Two-stage Search Strategy Research Articles

An efficient two-stage evolutionary algorithm for multi-robot task allocation in nuclear accident rescue scenario

With the growing maturity of multi-robot system technology, its applications have expanded across various domains. This paper addresses the critical issue of task allocation in nuclear accident rescue scenario, which plays a pivotal role in the success of such operations. The problem is formulated as a multi-objective optimization problem, taking into account three key indicators: execution time, radiation accumulation, and waiting cost. To effectively tackle this problem, an two-stage evolutionary algorithm is proposed. Firstly, a solution encoding method and a crossover mutation method is devised tailored to the problem’s characteristics. Secondly, a two-stage search strategy is designed. In the first stage, a fixed population size and shift-based density estimation method are used to quickly converge the solution set to the Pareto front. The latter stage uses an infinite size population to find as many Pareto solutions as possible. Finally, a local search strategy is introduced to improve the quality of solution set. In the experimental section, our proposed method is compared with five state-of-the-art algorithms on nine instances of varying scales. Across five evaluation metrics, the proposed algorithm demonstrates competitive performance on all instances. These results underscore the efficacy and competitiveness of our approach in tackling the task allocation problem in multi-robot systems within nuclear accident rescue.

Multi-agent target search strategy optimization: Hierarchical reinforcement learning with multi-criteria negative feedback

Recently, using unmanned platforms to perform target search tasks has received extensive attention and research. The complexity of the search scenario and the unpredictability of the target movement pose significant challenges for unmanned platforms to perform the search task. Developing efficient search strategies is crucial for their success. In this study, we model the problem as a Partially Observable Markov Decision Process (POMDP) and propose a Hierarchical Deep Q Network with Multi-criteria Negative Feedback method named MNF-HDQN to solve the problem efficiently. The MNF-HDQN incorporates point and area evaluations instead of the original sparsity calculation to enhance the cooperation competence of unmanned platforms in searching for a target in various search tasks. Additionally, the integration of convex polygon theory into reward shaping and the design of a new two-stage search strategy encouragement function further improve the performance of the proposed method. We conduct detailed experiments to verify the superiority of the MNF-HDQN. And experimental results show that our method provides a high successful search rate in a shorter timestep compared with state-of-the-art baselines. This advantage is more evident when the search scenario is more complex or the target movement is more unpredictable.

Cochlear Implantation in Children with Additional Disabilities: A Systematic Review.

This study examines the last 10 years of medical literature on the benefits of cochlear implantation in children who are deaf or hard of hearing (DHH) with additional disabilities. The most recent literature concerning cochlear implants (CIs) in DHH children with additional disabilities was systematically explored through PubMed, Embase, Scopus, PsycINFO, and Web of Science from January 2012 to July 2023. Our two-stage search strategy selected a total of 61 articles concerning CI implantation in children with several forms of additional disabilities: autism spectrum disorder, cerebral palsy, visual impairment, motor disorders, developmental delay, genetic syndromes, and intellectual disability. Overall, many children with additional disabilities benefit from CIs by acquiring greater environmental sound awareness. This, in turn, improves non-verbal communication and adaptive skills, with greater possibilities to relate to others and to be connected with the environment. Instead, despite some improvement, expressive language tends to develop more slowly and to a lesser extent compared to children affected by hearing loss only. Further studies are needed to better appreciate the specificities of each single disability and to personalize interventions, not restricting the analysis to auditory and language skills, but rather applying or developing cross-culturally validated instruments able to reliably assess the developmental trajectory and the quality of life of DHH children with additional disabilities before and after CI.

