An UML-XML-RDB Model Mapping Solution for Facilitating Information Standardization and Sharing

Abstract: To facilitate information standardization and sharing in Construction Industry, this paper presents a simple but effective approach that maps the UML (Unified Modeling Language) object-oriented information model related to a construction project to an XML schema, then to a Relational DataBase (RDB) schema. First of all, the mapping between UML model and XML schema is discussed since UML has been a popular tool to model the static structure and dynamic behaviors of the information and processes in a construction project, while XML has become a de-facto standard for information sharing and exchange. Then, a set of consistent rules for mapping from XML schema to RDB's Entity-Relational (E-R) model are studied and established since RDB has been the most popular choice for information management. The present study focuses on making the set of rules simple and easy-to-implement for most applications in construction industry. Finally, a mapping tool for automatically generating RDB schemas from XML Schemas is developed

On Computer-Aided Instruction Tools for Teaching College Engineering Mechanics Related Courses

In this research, questionnaires are designed to survey among teachers and students the current situation of applying Computer-Aided Instruction (CAI) tools to teaching and learning of college engineering mechanics related courses in Taiwan. The needs for CAI tools for teaching these mechanics related courses are investigated in the survey. Several prototypes of interactive multimedia tools are designed and implemented using information technologies. The applicability and effectiveness of these tools on assisting teaching of engineering mechanics related courses are discussed and evaluated. Moreover, a website for managing and sharing collected and developed CAI resources is constructed

Rapid identification of Mycobacterium tuberculosis infection by a new array format-based surface plasmon resonance method

Tubercle bacillus [TB] is one of the most important chronic infectious diseases that cause millions of deaths annually. While conventional smear microscopy and culture methods are widely used for diagnosis of TB, the former is insensitive, and the latter takes up to 6 to 8 weeks to provide a result, limiting the value of these methods in aiding diagnosis and intermediate decisions on treatment. Therefore, a rapid detection method is essential for the diagnosis, prognosis assessment, and recurrence monitoring. A new surface plasmon resonance [SPR] biosensor based on an array format, which allowed immobilizing nine TB antigens onto the sensor chip, was constructed. Simultaneous determination of multiple TB antibodies in serum had been accomplished with this array-based SPR system. The results were compared with enzyme-linked immunosorbent assay, a conventional immunological method. Array-based SPR showed more advantages in providing label-free and real-time detection. Additionally, the high sensitivity and specificity for the detection of TB infection showed its potential for future development of biosensor arrays for TB diagnosis

Fabrication of multianalyte CeO2 nanograin electrolyte–insulator–semiconductor biosensors by using CF4 plasma treatment

Multianalyte CeO2 biosensors have been demonstrated to detect pH, glucose, and urine concentrations. To enhance the multianalyte sensing capability of these biosensors, CF4 plasma treatment was applied to create nanograin structures on the CeO2 membrane surface and thereby increase the contact surface area. Multiple material analyses indicated that crystallization or grainization caused by the incorporation of flourine atoms during plasma treatment might be related to the formation of the nanograins. Because of the changes in surface morphology and crystalline structures, the multianalyte sensing performance was considerably enhanced. Multianalyte CeO2 nanograin electrolyte–insulator–semiconductor biosensors exhibit potential for use in future biomedical sensing device applications

An in situ study on the coalescence of monolayer-protected Au-Ag nanoparticle deposits upon heating

The structural evolution of thiolate-protected nanoparticles of gold, silver, and their alloys with various Au/Ag ratios (3:1, 1:1, and 1:3) upon heating was investigated by means of in situ synchrotron radiation X-ray diffraction. The relationships between the coalescence and composition of nanoparticles, as well as the surfactant reactions, were clarified. Experimental results show that there existed a critical temperature ranging from 120°C to 164°C, above which the tiny broad X-ray diffraction peaks became sharp and strong due to particle coalescence. The coalescence temperatures for alloy nanoparticle deposits were clearly lower than those for pure metals, which can be ascribed to the rivalry between the thermodynamic effect due to alloying and the interactions between surface-assembled layers and the surface atoms of the nanoparticles. The strong affinity of thiolates to Ag and thus complex interactions give rise to a greater energy barrier for the coalescence of nanoparticles into the bulk and subsequent high coalescence temperature. The influences of particle coalescence on the optical and electrical properties of the nanoparticle deposits were also explored

