Intense Activity Research Articles

Validation and invariance testing of the English Short Physical activity enjoyment scale

Enjoyment is recognized as a determinant of physical activity habits. The enjoyment of engaging in physical activity can be measured with the Physical Activity Enjoyment Scale (PACES). Later versions of this scale have been shortened to capture the component of subjective feeling, which has been validated using German-speaking samples. The aim of this study was to examine internal consistency, factorial validity, criterion-related validity, test-retest reliability, and measurement invariance (across gender and languages) in an English-speaking population. Data on physical activity enjoyment and self-reported physical activity were collected through an online survey with a test-retest design (n = 276,189 female, M = 42.55, SD = 16.81 years) conducted from September 2023 to December 2023. In addition, a German-speaking sample (n = 1017, 497 female, M = 29.77, SD = 13.54 years) was analyzed to assess measurement invariance with respect to language. McDonald’s omega at time 1 was ω = 0.95. The confirmatory factor analysis supports the assumption of the unidimensional structure of PACES-S (χ2 = 19.8, df = 2, p < 0.05; CFI = 0.984; RMSEA = 0.180, 90% CI [0.113–0.256]), as the model fit can be estimated as good in view of the CFI value, while the sensitivity of the χ2 test is very high and the RMSEA may underestimate the model fit. Although the RMSEA value is higher than the conventional threshold, the small number of degrees of freedom may have a significant impact on this indicator. The criterion-related validity for light physical activity was r(107) = 0.26 (p < 0.05). The retest reliability was r(199) = 0.69 (p < 0.05). Further, the results supported measurement invariance across gender and partial measurement invariance across languages. Overall, the English PACES-S demonstrated good psychometric properties specifically for light intensity of physical activity, and can serve as an economical instrument to assess physical activity enjoyment.

Ecological Risk of Heavy Metals in an Eco-Industrial Park in China

ABSTRACT To ascertain whether rapid industrialization has affected the accumulation of heavy metals (HMs) in Suzhou Industrial Park (SIP), China, the occurrence and ecological risk of HMs, including Cu, Zn, Pb, Cr, Cd, Ni, As and Hg in sediments were analyzed. The results indicated that total concentrations of HMs (mg kg−1) were in the descending sequence of Zn (235.28) > Cr (95.71) > Cu (78.91) > Ni (55.51) > Pb (23.96) > As (22.12) > Cd (0.38) > Hg (0.14). The concentrations of HMs, except for Ni and Cd, were found to be below the probable effect level (PEL). Correlation analysis (CA) and principal component analysis (PCA) showed that HMs in SIP mainly originated from anthropogenic activities. HMs were mainly in residual fractions (55.5 ~ 95.1%), and the exchangeable fractions of Zn and Cd were relatively high. The risk assessment results indicated that Hg and Cd significantly contributed to ecological risks, whereas Cr and Pb made relatively minor contributions. Our findings indicated that intense anthropogenic activities promote HMs accumulations in streams in SIP during rapid industrialization.

The new insight of tectonic setting in Sunda–Banda transition zone using tomography seismic. Case study: 7.1 M deep earthquake 29 August 2023

