Cavitation Evolution Around a Twist Hydrofoil by Large Eddy Simulation(LES)with Mesh Adaption

The cavitating flow around a Delft Twist-11 hydrofoil is simulated using the large eddy simulation approach.The volume-of-fluid method incorporated with the Schnerr-Sauer cavitation model is utilized to track the water-vapor interface.Adaptive mesh refinement(AMR)is also applied to improve the simulation accuracy automatically.Two refinement levels are conducted to verify the dominance of AMR in predicting cavitating flows.Results show that cavitation features,including the U-type structure of shedding clouds,are consistent with experimental observations.Even a coarse mesh can precisely capture the phase field without increasing the total cell number significantly using mesh adaption.The predicted shedding frequency agrees fairly well with the experimental data under refinement level 2.This study illustrates that AMR is a promising approach to achieve accurate simulations for multiscale cavitating flows within limited computational costs.Finally,the force element method is currently adopted to investigate the lift and drag fluctuations during the evolution of cavitation structure.The mechanisms of lift and drag fluctuations due to cavitation and the interaction between vorticity forces and cavitation are explicitly revealed.

On News Language from the Perspective of Pragmatics——By Applying Adaption Theory

News is an important medium to transmit social information and reflect social reality. Its effects are irreplaceable and the news language which is a carrier to spread information is in fact influenced by many factors such as society, economy and culture. In order to exert its function to gain different social ends, the presentation of news language owns distinguishing features. This article starts from Verschueren's Adaption Theory to have the final conclusion that the adaption to the social, mental and physical world is the key element for the determination of the originality in news language.

Marine green alga Cladophora aokii Yamada and its epiphytes from Yinggehai, Hainan, China： morphological taxonomy, formation and analysis of its environmental adaption

Based on specimens collected in Yinggehai, Hainan, China from 2013 to 2016, a stable epiphytic taxon is found on the surface of the individual of marine green alga Cladophora aokii Yamada. According to the morphological characteristics, the taxonomy of Cl. aokii and its epiphytes is carried out. There are some epiphytes attached on Cl. aokii Yamada including Cl. fascicularis （Mertens ex C. Agardh） Kfitzing, Chaetomorpha pachynerna （Montagne） Kiitzing, Cerarniurn carnouii Dawson, Licmophora abbreviata Agardh, Lyngbya sp. and Chattonella sp.. The formation of the individual of Cl. aokii is dissected and explained, which can help to analyze the adaption in details among this species, its epiphytes and native marine environment. The results reveal the marine macroepiphytic taxonomy in Ha/nan, China, and preliminarily explain the adaptive relationship between macroalgae and environment.

Research on Rapid Initial Adaption to the Environment of a Plateau

We designed two types of pre-adaption plans for this study. One was a pre-adaption training with progressive intermittent hypoxia, with a constant lower pressure oxygen tank used in the plain before arriving at the plateau （PG）. The other was by progressively increasing the time of exposure to hypoxia with oxygen supplied in stages after radical plateau （RG）. By testing the blood oxygen saturation （SpO2）, heart rate （HR）, and quality of sleep after arriving at the 3800 m high plateau, results showed that the pre-acclimatization and radical groups performed better than the control group （CG）. Both strategies were equivalent in terms of effects and principles in providing more flexible choices for acclimatization.

From adaption to death: endoplasmic reticulum stress as a novel target of selective neurodegeneration?

Neurodegenerative disease is a condition in which subpopulations of neuronal cells of the brain and spinal cord are selectively lost. A common event in many neurodegenerative diseases, such as Parkinson＇s disease （PD）, Alzheimer＇s disease （AD）, amyotrophic lateral sclerosis （ALS）, multiple sclerosis and prion diseases, is the increased level of endoplasmic reticulum （ER） stress caused by accumulation and deposits of inclusion bodies that contain abnormal aggregated proteins. However, the exact contributions to and causal effects of ER stress in neuron degeneration are not clear （Lindholm et al., 2006）.

