Experiences with creating a Precision Dairy Farming Ontology (DFO) and a Knowledge Graph for the Data Integration Platform in agriOpenLink

One of the central problems in creating information management solutions for precision dairy farming is integration and interpretation of heterogeneous data coming from different equipment and data sources. Establishing a unifying data model is recognized as a cornerstone to such solutions. Here, the challenge lies both in agreeing on a common information context, and in selecting appropriate model representations, model query and update techniques, which guarantee model extensibility. While already existing ISOagriNET Data Dictionaries capture broad variety of the livestock and dairy farming concepts, the existing model representation technics cannot support efficient model extension. In this paper, we present our experience with using the representation and query standards and tools of the Semantic Web, endorsed by the World Wide Web Consortium (W3C), in particular the Resource Description Framework (RDF), the Web Ontology Language (OWL), and the SPARQL query standard, to encode and manipulate the dairy farming domain knowledge in a form of the Dairy Farming Ontology (DFO). Within the research project agriOpenLink the DFO has been created in two phases. The first phase focused on using the Semantic Web tools to facilitate easy encoding and manipulation of the dairy farming domain knowledge and the platform operational data models. The second phase focused on translating ISOagriNET Data Dictionaries into their semantic representations. Resulting DFO is maintained in a semantic repository, and it presents a knowledge graph and as integration backbone for the agriOpenLink decision support platform.</jats:p

A plain language summary of what clinical studies can tell us about the safety of evobrutinib – a potential treatment for multiple sclerosis

Immunology; Rheumatology; Systemic lupus erythematosusInmunología; Reumatología; Lupus eritematoso sistémicoImmunologia; Reumatologia; Lupus eritematós sistèmicWhat is this summary about?: This summary explains the findings from a recent investigation that combined the results of over 1000 people from three clinical studies to understand the safety of evobrutinib. Evobrutinib is an oral medication (taken by mouth), being researched as a potential treatment for multiple sclerosis (MS). This medication was also investigated in rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE). Over 1000 people have taken evobrutinib as part of three separate phase 2 clinical studies. These studies looked at how much of the drug should be taken, how safe the drug is, and how well it might work for treating a certain medical condition. What were the results?: Evobrutinib was well-tolerated by participants in all three studies. The number of side effects reported by participants taking the medication was very similar to those reported by participants taking the placebo (a 'dummy' treatment without a real drug). The most common side effects in clinical studies were urinary tract infections, headache, swelling of the nose and throat, diarrhoea and blood markers of potential liver damage (these returned to normal once the treatment was stopped). What do the results mean?: The safety data from all three clinical studies are encouraging and can be used to inform further research into using evobrutinib in MS.X Montalban has received speaking honoraria and travel expenses for participation in scientific meetings, has been a steering committee member of clinical trials or participated in advisory boards of clinical trials in the past years with Abbvie, Actelion, Alexion, Biogen, Bristol-Myers Squibb/Celgene, EMD Serono, Genzyme, Hoffmann-La Roche, Immunic, Janssen Pharmaceuticals, Medday, Merck, Mylan, Nervgen, Novartis, Sandoz, Sanofi-Genzyme, Teva Pharmaceutical, TG Therapeutics, Excemed, MSIF and NMSS. D Wallace has received consultant fees from Amgen, Celgene, Eli Lilly, EMD Serono Research & Development Institute, Inc., Billerica, MA, USA (an affiliate of Merck KGaA), Janssen and Merck. MC Genovese is an employee of and has financial interests in Gilead. D Tomic is an employee of Ares Trading SA, Eysins, Switzerland, an affiliate of Merck KGaA, and received stock or an ownership interest from Novartis. D Parsons-Rich was an employee of EMD Serono Research & Development Institute, Inc., Billerica, MA, USA, an affiliate of Merck KGaA, at the time of the study, and is currently an employee of and has received stock from Pfizer. C Le Bolay and H Guehring are employees of Merck Healthcare KGaA, Darmstadt, Germany. A Kao is an employee of and received stock or an ownership interest from EMD Serono Inc., Billerica, MA, USA, a healthcare business of Merck KGaA. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed. The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: this work was supported by Merck (CrossRef Funder ID: 10.13039/100009945). This summary was prepared by Lumanity on behalf of, and funded by, Merck KGaA, Darmstadt, Germany

