In recent years,fog computing has become an important environment for dealing with the Internet of Things.Fog computing was developed to handle large-scale big data by scheduling tasks via cloud computing.Task schedul...In recent years,fog computing has become an important environment for dealing with the Internet of Things.Fog computing was developed to handle large-scale big data by scheduling tasks via cloud computing.Task scheduling is crucial for efficiently handling IoT user requests,thereby improving system performance,cost,and energy consumption across nodes in cloud computing.With the large amount of data and user requests,achieving the optimal solution to the task scheduling problem is challenging,particularly in terms of cost and energy efficiency.In this paper,we develop novel strategies to save energy consumption across nodes in fog computing when users execute tasks through the least-cost paths.Task scheduling is developed using modified artificial ecosystem optimization(AEO),combined with negative swarm operators,Salp Swarm Algorithm(SSA),in order to competitively optimize their capabilities during the exploitation phase of the optimal search process.In addition,the proposed strategy,Enhancement Artificial Ecosystem Optimization Salp Swarm Algorithm(EAEOSSA),attempts to find the most suitable solution.The optimization that combines cost and energy for multi-objective task scheduling optimization problems.The backpack problem is also added to improve both cost and energy in the iFogSim implementation as well.A comparison was made between the proposed strategy and other strategies in terms of time,cost,energy,and productivity.Experimental results showed that the proposed strategy improved energy consumption,cost,and time over other algorithms.Simulation results demonstrate that the proposed algorithm increases the average cost,average energy consumption,and mean service time in most scenarios,with average reductions of up to 21.15%in cost and 25.8%in energy consumption.展开更多
Electrocardiogram (ECG) analysis is critical for detecting arrhythmias, but traditional methods struggle with large-scale Electrocardiogram data and rare arrhythmia events in imbalanced datasets. These methods fail to...Electrocardiogram (ECG) analysis is critical for detecting arrhythmias, but traditional methods struggle with large-scale Electrocardiogram data and rare arrhythmia events in imbalanced datasets. These methods fail to perform multi-perspective learning of temporal signals and Electrocardiogram images, nor can they fully extract the latent information within the data, falling short of the accuracy required by clinicians. Therefore, this paper proposes an innovative hybrid multimodal spatiotemporal neural network to address these challenges. The model employs a multimodal data augmentation framework integrating visual and signal-based features to enhance the classification performance of rare arrhythmias in imbalanced datasets. Additionally, the spatiotemporal fusion module incorporates a spatiotemporal graph convolutional network to jointly model temporal and spatial features, uncovering complex dependencies within the Electrocardiogram data and improving the model’s ability to represent complex patterns. In experiments conducted on the MIT-BIH arrhythmia dataset, the model achieved 99.95% accuracy, 99.80% recall, and a 99.78% F1 score. The model was further validated for generalization using the clinical INCART arrhythmia dataset, and the results demonstrated its effectiveness in terms of both generalization and robustness.展开更多
In view of the relative positioning problem between non-regular quadrilateral grids and regular rectangle grid nodes in the wave front construction method, concrete realization problems with four grid positioning meth...In view of the relative positioning problem between non-regular quadrilateral grids and regular rectangle grid nodes in the wave front construction method, concrete realization problems with four grid positioning methods （vector cross product judgment, angle sum, intersection-point, and signs comparison algorithms） in wave front construction which are commonly used in computer graphics are compared and analyzed in this paper. Based on the stability analysis of the location method, the calculation examples show that the vector cross product judgment method is faster and more accurate than other methods in the realization of the relative positioning between non-regular quadrilateral grids and regular rectangle grid nodes in wave front construction. It provides precise grid point attribute values for the next steps of migration and demigration.展开更多
