Service Matching Research Articles

Blue-button: A tool for institution-agnostic, EHR-integrated regional clinical trial matching.

65 Background: Research indicates that most people with cancer are willing to enroll in clinical trials when offered the chance, but only 7% actually participate in cancer treatment trials. Barriers to screening and enrollment include time and effort for providers to screen patients for trials, and lack of awareness of available regional trials. Stakeholders recommended creation of free, automated screening tools and processes integrated into provider workflows, directly interfacing with site electronic health records (EHRs), that would search for regional trial eligibility. The need for such tools was independently identified in a large national survey of oncology providers. Methods: The Blue-button tool was developed to automatically identify relevant, regional clinical trials. A collaboration between ACS CAN and MITRE, a not-for-profit organization working in the public interest, created the tool’s functionality. Clinical workflow and research protocol were developed in collaboration with University of Texas Southwestern Simmons Comprehensive Cancer Center. This SMART-on-FHIR application works within existing EHR systems by automatically extracting and sending limited, deidentified patient data elements to third-party trial matching services via the FHIR mCODE standard, a core set of non-proprietary, open-source structured data elements that establishes minimum standards for the structure and content of oncology data in health records. Potential trial matches within a specified radius of the practice are returned in a standard format using the FHIR Research Study resource. Results: Blue-button extracts limited patient data from EHR and provides it in an interface allowing users to update data before sending to trial matching services. Only non-identifiable information is sent to the external clinical trial matching services, which then return prescreen trial matches for manual review to confirm patient eligibility. Thus, with a few clicks in a medical record, the tool quickly identifies comprehensive trial availability within a specified distance of the patient’s location. When used by providers, Blue-button reduces the manual burden that often prevents consideration of clinical trials and identifies regional opportunities beyond the treating institution. Conclusions: Successful feasibility testing demonstrated the effectiveness of automated regional trial screening as a model. We have launched a clinical trial at two sites to assess the effectiveness of the Blue-button tool with patients in healthcare settings. We expect patient enrollment to continue through part or all of 2025. This trial of the Blue-button tool will provide additional information on provider accessibility and uptake and will demonstrate whether EHR-integrated regional trial screening leads to increased opportunities and enrollment in cancer clinical trials. Clinical trial information: NCT05885880 .

Linkage and Demographic Indexing for Nursing Dynamics in the Integrated Data Service

Objective and ApproachThis project links UK Nursing and Midwifery Council (NMC) Registrant data to the 2021 England and Wales Census (“Census 21”). The Office for National Statistics (ONS) has composed a framework of index tables to facilitate linkage between prominent datasets in the UK. In linking person-level data to Census 21, ONS’ Demographic Index enables onward linkage to other administrative datasets that are indexed alike. NMC Register and Census 21 records have been initially linked using bespoke deterministic and probabilistic methods, with resulting matches being joined to the Demographic Index. ONS’ Demographic Index Matching Service (DIMS) will also be used to link NMC data to the Demographic Index to enable comparisons between methods. ResultsAnalysis of both approaches will compare quality metrics such as match rate, recall and precision and tools will be used to assess bias in matches made through each method. These metrics will provide an insight into how the index matching services have been designed and whether improvements can be made to account for any shortcomings in their performance. ConclusionsHybrid approaches using both bespoke and indexing methods are proving valuable where sole use of the matching services is not suitable. This research will help ONS to refine which methods will yield the highest quality linkage and when. ImplicationsAs ONS pursues an ‘indexing first’ approach to linkage, the outcomes of this and similar projects will influence the future of utilising indexes in varied capacities when creating or maximising the potential of linked data.

