Two-stage Search Research Articles

Privacy-Preserving Search on Medical Data.

Data sharing spaces for medical data are necessary to facilitate research. To make medical data available for research, a mechanism is preferable that not only provides data a researcher has legal access to, but also contributes to the investigation of their specific research hypothesis. We propose a three-party two-stage search algorithm initiated by a researcher on centrally stored but technically and organizationally separated data. The search seeks to minimize the risk of reidentification of patients and to enable data minimization. In the first stage, we only access data IDs of patients meeting the cohort criteria. In the second stage, the actual data is downloaded if the set of matching patients satisfies the minimum cohort size. Our approach is privacy preserving, as only the researcher is able to connect medical and demographic data, while no single malicious party can get data access. We thereby hope to pave the way for a privacy-aware health data sharing space as currently proposed by the EU.

LPI-based resource allocation strategy for multiple targets tracking in CMIMO radar system with array division

Considering the scenario of multiple targets equipped with interceptors in the modern electronic warfare environment, an LPI-based Resource Allocation Strategy (LPIRAS) for multiple targets tracking (MTT) in collocated MIMO (CMIMO) radar is proposed in this paper, where subarray number is exploited in the low probability of intercept (LPI) optimization problem for the first time. As the problem is formulated as a nonconvex and nonlinear optimization problem, the array power, target-beam assignment, subarray number, and subarray-beam assignment are corporately managed through a methodology incorporating the two-stage search algorithm (TSA), permutation-based target swarm generation algorithm (PTSGA) and adaptive extra subarray assignment algorithm (AESAA), resulting the LPIRAS. Finally, numerical simulations show the proposed strategy is effective and real-time. In comparison to other benchmarks, the LPIRAS achieves superior LPI performance.

A spherical evolution algorithm with two-stage search for global optimization and real-world problems

This paper proposes a spherical evolution algorithm with two-stage search. Spherical search and hypercube search are combined to achieve individuals' evolution. A self-adaptive Gaussian scale factor and a variable scale factor are designed to adaptively control individuals' spherical and hypercube search area according to their search situations. Two search stages frequently switch with four search cases to enhance the balance between exploration and exploitation processes. A directed adjacency matrix is devised to analyze the relationship among individuals from the perspective of graph theory. Experiments compare the proposed algorithm with five algorithms with distinctive search patterns on twenty nine CEC2017 benchmark functions. The diversity analysis and graph theory analysis show the good population diversity and effective information spreading of the proposed algorithm. Twenty two real-world problems evaluate the practicality and optimization ability of the proposed algorithm. Finally, the computational time complexity demonstrates that the proposed algorithm is more efficient than the original spherical evolution algorithm.

Алгоритмы поиска фразеологизмов в лингвистическом корпусе с морфологической разметкой (индоевропейские языки)

The aim of the applied research is to build algorithms for searching phraseological units that are compatible with our previously developed model of a linguistic corpus with morphological markup according to spaCy rules. The scientific novelty is due to the fact that for the first time, within the framework of the corpus approach, a set of universal ways to search for phraseological units is proposed with a minimum amount of manual labor and using elements of end-to-end digital technologies. During the study, the technical parameters of phraseological units to be searched were described; the capabilities of the author’s corpus manager within the framework of manual and special manual queries were examined; two algorithms for a two-stage search for individual phraseological units and their groups were developed and tested on the basis of a representative corpus of texts from German-language media; detailed examples of search results were provided. As a result, the consistency of the developed algorithms has been proved and it has been experimentally established that the search error lies in the acceptable range of 0-14.8%.

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.

Search algorithm for the reflected signal of a satellite radio altimeter

Satellite altimeters are installed on spacecraft designed to solve problems of Earth exploration, and in addition to altitude, they are able to measure the degree of sea surface roughness and some other parameters. A rough determination of the delay time of the probing signal of the altimeter is the signal search procedure, the quality of which in real conditions can be degraded by the presence of an unknown rate of change in the height of the spacecraft. The need for a search procedure arises every time the altimeter loses the reflected signal, for example, after the satellite crosses the border of the land with the water surface. The presence of the rate of change in the height of the apparatus during the search leads to a slip of the signal relative to the time scale of the altimeter, reducing the efficiency of the search. The decrease in the influence of this factor is facilitated by a reduction in the duration of coherent signal accumulation. The aim of the work is to develop an algorithm for searching for the echo signal of a space-based altimeter, less sensitive to possible changes in the height of the spacecraft while reducing the duration of the search. The paper analyzes and compares the characteristics of two echo signal search algorithms. The first algorithm is the usual one-step procedure that checks the time uncertainty zone step by step using a bank of correlators of a given size. As an alternative, a two-stage search is proposed, the first stage of which selects the points of the uncertainty zone in which the presence of a signal is suspected. At the second stage, the results of the first are retested in order to identify a single point that should be recognized as containing a signal, while the coherent accumulation time is determined by the longest stage. It is shown that the two-stage algorithm is less sensitive to changes in the altitude of the spacecraft, provides a reduction in the duration of the search with the same probability of its correct outcome, and can be recommended for use in a space radio altimeter.

