Subjects: Digital Publishing >> New Media submitted time 2023-10-08 Cooperative journals: 《中国传媒科技》
Abstract：信息化技术的发展正在逐步推动高等教育教学理念和模式的变革，融合出版时代对教育出版单位的要求越来越高。文章以某出版社学前教育虚拟仿真教学实训平台开发为例，分析了在融合出版时代背景下虚拟仿真技术与高校学前教育专业教学实训融合的必要性；探讨了虚拟仿真教学实训平台在学前教育专业的应用开发现状和存在的问题；并通过该平台的开发实践讲解阐述了平台的系统设计和开发路径；为学前教育专业教学实训模式创新和高校、出版单位、科技公司和幼儿园的深度跨界融合提供借鉴。
Subjects: Digital Publishing >> New Media submitted time 2023-10-08 Cooperative journals: 《中国传媒科技》
Abstract：
Subjects: Digital Publishing >> New Media submitted time 2023-10-08 Cooperative journals: 《中国传媒科技》
Abstract：混音是将音轨优化组装最终形成音乐的关键步骤,混音技术的优劣直接影响音乐作品成效。在社会科技的发展下,数字信号处理、音频编码、数字内容缓存、无线技术等的发展能够满足消费者对音乐的不同需求,音频混音将迎来发展更为广阔的市场。
Subjects: Digital Publishing >> New Media submitted time 2023-10-08 Cooperative journals: 《中国传媒科技》
Abstract：图片已经成为连接媒体、品牌以及消费者的最高效的传播媒介之一。图片特征描述是图片检索、推荐和交换的重要基础。基于当前图片应用和图片元数据标准的现状分析,文章提出了着重描述图片内容和语义特征的图片内容元数据体系框架,并以此为基础完成了国家标准《中文新闻图片内容描述元数据规范》的编制,填补了国内图片元数据标准的空白,有助于提高图片标注效率和质量,更好地满足图片获取和交易交换的需要。
Subjects: Medicine, Pharmacy >> Clinical Medicine submitted time 2023-03-28 Cooperative journals: 《中国全科医学》
Abstract： Background Coronary collateral circulation（CCC）reduces the degree of myocardial ischemia and improves prognosis of patients with severe coronary artery stenosis，but CCC development varies significantly among different patients. The influencing factors of CCC development still remain clear，but the increase of inflammation response and inflammatory markers is associated with CCC. The C-reactive protein to albumin ratio（CAR）is a newly reported indicator of inflammation，which has been shown in several studies to be superior to C-reactive protein（CRP）and albumin（ALB）in reflecting cardiovascular inflammation. At present，there are few studies on the correlation between CAR level and CCC development. Objective To investigate the correlation between CAR and CCC development in unstable angina pectoris（UAP）patients. Methods 135 UAP patients who underwent percutaneous coronary intervention during their hospitalization in the Cardiology Department of the First Affiliated Hospital of Soochow University from December 2021 to November 2022 were enrolled as study subjects. The clinical data of the patients were collected and the CCC grade was assessed using the Rentrop grading method. The patients were divided into the well-developed CCC group（Rentrop grade 2-3，n=52）and poor-developed CCC group（Rentrop grade 0-1，n=83）according to the angiographic results. Univariate Logistic regression and multivariate Logistic regression analyses were used to explore the influencing factors of poor-developed CCC. Receiver operating characteristic curves （ROC curves） were plotted to evaluate the predictive value of CRP，ALB and CAR on poor-developed CCC，the area under the ROC curve （AUC） was calculated，the Delong test was used to compare the AUC of each index in predicting poor-developed CCC. Results A total of 135 UAP patients were enrolled，including 87 males and 48 females，with an average age of（65.5±7.1）years. The proportions of diabetes mellitus，smoking，CRP，and CAR of patients in the poor-developed CCC group were significantly higher than the well-developed CCC group（P<0.05）. Univariate Logistic regression analysis considering clinical information variables of P<0.2 as independent variables results showed that diabetes mellitus，smoking，triacylglycerol，LDL cholesterol，CRP，ALB and CAR were influencing factors for poor-developed CCC（P<0.05）. Multivariate Logistic regression analysis results showed that CAR and diabetes mellitus were influencing factors for poor-developed CCC. The ROC curve results of CRP，ALB，and CAR in predicting poor-developed CCC showed that the AUC of CRP，ALB，and CAR in predicting poor-developed CCC were 0.771〔95%CI（0.691，0.851）〕，0.745〔95%CI（0.663，0.851）〕，0.813〔95%CI（0.739，0.886）〕. There were significant differences among the AUC of CRP，ALB，and CAR in predicting poor-developed CCC，the AUC of CAR in predicting poor-developed CCC was higher than CRP（Z=3.869，P<0.001），ALB（Z=3.044，P=0.002），the AUC of CRP in predicting poor-developed CCC was higher than ALB（Z=2.000，P=0.046）. Conclusion CAR and diabetes mellitus are influencing factors for poor-developed CCC in UAP patients，elevated CAR level can predict poor-developed CCC with higher predictive value than CRP and ALB.