The value of allied health professional research engagement on healthcare performance: a systematic review

BackgroundExisting evidence suggests that clinician and organisation engagement in research can improve healthcare performance. With the increase in allied health professional (AHP) research activity, it is imperative for healthcare organisations, clinicians, managers, and leaders to understand research engagement specifically within allied health fields. This systematic review aims to examine the value of research engagement by allied health professionals and organisations on healthcare performance.MethodsThis systematic review had a two-stage search strategy. Firstly, the papers from a previous systematic review examining the effect of research engagement in healthcare were screened to identify papers published pre-2012. Secondly, a multi-database search was used to conduct a re-focused update of the previous review, focusing specifically on allied health to identify publications from 2012–2021. Studies which examined the value of allied health research engagement on healthcare performance were included. All stages of the review were conducted by two reviewers independently. Each study was assessed using the appropriate Joanna Briggs Institute critical appraisal tool. A narrative synthesis was completed to analyse the similarities and differences between and within the different study types.ResultsTwenty-two studies were included, comprising of mixed research designs, of which six were ranked as high importance. The findings indicated that AHP research engagement appears related to positive findings in improvements to processes of care. The review also identified the most common mechanisms which may link research engagement with these improvements.DiscussionThis landmark systematic review and narrative synthesis suggests value in AHP research engagement in terms of both processes of care and more tentatively, of healthcare outcomes. While caution is required because of the lack of robust research studies, overall the findings support the agenda for growing AHP research. Recommendations are made to improve transparent reporting of AHP research engagement and to contribute essential evidence of the value of AHP research engagement.Trial registrationThis systematic review protocol was registered with the international prospective register of systematic reviews, PROSPERO (registration number CRD42021253461).

Green split multiple-commodity pickup and delivery vehicle routing problem

This paper studies a new version of the green split multiple-commodity pickup and delivery vehicle routing problem, in which the multiple commodity demands of each retail store could be split and each retail store could be visited multiple times. In addition, the reallocation of items collected from other retail stores, traffic congestion and time-windows for convenient pickup and delivery were considered when formulating the model. To solve this complex model, a two-stage search quantum particle swarm optimization (TSQPSO) algorithm is proposed. The two-stage search strategy of TSQPSO helps to find the optimization direction quickly. Meanwhile, the three designed neighbourhood structures help to prevent the algorithm from falling into local optimal solutions. We compared the results obtained by the GAMS optimization solver and our algorithm. The average gap between the results is 0.86%, but our algorithm can obtain the optimal solution much faster. The computational results show that the model is capable of offering more reasonable and economical solutions. Furthermore, we found that with the lower unit operating commodity cost at the depot, the total cost is lower when the commodities are allowed to distribute from the depot. Conversely, when it is higher, the total cost is lower when the commodities collected from the supply retail stores are reallocated.

HSM-SMCS: Task Assignment Based on Hybrid Sensing Modes in Sparse Mobile Crowdsensing

Sparse mobile crowdsensing (Sparse MCS) is an emerging paradigm for urban-scale sensing applications, which recruits suitable participants to complete sensing tasks in only a few selected cells and then infers data of unsensed cells for saving sensing costs and obtaining high-quality sensing maps. In Sparse MCS, one crucial issue is task assignment, in which the platform selects cells whose sensing data can reduce inferred sensing maps errors (i.e., cell selection) and recruits the participant set with the maximum contribution for performing tasks (i.e., participant recruitment). The research on participant recruitment mainly focuses on single participatory-based or single opportunistic-based sensing mode. Due to the complementarity of two sensing modes, recruiting participants by only one sensing mode would result in wasting sensing resources and compromising the quality of task completion. Thus, combining the advantages of two sensing modes, we propose a task assignment framework based on hybrid sensing modes in Sparse MCS (HSM-SMCS) for achieving a good tradeoff between sensing quality and cost. Specifically, we propose a heuristic two-stage search strategy that simultaneously recruits opportunistic and participatory participants to perform tasks in significant cells within the constraint of total costs, considering their contributions to sensing map inference. Thereinto, for opportunistic participants, mobility prediction greatly affects task assignment effectiveness. However, existing prediction algorithms lead to unsatisfactory outcomes when the historical trajectory data of opportunistic participants are scarce. To effectively improve the predictive accuracy, we design a mobility prediction model based on transfer learning. The experimental evaluation on real trajectory data sets and sensor data sets of corresponding areas demonstrates that our framework outperforms state-of-the-art methods with higher quality reconstructed sensing maps.