Abstract The Sunda–Banda arc transition zone features the collision of the Indo-Australian oceanic plate and the Australian continent, resulting in intricate geological and geodynamic conditions. Tectonic activity in this region is shaped by the convergence of multiple major plates, including the Indo-Australian oceanic plate and the Eurasian plate. The crustal structure along the Sunda–Banda arc transition zone is complex and influenced by various factors such as subduction, continental collision, and volcanic activity. The tectonic complexity of the region in eastern Indonesia makes it an interesting area for study. In this research, International Seismological Centre-Engdahl-van der Hilst-Buland catalogue data from 1964 to 2020 were used, which include recorded information on 69.705 earthquake events from 1.185 recording stations and consist of 2.943.974 P phases. Resolution testing was performed using various velocity grids, and optimal results were obtained with a medium resolution of ∼100 km × 100 km × 80 km for the inversion process. The tomographic inversion analysis provided valuable insights into subsurface structures within Earth’s crust and mantle up to a depth of approximately 750 km. The occurrence of deep earthquakes in the study area has provided valuable insights into complex dynamics associated with subduction and plate tectonics. The results of the tomographic inversion analysis reveal that earthquakes are concentrated in areas with high-velocity anomalies, indicating intense tectonic activity near the subduction zone. This study offers the perspective on the structural complexities and earthquake origins in the Sunda–Banda arc transition zone following the 2023 Mw 7.1 Bali Sea earthquake, which occurred on August 29, 2023, at 02:55:32 UTC + 7, approximately 163 km northeast of Lombok, Indonesia. This earthquake was caused by slab pull activity from the Australian Plate and involved a combination of downward and oblique-normal movement. These characteristics indicate the convergence and interaction between tectonic plates in the subduction process occurring in the Bali Sea area. As a result, there have been frequent occurrences of various tectonic and volcanic activities including earthquakes of different magnitudes. These results highlight the significance of the high-velocity anomaly connected to this occurrence, offering valuable insights into seismic behaviour and tectonic phenomena in the region. The findings of this study indicate that the deep earthquakes in the Bali Sea may be induced by faulting due to the transformation of metastable olivine into denser spinel at significant depths, along with shear instability caused by phase transitions within Earth’s mantle layers. This theory proposes that stress-induced changes in phase can initiate shear instabilities and subsequently lead to deep earthquakes.

Ecosystem damage by increasing tropical cyclones

Climate change is driving an ongoing increase in tropical cyclone (TC) activity. While global economic losses are projected to double by 2100, there are no comparable predictions for TC impacts to coastal ecosystems that protect and sustain human lives and livelihoods. Here, rising North Atlantic TC (NATC) activity from 1970 to 2019, influenced by anthropogenic and natural climate forcing, is used to study the ecosystem impacts of intensifying TCs, potentially indicative of broader future climate change scenarios. Analysis of 97 NATC landfalls revealed 891 immediate post-storm impacts on ecosystems, with particularly detrimental effects on mangrove forests. Specifically, NATCs reduced the performance of individual species. Additionally, they altered community structure and processes through impacts on foundation species and their associated organisms. The severity of impacts was directly correlated with NATC landfall intensity (wind speed) for mangroves, whereas changes to waves, surge, sediments, and salinity caused most impacts on coral reefs, salt marshes, seagrass meadows, and oyster reefs (respectively), indicating complex intensity-damage interactions for many ecosystems. The analyses also revealed a positive correlation between very intense NATC activity and ecosystem damages. The research highlights a concerning trend of escalating impacts on coastal ecosystems under rising storm intensities, with the potential to challenge ecosystem resilience.

Unveiling Relationship Between Specific Domain, Intensity, and Dose of Physical Activity and Biological Age: A Cross-Sectional Study.

Existing studies have separately explored the association between specific intensity and domain of physical activity (PA) and biological age (BA), potentially impeding more precise guide. We used data of 5216 middle-aged and older adults aged 45 and over to explore and compare the relationship of different domains, intensities, and doses of PA and BA. Transport-related walking and leisure-time moderate-intensity PA (MPA) were significantly associated with younger BA, rather than other intensity of work-related PA. There were U-shaped dose-response relationships between transport-related BA or leisure-time MPA and BA. In subgroup analyses for older adults, all intensities of PA were significantly associated with decreased BA. These findings highlighted the importance of considering the domain, intensity, and dose of PA in designing effective age-delaying interventions.

Association of daily physical activity with pulmonary artery pressure in HFpEF and HFmrEF NYHA class III patients: a pilot trial—feasibility and first results

