Augmented In-Band Telemetry to the User Equipment for beyond 5G Converged Packet-Optical Networks

Traffic monitoring through in-band telemetry is extended up to the User Equipment (UE), providing accurate e2e latency measurement. The UE becomes aware of its experienced service performance, enabling autonomous operations for faster automatic source-based Edge-Cloud steering

Coordinating Pluggable Transceiver Control in SONiC-based Disaggregated Packet-Optical Networks

Effective control of pluggable transceivers in SONiC-based packet-optical nodes is demonstrated. A workflow for multi-layer recovery upon soft failure detection is validated, showing no traffic disruption and fast node-driven coordination between packet and optical operations

Diagnosing silent cardiac dysautonomia via ambulatory blood pressure monitoring: early diagnosis shown by the lack of heart rate circadian rhythm in type 1 diabetes mellitus

Introduction. Diabetes mellitus (DM) can be complicated by an involvement of Neurovegetative System (NVS), conventionally and non-invasively diagnosed by the means of Ewing's test and Heart Rate Variability (HRV) analysis. It is well known that the NVS is physiologically responsible, via biological clocks, for the regulation of Circadian Rhythms (CR) characterizing the majority of biological functions. Therefore, this study is aimed at investigating the CR of Heart Rate (HR) and Blood Pressure (BP) in DM, postulating that the diagnosis of Silent Cardiac Dysautonomia (SCD) could be facilitated by detecting anomalous rhythmometric changes, including the worse one, i.e., the lose of a CR. Materials and Methods. The study has been performed on 30 clinically healthy subjects (CHS), 10 patients with DM1 and 30 patients with DM2, who underwent an ambulatory BP monitoring (ABPM) collecting data equidistantly every 30 minutes, under standardized conditions of lifestyle. The group specific monitored values of systolic (S), diastolic (D) BP, as well as HR have been analyzed via: 1. a conventional analysis of their intradiem variability; 2. a chronobiometric analysis (Cosinor method) of their CR. Results. The conventional analysis disclosed that in CHS, DM1 and DM2, both the HR and BP show an intradiem variability that is significant (p<0.001). The chronobiological analysis showed that in CHS and DM2, both the HR and BP show a significant CR (p<0.001), viceversa in DM1 HR is characterized by a non significant CR (p=0.124), notwithstanding that the SBP and DBP maintain a significant CR (p<0.001). Conclusions. The disappearance of HR CR in DM1 reveals the involvement of neurovegetative biological clock that selectively controls the HR CR, as it is demonstrated by the pathophysiological finding of an internal desynchronization between the HR and BP CR. The selective lose of HR CR in DM1 leads to conclude that the ABPM, along with its Cosinor analysis, might be a practical, repeatable, low cost, low risk technique for diagnosing the SCD, at least in DM1. Clin Ter 2010; 161(1):e1-e1

Direct comparison of B-Type Natriuretic Peptide (BNP) and amino-terminal proBNP in a large population of patients with chronic and symptomatic heart failure: the Valsartan Heart Failure (Val-HeFT) data

Background: The B-type or brain natriuretic peptides (BNP) and the amino-terminal probrain natriuretic peptide (NT-proBNP) are good markers of prognosis and diagnosis in chronic heart failure (HF). It is unclear, however, whether differences in their biological characteristics modify their clinical correlates and prognostic performance in HF. This work aimed to provide a direct comparison of the prognostic value of BNP and NTproBNP in patients with chronic and stable HF. Methods: We measured BNP and NT-proBNP at baseline in 3916 patients enrolled in the Valsartan Heart Failure Trial. To identify the variables associated with both peptides, we conducted simple and multivariable linear regression analyses. We used Cox multivariable regression models to evaluate the independent prognostic value for all-cause mortality, mortality and morbidity, and hospitalization for HF. Prognostic performance was assessed by pairwise comparisons of the area under the curve of receiver-operator characteristic curves. Results: NT-proBNP and BNP had similar relationships with age, left ventrical ejection fraction, and internal diameter and creatinine clearance. Either peptide ranked as the first independent predictor of outcome after adjustment for major confounding clinical characteristics. ROC curves were almost superimposable for all-cause mortality (area under the curve (SE): BNP 0.665 (0.011) vs NT-proBNP 0.679 (0.011); P 0.0734), but NT-proBNP was superior to BNP for predicting mortality and morbidity (P 0.032) or hospitalization for HF (P 0.0143). Overall sensitivity and specificity ranged from 0.590 to 0.696. Conclusions: The natriuretic peptides BNP and NTproBNP showed subtle differences in their relation to clinical characteristics and prognostic performance in a large population of patients with chronic and stable HF. They were the most powerful independent markers of outcome in HF

