Recovery Path Research Articles

Problem Caused by COVID-19 Pandemic on the Construction Industry of Akwa Ibom State, Nigeria

The chances to remedy the construction industry from its diverse problems have weakened due to the breakout of the COVID-19 pandemic in 2020. Although the pandemic is almost reduced to history, its impacts linger with acute effects on the industry’s performance. This study investigated the impact of the COVID-19 pandemic on the construction sector of Akwa Ibom State, Nigeria with a specific focus on problems caused by the COVID-19 pandemic. Using survey research design, structured questionnaires were administered to 213 respondents (61 Architects, 32 builders, 46 quantity surveyors, and 74 Civil Engineers). Data analysis involved mean item scores, Chi-Square and Kruskal Wallis tests. The findings revealed that COVID-19 has severed the movement of people and interpersonal relationships, delayed project timelines, escalated transportation problems, and induced high costs of construction resources and project costs. The implication shows that stakeholders in the construction industry are still glued to work ethics during the COVID-19 period or are yet to modify behaviours into the industry norms in terms of human relations and movement. A change in perception is needed to restore the stakeholders to the traditional way of life through an awareness campaign, while the government needs to strengthen economic recovery policies and institute pro-construction industry parameters to reduce the cost of construction resources and overall project costs to accelerate the recovery path of the sector.

The Impact of Enhanced Recovery After Surgery (ERAS) Protocols in Colorectal Cancer Surgery

Background: Surgery represents the main treatment for patients diagnosed with colorectal cancer, but it may also be associated with severe complications, longer recovery periods, and poorer oncologic outcomes. The chance to perform surgery in a more quiescent patient could provide extremely interesting results. That's where the ERAS programs find their rationale. Materials and Methods: We reviewed studies available in the literature between January 1, 2010, and February 28, 2021, referring to the effectiveness of the ERAS programs specifically in the surgical field dedicated to colorectal cancer. Results: ERAS protocols, associated with surgery, are now well established. Several known medical complications, severe pain, and a slower return of motor functions after surgery seem to be the most distressing issues on patient recovery paths. Aiming to resolve these problems, several evidence-based strategies seem to be able to outdo these scenarios, helping to create a magical synergy, thanks to which the employed synergic measures would lead to a better, less painful, and less complicated patient journey. Conclusions: The ERAS approach seems to be able to significantly reduce the length of stay, medical costs, disability, pain, and physiological stress responses, through the improved delivery of a range of integrated, evidence-based interventions aimed at providing value for the patients, hospital organization, and healthcare system, providing benefits for both patients and hospitals, from the human and economic point of view.

Overtaking collision avoidance for small autonomous uncrewed aircraft using geometric keep-out zones

Autonomous uncrewed aircraft will require collision avoidance systems (CASs) designed with autonomy in mind as they integrate into the increasingly crowded national airspace system. Current uncrewed aircraft CASs typically require a remote pilot to execute avoidance or to provide poorly defined guidance that does not benefit autonomous systems. The Path Recovery Automated Collision Avoidance System (PRACAS) re-plans flight paths to autonomously adjust for collisions using path planners and keep-out zones (KOZs), but it does not currently detect or mitigate overtaking collisions. This work investigates the effect of geometric KOZs on overtaking scenarios for autonomous uncrewed aircraft. KOZ shapes were developed by relating relative velocities and turn rates of aircraft in overtaking scenarios and were tested using PRACAS. The operational ranges for approach heading, relative velocity, and look-ahead time were then determined. The set of KOZs that were developed prevented intruder aircraft from entering the minimum separation distance of one wingspan from the mission aircraft in overtaking scenarios with look-ahead times between 5 and 12 s, relative velocities of 2–20, and approach angles between 110° and −110° measured from the heading of the main UAS. Minimum separation was maintained for low-speed encounters with relative velocities between 1.1 and 2.0 for look-ahead times between 2 and 8 s for all approach angles. With look-ahead times ranging from 5 to 8 s, overtaking collisions of all tested approach angles and relative speeds are handled with more than twice the separation required for success, showing that the KOZs developed are feasible in possible autonomous CASs.

