Changing Trends Research Articles

The Role of E-Commerce in Increasing MSME Revenue (Case Study of Nayo Fruit Salad, Medan Area District, Medan City, Indonesian)

The trend change in using e-commerce from retail to culinary has an impact on the increasing number of UMKM partnering with food delivery e-commerce. The problem is only 36 percent of the 30 million UMKM targeted by the government to go online in 2024. The purpose of this study is to determine the role of food delivery e-commerce in increasing UMKM revenue. One of the UMKM has partnered with food delivery e-commerce is Nayo Salad. The research population is Nayo Salad consumers who shop using food delivery e-commerce grabfood, gofood and shopeefood. The sample of this study were 120 people. The study was conducted with a quantitative approach, to see the relationship between purchasing decisions with reasons to buy, food delivery e-commerce used and payment methods used by consumers. The results show that there are differences in the number of UMKM revenues before and after partnering with food delivery e-commerce. The results of this research hoped can be a motivation, example and raw model for other UMKM that have not partnered with food delivery e-commerce.

Causes and trends in modern geopolitical changes

In today's world, geopolitical transformations are gaining particular importance, creating new challenges and opportunities for countries. The article aims to identify the causes of geopolitical transformations and determine the main directions of their development. The research methodology involves a holistic approach to the economic development of the world economy, the study of the main geopolitical trends, and the assessment of the impact of military conflicts and competition in digital technologies. The study results revealed that the growth of the economic power of the new centres of power causes a redistribution of global economic resources. In turn, military conflicts, such as the war in Ukraine and Israel, significantly affect international relations. The results revealed increased competition in digital technologies, affecting countries' global competitiveness. The study's practical significance lies in determining the strategic directions of the countries' development in the conditions of geopolitical transformation and providing recommendations to reduce the negative consequences of the economic slowdown. The article outlines the role of innovation and technological progress in maintaining economic stability and security. Several recommended measures are provided to increase the stability of national economies and strengthen international cooperation. The prospects for further research are developing political and economic strategies that consider the specifics of modern geopolitical processes.

Serum proteomic changes related to residual impairment in remittent depression are associated with immune and inflammatory processes.

In patients with major depressive disorder, various functional areas are impaired, negatively impacting the quality of life. Remission can restore pre-depression functions; however, some patients may still have residual impairments. Distinguishing between near-normal recovery and residual impairment helps identify those at a high risk of relapse risk and helps tailor treatment. Accordingly, we aimed to discover and validate biomarkers that distinguish between near-normal recovery and residual impairment in remission states through serum proteome analysis. Pooled serum and individual serum samples from three groups (depression status, remission status with residual impairment, and remission status with normal recovery) were analyzed using liquid chromatography-tandem mass spectrometry. The combination of four proteins-antithrombin-III, serum amyloid A4 protein, C1q subcomponent subunit B, and serum amyloid P-component-was selected as a candidate biomarker. The trend of protein changes suggests complement C1q subcomponent subunit B and serum amyloid P-component as potential biomarkers for distinguishing remission from residual impairment. Changes in complement C1q subcomponent subunit B and serum amyloid P-component suggest that the complement system and inflammation-related immune mechanisms are associated with residual impairment in remittent major depressive disorder.

Global, Regional, and National Burden of Nonrheumatic Valvular Heart Disease and Its Attributable Risk Factors in 204 Countries and Territories, 1990 to 2019: Results From the Global Burden of Disease Study 2019.

