Abstract: Embodiments are disclosed for determining delivery confidence intervals. An example method for determining a confidence interval includes the following operations. Delivery information is received from one or more sources, wherein the delivery information comprises data associated with at least one predefined location perimeter. The data associated with the at least one predefined location perimeter is normalized. The normalized data is categorized into training data used to perform a deep neural network regression analysis. A predicted delivery confidence interval is determined by constructing a predictive learning model by conducting a regression of the data using deep neural network regression. The predicted delivery confidence interval is stored in a results table in association with the predefined location perimeter. And, upon receiving a request from a visibility management system, accessing the results table to provide predicted delivery windows to consignees.

Abstract: Intelligent process management is provided. A start time is determined for an additional process to be run on a worker node within a duration of a sleep state of a task of a process already running on the worker node by adding a first defined buffer time to a determined start time of the sleep state of the task. A backfill time is determined for the additional process by subtracting a second defined buffer time from a determined end time of the sleep state of the task. A scheduling plan is generated for the additional process based on the start time and the backfill time corresponding to the additional process. The scheduling plan is executed to run the additional process on the worker node according to the start time and the backfill time corresponding to the additional process.

Abstract: Provided is an apparatus for fabricating a flexible display screen. The apparatus for the flexible display screen includes a roller mechanism and a jig, wherein the jig includes a bearing surface configured to bear a flexible display panel, the bearing surface being a curved surface; and the roller mechanism includes a roller, an axis of the roller being parallel to an element line of the bearing surface, and the roller being configured to roll on the bearing surface along a directrix of the bearing surface.

Abstract: A method for determining a three-dimensional tortuosity of a loose and broken rock-soil mass, includes the following steps: a particle grading curve of the loose and broken rock-soil mass is obtained by utilizing a particle size analysis, and followed by calculating an equivalent particle size and an average particle size; a porosity of the loose and broken rock-soil mass is obtained by utilizing a moisture content test, a density test, and a specific gravity test; the three-dimensional tortuosity of the loose and broken rock-soil mass is obtained by utilizing the equivalent particle size, the average particle size and the porosity of the loose and broken rock-soil mass. The method has the advantages of simple logic, accuracy and reliability, simple and fast parameter determination, and has high practical value and promotion value in the field of environmental protection and ecological restoration technology.

Abstract: A bonding method and a bonding device for a flexible panel. In the process of bonding a protective cover plate and the flexible panel, a heated-type optical adhesive is used, the optical adhesive at normal temperature has relatively low viscosity and the viscosity thereof is below a bondable threshold, so that before the flexible panel and the edge of the protective cover plate are bonded, the optical adhesive and the edge of the protective cover plate come into contact in advance and then can be effectively separated, thus poor bonding in a bending region is avoided, the risk of generating bubbles and cracks is small, and the bonding yield can be improved. Moreover, the optical adhesive is increased in viscosity after heated, thereby ensuring that the flexible panel is bonded to the protective cover plate.

Abstract: The invention provides a communication system and method including a processor; a computer-readable medium connected to the processor, and a set of instructions on the computer-readable medium. A speech reception unit is executable by the processor to receive input speech in the form of an input signal derived from a sound wave generated by a microphone that includes input language. A speech processing system connected to the speech reception unit is executable by the processor to modify the input signal to an output signal wherein the input speech in the input signal is modified to output speech in the output signal. A speech output unit connected to the speech processing system is executable by the processor to provide an output of the output signal.

Abstract: A semiconductor device includes a substrate having a logic region and a magnetoresistive random access memory (MRAM) region, a MTJ on the MRAM region, a metal interconnection on the MTJ, and a blocking layer on the metal interconnection. Preferably, the blocking layer includes a stripe pattern according to a top view and the blocking layer could include metal or a dielectric layer.

Abstract: A sealing device of a bearing. The sealing device includes a framework, a sealing component and a plurality of elastic members, wherein the framework and the sealing component are both annular and connected to each other, and the framework is configured to be fixed to a first ring of a bearing. The sealing component is configured to abut against a second ring of the bearing the plurality of elastic members are distributed at intervals in the circumferential direction of the sealing component, and the elastic members are used for applying an elastic force to the sealing component such that the sealing component is pressed against the second ring. A bearing is also provided.

Abstract: This disclosure describes a method and system for active machine learning model that automatically and continuously improve the model with high accuracy, sensitivity, specificity and universality.

Abstract: The present invention relates to a kit for diagnosing hepatocellular carcinoma consisting of plasma microRNA, a kit containing the same, and a new method therefor. The marker for diagnosing hepatocellular carcinoma consists of a plurality of nucleic acid molecules, each nucleic acid molecule encoding at least one microRNA sequence, preferably consists of nucleic acid molecules encoding hsa-miR-122, hsa-miR-192, hsa-miR-21, hsa-miR-223, hsa-miR-26a, hsa-miR-27a, hsa-miR-801 and hsa-miR-1228. The kit can be used for diagnosing hepatocellular carcinoma, especially early hepatocellular carcinoma, and also for discriminating plasma of at least one hepatocellular carcinoma patient from that of at east one healthy individual, at east one chronic hepatitis B patient, or at east one cirrhosis patient.