Abstract Introduction Supervised physical exercise has been shown to benefit patients with heart failure with preserved/mildly reduced ejection fraction (HFpEF/HfmrEF) by improving symptoms and diastolic function. This study aimed to investigate the correlation between unsupervised daily physical activity and changes in daily pulmonary artery pressure (PAP) in patients with stable NYHA class III heart failure (HF) and left ventricular ejection fraction (LVEF) of 45% or higher. Methods Daily physical activity was monitored over a 3-month period using a Holter-ECG with an accelerometer that calculated an activity-associated, heart rate-derived metabolic equivalent of task (MET) score. PAP was measured using an implanted sensor in 17 patients. Results During 3 months of PAP monitoring in parallel with Holter ECG in our HF patients (median age 77 [IQR 72–79.5] years, LVEF 55 [49–56] %, mean cardiac index 1.9 ± 0.3), mean, diastolic, and systolic PAP remained unchanged. Patients engaged in unsupervised daily activity with a mean MET score of 5.0 ± 1.2 and a median daily duration of 41 [13–123] minutes. Intensity of daily activity was associated with a higher diastolic PAP on the following day (R2 = 0.017, p = 0.003), particularly in female patients and those with pulmonary hypertension (PH) (female: R2 = 0.044, p = 0.002; PH: R2 = 0.024, p = 0.004). Patients with longer daily activity durations had lower systolic and mean PAP (p = 0.038 and p = 0.048) and a similar diastolic PAP (p = 0.053) after 3 months. Conclusions Tracking changes in daily PAP based on intensity and duration of unsupervised daily activity using implanted sensors and a PocketECG® is feasible. While daily activity duration was not directly linked to diastolic PAP on the first day after daily activity, intensity, especially in female and PH patients, was associated with increased diastolic PAP. In addition, longer daily activity, rather than higher intensity, might be more important for lowering PAP in the long term. Further research in larger trials is warranted to confirm these findings.

Research on Occurrence Law and the Prevention of Rockbursts in Main Roadways Affected by Mining Activities: Two Case Studies from Gaojiapu and Cuimu Coal Mines, Shaanxi, China

Rockburst, one of the leading types of disaster in mining and rock engineering causing serious injuries and the loss of property, frequently occurs, involving various features and complex evolutionary mechanisms. Compared to rockbursts occurring at mining faces, those occurring in main roadways cause more serious problems for mine production. This paper first analyzes the characteristics of rockbursts in main roadways using two case studies involving the Gaojiapu and Cuimu coal mines. The causes of rockbursts in main roadways were studied using microseismic monitoring, energy density cloud maps, and seismic velocity tomography. During the mining of the 22306 working face in the Cuimu coal mine, targeted measures, such as deep-hole blasting of the roof strata and deep-hole blasting of the coal seam, were implemented to prevent rockbursts in the main roadways. The effectiveness of these measures was verified through long-term analysis of tremor activities. The study found that the influence of mining at two working faces on both sides of main roadways was significantly greater than that from a single-sided working face. The intensity of the tremor activities occurring near the main roadways was correlated with the distance from the working face to the main roadways. The closer the working face was to the main roadways, the stronger the tremor activities were near the main roadways. According to the distribution range of the tremors, the influence area of working face mining exceeded 800 m, with tremors distributed linearly along the main roadways. Even five months after the completion of working face mining, there were still a large number of tremors near the main roadways, which gradually disappeared after another five months. Mining activities were the main reason for the occurrence of main roadway rockbursts and the stress concentration within the main roadways themselves was another reason for the occurrence of rockbursts. The influence of working face mining could be reduced by deep-hole blasting of roof strata and the stress concentration within main roadways themselves could be reduced by large-diameter drilling. Those joint preventive measures effectively prevented the occurrence of rockbursts in main roadways. This study is of important theoretical and practical significance for further studies of rockburst mechanisms and prevention in regard to main roadways in coal mines, and the findings are significant in terms of the enhancement of safety in coal mines.

Quantification of streamflow response to climate change and human activities within upstream mountainous areas of the Daqing River Basin, Northern China

The Daqinghe River Basin is located in the North China Plain. In recent years, however, climate warming, drying, and intense human activities have led to declining ecosystem functions and shrinking wetlands in the region. Understanding streamflow changes in the upstream mountainous areas of the Daqinghe River Basin in this changing environment and identifying the driving factors can provide a scientific basis for water resources management and optimization in these areas. This study focuses on the Beihedian River watershed, the Xidayang Reservoir watershed, and the Wangkuai Reservoir watershed in the upstream mountainous areas of the Daqinghe River. It is based on hydro-meteorological data collected between 1963 and 2019. The methods used in the study include the linear tendency estimation method, the non-parametric Mann-Kendall trend test, the elasticity coefficient method, and hydrological simulation methods. The results of this study suggest that the streamflow, precipitation, and potential evapotranspiration (PET) in the three watersheds showed an overall decreasing trend. The minimum precipitation decrease rate ranged from −1.09 to −0.55 mm/a, and the minimum streamflow decreasing rate at the Beihedian Hydrological Station was −1.32 mm/a, with a minimum range of 0–176.03 mm. Change-point analysis revealed that the streamflow in the Beihedian River and Xidayang Reservoir watersheds experienced a significant change point around 1999, with a significant level of α=0.05. As for the Wangkuai Reservoir watershed, a significant change point was observed around 1980, which is likely attributable to land system reforms and protective forest projects. The attribution analysis which combined both climate change and human activities using the elasticity coefficient method and hydrological simulation methods indicated that climate change contributed an average of 32.93%, 34.50%, and 35.12% to the reduction in streamflow in the three watersheds, respectively. Human activities accounted for an average contribution of 67.07%, 65.50%, and 64.88%, respectively. Water conservancy projects, afforestation, and other human activities were identified as the primary factors contributing to streamflow decreases.

