Search Results (927)

In an era of intensifying global technological competition and systemic disruptions, the resilience of metropolitan innovation networks has emerged as a cornerstone of sustainable regional development. Based on joint invention patents, this study employs a multi-method analytical framework integrating social network analysis, network motif analysis, a random walk algorithm, and the Exponential Random Graph Model (ERGM) to trace the evolution of resilience across node, structural, and community levels in the Shanghai Metropolitan Area (2011–2020). Our findings reveal a significant trajectory of strengthening resilience, marked not only by a shift from a monocentric to a polycentric structure at the node level but also by a qualitative change in collaborative patterns at the structural level, and enhanced integration at the community level. ERGM analysis identifies policy coordination and industrial upgrading as the most potent drivers of this evolution, with a pivotal finding being that digital connectivity, measured by information proximity, has superseded geographic proximity in facilitating collaboration. This study develops and applies a multi-scale resilience framework, while also extending proximity theory by highlighting the growing importance of policy and information dimensions over geographic distance. It offers actionable insights for building resilient innovation ecosystems in policy-driven metropolitan regions. Full article

The COVID-19 pandemic has profoundly affected global economies, including the electricity sector. Governments implemented strict containment measures to mitigate the health crisis, including lockdowns, social distancing, and event cancelations. These interventions, while essential for public health, also disrupted energy demand and supply patterns. This study supports regulators by quantifying the short- and long-term impacts of the pandemic on local electricity prices (LEPs) in the Nord Pool market (Norway, Sweden, Denmark, Finland, Estonia, Latvia, and Lithuania) during 2020. The findings highlight a crucial link between crisis response strategies and the transition to sustainable energy systems. In times of uncertainty, governments tend to prioritize renewable energy investments, particularly wind power, which offers a clean and resilient alternative to fossil-fuel-based electricity generation. Using the PMG-ARDL estimator, our analysis reveals a significant long-term negative association between government interventions and LEP, as well as between wind energy production (WEP) and LEP. Specifically, an additional gigawatt of wind energy generation reduces local electricity prices by up to EUR 0.09, confirming the merit-order effect. These findings emphasize the environmental and economic benefits of expanding wind energy capacity as a stabilizing force in electricity markets. Moreover, while health-related news influenced LEP fluctuations in the long run, government restrictions had a limited short-term impact, likely due to the inelastic nature of electricity demand and supply. This study reinforces the argument that integrating more renewable energy sources can enhance market resilience, reduce price volatility, and contribute to long-term sustainable development, making the energy transition an essential pillar of post-pandemic recovery strategies. Full article

The health crisis caused by COVID-19 led to a series of restrictive measures worldwide. Amongst them, a period of lockdown that resulted in a decrease in social contact, which had a series of effects at the emotional, educational, and social levels, the greatest concern being the mental health effects in minors. The aim of this study is to analyse mental health disorders affecting Primary Education students before and during the pandemic, at emotional, social and behavioural levels. A total of 1045 students from different educational centres, in 5th and 6th year of Primary Education, of both sexes and aged between 10 and 12 years old, took part in the study. The instrument used was the “Strengths and Difficulties Questionnaire, SDQ”, which measures mental health disorders in minors. The results indicate that during the pandemic there was an increase in emotional problems among minors, alongside a decrease in hyperactivity, conduct problems, and peer-related problems. Social distancing during the pandemic may have acted as a key mediating variable in the observed outcomes. It is concluded that these results are important in preventing psychological effects on the mental health of minors in crisis situations. Full article

