Recovery Framework Research Articles

Economic examination and multi-objective optimization of integrating a novel geothermal-driven combined cooling and power (CCP) system using a bi-evaporator cycle with a low-temperature electrolyzer

Concerning substantial waste heat in geothermal cycles, this study suggests and investigates the feasibility of a novel framework of waste heat recovery for a double-flash binary geothermal cycle. In this manner, a novel design of an ejector-based bi-evaporator technology is configured and integrated with the geothermal cycle. For better applicability, a low-temperature electrolyzer, i.e., proton exchange membrane electrolyzer (PEME), is joined to the whole configuration producing electricity, cooling, and hydrogen simultaneously. This arrangement is analyzed from the exergy and cost viewpoints using the engineering equation solver (EES) software and is optimized coupling EES and MATLAB programming. A non-dominated sorting genetic algorithm (NSGA-II) optimization method is utilized by which the objective functions, i.e., exergy efficiency and sum unit cost of products, are computed at 40.3% and 6.9 $/GJ, respectively. Additionally, the optimum values of the produced electricity, cooling, and hydrogen are correspondingly equal to 4.29 MW, 1.90 MW, and 4.51 kg/h. In the optimum state, the major irreversibility source is ejector 1 with a 16.8% contribution to the total exergy destruction rate (= 5745.7 kW). Furthermore, turbine 1 is the expensive component among the established devices with a 22.3% contribution to the total investment cost rate (= 172.3 $/h).

Layanan Konseling Individual Pada Pasien HIV AIDS (Studi Kasus di RSJD Sungai Bangkong Provinsi Kal-Bar)

Every human being craves happiness. But happiness is not that easy to feel for people who are infected with the HIV AIDS virus. Not infrequently they feel mental pressure and stigma of society that is not good so that feeling defresi even leads to suicide. Efforts that can be done in the framework of mental recovery of HIV AIDS patients are through individual counseling. In the process of individual counseling of HIV aids patients can be done through four stages. The fundamental reason for this study was conducted was to dig up information related to individual counseling in HIV AIDS, especially in Bangkong River Hospital in West Kalimantan Province through a qualitatively derifriftive approach with case study methods. After receiving individual counseling services, most consors showed many positive changes by showing an open attitude and being able to accept their status as an ODHA. Konseli is also no longer minder to get along in the midst of society. In fact, some people also feel as if they have new hopes and life goals such as being small businesses such as trading fried foods or selling gravy.

Build back better: A framework for sustainable recovery assessment

Build Back Better (BBB) is a strategy published as part of the Sendai Framework which has been widely adopted to achieve long-term, effective and sustainable disaster recovery. Assessment of disaster recovery is crucial for improving understanding of the difficulties and insufficiencies experienced during the reconstruction process and to better support disaster risk reduction policies and investment. However, with the focus being on optimizing the economic and physical environment, citizens’ preferences remain unexamined in existing literature. Therefore, this study aims to create a sustainable recovery framework which takes into account the needs of citizens. Based on systems theory, the proposed framework evaluates the sustainable recovery level of families and communities from three dimensions, namely: Element, Structure, and Function. The Best Worst Method (BWM) was used, involving two rounds of interviews with 11 experts, to determine evaluation indexes for each dimension. The Element dimension consists of five sustainable livelihood capitals. The Structure dimension includes community social capital, leadership, and social governance. The Function dimension includes disaster preparedness, disaster response, immediate recovery, and disaster learning. The proposed framework was used to investigate the degree of sustainable recovery in four towns in Wenchuan County, Mainland China. Through interviews and large-scale surveys, the internal mechanisms that influence the level of sustainable recovery in different communities were identified. Practical recommendations are provided to improve disaster recovery management in developing regions. The proposed framework can assist in the development of recovery standards and evaluations at different levels in China and other parts of the world.

