Abstract: Methods and apparatus for scaling in bioprocess systems are disclosed. An example apparatus for bioprocess scaling includes at least one memory to store instructions, and processor circuitry to execute the instructions to identify an operating parameter of a target bioreactor, determine an upper boundary or a lower boundary defining a design space for at least one bioreactor process parameter to match at least one of a first target parameter range or a second target parameter range based on the operating parameter, simulate changes in the first target parameter range or a second target parameter range based on an adjustment to the upper boundary or the lower boundary in the design space, and configure the target bioreactor using output obtained from the adjustment to the upper boundary or the lower boundary to identify a match between the first target parameter range or the second target parameter range.

Abstract: The present disclosure relates to a BCG based therapeutic agent using a BCG strain that overexpresses the STING agonist, c-di-AMP. This BCG strain, called BCG-disA-OE, enhances the elevated trained immunity of macrophages and promotes early anti-viral Type I interferon responses in a subject, providing protection against viral infections such as primary respiratory infections and SARS-CoV-2 infection.

Abstract: A system and computer-implemented method for identifying fraudulent healthcare providers receives raw claims data from one or more data sources. The raw claims data includes claims associated with a selected healthcare provider. Each of the claims includes one or more claim lines. A first model is executed on the raw claims data. The first model determines a first score for the healthcare provider. A second model is executed on the raw claims data. The second model determines a second score for the healthcare provider. In addition, a third model is executed on the raw claims data. The third model determines a third score for the healthcare provider. A final provider-level risk score is determined for the healthcare provider based on the first, second, and third scores.

Abstract: An aspect of the present disclosure is drawn to a method for managing a payment network, including: learning a transaction pattern of an account over time; generating a transfer function based on the transaction pattern; predicting information for the account based on the density function; changing a state of the account based on the predicted information; and automatically transmitting a notification of a feature to an owner of the account based on the changing of the state of the account, wherein the transfer function is a probability density function of a neural network and wherein the information includes a time of a future transaction linked to a correlated marker of the payment network.

Abstract: Apparatuses, methods, and systems for increasing a spatial resolution of gridded spatial-temporal data on weather and climate-related physical variables are disclosed.

Abstract: The present disclosure provides PD-1 binding proteins, particularly anti-PD-1 antibodies, or antigen-binding portions thereof, that specifically bind PD-1 and uses thereof. In one embodiment, the anti-PD-1 antibody comprises an antigen binding portion that binds a human PD-1 epitope or a non-human PD-1 epitope. Various aspects of the anti-PD-1 antibodies relate to antibody fragments, single-chain antibodies, pharmaceutical compositions, nucleic acids, recombinant expression vectors, host cells, and methods for preparing and using such anti-PD-1 antibodies. Methods for using the anti-PD-1 antibodies include in vitro and in vivo methods for binding PD-1, blocking interaction between PD-1 and PD-L1, detecting PD-1, and treating diseases associated with PD-L1 over-expression or PD-L1 detrimental expression.

Abstract: A method includes causing a graphical user interface to be output by a display. The graphical user interface includes first, second and third user input fields configured to receive a first user input identifying a network service provider name identifying a selected network service provider associated with providing one or more network services to a communication network, a second user input identifying a selected wireless domain, and a third user input identifying a selected wireless technology. The method also includes processing the selected network service provider name, the selected wireless domain and the selected wireless technology to generate an illustration profile. The method further includes processing an instruction to view system data associated with the one or more network service provided to the communication network to cause a graphical view of the system data to be displayed based on the illustration profile.

Abstract: The present disclosure provides fully human anti-LAG3 IgG class antibodies engineered to have amino acid sequence in their heavy chain variable region and/or light chain variable region to improve antigen binding, cell binding, T cell activation and cytokine release capabilities.

Abstract: Described are methods of suppressing the expression of myeloid-derived suppressor cells (MDSCs), M2 macrophages, and Treg cells in a tumor and inducing the expression of macrophages, dendritic cells (DCs), and T effector cells in a tumor in a subject. A pharmaceutical composition comprising a strain of Mycobacteria including an expression vector of the present invention is administered to a subject.

Abstract: Computer implemented method for detecting procedure and diagnosis code anomalies in provider service data. The method includes generating a co-occurrence adjacency matrix from service provider data of a plurality of providers. The adjacency matrix includes counts of the number of co-occurrences of a plurality of diagnoses and a plurality of procedures in the service provider data. A plurality of graph node embeddings is created based on the adjacency matrix. Each of the plurality of graph node embeddings is assigned to one of a plurality of clusters. A health insurance claim is evaluated for excessive billing based on how many of the plurality of clusters is represented in the claim.

Abstract: A generative adversarial network and a reinforcement learning system are combined to generate phishing emails with adaptive complexity. A plurality of phishing emails are obtained from a trained generative adversarial neural network, including a generator neural network and a discriminator neural network. A subset of phishing emails is selected, from the plurality of phishing emails, using a reinforcement learning system trained on user-specific behavior. One or more of the subset of phishing emails are sent to a user email account associated with a particular user. The reinforcement learning system is then adjusted based on user action feedback to the one or more of the subset of phishing emails.