Flow units(FU)rock typing is a common technique for characterizing reservoir flow behavior,producing reliable porosity and permeability estimation even in complex geological settings.However,the lateral extrapolation ...Flow units(FU)rock typing is a common technique for characterizing reservoir flow behavior,producing reliable porosity and permeability estimation even in complex geological settings.However,the lateral extrapolation of FU away from the well into the whole reservoir grid is commonly a difficult task and using the seismic data as constraints is rarely a subject of study.This paper proposes a workflow to generate numerous possible 3D volumes of flow units,porosity and permeability below the seismic resolution limit,respecting the available seismic data at larger scales.The methodology is used in the Mero Field,a Brazilian presalt carbonate reservoir located in the Santos Basin,who presents a complex and heterogenic geological setting with different sedimentological processes and diagenetic history.We generated metric flow units using the conventional core analysis and transposed to the well log data.Then,given a Markov chain Monte Carlo algorithm,the seismic data and the well log statistics,we simulated acoustic impedance,decametric flow units(DFU),metric flow units(MFU),porosity and permeability volumes in the metric scale.The aim is to estimate a minimum amount of MFU able to calculate realistic scenarios porosity and permeability scenarios,without losing the seismic lateral control.In other words,every porosity and permeability volume simulated produces a synthetic seismic that match the real seismic of the area,even in the metric scale.The achieved 3D results represent a high-resolution fluid flow reservoir modelling considering the lateral control of the seismic during the process and can be directly incorporated in the dynamic characterization workflow.展开更多
In this paper by Sobolev imbedding theorem and characterization theorem of generalized operators the existence of P(φ)2 quantum fields as generalized operators is obtained and a rigorous mathematical interpretation o...In this paper by Sobolev imbedding theorem and characterization theorem of generalized operators the existence of P(φ)2 quantum fields as generalized operators is obtained and a rigorous mathematical interpretation of renormalization procedure is given under white noise theory.展开更多
The aim of this study is to examine the small-world properties of functional brain networks inChinese to English simultaneous interpreting(SI)using functional near-infrared spectroscopy(INIRS),In particular,the fNIRS ...The aim of this study is to examine the small-world properties of functional brain networks inChinese to English simultaneous interpreting(SI)using functional near-infrared spectroscopy(INIRS),In particular,the fNIRS neuroimaging combined with complex network analysis wasperformed to extract the features of functional brain networks underling three translationstrategies associated with Chinese to English SI:"transcoding"that takes the"shortcut"linkingtranslation equivalents between Chinese and the English,code-mixing"that basically does notinvolve blingual procesing,and"transphrasingn that takes the long route"involving amonolingual processing of meaning in Chinese and then another monolingual processing ofmeaning in English.Our results demonstrated that the small-world net work topology was able todistinguish well bet ween the transcoding,code-mixing and transphrasing strategies related toChinese to English SI.展开更多
We apply stochastic seismic inversion and Bayesian facies classification for porosity modeling and igneous rock identification in the presalt interval of the Santos Basin. This integration of seismic and well-derived ...We apply stochastic seismic inversion and Bayesian facies classification for porosity modeling and igneous rock identification in the presalt interval of the Santos Basin. This integration of seismic and well-derived information enhances reservoir characterization. Stochastic inversion and Bayesian classification are powerful tools because they permit addressing the uncertainties in the model. We used the ES-MDA algorithm to achieve the realizations equivalent to the percentiles P10, P50, and P90 of acoustic impedance, a novel method for acoustic inversion in presalt. The facies were divided into five: reservoir 1,reservoir 2, tight carbonates, clayey rocks, and igneous rocks. To deal with the overlaps in acoustic impedance values of facies, we included geological information using a priori probability, indicating that structural highs are reservoir-dominated. To illustrate our approach, we conducted porosity modeling using facies-related rock-physics models for rock-physics inversion in an area with a well drilled in a coquina bank and evaluated the thickness and extension of an igneous intrusion near the carbonate-salt interface. The modeled porosity and the classified seismic facies are in good agreement with the ones observed in the wells. Notably, the coquinas bank presents an improvement in the porosity towards the top. The a priori probability model was crucial for limiting the clayey rocks to the structural lows. In Well B, the hit rate of the igneous rock in the three scenarios is higher than 60%, showing an excellent thickness-prediction capability.展开更多
The essay will analyze the symbols created by Steinbeck and disclose the meaning of the most widely used symbols John Steinbeck resorted toin some of his short stories. These interpretations of the symbols may reveal ...The essay will analyze the symbols created by Steinbeck and disclose the meaning of the most widely used symbols John Steinbeck resorted toin some of his short stories. These interpretations of the symbols may reveal to readers an utterly different system of values. The author will explore those stories that are relevant from this point of view. This paper will highlight,emphasize and interpret different symbols presented in his stories too. And the author will give a possible way of tackling of Steinbeck short stories.展开更多