Monitoring and Data Analytics for Optical Networking:Benefits, Architectures, and Use Cases

Operators' network management continuously measures network health by collecting data from the deployed network devices; data is used mainly for performance reporting and diagnosing network problems after failures, as well as by human capacity planners to predict future traffic growth. Typically, these network management tools are generally reactive and require significant human effort and skills to operate effectively. As optical networks evolve to fulfil highly flexible connectivity and dynamicity requirements, and supporting ultra-low latency services, they must also provide reliable connectivity and increased network resource efficiency. Therefore, reactive human-based network measurement and management will be a limiting factor in the size and scale of these new networks. Future optical networks must support fully automated management, providing dynamic resource re-optimization to rapidly adapt network resources based on predicted conditions and events; identify service degradation conditions that will eventually impact connectivity and highlight critical devices and links for further inspection; and augment rapid protection schemes if a failure is predicted or detected, and facilitate resource optimization after restoration events. Applying automation techniques to network management requires both the collection of data from a variety of sources at various time frequencies, but it must also support the capability to extract knowledge and derive insight for performance monitoring, troubleshooting, and maintain network service continuity. Innovative analytics algorithms must be developed to derive meaningful input to the entities that orchestrate and control network resources; these control elements must also be capable of proactively programming the underlying optical infrastructure. In this article, we review the emerging requirements for optical network management automation, the capabilities of current optical systems, and the development and standardization status of data models and protocols to facilitate automated network monitoring. Finally, we propose an architecture to provide Monitoring and Data Analytics (MDA) capabilities, we present illustrative control loops for advanced network monitoring use cases, and the findings that validate the usefulness of MDA to provide automated optical network management

Use of coal liquefaction catalysts for coal/oil coprocessing and heavy oil upgrading

The catalytic hydrogenation of coal and model solvents using dispersed or supported catalysts at different pressures has been the focus of several recent studies at PETC. The effectiveness of these catalysts has been studied in coal liquefaction and coal-oil coprocessing. Coal-oil coprocessing involves the co-reaction of coal and petroleum-derived oil or resid. The results of these studies have indicated that both dispersed and supported catalysts are effective in these systems at elevated H{sub 2} pressures ({approximately}2,500 psig). Attempts to reduce pressure indicated that a combination of catalyst concentration and solvent quality could be used to compensate for reductions in H{sub 2} pressure. Comparison of the coal and coprocessing systems reveals many similarities in the catalytic requirements for both systems. Both hydrogenation and hydrogenolysis activities are required and the reactive environments are similar. Also, the use of catalysts in the two systems shares problems with similar types of inhibitors and poisons. The logical extension of this is that it may be reasonable to expect similar trends in catalyst activity for both systems. In fact, many of the catalysts selected for coal liquefaction were selected based on their effectiveness in petroleum systems. This study investigates the use of supported and dispersed coal liquefaction catalysts in coal-oil coprocessing and petroleum-only systems. The focus of the study was delineating the effects of coal concentration, pressure, and catalyst type

Hierarchical Border Gateway Protocol (HBGP) for PCE-based multi-domain traffic engineering

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