Circular Economy Framework for Energy Recovery in Phytoremediation of Domestic Wastewater

Circular economy (CE) strategy is crucial in developing towards sustainable growth. It was created to promote resource utilization and the elimination of waste production. This article aimed to study the possibilities of using the CE framework in wastewater bioremediation and energy recovery using hydroponic tanks. The integration of phytoremediation with bioenergy, construction and lifespan of hydroponic tanks in phytoremediation of wastewater, selection of aquatic plants and the expected challenges in the implementation of CE in phytoremediation of wastewater were discussed. The plant-based biomass harvested and the relative growth rate (RGR) of the selected plants from the phytoremediation process was evaluated. The findings obtained indicated that the selected plants tripled in weight after 14 days cultivation period at different retention times. E. crassipes recorded the highest growth with 2.5 ± 0.03 g g−1 d−1, followed by S. molesta with 1.33 ± 0.05 g g−1 d−1 and then P. stratiotes recorded 0.92 ± 0.27 g g−1 d−1 at the end of the cultivation period. Therefore, the selected plants have been identified as having the potential to be used in phytoremediation as well as a source of energy production. The outcome of our review suggested the adoption of a lifecycle assessment as the CE framework for the phytoremediation of wastewater.

Crisis recovery in surgery: Error management and problem solving in safety-critical situations

BackgroundSurgical crises, both clinical and executive, carry risk of harm to patients, staff, and organizations. Once stabilized and contained, crisis recovery requires complex decision-making and problem-solving to address primary failures (errors) and their consequences. In contrast to other safety-critical professions, surgeons may lack access to crisis recovery strategies and tools that go beyond the technical aspects of clinical practice. This study aims to develop a framework for surgical crisis recovery based on problem-solving interventions used by pilots in commercial aviation. MethodsThis study undertook observational fieldwork, semistructured interviews, and focus groups with senior airline pilots and health care safety experts. Thematic analysis using the framework method identified key interventions applicable to surgical crisis recovery. Subsequently, expert group consensus adapted and content validated this model for clinical use. ResultsQualitative data from 22 aviation and health care safety experts informed surgical crisis resolution. This consisted of 3 strategies: (1) building cognitive capacity by improving situational awareness and workload management; (2) using checklists in abnormal situations to implement emergency operating procedures; (3) undertaking structured decision-making using analysis-based problem-solving cycles (eg, T-DODAR framework). Twelve tools were validated and adapted to aid implementation of these strategies. ConclusionOnce stabilized, surgical crises may be resolved using 3 sequential strategies derived from commercial aviation.

Having a Say in Research Directions: The Role of Community Researchers in Participatory Research with Communities of Refugee and Migrant Background.

Research teams in high-income countries often fail to acknowledge the capacity and contributions of Community Researchers. This qualitative exploratory study used decolonising methodology and the Foundation House ‘Refugee Recovery Framework’ to understand Community Researchers’ perceptions and experiences of their role, and how research teams can integrate the knowledge they bring into research. Purposive sampling was used to facilitate the recruitment of eight Community Researchers from five different community groups working in Melbourne, Victoria. Semi-structured interviews lasting forty to sixty minutes occurred between December 2020 and January 2021. Data were analysed using reflexive thematic analysis. Findings reported in this paper include eight themes: ‘nothing about us without us’; ‘open the door’; a safe space to share; every step of the way; this does not translate; finding the right way to ask; a trauma-informed approach; and support within the workplace. The knowledge obtained demonstrates that Community Researchers facilitate meaningful participation in research for women, families, and communities of refugee or migrant background. Community Researchers’ presence, knowledge, and skills are vital in establishing culturally safe research practices and developing accessible language to facilitate conversations about sensitive research topics across multiple languages. Community Researchers can make important contributions at all stages of research, including data collection and interpretation.

