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Journal articles on the topic 'Dynamic Cell Clustering (DCC)'

Author: Grafiati
Published: 2 November 2024
Last updated: 31 July 2025

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1

Wang, Zheng, Lara M. Linden, Kaleb M. Naegeli, et al. "UNC-6 (netrin) stabilizes oscillatory clustering of the UNC-40 (DCC) receptor to orient polarity." Journal of Cell Biology 206, no. 5 (2014): 619–33. http://dx.doi.org/10.1083/jcb.201405026.

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The receptor deleted in colorectal cancer (DCC) directs dynamic polarizing activities in animals toward its extracellular ligand netrin. How DCC polarizes toward netrin is poorly understood. By performing live-cell imaging of the DCC orthologue UNC-40 during anchor cell invasion in Caenorhabditis elegans, we have found that UNC-40 clusters, recruits F-actin effectors, and generates F-actin in the absence of UNC-6 (netrin). Time-lapse analyses revealed that UNC-40 clusters assemble, disassemble, and reform at periodic intervals in different regions of the cell membrane. This oscillatory behavio
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2

Alammari, Amr A., Mohd Sharique, Athar Ali Moinuddin, and Mohammad Samar Ansari. "Local-Partial Signal Combining Schemes for Cell-Free Large-Scale MU-MIMO Systems with Limited Fronthaul Capacity and Spatial Correlation Channels." Electronics 11, no. 17 (2022): 2757. http://dx.doi.org/10.3390/electronics11172757.

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Cell-free large-scale multi-user MIMO is a promising technology for the 5G-and-beyond mobile communication networks. Scalable signal processing is the key challenge in achieving the benefits of cell-free systems. This study examines a distributed approach for cell-free deployment with user-centric configuration and finite fronthaul capacity. Moreover, the impact of scaling the pilot length, the number of access points (APs), and the number of antennas per AP on the achievable average spectral efficiency are investigated. Using the dynamic cooperative clustering (DCC) technique and large-scale
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Peters, Georg, and Richard Weber. "DCC: a framework for dynamic granular clustering." Granular Computing 1, no. 1 (2016): 1–11. http://dx.doi.org/10.1007/s41066-015-0012-z.

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4

Umar, Saminu, and Gafar M. Oyeyemi. "A Hybrid LSTM-DCC Model for Multivariate Cryptocurrency Volatility Prediction." Asian Journal of Probability and Statistics 27, no. 7 (2025): 179–91. https://doi.org/10.9734/ajpas/2025/v27i7784.

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Accurate volatility forecasting remains a central challenge in the analysis of cryptocurrency markets, where extreme price fluctuations, nonlinear dependencies and evolving cross-asset correlations complicate traditional modeling approaches. This study proposes a hybrid framework that integrates the Dynamic Conditional Correlation (DCC) Multivariate Generalized Autoregressive Conditional Heteroskedasticity (MGARCH) model with Long Short-Term Memory (LSTM) networks to enhance forecasting accuracy. The LSTM–DCC model improves the representation of volatility clustering, structural breaks and int
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Haoxuan, Fu. "Study on the Dynamic Correlation between Chinese and American Financial Markets." INTERNATIONAL JOURNAL OF SOCIAL SCIENCE, INNOVATION AND EDUCATIONAL TECHNOLOGIES (ONLINE) - ISSN: 2717-7130 1, no. 3 (2020): 337–41. https://doi.org/10.5281/zenodo.3972443.

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With the deepening of the economic globalization and finance liberalization, the financial links between open economies are becoming closer and closer, and the interconnectivity between international financial markets is gradually increasing. With the support of DCC-GARCH model, the paper conducts an empirical study towards the dynamic correlation between American and Chinese stock markets. The result indicates that the logarithmic return series of Shanghai Composite index and S&P 500 index both show apparent volatility clustering and constancy. The correlation between them shows significa
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Haoxuan, Fu. "Study on the Dynamic Correlation between Chinese and American Financial Markets." INTERNATIONAL JOURNAL OF SOCIAL SCIENCE, INNOVATION AND EDUCATIONAL TECHNOLOGIES (ONLINE) - ISSN: 2717-7130 1, no. 3 (2020): 337–41. https://doi.org/10.5281/zenodo.3977135.