Abstract: A memory management method, a memory storage device, and a memory control circuit unit are provided. The method includes: detecting a first temperature status of a rewritable non-volatile memory module; performing a first write operation on a first physical unit under the first temperature status to store first data to the first physical unit; after performing the first write operation, detecting a second temperature status of the rewritable non-volatile memory module; in response to the first temperature status and the second temperature status meeting a first condition, performing a data refresh operation on the first physical unit under the second temperature status to re-store the first data to a second physical unit different from the first physical unit.

Abstract: A fiber-reinforced prestressed reinforced concrete sleeper is integrally cast and includes a sleeper body and two rail bearing regions. A rail clamping base is arranged on a surface of the each rail bearing region. The two rail bearing regions are located under rails on both sides of the sleeper and the two rail bearing regions are located above the sleeper body. A reinforcing fiber is mixed into the two rail bearing regions only, and a reinforcing rib is arranged in the sleeper body. The reinforcing fiber is concentrated in a main stress region under the surface of the rail bearing regions. The reinforcing fiber arranged in a region with a large stress is more than the reinforcing fiber arranged in a region with a small stress.

Abstract: A fiber-reinforced prestressed reinforced concrete sleeper is integrally cast and includes a sleeper body and two rail bearing regions. A rail clamping base is arranged on a surface of the each rail bearing region. The two rail bearing regions are located under rails on both sides of the sleeper and the two rail bearing regions are located above the sleeper body. A reinforcing fiber is mixed into the two rail bearing regions only, and a reinforcing rib is arranged in the sleeper body. The reinforcing fiber is concentrated in a main stress region under the surface of the rail bearing regions. The reinforcing fiber arranged in a region with a large stress is more than the reinforcing fiber arranged in a region with a small stress.

Abstract: Polymeric-based building materials are disclosed. The polymeric-based building materials can include opposing inner and outer surfaces, with a recessed portion on the inner surface that is positioned between a first contacting portion and a second contacting portion. The surface of the second contacting portion can be angled with respect to the surface of the first contacting portion.

Abstract: A method and system for orchestrating the analysis of input data containing data items, e.g. medical text, with at least two processing techniques. Two different processing techniques process a respective portion of the input data to identify relationships between the data items of the input data. The accuracy of each processing technique is then determined, and the size of the respective portions is automatically changed for a subsequent iteration of processing input data based the determined accuracy.

Abstract: Embodiments are disclosed for determining delivery confidence intervals. An example method for determining a confidence interval includes the following operations. Delivery information is received from one or more sources, wherein the delivery information comprises data associated with at least one predefined location perimeter. The data associated with the at least one predefined location perimeter is normalized. The normalized data is categorized into training data used to perform a deep neural network regression analysis. A predicted delivery confidence interval is determined by constructing a predictive learning model by conducting a regression of the data using deep neural network regression. The predicted delivery confidence interval is stored in a results table in association with the predefined location perimeter. And, upon receiving a request from a visibility management system, accessing the results table to provide predicted delivery windows to consignees.

Abstract: Presented are concepts for detecting recurrence of a medical condition in a subject previously treated for the medical condition. One such concept comprises, using natural language processing, extracting information from a data set comprising information relating to the subject prior to and/or during the subject's previous treatment for the medical condition. The extracted information is reformulated into structured data based on a standardized model. A data retrieval request comprising a structured query adhering to a template is obtained and, based on the structured query of the data retrieval request, data is retrieved from the structured data.

Abstract: A rapid, ultrasensitive and inexpensive nanoplasmon-enhanced scattering (nPES) assay that directly quantifies tumor-derived EVs from as little as 1 ?{umlaut over ({acute over (?)})}, of plasma is described herein. This assay uses binding of gold nanospheres and nanorods with EV- and tumor-derived EV-specificities to produce a local plasmon effect that enhances tumor-derived EV detection sensitivity and specificity. This nPES approach is also a non-invasive method for assessing pancreatic cancer stage and treatment response that can be easily refined for clinical use, and is readily adapted for diagnosis and monitoring of other conditions with disease-specific EV proteins.

Abstract: A ballastless track system comprises a base; a track slab arranged above the base; a poured-field layer arranged between the base and the track slab, the poured-field layer being formed by filling self-compacting concrete, emulsified asphalt cement mortar or resin mortar, and the inside of the poured-field layer being of a steel bar structure; a connecting piece, the first end of the connecting piece extending into the track slab, and the second end of the connecting piece extending into the poured-field layer; and two rows of rail-seat arranged on the track slab in parallel; and rails arranged on the rail-seat. The ballastless track system is high in reliability, good in durability, and easy in construction and maintenance.

Abstract: Provided in the disclosure is a pre-stressed concrete track slab of slab-type ballast-less track, which includes a slab body (1), on which fastening embedded casings (4) are arranged. At least one row of longitudinal common steel bars (11) and at least one row of transverse common steel bars (12) are arranged in the slab body (1) along a length direction and a width direction. The longitudinal common steel bars (11) are insulated from the transverse common steel bars (12). At least one row of longitudinal pre-stressed steel bars (7) and at least one row of transverse pre-stressed steel bars (6) are fastened in the slab body (1) along the length direction and the width direction through anchor backing plates and fastener devices (8). In the pre-stress directions of the longitudinal pre-stressed steel bars (7) and the transverse pre-stressed steel bars (6), it is post-tensioned in both directions or it is pre-tensioned in one direction and post-tensioned in the other direction.