A5100456838- Complex Systems and Time Series Analysis
- Evolutionary Game Theory and Cooperation
- Experimental Behavioral Economics Studies
- Theoretical and Computational Physics
- Nonlinear Dynamics and Pattern Formation
- Heart Rate Variability and Autonomic Control
- Radioactivity and Radon Measurements
- Radioactive element chemistry and processing
- Evolution and Genetic Dynamics
- Radioactive contamination and transfer
- Nuclear physics research studies
- Time Series Analysis and Forecasting
- Chaos control and synchronization
- RNA modifications and cancer
- Digital Marketing and Social Media
- Urban Transport and Accessibility
- Nuclear Physics and Applications
- Material Dynamics and Properties
- Atrial Fibrillation Management and Outcomes
- Tuberculosis Research and Epidemiology
- Functional Brain Connectivity Studies
- Covalent Organic Framework Applications
- Opinion Dynamics and Social Influence
- Image Processing Techniques and Applications
- Immune responses and vaccinations
Chinese PLA General Hospital
2024-2025
University of Science and Technology of China
2013-2024
Sun Yat-sen University
2022-2024
The First Affiliated Hospital, Sun Yat-sen University
2022-2024
Chinese Academy of Sciences
2024
Science Center of Iowa
2024
China Tobacco Guangxi Industrial (China)
2024
Shanghai Lixin University of Accounting and Finance
2022-2023
National University of Singapore
2023
Hubei Academy of Environmental Sciences
2022
Detrended fluctuation analysis (DFA) is a scaling method used to estimate long-range power-law correlation exponents in noisy signals. Many signals real systems display trends, so that the results obtained from DFA become difficult analyze. We systematically study effects of three types trends --- linear, periodic, and offer examples where these are likely occur data. compare difference between for artificially generated correlated noise with trend, how lead appearance crossovers behavior....
Detrended fluctuation analysis (DFA) is a scaling method used to quantify long-range power-law correlations in signals. Many physical and biological signals are ``noisy,'' heterogeneous, exhibit different types of nonstationarities, which can affect the correlation properties these We systematically study effects three nonstationarities often encountered real data. Specifically, we consider nonstationary sequences formed ways: (i) stitching together segments data obtained from discontinuous...
Cancer cells selectively promote the translation of oncogenic transcripts to stimulate cancer progression. Although growing evidence has revealed that tRNA modifications and related genes participate in this process, their roles head neck squamous cell carcinoma (HNSCC) remain largely uncharacterized. Here, we sought investigate function mechanisms transfer RNA (tRNA) N7-methylguanosine (m7 G) modification regulating occurrence development HNSCC.Cell lost-of-function gain-of-function assays,...
Four overlooked measurement pitfalls during CO<sub>2</sub> reduction reaction (CO<sub>2</sub>RR) in flow cells are identified. A modified flow-cell system has been proposed, permitting the establishment of benchmarks by which CO<sub>2</sub>RR products can be accurately assessed.
The World Health Organization (WHO) “Global Tuberculosis Report 2024” underscores the ongoing challenges and progress in global fight against tuberculosis (TB). Despite a slowdown annual increase TB cases decline TB-related deaths, disease remains significant public health threat with 10.8 million new reported 2023. report reveals persistently high burden of TB, especially low- middle-income countries, highlights escalating issue drug-resistant TB. also emphasizes critical need for increased...
Detrended fluctuation analysis (DFA) and detrended moving average (DMA) are two scaling methods designed to quantify correlations in noisy nonstationary signals. We systematically study the performance of different variants DMA method when applied artificially generated long-range power-law correlated signals with an a priori known exponent ${\ensuremath{\alpha}}_{0}$ compare them DFA method. find that results obtained from strongly depend on type filter. Further, we investigate optimal...
We investigate how various linear and nonlinear transformations affect the scaling properties of a signal, using detrended fluctuation analysis (DFA). Specifically, we study effect three types transforms: linear, polynomial logarithmic filters. compare signals before after transform. find that filters do not change correlation properties, while strongly depends on (a) strength correlations in original (b) power filter (c) offset filter. further analytic functions: exponential, logarithmic,...