Purpose: This 2-year follow-up study aimed to examine the associations between total volume, frequency, duration, and speed of walking with subsequent sleep difficulty in older adults.Methods: A total of 800 older adu...Purpose: This 2-year follow-up study aimed to examine the associations between total volume, frequency, duration, and speed of walking with subsequent sleep difficulty in older adults.Methods: A total of 800 older adults aged 65 years and over participated in the first survey in 2012 and 511 of them were followed 2 years later.The 5-item Athens Insomnia Scale(AIS-5) was used to measure sleep difficulty. Frequency, duration, and speed of outdoor walking were self-reported. Walking speed was assigned a metabolic equivalent value(MET) from 2.5 to 4.5. Total walking volume in MET-h/week was calculated as frequency × duration × speed. Negative binomial regressions were performed to examine the associations between volume and components of walking with subsequent sleep difficulty with covariates of age, sex, education, marital status, living arrangement, smoking, alcohol consumption, mental health, Charlson Index, exercise(excluding walking), and sleep difficulty at baseline.Results: Participants with low walking volume had a higher level of sleep difficulty 2 years later compared with those with high walking volume(incident rate ratios = 1.61, p = 0.004). When speed, frequency, and duration of walking were simultaneously entered into 1 model, only walking speed was significantly associated with subsequent sleep difficulty(after the model was adjusted for covariates and baseline sleep difficulty).Sensitivity analyses showed that walking duration emerged as a significant predictor among 3 walking parameters, with 2-year changes of sleep scores as dependent variable.Conclusion: Total amount of walking(especially faster walking and lasting for more than 20 min) is associated with less subsequent sleep difficulty after 2 years among older adults.展开更多
Background: Diabetes self-management education (DSME) for patients with type 2 diabetes requires efficient teaching methods that make patients want to change lifestyle in terms of their diabetes. The study looks at wh...Background: Diabetes self-management education (DSME) for patients with type 2 diabetes requires efficient teaching methods that make patients want to change lifestyle in terms of their diabetes. The study looks at what may be the active ingredient in this DSME. Objective: To explore how participants in DSME, with an interactive learning method, experienced changes in relation to diet and physical activity. Method: We studied possible changes in diet and physical activity by semi-structured individual interviews of 16 participants attending DSME. Results: Before the DSME, the participants felt insecure about what to eat, and they expressed little interest in changing their physical activity. Just after the DSME, they were more optimistic about diet because they had learned how to interpret food labels and compose their meals. Furthermore, they had experienced the benefit of physical activity in relation to their blood glucose levels. Behavior changes appeared to persist the following half year. We discuss the findings in light of the principles of interactive learning. The participants experienced an effect of their behavior changes, and blood glucose measurement was used as a tool to gain control and reach a state of well-being. Conclusion: From being insecure about what to eat, the patients acquired knowledge to handle their diet through the DSME. They learned how to compose their meals and use physical activity to regulate their blood glucose. We suggest that the interactive learning used in the DSME was an active ingredient that led to changes in behavior and should be considered as an educational method in DSME for patient with type 2 diabetes.展开更多
Inversion of seawater physical parameters (temperature, salinity and density) from seismic data is an important part of Seismic Oceanography, which was raised recent years to study physical oceanography. However prese...Inversion of seawater physical parameters (temperature, salinity and density) from seismic data is an important part of Seismic Oceanography, which was raised recent years to study physical oceanography. However present methods have problems that inversion accuracy is not high or inverted parameters are incomprehensive. To overcome these problems, this paper derives Allied Elastic Impedance (AEI), from which we can extract acoustic velocity and density of seawater directly. Furthermore this paper proposes a method to fit temperature and salinity with acoustic velocity and density respectively, breaking through the limitation that temperature and salinity can only be extracted from acoustic velocity. After applying it to model and real data, we find that this method not only solves the problem that ocean density is hard to extract, but also increases accuracy of other parameters, with the temperature and salinity resolution of 0.06°C and 0.02 psu respectively. All results show that AEI is promising in inversion of seawater physical parameters.展开更多
The English translation of modern and contemporary Chinese poetry can help“Chinese culture go abroad”,which has far-reaching influence on the culture communication.Therefore,the accurate understanding of the metapho...The English translation of modern and contemporary Chinese poetry can help“Chinese culture go abroad”,which has far-reaching influence on the culture communication.Therefore,the accurate understanding of the metaphors in poetry is extremely necessary.This paper takes Dai Wangshu’s poem“Rainy Alley”and its English translations as the research subjects,and explores the different understandings of metaphors in Chinese and Western cultures from the perspective of cognitive linguistic.This paper finds out that the translation of metaphors in poetry should always base on the“emotion”so as to accurately translate the poetry.展开更多