Multi-layer resource scheduling architecture and algorithm for a service-oriented optical network based on a fine grain OTN

With the development of service, there are demands for flexible connection scheduling based on customer-side services, fast connection response, and efficient scheduling of line-side resources in an optical transport network (OTN). This article proposes a service-oriented multi-layer resource scheduling architecture and algorithm based on the introduction of OTN fine grain technology. Specifically, we propose a service awareness scheme that enables OTNs to better match service requirements. Based on a centralized distributed collaborative architecture, we extend a path computation element communication protocol (PCEP) to achieve more efficient connection distribution. We further design a resource scheduling strategy and an algorithm based on multi-layer collaboration to perform differentiated scheduling for services with different priorities. Through the mechanisms and algorithms proposed, it is technically feasible to achieve precise matching of customer-side services, flexible scheduling of connections and resources, and efficient service response, and promote the evolution of the OTN service supply from traditional fixed point-to-point connections to flexible service-oriented optical network (SOON) connections.

The lasting impact of virtual interviews on surgical fellowship applicants

PurposeSurgical fellowship interviews shifted to a virtual platform in 2020 due to the COVID-19 pandemic. While virtual interviews provide convenience, they also pose difficulties for programs and raise potential barriers for applicants. This study compares in-person to virtual interviews and characterizes the impact on programs and applicants.MethodsIn-person (2007–2019) and virtual (2020–2022) fellowship application data were extracted from publicly available NRMP Specialties Matching Service data. Fellowship programs included surgical critical care, surgical oncology, colorectal, pediatric, thoracic, and vascular surgery. Competitiveness was assessed using a validated normalized competitiveness index (NCI).ResultsSince virtual interviews, rankings per applicant, a surrogate for program interview workload, increased for all fellowships except pediatric surgery. The most competitive subspecialties now include colorectal, pediatric, and thoracic surgery. For non-US MDs in these subspecialties, applicants per position decreased (pediatric), match rate decreased (thoracic), and NCI increased (thoracic) under virtual interviewing. However, for the least competitive subspecialties, non-US MDs had increased rankings per applicant (critical care and vascular), increased match rate (critical care and surgical oncology), and decreased NCI (surgical oncology) with virtual interviewing.ConclusionsSince the virtual platform was implemented, applicants have interviewed at and ranked more programs, subsequently increasing program workload. While this is positive for many applicants, a differential pattern of securing a fellowship emerged for non-US MD applicants. This finding is important for fellowship program directors to consider and ensure non-US MD applicants are not marginalized with the virtual platform.Level of EvidenceIII

Can ChatGPT Fool the Match? Artificial Intelligence Personal Statements for Plastic Surgery Residency Applications: A Comparative Study

Introduction: Personal statements can be decisive in Canadian residency applications. With the rise in AI technology, ethical concerns regarding authenticity and originality become more pressing. This study explores the capability of ChatGPT in producing personal statements for plastic surgery residency that match the quality of statements written by successful applicants. Methods: ChatGPT was utilized to generate a cohort of personal statements for CaRMS (Canadian Residency Matching Service) to compare with previously successful Plastic Surgery applications. Each AI-generated and human-written statement was randomized and anonymized prior to assessment. Two retired members of the plastic surgery residency selection committee from the University of British Columbia, evaluated these on a 0 to 10 scale and provided a binary response judging whether each statement was AI or human written. Statistical analysis included Welch 2-sample t tests and Cohen's Kappa for agreement. Results: Twenty-two personal statements (11 AI-generated by ChatGPT and 11 human-written) were evaluated. The overall mean scores were 7.48 (SD 0.932) and 7.68 (SD 0.716), respectively, with no significant difference between AI and human groups ( P = .4129). The average accuracy in distinguishing between human and AI letters was 65.9%. The Cohen's Kappa value was 0.374. Conclusions: ChatGPT can generate personal statements for plastic surgery residency applications with quality indistinguishable from human-written counterparts, as evidenced by the lack of significant scoring difference and moderate accuracy in discrimination by experienced surgeons. These findings highlight the evolving role of AI and the need for updated evaluative criteria or guidelines in the residency application process.

