The large-scale exploitation of vanadium(Ⅴ) bearing minerals has led to a massive accumulation of Ⅴ tailings, of which Ⅴ pollution poses severe ecological risks. Although the mechanisms of Ⅴ stress to the microbia...The large-scale exploitation of vanadium(Ⅴ) bearing minerals has led to a massive accumulation of Ⅴ tailings, of which Ⅴ pollution poses severe ecological risks. Although the mechanisms of Ⅴ stress to the microbial community have been reported, the influential pathways in a multi-medium-containing system, for example, the soil-tailings-groundwater system,are unknown. The dynamic redox conditions and substance exchange within the system exhibited complex Ⅴ stress on the local microbial communities. In this study, the influence pathways of Ⅴ stress to the microbial community in the soil-tailings-groundwater system were first investigated. High Ⅴ contents were observed in groundwater(139.2 ± 0.15 μg/L) and soil(98.0–323.8 ± 0.02 mg/kg), respectively. Distinct microbial composition was observed for soil and groundwater, where soil showed the highest level of diversity and richness. Firmicutes, Proteobacteria, Actinobacteria, and Acidobacteria were dominant in soil and groundwater with a sum relative abundance of around 80 %. Based on redundancy analysis and structural equation models, Ⅴ was one of the vital driving factors affecting microbial communities. Groundwater microbial communities were influenced by Ⅴ via Cr, dissolved oxygen, and total nitrogen, while Fe, Mn, and total phosphorus were the key mediators for Ⅴ to affect soil microbial communities. Ⅴ affected the microbial community via metabolic pathways related to carbonaceous matter, which was involved in the establishment of survival strategies for metal stress. This study provides novel insights into the influence pathways of Ⅴ on the microorganisms in tailings reservoir for pollution bioremediation.展开更多
1 No one likes acknowledging that their thoughts and behaviors are easily influenced outside of their awareness.However,Daniel M.Wegner,author of The Illusion of Conscious Will,explains that people ignore how easily t...1 No one likes acknowledging that their thoughts and behaviors are easily influenced outside of their awareness.However,Daniel M.Wegner,author of The Illusion of Conscious Will,explains that people ignore how easily they can be manipulated(操纵)because they don't feel they are being manipulated.This is what happens:After our unconscious(无意识)mind motivates a thought or action,this urge or thought is then sent to our conscious mind.Here,we become aware of it and have the false impression of generating it independently.展开更多
Personalized nursing is a necessary means to improve the satisfaction of emergency pediatric nursing.It can enhance the responsiveness of nursing services,strengthen the emotional connection between nurses and patient...Personalized nursing is a necessary means to improve the satisfaction of emergency pediatric nursing.It can enhance the responsiveness of nursing services,strengthen the emotional connection between nurses and patients,and provide a theoretical basis for clinical practice.Therefore,in the context of the new era,it is necessary to deeply analyze the essence and connotation of personalized nursing,and analyze the existing deficiencies in current emergency pediatric personalized nursing,so as to develop effective improvement plans.Research shows that personalized nursing can significantly improve the satisfaction of emergency pediatric nursing,largely avoid nursing risks,and has strong clinical application value.This article summarizes and explores the research on the influence of personalized nursing on improving the satisfaction of emergency pediatric nursing,and puts forward corresponding views.展开更多
On June 3,Scopus,a database owned by Elsevier,released CiteScore 2024 metrics for academic journal evaluation.Both the Chinese and English editions of Petroleum Exploration and Development achieved record highs in the...On June 3,Scopus,a database owned by Elsevier,released CiteScore 2024 metrics for academic journal evaluation.Both the Chinese and English editions of Petroleum Exploration and Development achieved record highs in the past year,ranking among the top in various categories.The CiteScore of the Chinese edition increased to 9.9 in 2024 from 8.4 in 2023,ranking 13th out of 330 journals in the Earth and Planetary Sciences:Geology category and 2lst out of 239 journals in the Earth and Planetary Sciences:Geotechnical Engineering and Engineering Geology category.展开更多
By large-scale cold mold experiments,pressure pulsation signals within the jet influence zone of riser reactor are processed by using Hilbert-Huang analysis(HHT)in this study.Effects of different jet forms and operati...By large-scale cold mold experiments,pressure pulsation signals within the jet influence zone of riser reactor are processed by using Hilbert-Huang analysis(HHT)in this study.Effects of different jet forms and operating conditions on the intrinsic mode function(IMF)energy and Hilbert-Huang spectrum are compared.Results show that the IMF energy and Hilbert-Huang spectrum of pressure pulsation signals show significant differences under the influence of upward and downward jets.Moreover,the change of jet velocity will also lead to significant changes in IMF energy and Hilbert-Huang spectrum.Among them,energy values and energy proportions corresponding to high-frequency pressure pulsations show a good correlation with the jet velocity.On this basis,energy value and energy proportion data in the high frequency range of the original pressure signal are clustered and analyzed by using the K-means clustering algorithm.Based on clustering results,the jet influence zone of riser can be defined into three regions.From partitioning results,it is found that the introduction of downward inclined jets could effectively improve the gas-solid mixing in the feed injection zone of riser.展开更多
The multiscale computational method with asymptotic analysis and reduced-order homogenization(ROH)gives a practical numerical solution for engineering problems,especially composite materials.Under the ROH framework,a ...The multiscale computational method with asymptotic analysis and reduced-order homogenization(ROH)gives a practical numerical solution for engineering problems,especially composite materials.Under the ROH framework,a partition-based unitcell structure at the mesoscale is utilized to give a mechanical state at the macro-scale quadrature point with pre-evaluated influence functions.In the past,the“1-phase,1-partition”rule was usually adopted in numerical analysis,where one constituent phase at the mesoscale formed one partition.The numerical cost then is significantly reduced by introducing an assumption that the mechanical responses are the same all the time at the same constituent,while it also introduces numerical inaccuracy.This study proposes a new partitioning method for fibrous unitcells under a reduced-order homogenization methodology.In this method,the fiber phase remains 1 partition,but the matrix phase is divided into 2 partitions,which refers to the“12”partitioning scheme.Analytical elastic influence+functions are derived by introducing the elastic strain energy equivalence(Hill-Mandel condition).This research also obtains the analytical eigenstrain influence functions by alleviating the so-called“inclusion-locking”phenomenon.In addition,a numerical approach to minimize the error of strain energy density is introduced to determine the partitioning of the matrix phase.Several numerical examples are presented to compare the differences among direct numerical simulation(DNS),“11”,and“12”partitioning schemes.The numerical simulations show improved++numerical accuracy by the“12”partitioning scheme.展开更多