The paper first presents the translation of Hebrew Genesis entitled At the Start... Genesis Made New. The new version belongs to the field of ethno-poetics. It intends to take today＇s listener/reader back in time by ...The paper first presents the translation of Hebrew Genesis entitled At the Start... Genesis Made New. The new version belongs to the field of ethno-poetics. It intends to take today＇s listener/reader back in time by capturing the characteristics of the original Hebrew and expressing them through the medium of modern English. If translations may be said to reflect archaeological layers of social history, At the Start... Genesis Made New attempts to dig down with the purpose of reaching the deepest layer： critical analysis of terminology in the Garden of Eden story provides insights into the primitive Hebrew society that invented this particular myth more than 3,000 years ago. The paper also looks at the same story as translated in the Revised Standard Version, first published as the Authorised Version or King James Bible in 1661, and The New English Bible published in 1961. Different world views characteristic of European society in recent centuries colours the understanding of the biblical text. The translations are affected in consequence. A comparison between the versions is revealing…展开更多
Carbon labels are innovative medium and tools for climate change communication and lowcarbon marketing.This study aims at examining how college students are aware of low-carbon and carbon labels,whether they are more ...Carbon labels are innovative medium and tools for climate change communication and lowcarbon marketing.This study aims at examining how college students are aware of low-carbon and carbon labels,whether they are more willing to communicate low-carbon ideas,and also the determinants affecting their interpersonal communication of carbon labels.The multiple regression analysis shows that Chinese college students' willingness of interpersonal communication of carbon labels are significantly influenced by their awareness of climate change crisis,the perceived value of carbon labels,the consideration of product environmental attributes,the preferences of carbon labels,the household background,and their educational background.In response to these factors,this paper proposes,in a public perspective,the strategies to enhance the dissemination of carbon labels.展开更多
Inspired by Eugene Nida's dynamic equivalence theory,this thesis takes the translation of Samul Ullman's work Youth as a case study.It explores the three translated versions of Mrs.Zhang Aiqing,Mr.Huang Ren an...Inspired by Eugene Nida's dynamic equivalence theory,this thesis takes the translation of Samul Ullman's work Youth as a case study.It explores the three translated versions of Mrs.Zhang Aiqing,Mr.Huang Ren and Mr.Xu Hanlin respectively.These versions are analyzed at the levels of lexicology,syntax,rhetoric,semasiology and style.Then it points out that the same effect on the target language readers are as the original text has done on the source language readers,in other words,it proves the efficiency of dynamic equivalence in the translation of Youth.展开更多
This work aims to improve the understanding of how fracture zones affect carbonate reservoir properties based on observations of a pre-salt well located in the Santos Basin,Brazil.The identification of fracture zones ...This work aims to improve the understanding of how fracture zones affect carbonate reservoir properties based on observations of a pre-salt well located in the Santos Basin,Brazil.The identification of fracture zones allowed for the observation of a relationship between the occurrence of rock fractures and the silicification,as the latter plays an important role in determining porosity(higher silica content may increase brittleness of the rocks therefore increasing the likelihood of creating fractures zones and fractures may be filled up reducing the total porosity).To support the proposed observation,an integrated study was conducted using borehole imaging,spectroscopy logs,and sidewall core samples.The porosities were defined using nuclear magnetic resonance log analysis,alongside sidewall core samples,and thin sections.The integration of rock samples and well data with seismic analysis was performed to analyze the presence of a regional fault system that could explain high fracture densities as well as observed silica content characteristics.The results show how different types of cement filling up the formation pores affect fracture densities and total porosity.Furthermore,it was possible to infer that the amount of silica content observed in well logs and thin sections relates to hydrothermal fluids reaching out the reservoir through regional fault systems detected in the seismic section.Therefore,this paper supports the comprehension of how diagenetic processes can significantly affect the properties of presalt reservoirs.展开更多
基金supported and funded by theDeanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University(IMSIU)(grant number IMSIU-DDRSP2503).