Objective: The aim was to analyze the temporal evolution and spatial distribution of classic and hemorrhagic dengue in the Mexican state of San Luis Potosí at the basic geostatistical area (BGA) level and to develop multivariate models to estimate the population’s degree of vulnerability. Methodology: Classic and hemorrhagic dengue cases for 2015–2020 were obtained from the Mexican Ministry of Health, georeferenced at the pixel level, and subsequently grouped by BGA. Environmental, proximity, and social variables were obtained from official sites: IMTA, SMN, USGS, and INEGI. Multivariate logistic regression models were developed using PASW Statistics v. 18 software to estimate the degree of vulnerability, and the receiver operating characteristic curve was used to validate them. Results: A total of 125, 128, 109, 624, 1580, and 1817 dengue cases were identified for 2015, 2016, 2017, 2018, 2019, and 2020, respectively. The major factors contributing to the vulnerability of classic dengue fever included population, temperature, and distance to agricultural areas. For hemorrhagic dengue, the contributing factors were temperature, population, and mean annual rainfall. Vulnerability prediction was determined by taking the area under the curve values, which were 0.957 for classic dengue fever and 0.930 for hemorrhagic dengue, both indicating a “very good ability” to predict. Conclusions: These results can be used to design and implement targeted strategies, particularly for modifiable factors, such as prevention measures directed towards populated areas and the improvement of sewage systems, in addition to non-modifiable factors, such as temperature and rainfall. This method can be replicated as an additional tool to address this public health issue. Full article

Humans form deep attachments to some nonhuman animals, yet these attachments are unequally distributed across the tree of life. Drawing on evolutionary biology, comparative cognition, neuroscience, and cultural anthropology, this narrative review explains why empathy and affective preference are typically stronger for phylogenetically closer species—especially mammals—than for distant taxa such as reptiles, fish, or arthropods. We synthesize evidence that signal recognizability (faces, gaze, vocal formants, biological motion) and predictive social cognition facilitate mind attribution to mammals; conserved neuroendocrine systems (e.g., oxytocin) further amplify affiliative exchange, particularly in domesticated dyads (e.g., dog–human). Ontogenetic learning and media narratives magnify these effects, while fear modules and disgust shape responses to some distant taxa. Notwithstanding this average gradient, boundary cases—cephalopods, cetaceans, parrots—show that perceived agency, sociality, and communicative transparency can overcome phylogenetic distance. We discuss measurement (behavioral, psychophysiological, neuroimaging), computational accounts in predictive-processing terms, and implications for animal welfare and conservation. Pragmatically, calibrated anthropomorphism, hands-on education, and messaging that highlights agency, parental care, or ecological function reliably broaden concern for under-represented taxa. Recognizing both evolved priors and cultural plasticity enables more equitable and effective science communication and policy. Expanding empathy beyond its ancestral anchors is not only an ethical imperative but a One Health necessity: safeguarding all species means safeguarding the integrity of our shared planetary life. Full article

Background: This randomized controlled trial aimed to assess the effects of a yearly Multi-Component Exercise Training (MCET) program performed within the hospital setting on the functional capacity and Health-Related Quality of Life (HRQoL) of inpatients with psychotic disorders. Methods: Forty-eight inpatients of a public Psychiatric Hospital with a diagnosis of psychosis participated in the study and were randomly assigned to two groups: (i) the intervention group (mean age: 46.6 ± 13.2) and (ii) the control group (mean age: 47.7 ± 8.9). The MCET program consisted of moderate-intensity aerobic exercise (AE), Pilates exercises, and strengthening, balance, corrective and flexibility exercises, using rubber bands, mobility sticks and balls. Sessions were implemented three times per week over a 12-month period and each group session lasted for 30–45 min. The primary outcomes of the study included functional capacity and HRQoL. Functional capacity was assessed through measurements of strength (using handgrip and leg dynamometer), balance, and body positioning, while HRQoL was evaluated using the 36-Item Short Form Health Survey (SF-36). Results: At the end of the treatment, participants in the intervention group demonstrated significantly increased lower and upper extremity muscle strength by 35.9% (p < 0.01) and 23.6% (p < 0.01), respectively, improved balance by 18.1% (p < 0.001), and enhanced sit-and-reach and sit-to-stand results by 47.6% (p < 0.001) and 18.2% (p < 0.001), respectively, as well as increased distance covered at 6MWT by 26.2% (p < 0.001). Regarding the HRQoL, all the parameters of the SF-36 were improved, including general and mental health (p < 0.05), physical (p < 0.001) and social function (p < 0.05), physical (p < 0.01) and emotional roles (p < 0.01) and vitality and bodily pain (p < 0.001 and p < 0.05, respectively). The Physical Component Summary score (PCS) was enhanced significantly (p < 0.001), while the Mental Component Summary score (MCS) remained unchanged. Compliance with the 1-year ET program was 80%. Conclusions: The findings of the study indicated that a 1-year moderate-intensity MCET performed three times per week was safe, well accepted and efficient in improving physical functioning and HRQoL among inpatients with psychotic disorders. These results suggest that structured exercise interventions could be prescribed as add-ons to the pharmacological treatment for psychotic disorders. Full article

