Abstract: A mobile processing system is disclosed for the removal of radioactive contaminants from nuclear process wastewater. The system is fully scalable, modular, and portable allowing the system to be fully customizable according to site-specific remediation requirements. It is designed to be both transported and operated from standard sized intermodal containers or custom designed enclosures for increased mobility between sites and on-site, further increasing the speed and ease with which the system may be deployed. Additionally, the system is completely modular wherein the various modules perform different forms or stages of wastewater remediation and may be connected in parallel and/or in series. Depending on the needs of the site, one or more different processes may be used. In some embodiments, one or more of the same modules may be used in the same operation.

Abstract: A mobile processing system is disclosed for the removal of radioactive contaminants from nuclear process wastewater. The system is fully scalable, modular, and portable allowing the system to be fully customizable according to site-specific remediation requirements. It is designed to be both transported and operated from standard sized intermodal containers or custom designed enclosures for increased mobility between sites and on-site, further increasing the speed and ease with which the system may be deployed. Additionally, the system is completely modular wherein the various modules perform different forms or stages of wastewater remediation and may be connected in parallel and/or in series. Depending on the needs of the site, one or more different processes may be used. In some embodiments, one or more of the same modules may be used in the same operation.

Abstract: Artificial-intelligence-based river information system. In an embodiment, a first training dataset is used to train a travel time prediction model to predict a travel time along the waterway for a given trip. In addition, a second training dataset is used to train a river level prediction model to predict a river level along the waterway for a given time. For each of a plurality of trips, a request is received that specifies the trip and a time of the trip, and, in response to the request, the travel time prediction model is used to predict a travel time for the trip, and the river level prediction model is used to predict a river level of the waterway at one or more points along the trip. Then, a voyage plan is generated based on one or both of the predicted travel time and the predicted river level.

Abstract: Method for manufacturing a nickel-based alloy product, including: a step of supplying an ingot of a nickel-based alloy including at least one intermetallic phase, a first forging step of forging the ingot, during which the true strain rate is less than 1 s?1, a second forging step of forging the ingot, during which the true strain rate is greater than 1 s?1, and a step of static recrystallisation, after the second forging step, during which the ingot is exposed to a temperature of between 1000 and 1055° C. for a duration of between 30 minutes and 10 hours.

Abstract: The present disclosure provides systems and methods for computerized methods and systems for processing transaction disputes and processing transactions associated with compromised accounts. According to one exemplary method, a server receives, from a user device, an instruction for disputing a transaction associated with a user account. The server can initiate, based on a record of the transaction, a dispute investigation, and issue provisional credit to the user account for the transaction. Based on a transaction history associated with the user account, the server can determine a plurality of expected transactions associated with the user account and cause the determined expected transactions to be displayed on the user device. After receiving a transaction authorization for at least one of the plurality of expected transactions, the server can process payments for the at least one of the plurality of expected transactions, and generate a notification indicating a status of the dispute investigation.

Abstract: Predicting the storage capacities of water reservoirs is an important planning activity for effective conservation and water release practices. However, current state-of-the-art solutions are not generalizable to all water reservoirs. Accordingly, disclosed embodiments train a machine-learning model using a training dataset that comprises labeled feature vectors that each includes a time series of tuples and is labeled with the target value of at least one storage parameter for a water reservoir. Each tuple may comprise climate parameter(s), such as temperature, precipitation, and/or soil moisture, for the watershed of the water reservoir, and/or reservoir parameter(s), such as water level, water storage, storage capacity, water inflow, and/or water outflow of the water reservoir. The machine-learning model may be a recurrent neural network with long short-term memory, that is trained to predict the value of the storage parameter at least seven days into the future.

Abstract: A dialysis machine has a connection system (450) for connecting a dialysate supply source (40) to a dialysate delivery system (51). The connection system (450) has a first section (451), which has a conduit (4510) provided at one end with a first connection device (4511) to a first dialysate supply source, and provided at the other end with a second connection device (4512). A second section (452) has a conduit (4520) provided at one end with a connection device (4521) connectable to the second connection device (4512) of the first section (451), in order to allow a series connection of the first section and the second section. The first section (451) is disconnectable from the second section (452) so that, in the disconnected state of the first section (451) from the second section (452), The connection device (4521) of the second section (452) is connectable to a second dialysate supply source.

