SDES-YOLO: A high-precision and lightweight model for fall detection in complex environments.

Falling is an emergency situation that can result in serious injury or even death, especially in the absence of immediate assistance. Therefore, developing a model that can accurately and promptly detect falls is crucial for enhancing quality of life and safety. In the field of object detection, while YOLOv8 has recently made notable strides in detection accuracy and speed, it still faces challenges in detecting falls due to variations in lighting, occlusions, and complex human postures.

Integrating AI with medical industry chain data: enhancing clinical nutrition research through semantic knowledge graphs.

In clinical nutrition research, the medical industry chain generates a wealth of multidimensional spatial data across various formats, including text, images, and semi-structured tables. This data's inherent heterogeneity and diversity present significant challenges for processing and mining, which are further compounded by the data's diverse features, which are difficult to extract. To address these challenges, we propose an innovative integration of artificial intelligence (AI) with the medical industry chain data, focusing on constructing semantic knowledge graphs and extracting core features.

Growth and development and trends in overweight and obesity among 7-12 years old Hmong children in China: an analysis of eight successive national surveys from 1985 to 2019.

Background: To explore the dynamic changes and trends in the body shape of Hmong children aged 7-12 years from 1985 to 2019, and to predict them, to provide a reference for the physical health level of Hmong children.

Methods: The body shape data of Hmong children aged 7-12 years old from the Chinese National Survey on Students' Constitution and Health (CNSSCH) in 1985, 1991, 1995, 2000, 2005, 2010, 2014, and 2019 were used for longitudinal comparative analysis, and the grey GM(1,1) model was established based on this as a time series. Forecast the future development trend in 2025 and 2030.

Optimizing storage on fog computing edge servers: A recent algorithm design with minimal interference.

The burgeoning field of fog computing introduces a transformative computing paradigm with extensive applications across diverse sectors. At the heart of this paradigm lies the pivotal role of edge servers, which are entrusted with critical computing and storage functions. The optimization of these servers' storage capacities emerges as a crucial factor in augmenting the efficacy of fog computing infrastructures.

"Exploring the relationship of organizational virtuousness, citizenship behavior, job performance, and combatting ostracism" through structural equational modeling.

Background: This theoretical model has been drawn on principles of social exchange theory to scrutinize the connection between organizational virtuousness and job performance with the mediating role of Organizational citizenship behavior and moderating role of workplace ostracism. A survey was conducted in Pakistan, gathering data from 486 employees working for various private and commercial banks.

Method: Soft and hard questionnaires were distributed to the participants, with social media platforms used for the soft questionnaires and meetings with employees for the hard questionnaires.

Does international trade improve carbon productivity? Evidence from countries along the Belt and Road.

The Belt and Road Initiative proposed by China has significantly increased trade in countries along the Belt and Road (B&R). Since most of these countries are developing and emerging economies, the pressure to reduce carbon emissions poses a leading challenge for them. Carbon productivity has become a key indicator for assessing the degree of low-carbon development, as it can link economic development with CO emission reduction.

What are the roles of positive psychological construct in blended learning contexts? Integrating academic buoyancy into the Community of Inquiry framework.

Introduction: In the post-epidemic era, blended learning has become a social trend for the future of higher education, and scholars have endeavored to understand the factors that influence student learning in these blended communities. Communities of Inquiry is a conceptual framework that describes the components of blended learning environments, indicating teaching presence, social presence, and cognitive presence. However, the framework fails to adequately explore how individual learning motivational factors influence student learning.

Learners' continuance intention in multimodal language learning education: An innovative multiple linear regression model.

Confronted with the unprecedented COVID-19 pandemic, millions of learners have received, are receiving, or will receive multimodal language learning education. This study aims to explore the relationships between various factors influencing learners' continuance intention by proposing an innovative multiple linear regression model in multimodal language learning education. Participants were randomly recruited (N = 334) in China who had received multimodal language learning education by combining Massive Open Online Courses, Rain Classroom, and WeChat.

Scientific mapping of research on English as a foreign language (EFL) reading instruction: A thirty-year perspective.