Social media has emerged as a major global influence on consumer behavior in recent years.User-generated,interactive content is made possible by platforms like Facebook,Instagram,YouTube,and TikTok,and it has a big im...Social media has emerged as a major global influence on consumer behavior in recent years.User-generated,interactive content is made possible by platforms like Facebook,Instagram,YouTube,and TikTok,and it has a big impact on opinions and buying decisions.Therefore,the objective of this research was to examine the influence of social media(online reviews,social media influencers,eWOM,advertisements,social media usage laws,and information)on consumers’purchase decisions of electronic products.Guided by the theory of planned behavior and social influence theory,a quantitative approach was used,with data collected via a structured questionnaire from 150 respondents over four weeks.Analysis was conducted using SPSS 30.SPSS analysis demonstrated that social media usage laws and social media influencers had a strong positive correlation with consumers’purchase decisions,highlighting their pivotal role in shaping preferences and disseminating information.Reliable and accessible product information also emerged as a significant predictor of consumer choices.In contrast,online reviews,eWOM,and advertisements exhibited minimal influence within this context or might have adverse influence.This article provides guidelines for electronic products to prioritize social media strategies,invest in high-quality information dissemination,and leverage influencer partnerships to effectively engage consumers and drive sales.展开更多
With increasingly severe global climate change,a low-carbon economy has become an inevitable trend in the development of the international community.Low-carbon economy is not only related to environmental protection b...With increasingly severe global climate change,a low-carbon economy has become an inevitable trend in the development of the international community.Low-carbon economy is not only related to environmental protection but also has a profound impact on international trade.The purpose of this paper is to explore the impact of a low-carbon economy on the development of international trade and put forward corresponding strategy suggestions.By analyzing the connotation,characteristics,and mechanism of the low-carbon economy on international trade,this paper reveals the important role of the low-carbon economy in promoting the optimization of international trade structure,promoting green technology innovation,and strengthening international cooperation.At the same time,given the challenges brought by a low-carbon economy,this paper puts forward strategies such as strengthening policy guidance,promoting green technology innovation,and improving international trade rules to provide a reference for the sustainable development of international trade[1,2].展开更多
Landfalling tropical cyclones(TCs)pose tremendous hazards to East Asian coastal areas,particularly in East China,a densely populated and economically vital center.This underscores the critical need for a more in-depth...Landfalling tropical cyclones(TCs)pose tremendous hazards to East Asian coastal areas,particularly in East China,a densely populated and economically vital center.This underscores the critical need for a more in-depth investigation into the evolving characteristics and influences of these landfalling TCs.In this study,we explored changes in landfalling TC activity during 1965–2022 and estimated their influences in East China.Our findings demonstrate that the annual frequency of landfalling TCs has exhibited a slight increase since the mid-1990s,while their overall influences have significantly intensified.This intensification is closely associated with the prolonged duration of TCs over land after landfall.The results also reveal that longer overland sustainment is attributed to the descending vertical wind shear(VWS)and ascending low-layer moisture supply over the corresponding areas.In addition,the annual mean genesis location of these landfalling TCs has shown a significant westward migration,which may be advantageous to the increase in TC influences.展开更多
Taking 138 key rural tourism villages in Beijing for example,this paper applied GIS analysis to analyze the spatial distribution characteristics of these villages,selected the influence factors of the villages conside...Taking 138 key rural tourism villages in Beijing for example,this paper applied GIS analysis to analyze the spatial distribution characteristics of these villages,selected the influence factors of the villages considering the classification characteristics,so as to explore the impact of different influence factors on its spatial distribution.The results showed(i)Key rural tourism villages in Beijing manifested an aggregated distribution on the whole,they were unevenly distributed and mostly located in the fringe area of northern mountainous areas and plains,such as Huairou District and Miyun District.Such a“multi-center distribution”pattern was significantly influenced by terrains and natural resources.(ii)Depending on local natural and cultural resources,tourism resources,development characteristics and functional differences,key rural tourism villages in Beijing could be devided into natural scenery type,scenic area-dependent type and agriculture experiencing type.(iii)Key factors influencing the distribution of these villages included mean temperature,annual precipitation,quantity of scenic area,road network density,agricultural land and so on,and the interaction of dual factors exerted more significant impact on single factors.展开更多
With the progress of information technology,the digital transformation of enterprises has developed into a key strategy to improve competitiveness.This paper studies the influence of digital transformation of enterpri...With the progress of information technology,the digital transformation of enterprises has developed into a key strategy to improve competitiveness.This paper studies the influence of digital transformation of enterprises on the quality of accounting information and its countermeasures,discusses how digital transformation reshapes the ability of accounting information processing,transparency,sharing,and decision support,and analyzes the challenges in technology,management,and data security during this period.Through in-depth analysis,this paper puts forward a series of targeted countermeasures,including strengthening technology and system construction,optimizing management and processes,strengthening data security and privacy protection,and promoting the improvement of laws and standards,hoping to provide practical guidance for improving the quality of accounting information in the digital transformation of enterprises.展开更多