Nonrheumatic valvular heart disease (NRVD) is increasingly becoming a significant public health concern, particularly among older people. In the context of population aging, a detailed report on the epidemiological trends of NRVD is crucial for policymakers to effectively allocate health care resources. This study aimed to explore these trends using data from the GBD (Global Burden of Disease) 2019 study. We assessed the changing trends of the incidence, mortality, and disability-adjusted life years rates for NRVD by calculating the estimated annual percentage change for each. Additionally, we examined the impact of a region's level of social development on NRVD epidemiological trends and identified key risk factors contributing to NRVD-related deaths. Between 1990 and 2019, the global incidence of NRVD showed a gradual increase, with an estimated annual percentage change of 0.39 (95% CI, 0.30-0.48). The data revealed that women and older people are more likely to develop NRVD. High-sociodemographic index countries exhibited higher age-standardized incidence and mortality rates compared with low- and middle-sociodemographic index countries. The most significant risk factor for NRVD-related mortality was identified as high systolic blood pressure. Over the past 3 decades, the burden of NRVD has intensified, indicating a need for more health care resources to address this issue, which is closely associated with an aging population. Currently, high-sociodemographic index countries report the highest incidences and deaths due to NRVD. However, low- and middle-sociodemographic index countries should also implement measures to manage the rapidly increasing burden of NRVD.

Adapting spatiotemporal gait symmetry to functional electrical stimulation during treadmill walking.

Individuals with neurological impairments often exhibit asymmetrical gait patterns. This study explored the potential of using functional electrical stimulation (FES) as a perturbation method during treadmill walking to promote gait symmetry adaptation by investigating whether the FES perturbation could induce gait adaptation concerning spatial and temporal gait symmetry in healthy subjects. In the FES perturbation, both legs received electrical pulses at the same period as the subjects' initial stride duration, and the temporal gap between the two pulses for each leg was manipulated over a 7-min period. Following this, subjects continued to walk for another 5 minutes without FES. Subjects participated in two trials: implicit and explicit. In the implicit trial, they walked comfortably during FES perturbation without consciously adjusting their gait. In the explicit trial, they voluntarily synchronized their toe-off phase to the stimulation timing. To examine the effects of the FES perturbation, we measured step length and stance time and then analyzed changes in step length and stance time symmetries alongside their subsequent aftereffects. During the explicit trial, subjects adapted their gait patterns to the electrical pulses, resulting in a directional change in stance time (temporal) symmetry, with the left stance becoming shorter than the right. The stance time asymmetry induced by FES perturbation showed a slight residual effect. In the implicit trial, the directional change trend was slightly observed but not statistically significant. No consistent trend in step length (spatial) symmetry changes was observed in either condition, indicating that subjects may adapt their spatial gait patterns independently of their temporal patterns. Our findings suggest that the applied FES perturbation strategy under explicit condition can induce adaptations in subjects' temporal gait asymmetry, particularly in stance. The implicit condition showed a similar slight trend but was not statistically significant. Further experiments would provide deeper understanding into the mechanism behind subjects' response to FES perturbations, as well as the long-term effects of these perturbations on the spatial and temporal aspects of gait symmetry.

Time-varying displacement excitation and dynamic modeling of angular contact ball bearing with local defects

Angular contact ball bearings will produce fault damage when working for a long time, thus affecting the normal operation of the system. This paper takes angular contact ball bearings with local defects on the outer ring as the research object, proposes a method to distinguish different local defect profiles, establishes a generalized characterization model of time-varying displacement excitation of local defects in angular contact ball bearings, and studies the evolution process of local defects and their displacement excitation mechanism. On this basis, considering the influence of time-varying displacement caused by bearing defects on dynamic characteristics, based on Hertz contact theory, a fault dynamics model of angular contact ball bearings is established, and the correctness of the established model is verified by experiments. In addition, the analysis results show that rectangular local defects will eventually evolve into trapezoidal shapes; the displacement excitation change trends induced by different defect morphologies are different; compared with the length of local defects, the width has a greater impact on displacement excitation. The research results provide a theoretical basis for bearing optimization design and fault diagnosis.

