Abstract: The present disclosure relates to a DNA methylation markers combination for bladder cancer risk stratification, which includes methylation regions as denoted by any one or more of SEQ ID NOS:1-22 or any one or more of complementary sequences thereof. The present disclosure further provides a clinical application of the three-class stratification mode before operation based on the selected appropriate molecular marker combinations, to promote the rational use of current diagnosis and treatment methods, consequently patients with negative BC can avoid excessive invasive cystoscopy, while HR-NMIBC or MIBC can expedite diagnosis and surgical operations, and the definite LMR-NMIBC patients can follow standard diagnostic modalities.

Abstract: A lithium-ion battery positive electrode lithium supplement additive, a preparation method, and a lithium-ion battery are provided. The additive has an Li2NiO2 purity that is greater than 95%, a total residual alkali less than 3%, an initial charge gram capacity of 420-465 mAh/g, and an irreversible capacity of 260-340 mAh/g. The method includes: preparing a composite lithium salt, mixing the composite lithium salt with a nickel source, sintering and crushing same, and obtaining the lithium-ion battery positive electrode lithium supplement additive. The additive is added to a positive electrode active material of the positive electrode of the lithium-ion battery. The Li2NiO2 obtained has a purity of greater than 95%, the total residual alkali is less than 3%, the initial charge gram capacity is 420-465 mAh/g, and the irreversible capacity is 260-340 mAh/g.

Abstract: A computing program product and method for interpolating wavelets coefficients and estimating spatial varying wavelets using the covariance interpolation method in the data space over a survey region having multiple well locations, are disclosed. The method and computing program product, embodied in a non-transitory computer readable device, that stores instructions for performing by a device are based on interpolating coefficient models in the data space domain using covariance analysis methods to overcome inaccuracy and instability issues commonly observed during wavelet estimation and interpolation.

Abstract: A computer-implemented method, and system implementing the method, are disclosed for computing a final model of elastic properties, using nonlinear direct prestack seismic inversion for Poisson impedance. User inputs and earth-model data is obtained over points of incidence of a survey region, at various angles of incidence. Various models are then computed that serve for lithology identification and fluid discrimination and take part in preliminary seismic exploration and reservoir characterization. Therefore, further refinement of these models is required due to changes in burial depths, compaction and overburden pressure, as they provide limitations for reservoirs on porous media. The further refinement using nonlinear direct prestack seismic model is performed on a system computer, which produces a final model of elastic properties.

Abstract: A computing program product and method for interpolating wavelets coefficients and estimating spatial varying wavelets using the covariance interpolation method in the data space over a survey region having multiple well locations, are disclosed. The method and computing program product, embodied in a non-transitory computer readable device, that stores instructions for performing by a device are based on interpolating coefficient models in the data space domain using covariance analysis methods to overcome inaccuracy and instability issues commonly observed during wavelet estimation and interpolation.

Abstract: A soil solidification material based on solid waste and bioenzyme, and a preparation method thereof are disclosed. The soil solidification material is composed of the following components in parts by weight: recycled aggregate 22-35 parts, steel slag 20-30 parts, high-calcium fly ash 16-24 parts, the bioenzyme 5-15 parts, an inorganic adsorbent 10-18 parts, an organic adsorbent 8-20 parts, industrial waste gypsum 25-35 parts, an activator 20-30 parts, sodium citrate 1-3 parts, and slaked lime 0.02-0.2 parts. The present disclosure adopts the recycled aggregate, the steel slag, the industrial waste gypsum and the high-calcium fly ash as the main components of the soil solidification material to reduce the cost. The soil solidification material of the present disclosure prepared by optimizing the proportion is capable of significantly improving the engineering properties of the soil or the mixed contaminated soil, and has significant economic and environmental benefits.

