FactoryBricks: a New Learning Platform for Smart Manufacturing Systems

Manufacturing industries are facing radical changes under the technological acceleration of Industry 4.0. The manufacturing workforce is not ready for such disruptions due to the lack of vertical skills on digital technologies. Production planning and control of manufacturing systems is often an experience-based art. Further, the companies need of offering training paths for long-life learning of their employees finds several obstacles in the availability of skilled trainers and the trainee’s low engagement with traditional learning models. This paper presents how the FactoryBricks project aims at overcoming the aforementioned issues. The project delivers effective training courses to enable the uptake of industrial technologies and smart manufacturing systems for professionals, either executives or technicians. Beside digital learning contents, the learners are offered an interaction with lab-scale models of production systems built with modular components such as LEGO®. The courses are designed in a modular way, and aim to teach manufacturing concepts in three main topics: (1) the physical system and its dynamics, (2) the physical-digital data connections for smart online analytics, and (3) the exploitation of digital models for production. The paper also presents the results of the prototypical implementation of the project

SARS-CoV-2 variant Alpha has a spike-dependent replication advantage over the ancestral B.1 strain in human cells with low ACE2 expression

Epidemiological data demonstrate that Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) Alpha and Delta are more transmissible, infectious, and pathogenic than previous variants. Phenotypic properties of VOC remain understudied. Here, we provide an extensive functional study of VOC Alpha replication and cell entry phenotypes assisted by reverse genetics, mutational mapping of spike in lentiviral pseudotypes, viral and cellular gene expression studies, and infectivity stability assays in an enhanced range of cell and epithelial culture models. In almost all models, VOC Alpha spread less or equally efficiently as ancestral (B.1) SARS-CoV-2. B.1. and VOC Alpha shared similar susceptibility to serum neutralization. Despite increased relative abundance of specific sgRNAs in the context of VOC Alpha infection, immune gene expression in infected cells did not differ between VOC Alpha and B.1. However, inferior spreading and entry efficiencies of VOC Alpha corresponded to lower abundance of proteolytically cleaved spike products presumably linked to the T716I mutation. In addition, we identified a bronchial cell line, NCI-H1299, which supported 24-fold increased growth of VOC Alpha and is to our knowledge the only cell line to recapitulate the fitness advantage of VOC Alpha compared to B.1. Interestingly, also VOC Delta showed a strong (595-fold) fitness advantage over B.1 in these cells. Comparative analysis of chimeric viruses expressing VOC Alpha spike in the backbone of B.1, and vice versa, showed that the specific replication phenotype of VOC Alpha in NCI-H1299 cells is largely determined by its spike protein. Despite undetectable ACE2 protein expression in NCI-H1299 cells, CRISPR/Cas9 knock-out and antibody-mediated blocking experiments revealed that multicycle spread of B.1 and VOC Alpha required ACE2 expression. Interestingly, entry of VOC Alpha, as opposed to B.1 virions, was largely unaffected by treatment with exogenous trypsin or saliva prior to infection, suggesting enhanced resistance of VOC Alpha spike to premature proteolytic cleavage in the extracellular environment of the human respiratory tract. This property may result in delayed degradation of VOC Alpha particle infectivity in conditions typical of mucosal fluids of the upper respiratory tract that may be recapitulated in NCI-H1299 cells closer than in highly ACE2-expressing cell lines and models. Our study highlights the importance of cell model evaluation and comparison for in-depth characterization of virus variant-specific phenotypes and uncovers a fine-tuned interrelationship between VOC Alpha- and host cell-specific determinants that may underlie the increased and prolonged virus shedding detected in patients infected with VOC Alpha

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

Surgical treatment of traumatic fractures of the thoracic and lumbar spine: A systematic review

Introduction: The treatment of traumatic thoracic and lumbar spine fractures remains controversial. To date no consensus exists on the correct choice of surgical approach and technique. Research question: to provide a comprehensive up-to-date overview of the available different surgical methods and their quantified outcomes. Methods: PubMed and EMBASE were searched between 2001 and 2020 using the term ‘spinal fractures’. Inclusion criteria were: adults, ≥10 cases, ≥12 months follow-up, thoracic or lumbar fractures, and surgery <3 weeks of trauma. Studies were categorized per surgical technique: Posterior open (PO), posterior percutaneous (PP), stand-alone vertebral body augmentation (SA), anterior scopic (AS), anterior open (AO), posterior percutaneous and anterior open (PPAO), posterior percutaneous and anterior scopic (PPAS), posterior open and anterior open (POAO) and posterior open and anterior scopic (POAS). The PO group was used as a reference group. Results: After duplicate removal 6042 articles were identified. A total of 102 articles were Included, in which 137 separate surgical technique cohorts were described: PO (n = 75), PP, (n = 39), SA (n = 12), AO (n = 5), PPAO (n = 1), PPAS (n = 1), POAO (n = 2) and POAS (n = 2). Discussion and conclusion: For type A3/A4 burst fractures, without severe neurological deficit, posterior percutaneous (PP) technique seems the safest and most feasible option in the past two decades. If needed, PP can be combined with anterior augmentation to prevent secondary kyphosis. Furthermore, posterior open (PO) technique is feasible in almost all types of fractures. Also, this technique can provide for an additional posterior decompression or fusion. Overall, no neurologic deterioration was reported following surgical intervention

