Abstract: The customer recommendation and notification system comprises a connecting module configured to activate two different actions of a creator, wherein the connecting module including; a first connecting module for a first action of the creator configured to recognize worth that inserting simulated intelligence innovation into items and administrations give to customers; a second connecting unit for a second action of the creator configured to analyze a portion of the costs buyers experience; an organizing unit configured to recognize four kinds of shopper encounters; an assisting module configured to assist organizations with offering significant advantages; an examining module configured to examine various periods of client lifecycle and recover social bits of knowledge of individual clients; a pre-processing unit configured to foster Point structure, unite and organize written works including genuine models and cases; and a primary processor configured to handle organized information and settle on continuous

Abstract: Techniques and systems are described to model and extract knowledge from images. A digital medium environment is configured to learn and use a model to compute a descriptive summarization of an input image automatically and without user intervention. Training data is obtained to train a model using machine learning in order to generate a structured image representation that serves as the descriptive summarization of an input image. The images and associated text are processed to extract structured semantic knowledge from the text, which is then associated with the images. The structured semantic knowledge is processed along with corresponding images to train a model using machine learning such that the model describes a relationship between text features within the structured semantic knowledge. Once the model is learned, the model is usable to process input images to generate a structured image representation of the image.

Abstract: The invention relates to a pharmaceutical product comprising therapeutically effective amounts of: (a) an ALK inhibitor or an antibody-drug conjugate directed to the ALK receptor, and (b) a TNF-related apoptosis-inducing ligand (TRAIL) receptor agonist.

Abstract: A set of nodes are organized into a graph to represent a workflow to enable the dynamic and directed management of that workflow in a decentralized system. Each node maintains a value necessary for execution of the workflow, and includes code to populate that value. A workflow agent manages the population of the values according to an identified dependency structure for the nodes relative to the workflow. As changes are made to the workflow, the workflow agent ensures that values and dependencies of the nodes stay up-to-date. Each node retains historic values, which enables the workflow agent to query several states of the workflow throughout time as changes are made thereto. The dynamic management of the nodes improves the responsiveness of the system to changes, thereby improving computational efficiency.

Abstract: The present disclosure is directed to generating and using a machine learning model, such as a neural network, by augmenting another machine learning model with an additional parameter. The additional parameter may be connected to some or all nodes of an internal layer of the neural network. A machine learning model can determine a value associated with the additional parameter using non-behavior or non-event-based information. The machine learning model can be trained using non-behavior or non-event-based information and parameter values of the other machine learning model.

Abstract: Techniques and systems are described to model and extract knowledge from images. A digital medium environment is configured to learn and use a model to compute a descriptive summarization of an input image automatically and without user intervention. Training data is obtained to train a model using machine learning in order to generate a structured image representation that serves as the descriptive summarization of an input image. The images and associated text are processed to extract structured semantic knowledge from the text, which is then associated with the images. The structured semantic knowledge is processed along with corresponding images to train a model using machine learning such that the model describes a relationship between text features within the structured semantic knowledge. Once the model is learned, the model is usable to process input images to generate a structured image representation of the image.

Abstract: A set of nodes are organized into a graph to represent a workflow to enable the dynamic and directed management of that workflow in a decentralized system. Each node maintains a value necessary for execution of the workflow, and includes code to populate that value. A workflow agent manages the population of the values according to an identified dependency structure for the nodes relative to the workflow. As changes are made to the workflow, the workflow agent ensures that values and dependencies of the nodes stay up-to-date. Each node retains historic values, which enables the workflow agent to query several states of the workflow throughout time as changes are made thereto. The dynamic management of the nodes improves the responsiveness of the system to changes, thereby improving computational efficiency.

Abstract: Techniques and systems are described to model and extract knowledge from images. A digital medium environment is configured to learn and use a model to compute a descriptive summarization of an input image automatically and without user intervention. Training data is obtained to train a model using machine learning in order to generate a structured image representation that serves as the descriptive summarization of an input image. The images and associated text are processed to extract structured semantic knowledge from the text, which is then associated with the images. The structured semantic knowledge is processed along with corresponding images to train a model using machine learning such that the model describes a relationship between text features within the structured semantic knowledge. Once the model is learned, the model is usable to process input images to generate a structured image representation of the image.

Abstract: Techniques and systems are described to model and extract knowledge from images. A digital medium environment is configured to learn and use a model to compute a descriptive summarization of an input image automatically and without user intervention. Training data is obtained to train a model using machine learning in order to generate a structured image representation that serves as the descriptive summarization of an input image. The images and associated text are processed to extract structured semantic knowledge from the text, which is then associated with the images. The structured semantic knowledge is processed along with corresponding images to train a model using machine learning such that the model describes a relationship between text features within the structured semantic knowledge. Once the model is learned, the model is usable to process input images to generate a structured image representation of the image.

Abstract: A system and method for currency validation of a bank note with a radio frequency identification device therein utilizes a computer, server and communication link and a smartphone including an RFID reader, transmitter/receiver and an internet connection. A bank note is issued with a value, a serial number and a secret seed message that is also saved on the issuer's server. A tamper proof RFID mu-chip is embedded in the currency note and includes the value, serial number, plus the secret message for making a calculation. The smartphone reads the information on the chip and requests an issuer/authenticator to validate the note. The issuer/authenticator transmits a challenge and the mu-chip calculates an answer that is sent to the issuer/authenticator. An approval or disapproval is then sent to the smartphone.

