Article
Materials Science, Multidisciplinary
Seo Young Ahn, Yanbo Wang, Bozo Vazic, Robert Wheeler, Pania Newell
Summary: Micropores play critical roles in materials, and their morphology significantly affects mechanical properties. In this study, micro-architected porous samples were created using nanolithography, and the impact of pore morphology was investigated through in situ micropillar compression tests. The results showed that porosity is the primary factor influencing the mechanical response, with pore geometry also having a significant impact on certain parameters. The study highlights the potential for tailoring porous materials to achieve desired mechanical properties based on specific engineering applications.
Article
Materials Science, Multidisciplinary
Huan-Huan Xu, Qiong Wu, Ming Yue, Cheng-Lin Li, Hong-Jian Li
Summary: Cobalt nanowires with different shapes and sizes were successfully synthesized using a solvothermal process. The size and shape of the nanowires were controlled by varying the amount of capping agent. However, the magnetic properties of the nanowires were not solely determined by their aspect ratio, but also by the tip shape and microstructure. Micromagnetic simulations showed that the magnetic properties were barely affected by aspect ratios larger than 10.
Article
Chemistry, Multidisciplinary
Chen Zhuang, Muyuan Chai, Yuhui Zhang, Xuetao Shi
Summary: The influence of nine organic solvents on the crystal morphology of calcium minodronate (Ca(Min)(2)) was investigated. Hirshfeld analysis and the modified attachment energy (AE) model were used to study the intermolecular interactions and construct the Ca(Min)(2)-organic-water model. The results showed that different organic-water solvents had different adsorption conditions and the crystal morphology had a linear relationship with the volume of organic solvent.
Article
Cardiac & Cardiovascular Systems
Jia Wei, Huiying Hu, Xin He, Haihua Bao
Summary: This study compared the differences in vertebrobasilar geometry among residents of a plateau region at different altitudes and investigated the relationship between vascular geometry and altitude. The results showed that as altitude increased, the tortuosity of the basilar artery and the sagittal angle of the vertebrobasilar arterial system also increased.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2023)
Review
Ecology
Alexey Ryabov, Onur Kerimoglu, Elena Litchman, Irina Olenina, Leonilde Roselli, Alberto Basset, Elena Stanca, Bernd Blasius
Summary: Size and shape have a profound impact on the ecophysiological performance and evolutionary fitness of organisms, with a strong relationship to taxonomic richness, especially in microbes. Research shows that cells of intermediate volume exhibit the greatest shape variation and are closely linked to taxonomic diversity.
Article
Mathematics, Applied
Dong Wang
Summary: In this paper, a new algorithm for computing Dirichlet k-partitions for arbitrary domains is proposed. The algorithm is simple, efficient, and insensitive to initial guesses, achieving hundreds of times acceleration compared to previous methods.
SIAM JOURNAL ON SCIENTIFIC COMPUTING
(2022)
Article
Nanoscience & Nanotechnology
Chandrakalavathi Thota, Maddaka Reddeppa, Kedhareswara Sairam Pasupuleti, Dong-Jin Nam, Na-Hyun Bak, Young Heon Kim, Song-Gang Kim, Moon-Deock Kim
Summary: Materials with tailored nanorod morphology of InGaN in various unusual shapes, such as bud, mace, and feather shapes, showed enhanced gas-sensing abilities, especially the feather-shaped morphology which exhibited the best performance with 72.64% response to 100 ppm NO2 gas. Furthermore, photon-assisted sensing extended the detection limit to 200 ppb, and feather-shaped InGaN NRs demonstrated higher selectivity to NO2 gas compared to other target gases. This study successfully demonstrated the growth mechanisms of different morphologies and their enhanced NO2 gas responses, providing a promising morphology engineering strategy for III-nitrides in gas-sensing applications.