Allied health professional research engagement and impact on healthcare performance: A systematic review protocol.

Existing evidence suggests that clinician and organization engagement in research can improve healthcare processes of care and outcomes. However, current evidence has considered the relationship across all healthcare professions collectively. With the increase in allied health clinical academic and research activity, it is imperative for healthcare organizations, leaders and managers to understand engagement in research within these specific clinical fields. This systematic review aims to identify the effect of engagement in research by allied health professionals (AHPs) and organizations on healthcare performance. This systematic review has a two-stage search strategy. The first stage will be to screen a previous systematic review examining the effectiveness of engagement in research in health and social care to identify relevant papers published pre-2012. The search strategy used in the previous review will then be rerun, but with a specific focus on allied health. This multi-database search will identify publications from 2012 to date. Only studies that assessed the effectiveness of allied health engagement in research will be included. All stages of the review will be conducted by two reviewers independently, plus documented discussions with the wider research team when discrepancies occur. This systematic review protocol follows the EQUATOR reporting guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Protocols (PRISMA-P). The findings of this review will make a significant contribution to the evidence base around the effect of allied health engagement in research on healthcare performance. It will provide insights for clinicians and managers looking to understand the consequences of developing AHP research capability and capacity. The findings of this review will also aim to make recommendations for future evaluation approaches for engagement in research interventions. This systematic review protocol has been registered with PROSPERO, registration number CRD42021253461. What is already known on the subject This study will provide valuable evidence for professionals and policymakers seeking to understand engagement in research in the allied health disciplines. Where supported by the data, there may be recommendations for future research regarding specific variables to be considered when planning and evaluating engagement in research in allied health practice. What this paper adds to existing knowledge A previous systematic review identified a positive association between clinician and organization engagement in research and improved processes of care and health outcomes. The reviews' findings have been used as a justification for clinicians and organizations to increase research capacity. That review evaluated literature published before 2012 and the studies that were identified predominantly reported on engagement in research by medics and nurses. An updated review is now required to include research published since 2012. This review will specifically focus on the effect of engagement in research within allied health disciplines. What are the potential or actual clinical implications of this work? Research activity among AHPs is gaining momentum. Given this growth in AHP research activity and the rise in dedicated clinical academic roles, a contemporary review to identify the specific effect of AHP engagement in research on healthcare performance is prudent. The findings will inform clinicians, clinical managers and leaders of the potential impact of research activities by AHP clinicians and organizations. This will support the planning and development of initiatives focused on research capacity, capability and culture within allied health.

Decision space partition based surrogate-assisted evolutionary algorithm for expensive optimization

In expensive optimization, function evaluations are based on expensive physical experiments or time consuming simulations. Moreover, the gradient for the objective is not readily available. Therefore, it is a challenge task to deal with expensive optimization. In this work, a decision space partition based surrogate-assisted evolutionary algorithm (DSP-SAEA) is proposed for expensive optimization. In DSP-SAEA, a two-stage search strategy is introduced, where the global search and the local search are seamlessly integrated. In the global search stage, a decision space partition based global search strategy is proposed. In this strategy, all the exactly evaluated points are clustered into a set of clusters. Thus, the decision space can be partitioned into several regions based on the formed clusters. Furthermore, in each region, the surrogate model is constructed. The algorithm will search for these regions simultaneously with the help of the built surrogate models. As a result, several promising points distributed in different regions are able to be obtained. In the local search stage, a model adaptive selection strategy and the trust region local search are integrated. The model adaptive selection strategy is introduced to accurately assist the trust region local search, where the local elite surrogate model is adaptively chosen from the local surrogate model pool. Experimental results on benchmark problems and the parameter estimation for frequency-modulated sound waves problem demonstrate that DSP-SAEA performs competitively compared with some state-of-the-art algorithms.