Abstract: Systems and methods for One-Time Password (OTP) authentication with infinite nested hash chains are described. In one aspect, a methodology includes a client device that provides a one-time password (OTP) authentication server with certain registration information. The client device generates, via the OTP authentication server, an authenticated OTP with infinite nested hash chains, These generating operations use a first hash function (hA (?)) for updating a seed chain, a second hash function (hB (•)) for OTP production, an OTP seed number stOTP for a tth authentication, and two authentication seeds of numbers s2t?1Auth and s2tAuth, for the tth authentication.

Abstract: A system and method for currency validation of a bank note with a radio frequency identification device therein utilizes a computer, server and communication link and a smartphone including an RFID reader, transmitter/receiver and an internet connection. A bank note is issued with a value, a serial number and a secret seed message that is also saved on the issuer's server. A tamper proof RFID mu-chip is embedded in the currency note and includes the value, serial number, plus the secret message for making a calculation. The smartphone reads the information on the chip and requests an issuer/authenticator to validate the note. The issuer/authenticator transmits a challenge and the mu-chip calculates an answer that is sent to the issuer/authenticator. An approval or disapproval is then sent to the smartphone.

Abstract: A new approach for building a stress-sensing rosette capable of extracting the six stress components and the temperature is provided, and its feasibility is verified both analytically and experimentally. The approach can include varying the doping concentration of the sensing elements and utilizing the unique behaviour of the shear piezoresistive coefficient (?44) in n-Si.

Abstract: Systems and methods for One-Time Password (OTP) authentication with infinite nested hash chains are described. In one aspect, a methodology includes a client device that provides a one-time password (OTP) authentication server with certain registration information. The client device generates, via the OTP authentication server, an authenticated OTP with infinite nested hash chains, These generating operations use a first hash function (hA (?)) for updating a seed chain, a second hash function (hB (•)) for OTP production, an OTP seed number stOTP for a tth authentication, and two authentication seeds of numbers s2t?1Auth and s2tAuth, for the tth authentication.

Abstract: A process for converting tryptophan into kynurenine. The conversion of tryptophan into kynurenine is carried out by irradiating a substance comprising tryptophan with electromagnetic radiation comprising waves with wavelength in the range of 10 nanometer to 750 nanometer.

Abstract: Women over 40 years and those who had ovarian problems suffer from low pregnancy rate after Assisted Reproduction Technology (ART) procedure due to immature oocytes. According to the invention a mixture is added to these oocytes. This mixture consists of two substances: Substance 1 which has the ability of stimulating cell proliferation in vitro by increasing the oxygen uptake of the cell and substance 2 which is any of the most used media in ART laboratories. Substance 1 is protein-free haemodialysate of calves blood. The created mixture in more than one concentration succeeded in complete oocytes maturation from immature to complete matured ones, able to be injected and fertilized by sperm. A second aspect of the invention is the use of the mixture to increase motility of sperm by 30% when sperm is incubated before Intrauterine Insemination (IUI).

Abstract: A process for treating organic compounds includes providing a composition which includes a substantially mesoporous structure of refractory oxide containing at least 97% by volume of pores having a pore size ranging from about 15 ? to about 30 ? and having a micropore volume of at least about 0.01 cc/g, wherein the mesoporous structure has incorporated therewith at least about 0.02% by weight of at least one catalytically and/or chemically active heteroatom selected from the group consisting of Al, Ti, V, Cr, Zn, Fe, Sn, Mo, Ga, Ni, Co, In, Zr, Mn, Cu, Mg, Pd, Pt and W, and the catalyst has an X-ray diffraction pattern with one peak at 0.3° to about 3.5° at 2 theta (?). The catalyst is contacted with an organic feed under reaction conditions wherein the treating process is selected from alkylation, acylation, oligomerization, selective oxidation, hydrotreating, isomerization, demetalation, catalytic dewaxing, hydroxylation, hydrogenation, ammoximation, isomerization, dehydrogenation, cracking and adsorption.

Abstract: A process for treating organic compounds includes providing a composition which includes a substantially mesoporous structure of silica containing at least 97% by volume of pores having a pore size ranging from about 15 ? to about 30 ? and having a micropore volume of at least about 0.01 cc/g, wherein the mesoporous structure has incorporated therewith at least about 0.02% by weight of at least one catalytically and/or chemically active heteroatom selected from the group consisting of Al, Ti, V, Cr, Zn, Fe, Sn, Mo, Ga, Ni, Co, In, Zr, Mn, Cu, Mg, Pd, Pt and W, and the catalyst has an X-ray diffraction pattern with one peak at 0.3° to about 3.5° at 2?. The catalyst is contacted with an organic feed under reaction conditions wherein the treating process is selected from alkylation, acylation, oligomerization, selective oxidation, hydrotreating, isomerization, demetalation, catalytic dewaxing, hydroxylation, hydrogenation, ammoximation, isomerization, dehydrogenation, cracking and adsorption.