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With the deepening of the economic globalization and finance liberalization, the financial links between open economies are becoming closer and closer, and the interconnectivity between international financial markets is gradually increasing. With the support of DCC-GARCH model, the paper conducts an empirical study towards the dynamic correlation between American and Chinese stock markets. The result indicates that the logarithmic return series of Shanghai Composite index and S&P 500 index both show apparent volatility clustering and constancy. The correlation between them shows significa
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7

FOWLER, ANNA, VILAS MENON, and NICHOLAS A. HEARD. "DYNAMIC BAYESIAN CLUSTERING." Journal of Bioinformatics and Computational Biology 11, no. 05 (2013): 1342001. http://dx.doi.org/10.1142/s0219720013420018.

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Clusters of time series data may change location and memberships over time; in gene expression data, this occurs as groups of genes or samples respond differently to stimuli or experimental conditions at different times. In order to uncover this underlying temporal structure, we consider dynamic clusters with time-dependent parameters which split and merge over time, enabling cluster memberships to change. These interesting time-dependent structures are useful in understanding the development of organisms or complex organs, and could not be identified using traditional clustering methods. In c
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8

Şeker, Kudbeddin, and Ahmet Gökçe Akpolat. "Dynamic Stochastic Volatility Spillover Between Bitcoin and Precious Metals." Uluslararası Ekonomi İşletme ve Politika Dergisi 9, no. 1 (2025): 53–72. https://doi.org/10.29216/ueip.1596577.

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Since its creation in 2008, Bitcoin has often been compared to precious metals due to their shared characteristics as safe havens, hedges, and risk diversification tools. This study uses the DCC-GARCH model to analyze dynamic conditional correlations and volatility spillovers between Bitcoin and the returns of gold, copper, silver, and platinum. The findings reveal persistent volatility and clustering in the returns of both Bitcoin and these metals. There is a one-way volatility spillover from gold to Bitcoin, and from Bitcoin to copper, silver, and platinum. Significant dynamic conditional co
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Dai, Yun, and Hao Liu. "Application of the R-Tree Clustering Model in Medical Information Retrieval." Mobile Information Systems 2022 (August 11, 2022): 1–9. http://dx.doi.org/10.1155/2022/2887395.

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Hospitals produce a large amount of medical information every day. In the face of medical big data, the existing data processing methods cannot meet expectations and need to be continuously optimized. In the database system, when the stored objects are very large, and then the efficiency of data retrieval is a major bottleneck, therefore restricting the application of medical information. For that reason and to improve the efficiency of information retrieval, it is necessary to add an index to the information object and filter the dataset participating in the connection retrieval through the i
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10

Stavoe, Andrea K. H., and Daniel A. Colón-Ramos. "Netrin instructs synaptic vesicle clustering through Rac GTPase, MIG-10, and the actin cytoskeleton." Journal of Cell Biology 197, no. 1 (2012): 75–88. http://dx.doi.org/10.1083/jcb.201110127.

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Netrin is a chemotrophic factor known to regulate a number of neurodevelopmental processes, including cell migration, axon guidance, and synaptogenesis. Although the role of Netrin in synaptogenesis is conserved throughout evolution, the mechanisms by which it instructs synapse assembly are not understood. Here we identify a mechanism by which the Netrin receptor UNC-40/DCC instructs synaptic vesicle clustering in vivo. UNC-40 localized to presynaptic regions in response to Netrin. We show that UNC-40 interacted with CED-5/DOCK180 and instructed CED-5 presynaptic localization. CED-5 in turn si
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11

Kaneko, Kunihiko, and Tetsuya Yomo. "Cell division, differentiation and dynamic clustering." Physica D: Nonlinear Phenomena 75, no. 1-3 (1994): 89–102. http://dx.doi.org/10.1016/0167-2789(94)90277-1.

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12

Yan, Kejia, Huqin Yan, and Rakesh Gupta. "Are GARCH and DCC Values of 10 Cryptocurrencies Affected by COVID-19?" Journal of Risk and Financial Management 15, no. 3 (2022): 113. http://dx.doi.org/10.3390/jrfm15030113.

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This paper examines the dynamic conditional correlations among 10 cryptocurrencies and the possibility of hedging investment strategies among multiple cryptocurrencies over the period affected by COVID-19 from 2017 to 2022. After studying the relationship between Bitcoin, Ethereum, and the other eight cryptocurrencies, four main results were obtained in this paper: first, from the pre-COVID-19 period to the COVID-19 period, almost all of the cryptocurrencies’ return growth rates increased, and COVID-19 had a positive effect on the returns of cryptocurrencies. Second, all of the cryptocurrencie
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13

Ahmad, Burhan, Ole Gjølberg, and Mubashir Mehdi. "Spatial Differences in Rice Price Volatility: A Case Study of Pakistan 1994–2011." Pakistan Development Review 56, no. 3 (2017): 265–89. http://dx.doi.org/10.30541/v56i3pp.265-289.

