Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform: tracking touchpoints by a user over a first time period; after receiving an order, determining, using a machine-learning model, a respective contribution of each of the touchpoints, wherein the machine-learning model is trained to predict a probability of the user placing the order during a second time period based on an input feature vector representing a set of touchpoints; and allocating a respective percentage of credit for the order to the each of the touchpoints based on the respective contributions of the each of the touchpoints. Other embodiments are disclosed.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform extracting meta features for an item to generate sparse feature embeddings for the item; reducing, using a multilayer perceptron, a dimension of the sparse feature embeddings to generate a representation vector for the meta features; extracting, using a recurrent neural network, sequential data from dense traffic features for the item over a period of time; and inputting the representation vector for the meta features and the sequential data from the dense traffic features into a multilayer neural network with a rectified linear unit (ReLU) activation function and a scoring layer to generate one or more performance metrics for the item. Other embodiments are disclosed.

Abstract: Provided is a preparation process of diazomethane. The preparation process includes: step S1, taking N-methylurea as a raw material to continuously prepare, in a continuous reactor, a first product system containing N-methyl-N-nitrosourea; step S2, performing continuous extraction and continuous back-extraction on the first product system to obtain an N-methyl-N-nitrosourea solution; step S3, enabling the N-methyl-N-nitrosourea solution to continuously react with an alkaline solution in a continuous reactor to obtain a second product system containing the diazomethane; and step S4, performing continuously liquid separation, water freezing and removal on the second product system, to obtain the diazomethane.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving one or more objectives and one or more constraints from a user electronic device of a user; generating a combined objective using the one or more objectives; calculating, using the combined objective, a return per click for an advertisement campaign; determining one or more bids based on (a) the return per click for the advertisement campaign and (b) a return on advertising spend for the advertisement campaign; estimating, using a first predictive algorithm and the one or more bids, an average cost per click; estimating an expected number of clicks for the advertisement campaign based on the average cost per click; determining a total amount used of the one or more constraints for the one or more bids based on the expected number of clicks for the advertisement campaign; and when the total amount used of the on

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform: receiving, from a user, one or more pre-designed test parameters of an experiment; generating an audience list table comprising one or more identifications (IDs), wherein the one or more IDs link to one or more identification (ID) levels; removing, using identification (ID) mapping, each member of the audience who has an ID that does not satisfy one or more constraints of the one or more ID levels based on the one or more pre-designed test parameters; evaluating, using an evaluation algorithm, whether bias exists for each treatment group of two or more treatment groups; launching the experiment on the members remaining in the audience; and causing at least one result of the experiment to be displayed. Other embodiments are disclosed.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: determining one or more similarity scores between at least two of: a first item in a hierarchical categorization containing items; a category in the hierarchical categorization; or a topic; filtering out at least one potential match from one or more potential matches using the one or more similarity scores; ranking the one or more potential matches, as filtered, using the one or more similarity scores; re-ranking the one or more potential matches, as filtered, using additional data about at least one of: the first item in the hierarchical categorization containing the items; the category in the hierarchical categorization; or the topic; and inserting one or more hyperlinks into an anchor webpage, the one or more hyperlinks configured to navigate a user from an anchor webpage to one or more potential match webpages associ

Abstract: A testing device for identifying an antigen or antibody within a biofluid sample including: a substrate having a hydrophilic surface thereon; the surface including a collection zone, and at least one detection zone extending therefrom; wherein the biofluid sample can be mixed with a specific antigen or antibody, and deposited on the collection zone and transferred by capillary action to the detection zone; the antigen or antibody in the biofluid sample reacting with an appropriate said antibody or antigen thereby resulting in a visual indication within the detection zone.

Abstract: A memory device includes an input pad, a first rank, a second rank, a first voltage detector, and a second voltage detector. The input pad is configured to receive an input voltage. The first voltage detector is coupled to the input pad, the first voltage detector is configured to receive the input voltage, and the first voltage detector is configured to transmit the input voltage to the first rank. The second voltage detector is coupled to the first voltage detector through a first through-silicon via, the second voltage detector is configured to receive the input voltage, and the second voltage detector is configured to transmit the input voltage to the second rank according to a control signal transmitted from the first voltage detector through the first voltage detector, so as to decide a state of the second rank.

Abstract: Embodiments herein relate to a method performed by a network node (110) for handling signal quality variations for a UE (120). The network node (110) predicts a future signal quality variation indicative of a path of movement for a second UE (120b) being served by 5the network node (110). The predicting is based on historical data of previous signal quality variations for one or more first UEs (120a) having been served by the network node (110). The historical data of previous signal quality variations is indicative of a path of movement of the one or more first UEs (120a). The network node (110) determines to change a network configuration for the second UE (120b) based on the predicted signal10quality variation. The network node (110) initiates the change of the network configuration for the second UE (120b). Embodiments herein further relate to a method performed by a UE (120a, 120b) for handling signal quality variations for the UE (120a, 120b).

Abstract: A memory device includes an input pad, a first rank, a second rank, a first voltage detector, and a second voltage detector. The input pad is configured to receive an input voltage. The first voltage detector is coupled to the input pad, the first voltage detector is configured to receive the input voltage, and the first voltage detector is configured to transmit the input voltage to the first rank. The second voltage detector is coupled to the first voltage detector through a first through-silicon via, the second voltage detector is configured to receive the input voltage, and the second voltage detector is configured to transmit the input voltage to the second rank according to a control signal transmitted from the first voltage detector through the first voltage detector, so as to decide a state of the second rank.