A MODEL OF NEURAL CIRCUIT WITH ADAPTION AND NONLINEAR CONNECTION

Based on physiological properties of synapse, soma and axon, this paper presents and analyses a model of neural circuit which can approximately simulate input-output relation, strength-duration curve, adaption and nonlinear connection of real neuron. The obtained results show that the model approximates to realistic principles of neural computation better than the available neural networks. The impulse-coded WTA(winner takes all) networks constructed with the above model find the winner more effectively than the analog WTA. Finally, the two important concepts: time competition and strength competition are introduced, which illustrate that the model has abilities to perform series and parallel information processing.

Markov Based Rate Adaption Approach for Live Streaming over HTTP/2

Dynamic adaptive streaming over HTTP （DASH） has been widely deployed. However, large latency in HTTP/1.1 cannot meet the requirements of live streaming. Data- pushing in HTFP/2 is emerging as a promising technology. For video live over HTTP/2, new challenges arise due to both low-delay and small buffer constraints. In this paper, we study the rate adaption problem over HTFP/2 with the aim to improve the quality of experience （QoE） of live streaming. To track the dynamic characteristics of the streaming system, a Markov-theoretical approach is employed. System variables are taken into account to describe the system state, by which the system transi- tion probability is derived. Moreover, we design a dynamic reward function considering both the quality of user experience and dynamic system variables. Therefore, the rate adaption problem is formulated into a Markov decision based optimization problem and the best streaming policy is obtained. At last, the effectiveness of our proposed rate adaption scheme is demonstrated by numerous experiment results.

On the Translation of Chinese Film Title from the Perspective of Conceptual Adaption Theory

As the rapid development of Internet, the film is an effective way to transmit Chinese culture through the language adaption. And the film title can catch people's eyes more quickly. Some scholars think that the translation of Chinese film titles should from the Functional Perspective. Some scholars think that it should do from the perspective of Skopos Theory. However, there are not enough scholars try to do it from the Perspective of the Contextual Adaption Theory. It is important to find an idea to translate the Chinese film titles to achieve that. So, this thesis try to find a effective way to translate the Chinese film titles. According to the contextual adaption theory, this thesis draws a conclusion that the translators can directly use the Chinese images in the film titles.

An Analysis of Film Adaption of Literary Works——Take Henry VI as an Example

Under the development of the modern media,the adaption of literary works to films has been developed into a new trend.It is true enough to say that there are both advantages and disadvantages of film-making.However,to some extent,the film Henry VI is an appropriate adaption toward the original text.

Bandwidth adaption for kernel particle filter

A novel particle filter bandwidth adaption for kernel particle filter （BAKPF） is proposed. Selection of the kernel bandwidth is a critical issue in kernel density estimation （KDE）. The plug-in method is adopted to get the global fixed bandwidth by optimizing the asymptotic mean integrated squared error （AMISE） firstly. Then, particle-driven bandwidth selection is invoked in the KDE. To get a more effective allocation of the particles, the KDE with adap- tive bandwidth in the BAKPF is used to approximate the posterior probability density function （PDF） by moving particles toward the posterior. A closed-form expression of the true distribution is given. The simulation results show that the proposed BAKPF performs better than the standard particle filter （PF）, unscented particle filter （UPF） and the kernel particle filter （KPF） both in efficiency and estimation precision.

Technology Demand Assessment of Adaption of Chinese Cities to Climate Change

Climate change adaptation is the process of preparing and actively adjusting to meet the climate change (negative effects and potential opportunities). Urban adaptation is aimed at the sensitivity level of risks and specific impacts of cities under the impact of climate change, and to develop policies and investment programs to reduce the vulnerability of cities to climate change risk. Urban adaptive action provides the basis and direction for the construction of urban resilience and sustainable development. Identifying the demand of adaption technologies, promoting the practical implementation of international technology transfer and reducing domestic emissions have important significance for the global response to climate change and improvement of the ability of urban adaptation. In this paper, through in-depth analysis on the concept and connotation of climate change, climate disasters and urban adaptation to climate change, the evaluation framework and steps of urban adaptation to climate change technology are determined, and six priority application technologies which can maximize the overall efficiency of sustainable development, improve the ability to adapt to climate change and at the same time reduce the cost at the greatest extent are identified.

