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Phylogenetic placement, delimitation, and relationships among genera of the enigmatic Nelsonioideae (Lamiales: Acanthaceae)
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
Molecular phylogenetics and morphological evolution of Thunbergioideae (Acanthaceae)
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
One-loop calculations in the chirality-flow formalism
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
Comparative floral development and structure of the black mangrove genus avicennia L. and related taxa in the acanthaceae
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
Evolutionary relationships in Thunbergioideae and other early branching lineages of Acanthaceae
Leader interlocks in Swedish civil society organizations – a network analysis
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
Behind Human Error
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
Bert Edström, Master Spy on a Mission : The Untold Story of Onodera Makoto and Swedish Intelligence 1941–1945
The Right To Water : An Inquiry into Legal Empowerment and Property Rights Formation in Tanzania1
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
A Receptor Tyrosine Kinase Inhibitor Sensitivity Prediction Model Identifies AXL Dependency in Leukemia
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
AI-Driven Drug Response Prediction for Personalized Cancer Medicine
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
Facilitators and barriers impacting in-hospital Trauma Quality Improvement Program (TQIP) implementation across country income levels a scoping review
OBJECTIVE: Trauma is a leading cause of mortality and morbidity globally, disproportionately affecting low/middle-income countries (LMICs). Understanding the factors determining implementation success for in-hospital Trauma Quality Improvement Programs (TQIPs) is critical to reducing the global trauma burden. We synthesised topical literature to identify key facilitators and barriers to in-hospita
Arbetsdomstolen måste begära fler förhandsavgöranden från EU-domstolen
COVID-19 as a Game Changer for the Digitalisation of Social Work
Gender Equality, Children’s Rights and Sustainable Development
Environmental Peacebuilding and the UN Security Council
Short and long-range cyclic patterns in flows of DNA solutions in microfluidic obstacle arrays
We observe regular patterns emerging across multiple length scales with high-concentration DNA solutions in microfluidic pillar arrays at low Reynolds numbers and high Deborah numbers. Interacting vortices between pillars lead to long-range order in the form of large travelling waves consisting of DNA at high concentration and extension. Waves are formed in quadratic arrays of pillars, while rando