This paper focuses on Chengdu and Chongqing’s positioning as important economic center in western China and their evolving into an economic center of national influence.On the one hand,it uses the synthetic differenc...This paper focuses on Chengdu and Chongqing’s positioning as important economic center in western China and their evolving into an economic center of national influence.On the one hand,it uses the synthetic difference-in-differences(SDID)method to analyze the impact of policies since 2011 designed to build Chengdu and Chongqing into an important economic center in western China.On the other hand,it employs the entropy-weighted TOPSIS method to comprehensively evaluate the influences of ten core Chinese cities as economic centers within four major urban agglomerations,as well as conduct an analytical assessment of the Chengdu-Chongqing economic circle from key perspectives such as its capacity to lead,capacity to agglomerate,and capacity to radiate.From a longitudinal historical perspective,both Chengdu and Chongqing have benefited significantly from policies designed to build an important economic center in western China,and which laid a foundation for building an economic center of national influence.From a horizontal regional comparison,among the ten core cities evaluated as economic centers within the four major urban agglomerations,Chengdu and Chongqing ranked in the middle,possessing a moderate but not yet outstanding influence.Consequently,to evolve into an economic center of national influence,the Chengdu-Chongqing economic circle should leverage its relative advantages in connectivity,market size,value chain division of labor,policy attractiveness,and industry development.It can enhance its influence by strengthening the complementarity of its economic resources,overcoming the administrative inertia,accelerating the establishment of a regional innovation system,broadening the scope of its economic radiation,and promoting its comprehensive and all-dimensional opening-up.展开更多
With the rapid development of the marine economy,marine microbiologically influenced corrosion(MIC)has garnered increasing attention.However,most studies have not analyzed the MIC process over continuous and extended ...With the rapid development of the marine economy,marine microbiologically influenced corrosion(MIC)has garnered increasing attention.However,most studies have not analyzed the MIC process over continuous and extended periods,failing to provide a comprehensive understanding of MIC mechanisms at different stages.In this study,the corrosion behavior of EH36 steel caused by Halomonas titanicae in an aerobic enriched seawater over a 30-d incubation period was investigated driven by big data.The results revealed that the corrosion by H.titanicae against EH36 steel evolved dynamically over time.During the initial stages,the aerobic respiration of H.titanicae consumed significant amounts of oxygen,which suppressed the cathodic oxygen reduction process,thereby inhibiting corrosion compared to the abiotic conditions.As time progressed,the accumulation of corrosion products slowed the abiotic corrosion,while the biotic corrosion accelerated due to a shift from aerobic to anaerobic respiration by H.titanicae,utilizing Fe0 and nitrate as electron donors and acceptors,respectively.The big data results are consistent with the weight loss and electrochemical data,demonstrating the reliability of using big data monitoring techniques to characterize microbial corrosion processes.展开更多
Background Recovery colleges (RCs) support personal recovery through education, skill development and social support for people with mental health problems, carers and staff. Guided by co-production and adult learning...Background Recovery colleges (RCs) support personal recovery through education, skill development and social support for people with mental health problems, carers and staff. Guided by co-production and adult learning principles, RCs represent a recent mental health innovation. Since the first RC opened in England in 2009, RCs have expanded to 28 countries and territories. However, most RC research has been conducted in Western countries with similar cultural characteristics, limiting understanding of how RCs can be culturally adapted. The 12-item Recovery Colleges Characterisation and Testing (RECOLLECT) Fidelity Measure (RFM) evaluates the operational fidelity of RCs based on 12 components, but cultural influences on these components remain underexplored.Aims To assess associations between Hofstede’s cultural dimensions and RFM items to identify cultural influences on fidelity components.Methods A cross-sectional survey of RC managers was conducted across all 221 RCs. Mixed-effects regression models examined associations between Hofstede’s country-level cultural dimensions and item-level RFM scores, adjusted for healthcare expenditure and income inequality. Four cultural dimensions, obtained from Hofstede, were analysed: individualism (prioritising personal needs), indulgence (enjoyment-oriented), uncertainty avoidance (preference for predictability) and long-term orientation (future-focused).Results The RFM was completed by 169 (76%) RC managers. Seven RFM items showed associations with cultural dimensions. Equality was linked to short-term orientation, while learning was associated with individualism and uncertainty avoidance. Both individualism and indulgence influenced co-production and community focus. Commitment to recovery was shaped by all four cultural dimensions, with the strongest associations seen for individualism and indulgence. Individualism enhanced explicit focus on strengths-based practice, while uncertainty avoidance influenced course distinctiveness.Conclusions This study demonstrates how culture shapes RC fidelity components, providing actionable insights for cultural adaptation. Incorporating under-represented dimensions, such as collectivism and restraint, could improve the RFM’s global applicability, facilitating implementation. Future research should explore cultural nuances, engage diverse stakeholders and refine fidelity measures to enhance RC inclusivity and effectiveness worldwide.展开更多
The information from sparsely logged wellbores is currently under-utilized in reservoir simulation models and their proxies using deep and machine learning (DL/ML).This is particularly problematic for large heterogene...The information from sparsely logged wellbores is currently under-utilized in reservoir simulation models and their proxies using deep and machine learning (DL/ML).This is particularly problematic for large heterogeneous gas/oil reservoirs being considered for repurposing as gas storage reservoirs for CH_(4),CO_(2) or H_(2) and/or enhanced oil recovery technologies.Lack of well-log data leads to inadequate spatial definition of complex models due to the large uncertainties associated with the extrapolation of petrophysical rock types (PRT) calibrated with limited core data across heterogeneous and/or anisotropic reservoirs.Extracting well-log attributes from the few well logs available in many wells and tying PRT predictions based on them to seismic data has the potential to substantially improve the confidence in PRT 3D-mapping across such reservoirs.That process becomes more efficient when coupled with DL/ML models incorporating feature importance and optimized,dual-objective feature selection techniques.展开更多