The path from home to school: study on migrant workers' children in Haining, Zhejiang Province

With the rapid development of urbanization in China, the number of migrant workers is increasing. As a result, the problem of whether children move with them has arisen, which has led to the emergence of a group of children who are in urgent need of child-friendly attention. At the institutional level, the most important measure of the Chinese government is to ensure the enrollment of migrant children, but now the institutional optimization is not enough. For example, the ' enrollment difficulty ' still exists, and many migrant children are forced to go to schools far away from home. This also leads to the lack of non-institutional level, such as the long distance to school so that these children cannot go to school independently. Through the data of parent interviews and behavior logs, this study verifies that the transfer of children significantly increases the cost of childcare for migrant workers, indirectly verifies the importance of school distance, and proposes that schools and matching public service facilities should be configured near industrial parks where migrant children are concentrated.

O-233 The current landscape for carrier screening in donor conception; a game of chance for donors and recipients?

Abstract Study question How do international regulatory and commercial factors influence donor carrier screening and pose dilemmas for donors, clinics, and recipients. Summary answer Inconsistencies in international carrier screening guidelines and practice for donor conception create a two-tier system for donors and recipients. What is known already Carrier screening is used to identify those who are at risk to have a child with an autosomal recessive or X-linked genetic disorder. Donor banks adopt a commercially viable approach for carrier screening for their market and export, which creates inequalities in donor recruitment and reproductive risk for recipients. For example, UK guidelines require donors to be screened only for cystic fibrosis, with non-European donors screened for conditions known to be more common by ancestry. Real-world pan-ethnic approaches, however, are taken in varying degrees in other countries via extended carrier screening, posing dilemmas for donors, recipients, and clinics. Study design, size, duration Using current available public information, 14 UK, European, and US donor banks were surveyed to understand the screening level for recessive conditions and how this was conveyed to the patient or clinic client. Separately, expanded carrier screening (ECS) results (283 - 502 genes) from 1742 prospective donors from a > 6 year period at a US sperm bank were analysed to calculate acceptance rates if minimal screening and exclusion criteria were applied. Participants/materials, setting, methods UK, European, and US donor gamete banks were identified and surveyed using public information (2023). Separately, internal data from a US sperm bank related to ECS results from 2017 – 2023 was extracted, collated, and evaluated against the UK donor sperm genetic screening guidelines. Main results and the role of chance All donor banks surveyed state donors are genetically screened. For recessive conditions, UK and European banks screened for a small panel of between 3-20 genes, published on a general screening page on the donor bank website, and exclude donors that are carriers. Some offer an additional paid ECS genetic matching service without revealing what the donor or recipient may be carriers for. US banks who perform ECS include these results with a donor profile; some banks exclude carriers of more common recessive disease, while others accept all donors regardless of carrier status. Results from the US sperm bank indicated that of 1742 prospective donors who had ECS, only 117 (6.7%) of carriers would have been reported if screening under minimal guidelines. 665 of the 782 US positive carrier donors would not have been identified as carriers if tested according to UK guidelines. This, together with the observed varying regulation and commercial ECS panels used by donor banks internationally, demonstrate a tiered system of information availability and sharing for reproductive risk knowledge for donors and recipients; recipients are not consistently informed of the limitations of screening of a selected donor, and acceptance of donors to programs is inconsistent. Limitations, reasons for caution The panel composition and number of genes are variable by commercial ECS provider and donor banks may vary their carrier screening policy or commercial ECS options over time. Additionally, other European countries may have differing recommendations in regards to carrier screening practices. Wider implications of the findings As donor sperm imports from within and outside Europe increase, registered donors within countries will present differing genetic risk. Review and implementation of current carrier screening guidelines are required to ensure consistency of methodology and availability of transparent information for donors, recipients, and clinics to consider the wider implications. Trial registration number not applicable

Optimisation of global stem cell donor recruitment based on analysis of unsuccessful donor searches.

