Under the dual background of demographic transition and intensified competition in the workplace, the contradiction between women's fertility and career development has become increasingly prominent, which has become an important issue related to social livelihood and labor market efficiency. This paper focuses on the relationship between female fertility dilemma and workplace competitiveness and focuses on the mechanism and breakthrough path of fertility punishment. It is found that the female reproductive dilemma is the result of the structural mechanism. Through the chain of "feminization of care responsibility-fragmentation of time and energy-career interruption and loss of human capital-job marginalization and evaluation bias-long-term income and promotion loss", the female workplace competitiveness is systematically damaged, which is embodied in four dilemmas: physiological health pressure, family care burden, blocked career development and rising economic pressure. The causes involve cultural inertia, institutional supply, enterprise management and family consultation mechanism. The research points out that the government-led risk socialization, enterprise-driven organizational model transformation and family participation responsibility should be combined to form a multi-party force. The research in this paper provides theoretical support and practical guidance for cracking female reproductive punishment, promoting gender equality and sustainable development of labor market, and is of great significance for optimizing people's livelihood security and releasing human capital potential.

Money laundering using virtual currencies, due to its anonymity, nature of cross-border, and technical complexity, has already posed a severe threat to the traditional criminal law system. There are some controversies in the Chinese legal system regarding the legal attributes of virtual currencies and the proper interpretation of "knowing" in the crime of money laundering. These controversies have made efforts in combating money laundering crimes involving virtual currencies ineffective. In this regard, it is urgent to establish a sound legal framework and clarify the subject of responsibility and sentencing of this technology abuse; Improve the active defense capability of technology and build a comprehensive real-time monitoring technology through multi-party cooperation; Promote social collaborative governance and enhance public awareness of prevention. While curbing the abuse of technology, people should also reserve space for its beneficial application and promote the development of deep counterfeiting technology within the legal and compliant boundaries, so as to maintain social stability and safeguard public interests.

Building energy conservation is a hot topic of concern for the whole society. Numerous governments have introduced related policies. However, specific practice is rare. Therefore, a green hotel design study is developed whose core target is to improve buildings' cooling and heating energy efficiency. First, this article is based on the hot and humid tropical climate in Merida, Mexico. Second, the study is based on 3D modeling and energy simulation by Revit, comparing the influence on cooling and heating energy consumption of three kinds of building volumes, three types of glass and different orientations. The simulation conclusion indicates that the low and enclosed building, combined with double glass with high performance, low-E coating, high visible light transmittance and low solar heat gain coefficient, which is south-facing, performs at best comprehensively. However, this proposal is just a design conception. In the future, the real building needs to be monitored, including the court microclimate, indoor environment parameters and energy consumption in order to observe the actual effect of the energy conservation.

In the digital age, with the rapid development of network technologies such as big data and artificial intelligence, while the lives, work, and studies of the general public have been greatly facilitated, many new types of illegal crimes have also emerged. The new type of crime brought about by deepfake technology has become a typical representative. For example, new types of crimes such as telecommunications fraud, pornography extortion, and online rumors. The paper, through the methods of literature review, case analysis, and comparative study, explores the harmful manifestations and difficulties in cracking down on deepfake crime, identifying the current governance shortcomings, proposing feasible technical investigation, legal regulation, and platform management optimization plans, and providing decision-making references for public security organs and regulatory departments. The paper finds that the new type of crime caused by deepfake technology is seriously harmful and difficult to crack down on, and effective control needs to be achieved through multi-dimensional comprehensive governance.

Background: Emergency department nurses face a high risk of burnout due to high-intensity workloads, long working hours and workplace violence, which is associated with the quality of care and increases nurse turnover. Traditional interventions often lack dynamic adjustment capabilities. Methods: This narrative review integrates research on burnout monitoring and prediction, system-level interventions, and individual-level interventions. Results: Machine learning models trained on questionnaire data can tell whether it is a risk when burning out. Wearable devices enable real-time monitoring to prevent burnout at the early stage of detection. But the problem also needs to be resolved with attention to compliance and measurement sensitivity. The problem also needs to be addressed in terms of compliance and recognition of sensitivity. AI-assist scheduling and prediction make system less unequal and lessen work burden. In terms of individuals, modules and digital psychological interventions through the just in time adaptive intervention framework with algorithm matching and the hybrid model of self-selection is to improve the user's interaction. Conclusions: AI-driven interventions for burnout among emergency department nurses provide evidence for the feasibility of proactive, closed-loop intervention programs. It is better to pay more attention to predicting the results of prediction. Translating this into concrete actions and sustaining it over the long term can effectively reduce burnout and maintain a good nursing turnover rate.

