Abstract: A system generates a first nodal data structure based on transaction data from a first time period, wherein the first nodal data structure comprises a plurality of nodes representing entities and edges connecting the nodes, wherein each edge comprises a first date feature indicating a first transaction date and a last date feature indicating a last transaction date between entities represented by connected nodes. The system identifies a slicing window corresponding to a portion of the first time period to be discarded. For each edge having the first date feature falling within the slicing window, the system updates the first date feature of the edge in the first nodal data structure to match the last date feature.

Abstract: A recombinant vector, a lentivirus, a lung-exempt MSLN CAR-T cell, and an anti-tumor agent are provided. The recombinant vector includes a first nucleotide sequence, a second nucleotide sequence, and a third nucleotide sequence, the first nucleotide sequence encodes a mesothelin (MSLN)-binding domain, the second nucleotide sequence encodes a leukocyte immunoglobulin-like receptor (LIR-1), and the third nucleotide sequence specifically binds to a lung-highly-expressed molecule. The lentivirus is constructed using the recombinant vector. The lung-exempt MSLN CAR-T cell is constructed using the recombinant vector or the lentivirus.

Abstract: Disclosed are blocking peptides and related methods, formulations, and compositions, pertaining to the field of biomedicine. Based on the regulatory mechanism by which the negative regulator TGF-? modulates the transport and degradation of STING, the use of AP3D1 as a drug target for in vitro screening of blocking agents is provided to identify the S9 regulatory site and the R26 regulatory site of AP3D1. Corresponding blocking peptides targeting the S9 regulatory site and the R26 regulatory site, respectively, were synthesized to specifically inhibit AP3D1-mediated inactivation of STING signaling by tumor microenvironment factors, thereby blocking at least one of the S9 regulatory site and the R26 regulatory site and effectively restricting STING transport and degradation.

Abstract: A PARP inhibitor-tolerant CAR-T cell and its construction method are provided. A sequence of sgRNA for targeted editing PARP1 gene in CAR-T cells includes sg-D45, sg-S588, or sg-G745. The construction method includes using a cytosine base editor to introduce S588F, G745K and/or D45N mutations into the PARP1 proteins in CAR-T cells with the sgRNA, significantly increasing the tolerance of the CAR-T cells to PARP inhibitors and allowing the CAR-T cells to work synergistically with the PARP inhibitors, thereby maximizing the anti-tumor effect.

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: 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: 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.