El impacto de la cultura china y española en el turismo de ambos países

En los últimos años, China se ha convertido en el cuarto destino turístico del mundo y su competitividad turística aumenta año tras año. España, por su parte, está considerada como uno de los principales países turísticos del mundo y su industria turística sigue creciendo y prosperando. La industria turística española sigue en auge e incluso ha superado a Estados Unidos para convertirse en el segundo país más visitado del mundo. La internacionalización de la industria turística es el camino a seguir. Identificar las diferencias culturales entre China y España y reforzar la gestión del turismo intercultural es crucial para el futuro desarrollo del turismo en ambos países.Grado en Comerci

Effects of Exercise Intervention on the Improvement of Polycystic Ovary Syndrome

Polycystic ovary syndrome (PCOS) is a complex endocrine and metabolic disease characterized by hyperandrogenism and insulin resistance. It results in irregular menstruation, obesity and even infertility, which influences badly physical and mental health of the patients. Now, there is no effective drug for treating PCOS and the preferred program is lifestyle modification, including diet control, regular exercise and behavior therapy. Therefore, in the review, we summarize the study progress concerning the effects of lifestyle intervention on the metabolic, reproductive and psychological dysfunctions of PCOS patients and analyze the corresponding mechanisms in these processes. It can radically reduce the factors of PCOS occurrence and development, while providing valuable information for the prevention and treatment of PCOS and is helpful for further research

A Survey on Datasets for Decision-making of Autonomous Vehicle

Autonomous vehicles (AV) are expected to reshape future transportation systems, and decision-making is one of the critical modules toward high-level automated driving. To overcome those complicated scenarios that rule-based methods could not cope with well, data-driven decision-making approaches have aroused more and more focus. The datasets to be used in developing data-driven methods dramatically influences the performance of decision-making, hence it is necessary to have a comprehensive insight into the existing datasets. From the aspects of collection sources, driving data can be divided into vehicle, environment, and driver related data. This study compares the state-of-the-art datasets of these three categories and summarizes their features including sensors used, annotation, and driving scenarios. Based on the characteristics of the datasets, this survey also concludes the potential applications of datasets on various aspects of AV decision-making, assisting researchers to find appropriate ones to support their own research. The future trends of AV dataset development are summarized

Character Development among Youth of Color from Low-SES Backgrounds: An Examination of Boy Scouts of America’s ScoutReach Program

This study examined character attributes associated with participation in ScoutReach, Boy Scouts of America’s recent program innovation created to deliver Scouting curriculum to underserved populations. Participants were predominantly Black/African American (72.9%; N = 266, Mage = 10.54, SD = 1.58) and resided in low-income urban communities. Youth completed surveys assessing how much they embody different character attributes (e.g., kindness, helpfulness, hopeful future expectations), and a subset of youth (n = 22) also participated in semi-structured interviews examining character-shaping experiences within the program. Results replicated an eight-factor character structure established with youth involved in traditional Scouting programs, and indicated that involvement in ScoutReach may positively contribute to the development in youth of prosocial behaviors, future career goals, tolerance beliefs, and the manifestation of character attributes across Scouting and non-Scouting contexts. Together, these findings have implications for measuring character constructs among youth of color from low-SES backgrounds, and for the conduct of youth-serving character development programs more generally

Accuracy of digital guided implant surgery: expert consensus on nonsurgical factors and their treatments

The standardized workflow of computer-aided static guided implant surgery includes preoperative examination, data acquisition, guide design, guide fabrication and surgery. Errors may occur at each step, leading to irreversible cumulative effects and thus impacting the accuracy of implant placement. However, clinicians tend to focus on factors causing errors in surgical operations, ignoring the possibility of irreversible errors in nonstandard guided surgery. Based on the clinical practice of domestic experts and research progress at home and abroad, this paper summarizes the sources of errors in guided implant surgery from the perspectives of preoperative inspection, data collection, guide designing and manufacturing and describes strategies to resolve errors so as to gain expert consensus. Consensus recommendation: 1. Preoperative considerations: the appropriate implant guide type should be selected according to the patient's oral condition before surgery, and a retaining screw-assisted support guide should be selected if necessary. 2. Data acquisition should be standardized as much as possible, including beam CT and extraoral scanning. CBCT performed with the patient’s head fixed and with a small field of view is recommended. For patients with metal prostheses inside the mouth, a registration marker guide should be used, and the ambient temperature and light of the external oral scanner should be reasonably controlled. 3. Optimization of computer-aided design: it is recommended to select a handle-guided planting system and a closed metal sleeve and to register images by overlapping markers. Properly designing the retaining screws, extending the support structure of the guide plate and increasing the length of the guide section are methods to feasibly reduce the incidence of surgical errors. 4. Improving computer-aided production: it is also crucial to set the best printing parameters according to different printing technologies and to choose the most appropriate postprocessing procedures

An Emergency Driving Intervention System Designed for Driver Disability Scenarios Based on Emergency Risk Field

Driver disability has become an increasing factor leading to traffic accidents, especially for commercial vehicle drivers who endure high mental and physical pressure because of long periods of work. Once driver disability occurs, e.g., heart disease or heat stroke, the loss of driving control may lead to serious traffic incidents and public damage. This paper proposes a novel driving intervention system for autonomous danger avoidance under driver disability conditions, including a quantitative risk assessment module named the Emergency Safety Field (ESF) and a motion-planning module. The ESF considers three factors affecting hedging behavior: road boundaries, obstacles, and target position. In the field-based framework, each factor is modeled as an individual risk source generating repulsive or attractive force fields. Individual risk distributions are regionally weighted and merged into one unified emergency safety field denoting the level of danger to the ego vehicle. With risk evaluation, a path–velocity-coupled motion planning module was designed to generate a safe and smooth trajectory to pull the vehicle over. The results of our experiments show that the proposed algorithms have obvious advantages in success rate, efficiency, stability, and safety compared with the traditional method. Validation on multiple simulation and real-world platforms proves the feasibility and adaptivity of the module in traffic scenarios