Foot and ankle injuries are extremely common in sports and daily activities. They not only cause pain and dysfunction but may also develop into chronic instability or osteoarthritis. Traditional rehabilitation relies on high-load resistance training, which is difficult to implement safely in the early stage of injury and may lead to muscle atrophy and functional decline. As an emerging rehabilitation method, blood flow restriction training applies controllable pressure to the proximal end of the limb combined with low-intensity exercise. This creates a local metabolic stress and hypoxic environment, which simulates some physiological effects of high-intensity training. Thus, it promotes muscle adaptation, enhances muscle strength, and regulates pain under low mechanical stress, which provides a new approach for the prevention and treatment of foot and ankle injuries. Studies have shown that this training exhibits positive potential in preventing Achilles tendon and periankle muscle injuries in healthy populations, promoting muscle strength recovery after Achilles tendon rupture, and improving muscle function and sports performance in patients with chronic ankle instability. However, the field still faces issues such as high research heterogeneity, inconsistent intervention parameters, insufficient evidence on long-term effects and safety. This article reviews the mechanism of blood flow restriction training, its application in preventing foot and ankle injuries in healthy populations, and its rehabilitation effects on Achilles tendon rupture and chronic ankle instability. The aim is to systematically elaborate on its theoretical basis and practical value, which provides references for future research and application.

Students' learning is highly influenced by their motivation, which serves as the primary driver of their behavior. Motivations are classified as either internally or externally oriented, and existing literature emphasizes the significance of each type of motivation. Intrinsic and extrinsic motives are frequently used in many social fields, such as economics, psychology, sociology, etc. This study will mainly concentrate on the motivations in educational fields, and meanwhile draw on psychological theories, to examine the influences of different motivations on students' performances. The paper will use the method of literature review and some cases to investigate the effects of motivations on students. Through a series of comparisons and analyses, the author concludes that both intrinsic and extrinsic motivations are valuable in fostering learning, and the most effective approach involves understanding how to influence each motivation and employ it as appropriate. This paper aims to provide insights in teaching to improve students' motivation.

Digital technologies and wearable health devices increasingly shape everyday health practices and social identity. This study examines how modern technologies influence LGBTQ+ individuals' identity formation and coming-out anxiety in Sydney, Australia. Using a mixed-method design, the research draws on public datasets, digital policy analysis, surveys, and Yarning/focus-style narrative interviews (n = 25). Two key questions guide the study: (1) how technology shapes LGBTQ+ identity and anxiety around disclosure; and (2) how social media feedback loops reinforce stigma or support wellbeing. Using the Social Ecological Model (SEM), the findings show that risks are multi-layered: low privacy literacy (individual), fear of being ostracized by family/peers (relationships), the absence of community-inclusive sexual education materials (community), and regulatory ambiguity regarding wearable health data governance (societal). The study concludes that culturally safe, inclusive, and legally robust digital health systems are crucial to achieving public health equity, and recommends local data residency options, gender-diverse algorithm training, and community-led reform of sexual health communication in NSW.

With the issuance of the "Guiding Opinions on Comprehensively Promoting the Renovation of Urban Old Residential Areas" by the State Council in 2020, the renovation of urban old residential areas has been officially listed as a national policy. Currently, many renovations of old residential areas in China lack local characteristics, tend to be standardized and procedural, and seldom explore residents' genuine needs. As a result, residents' real interests are often overlooked. This study focuses on old neighborhoods in Nanjing to explore how community planning can become more participatory and locally grounded. Using literature review and case analysis, it is found that to genuinely protect residents' rights, three types of renewal must be implemented concurrently: renewal of stakeholders, renewal of processes, and renewal of spaces. The government should provide platforms and legal support; companies should commit to social responsibility and share decision-making; and residents should have a real voice. Only then can the local characteristic of living spaces be preserved.

Teacher emotions are an ordinary but powerful part of classroom life. This review examines how teachers' emotional expressions and regulation shape students' behaviour, emotional development, and academic learning, and how student' own emotion regulation processes mediate these effects. Using a structured search across major education and psychology databases, the review draws together empirical and theoretical work published since 2003, when research on teacher emotions began to expand. The findings show that positive teacher emotions, such as warmth, patience, and enthusiasm support student engagement, strengthen relationships, and encourage adaptive coping. In contrast, frequent expressions of anger, frustration, or emotional distance can create insecurity, reduce participation, and foster maladaptive regulation patterns. Students do not simply absorb these emotions passively; rather, they interpret and respond to them, gradually forming their own emotional habits and beliefs about learning. These patterns help explain longer-term outcomes related to resilience, motivation, and academic confidence. The review highlights the importance of viewing classrooms as emotional environments and suggests that teacher professional development should include opportunities to build emotional awareness, practise adaptive regulation strategies, and develop supportive classroom routines. Together, these insights point to the need for a stronger focus on emotional processes in both theory and classroom practice.