- International Business and FDI
- Global trade and economics
- Microfinance and Financial Inclusion
- Cancer-related molecular mechanisms research
- Economic Development and Digital Transformation
- FinTech, Crowdfunding, Digital Finance
- Banking stability, regulation, efficiency
- Regional Economic and Spatial Analysis
- Single-cell and spatial transcriptomics
- Economic Growth and Productivity
- Corporate Finance and Governance
- China's Socioeconomic Reforms and Governance
- RNA modifications and cancer
- Environmental Quality and Pollution
- RNA Research and Splicing
- Firm Innovation and Growth
- Grey System Theory Applications
- Gene Regulatory Network Analysis
- Concrete and Cement Materials Research
- Private Equity and Venture Capital
- Bioinformatics and Genomic Networks
- Circular RNAs in diseases
- Public Administration, ICT, and Policy Development
- Economic Zones and Regional Development
- Migration, Ethnicity, and Economy
Beijing Institute of Genomics
2023-2025
Shanghai Center For Bioinformation Technology
2024-2025
Chinese Academy of Sciences
2023-2025
Zhejiang University
2009-2023
Beijing Academy of Science and Technology
2023
Zhejiang University of Finance and Economics
2019-2022
Ningbo University of Technology
2010-2022
Xidian University
2016-2021
East Asia School of Theology
2020
Tianjin Normal University
2020
While long non-coding RNAs (lncRNAs) may play important roles in cellular function and biological process, we still know little about them. Growing evidences indicate that subcellular localization of lncRNAs provide clues to their functionality. To facilitate researchers functionally characterize thousands lncRNAs, developed a database-driven application, lncSLdb, which stores manages user-collected qualitative quantitative information from literature mining. The current release contains >11...
Abstract Most combination therapies are developed based on targets of existing drugs, which only represent a small portion the human proteome. We introduce network controllability-based method, OptiCon, for de novo identification synergistic regulators as candidates therapy. These jointly exert maximal control over deregulated genes but minimal unperturbed in disease. Using data from three cancer types, we show that 68% predicted either known drug or have critical role development. Predicted...
Abstract This paper constructs a two‐sector model to identify the effects of outward foreign direct investment (OFDI) in different countries on China's industrial upgrading and conducts an empirical analysis using provincial‐level panel data from 2003–2015. The results show that China can benefit via OFDI developed by way reverse technology spillover. effect is significant eastern region, but not central western regions. also developing along Belt Road through marginal transfer. more...
The heterogeneity of enterprise innovation is private information which government can not capture, leading that traditional support achieve its goals. paper introduces into the signal transmission model to study how affects R&D support. conclusion shows scale effects caused by investment will be greatly reduced when considering innovative heterogeneity. Especially efficiency significantly different, original effect reduced. Based on resources inventory data, demonstrates role weakened in case
Abstract Single-cell technologies enable the dynamic analyses of cell fate mapping. However, capturing gene regulatory relationships and identifying driver factors that control decisions are still challenging. We present CEFCON, a network-based framework first uses graph neural network with attention mechanism to infer cell-lineage-specific (GRN) from single-cell RNA-sequencing data, then models dynamics through theory identify regulators associated modules, revealing their critical...
Abstract As a molecular feature that characterizes most tumor types, cancer‐associated splicing dysregulation largely arises from recurrent genetic mutations and altered expression of trans ‐acting factors. Although factor occur less frequently in solid tumors, disorders are pervasive proven to promote tumorigenesis. However, it still lacks an efficient way identify the key factors at top regulatory hierarchy whose abnormal expressions induce such drive phenotypic variability. Here, MRAS...
The fabrication and characterization of the first magnetoelectric sensors utilizing arrays Janus composite nanowires composed barium titanate cobalt ferrite are presented. By suspended across electrodes above substrate, substrate clamping is reduced when compared to layered thin-film architectures; this results in enhanced coupling. fabricated by sol-gel electrospinning, their length controlled through electrospinning calcination conditions. Using a directed nanomanufacturing approach, then...
This paper measures the index of industrial structure upgrade nationally, regionally and provincially by employing angle cosine method. The results show that China’s has upgraded East is higher than Northeast Midwest. presents an empirical study to examine effect variables including demand-side factors, New Normal as a dummy variable supply-side factors on upgrading. It implies not significant, while consumption, investment, technology improvement labor supply significantly facilitate...
Competing endogenous RNAs (ceRNAs) regulate each other by competitively binding microRNAs they share. This is a vital post-transcriptional regulation mechanism and plays critical roles in physiological pathological processes. Current computational methods for the identification of ceRNA pairs are mainly based on correlation expression candidates number shared microRNAs, without considering sensitivity to levels microRNAs. To overcome this limitation, we introduced liquid association (LA),...
Abstract Background In recent years, increasing evidences have indicated that long non-coding RNAs (lncRNAs) are deeply involved in a wide range of human biological pathways. The mutations and disorders lncRNAs closely associated with many diseases. Therefore, it is great importance to predict potential associations between complex diseases for the diagnosis cure However, functional mechanisms majority still remain unclear. As result, remains challenge Results Here, we proposed new method...