Despite over 41 million registered potential volunteer stem cell donors worldwide, many patients in need of a transplant do not find an HLA-matched unrelated donor or cord blood units, with the respective odds differing significantly between various populations. In this study, we analysed data of 2205 unsuccessful real-life donor searches sent to the DKMS Registry to identify populations in which further donor recruitment would be associated with particularly large patient benefits. For that purpose, we estimated haplotype frequencies of 67 donor populations at various sample sizes and entered them into two different mathematical models. These models assessed patient benefits from population-specific donor recruitment, operationalised by the number of originally unsuccessful searches that may become successful due to new donors. Consistently, across the different mathematical models and sample sizes, we obtained several countries from East and Southeast Asia (Thailand, Vietnam, China, and the Philippines) and the population of Asians in the USA as countries/populations where donor recruitment activities would be particularly beneficial for patients. We also identified various countries in Southeast and Central Europe as possible target regions for donor recruitment with above-average patient benefits. The results presented are registry-specific in the sense that they were obtained by optimising unsuccessful searches that had been sent to the DKMS Registry. Therefore, it would be desirable to apply the presented methods to a global data set that includes all unsuccessful stem cell donor searches worldwide and uses population-specific haplotype frequencies based on all donors available in the WMDA Search & Match Service.

Beyond Diagnosis and Comorbidities-A Scoping Review of the Best Tools to Measure Complexity for Populations with Mental Illness.

Beyond the challenges of diagnosis, complexity measurement in clients with mental illness is an important but under-recognized area. Accurate and appropriate psychiatric diagnoses are essential, and further complexity measurements could contribute to improving patient understanding, referral, and service matching and coordination, outcome evaluation, and system-level care planning. Myriad conceptualizations, frameworks, and definitions of patient complexity exist, which are operationalized by a variety of complexity measuring tools. A limited number of these tools are developed for people with mental illness, and they differ in the extent to which they capture clinical, psychosocial, economic, and environmental domains. Guided by the PRISMA Extension for Scoping Reviews, this review evaluates the tools best suited for different mental health settings. The search found 5345 articles published until November 2023 and screened 14 qualified papers and corresponding tools. For each of these, detailed data on their use of psychiatric diagnostic categories, definition of complexity, primary aim and purpose, context of use and settings for their validation, best target populations, historical references, extent of biopsychosocial information inclusion, database and input technology required, and performance assessments were extracted, analyzed, and presented for comparisons. Two tools-the INTERMED, a clinician-scored and multiple healthcare data-sourced tool, and the VCAT, a computer-based instrument that utilizes healthcare databases to generate a comprehensive picture of complexity-are exemplary among the tools reviewed. Information on these limited but suitable tools related to their unique characteristics and utilities, and specialized recommendations for their use in mental health settings could contribute to improved patient care.

A blockchain-based engineering design review service trading scheme for digital building permits

Engineering design review, which is a time-consuming task in the building permit process, faces challenges such as a scarcity of design review specialists, vulnerability to manipulation and corruption, and a lack of traceability and transparency. This paper explores the integration of blockchain and online service trading in addressing these challenges. This paper proposes a platform-based design review service trading scheme, engaging a distributed network of experts to overcome resource limitations and integrates blockchain technology to improve process traceability. The system model is presented, an access control model and a design version management method are proposed. A prototype system is developed, and a real-world project is used to illustrate the online design review process. Security, function, and performance evaluations show that the scheme is secure and efficient. This study highlights blockchain's potential in digital building permits. Future work can explore advanced service matching algorithms in online design review service trading platforms.

