, Chelmsford, UK.
Background: The human eye consists of highly sensitive, hydrated, and relatively thin tissues, making precise control and accurate force estimation crucial in robotic eye surgery. This paper introduces a novel control method and state observer designed for a gripper surgical instrument used on the external ocular surface during robotic eye surgery.
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Highly-Efficient Differentiation of Reactive Lymphocytes in Peripheral Blood Using Multi-Object Detection Network With Large Kernels.
Microsc Res Tech
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School of Computer Science, Hubei University of Technology, Wuhan, China.
Reactive lymphocytes are an important type of leukocytes, which are morphologically transformed from lymphocytes. The increase in these cells is usually a sign of certain virus infections, so their detection plays an important role in the fight against diseases. Manual detection of reactive lymphocytes is undoubtedly time-consuming and labor-intensive, requiring a high level of professional knowledge.
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