Using DC electric fields, nickel-zinc ferrite (Ni0.5Zn0.5Fe2O4) nanoparticles (Dh =16.6 ± 3.6 nm) are electrophoretically deposited onto silicon substrates to form dense structures defined by photoresist molds. Parameters such as field, bath composition, and deposition time tuned produce films ranging in thickness from 177 805 nm. The exhibit soft magnetic properties with a saturation magnetization of 60 emu/g coercivity 2.6 kA/m (33 Oe). Additionally, the influence mold on deposit profile...
Rare earth refers to a type of strategic resource. Countries worldwide have invested considerable money in relevant research. This bibliometric study was evaluate the global situation published rare research discover strategies wide range countries. In this study, 50,149 SCI papers related were collected. addition, we divided above into 11 main fields according discipline and keyword clustering, theoretical cultures different industry keywords papers. After that, directions, institutions,...
Magnetically soft NiZn ferrite (Ni0.5Zn0.5Fe2O4) nanoparticles are embedded within a permalloy (Ni-Fe) matrix via an electro-infiltration process as thin films intended for use on-chip inductor cores in the MHz frequency regime. A layer of is first deposited, and then electroplated through voids to encapsulate particles form three-dimensional ferrite/alloy nanocomposites. The composites estimated contain 37% by volume exhibit relative permeability ∼320, saturation ∼1.15 T, operational...
This article introduces a scalable, process-integrable manufacturing method for creating microstructured, nanocomposite soft magnetic cores on planar substrates such as silicon wafers or printed circuit boards. To demonstrate this electro-infiltration process, maghemite (γ-Fe2O3) nanoparticles less than 50 nm are first evaporatively consolidated from suspension into photoresist molds substrate, forming dimensionally defined porous microstructures. Next, high-saturation iron cobalt alloy...
This paper introduces a potentially scalable electro-infiltration process to produce exchange-coupled hard magnetic nanocomposite thin films. Fe-Co/CoPt films are fabricated by deposition of CoFe2O4 nanoparticles onto Si substrate, followed electroplating CoPt. Samples subsequently annealed under H2 reduce the magnetically soft Fe-Co and also induce L10 ordering in Resultant exhibit 0.97 T saturation magnetization, 0.70 remanent 127 kA/m coercivity 21.8 kJ/m3 maximum energy density. First...
Complex network is the quantitative expression of a complex process, which reflects interactivity and relevance nodes in network. The financing technology-based small medium-sized enterprises (SMEs) new third board market may be affected by multifold factors. Therefore, their decision-making process. Financing networks are built on basis selected data from 2015 to 2017 SMEs networks. This paper explores whether introduction enforcement relevant laws regulations will affect decisions based...
Abstract Background The competing endogenous RNA (ceRNA) regulation is a newly discovered post-transcriptional mechanism and plays significant roles in physiological pathological progress. CeRNA networks provide global views to help understand the of ceRNAs. have been widely used detect survival biomarkers, select candidate regulators disease genes, predict long noncoding functions. However, there no software platform overall functions from construction analysis ceRNA networks. Results To...
One of the most important problems in complex networks is how to detect communities accurately. The main challenge lies fact that traditional definition about does not always capture intrinsic features communities. Motivated by observation PPI tend consist an abundance interacting triad motifs, we define a 2-club substructure with diameter 2 possessing triad-rich property describe community. Based on substructure, design DIVision Algorithm using our proposed edge Niche Centrality DIVANC...
Many current analyses on protein-protein interaction (PPI) networks concentrate developing the algorithms for identifying functional modules within PPI networks. However, understanding internal structure in is needed to define their roles entire network. We propose use of a two-club meso-scale that possesses refined inner topological structural properties, useful deciphering aforementioned obscure supporting evidences. In this paper, we: 1) illustrate feasibility and advantages modeling as...
Background: It is very likely that RNA secondary structures, more so than the sequence itself, are closely related to their functions, especially for mRNAs and even short noncoding RNAs. However, structure of most lncRNAs (long RNAs) remains poorly understood. Method: Here, we perform a large-scale investigation lncRNA structures hairpin structural motif in human mouse based on computational prediction using RNAfold software. Results: The main results show some difference between various...
The objective of this research is to investigate the dynamic responses masonry structure with base-isolation system under vertical earthquake. Through inter-story shear model multi-degree freedom, equation motion and distinguishing rule between slide joggle were established. effects component earthquake on response pure-friction base-isolated analyzed. Results show that displacement, force acceleration at lower layers are increased, but value topper maximum displacement isolated layer less...
This paper constructs a two-sector model to identify the effects of outward foreign direct investment (OFDI) in different countries on China's industrial upgrading and conducts an empirical analysis using provincial-level panel data from 2003–2015. The results show that China can benefit via OFDI developed by way reverse technology spillover. effect is significant eastern region, but not central western regions. also developing along Belt Road through marginal transfer. more followed Our...