Recovery Path Research Articles

Optimal Path Calculation for Multi-ring Based Packet–Optical Transport Networks

Multi-domain optical transport networks are inherently non-interoperable and require integrated orchestration and path provisioning mechanisms at the network-wide level. Moreover, ensuring the network’s survivability is a critical issue. While the MPLS-TP (multi-protocol label switching-transport profile) defines various protection and recovery mechanisms as standards, it does not address methods for calculating and selecting protection and recovery paths. Therefore, an algorithm is needed to calculate and set up paths to ensure quick protection and recovery across the entire integrated network, minimizing conflicts in protection and recovery at the packet optical integrated network level. In this paper, we proposed an algorithm that calculates and sets a path that enables rapid protection and recovery in an MPLS-TP network composed of a multi-ring-mesh topology. To this end, this study proposes the concept of a transparent node (T-node) for calculating link-disjoint SPF (shortest path first) in a multi-ring network with dual or more rings. A T-node is a node in a ring with more than a dual ring and indicates that the node has been used once in route calculation. Therefore, during path calculation, a T-node can be used as a source node and an intermediate node but not as a destination node.

Return to Sport After Conservative Management of Midshaft Clavicle Fractures in Professional Jockeys.

This study explores the functional recovery and rates return to play (RTP) of professional jockeys following midshaft clavicle fractures, which have been managed conservatively. The high incidence of these fractures in horse racing underscores the importance of evaluating nonsurgical recovery paths for effective RTP. We used a retrospective cohort study to assess treatment outcomes. The research is set in the professional horse racing scene of Ireland. Sixteen professional Irish jockeys with conservatively managed midshaft clavicular fractures were examined. Jockeys who underwent surgery or were inactive at injury time were excluded. The study involved no direct interventions. Recovery was assessed using the Quick Disabilities of the Arm, Shoulder, and Hand (QuickDASH) score and Patient-Reported Outcome Measures, alongside racing records to track RTP. The all-male cohort had an average age of 27 years. Results showed an average 67.1-day absence from racing, with 94% returning to preinjury competition levels. Complications were minimal, and patient outcomes were positive, as indicated by a mean QuickDASH score of 2.58, suggesting minimal residual disability. Findings highlight the success of conservative management for midshaft clavicle fractures in professional jockeys, enabling them to return to prior competitive levels with few complications and excellent functional recovery.

Resilience enhancement for interdependent power systems by AI-assisted disaster response

The failure of urban Electrical Distribution Systems (EDSs) can lead to direct or indirect consequences for their interdependent critical infrastructures, for example, the hospitals, the fire department, etc., negatively affecting the well-being of citizens in the city. To improve the resilience of the coupled power network, the Operational Interdependence Simulator (OIS) is proposed to help prioritize the queue of failure recovery and Minimum Spanning Tree and Shortest Path Tree topology reconfiguration to minimize critical load downtime. Additionally, AI agents are introduced to assist decision-making processes. By utilizing machine learning and training in thousands of offline scenarios, the system can be used for real-time calculation of the optimal recovery paths when given the number and location of electrical faults. The IEEE 70-node distribution system case validated the high prediction accuracy and post-disaster topology reconfiguration while considering the interdependencies.

Effects of Storage Voltage upon Sodium-Ion Batteries

Sodium-ion batteries (SIBs) are gaining attention as a safer, more cost-effective alternative to lithium-ion batteries (LIBs) due to their use of abundant and non-critical materials. A notable feature of SIBs is their ability to utilize aluminum current collectors, which are resistant to oxidation, allowing for safer storage at 0 V. However, the long-term impacts of such storage on their electrochemical performance remain poorly understood. This study systematically investigates how storage conditions at various states of charge (SOCs) affect open circuit voltage (OCV) decay, internal resistance, and post-storage cycling stability in two different Na-ion chemistries: Prussian white//hard carbon and layered oxide//hard carbon. Electrochemical Impedance Spectroscopy before and after storage shows a pronounced increase in internal resistance and a corresponding decline in cycling performance when SIBs are stored in a fully discharged state (0 V), particularly for layered oxide-based cells, illustrating the sensitivity of different SIB chemistries to storage conditions. Additionally, a novel reformation protocol is proposed that reactivates cell capacity by rebuilding the solid electrolyte interphase (SEI) layer, offering a recovery path after prolonged storage. These insights into the long-term storage effects on SIBs provide new guidelines for optimizing storage and transport conditions to minimize performance degradation, making them more viable for commercial applications.

