Mapping solar irradiance within Schrödinger Basin for future robotic sample return missions

The US National Research Council (NRC) identified eight scientific concepts and thirty-five prioritized investigations to be addressed with continued lunar exploration. These objectives are broadly consistent with those identified throughout the international community. the majority of these objectives require sample return from the Moon. Schrödinger basin has been highlighted as a particularly attractive location to find suitable samples

Introduction to Women Against Fundamentalism: Stories of Dissent and Solidarity

Th is book celebrates – while also acknowledging the huge challenges it faces – a particular kind of feminism, one that has been concerned with challenging both fundamentalism and racism. It consists of the autobiographical political narratives of feminist activists of diff erent ethnic and religious backgrounds who have been members of Women Against Fundamentalism (WAF), a feminist anti-racist and antifundamentalist organisation that was established in London in 1989, at the heart of the Salman Rushdie aff air. Political narratives have been described as ‘stories people tell about how the world works’, the ways in which they explain the engines of political change, and as refl ections on the role people see themselves and their group playing in their ongoing struggles.1 And the contributors to this book off er just such narratives – they talk about the trajectories of their lives, and how they see themselves and the groups to which they belong in relation to the wider political struggles in which they have been involved. WAF women have shared solidarity and trust, based on common political values, but, as can be seen from the chapters of this book, their perspectives – as well as their personal/ political histories – have also diff ered.2 Th is variety of voices is signifi - cant not only for these women as individuals but also for WAF as a political organisation. In this introduction we highlight what we as editors perceive to be the most important issues for WAF’s activism throughout its history. However, the book has been constructed in such a way that reading all the chapters will itself provide a more pluralistic and contested fl avour of WAF’s politics. Th is introduction outlines the rationale for the book, introduces WAF and its political context, explains the book’s theoretical and methodological framework, and explores some of the themes that have emerged from the activists’ stories

Evaluation and utilization of Aegilops germplasm for biofortification of wheat for high grain iron and zinc content

Contains fulltext : 135415.pdf (publisher's version ) (Closed access)24 p

A Cellular Automata Model for Predicting Crowd Movement during Evacuation

In this article, we will describe a project in which the concept of cellular automata (CA) has been used to develop a simulation model for an evacuation system. A cellular automata is a mathematical tool which can govern complex systems through simple rules. It has applications in traffic flow modeling, structural design, neural networks, forest fires, ant colony activity, crystal growth and in many other fields. Cellular automaton models can be one, two or even three dimensional. They can be generated and explored through simulation and their outputs are very conducive for exploring real life crisis situations

Organizational metrics of interchromatin speckle factor domains: integrative classifier for stem cell adhesion & lineage signaling.

Stem cell fates on biomaterials are influenced by the complex confluence of microenvironmental cues emanating from soluble growth factors, cell-to-cell contacts, and biomaterial properties. Cell-microenvironment interactions influence the cell fate by initiating a series of outside-in signaling events that traverse from the focal adhesions to the nucleus via the cytoskeleton and modulate the sub-nuclear protein organization and gene expression. Here, we report a novel imaging-based framework that highlights the spatial organization of sub-nuclear proteins, specifically the splicing factor SC-35 in the nucleoplasm, as an integrative marker to distinguish between minute differences of stem cell lineage pathways in response to stimulatory soluble factors, surface topologies, and microscale topographies. This framework involves the high resolution image acquisition of SC-35 domains and imaging-based feature extraction to obtain quantitative nuclear metrics in tandem with machine learning approaches to generate a predictive cell state classification model. The acquired SC-35 metrics led to \u3e 90% correct classification of emergent human mesenchymal stem cell (hMSC) phenotypes in populations of hMSCs exposed for merely 3 days to basal, adipogenic, or osteogenic soluble cues, as well as varying levels of dexamethasone-induced alkaline phosphatase (ALP) expression. Early osteogenic cellular responses across a series of surface patterns, fibrous scaffolds, and micropillars were also detected and classified using this imaging-based methodology. Complex cell states resulting from inhibition of RhoGTPase, β-catenin, and FAK could be classified with \u3e 90% sensitivity on the basis of differences in the SC-35 organizational metrics. This indicates that SC-35 organization is sensitively impacted by adhesion-related signaling molecules that regulate osteogenic differentiation. Our results show that diverse microenvironment cues affect different attributes of the SC-35 organizational metrics and lead to distinct emergent organizational patterns. Taken together, these studies demonstrate that the early organization of SC-35 domains could serve as a “fingerprint” of the intracellular mechanotransductive signaling that governs growth factor- and topography-responsive stem cell states