Background: Anemia is a severe public health problem affecting more than half of children under five years of age in low-, middle- and high-income countries. We aimed to determine the prevalence and factors associated with anemia among children under five years of age in northern Tanzania. Methods: This was a community-based cross-sectional study conducted in Rombo district, Kilimanjaro region, no

Benthic nitrogen fixation has been estimated to contribute 15 Tg N year(-1) to the marine nitrogen budget. With benthic marine nitrogen fixation being largely overlooked in more recent surveys, a refocus on benthic diazotrophy was considered important. Variations in nitrogenase activity (acetylene reduction-gas chromatography) in a tropical lagoon in the western Indian Ocean (Zanzibar, Tanzania) w

We took a two-tiered approach to test monophyly of Nelsonioideae and place the group within Lamiales, and to determine relationships among taxa within the group. Phylogenetic analysis of a molecular dataset (ndhF + trnL-F) for a broad sample of Lamiales supports monophyly of Nelsonioideae and places the clade with strong support as sister to a lineage composed of all other plants treated as Acanth

Based on nucleotide sequences from three chloroplast DNA regions (rps16, rpl16, trnT-trnL), we infer detailed phylogenetic relationships within the subfamily Thunbergioideae (Acanthaceae) and among major lineages of the family as a whole. Taxa were sampled to cover the geographic distribution of Thunbergioideae and to include all subgenera of the largest genus Thunbergia. All other major lineages

In a few recent papers we introduced the chirality-flow formalism, which was shown to make calculations of tree-level Feynman diagrams simple and transparent. Chirality flow, which is based on the spinor-helicity formalism, allows to often immediately analytically write down a tree-level Feynman diagram in terms of spinor inner products. In this paper, we argue that there is also a significant sim

Phylogenetic relationships of Avicennia have been difficult to trace because of the presence of convergent characters related to the mangrove environment. Recent molecular data suggest a close relationship to Thunbergioideae, a subfamily within Acanthaceae (Lamiales), but morphological support for the new findings has been equivocal. Floral structure and development are comparatively studied here

This paper contributes to the understanding of power structures in civil society by the exploring organizational connections of leaders holding multiple top-level leadership positions in resource-rich civil society organizations (CSOs) in Sweden. Based on unique association network data among national level CSOs collected in 2018, we discuss possible explanations behind the observed clusters of or

Human error is cited over and over as a cause of incidents and accidents. The result is a widespread perception of a 'human error problem', and solutions are thought to lie in changing the people or their role in the system. For example, we should reduce the human role with more automation, or regiment human behavior by stricter monitoring, rules or procedures. But in practice, things have proved

The legal empowerment approach is a recent attempt to be specific about the role of institutions for the eradication of poverty. This is a broad concept that includes not only the national formal judicial system in a country, but all formal and informal institutional structures providing the rules of the game of human interaction in any given society. The approach has invited a lot of debate as to

Despite incredible progress in cancer treatment, therapy resistance remains the leading limiting factor for long-term survival. During drug treatment, several genes are transcriptionally upregulated to mediate drug tolerance. Using highly variable genes and pharmacogenomic data for acute myeloid leukemia (AML), we developed a drug sensitivity prediction model for the receptor tyrosine kinase inhib

Artificial intelligence (AI) has been used to develop drug sensitivity prediction models, raising the opportunity of using it for personalized cancer medicine. This chapter describes recent advancements in drug response prediction methods using machine learning algorithms. Pharmacogenomic datasets come with different types of biological data including genetic mutations, gene expression, copy numbe