Cost-effectiveness of a patient-reported outcome-based remote monitoring and alert intervention for early detection of critical recovery after joint replacement: A randomised controlled trial.

While the effectiveness of patient-reported outcome measures (PROMs) as an intervention to impact patient pathways has been established for cancer care, it is unknown for other indications. We assessed the cost-effectiveness of a PROM-based monitoring and alert intervention for early detection of critical recovery paths following hip and knee replacement. The cost-effectiveness analysis (CEA) is based on a multicentre randomised controlled trial encompassing 3,697 patients with hip replacement and 3,110 patients with knee replacement enrolled from 2019 to 2020 in 9 German hospitals. The analysis was conducted with a subset of 546 hip and 492 knee replacement cases with longitudinal cost data from 24 statutory health insurances. Patients were randomised 1:1 to a PROM-based remote monitoring and alert intervention or to a standard care group. All patients were assessed at 12-months post-surgery via digitally collected PROMs. Patients within the intervention group were additionally assessed at 1-, 3-, and 6-months post-surgery to be contacted in case of critical recovery paths. For the effect evaluation, a PROM-based composite measure (PRO-CM) was developed, combining changes across various PROMs in a single index ranging from 0 to 100. The PRO-CM included 6 PROMs focused on quality of life and various aspects of physical and mental health. The primary outcome was the incremental cost-effectiveness ratio (ICER). The intervention group showed incremental outcomes of 2.54 units PRO-CM (95% confidence interval (CI) [0.93, 4.14]; p = 0.002) for patients with hip and 0.87 (95% CI [-0.94, 2.67]; p = 0.347) for patients with knee replacement. Within the 12-months post-surgery period the intervention group had less costs of 376.43€ (95% CI [-639.74, -113.12]; p = 0.005) in patients with hip, and 375.50€ (95% CI [-767.40, 16.39]; p = 0.060) in patients with knee replacement, revealing a dominant ICER for both procedures. However, it remains unclear which step of the multistage intervention contributes most to the positive effect. The intervention significantly improved patient outcomes at lower costs in patients with hip replacements when compared with standard care. Further it showed a nonsignificant cost reduction in knee replacement patients. This reinforces the notion that PROMs can be utilised as a cost-effective instrument for remote monitoring in standard care settings. Registration: German Register for Clinical Studies (DRKS) under DRKS00019916.

Optimal Transition Paths for AMOC Collapse and Recovery in a Stochastic Box Model

Optimal Transition Paths for AMOC Collapse and Recovery in a Stochastic Box Model

Expanding Role of Interleukin-1 Family Cytokines in Acute Ischemic Stroke.

Ischemic stroke (IS) is a critical medical condition that results in significant neurological deficits and tissue damage, affecting millions worldwide. Currently, there is a significant lack of reliable tools for assessing and predicting IS outcomes. The inflammatory response following IS may exacerbate tissue injury or provide neuroprotection. This review sought to summarize current knowledge on the IL-1 family's involvement in IS, which includes pro-inflammatory molecules, such as IL-1α, IL-1β, IL-18, and IL-36, as well as anti-inflammatory molecules, like IL-1Ra, IL-33, IL-36A, IL-37, and IL-38. The balance between these opposing inflammatory processes may serve as a biomarker for determining patient outcomes and recovery paths. Treatments targeting these cytokines or their receptors show promise, but more comprehensive research is essential to clarify their precise roles in IS development and progression.

Stroke Rehabilitation in India: Addressing Gender Inequities.

Gender inequality has a significant and complex impact on stroke recovery and rehabilitation outcomes. Moreover, the influence of gender on post-stroke recovery is multifactorial, primarily biological, social, and behavioral issues. The recovery paths for men and women may have different outlines in relation to stroke occurrence, injury sites, and hormonal effects. These collectively influence the effective summarization of recovery strategies and outcomes. Furthermore, societal and cultural elements play a significant role in shaping access to resources, social support networks, and participation in rehabilitation programs, which consequently affect the outcomes. Considering the gender-specific nuances is important in developing effective rehabilitation strategies. Furthermore, effective stroke rehabilitation programs are needed to achieve equitable and improved recovery outcomes for all stroke survivors and to create inclusive interventions that consider these differences.