Hurricanes cause significant damage to tropical forests;however,little is known of their effects on decomposition and decomposer communities.This study demonstrated that canopy debris deposited during Hurricane Otto s...Hurricanes cause significant damage to tropical forests;however,little is known of their effects on decomposition and decomposer communities.This study demonstrated that canopy debris deposited during Hurricane Otto stimulated sequential changes in soil carbon(C)and nitrogen(N)components,and decomposer microbial communities over 5 years.The initial response phase occurred within 2 years post-hurricane and appeared associated with decomposition of the labile canopy debris,suggested by:increased DNA sequences(MPS)of the Acidobacterial community(as common decomposers of labile plant material),decreases in total organic C(TOC),increased biomass C,respiration,and NH_(4)^(+),conversion of organic C in biomass,and decreased MPS of complex organic C decomposing(CCD_(ec))Fungal community.After 3 years post-hurricane,the later response phase appeared associated with decomposition of the more stable components of the canopy debris,suggested by:increased MPS of the Fungal CCDec community,TOC,stabilized Respiration,decreased Biomass C,the return to pre-hurricane levels of the conversion of organic C to biomass,and decreased MPS of Acidobacterial community.These changes in the microbial community compositions resulted in progressive decomposition of the hurricane-deposited canopy material within 5 years,resulting several potential indicators of different stages of decomposition and soil recovery post-disturbance.展开更多
With rapid development of urbanization and regional interaction and interdependence, regional urban agglomeration planning becomes more and more important in China, in order to promote integrated development of variou...With rapid development of urbanization and regional interaction and interdependence, regional urban agglomeration planning becomes more and more important in China, in order to promote integrated development of various cities with close interrelationship. However, it is still arguable academically on how to define the boundary or which cities to be included for the urban agglomeration of a region. This paper aims to shed lights on how to identify urban spheres of influence scientifically by introducing field modeling method and by practicing a case study on 168 cities in Central China. In our field modeling method, the influence intensities of cities were measured by a compre-ensive index and urban spheres of influence were represented spatially by field intensity. Then, their classification and spatial distribution characteristics of study area in 2007 were identified and explored by using GIS and statistical methods. The result showed that： 1） Wuhan is the absolute dominant city in Central China; 2） the provincial capital cities dominate their own provinces and there are no other lower grade agglomeration centers; and 3） the basic types of organization form of urban sphere of influence are single-polar type, agglomeration type, close-related group type and loose-related group type.展开更多
BACKGROUND Identifying factors that influence non-curative resection(NCR)is critical to optimize treatment strategies and improve patient outcomes in patients with early gastric cancer(EGC).AIM To investigate the fact...BACKGROUND Identifying factors that influence non-curative resection(NCR)is critical to optimize treatment strategies and improve patient outcomes in patients with early gastric cancer(EGC).AIM To investigate the factors influencing the NCR of EGC and to evaluate the predictive value of these factors.METHODS The clinical data of 173 patients with EGC admitted between July 2020 and July 2023 were retrospectively collected.According to radical resection criteria,the patients were further divided into curative resection group(n=143)and NCR group(n=30).Clinical information was collected,including surgical method,tumor diameter,tumor site,ulcer formation,depth of invasion,pathological type,and lymph node metastasis.Logistic regression analysis was used to explore the factors affecting non-curable resection.RESULTS Multivariate logistic regression analysis showed that ulcer formation[odds ratio(OR)=3.53;95%confidence interval(CI):1.55-8.01,P=0.003],pathological type(OR=3.73;95%CI:1.60-8.74,P=0.002),tumor diameter(OR=3.15;95%CI:1.40-7.05,P=0.005),tumor location(OR=3.50;95%CI:1.16-10.58,P=0.027),lymph node metastasis(OR=4.40;95%CI:1.83-10.57,P=0.001),and depth of penetration(OR=3.75;95%CI:1.60-8.74,P=0.002)were all risk factors for NCR in EGC patients.Predictive analysis showed varying area under the curve values for factors such as tumor diameter(0.636),tumor location(0.608),ulcer formation(0.652),infiltration depth(0.658),pathological type(0.656),and lymph node metastasis(0.674).CONCLUSION The results suggest that factors such as tumor diameter,tumor location,ulcer formation,depth of invasion,pathological type,and lymph node metastasis increase the risk of NCR in EGC patients.展开更多
Avoiding excessive enrollment of a single cohort in a clinical trial is prudent in order to avoid imbalances and to prevent one cohort from having a disproportionate influence on the results of a trial and perhaps eve...Avoiding excessive enrollment of a single cohort in a clinical trial is prudent in order to avoid imbalances and to prevent one cohort from having a disproportionate influence on the results of a trial and perhaps even negating positive findings of the clinical trial. Numerical criteria are provided here to evaluate the expected influence of a large cohort as a function of both its size and the relative effect of interventions, in comparison to those of other groups. Measures of expected influence are obtained as a function of the parameters of the distribution of statistics measuring influence. Calculated numerical criteria for the binomial, continuous and time-to-event contexts are presented. Details of the application of this method and sensitivity analyses conducted during the planning stages of a multiple myeloma clinical trial are provided. Numerical criteria are derived under asymptotic conditions and thus results hold for large cohorts. The numerical criteria are easy to compute and are useful tools to assess possible detrimental effects of large cohorts during the design of a study or during enrollment prior to any un-blinding. The numerical criteria allow for a-priori sensitivity analyses of the likely influence of large cohorts under varying conditions.展开更多
Through the analysis of Poe＇s works and his life, the influence of anima in Poe＇s soul is explored in this study according to Carl Jung＇s theory of archetype. Anima is one of the archetypes, which made both negativ...Through the analysis of Poe＇s works and his life, the influence of anima in Poe＇s soul is explored in this study according to Carl Jung＇s theory of archetype. Anima is one of the archetypes, which made both negative and positive influences in Poe＇s life and literary creation, leading him to be the master of poetry and short stories, but also consumed his life and caused his death in the prime. In the study about the influence of anima in Poe, Anima was proved acting as the feminine complement factors in Poe＇s unconscious, and made Poe more sensitive in literary creation. As Poe knew the man＇s world and also understood the woman＇s world, which is the accumulative influence of both negative and positive influences of Anima in Poe, his literary creativity was strong and he had the unique aesthetics.展开更多
基金supported by the National Natural Science Foundation of China(No.42377415)the Natural Science Foundation of Sichuan Province(No.2023NSFSC0811),Sichuan Science and Technology Program(Nos.2021JDTD0013 and 2021YFQ0066)+1 种基金the Science and Technology Major Project of Xizhang Autonomous Region of China(No.XZ202201ZD0004G06)the Everest Scientific Research Program(No.80000-2023ZF11405).