Abstract: The present disclosure provides systems and methods for computerized methods and systems for processing transaction disputes and processing transactions associated with compromised accounts. According to one exemplary method, a server receives, from a user device, an instruction for disputing a transaction associated with a user account. The server can initiate, based on a record of the transaction, a dispute investigation, and issue provisional credit to the user account for the transaction. Based on a transaction history associated with the user account, the server can determine a plurality of expected transactions associated with the user account and cause the determined expected transactions to be displayed on the user device. After receiving a transaction authorization for at least one of the plurality of expected transactions, the server can process payments for the at least one of the plurality of expected transactions, and generate a notification indicating a status of the dispute investigation.

Abstract: A mobile processing system is disclosed for the removal of radioactive contaminants from nuclear process waste water. The system is fully scalable, modular, and portable allowing the system to be fully customizable according the site-specific remediation requirements. It is designed to be both transported and operated from standard sized intermodal containers or custom designed enclosures for increased mobility between sites and on-site, further increasing the speed and ease with which the system may be deployed. Additionally, the system is completely modular wherein the various different modules perform different forms or stages of waste water remediation and may be connected in parallel and/or in series. Depending on the needs of the particular site, one or more different processes may be used. In some embodiments, one or more of the same modules may be used in the same operation.

Abstract: The present disclosure relates to a system and a method for assisting the piloting of an aircraft, said method comprising, during a flight phase of said aircraft, at least two steps of measuring at least two current values of at least two respective operating parameters of said aircraft. The method comprises, for each of said at least two operating parameters, the following steps: generating an item of digital data representative of a current value of this operating parameter; identifying a current range within which an index lies, each range from said at least two ranges of indices being associated with a specific display configuration of said item of digital data; and displaying said item of digital data on at least one page of symbologies according to said specific display configuration corresponding to said current range.

Abstract: Apparatus and method for mass distribution of content. A system for mass distribution of content includes a media server configured to receive content comprising a real-time broadcast of a live performance. The media server generates a content signal representative of the received content and a multicast network coupled to the media server encrypts the content signal and multiplies it to generate a multicast signal. The multicast signal, transmitted by a multicast network via the data communication network, comprises a plurality of encrypted unicast signals. One or more receivers are coupled to the multicast network via the data communication network and each receives one of the encrypted unicast signals of the multicast signal via the data communication network. Each of the one or more receivers decrypts the received unicast signal and broadcasts the decrypted unicast signal to one or more entertainment pods for consumption.

Abstract: Artificial-intelligence-based river information system. In an embodiment, a first training dataset is used to train a travel time prediction model to predict a travel time along the waterway for a given trip. In addition, a second training dataset is used to train a river level prediction model to predict a river level along the waterway for a given time. For each of a plurality of trips, a request is received that specifies the trip and a time of the trip, and, in response to the request, the travel time prediction model is used to predict a travel time for the trip, and the river level prediction model is used to predict a river level of the waterway at one or more points along the trip. Then, a voyage plan is generated based on one or both of the predicted travel time and the predicted river level.

Abstract: The invention relates to a dialysis machine comprising an arterial line (L1), a venous line (L2), a dialyser (100), a line for discharging (62) the dialysate, and a control unit (10) configured to perform a phase for rinsing the extracorporeal circuit by circulating physiological saline in the blood compartment of the dialyser and the arterial and venous lines, and a phase for eliminating air in the dialyser, which phase comprises stopping the circulation in the venous line (L2) and in the discharge line (62); and circulating dialysate from a dialysate supply source (40) through the blood compartment (12) and the arterial line (L1). The invention also relates to a method and a corresponding computer program product.

