94 research outputs found

    Relative Entropy in CFT

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    By using Araki's relative entropy, Lieb's convexity and the theory of singular integrals, we compute the mutual information associated with free fermions, and we deduce many results about entropies for chiral CFT's which are embedded into free fermions, and their extensions. Such relative entropies in CFT are here computed explicitly for the first time in a mathematical rigorous way. Our results agree with previous computations by physicists based on heuristic arguments; in addition we uncover a surprising connection with the theory of subfactors, in particular by showing that a certain duality, which is argued to be true on physical grounds, is in fact violated if the global dimension of the conformal net is greater than 1.1.Comment: 31 page

    T-type Ca 2+ channel blocker mibefradil blocks ORAI channels via acting on extracellular surface

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    Background and purposeMibefradil (Mib), a Tā€type Ca2+ channel blocker, has been investigated for treating solid tumours. However, its underlying mechanisms are still unclear. Here we aimed to investigate the pharmacological aspect of Mib on ORAI storeā€operated Ca2+ channels.Experimental approachHuman ORAI1ā€3 in tetracyclineā€regulated pcDNA4/TO vectors was transfected into HEK293 Tā€REx cells with STIM1 stable expression. The ORAI currents were recorded by wholeā€cell and excisedā€membrane patch clamp. Ca2+ influx or release was measured by Furaā€PE3/AM. Cell growth and death were monitored by WSTā€1, LDH assays and flow cytometry.Key resultsMib inhibited ORAI1, ORAI2 and ORAI3 currents in a doseā€dependent manner. The IC50 for ORAI1, ORAI2 and ORAI3 was 52.6 Ī¼M, 14.1 Ī¼M and 3.8 Ī¼M, respectively. Outsideā€out patch demonstrated that perfusion of 10 Ī¼M Mib to the extracellular surface completely blocked ORAI3 currents and single channel activity evoked by 2ā€APB. Intracellular application of Mib did not alter ORAI3 channel activity. Mib at higher concentrations (>50 Ī¼M) inhibited Ca2+ release, but had no effect on cytosolic STIM1 translocation evoked by thapsigargin. The inhibition of Mib on ORAI channels is structureā€related, since other Tā€type Ca2+ channel blockers with different structures, such as ethosuximide and ML218, had no or very small effect on ORAI channels. Moreover, Mib inhibited cell proliferation, induced apoptosis and arrested cell cycle progression.Conclusions and implicationsOur results suggest that Mib is a potent extracellular ORAI channel blocker, which provides a new pharmacological profile for the compound in regulating cell growth and death as an antiā€cancer drug

    Combined use of in-reservoir geological records for oil-reservoir destruction identification: A case study in the Jingbian area (Ordos Basin, China)

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    Rapid identification of reservoir destruction is critical to avoid exploration failure. More indicators of reservoir destruction are urgently needed to be developed besides the evaluation methods of trap effectiveness based on structural analysis. Here, we provide a case study in the Ordos Basin to show that the combined use of in-reservoir geological records is a robust tool to rapidly identify oil-reservoir destruction. The sandstones within the Yanchang Formation in the oil-depleted Jingbian area were investigated by petrological and geochemical analysis. The results show that 1) the oils with increased density and viscosity occur in the low permeability sandstones, whereas the high permeability sandstones were occupied by water, 2) abundant solid bitumen occur in the intergranular pores, 3) the n-alkanes with carbon numbers less than 19 are significantly lost from the original oils, and 4) the majority of paleo oil layers have evolved into present water layers. All these in-reservoir physicochemical signatures unravel the same geological event (i.e., oil-reservoir destruction) in the Jingbian area. This oil-reservoir destruction was likely caused by the uplift-induced erosion and the fault activities after oil accumulation during the Late Early Cretaceous

    Masonry shell structures with discrete equivalence classes

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    This paper proposes a method to model masonry shell structures where the shell elements fall into a set of discrete equivalence classes. Such shell structure can reduce the fabrication cost and simplify the physical construction due to reuse of a few template shell elements. Given a freeform surface, our goal is to generate a small set of template shell elements that can be reused to produce a seamless and buildable structure that closely resembles the surface. The major technical challenge in this process is balancing the desire for high reusability of template elements with the need for a seamless and buildable final structure. To address the challenge, we define three error metrics to measure the seamlessness and buildability of shell structures made from discrete equivalence classes and develop a hierarchical cluster-and-optimize approach to generate a small set of template elements that produce a structure closely approximating the surface with low error metrics. We demonstrate the feasibility of our approach on various freeform surfaces and geometric patterns, and validate buildability of our results with four physical prototypes. Code and data of this paper are at https://github.com/Linsanity81/TileableShell

    Sustainability considerations of green buildings: a detailed overview on current advancements and future considerations

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    The concept of green building has gradually formed with the increase in public awareness of environmental protection, which also covers a wide range of elements. The green building is the fundamental platform of sustainable development. This review paper provides solutions for the multi-dimensional and balanced development of green building. Since green building is the development trend of the construction industry, it presents an opportunity to mitigate global warming and accomplish energy efficiency. However, the problem is that the development of green buildingā€™s implementation is restricted by the lack of government policies, imperfect technical abilities and unreasonable economic benefits. One conclusion drawn from the results shows that the benefits of green building implementation include environmental, economic, social, and health and safety aspects. Moreover, it is crucial to improve the awareness of stakeholders to promote the development process of green building. The government should launch campaigns to encourage developers and tenants to embrace green building, which can add value to buildings. The novelty of the paper provides a more systematic review on the sustainable considerations of green building than previous efforts in the literature. Bibliometric analysis is conducted through VOS viewer software. This review paperdiscusses the relevant benefits and challenges of green building through a critical review of existing research knowledge related to green building. The current advancements in green building are highlighted in this paper. Importantly, future recommendations for standards and policy formulation and future research directions are proposed in this review article

    Identification, Expression, and Functional Analysis of the Group IId WRKY Subfamily in Upland Cotton (Gossypium hirsutum L.)

