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The novel SARS-CoV-2 virus and resulting COVID-19 global pandemic emerged in 2019 and continues into 2022. While mortality from COVID-19 is slowly declining, a subset of patients have developed chronic, debilitating symptoms following complete recovery from acute infection with COVID-19. Termed as post-acute sequelae of SARS-CoV-2 syndrome (PASC), the underlying pathophysiology of PASC is still not well understood. Given the similarity between the clinical phenotypes of PASC and postural orthostatic tachycardia syndrome (POTS), it has been postulated that dysautonomia may play a role in the pathophysiology of PASC. However, there have been only a few studies that have examined autonomic function in PASC. In this retrospective study, we performed an analysis of autonomic nerve function testing in PASC patients and compared the results with those of POTS patients and healthy controls. Our results suggest that a significant number of PASC patients have abnormal autonomic function tests, and their clinical features are indistinguishable from POTS. [ABSTRACT FROM AUTHOR]

Simulation models are built on assumptions, approximations, and estimates. Repetitive long-term projects such as tunnel construction provide opportunities to finetune approximations based on input from actual project progress. Bayesian updating techniques are an effective approach for improving the quality of simulation input and output based on what has already been observed. This paper presents a case study in which Bayesian techniques were applied to a simulation model of an actual tunnel project, the North Edmonton Sanitary Trunk. The study shows that using Bayesian techniques greatly improves the quality of projections. The novelty of this work includes the enhancement of the application of Bayesian updating techniques, the demonstration of simulation applications with a fully monitored tunneling project, and the demonstration of the extent of improvement to planning predictions from the use of actual data and the Bayesian updating techniques. DOI: 10.1061/(ASCE)0733-9364(2006)132:8(882) CE Database subject headings: Bayesian analysis; Simulation; Tunneling; Excavation.

Microtunneling is a trenchless technology method used for installing new pipelines. The inherent advantages of this method over open-cut trenching have led to its increasing use since its first introduction into North America in the early 1980s. With this technology, surface disruption can be minimized, especially in urban areas, and high accuracy of installation (usually less than 2 cm over 100 m) can be achieved in both line and grade. But microtunneling machines are very expensive and few contractors have extensive experience with this technology. Microtunneling can also be risky when unexpected obstacles or soil changes occur. Careful constructability analysis is needed, and an appropriate microtunneling method should be selected in order to achieve successful completion of microtunneling projects. A computerized decision support system (DSS) for microtunneling was developed to support decision making for contractors who want to bid on microtunneling projects. This paper discusses the decision-making process for microtunneling and the development of the DSS. When the user enters basic information about the potential project such as drive length, installation depth, pipe diameter, and soil condition, the DSS evaluates whether microtunneling will be economically feasible and suggests appropriate types of microtunneling methods. The user can then select microtunneling machines, types of pipes, and types of shaft construction methods. This DSS is most beneficial when used at the preplanning stage by utility contractors. DOI: 10.1061/(ASCE)0733-9364(2004) 130:6(835) CE Database subject headings: Microtunneling; Economic factors; Soil conditions; Decision support systems; Pipelines.

A 2-day closed workshop was held in Liverpool, United Kingdom, to discuss the results of research concerning symptom-based disorders (SBDs) caused by autoantibodies, share technical knowledge, and consider future plans. Twenty-two speakers and 14 additional participants attended. This workshop set out to consolidate knowledge about the contribution of autoantibodies to SBDs. Persuasive evidence for a causative role of autoantibodies in disease often derives from experimental " passive transfer " approaches, as first established in neurological research. Here, serum immunoglobulin (IgM or IgG) is purified from donated blood and transferred to rodents, either systemically or intrathecally. Rodents are then assessed for the expression of phenotypes resembling the human condition; successful phenotype transfer is considered supportive of or proof for autoimmune pathology. Workshop participants discussed passive transfer models and wider evidence for autoantibody contribution to a range of SBDs. Clinical trials testing autoantibody reduction were presented. Cornerstones of both experimental approaches and clinical trial parameters in this field were distilled and presented in this article. Mounting evidence suggests that immunoglobulin transfer from patient donors often induces the respective SBD phenotype in rodents. Understanding antibody binding epitopes and downstream mechanisms will require substantial research efforts, but treatments to reduce antibody titres can already now be evaluated., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The International Association for the Study of Pain.)