Increasing Coverage of Hepatitis B Vaccination in China: A Systematic Review of Interventions and Implementation Experiences.

This study used a system evaluation method to summarize China's experience on improving the coverage of hepatitis B vaccine, especially the strategies employed to improve the uptake of timely birth dosage. Identifying successful methods and strategies will provide strong evidence for policy makers and health workers in other countries with high hepatitis B prevalence.We conducted a literature review included English or Chinese literature carried out in mainland China, using PubMed, the Cochrane databases, Web of Knowledge, China National Knowledge Infrastructure, Wanfang data, and other relevant databases.Nineteen articles about the effectiveness and impact of interventions on improving the coverage of hepatitis B vaccine were included. Strong or moderate evidence showed that reinforcing health education, training and supervision, providing subsidies for facility birth, strengthening the coordination among health care providers, and using out-of-cold-chain storage for vaccines were all important to improving vaccination coverage.We found evidence that community education was the most commonly used intervention, and out-reach programs such as out-of-cold chain strategy were more effective in increasing the coverage of vaccination in remote areas where the facility birth rate was respectively low. The essential impact factors were found to be strong government commitment and the cooperation of the different government departments.Public interventions relying on basic health care systems combined with outreach care services were critical elements in improving the hepatitis B vaccination rate in China. This success could not have occurred without exceptional national commitment

The ‘responsibility’ factor in imagining the future of education in China

Design and creativity have been a considerable force for improving life conditions. A lot of effort has been invested in explaining the design process and creativity mainly through the design thinking methodology, but design accountability and responsible actions in the design process are, yet, to be fully explored. The concept of design ethics is now increasingly scrutinized on both the level of business organization and of the individual designer. A 4-day design workshop that involved creativity techniques provided the base to explore responsibility in the fuzzy front end of the design process. The future of education in 2030 was defined as the workshop's theme and fifty-six students from China were asked to create detailed alternative scenarios. A number of imagination exercises, implementation of technological innovations and macro-environment evolutions employed in the workshop are discussed. The aim was to incite moral and responsible actions among students less familiar with creative educational contexts of student-led discovery and collaborative learning. This paper reflects on the use of creativity methods to stimulate anticipation in (non)design students

Reform of Digital Economy Innovation and Entrepreneurship Curriculum Education

Due to the application of digital technologies such as cloud computing, big data, the Internet of Things, artificial intelligence, and blockchain, digital industries such as intelligent transportation, smart energy, smart manufacturing, and smart homes have emerged. These changes have had a structural impact on the job market. The current education system urgently needs to make adaptive adjustments in cultivating students' digital economy innovation and entrepreneurship abilities, including curriculum design, teaching methods, and practical opportunities. This article is based on the background of the digital economy and the current situation of education, proposing the needs of educational reform, and constructing a curriculum design to cultivate students' innovation and entrepreneurship abilities and adapt to the digital economy employment market

Disintermediation and co-opetition in platform ecosystems and modern value chains

textThis dissertation investigates partial disintermediation and co-opetition in platform-based ecosystems and modern supply chains. Disintermediation has been an intriguing puzzle for managers for the last several decades, but recent development in electronic commerce makes the management of this trade-off even more challenging. The first type of partial disintermediation I study, often referred to as platform envelopment, is widely observed in platform-based businesses. Platform owners often rely on complementary innovations from third-party providers (i.e., third-party contents), while providing their own products/services to consumers (i.e., first-party contents). The second type of partial disintermediation I study is referred to as supplier encroachment. Due to the fast development of electronic commerce, many manufacturers have established their direct-selling channels on the internet (e.g., online stores), instead of completely relying on third-party retailers to reach customers. The widespread observation of disintermediation and the resulting co-opetition behaviors in various industries has motivated me to investigate two important questions: (1) what's the impact of partial disintermediation on consumer demand and firm profits? (2) what strategies can be used to manage the co-opetition relationship? I use both analytical modeling and empirical methods to study the impact of disintermediation on consumer behaviors, firm profits, and social welfare. The findings provide managerial insights into how to manage the co-opetition dilemma due to disintermediation.Information, Risk, and Operations Management (IROM

TrailXplorer: An interactive mobile educational tool to promote safety awareness and prevent injuries from outdoor adventures.

