BaySize: Bayesian Sample Size Planning for Phase I Dose-Finding Trials

We propose BaySize, a sample size calculator for phase I clinical trials using Bayesian models. BaySize applies the concept of effect size in dose finding, assuming the MTD is defined based on an equivalence interval. Leveraging a decision framework that involves composite hypotheses, BaySize utilizes two prior distributions, the fitting prior (for model fitting) and sampling prior (for data generation), to conduct sample size calculation under desirable statistical power. Look-up tables are generated to facilitate practical applications. To our knowledge, BaySize is the first sample size tool that can be applied to a broad range of phase I trial designs

Analyzing the Economic Sustainability of Tourism Development: Evidence from Hong Kong

Despite increased concerns about the negative economic impacts of tourism on host communities, insufficient attention has been paid to assess tourism economic sustainability. This paper aims to develop and validate a framework for assessing economic sustainability from the perspective of local stakeholders. In-depth interviews with 12 major stakeholders and a telephone survey with 1839 Hong Kong citizens were conducted. The tourism economic sustainability construct consisted of three dimensions: economic positivity, development control and individual welfare. The reliability and validity of the dimensions were confirmed by the data of sub-samples. The links between socio-demographic characteristics and attitudes toward tourism economic sustainability were evaluated. This paper enhanced our understanding of tourism economic sustainability by expanding the measurement from the macro level to micro level. Using the study setting in Hong Kong, it transcends previous analysis by providing a context to learn from ongoing controversies about the effects of tourism on host community

Significant decrease of maternal mitochondria carryover using optimized spindle-chromosomal complex transfer.

Mutations in mitochondrial DNA (mtDNA) contribute to a variety of serious multi-organ human diseases, which are strictly inherited from the maternal germline. However, there is currently no curative treatment. Attention has been focused on preventing the transmission of mitochondrial diseases through mitochondrial replacement (MR) therapy, but levels of mutant mtDNA can often unexpectedly undergo significant changes known as mitochondrial genetic drift. Here, we proposed a novel strategy to perform spindle-chromosomal complex transfer (SCCT) with maximal residue removal (MRR) in metaphase II (MII) oocytes, thus hopefully eliminated the transmission of mtDNA diseases. With the MRR procedure, we initially investigated the proportions of mtDNA copy numbers in isolated karyoplasts to those of individual oocytes. Spindle-chromosomal morphology and copy number variation (CNV) analysis also confirmed the safety of this method. Then, we reconstructed oocytes by MRR-SCCT, which well developed to blastocysts with minimal mtDNA residue and normal chromosomal copy numbers. Meanwhile, we optimized the manipulation order between intracytoplasmic sperm injection (ICSI) and SCC transfer and concluded that ICSI-then-transfer was conducive to avoid premature activation of reconstructed oocytes in favor of normal fertilization. Offspring of mice generated by embryos transplantation in vivo and embryonic stem cells derivation further presented evidences for competitive development competence and stable mtDNA carryover without genetic drift. Importantly, we also successfully accomplished SCCT in human MII oocytes resulting in tiny mtDNA residue and excellent embryo development through MRR manipulation. Taken together, our preclinical mouse and human models of the MRR-SCCT strategy not only demonstrated efficient residue removal but also high compatibility with normal embryo development, thus could potentially be served as a feasible clinical treatment to prevent the transmission of inherited mtDNA diseases

Mitigating Mortality Anxiety: Identifying Heritage Tourism’s Role in Terror Management

Although terror management theory has been widely studied, little research has empirically examined whether travel functions as a terror management mechanism. Thus, the present research investigated the influence of mortality anxiety on heritage tourism preference and heritage protection intention through two studies. Study 1 shows that as individuals\u27 general mortality anxiety increases, their tendency to search for meaning in life increases, which fosters their heritage travel preference and heritage protection intention. Study 2, using an experimental method, reveals a causal relationship where incidentally increasing mortality anxiety increases heritage travel preference and heritage protection intention. In addition, this causal relationship is prominent for people with higher legacy beliefs. These findings shed light on the critical roles of the search for meaning in life and legacy belief in the links between mortality anxiety and heritage-related behavior

sj-docx-1-jtr-10.1177_00472875231200494 – Supplemental material for When Essence is Lost: The Consequences of Commercialization in Historical Towns

Supplemental material, sj-docx-1-jtr-10.1177_00472875231200494 for When Essence is Lost: The Consequences of Commercialization in Historical Towns by Jiaying Lyu, Yi Huang and Lili Wang in Journal of Travel Research</p

Big data in action: an overview of big data studies in tourism and hospitality literature

Tourism research has marched into the big data arena and brought remarkable developments. Despite the promising role of big data and increasing volume of research, it is worth noting that current big data research in the tourism and hospitality field is rather vague or insufficient, particularly from the perspectives of its philosophical grounding, methodological approaches, and implications. This article aims to provide a comprehensive review of big data research from the tourism and hospitality literature. A content analysis of 146 big-data-related articles identifies the research and methodological trends in these fields. The findings reveal that big data have expanded the scope of tourism research. It offers useful and practical knowledge for destination, hotel, revenue, and reputation management. However, big data research is rather limited in methodologies, and there is a need for more solid theoretical and philosophical footings for significant knowledge generation

Tourism and Development in Developing Economies: A Policy Implication Perspective

Tourism is considered a competent driver of development in emerging economies. This study assesses the role of tourism in shaping the fundamental pillars of development in developing economies by targeting the case of Pakistan. Various econometric techniques and approaches were used to investigate the causal relationships of tourism with economic growth, energy and agriculture development, and poverty. This study highlights the important role of tourism in the development of emerging economies. The findings of our study suggest that a 1% increase in tourism significantly enhances gross domestic product (GPD) by 0.051%, foreign direct investment by 2.647%, energy development by 0.134%, and agriculture development by 0.26%, and reduces poverty by 0.51% in the long run. Hence, policy-makers should be informed that through public interventions, tourism can advance development by the design and implementation of integrated policies in developing economies. In addition, policy consistency and coherence are essential for competitiveness, sustainability, and maximizing benefits from tourism