文摘In recent years,fog computing has become an important environment for dealing with the Internet of Things.Fog computing was developed to handle large-scale big data by scheduling tasks via cloud computing.Task scheduling is crucial for efficiently handling IoT user requests,thereby improving system performance,cost,and energy consumption across nodes in cloud computing.With the large amount of data and user requests,achieving the optimal solution to the task scheduling problem is challenging,particularly in terms of cost and energy efficiency.In this paper,we develop novel strategies to save energy consumption across nodes in fog computing when users execute tasks through the least-cost paths.Task scheduling is developed using modified artificial ecosystem optimization(AEO),combined with negative swarm operators,Salp Swarm Algorithm(SSA),in order to competitively optimize their capabilities during the exploitation phase of the optimal search process.In addition,the proposed strategy,Enhancement Artificial Ecosystem Optimization Salp Swarm Algorithm(EAEOSSA),attempts to find the most suitable solution.The optimization that combines cost and energy for multi-objective task scheduling optimization problems.The backpack problem is also added to improve both cost and energy in the iFogSim implementation as well.A comparison was made between the proposed strategy and other strategies in terms of time,cost,energy,and productivity.Experimental results showed that the proposed strategy improved energy consumption,cost,and time over other algorithms.Simulation results demonstrate that the proposed algorithm increases the average cost,average energy consumption,and mean service time in most scenarios,with average reductions of up to 21.15%in cost and 25.8%in energy consumption.
基金supported by The Henan Province Science and Technology Research Project(242102211046)the Key Scientific Research Project of Higher Education Institutions in Henan Province(25A520039)+1 种基金theNatural Science Foundation project of Zhongyuan Institute of Technology(K2025YB011)the Zhongyuan University of Technology Graduate Education and Teaching Reform Research Project(JG202424).
文摘Electrocardiogram (ECG) analysis is critical for detecting arrhythmias, but traditional methods struggle with large-scale Electrocardiogram data and rare arrhythmia events in imbalanced datasets. These methods fail to perform multi-perspective learning of temporal signals and Electrocardiogram images, nor can they fully extract the latent information within the data, falling short of the accuracy required by clinicians. Therefore, this paper proposes an innovative hybrid multimodal spatiotemporal neural network to address these challenges. The model employs a multimodal data augmentation framework integrating visual and signal-based features to enhance the classification performance of rare arrhythmias in imbalanced datasets. Additionally, the spatiotemporal fusion module incorporates a spatiotemporal graph convolutional network to jointly model temporal and spatial features, uncovering complex dependencies within the Electrocardiogram data and improving the model’s ability to represent complex patterns. In experiments conducted on the MIT-BIH arrhythmia dataset, the model achieved 99.95% accuracy, 99.80% recall, and a 99.78% F1 score. The model was further validated for generalization using the clinical INCART arrhythmia dataset, and the results demonstrated its effectiveness in terms of both generalization and robustness.
基金This research work is supported by the Projects of National Science Foundation of China （Grant No, 40574052 and 40437018） and National Basic Research Program of China （973 Program） （Grant No. 2007CB209603）.Acknowledgements We wish to thank Researcher Xu Tao for his advice and comment. We also thank Mrs. Wang Kun for her help in the process of translation.