Explosions, including those from war weapons, terrorist attacks, etc., can lead to damage and overall collapse of bridges. However, there are no clear guidelines for anti-blast design and protective measures for bridges under blast loading in current bridge design specifications. With advancements in intelligent construction, precast segmental bridge piers have become a major trend in social development. There is a lack of full understanding of the anti-blast performance of precast segmental bridge piers. To study the engineering calculation method for blast load acting on a typical precast segmental reinforced concrete (RC) pier in near-field explosions, an air explosion test of the precast segmental RC pier is firstly carried out, then a fluid–structure coupling numerical model of the precast segmental RC pier is established and the interaction between the explosion shock wave and the precast segmental RC pier is discussed. A numerical simulation of the precast segmental RC pier in a near-field explosion is conducted based on a reliable numerical model, and the distribution of the blast load acting on the precast segmental RC pier in the near-field explosion is analyzed. The results show that the reflected overpressure on the pier and the incident overpressure in the free field are reliable. The simulation results are basically consistent with the experimental results (with a relative error of less than 8%), and the fluid–structure coupling model is reasonable and reliable. The explosion shock wave has effects of reflection and circulation on the precast segmental RC pier. In the near-field explosion, the back and side blast loads acting on the precast segmental RC bridge pier can be ignored in the blast-resistant design. The front blast loads can be simplified and equalized, and a blast-resistant design load coefficient (1, 0.2, 0.03, 0.02, and 0.01) and a calculation formula of maximum equivalent overpressure peak value (applicable scaled distance [0.175 m/kg^1/3, 0.378 m/kg^1/3]) are proposed, which can be used as a reference for the blast-resistant design of precast segmental RC piers. Full article

Background: The public often places value on youth sport involvement in the United States due to its potential to foster positive outcomes for participants. Although sport parents are key socializers and provide access to appropriate participation opportunities for children, less is known about how their perceptions of their child’s motives influence their sport commitments. Purpose: Therefore, the purpose of the present study was to understand how parents’ perceptions of their child’s motives for sport participation were associated with time/travel sport commitments. Methods: Participants (N = 1250) were parents in the United States reporting on their child’s youth sport participation. Measures assessed their perceptions of their child’s motives for sport involvement, how many hours per week and months per year they engaged in sport, and how far they tended to drive to facilitate sport opportunities. Multiple regressions were utilized. Results: Analyses revealed that the number of months per year was positively predicted by motives for being physically healthy and spending time with friends. Similarly, being with friends was a positive predictor of the number of weekly hours spent in organized sport and having fun positively predicted the distance driven to participate. Motives for becoming more physically attractive negatively predicted time and travel commitments. Conclusions: Overall, the present study sheds light on how the ways parents perceive their children’s motivations for participating in youth sport influences parents’ commitment to facilitating sport participation opportunities for their children. Full article

To date, the ordinal pattern-based method has been applied to problems in natural and social sciences. We report, for the first time to our knowledge, an attempt to apply this methodology to a topic in the humanities. Specifically, in an effort to investigate the applicability of the methodology in analyzing the quality of texts that are translated into a language preserving the so-called vowel harmony, computed results are presented for the metrics of divergence between the back-translated and the original texts. As a specific language we focus on Japanese, and as metrics the Hellinger distance as well as the chi-square statistic are employed. Here, the former is a typical information-theoretical measure that can be quantified in natural unit, nat for short, while the latter is useful for performing a non-parametric testing of a null hypothesis with a significance level. The methods are applied to three cases: a Japanese novel along with a translated version available, the Preamble to the Constitution of Japan, and seventeen translations of an opening paragraph of a famous American detective story, which include thirteen human and four machine translations using DeepL and Google Translate. Numerical results aptly show unexpectedly high scores of the machine translations, but it still might be too soon to speculate on their unconditional potentialities. Both our attempt and results are not only novel but are also expected to make a contribution toward an interdisciplinary study between physics and linguistics. Full article

