Abstract: A system includes one or more processors to generate a node graph; determine a first node of the node graph comprises a fraudulent flag indicating a first entity of the first node facilitated a fraudulent transaction; responsive to the determination, identify a set of nodes of the node graph responsive to each node of the set of nodes having a direct transaction edge connection with the first node within the node graph or an indirect transaction edge connection with the first node via at least one node directly connected with the first node; generate a fraudulent flag in a subset of the set of nodes responsive to determining each node in the subset satisfies a matching policy; and generate a record identifying the first node and each node of the subset of nodes.

Abstract: Methods and systems for processing a financial instrument, such as a check, are provided. An example method includes performing a text extraction process on a check image to obtain check textual information, and decoding an intelligent mail barcode (IMB) in the check image to obtain a character code. The method further includes utilizing the character code to extract encoded check information including a payee ZIP code from the IMB. The method also includes performing a fraud detection process on the check image based on at least one of (1) scores generated during the text extraction process, or (2) inconsistency between the check textual information and the encoded check information.

Abstract: Methods and systems for processing a financial instrument, such as a check, are provided. An example method includes performing a text extraction process on a check image to obtain check textual information, and decoding an intelligent mail barcode (IMB) in the check image to obtain a character code. The method further includes utilizing the character code to extract encoded check information including a payee ZIP code from the IMB. The method also includes performing a fraud detection process on the check image based on at least one of (1) scores generated during the text extraction process, or (2) inconsistency between the check textual information and the encoded check information.

Abstract: Mutual authentication ana encryption key generation for secure wireless communication between an implantable medical device and an external device employs asymmetric cryptography. A method of conducting secure wireless communication between an implantable medical device and an external device includes conducting a mutual authentication procedure that employs asymmetric cryptography via wireless communication between the implantable medical device and the external device. A shared encryption key is generated by the external device. The shared encryption key is generated by the implantable medical device. Wireless communication is conducted between the implantable medical device and the external device via wireless transmissions encrypted via the shared encryption key.

Abstract: Methods and systems for processing a financial instrument, such as a check, are provided. An example method includes performing a text extraction process on a check image to obtain check textual information, and decoding an intelligent mail barcode (IMB) in the check image to obtain a character code. The method further includes utilizing the character code to extract encoded check information including a payee ZIP code from the IMB. The method also includes performing a fraud detection process on the check image based on at least one of (1) scores generated during the text extraction process, or (2) inconsistency between the check textual information and the encoded check information.

Abstract: A plasmid combination for preparing an extracellular vesicle loaded with a target protein or polypeptide, including a pCAG-GOI plasmid and a pMD2.G plasmid, where GOI refers to a gene sequence corresponding to the target protein or the polypeptide. The pCAG-GOI plasmid is a pCAG-cyclic GMP-AMP synthase (cGAS) gene plasmid, a pCAG-cyclization recombinase (Cre) gene plasmid and a combination thereof. An extracellular vesicle loaded with cyclic GMP-AMP synthase, cyclization recombinase or a combination thereof is provided, which is prepared by transfecting a cell with the plasmid combination. An application of the extracellular vesicle in the prevention or treatment of a cancer is further provided.

Abstract: A method includes receiving a first signal, wherein the first signal is an audio signal. The method further includes providing the first signal to a first comparison circuit. The method further includes providing the first signal to a second comparison circuit. The method further includes receiving, from the first comparison circuit, a first comparison signal. The method further includes receiving, from the second comparison circuit, a second comparison signal. The method further includes providing a wake-up signal to a processing device based on the first comparison signal and the second comparison signal.

Abstract: Systems and methods for autonomous device procurement are disclosed. A system can obtain point-of-sale (POS) terminal demand data and execute a machine-learning model to generate a forecasted inventory demand for POS terminal devices. The system can allocate the forecasted demand among devices based on ratios, simulate demand instances, calculate losses, and modify the allocated demand based on the losses. The system can generate a procurement plan based on the modified demand. The system may autonomously procure devices according to the plan. The forecasted demand may comprise a probabilistic distribution for multiple future time periods. The system may calculate a conditional value at risk (CVaR) based on the losses and generate the plan based on the CVaR.

Abstract: A system includes one or more processors to generate a node graph; determine a first node of the node graph comprises a fraudulent flag indicating a first entity of the first node facilitated a fraudulent transaction; responsive to the determination, identify a set of nodes of the node graph responsive to each node of the set of nodes having a direct transaction edge connection with the first node within the node graph or an indirect transaction edge connection with the first node via at least one node directly connected with the first node; generate a fraudulent flag in a subset of the set of nodes responsive to determining each node in the subset satisfies a matching policy; and generate a record identifying the first node and each node of the subset of nodes.

Abstract: One or more computing devices, systems, and/or methods are provided. In an example of the techniques presented herein, a method is provided. The method includes generating a bias signal based on an index, connecting a first amplifier of a first programmable analog block to a sensor terminal, and amplifying a sensor signal received at the sensor terminal in the first amplifier based on the bias signal to generate an amplified sensor signal. The amplified sensor signal is sampled to generate an output sample. Responsive to detecting a limit violation associated with the output sample, the index is modified to generate a modified index and the bias signal is adjusted based on the modified index.