Association of cognitive performance with overall, dosage, intensity, and domain physical activity in aging: NHANES 2011–2014

BackgroundThe specific relationship between PA in detailed types and cognition is still unclear due to limited evidence. Our study aimed to investigate the relationship between cognitive performance and various aspects of physical activity, including overall activity, dosage, intensity levels [moderate physical activity (MPA), vigorous PA], and different domains of activity [occupational PA (OPA), transportation PA (TPA), and leisure-time PA (LTPA)] in older adults using data from the NHANES database.MethodsThis cross-sectional analysis used data from 2 cycles of NHANES (2011–2014). PA was determined through participants' self-reports using the Global Physical Activity Questionnaire (GPAQ). Cognitive performance was evaluated by the presence of psychometric mild cognitive impairment (p-MCI), identified based on a composite measure derived from three cognitive tests including the Consortium to Establish a Registry for Alzheimer's Disease (CERAD), the Animal Fluency test, and the Digit Symbol Substitution test (DSST). Logistic regression models were used to evaluate the association.ResultsA total of 2588 participants aged 60 years or older were included, with an average age of 69.4 years and 48% being male. In the fully adjusted model, compared to no PA, performing 300 min of PA, and MPA were associated with 44%, and 33% reductions in the prevalence of p-MCI, respectively. Additionally, engaging in 1–149 min/week [OR 0.56, 95% CI (0.33–0.92)] and ≥ 300 min/week [OR 0.66, 95% CI (0.44–0.96)] of OPA, as well as ≥ 300 min/week [OR 0.56, 95% CI (0.36–0.86)] of LTPA, were also associated with a lower prevalence of p-MCI. Additionally, engaging in a diverse range of PA had better outcomes.ConclusionsOur results suggested a positive association between higher levels of PA and enhanced cognitive performance. Different intensities and domains of PA have varying impacts on cognition. Future exploration, such as objectively measured PA and longitudinal studies were needed to validate our conclusion.

Multi-Scale Effects of Supply–Demand Changes in Water-Related Ecosystem Services Across Different Landscapes in River Basin

To promote sustainable hierarchical management, it is essential to understand the complex relationships within and underlying causes of supply–demand changes in water-related ecosystem services (WESs) across different spatial scales and landscape patterns. Consequently, the Optimal Parameters-based Geographical Detector (OPGD) and Multi-Scale Geographically Weighted Regression (MGWR) are used to analyze the factors influencing changes in WESs supply–demand. The findings indicate that (1) at the macroscale, population size, and economic activity are the main driving factors, while at the microscale, precipitation becomes the primary factor influencing fluctuations in WESs supply–demand. (2) Furthermore, over time, the influence of social factors becomes increasingly significant. (3) The explanatory power of a single factor typically increases as it interacts with other factors. (4) Abundant precipitation helps in the generation and maintenance of WESs, but intense human activities may have negative impacts on them. Therefore, we have made significant progress in identifying and analyzing the natural and human-induced driving forces affecting changes in WESs by deeply integrating long-term multi-source remote sensing data with the OPGD and MGWR models.

