Research on residents' perceptions on tourism impacts and attitudes: a case study of Pingyao Ancient City

Residents’ perceptions on tourism impacts and attitudes towards tourism development have a great influence on tourism sustainable development. But the measuring factors of research on residents’ perceptions on tourism impacts are not unified. This paper takes Pingyao ancient city as a case and employs interviewing method, and it analyzes residents’ perceptions on tourism economic impacts, socio-cultural impacts and environmental impacts. Furthermore, the paper examines the significance of taking the manners of people who participate in tourism into consideration. Results show that the residents have some perceptions on tourism impacts, but the overall satisfaction of tourism development is not high, and there is a small proportion of a heater or opponents. In addition, residents who participate in tourism in different patterns have distinctly different perceptions on tourism impacts, and the community development can be used to explain the difference of residents’ perceptions.Peer Reviewe

Research on residents' perceptions on tourism impacts and attitudes: a case study of Pingyao Ancient City

Residents’ perceptions on tourism impacts and attitudes towards tourism development have a great influence on tourism sustainable development. But the measuring factors of research on residents’ perceptions on tourism impacts are not unified. This paper takes Pingyao ancient city as a case and employs interviewing method, and it analyzes residents’ perceptions on tourism economic impacts, socio-cultural impacts and environmental impacts. Furthermore, the paper examines the significance of taking the manners of people who participate in tourism into consideration. Results show that the residents have some perceptions on tourism impacts, but the overall satisfaction of tourism development is not high, and there is a small proportion of a heater or opponents. In addition, residents who participate in tourism in different patterns have distinctly different perceptions on tourism impacts, and the community development can be used to explain the difference of residents’ perceptions.Peer Reviewe

Fluorescence-based Measurement of Store-operated Calcium Entry in Live Cells: from Cultured Cancer Cell to Skeletal Muscle Fiber

Store operated Ca2+ entry (SOCE), earlier termed capacitative Ca2+ entry, is a tightly regulated mechanism for influx of extracellular Ca2+ into cells to replenish depleted endoplasmic reticulum (ER) or sarcoplasmic reticulum (SR) Ca2+ stores1,2. Since Ca2+ is a ubiquitous second messenger, it is not surprising to see that SOCE plays important roles in a variety of cellular processes, including proliferation, apoptosis, gene transcription and motility. Due to its wide occurrence in nearly all cell types, including epithelial cells and skeletal muscles, this pathway has received great interest3,4. However, the heterogeneity of SOCE characteristics in different cell types and the physiological function are still not clear5-7

Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence

Mobile Augmented Reality (MAR) integrates computer-generated virtual objects with physical environments for mobile devices. MAR systems enable users to interact with MAR devices, such as smartphones and head-worn wearables, and perform seamless transitions from the physical world to a mixed world with digital entities. These MAR systems support user experiences using MAR devices to provide universal access to digital content. Over the past 20 years, several MAR systems have been developed, however, the studies and design of MAR frameworks have not yet been systematically reviewed from the perspective of user-centric design. This article presents the first effort of surveying existing MAR frameworks (count: 37) and further discuss the latest studies on MAR through a top-down approach: (1) MAR applications; (2) MAR visualisation techniques adaptive to user mobility and contexts; (3) systematic evaluation of MAR frameworks, including supported platforms and corresponding features such as tracking, feature extraction, and sensing capabilities; and (4) underlying machine learning approaches supporting intelligent operations within MAR systems. Finally, we summarise the development of emerging research fields and the current state-of-the-art, and discuss the important open challenges and possible theoretical and technical directions. This survey aims to benefit both researchers and MAR system developers alike.Peer reviewe

Gene expression profile indicates involvement of NO in Camellia sinensis pollen tube growth at low temperature

DEGs identified from the comparison between control (CsPT-CK) and 4 °C-treated (CsPT-LT) pollen tbues. All of the samples were replicated three times. CK and LT FPKM: fragments per kb per million reads for each unigene in the CK and LT libraries, respectively. The log2Ratio (LT/CK): ratio between the FPKM of LT and CK. The absolute values of log2Ratio > 1 and probability > 0.7 were used as threshold for assigning significance. Annotation of DEGs against NR, NT, Swiss-Prot protein, KEGG, COG and GO were all reported in the tables. “-”: no hit. (XLS 381 kb

Bayesian Inference Federated Learning for Heart Rate Prediction

The advances of sensing and computing technologies pave the way to develop novel applications and services for wearable devices. For example, wearable devices measure heart rate, which accurately reflects the intensity of physical exercise. Therefore, heart rate prediction from wearable devices benefits users with optimization of the training process. Conventionally, Cloud collects user data from wearable devices and conducts inference. However, this paradigm introduces significant privacy concerns. Federated learning is an emerging paradigm that enhances user privacy by remaining the majority of personal data on users’ devices. In this paper, we propose a statistically sound, Bayesian inference federated learning for heart rate prediction with autoregression with exogenous variable (ARX) model. The proposed privacy-preserving method achieves accurate and robust heart rate prediction. To validate our method, we conduct extensive experiments with real-world outdoor running exercise data collected from wearable devices.Peer reviewe