Age trend in the mortality from diseases of the circulatory system during the pandemic under a decrease in air pollution

Introduction. The results of large-scale studies of the mortality from diseases of the circulatory system (DCS) during the pandemic require further analysis of the data and the search for modifying factors. The purpose is to identify the features of the trend in the mortality from DCS in the population of an industrial center during a pandemic under changes in air pollution. Materials and methods. The research was carried out in the industrial center – Bratsk. Age-specific mortality rates were studied using exponential models in the background (2017) and pandemic (2021) periods. The contribution of atmospheric air pollution to the mortality rate was calculated in accordance with the “Guidelines for assessing the risk to public health from exposure to chemical substances that pollute the environment.” Results. The age-related increase in the mortality rate from DCS over 2017 was 125%, and during 2021 – 172%. During the pandemic, the excess mortality rate was in cases older 80 years – 35.92‰, 70–79 – 8.48‰, 60–69 – 1.03‰. PM10 levels in the air decreased from high to alarming levels in 2021, resulting in a reduction in excess PM10-related deaths from 194 (CI: 193.6–195.1) to 5.0 (CI: 4.8–5.1) cases. Limitations are associated with incomplete epidemiological knowledge about the dependence of mortality from DCS on exposure to air pollutants. Conclusion. The use of nonlinear regression analysis made it possible to demonstrate changes in trends in age-specific mortality during the background period and during the pandemic. During the pandemic, the level of excess mortality was revealed to relate with PM10 air pollution decreased.

Decoupling analysis of economic development and human well-being: A case study of the Qinghai-Xizang Plateau, China.

Clarifying the relationship between economic development and human well-being is conducive to promoting high-quality economic development. This study focused on 16 prefecture-level cities in the Qinghai-Xizang Plateau region. The critic weighting method assessed the 2007-2018 human well-being index (HWI). The Tapio decoupling model allowed the study of the human well-being decoupling state. Finally, the drivers of decoupling between economic development and human well-being were analyzed using the Logarithmic Mean Divisia Index method. The results indicated that (1) almost all cities in the study region had an upward 2007-2018 HWI trend, but there were significant differences in growth magnitude and change trend. (2) Economic development and human well-being in the study region in 2007-2018 had expansion negative decoupling, thus, human well-being increased with economic growth, but not as fast as gross domestic product. 9 cities in 2007 showed weak decoupling, expansion connection, and expansion negative decoupling, increasing to 13 cities by 2018, indicating that human well-being development gradually improved from 2007 to 2018. (3) For most cities, the economic scale effect was the most influential factor in the decoupling of economic development and human well-being. Therefore, this study provided policy recommendations for decoupling economic development and human well-being.

Diagnostic value of nocturnal trend changes in a dynamic electrocardiogram for coronary heart disease

ObjectiveTo explore the diagnostic value of intermittent changes in the nocturnal ST segment trend graph in a dynamic electrocardiogram (ECG) for coronary heart disease (CHD).MethodsA total of 205 patients who underwent coronary angiography were included in this retrospective study. The study sample was determined through a power analysis aimed at achieving power of 80% with a significance level of 0.05. The participants were divided into the CHD (n = 101) and the non-CHD (n = 104) group, based on the degree of coronary artery diameter stenosis. The morphological changes in the ST segment trend graph were observed and divided into two categories: ‘wall-shaped’ and ‘peak-shaped’ changes.ResultsAmong the 205 patients, 94 had nocturnal ST segment dynamic changes and 111 did not. The detection rate of CHD without nocturnal ST segment dynamic changes was 21.59%, significantly lower than the detection rate of 93.18% in those with nocturnal ST segment changes, reflecting a statistically significant difference (P < 0.05). The positive rate of ST segment in patients with single-vessel disease (71.88%) was lower than in patients with multi-vessel disease (78.57%), and both differences were statistically significant (P < 0.05). The duration of ST segment trend graph changes in 94 cases in the CHD group with intermittent changes in the nocturnal ST segment trend graph was higher than in the non-CHD group, but no significant difference was observed (P > 0.05). The detection rate of CHD in the peak-shaped dynamic change group of the nocturnal ST segment trend graph was significantly higher (76/82) than in the wall-shaped (6/82) dynamic change group (P < 0.05).ConclusionPeak-shaped changes in the nocturnal ST segment trend graph indicate coronary artery lesions. Nocturnal ST segment changes observed through dynamic ECG monitoring can serve as a valuable non-invasive predictor for CHD, providing a feasible method for early diagnosis and intervention in clinical practice.