Characterisation of the safety profile of evobrutinib in over 1000 patients from phase II clinical trials in multiple sclerosis, rheumatoid arthritis and systemic lupus erythematosus: an integrated safety analysis

Immunology; Multiple sclerosis; RheumatologyInmunología; Esclerosis múltiple; ReumatologíaImmunologia; Esclerosi múltiple; ReumatologiaObjective Analyse the integrated safety profile of evobrutinib, a Bruton’s tyrosine kinase inhibitor (BTKi), using pooled data from multiple sclerosis (MS), rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) trials. Methods Phase II, randomised, double-blind, placebo-controlled trial data were analysed (N=1083; MS: n=213, 48 weeks (W); RA: n=390, 12W; SLE: n=480, 52W). The analysis included all patients who received ≥1 dose of evobrutinib (25 mg or 75 mg once daily, or 50 mg or 75 mgtwice daily) or placebo. Descriptive statistics and exposure-adjusted incidence rates (EAIR) were used to report treatment-emergent adverse events (TEAEs). Results Data from 1083 patients were pooled: evobrutinib, n=861; placebo, n=271 (sum >1083 due to MS trial design: n=49 received both placebo (W0–24) and evobrutinib 25 mg (W25–48)); median follow-up time (pt-years): evobrutinib, 0.501; placebo, 0.463. Across indications, the proportion of patients with TEAEs and the EAIR were similar for evobrutinib and placebo (66.2% (247.6 events/100 pt-years) vs 62.4% (261.4 events/100 pt-years)). By indication, the EAIR (events/100 pt-years) of TEAEs for evobrutinib versus placebo were: MS: 119.7 vs 148.3; RA: 331.8 vs 306.8; SLE: 343.0 vs 302.1. Two fatal events occurred (in SLE). The serious infections EAIR was 2.7 and 2.1 events/100 pt-years for evobrutinib and placebo. For previously reported BTKi-class effects, the EAIR of transient elevated alanine aminotransferase/aspartate aminotransferase TEAEs (events/100 pt-years) with evobrutinib versus placebo was 4.8 vs 2.8/3.5 vs 0.7, respectively. IgG levels were similar in evobrutinib/placebo-treated patients. Conclusions This is the first BTKi-integrated safety analysis that includes patients with MS. Overall, evobrutinib treatment (all doses) was generally well tolerated across indications.The trial was sponsored by Merck Healthcare KGaA (CrossRef Funder ID: 10.13039/100009945)

Cabbage and fermented vegetables : From death rate heterogeneity in countries to candidates for mitigation strategies of severe COVID-19

Large differences in COVID-19 death rates exist between countries and between regions of the same country. Some very low death rate countries such as Eastern Asia, Central Europe, or the Balkans have a common feature of eating large quantities of fermented foods. Although biases exist when examining ecological studies, fermented vegetables or cabbage have been associated with low death rates in European countries. SARS-CoV-2 binds to its receptor, the angiotensin-converting enzyme 2 (ACE2). As a result of SARS-CoV-2 binding, ACE2 downregulation enhances the angiotensin II receptor type 1 (AT(1)R) axis associated with oxidative stress. This leads to insulin resistance as well as lung and endothelial damage, two severe outcomes of COVID-19. The nuclear factor (erythroid-derived 2)-like 2 (Nrf2) is the most potent antioxidant in humans and can block in particular the AT(1)R axis. Cabbage contains precursors of sulforaphane, the most active natural activator of Nrf2. Fermented vegetables contain many lactobacilli, which are also potent Nrf2 activators. Three examples are: kimchi in Korea, westernized foods, and the slum paradox. It is proposed that fermented cabbage is a proof-of-concept of dietary manipulations that may enhance Nrf2-associated antioxidant effects, helpful in mitigating COVID-19 severity.Peer reviewe

Nrf2-interacting nutrients and COVID-19 : time for research to develop adaptation strategies

