China's e-democracy in information age

E-democracy is a new type of democracy in Information Age. At first, the paper discusses the definitions of democracy and e-democracy, and then the paper analyzes the advantages and problems of E-democracy in China. Finally the paper investigates the future of e-democracy in China

ACTIVE CURRENT INJECTION METHOD FOR LIMITING GROUND FAULT CURRENT HARMONICS IN UNDERGROUND COAL MINES

Current practice in U.S. underground coal mine high-voltage distribution systems is to attempt to limit ground fault current to 25 Amperes and de-energize the circuit at 10 Amperes. However, the significant amount of system capacitance due to the use of shielded cables can cause ground fault current to be two or three times the intended ground fault limit. Consequently, this practice can cause several issues such as ground fault currents significantly exceeding the neutral grounding resistor current limit, loss of relay selectivity in the distribution system, and transient overvoltages in certain ground fault situations. These issues are solved to some extent by using a resonance grounded system, currently used in some other countries. However, a shortcoming of traditional resonance grounded systems is the inability to deal with the harmonic components existing in ground fault current. With the increasing use of nonlinear sources such as variable frequency drives, the proportion of harmonic components in ground fault current can be significant. Consequently, although the fundamental component can be almost fully compensated in a traditional resonance grounded system, the harmonic components can still be large enough to maintain arcing and cause personal injury and equipment damage. In this dissertation, a novel method is developed to perform real-time prediction of the harmonics in ground fault currents. Methods for neutralizing the ground fault current harmonics and identifying ground fault location are also developed. Results indicate that the combination of traditional high-resistance grounding and active current injection to neutralize harmonics in the ground fault has the potential to significantly reduce the total ground fault current and reduce arc and flash hazards during ground faults in high voltage distribution systems

Nuclear Structure Studied by Fluorescence Hybridization: Visualization of Individual Gene Transcription and RNA Splicing: A Thesis

The overall objective of this study has been to address some of the longstanding questions concerning functional organization of the interphase nucleus. This was achieved by using recently developed high-resolution fluorescence in situ hybridization techniques for a precise localization of specific DNA and RNA sequences in conjunction with immunocytochemistry and biochemical fractionation. This study is based on the philosophy that new insights may be gained by an approach that attempts to interrelate genomic organization, spatial arrangement of RNA metabolism, and nuclear substructure within the mammalian cell nucleus. The nuclear distribution of an exogenous, viral RNA (Epstein-Barr Virus, EBV) within nuclear matrix preparations was studied by developing an approach which couples in situhybridization with biochemical fractionation procedures. EBV RNA molecules accumulate in highly localized foci or elongated tracks within the nucleus of lymphoma cells. These RNA tracks were retained with spatial and quantitative fidelity in nuclear matrix preparations even after biochemical fractionation which removes 95% of cellular protein, DNA, and phospholipid. This provided direct evidence that the primary transcripts are localized via their binding to, or comprising part of, a non-chromatin nuclear substructure. Then the nuclear distribution of RNA from an endogenous gene, fibronectin, was investigated using fluorescence techniques modified for more sensitive detection of endogenous RNAs within nuclear morphology. A series of in situhybridization experiments were performed using different combinations of intron, cDNA, and genomic probes for RNA/RNA or RNA/DNA analysis in intact cells. Fibronectin RNAs were highly localized in the nucleus, forming foci or tracks. Both intron and exon sequences were highly concentrated at the same site within the nucleus, indicating the presence of primary unspliced transcripts. Double-color hybridization using a nontranscribed 5\u27 flanking sequence probe and a genomic DNA probe showed that the gene and RNA track for fibronectin were spatially overlapped, with the gene consistently towards one end of the track. These results provided evidence that the accumulation of RNA molecules occurs directly at or near the site of transcription, and further indicated a structural polarity to the RNA track formation with the gene towards one end. It was further discovered that within a single cell, cDNA probes produced longer tracks than those formed with intron probes, i.e. intron signals were generally confined to a smaller part of the track than the exon signals, indicating that splicing occurs within the RNA track. Additional experiments using poly(A) RNA hybridization or anti-SC-35 antibody staining combined with fibronectin RNA hybridization have shown that the fibronectin tracks were associated with recently discovered transcript domains enriched in poly(A) RNA and splicing factors. To further determine whether other specific genes and RNAs are functionally organized within the nucleus, the nuclear distribution of several active or inactive genes was analyzed in terms of their spatial relationship to transcript domains. The results indicated that in addition to fibronectin, the genes or their primary transcripts from two other active genes, collagen and actin, were also closely associated with the domains. For both of these, over 90% of the gene/RNA sites were either overlapping or directly contacting the domains. In contrast. for two inactive genes, cardiac myosin heavy chain and neurotensin, it was found that both genes were separated from the domains in the majority of nuclei. Histone genes, which have several unique features, showed a relatively complex result with about half of the gene signals extremely close to the domains. Therefore, three actively expressed genes were demonstrated to be tightly associated with the domains and, moreover, their RNAs showed distinct and characteristic spatial relationships with the domains. In contrast, two inactive genes were not associated with the domains. One potential implication of these finding is that active genes may be preferentially localized in and around these transcript domains. The nuclear localization of another RNA, XIST, standing for X-inactivation specific transcript, was studied because of its potentially unique biological role. XIST is the only gene which is known to be expressed from the inactive human X chromosome but not from the active X chromosome, and was believed to be important in X inactivation. Using fluorescence in situhybridization, it was found that XIST RNA was highly localized within the nucleus and always completely overlapped the Barr body which is the condensed, inactive X chromosome. The different fine distribution pattern of XIST RNA within the nucleus as compared to other protein coding RNAs suggested a unique function for this RNA, possibly involving a structural role in inactivating the X chromosome. The final area of my thesis research was to study and acquire expertise in the applications of fluorescence in situ hybridization in gene mapping and cancer genetics. A retinoblastoma (RB)-related putative tumor suppressor gene, p107, was mapped to human chromosome 20 in band q11.2. Localization of p107 to 20q11.2 was of particular interest because of the correlation of breakpoints in this area with specific myeloid disorders such as acute nonlymphocytic leukemia and myelodysplastic syndrome. Other applications of in situ hybridization including the search for unknown genes at a known chromosomal breakpoint, detection of deletions, translocations or other chromosomal rearrangements associated with specific tumors were also explored and reviewed