Study on Paths of Affect Factors on Adaption to University Life of Chinese International Students in Korea —Choosing Korean Training Chinese Students as Main Investigation Objects

The purpose of this paper is to study effect factors of adaptation to university life of Chinese International Students in Korea. 374 Korean language trainees are chosen as investigation objects by means of random cluster sampling. Questionnaire data are collected by using the survey form and then paths of effect factors on adaption to university life of Korean training Chinese students in Korea are analyzed. The results indicate that Korean language proficiency, physical symptoms, loneliness, self-efficacy, acculturation stress are direct effect factors on Chinese students adapting to university life in Korea. Besides, Korean language proficiency, physical symptoms, loneliness are not only direct effect factors on self-efficacy and acculturation stress but also indirect effect factors on Chinese students adapting to university life in Korea. In order to improve ability of Korean training Chinese students adapting to university life in Korea, Korean language proficiency and self-efficacy should be improved. And, some effective interventions should be given to reducing physical symptoms, loneliness and acculturation stress.

Translation, Cultural Adaption and Validation of Hospital Survey on Patient Safety Culture in Kosovo

Background: An essential condition to improve patient safety is considered to ensure a supportive patient safety culture. Measuring the culture of patient safety in all health care institutions may be a first step to target improvements. Creating a culture of safety requires eliminating the culture of blame. In order to formulate actions for improvement, it is important for hospitals to assess their baseline scores for the existing safety culture and to determine the areas of priority. Aim: The aim of this study was first to measure the use, translation in Albanian and adaptation of the Hospital Survey on Patient Safety Culture (HSOPSC) assessment as a tool for improving patient safety in Kosovo Hospitals. The second aim was to measure the level of patient safety culture in Kosovo, in seven hospitals and one University Clinical Center (hospitals with over 50 beds, including psychiatric hospitals). Method: The questionnaire (HSOPSC) was translated into Albanian for use in the Kosovo. It was used forward-backward translation: the questions were translated into Albanian by one translator and then translated back into English by an independent translator who was blinded to the original questionnaire. Results: In the eight-factor model, the internal consistency of the factors and the construct validity of the HSOPSC questionnaire were mostly satisfactory. The construct validity was sufficient for all subscales, except for the 4 other subscale regarding intention to report incidents which correlated poorly with other subscales. In total, HSOPSC has 12 dimensions. Cronbach’s α showed that in Kosovarian society, we could use only 8 dimensions model. Conclusion: The hypothesis that HSOPSC would be a suitable instrument to provide important indicators for the improvement of patient safety culture was tested and it was confirmed, that HSOPSC could be used as 8 dimension model. HSOPSC is suitable to improve patient safety culture and provide each hospital with a basic profile on patient safety culture and recommendations for an oriented intervention plan.

Mitochondrial energy metabolism in diabetic cardiomyopathy:Physiological adaption,pathogenesis,and therapeutic targets

Diabetic cardiomyopathy is defined as abnormal structure and function of the heart in the setting of diabetes,which could eventually develop heart failure and leads to the death of the patients.Although blood glucose control and medications to heart failure show beneficial effects on this disease,there is currently no specific treatment for diabetic cardiomyopathy.Over the past few decades,the pathophysiology of diabetic cardiomyopathy has been extensively studied,and an increasing number of studies pinpoint that impaired mitochondrial energy metabolism is a key mediator as well as a therapeutic target.In this review,we summarize the latest research in the field of diabetic cardiomyopathy,focusing on mitochondrial damage and adaptation,altered energy substrates,and potential therapeutic targets.A better understanding of the mitochondrial energy metabolism in diabetic cardiomyopathy may help to gain more mechanistic insights and generate more precise mitochondria-oriented therapies to treat this disease.