Ransomware-Resilient Self-Healing XML Documents

In recent years, various platforms have witnessed an unprecedented increase in the number of ransomware attacks targeting hospitals, governments, enterprises, and end-users. The purpose of this is to maliciously encrypt documents and files on infected machines, depriving victims of access to their data, whereupon attackers would seek some sort of a ransom in return for restoring access to the legitimate owners; hence the name. This cybersecurity threat would inherently cause substantial financial losses and time wastage for affected organizations and users. A great deal of research has taken place across academia and around the industry to combat this threat and mitigate its danger. These ongoing endeavors have resulted in several detection and prevention schemas. Nonetheless, these approaches do not cover all possible risks of losing data. In this paper, we address this facet and provide an efficient solution that would ensure an efficient recovery of XML documents from ransomware attacks. This paper proposes a self-healing version-aware ransomware recovery (SH-VARR) framework for XML documents. The proposed framework is based on the novel idea of using the link concept to maintain file versions in a distributed manner while applying access-control mechanisms to protect these versions from being encrypted or deleted. The proposed SH-VARR framework is experimentally evaluated in terms of storage overhead, time requirement, CPU utilization, and memory usage. Results show that the snapshot size increases proportionately with the original size; the time required is less than 120 ms for files that are less than 1 MB in size; and the highest CPU utilization occurs when using the bzip2. Moreover, when the zip and gzip are used, the memory usage is almost fixed (around 6.8 KBs). In contrast, it increases to around 28 KBs when the bzip2 is used.

Iterative algorithm for discrete structure recovery

We propose a general modeling and algorithmic framework for discrete structure recovery that can be applied to a wide range of problems. Under this framework, we are able to study the recovery of clustering labels, ranks of players, signs of regression coefficients, cyclic shifts and even group elements from a unified perspective. A simple iterative algorithm is proposed for discrete structure recovery, which generalizes methods including Lloyd’s algorithm and the power method. A linear convergence result for the proposed algorithm is established in this paper under appropriate abstract conditions on stochastic errors and initialization. We illustrate our general theory by applying it on several representative problems: (1) clustering in Gaussian mixture model, (2) approximate ranking, (3) sign recovery in compressed sensing, (4) multireference alignment and (5) group synchronization, and show that minimax rate is achieved in each case.

Metrics Analysis Framework of Control and Management System for Resilient Connected Community Microgrids

This paper proposes a novel metrics analysis of the control and management system for an efficient and resilient post-hurricane integrated recovery framework. To enhance the resiliency of networked-microgrids (MGs), resources such as mobile emergency resources (MERs), electric vehicles (EVs), and energy storage systems (ESSs) associated with the reconfiguration strategy are utilized to decrease blackouts to a minimum time. In the proposed method, the local power-flow path is actively altered by the network reconfiguration. This capability allows restoring critical loads and minimizing the energy not supplied (ENS) to the local consumers. Islanded loads that need truck-mounted MERs are simultaneously determined through optimal scheduling. The role of MERs is to deliver power to the islanded load regarding optimal routes. To produce optimal routes and to avoid out-of-service roads, the well-known Dijkstra's algorithm is used in this study. The proposed method aims to maximize system resiliency through the integrated single-objective optimization problem, associated with evaluating the metrics, to assess the control system performance from a resiliency index perspective. Simulation results on a 69-bus test system indicate satisfactory performance and effectiveness of the proposed method.

Trauma-oriented recovery framework with offenders: A necessary missing link in offenders' rehabilitation

