Image-based roughness estimation of laser cut edges with a convolutional neural network

Laser cutting of metals is a complex process with many influencing factors. As some of them are subject to change, the cut quality needs to be checked regularly. This paper aims to estimate the roughness of cut edges based on RGB images instead of surface topography measurements. We trained a convolutional neural network (CNN) on a broad database of images and corresponding roughness values. The CNN estimates the roughness well with a mean error of 3.6 µm. Sometimes it is more reliable than the surface measuring device because the RGB images are less prone to reflectivity problems than the measurements

Accelerating Generalized Linear Models by Trading off Computation for Uncertainty

Bayesian Generalized Linear Models (GLMs) define a flexible probabilistic framework to model categorical, ordinal and continuous data, and are widely used in practice. However, exact inference in GLMs is prohibitively expensive for large datasets, thus requiring approximations in practice. The resulting approximation error adversely impacts the reliability of the model and is not accounted for in the uncertainty of the prediction. In this work, we introduce a family of iterative methods that explicitly model this error. They are uniquely suited to parallel modern computing hardware, efficiently recycle computations, and compress information to reduce both the time and memory requirements for GLMs. As we demonstrate on a realistically large classification problem, our method significantly accelerates training by explicitly trading off reduced computation for increased uncertainty.Comment: Main text: 10 pages, 6 figures; Supplements: 13 pages, 2 figure

Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens

Obwohl das Laserschneiden von Metallen ein etabliertes Verfahren ist, besteht ein erhebliches Verbesserungspotenzial hinsichtlich verschiedener Anforderungen an die fertigende Industrie. Dieses wird identifiziert und anschließend wird gezeigt, wie Verbesserungen mithilfe von maschinellem Lernen erzielt werden könnten. Als Grundlage dafür dient eine Datenbasis, die die verwendeten Prozessparameter, RGB-Bilder, 3D-Punktwolken und verschiedene Qualitätsmerkmale von fast 4000 Schnittkanten enthält

Molecular Characterization of Virus-induced Autoantibody Responses

Here we present a comprehensive molecular mapping of virus-induced autoimmune B cell responses obtained by serological identification of antigens by recombinant expression cloning analysis. Immunoscreening of cDNA expression libraries of various organs (lung, liver, and spleen) using sera from mice infected with cytopathic (vaccinia virus [VV]) or noncytopathic (lymphocytic choriomeningitis virus [LCMV]) viruses revealed a broad specificity of the elicited autoantibody response. Interestingly, the majority of the identified autoantigens have been previously described as autoantigens in humans. We found that induction of virus-induced autoantibodies of the immunoglobulin G class largely depends on the CD40–CD40L-mediated interaction between T and B cells. Furthermore, antibody titers against a number of autoantigens were comparable to the concomitantly induced antiviral antibody response. Comparison of serum reactivity against a selected panel of autoantigens after infection with VV, LCMV, or vesicular stomatitis virus showed that the different virus infections triggered distinct autoantibody responses, suggesting that virus infections may leave specific “autoantibody fingerprints” in the infected host

Best practice in the use of peripheral venous catheters: A scoping review and expert consensus

Background: Peripheral intravenous catheters (PIVCs) are the most commonly used invasive medical device in health care with an overall failure rate of 35e50%. Most complications are non-infectious, but local site and bloodstream infections can also occur. Even if PIVC-related infections are rare, the total number of affected patients and the preponderance of Staphylococcus aureus as related pathogen due to the frequent use of these devices are relevant arguments to implement preventive strategies. The aim of this document is to raise awareness that infections caused by PIVCs are a relevant problem that can be reduced by practice change. Methods: A panel of experts discussed this topic based on evidence and proposed practice points by consensus.Discussion: Despite published evidence-based guidelines, current practice concerning aseptic techniques during insertion and care of PIVCs often are substandard. These devices have become commonplace and tend to be perceived as safe. An overall lack of awareness about the true risks associated with the use of PIVCs results in limited surveillance and prevention efforts.Conclusion: Successful insertion and maintenance bundles in central venous lines are a blueprint to the implementation of adapted bundle strategies in the prevention of PIVCassociated infections. There is a need for studies to specifically investigate infection prevention in PIVCs and to agree on effective and implementable bundles.& COPY; 2023 The Authors. Published by Elsevier Ltd on behalf of The Healthcare Infection Society. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Mesothelin\u27s minimal MUC16 binding moiety converts TR3 into a potent cancer therapeutic via hierarchical binding events at the plasma membrane

