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Artículos de revistas sobre el tema "Incremental elicitation"

Autor: Grafiati
Publicado: 25 de mayo de 2024
Última modificación: 31 de julio de 2025

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1

Delima, Rosa, and Joko Purwadi. "Development of GoEliTool using Iterative Incremental Approach." CCIT Journal 17, no. 2 (2024): 155–69. https://doi.org/10.33050/ccit.v17i2.2857.

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GoEliTool is a tool for requirements elicitation during the requirements engineering process. Such a tool is specifically developed for elicitation through a goal-oriented requirements engineering (GORE) approach. GoEliTool was developed in the previous study. However, the first version of the tool still had many limitations to be corrected so that the process of data elicitation from stakeholders could be carried out more easily and effectively. In this study, the development of the tool was performed through an iterative, incremental approach based on the limitations found in the previous ve
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Benabbou, Nawal, Cassandre Leroy, Thibaut Lust, and Patrice Perny. "Combining Preference Elicitation with Local Search and Greedy Search for Matroid Optimization." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 14 (2021): 12233–40. http://dx.doi.org/10.1609/aaai.v35i14.17452.

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We propose two incremental preference elicitation methods for interactive preference-based optimization on weighted matroid structures. More precisely, for linear objective (utility) functions, we propose an interactive greedy algorithm interleaving preference queries with the incremental construction of an independent set to obtain an optimal or near-optimal base of a matroid. We also propose an interactive local search algorithm based on sequences of possibly improving exchanges for the same problem. For both algorithms, we provide performance guarantees on the quality of the returned soluti
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Benabbou, Nawal, Patrice Perny, and Paolo Viappiani. "Incremental elicitation of Choquet capacities for multicriteria choice, ranking and sorting problems." Artificial Intelligence 246 (May 2017): 152–80. http://dx.doi.org/10.1016/j.artint.2017.02.001.

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Benabbou, Nawal, and Patrice Perny. "Interactive resolution of multiobjective combinatorial optimization problems by incremental elicitation of criteria weights." EURO Journal on Decision Processes 6, no. 3-4 (2018): 283–319. http://dx.doi.org/10.1007/s40070-018-0085-4.

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Bourdache, Nadjet, and Patrice Perny. "Active Preference Learning Based on Generalized Gini Functions: Application to the Multiagent Knapsack Problem." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 7741–48. http://dx.doi.org/10.1609/aaai.v33i01.33017741.

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We consider the problem of actively eliciting preferences from a Decision Maker supervising a collective decision process in the context of fair multiagent combinatorial optimization. Individual preferences are supposed to be known and represented by linear utility functions defined on a combinatorial domain and the social utility is defined as a generalized Gini Social evaluation Function (GSF) for the sake of fairness. The GSF is a non-linear aggregation function parameterized by weighting coefficients which allow a fine control of the equity requirement in the aggregation of individual util
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Benabbou, Nawal, Cassandre Leroy, and Thibaut Lust. "An Interactive Regret-Based Genetic Algorithm for Solving Multi-Objective Combinatorial Optimization Problems." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 03 (2020): 2335–42. http://dx.doi.org/10.1609/aaai.v34i03.5612.

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We propose a new approach consisting in combining genetic algorithms and regret-based incremental preference elicitation for solving multi-objective combinatorial optimization problems with unknown preferences. For the purpose of elicitation, we assume that the decision maker's preferences can be represented by a parameterized scalarizing function but the parameters are initially not known. Instead, the parameter imprecision is progressively reduced by asking preference queries to the decision maker during the search to help identify the best solutions within a population. Our algorithm, calle
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Wan, Ping, Chaozhong Wu, Yingzi Lin, and Xiaofeng Ma. "Driving Anger States Detection Based on Incremental Association Markov Blanket and Least Square Support Vector Machine." Discrete Dynamics in Nature and Society 2019 (March 26, 2019): 1–17. http://dx.doi.org/10.1155/2019/2745381.

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Driving anger, known as “road rage”, has gradually become a serious traffic psychology issue. Although driving anger identification is solved in some studies, there is still a gap in driving anger grading which is helpful to take different intervening measures for different anger intensity, especially in real traffic environment. The main objectives of this study are: (1) explore a novel driving anger induction method based on various elicitation events, e.g., traffic congestion, vehicles weaving/cutting in line, jaywalking and red light waiting in real traffic environment; (2) apply increment
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Chu, Thanh-Quang, Alexis Drogoul, Alain Boucher, and Jean-Daniel Zucker. "Interactive Learning of Independent Experts' Criteria for Rescue Simulations." JUCS - Journal of Universal Computer Science 15, no. (13) (2009): 2701–25. https://doi.org/10.3217/jucs-015-13-2701.

