Abstract: The present teaching relates to obtaining a model for identifying content matching a query. Training data are received which include queries, advertisements, and hyperlinks. A plurality of subwords are identified from each of the queries and a plurality of input vectors for the plurality of subwords of each of the queries are obtained and an input vector for each of the queries is derived based on a plurality of input vectors of a plurality of subwords of the query. A query/ads model is optimized with respect to an objective function via training an input vector for each of the plurality of subwords associated with each of the queries, an input vector for each of the advertisements and links, and a matrix.

Abstract: The present teaching relates to identifying content that matches a query. Train data include queries, advertisement, and hyperlinks associated with query sessions. A plurality of subwords for each of the queries in the training data are identified. A query/ads model is then trained by optimizing vectors associated the plurality of subwords for each of the queries, advertisements, and hyperlinks in the training data with respect to an objective function. At least one vector associated with each of the queries is derived based on the plurality of subword vectors in the query/ads model that represent the plurality of subwords of the query.

Abstract: The present teaching relates to obtaining a model for identifying content matching a query. Training data are received which include queries, advertisements, and hyperlinks. A plurality of subwords are identified from each of the queries and a plurality of vectors for the plurality of subwords of each of the queries are obtained. Via a neural network, a vector for each of the queries is derived based on a plurality of vectors for the plurality of subwords of the query. A query/ads model is obtained via optimization with respect to an objective function, based on vectors associated with the plurality of subwords of each of the queries and vectors for the queries obtained from the neural network.

Abstract: Bit-flip coding uses a bit-flip encoder to flip bits in a redundancy-intersecting vector of a binary array having n rows and n columns until Hamming weights of the binary array are within a predetermined range ? of n divided by two. Information bits of an input data word to the bit-flip coding apparatus are stored in locations within the binary array that are not occupied by n redundancy bits of a redundancy vector.

Abstract: An isolated monoclonal antibody or any antigen-binding fragment thereof which binds to ricin toxin, an expression vector including the isolated nucleic acid molecule and a host cell transfected with said isolated nucleic acid molecule or with the expression vector, a pharmaceutical composition including as an active ingredient the isolated monoclonal antibody or any antigen-binding fragment thereof, the bispecific molecule or the immunoconjugate and a pharmaceutically acceptable carrier, excipient or diluent, and a method of prophylaxis, treatment or amelioration of ricin toxin poisoning including administering to a subject in need thereof a therapeutically effective amount of the isolated monoclonal antibody or any antigen-binding fragment thereof, the bispecific molecule, the immunoconjugate or the pharmaceutical composition.

Abstract: Described herein are methods for the treatment of breast cancer in a subject. In particular, methods are provided for the treatment of resistant, metastatic breast cancer with a combination of entinostat and an aromatase inhibitor.

Abstract: The invention provides a pharmaceutical composition comprising as an active ingredient a combination of three isolated monoclonal antibodies or any antigen-binding fragment thereof which bind ricin toxin and neutralize its toxic effects, and a pharmaceutically acceptable carrier, excipient or diluent. The invention also provides a method of prophylaxis, treatment or amelioration of ricin toxin poisoning including administering to a subject in need thereof a therapeutically effective amount of the pharmaceutical composition.

Abstract: In an example, in a method for encoding data within a crossbar memory array containing cells, bits of input data may be received. The received bits of data may be mapped to the cells in a row of the memory array, in which the cells are to be assigned to one of a low resistance state and a high resistance state. A subset of the mapped bits in the row may be grouped into a word pattern. The word pattern may be arranged such that more low resistance states are mapped to cells that are located closer to a voltage source of the row of the memory array than to cells that are located farther away from the voltage source.

Abstract: Described herein are methods for the treatment of breast cancer in a subject. In particular, methods are provided for the treatment of metastatic triple negative breast cancer with a combination of entinostat and an anti-PD-L1 antibody, such as MPDL3280A.

Abstract: According to an example, a method for assigning redundancy in encoding data onto crossbar memory arrays is provided wherein each of said crossbar memory arrays include cells. The data may be allocated to a subset of the cells in multiple crossbar memory arrays. The redundancy for the data may then be assigned based on coordinates of the subset of cells within the multiple crossbar memory arrays onto which the data is allocated.