文摘The large-scale exploitation of vanadium(Ⅴ) bearing minerals has led to a massive accumulation of Ⅴ tailings, of which Ⅴ pollution poses severe ecological risks. Although the mechanisms of Ⅴ stress to the microbial community have been reported, the influential pathways in a multi-medium-containing system, for example, the soil-tailings-groundwater system,are unknown. The dynamic redox conditions and substance exchange within the system exhibited complex Ⅴ stress on the local microbial communities. In this study, the influence pathways of Ⅴ stress to the microbial community in the soil-tailings-groundwater system were first investigated. High Ⅴ contents were observed in groundwater(139.2 ± 0.15 μg/L) and soil(98.0–323.8 ± 0.02 mg/kg), respectively. Distinct microbial composition was observed for soil and groundwater, where soil showed the highest level of diversity and richness. Firmicutes, Proteobacteria, Actinobacteria, and Acidobacteria were dominant in soil and groundwater with a sum relative abundance of around 80 %. Based on redundancy analysis and structural equation models, Ⅴ was one of the vital driving factors affecting microbial communities. Groundwater microbial communities were influenced by Ⅴ via Cr, dissolved oxygen, and total nitrogen, while Fe, Mn, and total phosphorus were the key mediators for Ⅴ to affect soil microbial communities. Ⅴ affected the microbial community via metabolic pathways related to carbonaceous matter, which was involved in the establishment of survival strategies for metal stress. This study provides novel insights into the influence pathways of Ⅴ on the microorganisms in tailings reservoir for pollution bioremediation.
文摘1 No one likes acknowledging that their thoughts and behaviors are easily influenced outside of their awareness.However,Daniel M.Wegner,author of The Illusion of Conscious Will,explains that people ignore how easily they can be manipulated(操纵)because they don't feel they are being manipulated.This is what happens:After our unconscious(无意识)mind motivates a thought or action,this urge or thought is then sent to our conscious mind.Here,we become aware of it and have the false impression of generating it independently.
文摘Personalized nursing is a necessary means to improve the satisfaction of emergency pediatric nursing.It can enhance the responsiveness of nursing services,strengthen the emotional connection between nurses and patients,and provide a theoretical basis for clinical practice.Therefore,in the context of the new era,it is necessary to deeply analyze the essence and connotation of personalized nursing,and analyze the existing deficiencies in current emergency pediatric personalized nursing,so as to develop effective improvement plans.Research shows that personalized nursing can significantly improve the satisfaction of emergency pediatric nursing,largely avoid nursing risks,and has strong clinical application value.This article summarizes and explores the research on the influence of personalized nursing on improving the satisfaction of emergency pediatric nursing,and puts forward corresponding views.
文摘On June 3,Scopus,a database owned by Elsevier,released CiteScore 2024 metrics for academic journal evaluation.Both the Chinese and English editions of Petroleum Exploration and Development achieved record highs in the past year,ranking among the top in various categories.The CiteScore of the Chinese edition increased to 9.9 in 2024 from 8.4 in 2023,ranking 13th out of 330 journals in the Earth and Planetary Sciences:Geology category and 2lst out of 239 journals in the Earth and Planetary Sciences:Geotechnical Engineering and Engineering Geology category.
基金sponsored by the National Key Research and Development Program of China(No.2022YFA1506200)the CNPC Innovation Found(No.2024DQ02-0203)the open foundation of State Key Laboratory of Chemical Engineering(No.SKL-ChE-23B02).
文摘By large-scale cold mold experiments,pressure pulsation signals within the jet influence zone of riser reactor are processed by using Hilbert-Huang analysis(HHT)in this study.Effects of different jet forms and operating conditions on the intrinsic mode function(IMF)energy and Hilbert-Huang spectrum are compared.Results show that the IMF energy and Hilbert-Huang spectrum of pressure pulsation signals show significant differences under the influence of upward and downward jets.Moreover,the change of jet velocity will also lead to significant changes in IMF energy and Hilbert-Huang spectrum.Among them,energy values and energy proportions corresponding to high-frequency pressure pulsations show a good correlation with the jet velocity.On this basis,energy value and energy proportion data in the high frequency range of the original pressure signal are clustered and analyzed by using the K-means clustering algorithm.Based on clustering results,the jet influence zone of riser can be defined into three regions.From partitioning results,it is found that the introduction of downward inclined jets could effectively improve the gas-solid mixing in the feed injection zone of riser.
基金funded by the National Key R&D Program of China(Grant No.2023YFA1008901)the National Natural Science Foundation of China(Grant Nos.11988102,12172009)“The Fundamental Research Funds for the Central Universities,Peking University”.