Hybrid genetic algorithm with Wiener process for multi-scale colored balanced traveling salesman problem

Colored traveling salesman problem (CTSP) can be applied to Multi-machine Engineering Systems (MES) in industry, colored balanced traveling salesman problem (CBTSP) is a variant of CTSP, which can be used to model the optimization problems with partially overlapped workspace such as the planning optimization (For example, process planning, assembly planning, productions scheduling). The traditional algorithms have been used to solve CBTSP, however, they are limited both in solution quality and solving speed, and the scale of CBTSP is also restricted. Moreover, the traditional algorithms still have the problems such as lacking theoretical support of mathematical physics. In order to improve these, this paper proposes a novel hybrid genetic algorithm (NHGA) based on Wiener process (ITÖ process) and generating neighborhood solution (GNS) to solve multi-scale CBTSP problem. NHGA firstly uses dual-chromosome coding to construct the solutions of CBTSP, then they are updated by the crossover operator, mutation operator and GNS. The crossover length of the crossover operator and the city number of the mutation operator are controlled by activity intensity based on ITÖ process, while the city keeping probability of GNS can be learned or obtained by Wiener process. The experiments show that NHGA can demonstrate an improvement over the state-of-art algorithms for multi-scale CBTSP in term of solution quality.

Exploring the built environment impacts on Online Car-hailing waiting time: An empirical study in Beijing

Waiting time is a critical metric for evaluating the quality of online car-hailing services, with studies indicating a close association between Online Car-hailing waiting time (CWT) and the urban built environment (BE). Points of interest (POI) data is widely utilized to characterize the built environment. However, quantifying the proper combination or spatial relationships between different types of POIs to capture the functional features of the built environment within a region poses a challenge. This paper proposes a framework for analyzing built environment characteristics based on a semantic probabilistic topic model utilizing Latent Dirichlet Allocation, demonstrating that integrating the building area of POIs along with the travel activity intensity at their respective locations enables a more precise identification of regional functions. Moreover, while some studies have explored the correlation between the built environment and waiting time, few have evaluated the nonlinear interactions between them. On this foundation, employing the machine learning technique XGBoost model in conjunction with online car-hailing order data, we probe the relationship between the built environment and waiting time. The research indicates that CWT is comprehensively affected by multiple factors. Taking weekday evening peak period as an example, the CWT of Central-urban area, where has dense commercial and office land use, positively correlated with commercial and office topics, while negatively correlated with educational, residential, leisure and healthcare topics, leading to a longer CWT in the Central-urban. In addition, the interaction between BEs can weakens their individual effects on CWT. A higher degree of job-residence balance can mitigate the negative impact of residential and office topics on increasing CWT, particularly in Intermediate-urban areas. Additionally, BE topics may also suppress the positive effect of road density on reducing CWT. The relationship between the BE and CWT exhibits threshold effects and a V-shaped relationship, indicating that the BE is significantly associated with CWT only within specific ranges. This correlation also exhibits a gradient pattern from the Central-urban to the Sub-urban, especially concerning office and residential topics. These outcomes elucidate the salient ranges of the built environment that exert substantial impacts on waiting time, informing strategic planning for online car-hailing dispatch and urban development to augment passenger travel satisfaction.

Areas of maximum intensity of avalanche formation in the Greater Caucasus associated with large anomalies of temperature and humidity regime

The purpose of this paper is to substantiate the geographical boundaries of areas which are distinguished in the Greater Caucasus by the intensity of avalanche formation at the large-scale hydrometeorological anomalies and can be classified as “epicentres” of the avalanche activity. For the period of snow avalanche observations in the Caucasus in the 20th century, the Nature did twice demonstrate “experiments” in the winters of 1975/76 and 1986/87, during which especially intensive releases of avalanches occurred in the same areas of the southern macro-slope of the Central Caucasus. This work is an effort to answer the question ‒ why the main impacts of the snow disasters occurred within the boundaries of the same territories. The results of the analysis show that the highest intensity of avalanche activity is observed in those areas where three factors of avalanche formation are simultaneously realized: a big number of large avalanche catchments, including ancient glacial cirque zones (corries); high snowiness; types of snow favourable for the mass releases of especially strong avalanches. In the Caucasus, these criteria are met by the usually identified watershed zone of the Main Caucasus Range and, as the analysis showed, the territory of mountainous Georgia in the Inguri River basin (with tributaries of the Nenskra, Nakra, Mestia-Chala, Dolra, Mulkhura rivers), as well as the upper reaches of the river Kodori (Abkhazia). According to the USSR Glacier Inventory (1986), up to 80% of the corrie relief forms of the southern macro-slope of the Caucasus are concentrated in the basins of the Inguri and Kodori rivers, many of which are centres of origin of especially strong avalanches. The high snowiness of this territory, as compared to neighbouring areas, is conditioned by the influence of the orography and the climate effect, that is seen on the map of the solid precipitation distribution in the Atlas of Snow and Ice Resources of the World (1997). Only in this sector of the Greater Caucasus is there a kind of “peninsula” of high snowfall extending for tens of kilometers towards the moisture-bearing airflows from the Black Sea. Temperature conditions in the zone of increased snow accumulation are the factor contributing to the avalanche formation, which is manifested in its structural, textural and strength properties.

