Article
Computer Science, Interdisciplinary Applications
Lee Lindblom, Oliver Rinne, Nicholas W. Taylor
Summary: In this study, a method for constructing differentiable three-dimensional manifolds on multicube structures is developed. The method involves the construction of a sequence of reference metrics that determine the differentiable structures on the cubic regions serving as non-overlapping coordinate charts. The method utilizes solutions to two- and three-dimensional biharmonic equations in order to increase the differentiability of the reference metrics at the interfaces between cubic regions.
JOURNAL OF COMPUTATIONAL PHYSICS
(2022)
Article
Engineering, Aerospace
Taiki Okino, Yoshiki Yamagiwa, Shoko Arita, Yoji Ishikawa, Kiyotoshi Otsuka
Summary: Traditional space elevators mainly use climber type, while a novel counterweight-type space elevator is proposed in the study, which connects the ground and the space station with two cables and transports payloads with less energy consumption.
Article
Multidisciplinary Sciences
Deepa Kamath Kasaragod, Hidenori Aizawa
Summary: We developed a wide-field fluorescent microscope using deep ultraviolet light for 3D imaging of the brain in mice. This novel microscope allowed fluorescence imaging with optical sectioning and enabled the quantification of cell numbers and density in different brain regions, providing a convenient tool for large-scale 3D analysis of the brain.
SCIENTIFIC REPORTS
(2023)
Article
Nanoscience & Nanotechnology
Claire Donnelly, Aurelio Hierro-Rodriguez, Claas Abert, Katharina Witte, Luka Skoric, Dedalo Sanz-Hernandez, Simone Finizio, Fanfan Meng, Stephen McVitie, Jorg Raabe, Dieter Suess, Russell Cowburn, Amalio Fernandez-Pacheco
Summary: The design of complex magnetic systems through nonlinear interactions or three-dimensional geometries can achieve new functionalities by controlling intrastructure properties and magnetostatic coupling of neighboring magnetic structures. This can lead to new physics and functionalities, such as three-dimensional chiral spin states and spin textures with new spin topologies.
NATURE NANOTECHNOLOGY
(2022)
Article
Geochemistry & Geophysics
Dongjie Hua, Qinghui Jiang
Summary: This paper introduces a method to extend the hysteresis model of rocks to three-dimensional case by introducing initial closed cracks and redefining the hysteretic behavior. The explicit expression of the strain tensor of a rock under triaxial loading/unloading is obtained through analysis.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2022)
Editorial Material
Biochemistry & Molecular Biology
David A. Leopold, Arash Afraz
Summary: The study indicates that visual area V4 plays a significant role in analyzing solid shape structure, highlighting the importance of incorporating local three-dimensional shape analysis into early cortical stages of visual processing.
Article
Nanoscience & Nanotechnology
Yue Gu, Chunfeng Wang, Namheon Kim, Jingxin Zhang, Tsui Min Wang, Jennifer Stowe, Rohollah Nasiri, Jinfeng Li, Daibo Zhang, Albert Yang, Leo Huan-Hsuan Hsu, Xiaochuan Dai, Jing Mu, Zheyuan Liu, Muyang Lin, Weixin Li, Chonghe Wang, Hua Gong, Yimu Chen, Yusheng Lei, Hongjie Hu, Yang Li, Lin Zhang, Zhenlong Huang, Xingcai Zhang, Samad Ahadian, Pooja Banik, Liangfang Zhang, Xiaocheng Jiang, Peter J. Burke, Ali Khademhosseini, Andrew D. McCulloch, Sheng Xu
Summary: The research introduces a scalable platform featuring a three-dimensional field-effect transistor array produced via compressive buckling, enabling accurate recording of transmembrane potentials and intracellular recordings in cells and cellular networks. The platform utilizes high-performance field-effect transistors for cellular interfacing, providing faithful recordings and valuable experimental data for probing the electrical behaviors of single cells and cellular networks. Leveraging the high spatial and temporal resolutions of the transistors, the study reveals new insights into signal conduction velocities and pathways within cells and cellular constructs.
NATURE NANOTECHNOLOGY
(2022)
Article
Physics, Applied
Jia Cao, Chunyao Lu, Qiujun Ma, Xiaopin Hu, Chenzhi You, Zheng Xu, Dawei Wu
Summary: This study presents a coding acoustic metasurface consisting of two types of hexagonal coding bits, enabling acoustic focusing, flexible focal length adjustment, and bifocal focusing. The findings have promising applications in biomedical therapy and imaging.
APPLIED PHYSICS EXPRESS
(2022)
Article
Chemistry, Multidisciplinary
Shiwei Liu, Qiaohua Wang, Chengkang Liu, Yanhua Sun, Lingsong He
Summary: A natural exponential and three-dimensional chaotic system with high sensitivity to initial system input conditions is proposed for time series prediction and image processing. The chaotic performance is evaluated and the complexity, robustness, and consistency are studied, expanding the potential scope of multi-dimensional chaotic systems.
