مطالب

Previous research has identified correlations between individual differences, such as age, and perceptual processes. However, the specific roles of these factors in face and house detection and the categorization of ambiguous stimuli remain inadequately understood. To address this issue, we employed a face/house categorization task to investigate how participants of different ages perceive human agents versus non-natural objects amidst varying levels of visual noise (40%, 50%, 60%, and 70%). Our results revealed that older participants exhibit longer reaction times (RT) in face detection under low-noise, ambiguous conditions (40% noise)—pointing toward a selective effect of age on face processing rather than on other object categories, such as houses.

The aim of this research was to compare the effectiveness of an aerobic exercise program, a mindfulness training program, and a integration of aerobic exercise and mindfulness training on the academic performance of fourth-grade female students. The research method was quasi-experimental with a pre-test and post-test design including a control group. The statistical population consisted of all fourth-grade female students from public elementary schools in Amol city during the academic year 2020-2021, from which 90 students were selected through convenience sampling and assigned to four groups: aerobic exercise program, mindfulness training, integration of aerobic exercise and mindfulness, and a control group (each experimental group consisting of 23 participants and the control group consisting of 21 participants). Subsequently, 18 sessions of 30-minute training were designed and conducted every other day. To collect data in the pre-test and post-test, the Academic Performance Questionnaire by Fam and Taylor (EPT) was used. The data were analyzed using multivariate analysis of covariance and SPSS22 software. The results indicated a significant difference in the academic performance of participants in all three groups: aerobic exercise program (Eta=0.59), mindfulness training (Eta=0.49), and the integration of aerobic exercise and mindfulness (Eta=0.56) compared to the control group (P≤0.05). However, participants in the integration group of aerobic exercise and mindfulness performed better than the other two training groups. These results suggest that integrating mindfulness training and aerobic exercise can be an effective strategy for improving the academic performance of fourth-grade female students.

Since comics comprise images and texts, the relations between them should be a major concern of comics studies. However, few studies have focused on the intersemiotic interaction between images and texts in the meaning construction of Chinese classic comics. This study applies Martinec and Salway’s system to Tsai Chih-Chung's English comic version of The Analects of Confucius (The Analects), attempting to explore the image-text relations in Chinese classic comics. It is found that the image-text relations in Tsai Chih-Chung's English comic version of The Analects can be summarized as unequal-status and logico-semantics combined. Quantitative analysis shows that the images are always subordinate to the texts, and in terms of logico-semantic relations, all of subsystems but “image more general” are included. Besides, the distribution of the logico-semantic relations of image and text indicates that two different subsystems, namely expansion and projection, integrate and work together to create meanings in this version. Qualitative analysis shows that the tactful deployment of the combinations of image-text relation in The Analects makes it visually-verbally coherent. The intersemiotic interaction between images and texts also contributes a lot to the discourse meaning construction of Tsai Chih-Chung's English comic version. However, in The Analects, the image-text relation relies too much on the extension of the image by the text as well as the projection of locution. This study provides a case reference for the analysis of Chinese classic comic as multimodal discourse, and also contributes to promoting the overseas dissemination of traditional Chinese culture.

Recent advancements in neurophysiological recording technologies have led to significant complexities in managing large-scale neural data, creating potential bottlenecks in the storage, sharing, and processing within the neuroscience community. To address these challenges, we developed the Big Neuronal Data Framework (BNDF), a distributed high-performance computing (HPC) solution. BNDF leverages open-source big data frameworks, Hadoop and Spark, to offer a flexible and scalable architecture. We tested BNDF on three large-scale electrophysiological datasets from nonhuman primate brains, demonstrating improved runtimes and scalability due to its distributed design. In comparative analyses against MATLAB, a widely used platform, BNDF showcased over five times faster performance in spike sorting, a common task in neuroscience. This significant speed advantage highlights BNDF’s potential to enhance the efficiency of neural data processing and analysis, making it a valuable tool for researchers navigating the complexities of modern neural datasets. Overall, BNDF represents a promising approach to streamline the handling of extensive neural data in the field of neuroscience.

Online review sites and social media platforms have become crucial sources of information for consumers, greatly influencing their purchasing behavior and decision-making, especially in the food and beverage industry. However, not many studies have been carried out to understand how social media influences customers’ purchase intentions at fast-food restaurants. This paper examines the growing influence of social media attributes on purchase intentions, with a focus on the Malaysian context. Previous studies highlight the increasing importance of social media platforms as marketing tools and their impact on customers’ purchase intentions. The research explores the relationship between habit and informativeness and their influence on purchase intentions among young adults in fast-food restaurants. A purposive sampling method was utilized to gather data from 142 fast-food customers through a cross-sectional online survey. The research hypotheses were analyzed using the partial least square structural equation modeling. Key findings found that habit and informativeness have a significant positive impact on customers’ intentions to purchase at fast-food restaurants. The study contributes to the existing literature by highlighting the growing influence of social media on consumer behavior in the context of fast-food restaurants. It adds to our understanding of how social media platforms serve as effective marketing tools, particularly among young adults, and how they can influence purchase intentions. By understanding the interplay of habit, informativeness, and purchase intentions, businesses can develop more effective marketing strategies and foster stronger relationships with their customers.