Systematic Design of Myopic Ophthalmic Lens

[[abstract]]The aim of this research is to design a myopic ophthalmic lens by using ZEMAX optical design software. The myopic ophthalmic lens is designed by integrating the effects of myopic eyes. The first design started from adjusting the design of purely using lens making formula by ZEMAX’s simulation,named “eyeglass 1” of -0.93D myopic ophthalmic lens for -1D myopia . It then shows that the lighter power of the myopic ophthalmic lens is more suitable for the -1D myopia. This verifies that spectacle design should take into account the effects combined effects of the ophthalmic lens and the eye. If the lens is viewed to match the three configurations named far, middle, and near view points according to the human eye structure, an aspheric surface is introduced to the lens “named eyeglass 2”, which gives more freedom to correct the aberrations. At the end of this study, we show that the choice of “far distance” gives an even more suitable ophthalmic lens for myopia, and this is shown by “eyeglass 3 & 4”. The MTF values show that it is about 0.3 when spatial frequency is 83lp/mm “20/20 vision”

Interpretable estimation of the risk of heart failure hospitalization from a 30-second electrocardiogram

Survival modeling in healthcare relies on explainable statistical models; yet, their underlying assumptions are often simplistic and, thus, unrealistic. Machine learning models can estimate more complex relationships and lead to more accurate predictions, but are non-interpretable. This study shows it is possible to estimate hospitalization for congestive heart failure by a 30 seconds single-lead electrocardiogram signal. Using a machine learning approach not only results in greater predictive power but also provides clinically meaningful interpretations. We train an eXtreme Gradient Boosting accelerated failure time model and exploit SHapley Additive exPlanations values to explain the effect of each feature on predictions. Our model achieved a concordance index of 0.828 and an area under the curve of 0.853 at one year and 0.858 at two years on a held-out test set of 6,573 patients. These results show that a rapid test based on an electrocardiogram could be crucial in targeting and treating high-risk individuals.Comment: 4 pages, 4 figure

Quarantine for SARS, Taiwan

Quarantine for SARS during the 2003 Taiwan outbreak expedited case detection, thereby indirectly preventing infections

18F-FDG PET/CT-based gross tumor volume definition for radiotherapy in head and neck Cancer: a correlation study between suitable uptake value threshold and tumor parameters

<p>Abstract</p> <p>Background</p> <p>To define a suitable threshold setting for gross tumor volume (GTV) when using ¹⁸Fluoro-deoxyglucose positron emission tomography and computed tomogram (PET/CT) for radiotherapy planning in head and neck cancer (HNC).</p> <p>Methods</p> <p>Fifteen HNC patients prospectively received PET/CT simulation for their radiation treatment planning. Biological target volume (BTV) was derived from PET/CT-based GTV of the primary tumor. The BTVs were defined as the isodensity volumes when adjusting different percentage of the maximal standardized uptake value (SUVmax), excluding any artifact from surrounding normal tissues. CT-based primary GTV (C-pGTV) that had been previously defined by radiation oncologists was compared with the BTV. Suitable threshold level (sTL) could be determined when BTV value and its morphology using a certain threshold level was observed to be the best fitness of the C-pGTV. Suitable standardized uptake value (sSUV) was calculated as the sTL multiplied by the SUVmax.</p> <p>Results</p> <p>Our result demonstrated no single sTL or sSUV method could achieve an optimized volumetric match with the C-pGTV. The sTL was 13% to 27% (mean, 19%), whereas the sSUV was 1.64 to 3.98 (mean, 2.46). The sTL was inversely correlated with the SUVmax [sTL = -0.1004 Ln (SUVmax) + 0.4464; R²= 0.81]. The sSUV showed a linear correlation with the SUVmax (sSUV = 0.0842 SUVmax + 1.248; R²= 0.89). The sTL was not associated with the value of C-pGTVs.</p> <p>Conclusion</p> <p>In PET/CT-based BTV for HNC, a suitable threshold or SUV level can be established by correlating with SUVmax rather than using a fixed threshold.</p