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Efficient response to natural disasters has an increasingly important role in limiting the toll on human life and property. The work we have undertaken seeks to improve existing models by building a Decision Support System (DSS) of resource allocation and planning for natural disaster emergencies in urban areas. A multi-agent environment is used to simulate disaster response activities, taking into account geospatial, temporal and rescue organizational information. The problem we address is the acquisition of situated expert knowledge that is used to organize rescue missions. We propose an app
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9

Schlander, Michael, Diego Hernandez, Oliver Schwarz, and Ramon Schaefer. "PP74 Are Commonly Used Cost-Effectiveness Thresholds Too Low? Empirical Evidence From Economic Studies On The Value Of Life." International Journal of Technology Assessment in Health Care 40, S1 (2024): S85. https://doi.org/10.1017/s0266462324002435.

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IntroductionIn health technology assessment (HTA), “value for money” is frequently conceptualized as incremental cost-effectiveness (CE), with effectiveness measured as (quality-adjusted) life years gained (LYG). Commonly used CE thresholds have been subject to controversial debate. We reviewed and analyzed the worldwide economic literature on the value of a statistical life (VSL), which reported empirical estimates during the last 25 years.MethodsWe conducted an extended systematic literature search in the EconBiz and EconLit databases, spanning the period from January 1995 to December 2020.
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10

Carr, Katherine, Cam Donaldson, John Wildman, Robert Smith, and Christopher R. Vernazza. "An Examination of Consistency in the Incremental Approach to Willingness to Pay: Evidence Using Societal Values for NHS Dental Services." Medical Decision Making 41, no. 4 (2021): 465–74. http://dx.doi.org/10.1177/0272989x21996329.

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Introduction Willingness to pay (WTP) is used to generate information about value. However, when comparing 2 or more services using standard WTP techniques, the amounts elicited from participants for the services are often similar, even when individuals state a clear preference for one service over another. An incremental approach has been suggested, in which individuals are asked to first rank interventions and provide a WTP value for their lowest-ranked intervention followed by then asking how much more they are willing to pay for their next preferred choice and so on. To date, evaluation of
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11

Rehman, Shafiq, and Volker Gruhn. "An Effective Security Requirements Engineering Framework for Cyber-Physical Systems." Technologies 6, no. 3 (2018): 65. http://dx.doi.org/10.3390/technologies6030065.

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Context and motivation: Cyber-Physical Systems (CPSs) are gaining priority over other systems. The heterogeneity of these systems increases the importance of security. Both the developer and the requirement analyst must consider details of not only the software, but also the hardware perspective, including sensor and network security. Several models for secure software engineering processes have been proposed, but they are limited to software; therefore, to support the processes of security requirements, we need a security requirements framework for CPSs. Question/Problem: Do existing security
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Chen, Yangyang, Cong Chen, Hao Wen, et al. "From Use Case to Use Case Slices." International Journal of Information System Modeling and Design 10, no. 4 (2019): 24–50. http://dx.doi.org/10.4018/ijismd.2019100102.

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A use case has been widely adopted for requirements specification, which can be created on a high abstraction level or a very detailed level. A use case with a very detailed level can be a lot more useful for requirements elicitation, but such a model may become too complex and difficult to understand the whole context. A use case slice is introduced in order to simplify the requirements analysis and ensure the correctness of software incremental development process (e.g., the agile development process). However, a use case is usually divided into multiple use case slices in a manual way. Some
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Ponsford, Ruth. "“I don’t really care about me, as long as he gets everything he needs” – young women becoming mothers in consumer culture." Young Consumers 15, no. 3 (2014): 251–62. http://dx.doi.org/10.1108/yc-10-2013-00401.

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Purpose – As becoming a mother becomes increasingly embedded in the marketplace, this paper explores how a group of low-income pregnant and newly parenting young mothers engaged with expansive markets for the new mother and baby. Design/methodology/approach – This paper draws on an extended period of fieldwork carried out at a Pupil Referral Unit and a Mother and Baby Unit in the city of Bristol, UK. The research took a staged and incremental approach, incorporating aspects of participant observation, activity-based focus groups and a photo elicitation exercise. Findings – This paper highlight
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14

Khriss, Ismaïl, Mohammed Elkoutbi, and Rudolf K. Keller. "AUTOMATIC SYNTHESIS OF BEHAVIORAL OBJECT SPECIFICATIONS FROM SCENARIOS." Journal of Integrated Design and Process Science: Transactions of the SDPS, Official Journal of the Society for Design and Process Science 5, no. 3 (2001): 53–77. http://dx.doi.org/10.3233/jid-2001-5305.