Abstract: A method performed by a wireless device for configured Minimization of Drive Test, MDT, reporting includes obtaining a MDT configuration. The obtained MDT configuration is for one or more of immediate MDT and logged MDT. The MDT configuration is for performing one or more measurements associated with a specific reference signal type, beam level, or positioning assistance data, and the obtained MDT configuration comprising one or more of: a reportOnLeaveconfiguration; a reportQuantityRS-Indexes configuration; a maxNrofRS-IndexesToReport configuration: and an rsType configuration. The wireless device performs the one or more measurements according to the MDT configuration and provides an MDT report based on the one or more measurements.

Abstract: The invention introduces a non-transitory computer program product for adjusting operating frequencies when executed by a processing unit of a device, containing program code to: collect an interface-activity parameter comprising information about data transmissions on a host access interface and/or a flash access interface; select one from multiple frequencies according to the interface-activity parameter; and drive a clock generator to output a clock signal at the selected frequency, thereby enabling the host access interface and/or the flash access interface to operate at an operating frequency.

Abstract: A method of enabling a publisher mesh node to update a number of hops that is to be used for communication between said publisher mesh node and a subscriber mesh node in a wireless mesh network, wherein said method comprises the steps of periodically receiving, by said subscriber mesh node, broadcasted messages from said publisher mesh node, wherein said broadcasted messages comprise a number of hops that said broadcasted messages may traverse in said mesh network, determining, by said subscriber mesh node, that one or more periodically broadcasted messages have not been received, transmitting, by said subscriber mesh node in reply to said determination that one or more periodically broadcasted messages have not been received, a probe message to said publisher mesh node, wherein said probe message comprises a number of hops corresponding to a periodically broadcasted message that was received by said subscriber mesh node.

Abstract: The present invention provides a method for determining hydrogen sulfide (H2S) by headspace single-drop liquid phase microextraction and intelligent device colorimetry, which comprises: taking a silver-gold core-shell triangular nanosheet (Ag@Au TNS) as a nanodetection probe, in combination with an analysis method of headspace single-drop microextraction (HS-SDME), specifically extracting H2S volatilized from a sample to be detected by the nanodetection probe, and detecting H2S in the extracted sample with the help of the photographing function of an intelligent device and a color picking software. Compared with the prior art, the present invention adopts intelligent device colorimetry, with the limit of detection of about 65 nM and the linear range of 0.1-100 ?M, and the established method can be applied to the determination of H2S in actual samples such as egg white, milk and other opaque samples, and has the advantages of few procedures, simple operation, high detection efficiency and the like.

Abstract: A method including receiving a total budget amount for a predetermined time period. The method also can include determining a respective spend amount for the predetermined time period for each respective node of nodes of a layered allocation tree based a marginal return on advertisement spend (MROAS) value and a respective performance curve for the each respective node. The method additionally can include determining a total spend amount based on the respective spend amounts of the nodes of the layered allocation tree. The method further can include, when the total spend amount is not within a threshold value of the total budget amount, iteratively adjusting the MROAS value to re-determine the respective spend amounts for the nodes and re-determine the total spend amount, based on the MROAS value, as adjusted, until the total spend amount is within the threshold value.

Abstract: The present disclosure provides an inflatable kayak. The inflatable kayak includes an inflatable floor having two ends defined upward; two inflatable gunwales arranged on the left and right sides of the inflatable floor, the height of the upper edge at both ends of the inflatable gunwale being higher than the height at the middle of the inflatable gunwale, allowing the height of the prow and the stern of the inflatable kayak to be no less than the height at the middle of the inflatable kayak; and a reinforcing assembly including a bottom reinforcing layer, a prow hatchway cover, and a stern hatchway cover, the bottom reinforcing layer at least covering the joints of the inflatable floor and the two inflatable gunwales. The prow hatchway cover connects the two inflatable gunwales at the prow, and the stern hatchway cover connects the two inflatable gunwales at the stern.

Abstract: An information processing apparatus includes a processor to input each sample image into feature extracting components to obtain at least two features of the sample image, and to cause a classifying component to calculate a classification loss of the sample image based on the at least two features; extract, from each pair of features, a plurality of sample pairs for calculating mutual information between each pair of features; input the plurality of sample pairs into a machine learning architecture corresponding to each pair of features, to calculate an information loss between each pair of features.

Abstract: Disclosed is a display device, a manufacturing method thereof and a display apparatus. The display device includes a carrier having a first surface and a second surface opposite to each other, and at least one nanotube in the carrier. Each nanotube includes a tube wall and a receiving cavity surrounded by the tube wall. The receiving cavity includes a first open end at the first surface and a second open end at the second surface. The display device further includes a first electrode at the first open end, a second electrode at the second open end and a light-emitting layer between the first electrode and the second electrode.

Abstract: According to certain embodiments, a method performed by a Radio Access Network, RAN, node includes transmitting a data collection request to a network control entity. The data collection request indicates a request to start data collection within a Radio Access Network, RAN. The method includes receiving a data collection response from the network control entity. The data collection response indicates whether the RAN can start the data collection procedure. In response to the data collection response indicating that the RAN can start the data collection procedure, the method includes transmitting a data collection configuration message initializing data collection by at least one User Equipment, UE.