Based on questionnaire data and in-depth interviews with newly arrived students (NAS) from mainland China, this study investigates the construction of their social networks and the mechanisms through which they access social support in the context of migration. Drawing on Berry’s acculturation theory, Bronfenbrenner’s ecological systems theory, and Bourdieu’s concept of social capital, this study provides a theoretically grounded analysis of how NAS balance cultural distance and social needs. The findings reveal that NAS do not form social connections uniformly; rather, they strategically allocate social resources according to the degree of homophily and the strength of social ties. Specifically, weak ties with mainland peers—characterized by high cultural homophily—primarily offer emotional support; strong ties with local Hong Kong peers—marked by low homophily but high interaction frequency—mainly serve instrumental needs such as academic assistance and daily companionship; while strong ties with Hong Kong peers of mainland background combine both emotional and instrumental support, functioning as a core relational bridge in the NAS’s adaptation process. These three types of relationships form a complementary structure within NAS’s social networks. Reliability and validity tests further confirmed that four items (social satisfaction, peer attitude, sense of belonging, integration/adaptation) provide a coherent measure of social integration. The study suggests that NAS’s social practices are not merely about “integration” or “alienation,” but rather represent a dynamic strategy of balancing relational costs, cultural distance, and practical needs in the operation of social capital and characterised by dynamic negotiation and contextual adjustment. Full article

Understanding and modeling the flow of information in human societies is essential for capturing phenomena such as polarization, opinion formation, and misinformation diffusion. Traditional agent-based models often rely on simplified behavioral rules that fail to capture the nuanced and context-sensitive nature of human decision-making. In this study, we explore the potential of Large Language Models (LLMs) as data-driven, high-fidelity agents capable of simulating individual opinions under varying informational conditions. Conditioning LLMs on real survey data from the 2020 American National Election Studies (ANES), we investigate their ability to predict individual-level responses across a spectrum of political and social issues in a zero-shot setting, without any training on the survey outcomes. Using Jensen–Shannon distance to quantify divergence in opinion distributions and F1-score to measure predictive accuracy, we compare LLM-generated simulations to those produced by a supervised Random Forest model. While performance at the individual level is comparable, LLMs consistently produce aggregate opinion distributions closer to the empirical ground truth. These findings suggest that LLMs offer a promising new method for simulating complex opinion dynamics and modeling the probabilistic structure of belief systems in computational social science. Full article

Compared to non-smart communities, smart communities expand the boundaries of community management and provide a platform for the deep integration of fitness and health. However, a single-entity governance model reduces the management efficiency of smart communities and hinders the realization of fitness-health integration within them. A collaborative governance model involving governments, businesses, social organizations, and residents replaces the traditional linear governance model that relies on a single entity through resource integration. This study, based on collaborative governance theory, employs three scenario-based experimental designs and quantitative analysis, with Xiamen’s smart city community and non-smart urban village community as research subjects. It explores the multistakeholder collaborative governance model for the deep integration of fitness and health, compares the differences in fitness-health integration between smart communities and non-smart communities, and measures the effectiveness differences between multistakeholder collaborative governance and single-entity governance models. The findings indicate: (1) Residents in smart communities have higher satisfaction with comprehensive fitness-health services; (2) Residents in smart communities perceive shorter psychological distances when engaging in fitness-health activities compared to non-smart environments; (3) The governance model moderates the impact of psychological distance on service satisfaction. Compared to the single-actor model, multiactor collaborative governance more effectively enhances perceived psychological proximity and improves satisfaction. The research findings contribute theoretically to advancing understanding of collaborative governance theory while expanding the application of the technology acceptance model (TAM) and the construal level theory in the context of community governance. Practically, they offer insights for public policymakers to optimize resource allocation and for community managers to strengthen digital governance. Full article