In recent years, English as a foreign language (EFL) reading instruction has emerged as a prominent and recurring research theme in the realm of education. Despite this growing interest, prior studies have not outlined the research status of EFL reading instruction from a bibliometric lens. Addressing this gap, the present study aims to provide valuable insights into the research landscape of EFL reading instruction by using scientific mapping analysis on documents sourced from the Web of Science Database between 1994 and 2023.

The association between leisure activity and mental health in the older adults in China: amazing Guangchangwu.

Objective: Since the mental health of older adult is an important topic in the aging society, the main purpose of this study is to understand the mental health status of the older adult in China under different conditions. More importantly, although people generally believe that leisure activities can improve mental health, the impact of these activities on older adult has not yet been fully discussed. Hence, this study further explores that what kind of leisure activity is associated with mental health of the older adult given different conditions.

The impact of digital empowerment on the economic openness of the textile industry in Keqiao based on a sustainable environment.

Based on the framework theory of industrial digitization, digital industrialization, digital governance and digital value-added in a sustainable environment, this paper systematically studies the relevant elements of governance and value distribution in the sustainable environment of global trade, and its impact on the development path of human beings. This paper explores the way to embed digital technology into the global value chain to realize digital empowerment, measures the competitiveness index of Keqiao's textile industry in the global value chain, analyzes the technical and environmental challenges faced by China's textile industry in the digital age, and proposes the corresponding countermeasures to deal with the impact of global value chain participation and to improve the international competitiveness of China's textile industry.

Techno-economic analysis of an HRES with fuel cells, solar panels, and wind turbines using an improved Al-Biruni algorithm.

This research demonstrates the application of novel optimization methods in the realm of renewable energy and contributes to the development of environmentally friendly electricity generation and consumption. In this study, an improved version of the Al-Biruni algorithm has been proposed for Hybrid Renewable Energy Systems (HRES) optimization, which includes fuel cells, photovoltaic cells, and windmills. The algorithm considers supply, demand, and energy storage constraints and seeks the best combination of energy sources to meet load demand while reducing total system cost.

Exploring the motivations for rural tourism in China during the COVID-19: The existence of a single motivation.

The COVID-19 epidemic had an appropriate impact on tourists' trip psychology and their subsequent behavior in participating in rural tourism activities. The purpose of this paper is to explore the types of motivations Chinese tourists have for participating in rural tourism in the context of COVID-19, and to comparatively analyze the similarities and differences in motivations for rural tourism during the epidemic and in normal times. An interpretive paradigm qualitative data collection method was used: semi-structured interviews and focus group discussions.

Are digital natives overconfident in their privacy literacy? Discrepancy between self-assessed and actual privacy literacy, and their impacts on privacy protection behavior.

Privacy literacy is recognized as a crucial skill for safeguarding personal privacy online. However, self-assessed privacy literacy often diverges from actual literacy, revealing the presence of cognitive biases. The protection motivation theory (PMT) is widely used to explain privacy protection behavior, positing that whether individuals take defensive measures depends on their cognitive evaluation of threats and coping capabilities.

How economic policy uncertainty and geopolitical risk affect environmental pollution: does renewable energy consumption matter?

Climate change traps heat, affecting various species in previously dry areas. Climate change brought on by emissions of greenhouse gases exacerbates problems such as severe storms, earthquakes, epidemics, and food distribution. The group of developed and developing countries, the world's biggest carbon emitters and most significant economies, is expertly planning to lessen its environmental challenges and contribute to achieving Sustainable Development Goals 7 and 13 set by the United Nations.

Electronic consultation accessibility influence on patient assessments: A case-control study with user-generated tags of physician expertise.

Objective: In online health communities (OHCs), patients often list their physicians' expertise by user-generated tags based on their consulted diseases. These expertise tags play an essential role in recommending the match of physicians to future patients. However, few studies have examined the impact of the accessibility of e-consults on patient assessments using marking of the physicians' expertise in OHCs.

Eco-tourism, climate change, and environmental policies: empirical evidence from developing economies.

Developing ecotourism services is a suitable solution to help developing countries improve the status of sustainable development indicators and protect their environment. The primary purpose of this paper is to find out the effects of green governance variables and carbon dioxide emissions on ecotourism for 40 developing economies from 2010 to 2021. The results confirmed a uni-directional causal relationship between the green governance indicator and the inflation rate of the ecotourism indicator.