What is the most appropriate method for the measurement of the range of motion in the lumbar spine and how does surgical fixation affect the range of movement of the lumbar spine in adolescent idiopathic scoliosis? A systematic review protocol

IntroductionAdolescent idiopathic scoliosis (AIS) is a three-dimensional rotational change in the normal shape of the spine which affects children aged 10 to 18 years. Both the condition and its management can have significant impact on functional ability. Currently, expected restriction in spinal motion is experience based, rather than evidence based, and discussions to inform patient expectations pre-operatively can be difficult. The aim of this review is to evaluate the evidence pertaining to measurement of spinal motion and whether this is altered following surgery, dependent on the anatomical level of surgical fixation in AIS. Methods/analysisThis protocol is reported in line with both PRISMA-P and informed by the COSMIN methodology. Electronic databases will be searched using a two-stage search strategy. The first stage will identify and evaluate the methods used to assess spinal motion. The second stage aims to evaluate the change in spinal motion using these methods based on anatomical level of fixation following surgery along with the measurement properties of those methods, to include the validity, reliability and responsiveness of the methods. Two reviewers will independently screen the search results against eligibility criteria, extract the data and assess the quality of the included studies. Any disputes between the reviewers will be resolved with a third independent reviewer. Data may be pooled where possible; however, this is not expected. The overall strength of the body of evidence will then be assessed using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach.Patient and public involvementPatients and members of the public will not be consulted in the production of this review, although the review was conceived based on the experiences of the authors when managing this patient population and a need to address patient expectations in pre-operative planning.Ethics, dissemination and data availabilityNo ethical approval required. The final review will be submitted to peer-reviewed journals for publication and disseminated publicly. The datasets used and/or analysed in this review will be available from the corresponding author on reasonable request. Systematic review registrationPROSPERO registration number.CRD42021282264.

MolSearch: Search-based Multi-objective Molecular Generation and Property Optimization.

Leveraging computational methods to generate small molecules with desired properties has been an active research area in the drug discovery field. Towards real-world applications, however, efficient generation of molecules that satisfy multiple property requirements simultaneously remains a key challenge. In this paper, we tackle this challenge using a search-based approach and propose a simple yet effective framework called MolSearch for multi-objective molecular generation (optimization). We show that given proper design and sufficient information, search-based methods can achieve performance comparable or even better than deep learning methods while being computationally efficient. Such efficiency enables massive exploration of chemical space given constrained computational resources. In particular, MolSearch starts with existing molecules and uses a two-stage search strategy to gradually modify them into new ones, based on transformation rules derived systematically and exhaustively from large compound libraries. We evaluate MolSearch in multiple benchmark generation settings and demonstrate its effectiveness and efficiency.

Factorized Geometrical Autofocus for UWB UHF-Band SAR With a GPS-Supported Linear Track Model

This article describes how to form a SAR image without proper motion quantities. That is within the scope of factorized geometrical autofocus (FGA). The FGA algorithm is a fast-factorized back-projection formulation with adjustable geometry parameters. Subapertures are tuned and merged pair-by-pair (base-2) and step-by-step. With this technique, we can correct an erroneous geometry and form a focused image. The FGA algorithm has been applied on two datasets, acquired by the UWB CARABAS 3 system at UHF-band. The tracks are measured accurately by means of a DGPS. We however adopt and modify a geometry model. Equidistant linear tracks at fixed altitudes are assumed. These tracks are then regulated via a two-stage search strategy and a reverseprocessing procedure. As this is a first experiment at UHF-band, we provide GPS-based length values for the subapertures, to simplify the search. Multiple geometry solutions are tested for each subaperture pair, i.e., at each resolution level. Resulting FGA images are compared to reference images and verified to be focused. This indicates that it is feasible to form a focused image with wavelength resolution at UHF-band, i.e., with minimum support from a motion measurement system.

What Do People Want in a Smoking Cessation App? An Analysis of User Reviews and App Quality.