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The use of scenarios has become a popular technique for requirements elicitation and specification building. Since scenarios capture only partial descriptions of system behavior, an approach for scenario composition and integration is needed to produce more complete specifications. The Unified Modeling Language (UML), which has become a standard notation for object-oriented modeling, provides a suitable framework for scenario acquisition using Use Case diagrams and Collaboration diagrams and for behavioral specification using Statechart diagrams; yet it does not propose any specific modeling p
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15

Hill, Jordan, Mike Paulden, Christopher McCabe, et al. "Metformin (Met): A cost-effective adjunct therapy with enzalutamide (Enza) for metastatic castrate-resistant prostate cancer (mCRPC)?" Journal of Clinical Oncology 34, no. 2_suppl (2016): 340. http://dx.doi.org/10.1200/jco.2016.34.2_suppl.340.

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340 Background: Several new therapies have changed the landscape of prostate cancer (PCa) treatment, primarily due to their effectiveness in treating patients with mCRPC. Enza has garnered much attention, but is relatively expensive (~$3175/month). Met is less expensive (~$8.00/month) and has been used for decades to treat patients with non-insulin dependent diabetes. Two recent large population-based studies of PCa have demonstrated that diabetics taking Met had improved PCa specific and overall survival compared to those not taking Met. As a result, we hypothesized that Met has the potential
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16

Susetyo, Cahyono, Harry Timmermans, and Bauke de Vries. "Orthogonal strategy based computer-mediated negotiation: Principles and example." Environment and Planning B: Urban Analytics and City Science 46, no. 6 (2018): 1036–60. http://dx.doi.org/10.1177/2399808317748160.

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Previous efforts to improve stakeholders’ involvement in planning and decision-making processes mostly put planners and decision makers as the ones who decide which solution is the best for the decision problems. In bottom-up planning and decision-making processes that supposedly involve stakeholders as much as possible, the most common practice is that when stakeholders have different preferences about the decision issues, supra decision makers such as planners and experts gather stakeholders’ preferences, and then, using their expertise and experience, decide what is the best choice for stak
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Iqtiar, Md Siddique. "A Framework for Agile Requirements Engineering in Large-Scale Projects." Journal of Scientific and Engineering Research 11, no. 2 (2024): 222–27. https://doi.org/10.5281/zenodo.11310893.

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In today's rapidly evolving technological landscape, large-scale projects demand adaptive methodologies to effectively manage requirements engineering processes. Traditional waterfall approaches often struggle to keep pace with changing project dynamics, leading to delays, cost overruns, and suboptimal outcomes. In response to these challenges, the adoption of agile methodologies has gained traction, offering flexibility, responsiveness, and enhanced collaboration throughout the project lifecycle. This paper proposes a comprehensive framework for agile requirements engineering tailored specifi
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18

Marques, Johnny, and Adilson Marques da Cunha. "ARES: An Agile Requirements Specification Process for Regulated Environments." International Journal of Software Engineering and Knowledge Engineering 29, no. 10 (2019): 1403–38. http://dx.doi.org/10.1142/s021819401950044x.

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Agile methods have provided significant contributions to Software Engineering. This work presents a new process for Software Requirements Specification, integrating Agile Properties and regulated environments, such as aviation, medical, nuclear and automotive, among others. The Software in Regulated Environments (SRE) involves plan-driven methods with needed documentation to ensure safety, reliability, security, and discipline. This paper proposes a balance between agile and plan-driven methods. We define a new process, which explores and investigates the usage of agile methods in SRE. The sco
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Iqtiar, Md Siddique. "A Framework for Agile Requirements Engineering in Large-Scale Projects." European Journal of Advances in Engineering and Technology 10, no. 10 (2023): 95–101. https://doi.org/10.5281/zenodo.12804363.