Spatiotemporal Dynamics and Driving Factors of Vegetation Greenness in Typical Tourist Region: A Case Study of Hainan Island, China

Vegetation greenness has been one of the most widely utilized indicators to assess the vegetation growth status for the better ecological environment. However, in typical tourist regions, the impact of the geographical environment, socioeconomic development, and tourism development on vegetation greenness changes is still a challenge. To address this challenge, we used the Google Earth Engine (GEE) cloud platform combined with a series of Landsat remote sensing images to calculate the fractional vegetation cover (FVC) which can be used as an indicator to characterize the spatiotemporal evolution of vegetation greenness in Hainan Island from 2000 to 2020. Furthermore, we employed geographic detector and structural equation models to quantify the relative importance and explanatory power of the geographical environment, socioeconomic development, and tourism development on vegetation greenness changes and to clarify the interaction of mechanisms of various factors in Haikou and Sanya. The results show that the annual growth rate of the FVC in Hainan Island was 0.0025/a. In terms of spatial distribution, the trend of the FVC changes was mainly characterized by non-significant and extremely significant improvement, accounting for 35.34% and 29.38% of the study area. Future vegetation greenness was dominated by weak counter-persistent increase and weak persistent increase. The geographical environmental factors were the main factors affecting vegetation greenness in Haikou, followed by the socioeconomic and the tourism development factors, while the geographical environmental factors also dominate in Sanya, followed by the tourism development factors and finally the socioeconomic factors. Specifically, the spatial distribution of vegetation greenness was primarily influenced by land use types, elevation, slope, and travel services. Geographical environmental factors could indirectly affect changes in socioeconomic and tourism development, thereby indirectly affecting the spatial distribution of vegetation greenness. These findings can provide some significant implications to guide the ecological environmental protection for sustainable development in Hainan Island in China.

The trend of correlation changes of macronutrient intakes among different familial pairs: a prospective study among participants of Tehran Lipid and Glucose Study

Background/AimFamilial resemblance in dietary patterns has been a subject of interest, with both genetic and environmental factors playing crucial roles. This study aims to investigate trends in macronutrient intake correlations over a 9-year period among different familial pairs, including parent-offspring, siblings, and spouses, using data from the Tehran Lipid and Glucose Study (TLGS).MethodsThis longitudinal study, conducted within the framework of the TLGS, analyzed data from 1,814 families over a 9-year period. Dietary intakes were assessed using a validated 168-item food frequency questionnaire. Macronutrient intakes were calculated and adjusted for age. Familial correlations were estimated using intraclass correlation coefficients for various familial pairs (parent-offspring, siblings, and spouses) across four consecutive surveys. Changes in correlations were analyzed over 3-year, 6-year, and 9-year intervals, as well as across all four surveys, to determine overall trends in macronutrient intake correlations.ResultsThe results revealed diverse trends in intake correlations for carbohydrates, proteins, fats, and specific fatty acids across familial relationships. Parent-offspring dyads exhibited varied patterns, with some nutrients showing regression to the mean. Sister-sister pairs demonstrated strengthening correlations for energy, carbohydrates, fats, and saturated fatty acids over time. Conversely, brother-sister pairs displayed weakening correlations for most macronutrients, particularly energy, proteins, cholesterol, and fiber. Spouse correlations tended towards regression to the mean for energy, carbohydrates, and fats, and fiber.ConclusionsThe present study illuminates the dynamic nature of familial dietary correlations over time. The contrasting trends between sister-sister and brother-sister dyads suggest a significant influence of gender on shared dietary patterns. These findings underscore the complex interplay of genetic and environmental factors in shaping family dietary behaviors and highlight the importance of considering both gender and relationship type when examining familial nutritional habits.