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.

Smartphone-Based Social Distance Detection Technology with Near-Ultrasonic Signal.

With the emergence of COVID-19, social distancing detection is a crucial technique for epidemic prevention and control. However, the current mainstream detection technology cannot obtain accurate social distance in real-time. To address this problem, this paper presents a first study on smartphone-based social distance detection technology based on near-ultrasonic signals. Firstly, according to auditory characteristics of the human ear and smartphone frequency response characteristics, a group of 18 kHz–23 kHz inaudible Chirp signals accompanied with single frequency signals are designed to complete ranging and ID identification in a short time. Secondly, an improved mutual ranging algorithm is proposed by combining the cubic spline interpolation and a two-stage search to obtain robust mutual ranging performance against multipath and NLoS affect. Thirdly, a hybrid channel access protocol is proposed consisting of Chirp BOK, FDMA, and CSMA/CA to increase the number of concurrencies and reduce the probability of collision. The results show that in our ranging algorithm, 95% of the mutual ranging error within 5 m is less than 10 cm and gets the best performance compared to the other traditional methods in both LoS and NLoS. The protocol can efficiently utilize the limited near-ultrasonic channel resources and achieve a high refresh rate ranging under the premise of reducing the collision probability. Our study can realize high-precision, high-refresh-rate social distance detection on smartphones and has significant application value during an epidemic.

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.

Prenylated Flavonoids in Topical Infections and Wound Healing.

The review presents prenylated flavonoids as potential therapeutic agents for the treatment of topical skin infections and wounds, as they can restore the balance in the wound microenvironment. A thorough two-stage search of scientific papers published between 2000 and 2022 was conducted, with independent assessment of results by two reviewers. The main criteria were an MIC (minimum inhibitory concentration) of up to 32 µg/mL, a microdilution/macrodilution broth method according to CLSI (Clinical and Laboratory Standards Institute) or EUCAST (European Committee on Antimicrobial Susceptibility Testing), pathogens responsible for skin infections, and additional antioxidant, anti-inflammatory, and low cytotoxic effects. A total of 127 structurally diverse flavonoids showed promising antimicrobial activity against pathogens affecting wound healing, predominantly Staphylococcus aureus strains, but only artocarpin, diplacone, isobavachalcone, licochalcone A, sophoraflavanone G, and xanthohumol showed multiple activity, including antimicrobial, antioxidant, and anti-inflammatory along with low cytotoxicity important for wound healing. Although prenylated flavonoids appear to be promising in wound therapy of humans, and also animals, their activity was measured only in vitro and in vivo. Future studies are, therefore, needed to establish rational dosing according to MIC and MBC (minimum bactericidal concentration) values, test potential toxicity to human cells, measure healing kinetics, and consider formulation in smart drug release systems and/or delivery technologies to increase their bioavailability.

Evaluating measures of quality of life in adult scoliosis: a systematic review and narrative synthesis.

To systematically review and synthesise the evidence on the measurement properties of patient-reported outcome measure (PROMs) used to assess the quality of life in patients with adult scoliosis. Based on the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) guidelines and a published protocol, a two-stage search was conducted and reported in line with the Preferred Reporting Items for Systematic review and Meta-analysis (PRISMA). Stage one identified all studies of patients with adult scoliosis which included PROMs of health-related quality of life (HR-QOL). Databases including AMED, CINAHL, EMBASE, Medline, PsychINFO and Pubmed were searched from inception until 31st December 2020. This derived list of PROMs, was then utilised for a stage 2 search to identify studies which evaluated the measurement properties of the PROMs. Two reviewers independently performed the searches, study screening, selection and risk of bias assessment using the COSMIN tool. The overall quality of the evidence was assessed using a modified Grading of Recommendations Assessment, Development and Evaluation approach. Stage one yielded 16 PROMs of HR-QOL with the Oswestry Disability Index (ODI) and Scoliosis Research Society-22 (SRS-22) the most used. Stage two identified three stage one PROMs that fulfilled eligibility criteria: SRS-22, ODI and SRS-22r; with five studies investigating measurement properties in an adult scoliosis population. The SRS-22 was the most comprehensively evaluated PROM in this cohort with very low-quality evidence indicating indeterminate reliability, sufficient construct validity and sufficient responsiveness of the SRS-22. There is very low-quality evidence indicating sufficient responsiveness of the ODI. There is very low-quality evidence indicating indeterminate cross-cultural validity for the SRS-22r. All other measurement properties in the SRS-22, ODI and SRS-22r have not been evaluated. A large number of PROMs are being utilised in the adult scoliosis population and of these, the most commonly utilised are the ODI and SRS-22. The SRS-22, ODI and SRS-22r are the only PROMs to have had their measurement properties evaluated in the adult scoliosis population. The findings of this systematic review are that there currently is not sufficient evidence on the measurement properties of any PROMs in adult scoliosis. Further research is now urgently required to assess the measurement properties of these PROMs.

Multimodal and multi-objective optimization algorithm based on two-stage search framework

Multimodal and multi-objective optimization algorithm based on two-stage search framework