Analysis of the Zimbabwe heads of Christian denominations’ call for a Sabbath on elections

The Zimbabwe heads of Christian denominations issued a pastoral letter proposing to postpone the general elections for seven years. The leaders argued that Zimbabwe’s political paralysis and the economic decline have a long history and they needed to be addressed. The leaders called for a national Sabbath on all political contestation to allow for the rebuilding of trust, and confidence, reset politics, and chart a shared way forward toward a comprehensive economic recovery path in a non-competitive political environment. Their views were criticised by politicians and individuals resulting in the Church leaders withdrawing the call. This article was aimed at analysing the church leaders’ theological justification of the Sabbath call. It also challenged the leaders’ muting of their prophetic voices at a time when they were supposed to shout louder on issues that direct political leaders to democratic elections that are controversially marred with mistrust, intimidations, abductions, and rigging.

Upcycling Waste Thermosetting Polyimide Resins into High-Performance and Sustainable Low-Temperature-Resistance Adhesives.

Thermosetting polyimide (PI) has attracted extensive attention for its excellent properties, but the approaches to its end-of-life management are not sustainable, posing great threat to the ecosystem. Herein, this work proposes a mild, sustainable, and full recovery path for recycling waste carbon fiber reinforced phenylethynyl end-capped PI resin composites. In addition to recycling reaction reagent and woven carbon fiber, degraded products (DPETI) can be fully and directly used as high-performance and sustainable adhesives. DPETI exhibits strong adhesion to various surfaces, with a maximum adhesion strength of 1.84MPa. Due to the strong supramolecular polymerization behavior without solvent dependence, DPETI demonstrates higher adhesive strength of 2.22MPa in the extreme environment (-196 °C), which is maintained even after 10 cycles. This work sparks a new thinking for plastic wastes recycling that is to convert unrecyclable wastes into new and sustainable materials, which has the potential to establish new links within circular economies and influence the development of materials science.

Social vulnerability and local economic outcomes during the COVID-19 pandemic

ABSTRACT This paper investigates factors associated with disparities in the exposure of US counties to the initial COVID-19 economic shock in early 2020 and their disparate economic recovery paths during the pandemic. We focus on three alternative composite measures of social vulnerability to disasters: the Centers for Disease Control and Prevention’s Social Vulnerability Index, the University of South Carolina’s Social Vulnerability Index and the Census Bureau’s Community Resilience Estimate. Empirical evidence under the conventional ‘global’ regression approach supports a cross-sectional correlation between the social vulnerability indices and local economic outcomes during the recovery phase, although the results are equivocal for characterising uneven local economic downturns triggered by the pandemic. Economic outcomes were dominated by other local characteristics, including population density, the share of hospitality employment, government policy measures and unobservable factors. In addition to validating the empirical relevance of the social vulnerability indices in the context of the COVID-19 pandemic, a geographically and temporally weighted autoregressive model offers insights into both disparate and clustering patterns across broad regions in the role of inherent sociodemographic attributes for characterising local economic dynamics over time.

Co-benefit scenario analysis on replacing aviation kerosene with sustainable aviation fuels in Africa

Sustainable Aviation Fuels (SAFs) are considered one of the potential ways for airlines to reduce emissions. However, African airlines may need more support using SAFs in underdeveloped regions. This paper calculates the carbon emissions from the international routes in Africa from 2019 to 2021 through the Modified Fuel Percentage Method (MFPM) and the ICAO standard method. The error rate is about 4.10%. Then, we predict the carbon emissions for each route and airline under different epidemic recovery paths and analyze the potential subsidies, the impact of SAFs price adjustment, and carbon trading price changes. It can be found that the more extensive the overall carbon emission base, the higher the cost of using SAFs. In addition, the higher the SAFs mixing ratio, the more the cost will increase. The average subsidy to promote SAFs will be 3492.82–3784.74 million dollars at a 50% mixed ratio. By 2025, if only the carbon price is not lower than 12.84 times the current price, or the SAF price is 1.412 times lower than the current aviation kerosene price, the African airlines may promote the SAFs.