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In today's rapidly evolving technological landscape, large-scale projects demand adaptive methodologies to effectively manage requirements engineering processes. Traditional waterfall approaches often struggle to keep pace with changing project dynamics, leading to delays, cost overruns, and suboptimal outcomes. In response to these challenges, the adoption of agile methodologies has gained traction, offering flexibility, responsiveness, and enhanced collaboration throughout the project lifecycle. This paper proposes a comprehensive framework for agile requirements engineering tailored specifi
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20

Chatzidakis, Andreas, Sally Hibbert, and Heidi Winklhofer. "Are consumers’ reasons for and against behaviour distinct?" European Journal of Marketing 50, no. 1/2 (2016): 124–44. http://dx.doi.org/10.1108/ejm-10-2013-0601.

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Purpose – The purpose of this paper is to add clarity to current conceptualisations of attitudes towards giving versus not giving and to identify an approach that better informs interventions that seek to promote particular types of pro-social consumer behaviour. Despite a considerable body of research that provides insights into why people give to charity, there is comparatively little understanding of the reasons why others decide not to give. More generally, existing applications of attitudinal models do not differentiate between decisions to perform and not to perform a behaviour. This pap
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21

Asirwa, Fredrick Chite, Brian W. Bresnahan, Faith Yego, Dana Duncan, James K. Karichu, and Louis P. Garrison Jr. "A prospective model of the potential clinical and economic impact of cervical cancer screening supported by a mobile phone app." PLOS ONE 20, no. 1 (2025): e0316001. https://doi.org/10.1371/journal.pone.0316001.

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Introduction Cervical cancer is a preventable and highly curable disease when detected early and adequately treated, yet it remains the leading cause of cancer-related death in women in Kenya due to low screening coverage and treatment. Implementing World Health Organization screening guidelines for human papillomavirus (HPV) is challenging due to the complex logistics of result return and follow-up requiring multiple clinic visits. Increasing the use of mobile technology can support follow-up care in cervical cancer screening programs. Methods We developed a prospective clinico-economic model
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Tan, MCY, NT Ayas, A. Mulgrew, et al. "Cost-Effectiveness of Continuous Positive Airway Pressure Therapy in Patients with Obstructive Sleep Apnea-Hypopnea in British Columbia." Canadian Respiratory Journal 15, no. 3 (2008): 159–65. http://dx.doi.org/10.1155/2008/719231.

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BACKGROUND: Obstructive sleep apnea-hypopnea (OSAH) is a common disorder characterized by recurrent collapse of the upper airway during sleep. Patients experience a reduced quality of life and an increased risk of motor vehicle crashes (MVCs). Continuous positive airway pressure (CPAP), which is the first-line therapy for OSAH, improves sleepiness, vigilance and quality of life.OBJECTIVE: To assess the cost-effectiveness of CPAP therapy versus no treatment for OSAH patients who are drivers.METHODS: A Markov decision analytical model with a five-year time horizon was used. The study population
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23

Kedra, J., B. Granger, L. EL Houari, F. Tubach, and B. Fautrel. "OP0264 COST-UTILITY OF A PROGRESSIVE SPACING OF TOCILIZUMAB OR ABATACEPT IN PATIENTS WITH RHEUMATOID ARTHRITIS IN SUSTAINED REMISSION: A MEDICO-ECONOMIC ANALYSIS OF THE TOLEDO TRIAL." Annals of the Rheumatic Diseases 82, Suppl 1 (2023): 174.2–175. http://dx.doi.org/10.1136/annrheumdis-2023-eular.4115.