文摘In view of the relative positioning problem between non-regular quadrilateral grids and regular rectangle grid nodes in the wave front construction method, concrete realization problems with four grid positioning methods （vector cross product judgment, angle sum, intersection-point, and signs comparison algorithms） in wave front construction which are commonly used in computer graphics are compared and analyzed in this paper. Based on the stability analysis of the location method, the calculation examples show that the vector cross product judgment method is faster and more accurate than other methods in the realization of the relative positioning between non-regular quadrilateral grids and regular rectangle grid nodes in wave front construction. It provides precise grid point attribute values for the next steps of migration and demigration.
文摘Flow units(FU)rock typing is a common technique for characterizing reservoir flow behavior,producing reliable porosity and permeability estimation even in complex geological settings.However,the lateral extrapolation of FU away from the well into the whole reservoir grid is commonly a difficult task and using the seismic data as constraints is rarely a subject of study.This paper proposes a workflow to generate numerous possible 3D volumes of flow units,porosity and permeability below the seismic resolution limit,respecting the available seismic data at larger scales.The methodology is used in the Mero Field,a Brazilian presalt carbonate reservoir located in the Santos Basin,who presents a complex and heterogenic geological setting with different sedimentological processes and diagenetic history.We generated metric flow units using the conventional core analysis and transposed to the well log data.Then,given a Markov chain Monte Carlo algorithm,the seismic data and the well log statistics,we simulated acoustic impedance,decametric flow units(DFU),metric flow units(MFU),porosity and permeability volumes in the metric scale.The aim is to estimate a minimum amount of MFU able to calculate realistic scenarios porosity and permeability scenarios,without losing the seismic lateral control.In other words,every porosity and permeability volume simulated produces a synthetic seismic that match the real seismic of the area,even in the metric scale.The achieved 3D results represent a high-resolution fluid flow reservoir modelling considering the lateral control of the seismic during the process and can be directly incorporated in the dynamic characterization workflow.
基金Project supported by NSFC (10171035) and Hubei University Youth Foundation (97A012)
文摘In this paper by Sobolev imbedding theorem and characterization theorem of generalized operators the existence of P(φ)2 quantum fields as generalized operators is obtained and a rigorous mathematical interpretation of renormalization procedure is given under white noise theory.
基金supported by MYRG2016-00110-FHS,MYRG2015-00036-FHS and MYRG2015-00150-FAH grants from the University of MacaoFDCT 026/2014/A1 and FDCT 025/2015/A1 grants from the Macao government.
文摘The aim of this study is to examine the small-world properties of functional brain networks inChinese to English simultaneous interpreting(SI)using functional near-infrared spectroscopy(INIRS),In particular,the fNIRS neuroimaging combined with complex network analysis wasperformed to extract the features of functional brain networks underling three translationstrategies associated with Chinese to English SI:"transcoding"that takes the"shortcut"linkingtranslation equivalents between Chinese and the English,code-mixing"that basically does notinvolve blingual procesing,and"transphrasingn that takes the long route"involving amonolingual processing of meaning in Chinese and then another monolingual processing ofmeaning in English.Our results demonstrated that the small-world net work topology was able todistinguish well bet ween the transcoding,code-mixing and transphrasing strategies related toChinese to English SI.
基金Equinor for financing the R&D projectthe Institute of Science and Technology of Petroleum Geophysics of Brazil for supporting this research。
文摘We apply stochastic seismic inversion and Bayesian facies classification for porosity modeling and igneous rock identification in the presalt interval of the Santos Basin. This integration of seismic and well-derived information enhances reservoir characterization. Stochastic inversion and Bayesian classification are powerful tools because they permit addressing the uncertainties in the model. We used the ES-MDA algorithm to achieve the realizations equivalent to the percentiles P10, P50, and P90 of acoustic impedance, a novel method for acoustic inversion in presalt. The facies were divided into five: reservoir 1,reservoir 2, tight carbonates, clayey rocks, and igneous rocks. To deal with the overlaps in acoustic impedance values of facies, we included geological information using a priori probability, indicating that structural highs are reservoir-dominated. To illustrate our approach, we conducted porosity modeling using facies-related rock-physics models for rock-physics inversion in an area with a well drilled in a coquina bank and evaluated the thickness and extension of an igneous intrusion near the carbonate-salt interface. The modeled porosity and the classified seismic facies are in good agreement with the ones observed in the wells. Notably, the coquinas bank presents an improvement in the porosity towards the top. The a priori probability model was crucial for limiting the clayey rocks to the structural lows. In Well B, the hit rate of the igneous rock in the three scenarios is higher than 60%, showing an excellent thickness-prediction capability.
