Abstract:The haptic sense is an essential component of aesthetic evaluation that is often overlooked in today’s mobile internet age. Unlike hearing and vision, the sense of touch is less widely transmitted. Unfortunately, most aesthetic theories and explanations have focused solely on the visual and auditory senses, with minimal attention given to tactile evaluation. To address this gap in knowledge, we have collected studies on tactile aesthetics within the framework of experimental aesthetics from 2000 to 2022. After statistical generalization, our findings (...) suggest the following: The criteria for evaluating tactile aesthetics were mostly dichotomous, that is, positive (like/appreciation/pleasure) and negative (dislike/disgust/unpleasant). Tactile aesthetics predominantly involved the toucher dimension (synesthesia/need for touch/touch pattern) and the touch sample dimension (shape/type/texture), with the commonly overlooked factors of “need for touch” and “touch pattern.” Some studies did not restrict the shape and material of the touch samples. Based on our findings, we have systematically summarized and concluded what tactile factors influence aesthetic evaluation and have analyzed future research trends. (shrink)

The explosion of multiomics data poses new challenges to existing data mining methods. Joint analysis of multiomics data can make the best of the complementary information that is provided by different types of data. Therefore, they can more accurately explore the biological mechanism of diseases. In this article, two forms of joint nonnegative matrix factorization based on the sparse and graph Laplacian regularization method are proposed. In the method, the graph regularization constraint can preserve the local geometric structure of data. (...) L 2,1 -norm regularization can enhance the sparsity among the rows and remove redundant features in the data. First, SG-jNMF1 projects multiomics data into a common subspace and applies the multiomics fusion characteristic matrix to mine the important information closely related to diseases. Second, multiomics data of the same disease are mapped into the common sample space by SG-jNMF2, and the cluster structures are detected clearly. Experimental results show that SG-jNMF can achieve significant improvement in sample clustering compared with existing joint analysis frameworks. SG-jNMF also effectively integrates multiomics data to identify co-differentially expressed genes. SG-jNMF provides an efficient integrative analysis method for mining the biological information hidden in heterogeneous multiomics data. (shrink)

The research object of this subject, through cooperation with Shanghai International Fashion Education Center, a fashion travel education institution, is a convenient sample for the members of its “Japan Fashion Travel Project,” using quantitative research methods and research tools for questionnaires. From the perspective of tourist shopping experience marketing, this paper studies the relationship among tourist marketing, value perception, shopping satisfaction, and customer loyalty to outlets, and discusses the recommendations for sustainable development of outlets.

Understanding the factors influencing the aesthetic experience of architectures is an important topic in empirical aesthetics. In this study, we examined the effect of three architectural factors, i.e., ceiling height, openness, and contour, on viewers’ aesthetic appreciation through a series of experiments. In previous studies on architectural aesthetics, participants were usually asked to view an image of an architectural space for a few seconds. The long viewing time allows them to focus on different parts of the architecture and then make (...) an aesthetic judgment. The long viewing time, however, also makes it difficult to obtain viewers’ aesthetic scores for a large number of architectural spaces in a short period. In this study, we shortened the visual presentation time to 200 ms, which allowed the viewers to have only one fixation on the image, and asked the viewers to make an aesthetic judgment. It was found that the experiment with a 200-ms viewing time could establish how the three architectural factors influenced aesthetic judgment as well as previous experiments with a 3,000-ms viewing time, suggesting that aesthetic judgment could be made within one fixation. Additionally, we investigated the impact of color on architectural aesthetic judgment by presenting grayscale images. We found that the three architectural factors influenced aesthetic judgment in similar ways for both color and grayscale images. In summary, we found that color was not a main factor modulating viewers’ architectural aesthetic judgments, and we also presented a way to quickly obtain aesthetic scores for architectural spaces. (shrink)

The complex characteristics of the gas turbine in a combined cycle unit have brought great difficulties in its control process. Meanwhile, the increasing emphasis on the efficiency, safety, and cleanliness of the power generation process also makes it significantly important to put forward advanced control strategies to satisfy the desired control demands of the gas turbine system. Therefore, aiming at higher control performance of the gas turbine in the gas-steam combined cycle process, a novel fuzzy model predictive control strategy based (...) on the fuzzy selection mechanism and simultaneous heat transfer search algorithm is presented in this paper. The objective function of rolling optimization in this novel FMPC consists of two parts which represent the state optimization and output optimization. In the weight coefficient selection of those two parts, the fuzzy selection mechanism is introduced to overcome the uncertainties existing in the system. Furthermore, on account of the rapidity of the control process, the SHTS algorithm is used to solve the optimization problem rather than the traditional quadratic programming method. The validity of the proposed method is confirmed through simulation experiments of the gas turbine in a combined power plant. The simulation results demonstrate the remarkable superiorities of the adopted algorithm with higher control precision and stronger disturbance rejection ability as well as less optimization time. (shrink)

