A flexible Diversity Workbench tool to publish biodiversity data from SQL database networks through platforms like GFBio

The Diversity Workbench (DWB, www.diversityworkbench.net) is a suite of MS SQL databases and data processing tools designed for the management of research data in biology, ecology and geosciences. The software apart from the underlying DBMS is open source. The complete software package is freely available. The DWB with ten data domain-specific databases, one generic database and some independent data processing tools is the result of 20 years software development. The DWB is suitable for single researchers, research groups of any size but also appropriate to set up networks for long-term data repositories and data centers. To operate automated transfer of bio- and geodiversity data for publication from those in-house networks, a new DWB tool was implemented. The core functions include the filtering and transformation of data and metadata from selected in-house data collections stored in productive master SQL databases. The tool is designed for use by database administrators and scientific data curators. It fulfils three major steps for each single data collection: • term, taxa and metadata assignment with parallel data export and creation of a not publicly accessible first-level cache MS SQL database independent from the DWB master database network; unifying data from data domain-specific DWB source databases inside of a (institutional) firewall • re-organisation of data, filtering according later data package assignment and creation of a second-level publicly accessible PostgreSQL database • creation of a publicly accessible data package properly formatted for data harvesting tools of web portals and for data mapping and provision software like the BIOCASe Provider Software. With this DWB tool for guiding data publication some major challenges in bio- and geodiversity research are addressed: a) The data filtering, transformation and publication can be done periodically and is realized without data change and information loss in the linked in-house master databases which might be curated in the long-run. b) A data expert and data scientist is able to handle this transformation tool and organize data publication with minor involvement of a database administrator. c) The data packages are configured for publication according to the individual requests of data producers who often ask for anonymization of certain persons, intend to withhold single data units, set embargos and have to blur geographic coordinates. d) With the automated data transfer for publication, the tool guarantees a reproducible path from the original source to the presentation on a platform. The data centers SMNS and SNSB are using the tool to guide their data publication through the GBIF global biodiversity data network (https://www.gbif.org/) and through the GFBio platform (https://www.gfbio.org/). Furthermore, it is used to create specifically formatted, publicly accessible cache databases with filtered and aggregated content for thematically focused information portals like the Botanischer Informationsknoten Bayern (http://daten.bayernflora.de/de/index.php). Summarizing, the new DWB tool is able to support a wide range of data transfer and transformation tasks for data publication from DWB networks. It is included in the published software versions of DiversityCollection and described in its manual. Future planning includes the extension of the tool to involve the data filtering and transformation from DiversityDescriptions as a generic DWB source database. KEYWORDS: automated data transfer, biodiversity data, data filtering, data publication, GFBio data center

Long-term decoding of movement force and direction with a wireless myoelectric implant

Objective. The ease of use and number of degrees of freedom of current myoelectric hand prostheses is limited by the information content and reliability of the surface electromyography (sEMG) signals used to control them. For example, cross-talk limits the capacity to pick up signals from small or deep muscles, such as the forearm muscles for distal arm amputations, or sites of targeted muscle reinnervation (TMR) for proximal amputations. Here we test if signals recorded from the fully implanted, induction-powered wireless Myoplant system allow long-term decoding of continuous as well as discrete movement parameters with better reliability than equivalent sEMG recordings. The Myoplant system uses a centralized implant to transmit broadband EMG activity from four distributed bipolar epimysial electrodes. Approach. Two Rhesus macaques received implants in their backs, while electrodes were placed in their upper arm. One of the monkeys was trained to do a cursor task via a haptic robot, allowing us to control the forces exerted by the animal during arm movements. The second animal was trained to perform a center-out reaching task on a touchscreen. We compared the implanted system with concurrent sEMG recordings by evaluating our ability to decode time-varying force in one animal and discrete reach directions in the other from multiple features extracted from the raw EMG signals. Main results. In both cases, data from the implant allowed a decoder trained with data from a single day to maintain an accurate decoding performance during the following months, which was not the case for concurrent surface EMG recordings conducted simultaneously over the same muscles. Significance. These results show that a fully implantable, centralized wireless EMG system is particularly suited for long-term stable decoding of dynamic movements in demanding applications such as advanced forelimb prosthetics in a wide range of configurations (distal amputations, TMR).German Federal Ministry for Education and Reseach (BMBF) grant No, 16SV3695, 16SV3699, 16SV3697 and 01GQ1005C, DFG Deutsche Forschungsgemeinschaft grant No. GA1475-C

Reducing the risks of nuclear war—The role of health professionals

In January, 2023, the Science and Security Board of the Bulletin of the Atomic Scientists moved the hands of the Doomsday Clock forward to 90s before midnight, reflecting the growing risk of nuclear war. In August, 2022, the UN Secretary-General António Guterres warned that the world is now in “a time of nuclear danger not seen since the height of the Cold War.” The danger has been underlined by growing tensions between many nuclear armed states. Read more in the PDF..

Reducing the risks of nuclear war - the role of health professionals

Any use of nuclear weapons would be catastrophic for humanity. Even a “limited” nuclear war involving only 250 of the 13 000 nuclear weapons in the world could kill 120 million people outright and cause global climate disruption leading to a nuclear famine, putting 2 billion people at risk. We now call on health professional associations to inform their members worldwide about the threat to human survival and to join with the IPPNW to support efforts to reduce the near-term risks of nuclear war

Reducing the risks of nuclear war – The role of health professionals

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