Overview of the model parameters and sources for the primary analyses. Tekijä Caroline Mburu (10186431)

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Deidentified in-depth interview transcripts. Tekijä Haley Adrian (22386189)

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2a shows the age-specific serology data in children grouped into <9m (ineligible for vaccination), 9m- < 1year (eligible for MCV1),1- < 2 years (eligible for MCV2), 2–4 years (elig... Tekijä Caroline Mburu (10186431)

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Summary of themes, sub-themes, and representative quotes identified from in-depth interview among MSM participants, coastal Kenya. Tekijä Haley Adrian (22386189)

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Estimated seroconversion profiles from the projection scenarios on increased MCV1 and MCV2 coverage. Tekijä Caroline Mburu (10186431)

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Characteristics of index participants (n = 27). Tekijä Haley Adrian (22386189)

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Characteristics of Recent Sexual Partners (N = 109) identified by Index Participants (n = 27). Tekijä Haley Adrian (22386189)

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1a shows a static cohort model of measles immunity. Tekijä Caroline Mburu (10186431)

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The building data model extended with the information obtained energy performance certificates. Tekijä Suleyman Sisman (16914819)

Aiheet: “…energy performance certificates…”

Table 1_Life-history strategy, adverse environment, and justification of life-ending decisions.docx Tekijä Shaolingyun Guo (9176975)

“…Furthermore, results from both studies demonstrated that the relationship between life-history strategy and the justification of life-ending decisions was moderated by current environmental adversity.…”

Table 2_Life-history strategy, adverse environment, and justification of life-ending decisions.docx Tekijä Shaolingyun Guo (9176975)

“…Furthermore, results from both studies demonstrated that the relationship between life-history strategy and the justification of life-ending decisions was moderated by current environmental adversity.…”

Disease detection and solution providing. Tekijä Nadim Nawshad (22208986)

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Plant details features. Tekijä Nadim Nawshad (22208986)

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DL pipeline for plant disease detection, from initial leaf image acquisition to the final classification of the leaf’s health status. Tekijä Nadim Nawshad (22208986)

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Classification outcomes for plant leaf diseases, actual conditions with predicted labels and associated confidence scores. Tekijä Nadim Nawshad (22208986)

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Live sensor data. Tekijä Nadim Nawshad (22208986)

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Flowchart for image-based disease prediction process. Tekijä Nadim Nawshad (22208986)

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Dataset sample for disease detection. Tekijä Nadim Nawshad (22208986)

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Cost estimation of current study. Tekijä Nadim Nawshad (22208986)

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Block diagram of the system. Tekijä Nadim Nawshad (22208986)

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