Abstract: The present invention is directed to use of kifunensine for increasing sialylation of a glycosylated polypeptide, wherein a cell that produces the glycosylated polypeptide is contacted with kifunensine. Also provided are related methods for increasing sialylation of a glycosylated polypeptide and producing a glycosylated polypeptide, as well as glycosylated polypeptides and pharmaceutical compositions comprising the same, and their use in medicine.

Abstract: A method of detecting the presence of SARS-CoV-2 using oligonucleotide primer pairs is disclosed. Oligonucleotide primer pairs for the detection of SARS-CoV-2 using polymerase chain reaction (PCR)-based methods are also disclosed. Further, biomarkers and probes for SARS-CoV-2 detection are disclosed. The disclosure also relates to the identification and isolation of biomarkers for use as probes for the detection of SARS-CoV-2 and further use of the biomarkers as a target for the development of drug targets and therapeutics for SARS-CoV-2.

Abstract: A computer-implemented method includes: receiving, using a processor, multiple data session records (DSRs); storing the multiple DSRs in a memory communicatively coupled to the processor; analyzing, using the processor, the stored multiple DSRs for temporal and spatial data; and determining, using the processor, quality degradation by using the temporal and spatial data for the stored multiple DSRs.

Abstract: A computer-implemented method includes: receiving, using a processor, multiple data session records (DSRs); storing the multiple DSRs in a memory communicatively coupled to the processor; analyzing, using the processor, the stored multiple DSRs for temporal and spatial data; and determining, using the processor, quality degradation by using the temporal and spatial data for the stored multiple DSRs.

Abstract: Various embodiments provide adaptive monitoring of a wireless communication network. In one embodiment, a first set of network data generated for a wireless communication network is analyzed. The first set of network data is a set of historical network data for the wireless communication network. A baseline for at least one operating characteristic associated with the wireless communication network is determined based on the analyzing. A second set of network data generated for the wireless communication network is received. The second set of call detail records that has been received is utilized to determine if the at least one operating characteristic corresponds to the baseline. A set of monitoring operations performed by a network management system with respect to the wireless communication network is dynamically adjusted based on the at least one operating characteristic failing to correspond to the baseline.

Abstract: Various embodiments monitor user mobility in a wireless communication network. In one embodiment, a set of temporally related call detail records associated with at least one user of a wireless communication network is analyzed. A set of base stations accessed during at least one call associated with the set of temporally related call detail records is identified based on the analysis of the records. At least one road segment of a road network within a threshold distance to each of the set of base stations is identified. A set of mobility information for the at least one user indicating that the at least one user traversed the at least one road segment is stored based on identifying the at least one road segment.

Abstract: Various embodiments manage service issues in a wireless communication network. In one embodiment, a plurality of call detail records associated with a wireless communication network is received. The plurality of call detail records is analyzed. At least one pattern from the plurality of call detail records is identified based on analyzing the plurality of call detail records. The at least one pattern indicates at least one service issue occurred during a set of calls associated with each of the plurality of call detail records. A location associated with the at least one service issue that has occurred is identified based on identifying the at least one pattern.

Abstract: Various embodiments provide adaptive monitoring of a wireless communication network. In one embodiment, a first set of network data generated for a wireless communication network is analyzed. The first set of network data is a set of historical network data for the wireless communication network. A baseline for at least one operating characteristic associated with the wireless communication network is determined based on the analyzing. A second set of network data generated for the wireless communication network is received. The second set of call detail records that has been received is utilized to determine if the at least one operating characteristic corresponds to the baseline. A set of monitoring operations performed by a network management system with respect to the wireless communication network is dynamically adjusted based on the at least one operating characteristic failing to correspond to the baseline.

Abstract: Various embodiments manage service issues in a wireless communication network. In one embodiment, a plurality of call detail records associated with a wireless communication network is received. The plurality of call detail records is analyzed. At least one pattern from the plurality of call detail records is identified based on analyzing the plurality of call detail records. The at least one pattern indicates at least one service issue occurred during a set of calls associated with each of the plurality of call detail records. A location associated with the at least one service issue that has occurred is identified based on identifying the at least one pattern.

Abstract: Various embodiments monitor user mobility in a wireless communication network. In one embodiment, a set of temporally related call detail records associated with at least one user of a wireless communication network is analyzed. A set of base stations accessed during at least one call associated with the set of temporally related call detail records is identified based on the analysis of the records. At least one road segment of a road network within a threshold distance to each of the set of base stations is identified. A set of mobility information for the at least one user indicating that the at least one user traversed the at least one road segment is stored based on identifying the at least one road segment.

