The Impact of Experience in Service Virtualization on Travel Intention - The Case of Forbidden City Tour

The advent of Internet and home shopping economy in the recent years has reduced the intention of people to leave home for sightseeing. This has significantly impacted the growth of physical tourism industry. This paper utilizes the virtual tour of Forbidden City to conduct a sequence of experiments in tourism experience. Before using the system, Theory of Planned Behavior and Involvement are employed to measure the intention of traveling. After then, two constructs, emotion and system, are adopted to explore how the experiential value of virtual tourism impacts the intention of travelling. The experience of tour virtualization allows customers to create unforgettable feelings in the virtual world. It can affect not only the customer’s experiential value of virtual tourism, but also intention of traveling in the future

Epidemiology of digital amputation and replantation in Taiwan: A population-based study

AbstractBackgroundPublications on digital amputation and replantation have been mostly derived from case series in high-volume hand surgery practices, and epidemiological studies are few. This study used a population-based dataset to illustrate the incidence of digital amputation, patient and hospital characteristics, and their relationships with replantation.MethodsA claim for reimbursement dataset (2008) was provided as a research database by the Bureau of National Health Insurance, Taiwan. Patients with ICD-9-CM coded as digital amputation (885 and 886) were included. These were cross-referenced with procedure codes for replantation procedures (84.21 and 84.22). We defined the patients who underwent thumb replantation (84.21) and thumb amputation (84.01) during a single hospitalization as replantation failure. Patient and hospital characteristics were studied with statistical analysis.ResultsIn total, 2358 patients with digital amputation were admitted (1859 male, 499 female), mean age 39.2 ± 15.5 years. The incidence was 10.2/100,000 person–years. The highest incidence was 14.7/100,000 person–years in the age group 45–54 years. Machinery and powered hand tools caused 68.8% of digital amputations. Thumb amputation [odds ratio (OR): 1.35, p = 0.01], private hospital (OR: 1.40, p = 0.01), medical center (OR: 2.38, p < 0.001), regional hospital (OR: 2.41, p < 0.001) and hospitals with an annual volume >20 digital amputations (OR: 4.23, p < 0.001) were associated with higher attempt rates for replantation. Elderly patients (age >65 years) had higher risk of thumb replantation failure (OR: 32.30, p = 0.045), while hospitals with >20 annual replantations had lower risk (OR: 0.11, p = 0.02).ConclusionOur study of the National Health Insurance database characterized the epidemiology of digital amputation patients undergoing replantation and the facilities in Taiwan where these procedures are performed. The hospitals treating more digital amputation patients had higher attempt rates and lower thumb failure rates

Shape restricted regression with random Bernstein polynomials

Shape restricted regressions, including isotonic regression and concave regression as special cases, are studied using priors on Bernstein polynomials and Markov chain Monte Carlo methods. These priors have large supports, select only smooth functions, can easily incorporate geometric information into the prior, and can be generated without computational difficulty. Algorithms generating priors and posteriors are proposed, and simulation studies are conducted to illustrate the performance of this approach. Comparisons with the density-regression method of Dette et al. (2006) are included.Comment: Published at http://dx.doi.org/10.1214/074921707000000157 in the IMS Lecture Notes Monograph Series (http://www.imstat.org/publications/lecnotes.htm) by the Institute of Mathematical Statistics (http://www.imstat.org

Water Management Strategies on Campus: An integrated approach

Water resource management strategies at National Pingtung University of Science and Technology (NPUST) are orientated towards water conservation, efficient water use and wastewater reuse. Ground water is the main water source on the university campus and the affiliated Tajen and Baoli experimental forest farms. To promote ground water collection from surface runoff water, permeable pavement, and multiple ponds have been installed. To achieve efficient water use, less efficient appliances have incrementally been replaced by more water-efficient ones. This has proven to be a feasible and effective way to achieve goals without bringing about inconveniences to campus users. Drought-tolerant trees have been planted and drip irrigation systems utilized on campus farms to save water. Our water reuse strategies aim to achieve a fully-recycling, zero emission water treatment system. Treated domestic sewage, swimming pool water and harvested rainwater are reused for flushing toilets or watering plants. Many facilities on campus, such as the Laifu Garden, Jingsi Lake, Green Park, Yingxia Lake, and Tajen Forest Farm, are more than just beautiful scenic spots; they all play major parts in the circular water ecosystem.Keyword: Water management, water conservation, water recycling, wastewater treatmen