ACS APPLIED NANO MATERIALS
(2021)
Article
Physiology
Mauricio A. Sarabia-Vallejos, Pedro Ayala-Jeria, Daniel E. Hurtado
Summary: This study utilized micro-CT imaging and computational geometry algorithms to investigate the regional distribution of key morphological parameters in rat lungs, demonstrating a uniform distribution of alveolar structure in normal lungs which is not affected by gravitational effects. The proposed dehydration protocol effectively preserved alveolar morphology.
FRONTIERS IN PHYSIOLOGY
(2021)
Editorial Material
Biochemistry & Molecular Biology
Sushila Ganguli, Helen K. Matthews
Summary: The study shows that oncogene activation can alter tissue mechanics, affecting cell division in surrounding normal cells and contributing to tumor formation.
Article
Statistics & Probability
Ruiyi Zhang, R. Todd Ogden, Martin Picard, Anuj Srivastava
Summary: This study investigates the impact of acute exercise on mitochondrial morphology in muscle tissue. Results indicate that the elastic scaled metric is more sensitive to subtle changes in mitochondrial shapes caused by acute exercise, as it shows statistical significance on the exercise factor after eliminating the significant cell effect using a compression method.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS
(2022)
Article
Metallurgy & Metallurgical Engineering
Fan Zi-dong, Xie He-ping, Ren Li, Zhang Ru, He Rui, Li Cun-bao, Zhang Ze-tian, Wang Jun, Xie Jing
Summary: Shear-sliding mode (mode II) fracture of rocks is an important failure form in deep underground engineering. This study conducted direct shear tests on a typical shale to investigate the anisotropic shear fracture behaviors under high normal stress conditions. The results show significant 3D anisotropy in mode II fracture toughness (K-IIc), while the anisotropy in the critical mode II energy release rate (G(IIc)) is not as significant. Additionally, the anisotropy in the prepeak input energy is consistent with that in G(IIc), which is a new finding.
JOURNAL OF CENTRAL SOUTH UNIVERSITY
(2022)
Article
Mathematics
Giovanni Brigati, Ivailo Hartarsky
Summary: This article analyzes a class of convex functionals and investigates whether they satisfy the normal contraction property. The conclusion is that normal contraction holds only when the functionals are symmetric. Additionally, it is proven that it is sufficient to establish the normal contraction property for a simple two-parameter family of functions.
POTENTIAL ANALYSIS
(2022)
Article
Mathematics, Applied
Ali H. Alkhaldi, Meraj Ali Khan, Shyamal Kumar Hui, Pradip Mandal
Summary: The objective of this paper is to study the inequality for Ricci curvature of a semi-slant warped product submanifold and discuss the equality case. Physical applications of these inequalities are provided, and the relationship between the base manifold and a sphere with constant sectional curvature is also discussed.
Editorial Material
Zoology
Gregory H. Adler, Selina Brace, Maarten J. M. Christenhusz, Jacob W. Dittel, James P. Hansford
Summary: Recent technological advances have empowered mammalogists with powerful tools to tackle longstanding questions in mammalian biology. By combining multiple techniques, a more comprehensive and reliable understanding can be achieved. This issue presents 14 novel papers showcasing new integrative approaches in taxonomy and systematics, ecomorphology, and biomechanics.
ZOOLOGICAL JOURNAL OF THE LINNEAN SOCIETY
(2022)
Article
Biochemical Research Methods
Casper van Bavel, Wim Thiels, Rob Jelier
Summary: The shape of a cell is important for understanding various cellular processes, but current cell shape descriptors only capture simple geometric features. This study proposes a new framework called FlowShape, which represents cell shape by measuring curvature and mapping it onto a sphere. The framework allows for various shape analyses, including alignment and statistical comparison.