Structure and Activation Mechanism of the Drosophila Initiator Caspase Dronc

Activation of an initiator caspase is essential to the execution of apoptosis. The molecular mechanisms by which initiator caspases are activated remain poorly understood. Here we demonstrate that the autocatalytic cleavage of Dronc, an important initiator caspase in Drosophila, results in a drastic enhancement of its catalytic activity in vitro. The autocleaved Dronc forms a homodimer, whereas the uncleaved Dronc zymogen exists exclusively as a monomer. Thus the autocatalytic cleavage in Dronc induces its stable dimerization, which presumably allows the two adjacent monomers to mutually stabilize their active sites, leading to activation. Crystal structure of a prodomain-deleted Dronc zymogen, determined at 2.5 Å resolution, reveals an unproductive conformation at the active site, which is consistent with the observation that the zymogen remains catalytically inactive. This study revealed insights into mechanism of Dronc activation, and in conjunction with other observations, suggests diverse mechanisms for the activation of initiator caspases

A Simplified Method of Vibration Analysis of Layered Foundation and Applications in Pavement Parameter Identification

In this paper, a simplified approach based on spline semi-analytical method is proposed for dynamic response analysis of visco-elastic layered half-space foundation. For varied geometrical and physical properties, the compliance function of layered non-homogeneous foundation is studied. Then an efficient and reliable numerical procedure for back-calculating material properties of pavement through the data measured from in-situ Falling Weight Deflectometer (FWD) tests is presented. The simulation results for in-situ data show that the proposed methodology is workable and applicable

A Hierarchical and Geographically Weighted Regression Model and Its Backfitting Maximum Likelihood Estimator (Short Paper)

Spatial heterogeneity is a typical and common form of spatial effect. Geographically weighted regression (GWR) and its extensions are important local modeling techniques for exploring spatial heterogeneity. However, when dealing with spatial data sampled at a micro-level but the geographical locations of them are only known at a higher level, GWR-based models encounter several problems, such as difficulty in establishing the bandwidth. Because data with this characteristic exhibit spatial hierarchical structures, such data can be suitably handled using hierarchical linear modeling (HLM). This model calibrates random effects for sample-level variables in each group to address spatial heterogeneity. However, it does not work when exploring spatial heterogeneity in some group-level variables when there is insufficient variance in each group. In this study, we therefore propose a hierarchical and geographically weighted regression (HGWR) model, together with a back-fitting maximum likelihood estimator, that can be applied to examine spatial heterogeneity in the regression relationships of data where observations nest into high-order groupings and share the same or very close coordinates within those groups. The HGWR model divides coefficients into three types: local fixed effects, global fixed effects, and random effects. Results of a simulation experiment show that HGWR distinguishes local fixed effects from others and also global effects from random effects. Spatial heterogeneity is reflected in the estimates of local fixed effects, along with the spatial hierarchical structure. Compared with GWR and HLM, HGWR produces estimates with the lowest deviations of coefficient estimates. Thus, the ability of HGWR to tackle both spatial and group-level heterogeneity simultaneously suggests its potential as a promising data modeling tool for handling the increasingly common occurrence where data, in secure settings for example, remove the specific geographic identifiers of individuals and release their locations only at a group level