A study on power supply restoration strategy considering flexible resource regulation ability

AbstractThe rapid development of new energy technology can make this type of energy the primary power source in the future. However, new energy power generation is considerably affected by the environment, resulting in intermittent and fluctuating characteristics. Given the shortage of power generation in urban distribution networks during extreme weather, a study on power supply restoration strategy considering flexible resource regulation ability is proposed in this study. First, the typical adjustable flexible resources, air conditioners, and electric vehicles in urban distribution networks are modeled, and their adjustment ability is evaluated. Second, on the basis of the evaluation results, the optimal power supply recovery path is solved to ensure the power supply of essential loads in the distribution network. Last, the IEEE 33‐bus system proves that this method can quickly find the optimal path of power supply recovery and effectively reduce the power loss rate of essential loads, thus improving the toughness of urban distribution networks.

RECAR: Robust and efficient collision-avoiding routing for 3D underwater named data networking

Internet of Underwater Things (IoUT) has important application prospects in fields of both scientific research and commercial business. As a future network architecture, Named Data Networking (NDN) is starting to be applied to IoUT. Although Underwater Named Data Networking (UNDN) has unique advantages in dealing with bandwidth usage, multi-path forwarding, and node mobility, there is still no specific routing protocol for UNDN. The existing underwater routing protocols are either difficult to combine with NDN, or are limited by channel collision and redundant forwarding, especially broadcast suppression routing. In this paper, we propose a routing method named Robust and Efficient Collision-Avoiding Routing (RECAR) for 3D UNDN. RECAR consists of three combined forwarding modes: Directive Mode (DM), Directive Flooding Mode (DFM), and Flooding Mode (FM). In DFM, we propose Segmentation Suppression for Optimal Position (SSOP), an elaborate waiting time algorithm of broadcast suppression which can effectively reduce channel collisions and redundant forwarding. For DM, failure path recovery and unreliable path elimination are proposed to address failure paths. Additionally, several forwarding efficient mechanisms are designed including flexible mode shift, unified data forwarding and scope control. Simulation results show that RECAR has excellent and robust performance, even in the cases of node failure and void hole. Compared with a recent underwater routing method (adaptive location-based routing protocol), RECAR improves the average interest satisfied rate by 19.57% while reducing the request time, collisions, redundant forwarding, total traffic, and energy consumption by 19.5%, 91.7%, 71.4%, 78.4%, and 27.3%, respectively.

Trajectory tracking attack for vehicular ad‐hoc networks

AbstractMaintaining user privacy and security is a critical concern in vehicular ad hoc networks (VANETs). However, prior research has neglected the study of matrix recovery attack methods in VANETs and the challenge of reducing the number of roadside units (RSUs). In this article, we formulate a path recovery strategy using matrix recovery techniques from an adversarial view. Subsequently, the challenge of minimizing RSUs while monitoring all user vehicles in a region is converted into a set cover problem. We introduce a heuristic algorithm that utilizes clustering to address this issue. To minimize matrix recovery errors, a Kalman filter based method is integrated to enhance the performance. This paper also presents an initial deployment of path recovery attacks, maintaining effectiveness even with certain defense mechanisms in place. Furthermore, we conduct simulation experiments to evaluate the effectiveness of the proposed attack strategy. The simulation results demonstrate the performance across various dimensions. Finally, the results show that the success rate of our proposed counter‐defense strategy in overcoming user defenses surpasses 50%.

CSP2023: 462 - RECOVERY PATH IN TOTAL HIP REPLACEMENT: A DELPHI STUDY WITH SCOPING REVIEW

CSP2023: 462 - RECOVERY PATH IN TOTAL HIP REPLACEMENT: A DELPHI STUDY WITH SCOPING REVIEW

A probabilistic framework to evaluate seismic resilience of substations based on three-stage uncertainty

Electrical substation systems exhibit vulnerability after an earthquake. It results in significant economic losses because of the uncertainty of the functional state and recovery process. To quantitatively assess the uncertainty of substations, this paper proposes a probability-based seismic resilience assessment framework. This framework considers uncertainty in three stages: functional state, functional recovery, and resource constraints. Based on the functional characteristics of substation systems, a directed acyclic graph was constructed, and the Monte Carlo algorithm was used to obtain the functional state matrix, thereby establishing a probability-based functional state model. Moreover, a dynamic post-earthquake functional recovery analysis framework was built based on recovery efficiency metrics, and functional recovery paths were obtained through iterative simulations. A stepped functional recovery curve was developed based on resource constraints. Three-stage uncertainty parameters were transformed into resilience features for quantitative assessment. By analysing seismic resilience of a typical 220 kV step-down substation, probability distributions of functional recovery curves and confidence intervals for seismic resilience metrics were obtained. Notably, mutual constraint relationships among resource conditions were identified.

Development of a Flexible Sensor-Integrated Tissue Patch to Monitor Early Organ Rejection Processes Using Impedance Spectroscopy.