A theoretical framework for platform-to-platform cooperation: a multi-case study from China

PurposeThis study explores the factors that influence platform-to-platform cooperation (PPC) and designs a theoretical framework for platform research.Design/methodology/approachThis multi-case study includes a combination of exploratory and explanatory case studies.FindingsFrom the internal factor perspective, channel integration capability, technology-based order matching capability and service innovation capability positively affects the PPC. From the perspective of external factors, the impact of a new platform entry on the PPC depends on market power and complementarities between platforms in the supply and value chains. Diversity of demand also has a positive effect on the PPC, which is moderated by network externalities. It is worth noting that the incumbent platform prefers to diversify its services for collaborating platforms with a higher level of cooperation. In addition, the higher diversity of demand, the stronger the service innovation capability, which indirectly impacts cooperation positively.Originality/valueThe PPC has gained immense popularity in recent years. However, no scholars have investigated the factors influencing the PPC decisions, which warrants further exploration. This study sheds light on the factors and mechanisms that influence the PPC from both internal and external perspectives.

Bridging gaps with navigator support and its influence on breast cancer clinical trial matching and accessibility.

e13509 Background: Breast cancer patients face challenges navigating clinical trials. Online trial matching platforms like BreastCancerTrials.org (BCT) and MetastaticTrialSearch (MTS) are important resources to assist patients in identifying suitable clinical trials. However, data collected from users shows a concerning underrepresentation of ethnic minorities using this technology. Acknowledging the need to address this inequality through personalized support, we have incorporated a Clinical Trial Navigator. The navigator has engaged in partnerships with diverse community organizations and is committed to offering continuous support to patients throughout their experience. Methods: We analyzed data from our online trial matching sites spanning the period 2009–2023 (BCT) and data from our new platform MTS covering the years 2018-2023. Users visiting these sites provided details about their breast cancer type and medical history to identify appropriate clinical trials. Demographic information including race, gender, and education level was collected. The utilization and effectiveness of these features in facilitating patient access to relevant clinical trials were evaluated. Results: Analysis of the data reveals information about the characteristics of patients actively using the BreastCancerTrials.org matching service. Although BCT and MTS strives to reach a diverse patient population, 87% of BCT users identified as white women, with African American users making up only 5%. Education level of all users was high with 73% stating a college degree or higher. On the MTS site, 80% of users identified as white, while 7% identified as African American.This emphasized the need for specific interventions designed to tackle the underrepresentation of ethnic minorities and underserved populations when utilizing BCT and MTS. Conclusions: For more than 15 years, BCT has offered a patient-centric trial matching service. Within the last six years, with the enhancements to the website, BCT has served over 281,197 users. To improve minority enrollment in trials, we have developed a comprehensive clinical trial breast cancer navigation program. We plan to use this program to expand our outreach to underserved populations. Navigators can enhance patient engagement, help patients make informed decisions, and ultimately improve access to participation in breast cancer research.

Women in Orthopaedics: 10-Year Trends of Fellowship Match Rate and Subspecialty.

Orthopaedic surgery has consistently remained one of the least diverse specialties in medicine. There are limited data on the match rate by sex into orthopaedic fellowships. The goals of this study were to determine (1) how the percentage of women applying to orthopaedic fellowships has changed from 2011 to 2021, (2) whether there was a correlation between sex and the likelihood of a successful fellowship match, and (3) which subspecialties tend to have a greater proportion of female applicants and fellows. The San Francisco (SF) Match service was used to obtain US orthopaedic fellowship applicant data from 2010 to 2021. San Francisco Match has run the match for the orthopaedic fellowship match since 2010. International medical graduates' applications, incomplete applications, or withdrawn applications were excluded. The following variables were collected and assessed: sex, subspecialty choice (except for hand because they do not use SF Match services), and match outcome. The number of female applicants and matches was recorded by year and compared with the number of male applicants and matches. Chi-square analysis was used to analyze categorical variables. A total of 6969 applicants to all orthopaedic specialties within SF Match were included during the study period. Overall, 859 were female (12.3%), and 6110 were male (87.7%). The number of female applicants had an increasing trend over the 10-year period from 65 applicants in 2011 to 111 in 2021. The overall proportion of female applicants was between 10.1% and 14.4%. The annual match rate for female applicants was 90.7% to 100% during the study period while the match rate for male applicants was 93.7% to 97.3%. Regarding successful matches, pediatrics had the highest proportion of women (range: 30.2% to 46.2%), followed by foot and ankle (range: 9.8% to 26.4%). Spine (range: 3.2 to 10.9%) and adult reconstruction (range: 3.9% to 9%) had the least number of women among matched applicants. This study found that the number of female applicants to orthopaedic fellowships has increased over the past 10 years. The difference in fellowship match rates among male versus female applicants did not statistically differ during this 10-year period; however, the proportion of female fellows is not equally distributed among subspecialties, with a higher proportion of women matching into pediatrics and foot and ankle and lower proportion in reconstruction and spine. These data can provide a benchmark for department chairs and society leadership to ensure they are recruiting, interviewing, and selecting candidates who are representative of the current sex demographics of orthopaedic fellowship graduates.