Digital twins for electric propulsion technologies

As the space industry is undergoing an evolution, the current approaches toward design, development, and qualification of Electric Propulsion (EP) systems largely based on empirical “trial-and-error” methodologies are falling short of addressing the emerging needs and keeping abreast of the rapid changes in market trends. Furthermore, with the proliferation of Artificial Intelligence (AI) within the space industry toward next-generation autonomous satellites and spacecrafts, the conventional EP monitoring and control strategies become inadequate and need to give way to approaches compatible with satellite-level autonomy requirements. A digital twin (DT) – a technology capable of providing an accurate dynamically adapting virtual representation of a physical asset – is a game-changing concept that catalyzes the transcendence of the EP industry past its pressing challenges today. In this paper, we aim to: (i) define the DT concept, highlighting how it surpasses traditional modelling, (ii) enumerate the DT’s breakthrough promises for the EP industry, and (iii) specify the challenges to realize practical and scalable EP DTs. Additionally, we report on the technical progress achieved and/or planned at Imperial Plasma Propulsion Laboratory to fill the foundational gaps in three building block elements of DTs, namely, (i) a cost-effective kinetic model to generate extensive high-fidelity databases for machine learning (ML), (ii) ML-enabled models for prediction and analysis of performance and operational behavior, and (iii) a DT architecture that integrates the numerical models in terms of a computing infrastructure and provides data pipelines and interfaces for the DT’s data exchanges with the real world, its dynamic updating, and uncertainty quantification.

Durability properties of ambient-cured fly ash-phosphogypsum blended geopolymer mortar in terms of water absorption, porosity, and sulfate resistance

This paper aimed to investigate the durability of ambient-cured fly ash-phosphogypsum blended geopolymer mortar (GPM) when exposed to a water and sulfate environment at different durations. Water absorption, porosity, and sulfate resistance tests were conducted to determine the durability. The GPM was prepared at 0 wt%, 30 wt%, and 40 wt% PG replacement of fly ash content in the mixture. The mix proportions were determined experimentally at 10 M sodium hydroxide, alkaline liquid/precursor of 0.4, sodium silicate/sodium hydroxide of 1.5, and binder/aggregate of 1.0. The samples were immersed in potable water and magnesium sulfate solution. The changes in weight, length, and compressive strength were monitored. Scanning electron microscopy-energy dispersive X-ray spectroscopy was used to analyze the structure and composition. The findings showed that GPM with 30 wt% phosphogypsum added had lower water absorption, porosity, and sulfate attack than GPM with 0 wt% phosphogypsum attributed to the formation of hydrated gels leading to a dense microstructure and improved strength. The changes in weight, length, and strength variations trend for GPM were within optimal performance standards. This has implications for the practical application of GPM in construction where it can be used as an alternative to Portland cement mortar in sulfate-rich environments.

Impact of the COVID-19 pandemic on initiation of antihypertensive drugs in Sweden: an interrupted time series study

ObjectivesAntihypertensives reduce the risk of myocardial infarction and stroke. Restrictions during the COVID-19 pandemic limited access to healthcare, which may have had a negative impact on drug prescribing. This study...