文摘The multiscale computational method with asymptotic analysis and reduced-order homogenization(ROH)gives a practical numerical solution for engineering problems,especially composite materials.Under the ROH framework,a partition-based unitcell structure at the mesoscale is utilized to give a mechanical state at the macro-scale quadrature point with pre-evaluated influence functions.In the past,the“1-phase,1-partition”rule was usually adopted in numerical analysis,where one constituent phase at the mesoscale formed one partition.The numerical cost then is significantly reduced by introducing an assumption that the mechanical responses are the same all the time at the same constituent,while it also introduces numerical inaccuracy.This study proposes a new partitioning method for fibrous unitcells under a reduced-order homogenization methodology.In this method,the fiber phase remains 1 partition,but the matrix phase is divided into 2 partitions,which refers to the“12”partitioning scheme.Analytical elastic influence+functions are derived by introducing the elastic strain energy equivalence(Hill-Mandel condition).This research also obtains the analytical eigenstrain influence functions by alleviating the so-called“inclusion-locking”phenomenon.In addition,a numerical approach to minimize the error of strain energy density is introduced to determine the partitioning of the matrix phase.Several numerical examples are presented to compare the differences among direct numerical simulation(DNS),“11”,and“12”partitioning schemes.The numerical simulations show improved++numerical accuracy by the“12”partitioning scheme.
文摘Social media has emerged as a major global influence on consumer behavior in recent years.User-generated,interactive content is made possible by platforms like Facebook,Instagram,YouTube,and TikTok,and it has a big impact on opinions and buying decisions.Therefore,the objective of this research was to examine the influence of social media(online reviews,social media influencers,eWOM,advertisements,social media usage laws,and information)on consumers’purchase decisions of electronic products.Guided by the theory of planned behavior and social influence theory,a quantitative approach was used,with data collected via a structured questionnaire from 150 respondents over four weeks.Analysis was conducted using SPSS 30.SPSS analysis demonstrated that social media usage laws and social media influencers had a strong positive correlation with consumers’purchase decisions,highlighting their pivotal role in shaping preferences and disseminating information.Reliable and accessible product information also emerged as a significant predictor of consumer choices.In contrast,online reviews,eWOM,and advertisements exhibited minimal influence within this context or might have adverse influence.This article provides guidelines for electronic products to prioritize social media strategies,invest in high-quality information dissemination,and leverage influencer partnerships to effectively engage consumers and drive sales.
文摘With increasingly severe global climate change,a low-carbon economy has become an inevitable trend in the development of the international community.Low-carbon economy is not only related to environmental protection but also has a profound impact on international trade.The purpose of this paper is to explore the impact of a low-carbon economy on the development of international trade and put forward corresponding strategy suggestions.By analyzing the connotation,characteristics,and mechanism of the low-carbon economy on international trade,this paper reveals the important role of the low-carbon economy in promoting the optimization of international trade structure,promoting green technology innovation,and strengthening international cooperation.At the same time,given the challenges brought by a low-carbon economy,this paper puts forward strategies such as strengthening policy guidance,promoting green technology innovation,and improving international trade rules to provide a reference for the sustainable development of international trade[1,2].
基金General Scientific Research Projects of Jiangsu Provincial Meteorological Service(KM202401)Young Scientists Found of the National Natural Science Foundation of China(42205197)+2 种基金Beijige Fund of Nanjing Joint Institute for Atmospheric Sciences(BJG202501)Joint Research Project for Meteorological Capacity Improvement(22NLTSY009)Key Scientific Research Projects of Jiangsu Provincial Meteorological Bureau(KZ202203)。
文摘Landfalling tropical cyclones(TCs)pose tremendous hazards to East Asian coastal areas,particularly in East China,a densely populated and economically vital center.This underscores the critical need for a more in-depth investigation into the evolving characteristics and influences of these landfalling TCs.In this study,we explored changes in landfalling TC activity during 1965–2022 and estimated their influences in East China.Our findings demonstrate that the annual frequency of landfalling TCs has exhibited a slight increase since the mid-1990s,while their overall influences have significantly intensified.This intensification is closely associated with the prolonged duration of TCs over land after landfall.The results also reveal that longer overland sustainment is attributed to the descending vertical wind shear(VWS)and ascending low-layer moisture supply over the corresponding areas.In addition,the annual mean genesis location of these landfalling TCs has shown a significant westward migration,which may be advantageous to the increase in TC influences.
文摘Taking 138 key rural tourism villages in Beijing for example,this paper applied GIS analysis to analyze the spatial distribution characteristics of these villages,selected the influence factors of the villages considering the classification characteristics,so as to explore the impact of different influence factors on its spatial distribution.The results showed(i)Key rural tourism villages in Beijing manifested an aggregated distribution on the whole,they were unevenly distributed and mostly located in the fringe area of northern mountainous areas and plains,such as Huairou District and Miyun District.Such a“multi-center distribution”pattern was significantly influenced by terrains and natural resources.(ii)Depending on local natural and cultural resources,tourism resources,development characteristics and functional differences,key rural tourism villages in Beijing could be devided into natural scenery type,scenic area-dependent type and agriculture experiencing type.(iii)Key factors influencing the distribution of these villages included mean temperature,annual precipitation,quantity of scenic area,road network density,agricultural land and so on,and the interaction of dual factors exerted more significant impact on single factors.
文摘With the progress of information technology,the digital transformation of enterprises has developed into a key strategy to improve competitiveness.This paper studies the influence of digital transformation of enterprises on the quality of accounting information and its countermeasures,discusses how digital transformation reshapes the ability of accounting information processing,transparency,sharing,and decision support,and analyzes the challenges in technology,management,and data security during this period.Through in-depth analysis,this paper puts forward a series of targeted countermeasures,including strengthening technology and system construction,optimizing management and processes,strengthening data security and privacy protection,and promoting the improvement of laws and standards,hoping to provide practical guidance for improving the quality of accounting information in the digital transformation of enterprises.