Article
Anthropology
Arianna R. Harrington, Christopher W. Kuzawa, Doug M. Boyer
AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
(2019)
Article
Multidisciplinary Sciences
Gabriel S. Yapuncich, Addison D. Kemp, Darbi M. Griffith, Justin T. Gladman, Erin Ehmke, Doug M. Boyer
Article
Multidisciplinary Sciences
Gabriel S. Yapuncich, Henry J. Feng, Rachel H. Dunn, Erik R. Seiffert, Doug M. Boyer
SCIENTIFIC REPORTS
(2019)
Article
Oncology
Danielle D. Elliott Range, David Dov, Shahar Z. Kovalsky, Ricardo Henao, Lawrence Carin, Jonathan Cohen
CANCER CYTOPATHOLOGY
(2020)
Article
Anthropology
Judit Marigo, Raef Minwer-Barakat, Salvador Moya-Sola, Doug M. Boyer
JOURNAL OF HUMAN EVOLUTION
(2020)
Letter
Anthropology
Doug M. Boyer, Lori M. Jahnke, Connie J. Mulligan, Trudy Turner
AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY
(2020)
Article
Computer Science, Software Engineering
Xingyi Du, Noam Aigerman, Qingnan Zhou, Shahar Z. Kovalsky, Yajie Yan, Danny M. Kaufman, Tao Ju
ACM TRANSACTIONS ON GRAPHICS
(2020)
Article
Computer Science, Artificial Intelligence
David Dov, Shahar Z. Kovalsky, Serge Assaad, Jonathan Cohen, Danielle Elliott Range, Avani A. Pendse, Ricardo Henao, Lawrence Carin
Summary: This study addresses the challenges of cytopathology slides by considering multiple types of labels and proposing a two-stage deep-learning algorithm. The algorithm improves thyroid malignancy prediction and training effectiveness, achieving competitive performance compared to other methods.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Computer Science, Software Engineering
Xingyi Du, Danny M. Kaufman, Qingnan Zhou, Shahar Z. Kovalsky, Yajie Yan, Noam Aigerman, Tao Ju
Summary: Existing algorithms for obtaining injective parameterizations of triangulated meshes are limited by either requiring initialization from an injective starting state or only preventing triangle inversion, which is insufficient to ensure injectivity. The presented algorithm introduces a new energy, smooth excess area (SEA), to measure non-injectivity in a map and successfully recovers globally injective maps for a high percentage of benchmarks. The analysis shows that maps minimizing SEA are guaranteed to be locally injective and almost globally injective, making it a promising method for injective mapping.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Medical Laboratory Technology
David Dov, Shahar Z. Kovalsky, Qizhang Feng, Serge Assaad, Jonathan Cohen, Jonathan Bell, Ricardo Henao, Lawrence Carin, Danielle Elliott Range
Summary: This study developed a machine learning algorithm to identify regions of interest (ROIs) on thyroid fine-needle aspiration biopsy whole slide images (WSIs), aiming to reduce the workload of cytopathologists.
ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE
(2022)
Article
Multidisciplinary Sciences
Yuheng Cai, Xuying Zhang, Shahar Z. Kovalsky, H. Troy Ghashghaei, Alon Greenbaum
Summary: The study utilized a RetinaNet model to classify genetically labeled neurons and glia in the brains of MADM mice and proposed a workflow for automated cell counting. By introducing a second RetinaNet model, significant improvements in automated cell counting of glial clusters were achieved.
Article
Ecology
Ethan L. Fulwood, Shan Shan, Julia M. Winchester, Henry Kirveslahti, Robert Ravier, Shahar Kovalsky, Ingrid Daubechies, Doug M. Boyer
Summary: This study investigates the adaptive radiation model of Malagasy lemurs using a combination of phylogenetic comparative methods and tooth shape quantification techniques, finding no early burst in evolution rates or partitioning of subclade disparity, but the highest rates of change in folivory adaptations during the Oligocene, possibly linked to forest expansion on the island.
BMC ECOLOGY AND EVOLUTION
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Nadav Dym, Shahar Ziv Kovalsky
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)
(2019)
