Christoph Sydora

Bio: Christoph Sydora is an academic researcher from University of Alberta. The author has contributed to research in topics: Generative Design & Information model. The author has an hindex of 5, co-authored 13 publications receiving 71 citations.

Patient characteristics, menopause symptoms, and care provided at an interdisciplinary menopause clinic: retrospective chart review.

Abstract: OBJECTIVE The goal of this study was to describe the characteristics, menopause symptoms, and treatment progressions in women cared for at an interdisciplinary menopause clinic. METHODS We conducted a retrospective review of patient charts from women attending a multidisciplinary menopause clinic. Data collected from the charts included patient demographics, menopause symptoms, other concurrent medical conditions, and treatment recommendations. Data were entered into Research Electronic Data Capture database and analyzed descriptively. Generic symptom severity questionnaires were used to compare severity scores from initial to follow-up visits. RESULTS Among the 198 women (mean age 52.1 y [±SD 6.3], 63.6% postmenopausal), the most common moderate/severe menopause symptoms were as follows: difficulty staying asleep or waking frequently (76.3%), tiredness (73.7%), and lack of interest in sex (60.1%). Women tended to have complex chronic medical conditions, with 54.5% suffering from four or more concurrent medical conditions. The majority of women (70.2%) were recommended various forms of hormone therapy. Women with a follow-up visit at 3 to 4 months reported a reduction in symptom severity. CONCLUSIONS Our study addresses a gap in published information on patient characteristics and treatment in menopause-specific interdisciplinary clinics. The chart review highlights the variety of symptom experience and complexity of care faced in a menopause clinic. Rigorous prospective studies including standardized data collection and follow-up are needed to help guide clinicians in managing complex menopause patients.

Critical lifting simulation of heavy industrial construction in gaming environment

Abstract: Heavy industrial construction often relies on large mobile cranes to erect equipment and pre-assembled modules. Engineering calculations are required for the lifting analysis where lifting capacity is analyzed to ensure the feasibility of the lifting scenarios. Such engineering calculations are often presented in static formats, e.g. two-dimensional or three-dimensional models. However, it is difficult to help practitioners (e.g. lifting engineers, site crews and operators) understand the complexity of the lifting process and thus operational decisions are often made intuitively. Therefore, this paper aims to introduce a game-based simulation system to allow for interactive analysis of the lifting process to improve lifting efficiency and safety.,The proposed method treats the mobile crane as a robot with degree-of-freedoms, and the movements are simulated in the Unity game environment. The lifting capacity is calculated dynamically based on the lifting object weight, rigging weight and lifting radius.,Compared with the four-dimensional visualization, this development has added a dimension of real-time interactive simulation; this allows the users to understand the complexity and feasibility of the lifting process.,The developed prototype has been tested and validated using a real case study from a heavy industrial project with the possibility of generalizing crane lifting configurations.

Computer vision : a modern approach = 计算机视觉 : 一种现代的方法

Abstract: From the Publisher: The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

A Systematic Review of Digital Technology Adoption in Off-Site Construction: Current Status and Future Direction towards Industry 4.0

Abstract: Off-site construction (OSC) is known as an efficient construction method that could save time and cost, reduce waste of resources, and improve the overall productivity of projects. Coupled with digital technologies associated with the Industry 4.0 concept, OSC can offer a higher rate of productivity and safety. While there is a rich literature focusing on both OSC and Industry 4.0, the implementation of associated digital technologies in the OSC context has not been fully evaluated. This paper intends to evaluate the current literature of digital technology applications in OSC. Scientometric analyses and a systematic review were carried out evaluating fifteen typical digital technologies adopted by OSC projects, including building information modelling (BIM), radio frequency identification devices (RFID), global positioning systems (GPS), the Internet of Things (IoT), geographic information systems (GIS), sensors, augmented reality (AR), virtual reality (VR), photogrammetry, laser scanning, artificial intelligence (AI), 3D printing, robotics, big data, and blockchain. This review formulates a clear picture of the current practice of these digital technologies and summarizes the main area of application and limitations of each technology when utilized in OSC. The review also points out their potential and how they can be better adopted to improve OSC practice in the future.