Mobile smoking cessation (mCessation) apps have the potential to complement and enhance existing interventions, but many are of low quality. Exploring app reviews can provide a broader understanding of user experiences and engagement, to enhance the quality, acceptability, and effectiveness of future developments. Publicly available user reviews and ratings of smoking cessation apps were mined from Google Play and the App Store via a targeted two-stage search strategy. English language smoking cessation apps with at least 20 consumer reviews between 2011 and 2020 were included. User reviews were thematically analyzed using Braun and Clarke's framework. Apps were independently scored using the Mobile Apps Rating Scale (MARS) and compared to average user star ratings. Forty-eight versions of 42 apps, encompassing 1414 associated reviews, met eligibility criteria. Inductive coding of reviews produced 1084 coding references including reviews coded across multiple nodes. Themes generated included: (1) supportive characteristics/tools; (2) useability; (3) influence on smoking behavior; (4) benefits of quitting; and (5) role as a supplementary tool for quitting. The mean MARS score of 36 free and accessible apps was 3.10 (SD 0.71) with mean scores ranging from 2.00 to 4.47. An inverse relationship between MARS scores and average user star ratings was observed. App personalization, relationality, functionality, and credibility were important to users, and should be considered as key design components for future apps. Differences between user star ratings and MARS scores may illustrate competing priorities of consumers and researchers, and the importance of a codesign development method. This is the first study to use unsolicited user reviews from a large population to understand the general mCessation user experience in relation to making a quit attempt. Our findings highlight specific features favored and disliked by users, including their influence on engagement, and supports previous findings that mCessation applications need to be highly tailorable, functional, credible, and supportive. We recommend a consumer-driven, co-design approach for future mCessation app developments to optimize user acceptability and engagement.

Assessing resiliency in paediatric rehabilitation: A critical review of assessment tools and applications.

Resiliency has attracted a growing interest in paediatric rehabilitation as a key capacity for disabled children and their families to thrive. This study aimed to identify measures used to assess resiliency of disabled children/youth and their families and critically appraise the current use of resiliency measures to inform future research and practice. A two-stage search strategy was employed. First, systematic reviews of resiliency measures published since 2000 were searched. Second, full names of measures identified in at least two systematic reviews were searched across four electronic databases. Included studies assessed resiliency among children/youth (0-18 years old) with chronic health conditions and/or disabilities and their families. Identified articles were then analysed to discern the study's definition of resiliency, authors' rationales for measurement selection, and types of perceived adversities facing the study participants. From an initial yield of 25 measures identified in five systematic reviews, 11 were analysed in two or more reviews. The second stage yielded 41 empirical studies published between 2012 and 2018, which used 8 of the 11 resiliency measures searched by name. Of 41, 17 studies measured resiliency of disabled children/youth, 23 assessed resiliency within family members, and 1 studied both children/youth and their families. Our critical appraisal identified inconsistencies between the studies' definition of resiliency and chosen measures' operationalization, implicit assumption of disabilities as a developmental risk that automatically results in life adversities, and the tendency among family studies to reduce resiliency down to stress coping skills. Research that encompasses contextual factors and developmental influences is lacking. There is a need for a situated measurement approach that captures multiple interacting factors shaping resiliency over one's life course. Resiliency measures would benefit from a greater focus on a person-environment transaction and an alternative definition of resiliency that accounts for multiple capacities to navigate through disabling environments.

Comparison of Recommendations and Use of Cardiovascular Risk Equations by Health Technology Assessment Agencies and Clinical Guidelines

ObjectivesTo identify risk equations for cardiovascular diseases (CVDs) in primary and secondary prevention settings that are used or recommended by health technology assessment (HTA) organizations and in clinical guidelines (CGs). MethodsA targeted literature review was conducted using a two-stage search strategy. First, HTA reviews of manufacturers’ drug submissions, reports from established HTA organizations (Europe, Canada, and Australia), and CGs from countries with and without HTA organizations, including the United States, were identified. Documents published between September 30, 2006 and September 30, 2016, were examined for cardiovascular risk equations, recommendations, and commentaries. Next, publications associated with risk equations and cited by HTA and CG documents were retrieved. This literature was examined to extract commentaries and risk equation study characteristics. ResultsThe review identified 47 risk equations, 25 in the primary CVD prevention setting (i.e., patients with no CVD history), including 5 for CVD prevention in diabetes and 22 solely in secondary prevention settings; 11 were identified for heart failure, 3 for stroke or transient ischemic attack, 2 for stable angina, and 11 for acute coronary syndrome or related conditions. A small set of primary prevention equations was found to be commonly used by HTAs, whereas secondary prevention equations were less common in HTA documents. CGs provided more risk equations as options than HTA documents. ConclusionsAlthough there is an abundance of risk equations developed for primary and secondary prevention, there remains a need for additional research to provide sufficient clinical and HTA guidance for risk estimation, particularly in high-risk or secondary prevention settings.