Research has shown that incarcerated individuals experience significantly higher rates of trauma prior to and during incarceration, compared with the general population. However, despite the rich evidence regarding traumatic backgrounds, and evidence of a link between trauma and (re)offending, trauma-informed practice among inmates, particularly among men, is still limited. The paucity of trauma-informed services among inmates may be due to the deeply polarized victimization and criminal paradigms, that ignore the empirical overlap between victims and offenders. Given this limitation, the aim of this article is to outline a Trauma-Orientated Recovery Framework (TORF) for offenders, by synergizing positive victimology with a positive criminology perspective. These holistic perspectives highlight the value of promoting personal, interpersonal, and spiritual integration. Accordingly, this practice framework outlines guidelines for formal and informal interventions, to achieve recovery and rehabilitation by promoting positive experiences such as self-compassion, family involvement, forgiveness, service to others, social support, recovery-oriented carceral environments, and spiritual growth. By providing a comprehensive framework, these guidelines target symptoms of multilevel trauma, and encourage the incarcerated individual to living a life worth living, in a bid to help them connect with community, and foster their spiritual growth, thereby making great strides toward addressing recidivism. • Incarcerated individuals experience significantly higher rates of trauma before and during incarceration. • The trauma-informed practice among inmates, particularly among men, is still limited. • A Trauma-oriented recovery framework for offenders that combines the process of recovery and rehabilitation is presented. • The Trauma-oriented recovery framework addresses multilevel trauma impacts in personal, interpersonal, and spiritual domains. • Addressing trauma in correction settings may be an important step in reducing recidivism.

Exceptionally amino-quantitated 3D MOF@CNT-sponge hybrid for efficient and selective recovery of Au(III) and Pd(II)

• High-performance hybrid 30-MCNT was prepared for Au and Pd recovery. • 30-MCNT shows a superior selectivity to Au and Pd among other ten metals. • CNT sponge provides easier handpicked recycle framework to enhance recyclability. • Exceptional amino groups play the most critical roles for Au and Pd adsorption. • DFT simulation calculation elucidates interaction mechanisms during adsorption. Designing materials for selective recovery of precious metals is a critical challenge in response to recent outbreaks of electronic wastes owing to economic and environmental concerns. We introduced high-performance hybrid materials (MCNTs) comprising of six-amino groups based on hexaaminobenzene metal-organic framework (HAB-MOF) and carbon nano-tube (CNT) sponge for selective recovery of Au(III) and Pd(II). Among all MOFs ever reported in the literature, the particular synthesized 30-MCNT (30 mg HAB-MOF on CNT sponge) exhibited the highest adsorption capacity ( q e ) of 1832 mg/g (45 °C, pH 3.0) for Au(III) and 1651 mg/g (45 °C, pH 1.0) for Pd(II), which can be regarded as a benchmark in the MOF family. The highly selective nature of 30-MCNT was examined in the presence of ten different metal ions and the results showed that the Au(III)/Pd(II) adsorption efficiency was decreased by only 5–10%. Moreover, the Au(III) and Pd(II) recovery was maintained ∼ 100% from the initial solution with metal concentration of 200 mg/L. The superior performance was mainly attributed to the role of abundant amino groups in the hybrid framework, developing several types of interactions with Au(III) and Pd(II) ions such as hydrogen bonding, electrostatic interactions, acid-base affinity and π-π inner sphere complexation. Furthermore, the remarkably high surface area and robust chemical and mechanical stability of CNT-sponge provided an exceptional support for impregnation of HAB-MOF to avail greater active sites and easier handpicked recycle. Density functional theory (DFT) simulation and X-ray photoelectron spectroscopy (XPS) studies were employed to explore the interaction mechanisms during the adsorption processes. Owing to facile and environment-friendly synthesis, excellent recovery and recycling, the material can be possibly considered for industrial application in precious metal recovery.

Proactive and AoI-Aware Failure Recovery for Stateful NFV-Enabled Zero-Touch 6G Networks: Model-Free DRL Approach

In this paper, we propose a Zero-Touch, deep reinforcement learning (DRL)-based Proactive Failure Recovery framework called ZT-PFR for stateful network function virtualization (NFV)-enabled networks. To this end, we formulate a resource-efficient optimization problem minimizing the network cost function including resource cost and wrong decision penalty. As a solution, we propose state-of-the-art DRL-based methods such as soft-actor-critic (SAC) and proximal-policy-optimization (PPO). In addition, to train and test our DRL agents, we propose a novel impending-failure model. Moreover, to keep network status information at an acceptable freshness level for appropriate decision-making, we apply the concept of age of information to strike a balance between the event and scheduling based monitoring. Several key systems and DRL algorithm design insights for ZT-PFR are drawn from our analysis and simulation results. For example, we use a hybrid neural network, consisting long short-term memory layers in the DRL agents structure, to capture impending-failures time dependency.