Power and rate adaption in wireless communication systems with energy harvesting-based on soft decision decoding

In this paper,the online power control and rate adaptation for a wireless communication system with energy harvesting(EH)are investigated,in which soft decision decoding is adopted by the receiver.To efficiently utilize the harvested energy and maximize the actual achievable transmission rate under the constraints of the available channel codes and modulation schemes,the transmit power,code rate and modulation order are jointly optimized.The Lyapunov framework is used to transform the long-term optimization problem into a per time slot optimization problem.Since there is no theoretical formula for the error rate of soft decision decoding,the optimization problem cannot be solved analytically.A table to find the optimal modulation order and code rate under the different values of signal-to-noise ratio(SNR)is built first,and then a numerical algorithm to find the solution to the optimization problem is given.The feasibility and performance of the proposed algorithm are demonstrated by simulation.The simulation results show that compared with the algorithms to maximize the theoretical channel capacity,the proposed algorithm can achieve a higher actual transmission rate.

Time-dependent metabolomics uncover dynamic metabolic adaptions in MCF-7 cells exposed to bisphenol A

The biochemical consequences induced by xenobiotic stress are featured in dose-response and timeresolved landscapes.Understanding the dynamic process of cellular adaptations is crucial in conducting the risk assessment for chemical exposure.As one of the most phenotype-related omics,metabolome in response to environmental stress can vary from seconds to days.Up to now,very few dynamic metabolomics studies have been conducted to provide time-dependent mechanistic interpretations in understanding xenobiotics-induced cellular adaptations.This study aims to explore the time-resolved metabolite dysregulation manner and dynamically perturbed biological functions in MCF-7 cells exposed to bisphenol A(BPA),a well-known endocrine-disrupting chemical.By sampling at 11 time points from several minutes to hours,thirty seven significantly dysregulated metabolites were identified,ranging from amino acids,fatty acids,carboxylic acids and nucleoside phosphate compounds.The metabolites in different pathways basically showed distinct time-resolved changing patterns,while those within the common class or same pathways showed similar and synchronized dysregulation behaviors.The pathway enrichment analysis suggested that purine metabolism,pyrimidine metabolism,aminoacyl-tRNA biosynthesis as well as glutamine/glutamate(GABA)metabolism pathways were heavily disturbed.As exposure event continued,MCF-7 cells went through multiple sequential metabolic adaptations from cell proliferation to energy metabolism,which indicated an enhancing cellular requirement for elevated energy homeostasis,oxidative stress response and ER-αmediated cell growth.We further focused on the time-dependent metabolite dysregulation behavior in purine and pyrimidine metabolism,and identified the impaired glycolysis and oxidative phosphorylation by redox imbalance.Lastly,we established a restricted cubic splinebased model to fit and predict metabolite’s full range dysregulation cartography,with metabolite’sensitivity comparisons retrieved and novel biomarkers suggested.Overall,the results indicated that 8 h BPA exposure leaded to global dynamic metabolome adaptions including amino acid,nucleoside and sugar metabolism disorders,and the dysregulated metabolites with interfered pathways at different stages are of significant temporal distinctions.

Importance-Weighted Transfer Learning for Fault Classification under Covariate Shift

In the process of fault detection and classification,the operation mode usually drifts over time,which brings great challenges to the algorithms.Because traditional machine learning based fault classification cannot dynamically update the trained model according to the probability distribution of the testing dataset,the accuracy of these traditional methods usually drops significantly in the case of covariate shift.In this paper,an importance-weighted transfer learning method is proposed for fault classification in the nonlinear multi-mode industrial process.It effectively alters the drift between the training and testing dataset.Firstly,the mutual information method is utilized to perform feature selection on the original data,and a number of characteristic parameters associated with fault classification are selected according to their mutual information.Then,the importance-weighted least-squares probabilistic classifier(IWLSPC)is utilized for binary fault detection and multi-fault classification in covariate shift.Finally,the Tennessee Eastman(TE)benchmark is carried out to confirm the effectiveness of the proposed method.The experimental result shows that the covariate shift adaptation based on importance-weight sampling is superior to the traditional machine learning fault classification algorithms.Moreover,IWLSPC can not only be used for binary fault classification,but also can be applied to the multi-classification target in the process of fault diagnosis.