文摘The essay will analyze the symbols created by Steinbeck and disclose the meaning of the most widely used symbols John Steinbeck resorted toin some of his short stories. These interpretations of the symbols may reveal to readers an utterly different system of values. The author will explore those stories that are relevant from this point of view. This paper will highlight,emphasize and interpret different symbols presented in his stories too. And the author will give a possible way of tackling of Steinbeck short stories.
文摘Purpose: This 2-year follow-up study aimed to examine the associations between total volume, frequency, duration, and speed of walking with subsequent sleep difficulty in older adults.Methods: A total of 800 older adults aged 65 years and over participated in the first survey in 2012 and 511 of them were followed 2 years later.The 5-item Athens Insomnia Scale(AIS-5) was used to measure sleep difficulty. Frequency, duration, and speed of outdoor walking were self-reported. Walking speed was assigned a metabolic equivalent value(MET) from 2.5 to 4.5. Total walking volume in MET-h/week was calculated as frequency × duration × speed. Negative binomial regressions were performed to examine the associations between volume and components of walking with subsequent sleep difficulty with covariates of age, sex, education, marital status, living arrangement, smoking, alcohol consumption, mental health, Charlson Index, exercise(excluding walking), and sleep difficulty at baseline.Results: Participants with low walking volume had a higher level of sleep difficulty 2 years later compared with those with high walking volume(incident rate ratios = 1.61, p = 0.004). When speed, frequency, and duration of walking were simultaneously entered into 1 model, only walking speed was significantly associated with subsequent sleep difficulty(after the model was adjusted for covariates and baseline sleep difficulty).Sensitivity analyses showed that walking duration emerged as a significant predictor among 3 walking parameters, with 2-year changes of sleep scores as dependent variable.Conclusion: Total amount of walking(especially faster walking and lasting for more than 20 min) is associated with less subsequent sleep difficulty after 2 years among older adults.
文摘Background: Diabetes self-management education (DSME) for patients with type 2 diabetes requires efficient teaching methods that make patients want to change lifestyle in terms of their diabetes. The study looks at what may be the active ingredient in this DSME. Objective: To explore how participants in DSME, with an interactive learning method, experienced changes in relation to diet and physical activity. Method: We studied possible changes in diet and physical activity by semi-structured individual interviews of 16 participants attending DSME. Results: Before the DSME, the participants felt insecure about what to eat, and they expressed little interest in changing their physical activity. Just after the DSME, they were more optimistic about diet because they had learned how to interpret food labels and compose their meals. Furthermore, they had experienced the benefit of physical activity in relation to their blood glucose levels. Behavior changes appeared to persist the following half year. We discuss the findings in light of the principles of interactive learning. The participants experienced an effect of their behavior changes, and blood glucose measurement was used as a tool to gain control and reach a state of well-being. Conclusion: From being insecure about what to eat, the patients acquired knowledge to handle their diet through the DSME. They learned how to compose their meals and use physical activity to regulate their blood glucose. We suggest that the interactive learning used in the DSME was an active ingredient that led to changes in behavior and should be considered as an educational method in DSME for patient with type 2 diabetes.
文摘Inversion of seawater physical parameters (temperature, salinity and density) from seismic data is an important part of Seismic Oceanography, which was raised recent years to study physical oceanography. However present methods have problems that inversion accuracy is not high or inverted parameters are incomprehensive. To overcome these problems, this paper derives Allied Elastic Impedance (AEI), from which we can extract acoustic velocity and density of seawater directly. Furthermore this paper proposes a method to fit temperature and salinity with acoustic velocity and density respectively, breaking through the limitation that temperature and salinity can only be extracted from acoustic velocity. After applying it to model and real data, we find that this method not only solves the problem that ocean density is hard to extract, but also increases accuracy of other parameters, with the temperature and salinity resolution of 0.06°C and 0.02 psu respectively. All results show that AEI is promising in inversion of seawater physical parameters.
