Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
345
result(s) for
"Liu, Zhenya"
Sort by:
Electric Power and Energy in China
The acute energy problems facing China today are characterized by their own histories and realities. Some have come about because of China's energy endowment and stage of development, while others have been created by a combination of domestic and global factors. Some are the results of an accumulation of longstanding contradictions, while others are new challenges posed by the new order. There are no \"miracle cures\" to solve these problems instantly. What is needed is a tireless enquiry, with goals, planning and procedures, guided by a clear energy strategy. With China's increasing dependence on foreign energy sources, and the global energy situation and greenhouse gas issue exerting an increasingly prohibiting effect on China's energy development, energy diplomacy has become an important component of Chinese diplomatic affairs.
Based on a\"broad energy outlook\", this book studies and analyzes China's energy issues and energy strategies from the perspective of electric power.
* Discusses a variety of issues, including energy transportation and allocation, end-user consumption, markets, early warning and emergency, technical innovation
* As a leading player in the power and energy area, China's strategies attracts global attention
* Proposes the innovative idea of \"Macro Energy Perspective\"
* As a key player in China's energy industrial circle, the author's perspective can help global audiences to understand China's energy strategies better
Electric Power and Energy in China is ideal for government energy policy makers, engineers, scientists and enterprise managers to understand China's strategy in electric power and energy. It is also a good reference for energy economics researchers, consultants and university students.
eBook
Machine-Learning-Enabled Design and Manipulation of a Microfluidic Concentration Gradient Generator
Microfluidics concentration gradient generators have been widely applied in chemical and biological fields. However, the current gradient generators still have some limitations. In this work, we presented a microfluidic concentration gradient generator with its corresponding manipulation process to generate an arbitrary concentration gradient. Machine-learning techniques and interpolation algorithms were implemented to help researchers instantly analyze the current concentration profile of the gradient generator with different inlet configurations. The proposed method has a 93.71% accuracy rate with a 300× acceleration effect compared to the conventional finite element analysis. In addition, our method shows the potential application of the design automation and computer-aided design of microfluidics by leveraging both artificial neural networks and computer science algorithms.
Journal Article
SEQUENTIAL MONITORING OF CHANGES IN DYNAMIC LINEAR MODELS, APPLIED TO THE U.S. HOUSING MARKET
We propose a sequential monitoring scheme to find structural breaks in dynamic linear models. The monitoring scheme is based on a detector and a suitably chosen boundary function. If the detector crosses the boundary function, a structural break is detected. We provide the asymptotics for the procedure under the null hypothesis of stability. The consistency of the procedure is also proved. We derive the asymptotic distribution of the stopping time under the change point alternative. Monte Carlo simulation is used to show the size and the power of our method under several conditions. As an example, we study the real estate markets in Boston and Los Angeles, and at the national U.S. level. We find structural breaks in the markets, and we segment the data into stationary segments. It is observed that the autoregressive parameter is increasing but stays below 1.
Journal Article
Total flavonoids of rhizoma drynariae improved the osteogenic and pro-angiogenic capacities of BMSCs to accelerate long bone regeneration
Total Flavonoids of Rhizoma Drynariae (TFRD) possess the ability to enhance bone regeneration by promoting angiogenesis-osteogenesis coupling, but the underlying mechanisms remain poorly understood. This study aimed to investigate the influence of TFRD on the coordination of osteogenic and pro-angiogenic properties of bone marrow mesenchymal stem cells (BMSCs) during long bone regeneration and further elucidate the underlying mechanism. We initially assessed pharmacological effects of TFRD in mouse monocortical tibial defect (MTD) model by utilizing micro-CT, histopathology and immunofluorescence imaging. Subsequently, we extracted BMSCs from TFRD-treated mice and characterized the regulatory effects of TFRD on the behavior of BMSCs. We observed that TFRD treatment increased skeletal parameters, osteoblast number, vessel volume and perivascular osteoprogenitor population within the callus. In vitro analyses revealed that TFRD promoted the proliferation and osteogenic differentiation of BMSCs. Additionally, BMSC-conditioned medium from TFRD-treated mice enhanced the migration, proliferation and tube formation of endothelial cells (ECs) under hypoxia. TFRD increased the expression level of HIF-1α and its target genes in callus and hypoxia-cultured ECs. The results of YAP1/TAZ interference in ECs by using siRNA indicated that the enhancement of HIf-1α was through YAP1/TAZ inhibition. Our findings suggest that YAP1/TAZ/ HIf-1α pathways involved in indirect regulation of TFRD on angiogenesis through BMSCs paracrine pathways.
Journal Article
Evolutionary game analysis of green production transformation of small farmers led by cooperatives based on prospect theory
For countries with small farmers as the main body of agricultural production, green production transformation of small farmers is crucial to achieve green agricultural development. Based on the prospect theory, this paper builds an evolutionary game model of cooperative leading the green production transformation of small farmers, systematically deduces the possible combination of different strategies of both sides, and puts forward targeted countermeasures for improvement. Finally, the simulation is verified, and the influence of relevant parameters on the decision-making of both sides is analyzed. In the initial stage of green production transformation, the local government’s support to the cooperative supervision and incentive strategy is the key to the successful transformation. Cooperatives can effectively promote small farmers’ transition to green production by reducing green production costs and increasing their perceived ecological benefits, moral benefits and brand benefits, but the effect of simply increasing the proportion of dividends is not obvious. Under the supervision and incentive strategy of cooperatives, there is an interval in which small farmers adopt cooperation strategy but fail to realize income increase, so cooperatives should increase the benefit distribution of small farmers. The research results provide reference for the green production transformation of small farmers, and also have strong enlightenment for the cooperative hitchhiking governance.