Abstract: Various embodiments monitor user mobility in a wireless communication network. In one embodiment, a set of temporally related call detail records associated with at least one user of a wireless communication network is analyzed. A set of base stations accessed during at least one call associated with the set of temporally related call detail records is identified based on the analysis of the records. At least one road segment of a road network within a threshold distance to each of the set of base stations is identified. A set of mobility information for the at least one user indicating that the at least one user traversed the at least one road segment is stored based on identifying the at least one road segment.

Abstract: Various embodiments manage service issues in a wireless communication network. In one embodiment, a plurality of call detail records associated with a wireless communication network is received. The plurality of call detail records is analyzed. At least one pattern from the plurality of call detail records is identified based on analyzing the plurality of call detail records. The at least one pattern indicates at least one service issue occurred during a set of calls associated with each of the plurality of call detail records. A location associated with the at least one service issue that has occurred is identified based on identifying the at least one pattern.

Abstract: Methods and arrangements for characterizing software base-station workloads. Input system parameters are mapped to work-determining parameters which act to determine computational requirements of a dynamic workload. A synthetic experiment is undertaken to measure the computational requirements determined by the work-determining parameters.

Abstract: Various embodiments monitor user mobility in a wireless communication network. In one embodiment, a set of temporally related call detail records associated with at least one user of a wireless communication network is analyzed. A set of base stations accessed during at least one call associated with the set of temporally related call detail records is identified based on the analysis of the records. At least one road segment of a road network within a threshold distance to each of the set of base stations is identified. A set of mobility information for the at least one user indicating that the at least one user traversed the at least one road segment is stored based on identifying the at least one road segment.

Abstract: Various embodiments monitor user mobility in a wireless communication network. In one embodiment, a set of temporally related call detail records associated with at least one user of a wireless communication network is analyzed. A set of base stations accessed during at least one call associated with the set of temporally related call detail records is identified based on the analysis of the records. At least one road segment of a road network within a threshold distance to each of the set of base stations is identified. A set of mobility information for the at least one user indicating that the at least one user traversed the at least one road segment is stored based on identifying the at least one road segment.

Abstract: Various embodiments provide adaptive monitoring of a wireless communication network. In one embodiment, a first set of network data generated for a wireless communication network is analyzed. The first set of network data is a set of historical network data for the wireless communication network. A baseline for at least one operating characteristic associated with the wireless communication network is determined based on the analyzing. A second set of network data generated for the wireless communication network is received. The second set of call detail records that has been received is utilized to determine if the at least one operating characteristic corresponds to the baseline. A set of monitoring operations performed by a network management system with respect to the wireless communication network is dynamically adjusted based on the at least one operating characteristic failing to correspond to the baseline.

Abstract: Various embodiments provide adaptive monitoring of a wireless communication network. In one embodiment, a first set of network data generated for a wireless communication network is analyzed. The first set of network data is a set of historical network data for the wireless communication network. A baseline for at least one operating characteristic associated with the wireless communication network is determined based on the analyzing. A second set of network data generated for the wireless communication network is received. The second set of call detail records that has been received is utilized to determine if the at least one operating characteristic corresponds to the baseline. A set of monitoring operations performed by a network management system with respect to the wireless communication network is dynamically adjusted based on the at least one operating characteristic failing to correspond to the baseline.

Abstract: Various embodiments provide adaptive monitoring of a wireless communication network. In one embodiment, a first set of network data generated for a wireless communication network is analyzed. The first set of network data is a set of historical network data for the wireless communication network. A baseline for at least one operating characteristic associated with the wireless communication network is determined based on the analyzing. A second set of network data generated for the wireless communication network is received. The second set of call detail records that has been received is utilized to determine if the at least one operating characteristic corresponds to the baseline. A set of monitoring operations performed by a network management system with respect to the wireless communication network is dynamically adjusted based on the at least one operating characteristic failing to correspond to the baseline.

Abstract: Systems and associated methods for estimating wireless workloads are described herein. Systems and methods provide for generating an estimate of a wireless workload's processing requirements from the combined knowledge of system specific values, such as system parameters, platform details, and implementation details. Systems and methods for estimating wireless workloads may be utilized in various wireless protocols, including, 3G, WiMax, LTE, WiFi, femtocells, and point-to-point wireless links. The estimated workloads may be used for scheduling wireless workloads in a shared computing environment.

Abstract: Systems and associated methods for estimating wireless workloads are described herein. Systems and methods provide for generating an estimate of a wireless workload's processing requirements from the combined knowledge of system specific values, such as system parameters, platform details, and implementation details. Systems and methods for estimating wireless workloads may be utilized in various wireless protocols, including, 3G, WiMax, LTE, WiFi, femtocells, and point-to-point wireless links. The estimated workloads may be used for scheduling wireless workloads in a shared computing environment.