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BackgroundBiologic Disease Modifying Anti-Rheumatic Drugs (bDMARDs) progressive tapering is a real opportunity in people living with rheumatoid arthritis (RA) having achieved remission both from the patient and the Society perspectives. The ToLEDo (Towards the Lowest Efficacious Dose) trial aimed to assess a disease activity-driven progressive tapering strategy of tocilizumab (TCZ) or abatacept (ABA) compared to their maintenance at full dose in RA patients in sustained remission. Non-inferiority (NI) was not demonstrated in terms of disease activity (primary endpoint) nor relapses, major rela
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Aleem, Ilyas, Yan Xu, Y. Raja Rampersaud, et al. "Canadian Spine Society1.01: Do lumbar decompression and fusion patients recall their preoperative status? Recall bias in patient-reported outcomes1.02: Trends and costs of lumbar fusion and disc replacement surgeries in Ontario: a population-based study1.03: Ontario’s Inter-professional Spine Assessment and Education Clinics (ISAEC): patient, provider and system impact of an integrated model of care for the management of LBP1.04: Validation of the self-administered online assessment of preferences (SOAP) utility elicitation tool1.05: Performance indicators in spine surgery: a systematic review1.06: Inter-professional Spine Assessment and Education Clinics (ISAEC): a networked model of care with changes to referral population profile and reduced surgical wait-times1.07: Improving spine surgical access, appropriateness and efficiency in metropolitan, urban and rural settings1.08: Reliability of the spine CPR score among emergency physicians1.09: Deriving a clinical prediction model for degenerative spine disorders1.10: Development of validated computer-based preoperative predictive model for reaching ODI MCID with 86% accuracy based on 198 ASD patients with 2-year follow-up1.11: Validation of the spine CPR score1.12: Can ultrasound detect curve progression of scoliosis without ionizing radiation?1.13: Relationship between age and nonoperative utilization in elective cervical spine surgery1.14: Larger global sagittal correction associated with increased PJK and major complications, but lead to better correction and HRQoL scores1.15: Comprehensive analysis of SRS appearance domain score drivers and comparative relationship to satisfaction in adults2.16: Incremental cost to Canada’s health care system of acute complications following spinal cord injury2.17: The prevalence and natural history of problematic spasticity following traumatic spinal cord injury2.18: Exploring the possibility of using artificial neural networks to predict mortality after spinal cord injury2.19: Developing a new index to predict mortality after spinal cord injury using machine learning techniques2.20: The impact of complications and opportunities to improve function, health and quality of life: our best approach to “cure” SCI today2.21: Delays in time from injury to specialized SCI centres increase in-hospital mortality in acute SCI2.22: The modified extremity motor (MEM) classification: A neurological classification of traumatic central cord syndrome (TCCS)2.23: The stable spine central cord syndrome (SCCS): a prospective surgical cohort2.24: Changes following acute traumatic spinal cord injury: a prospective pilot study on serial MRIs2.25: Next-generation MRI identifies tract-specific injury and predicts focal neurological deficits in degenerative cervical myelopathy: development and characterization of accurate imaging biomarkers for spinal cord pathologies2.26: Translating state-of-the-art spinal cord MRI techniques to clinical use: a systematic review of clinical studies using DTI, MT, MWF, MRS and fMRI2.27: Motor cortex electrical stimulation to promote spinal cord injury recovery in an animal model2.28: Role of muscle damage on loading at the level adjacent to a lumbar spine fusion: a biomechanical analysis2.29: Classifying injury severity and predicting neurologic outcome after acute human spinal cord injury with cerebrospinal fluid biomarkers2.30: Spine surgery a mari usque ad mare3.31: Prognostic factors for survival in a surgical series of symptomatic metastatic epidural spinal cord compression: a prospective North American multi-centre study in 142 patients3.32: Surgical management of spinal osteoblastomas3.33: General population utilities for metastatic epidural spinal cord compression health states3.34: Instrumentation following decompression for spinal metastases — Is there a need for fusion in addition to internal fixation?3.35: Do racial differences affect surgical outcomes in patients with degenerative cervical myelopathy? Results from the prospective, multicentre AOSpine International study on 479 patients3.36: Is preoperative duration of symptoms a significant predictor of functional status and quality of life outcomes in patients undergoing surgery for the treatment of degenerative cervical myelopathy?3.37: Surgery for degenerative cervical myelopathy from an economic and outcome perspective: a cost–utility analysis of the combined data from the AOSpine North America and International studies3.38: Laminoplasty versus laminectomy and fusion to treat cervical spondylotic myelopathy: outcomes of the prospective multicentre AOSpine North America and International CSM studies3.39: The impact of spinal manipulation on lower extremity motor control in lumbar spinal stenosis patients: a single-blind randomized clinical trial3.40: Predictors of improved pain, function and quality of life following elective lumbar spine fusion surgery3.41: Objective measurement of free-living physical activity (performance) in lumbar spinal stenosis: Are physical activity guidelines being met?3.42: Two-year follow-up in spine clinical research: An adequate benchmark?3.43: The impact of presurgical self-reported exercise patterns on postsurgical outcomes3.44: Baseline and postoperative outcomes in patients undergoing surgery for degenerative lumbar spondylo-listhesis: a comparison study between single-payer and multitier health care systems3.45: An exploration of the inter-relationships between low back pain, obesity, inflammation and diabetic statusP01: Methylprednisolone for the treatment of patients with acute spinal cord injuries: a systematic review and meta-analysisP02: The relationship between preoperative clinical presentation and quantitative MRI features in patients with degenerative cervical myelopathyP03: Change in function, pain and quality of life following structured nonoperative treatment in patients with degenerative cervical myelopathy: a systematic reviewP04: Tobacco smoking and outcomes following surgical decompression in patients with symptomatic degenerative cervical myelopathyP05: Predicting the minimum clinically important difference in patients undergoing surgery for the treatment of degenerative cervical myelopathyP06: Timing of decompression in patients with acute spinal cord injury: a systematic reviewP07: Defining the pathway to definitive care and surgical decompression after traumatic spinal cord injury: results of a Canadian population-based cohort studyP08: Assessment of surgical treatment strategies for moderate to severe cervical spinal deformity reveals marked variation in approaches, osteotomies and fusion levelsP09: Frailty and postoperative outcomes in patients undergoing surgery for degenerative spine diseaseP10: Does sarcopenia as assessed by the normalized total psoas area predict early outcomes in elderly patients undergoing elective surgery for degenerative spine disease?P11: The relationship between pre-existing comorbidities and postinjury adverse events in traumatic spinal cord injury: a prospective Canadian cohort study focusing on potentially modifiable conditionsP12: The incidence, severity and impact of adverse events in adult spinal deformity patients: an ambispective cohort analysisP13: Factors affecting length of stay following 3-column spinal osteotomies in paediatric patientsP14: The rate and risk of curve progression following skeletal maturity — Does the story end with curve magnitude?P15: Integration of a spine assessment clinic prior to surgical consult — a program descriptionP16: Improved data capture and quality following implementation of standard operating procedures for a single site in the Canadian Spine Outcomes and Research Network databaseP17: Survival and clinical outcomes in patients with meta-static epidural spinal cord compression: results from the AOSpine Prospective Multicentre Study of 142 patientsP18: The clinical utility of the spinal instability neoplastic score (SINS) and its role in surgical management of patients with spinal metastatic diseaseP19: Patterns of spinal metastatic disease and mechanical instability: a retrospective correlation with tumour histologyP20: A retrospective analysis of the clinical utility of the Tokuhashi scale, and its impact in surgical management of spinal metastatic diseaseP21: Length of hospital stay following elective lumbar spine fusion surgeryP22: Interspinous process device versus decompression and fusion: further investigation with 2 year follow-up in a degenerative lumbar spondylolisthesis patient populationP23: The outcomes following decompression and fusion are compromised when it is preceded by a discectomy or decompressionP24: Predictors of response following nonsurgical treatment of low back pain." Canadian Journal of Surgery 59, no. 3 Suppl 2 (2016): S39—S63. http://dx.doi.org/10.1503/cjs.006916.