Abstract: A device for pyrolysis reactions includes a feeding pump, a flow meter, an atomizer, a pyrolysis reactor, electromagnetic coils, an electromagnetic induction heating power, a temperature sensor, a temperature controller, a condenser and a product tank. The feeding pump is connected with the flow meter which is connected to the inlet of the atomizer in the pyrolysis reactor. There is a port at the bottom of the pyrolysis reactor, with the port at the top of the pyrolysis reactor connected with the condenser. The condenser is connected with the product tank. The external wall of the pyrolysis reactor is surrounded by electromagnetic coils which are connected with the electromagnetic induction heating power. The temperature sensor is placed between the pyrolysis reactor and the coils, which is connected with the temperature controller. The contact resistance between the atomized material and the hot surface can be.

Abstract: A soil solidification material based on solid waste and bioenzyme, and a preparation method thereof are disclosed. The soil solidification material is composed of the following components in parts by weight: recycled aggregate 22-35 parts, steel slag 20-30 parts, high-calcium fly ash 16-24 parts, the bioenzyme 5-15 parts, an inorganic adsorbent 10-18 parts, an organic adsorbent 8-20 parts, industrial waste gypsum 25-35 parts, an activator 20-30 parts, sodium citrate 1-3 parts, and slaked lime 0.02-0.2 parts. The present disclosure adopts the recycled aggregate, the steel slag, the industrial waste gypsum and the high-calcium fly ash as the main components of the soil solidification material to reduce the cost. The soil solidification material of the present disclosure prepared by optimizing the proportion is capable of significantly improving the engineering properties of the soil or the mixed contaminated soil, and has significant economic and environmental benefits.

Abstract: Disclosed is a real-time intelligent monitoring system for long-distance curved pipe jacking, which includes a pipe jacking mechanism and a working platform, wherein the working platform includes a control console and a main jacking hydraulic oil cylinder, the control console is arranged at one side of the main jacking hydraulic oil cylinder and is electrically connected with the main jacking hydraulic oil cylinder, the pipe jacking mechanism includes a pipe jacking machine, a curved jacking pipe and a jacking pipe, an arcing assembly is arranged inside the curved jacking pipe, a soil settlement monitoring assembly is arranged at the top of the jacking pipe, and laser induction assemblies are arranged inside the pipe jacking machine, the curved jacking pipe and the jacking pipe correspondingly.

Abstract: A method and a system for implementing the method are disclosed wherein the pre-stack seismic input data, an initial anellipticity anisotropy parameter, and a baseline normal moveout velocity from a non-flat surface, are sometimes mild or foothill topography as well as the shot and receiver lines might not necessarily be straight, and often curve to avoid obstacles on the land surface. In particular, the method and system disclosed, allows for updating the anisotropy parameters iteratively and when the stopping criteria is satisfied, the final estimated parameter can be directly used for time migration. This method and system are mainly used for time migration with the purpose of obtaining the high fidelity (accurate amplitude, i.e. not only travel-time correct but also amplitude correct) image gathers which are used for reservoir characterization and interpretation.

Abstract: A method and a system for implementing the method are disclosed wherein the pre-stack seismic input data, an initial anellipticity anisotropy parameter, and a baseline normal moveout velocity from a non-flat surface, are sometimes mild or foothill topography as well as the shot and receiver lines might not necessarily be straight, and often curve to avoid obstacles on the land surface. In particular, the method and system disclosed, allows for updating the anisotropy parameters iteratively and when the stopping criteria is satisfied, the final estimated parameter can be directly used for time migration. This method and system are mainly used for time migration with the purpose of obtaining the high fidelity (accurate amplitude, i.e. not only travel-time correct but also amplitude correct) image gathers which are used for reservoir characterization and interpretation.

Abstract: The present invention relates to a method for preparing low-sulfur biodiesel.

Abstract: A computer-implemented method, and system implementing the method, are disclosed for computing a final model of elastic properties, using nonlinear direct prestack seismic inversion for Poisson impedance. User inputs and earth-model data is obtained over points of incidence of a survey region, at various angles of incidence. Various models are then computed that serve for lithology identification and fluid discrimination and take part in preliminary seismic exploration and reservoir characterization. Therefore, further refinement of these models is required due to changes in burial depths, compaction and overburden pressure, as they provide limitations for reservoirs on porous media. The further refinement using nonlinear direct prestack seismic model is performed on a system computer, which produces a final model of elastic properties.