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Prices of agricultural commodities tend to be more volatile in comparison to other commodities. Volatility can result in inefficient allocation of the resources by the farmers, traders and consumers. Rice is the second major staple and export item of Pakistan. This study presents the trends in volatility of regional rice markets of Pakistan and analyses spatial differences in volatility across regional rice markets in Pakistan from 1994 to 2011, and also draws comparison of volatility with the international market. ARCH-LM tests are applied to check the presence of volatility and volatility cl
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14

Raya, Elia, Huiqin Koerkel-Qu, Laura Rudhart, et al. "Abstract 3788: EpCAM+ DCCs isolated from the bone marrow of breast cancer patients display high stemness and potency scores." Cancer Research 84, no. 6_Supplement (2024): 3788. http://dx.doi.org/10.1158/1538-7445.am2024-3788.

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Abstract Metastatic dissemination of cancer cells from primary to distant sites often occurs early and it has been shown that their detection is linked to poor outcomes. Eradication of disseminated cancer cells (DCC) has therefore become the primary goal of adjuvant therapies. Since the phenotype of DCC is largely unknown, we set out to search, isolate, and molecularly characterize these candidate metastasis founder cells from bone marrow of breast cancer patients, years before manifestation of metastasis. We screened more than 200 bone marrow samples of breast cancer patients with no evident
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15

DeGeer, Jonathan, Andrew Kaplan, Pierre Mattar, et al. "Hsc70 chaperone activity underlies Trio GEF function in axon growth and guidance induced by netrin-1." Journal of Cell Biology 210, no. 5 (2015): 817–32. http://dx.doi.org/10.1083/jcb.201505084.

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During development, netrin-1 is both an attractive and repulsive axon guidance cue and mediates its attractive function through the receptor Deleted in Colorectal Cancer (DCC). The activation of Rho guanosine triphosphatases within the extending growth cone facilitates the dynamic reorganization of the cytoskeleton required to drive axon extension. The Rac1 guanine nucleotide exchange factor (GEF) Trio is essential for netrin-1–induced axon outgrowth and guidance. Here, we identify the molecular chaperone heat shock cognate protein 70 (Hsc70) as a novel Trio regulator. Hsc70 dynamically associ
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16

Maruta, Kazuki. "Dynamic Clustering and Coordinated User Scheduling for Cooperative Interference Cancellation on Ultra-High Density Distributed Antenna Systems." Entropy 20, no. 8 (2018): 616. http://dx.doi.org/10.3390/e20080616.

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This paper proposes dynamic clustering and user scheduling for previously conceived inter-cluster interference cancellation scheme on ultra-high density distributed antenna system (UHD-DAS). UHD-DAS is composed of one central unit (CU) and densely deployed remote radio units (RUs) serving as small cell access points. It can enhance spatial spectral efficiency by alleviating traffic load imposed per radio unit; however, intenser small cell deployment revives the inter-cell interference (ICI) problem. Cell clustering, cooperation of multiple RUs, can mitigate ICI partially, whereas inter-cluster
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17

Pateromichelakis, Emmanouil, Mehrdad Shariat, Attaul Quddus, Mehrdad Dianati, and Rahim Tafazolli. "Dynamic Clustering Framework for Multi-Cell Scheduling in Dense Small Cell Networks." IEEE Communications Letters 17, no. 9 (2013): 1802–5. http://dx.doi.org/10.1109/lcomm.2013.072313.131248.

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18

ŞAHİN, Cumhur. "EXAMINATION OF VOLATILITY STRUCTURE BETWEEN TURKISH STOCK MARKET AND COMMODITY MARKETS: A PERSPECTIVE FOR THE PERIOD OF 2015-2019." Business & Management Studies: An International Journal 8, no. 1 (2020): 351–70. http://dx.doi.org/10.15295/bmij.v8i1.1418.

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Commodity markets, both in the past and in modern times, have had an extraordinary economic impact on individuals and societies. Although it is not known exactly when and where commodity markets started, it is thought that it started about 6000 years ago with rice trade in China. Commodities, as raw material providers used in production, have an intensive usage area. This study aims to examine the global commodity prices such as gold ounce price, silver ounce price, copper price, Brent crude oil price, and natural gas prices, and the volatility structure in the Borsa Istanbul 100 index, repres
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19

Morgunova, Alice, Irina Pokhvisneva, Saara Nolvi, et al. "DCC gene network in the prefrontal cortex is associated with total brain volume in childhood." Journal of Psychiatry & Neuroscience 46, no. 1 (2020): E154—E163. http://dx.doi.org/10.1503/jpn.200081.