基金supported by the Fund of Key Research Projects of Humanities and Social Sciences in Colleges and Universities of Guangdong Province[2018WZDXM010]the Fund of Graduate Research Innovation program of Guangdong University of Foreign Studies[22GWCXXM-108].
文摘The English translation of modern and contemporary Chinese poetry can help“Chinese culture go abroad”,which has far-reaching influence on the culture communication.Therefore,the accurate understanding of the metaphors in poetry is extremely necessary.This paper takes Dai Wangshu’s poem“Rainy Alley”and its English translations as the research subjects,and explores the different understandings of metaphors in Chinese and Western cultures from the perspective of cognitive linguistic.This paper finds out that the translation of metaphors in poetry should always base on the“emotion”so as to accurately translate the poetry.
文摘The paper first presents the translation of Hebrew Genesis entitled At the Start... Genesis Made New. The new version belongs to the field of ethno-poetics. It intends to take today＇s listener/reader back in time by capturing the characteristics of the original Hebrew and expressing them through the medium of modern English. If translations may be said to reflect archaeological layers of social history, At the Start... Genesis Made New attempts to dig down with the purpose of reaching the deepest layer： critical analysis of terminology in the Garden of Eden story provides insights into the primitive Hebrew society that invented this particular myth more than 3,000 years ago. The paper also looks at the same story as translated in the Revised Standard Version, first published as the Authorised Version or King James Bible in 1661, and The New English Bible published in 1961. Different world views characteristic of European society in recent centuries colours the understanding of the biblical text. The translations are affected in consequence. A comparison between the versions is revealing…
基金supported by the Humanities and Social Science Foundation of Ministry of Education of the People's Republic of China[Grant Number 15YJC630141]Innovative School Project in Higher Education of Guangdong,China[Grant Number GWTP-GC-2014-07]
文摘Carbon labels are innovative medium and tools for climate change communication and lowcarbon marketing.This study aims at examining how college students are aware of low-carbon and carbon labels,whether they are more willing to communicate low-carbon ideas,and also the determinants affecting their interpersonal communication of carbon labels.The multiple regression analysis shows that Chinese college students' willingness of interpersonal communication of carbon labels are significantly influenced by their awareness of climate change crisis,the perceived value of carbon labels,the consideration of product environmental attributes,the preferences of carbon labels,the household background,and their educational background.In response to these factors,this paper proposes,in a public perspective,the strategies to enhance the dissemination of carbon labels.
文摘Inspired by Eugene Nida's dynamic equivalence theory,this thesis takes the translation of Samul Ullman's work Youth as a case study.It explores the three translated versions of Mrs.Zhang Aiqing,Mr.Huang Ren and Mr.Xu Hanlin respectively.These versions are analyzed at the levels of lexicology,syntax,rhetoric,semasiology and style.Then it points out that the same effect on the target language readers are as the original text has done on the source language readers,in other words,it proves the efficiency of dynamic equivalence in the translation of Youth.
文摘This work aims to improve the understanding of how fracture zones affect carbonate reservoir properties based on observations of a pre-salt well located in the Santos Basin,Brazil.The identification of fracture zones allowed for the observation of a relationship between the occurrence of rock fractures and the silicification,as the latter plays an important role in determining porosity(higher silica content may increase brittleness of the rocks therefore increasing the likelihood of creating fractures zones and fractures may be filled up reducing the total porosity).To support the proposed observation,an integrated study was conducted using borehole imaging,spectroscopy logs,and sidewall core samples.The porosities were defined using nuclear magnetic resonance log analysis,alongside sidewall core samples,and thin sections.The integration of rock samples and well data with seismic analysis was performed to analyze the presence of a regional fault system that could explain high fracture densities as well as observed silica content characteristics.The results show how different types of cement filling up the formation pores affect fracture densities and total porosity.Furthermore,it was possible to infer that the amount of silica content observed in well logs and thin sections relates to hydrothermal fluids reaching out the reservoir through regional fault systems detected in the seismic section.Therefore,this paper supports the comprehension of how diagenetic processes can significantly affect the properties of presalt reservoirs.
