Article
Multidisciplinary Sciences
Daniel Schmidt, Felipe P. Carpes, Thomas L. Milani, Andresa M. C. Germano
Summary: Different visual manipulation approaches did not affect balance control in young and older adults. Quasi-static and dynamic balance control did not differ between the two age groups. Further research should explore how critical illumination levels may trigger different postural responses between young and older adults.
Article
Engineering, Chemical
Silvia Tappi, Virginia Glicerina, Luigi Ragni, Amanda Dettori, Santina Romani, Pietro Rocculi
Summary: The study aimed to investigate the physical and structural properties of honey during static and dynamic induced crystallization. Results showed that dynamic process significantly reduced crystallization time and resulted in honey products with lower hardness and viscosity. Despite starting from different values, dynamic process led to final crystallized honeys with very similar color and structural characteristics.
JOURNAL OF FOOD ENGINEERING
(2021)
Article
Neurosciences
Sophia Robert, Leslie G. Ungerleider, Maryam Vaziri-Pashkam
Summary: Humans can accurately and quickly classify objects in visual scenes using static images, but motion can also be used as a cue for object classification. In this study, we used a novel stimulus set of object kinematograms to isolate motion-defined signals and investigate how they are processed by the brain. Our results show that motion cues can elicit robust category responses in various brain regions, even in regions traditionally associated with static image processing.
JOURNAL OF NEUROSCIENCE
(2023)
Article
Engineering, Electrical & Electronic
Jiaming He, Mingrui Li, Yangyang Wang, Hongyu Wang
Summary: This article proposes an online visual SLAM system for dynamic environments without predefined dynamic labels. The system distinguishes foreground and background and recognizes dynamic regions using semantic information, depth information, and optical flow. Experimental results demonstrate that the system achieves more accurate and robust localization compared to other state-of-the-art dynamic SLAM methods.
IEEE SENSORS JOURNAL
(2023)
Article
Biology
Hexi Wang, Ning Xiao, Jina Zhang, Wanting Yang, Yulan Ma, Yao Suo, Juanjuan Zhao, Yan Qiang, Jianhong Lian, Qianqian Yang
Summary: In this paper, a new method called SDC-Transformer is proposed for longitudinal tumor growth prediction. The method extracts static features of tumors at different periods and explores the dynamic growth relationships and trends between different periods. The Local Adaptive Transformer Module and Dynamic Growth Estimation Module are introduced to enhance the model's perception of detailed growth information and predict the tumor's future growth trend. The experimental results demonstrate that the proposed method can accurately predict the longitudinal development of tumors and help physicians establish treatment plans and diagnose lung cancer accurately.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Multidisciplinary Sciences
Andrey Anikin, Katarzyna Pisanski, David Reby
Summary: When producing intimidating aggressive vocalizations, extending the vocal tract can lower voice resonance frequencies to sound big. Static formant scaling conveys smaller size and greater aggression, while dynamic scaling conveys larger size and more aggression. Familiar listeners are less affected by formant manipulations, focusing more on aggressive intent.
ROYAL SOCIETY OPEN SCIENCE
(2022)
Article
Engineering, Civil
Yongliang Zhang, Yifei Li, Huailing Gao, Tianzhi Luo, Shitang Cui
Summary: This study presents gradient lattice structures (GLS) by incorporating a size-graded design strategy, and investigates their mechanical properties, failure modes, and energy absorption. It is found that the stretching-dominated GLS exhibits higher load-carrying capacity and energy absorption efficiency, indicating potential applications in energy absorption using lattice structures.