Heart failure represents a primary cause of hospitalization and mortality in both developed and developing countries, often necessitating heart transplantation as the only viable recovery path. Despite advances in transplantation medicine, organ rejection remains a significant post-operative challenge, traditionally monitored through invasive endomyocardial biopsies (EMB). This study introduces a rapid prototyping approach to organ rejection monitoring via a sensor-integrated flexible patch, employing electrical impedance spectroscopy (EIS) for the non-invasive, continuous assessment of resistive and capacitive changes indicative of tissue rejection processes. Utilizing titanium-dioxide-coated electrodes for contactless impedance sensing, this method aims to mitigate the limitations associated with EMB, including procedural risks and the psychological burden on patients. The biosensor's design features, including electrode passivation and three-dimensional microelectrode protrusions, facilitate effective monitoring of cardiac rejection by aligning with the heart's curvature and responding to muscle contractions. Evaluation of sensor performance utilized SPICE simulations, scanning electron microscopy, and cyclic voltammetry, alongside experimental validation using chicken heart tissue to simulate healthy and rejected states. The study highlights the potential of EIS in reducing the need for invasive biopsy procedures and offering a promising avenue for early detection and monitoring of organ rejection, with implications for patient care and healthcare resource utilization.

Tuning instability in suspended monolayer 2D materials

Monolayer two-dimensional (2D) materials possess excellent in-plane mechanical strength yet extremely low bending stiffness, making them particularly susceptible to instability, which is anticipated to have a substantial impact on their physical functionalities such as 2D-based Micro/Nanoelectromechanical systems (M/NEMS), nanochannels, and proton transport membrane. In this work, we achieve quantitatively tuning instability in suspended 2D materials including monolayer graphene and MoS2 by employing a push-to-shear strategy. We comprehensively examine the dynamic wrinkling-splitting-smoothing process and find that monolayer 2D materials experience stepwise instabilities along with different recovery processes. These stepwise instabilities are governed by the materials’ geometry, pretension, and the elastic nonlinearity. We attribute the different instability and recovery paths to the local stress redistribution in monolayer 2D materials. The tunable instability behavior of suspended monolayer 2D materials not only allows measuring their bending stiffness but also opens up new opportunities for programming the nanoscale instability pattern and even physical properties of atomically thin films.

Positive Deviance and Exploring the Role of Mental Health on Early Postoperative Recovery After Total Hip Arthroplasty: A Retrospective Analysis Using the PROMIS-10 Global Health.

Mental illnesses are well-known factors that contribute to poor outcomes among total hip arthroplasty (THA) patients. However, a dichotomized mental illness diagnosis may not reflect the complex biopsychosocial factors contributing to a patient's health. Investigating patients who achieve positive outcomes despite having risk factors, known as positive deviants, may help identify protective characteristics and decrease health disparities among this growing population of patients. Using preoperative Mental Health T-scores (MHT) from the PROMIS-10 Global Health questionnaire among patients with a mental illness diagnosis, the purpose of this study was to explore whether patients with above-average MHT, or positive deviants, experienced a different immediate postoperative recovery path compared with patients with below-average MHT. This was a retrospective chart review of patients undergoing elective primary THA. Patients with a formal diagnosis of a mental health condition were divided based on their MHT (above average [AA] >50, average [A] 40 to 50, below average [BA] <40). Postsurgical parameters included total opioid consumption, self-reported pain scores, and discharge disposition. A total of 299 patients were analyzed. After controlling for length of stay and type of mental illness, patients in the AA-MHT and A-MHT groups used 33.8 and 29.8 morphine milligram equivalents less than patients in the BA-MHT group during the inpatient stay, respectively. Patients in the AA-MHT group reported a 1.0 lower pain with activity score at discharge compared with patients in the BA-MHT group. The intersection between patients with a mental illness in need of a THA is becoming more commonplace. Data suggest that patients with a mental illness who report AA-MHT on the PROMIS-10 Global Health questionnaire may represent positive deviants or those with a more positive in-hospital recovery path compared with those patients with BA-MHT. Diagnostic study-retrospective cohort study.