US and European Stock Markets in Response to Exogenous Shocks: Cross-Regional Analysis of Dynamic Networks During the COVID-19 Pandemic

This study aims to analyse the impact of force majeure events or exogenous shocks, characterized by a high level of uncertainty, on the US and European stock market behaviour through cross-regional and inter-industrial comparisons. Based on the sample of 832 largest stock-listed companies publicly traded in both regions, the authors investigate whether specific regional and industrial differences in the stock market reaction to exogenous shocks—as exemplified by the ongoing COVID-19 pandemic—and their recovery paths to be determined. The novelty of the research conducted by the authors is underpinned by the application of a dynamic network analysis method—supported by the exponential random graph modelling—for a data sample of publicly traded companies, encompassing major players and industrial leaders in both regions. Furthermore, the methods are applied quarterly for an identical set of industries in cross-market comparison, within a time span of periods before, during and beyond the exogenous shock. The results reveal significant differences in the reaction of US and European stock markets to exogenous shocks, despite globally integrated financial markets. The connectivity of the largest listed companies on the US market is higher than the European ones. Thus, publicly traded companies in the United States are more likely to be closely connected to their industry peers. As demonstrated by a cross-market comparison of the European and US stock market network configuration, the US network reveals higher probabilities of intra-industrial connections of its market participants. In contrast, the European stock market exhibits fewer connections and a less dense network of market participants in times of uncertainty or exogenous shocks. Except for the European financial industry, which behaves similarly to its US counterpart, the overall interconnectedness of European companies is weaker within the uncertainty-related timespan. The latest could be partially explained by numerous national regulations being implemented at a country level, which are partly deviating from the EU single-market policies. In contrast to a relatively homogeneous setting of the US market, a low level of interconnectedness of publicly traded companies in Europe could be further argued by the application of non-harmonized industrial policies, with the latest being expanded during the ongoing crisis in selected European locations. This difference could also be explained by the absence of a mutual strategy for alleviating the effects of the COVID-19 pandemic in Europe. The obtained results could be valuable for academics, conducting similar thematic research; for portfolio investors, and policymakers in forecasting, reacting and assessing stock market behaviour overall—and at the level of industrial sectors in particular—in response to events characterized as force majeure, exogenous shocks or periods of uncertainty.

Who affiliates with SMART recovery? A comparison of individuals attending SMART recovery, alcoholics anonymous, both, or neither.

Mutual-help organizations (MHOs) play a crucial role for many individuals with alcohol use disorder (AUD) or other substance use disorders in achieving stable remission. While there is now substantial research characterizing who uses 12-step MHOs, very little is known about who becomes affiliated with newer and rapidly growing MHOs, such as Self-Management and Recovery Training ("SMART" Recovery). More research could inform knowledge regarding who may be best engaged by these differing pathways. We conducted a cross-sectional analysis of participants (N = 361) with AUD recruited mostly from the community who were starting a new recovery attempt and self-selected into one of four different recovery paths: (1) SMART Recovery ("SMART-only"; n = 75); (2) Alcoholics Anonymous ("AA-only"; n = 73); (3) Both SMART and AA ("Both"; n = 53); and (4) Neither SMART nor AA ("Neither"; n = 160). We compared the groups on demographics, clinical history, treatment and recovery support service use, and indices of functioning and well-being. We computed descriptives and conducted inferential analyses according to the data structure. Compared to study participants choosing AA-only or Both, SMART-only participants were more likely to be White, married, have higher income and more education, be full-time employed, and evince a pattern of lower clinical severity characterized by less lifetime and recent treatment and recovery support services usage, lower alcohol use intensity and fewer consequences, and less legal involvement. AUD symptom levels, lifetime psychiatric diagnoses, psychiatric distress, and functioning were similar across MHO-engaged groups. SMART Recovery appears to attract individuals with greater psychosocial stability and economic advantage and less severe histories of alcohol-related impairment and legal involvement. Findings suggest that certain aspects specific to the SMART Recovery group approach, format, and/or contents may appeal to individuals exhibiting this type of profile. As such, SMART appears to provide an additional resource that expands the repertoire of options for individuals with AUD who seek recovery.

Management of severe tricuspid valve regurgitation due to ruptured papillary muscle in a patient with mediastinitis early after heart transplant.

Even though severe tricuspid regurgitation is not uncommon after cardiac transplantation, primary severe tricuspid regurgitation is rare. We present such a case with additional complexities. The patient was 44-year-old man with a HeartWare durable left ventricular assist device (Heartware Inc) who received a temporary right ventricular assist device (RVAD) with a ProtekDuo cannula (LivaNova Inc USA) for refractory ventricular fibrillation and underwent a heart transplant as United Network for Organ Sharing Status 1, in the presence of partially compensated cardiogenic shock, renal failure. Given complex re-operative surgery in a volume-overloaded patient with unknown pulmonary vascular resistance, an RVAD cannula was preserved and re- inserted during cardiac transplant. Postoperatively he required hemodialysis, had severe primary tricuspid regurgitation discovered after RVAD removal and developed Enterobacter mediastinitis. He underwent complex tricuspid valve repair for flail tricuspid leaflet due to ruptured papillary muscle likely due to RVAD cannula injury, after multiple mediastinal washouts and was followed by delayed chest reconstruction. The patient is doing well, 6 months after discharge to home, asymptomatic, without re-admissions, on renal recovery path, with no tricuspid regurgitation and good biventricular function. Replacing the tricuspid valve in presence of hemodialysis catheter, immunosuppression and mediastinitis could be high risk for endocarditis. Even though we have short-term follow-up, tricuspid valve repair can be an effective way of managing primary severe regurgitation especially when there is a desire or need to avoid valve replacement.

Evaluation Model for Seismic Resilience of Urban Building Groups

This paper analyzed the factors that influence the seismic resilience of urban building groups and studied the laws that influence internal factors and external factors. Based on the data from the first national comprehensive risk survey of natural disasters, a refined classification study of urban building groups was carried out. Based on the existing evaluation methods of seismic resilience of individual buildings, the recovery time was selected as the resilience evaluation index to calculate the effect of internal factors on the seismic resilience of urban building groups. Then, we studied the quantitative relationship between external factors (i.e., disaster relief capacity, population density, and economic level) and the evaluation indicators of seismic resilience of urban building groups, and we proposed the kilometer grid coefficient. Based on that, we proposed a calculation method of the effect of external factors on the seismic resilience of urban building groups. Considering the influence of internal and external factors, the evaluation model for the seismic resilience of urban building groups was established. And the model was applied in a typical city. This paper proposes a method to evaluate the seismic resilience of urban building groups, which can master the functional recovery time of urban building groups after an earthquake. Based on the proposed model, we can optimize the functional recovery path and emergency rescue path of the disaster area, as well as improve the resilience of urban building systems and the construction of resilient cities.

SHM-NDN: A seamless hybrid mobility management scheme for named data mobile ad hoc networks

Named Data Networking (NDN), a counterpart of address-centric networking resolves consumer mobility issues to some extent, however, it confronts excessive bandwidth consumption and network congestion problems in Mobile Adhoc Networks (MANET) due to an inefficient default request re-transmission mechanism. The producer mobility in NDN-based MANET, on the other hand, poses even worse challenges owing to the continuous flooding of location advertisement messages in the network. This paper aims to address the aforementioned producer and consumer mobility issues in MANET and proposes SHM-NDN, a seamless hybrid mobility management scheme for NDN-based MANETs. The proposed scheme features new packet types and extends the functionality of wireless mobile FIB data structure to support efficient mobility management. Moreover, the SHM-NDN proposes a path recovery mechanism to deal with the network partitioning problem caused by a low signal-to-noise ratio and high congestion rate. Through an extensive simulation study, we demonstrate that SHM-NDN achieves on average 12.2% less bandwidth and energy consumption compared to CBILEM. Similarly, SHM-NDN also attains on average 25% less bandwidth and energy consumption compared to EEIF.

Estimating resilience of manufacturing plants to physical disruptions: Model and application

The concept of Resilience is gaining an increasing importance in industrial systems, service networks and supply chains, as it extends traditional risk assessment methods by capturing both shortterm and long-term effects of accidents and disruptions. Resilience is, in fact, both a qualitative property and a performance indicator that measures the system's ability to survive disruptive events, and rapidly restore its functionality after the disruptive event has occurred. However, while literature about systems resilience is ample, comparatively scarce attention has been devoted to the evaluation of production systems resilience. As a contribution to fill this gap, in this paper a quantitative method for resilience estimation specifically aimed at manufacturing plants is developed. The method focuses on computing resilience of the manufacturing process, according to its structure, when resources are subjected to physical damage resulting from disruptive events such as sabotage, technical accidents or natural disasters. Overall, the paper allows to assess the economic loss and duration of production interruption in any kind of manufacturing plant when subjected to damage produced by the above causes. In particular, the method enables direct assessment of the initial capacity loss following a prescribed disruptive event, and explicit estimation of the time-dependent capacity recovery path based on the actual process structure and sequence of resources restoration tasks, also allowing the quantification of resulting economic losses. In the paper, after model development, an application example is provided to show model capabilities. Facility designers and emergency managers can use this model as a decision support tool for risk assessment, and to plan emergency actions and plant refurbishment aimed at resilience enhancement.

Resilience-based post-earthquake recovery strategies for substation systems

Electrical substation systems require significant manpower and material resources for repair after an earthquake; thus, repair efficiency directly affects economic loss. To quantify the functional recovery process of substation systems, this study proposes a seismic resilience assessment framework based on the functional characteristics of substation systems. Reliability models of the equipment and systems were constructed to characterise the structural connection features and power transmission paths of substation systems, and the system functional state matrix was obtained through a seismic simulation. Moreover, factors influencing functional recovery and repair path control parameters were proposed to determine efficient post-earthquake recovery strategies. The Monte Carlo method was used to construct a post-earthquake recovery strategy analysis framework for a substation system. By analysing a typical 220 kV substation using static-based repair strategies, we obtained the functional recovery process and seismic resilience level. Furthermore, based on the actual functional requirements, a dynamic recovery strategy analysis method was proposed based on an improved genetic algorithm. Notably, optimal recovery strategies for different earthquake intensities and recovery priorities were obtained through iterative reproduction analysis.

Design of an In-Band Control Plane for Automatic Bootstrapping and Fast Failure Recovery in P4 Networks

In this paper, we present the design of an in-band control plane system for P4 networks. The proposed in-band control plane performs automatic switch bootstrapping, network status monitoring, topology discovery and fast failover. The authentication and registration of newly connected switches are managed by the controller without manual intervention. The system can recover from any single link or single node failure in a short period of time. The recovery control paths for each single link and single node failure are prepared in advance. We propose an algorithm that takes recovery time into account for preplanning the recovery paths. In addition to handling any single failure, the proposed control plane is survivable even if there are multiple failures in the network. We implement an emulated network to evaluate the proposed control plane system. The experimental results show that the system successfully provides all the target functions.

Electronic Patient-Reported Outcome Monitoring to Improve Quality of Life After Joint Replacement

Although remote patient-reported outcome measure (PROM) monitoring has shown promising results in cancer care, there is a lack of research on PROM monitoring in orthopedics. To determine whether PROM monitoring can improve health outcomes for patients with joint replacement compared with the standard of care. A 2-group, patient-level randomized clinical trial (PROMoting Quality) across 9 German hospitals recruited patients aged 18 years or older with primary hip or knee replacement from October 1, 2019, to December 31, 2020, with follow-up until March 31, 2022. Intervention and control groups received the standard of care and PROMs at hospital admission, discharge, and 12 months after surgery. In addition, the intervention group received PROMs at 1, 3, and 6 months after surgery. Based on prespecified PROM score thresholds, at these times, an automated alert signaled critical recovery paths to hospital study nurses. On notification, study nurses contacted patients and referred them to their physicians if necessary. The prespecified outcomes were the mean change in PROM scores (European Quality of Life 5-Dimension 5-Level version [EQ-5D-5L; range, -0.661 to 1.0, with higher values indicating higher levels of health-related quality of life (HRQOL)], European Quality of Life Visual Analogue Scale [EQ-VAS; range, 0-100, with higher values indicating higher levels of HRQOL], Hip Disability and Osteoarthritis Outcome Score-Physical Function Shortform [HOOS-PS; range, 0-100, with lower values indicating lower physical impairment] or Knee Injury and Osteoarthritis Outcome Score-Physical Function Shortform [KOOS-PS; range, 0-100, with lower values indicating lower physical impairment], Patient-Reported Outcomes Measurement Information System [PROMIS]-fatigue [range, 33.7-75.8, with lower values indicating lower levels of fatigue], and PROMIS-depression [range, 41-79.4, with lower values indicating lower levels of depression]) from baseline to 12 months after surgery. Analysis was on an intention-to-treat basis. The study included 3697 patients with hip replacement (mean [SD] age, 65.8 [10.6] years; 2065 women [55.9%]) and 3110 patients with knee replacement (mean [SD] age, 66.0 [9.2] years; 1669 women [53.7%]). Exploratory analyses showed significantly better health outcomes in the intervention group on all PROMs except the EQ-5D-5L among patients with hip replacement, with a 2.10-point increase on the EQ-VAS in the intervention group compared with the control group (HOOS-PS, -1.86 points; PROMIS-fatigue, -0.69 points; PROMIS-depression, -0.57 points). Patients in the intervention group with knee replacement had a 1.24-point increase on the EQ-VAS, as well as significantly better scores on the KOOS-PS (-0.99 points) and PROMIS-fatigue (-0.84 points) compared with the control group. Mixed-effect models showed a significant difference in improvement on the EQ-VAS (hip replacement: effect estimate [EE], 1.66 [95% CI, 0.58-2.74]; knee replacement: EE, 1.71 [95% CI, 0.53-2.90]) and PROMIS-fatigue (hip replacement: EE, -0.65 [95% CI, -1.12 to -0.18]; knee replacement: EE, -0.71 [95% CI, -1.23 to -0.20]). The PROMIS-depression score was significantly reduced in the hip replacement group (EE, -0.60 [95% CI, -1.01 to -0.18]). In this randomized clinical trial, the PROM-based monitoring intervention led to a small improvement in HRQOL and fatigue among patients with hip or knee replacement, as well as in depression among patients with hip replacement. Deutsches Register Klinischer Studien ID: DRKS00019916.

Recovering Co3O4 from waste choline chloride/ethylene glycol electrolyte containing Co(II) ions along with solvent regeneration

Efficiently recovering critical metals from secondary resources is crucial to decreasing the environmental impact of mineral-resource mining and reducing production costs and process energy consumption. Herein, we propose a simple and comprehensive approach to recycle Co3O4 from waste choline chloride/ethylene glycol (named Ethaline) electrolyte containing Co(II) ions along with solvent regeneration. Through the rational coordination adjustment using water, [CoCl4]2− complex in the Ethaline-based electrolyte is transformed to [CoCl2(H2O)4]0 and [CoCl2(H2O)5]+ to facilitate precipitation separation. Adding oxalic acid (OA) as a precipitator can reach 97.1% cobalt recovery efficiency with a high value-added Co3O4 rod-like structure obtained by calcining the oxalate precipitate. In addition, the water-containing solvent can be regenerated via reduced pressure distillation with a high recovery efficiency of up to 98.0%. FT-IR and 1H NMR characterizations verify that the regenerated Ethaline exhibits good structural stability. Impressively, the proposed recovery path shows high recovery efficiencies for both cobalt and Ethaline in various practical Co(II) ion-containing electrolytes. This study establishes a novel technical pathway for the resource utilization of metal-bearing waste Ethaline electrolytes, which shows an excellent prospect in solvent recycling after metal processing.

Impurity Linked Genotoxicity assessment of the Antineoplastic Chemotherapy agent using Ames model

Genotoxicity is the property of chemical agents that damage the genetic information in a cell causing mutations. Genotoxicity study based on in vitro and in vivo method, helps to identify the unwanted effect of chemical entity. Its helps to find the place of DNAdamaging and the recovery paths. In the field of pharmacy there are many regulatory authoritiesworking to control genotoxicic impurities and its affect. In the genotoxicity study there are so many tests like Ames test, Screen test and Potato disk test. The Ames test is a widely employed method that uses bacteria to assess the chemical mutations capacity in the DNA of the test organism. More formally, it is a biological OECD appeal assay to assess the mutagenic potential of chemical compounds. The Ames test performed during the study showed that it can be used to identify the mutagenicity of Cytosine. Which consider as a process impurity present in gemcitabine hydrochloride.

734 A User-Centered Design Approach for a Burn Recovery Mobile Platform

Abstract Introduction People with burn injuries experience challenges in multiple domains including wound and scar management, pain/pruritus, psychosocial recovery, return-to-work, and community re-integration. Mobile software platforms can provide clear, concise, and consumable information across different stakeholder groups. These platforms require a user experience (UX) that values users’ expressed needs to maximize engagement with critical information. This study seeks to inform the UX for an outpatient mobile software platform to optimize recovery. Methods We performed semi-structured, in-depth interviews at a regional burn center with patients, clinicians, and carers to understand participant background, personal values, and requirements of a recovery platform. Interviews were transcribed and analyzed using grounded theory analysis and affinity mapping to surface major themes. Results Fourteen in-depth interviews (over 13.5 hours) were conducted with six patients, six clinicians, and two carers. Thematic analysis identified four principal themes and corresponding UX requirements: (1) Provide a clear path to recovery: need for easily understood temporal visualizations of recovery experiences in multiple domains. This includes outlining paths that list relatively individualized tasks critical for recovery. (2) Facilitate task habituation: UX to ease successful task performance such as daily schedules, reminders and integration of recovery tasks with activities of daily living. (3) Maintain motivation: recovery progress tracking, motivational messages and visualization of long-term recovery trends to maximize task adherence. Patients and clinicians identified goal-authoring and recovery progress as key motivators in performing recovery tasks. (4) Create a burn community: access to other people with burn injuries through integrated forums. Neither patients nor clinicians desired to directly communicate with each other through the platform, instead preferring existing electronic health record methods. Conclusions This study identified initial UX requirements for a person with burn injury-centered platform. There is strong support for temporal representations of recovery paths across multiple domains, UX design to facilitate and motivate users to stay engaged in performing critical recovery tasks, and access to the burn community. Applicability of Research to Practice Interviews of prospective users outlined four important features to include in the UX design of an online burn recovery platform.

METHOD OF LOCAL RESTORATION OF SEGMENTS OF INFORMATION SIGNALS

The use of centralized and decentralized electricity supply schemes, the introduction of feedback between the consumer of electricity and its producer led to a rapid increase in information flows at all stages of the functioning of the electricity industry of Ukraine, starting with the production of electricity and before its consumption. This necessitates the processing, storage and transmission of large data sets. On the other hand, the time constraints imposed on information processing and decision-making efficiency, as well as the limited bandwidth of communication networks require effective optimization of information flows in terms of their compression and compact storage, transmission and recovery without loss. At the same time, the determining quantitative and qualitative information parameters are electricity consumption modes and the quality of electric energy, and the main mode parameter for solving many problems of planning, management and carrying out commercial calculations is the graphs of electric load. Based on the analysis of the functional relationships of wavelet coefficients according to the levels of wavelet decomposition, the robot presents a modified reconstruction scheme and developed a model based on which a method of local (segmental) restoration of information signals according to the levels of wavelet detail is synthesized using the example of the electric load graph. In the paper, a model of local recovery of time segments of information signals is proposed and a sequential algorithm of actions synthesized on its basis. This technique allows for effective segmentation of information signals, reduces the duration of mathematical processing, simplifies database analysis, increases the effectiveness of controlling the reliability of initial data recovery by reserving recovery paths with subsequent comparison of results.