Towards the Contributing Factors for the Inconsistency Between English as a Foreign Language (EFL) Teachers' Equity-Oriented Cognition and Practices.

Backgrounds And Aims: Though EFL teachers now generally hold an equity-oriented mindset, they are often blamed for not implementing equitable practices in the actual teaching. The contributing factors causing cognition-practice inconsistency should be recognized and highlighted to ensure equitable teaching. Therefore, by taking an interpretative qualitative approach, this study explored in-depth the contributing factors that caused the mismatch between EFL teachers' equity-oriented cognition and practices.

Impact of the COVID-19 epidemic on medical product imports from china from outbreak to stabilization: Monthly panel data regression and instrumental variable test.

This study conduct regressions of panal data with OLS and test with IV, empirically examines the COVID-19 epidemic's impact on the import of medical products from China from the perspective of the importing countries, exporting country, and other trading partners, and analyzes the inter-temporal impact across different product categories. The empirical results reveal that, in importing countries, the COVID-19 epidemic increased the import of medical products from China. In China, as an exporting country, the epidemic inhibited the export of medical products; by contrast, for other trading partners, it promoted the import of medical products from China.

Analysis on spatial development mode of eco-sports tourism in Grand Canal landscape environment culture belt.

The development mode of sports tourism is based on the ecological environment. In order to reduce the negative impact of sports tourism on the environment, the development of ecological sports tourism based on the perspective of ecology is the top priority for the healthy and sustainable development of sports tourism. On the basis of summarizing and analyzing the previous research results, this paper expounds the elements and value of ecological sports culture tourism resources, introduces the ecological sports tourism complex model of landscape environmental culture belt, and expounds the cultural connotation characteristics of ecological sports tourism environment.

A qualitative analysis of control-value appraisals, positive achievement emotions, and EFL performance in a Chinese senior high school context.

Based on the control-value theory (CVT), this study qualitatively investigated the relationship between control-value appraisals, achievement emotions (mainly enjoyment, pride, and hope), and English-as-a-foreign-language (EFL) performance, and explored other antecedents of achievement emotions in addition to control-value appraisals. Data were collected from six Chinese high school students through two semi-structured interviews and one focus group discussion. With thematic analysis, data were analyzed under the framework of the CVT using NVivo 11.

Application of virtual simulation situational model in Russian spatial preposition teaching.

The purpose is to improve the teaching quality of Russian spatial prepositions in colleges. This work takes teaching Russian spatial prepositions as an example to study the key technologies in 3D Virtual Simulation (VS) teaching. 3D VS situational teaching is a high-end visual teaching technology.

Cross-Cultural Education and College English Speculative Reading Teaching in Multi-Modal Theoretical Environment.

Due to the extensive development of globalization, the ethnic makeup of the world is becoming more and more complex, and the issue of cultural diversity has emerged as a key concern for all nations' educational systems. Cross-cultural education is an educational prescription for many western countries to deal with cultural diversity and strengthen national cohesion in order to address this issue and promote mutual respect, understanding, and communication between different groups and individuals. One of the most recent developments in global education is cross-cultural education, which has also given rise to a brand-new area of study in the field of education.

Tourism Demand Prediction Model Using Particle Swarm Algorithm and Neural Network in Big Data Environment.

Since demand forecasting is the first step in managing and operating a tourism business, its accuracy is very important to tourism businesses. In order to address NN's drawbacks, such as local optimization, slow convergence, and large sample sizes, this paper organically combines the PSO and NN models and builds a PSO-NN-based tourism demand forecasting model. The tourism demand forecasting indexes, the choice of NN forecasting models, the modelling process, and the implementation methods are first analysed and studied along with the fundamental theories and forecasting techniques of PSO and NN.

The Dissemination, Influence, and Efficiency of Jameson's Cultural Theory Combined with Chinese Mass Culture and Mass Sports Culture in the Sustainable Development of China.

Fredric Jameson's cultural theory forms a crucial part of the Western Marxist theory. Jameson's postmodern cultural theory includes cultural expansion, cultural history, cultural hyperspace, cultural ideology, and so on. The cultural expansion includes the outline of popular sports culture.