PhoPepMass: A database and search tool assisting human phosphorylation peptide identification from mass spectrometry data

Protein phosphorylation, one of the most important protein post-translational modifications, is involved in various biological processes, and the identification of phosphorylation peptides (phosphopeptides) and their corresponding phosphorylation sites (phosphosites) will facilitate the understanding of the molecular mechanism and function of phosphorylation. Mass spectrometry (MS) provides a high-throughput technology that enables the identification of large numbers of phosphosites. PhoPepMass is designed to assist human phosphopeptide identification from MS data based on a specific database of phophopeptide masses and a multivariate hypergeometric matching algorithm. It contains 244,915 phosphosites from several public sources. Moreover, the accurate masses of peptides and fragments with phosphosites were calculated. It is the first database that provides a systematic resource for the query of phosphosites on peptides and their corresponding masses. This allows researchers to search certain proteins of which phosphosites have been reported, to browse detailed phosphopeptide and fragment information, to match masses from MS analyses with defined threshold to the corresponding phosphopeptide, and to compare proprietary phosphopeptide discovery results with results from previous studies. Additionally, a database search software is created and a “two-stage search strategy” is suggested to identify phosphopeptides from tandem mass spectra of proteomics data. We expect PhoPepMass to be a useful tool and a source of reference for proteomics researchers. PhoPepMass is available at https://www.scbit.org/phopepmass/index.html.

A systematic review of evidence on psychometric properties of information literacy tests

PurposeThis paper aims to present the results of a systematic review of the evidence on psychometric properties of information literacy (IL) tests.Design/methodology/approachA two-stage search strategy was used to find relevant studies in two subject and three general databases. A descriptive review of test characteristics and psychometric properties was presented. The review included 29 studies describing psychometric properties of 18 IL tests.FindingsIt was found that the classical test theory was applied for all tests. However, the item response theory was also applied in three cases. Most of the psychometric tests were developed in the USA using ACRL IL competency standards. The most commonly used psychometric analyses include content validity, discriminant validity and internal consistency reliability.Research limitations/implicationsOnly studies in English language are included in this review.Practical implicationsThe study recommends that standards should be developed for the use and reporting of psychometric measures in designing IL tests. Librarians need to be trained in psychometric analysis of tests.Originality/valueIt is the first study that systematically reviewed psychometric properties of IL tests. The findings are useful for librarians who are teaching IL courses.

Biomarkers for the detection of renal fibrosis and prediction of renal outcomes: a systematic review

BackgroundFibrosis is the unifying pathway leading to chronic kidney disease. Identifying biomarkers of fibrosis may help predict disease progression.MethodsWe performed a systematic review to evaluate the reliability of blood and urine biomarkers in identifying fibrosis on biopsy as well as predicting renal outcomes. Using MEDLINE and EMBASE, a two-stage search strategy was implemented. Stage I identified a library of biomarkers correlating with fibrosis on biopsy. Stage II evaluated the association between biomarkers identified in stage I, and renal outcomes. Only biomarkers with moderate positive correlation with fibrosis (r > 0.40) or acceptable area under the curve (AUC >0.65) advanced to stage II.ResultsStage I identified 17 studies and 14 biomarkers. Five biomarkers met criteria to advance to stage II, but only three were independently associated with renal outcomes. Transforming growth factor β (TGF-β) correlated with fibrosis (r = 0.60), and was associated with 1.7–3.9 times the risk of worsening renal function in 426 patients. Monocyte chemoattractant protein-1 (MCP-1) diagnosed fibrosis with AUC of 0.66 and was associated with 2.3–11.0 times the risk of worsening renal function in 596 patients. Matrix metalloproteinase-2 (MMP-2) correlated with fibrosis (r = 0.41), and was associated with 2.5 times the risk of worsening renal function.ConclusionsGiven the heterogeneity of the data due to diverse patient populations along with differing renal outcomes, a meta-analysis could not be conducted. Nonetheless we can conclude from the published data that TGF-β, MCP-1 and MMP-2 may identify patients at risk for renal fibrosis and hence worse renal outcomes.

