Article
Business
Gudrun Roose, Iris Vermeir
Summary: This study aims to investigate the effects of spatial product presentation cues on consumer decision-making and provides a taxonomy, review, research agenda, and key takeaways for practitioners. The importance of this study lies in guiding practitioners and researchers to understand the impact of spatial product presentation cues on consumer decisions.
JOURNAL OF BUSINESS RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Vania Velda, Steve Andreas Immanuel, Willy Fitra Hendria, Cheol Jeong
Summary: This paper aims to improve the distinctiveness of video captions by incorporating video retrieval into the training process. The video retrieval calculates similarity scores between the generated text and videos, which are then incorporated into the training loss of video captioning to constrain the distinctiveness. Additionally, reference scores are used to scale the training loss, indicating the desired level of distinctiveness. Experimental results demonstrate that this method improves sentence distinctiveness while increasing accuracy.
IMAGE AND VISION COMPUTING
(2023)
Article
Computer Science, Information Systems
Lei Wang, Xiaoguang Yuan, Ming Zong, Yujun Ma, Wanting Ji, Mingzhe Liu, Ruili Wang
Summary: This paper introduces a Multi-cue based Four-stream 3D ResNets (MF3D) model for action recognition, which outperforms current existing models on Kinetics and Kinetics-Sounds datasets according to experiments.
INFORMATION SCIENCES
(2021)
Article
Behavioral Sciences
Candela Zorzo, Jorge L. Arias, Marta Mendez
Summary: Memory retrieval in rats trained in the Morris Water Maze was examined under different cue conditions, showing successful retrieval under full and partial cues, but impaired retrieval with extra cues. Brain oxidative metabolism assessment revealed that rats failing to retrieve spatial information in the extra cues condition exhibited lower CCO activity in several limbic regions compared to controls.
BEHAVIOURAL BRAIN RESEARCH
(2021)
Article
Computer Science, Information Systems
P. Shamna, V. K. Govindan, K. A. Abdul Nazeer
Summary: This paper proposes an unsupervised Content-Based Medical Image Retrieval (CBMIR) framework based on the spatial matching of visual words. The proposed method efficiently computes the spatial similarity of visual words using a novel similarity measure called the Skip Similarity Index. Experiments on three large medical datasets reveal promising results, showing that the location-based correlation of visual words assists in more accurate and efficient retrieval of anatomically diverse and multimodal medical images compared to state-of-the-art CBMIR systems.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Optics
Zhijie Tan, Hong Yu, Ruiguo Zhu, Ronghua Lu, Shensheng Han, Chaofan Xue, Shumin Yang, Yanqing Wu
Summary: The study introduces an X-ray single-exposure Fourier-transform ghost imaging (SFGI) approach, which can achieve Fourier information retrieval of unknown samples and has successfully demonstrated diffraction patterns in the experiment.
Article
Environmental Sciences
Heming Bai, Yuli Shi, Myeongsu Seong, Wenkang Gao, Yuanhui Li
Summary: This study compares the performance of three PM2.5 estimation models at different spatial resolutions in the Yangtze River Delta region. The results show that the model performance is not sensitive to spatial resolution change, except for the Random Forest model which performs better at finer resolutions. Additionally, the study finds that the estimated PM2.5 concentration and attributable mortality strongly depend on spatial resolution, with higher values at coarser resolutions.
Article
Psychology, Experimental
Jakub Dotlacil
Summary: This paper presents a novel psycholinguistic parser that combines cue-based memory systems theory with transition-based parsing to model reading and predict online behavioral measures. The parser's modeling capacities are tested against experimental and corpus reading data, showing promising results.
Article
Linguistics
Himanshu Yadav, Garrett Smith, Sebastian Reich, Shravan Vasishth
Summary: This article investigates the cognitive constraints that determine number agreement computation in sentence comprehension. The traditional theoretical proposals fail to account for the full spectrum of number agreement patterns observed in published studies. By implementing seven computational models using 17 benchmark datasets from four languages, the research finds that a hybrid model achieves the best fit in terms of number agreement.
JOURNAL OF MEMORY AND LANGUAGE
(2023)
Article
Psychology, Multidisciplinary
Anais Servais, Christophe Hurter, Emmanuel J. Barbeau
Summary: Gaze direction is a powerful social cue that can be used to decode others' mental states. Research shows that when people are immersed in memories, they exhibit gaze aversion behavior, particularly an upward gaze. Gaze direction can be used to infer internal and external attention, and different gaze directions are associated with different internal mental states and memory states.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Acoustics
Sania Gul, Muhammad Salman Khan, Syed Waqar Shah
Summary: The paper introduces a blind source separation framework that integrates deep learning source separation network with probabilistic spatial machine learning expectation maximization algorithm for separating speech in reverberant conditions. The proposed model outperforms existing source separation algorithms in terms of signal to distortion ratio and short time speech intelligibility, showing the effectiveness of the integrated approach.
Article
Linguistics
Nazik Dinctopal Deniz
Summary: This study investigated how second language speakers and native speakers use syntactic and semantic cues in processing complex sentences. The results showed that native speakers tended to rely more on syntactic cues, while second language speakers used semantic cues in both initial and later decisions.
BILINGUALISM-LANGUAGE AND COGNITION
(2022)
Article
Cell Biology
Sebnem N. Tuncdemir, Andres D. Grosmark, Gergely F. Turi, Amei Shank, John C. Bowler, Gokhan Ordek, Attila Losonczy, Rene Hen, Clay O. Lacefield
Summary: During exploration, the hippocampus plays a crucial role in encoding landmarks and the animal's movement. This study focuses on the dentate gyrus (DG) of the hippocampal circuit and examines how DG neurons encode self-motion and sensory cue information during cognitive map formation. The results show the presence of cue cells in DG granule cells, which exhibit stable and stimulus-specific responses to sensory cues. This suggests that the DG supports parallel channels of spatial and non-spatial information that contribute to spatial navigation and episodic memory.
Article
Computer Science, Information Systems
Hao Zhou, Wengang Zhou, Yun Zhou, Houqiang Li
Summary: The research proposes a spatial-temporal multi-cue (STMC) network for video-based sign language understanding, with a spatial multi-cue (SMC) module and a temporal multi-cue (TMC) module. A joint optimization strategy and segmented attention mechanism are designed to make the best of multi-cue sources for sign language recognition and translation, achieving new state-of-the-art performance on three sign language benchmarks.
IEEE TRANSACTIONS ON MULTIMEDIA
(2022)
Article
Multidisciplinary Sciences
Andrew J. Kelly, Abigail A. Camden, Melany C. Williams, Michael J. Beran, Bonnie M. Perdue
Summary: Habitual prospective memory refers to individuals' ability to remember to perform future tasks on a regular basis. This study explored preschool children's ability to complete such tasks and found that with experience and practice, children can quickly learn to successfully perform future intentions that are repeated multiple times.