Open Access

The epithelial sodium channel (ENaC) plays a key role in salt and water homeostasis in tetrapod vertebrates. There are four ENaC subunits (α, β, γ, δ), forming heterotrimeric αβγ- or δβγ-ENaCs. While the physiology of αβγ-ENaC is well understood, for decades the field has stalled with respect to δβγ-ENaC due to the lack of mammalian model organisms. The SCNN1D gene coding for δ-ENaC was previously believed to be absent in rodents, hindering studies using standard laboratory animals. We analysed all currently available rodent genomes and discovered that SCNN1D is present in rodents but was independently lost in five rodent lineages, including the Muridae (mice and rats). The independent loss of SCNN1D in rodent lineages may be constrained by phylogeny and taxon-specific adaptation to dry habitats, however habitat aridity does not provide a selection pressure for maintenance of SCNN1D across Rodentia. A fusion of two exons coding for a structurally flexible region in the extracellular domain of δ-ENaC appeared in the Hystricognathi (a group that includes guinea pigs). This conserved pattern evolved at least 41 Ma ago and represents a new autapomorphic feature for this clade. Exon fusion does not impair functionality of guinea pig (Cavia porcellus) δβγ-ENaC expressed in Xenopus oocytes. Electrophysiological characterisation at the whole-cell and single-channel level revealed conserved biophysical features and mechanisms controlling guinea pig αβγ- and δβγ-ENaC function as compared to human orthologues. Guinea pigs therefore represent commercially available mammalian model animals that will help shed light on the physiological function of δ-ENaC.

In the field of service robots, dealing with faults is crucial to promote user acceptance. In this context, this work focuses on some specific faults which arise from the interaction of a robot with its real world environment due to insufficient knowledge for action execution. In our previous work [1], we have shown that such missing knowledge can be obtained through learning by experimentation. The combination of symbolic and geometric models allows us to represent action execution knowledge effectively. However we did not propose a suitable representation of the symbolic model. In this work we investigate such symbolic representation and evaluate its learning capability. The experimental analysis is performed on four use cases using four different learning paradigms. As a result, the symbolic representation together with the most suitable learning paradigm are identified.

Motivation: With the increasing penetration of distributed energy resources (DER) in power systems, the need for forecasts at the distribution level increases. Forecasts of distributed generation (DG) units and power flow forecasts of relevant distribution nodes are already required for capacity planning at the transmission level. In Germany, the upcoming redispatch 2.0 procedure will require forecasting at the distribution level. This paper evaluates the benefits of using advanced PV forecasts in predictive congestion management.

The majority of biomedical knowledge is stored in structured databases or as unstructured text in scientific publications. This vast amount of information has led to numerous machine learning-based biological applications using either text through natural language processing (NLP) or structured data through knowledge graph embedding models (KGEMs). However, representations based on a single modality are inherently limited. To generate better representations of biological knowledge, we propose STonKGs, a Sophisticated Transformer trained on biomedical text and Knowledge Graphs. This multimodal Transformer uses combined input sequences of structured information from KGs and unstructured text data from biomedical literature to learn joint representations. First, we pre-trained STonKGs on a knowledge base assembled by the Integrated Network and Dynamical Reasoning Assembler (INDRA) consisting of millions of text-triple pairs extracted from biomedical literature by multiple NLP systems. Then, we benchmarked STonKGs against two baseline models trained on either one of the modalities (i.e., text or KG) across eight different classification tasks, each corresponding to a different biological application. Our results demonstrate that STonKGs outperforms both baselines, especially on the more challenging tasks with respect to the number of classes, improving upon the F1-score of the best baseline by up to 0.083. Additionally, our pre-trained model as well as the model architecture can be adapted to various other transfer learning applications. Finally, the source code and pre-trained STonKGs models are available at https://github.com/stonkgs/stonkgs and https://huggingface.co/stonkgs/stonkgs-150k.

Das Jahr 2020 stand unter dem Eindruck der Corona-Pandemie, die den Hochschulalltag schlagartig verändert hat. Daraus ergaben sich für vor allem für die Lehre, die Forschung und die Verwaltung Herausforderungen, aber auch neue Perspektiven. "Wir haben dabei viel für die Hochschule der Zukunft gelernt, etwa wie Digitalisierung den Hochschulalltag verändern wird", so Hochschulpräsident Hartmut Ihne in seinem Vorwort zum Jahresbericht. "Vor allem aber haben wir gelernt, dass wir die Solidarität aller mit allen brauchen." Der Jahresbericht stellt zahlreiche Beispiele für gelungene Gemeinschaftsleistungen heraus - ob es nun um den Umgang mit der Corona-Pandemie, Projekte zur Energiewende und zum Klimaschutz, Coaching für internationale Studierende oder den Erfolg des Hacker-Teams beim internationalen Wettbewerb "Hack-a-Sat" geht. Auf mehr als 80 Seiten bietet die Broschüre einen Überblick über die wichtigsten Themen aus den Gebieten Forschung, Lehre, Studium und Kooperation. Abgerundet wird der Jahresbericht durch Daten, Fakten und Personalien. Im Interview sprechen zudem Hartmut Ihne und Bonns Oberbürgermeisterin Katja Dörner über die Bewältigung des Klimawandels. Dabei geht es vor allem um die Frage, wie der durch die Corona-Pandemie intensiver gewordene Dialog zwischen Wissenschaft und Politik zu einem schnelleren Handeln beitragen kann.

