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Two new species of Torodorinae: Caveana plenalinea Park, sp. nov. and Antiochtha hemitatos Park, sp. nov., are described from Laos. At the same time, three species of the genus Torodora are reported for the first time from Laos.

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AbstractThe tropical forests of the Congo Basin and Gulf of Guinea harbor some of the greatest terrestrial and aquatic biological diversity in the world. However, our knowledge of the rich biological diversity of this region and the evolutionary processes that have shaped it remains limited, as is our understanding of the capacity for species to adapt or otherwise respond to current and projected environmental change. In this regard, research efforts are needed to increase current scientific knowledge of this region's biodiversity, identify the drivers of past diversification, evaluate the potential for species to adapt to environmental change and identify key populations for future conservation. Moreover, when evolutionary research is combined with ongoing environmental monitoring efforts, it can also provide an important set of tools for assessing and mitigating the impacts of development activities. Building on a set of recommendations developed at an international workshop held in Gabon in 2011, we highlight major areas for future evolutionary research that could be directly tied to conservation priorities for the region. These research priorities are centered around five disciplinary themes: (1) documenting and discovering biodiversity; (2) identifying drivers of evolutionary diversification; (3) monitoring environmental change; (4) understanding community and ecosystem level processes; (5) investigating the ecology and epidemiology of disease from an evolutionary perspective (evolutionary epidemiology). Furthermore, we also provide an overview of the needs and priorities for biodiversity education and training in Central Africa.

Abstract While Germany and Japan are going through major energy reforms, natural gas consumption is taking a growing share in their energy supply. This paper adopts a Machine Learning approach to assess the causal link between natural gas consumption and economic growth for both economies. A Causal Direction from Dependency (D2C) algorithm with the interconnection of the sub-class is employed using yearly data from 1970 to 2018. The interconnections of the sub-classes are found for both economies, indicating evidence of causalities operating in both directions. In addition, the propagation over the seven eras is linear and homogeneously continue for Japan, while this effect meets a stabilization phase in the fifth era for Germany. The empirical findings claim strong support for the existence of a bidirectional causality between these variables in Germany and Japan, which is in line with the “feedback hypothesis”. Although the strength of this bidirectional relationship is clear for both economies, its time-propagation is expected to be longer for Japan. Accordingly, this study claims that the gas supply should be further strengthened to progressively replace the most polluting fuels (oil and coal) and ensure a feasible transition towards a renewable path.

Magnetodynamic wireless power transfer (WPT), also known as electrodynamic wireless power transfer, is a low-frequency WPT technology based on an electromechanical receiver comprising a permanent magnet moving in a coil. Because of the low-frequency field, this technology is safe around humans and enables transfer through conductive media. In this paper, we focus on the design and the optimization of the power receiver with advanced modelling methods. Two operating modes, namely a continuously rotating mode and a resonant mode, targeting high-power-density and mid-range power transfer respectively, are investigated and compared to previous versions. The fabricated 25-cm3 receiver presents substantial improvements in terms of transferred power (3.3W) and power density (x7) compared to previous receivers in the same conditions of fields.

This repository contains the scripts and own generated data developed for the article: Miranda Xicotencatl, B., Kleijn, R., van Nielen, S., Donati, F., Sprecher, B., & Tukker, A. (2023). Data implementation matters: Effect of software choice and LCI database evolution on a comparative LCA study of permanent magnets. Journal of Industrial Ecology, 27(5), 1252–1265. https://doi.org/10.1111/jiec.13410 The data folder contains the characterized results of three alternatives for the production of rare earth magnets (REMs), calculated with several versions of the ecoinvent database (v2.2 and cut-off v3.1 to v3.6), their life cycle inventories, the foreground data to reproduce their product system models and the data plotted in Figures 3, 4 and 5 of the related article. The file with the Data Underlying the Figures in the Main Article is: `dataPlottedInFig_3_4_and_5.xlsx`. The document BWimport in the repository guides the user through the interaction with the custom scripts necessary to reproduce the results of this research. It is available as a PDF and as an interactive Jupyter notebook (IPYNB). Please refer to the article and the first part of the supplementary information (SI1) for further details about the context and purpose of this repository.Note on foreground dataSprecher et al. (2014) made their foreground data partially available in a human-readable format under a CC BY-NC 4.0 license. The file `processDataCMLCA.xlsx` is based on their complete product system model and consists of an annotated human- and machine-readable version. This modified version also includes the allocation factors used by Sprecher et al. (2014) that were not reported in their original publication.Note on licensesThe data in the repository is based on the work by Sprecher et al. (2014) and licensed under a Creative Commons Attribution-NonCommercial 4.0 International License by Brenda Miranda Xicotencatl. The underlying source code is available in this repository under the MIT license. If you use the scripts, please refer to the Zenodo repository. For other use cases, please cite the research article.

This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature's AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1038/s41559-024-02417-5. Deposited by shareyourpaper.org and openaccessbutton.org. We've taken reasonable steps to ensure this content doesn't violate copyright. However, if you think it does you can request a takedown by emailing help@openaccessbutton.org.