Subjects: Psychology >> Social Psychology submitted time 2023-03-27 Cooperative journals: 《心理学报》
Abstract： The sense of agency refers to the experience of "I am the initiator of actions, controlling the external world". Temporal binding, which is related to the sense of agency, refers to the subjective compression of the perceived time interval between voluntary action and its action outcome. Previous studies have explored the effect of emotional valence on temporal binding by setting the predictability of emotional valence as the control variable. However, the effect of the predictability of emotional valence on temporal binding remains unknown. This study explored the effect of the predictability of emotional valence of action outcomes on temporal binding, based on the hypothesis that temporal binding is stronger when emotional valence is more predictable. This study used Libet’s clock paradigm to investigate the effect of the predictability of emotional valence of action outcomes on temporal binding. A 2 (predictability of emotional valence, within: predictable vs. unpredictable) × 2 (stimulus modality, between: auditory vs. visual) mixed design was employed. A total of 60 participants were randomly assigned to one of two between-subject conditions, resulting in 30 in the auditory group and 30 in the visual group. There were two main phases of the study. During the baseline phase, the participants in the two groups were asked to either press the key at a freely chosen point from 2, 560ms to 5, 120ms or perceive the auditory/visual stimulus randomly from 2, 560ms to 5, 120ms after the trial start. Next, they were asked to estimate the position of the clock hand at the onset of either the key-press or the stimulus. During the operant phase, participants were also asked to press the key at a freely chosen point from 2, 560ms to 5, 120ms. The key-press would cause the auditory/visual emotional outcome (negative, neutral or positive) following a delay duration of 250ms. Next, they were asked to estimate the position of the clock hand at the onset of either the key-press or the emotional outcome. When the emotional valence was predictable, there would be a fixed emotional outcome to the key-press (negative, neutral or positive) in 80% of trials and the other remaining emotional outcome in 20% of trials. When the emotional valence was unpredictable, the key-press would result in one of the three emotional outcomes. The results showed that temporal binding was enhanced when the emotional valence was predictable. Furthermore, when emotional valence was predictable, the outcome binding was stronger in both the auditory and visual groups, whereas the action binding was stronger only in the visual group. In conclusion, the predictability of emotional valence is an important factor affecting temporal binding. The predictability of emotional valence can enhance outcome binding in both auditory and visual modalities, but can only enhance action binding in the visual modality. This may be due to the difference between action and outcome binding mechanisms or between the timing systems of auditory and visual stimuli. These results have an important implication for the interactive design of Advanced Driver Assistance Systems (ADAS) since temporal binding is the main index of the sense of agency.#predictability of emotional valence, temporal binding, stimulus modality, sense of agency, human- computer interaction, advanced driver assistance systems
Subjects: Materials Science >> Materials Science (General) submitted time 2023-03-19 Cooperative journals: 《金属学报》
Abstract： During austenite to ferrite transformation, the lattice structure transforms from fcc to bcc, resulting in a clearly distinguishable austenite and ferrite interface. The short range diffusion of the Fe and C atoms across the interface causes its movement, referred to as interface migration. On the other hand, the C rejected by the ferrite during the austenite to ferrite transformation in Fe-C alloys accumulates ahead of the moving interface. This pile-up of C atom is dependent on the long range diffusion of C in austenite and also influences the ferrite growth kinetics. Experimental observations indicate that dislocations are always migrating with ledges during ledgewise growth. The local stress field of dislocations is considered to alter the solute concentration at the riser of ledges and causes a complex diffusion field interaction among ledges as they migrate. Some established works by other researchers have already taken the effect into consideration when studying phase transformation kinetics. However, these works were limited in diffusion control cases and could hardly explain some experimental results. In this work, a ledgewise growth model considering migration of austenite/ferrite interface, C diffusion in austenite and especially elastic interactions between dislocations moving with ferrite ledges was established, and all the simulated results were qualitatively similar to the reported experimental results. Calculated results showed that the C concentration at the riser of ledges was changed by the elastic stress of these dislocations, which would further change the growth behavior of ledges. In the growth behavior simulations of two ledges, the horizontal distance of the two ledges was found to be a key role to determine the growth kinetics. When the horizontal distance of two ledges was larger than the critical distance, an attractive phenomenon of the two ledges was found to decelerate the leading step; while a repulsive phenomenon of the two ledges which would accelerate the leading ledge if the horizontal distance was smaller than this value. Compared with the simulation results without considering elastic interactions between dislocations, however, in the growth behavior simulations of multi-ledge with elastic dislocation interactions, the coalescence behavior of ledges and growth rate of the leading step were both changed.
