Abstract: Disclosed are methods for treating extensive-stage small-cell lung cancer (ES-SCLC) with an antibody that inhibits PD1/PD-L1 activity in combination with etoposide and a platinum-based therapeutic agent.

Abstract: The Present disclosure is related to hot-mix asphalt (“HMA”) for asphalt cement concrete (“ACC”) pavement. Equivalent-performing pavement may be made at lower cost, or higher-performing pavement may be made at equivalent-to-prior-art cost. The amendments, recycled asphalt pavement (“RAP”, and including recycled asphalt shingles [“RAS”]), and reinforcing fiber (aramid fiber) may be adjusted as described herein to achieve a desired price/performance target.

Abstract: Disclosed are methods for treating locally advanced (Stage III), unresectable non-small-cell lung cancer (NSCLC) with an antibody that inhibits PD-1/PD-L1 activity concurrently with chemoradiation therapy (cCRT).

Abstract: Disclosed are methods for treating extensive-stage small-cell lung cancer (ES-SCLC) with an antibody that inhibits PD1/PD-L1 activity in combination with etoposide and a platinum-based therapeutic agent.

Abstract: The disclosure generally relates to methods for treating cancer in a patient using durvalumab in combination with chemotherapy based on the patient's minimal residual status. Specifically, the disclosure relates to preventing or treating a recurrent tumor in a patient, wherein the patient is minimal residual disease-positive (MRD+), using durvalumab and chemotherapy.

Abstract: Disclosed are methods for treating extensive-stage small-cell lung cancer (ES-SCLC) with an antibody that inhibits PD1/PD-L1 activity in combination with etoposide and a platinum-based therapeutic agent.

Abstract: The present disclosure includes systems, methods and program products for identifying a drawing scale for a graphical view of a drawing having associated annotations, each of the annotations being associated with one or more views and support at least one drawing scale; selected one or more annotations as a subset of the associated annotations by identifying the subset of annotations while excluding from the subset ones that are not associated with the graphical view or do not support the drawing scale, based at least in part on the graphical view and the drawing scale; retrieving for each of the selected annotations, associated context for the drawing scale, the context specifying one or more of: the annotation's position, style or rotation in the graphical view; and adding a graphical representation of each of the selected annotations to the graphical view according to the drawing scale and each annotation's respective context.

Abstract: The present disclosure includes, among other things, systems, methods and program products for using, storing and retrieving scale information.

Abstract: The present disclosure includes, among other things, systems, methods and program products for identifying a drawing scale for a graphical view of a drawing, the drawing scale specifying a ratio of two units; selecting one or more annotations associated with the view that support the drawing scale, each of the selected annotations associated with context for the drawing scale, the context specifying one or more of: the annotation's position in the view, the annotation's style in the view, or the annotation's rotation in the view; adding a graphical representation of each of the selected annotations to the view according to the drawing scale and each annotation's respective context; and removing any one or more of the annotations from the view that does not support the drawing scale.

Abstract: Methods and apparatuses for computing a variance between two business metrics is described. In one embodiment, the method computes a variance for each of a first set of activities based on the corresponding reference state of that activity, wherein the variance for an activity is the change in contribution for that activity between the first and second business metrics and with each of the first set of activities having a reference value. Furthermore, the method computes a variance for each of a second set of activities based on the corresponding start and end values of that activity with each of the second set of activities having a start and end value.

Abstract: Methods and apparatuses for computing a variance for the difference between two business metrics. In one embodiment, the method accesses a response model and a plurality of activities with start and end values for each of the plurality of activities. Furthermore, the method computes a variance for the difference between the first and second business metrics for each of the plurality of activities using the response model by setting that activity to one of the corresponding starting and ending values and setting others of the plurality of activities to the value state opposite of that activity, wherein the variance for an activity is the change in contribution for that activity between the start and end sales volumes.

Abstract: Methods and apparatuses for decomposing a business metric based on a plurality of activities and a response model are described. In one embodiment, the method accesses the response model and the plurality of activities, the plurality of activities each having a reference and executed value. The method computes a contribution to the business metric based on setting one of the plurality of activities to one of the corresponding reference and executed value and setting the other activities to the value state opposite of that activity. Furthermore, the method computes each of the contributions independent of the response model type.

Abstract: Methods and apparatuses for decomposing a business metric based on a plurality of activities and a response model are described. In one embodiment, the method accesses the response model and the plurality of activities, the plurality of activities each having a reference and executed value. The method computes a contribution to the business metric based on setting one of the plurality of activities to one of the corresponding reference and executed value and setting the other activities to the value state opposite of that activity. Furthermore, the method computes each of the contributions independent of the response model type.

Abstract: Methods and apparatuses for computing a variance for the difference between two business metrics. In one embodiment, the method accesses a response model and a plurality of activities with start and end values for each of the plurality of activities. Furthermore, the method computes a variance for the difference between the first and second business metrics for each of the plurality of activities using the response model by setting that activity to one of the corresponding starting and ending values and setting others of the plurality of activities to the value state opposite of that activity, wherein the variance for an activity is the change in contribution for that activity between the start and end sales volumes.

Abstract: Methods and apparatuses for computing a variance between two business metrics is described. In one embodiment, the method computes a variance for each of a first set of activities based on the corresponding reference state of that activity, wherein the variance for an activity is the change in contribution for that activity between the first and second business metrics and with each of the first set of activities having a reference value. Furthermore, the method computes a variance for each of a second set of activities based on the corresponding start and end values of that activity with each of the second set of activities having a start and end value.

Abstract: Methods and apparatuses for computing an atomic decomposition level and a set of different decomposition levels based on the atomic decomposition level for a business metric are described. In one embodiment, the method accesses a response model and a first plurality of activities that are used to compute an atomic decomposition level. The atomic decomposition level is a base level of the set of different decomposition levels using different pluralities of activities. Furthermore, the set of different decompositions is consistent with the atomic decomposition level.

Abstract: Methods and apparatuses for predicting set of multi-dimensional dependent data and non-measurable data from a set of multi-dimensional historical dependent and causal data are described. In one embodiment, the method comprises receiving input data that comprises multi-dimensional historical dependent data and causal data and anticipated activity data, determining a set of multi-dimensional predicted dependent data using a predictive model and the input data, creating non-measurable data based on the set of multi-dimensional predicted dependent data and the input data.

Abstract: An improvement for a railroad tie crane utilizes a movable stop mounted on an elongated member between a pair of cushioned terminals to reduce impact stress on equipment and personnel in situations where the tie crane must be prevented from fouling an adjacent track. The movable stop is selectively engaged by a retractable bar mounted on the rotatable platform carrying the crane boom.

Abstract: The present disclosure includes, among other things, systems, methods and program products for using, storing and retrieving scale information.

Abstract: Methods and apparatuses for updating a forecast model quantifying the marketing of to the demand for a product and/or service are described. An original forecast model created at a reference M is used. An error of the forecast model is determined based on data including an original data and an additional data. At least one parameter is identified to be changed in value in, added to, or removed from the original forecast model. The forecast model is then modified to reduce the error of the forecast model by changing the value of the identified parameter in the forecast model, adding the identified parameter to the original forecast model, and/or removing the identified parameter from the original forecast model.