Journal Article
MYC-mediated transcriptional control of splicing factors promotes RNA splicing in activated B lymphocytes
Germinal center B cells play a pivotal role in the generation of long-lived plasma cells and high-affinity antibodies. Although RNA splicing and alternative splicing are known to regulate germinal center B cell responses, the upstream mechanisms controlling these splicing events remain poorly understood. RNA sequencing analysis revealed significant upregulation of alternative splicing factors and core spliceosome genes in germinal center B cells. Genome-wide binding analyses using CUT&RUN and ChIP-seq confirmed that MAX and MYC physically bind to the promoters of these splicing regulators. High MYC expression in B cells markedly upregulated multiple splicing factors, whereas MAX knockout substantially suppressed their expression. Through splicing event profiling, we demonstrated that MYC promotes the excision of introns and alternative exons by upregulating splicing factor expression. Additionally, we identified E2F1 as another transcriptional regulator that occupies splicing factor promoters. Genetic ablation of E2F1 disrupted germinal center B cell and follicular helper T cell populations; however, its deletion in activated B cells had minimal effect on global spliceosome gene expression. These findings establish MYC as an upstream regulator that controls both splicing factor expression and splicing event alterations in activated B cells.
Journal Article
Growth of Brasenia schreberi requries good water quality and appropriate sediment nitrogen content
Stem tissue structures are the basis of stem function and are essential for maintaining the normal physiological metabolism of aquatic plants. Water and sediment conditions are important factors affecting the functional characteristics and physiological metabolism of
. Due to pollution and other water and sediment issues caused by human activities, the natural habitat and population size of
have dramatically decreased. Understanding the responses of the functional characteristics of B. schreberi to water and sediment conditions is the key to its scientific conservation and management.
This study selected Beihai Wetland in Tengchong, China, which boasts the largest natural habitat of
, as the research site. To detect the response strategies of
to water and sediment conditions, the photosynthetic parameters and stem structural characteristics of this species at 17 locations, as well as the water and sediment nutrient parameters at these locations were measured. We examined the relationships between the trait characteristics of
and the water and sediment parameters by using correlation analysis. The aim was to explore the effects of sediment nutrients and water quality on the photosynthetic and stem structural characteristics of B. schreberi.
with higher coverage exhibited higher stomatal conductance (
) and transpiration rate (
), but lower vascular bundle area and ventilation hole area (
<0.05), while the net photosynthetic rate (
) maintained content, indicating lower utilization efficiency of water and CO
. Water temperature (
), sediment nitrogen content (
) and water dissolved oxygen (
) were the main parameters affecting the characters of
. The
, was significantly negatively correlated with
, while it was positively correlated with
and sediment phosphorus content (
<0.05). The findings indicate that
requires good water quality to maintain a high photosynthetic rate and is prone to phosphorus limitation, but it has low requirements for sediment nitrogen content. The findings of this study provide a scientific basis for the habitat restoration and species-specific management of B. schreberi in degraded wetlands.
Journal Article
Integrated Lactylome Characterization Reveals the Molecular Dynamics of Protein Regulation in Gastrointestinal Cancers
Lysine lactylation (Kla) plays a vital role in several physiological processes. However, the cancer‐specific modulation of Kla in gastrointestinal (GI) tumors requires systematic elucidation. Here, global lactylome profiling of cancerous and adjacent tissues is conducted from 40 patients with GI cancer and identified 11698 Kla sites. Lactylome integration revealed that Kla affects proteins involved in hallmark cancer processes, including epigenetic rewiring, metabolic perturbations, and genome instability. Moreover, the study revealed pan‐cancer patterns of Kla alterations, among which 37 Kla sites are consistently upregulated in all four GI cancers and are involved in gene regulation. It is further verified that lactylation of CBX3 at K10 mediates its interaction of CBX3 with the epigenetic marker H3K9me3 and facilitates GI cancer progression. Overall, this study provides an invaluable resource for understanding the lactylome landscape in GI cancers, which may provide new paths for drug discovery for these devastating diseases. In this study, a workflow is adapted to systematically identify lactylation modifications at the proteomic scale in cancerous and adjacent tissues from 40 patients with GI cancer. Integrated lactylome analysis reveals the connections and alterations in key functional pathways affected by dysregulated Kla modifications in GI cancer, which may provide new paths for drug discovery for these devastating diseases.
Journal Article
Towards Design Automation of Microfluidic Mixers: Leveraging Reinforcement Learning and Artificial Neural Networks
Microfluidic mixers, a pivotal application of microfluidic technology, are primarily utilized for the rapid amalgamation of diverse samples within microscale devices. Given the intricacy of their design processes and the substantial expertise required from designers, the intelligent automation of microfluidic mixer design has garnered significant attention. This paper discusses an approach that integrates artificial neural networks (ANNs) with reinforcement learning techniques to automate the dimensional parameter design of microfluidic mixers. In this study, we selected two typical microfluidic mixer structures for testing and trained two neural network models, both highly precise and cost-efficient, as alternatives to traditional, time-consuming finite-element simulations using up to 10,000 sets of COMSOL simulation data. By defining effective state evaluation functions for the reinforcement learning agents, we utilized the trained agents to successfully validate the automated design of dimensional parameters for these mixer structures. The tests demonstrated that the first mixer model could be automatically optimized in just 0.129 s, and the second in 0.169 s, significantly reducing the time compared to manual design. The simulation results validated the potential of reinforcement learning techniques in the automated design of microfluidic mixers, offering a new solution in this field.
Journal Article