Analysis of user requirement on U-Healthcare system

Abstract The objective of this study was to explore and connect the relation between independent variables of Health Promotion Model (HPM) and customers" demand for developing ubiquitous healthcare (u-Healthcare) system and then, to suggest the methods applicable to the system design. After identifying performance levels and influence coefficients of every variables and applying them to Quality Function Deployment (QFD) to find out the relation between the requirements and customers" demand of u-Healthcare System, it sets the main goal in determining what are important system characteristics for effective quality improvement. First, it applied structural equation modeling (SEM) to search for multiple independent variables influencing user"s intention. Second, with the findings, this study has also its significance in suggesting techniques applicable to the u-Healthcare system development using QFD. Concretely, by investigating u-Healthcare users" direct requirement attributes and extracting u-Healthcare system service characteristics with customer requirement reflected by using QFD model, this study figured out the order of priority in the importance of system characteristics that must be dealt with most importantly. As a result of analysis, this study proposed an application method of QFD to satisfy customer requirements for the development of u-Healthcare system. Finally, the result could give important features to improve users" requirements by using this process

23-Valent Polysaccharide Vaccine (PPSV23)-Targeted Serotype-Specific Identification Of Streptococcus Pneumoniae using the Loop-Mediated Isothermal Amplification (LAMP) Method

Reports of invasive disease due to Streptococcus pneumoniae have declined since the introduction of pneumococcal conjugate vaccines (PCV7 and PCV13). The incidence of invasive diseases due to S. pneumoniae that are not addressed by the vaccines, however, has increased in children and adults, creating a global public health problem. Previously, we established the loop-mediated isothermal amplification (LAMP) method for a PCV13 serotype-specific assay. In the current study, we developed a rapid, simple, and cost-effective assay to detect serotypes in the 23-valent pneumococcal polysaccharide vaccine (PPSV23) using the LAMP method. In this study, LAMP primer sets for serotypes 2, 8, 9N, 10A, 11A, 12F, 15B, 17F, 20, 22F, and 33F of S. pneumoniae were developed. The reactivity, specificity, and sensitivity of LAMP assays were determined and compared to those of conventional PCR. The feasibility of LAMP assays in clinical application in patients with invasive pneumococcal diseases was validated by defining the detection limit of the LAMP assay with bacterial genomic DNA-spiked blood specimens. The specificity of each LAMP assay was determined using 44 serotypes of pneumococcal strains. Their sensitivity was 100 copies per reaction versus 103 to 106 copies per reaction for PCR assays. Using DNA-spiked blood specimens, excluding the LAMP assay that targeted serotype 22F (103 copies per reaction), the limit of detection of the LAMP assay was similar to that with purified DNA as the template (102 copies per reaction), compared with 103 to \u3e 106 copies per reaction for PCR assays. In conclusion, a rapid and simple LAMP-based PPSV23-targeted serotype detection assay was developed for use in many countries. This study is the first report of a LAMP-based assay for identification of PPSV23 serotypes. Further evaluation of this assay is needed through surveillance and vaccine efficacy studies

Postoperative Segmental Motion up to 1 Year Following Single-Level Anterior Cervical Discectomy and Fusion: Plate versus Non-plate

Study Design Retrospective observational study. Purpose This study aimed to investigate the impact of plating on postoperative serial segmental motion and its correlation with clinical outcomes in single-level anterior cervical discectomy and fusion (ACDF) for up to 1 year. Overview of Literature The advantages and disadvantages of using cervical plating in ACDF have been well discussed; however, few studies compared the early serial segmental motions at the postoperative level between plating and non-plating. Methods In retrospectively collected data, 149 patients who underwent single-level ACDF for degenerative disease were enrolled and divided into non-plating (n=66) and plating (n=83). Interspinous motion (ISM) at the arthrodesis segment, Numeric Rating Scale (NRS) for neck pain, and Neck Disability Index (NDI) were serially evaluated at 3, 6, and 12 months postoperatively. Predictable factors for fusion, including age, sex, plating, diabetes, smoking, and type of grafts, were investigated, and fusion was defined as ISM <1 mm. Results In both groups, ISM was the highest at 3 months and gradually decreased thereafter, and the plating group showed significantly lower serial ISM than the non-plating group at 12 months. The plating group had lower NRS and NDI scores than the non-plating group at 12 months, and the difference in the NRS scores was statistically significant, particularly at 3 and 6 months, although that of the NDI scores was not. In a multivariate analysis, plating was the most powerful predictor for fusion. Conclusions Plating significantly decreases the serial ISM compared with non-plating in single-level ACDF, and such decreased motion is correlated with decreased neck pain until 12 months postoperatively, particularly at 3 and 6 months. Given that plating was the most predictive factor for fusion, we recommend plating even in single-level ACDF for better early clinical outcomes