New differential cryptanalysis results for the lightweight block cipher BORON

BORON is a 64-bit lightweight block cipher based on the substitution–permutation network that supports an 80-bit (BORON-80) and 128-bit (BORON-128) secret key. In this paper, we revisit the use of differential cryptanalysis on BORON in the single-key model. Using an SAT/SMT approach, we look for differentials that consist of multiple differential characteristics with the same input and output differences. Each characteristic that conforms to a given differential improves its overall probability. We also implemented the same search using Matsui’s algorithm for verification and performance comparison purposes. We identified high-probability differentials which were then used in key recovery attacks against BORON-80/128. We used 8-round differentials with a probability of 2−58.16 and 2−62.42 in key recovery attacks against 9 and 10 rounds of BORON-80 and BORON-128 with time/data/memory complexities of 259.18/259.16/224 and 2111.34/263.42/271 respectively. Our key recovery framework provides a more accurate estimate of the attack complexity as compared to previous work. The attacks proposed in this paper are the best differential attacks against BORON-80/128 in the single-key model to date.

Trends in Polymer Degradation Across All Scales

AbstractThe development of sustainable plastic materials will be flanked with conscious resource management, waste recovery frameworks, and social change. Nonetheless, developing strategies toward controlled polymer degradation remains a key challenge—whether as a failsafe mechanism for materials that escape the resource recovery cycle, or where distinct degradation pathways are required for specific applications such as in the biomedical realm. This perspective highlights recent trends, challenges, and future strategies on three levels: 1) On the materials level, by the incorporation of enzymes into polymer materials that catalyze polymer degradation under benign conditions; 2) On the domain level, crystalline segments of polymer materials are often inert, even to enzymatically catalyzed degradation. Gaining an understanding of the mode of interaction between enzymes and polymer chains is key to controlling degradation of all polymer morphologies within materials. Processive depolymerization mechanisms, where the enzyme binds polymer chain ends and depolymerizes along the chain are extremely promising for efficient polymer degradation; 3) On the molecular level, where polyesters exhibit enzymatic targets of ester bonds through their polymer backbone, poly(alkene)s c of all carbon backbones. To enable degradation of this most abundant class of polymers, strategies must be developed to incorporate enzymatic targets into the backbone.

Combating the crimes of money laundering and terrorism financing in Nigeria: a legal approach for combating the menace

PurposeThis study aims to investigate the Federal Government’s failure to combat money laundering and terrorism financing and the various hurdles to enforce the Money Laundering (Prohibition) Act, 2012 (as amended), effectively, which prohibits illegal earnings criminally induced investments in and out of Nigeria. This has had an impact on the country’s economic potential and its image in the international community. Despite many anti-corruption laws criminalising money laundering and terrorism financing, it is rated among the nations with the highest poverty index despite its immense natural resources.Design/methodology/approachThis study uses a conceptual legal method to help a doctrinal library-based investigation by using existing material. This study also makes use of main and secondary legislation, such as the Constitution, the Money Laundering (Prohibition) (Amended) Act 2012 and the Terrorism (Prevention) Act 2013 (as amended), as well as case law, international conventions, textbooks and peer-reviewed publications. A comparison of anti-money laundering legislation in Canada, the UK, Hong Kong, China and Nigeria was conducted, with lessons learned for Nigeria’s anti-money laundering and anti-terrorism financing laws. According to the findings, the Act is silent on the criminal use of legitimate earnings to fund terrorism and cultism.FindingsThere is no well-defined legal framework for asset recovery and confiscation. In Nigeria’s legal system, this evident void must be addressed immediately. To supplement existing efforts to prevent money laundering, the research develops a hybrid model that incorporates the inputs of government representatives and civil society organisations. This study suggests a complete revision of the Act to eliminate ambiguity and focus on the goals of global anti-money laundering and anti-terrorist funding restrictions.Research limitations/implicationsOne of the limitations of this study is the paucity of literature and data on money laundering and terrorist financing in Nigeria due to the secrecy around the crimes, which do not give room for the collection of statistical data and due to the transactional nature of the crimes. This is not to submit that no attempts have been made in the past or recent times to quantify the global value of money laundering and its effects on Nigeria’s economy. Such attempts have been inconclusive and inaccurate.Practical implicationsThe dearth of records on the magnitude of money laundering in Nigeria has limited generalising the research findings due to the limited access to some required information. However, this study is suitable for adoption in other sectors of the economy in dealing with clandestineness in money laundering and terrorism financing. Future researchers are commended to use the quantitative assessment method to appraise the effects of money laundering and terrorist financing laws and policies in Africa to supplement the current literature in the field.Originality/valueThe research develops a hybrid model that incorporates the inputs of government representatives and civil society organisations. This study suggests a complete revision of the Act to eliminate ambiguity and focus on the goals of global anti-money laundering and anti-terrorist funding restrictions.