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Benabbou, Nawal, and Patrice Perny. "Incremental Weight Elicitation for Multiobjective State Space Search." Proceedings of the AAAI Conference on Artificial Intelligence 29, no. 1 (2015). http://dx.doi.org/10.1609/aaai.v29i1.9362.

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This paper proposes incremental preference elicitation methods for multiobjective state space search. Our approach consists in integrating weight elicitation and search to determine, in a vector-valued state-space graph, a solution path that best fits the Decision Maker's preferences. We first assume that the objective weights are imprecisely known and propose a state space search procedure to determine the set of possibly optimal solutions. Then, we introduce incremental elicitation strategies during the search that use queries to progressively reduce the set of admissible weights until a nea
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Douthit, Jeremy, Patrick Martin, and Michelle McAllister. "Charitable Contribution Matching and Effort-Elicitation." Accounting Review, March 11, 2021. http://dx.doi.org/10.2308/tar-2018-0186.

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We examine the effect of a charitable contribution matching (CCM) program on employee effort. In CCM programs, employers commit to match employees' donations to charity. We expect CCM to activate a norm of other-regarding behavior, inducing employees to increase effort to benefit their employer. Experimental results robustly support our expectation. We find that CCM increases effort under both fixed-wage and performance-based incentive contracts. Further, our results suggest CCM is more effective at eliciting effort than alternative uses of firm capital. Specifically, CCM is more effective at
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Khannoussi, Arwa, Alexandru-Liviu Olteanu, Christophe Labreuche, and Patrick Meyer. "Simple ranking method using reference profiles: incremental elicitation of the preference parameters." 4OR, July 20, 2021. http://dx.doi.org/10.1007/s10288-021-00487-w.

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Yin, Bin, Xiaohong Chen, Wanyu Li, and Jinyue Tian. "An Incremental Software Automation Testing for Space Telemetry, Track and Command Software Systems Based on Domain Knowledge." Journal of Circuits, Systems and Computers, January 22, 2022. http://dx.doi.org/10.1142/s021812662250133x.