Abstract: Artificial-intelligence-based river information system. In an embodiment, a first training dataset is used to train a travel time prediction model to predict a travel time along the waterway for a given trip. In addition, a second training dataset is used to train a river level prediction model to predict a river level along the waterway for a given time. For each of a plurality of trips, a request is received that specifies the trip and a time of the trip, and, in response to the request, the travel time prediction model is used to predict a travel time for the trip, and the river level prediction model is used to predict a river level of the waterway at one or more points along the trip. Then, a voyage plan is generated based on one or both of the predicted travel time and the predicted river level.

Abstract: The present disclosure provides systems and methods for computerized methods and systems for processing transaction disputes and processing transactions associated with compromised accounts. According to one exemplary method, a server receives, from a user device, an instruction for disputing a transaction associated with a user account. The server can initiate, based on a record of the transaction, a dispute investigation, and issue provisional credit to the user account for the transaction. Based on a transaction history associated with the user account, the server can determine a plurality of expected transactions associated with the user account and cause the determined expected transactions to be displayed on the user device. After receiving a transaction authorization for at least one of the plurality of expected transactions, the server can process payments for the at least one of the plurality of expected transactions, and generate a notification indicating a status of the dispute investigation.

Abstract: The present disclosure provides systems and methods for computerized methods and systems for processing transaction disputes and processing transactions associated with compromised accounts. According to one exemplary method, a server receives, from a user device, an instruction for disputing a transaction associated with a user account. The server can initiate, based on a record of the transaction, a dispute investigation, and issue provisional credit to the user account for the transaction. Based on a transaction history associated with the user account, the server can determine a plurality of expected transactions associated with the user account and cause the determined expected transactions to be displayed on the user device. After receiving a transaction authorization for at least one of the plurality of expected transactions, the server can process payments for the at least one of the plurality of expected transactions, and generate a notification indicating a status of the dispute investigation.

Abstract: Apparatus and method for mass distribution of content. A system for mass distribution of content includes a media server configured to receive content comprising a real-time broadcast of a live performance. The media server generates a content signal representative of the received content and a multicast network coupled to the media server encrypts the content signal and multiplies it to generate a multicast signal. The multicast signal, transmitted by a multicast network via the data communication network, comprises a plurality of encrypted unicast signals. One or more receivers are coupled to the multicast network via the data communication network and each receives one of the encrypted unicast signals of the multicast signal via the data communication network. Each of the one or more receivers decrypts the received unicast signal and broadcasts the decrypted unicast signal to one or more entertainment pods for consumption.

Abstract: A mobile processing system is disclosed for the removal of radioactive contaminants from nuclear process wastewater. The system is fully scalable, modular, and portable allowing the system to be fully customizable according to site-specific remediation requirements. It is designed to be both transported and operated from standard sized intermodal containers or custom designed enclosures for increased mobility between sites and on-site, further increasing the speed and ease with which the system may be deployed. Additionally, the system is completely modular wherein the various modules perform different forms or stages of wastewater remediation and may be connected in parallel and/or in series. Depending on the needs of the site, one or more different processes may be used. In some embodiments, one or more of the same modules may be used in the same operation.

Abstract: Artificial-intelligence-based river information system. In an embodiment, a first training dataset is used to train a travel time prediction model to predict a travel time along the waterway for a given trip. In addition, a second training dataset is used to train a river level prediction model to predict a river level along the waterway for a given time. For each of a plurality of trips, a request is received that specifies the trip and a time of the trip, and, in response to the request, the travel time prediction model is used to predict a travel time for the trip, and the river level prediction model is used to predict a river level of the waterway at one or more points along the trip. Then, a voyage plan is generated based on one or both of the predicted travel time and the predicted river level.

Abstract: Artificial-intelligence-based river information system. In an embodiment, a first training dataset is used to train a travel time prediction model to predict a travel time along the waterway for a given trip. In addition, a second training dataset is used to train a river level prediction model to predict a river level along the waterway for a given time. For each of a plurality of trips, a request is received that specifies the trip and a time of the trip, and, in response to the request, the travel time prediction model is used to predict a travel time for the trip, and the river level prediction model is used to predict a river level of the waterway at one or more points along the trip. Then, a voyage plan is generated based on one or both of the predicted travel time and the predicted river level.