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Background: Genetic variation in the guidance cue DCC gene is linked to psychopathologies involving dysfunction in the prefrontal cortex. We created an expression-based polygenic risk score (ePRS) based on the DCC coexpression gene network in the prefrontal cortex, hypothesizing that it would be associated with individual differences in total brain volume. Methods: We filtered single nucleotide polymorphisms (SNPs) from genes coexpressed with DCC in the prefrontal cortex obtained from an adult postmortem donors database (BrainEAC) for genes enriched in children 1.5 to 11 years old (BrainSpan).
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20

Nelissen, Judith M. D. T., Inge M. Peters, Bart G. de Grooth, Yvette van Kooyk, and Carl G. Figdor. "Dynamic Regulation of Activated Leukocyte Cell Adhesion Molecule–mediated Homotypic Cell Adhesion through the Actin Cytoskeleton." Molecular Biology of the Cell 11, no. 6 (2000): 2057–68. http://dx.doi.org/10.1091/mbc.11.6.2057.

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Restricted expression of activated leukocyte cell adhesion molecule (ALCAM) by hematopoietic cells suggests an important role in the immune system and hematopoiesis. To get insight into the mechanisms that control ALCAM-mediated adhesion we have investigated homotypic ALCAM–ALCAM interactions. Here, we demonstrate that the cytoskeleton regulates ALCAM-mediated cell adhesion because inhibition of actin polymerization by cytochalasin D (CytD) strongly induces homotypic ALCAM–ALCAM interactions. This induction of cell adhesion is likely due to clustering of ALCAM at the cell surface, which is obs
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21

Wilhelmsson, Pär, Edward Sjödin, André Wästlund, Jörgen Wallerman, Tomas Lämås, and Karin Öhman. "Dynamic treatment units in forest planning using cell proximity." Canadian Journal of Forest Research 51, no. 7 (2021): 1065–71. http://dx.doi.org/10.1139/cjfr-2020-0210.

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In forest management planning, the dynamic treatment unit (DTU) approach has become an increasingly relevant alternative to the traditional planning approach using fixed stands, due to improved remote sensing techniques and optimization procedures, with the potential for the higher goal fulfillment of forest activities. For the DTU approach, the traditional concept of fixed stands is disregarded, and forest data are kept in units with a high spatial resolution. Forest operations are planned by clustering cells to form treatment units for harvest operations. This paper presents a new model with
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Shi, Jianfeng, Ming Chen, Wence Zhang, Zhaohui Yang, and Hao Xu. "Dynamic AP Clustering and Precoding for User-Centric Virtual Cell Networks." IEEE Transactions on Communications 67, no. 3 (2019): 2504–16. http://dx.doi.org/10.1109/tcomm.2018.2883290.

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Samarakoon, Sumudu, Mehdi Bennis, Walid Saad, and Matti Latva-aho. "Dynamic Clustering and on/off Strategies for Wireless Small Cell Networks." IEEE Transactions on Wireless Communications 15, no. 3 (2016): 2164–78. http://dx.doi.org/10.1109/twc.2015.2499182.

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Sun, Yubo, Weihua Gui, Xiaofang Chen, Yongfang Xie, Shiwen Xie, and Zhong Zou. "A dynamic spatial distributed information clustering method for aluminum electrolysis cell." Engineering Applications of Artificial Intelligence 126 (November 2023): 106793. http://dx.doi.org/10.1016/j.engappai.2023.106793.

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25

Yang, Faguo, and Tianzi Jiang. "Cell Image Segmentation with Kernel-Based Dynamic Clustering and an Ellipsoidal Cell Shape Model." Journal of Biomedical Informatics 34, no. 2 (2001): 67–73. http://dx.doi.org/10.1006/jbin.2001.1009.

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26

Yogaswara, Y., T. T. Dimiyati, and R. R. Asri. "Grouping Maching using Genetic Algorithm for Dynamic Cell Layout Design." Journal of Modern Manufacturing Systems and Technology 6, no. 1 (2022): 1–8. http://dx.doi.org/10.15282/jmmst.v6i1.6893.

