A critical transition state in liquid metals

2007 ◽  
Vol 61 (11-12) ◽  
pp. 2434-2438 ◽  
Author(s):  
Yuqin Wu ◽  
Xiufang Bian ◽  
Qingge Meng ◽  
Yan Zhao ◽  
Tan Mao ◽  
...  
Keyword(s):  
Transition State ◽  
Liquid Metals ◽  
Critical Transition

scholarly journals Defining and characterizing the critical transition state prior to the type 2 diabetes disease

PLoS ONE ◽  
2017 ◽  
Vol 12 (7) ◽  
pp. e0180937 ◽  
Author(s):  
Bo Jin ◽  
Rui Liu ◽  
Shiying Hao ◽  
Zhen Li ◽  
Chunqing Zhu ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Transition State ◽  
Critical Transition

scholarly journals Single-Cell Reprogramming in Mouse Embryo Development through a Critical Transition State

Entropy ◽  
2017 ◽  
Vol 19 (11) ◽  
pp. 584 ◽  
Author(s):  
Masa Tsuchiya ◽  
Alessandro Giuliani ◽  
Kenichi Yoshikawa
Keyword(s):  
Transition State ◽  
Single Cell ◽  
Embryo Development ◽  
Mouse Embryo ◽  
Cell Reprogramming ◽  
Critical Transition ◽  
Mouse Embryo Development

scholarly journals Single-Cell Reprogramming of Mouse Embryo Development Through a Critical Transition State

2017 ◽  
Author(s):  
Masa Tsuchiya ◽  
Alessandro Giuliani ◽  
Kenichi Yoshikawa
Keyword(s):  
Transition State ◽  
Single Cell ◽  
Critical State ◽  
Early Embryo ◽  
Self Organization ◽  
Cell Reprogramming ◽  
Critical Transition ◽  
Critical States ◽  
Oscillatory Dynamics ◽  
Soc Control

AbstractOur work dealing with the temporal development of the genome-expression profile in single-cell mouse early embryo indicated that reprogramming occurs via a critical transition state, where the critical-regulation pattern of the zygote state disappears. In this report, we unveil the detailed mechanism of how the dynamic interaction of thermodynamic states (critical states) enables the genome system to pass through the critical transition state to achieve genome reprogramming.Self-organized criticality (SOC) control of overall expression provides a snapshot of self-organization and explains the coexistence of critical states at a certain experimental time point. The time-development of self-organization is dynamically modulated by exchanges in expression flux between critical states through the cell nucleus milieu, where sequential global perturbations involving activation-inhibition of multiple critical states occur from the early state to the late 2-cell state. Two cyclic fluxes act as feedback flow and generate critical-state coherent oscillatory dynamics. Dynamic perturbation of these cyclic flows due to vivid activation of the ensemble of low-variance expression (sub-critical state) genes allows the genome system to overcome a transition state during reprogramming.Our findings imply that a universal mechanism of long-term global RNA oscillation underlies autonomous SOC control, and the critical gene ensemble at a critical point (CP) drives genome reprogramming. Unveiling the corresponding molecular players will be essential to understand single-cell reprogramming.

scholarly journals Genome-wide dynamic network analysis reveals a critical transition state of flower development in Arabidopsis

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Fuping Zhang ◽  
Xiaoping Liu ◽  
Aidi Zhang ◽  
Zhonglin Jiang ◽  
Luonan Chen ◽  
...  
Keyword(s):  
Network Analysis ◽  
Transition State ◽  
Flower Development ◽  
Dynamic Network ◽  
Critical Transition ◽  
Dynamic Network Analysis ◽  
Genome Wide

Rheology of the Critical Transition State of an Epoxy Vitrimer

2020 ◽  
Vol 53 (12) ◽  
pp. 4855-4862 ◽  
Author(s):  
Huagao Fang ◽  
Wujin Ye ◽  
Yunsheng Ding ◽  
H. Henning Winter
Keyword(s):  
Transition State ◽  
Critical Transition

scholarly journals Characterizing Critical Transition State for Network Fundamental Diagram

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Rongrong Hong ◽  
Chengchuan An ◽  
Zhenbo Lu ◽  
Jingxin Xia ◽  
Qinghui Nie ◽  
...  
Keyword(s):  
Transition State ◽  
Traffic Flow ◽  
Network Traffic ◽  
Field Data ◽  
Experimental Investigations ◽  
Flow State ◽  
Critical Transition ◽  
Fundamental Diagram ◽  
Clustering Model ◽  
Flow States

Macroscopic Fundamental Diagram (MFD) reveals the relationship between network accumulation and flow at the macroscopic level. The network traffic flow state analysis is a fundamental problem for the MFD-based applications. Theoretical and experimental investigations have provided insights into the dynamics and characters of traffic flow states. Although many empirical studies had been conducted in the field of MFD, few studies were dedicated to investigate the network traffic flow states with field data. This study aims to develop a data-driven method based on time series analysis of MFD state points to characterize critical transition state (CTS) of network traffic flow using field data. The proposed method was tested in a real network of Kunshan City, China. The test results showed that the CTS points can be well captured by the proposed method. The identified CTS points distinguished the traffic states between free-flow state and optimal accumulation state, and the optimal accumulation state was characterized. The day-to-day pattern of CTS points was investigated by the Gaussian Mixture Model-based clustering model. An extended application of real-time identification of CTS points was also discussed. The proposed method is helpful to understand the temporal evolution process of network traffic flow and provides potentials for developing more reliable network traffic flow management strategies, such as optimizing traffic signal plans and developing strategies for congestion tooling.

Memapsin 2, a drug target for Alzheimer's disease

2003 ◽  
Vol 70 ◽  
pp. 213-220 ◽  
Author(s):  
Gerald Koelsch ◽  
Robert T. Turner ◽  
Lin Hong ◽  
Arun K. Ghosh ◽  
Jordan Tang
Keyword(s):  
Crystal Structure ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Transition State ◽  
Amyloid Precursor Protein ◽  
Therapeutic Target ◽  
Drug Target ◽  
Aspartic Protease ◽  
Precursor Protein ◽  
Memapsin 2

Mempasin 2, a ϐ-secretase, is the membrane-anchored aspartic protease that initiates the cleavage of amyloid precursor protein leading to the production of ϐ-amyloid and the onset of Alzheimer's disease. Thus memapsin 2 is a major therapeutic target for the development of inhibitor drugs for the disease. Many biochemical tools, such as the specificity and crystal structure, have been established and have led to the design of potent and relatively small transition-state inhibitors. Although developing a clinically viable mempasin 2 inhibitor remains challenging, progress to date renders hope that memapsin 2 inhibitors may ultimately be useful for therapeutic reduction of ϐ-amyloid.

Collisional dynamics of Ca1D + HBr reactions: evidence for transition-state motions

1999 ◽  
Vol 97 (8) ◽  
pp. 967-976 ◽  
Author(s):  
M. Garay Salazar, J. M. Orea Rocha, A.
Keyword(s):  
Transition State ◽  
Collisional Dynamics
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