Fault Tolerant Matrix Operations for Parallel and Distributed Systems

With the proliferation of parallel and distributed systems, it is an increasingly important problem to render parallel applications fault-tolerant because such applications are more prone to failures with an increasing number of processors. This dissertation explores fault tolerance in a wide variety of matrix operations for parallel and distributed scientific computing. It proposes a novel computing paradigm to provide fault tolerance for numerical algorithms. This fault-tolerant computing paradigm relies on checkpointing and rollback recovery using processor and memory redundancy. The paradigm is an algorithm-based approach, in which fault tolerance techniques are tailored into each numerical algorithm without redesigning the algorithm and replicating the processes. The paradigm tolerates the changing and failure-prone nature of a computing platform, thereby allowing users to run their parallel codes dynamically and efficiently. This dissertation describes the fault-tolerant implemen..

Fault Tolerant Matrix Operations for Networks of Workstations Using Multiple

Recently, an algorithm-based approach using diskless checkpointing has been developed to provide fault tolerance for high-performance matrix operations. With this approach, since fault tolerance is incorporated into the matrix operations, the matrix operations become resilient to any single processor failure or change with low overhead. In this paper, we present a technique called multiple checkpointing to enable the matrix operations to tolerate a certain set of multiple processor failures by adding the capacity for multiple checkpointing processors. The results on a network of workstations have shown that this technique improves not only the reliability of the computation but also the performance of checkpointing. 1

A Survey on Deep Learning Based Methods and Datasets for Monocular 3D Object Detection

Owing to recent advancements in deep learning methods and relevant databases, it is becoming increasingly easier to recognize 3D objects using only RGB images from single viewpoints. This study investigates the major breakthroughs and current progress in deep learning-based monocular 3D object detection. For relatively low-cost data acquisition systems without depth sensors or cameras at multiple viewpoints, we first consider existing databases with 2D RGB photos and their relevant attributes. Based on this simple sensor modality for practical applications, deep learning-based monocular 3D object detection methods that overcome significant research challenges are categorized and summarized. We present the key concepts and detailed descriptions of representative single-stage and multiple-stage detection solutions. In addition, we discuss the effectiveness of the detection models on their baseline benchmarks. Finally, we explore several directions for future research on monocular 3D object detection

Phylogeny of Magnoliaceae based on ten chloroplast DNA regions

Phylogenetic analyses of ten chloroplast DNA regions, ndhF, rbcL, matK, ORF350, trnL intron, trnL-trnF, trnH-psbA, rbcL-atpB, trnK 5' intron, and trnK 3' intron #8,719 bp in aligned sequences# from 48 selected taxa were carried out to address phylogenetic questions in the family Magnoliaceae. The major clades in the molecular tree are considerably different from the currently suggested classification system and from the traditionally recognized subgroups in the family. Eleven major clades were recognized with strong support in the subfamily Magnolioideae: #1# MICHELIA clade: Michelia, Elmerrillia, sect. Maingola, sect. Alcimandra, and sect. Aromadendron, #2# YULANIA clade: subgen. Yulania, #3# GYNOPODIUM clade: Pachylarnax, sect. Manglietiastrum, and sect. Gynopodium, #4# KMERIA clade: Kmeria, #5# THEORHODON clade: sect. Theorhodon sensu stricto #excluding sect. Splendentes, which was recently separated from sect. Theorhodon# and sect. Magnolia, #6# GWILLIMIA clade: sect. Gwillimia, sect. Lirianthe, and sect. Blumiana, #7# TALAUMA clade: sect. Talauma and sect. Splendentes, #8# MANGLIETIA clade: Manglietia, #9# RYTIDOSPERMUM clade: sect. Rytidospermum sensu stricto #excluding Magnolia fraseri, M. macrophylla, and M. dealbata# and sect. Oyama, #10# FRASERI clade: M. fraseri, and #11# MACROPHYLLA clade: M. macrophylla and M. dealbata. The recognition of eleven major clades in the subfamily Magnolioideae in this study is in good agreement with previous molecular studies based on less sampling or fewer DNA regions. All of these eleven clades were highly supported with bootstrap values exceeding 80% in both maximum parsimony and maximum likelihood analyses and with posterior probabilities exceeding 0.98 in a Bayesian analysis. However, detailed relationships among the major clades were weakly supported. The molecular data suggest that the taxonomic circumscription of infrafamilial delimitations and compositions should be reconsidered.OAIID:oai:osos.snu.ac.kr:snu2013-01/102/0000002126/1SEQ:1PERF_CD:SNU2013-01EVAL_ITEM_CD:102USER_ID:0000002126ADJUST_YN:YEMP_ID:A002208DEPT_CD:371CITE_RATE:.99DEPT_NM:제약학과SCOPUS_YN:YCONFIRM: