Foundational Results of Optimal Recovery

Venous Sinus Stenting: Safety and Health Care Resource Evaluation for Optimal Recovery in an Evolving Health Care Environment

Modern storage systems use thousands of inexpensive disks to meet the storage requirement of applications. To enhance the data availability, some form of redundancy is used. For example, conventional RAID-5 systems provide data availability for single disk failure only, while recent advanced coding techniques such as row-diagonal parity (RDP) can provide data availability with up to two disk failures. To reduce the probability of data unavailability, whenever a single disk fails, disk recovery (or rebuild) will be carried out. We show that conventional recovery scheme of RDP code for a single disk failure is inefficient and suboptimal. In this paper, we propose an optimal and efficient disk recovery scheme, Row-Diagonal Optimal Recovery (RDOR), for single disk failure of RDP code that has the following properties: (1) it is read optimal in the sense that it issues the smallest number of disk reads to recover the failed disk; (2) it has the load balancing property that all surviving disks will be subjected to the same amount of additional workload in rebuilding the failed disk. We carefully explore the design state space and theoretically show the optimality of RDOR. We carry out performance evaluation to quantify the merits of RDOR on some widely used disks.

As long as extended producer responsibility comes to effect, appliance producers should take the responsibility to recover and reuse the products. Thus, how to disassemble and reuse the discarded appliances scientifically and work out the optimal recovery and disposal strategies are now the key problems the appliance producers confront with. This paper adopts theories related to products regeneration management and disassembly and recovery assessment. It firstly deals with the disassembly stage of discarded appliances recovered and the principle of disassembly evaluation. It then takes the recovery of discarded computers as an example, setting up the disassembly tree, comparing the different strategies between reusing and recovering discarded appliances and waste disposal. What's more, it analyzes the feasibility of the recovery and disposal plan from the prospects of economy, environmental protection, technology and law, establishes the feasibility criteria and eventually sets up 0–1 goal programming mathematical models, carrying out the quantitative calculation toward the economic and environment load of the plan, which deals with the recovery and disposal plan for discarded appliance, in order to provide better help for the appliance producers to determine and choose an optimal plan for recovery and disposal.

Model predictive and reallocation problem for CubeSat fault recovery and attitude control

Modern storage systems use thousands of inexpensive disks to meet the storage requirement of applications. To enhance the data availability, some form of redundancy is used. For example, conventional RAID-5 systems provide data availability for single disk failure only, while recent advanced coding techniques such as row-diagonal parity (RDP) can provide data availability with up to two disk failures. To reduce the probability of data unavailability, whenever a single disk fails, disk recovery (or rebuild) will be carried out. We show that conventional recovery scheme of RDP code for a single disk failure is inefficient and suboptimal. In this paper, we propose an optimal and efficient disk recovery scheme, Row-Diagonal Optimal Recovery (RDOR), for single disk failure of RDP code that has the following properties: (1) it is read optimal in the sense that it issues the smallest number of disk reads to recover the failed disk; (2) it has the load balancing property that all surviving disks will be subjected to the same amount of additional workload in rebuilding the failed disk. We carefully explore the design state space and theoretically show the optimality of RDOR. We carry out performance evaluation to quantify the merits of RDOR on some widely used disks.

ObjectiveThe current study used a composite outcome to investigate whether applying the ERAS protocol would enhance the recovery of patients undergoing laparoscopic total gastrectomy (LTG).ExposuresLaparoscopic total gastrectomy and perioperative interventions were the exposure. An ERAS clinical pathway consisting of 14 items was implemented and assessed. Patients were divided into either ERAS-compliant or non-ERAS-compliant group according the adherence above 9/14 or not.Main outcomes and measuresThe primary study outcome was a composite outcome called ‘optimal postoperative recovery’ with the definition as below: discharge within 6 days with no sever complications and no unplanned re-operation or readmission within 30 days postoperatively. Univariate logistic regression analysis and multivariate logistic regression analysis were used to model optimal postoperative recovery and compliance, adjusting for patient-related and disease-related characteristics.ResultsA total of 252 patients were included in this retrospective study, 129 in the ERAS compliant group and 123 in the non-ERAS-compliant group. Of these, 79.07% of the patients in ERAS compliant group achieved optimal postoperative recovery, whereas 61.79% of patients in non-ERAS-compliant group did (P = 0.0026). The incidence of sever complications was lower in the ERAS-compliant group (1.55% vs. 6.5%, P = 0.0441). No patients in ERAS compliant group had unplanned re-operation, whereas 5.69% (7/123) of patients in non-ERAS-compliant group had (p = 0.006). The median length of the postoperative hospital stay was shorter in the in the ERAS compliant group (5.51 vs. 5.68 days, P = 0.01). Both logistic (OR 2.01, 95% CI 1.21–3.34) and stepwise regression (OR 2.07, 95% CI 1.25–3.41) analysis showed that high overall compliance with the ERAS protocol facilitated optimal recovery in such patients. In bivariate analysis of compliance for patients who had an optimal postoperative recovery, carbohydrate drinks (p = 0.0196), early oral feeding (P = 0.0043), early mobilization (P = 0.0340), and restrictive intravenous fluid administration (P < 0.0001) were significantly associated with optimal postoperative recovery.Conclusions and relevancePatients with higher ERAS compliance (almost 70% of the accomplishment) suffered less severe postoperative complications and were more likely to achieve optimal postoperative recovery.

A 25-l scale protocol is devised for the optimal secretion and recovery of fungal cellulase. Using a selected higher yieldingTrichoderma viride SMC strain, a protocol consisted of: a) an optimized production medium rich in microcrystalline cellulose (MCC), fortified with 1% (w/v) ammonium sulphate, 0.5% (w/v) soybean flour, 0.1% (v/v) Tween-80 and other trace nutrients; b) optimized physical parameters of production, such as an inoculum containing a homogeneous suspension of 6×107 conidia per 1,28±1°C, pH 4.0±0.5, 300±20 rpm, 11000±1000 l/h aeration, and 170–220 h duration; c) optimal recovery through a filter press (450 l/h rate of filtration) followed by precipitation with 2.5–3.0 volumes of acetone (15°C and basket centrifugation (27°C, 1700 rpm)); and d) vacuum drying (35°C, 4–6 h). This afforded 70% recovery of cellulase in the form of white fluffy powder containing 20000±2000 carboxy methyl cellulase and 1000±50 units filter paperase per g activities, with raw material cost of US$ 8–10 per million carboxy methyl cellulase units. During storage for 18 months at 4°C, ambient temperature and 37°C, the cellulase preparation was found to retain 100, 75 and 60% of its initial activity, respectively.

Background: The incidence of hip arthroscopy for femoroacetabular impingement (FAI) has substantially increased in recent years. Hip arthroscopy for FAI generally results in good symptomatic relief and improved functioning, although prior studies have demonstrated variability in patient outcomes. Currently, no studies have used qualitative methods to understand the experiences of individuals recovering from hip arthroscopy for FAI, including the perceived impact of surgery and facilitators and barriers to the rehabilitation and recovery process. Understanding the experiences of individuals recovering from hip arthroscopy for FAI is critical for developing effective interventions and strategies to promote optimal function and recovery after surgery. Methods: We conducted qualitative interviews with 12 individuals (9 females and 3 males) aged 19-78 years old following hip arthroscopy for FAI. All interviews were conducted by phone approximately six weeks following surgery. Interviews were recorded and transcribed. Data were analyzed using thematic analysis. Results: We identified eight themes: (1) role of social support, (2) physical, social, and emotional needs throughout recovery, (3) emotional response to the rehabilitation process, (4) influence of mental health on recovery, (5) impact of surgery on quality of life and wellbeing, (6) barriers and facilitators to rehabilitation and recovery, (7) interventions to promote mental health throughout the rehabilitation and recovery process, and (8) advice for future hip arthroscopy patients. Conclusions: Hip arthroscopy can positively influence quality of life and wellbeing in individuals with FAI, although patients often experience challenges during the initial postoperative period. Meeting patients’ fundamental care and emotional needs are essential for positive patient experiences and optimal recovery. Individuals’ social support systems must also be considered throughout the rehabilitation and recovery process. Our findings suggest that individuals recovering from hip arthroscopy for FAI may benefit from interventions and resources that promote mental well-being and enhance social support throughout the rehabilitation and recovery process. As such, interventions and resources to enhance mental well-being and social support need to be developed for and tested in individuals recovering from hip arthroscopy for FAI.

A parametric study of electrocoagulation as a recovery process of marine microalgae for biodiesel production

To evaluate the recovery of urinary functions and the factors predicting urinary recovery, following delayed decompression in complete cauda equina syndrome (CESR) secondary to Lumbar disc herniation (LDH). Retrospective study evaluated 19 cases of CESR due to single-level LDH, all presenting beyond 72h. Mean delay in decompression was 11.16 ± 7.59days and follow-up of 31.71 ± 13.90months. Urinary outcomes were analysed on two scales, a 4-tier ordinal and a dichotomous scale. Logistic regression analysis was used for various predictors including delay in decompression, age, sex, radiation, level of LDH, motor deficits, type and severity of presentation. Time taken to full recovery was correlated with a delay in decompression. using Spearman-correlation. Optimal recovery was seen in 73.7% patients and time to full recovery was moderately correlated with a delay in decompression (r = 0.580, p = 0.030). For those with optimal bladder recovery, mean recovery time was 7.43 ± 5.33months. Time to decompression and other evaluated factors were not found contributory to urinary outcomes on either scales. Three (15.8%) patients had excellent, 11 (57.9%) had good, while 3 (15.8%) and 2 (10.5%) had fair and poor outcomes respectively. Occurrence of CESR is not a point of no-return and complete recovery of urinary functions occur even after delayed decompression. Longer delay leads to slower recovery but it is not associated with the extent of recovery. Since time to decompression is positively correlated with time to full recovery, early surgery is still advised in the next available optimal operative setting. IV.