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    WRKY transcription factors have diverse functions in regulating stress response, leaf senescence, and plant growth and development. However, knowledge of the group IId WRKY subfamily in cotton is largely absent. This study identified 34 group IId WRKY genes in the Gossypium hirsutum genome, and their genomic loci were investigated. Members clustered together in the phylogenetic tree had similar motif compositions and gene structural features, revealing similarity and conservation within group IId WRKY genes. During the evolutionary process, 14 duplicated genes appeared to undergo purification selection. Public RNA-seq data were used to examine the expression patterns of group IId WRKY genes in various tissues and under drought and salt stress conditions. Ten highly expressed genes were identified, and the ten candidate genes revealed distinct expression patterns under drought and salt treatments by qRT-PCR analysis. Among them, Gh_A11G1801 was used for functional characterization. GUS activity was differentially induced by various stresses in Gh_A11G1801p::GUS transgenic Arabidopsis plants. The virus-induced gene silencing (VIGS) of Gh_A11G1801 resulted in drought sensitivity in cotton plants, which was accompanied by elevated malondialdehyde (MDA) content and reduced catalase (CAT) content. Taken together, these findings obtained in this study provide valuable resources for further studying group IId WRKY genes in cotton. Our results also enrich the gene resources for the genetic improvements of cotton varieties that are suitable for growth in stressful conditions

    Synthesis, crystal structures and characterization of novel alkali-metal containing rare-earth orthoborates

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    Inorganic metal borates are of research interest due to their structural diversity, interesting physico-chemical properties and wide applications in optics. To date, several rare-earth borates are developed as laser crystals, nonlinear optical crystals, self-frequency-doubling crystals, fluorescent phosphors and scintillation materials. In addition to these optical applications, rare-earth borates attract intensive attention on fascinating magnetic behaviors arising from their unpaired inner shell 4f electrons. Therefore, the design and search of new rare-earth borates and the investigation of their unique properties are of practical and scientific significance. This cumulative dissertation involves the use of solid-state synthesis and flux crystal growth methods for exploring the descriptive chemistry of various alkali metal-containing rare-earth borate systems where several new structures were isolated. In chapter 1, a series of typical and appealing alkali metal-containing rare-earth borates are reviewed in terms of their crystal structures, structural variation as well as their applications. Chapter 2 refers to the experimental methods and consists of two parts: synthesis methods of powder and single-crystal samples and multi-tool methods for a variety of characterization. Chapter 3 introduces a series of rare-earth orthoborates KLi2RE(BO3)2 (RE = Dy, Ho, Er, Tm, Yb and Y) with a new structure-type along with their detailed investigations of the optical, magnetic, vibrational, and thermal properties as well as DFT calculation. In chapter 4, the synthesis and crystal structures of novel alkali rare-earth orthoborates K3RE3(BO3)4 (RE = Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, and Lu) along with the structural relationship between the reported A3RE3(BO3)4 (A = Na, K, Rb) systems are discussed. The following chapter 5 describes a novel layered potassium praseodymium oxo-orthoborate K2Pr2O(BO3)2 with crystal structure, optical, magnetic, vibrational, and thermal properties. The last chapter 6 is the overall summary and the outlook of this cumulative thesis

    Remote Sensing Image Change Detection Based on NSCT-HMT Model and Its Application

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    Traditional image change detection based on a non-subsampled contourlet transform always ignores the neighborhood informationā€™s relationship to the non-subsampled contourlet coefficients, and the detection results are susceptible to noise interference. To address these disadvantages, we propose a denoising method based on the non-subsampled contourlet transform domain that uses the Hidden Markov Tree model (NSCT-HMT) for change detection of remote sensing images. First, the ENVI software is used to calibrate the original remote sensing images. After that, the mean-ratio operation is adopted to obtain the difference image that will be denoised by the NSCT-HMT model. Then, using the Fuzzy Local Information C-means (FLICM) algorithm, the difference image is divided into the change area and unchanged area. The proposed algorithm is applied to a real remote sensing data set. The application results show that the proposed algorithm can effectively suppress clutter noise, and retain more detailed information from the original images. The proposed algorithm has higher detection accuracy than the Markov Random Field-Fuzzy C-means (MRF-FCM), the non-subsampled contourlet transform-Fuzzy C-means clustering (NSCT-FCM), the pointwise approach and graph theory (PA-GT), and the Principal Component Analysis-Nonlocal Means (PCA-NLM) denosing algorithm. Finally, the five algorithms are used to detect the southern boundary of the Gurbantunggut Desert in Xinjiang Uygur Autonomous Region of China, and the results show that the proposed algorithm has the best effect on real remote sensing image change detection

    The Improved Kriging Interpolation Algorithm for Local Underwater Terrain Based on Fractal Compensation

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    The interpolation-reconstruction of local underwater terrain using the underwater digital terrain map (UDTM) is an important step for building an underwater terrain matching unit and directly affects the accuracy of underwater terrain matching navigation. The Kriging method is often used in terrain interpolation, but, with this method, the local terrain features are often lost. Therefore, the accuracy cannot meet the requirements of practical application. Analysis of the geographical features is performed on the basis of the randomness and self-similarity of underwater terrain. We extract the fractal features of local underwater terrain with the fractal Brownian motion model, compensating for the possible errors of the Kriging method with fractal theory. We then put forward an improved Kriging interpolation method based on this fractal compensation. Interpolation-reconstruction tests show that the method can simulate the real underwater terrain features well and that it has good usability
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