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Changes in the manufacturing sector due to changes in shorter product life cycles, market demands and also use of the latest technology in the company, this will result in changes in process flow and also change the layout in the production section, causing dynamic layout problems. Dynamic layout problems can be solved by using a manufacturing cell formation method which has a high degree of flexibility. In this study, algorithms used for grouping machines into manufacturing cells are Direct Clustering Algorithm and Rank Order Clustering. Then it will be improved by using Genetic Algorithm. Th
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Guo, Ling Li, Mu Shu Wang, and Ye Wang. "Cell Mapping Modeling for Complex Systems Based on ISODATA Algorithm." Applied Mechanics and Materials 873 (November 2017): 332–36. http://dx.doi.org/10.4028/www.scientific.net/amm.873.332.

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This paper presents a new type of modeling framework for complex dynamical systems based on cell mapping. The systems considered are difficult in modeling by physical principle due to complex mechanism. By the method of data driven, the cell mapping model is constructed and the modeling objective is describing statistical dynamic trajectory for this kind of complex system, which overcome the difficulties found in mechanism modeling. Firstly, the clustering of operation modes is achieved by Self-Organizing Data Analysis Techniques Algorithm (ISODATA). Then, a cell division measure is obtained b
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Song, Min, Xiaohua Hu, Illhoi Yoo, and Eric Koppel. "A Dynamic and Semantically-Aware Technique for Document Clustering in Biomedical Literature." International Journal of Data Warehousing and Mining 5, no. 4 (2009): 44–57. http://dx.doi.org/10.4018/jdwm.2009080703.

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As an unsupervised learning process, document clustering has been used to improve information retrieval performance by grouping similar documents and to help text mining approaches by providing a high-quality input for them. In this article, the authors propose a novel hybrid clustering technique that incorporates semantic smoothing of document models into a neural network framework. Recently, it has been reported that the semantic smoothing model enhances the retrieval quality in Information Retrieval (IR). Inspired by that, the authors developed and applied a context-sensitive semantic smoot
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29

Wu, Xiwei, and T. Gregory Dewey. "Cluster Analysis of Dynamic Parameters of Gene Expression." Journal of Bioinformatics and Computational Biology 01, no. 03 (2003): 447–58. http://dx.doi.org/10.1142/s0219720003000307.

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Cluster analysis has proven to be a valuable statistical method for analyzing whole genome expression data. Although clustering methods have great utility, they do represent a lower level statistical analysis that is not directly tied to a specific model. To extend such methods and to allow for more sophisticated lines of inference, we use cluster analysis in conjunction with a specific model of gene expression dynamics. This model provides phenomenological dynamic parameters on both linear and non-linear responses of the system. This analysis determines the parameters of two different transit
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Hong, Hanchi, Xiangxin Chen, Luigi d’Apolito, Yangqi Ye, and Shuiwen Shen. "A Two-Stage Multi-Parameter-Based Sorting Method for Ensuring Consistency Between Parallel-Connected Lithium-Ion Batteries." World Electric Vehicle Journal 16, no. 3 (2025): 125. https://doi.org/10.3390/wevj16030125.

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Lithium-ion power battery pack life, capacity and safety depend primarily on consistency between battery cells. However, inconsistencies between battery cells are inevitable due to the inherent variability in production processes and operational environments. In parallel circuits, battery management systems can usually only monitor the total module current and terminal voltage, which results in limitations that lead to inter-unit inconsistency, reducing overall safety and energy efficiency. The conventional method of battery sorting involves analyzing static parameters such as capacity, intern
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Wehrens, Martijn, Pieter Rein ten Wolde, and Andrew Mugler. "Positive feedback can lead to dynamic nanometer-scale clustering on cell membranes." Journal of Chemical Physics 141, no. 20 (2014): 205102. http://dx.doi.org/10.1063/1.4901888.

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32

Zhang, Zhe, Ning Wang, Jiankang Zhang, and Xiaomin Mu. "Dynamic User-Centric Clustering for Uplink Cooperation in Multi-Cell Wireless Networks." IEEE Access 6 (2018): 8526–38. http://dx.doi.org/10.1109/access.2018.2792222.

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Prikhodko, Ivan V., and Georgy Th Guria. "Dynamic Effects in Nucleation of Receptor Clusters." Entropy 23, no. 10 (2021): 1245. http://dx.doi.org/10.3390/e23101245.