TRAIL has been extensively explored as a cancer drug based on its tumor-selective activity profile but it is incapable per se of discriminating between death receptors expressed by normal host cells and transformed cancer cells. Furthermore, it is well documented that surface tethering substantially increases its biologic activity. We have previously reported on Meso-TR3, a constitutive TRAIL trimer targeted to the biomarker MUC16 (CA125), in which the entire ectodomain of human mesothelin was genetically fused to the TR3 platform, facilitating attachment to the cancer cells via the MUC16 receptor. Here, we designed a truncation variant, in which the minimal 64 amino acid MUC16 binding domain of mesothelin was incorporated into TR3. It turned out that the dual-domain biologic Meso64-TR3 retained its high MUC16 affinity and bound to the cancer cells quickly, independent of the TR3/death receptor interaction. Furthermore, it was substantially more potent than Meso-TR3 and TR3 in vitro and in a preclinical xenograft model of MUC16-dependent ovarian cancer. Phenotypically, Meso64-TR3 is more closely related to non-targeted TR3, evident by indistinguishable activity profiles on MUC16-deficient cancers and similar thermal stability characteristics. Overall, Meso64-TR3 represents a fully human, MUC16-targetd TRAIL-based biologic, ideally suited for exploring preclinical and clinical evaluation studies in MUC16-dependent malignancies

Vision, mission, and values: From concept to execution at Mayo Clinic

Mayo Clinic displays steadfast commitment to patient care, referral relations, and health care quality through institutional examples of unique, value-add endeavors that are under way with the Mayo Clinic Patient Experience Subcommittee and the Referring Physician Office. In this article, we share the Mayo Model of Care and patient stories that embody the 8 Mayo Clinic values of respect, compassion, integrity, healing, teamwork, excellence, innovation, and stewardship. The Mayo founders imparted to their staff the passion for patient care by encouraging a fair and just culture for its employees. This culture allows the creation, maintenance, and improvement of clinical care, research studies, and educational curricula, which in turn propagate the mission–“To inspire hope and contribute to health and well-being by providing the best care to every patient through integrated clinical practice, education, and research.

Enhanced cartilage regeneration in MIA/CD-RAP deficient mice

Melanoma inhibitory activity/cartilage-derived retinoic acid-sensitive protein (MIA/CD-RAP) is a small soluble protein secreted from chondrocytes. It was identified as the prototype of a family of extracellular proteins adopting an SH3 domain-like fold. In order to study the consequences of MIA/CD-RAP deficiency in detail we used mice with a targeted gene disruption of MIA/CD-RAP (MIA−/−) and analyzed cartilage organisation and differentiation in in vivo and in vitro models. Cartilage formation and regeneration was determined in models for osteoarthritis and fracture healing in vivo, in addition to in vitro studies using mesenchymal stem cells of MIA−/− mice. Interestingly, our data suggest enhanced chondrocytic regeneration in the MIA−/− mice, modulated by enhanced proliferation and delayed differentiation. Expression analysis of cartilage tissue derived from MIA−/− mice revealed strong downregulation of nuclear RNA-binding protein 54-kDa (p54nrb), a recently described modulator of Sox9 activity. In this study, we present p54nrb as a mediator of MIA/CD-RAP to promote chondrogenesis. Taken together, our data indicate that MIA/CD-RAP is required for differentiation in cartilage potentially by regulating signaling processes during differentiation