Abstract: Disclosed are a class of fused cyclic compounds against the HCMV virus, and use thereof in the preparation of a drugs for treating diseases associated with the HCMV virus. In particular, disclosed is the compound shown in formula (II) and pharmaceutically acceptable salts thereof.

Abstract: The invention relates to a process for preparing a compound of general formula (Ia): wherein R2, Y, R4 and R5 are as defined herein. The invention also relates to certain compounds per se. The compounds are intermediates in the synthesis of synthetic bile acids.

Abstract: A preparation method for polypeptide nano-bubbles, comprising the following steps: constructing a recombinant plasmid, which includes a Flag tag, an adipose tissue-targeting polypeptide and the coding gene of nano-bubble marker membrane protein CD63; and transfecting the recombinant plasmid into cells which secrete nano-bubbles through lipidosome for culturing, collecting a cell culture solution, and extracting the polypeptide nano-bubbles by ultracentrifugation. The present invention further discloses the polypeptide nano-bubbles and application thereof in the preparation of drugs for treating obesity. The polypeptide nano-bubbles bring great convenience for targeted therapy of anti-obesity drugs. The polypeptide nano-bubbles have good biocompatibility and are capable of carrying different kinds of bioactive substances.

Abstract: The present application discloses a semiconductor device and a method for forming a p-type conductive channel in a diamond using an abrupt heterojunction, which pertain to the technical field of fabrication of semiconductor devices. The method includes: forming a diamond layer on a substrate; forming one or multiple layers of a heterogeneous elementary substance or compound having an acceptor characteristic on an upper surface of the diamond layer; forming a heterojunction at an interface between the diamond layer and an acceptor layer; forming two-dimensional hole gas at one side of the diamond layer with a distance of 10 nm-20 nm away from the heterojunction; and using the two-dimensional hole gas as a p-type conductive channel. The method enables a concentration and a mobility of carriers to maintain stable at a temperature range of 0° C.-1000° C., thereby realizing normal operation of the diamond device at high temperature environment.

Abstract: The present application discloses a semiconductor device and a method for forming an n-type conductive channel in a diamond using a heterojunction, which pertain to the technical field of fabrication of semiconductor devices. The method comprises: forming a diamond layer on a substrate; and depositing a ternary compound having a donor characteristic and graded components on an upper surface of the diamond layer to form a first donor layer, forming a graded heterojunction at an interface between the diamond layer and the first donor layer, forming two-dimensional electron gas at one side of the diamond layer adjacent to the graded heterojunction, and using the two-dimensional electron gas as the n-type conductive channel. The method enables a concentration and a mobility of carriers in the n-type diamond channel to reach 1013 cm?2 and 2000 cm2/V·s respectively.

Abstract: Provided are an ion air supply module needle net layout method and an ion air supply module. The layout method comprises: step 1, a wind speed test: adjusting a distance between a single discharge needle and a metal net, so that an ion wind speed at the wind speed central point position of the metal net is at the maximum, and measuring a distance value L between a tip of the discharge needle and the metal net; step 2, a projection radius measurement: measuring a wind speed Vr deviating from the wind speed central point position, and when Vr=aVmax, measuring that the distance between a wind speed measurement point and a wind speed central point is r; and step 3, a needle net layout: setting the distance between the tip of the discharge needle and the metal net to be within the range of (0.7-1.3)L, with the distance between tips of two adjacent discharge needles being within the range of (0.7-1.3)r.

Abstract: Methods and systems for reducing the run-to-run variability in measurement results obtained by a sample analysis system. The method and system utilize data from previous sample runs to optimize analysis parameters for future test runs. The methods and systems are particularly suitable for microfluidic sample analysis.

Abstract: Provided are the use of Lactobacillus rhamnosus strain CNCM I-3690 for reducing diet-induced weight gain and/or diet-induced insulin resistance, and treating disorders resulting therefrom, such as overweight, obesity and obesity-related disorders in a subject.

Abstract: A microfluidic Western blot method and system including a microfluidic western blot method for immunoassay of proteins, the method including introducing a sample including the proteins onto a chip; electrophoretically separating the proteins; binding the separated proteins to beads to form protein-attached beads, the beads being magnetic; flowing the protein-attached beads into a magnetic holding region; applying a magnetic field to the magnetic holding region to fix the protein-attached beads in place within the magnetic holding region; binding primary antibodies to target proteins on the protein-attached beads; binding secondary antibodies to the bound primary antibodies; and detecting the bound secondary antibodies.