Unsupervised Learning of Monocular Depth and Ego-Motion with Optical Flow Features and Multiple Constraints.

This paper proposes a novel unsupervised learning framework for depth recovery and camera ego-motion estimation from monocular video. The framework exploits the optical flow (OF) property to jointly train the depth and the ego-motion models. Unlike the existing unsupervised methods, our method extracts the features from the optical flow rather than from the raw RGB images, thereby enhancing unsupervised learning. In addition, we exploit the forward-backward consistency check of the optical flow to generate a mask of the invalid region in the image, and accordingly, eliminate the outlier regions such as occlusion regions and moving objects for the learning. Furthermore, in addition to using view synthesis as a supervised signal, we impose additional loss functions, including optical flow consistency loss and depth consistency loss, as additional supervision signals on the valid image region to further enhance the training of the models. Substantial experiments on multiple benchmark datasets demonstrate that our method outperforms other unsupervised methods.

Evaluation of the Utilization of Tax Incentive Policies during the Covid-19 Pandemic in the Framework of National Economic Recovery

Until now, Indonesia still faces Covid-19 and is still in the process of economic recovery. However, the Directorate General of Taxes (DGT) was able to achieve the target of 100% tax revenue according to the target mandated in the 2021 State Budget even before the close of the year. At the end of 2021 tax incentives that have been utilized in the framework of the National Economic Recovery Program have reached IDR 63.16 trillion (100.5%) from the ceiling of IDR 62.83 trillion. This achievement is thanks to the contributions of all Taxpayers who continue to be committed to paying taxes. On this achievement, the government continues to show improvement efforts that must be maintained momentum, in order to continue to the 2022 state budget. The purpose of this study is to find out and analyze the evaluation of the utilization of tax incentive policies during the covid-19 pandemic in the framework of national economic recovery. This research uses descriptive qualitative methods through literature studies. In the evaluation of the utilization of tax incentive policies during the Covid-19 pandemic, it was explained that this tax revenue is one of the many state revenues that participate in supporting the nation and the country.

Mechanisms for Recovering Libyan Smuggled Assets within Framework of the United Nations Convention against Corruption: آليات استرداد الموجودات الليبية المهرَّبة في إطار اتفاقية الأمم المتحدة لمكافحة الفساد

This study aims to shed light on the mechanisms for recovering smuggled assets which established by United Nations Convention against Corruption, as well as the extent of the success of the State of Libya in this field. Moreover, the most important obstacles that face the State of Libya. Therefore, to clarify this point, the concept of recovering smuggled assets and its importance as well as the legal framework for the asset recovery have studied by using the inductive and analytical approach. For that, this study could clarify that the United Nations Convention played an important role in organizing that process, as it approved legal mechanisms governing it, represented in direct recovery, international cooperation in the field of confiscation, automatic international cooperation, and finally the recovery of assets. However, these mechanisms need a real commitment on the part of States parties to activate it. Furthermore, this study explains that the State of Libya has so far failed to recover its smuggled funds, for several different reasons; therefore, it should benefit from the successful experiences in this field.