With the development of geoscience, users are eager to obtain preferred service from geospatial information intelligently and automatically. However, the information grows rapidly while the service gets more complicated, which makes it difficult to find out the targeted information for an exact service in geospatial issues. In this paper, a novel method is proposed to promote the geospatial service from information to knowledge with spatiotemporal semantics. Both prompted and professional knowledge are further refined to be published as a service. In (...) terms of an exact task, numerous related services are recombined to a service chain under user requirement. Finally, the proposed method is applied to monitor the environment on the Air Quality Index and soil moisture in the Sensor Web service platform, the results of which indicate geospatial knowledge service is more efficient to support spatial decision-making. (shrink)

Following the COVID-19 pandemic, online learning has become a new mode of learning that students must adapt to. However, the mechanisms by which students receive and grasp knowledge in the online learning mode remain unknown. Cognitive load theory offers instructions to students considering the knowledge of human cognition. Therefore, this study considers the CLT to explore the internal mechanism of learning under the online mode in an experimental study. We recruited 76 undergraduates and randomly assigned them to four groups in (...) which they will watch videos at four different kinds of speed. The study observed and analyzed how video playback speed affected students' learning and cognitive load to obtain the following results: Video playback speed significantly influenced the students' learning effect. The best effect was observed at the speed of 1.25× and 1.5×. The speed that affected the learning effect best differed according to the students' learning abilities. High-level group students performed best at the speed of 1.5×, whereas low-level group students performed best at the speed of 1.25×. The 1.5× speed showed significant differences in the learning effect by students' majors. This indicates that the cognitive load of liberal arts students increased greatly at this speed. A change in playback speed has a significant impact on the cognitive load. Accelerated playback speed increases the cognitive load of students. The highest learning effect is observed under medium cognitive load. (shrink)

In this study, we focus on the problem of information expiration when using the traditional collaborative filtering algorithm and propose a new collaborative filtering algorithm by integrating the time factor. This algorithm considers information influence attenuation over time, introduces an information retention period based on the information half-value period, and proposes a time-weighted function, which is applied to the nearest neighbor selection and score prediction to assign different time weights to the scores. In addition, to further improve the quality of (...) the nearest neighbor selection and alleviate the problem of data sparsity, a method of calculating users’ sentiment tendency by analysis of user review features is proposed to mine users’ attitudes about the reviewed items, which expands the score matrix. The time factor and sentiment tendency are then integrated into the K-means clustering algorithm to select the nearest neighbor. A hybrid collaborative filtering model based on the improved K-means clustering algorithm is then proposed, by combining item-based and user-based collaborative filtering. Finally, the experimental results show that the proposed algorithm can address the time effect and sentiment analysis in recommendations and improve the predictive performance of the model. (shrink)

This paper considers the consensus control problem of nonlinear spatial-temporal hyperbolic partial difference multiagent systems and parabolic partial difference multiagent systems with time delay. Based on the system’s own fixed topology and the method of generating the desired trajectory by introducing virtual leader, using the consensus tracking error between the agent and the virtual leader agent and neighbor agents in the last iteration, an iterative learning algorithm is proposed. The sufficient condition for the system consensus error to converge along the (...) iterative axis is given. When the iterative learning number k approaches infinity, the consensus error in the sense of the L 2 norm between all agents in the system will converge to zero. Furthermore, simulation results illustrate the effectiveness of the algorithm. (shrink)

The rapid development of digital technologies has transformed the world but can be a double-edged sword. We study the interaction of important variables that affect individual news reporters’ performance in which digital technology is the dominant feature. A multilevel model illustrates how transactive memory and job competence affect individual performance. The empirical study includes data from 19 teams of news reporters and 211 valid survey responses, applying hierarchical linear modeling to analyze the data. The results indicate that transactive memory and (...) technology competence help to improve a reporter’s job performance. More importantly, teamwork competence fully mediates the relationships. Our findings thus suggest that teamwork competence is the core skill. Neither technology competence nor transactive memory alone translates directly into enhanced individual performance. (shrink)