Abstract: Provided are methods and systems for generating physical database design tuning recommendations. Given a workload, the system analyzes the workload to identify and recommend a set of rowstore and columnstore indexes optimal for the performance of the workload. The system is designed to estimate the size of the columnstore index (at the granularity of each column) without actually building the index, estimate the improvement in query performance that each columnstore index would result in when built, and automatically derive the workload used for the physical design tuning task by analyzing stored query execution history data. This automatic workload derivation is orthogonal to columnstores and can be used even when columnstore indexes are not being used.

Abstract: Disclosed is a method for establishing a prediction model based on a multidimensional texture of brain nuclear magnetic resonance images. Images are segmented using a region growing method, a contourlet transform method is used to extract an edge texture feature parameter of ROIs, a multidimensional database is established, and a prediction model is established using various data mining methods, comprising a Gaussian process, a support vector machine, a random forest, a Lasso regression and a semi-supervised support vector machine. The ROIs comprise a hippocampus region and an entorhinal cortex region.

Abstract: A microfluidic Western blot method and system including a microfluidic western blot method for immunoassay of proteins, the method including introducing a sample including the proteins onto a chip; electrophoretically separating the proteins; binding the separated proteins to beads to form protein-attached beads, the beads being magnetic; flowing the protein-attached beads into a magnetic holding region; applying a magnetic field to the magnetic holding region to fix the protein-attached beads in place within the magnetic holding region; binding primary antibodies to target proteins on the protein-attached beads; binding secondary antibodies to the bound primary antibodies; and detecting the bound secondary antibodies.

Abstract: Methods and systems for reducing the run-to-run variability in measurement results obtained by a sample analysis system. The method and system utilize data from previous sample runs to optimize analysis parameters for future test runs. The methods and systems are particularly suitable for microfluidic sample analysis.

Abstract: The present disclosure relates generally to mechanisms for the estimation of location privacy risk, comprising: building one or more trajectory models from auxiliary information (e.g., one or more maps, one or more routes); capturing common behavioral patterns (e.g., shortest route(s),/fastest route(s)); identifying, given unlinked trajectories for a plurality of users, most likely linkages using the trajectory model(s); eliminating one or more unlikely linkages based on deviation from the shortest route(s) and/or the fastest route(s); measuring privacy as the percentage of linkages correctly identified; and outputting the measured privacy.

Abstract: The present disclosure relates generally to mechanisms for the estimation of location privacy risk, comprising: building one or more trajectory models from auxiliary information (e.g., one or more maps, one or more routes); capturing common behavioral patterns (e.g., shortest route(s),/fastest route(s)); identifying, given unlinked trajectories for a plurality of users, most likely linkages using the trajectory model(s); eliminating one or more unlikely linkages based on deviation from the shortest route(s) and/or the fastest route(s); measuring privacy as the percentage of linkages correctly identified; and outputting the measured privacy.

Abstract: Embodiments provide relevancy-based smart page navigation within an application interface. A container is associated with each page of the interface (e.g., as represented by a tree topology). The container references other pages deemed relevant according to a measure. This relevancy value may be determined from factors such as frequency of accessing the other page, proximity of the other page to the current page, and/or user designation. A home page and/or recently accessed pages may also be included in the container, irrespective of their relevance score. The container, including page thumbnails, is offered to the user. Upon selecting a thumbnail, the user moves directly to that other page, thereby avoiding laborious effort to navigate the tree topology. Embodiments may retain unsaved data of a previous page following navigation away using the container. That unsaved data is thus available for editing if the user seeks to return to the previous page.

Abstract: Disclosed is a method for establishing a prediction model based on a multidimensional texture of brain nuclear magnetic resonance images. Images are segmented using a region growing method, a contourlet transform method is used to extract an edge texture feature parameter of ROIs, a multidimensional database is established, and a prediction model is established using various data mining methods, comprising a Gaussian process, a support vector machine, a random forest, a Lasso regression and a semi-supervised support vector machine. The ROIs comprise a hippocampus region and an entorhinal cortex region.