FactoryBricks : une nouvelle plateforme d'apprentissage pour les systèmes de fabrication intelligents

International audienceManufacturing industries are facing radical changes under the technological acceleration of Industry 4.0. The manufacturing workforce is not ready for such disruptions due to the lack of vertical skills on digital technologies. Production planning and control of manufacturing systems is often an experience-based art. Further, the companies need of offering training paths for long-life learning of their employees finds several obstacles in the availability of skilled trainers and the trainee's low engagement with traditional learning models. This paper presents how the FactoryBricks project aims at overcoming the aforementioned issues. The project delivers effective training courses to enable the uptake of industrial technologies and smart manufacturing systems for professionals, either executives or technicians. Beside digital learning contents, the learners are offered an interaction with lab-scale models of production systems built with modular components such as LEGO ®. The courses are designed in a modular way, and aim to teach manufacturing concepts in three main topics: (1) the physical system and its dynamics, (2) the physical-digital data connections for smart online analytics, and (3) the exploitation of digital models for production. The paper also presents the results of the prototypical implementation of the project.Les industries manufacturières sont confrontées à des changements radicaux sous l'accélération technologique de l'industrie 4.0. La main-d'œuvre manufacturière n'est pas prête pour ces bouleversements en raison du manque de compétences verticales sur les technologies numériques. La planification et le contrôle de la production des systèmes de fabrication sont souvent un art basé sur l'expérience. En outre, les entreprises qui ont besoin d'offrir des parcours de formation pour l'apprentissage tout au long de la vie de leurs employés rencontrent plusieurs obstacles dans la disponibilité de formateurs qualifiés et le faible engagement des stagiaires dans les modèles d'apprentissage traditionnels. Cet article présente comment le projet FactoryBricks vise à surmonter les problèmes susmentionnés. Le projet propose des cours de formation efficaces pour permettre l'adoption des technologies industrielles et des systèmes de fabrication intelligents par les professionnels, qu'ils soient cadres ou techniciens. Outre les contenus d'apprentissage numériques, les apprenants ont la possibilité d'interagir avec des modèles à l'échelle du laboratoire de systèmes de production construits avec des composants modulaires tels que LEGO®. Les cours sont conçus de manière modulaire et visent à enseigner les concepts de fabrication dans trois domaines principaux : (1) le système physique et sa dynamique, (2) les connexions entre les données physiques et numériques pour une analyse intelligente en ligne, et (3) l'exploitation des modèles numériques pour la production. L'article présente également les résultats de la mise en œuvre prototypique du projet

Extending the Life Cycle of EEE - Findings from a Repair Study in Germany: Repair Challenges and Recommendations for Action

The increasing amount of waste from electrical and electronic equipment and the resulting environmental issues are challenging, since product life cycles are too short, and companies continue to rely on linear (business) models. The Circular Economy is an approach to meet these challenges by extending the product lifetime. One way to extend the product lifetime is to repair them. However, since there has been no detailed research on the repair sector yet, this article aims at conducting a repair study in Germany to understand the repair process and get insights into typical failure patterns. Therefore, we analyze the repair sector’s current barriers from different perspectives, especially of customers and businesses. We discuss the results of the repair study, where 382 repair attempts were conducted, with a total success rate of 55%. Moreover, the participants were interviewed to understand their barriers and motivation for repair. Based on the study’s interim findings, recommendations for action are given to make the repair services more attractive for the repairer and customer. Based on the findings, an interdisciplinary approach to improve repair processes by using a digital repair portal is derived

Delayed cytopathic onset of VOC Alpha SARS-CoV-2 infection.

Vero E6 cells were infected with B.1, VOC Alpha/v1, and VOC Alpha/v2 (MOI 0.001). Onset of CPE was monitored by live cell imaging until 70 hours postinfection. CPE, cytopathogenic effect; MOI, multiplicity of infection; SARS-CoV-2, Severe Acute Respiratory Syndrome Coronavirus 2; VOC, variant of concern. (MP4)</p

Primers used for quantitative RT-PCR.

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Similar abundance of sgN RNAs, genome replication, and low but similar expression of IFNs, proinflammatory cytokines, and ISGs in B.1 and VOC Alpha-infected H1299 cells.

NCI-H1299 cells were infected with B.1 or VOC Alpha (MOI of 2), and viral replication, viral transcription, and expression of innate immune genes were determined by Q-RT-PCR from cell lysates at 24 and 48 hours postinfection. (A) Expression of cell-associated envelope. (B) Expression of cell-associated sgN RNA. TBP was used for normalization. (C) Expression of the indicated genes was determined by specific Q-RT-PCR. TBP was used for normalization. Shown is the mean fold change +/− SD of 3 biologically independent experiments that were each conducted in quadruples. RVFV cl.13, which is devoid of its IFN antagonist NSs, was included for the expression of IFNs, ISGs, and pro-inflammatory cytokines. GE, genome equivalents; IFN, interferon; ISG, IFN-stimulated gene; Q-RT-PCR, quantitative real-time PCR; RVFV cl.13, Rift Valley Fever Virus clone 13; sgN, subgenomic nucleocapsid; TBP, TATA-binding protein. See S1 Data. (TIF)</p