A scoping review: Treatment attitudes and adherence for adults with schizophrenia.

This scoping review presents an exploration of literature on the relationship between treatment attitudes and adherence in adults experiencing schizophrenia. Strategies to address adherence and improve treatment outcomes are described in literature. However, adherence remains a challenge for people experiencing mental illness in practice. Transformational frameworks, evidence-based practice and patient-centred approaches have been established and implemented but non-adherence incidence rates continue to rise among people with schizophrenia. Moreover, the relationship between treatment attitudes and adherence in adults diagnosed with schizophrenia remains unclear. A scoping review using the framework offered by Implementation Science, 5, 2010, 1. The PRISMA-ScR checklist was used to ensure integrity of the review. Four databases PsychINFO, Medline, Cochrane and CINAHL databases were searched for literature along with the reference lists of eligible sources. Original research, peer-reviewed articles published between 2010 and 2020 in English language were included. Articles were included if study participants were adults with a diagnosis of schizophrenia or related psychosis. Methodological quality was evaluated using a quality assessment checklist, the Critical Appraisal Skills Programme tool. Ten articles were included in the study. Five main themes about treatment adherence emerged from the literature: (i) severity of symptoms, (ii) side effects, (iii) beliefs and attitudes, (iv) insight and (v) support and relationships. This scoping review concluded that attitude influenced adherence to medication in people with schizophrenia. The five main themes reported directly influenced attitude, impacting on treatment adherence in people experiencing schizophrenia. This review makes recommendations for a person-centred and recovery framework that aims to improve adherence. Nurses in all healthcare settings could use evidence-based strategies to enhance treatment adherence in people with a range of physical and mental health conditions.

Living with COVID-19 and Sustaining a Tourism Recovery—Adopting a Front-Line Collaborative Response between the Tourism Industry and Community Pharmacists

While the COVID-19 pandemic evolves and new variants emerge, destinations and cities look to tourism recovery, cautiously rebooting and re-opening borders. Since the start of the pandemic, dramatic lockdowns have been employed, resulting in dire economic and social consequences to the tourism and hospitality industry and creating the need for a more feasible and sustainable response in the post-pandemic era. Pandemic vigilance and resilience at the societal level have become key in pandemic preparedness. However, due to the complexity of managing COVID-19, no clear cross-disciplinary collaborative framework for tourism recovery has been developed. Cross-sector collaboration to collectively integrate resources, capabilities, and experiences should be prioritised to spearhead tourism recovery plans. With insight on public health, pandemic preparedness, and community access, we hypothesised that cross-industry collaboration between the tourism industry and the pharmacist profession is relevant to the measures adopted for recovery from the COVID-19 pandemic. To examine this hypothesis, this study aimed to explore perceptions from key stakeholders in the tourism and the pharmacist sectors on cross-industry collaboration towards COVID-19 management and the “know-how” in developing, adopting, and advancing such a partnership. This exploratory study adopts and advances the ‘Four Cs’ conceptual framework of communication, cooperation, coordination, and collaboration. In terms of our hypothesis, interview responses with tourism executives and CPs confirm the framework’s suitability and the importance of an interdisciplinary collaborative approach between CPs and the tourism sector to craft a sustainable pathway to recovery from COVID-19 and future pandemic measures as borders re-open and international mobility increases. A tourism recovery strategy from this pandemic can occur more judiciously through a collaborative partnership with an extensive network of pharmacists within communities and popular tourism sites, as CPs have valuable healthcare resources and the ability to track and communicate healthcare alerts to tourism destination recovery efforts.