Universality of noise-induced resilience restoration in spatially-extended ecological systems

Many systems may switch to an undesired state due to internal failures or external perturbations, of which critical transitions toward degraded ecosystem states are prominent examples. Resilience restoration focuses on the ability of spatially-extended systems and the required time to recover to their desired states under stochastic environmental conditions. The difficulty is rooted in the lack of mathematical tools to analyze systems with high dimensionality, nonlinearity, and stochastic effects. Here we show that nucleation theory can be employed to advance resilience restoration in spatially-embedded ecological systems. We find that systems may exhibit single-cluster or multi-cluster phases depending on their sizes and noise strengths. We also discover a scaling law governing the restoration time for arbitrary system sizes and noise strengths in two-dimensional systems. This approach is not limited to ecosystems and has applications in various dynamical systems, from biology to infrastructural systems.

Evaluation of the Interfaces between Restorative and Regenerative Biomaterials Used in Vital Pulp Therapy

Background: Calcium-silicate-based cements (CSC) have gained an increasing scientific and clinical relevance, enabling more conservative approaches, namely pulp preservation and regeneration therapies. This research aims to study the influence of four clinical variables on the interfaces between CSC and composite adhesive restoration, concerning shear bond strength (SBS) and ultra-morphological patterns. Methods: SBS tests were performed in 320 specimens divided in 16 groups (n = 20) according to: two CSC (NuSmile® NeoMTA, BiodentineTM); two adhesive systems (ClearfilTM SE Bond 2 (CSEB2), ClearfilTM Universal Bond Quick (CUBQ)); optional application of an additional hydrophobic bonding layer (HBL); two restoration times (immediate, seven days). Scanning electron microscopy (SEM) was performed to conduct the ultra-morphology interface analysis in 32 deciduous molars prepared and randomly allocated into the 16 groups. Results: Globally, SBS tests showed higher bond strength of CUBQ compared to CSEB2 (p < 0.001), as with an additional HBL application (p = 0.014) and delayed restoration (p < 0.001). SEM showed the interpenetration between adhesive systems and CSC forming a hybrid layer, whose depth and thickness depended on the restoration time and adhesive strategy. Conclusions: The independent clinical variables adhesive system, application of an additional HBL and restoration time affected the bond performance and ultra-morphological interface between composite adhesive restoration and CSC.

Effectiveness of Caplacizumab Nanobody in Acquired Thrombotic Thrombocytopenic Purpura Refractory to Conventional Treatment

Acquired thrombocytopenic thrombotic purpura (aTTP) is an autoantibody-mediated disease against the enzyme A Disintegrin and Metalloprotease domain with ThromboSpondin-1 type motif 13, which until now has been treated with plasma exchange (PEX) and corticosteroids. A 29-year-old female patient, who presented with aTTP in the context of pregnancy, has developed multiple relapses after treatment with PEX, corticosteroids, and rituximab. Recently, caplacizumab, a nanobody against von Willebrand factor, has been approved for the treatment of aTTP. In our patient, caplacizumab achieved better disease control, with a lower platelet count restoration time, days of PEX and hospitalization duration, as compared to standard therapy, reproducing the results of clinical trials. Caplacizumab represents a significant advance in the treatment of aTTP, especially in cases of recurrent relapses.

Mechanical thrombectomy in patients with cervical artery dissection and stroke in the anterior or posterior circulation – a multicenter analysis from the German Stroke Registry

Background Cervical artery dissection (CAD) is a rare cause of acute ischemic stroke (AIS) with large vessel occlusion (LVO) and may constitute a challenge for mechanical thrombectomy (MT). We compared procedural characteristics, reperfusion rates, and clinical outcome in AIS patients undergoing MT with and without CAD. Methods We performed a pre-specified analysis of patients registered within the German Stroke Registry, a prospectively maintained multicenter registry of consecutive patients with AIS patients treated by MT. Procedural characteristics included time periods and additional application of medication. Results Of 2589 patients, 62 (2.4%) were diagnosed with CAD. CAD patients were younger, had lower rates of known vascular risk factors and larger baseline stroke volumes. MT in CAD patients took significantly longer (median [IQR] groin-puncture-to-flow restoration time: 98 [67–136] versus 70 [45–100] minutes; p < 0.001) and more often required use of intra-arterial medication (34.4% versus 15.6%; p < 0.001). Reperfusion success (modified Treatment in Cerebral Infarction score 2b-3: 85.2% versus 83.3%, p = 0.690) and favorable functional outcome after 3 months (modified Rankin Scale score ≤ 2: 70.9% versus 36.4%, adjusted p = 0.086) did not differ significantly between patients with and without CAD. The latter findings held true for both CAD in the anterior and posterior circulation. Conclusion CAD in AIS requiring MT is rare. MT in patients with CAD constitutes a particular procedural challenge, but still achieves favorable radiological and functional outcomes in most patients. Our data provide indirect evidence that MT is of clinical benefit in patients with AIS due to LVO and CAD.