Abstract: A device for pyrolysis reactions includes a feeding pump, a flow meter, an atomizer, a pyrolysis reactor, electromagnetic coils, an electromagnetic induction heating power, a temperature sensor, a temperature controller, a condenser and a product tank. The feeding pump is connected with the flow meter which is connected to the inlet of the atomizer in the pyrolysis reactor. There is a port at the bottom of the pyrolysis reactor, with the port at the top of the pyrolysis reactor connected with the condenser. The condenser is connected with the product tank. The external wall of the pyrolysis reactor is surrounded by electromagnetic coils which are connected with the electromagnetic induction heating power. The temperature sensor is placed between the pyrolysis reactor and the coils, which is connected with the temperature controller. The contact resistance between the atomized material and the hot surface can be.

Abstract: Methods and systems are presented in this disclosure for semblance-based anisotropy parameter estimation using isotropic depth-migrated common image gathers. Far-offset image gathers can be generated from seismic data associated with a subterranean formation migrated based on an isotropic depth migration that uses an isotropic velocity model. Based on the far-offset image gathers, a plurality of semblance values can be calculated as a function of an anisotropy parameter of the subterranean formation for the different depths and the surface locations. Effective values of the anisotropy parameter of the subterranean formation can be then chosen that result in maxima of the plurality of semblance values for the different depths and the surface locations. Anisotropy model of the subterranean formation can be obtained based on the effective values of the anisotropy parameter.

Abstract: An apparatus and a method for estimating interval anellipticity parameter by inversing effective anellipticity parameter in the depth domain using a least-squares method. One embodiment of interval anellipticity parameter estimator includes: 1) an interface configured to receive seismic data and borehole information; 2) a depth convertor configured to obtain a function of depth of effective anisotropy parameter based on said borehole information; 3) an inverse transformer configured to set up said function of depth of effective anisotropy parameter as a least-squares fitting problem based on said P-wave data; and 4) an iterative solver configured to use iterative methods to solve said least-squares fitting problem and to obtain an anisotropy model containing interval anellipticity parameter.

Abstract: The present invention relates to a method for preparing low-sulfur biodiesel.

Abstract: An apparatus and a method for estimating interval anellipticity parameter by inversing effective anellipticity parameter in the depth domain using a least-squares method. One embodiment of interval anellipticity parameter estimator includes: 1) an interface configured to receive seismic data and borehole information; 2) a depth convertor configured to obtain a function of depth of effective anisotropy parameter based on said borehole information; 3) an inverse transformer configured to set up said function of depth of effective anisotropy parameter as a least-squares fitting problem based on said P-wave data; and 4) an iterative solver configured to use iterative methods to solve said least-squares fitting problem and to obtain an anisotropy model containing interval anellipticity parameter.

Abstract: Methods and systems are presented in this disclosure for semblance-based anisotropy parameter estimation using isotropic depth-migrated common image gathers. Far-offset image gathers can be generated from seismic data associated with a subterranean formation migrated based on an isotropic depth migration that uses an isotropic velocity model. Based on the far-offset image gathers, a plurality of semblance values can be calculated as a function of an anisotropy parameter of the subterranean formation for the different depths and the surface locations. Effective values of the anisotropy parameter of the subterranean formation can be then chosen that result in maxima of the plurality of semblance values for the different depths and the surface locations. Anisotropy model of the subterranean formation can be obtained based on the effective values of the anisotropy parameter.

Abstract: An example method for tomographic migration velocity analysis may include collecting seismographic traces from a subterranean formation and using an initial velocity model to generate common image gathers and a depth image volume based, at least in part, on the seismographic traces. A structure tensor may be computed with the depth image volume for automated structural dip and azimuth estimation. A semblance may be generated using said plurality of common image gathers and said structure tensor. Image depth residuals may be automatically picked from said semblance. A ray tracing computation may be performed on said initial velocity models using said structure tensor. An updated velocity model may be generated with a tomographic inversion computation, wherein said tomographic inversion computation uses said plurality of image depth residuals and said ray tracing computation.