Abstract: Embodiments provide methods and systems for dynamic spend policy optimization. Method performed by server system includes receiving payment authorization request for payment transaction initiated by cardholder from acquirer. The payment authorization request includes transaction data. The method includes determining spend variables associated with cardholder based on transaction data and identifying at least one cardholder segment from a plurality of cardholder segments based on the spend variables and a clustering model. The at least one cardholder segment is associated with cardholder. The method includes accessing spend policy rules applicable to the payment transaction based on the transaction data and determining optimal spend threshold values corresponding to the spend policy rules applicable to the payment transaction based on the at least one identified cardholder segment and a reinforcement learning (RL) model.

Abstract: A method includes causing, by a processor, a graphical user interface (GUI) to be output by a display. The GUI includes a first user input field identifying a target key performance indicator (KPI) associated with a network. A second user input field identifying a KPI peak-usage frequency. A third user input field identifying a peak-usage relationship. The method also includes creating a first monitoring profile based on the target KPI for the KPI peak-usage frequency for the peak-usage relationship. Storing the first monitoring profile. Monitoring the target KPI for the KPI peak-usage frequency based on the first monitoring profile. Collecting target KPI data over a period defined by the KPI peak-usage frequency. Determining a peak-usage during the period defined by the KPI peak-usage frequency based on the collected target KPI data. Periodically reporting peak-usage data based on the first monitoring profile.

Abstract: The present invention provides new procedure and intermediates for the preparation of Roxadustat (1) comprising: (A) reducing a compound of formula 3?, 3? or a mixture thereof: (3?), (3?) wherein Pg is H or a OH protecting group, Ri is alkyl, aryl, or arylalkyl; R2, R3, R4, and Rs each independently represents alkyl, arylalkyl or alkenyl, or R2 and R3 and/or R4 and Rs, taken together with the nitrogen atom to which they are bonded, each independently form a ring selected from: (I), wherein R6 is H or CI-6 alkyl; R7 is Ci to C6 alkyl and X— is an anion selected from the group consisting of halide, O—SO4—R7 wherein R7 is Ci to C6 alkyl, or O—SO2-Rs wherein Rs is phenyl, tolyl, methyl or trifluoromethyl; to form a compound of formula (2?) wherein Pg is H or an OH protecting group, Ri is alkyl, aryl, or arylalkyl; and removing the Ri group and where present removing the OH protecting group; or (B) reducing a compound of formula 4?, a compound of formula 4? or a mixture thereof: (4?), (4?) wherein Pg is H or an OH

Abstract: Apparatuses, methods, and systems for increasing a spatial resolution of gridded spatial-temporal data on weather and climate-related physical variables are disclosed.

Abstract: A computer-readable medium, computer-implemented method, and system are provided. In one embodiment, a compensation pattern is defined for a step of an executable process, and the step of the executable process is executed. A change request is received, and, based on the change request, the compensation pattern is applied to the step of the executable process.

Abstract: The present invention relates to a method for predicting outcome of a process used for manufacturing a sample in a bioreactor, the process belonging to a category. The method comprises selecting (51) a process model based on the category; accessing (53) historic data related to past process runs for manufacturing the sample; accessing (53) current data obtained (54) from a current process run of the process. The obtained current data, which is based on the selected process model, comprises: process strategy data, bioreactor instrument data, data from online sensors and/or data from offline sensors. The method further comprises predicting (62) an outcome of at least one selected parameter of the current process run for manufacturing the sample based on the accessed historic data and current data. The present invention also relates to a method for modelling a process and a control system (10) for controlling a process.

Abstract: A computer-readable medium, computer-implemented method, and system are provided. In one embodiment, a business process is created, and a cost of change value for the business process is defined. An executable process that is generated from the business process is executed, and a change request is received. It is determined whether the cost of change value is greater than a threshold value, and, when the cost of change value is not greater than the threshold value, the change request is initiated.

Abstract: A method of pausing a plurality of service-oriented application (SOA) instances may include receiving, from an instance of an SOA entering a pause state, an initiation message. The initiation message may include an exit criterion that identifies a business condition that must be satisfied before the instance of the SOA exits the pause state. The method may also include receiving a notification from an event producer, the notification comprising a status of a business event and determining whether the status of the business event satisfies the business condition of the exit criterion. The method may additionally include sending, in response to a determination that the status of the business event satisfies the business condition of the exit criterion, an indication to the instance of the SOA that the business condition has been satisfied such that the instance of the SOA can exit the pause state.

Abstract: A nano-coating material, capable of being bonded to the surface of a metal or an alloy substrate, the nano-coating material includes a compound having, in a polymer main chain, (A) a first side chain or a terminal, each having a binding group containing a benzene ring having at least one pair of adjacent hydroxyl groups; and (B) a functional second side chain.