Abstract: A method and a terminal for continuous expression-transformation of pan-maps based on continuity features, and the method includes: obtaining pan-map type cases, classifying and categorizing the pan-map type cases to obtain a plurality of map types, and constructing a pan-map classification system; extracting continuous transformation association information between the plurality of map types according to the pan-map classification system, and constructing continuous transformation rules of the pan-map; performing, based on the continuous transformation rules of the pan-map, continuous expression-transformation processing on a plurality of pan-map types, and outputting continuous expression-transformation results of the plurality of pan-map types. The method can enhance the information richness and continuity of the map, and improve efficiency of information association, integration and transmission.

Abstract: A method comprises storing a plurality of accounts and generating a hierarchical data structure from the plurality of accounts by: identifying a first set of accounts and a second set of accounts responsive to the first set of accounts and the second set of accounts satisfying a first set of rules; linking the first set of accounts to a first entity profile and the second set of accounts to a second entity profile; and responsive to the first plurality of profile values and the second plurality of profile values of the second entity profile satisfying a second set of rules, linking the first entity profile and the second entity profile to a group entity profile.

Abstract: One or more computing devices, systems, and/or methods are provided. In an example of the techniques presented herein, a method is provided. The method includes generating a bias signal based on an index, connecting a first amplifier of a first programmable analog block to a sensor terminal, and amplifying a sensor signal received at the sensor terminal in the first amplifier based on the bias signal to generate an amplified sensor signal. The amplified sensor signal is sampled to generate an output sample. Responsive to detecting a limit violation associated with the output sample, the index is modified to generate a modified index and the bias signal is adjusted based on the modified index.

Abstract: Methods and systems for processing a financial instrument, such as a check, are provided. An example method includes performing a text extraction process on a check image to obtain check textual information, and decoding an intelligent mail barcode (IMB) in the check image to obtain a character code. The method further includes utilizing the character code to extract encoded check information including a payee ZIP code from the IMB. The method also includes performing a fraud detection process on the check image based on at least one of (1) scores generated during the text extraction process, or (2) inconsistency between the check textual information and the encoded check information.

Abstract: A method comprises storing a plurality of accounts and generating a hierarchical data structure from the plurality of accounts by: identifying a first set of accounts and a second set of accounts responsive to the first set of accounts and the second set of accounts satisfying a first set of rules; linking the first set of accounts to a first entity profile and the second set of accounts to a second entity profile; and responsive to the first plurality of profile values and the second plurality of profile values of the second entity profile satisfying a second set of rules, linking the first entity profile and the second entity profile to a group entity profile.

Abstract: A system includes one or more processors to generate a node graph; determine a first node of the node graph comprises a fraudulent flag indicating a first entity of the first node facilitated a fraudulent transaction; responsive to the determination, identify a set of nodes of the node graph responsive to each node of the set of nodes having a direct transaction edge connection with the first node within the node graph or an indirect transaction edge connection with the first node via at least one node directly connected with the first node; generate a fraudulent flag in a subset of the set of nodes responsive to determining each node in the subset satisfies a matching policy; and generate a record identifying the first node and each node of the subset of nodes.

Abstract: The present disclosure belongs to the technical field of image processing, and discloses an ultrasound image processing method and system for ovarian cancer, a medium, a device, and a terminal. The method includes: obtaining pelvic ultrasound images and relevant clinical data of a patient; performing pelvic ultrasound image and relevant clinical information cleaning and pelvic ultrasound image quality control; and constructing an image classification model. Areas under the curve (AUCs) of performance of a deep convolutional neural network (DCNN) model based on the pelvic ultrasound image of the present disclosure for distinguishing ovarian cancer and non-cancer in an internal validation set and two external validation sets are 0.911, 0.870, and 0.831 respectively, which are superior to an average of diagnosis of ovarian cancer of 35 radiologists in the internal and external validation sets. An AUC of the DCNN for diagnosis of borderline ovarian tumors is 0.821.

Abstract: The present disclosure relates to establishing secure communication between a dialysis machine and medical equipment. In an example, a dialysis machine includes a control unit configured to establish a short-range wireless connection with external medical equipment. The control unit establishes the short-range wireless connection by causing a user interface to display a prompt to enter a passkey associated with medical equipment, using the received passkey to pair with the medical equipment, and creating a new bonding table or writing to an empty bonding table using the passkey. The control unit is also configured to generate a shared key using the passkey and at least one predetermined criterion and use the shared key to authenticate with the medical equipment. When authentication with the medical equipment is successful, the control unit enables data communication using the short-range connection with the medical equipment.

Abstract: A method comprises storing a plurality of accounts and generating a hierarchical data structure from the plurality of accounts by: identifying a first set of accounts and a second set of accounts responsive to the first set of accounts and the second set of accounts satisfying a first set of rules; linking the first set of accounts to a first entity profile and the second set of accounts to a second entity profile; and responsive to the first plurality of profile values and the second plurality of profile values of the second entity profile satisfying a second set of rules, linking the first entity profile and the second entity profile to a group entity profile.

Abstract: A method includes receiving a first signal, wherein the first signal is an audio signal. The method further includes providing the first signal to a first comparison circuit. The method further includes providing the first signal to a second comparison circuit. The method further includes receiving, from the first comparison circuit, a first comparison signal. The method further includes receiving, from the second comparison circuit, a second comparison signal. The method further includes providing a wake-up signal to a processing device based on the first comparison signal and the second comparison signal.