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As a core component of the Space Telemetry, Track and Command (TT&C) system, the TT&C software’s quality is the key factor to ensure the successful implementation of space TT&C missions. Due to the complexity of space TT&C missions, incremental development is adopted in which frequent testing is required. Many problems of the original manual testing are exposed, such as large consumption of human resources, low efficiency of testing and quality highly relying on human expertise. Automatic testing method is urgently required. However, the testing of the TT&C software highly
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Li, Zhuolin, Zhen Zhang, and Witold Pedrycz. "An incremental preference elicitation-based approach to learning potentially non-monotonic preferences in multi-criteria sorting." European Journal of Operational Research, December 2024. https://doi.org/10.1016/j.ejor.2024.11.047.

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Hitimana, Regis, Lars Lindholm, Ingrid Mogren, et al. "Incremental cost and health gains of the 2016 WHO antenatal care recommendations for Rwanda: results from expert elicitation." Health Research Policy and Systems 17, no. 1 (2019). http://dx.doi.org/10.1186/s12961-019-0439-9.

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Khannoussi, Arwa, Alexandru-Liviu Olteanu, Patrick Meyer, and Nawal Benabbou. "A regret-based query selection strategy for the incremental elicitation of the criteria weights in an SRMP model." Operational Research 24, no. 2 (2024). http://dx.doi.org/10.1007/s12351-024-00823-y.

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Mascaro, Steven, Yue Wu, Owen Woodberry, et al. "Modeling COVID-19 disease processes by remote elicitation of causal Bayesian networks from medical experts." BMC Medical Research Methodology 23, no. 1 (2023). http://dx.doi.org/10.1186/s12874-023-01856-1.

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Abstract Background COVID-19 is a new multi-organ disease causing considerable worldwide morbidity and mortality. While many recognized pathophysiological mechanisms are involved, their exact causal relationships remain opaque. Better understanding is needed for predicting their progression, targeting therapeutic approaches, and improving patient outcomes. While many mathematical causal models describe COVID-19 epidemiology, none have described its pathophysiology. Methods In early 2020, we began developing such causal models. The SARS-CoV-2 virus’s rapid and extensive spread made this particu
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33

Garg, Nikhil, Rohit Garg, Apoorv Anand, and Veeky Baths. "Decoding the neural signatures of valence and arousal from portable EEG headset." Frontiers in Human Neuroscience 16 (December 6, 2022). http://dx.doi.org/10.3389/fnhum.2022.1051463.

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Emotion classification using electroencephalography (EEG) data and machine learning techniques have been on the rise in the recent past. However, past studies use data from medical-grade EEG setups with long set-up times and environment constraints. This paper focuses on classifying emotions on the valence-arousal plane using various feature extraction, feature selection, and machine learning techniques. We evaluate different feature extraction and selection techniques and propose the optimal set of features and electrodes for emotion recognition. The images from the OASIS image dataset were u
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34

Tkalich, Anastasiia, Eriks Klotins, Tor Sporsem, Viktoria Stray, Nils Brede Moe, and Astri Barbala. "User feedback in continuous software engineering: revealing the state-of-practice." Empirical Software Engineering 30, no. 3 (2025). https://doi.org/10.1007/s10664-024-10557-2.

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Abstract Context Organizations opt for continuous delivery of incremental updates to deal with uncertainty and minimize waste. However, applying continuous engineering (CSE) practices requires a continuous feedback loop with input from customers and end-users. Challenges It becomes increasingly challenging to apply traditional requirements elicitation and validation techniques with ever-shrinking software delivery cycles. At the same time, frequent deliveries generate an abundance of usage data and telemetry informing engineering teams of end-user behavior. The literature describing how practi
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35

Luther, Kirk, Zak Keeping, Brent Snook, et al. "Nudging eyewitnesses: the effect of social influence on recalling witnessed events." Journal of Criminal Psychology, August 25, 2023. http://dx.doi.org/10.1108/jcp-06-2023-0042.

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Purpose The purpose of this study is to contribute to the literature on information elicitation. The authors investigated the impact of social influence strategies on eyewitness recall performance. Specifically, the authors examined the effect of social influence techniques (Cialdini, 2007) on recall performance (Experiment 1) and conducted a follow-up experiment to examine the incremental effect of social proof on the report everything cognitive interview mnemonic (Experiment 2). Design/methodology/approach Participants watched a video depicting vandalism (Experiment 1: N = 174) or a verbal a
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36

Squires, Hazel, Suzanne Mason, Colin O'Keeffe, Susan Croft, and George Millington. "What impact would reducing low-acuity attendance have on emergency department length of stay? A discrete event simulation modelling study." Emergency Medicine Journal, October 31, 2023, emermed-2023-213314. http://dx.doi.org/10.1136/emermed-2023-213314.