This narrative review aims to consolidate existing knowledge on nutritional strategies that optimize athletic performance and recovery, highlighting the significance of tailored nutritional plans for athletes. A comprehensive literature search was performed across several databases, focusing on peer-reviewed studies, reviews, and consensus statements related to sports nutrition. The review emphasizes macronutrients, micronutrients, hydration, supplementation, and the timing of intake in relation to athletic performance and recovery. The review identifies that personalized nutrition plans, which consider individual athlete needs and sport-specific demands, are crucial for enhancing performance and facilitating recovery. It also underscores the importance of hydration, balanced intake of macronutrients, and the cautious use of supplements. Nutritional strategies are fundamental to achieving peak athletic performance and optimal recovery. Future research should focus on personalized nutrition and the effects of long-term supplement use. Athletes and professionals are encouraged to adopt evidence-based nutritional practices tailored to individual needs and sport-specific requirements.

The problem of multiple sensors simultaneously acquiring measurements of a single object can be found in many applications. In this paper, we present the optimal recovery guarantees for the recovery of compressible signals from multi-sensor measurements using compressed sensing. In the first half of the paper, we present both uniform and nonuniform recovery guarantees for the conventional sparse signal model in a so-called distinct sensing scenario. In the second half, using the so-called sparse and distributed signal model, we present nonuniform recovery guarantees which effectively broaden the class of sensing scenarios for which optimal recovery is possible, including to the so-called identical sampling scenario. To verify our recovery guarantees we provide several numerical results including phase transition curves and numerically-computed bounds.

Cryopreservation is a key step for the effective delivery of many cell therapies and for the maintenance of biological materials for research. The preservation process must be carefully controlled to ensure maximum, post-thaw recovery using cooling rates slow enough to allow time for cells to cryodehydrate sufficiently to avoid lethal intracellular ice. This study focuses on determining the temperature necessary at the end of controlled slow cooling before transfer to cryogenic storage which ensures optimal recovery of the processed cell samples. Using nucleated, mammalian cell lines derived from liver (HepG2), ovary (CHO) and bone tissue (MG63) this study has shown that cooling must be controlled to -40°C before transfer to long term storage to ensure optimal cell recovery. No further advantage was seen by controlling cooling to lower temperatures. These results are consistent with collected differential scanning calorimetry data, that indicated the cells underwent an intracellular, colloidal glass transition between -49 and -59°C (Tg’i) in the presence of the cryoprotective agent dimethyl sulfoxide (DMSO). The glass forms at the point of maximum cryodehydration and no further cellular dehydration is possible. At this point the risk of lethal intracellular ice forming on transfer to ultra-low temperature storage is eliminated. In practice it may not be necessary to continue slow cooling to below this temperature as optimal recovery at -40°C indicates that the cells have become sufficiently dehydrated to avoid further, significant damage when transferred into ultra-low temperature storage.

Many practical sensing applications involve multiple sensors simultaneously acquiring measurements of a single object. Conversely, most existing sparse recovery guarantees in compressed sensing concern only single-sensor acquisition scenarios. In this paper, we address the optimal recovery of compressible signals from multi-sensor measurements using compressed sensing techniques. This confirms the benefits of multi-over single-sensor environments in the sense of reducing the number of measurements required per sensor, and therefore, depending on the application, the total time, power or cost. Throughout the paper we consider a broad class of sensing matrices, and two fundamentally different sampling scenarios (distinct and identical respectively), both of which are relevant to applications. For the case of diagonal sensor profile matrices (which characterize environmental conditions between a source and the sensors), this paper presents two key improvements over existing results. First, a simpler optimal recovery guarantee for distinct sampling, and second, an improved recovery guarantee for identical sampling, based on the so-called sparsity in levels signal model.

Obtaining the desired signals in wireless sensor networks can be challenging due to various constraints on sensor placement or deployment. Retrieving the information accurately from sensors placed at non-uniform locations, is a problem of sensor communication and signal interpolation. In this research, the optimal recovery (OR) method, a deterministic framework that can use a priori bandwidth or spectral shape information, is used to interpolate from the given non-uniformly spaced samples. The error to be minimized is the maximum possible norm difference over a set of feasible signals. In the OR problem formulation and solution, the role of worst case feasible signals can be recognized but these signals are very difficult to find analytically. Computer simulations of feasible signals can help to produce estimates of the theoretical minimal worst-case error bounds. In this paper, monitoring of OR error bounds serves to assess sensor deployment configuration quality and to optimize the placement of additional sensors. Starting from an initial configuration of sensors, optimal deployment of additional sensors is clearly a more powerful option than random deployment of such sensors. These two approaches are compared and contrasted to show the improvement that is possible using the OR framework for one-dimensional and two-dimensional signals.