Article
Engineering, Aerospace
Z. Akbari, M. Hosseinpour, M. A. Mohammadi
Summary: This paper investigates the effects of static electric and magnetic fields on separator reconnection and finds that protons and electrons can be accelerated to high kinetic energies in the solar corona. The variation of energy spectra for different strengths of electric field amplitude is also discussed.
ADVANCES IN SPACE RESEARCH
(2023)
Article
Computer Science, Information Systems
Haisheng Li, Guiqiong Li, Haiying Xia
Summary: This paper proposes a multi-level three-dimensional quantum wavelet transform theory for quantum video processing. The proposed wavelet transforms provide exponential speed-up over classical counterparts and demonstrate better compression performance for quantum videos.
FRONTIERS OF COMPUTER SCIENCE
(2023)
Article
Engineering, Electrical & Electronic
Boning Liu, Yan Zhao, Xiaomeng Jiang, Shigang Wang
Summary: In recent years, kernel methods have been extensively studied. This study introduces a 3-D Epanechnikov Mixture Regression (EMR) based on Epanechnikov Kernel (EK) for image coding. The research improves the EM algorithm with mean square error optimization and proposes an Adaptive Mode Selection (AMS) algorithm for optimal modeling in combination with Gaussian and Epanechnikov kernel.
Review
Cell Biology
Paolo Raffa, Maria Easler, Anna Urciuolo
Summary: Skeletal muscle is reliant on the clear three-dimensional organization of myofibers and communication between myofibers and the nervous system for development and function. Various pathologies affecting muscle function are linked to alterations in the interaction between motor neurons and myofibers. Recent research indicates that three-dimensionality and integration of multiple cell types are essential for unveiling pathophysiologically relevant phenotypes in skeletal muscle modeling.
NEURAL REGENERATION RESEARCH
(2022)
Article
Multidisciplinary Sciences
Hamidreza Abbaspourazad, Mahdi Choudhury, Yan T. Wong, Bijan Pesaran, Maryam M. Shanechi
Summary: The study reveals that multiple scales of principal modes exist in controlling movements, and a predictive mode is shared between scales, reflecting the neural control of naturalistic reach-and-grasp behaviors in macaques.
NATURE COMMUNICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Golnoosh Elhami, Adam Scholefield, Martin Vetterli
Summary: In this study, we investigate three-dimensional cubic barcodes composed of smaller cubes made from two different materials, carrying one bit of information each. By using X-ray to measure a 2D projection of the barcode, we are able to retrieve the stored information. We propose a method to estimate the unknown pose of the barcode from a single 2D scan and introduce coding schemes to correct errors and ambiguities in the reconstruction process.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2022)
Article
Neurosciences
Mari Sild, Marion R. Van Horn, Anne Schohl, Dantong Jia, Edward S. Ruthazer
JOURNAL OF NEUROSCIENCE
(2016)
Article
Neurosciences
Marion R. Van Horn, Arielle Strasser, Lois S. Miraucourt, Loredano Pollegioni, Edward S. Ruthazer
JOURNAL OF NEUROSCIENCE
(2017)
Article
Neurosciences
Kathleen E. Cullen, Marion R. Van Horn
EUROPEAN JOURNAL OF NEUROSCIENCE
(2011)
Article
Neurosciences
Marion R. Van Horn, Kathleen E. Cullen
JOURNAL OF NEUROPHYSIOLOGY
(2008)
Article
Neurosciences
Marion R. Van Horn, Pierre A. Sylvestre, Kathleen E. Cullen
JOURNAL OF NEUROPHYSIOLOGY
(2008)
Article
Neurosciences
Marion R. Van Horn, Kathleen E. Cullen
JOURNAL OF NEUROPHYSIOLOGY
(2009)
Editorial Material
Neurosciences
Marion R. Van Horn
JOURNAL OF NEUROSCIENCE
(2009)
Article
Neurosciences
Marion R. Van Horn, Diana E. Mitchell, Corentin Massot, Kathleen E. Cullen
JOURNAL OF NEUROSCIENCE
(2010)
Editorial Material
Neurosciences
Mari Sild, Marion R. Van Horn
JOURNAL OF NEUROSCIENCE
(2013)
Editorial Material
Neurosciences
Marion R. Van Horn, Edward S. Ruthazer
JOURNAL OF PHYSIOLOGY-LONDON
(2012)
Review
Neurosciences
Marion R. Van Horn, Mari Sild, Edward S. Ruthazer
FRONTIERS IN CELLULAR NEUROSCIENCE
(2013)
Article
Neurosciences
Marion R. Van Horn, Edward S. Ruthazer
CURRENT OPINION IN NEUROBIOLOGY
(2019)
Article
Neurosciences
Marion R. Van Horn, Nicholas J. Benfey, Colleen Shikany, Liza J. Severs, Tara Deemyad
Summary: Astrocytes play important roles in brain function, including modulating neuronal activity and contributing to brainwide neuronal oscillations. They respond to changes in brain state such as sleep, arousal, and stress. Astrocytes signal to neurons to drive changes in behavior and are also involved in respiratory rhythms in the medulla. Brain stem astrocytes may communicate the status of oxygenation to higher cortical areas to modulate brainwide oscillations.
JOURNAL OF NEUROPHYSIOLOGY
(2021)