Abstract An inter‐organizational team, which consists of diverse members from different organizations to conduct an initiative, has been widely treated as a critical method improve organizational innovation. This study proposes multilevel model test the relationship between shared leadership and creativity at both team‐ individual level in context teams. Multisource data were collected 53 We obtain following findings: first, is positively related team via knowledge sharing. Second, task...
Purpose This study aims to examine if the participation of live-stream influencers (LSIs) affects tipping frequency on live streaming platforms, and further investigate mediating moderating mechanisms. Design/methodology/approach Quasi-experiment difference-in-differences models are used for data analysis. Propensity score matching is address potential unobservable endogeneity. Findings Real-time reveal that LSIs’ significantly improves in rooms. Also, more users attracted rooms become...
Background CD276 (B7-H3), a pivotal immune checkpoint, facilitates tumorigenicity, invasiveness, and metastasis by escaping surveillance in variety of tumors; however, the underlying mechanisms facilitating escape esophageal squamous cell carcinoma (ESCC) remain enigmatic. Methods We investigated expression ESCC tissues from patients using immunohistochemistry (IHC) assays. In vivo, we established 4-nitroquinoline 1-oxide (4NQO)-induced knockout (CD276 wKO ) K14cre; conditional cKO mouse...
There exists a robust day/night pattern in the incidence of adverse cardiac events with peak at approximately 10 a.m. This traditionally has been attributed to patterns behaviors affecting function vulnerable individuals. However, influences from endogenous circadian pacemaker independent may also affect control. Heartbeat dynamics under healthy conditions exhibit complex fluctuations characterized by self-similar temporal structures, which break down pathologic conditions. We hypothesize...
PCIF1 can mediate the methylation of N6,2'-O-dimethyladenosine (m6Am) in mRNA. Yet, detailed interplay between and potential cofactors its pathological significance remain elusive. Here, we demonstrated that PCIF1-mediated cap mRNA m6Am modification promoted head neck squamous cell carcinoma progression both vitro vivo. CTBP2 was identified as a cofactor to catalyze deposition on CLIP-Seq data bound similar mRNAs compared with PCIF1. We then used m6Am-Seq method profile site at single-base...
This study explores mode-specific problems faced by movement-challenged persons (MCPs) in making trips different travel modes Dhaka, Bangladesh. 400 MCPs were asked to rank the extent of mobility challenges four on a scale one five through questionnaire survey. reported lack ramp and undulated surface are most severe related bus walking respectively while excessive fared charged drivers is found as problem for both rickshaw CNG. captures uneven effects endured gender, ages, aid users....
This study examines the roles of Cyclin B1 (CCNB1), Polo-Like Kinase 1 (PLK1), and Heparanase (HPSE) in breast cancer progression using a multi-omics approach. These genes are known for their involvement various cancer-related processes, but precise contributions to remain unclear. We employed an integrative analysis combining transcriptomics, proteomics, DNA methylation profiling, immune infiltration analysis, single-cell RNA sequencing investigate expression patterns, regulatory...
Abstract The learning activities in collective intelligence have inspired many&#xD;collective behaviors, such as self-organization, which is extremely&#xD;important for human society. Most relations are unilateral or&#xD;asymmetrical, depending on social status. In particular, the status&#xD;involving asymmetric learning, characterized by nodes with&#xD;different degrees networks, affects how the&#xD;collective responds to evolutionary environment,&#xD;especially...
We investigate the relationship between blood flow velocities (BFV) in middle cerebral arteries and beat-to-beat pressure (BP) recorded from a finger healthy post-stroke subjects during quasisteady state after perturbation for four different physiologic conditions: supine rest, head-up tilt, hyperventilation, $\mathrm{C}{\mathrm{O}}_{2}$ rebreathing upright position. To evaluate whether instantaneous BP changes steady are coupled with BFV, we compare dynamical patterns phases of these...
Coupled nonlinear systems under certain conditions exhibit phase synchronization, which may change for different frequency bands or with the presence of additive system noise. In both cases, Fourier filtering is traditionally used to preprocess data. We investigate what extent synchronization two coupled R\"ossler oscillators depends on (1) broadness their power spectrum, (2) width bandpass filter, and (3) level added find that identical coupling strengths, broader spectra weaker...