Software implementations of traditional engineering design methods can potentially enrich the original methods. A study was conducted to better understand how concept generation can be facilitated using software. Participants of the study were asked to generate concepts using either specialized software, or by using traditional means, for applying function-means modeling and morphological matrices. A concept concretization metric was used to evaluate the results, which indicated that there are both positive and negative aspects of performing concept generation using specialized software.

Until the past half-century, all agriculture and land management was framed by local institutions strong in social capital. But neoliberal forms of development came to undermine existing structures, thus reducing sustainability and equity. The past 20 years, though, have seen the deliberate establishment of more than 8 million new social groups across the world. This restructuring and growth of rural social capital within specific territories is leading to increased productivity of agricultural and land management systems, with particular benefits for those previously excluded. Further growth would occur with more national and regional policy support.

Thanks to the remarkable ALMA capabilities and the unique configuration of the Cosmic Snake galaxy behind a massive galaxy cluster, we could resolve molecular clouds down to 30 pc linear physical scales in a typical Milky Way progenitor at z = 1.036, through CO(4–3) observations performed at the ∼ 0.2″ angular resolution. We identified 17 individual giant molecular clouds. These high-redshift molecular clouds are clearly different from their local analogues, with 10–100 times higher masses, densities, and internal turbulence. They are offset from the Larson scaling relations. We argue that the molecular cloud physical properties are dependent on the ambient interstellar conditions particular to the host galaxy. We find these high-redshift clouds in virial equilibrium, and derive, for the first time, the CO-to-H2 conversion factor from the kinematics of independent molecular clouds at z = 1. The measured large clouds gas masses demonstrate the existence of parent gas clouds with masses high enough to allow the in-situ formation of similarly massive stellar clumps seen in the Cosmic Snake galaxy in comparable numbers. Our results support the formation of molecular clouds by fragmentation of turbulent galactic gas disks, which then become the stellar clumps observed in distant galaxies.

It has become clear that disaster relief needs to transition from good intentions or a charity-based approach to a professional, outcome-oriented response. The practice of medicine in disaster and conflict is a profession practiced in environments where lack of resources, chaos, and unpredictability are the norm rather than the exception. With this consideration in mind, the World Health Organization (WHO; Geneva, Switzerland) and its partners set out to improve the disaster response systems. The resulting Emergency Medical Team (EMT) classification system requires that teams planning on engaging in disaster response follow common standards for the delivery of care in resource-constraint environments. In order to clarify these standards, the WHO EMT Secretariat collaborated with the International Committee of the Red Cross (ICRC; Geneva, Switzerland) and leading experts from other stakeholder non-governmental organizations (NGOs) to produce a guide to the management of limb injuries in disaster and conflict.

The resulting text is a free and open-access resource to provide guidance for national and international EMTs caring for patients in disasters and conflicts. The content is a result of expert consensus, literature review, and an iterative process designed to encourage debate and resolution of existing open questions within the field of disaster and conflict medical response.

The end result of this process is a text providing guidance to providers seeking to deliver safe, effective care within the EMT framework that is now part of the EMT training and verification system and is being distributed to ICRC teams deploying to the field.

This work seeks to encourage professionalization of the field of disaster and conflict response, and to contribute to the existing EMT framework, in order to provide for better care for future victims of disaster and conflict.

Jensen G, Bar-On E, Wiedler JT, Hautz SC, Veen H, Kay AR, Norton I, Gosselin RA, von Schreeb J. Improving management of limb injuries in disasters and conflicts. Prehosp Disaster Med. 2019;34(3):330–334.

We introduce CRYSTAL, a multi-agent AI system for crystal-structure phase mapping. CRYSTAL is the first system that can automatically generate a portfolio of physically meaningful phase diagrams for expert-user exploration and selection. CRYSTAL outperforms previous methods to solve the example Pd-Rh-Ta phase diagram, enabling the discovery of a mixed-intermetallic methanol oxidation electrocatalyst. The integration of multiple data-knowledge sources and learning and reasoning algorithms, combined with the exploitation of problem decompositions, relaxations, and parallelism, empowers AI to supersede human scientific data interpretation capabilities and enable otherwise inaccessible scientific discovery in materials science and beyond.