Unravelling motives and time use of additional leave in a flexible benefits plan: a mixed-methods case study in Belgium

Working-time reduction emerges as a promising measure for fostering a well-being economy, as it allows to reconsider time allocation between paid labour and other activities, potentially improving human and environmental well-being. This study investigates the motives for and planned time use of additional leave in the context of a flexible benefits plan, a specific form of working-time reduction that is increasingly popular among employees and employers. Despite its popularity, little is known about the rationale behind this choice and its potential to create socio-environmental benefits. Data were collected from a Belgian media company in 2022 using a mixed-methods approach, comprising a survey (N = 241) and semi-structured interviews (N = 13). The findings reveal that a mix of motives matters for choosing additional leave, including push, pull, personal and contextual factors, as well as the specifics of the flexible benefits plan. While the desire for more leisure emerges as a primary driver, difficulties in taking up the standard amount of leave present a key barrier. Employees plan to use their extra leave for diverse activities, mainly personal and social activities, household tasks, travel, and ad-hoc pursuits. However, preferences vary based on parental status, with couples having children primarily intending to use the leave for caregiving responsibilities. Notably, the primary activities for intended time use align with increased well-being and have relatively low environmental impacts, although positive effects may be partially offset for well-being (such as when paid work is replaced with unpaid care or household work) or for the environment (such as when spending the extra leave on environmentally intensive (travel) activities). These findings tentatively suggest that choosing additional leave in flexible benefits plans could contribute to a well-being economy.

Modeling the Spatial Flows of Nitrogen: The Case of Xiamen

Rapid city expansion and intensive human activities have remarkably affected nitrogen flow, leading to increasingly intricate spatial heterogeneity of nitrogen flow. Focused on the temporal characteristics of nitrogen flow at certain city scales, the existing research has missed comprehensive grid-scale spatial models for nitrogen flow. To address this gap, this study develops a comprehensive spatial model for nitrogen flow by incorporating both natural and anthropic processes. Taking Xiamen as its research case, this study utilizes grid technology and spatial analysis to build a detailed spatial model for nitrogen flow at the grid scale. The results of spatial characteristics of Xiamen in 2015 revealed that hotspots of nitrogen input were primarily located in the surrounding areas outside and east of Xiamen, with the maximum nitrogen input reaching 20.07 × 104 kg/ha. However, the hotspots of nitrogen load in the atmosphere were concentrated in the urban center (i.e., Xiamen Island) and the nearby sea areas. The maximum nitrogen outputs can reach 18.32 × 104 kg/ha, which is 18 times the total nitrogen output to the water environment. Additionally, it was found that a significant gradient correlation exists between nitrogen flow and population density. These findings provide support for low-nitrogen spatial planning and emission reduction policymaking.

Significant negative impact of human activities on carbon storage in the Yellow River Delta over the past three decades