The aim of this study was to explain previous inconsistent results regarding the effects of positive affect on creative cognition based on the motivational dimensional model of affect theory and provide the underlying neural correlates of the effects of different approach-motivation intensities of positive affect on creative processes (creative idea generation and creative idea evaluation) using the functional near-infrared spectroscopy (fNIRS) technique. Sixty participants were randomly assigned to three groups (high-approach-motivated positive affect (HAM), low-approach-motivated positive affect (LAM) and affectively neutral (...) state (NS)) to complete corresponding tasks in creative idea generation and creative idea evaluation stages. In the creative idea generation stage, the results indicated that the LAM group achieved a higher performance in flexibility and originality than the NS group. However, compared with the NS group, the LAM group exhibited a lower sensitivity in the creative idea evaluation stage. The fNIRS technique provides an ideal approach with high ecological validity for exploring the issue of affect and creativity. In current study, fNIRS results showed that the HAM group exhibited significantly more activation in the bilateral frontal lobe than the LAM group and NS group in the creative idea generation stage. This result could reflect individuals attempting to overcome a narrowed attentional scope state through the activation of bilateral frontal cortical resources in the creative process. In the creative idea evaluation stage, compared with the NS group, the LAM group showed significant deactivation in the right dorsolateral prefrontal cortex, which is a brain area associated with executive, controlled processing. Moreover, the approach-motivation intensity altered the connectivity between the left prefrontal cortex and left superior temporal gyrus in the creative idea generation stage. Thus, the influences of positive affect on creative cognitive processes (both creative performance and hemodynamic responses) were modulated by the approach-motivation intensity in the creative idea generation and creative idea evaluation stages. (shrink)

ObjectivesTo simulate hemodynamic changes after extraluminal compression in pulsatile tinnitus patients with a prominent transverse-sigmoid sinus junction.MethodsOne patient-specific case was reconstructed based on computed tomography venography images of a PT patient. The compression degree served as a new index in this study. Cases with 10, 20, 30, 40, 50, 60, 70, 80, and 90% of the compression degree of the control subject were constructed. Steady-state computational fluid dynamics were assessed. The wall pressure distribution, wall maximum pressure and flow pattern of (...) the PTSJ were calculated to evaluate hemodynamic differences among all cases.ResultsWith increasing compression, the wall pressure at the compression point and downstream of the PTSJ decreased but increased upstream. When the compression degree exceeded 70%, the upstream pressure increased significantly. Above 50% compression, the blood flow pattern downstream of the sigmoid sinus tended to spiral, especially after 80% compression. Beyond 60% compression, the blood flow pattern under the compression axis became more medial.ConclusionMechanical compression of PTSJ changes wall pressure and blood flow patterns. The degree of compression should be carefully observed to avoid possible complications or reoccurrence. (shrink)

Several years ago, in quantum mechanics, Davies proposed a method to calculate particle’s traveling time with the phase difference of wave function. The method is convenient for calculating the sojourn time inside a potential step and the tunneling time through a potential hill. We extend Davies’ non-relativistic calculation to relativistic quantum mechanics, with and without particle-antiparticle creation, using Klein–Gordon equation and Dirac Equation, for different forms of energy-momentum relation. The extension is successful only when the particle and antiparticle creation/annihilation effect (...) is negligible. (shrink)

ObjectiveThis study aimed to analyze the hearing improvement and prognosis factors of idiopathic sudden sensorineural hearing loss in different ages with initial total hearing loss.MethodsWe reviewed the medical records of 5,711 hospitalized patients with ISSNHL from 2016 to 2021 in our center. All of the patients had been treated with uniform combination drug therapy. After excluding the patients with initial partial hearing loss and those diagnosed with clear etiology, 188 patients were enrolled in this study and divided into six age (...) groups. In all groups, decreases in pure-tone average 1 month posttreatment, effective rate, and clinical characteristics were analyzed.ResultsAmong the 188 enrolled patients, 86% had vertigo. Complete recovery was seen in 0.5% of patients, and marked recovery was seen in 43% of patients. The mean 1 month posttreatment PTAs were as follows: 18–30 years: 80 ± 7.5 dB; 31–40 years: 100 ± 9.0 dB; 41–50 years: 99 ± 8.3 dB; 51–60 years: 101 ± 8.6 dB; 61–70 years: 96 ± 9.6 dB; and ≥ 71 years: 88 ± 13.0 dB. Compared with the other groups, the 18–30- years group showed better recovery of hearing threshold in five frequencies, and the recovery of hearing threshold at 0.25 and 0.5 Hz was better than the recovery at 1, 2, and 4 kHz. According to the results of the chi-square test statistical analysis, vertigo and comorbidities were associated with a poor prognosis of ISSNHL.ConclusionIn summary, the treatment outcomes of patients with ISSNHL with initial total hearing loss were poor. There was a significant age-related difference with respect to marked recovery 1 month posttreatment, and the 18–30- years group showed better recovery than the other age groups. (shrink)