Restoration of Missing Patterns on Satellite Infrared Sea Surface Temperature Images Due to Cloud Coverage Using Deep Generative Inpainting Network

In this paper, we propose a novel deep generative inpainting network (GIN) trained under the framework of generative adversarial learning, which is optimized for the restoration of cloud-disturbed satellite sea surface temperature (SST) imagery. The proposed GIN architecture can achieve accurate and fast restoration results. The proposed GIN consists of rough and fine reconstruction stages to promote the details and textures of missing (clouded) regions in SST images. We also propose a nov el preprocessing strategy that replaces the land areas with the average value of daily oceanic surface temperatures for improving restoration accuracy. To learn the proposed GIN, we developed a novel approach that combines multiple loss functions well suited for improving the restoration quality over missing SST information. Our results show that the difference in temperature between restored and actual satellite image data was no larger than 0.7 °C in monthly average values, which suggests excellent resilience against the missing sea surface temperature data. The proposed GIN has a faster restoration time and is feasible for real-time ocean-related applications. Furthermore, the computational cost of restoring SST images is much lower than the popular interpolation methods.

Implementation of Resilient Self-Healing Microgrids with IEC 61850-Based Communications

Due to the high penetration of distributed energy resources (DER) and emerging DER interconnection and interoperability requirements, fast and standardized information exchange is essential for stable, resilient, and reliable operations in microgrids. This paper proposes fast fault detection, isolation, and restoration (F-FDIR) for microgrid application with the IEC 61850 Generic Object Oriented Substation Event (GOOSE) communication considering the communication/system failure. GOOSE provides a mechanism for lightweight low latency peer-to-peer data exchange between devices, which reduces the restoration time compared to conventional client-server communication paradigm. The proposed mitigation method for the communication/system failure can find an available restoration scenario and reduce the overall process time. Hardware-in-the-loop (HIL) testbed is designed and implemented with real time digital simulator, microgrid control system, and protection and control intelligent electric devices (IEDs) for the validation. The experimental results show that the proposed F-FDIR and IEC 61850 models can enhance the reliability and interoperability of the microgrid operation and enable self-healing microgrids.

An Integrated Methodology to Maximize Production Through a Holistic Structured Framework Construction for ESP Outages

Many considerations are taken into account to ensure production targets are met for fields lifted by Electrical Submersible Pumps (ESP). ESP outages are indeed one of the major operational disturbances that significantly impact production strategies. Hence, a holistic structured framework for ESP outages has to be constructed to prevent or curtail ESP outages by capturing each of the planned and unplanned shutdowns effortlessly, comprehensively and effectively. It should, in fact, consider all parameters and relevant data that aid to better understand such outages; this would include root cause analysis, affected systems, and the production impact. It should also capture all required statistics while generating needed illustrative visuals for advanced analytics to identify the overall impact of ESP outages in a particular oil field. The outcome of the framework should be presented in the form of Key Performance Indicators (KPIs) to assess the ESP performance. Using the ESP outages framework will ensure capturing all related data and result in fruitful output using advanced statistical tools. This will clearly highlight both deficiencies and improvements for each area related to the operator companies or the service providers. Then, efforts will be made to assign timely corrective actions for fields that lag in performance while exerting efforts to improve underperforming service providers. This framework introduces a continuous tracking mechanism of ESP performance associated to outages through comprehensive KPIs. It has the ability to highlight the bad actors within the operator companies or the service providers and logical recommendations to address them. As a result, the number of outages (trips) and restoration time will be minimized which will lead to reducing the impact of revenue loss caused by the ESP production disruptions. In this structure, novel KPIs specifically focusing on ESP outages will be described in detail. Also, an integrated prototype of the ESP outages framework will be presented to demonstarte its effectiveness without further complicating other related process workflows.