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Nucleation theory has been widely applied for the interpretation of critical phenomena in nonequilibrium systems. Ligand-induced receptor clustering is a critical step of cellular activation. Receptor clusters on the cell surface are treated from the nucleation theory point of view. The authors propose that the redistribution of energy over the degrees of freedom is crucial for forming each new bond in the growing cluster. The expression for a kinetic barrier for new bond formation in a cluster was obtained. The shape of critical receptor clusters seems to be very important for the clustering
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Qian, Panpan, Huan Zhao, Yanmin Zhu, and Qiang Sun. "A Semidynamic Bidirectional Clustering Algorithm for Downlink Cell-Free Massive Distributed Antenna System." Wireless Communications and Mobile Computing 2021 (January 21, 2021): 1–11. http://dx.doi.org/10.1155/2021/6618126.

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Cell-free massive distributed antenna system (CF-MDAS) can further reduce the access distance between mobile stations (MSs) and remote access points (RAPs), which brings a lower propagation loss and higher multiplexing gain. However, the interference caused by the overlapping coverage areas of distributed RAPs will severely degrade the system performance in terms of the sum-rate. Since that clustering RAPs can mitigate the interference, in this paper, we investigate a novel clustering algorithm for a downlink CF-MDAS with the limited-capacity backhaul. To reduce the backhaul burden and mitigat
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Li, John Xiao He, Vivian W. Tang, Kingsley A. Boateng, and William M. Brieher. "Cadherin puncta are interdigitated dynamic actin protrusions necessary for stable cadherin adhesion." Proceedings of the National Academy of Sciences 118, no. 24 (2021): e2023510118. http://dx.doi.org/10.1073/pnas.2023510118.

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Cadherins harness the actin cytoskeleton to build cohesive sheets of cells using paradoxically weak bonds, but the molecular mechanisms are poorly understood. In one popular model, actin organizes cadherins into large, micrometer-sized clusters known as puncta. Myosin is thought to pull on these puncta to generate strong adhesion. Here, however, we show that cadherin puncta are actually interdigitated actin microspikes generated by actin polymerization mediated by three factors (Arp2/3, EVL, and CRMP-1). The convoluted membranes in these regions give the impression of cadherin clustering by fl
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Saltel, Frédéric, Eva Mortier, Vesa P. Hytönen та ін. "New PI(4,5)P2- and membrane proximal integrin–binding motifs in the talin head control β3-integrin clustering". Journal of Cell Biology 187, № 5 (2009): 715–31. http://dx.doi.org/10.1083/jcb.200908134.

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Integrin-dependent adhesion sites consist of clustered integrins that transmit mechanical forces and provide signaling required for cell survival and morphogenesis. Despite their importance, the regulation of integrin clustering by the cytoplasmic adapter protein talin (Tal) and phosphatidylinositol (PI)-4,5-biphosphate (PI(4,5)P2) lipids nor their dynamic coupling to the actin cytoskeleton is fully understood. By using a Tal-dependent integrin clustering assay in intact cells, we identified a PI(4,5)P2-binding basic ridge spanning across the F2 and F3 domains of the Tal head that regulates in
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Burgermeister, Simon, Michail Orfanakis, Spiros Georgakis, et al. "Unsupervised Clustering of Cell Populations in Germinal Centers Using Multiplexed Immunofluorescence." Biology 14, no. 5 (2025): 530. https://doi.org/10.3390/biology14050530.

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Follicles (Fs)/Germinal Centers (GCs) in tonsils and lymph nodes are dynamic microenvironments where diverse immune cell populations interact for the development of antibody responses against pathogens. The accurate in situ phenotypic analysis of these immune cells is a prerequisite for the comphehensive understanding of GC development. In this study, we explore unsupervised clustering approaches for distinguishing cell populations within F/GCs using marker expression data. We evaluate multiple clustering algorithms and find that k-means clustering provides the most effective separation of dis
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Cluzel, Caroline, Frédéric Saltel, Jost Lussi, Frédérique Paulhe, Beat A. Imhof та Bernhard Wehrle-Haller. "The mechanisms and dynamics of αvβ3 integrin clustering in living cells". Journal of Cell Biology 171, № 2 (2005): 383–92. http://dx.doi.org/10.1083/jcb.200503017.

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During cell migration, the physical link between the extracellular substrate and the actin cytoskeleton mediated by receptors of the integrin family is constantly modified. We analyzed the mechanisms that regulate the clustering and incorporation of activated αvβ3 integrins into focal adhesions. Manganese (Mn2+) or mutational activation of integrins induced the formation of de novo F-actin–independent integrin clusters. These clusters recruited talin, but not other focal adhesion adapters, and overexpression of the integrin-binding head domain of talin increased clustering. Integrin clustering
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Kaneko, Kunihiko. "Chaos as a Source of Complexity and Diversity in Evolution." Artificial Life 1, no. 1_2 (1993): 163–77. http://dx.doi.org/10.1162/artl.1993.1.1_2.163.