THIN-WALLED STRUCTURES
(2023)
Article
Engineering, Multidisciplinary
Huifeng Hu, Tiantang Yu, Le Van Lich, Tinh Quoc Bui
Summary: An effective computational approach is developed in this study to handle the complexities in geometries, material properties, and size effects for the design and optimization of device components in micro-and nano-electromechanical systems. By integrating the modified couple stress theory into isogeometric analysis framework, the method accurately describes and examines nontrivial features in both material and geometrical properties of laminated curved microbeams, including static bending, natural frequency, and transient response.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2021)
Article
Chemistry, Multidisciplinary
Alexandru Baltag, Sonja Smets
Summary: Summary: This paper provides an overview of quantum dynamic logics, illustrating their design and application in verifying the correctness of quantum protocols. It covers qualitative logics for single quantum systems, logics for compound quantum systems, and the logic of quantum probabilities, giving a comprehensive introduction.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Artificial Intelligence
Teng Wang, Lin Wu, Changyin Sun
Summary: In dynamic-to-static image translation, a coarse-to-fine framework is proposed to fill missing static pixels in dynamic regions while retaining original static areas. By using a texture-structure attention module, the quality of static content restoration is enhanced.
PATTERN RECOGNITION
(2022)
Article
Materials Science, Multidisciplinary
S. K. Singh, A. Banerjee, R. K. Varma, S. Adhikari, S. Das
Summary: This paper presents an analytical study on computing natural frequencies and in-plane deflections caused by static forces in panel walls using various theories. The study emphasizes the unique features of the Micropolar-Cosserat theory and its comparison with finite element analysis for simulating panel behavior.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2022)
Article
Computer Science, Interdisciplinary Applications
Paolo Venini, Marco Pingaro
Summary: This paper proposes an innovative topology optimization approach that can handle both static and dynamic cases, as well as multiple objectives and loads. The key idea is the input-to-output transfer matrix, which is decomposed using singular value decomposition to determine the mapping between inputs and outputs. The paper provides detailed numerical examples and highlights ongoing investigations for further research.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Review
Green & Sustainable Science & Technology
Xingjiang Liu, Chao Shen, Julian Wang, Chunxiao Zhang, Yong Shuai
Summary: Buildings consume 35% of global energy and emit 38% of global carbon emissions. Photovoltaic double skin facades have the potential to save energy in buildings. This review summarizes past studies on the design and operation of user-oriented photovoltaic double skin facades, focusing on both static and dynamic regulation for energy-saving performance and thermal/visual environment improvement.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Mechanics
Minjoo Lee, Gang-Kyu Park
Summary: This paper introduces the characteristics of high-performance fiber-reinforced cement composite (HPFRCC) and the concrete constitutive models used. Methods for calibrating these models are proposed and their reliability and mesh-size dependency are examined through laboratory tests. The performance differences between the two models are analyzed and numerical simulations are conducted to demonstrate their respective strengths.
COMPOSITE STRUCTURES
(2023)
Article
Computer Science, Hardware & Architecture
Huining Pei, Xueqin Huang, Man Ding
Summary: This paper discusses the influence of dynamic and static images on user perception in web interface visualizations of products. The results show that dynamic images have better visual cognitive effects and improved efficiency of visual search compared to static images. However, the emotional experience of viewing dynamic images is affected by presentation time. There are significant differences in cognitive level and emotional experience among users exposed to dynamic images with different presentation times.
Article
Psychology
Geoffrey P. Bingham, Winona Snapp-Childs, Aaron J. Fath, Jing S. Pan, Rachel O. Coats
JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE
(2014)
Article
Multidisciplinary Sciences
Rachel O. Coats, Andrew D. Wilson, Winona Snapp-Childs, Aaron J. Fath, Geoffrey P. Bingham
Article
Multidisciplinary Sciences
Winona Snapp-Childs, Ian Flatters, Aaron Fath, Mark Mon-Williams, Geoffrey P. Bingham
Article
Neurosciences
Aaron J. Fath, Brian S. Marks, Winona Snapp-Childs, Geoffrey P. Bingham
EXPERIMENTAL BRAIN RESEARCH
(2014)
Meeting Abstract
Hospitality, Leisure, Sport & Tourism
Aaron J. Fath, Winona Snapp-Childs, Carol Watson, Geoffrey P. Bingham
JOURNAL OF SPORT & EXERCISE PSYCHOLOGY
(2014)