Exploring cultural dynamics of Black Asian Minority Ethnic (BAME) women in addiction recovery: a comparison of three women from different ethnic backgrounds

Background The existing recovery capital (RC) literature primarily focuses on white males. This study aims to fill this gap by exploring addiction recovery among three culturally diverse UK women, utilizing CHIME-D (Connectedness, Hope/Optimism, Identity, Meaning, Empowerment, and Difficulties) and RC frameworks. It seeks to compare their recovery paths, combining quantitative data with lived experiences, and barriers specific to women in recovery. Methods The article will deploy a case study design involving a mixed methods approach to explore recovery pathways and resulting RC, based on in-depth interviews and recovery capital assessments with three women from white, black and Asian ethnic backgrounds. Results While one of the three participants, reports very strong and positive RC on the REC-CAP, the other two are at a much earlier stage in their journey. In contrast to the white female participant, who lacks personal RC and has significant barriers around ongoing substance use, the Black and Asian Minority Ethnic (BAME) participants report cultural challenges and difficulties engaging with mainstream services. Conclusion Recovery is a personal and individualized journey, but one that is predicated on social support, belonging and access to cultural and community resources. For BAME participants, accessing and engaging with appropriate peer support is essential in building RC and fulfilling the requirements of CHIME.

Araguaia biodiversity corridor cost benefit analysis: Large scale restoration and sustainable agribusiness in Amazon and Cerrado

Ecosystem restoration is an important tool for reducing ecosystem loss and contribute to diminish the negative impacts from deriving from climate change, but can be very costly. This paper focuses on the cost-benefit and cost-effectiveness analysis of recovering almost one million hectares of legally protected areas in the Araguaia Biodiversity Corridor (Brazil) following the Brazilian Forest code regulation. We analyze two paths for recovery, ecological and economic (including timber and agroforestry systems). We consider the direct and indirect local costs, as well as monetized environmental benefits using the social cost of carbon and avoided soil erosion. According to our estimates, in 50 years, the recovery of the Araguaia Corridor will lead to net societal benefits with either the ecological (US$ 19.8 billion) or economic (US$ 18.9 billion) pathways in all macro-regions (north, central, and south) and rural property sizes (small, medium and large). The recovery captures 262 million tCO2eq and avoids 527 million tons of soil erosion with the economic path; these estimates are 23% and 1.7% higher, respectively, when using the ecological path. Importantly, we show that the restoration activity is not carbon credit dependent on being profitable when based on the economic path proposed. Additionally, this study highlights the high profitability of agroforestry systems, especially in small farms. There are also relevant local impacts, from 12 to 38 thousand new direct jobs. Even considering a limited menu of ecosystem services (carbon and soil), we show that social benefits from the Araguaia biodiversity corridor restoration exceed its social costs, justifying the subsidization of ecosystem restoration. In this sense, land use policies can incorporate mechanisms for financial support, grants, or incentives to encourage and facilitate ecosystem restoration efforts in the region.

Pain trajectories and neuropathic pain symptoms following lung cancer surgery: A prospective cohort study.

Persistent postsurgical pain (PPSP) after lung cancer surgery is common and current definitions are based on evaluations at a single time point after surgery. Pain intensity and symptoms may however fluctuate and change over time, and be impacted by multiple and shifting factors. Studies of postoperative recovery patterns and transition from acute to chronic pain are needed for further investigation of preventive measures and treatments to modify unfavourable recovery paths. In this explorative study, 85 patients undergoing surgery due to either presumptive or confirmed lung cancer reported pain intensities bi-monthly for 12 months. Pain trajectories during recovery were investigated, using group-based trajectory modelling. Associations with possible risk factors for PPSP, including clinical variables and anxiety and depression score (HADS), were also explored. A trajectory model containing three 12-month pain recovery groups was computed. One group without PPSP fully recovered (50%) within two to three months. Another group with mild-intensity PPSP followed a protracted recovery trajectory (37%), while incomplete recovery was observed in the last group (13%). Acute postoperative pain and younger age were associated with a less favourable recovery trajectory. More neuropathic pain symptoms were observed in patients with incomplete recovery. Three clinically relevant recovery trajectories were identified, based on comprehensive pain tracking. Higher acute postoperative pain intensity was associated with an unfavourable pain recovery trajectory. Understanding the transition from acute to chronic postoperative pain and identifying preoperative risk factors is essential for the development of targeted treatments and the implementation of preventive measures. This study (1) identified distinct recovery trajectories based on frequent pain assessment follow-ups for 12 months after surgery and (2) evaluated risk factors for unfavourable postoperative pain recovery paths. Findings suggest that early higher postoperative pain intensity is associated with an unfavourable long-term recovery path.

Mental Health Problems and Recovery Paths of “Left-behind Generation” College Students —Taking a University in Henan Province as an Example

Mental Health Problems and Recovery Paths of “Left-behind Generation” College Students —Taking a University in Henan Province as an Example