Subjects: Psychology >> Industrial Psychology submitted time 2022-05-19
Abstract：
The sense of agency refers to the experience of "I am the initiator of actions, controlling the external world". Temporal binding, which is related to the sense of agency, refers to the subjective compression of the perceived time interval between voluntary action and its action outcome. Previous studies have explored the effect of emotional valence on temporal binding by setting the predictability of emotional valence as the control variable. However, the effect of the predictability of emotional valence on temporal binding remains unknown. This study explored the effect of the predictability of emotional valence of action outcomes on temporal binding, based on the hypothesis that temporal binding is stronger when emotional valence is more predictable.
This study used Libet’s clock paradigm to investigate the effect of the predictability of emotional valence of action outcomes on temporal binding. A 2 (predictability of emotional valence, within: predictable vs. unpredictable) × 2 (stimulus modality, between: auditory vs. visual) mixed design was employed. A total of 60 participants were randomly assigned to one of two between-subject conditions, resulting in 30 in the auditory group and 30 in the visual group. There were two main phases of the study. During the baseline phase, the participants in the two groups were asked to either press the key at a freely chosen point from 2,560ms to 5,120ms or perceive the auditory/visual stimulus randomly from 2,560ms to 5,120ms after the trial start. Next, they were asked to estimate the position of the clock hand at the onset of either the key-press or the stimulus. During the operant phase, participants were also asked to press the key at a freely chosen point from 2,560ms to 5,120ms. The key-press would cause the auditory/visual emotional outcome (negative, neutral or positive) following a delay duration of 250ms. Next, they were asked to estimate the position of the clock hand at the onset of either the key-press or the emotional outcome. When the emotional valence was predictable, there would be a fixed emotional outcome to the key-press (negative, neutral or positive) in 80% of trials and the other remaining emotional outcome in 20% of trials. When the emotional valence was unpredictable, the key-press would result in one of the three emotional outcomes.
The results showed that temporal binding was enhanced when the emotional valence was predictable. Furthermore, when emotional valence was predictable, the outcome binding was stronger in both the auditory and visual groups, whereas the action binding was stronger only in the visual group.
In conclusion, the predictability of emotional valence is an important factor affecting temporal binding. The predictability of emotional valence can enhance outcome binding in both auditory and visual modalities, but can only enhance action binding in the visual modality. This may be due to the difference between action and outcome binding mechanisms or between the timing systems of auditory and visual stimuli. These results have an important implication for the interactive design of Advanced Driver Assistance Systems (ADAS) since temporal binding is the main index of the sense of agency.
Peer Review Status:
Awaiting Review
Subjects: Psychology >> Cognitive Psychology submitted time 2022-03-17
Abstract：
Task-evoked brain activity is the basic experimental paradigm for exploring the brain mechanisms of psychological processes. So far, the major techniques for detecting brain activity, such as brain activation and event-related potential, assume that there is no interaction or only a negligible interaction between evoked brain activity (EBA) and spontaneous brain activity (SBA). Therefore, the general linear model is usually used to explore the brain mechanisms of psychological processes. The absence of interaction between EBA and SBA, however, violates the fundamental principle of neuroplasticity. On the other hand, SBA is the main component of brain activity. It consumes 95 % of the brain’s total energy and is the major source of variations in both stimulus-dependent and stimulus-independent brain activities. Therefore, SBA is more important for psychological processes. These challenges warrant new ideas and techniques to uncover the brain mechanisms of psychological processes.
