Development of an Omnidirectional-Image-Based Data Model through Extending the IndoorGML Concept to an Indoor Patrol Service

Different indoor representation methods have been studied for their ability to provide indoor location-based services (LBS). Among them, omnidirectional imaging is one of the most typical and simple methods for representing an indoor space. However, a georeferenced omnidirectional image cannot be used for simple attribute searches, spatial queries, and spatial awareness analyses. To perform these functions, topological data are needed to define the features of and spatial relationships among spatial objects including indoor spaces as well as facilities like CCTV cameras considered in patrol service applications. Therefore, this study proposes an indoor space application data model for an indoor patrol service that can implement functions suited to linking indoor space data and service objects. In order to do this, the study presents a method for linking data between omnidirectional images representing indoor spaces and topological data on indoor spaces based on the concept of IndoorGML. Also, we conduct an experimental implementation of the integrated 3D indoor navigation model for patrol service using GIS data. Based on the results, we evaluate the benefits of using such a 3D data fusion method that integrates omnidirectional images with vector-based topological data models based on IndoorGML for providing indoor LBS in built environments

Wolff-Parkinson-White Syndrome in a Patient With Mitochondrial Encephalopathy, Lactic Acidosis and Stroke-Like Episodes Syndrome

Mitochondrial encephalopathy, lactic acidosis and stroke-like episodes (MELAS) syndrome is a multisystem disorder, which is clinically characterized by encephalopathy, dementia, seizures and stroke-like episodes. Multiple organs can be affected and cardiac involvement often dominates the clinical picture because of its high energy requirement. We report a case of a 21-year-old woman with MELAS syndrome who had pre-excitation ECG and one episode of tachycardia attack

Bias-free solar hydrogen production at 19.8???mA???cm???2 using perovskite photocathode and lignocellulosic biomass

Solar hydrogen production is one of the ultimate technologies needed to realize a carbon-neutral, sustainable society. However, an energy-intensive water oxidation half-reaction together with the poor performance of conventional inorganic photocatalysts have been big hurdles for practical solar hydrogen production. Here we present a photoelectrochemical cell with a record high photocurrent density of 19.8???mA???cm???2 for hydrogen production by utilizing a high-performance organic???inorganic halide perovskite as a panchromatic absorber and lignocellulosic biomass as an alternative source of electrons working at lower potentials. In addition, value-added chemicals such as vanillin and acetovanillone are produced via the selective depolymerization of lignin in lignocellulosic biomass while cellulose remains close to intact for further utilization. This study paves the way to improve solar hydrogen productivity and simultaneously realize the effective use of lignocellulosic biomass

Response of Lipoxygenase Expression to Wounding and Methyl Jasmonate in Soybean Leaves

Lipoxygenases (LOXs) are enzymes which catalyze the peroxidation of polyunsaturated fatty acids. They function in development, growth and response to pathogenic attack including mechanical wounding. There are multiple isozymes of LOX in soybean. It has been reported that each isozyme has a distinct function in different stages of growth. Studies have shown that the expression of some isoforms of LOX is enhanced after wounding or treatment with jasmonic acid (JA) or methyl jasmonate (MJ), a mediator of plant defense mechanism. This project investigated the relationship between wounding, MJ treatment and expression of LOX isoenzymes including LOX10 using Quantitative Polymerase Chain Reaction. Soybean plants were raised in a growth chamber. When the plants reached the bifoliate stage, two sets of experimental plants were used. One set was wounded by crimping the leaves with a clamp. The other set was not wounded. Both sets of experimental plants were sealed in an aquarium containing MJ vapor. Control plants were sealed in an aquarium with no MJ. Leaves were harvested at 0, 3, 6, and 24 hours after treatment. RNA was isolated from the samples using an RNeasy Plant Minikit from Qiagen. RNA quantities were estimated from the absorbance at 260nm. A High-Capacity cDNA Reverse Transcription kit from Applied Biosystems was used to make cDNA copies of the mRNAs. Relative quantities of the LOX mRNA were measured by qPCR on a Plus One Real-Time PCR System from Applied Biosystems. SYBR green was used to detect the PCR products

GIS-based geocoding methods for area-based addresses and 3D addresses in urban areas

For more than four decades, two address-matching methods, the street-based address geocoding method and address-point-matching method, have been used to identify geographical coordinates from postal addresses. However, street-based address geocoding methods developed for the US addressing system are not universally applicable in developing a single-portal geocoding middleware for worldwide Internet-based geographic information systems applications. Problems also exist with address-point matching especially in its capability to identify features and incorporate 3D locational data from 3D addresses for analysis of large public buildings, shopping centers or metro-subways, that exist in urban environments. To alleviate these problems, this paper details two alternative address-matching methods, an area-based address geocoding method and a 3D address geocoding method. The area-based address geocoding method is a 2D positioning method based on a 2D area-based address-matching technique. The 3D address geocoding method is based on a universally applicable 3D address-geocoding technique. To elaborate, this paper introduces (1)�a BlockObject model and designs reference databases for an area-based address system, (2)�a 3D indoor network model representing the internal structures of urban environment, and (3)�a 3D address geocoding algorithm based on a 3D indoor geocoding method. To illustrate the benefits of the 3D address-positioning method, this paper implements 3D indoor navigation to define optimal routes within a single building.

Developing a Tile-Based Rendering Method to Improve Rendering Speed of 3D Geospatial Data with HTML5 and WebGL

A dedicated plug-in has been installed to visualize three-dimensional (3D) city modeling spatial data in web-based applications. However, plug-in methods are gradually becoming obsolete, owing to their limited performance with respect to installation errors, unsupported cross-browsers, and security vulnerability. Particularly, in 2015, the NPAPI service was terminated in most existing web browsers except Internet Explorer. To overcome these problems, the HTML5/WebGL (next-generation web standard, confirmed in October 2014) technology emerged. In particular, WebGL is able to display 3D spatial data without plug-ins in browsers. In this study, we attempted to identify the requirements and limitations of displaying 3D city modeling spatial data using HTML5/WebGL, and we propose alternative ways based on the bin-packing algorithm that aggregates individual 3D city modeling data including buildings in tile units. The proposed method reduces the operational complexity and the number and volume of transmissions required for rendering processing to improve the speed of 3D data rendering. The proposed method was validated on real data for evaluating its effectiveness in 3D visualization of city modeling data in web-based applications

The Safety Climate and Patient Safety Activities in Mental Health Nurses: The Mediating Effect of Safety Control

This study aimed to investigate the mediating effect of safety control on the relationship between safety climate and patient safety management activities for mental health nurses. A survey was conducted on 177 nurses working at mental hospitals in G-do from 28 July 2023 to 15 August 2023. Data were analyzed using the SPSS/WIN 27.0 and Sobel test. Significant relationships were found between safety climate and safety control (r = 0.40, p p p p < 0.001). Therefore, programs that increase safety control and create a safety climate need to be developed to promote patient safety activities of mental health nurses