Neural network cognitive analysis of accumulation metals by marigold

The article presents the results of studies to assess the effect of humic acids, taken at a concentration of 250 ppm, on the process of induced phytoextraction of heavy metals from soils selected near Norilsk. Phytoxtraction was carried out by different types of marigold plants: Tagetes patula and Tagetes erecta. The studies were carried out in greenhouse conditions under controlled spectral illumination (light culture). The duration of the experiment was 21 days. A short vegetation period was chosen based on the conditions of a short summer period typical for this region, where it is more rational to keep records of the systemic removal of toxicants from contaminated soils by several cycles of their sowing/cutting per season, already at the juvenile phase of ontogenesis. For elemental analysis, the method of atomic emission spectrometry with inductively coupled plasma was used. To assess the level of efficiency of metal accumulation, the authors developed and used the original computing neural network CompNN, which allows calculating the cognitive significance index (CSI) based on empirical data on the accumulation of toxicants, both in shoots and roots of plants. The results of the study showed that the introduction of an organic additive in the form of humic acids into the soil led to inhibition of the growth of the above-ground part of T. patula. As for T. erecta, the rate of accumulation of green plant biomass did not change when humic acids were added. The decrease in the biomass of shoots of T. patula plants is explained by an increase in the accumulation of metals in them by an average of 91.6% for the variants. The content of metals in the shoots of T. erecta under the influence of humic acids, on the contrary, decreased by 17.3% on average. A similar result was observed in relation to the root zone: the trend of change in the fixation of metals for both plant species here was 40.8 and 10.8%, respectively. Calculation of CSI indices also showed that the addition of humic acids in T. patula increases the intensity of metal accumulation from the soil in its biomass in all variants, while in T. erecta, on the contrary, it decreases. The performed cluster analysis demonstrated the fixation of metals in the main buffer zone of plants, and also made it possible to isolate nickel into a separate homogeneous series. With regard to the distribution of this element in the shoots by variants, experience has shown that it has demonstrated here the proximity of convergence with copper. The correlation coefficients of their accumulation with the CSI index in the shoots of both plants were r = 0.82; 0.87 for Cu and r = 0.87; 0.83 for Ni. The proximity of these values indicates the priority nature of the accumulation of these metals in the plant biomass of marigolds, and also characterizes the manifestation of certain interactions between them in contaminated soil by the type of antagonism or synergism.

Trends in Road Traffic Injuries Mortality in India: An Analysis from the Global Burden of Disease Study 1990-2021.

Road traffic injury (RTI) is one of the most common causes of accidental deaths in India. The study investigates the changes in trends in age-standardised RTI mortality rates in India by sex and age groups, using data from the Global Burden of Disease (GBD) Study 2021. The trend segments are estimated from 1990 to 2021 employing a joinpoint regression model. Additionally, the influence of age, time period, and birth cohort on mortality rate trends was assessed using the age-period-cohort model. Over the past 32 years, the RTI mortality rates have experienced multiple trend segments. RTI mortality rate in the ≤ 14-year-old population has declined remarkably, dropping from 5.71 (4.65 to 6.88) per lakh population in 1990 to 3.66 (3.01 to 4.35) per lakh population in 2010, and further declining to 1.98 (1.65 to 2.37) per lakh population in 2021. The study found a positive correlation between RTI mortality rates and age, with rates consistently lower for women compared to men across all age groups. The variation in RTI mortality rates across Indian states has widened over time, with the coefficient of variation increasing from 30.58% in 1990 to 32.36% in 2010, and further to 35.11% in 2021. Despite efforts, Indian states are unlikely to achieve the goal of halving RTI deaths by 2030, based on 2010 levels. To address this, road conditions and road safety policies aimed at preventing the incidence of RTIs should be further intensified.

Temporal trend of the global prevalence rate of tension-type headache in children and adolescents in 1990-2021

To investigate the prevalence of tension-type headache (TTH) in children and adolescents aged 0-19 years globally in 1990-2021, and to provide a basis for the prevention and treatment of TTH. Based on the Global Burden of Disease Study data, the age-standardized prevalence distribution of TTH and its changing trend were analyzed among the children and adolescents aged 0-19 years, with different sexes, age groups, sociodemographic index (SDI) regions and countries/territories. The age-standardized prevalence rate (ASPR) of TTH in children and adolescents aged 0-19 globally in 2021 was 17 339.89/100 000, which was increased by 1.73% since 1990. The ASPR in females was slightly higher than that in males (1990: 17 707.65/100 000 vs 16 403.78/100 000; 2021: 17 946.29/100 000 vs 16 763.09/100 000). The ASPR in adolescence was significantly higher than that in school-aged and preschool periods (1990: 27 672.04/100 000 vs 10 134.16/100 000; 2021: 28 239.04/100 000 vs 10 059.39/100 000). Regions with high SDI exhibited a higher ASPR than the other regions, with significant differences in prevalence rates across different countries. From 1990 to 2021, there was a slight increase in global ASPR, with an average annual percentage change (AAPC) of 0.06%. Females experienced a smaller increase than males based on AAPC (0.04% vs 0.07%). There was reduction in ASPR in preschool and school-aged groups, with an AAPC of -0.02%, while there was a significant increase in ASPR in adolescence, with an AAPC of 0.07%. ASPR decreased in regions with low-middle and low levels of SDI, with an AAPC of -0.02% and -0.04%, respectively, while it increased in regions with middle SDI, with an AAPC of 0.24%. There is a consistent increase in the ASPR of TTH in children and adolescents aged 0-19 years globally, with significant differences across sexes, age groups, SDI regions and countries/territories.