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The relevance of chaos to evolution is discussed in the context of the origin and maintenance of diversity and complexity. Evolution to the edge of chaos is demonstrated in an imitation game. As an origin of diversity, dynamic clustering of identical chaotic elements, globally coupled each to the other, is briefly reviewed. The clustering is extended to nonlinear dynamics on hypercubic lattices, which enables us to construct a self-organizing genetic algorithm. A mechanism of maintenance of diversity, “homeochaos,” is given in an ecological system with interaction among many species. Homeochao
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MURAPE, Chricencia Makanyara, and Raphael Tabani MPOFU. "STRATEGIC ADAPTATIONS AND VOLATILITY DYNAMICS: MODELING LISTED PRIVATE EQUITY IN SOUTH AFRICA." PRIZREN SOCIAL SCIENCE JOURNAL 9, no. 1 (2025): 34–50. https://doi.org/10.32936/pssj.v9i1.603.

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This paper uses advanced econometric methods to explore the statistical properties, volatility dynamics, and macroeconomic determinants of Listed Private Equity (LPE) investments in South Africa from 2010 to 2023. The key objectives include testing for non-normality in LPE returns and assessing volatility clustering. By employing GARCH-family models, the study effectively captures asymmetric and long-memory effects in LPE returns. A VAR model combined with Impulse Response Functions quantifies the impact of macroeconomic shocks, revealing that inflation imposes a significant and sustained adve
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Gerard, Audrey, Khan Omar, and Matthew Krummel. "Visualizing the requirement for homotypic T cell synapses in enhancing CD8+ T cell differentiation. (63.11)." Journal of Immunology 186, no. 1_Supplement (2011): 63.11. http://dx.doi.org/10.4049/jimmunol.186.supp.63.11.

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Abstract CD8+ T cells are functionally heterogeneous and mediate their effects through a variety of mechanisms. Effective adaptive immunity relies on the capacity of lymphocytes to differentiate and yet, as a cohort to respond as a single integrated entity. But the mechanism by which the “coordinated diversification” of CD8+ T cells is regulated is not fully understood. Here, we show that homotypic clustering of nascent effector cells facilitates and coordinates their differentiation. The dynamic nature of T cell clustering upon immunization was characterized by live 2-photon imaging of explan
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Ashraf, Muhammad Ikram, Mehdi Bennis, Walid Saad, Marcos Katz, and Choong-Seon Hong. "Dynamic Clustering and User Association in Wireless Small-Cell Networks With Social Considerations." IEEE Transactions on Vehicular Technology 66, no. 7 (2017): 6553–68. http://dx.doi.org/10.1109/tvt.2016.2644760.

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43

Claus, Rainer, Philipp Sander, Dietmar Pfeifer, Lioudmila Bogatyreva, Emmanuel Bissé, and Michael Lübbert. "Induction of an Erythroid but Not Megakaryocytic Expression Signature in Myeloid Cells By in Vitro 5-Aza-2'-Deoxycytidine Treatment." Blood 126, no. 23 (2015): 4538. http://dx.doi.org/10.1182/blood.v126.23.4538.4538.

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Abstract Introduction: Aberrant DNA methylation is frequently found in hematologic malignancies where it is associated with altered gene expression. DNA hypomethylating agents (DNMTi), e.g. 5-aza-2'-deoxycytidine (DAC), are used for both global and gene-specific in vivo demethylation and offer a therapeutic option in myelodysplastic syndromes (MDS) and AML. DNMTi have already been utilized to upregulate suppressed fetal hemoglobin (HbF) in adult patients (pts) suffering from hemoglobinopathies. Here we systematically investigated the potential of DAC for in vitro induction of erythroid differe
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Zhou, Hu, Alban Morel, Yuanjiao Li, and Janine Mauzeroll. "Clustering Electrochemical Traces: Focusing on Shape and Magnitude of Potentiodynamic Polarization Curves Using Dynamic Time Warping and Hierarchical Clustering." ECS Meeting Abstracts MA2025-01, no. 20 (2025): 1365. https://doi.org/10.1149/ma2025-01201365mtgabs.