Mixed Fault Tolerance Protocols with Trusted Execution Environment

Blockchain systems are designed, built and operated in the presence of failures. There are two dominant failure models, namely crash fault and Byzantine fault. Byzantine fault tolerance (BFT) protocols offer stronger security guarantees, and thus are widely used in blockchain systems. However, their security guarantees come at a dear cost to their performance and scalability. Several works have improved BFT protocols, and Trusted Execution Environment (TEE) has been shown to be an effective solution. However, existing such works typically assume that each participating node is equipped with TEE. For blockchain systems wherein participants typically have different hardware configurations, i.e., some nodes feature TEE while others do not, existing TEE-based BFT protocols are not applicable. This work studies the setting wherein not all participating nodes feature TEE, under which we propose a new fault model called mixed fault. We explore a new approach to designing efficient distributed fault-tolerant protocols under the mixed fault model. In general, mixed fault tolerance (MFT) protocols assume a network of $n$ nodes, among which up to $f = \frac{n-2}{3}$ can be subject to mixed faults. We identify two key principles for designing efficient MFT protocols, namely, (i) prioritizing non-equivocating nodes in leading the protocol, and (ii) advocating the use of public-key cryptographic primitives that allow authenticated messages to be aggregated. We showcase these design principles by prescribing an MFT protocol, namely MRaft. We implemented a prototype of MRaft using Intel SGX, integrated it into the CCF blockchain framework, conducted experiments, and showed that MFT protocols can obtain the same security guarantees as their BFT counterparts while still providing better performance (both transaction throughput and latency) and scalability.Comment: 12 pages, 3 figure

Pain and Suffering Damages in Personal Injury Cases: An Empirical Study

Many jurisdictions award pain and suffering damages, yet it is difficult for judges or juries to quantify pain. Several jurisdictions, such as California, cap pain and suffering damages or other noneconomic damages, and legal scholars have proposed ways to control such damages. Reforms and proposals, however, have been based on limited empirical evidence. It remains an open question whether components of economic damages explain pain and suffering damages. This study employs a unique dataset of Taiwan district court cases and uses detailed information on the components of pecuniary damages. Pain and suffering damages highly correlate with the plaintiff’s medical expenses, level of injury, and the amount requested by the plaintiff. The association with the amount requested by the plaintiff persists when one accounts for the likely quantifiable influences on pain and suffering damages, evidence of a possible anchoring effect. The strong correlation between economic damages and noneconomic damages persists in a large U.S. dataset of judge and jury trials, in which the noneconomic fraction of total damages is no greater than the pain and suffering fraction of total damages in Taiwan. Judges and juries consistently produce coherent patterns of noneconomic damages

Profiling time course expression of virus genes---an illustration of Bayesian inference under shape restrictions

There have been several studies of the genome-wide temporal transcriptional program of viruses, based on microarray experiments, which are generally useful in the construction of gene regulation network. It seems that biological interpretations in these studies are directly based on the normalized data and some crude statistics, which provide rough estimates of limited features of the profile and may incur biases. This paper introduces a hierarchical Bayesian shape restricted regression method for making inference on the time course expression of virus genes. Estimates of many salient features of the expression profile like onset time, inflection point, maximum value, time to maximum value, area under curve, etc. can be obtained immediately by this method. Applying this method to a baculovirus microarray time course expression data set, we indicate that many biological questions can be formulated quantitatively and we are able to offer insights into the baculovirus biology.Comment: Published in at http://dx.doi.org/10.1214/09-AOAS258 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org