With the increasing intensification of human activities, significant changes in land use and land cover (LULC) have posed a severe threat to the carbon storage capacity of wetland ecosystems. A deep understanding of this impact is crucial for protecting regional ecosystems and promoting sustainable development. This study utilized the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model and the human activity intensity (HAI) index to conduct detailed grid analysis and global analysis of carbon storage through creating fishnet system and explored the complex relationship between carbon storage and HAI in the Yellow River Delta (YRD), China. The results indicated that over the past 30 years, natural wetlands such as meadow wetlands and salt marshes in the study area had undergone significant degradation due to escalating human activities, while artificial wetlands and non-wetland areas expanded. Concurrently, the total regional carbon storage had declined by 2.08 Tg, representing a significant drop of 8.22 % in the YRD from 1990 to 2020. Among them, dry land, as the primary land type, served as the most crucial carbon pool. Additionally, the human activity intensity of land surface (HAILS) increased significantly, with a growth rate of 37.27 %. HAI mapping revealed a continuous expansion of areas with high HAI. In contrast, the Yellow River Delta National Nature Reserve (YRDNNR) maintained relatively low HAI. Correlation analysis further showed the significant negative correlation (p < 0.01) between carbon storage and HAI, with r values of grid analysis ranging from −0.1395 to −0.0344, while that for global analysis was −0.9643, respectively. This reflected the spatial heterogeneity and agglomeration effects of data analysis across different scales. This study provides valuable insights for achieving the “dual carbon” goals and supporting the conservation and management of wetland ecosystems.

Revised Cross-Correlation and Time-Lag between Cosmic Ray Intensity and Solar Activity Using Chatterjee’s Correlation Coefficient

This study revisits the cross-correlation between cosmic ray intensity (CRI) and solar activity (SA) by comparing traditional Pearson correlation with Chatterjee’s correlation coefficient. Traditional analyses using Pearson correlation are useful for identifying linear relationships and time lags. However, they may not fully capture more complex interactions in the data. Chatterjee’s correlation coefficient, while sensitive to different types of relationships, including nonlinear ones, provides a complementary perspective on the temporal relationships between CRI and SA. This approach broadens our understanding of potential dependencies, offering additional insights that may not be captured through Pearson correlation alone.The findings reveal that Chatterjee’s correlation complements Pearson’s insights by providing an alternative view of the relationship between cosmic ray intensity (CRI) and solar activity (SA). The results show that Chatterjee’s correlation coefficients are, on average, approximately 45-50% smaller than Pearson’s, which could reflect different sensitivities to the underlying data structure rather than solely indicating a nonlinear component. Additionally, the time lags identified using Chatterjee’s correlation are generally shorter and more consistent across different solar cycles compared to those obtained with Pearson’s correlation, suggesting that CCC may capture temporal patterns in a distinct manner.Further analysis using Dynamic Time Warping (DTW) and Mean Absolute Percentage Error (MAPE) metrics demonstrated that, in more than half of the scenarios considered, alignment based on Chatterjee’s time lags resulted in lower errors and better alignment of the series compared to Pearson’s lags. This indicates that Chatterjee’s method is particularly effective for capturing the immediate and nuanced responses of CRI to SA changes, especially in recent solar cycles.This comprehensive approach provides broader insights into the dynamic interactions between cosmic ray intensity (CRI) and solar activity (SA), highlighting the importance of considering multiple correlation measures, including both linear and nonlinear approaches, in space weather research. The results suggest that Chatterjee’s correlation offers a complementary perspective on these interactions, providing additional details about how SA influences CRI over time, which may not be fully captured by Pearson’s correlation alone.

Different intensities of physical activity for amyotrophic lateral sclerosis and Parkinson disease: A Mendelian randomization study and meta-analysis.

The causal relationships between amyotrophic lateral sclerosis (ALS), Parkinson disease and different intensities of physical activity (PA) are still inconclusive. To evaluate the causal impact of PA on ALS and Parkinson disease (PD), this study integrates evidence from Mendelian randomization (MR) using a meta-analysis approach. MR analyses on genetically predicted levels of PA (compose of self-reported moderate-to-vigorous physical activity [MVPA], self-reported vigorous physical activity [VPA], and strenuous sports or other exercises [SSOE]) regarding ALS and PD published up to July 27, 2024, were obtained from PubMed, Scopus, Web of Science, and Embase. De novo MR studies were analyzed utilizing publicly accessible datasets from genome-wide association studies and then meta-analyses were performed to pool the results. Meta-analyses of results of 12 de novo MR studies analyses and 2 published MR studies indicated that genetic predicted levels of MVPA (odds ratio [OR]: 1.22, 95% confidence interval [CI]: 1.08-1.38), VPA (OR: 1.32, 95% CI: 1.08-1.60), and SSOE (OR: 1.35, 95% CI: 1.07-1.70) were related to a raised risk of ALS, but not causally with PD. Our findings showed no causal relationships between MVPA, VPA, SSOE, and PD, while MVPA, VPA, and SSOE were associated with increased ALS risk, highlighting the need for targeted PA recommendations for disease management.