Erythrocyte nicotinamide adenine dinucleotide concentration is enhanced by systematic sports participation

BackgroundNicotinamide adenine dinucleotide (NAD+), nicotinamide adenine dinucleotide phosphate (NADP+), and their reduced forms (NADH and NADPH) are the vital cofactors for most cellular oxidation/reduction reactions and therefore influence most critical pathways in cellular metabolism. This study aimed to predict the trends of age-related changes in erythrocyte NAD+ and NADP+ concentrations in elite athletes compared to untrained controls and to assess whether life-long physical training stimulates favorable adaptations in erythrocyte NAD(P)+ concentrations.MethodsErythrocyte concentrations of NAD+ and NADP+ were measured in 68 elite endurance runners (20–81 years), 58 elite sprinters (21–90 years), and 62 untrained individuals (20–68 years). Linear regression analyses were performed to estimate longitudinal relationships and cross-sectional rates of change between age and erythrocyte NAD+ and NADP+ levels. One-way analysis of variance was used to determine differences between the studied groups.ResultsIn all three groups, the erythrocyte NAD+ and NADP+ concentrations significantly decreased with advancing age, suggesting gradual deterioration of NAD-related regulatory functions in older individuals. However, the concentration of erythrocyte NAD(P)+, regardless of age category, was higher in the athletic groups compared to less active controls.ConclusionsOur research shows that systematic sports participation, especially of a sprint-oriented nature, can be treated as a natural and effective strategy promoting cellular NAD(P)+ anabolism and thus cells’ energy and redox metabolism.Trial registrationThe study was retrospectively registered in the clinical trials registry on 2021-11-09 (NCT05113914).

Reversibility in Structural Dynamics on Pt−Ni Bimetallic Nanocrystals under Redox Conditions

AbstractThe reversibility of structural change in a bimetallic catalyst during the chemical reaction is an essential factor to determine the catalytic stability. Herein, we investigate the surface modulation of three Pt−Ni bimetallic alloy nanoparticle compositions (Pt3Ni1, Pt1Ni1, and Pt1Ni3) under alternating redox cycles. We validate trends in the structural change of the three compositions of Pt−Ni nanoparticles via spectroscopic/microscopic investigations at bulk and atomic levels. Pt‐rich Pt−Ni nanoparticles exhibited higher reversibility in structural change during the repeated redox cycles. On the contrary, Ni‐rich Pt−Ni nanoparticles showed irreversible structural changes, leading to the segregation and separation of Ni species from the alloy, which could deactivate the catalysts. This work demonstrates the reversibility of structural dynamics in alloy catalysts depending on their composition, providing fundamental insights for developing ideal bimetallic catalysts.

Analysis of Influential Factors of House Prices in Shenzhen

The change of house prices in Shenzhen can reflect the trend of house price changes in China, to a certain extent. This text chose the Factor Analysis Method to Specific analyze influential factors. This text put F1 as a variable, which included Total Floor Space of Residential Buildings Sold, Permanent Population, Total Floor Space under Construction of Commodity Housing, Investment in Real Estate Development, Gross Domestic Product, Local Budgetary Revenue and Expenditure. Through analyzing the data, this text deduced that Longgang, Baoan and Nanshan districts had above average values on F1. This text put F2 as a variable, which included Per Capital Disposable Income of Permanent Households and Growth Rate of Real Estate Investment, etc. Through analyzing the data, this text deduced that Nanshan, Luohu, Futian districts had above average values on F2. This text can conclude that Nanshan, Baoan and Futian Districts had a great influence on house prices in Shenzhen.