Supply and demand assessment of physical activity services provided by urban green spaces: A case study of Chongqing, China

Urban green spaces (UGSs) serve as preferred venues for residents' outdoor physical activities (PAs). However, limited research explores the supply and demand match of physical activity services. This study aims to introduce a novel multi-dimensional framework to map the supply and demand of PA services in UGSs. This framework involves evaluating UGS supply from capacity, quality, and accessibility dimensions, mapping the demand for PA services from visiting frequency and duration based on massive trajectories, and then assessing supply-demand matches of PA services by spatial clustering analysis. The findings revealed distinct spatial imbalances in the supply and demand of PA services in the case of Chongqing, as indicated by 45.34% of surveyed blocks with mismatches. PA services exhibited spatial heterogeneity, with undersupply in the urban center and oversupply in the suburbs. The demand for jogging and walking peaked highest in certain periods, such as morning and evening peaks, intensifying the undersupply issue. This study provides insights for exploring the PA services of UGSs and offers valuable implications for UGS planning and management.

Selection of international medical graduates into postgraduate training positions in Canada. Who applies? Who is selected?

International medical graduates (IMGs) are an essential part of the Canadian physician workforce. Considering current pressures on the health care system, an update regarding application numbers and match rates for IMGs to postgraduate positions in Canada is needed. We conducted a quantitative cross-sectional study to explore the characteristics of IMGs who are currently applying to the Canadian Residency Matching Service (CaRMS) positions to gain a broad understanding of the composition of this group and the factors associated with successful matching. Out of 1,725 applicants in 2019, 14.1% matched on the first attempt and 6.4% after two to three attempts. Only 22.7% matched with a position (57.6% women). Applicants submitted an average 19.6 site/program applications. The percentage of IMGs matched did not statistically differ by gender. The relationship between the year of graduation or geographic area of medical school qualified and matching was significant for the first and second iterations, with current-year graduates and Oceania/Pacific Islands applicants more likely to match. This study provided us with accurate numbers and information about the Canadians studying abroad and IMG groups applying, and factors associated with being matched to the IMG positions through CaRMS, which will be instrumental in informing future selection implications for Canada.

Price of Anarchy in Algorithmic Matching of Romantic Partners

Algorithmic matching is a pervasive mechanism in our social lives and is becoming a major medium through which people find romantic partners and potential spouses. However, romantic matching markets pose a principal-agent problem with the potential for moral hazard. The agent’s (or system’s) interest is to maximize the use of the matching website, while the principal’s (or user’s) interest is to find the best possible match. This creates a conflict of interest: the optimal matching of users may not be aligned with the platform’s goal of maximizing engagement, as it could lead to long-term relationships and fewer users using the site over time. Here, we borrow the notion of price of anarchy from game theory to quantify the decrease in social efficiency of online algorithmic matching sites where engagement is in tension with user utility. We derive theoretical bounds on the price of anarchy and show that it can be bounded by a constant that does not depend on the number of users in the system. This suggests that as online matching sites grow, their potential benefits scale up without sacrificing social efficiency. Further, we conducted experiments with human subjects in a matching market and compared the social welfare achieved by an optimal matching service against a self-interested matching algorithm. We show that introducing competition among matching sites aligns the self-interested behavior of platform designers with their users and increases social efficiency.