Does Government Environmental Concern Affect Enterprise Sustainable Development? Evidence from China

As the executor and agent of China’s environmental policy, local governments’ environmental concern reflects local governments’ determination in environmental governance. To figure out how the strengthening environmental concerns affect enterprises’ long-term activities, this study focuses on pharmaceutical manufacturing enterprises due to the enormous and complex composition of emissions. We apply bag of words to summarize relevant environmental words from the annual work reports in local governments to measure environmental concern. The empirical results of the OLS method reveal that the increasing environmental concerns of local governments did decrease the growth rate of chemical oxygen demand (COD) emission authentically. At the same time, it will inhibit the research and experimental development (R&amp;D) activity intensity, but promote production efficiency of pharmaceutical manufacturing enterprises. After that, we discuss the heterogeneity of enterprise ownership, corporate social responsibility and regional regulatory strength of enterprises. Overall, we conclude that environmental concern did reduce COD emission and promote production efficiency, but it also has negative spillover effects. The novel contribution of this paper is that it enriches the trade-off between strengthening environmental compliance costs and long-term production and innovation activities. These results indicate that pharmaceutical manufacturing enterprises prioritize optimizing existing production processes instead of adopting efficient technology when complying with stricter environmental regulation. The reduction of R&amp;D activities may pose risks to the long-term sustainable development of enterprises.

Покращення рухової активності в учнів 5 класів засобами рухливих ігор

The purpose of the work is to substantiate theoretically and verify experimentally the effectiveness of the method for improving 5th grade students’ motor activity by means of mobile games. Material and methods. The pedagogical experiment was carried out on the basis of the Krolevets Lyceum No. 1 of the Krolevets City Council of the Sumy Region. It enrolled 32 students of 5th grade from the main medical group. They were divided into a control group (CG, n=16, 5-A grade) and an experimental group (EG, n=16, 5-B grade). The term of the pedagogical experiment was September-November, 2023. Pupils of CG and EG studied according to the Model curriculum "Physical culture. 5-6 grades" for institutions of general secondary education. During Physical Education lessons in the CG, the teacher followed the planned tasks and work plan. A developed method of improving motor activity by means of mobile games was implemented in EG. Research methods: theoretical analysis of scientific and methodical literature, pedagogical experiment. The level of motor activity was determined on the basis of a set of indicators: the time of students’ motor activity with a reflection of its content and quality at different moments of the regime, which was determined with the method of individual timing; the amount of motor activity using the pedometry method for quantitative assessment of motor activity; the intensity of motor activity by the pulsometry method (calculation of heart rate in bpm) when various types of muscle activity were performed; methods of mathematical statistics. The results. At the ascertaining stage of the pedagogical experiment, the following indicators of the 5th grade students’ motor activity level were obtained: in CG, 3 students (19%) had a high level, 7 students (44%) had an average level, and 6 students (37%) had a low level. In EG, 3 students (19%) had a high level, 6 students (37%) had an average level, and 7 students (44%) had a low level. It is necessary to note that the indicators of CG and EG were at the same level. At the formative stage of the pedagogical experiment, a method for improving the motor activity of 5th grade students by means of mobile games was developed and implemented. The developed method was implemented into all forms of physical culture and health work in institution of general secondary education. Its content included mobile games directly during Physical Education lessons and during other forms. The developed method was implemented in three directions, in particular with students, teachers and parents. At the control stage of the pedagogical experiment, the following indicators were obtained: in CG, 4 students (25%) had a high level of motor activity, 7 students (44%) had an average level, and 5 students (31%) had a low level. In EG, 6 students (38%) had a high level of motor activity, 7 students (44%) had an average level, 3 students (18%) had a low level. Thus, in CG there is a significant percentage of 5th grade students who have a low level of motor activity, while in EG there are high and average levels of motor activity among 5th grade students. This fact proves the effectiveness of developed method for improving 5th grade students’ motor activity by means of mobile games. Conclusions. The method we had developed for improving 5th grade students’ motor activity by means of mobile games confirmed its effectiveness during the experimental test and can be recommended for use in the practical activities of a Physical Education teacher.