文摘This paper focuses on Chengdu and Chongqing’s positioning as important economic center in western China and their evolving into an economic center of national influence.On the one hand,it uses the synthetic difference-in-differences(SDID)method to analyze the impact of policies since 2011 designed to build Chengdu and Chongqing into an important economic center in western China.On the other hand,it employs the entropy-weighted TOPSIS method to comprehensively evaluate the influences of ten core Chinese cities as economic centers within four major urban agglomerations,as well as conduct an analytical assessment of the Chengdu-Chongqing economic circle from key perspectives such as its capacity to lead,capacity to agglomerate,and capacity to radiate.From a longitudinal historical perspective,both Chengdu and Chongqing have benefited significantly from policies designed to build an important economic center in western China,and which laid a foundation for building an economic center of national influence.From a horizontal regional comparison,among the ten core cities evaluated as economic centers within the four major urban agglomerations,Chengdu and Chongqing ranked in the middle,possessing a moderate but not yet outstanding influence.Consequently,to evolve into an economic center of national influence,the Chengdu-Chongqing economic circle should leverage its relative advantages in connectivity,market size,value chain division of labor,policy attractiveness,and industry development.It can enhance its influence by strengthening the complementarity of its economic resources,overcoming the administrative inertia,accelerating the establishment of a regional innovation system,broadening the scope of its economic radiation,and promoting its comprehensive and all-dimensional opening-up.
基金financially supported by the National Natural Science Foundation of China(Nos.U2106206,52471079,42276212,and 42176043)the Natural Science Foundation of Shandong Province(ZR2024ME047)+1 种基金the National Materials Corrosion and Protection Data Center(No.2023DATAFU20-01)The authors wish to acknowledge Sen Wang,Haiyan Yu,Xiaomin Zhao from State Key Laboratory of Microbial Technology,Shandong University for the assistance in the SEM analysis。
文摘With the rapid development of the marine economy,marine microbiologically influenced corrosion(MIC)has garnered increasing attention.However,most studies have not analyzed the MIC process over continuous and extended periods,failing to provide a comprehensive understanding of MIC mechanisms at different stages.In this study,the corrosion behavior of EH36 steel caused by Halomonas titanicae in an aerobic enriched seawater over a 30-d incubation period was investigated driven by big data.The results revealed that the corrosion by H.titanicae against EH36 steel evolved dynamically over time.During the initial stages,the aerobic respiration of H.titanicae consumed significant amounts of oxygen,which suppressed the cathodic oxygen reduction process,thereby inhibiting corrosion compared to the abiotic conditions.As time progressed,the accumulation of corrosion products slowed the abiotic corrosion,while the biotic corrosion accelerated due to a shift from aerobic to anaerobic respiration by H.titanicae,utilizing Fe0 and nitrate as electron donors and acceptors,respectively.The big data results are consistent with the weight loss and electrochemical data,demonstrating the reliability of using big data monitoring techniques to characterize microbial corrosion processes.
基金This study is part of the RECOLLECT 2 programme,a five-year(2020-2025)project funded by the National Institute for Health and Care Research,which investigates the effectiveness and cost-effectiveness of recovery colleges.
文摘Background Recovery colleges (RCs) support personal recovery through education, skill development and social support for people with mental health problems, carers and staff. Guided by co-production and adult learning principles, RCs represent a recent mental health innovation. Since the first RC opened in England in 2009, RCs have expanded to 28 countries and territories. However, most RC research has been conducted in Western countries with similar cultural characteristics, limiting understanding of how RCs can be culturally adapted. The 12-item Recovery Colleges Characterisation and Testing (RECOLLECT) Fidelity Measure (RFM) evaluates the operational fidelity of RCs based on 12 components, but cultural influences on these components remain underexplored.Aims To assess associations between Hofstede’s cultural dimensions and RFM items to identify cultural influences on fidelity components.Methods A cross-sectional survey of RC managers was conducted across all 221 RCs. Mixed-effects regression models examined associations between Hofstede’s country-level cultural dimensions and item-level RFM scores, adjusted for healthcare expenditure and income inequality. Four cultural dimensions, obtained from Hofstede, were analysed: individualism (prioritising personal needs), indulgence (enjoyment-oriented), uncertainty avoidance (preference for predictability) and long-term orientation (future-focused).Results The RFM was completed by 169 (76%) RC managers. Seven RFM items showed associations with cultural dimensions. Equality was linked to short-term orientation, while learning was associated with individualism and uncertainty avoidance. Both individualism and indulgence influenced co-production and community focus. Commitment to recovery was shaped by all four cultural dimensions, with the strongest associations seen for individualism and indulgence. Individualism enhanced explicit focus on strengths-based practice, while uncertainty avoidance influenced course distinctiveness.Conclusions This study demonstrates how culture shapes RC fidelity components, providing actionable insights for cultural adaptation. Incorporating under-represented dimensions, such as collectivism and restraint, could improve the RFM’s global applicability, facilitating implementation. Future research should explore cultural nuances, engage diverse stakeholders and refine fidelity measures to enhance RC inclusivity and effectiveness worldwide.
文摘The information from sparsely logged wellbores is currently under-utilized in reservoir simulation models and their proxies using deep and machine learning (DL/ML).This is particularly problematic for large heterogeneous gas/oil reservoirs being considered for repurposing as gas storage reservoirs for CH_(4),CO_(2) or H_(2) and/or enhanced oil recovery technologies.Lack of well-log data leads to inadequate spatial definition of complex models due to the large uncertainties associated with the extrapolation of petrophysical rock types (PRT) calibrated with limited core data across heterogeneous and/or anisotropic reservoirs.Extracting well-log attributes from the few well logs available in many wells and tying PRT predictions based on them to seismic data has the potential to substantially improve the confidence in PRT 3D-mapping across such reservoirs.That process becomes more efficient when coupled with DL/ML models incorporating feature importance and optimized,dual-objective feature selection techniques.