SBA and EBA interact with each other to ensure the stability and plasticity of brain functions. They are similar in the basic structure of functional networks, but different in spatiotemporally dynamic patterns. These findings raise the question: how do they play with each other to reconcile stable brain activity and ever changing environment? It has been found that SBA strongly influences EBA on multiple facets. On the contrary, EBA dramatically reduces functional connectivity and temporal variability, as well as the global pattern of functional organization of SBA. Furthermore, they impact on each other simultaneously. Therefore, the brain mechanisms of psychological processes cannot be effectively uncovered only by EBA or by static interaction between EBA and SBA. Instead, EBA and SBA have to be seen as an evolving entirety. This research orientation coincides with the opinion of enactive cognition (EC).
The EC is a new orientation of cognitive sciences following information processing and embodied cognition. According to predictive-processing theories of EC, brain activity is unified and active. It adjusts its own activity pattern by reducing the error between expectation and stimulus, adapting to the ever changing environment. A large number of empirical studies have shown that brain activity is a control-oriented process rather than merely representing the external world. In this sense, SBA is actually enactive brain activity. Enactive brain activity is supported by mathematical models such as the dynamical systems theory and Bayesian theory, and finally unified by the free-energy principle. The free-energy principle suggests that the brain, just like any organisms, is a self-organizing complex system. It adapts itself to the ever changing environment by minimizing errors (or free-energy) between prediction and real stimulation. The EC restores the biological and complex system properties of the brain, ushering in a new era of enactive brain activity.
The enactive brain activity causes a shift in the research paradigm, making investigations on the brain mechanisms of psychological processes more scientific and ethical. Instead of paying attention to low signal-to-noise ratio evoked brain signals and inter-trial stabilities, the new paradigm emphasizes the dynamic integration of task-state and resting-state brain activities, and develops new ways to track dynamic brain activities, constantly changing our understanding of the brain mechanisms of psychological processes. In addition, EC abandons “stimulating” and “evoked”, and values the initiative of brain activity. It will change the status of “participant” in psychological studies. These efforts make it more scientific and humanized in researches on the brain mechanisms of psychological processes.
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Peer Review Status:Awaiting Review
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2020-09-28 Cooperative journals: 《计算机应用研究》
Abstract： Recently, deep neural networks need to be deployed with low memory and computing resources, so it is necessary to design an efficient and compact network structure. This paper proposed a model compression method (KE) based on improved attention transfer for the design of compact neural networks, which mainly used a wide residual teacher network (WRN) to guide a compact student network (KENet) by extracting both spatial and channel-wise attention to improve the performance, and applied this method to real-time object detection. The image classification experiment on CIFAR verified that the knowledge distillation method with improved attention transfer can improve the performance of the compact model. The object detection experiment on VOC verified that the model KEDet has good accuracy (72.7mAP) and time performance (86FPS) . The experimental results show that the object detection model based on improved attention transfer has good accuracy and real-time performance.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2020-09-28 Cooperative journals: 《计算机应用研究》
Abstract： Aiming at the problem of excessive time, space complexity and unbalanced load for each node based on the parallel frequent itemset mining algorithm MRPrePost, this paper proposed an optimization parallel frequent itemset mining algorithm based on MapReduce, named PFIMD. Firstly, this algorithm adopted a data structure called DiffNodeset, which effectively avoid the defect that the N-list cardinality got very large in the MRPrePost algorithm. Secondly, in order to reduce the time complexity of this algorithm, it designed the T-wcs (2-way Comparison Strategy) to avoid the invalid calculation in the procession of two DiffNodesets connection. Finally, considering the impact of cluster load on the efficiency of parallel algorithm, it proposed the LBSBDG (Load Balancing Strategy Based on Dynamic Grouping) , which decreased the size of PPC-Tree on each computing node and reduced the amount of time required to traverse the PPC-Tree by evenly grouping each item in the F-list. The experimental results show that the modified algorithm has better performance on mining frequent itemset in a big data environment.
Subjects: Geosciences >> Other Disciplines of Geosciences submitted time 2019-09-09 Cooperative journals: 《干旱区研究》
Abstract：为探寻天山地区气候模拟WRF（weather research and forecasting）模式中最优参数化方案组合，针对云微物理方案（MIC）、积云对流方案（CS）、行星边界层/近地面层方案（PBL/SLS）、陆面过程方案（LSM）以及长短波辐射方案（LSW）设计了6组季节尺度物理参数化方案敏感性试验，模拟时间设为2014-11-28—2015-12-01。利用地面气象站观测数据和GPM（global precipitation measurement）卫星降水数据（R≥0.6），对模式模拟的日最高、最低气温及降水进行验证。结果表明：WRF模式对气温的模拟效果较好，且对日最高气温（0.8
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