In contrast to the German power supply, the energy supply in many West African countries is very unstable. Frequent power outages are not uncommon. Especially for critical infrastructures, such as hospitals, a stable power supply is vital. To compensate for the power outages, diesel generators are often used. In the future, these systems will increasingly be supplemented by PV systems and storage, so that the generator will have to be used less or not at all when needed. For the design and operation of such systems, it is necessary to better understand the atmospheric variability of PV power generation. For example, there are large variations between rainy and dry seasons, between days with high and low dust levels - caused by sandstorms (harmattan) or urban air pollution.

Kundenloyalität stellt als langfristig wirkende Metrik eine erstrebenswerte Erfolgsgröße vieler Unternehmen dar. Im Rahmen einer Strukturgleichungsmodellierung wurden die Beziehungen und Auswirkungen der wahrgenommenen Kundenzentrierung, des Markenvertrauens (kognitiv und affektiv) und der Preis-Wahrnehmung auf die Kundenloyalität (Wiederkaufintention und Empfehlungsbereitschaft) bei physischen high-Involvement-Produkten untersucht. (Verlagsangaben)

The changing world poses many challenges to public policies, including social policies – among them social protection policies, which are the main focus of this handbook. Here, in this part of the handbook, we take on a number of these challenges: demographic changes and their interaction with social protection policies; roles of social protection in coping with the consequences of the COVID-19 pandemic (both topics discussed in Chapter 39 and 43 by Woodall); the challenges of globalisation (discussed in Chapter 40 by Betz) and the limitations it imposes on state sovereignty and its ability to decide on the size of publicly funded programmes, in particular social protection; challenges to labour markets and social effective protection coverage posed by automation and digitalisation of businesses (discussed in Chapter 41 by Gassmann) and, last but not least, potential roles of social protection in facilitating population’s adjustments to climate change (discussed in Chapter 42 by Malerba).

In recent years, the basic income grant (BIG) discourse has gained attention worldwide as a potential policy option in social protection as testified by recent public debates, ongoing pilot projects, campaigning efforts,1 policy measures during Covid-19 and the surge in academic research. A BIG refers to regular cash transfers paid to all members of society irrespective of their socio-economic status, their capacity or willingness to participate in the labour market or having to meet pre-determined conditions (Offe 2008; Van Parijs 1995, 2003; Wright 2004, 2006). Despite the recent hype around BIG, Iran is the only country worldwide with a scaled-up BIG (Tabatabai 2011, 2012). Other programmes have never gone beyond pilot programmes. This raises the question why this is the case.

For reforms to be acceptable and sustainable in the long run, they should be aligned with public preferences. ‘Preferences’ is a technical term used in social sciences or humanities including for example disciplines such as economics, philosophy or psychology. Broadly speaking, preferences refer to an individual’s judgements on liking one alternative more than others. More specifically, preferences are ‘subjective comparative evaluations, in the form of “Agent prefers X to Y”’ (Hansson and Grüne-Yanoff 2018). Here, we are particularly interested in people’s policy preferences concerning social protection, an area which deserves more attention in policy debates and research.

While there is a standard set of instruments that can be used in social protection systems, this needs to be adapted and combined in different ways in order to serve different groups in society best. The needs of a young person who is just starting life and should not be trapped from birth in unfavourable socio-economic conditions are different from the social protection requirements of a retired person who has finished the active part of life and requires income and care security for an indefinite time period.

Social protection is for many international organizations a state’s affair.1 While the state definitely plays an important role, the state is by far not the only actor and there is no predefined institutional arrangement of how social protection should be implemented. An exclusive focus on the state would therefore be short-sighted when assessing and comparing the performance of social protection systems. It is hence important to understand the mix of actors involved, the type of contribution they can make to social protection and their modes of cooperation. This contribution will therefore first sketch out the role and interplay of the main actors in social protection and then challenge some of the common assumptions made around how roles are best allocated in the social protection system concerning the providers of informal social protection, the private sector, civil society organizations (CSO) as well as international actors.

The idea of a basic income grant (BIG) is not new and there are ongoing debates internationally as well as nationally in low- and middle-income countries just like in high-income countries of a BIG as a social protection policy option. The challenge is that there are different conceptualisations, which conflates and muddles the understanding. In the context of social assistance provision, a universal basic income grant (UBIG) is often compared and contrasted against targeted cash transfers (CTs). This case study systematically presents the arguments for targeted CTs and UBIGs. The value of the case study is that it systematically brings together these arguments, highlighting the variations in UBIG applications, including the evidence and actual impact of UBIG experiments. The structure of the case study is as follows: Section 2 simultaneously contrasts and compares the arguments for targeted CTs and UBIG. Section 3 discusses UBIG experiments, as well as presenting the evidence on the application of the UBIG idea, and Section 4 concludes.

While social protection has become an important policy field in many low- and middle-income countries (LICs and MICs), 55 per cent of the world’s population are still not even covered by one social protection benefit, with 87 per cent of people uncovered in Sub-Saharan Africa and 61 per cent in Asia and the Pacific (ILO 2017). Next to undercoverage, there are other factors that lower the efficiency, effectiveness and social justice of social protection in many countries, such as the lack of a joint vision and policy strategy, fragmented social protection programmes, duplication of administrative systems and efforts and irrational prioritisation in spending. These all call for a stronger systems approach to social protection. This handbook is therefore dedicated to social protection systems, highlighting the relevance but also the challenges that are related to a harmonised and coordinated approach across different social protection instruments, institutions, actors and delivery mechanisms. It takes the reader through all possible aspects of social protection systems.