文摘Hurricanes cause significant damage to tropical forests;however,little is known of their effects on decomposition and decomposer communities.This study demonstrated that canopy debris deposited during Hurricane Otto stimulated sequential changes in soil carbon(C)and nitrogen(N)components,and decomposer microbial communities over 5 years.The initial response phase occurred within 2 years post-hurricane and appeared associated with decomposition of the labile canopy debris,suggested by:increased DNA sequences(MPS)of the Acidobacterial community(as common decomposers of labile plant material),decreases in total organic C(TOC),increased biomass C,respiration,and NH_(4)^(+),conversion of organic C in biomass,and decreased MPS of complex organic C decomposing(CCD_(ec))Fungal community.After 3 years post-hurricane,the later response phase appeared associated with decomposition of the more stable components of the canopy debris,suggested by:increased MPS of the Fungal CCDec community,TOC,stabilized Respiration,decreased Biomass C,the return to pre-hurricane levels of the conversion of organic C to biomass,and decreased MPS of Acidobacterial community.These changes in the microbial community compositions resulted in progressive decomposition of the hurricane-deposited canopy material within 5 years,resulting several potential indicators of different stages of decomposition and soil recovery post-disturbance.
基金Under the auspices of National Natural Science Foundation of China (No. 40971102)Knowledge Innovation Programs of Chinese Academy of Sciences (No. KZCX2-YW-322)Special Grant for Postgraduates' Scientific Innovation and Social Practice in 2008
文摘With rapid development of urbanization and regional interaction and interdependence, regional urban agglomeration planning becomes more and more important in China, in order to promote integrated development of various cities with close interrelationship. However, it is still arguable academically on how to define the boundary or which cities to be included for the urban agglomeration of a region. This paper aims to shed lights on how to identify urban spheres of influence scientifically by introducing field modeling method and by practicing a case study on 168 cities in Central China. In our field modeling method, the influence intensities of cities were measured by a compre-ensive index and urban spheres of influence were represented spatially by field intensity. Then, their classification and spatial distribution characteristics of study area in 2007 were identified and explored by using GIS and statistical methods. The result showed that： 1） Wuhan is the absolute dominant city in Central China; 2） the provincial capital cities dominate their own provinces and there are no other lower grade agglomeration centers; and 3） the basic types of organization form of urban sphere of influence are single-polar type, agglomeration type, close-related group type and loose-related group type.
文摘BACKGROUND Identifying factors that influence non-curative resection(NCR)is critical to optimize treatment strategies and improve patient outcomes in patients with early gastric cancer(EGC).AIM To investigate the factors influencing the NCR of EGC and to evaluate the predictive value of these factors.METHODS The clinical data of 173 patients with EGC admitted between July 2020 and July 2023 were retrospectively collected.According to radical resection criteria,the patients were further divided into curative resection group(n=143)and NCR group(n=30).Clinical information was collected,including surgical method,tumor diameter,tumor site,ulcer formation,depth of invasion,pathological type,and lymph node metastasis.Logistic regression analysis was used to explore the factors affecting non-curable resection.RESULTS Multivariate logistic regression analysis showed that ulcer formation[odds ratio(OR)=3.53;95%confidence interval(CI):1.55-8.01,P=0.003],pathological type(OR=3.73;95%CI:1.60-8.74,P=0.002),tumor diameter(OR=3.15;95%CI:1.40-7.05,P=0.005),tumor location(OR=3.50;95%CI:1.16-10.58,P=0.027),lymph node metastasis(OR=4.40;95%CI:1.83-10.57,P=0.001),and depth of penetration(OR=3.75;95%CI:1.60-8.74,P=0.002)were all risk factors for NCR in EGC patients.Predictive analysis showed varying area under the curve values for factors such as tumor diameter(0.636),tumor location(0.608),ulcer formation(0.652),infiltration depth(0.658),pathological type(0.656),and lymph node metastasis(0.674).CONCLUSION The results suggest that factors such as tumor diameter,tumor location,ulcer formation,depth of invasion,pathological type,and lymph node metastasis increase the risk of NCR in EGC patients.
文摘Avoiding excessive enrollment of a single cohort in a clinical trial is prudent in order to avoid imbalances and to prevent one cohort from having a disproportionate influence on the results of a trial and perhaps even negating positive findings of the clinical trial. Numerical criteria are provided here to evaluate the expected influence of a large cohort as a function of both its size and the relative effect of interventions, in comparison to those of other groups. Measures of expected influence are obtained as a function of the parameters of the distribution of statistics measuring influence. Calculated numerical criteria for the binomial, continuous and time-to-event contexts are presented. Details of the application of this method and sensitivity analyses conducted during the planning stages of a multiple myeloma clinical trial are provided. Numerical criteria are derived under asymptotic conditions and thus results hold for large cohorts. The numerical criteria are easy to compute and are useful tools to assess possible detrimental effects of large cohorts during the design of a study or during enrollment prior to any un-blinding. The numerical criteria allow for a-priori sensitivity analyses of the likely influence of large cohorts under varying conditions.
文摘Through the analysis of Poe＇s works and his life, the influence of anima in Poe＇s soul is explored in this study according to Carl Jung＇s theory of archetype. Anima is one of the archetypes, which made both negative and positive influences in Poe＇s life and literary creation, leading him to be the master of poetry and short stories, but also consumed his life and caused his death in the prime. In the study about the influence of anima in Poe, Anima was proved acting as the feminine complement factors in Poe＇s unconscious, and made Poe more sensitive in literary creation. As Poe knew the man＇s world and also understood the woman＇s world, which is the accumulative influence of both negative and positive influences of Anima in Poe, his literary creativity was strong and he had the unique aesthetics.