GrainGNN: A dynamic graph neural network for predicting 3D grain microstructure

We propose GrainGNN, a surrogate model for the evolution of polycrystalline grain structure under rapid solidification conditions in metal additive manufacturing. High fidelity simulations of solidification microstructures are typically performed using multicomponent partial differential equations (PDEs) with moving interfaces. The inherent randomness of the PDE initial conditions (grain seeds) necessitates ensemble simulations to predict microstructure statistics, e.g., grain size, aspect ratio, and crystallographic orientation. Currently such ensemble simulations are prohibitively expensive and surrogates are necessary. In GrainGNN, we use a dynamic graph to represent interface motion and topological changes due to grain coarsening. We use a reduced representation of the microstructure using hand-crafted features; we combine pattern finding and altering graph algorithms with two neural networks, a classifier (for topological changes) and a regressor (for interface motion). Both networks have an encoder-decoder architecture; the encoder has a multi-layer transformer long-short-term-memory architecture; the decoder is a single layer perceptron. We evaluate GrainGNN by comparing it to high-fidelity phase field simulations for in-distribution and out-of-distribution grain configurations for solidification under laser power bed fusion conditions. GrainGNN results in 80\%--90\% pointwise accuracy; and nearly identical distributions of scalar quantities of interest (QoI) between phase field and GrainGNN simulations compared using Kolmogorov-Smirnov test. GrainGNN's inference speedup (PyTorch on single x86 CPU) over a high-fidelity phase field simulation (CUDA on a single NVIDIA A100 GPU) is 150$\times$--2000$\times$ for 100-initial grain problem. Further, using GrainGNN, we model the formation of 11,600 grains in 220 seconds on a single CPU core

Chinese crisis communication in the early stage of the COVID-19 pandemic: a discourse analysis of 'People's Daily' news articles in response to threatening international news coverage

This paper examines China's international communication strategy during the initial phase of the global COVID-19 pandemic. In the spring of 2020, Western governments and media began criticising the systematic lack of transparency and accountability in the Chinese political system in relation to the failed containment of the Wuhan outbreak. Facing an unprecedented reputational crisis, the Chinese Communist Party (CCP) mobilised its foreign-language media in an attempt to influence the international discourse on COVID-19. Surveying the English and Chinese editions of the People's Daily, this study identifies CCP discourses aimed at foreign audiences and traces their evolution during the early stages of the pandemic. Overall, the study provides a comprehensive map of Chinese narratives on COVID-19 and generates fresh insights into CCP crisis communication

Predicting Astrometric Microlensing Events from Gaia DR3

Currently astrometric microlensing is the only tool that can directly measure the mass of a single star, it can also help us to detect compact objects like isolated neutron stars and black holes. The number of microlensing events that are being predicted and reported is increasing. In the paper, the potential lens stars are selected from three types of stars, high-proper-motion stars, nearby stars and high-mass stars. For each potential lens star, we select a larger search scope to find possible matching sources to avoid missing events as much as possible. Using Gaia DR3 data, we predict 4500 astrometric microlensing events with signal>0.1mas that occur between J2010.0 and J2070.0, where 1664 events are different from those found previously. There are 293 lens stars that can cause two or more events, where 5 lens stars can cause more than 50 events. We find that 116 events have the distance of background stars from the proper motion path of lens stars more than 8 arcsec in the reference epoch, where the maximum distance is 16.6 arcsec, so the cone search method of expanding the search range of sources for each potential lens star can reduce the possibility of missing events.Comment: This article has been accepted by Monthly Notices of the Royal Astronomical Societ

Influencing factors on efficacy of summer acupoint application treatment for allergic rhinitis: a retrospective study

AbstractObjectiveAllergic rhinitis (AR) is a common health problem. Summer acupoint application treatment (SAAT) is reported to effectively treat and prevent AR from seasonal onset. In the present study, we aimed to evaluate its effects, especially on the course of AR, through a retrospective study.MethodA cross-sectional multicenter study was performed based on patients treated between 2008 and 2009 in 13 clinical centers in China. A total of 1058 outpatients aged ≥2 years with documented AR and ≥1 year SAAT were eligible for enrollment. A case report form (CRF) was completed by both patient and doctor. The CRF was designed to collect data on the patient's history of SAAT, AR condition, and self-reported health condition. The outcomes (dependent variables) were incidence and intensity of AR and concomitant medications used. Data were analyzed with ordinal logistic regression (OLR).ResultsTreatment course and seasonal pattern of AR were related to all dependent variables positively. After controlling for sample bias and confounding factors, the findings suggested that a 3-year treatment course had better efficacy (OR/incidence of AR: 2.57, 95% CI: 1.76–3.76; OR/intensity of AR: 2.17, 95%CI: 1.50–3.17; OR/concomitant medications: 2.20, 95% CI: 1.50–3.23) compared with a 2-year or less treatment course.ConclusionThe results showed that: 1) the length of treatment course was positively associated with the efficacy of SAAT (the longer the treatment course, the better the efficacy); and 2) SAAT was more efficacious in treating seasonal AR than non-seasonal AR