There are large between- and within-country variations in COVID-19 death rates. Some very low death rate settings such as Eastern Asia, Central Europe, the Balkans and Africa have a common feature of eating large quantities of fermented foods whose intake is associated with the activation of the Nrf2 (Nuclear factor (erythroid-derived 2)-like 2) anti-oxidant transcription factor. There are many Nrf2-interacting nutrients (berberine, curcumin, epigallocatechin gallate, genistein, quercetin, resveratrol, sulforaphane) that all act similarly to reduce insulin resistance, endothelial damage, lung injury and cytokine storm. They also act on the same mechanisms (mTOR: Mammalian target of rapamycin, PPAR gamma:Peroxisome proliferator-activated receptor, NF kappa B: Nuclear factor kappa B, ERK: Extracellular signal-regulated kinases and eIF2 alpha:Elongation initiation factor 2 alpha). They may as a result be important in mitigating the severity of COVID-19, acting through the endoplasmic reticulum stress or ACE-Angiotensin-II-AT(1)R axis (AT(1)R) pathway. Many Nrf2-interacting nutrients are also interacting with TRPA1 and/or TRPV1. Interestingly, geographical areas with very low COVID-19 mortality are those with the lowest prevalence of obesity (Sub-Saharan Africa and Asia). It is tempting to propose that Nrf2-interacting foods and nutrients can re-balance insulin resistance and have a significant effect on COVID-19 severity. It is therefore possible that the intake of these foods may restore an optimal natural balance for the Nrf2 pathway and may be of interest in the mitigation of COVID-19 severity

How artificial intelligence (AI) innovators profit from innovation in digital platform ecosystems : an explorative business model study

The topic of this thesis is the relationship between the business models (BMs) of the firms which create artificial intelligence (AI) solutions in complex digital platform ecosystems and their success in profiting from innovation. The AI technology endows machines and processes with human-like communication and perception abilities, and with the capacity to learn from data and optimize at scale not accessible to humans. The AI technology solutions depend on the underlying digital solutions for access to data and computation resources. An AI solution is a digital product offered over a complex platformbased architecture that combines internal innovation with complementary assets some of which are controlled by other companies. According to theory, external complementary assets have substantial impact on how much a firm can profit from innovation. How key assets are allocated and controlled is part of a firms business model. The aim of the thesis is to systematize BMs of AI innovators into a typology of patterns and to analyze how AI innovators of different types profit from their innovation. The thesis adopts the qualitative content analysis of the information acquired in e-research. The particular focus of this study is on the AI innovators who are registered in the CrunchBase database, and who were acquired by other companies. The BM information is extracted from the websites of firms and the information about the acquisition. The hypotheses are: H1) Based on the collected data, a small number of distinct patterns can be identified; H2) The motivation for acquisition is to improve not only operational capabilities but also higher-order transformative capabilities, H3) The existing theory can be applied to BM patterns to reason about the emergence of the dominant design. The result of the thesis is a typology of BM patterns and the underpinning analysis framework. The research prospects include verifying the typology and the analysis framework in both case studies and a larger sample of companies and conducting quantitative studies based on surveys and interviews with experts and managers to verify the findings.7

Harnessing coherence of area decomposition and semantic shared spaces for task allocation in a robotic fleet

Task allocation is a fundamental problem in multi-robot systems where heterogeneous robots cooperate to perform a complex mission. A general requirement in a task allocation algorithm is to find an optimal set of robots to execute a certain task. This paper presents the work that harnesses an area decomposition algorithm, and a space-based middleware to facilitate task allocation process in unstructured and dynamic environments. To reduce spatial interference between robots, area decomposition algorithm divides a working area into cells which are then dynamically assigned to robots. In addition, coordination and collaboration among distributed robots are realized through a space-based middleware. For this purpose, the space-based middleware is extended with a semantic model of robot capabilities to improve task selection in terms of flexibility, scalability, and reduced communication overhead during task allocation. In this way a framework which exploits the synergy of area decomposition and semantically enriched space-based approach is created. We conducted performance tests in a specific precision agriculture use case focusing on the utilization of a robotic fleet for weed control introduced in the European Project RHEA – Robot Fleets for Highly Effective Agriculture and Forestry Management