Patient-reported outcome measures for cancer caregivers: a systematic review.

PurposeInformal caregivers provide invaluable help and support to people with cancer. As treatments extend survival and the potential burdens on carers increase, there is a need to assess the impact of the role. This systematic review identified instruments that measure the impact of caregiving, evaluated their psychometric performance specifically in cancer and appraised the content.MethodsA two-stage search strategy was employed to: (1) identify instruments that measure the impact of caregiving, and (2) run individual searches on each measure to identify publications evaluating psychometric performance in the target population. Searches were conducted in MEDLINE, EMBASE, CINAHL and PsycINFO and restricted to English for instrument used and article language. Psychometric performance was evaluated for content and construct validity, internal consistency, test–retest reliability, precision, responsiveness and acceptability. Individual scale items were extracted and systematically categorised into conceptual domains.ResultsTen papers were included reporting on the psychometric properties of eight measures. Although construct validity and internal consistency were most frequently evaluated, no study comprehensively evaluated all relevant properties. Few studies met our inclusion criteria so it was not possible to consider the psychometric performance of the measures across a group of studies. Content analysis resulted in 16 domains with 5 overarching themes: lifestyle disruption; well-being; health of the caregiver; managing the situation and relationships.ConclusionsFew measures of caregiver impact have been subject to psychometric evaluation in cancer caregivers. Those that have do not capture well changes in roles and responsibilities within the family and career, indicating the need for a new instrument.Electronic supplementary materialThe online version of this article (doi:10.1007/s11136-016-1239-0) contains supplementary material, which is available to authorized users.

An agent-based peer-to-peer architecture for semantic discovery of manufacturing services across virtual enterprises

With the development of virtual enterprise (VE) paradigm, the usage of serviceoriented architecture (SOA) is increasingly being considered for facilitating the integration and utilisation of distributed manufacturing resources. However, due to the heterogeneous nature among VEs, the dynamic nature of a VE and the autonomous nature of each VE member, the lack of both sophisticated coordination mechanism in the popular centralised infrastructure and semantic expressivity in the existing SOA standards make the current centralised, syntactic service discovery method undesirable. This motivates the proposed agent-based peer-to-peer (P2P) architecture for semantic discovery of manufacturing services across VEs. Multi-agent technology provides autonomous and flexible problemsolving capabilities in dynamic and adaptive VE environments. Peer-to-peer overlay provides highly scalable coupling across decentralised VEs, each of which exhibiting as a peer composed of multiple agents dealing with manufacturing services. The proposed architecture utilises a novel, efficient, two-stage search strategy – semantic peer discovery and semantic service discovery – to handle the complex searches of manufacturing services across VEs through fast peer filtering. The operation and experimental evaluation of the prototype system are presented to validate the implementation of the proposed approach.

A two-stage search strategy for detecting multiple loci associated with rheumatoid arthritis

Gene x gene interactions play important roles in the etiology of complex multi-factorial diseases like rheumatoid arthritis (RA). In this paper, we describe our use of a two-stage search strategy consisting of information theoretic methods and logistic regression to detect gene x gene interactions associated with RA using the data in Problem 1 of Genetic Analysis Workshop 16. Our method detected interactions of several SNPs (single-SNP and SNP x SNP) that are located on chromosomal regions linked to RA and related diseases in previous studies.