Objectives: To analyze, across the periods before, during, and after the implementation of Social Isolation and Distancing Measures (IMDIS): (a) changes in the prevalence of non-communicable chronic diseases (NCDs), stratified by age group in the Brazilian population; and (b) the association between physical inactivity (PI), insufficient moderate-to-vigorous physical activity (MVPA), and sedentary behavior (SB) with the occurrence of these conditions. This cross-sectional study used data from VIGITEL (Brazil’s Surveillance System of Risk and Protective Factors for Chronic Diseases by Telephone Survey), an annual population-based telephone survey conducted across the country. Data were collected in 2019, 2021, and 2023, with a total sample size of 101,226 participants. Arterial hypertension (AH) and diabetes mellitus (DM) were self-reported, and obesity (OB) was diagnosed using body mass index. PI, insufficient MVPA, and SB were identified via VIGITEL indicators. Chi-square tests assessed differences in prevalence overall and by age group. Logistic regression models estimated odds ratios (ORs) for associations between demographic variables, behavioral factors, and the studied periods. The prevalence of AH and DM was highest among individuals over 60 years, reaching 61% after IMDIS, a period when OB also peaked across all age groups. Individuals aged 30–59 and those over 60 had higher odds of AH, DM, and OB across all periods. Female participants had higher ORs for AH and DM both before and after IMDIS. PI and insufficient MVPA were associated with increased odds of AH, DM, and OB in all periods, while SB significantly elevated the OR for OB at all time points. After IMDIS, there was an increase in the prevalence of AH, DM, and OB among older adults and younger individuals. PI, insufficient MVPA, SB, and advanced age were all associated with a greater likelihood of NCDs at every stage of the study. The high post-IMDIS rates of AH, DM, and OB highlight the need for urgent public health strategies. Low-cost programs, such as live videos and online group sessions, should be included in national physical activity guidelines. These initiatives are affordable, aligned with WHO goals, and reduce PI in IMDIS scenarios. Incorporating them into Academia da Saúde and Agita Brasil strengthens NCD prevention and increases the resilience of the health system for future health crises. Full article

Coronavirus disease 2019 (COVID-19) emerged in late 2019 and was declared a pandemic from March 2020 to May 2023, profoundly affecting public health systems, economies, and daily life worldwide. University students were among the most impacted groups, facing abrupt transitions to remote learning, social isolation, and increased psychological distress due to academic and personal uncertainties. During the pandemic, few studies have been conducted with this population and so far, none have evaluated factors associated with COVID-19 infection in university students, so this study aimed to evaluate variables associated with COVID-19 infection among university students in southern Brazil. Data were collected from July to November 2020 through an online questionnaire addressing lifestyle and health, with participation from 1533 students. Among the variables analyzed, statistically significant associations with COVID-19 infection were identified for age, occupation, use of continuous medication, compliance with social distancing, and self-medication practices. Younger students (18–29 years) and those dedicated solely to studying exhibited higher infection rates. Additionally, participants who reported using continuous medication, not adhering to social distancing measures, or engaging in self-medication were significantly more likely to have contracted COVID-19. These results help outline risk profiles within the university student population and contribute to improved preparedness for future disease outbreaks. Furthermore, they underscore attitudes and behaviors that may increase vulnerability to infectious diseases, highlighting the importance of targeted health promotion and prevention strategies in this demographic. Full article

As environmental conservation and community development gain importance, ecotourism has emerged as a significant segment of the global tourism industry. However, the cultural factors that drive tourist behavior in this domain remain underexplored. This research examined how power distance belief (PDB), interacts with the type of tourism content shared on social media (conspicuous versus experiential) to influence travelers’ ecotourism intentions. To test our hypotheses, we conducted two experimental studies using a 2 (PDB: high vs. low) × 2 (tourism content type: conspicuous vs. experiential) between-subjects design. Participants for both experiments (N = 480) were recruited through an online survey platform. In the experiments, participants’ PDB was situationally primed, and tourism content type was manipulated using specifically created fictitious posts adapted from a real social media platform. Other key variables were measured using validated multi-item scales. Data were analyzed using analysis of variance (ANOVA) and moderated mediation analysis (PROCESS Model 15). The findings reveal that travelers with high PDB show higher ecotourism intentions when exposed to conspicuous content, whereas travelers with low PDB exhibit higher intentions when exposed to experiential content. This interactive effect is mediated by travelers’ social comparison motives. These findings offer novel insights into the motivations underlying ecotourism behavior by identifying distinct pathways through which social media can promote sustainable tourism behaviors, and provide practical guidance for eco-destination managers to design targeted marketing strategies that encourage sustainable tourism practices across different consumer segments. Full article