Abstract: In one implementation, a data storage system includes a memory array having memory devices in a crossbar configuration, and a memory controller for controlling data storage in the memory array. The memory controller includes an encoder to generate a 2-dimensional encoded bit pattern that encodes an input data. Each run-length of 0's and each run-length of 1's in each row or each column of the encoded bit pattern are at least of a predefined lower limit. The predefined lower limit is at least two. The memory controller includes a write controller to write the encoded bit pattern into the memory devices of the memory array, such that a number of consecutive memory devices in each row or each column of the memory array having a same state is based on the encoded bit pattern.

Abstract: Described herein are methods for selecting cancer patients for treatment with a combination therapy comprising entinostat and a second therapeutic agent. In particular, methods are provided for the examination of a non-cancer cell type, myeloid-derived suppressor cells, e.g., those which are CD14-positive and HLA-DR-(lo/negative), as a therapeutic indicator in the setting of entinostat combination therapies.

Abstract: A method to access two memory cells include determining a first cell current flowing through a first memory cell by subtracting a sneak current associated with the first memory cell from a first access current of the first bitline and determining a second cell current flowing through a second memory cell in the first bitline or a second bitline by subtracting the sneak current associated with the first memory cell from a second access current of the first bitline or the second bitline.

Abstract: Encoding or decoding can operate a processing system to apply one or more recursive relations to a known parameter associated with a length m and a Hamming weight l to produce a computed parameter associated with length m?1. An encoding process can thus assign values to bits of a code based on comparison of the data value being encoded and the computed parameter. A decoding process can use the computed parameters in a calculation of a decoded data value.

Abstract: This disclosure provides a circuit that includes a ramp generator to apply a voltage ramp to a resistive memory cell. A sensing circuit can enable the ramp generator and monitor a current output received from the resistive memory cell in response to the applied voltage ramp, wherein the sensing circuit compares the current output to a predetermined current threshold to determine the state of the resistive memory cell.

Abstract: Methods and systems for storing data in memory arrays are described. In one implementation, input bits are encoded into an intermediate binary array having multiple sub-arrays iteratively appended row-wise to the intermediate binary array. First sub-array is generated based on the input bits such that each row of the first sub-array has a number of 1's equal to a fraction of number of columns in the first sub-array, and based on a column balance coding such that the columns of the first sub-array have an equal number of 1's. At least one subsequent sub-array is generated based on a set of bits obtained from balancing termination indices for a previous sub-array and from diagonal bits of the intermediate binary array that are a part of the previous appended sub-array. The intermediate binary array is transformed to an encoded bit pattern. The encoded bit pattern is stored in the memory array.

Abstract: Described herein are methods for the treatment of cancer in a subject. In particular, methods are provided for the treatment of non small cell lung cancer and melanoma with a combination of entinostat and an anti-PD-1 or an anti-PD-L1 antibody.

Abstract: According to an example, in a method for determining a resistance state of a cell in a crossbar memory array, a first read voltage may be applied across a cell to sense a first cell current. In addition, a second read voltage may be applied across the cell to sense a second cell current. A difference value between the first cell current and the second cell current may be identified and a resistance state of the cell may be determined based on the difference value.

Abstract: The present teaching relates to estimating one or more parameters on a system including a plurality of nodes. In one example, the system comprises: one or more learner nodes, each of which is configured for generating information related to a group of words for estimating the one or more parameters associated with a machine learning model; and a plurality of server nodes, each of which is configured for obtaining a plurality of sub-vectors each of which is a portion of a vector that represents a word in the group of words, updating the sub-vectors based at least partially on the information to generate a plurality of updated sub-vectors, and estimating at least one of the one or more parameters associated with the machine learning model based on the plurality of updated sub-vectors.

Abstract: Example implementations disclosed herein can be used to decode memory elements in a crosspoint array. In one example implementation, a drain voltage is applied to a drain terminal of a field effect transistor switch for a selected row in the crosspoint array associated with the selected memory element. A bulk terminal of the field effect transistor switch for the selected row can be biased with a well voltage that is independent of the drain, source, or substrate voltages. In such examples, the gate terminal of the field effect transistor switch for the selected row can be driven with a gate voltage comprising the drain voltage and the well voltage. The drain voltage, the well voltage, and the gate voltage are selected to cause the field effect transistor switch for the selected row to operate as an ohmic switch.