This thesis seeks to introduce an interactive mobile prototype to promote safety awareness and a visualized guideline to assist outdoor adventurers. Nature is a place where many people go to find peace and relax. According to the “Outdoor participation report 2017” (the Coleman Company, 2017), 144.4 million Americans participated in outdoor activities in 2017. Unfortunately for a multitude of reasons, people encounter some type of unfortunate event that results in either injury or death. As the number of outdoor participants has continued increased annually, safety awareness and skills training have become increasingly crucial now more than ever. This project sought to not only educate people’s outdoor skills and reduce injuries but to also proposes new interactive methods that can support them in the future. The overall purpose of this project was to reduce injuries from outdoor activities by promoting safety awareness and educate people on outdoor activity skills. By providing users with information about environmental conditions and Augmented reality technology, users can have better insights into their surroundings in addition to knowledge of useful safe solutions when they go outdoors. Therefore, in the future outdoor enthusiasts will be able to enjoy a better and safer adventure. More importantly, this project explored how to integrate emerging technologies into people’s real- life experiences while helping them to solve problems. The deliverables of this project included three parts. Firstly, the user research. A lot of user research methods, such as user questionnaire, interviews, user personas are used to identify the target audience, their needs and pain points. Secondly, the interaction design process included planning and documenting user flow, the definition of design through wireframes and visual design iterations. To find the optimal user experience, scenarios were evaluated based on user objectives. Lastly, a demo video was created to help communicate the workflow by simulating the use cases. This project proposed to combine user experience methods, interfaces design, and augmented reality technology to deliver a better and safer outdoor experience

Cognitive function in postmenopausal breast cancer patients one year after completing adjuvant endocrine therapy with letrozole and/or tamoxifen in the BIG 1-98 trial

Endocrine therapy for breast cancer may affect cognition. The purpose of this study was to examine whether cognitive function improves after cessation of adjuvant endocrine therapy. Change in cognitive function was assessed in 100 postmenopausal breast cancer patients in the BIG 1-98 trial, who were randomized to receive 5years of adjuvant tamoxifen or letrozole alone or in sequence. Cognitive function was evaluated by computerized tests during the fifth year of trial treatment (Y5) and 1year after treatment completion (Y6). Cognitive test scores were standardized according to age-specific norms and the change assessed using the Wilcoxon signed-rank test. There was significant improvement in the composite cognitive function score from Y5 to Y6 (median of change=0.22, effect size=0.53, P<0.0001). This improvement was consistent in women taking either tamoxifen or letrozole at Y5 (P=0.0006 and P=0.0002, respectively). For postmenopausal patients who received either adjuvant letrozole or tamoxifen alone or in sequence, cognitive function improved after cessation of treatmen

The Impact of Inclusive Leadership on Employee Well-being: The Mediating Role of Organizational Trust

In recent years, people pay more and more attention to employees' work experience and mental health, especially employee well-being. Leadership style is one of the factors that affect employee well-being. Recently, there have been more and more researches on inclusive leadership in China. However, the research on the relationship between inclusive leadership and employee well-being in China is still in its infancy, and the mechanism between the two still needs to be further studied.This paper investigates the mediating effect of organizational trust on the relationship between inclusive leadership and employee well-being by using a questionnaire survey of Chinese workers. Based on a survey of 153 participants, the results show that organizational trust can mediate the positive impact of inclusive leadership on employee well-being. At the same time, after the addition of organizational trust as an intermediate variable, the study found that the establishment of organizational trust has a driving effect on improving employee well-being

Motivating IT-Mediated Crowds: The Effect of Goal Setting on Project Performance in Online Crowdfunding

In traditional organizations, stretch goals - difficult and seemingly unattainable goals - have been much debated for their paradoxical effects. Recently, their use as a managerial instrument in IT-mediated crowds has increased. Using online crowdfunding on Kickstarter as an example, we investigate how the use of stretch goals influences project performance. Empirical results show that the use of stretch goals is associated with better project funding performance. Such positive effect is even stronger for projects with higher levels of community engagement. However, stretch goals are less effective in project categories where stretch goals are less novel. Our empirical results also reveal that the use of stretch goals significantly increases a project’s likelihood of delivery delay. These results shed light on the potential dark side of using stretch goals in IT-mediated crowds

Decoupled Federated Learning on Long-Tailed and Non-IID data with Feature Statistics

Federated learning is designed to enhance data security and privacy, but faces challenges when dealing with heterogeneous data in long-tailed and non-IID distributions. This paper explores an overlooked scenario where tail classes are sparsely distributed over a few clients, causing the models trained with these classes to have a lower probability of being selected during client aggregation, leading to slower convergence rates and poorer model performance. To address this issue, we propose a two-stage Decoupled Federated learning framework using Feature Statistics (DFL-FS). In the first stage, the server estimates the client's class coverage distributions through masked local feature statistics clustering to select models for aggregation to accelerate convergence and enhance feature learning without privacy leakage. In the second stage, DFL-FS employs federated feature regeneration based on global feature statistics and utilizes resampling and weighted covariance to calibrate the global classifier to enhance the model's adaptability to long-tailed data distributions. We conducted experiments on CIFAR10-LT and CIFAR100-LT datasets with various long-tailed rates. The results demonstrate that our method outperforms state-of-the-art methods in both accuracy and convergence rate