The performance of the grinding wheel demonstrably affects the machining efficiency and the quality of the workpiece. Therefore, it is essential to evaluate the wear of the wheel and then operate the dressing or replacement in time. The wear procession of the wheel was monitored and evaluated systematically in this paper. A surface grinding experiment was performed by using an alumina wheel to grind the workpiece made of Cr12. The grinding force and the grinding temperature were monitored and measured while (...) the wheel grinds the workpiece. The surface topography of the wheel was also being observed. The distribution of the gray value of pixels in the image of the wheel surface was analyzed by the method of the histogram. Processing of the binary image of the wheel was performed after determining the gray threshold of the gray value. Then, the blockading and the wearing area on the grinding wheel were calculated. Moreover, the relation of the projection area of a single abrasive derived from theory and derived by image recognition was studied. The results of the grinding experiment show that wheel performance degradation occurs when the material removal volume reaches 210 mm3/mm. At this time, the ratio of blockage area on the grinding wheel reaches 13.4%. The percentage of the wearing area is 9.5%. The method of image recognition combined with grinding temperature is workable to realize monitoring and evaluating the wear of wheels on site without unloading them. (shrink)

Neurite orientation dispersion and density imaging is a diffusion model specifically designed for brain magnetic resonance imaging. Despite recent studies suggesting that NODDI modeling might be more sensitive to brain development than diffusion tensor imaging, these studies were limited to a relatively small age range and mainly based on the manually operated region of interest analysis. Therefore, this study applied NODDI to investigate brain development in a large sample size of 214 subjects ranging in ages from 0 to 14. The (...) whole brain was automatically segmented into 122 regions. The maturation trajectory of each region was characterized by the time course of diffusion metrics and further quantified using nonlinear regression. The NODDI-derived metrics, neurite density index and orientation dispersion index, increased with age. And these two metrics were superior to the DTI-derived metrics in SVM regression models of age. The NDI in white matter exhibited a more rapid growth than that in gray matter. These diffusion indicators experienced conspicuous increases during early childhood and the growth speed slowed down in adolescence. Region-specific maturation patterns were described throughout the brain, including white matter, cortical and deep gray matter. These development patterns were evaluated and discussed on the basis of NODDI’s model assumptions. To summarize, this study verified the high sensitivity of NODDI to age over a crucial developmental period from newborn to adolescence. Moreover, the existing knowledge of brain development has been complemented, suggesting that NODDI has a potential capability in the investigation of brain development. (shrink)

本书共分三篇,即:现时代与马克思主义哲学的反思;马克思主义认识论探要;全球化、全球问题及社会发展理论研究.

Shang juan. di 1 bu Li yu wu, di 2 bu Di guo yu guo jia -- Xia juan. di 1 bu Gong li yu fan gong li, di 2 bu Ke xue hua yu gong tong ti.

本书从传统人伦关系的视角,探讨传统中国的民间秩序,以社会心理学的观点进行现代诠释,揭示传统民间社会诸多隐而不显的人伦现状,真实地展现传统人伦关系的本来面目。.

本书是对后现代主义文化思潮研究的文集,文章内容涉及对后现代主义哲学景观、后现代主义文化美学、后现代主义文艺形态的讨论。.

本书涉及的理论领域很宽,有对技术本性和发展规律的哲学思考,有对国外技术哲学流派和我国传统技术哲学观念的分析,也有对技术与社会关系中许多现实问题的讨论。.

该书分为五编,反映了作者的文化观,以及对学术界相关研究动态的把握;展示了对西方文化源头和本质的理解;分析了中国社会与基督教的关系等内容。.

本书介绍的内容包括:全球化与后现代性、后现代思潮与全球化生态、后现代性与全球文化、全球化时代的后现代主义。.

本书系作者一系列关于后现代理论衰落后新出现的批评流派的论文集。其内容和体例分为五编。第一编的两章分别对九十年代以来国际学术界关于后现代主义问题的讨论作出总结性的评述;第二编“后殖民主义”应当说是本书的 重点,在首先对后殖民理论的源起以及后殖民地文学的概况作一“鸟瞰式”的评价。.

本书系统介绍了我国从杂乱的「群婚」到「一夫一妻」的演化过程.以我国古代的「六礼」为序,介绍了送礼求婚的礼俗,同时还介绍了九个民族结婚仪式的全过程.

本书包括:尼采体验的永恒回归、基督教道德与愤恨、尼采对意志的拒拆、查拉图斯特拉的戏剧、游牧思想、尼采的形而上学等内容。.

本书介绍了资政百代,垂范万里的管理智慧;儒家文化视野下的中国当代管理等两个部分组成。.

本书收录作者研究中国古近代军事思想、毛泽东军事思想、邓小平新时期军队建设思想,及现代战役理论中重要问题的24篇相关文章。.