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The rise in automation of measurements, affordable high precision positioners, high precision potentiostats and ever-increasing data storage capacity translates into the democratization of high throughput electrochemical techniques to study materials or molecules [1-3]. These new possibilities are however accompanied by new challenges. The quantity of data generated becomes quickly overwhelming and intractable rendering it difficult for scientists to confidently extract every available insight. For example, when Scanning Electrochemical Cell Microscopy is applied to the study of corrosion at t
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da Rocha-Azevedo, Bruno, Chin-Han Ho, and Frederick Grinnell. "PDGF‑stimulated dispersal of cell clusters and disruption of fibronectin matrix on three-dimensional collagen matrices requires matrix metalloproteinase-2." Molecular Biology of the Cell 26, no. 6 (2015): 1098–105. http://dx.doi.org/10.1091/mbc.e14-09-1396.

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Formation of cell clusters is a common morphogenic cell behavior observed during tissue and organ development and homeostasis, as well as during pathological disorders. Dynamic regulation of cell clustering depends on the balance between contraction of cells into clusters and migration of cells as dispersed individuals. Previously we reported that under procontractile culture conditions, fibronectin fibrillar matrix assembly by human fibroblasts functioned as a nucleation center for cell clustering on three-dimensional collagen matrices. Here we report that switching preformed cell clusters fr
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Dr. Anum Shafique, Dr. Saiqa Saddiqa Qureshi, Muhammad Arsalan Butt, and Raja Hifsa Hussain. "Assessing conditional volatility among REITS and Stock returns; Evidence from Pakistan." Journal of Political Stability Archive 3, no. 1 (2025): 1–13. https://doi.org/10.63468/jpsa.3.1.01.

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This study investigates the conditional volatility and dynamic correlations between Real Estate Investment Trusts (REITs) and stock returns in Pakistan using daily data. Given the growing significance of REITs as an asset class, understanding their volatility in relation to stock market movements is crucial for investors and policymakers. Employing the Dynamic Conditional Correlation Generalized Autoregressive Conditional Heteroscedasticity (DCC-GARCH) model, the research examines time-varying correlations between REITs and stock returns, which are influenced by market fluctuations, economic s
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Ghosh, Debapriya, Madeline Nieves-Cintrón, Sendoa Tajada, et al. "Dynamic L-type CaV1.2 channel trafficking facilitates CaV1.2 clustering and cooperative gating." Biochimica et Biophysica Acta (BBA) - Molecular Cell Research 1865, no. 9 (2018): 1341–55. http://dx.doi.org/10.1016/j.bbamcr.2018.06.013.

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Leong, Shwee Khuan, Jye-Chian Hsiao, and Jiun-Jie Shie. "A Multiscale Molecular Dynamic Analysis Reveals the Effect of Sialylation on EGFR Clustering in a CRISPR/Cas9-Derived Model." International Journal of Molecular Sciences 23, no. 15 (2022): 8754. http://dx.doi.org/10.3390/ijms23158754.

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Bacterial and viral pathogens can modulate the glycosylation of key host proteins to facilitate pathogenesis by using various glycosidases, particularly sialidases. Epidermal growth factor receptor (EGFR) signaling is activated by ligand-induced receptor dimerization and oligomerization. Ligand binding induces conformational changes in EGFR, leading to clusters and aggregation. However, information on the relevance of EGFR clustering in the pattern of glycosylation during bacterial and viral invasion remains unclear. In this study, (1) we established CRISPR/Cas9-mediated GFP knock-in (EGFP-KI)
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Chang, Lynne, Yaron Shav-Tal, Tatjana Trcek, Robert H. Singer, and Robert D. Goldman. "Assembling an intermediate filament network by dynamic cotranslation." Journal of Cell Biology 172, no. 5 (2006): 747–58. http://dx.doi.org/10.1083/jcb.200511033.

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We have been able to observe the dynamic interactions between a specific messenger RNA (mRNA) and its protein product in vivo by studying the synthesis and assembly of peripherin intermediate filaments (IFs). The results show that peripherin mRNA-containing particles (messenger ribonucleoproteins [mRNPs]) move mainly along microtubules (MT). These mRNPs are translationally silent, initiating translation when they cease moving. Many peripherin mRNPs contain multiple mRNAs, possibly amplifying the total amount of protein synthesized within these “translation factories.” This mRNA clustering is d
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Mukai, Atsushi, Tomohiro Kurisaki, Satoshi B. Sato, Toshihide Kobayashi, Gen Kondoh, and Naohiro Hashimoto. "Dynamic clustering and dispersion of lipid rafts contribute to fusion competence of myogenic cells." Experimental Cell Research 315, no. 17 (2009): 3052–63. http://dx.doi.org/10.1016/j.yexcr.2009.07.010.

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