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BackgroundLong waiting times in the ED have been shown to cause negative outcomes for patients. This study aims to assess the effect in reducing length of stay of (1) preventing low-acuity attenders from attending the ED and (2) diverting low-acuity attenders at triage to a colocated general practice (GP) service.MethodsDiscrete event simulation was used to model a large urban teaching hospital in the UK, as a case study, with a colocated GP service. The Centre for Urgent and Emergency Care research database patient-level database (May 2015–April 2016), secondary literature and expert elicitat
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37

Yang, Liping, Rong Wang, Zexu Ma, et al. "Porcine Reproductive and Respiratory Syndrome Virus Antagonizes JAK/STAT3 Signaling via nsp5, Which Induces STAT3 Degradation." Journal of Virology 91, no. 3 (2016). http://dx.doi.org/10.1128/jvi.02087-16.

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ABSTRACT Signal transducer and activator of transcription 3 (STAT3) is a pleiotropic signaling mediator of many cytokines, including interleukin-6 (IL-6) and IL-10. STAT3 is known to play critical roles in cell growth, proliferation, differentiation, immunity and inflammatory responses. The objective of this study was to determine the effect of porcine reproductive and respiratory syndrome virus (PRRSV) infection on the STAT3 signaling since PRRSV induces a weak protective immune response in host animals. We report here that PRRSV infection of MARC-145 cells and primary porcine pulmonary alveo
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38

Siddiqui, Jamshaed, and Sally Bowditch. "Cost-Utility Analysis of Add-on Cannabidiol vs Usual Care Alone for the Treatment of Seizures in Patients With Treatment-Resistant Lennox-Gastaut Syndrome or Dravet Syndrome in the Netherlands." Journal of Health Economics and Outcomes Research, 2024, 168–79. https://doi.org/10.36469/jheor.2024.126071.

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Background: Lennox-Gastaut syndrome (LGS) and Dravet syndrome (DS) are severe, treatment-refractory, epileptic encephalopathies that often develop in infancy or early childhood. Since December 1, 2022, plant-derived highly purified cannabidiol (CBD) medicine (Epidyolex®; 100 mg/mL oral solution) has been reimbursed in the Netherlands for the adjunctive treatment of seizures associated with LGS or DS. Objective: To estimate the cost-effectiveness of CBD plus usual care vs usual care alone in patients with LGS or DS in the Netherlands. Methods: A cohort-based Markov model from a Dutch societal p
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39

Siddiqui, Jamshaed, and Sally Bowditch. "Cost-Utility Analysis of Add-on Cannabidiol vs Usual Care Alone for the Treatment of Seizures in Patients With Treatment-Resistant Lennox-Gastaut Syndrome or Dravet Syndrome in the Netherlands." Journal of Health Economics and Outcomes Research 11, no. 2 (2024). https://doi.org/10.36469/001c.126071.

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Background: Lennox-Gastaut syndrome (LGS) and Dravet syndrome (DS) are severe, treatment-refractory, epileptic encephalopathies that often develop in infancy or early childhood. Since December 1, 2022, plant-derived highly purified cannabidiol (CBD) medicine (Epidyolex®; 100 mg/mL oral solution) has been reimbursed in the Netherlands for the adjunctive treatment of seizures associated with LGS or DS. Objective: To estimate the cost-effectiveness of CBD plus usual care vs usual care alone in patients with LGS or DS in the Netherlands. Methods: A cohort-based Markov model from a Dutch societal p
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40

Yezegel, Ari. "The value of eliciting information: Evidence from sell-side analysts." Accounting Review, August 17, 2022. http://dx.doi.org/10.2308/tar-2020-0308.

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The ability to elicit information is a critical skill that many analysts and other information agents strive to master. This paper develops and validates a novel approach to measure analysts’ skill in eliciting information and studies its relation with analysts’ performance. The results suggest that analysts who are skilled in eliciting information issue more accurate forecasts and more informative stock recommendations. Further, skilled analysts’ recommendations are incrementally more informative for companies with more opaque information environments and with managers who may be delaying bad
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