A Descriptive Translation Study of Chinese Translation of French Musical Roméo et Juliette

This paper presents a Descriptive Translation Study(DTS)analysis of the Chinese translation of the French musical adaptation of Romeo and Juliet,titled Roméo et Juliette:de la Haineàl’Amour.Romeo and Juliet,a timeless play by Shakespeare,has captivated audiences since its premiere in 1597 and has been adapted into various forms,including stage productions,films,musicals,and operas.The focus of this study is to analyze the Chinese translation of the French musical adaptation from a DTS perspective.DTS is an approach that aims to understand the translation process and its reception in the target culture.By examining language choices,cultural references,and adaptation strategies,this study seeks to shed light on how the Chinese translation of the French musical functions within the target culture and influences the reception and interpretation of the source text.This analysis is expected to gain insights into the challenges and strategies employed in translating a musical adaptation of Romeo and Juliet into Chinese.The findings of this study will contribute to the field of translation studies and provide a deeper understanding of the complexities involved in the translation of musical works.

中国改编指南的现状分析

目的分析中国改编指南的制订现状及其方法学质量和报告质量,为我国改编指南的制订和发展提供参考。方法系统检索中国知网、万方数据知识服务平台、中国生物医学文献数据库、PubMed数据库,纳入2015—2023年由中国研究者或机构牵头制订的改编指南,提取改编指南的基本信息,采用AGREEⅡ和RIGHT-Ad@pt工具评价改编指南的方法学质量和报告质量。结果共纳入14部改编指南,主要集中于护理领域(42.9%,6/14),最常采用的改编方法是ADAPTE方法(71.4%,10/14),参照的原指南主要来自美国、英国和国际组织。AGREEⅡ工具的评估结果显示,改编指南的方法学质量平均得分为36.6%,表达明晰性和制订严谨性领域得分相对较高(44.4%和54.9%),应用性领域得分最低(15.3%);RIGHT-Ad@pt工具的评估结果显示,改编指南的报告质量相对较好,报告率最高为91.2%,最低为35.3%,其中7部报告率均高于70%。结论中国改编指南仍处于起步阶段,数量少且主要集中于护理领域,最常采用的改编方法是ADAPTE方法;改编指南的方法学质量和报告质量有待进一步提升,未来应针对改编指南制订的具体条件和时机开展更多相关研究。

Communication Resource-Efficient Vehicle Platooning Control With Various Spacing Policies

Platooning represents one of the key features that connected automated vehicles may possess as it allows multiple automated vehicles to be maneuvered cooperatively with small headways on roads. However, a critical challenge in accomplishing automated vehicle platoons is to deal with the effects of intermittent and sporadic vehicle-to-vehicle data transmissions caused by limited wireless communication resources. This paper addresses the co-design problem of dynamic event-triggered communication scheduling and cooperative adaptive cruise control for a convoy of automated vehicles with diverse spacing policies. The central aim is to achieve automated vehicle platooning under various gap references with desired platoon stability and spacing performance requirements, while simultaneously improving communication efficiency. Toward this aim, a dynamic event-triggered scheduling mechanism is developed such that the intervehicle data transmissions are scheduled dynamically and efficiently over time. Then, a tractable co-design criterion on the existence of both the admissible event-driven cooperative adaptive cruise control law and the desired scheduling mechanism is derived. Finally, comparative simulation results are presented to substantiate the effectiveness and merits of the obtained results.