Breaking barriers: How race shapes service expectations across actors and contexts

ABSTRACT This study investigates the impact of race on Customer Service Quality Expectations (SQE) using the Similarity-Attraction Perspective within the context of all interacting service actors, including customers, service providers, and other customers. A thorough literature review of racial effects in service environments is followed by a 2 (Service Actor Race: White vs. Black) × 2 (Service Actor Role: Service Provider vs. Other Customers) × 2 (Context: Experience vs. Credence) experimental study with Black and White customers. The study revealed that customer Perceptions of Service Actor Similarity (PSIM) mediate the influence of matching Customer Race and Service Actor Race on SQE. Results indicate: 1) that SQE is higher when customers are in the presence of other Service Actors perceived to be of their own race, and 2) that the effect varies by Service Actor Role and Service Type. This is an initial attempt to explore the impact of race on Experience and Credence services by adopting a Similarity-Attraction framework considering all participants in the service environment. The findings of this study hold important managerial implications, emphasizing that businesses should be mindful of the impact of race on SQE and consider fostering a diverse and inclusive service environment to enhance customer outcomes.

Mapping and assessing supply–demand matching of recreational ecosystem services in Shandong province, China

Globally, natural landscapes and their recreational ecosystem services (RES) are both under threat from anthropogenic activities and environmental changes. But the demand for RES increases with the development of human living standards. Therefore, mapping and assessing the supply–demand relationships of RES is crucial for landscape planning, management, and human well-being. This study aimed to study the relationships between supply and demand of RES in Shandong province, China, quantify the supply, demand, and supporting capacity of RES, analyze the degree of matching and coupling between the supply and demand of RES, and explore the effect of terrain gradient to RES. The results indicated that the average value of coupling coordination (CCD) between supply–demand of RES in Shandong province was 0.45, which is a mild balance. According to the supply–demand matching types, areas with low supply-high demand accounted for 6.62%, indicating a serious shortage matching of supply and demand. Using hotel quantity and roads as indicators of the supporting capacity of RES, the overall coordination between landscape aesthetic quality (LAQ) and regional hotel quantity shows a mild imbalance (0.38), while that with the regional road density shows a good balance (0.60). Furthermore, the scenery spots density, RES supply, RES supply–demand CCD and support capacity CCD shows an upward trend with the increase of elevation and slope, an “increased-decreased-increased” trend with the increase of terrain niche index. This study provides spatial matching of RES supply and demand in Shandong province. Optimizing land-use structures and improving natural resource allocation were proposed to boost coordination of RES supply and demand.

Patient-centric medical service matching with fine-grained access control and dynamic user management

Personal health records (PHR) offer significant benefit for patients, such as reducing medical cost and improving the quality of medical care. Majority of the current schemes lack provisions for tracking and revoking malicious doctors. The explicit access policies are prone to leaking patient private information. What is more, owning to the uneven distribution of medical supplies, shocking computational overhead during decryption is a burden that cannot be ignored for busy medical workers. This paper proposed a patient-centric medical service matching scheme that supports policy hiding, attribute matching, fine-grained access control, and user dynamic management. The scheme uses ciphertext policy-based attribute encryption (CP-ABE) to achieve fine-grained access control and supports policy hiding. It utilizes white-box tracking technology and binary tree structure to achieve malicious doctor tracking. Revocation information is ciphertext to achieve dynamic management of doctors. From the experimental results, it can be concluded that our protocol achieves both patient-centric security and performance advantages.

Retracted: Mobile Internet of Things Dynamic Grid QoS Service Matching Mechanism and Simulation Analysis

Retracted: Mobile Internet of Things Dynamic Grid QoS Service Matching Mechanism and Simulation Analysis