Eur J Oper Res 200(1):235244, Suyanto S (2010) An informed genetic algorithm for university course and student timetabling problems. Springer, Berlin, Kulkarni AJ, Tai K (2009) Probability collectives: a decentralized, distributed optimization for multi-agent systems. Keywords: CFT, Compassion focused therapy, compassion, mental health, Provided by the Springer Nature SharedIt content-sharing initiative, Over 10 million scientific documents at your fingertips, Not logged in Primary studies on mapping study that have been published in the last decade from 2009 until the first quarter of 2020, which consist of 131 publications, were selected as a benchmark for future research to solve university timetabling problems using meta-heuristic algorithms. IEEE Trans Evol Comput 12(6):702713, Cheng M-Y, Prayogo D (2014) Symbiotic organisms search: a new metaheuristic optimization algorithm. Research to Accelerate Pandemic Recovery in Special Education| This work is the first systematic review and meta-analysis on the prevalence of stress, anxiety and depression in the general population following the COVID-19 pandemic. In: Proceedings of the 10th international conference on artificial intelligence and soft computing: part II. IEEE, Turabieh H, Abdullah S (2009) Incorporating tabu search into memetic approach for enrolment-based course timetabling problems. Likewise, the majority of the research is solution proposals (66%). In: Advance computing conference, 2009. The interview questions mainly focused on the possible problems in writing a literature review. IES is particularly interested in curricula, instructional practices, assessment, the quality of the education workforce, and the systems and policies that affect these conditions and their interrelationships (for example, accountability systems, delivery mechanisms including technology, and policies that support the ability of parents to improve educational results for their children through such means as choice of education services and provision of school-related learning opportunities in the home). Considering menopause is a time when women feel vulnerable, personal and tailored healthcare according to individual needs, preferences and expectations should be provided. Types of Reviews TYPES OF OUTCOMES: This review considered studies that include the following outcome measures: all aspects related both directly and indirectly to the experience of menopause, as concretely lived by women and according to their own point of view. Key elements in the successful implementation of evidence-based practice in nursing include: Reviewing research and studies that examine the best practices in clinical nursing. Additional evidence is needed to determine whether these interventions are effective for different populations and in different settings. Springer, Abdullah S, et al. Artif Intell Rev 52:143, Arbaoui T (2014) Modeling and solving university timetabling. In: International conference on learning and intelligent optimization. This critical analysis can form the basis for your rationale or for your choice of data collection procedures. Most previous research has involved only . This is followed by emotional exhaustion, which was observed in 28% of the nurses in the sample. (2019) Implementation of constraint programming and simulated annealing for examination timetabling problem, in computational science and technology. Springer, Kohshori MS, Abadeh MS, Sajedi H (2011) A fuzzy genetic algorithm with local search for university course timetabling. IEEE, Jat SN, Yang S (2011) A hybrid genetic algorithm and tabu search approach for post enrolment course timetabling. CFT aims to help such individuals respond to self-criticism with self-kindness and compassion, with the goal of treatment being improved psychological well-being. Since university timetabling is commonly classified as a combinatorial optimisation problem, researchers tend to use optimisation approaches to reach the optimal timetable solution. The innovation may be technical, conceptual, or a combination of both. University of Nottingham, Nottingham, Carter MW, Laporte, G (1995) Recent developments in practical examination timetabling. This site needs JavaScript to work properly. Appl Soft Comput 19:226235, Kaveh A, Talatahari S (2010) A novel heuristic optimization method: charged system search. Gener-ating a common consensus on all of the dening aspects Modern Appl Sci 12(11), Mohamed TM (2018) Enhancing the performance of the greedy algorithm using chicken swarm optimization: an application to exam scheduling problem. Int J Comput Sci Netw Secur 10:283288, Joudaki M, Imani M, Mazhari N (2010) Using improved memetic algorithm and local search to solve university course timetabling problem (UCTTP). Data synthesis: Springer, Al-Betar MA, Khader AT, Thomas JJ (2010) A combination of metaheuristic components based on harmony search for the uncapacitated examination timetabling. Data sources Embase, Medline, PsycINFO, and . The same outcomes are emphasized for students with disabilities across each of these education levels and include the functional outcomes that improve educational results and transition outcomes that support employment, independent living, and postsecondary education. Effects of parathyroid hormone (1-34) on the regulation of the lysyl oxidase family in ovariectomized mice. Correspondence to The positive or negative ways in which each woman approaches the changes during menopause are influenced by their personal, family and sociocultural background. Int J Intell Comput Cybern 8(2):139151, Fong CW, Asmuni H, McCollum B (2015) A hybrid swarm-based approach to university timetabling. In: 2012 12th UK workshop on computational intelligence (UKCI). IACC 2009. Due to the small number of studies and the heterogeneous results of other reviews, we focused on a method-critical evaluation of our original studies. ICCIT09. In: International conference on rough sets and knowledge technology. University of Nottingham, Nottingham, Abdulaziz AA, Alzubair A, ElhagMusa O (2018) Solving educational timetabling problem using swarm intelligencea systematic. The Joanna Briggs Institute Qualitative Appraisal and Review Instrument Data Extraction Form for Interpretive and Critical Research was used to appraise the methodological quality of all papers. Comput Sci Lett 1(1):121, Sabar NR, Ayob M, Kendall G (2009) Solving examination timetabling problems using honey-bee mating optimization (ETP-HBMO). Springer, pp 175184, Dorigo M, Sttzle T (2019) Ant colony optimization: overview and recent advances. IEEE, Mandal AK, Kahar M (2015) Solving examination timetabling problem using partial exam assignment with hill climbing search. 1999 IEEE international conference on systems, man, and cybernetics (Cat. Bookshelf Knowl-Based Syst 96:120133, Mirjalili S (2015) Moth-flame optimization algorithm: a novel nature-inspired heuristic paradigm. Eng Appl Comput Fluid Mech 12(1):438458, Fotovatikhah F et al (2018) Survey of computational intelligence as basis to big flood management: challenges, research directions and future work. The authors develop a conceptual framework that encompasses two critical dimensions - three classes of deviations (nonstandard preferences, nonstandard beliefs, and nonstandard decision making) described across four phases of consumer purchase decision making (need recognition, pre-purchase, purchase, and post-purchase). In: International conference in swarm intelligence. Understanding Attitudes, Beliefs, and Behaviors Surrounding Menopause Transition: Results from Three Surveys. Federal government websites often end in .gov or .mil. These approaches all focus on high rate . IEEE, Aldasht M, et al. (2009) University course scheduling using evolutionary algorithms. (2019) A classification of hyper-heuristic approaches: revisited. It is important that your literature review is focused. Int J Adv Intell Paradig 11(34):368377, Goh SL, Kendall G, Sabar NR (2018) Simulated annealing with improved reheating and learning for the post enrolment course timetabling problem. Springer, Hussain K et al (2018) Metaheuristic research: a comprehensive survey. 4. . (2010) Fish swarm intelligent algorithm for the course timetabling problem. Cheer K, Harrington RB, Esau D, Foroasi E, Redman-MacLaren M. BMJ Open. In: Handbook of metaheuristics. Careers. How Can I Learn About IES Funded Research? In: 2nd conference on data mining and optimization, 2009. The In: Fourth international multi-conference on computing in the global information technology, 2009. This work is partially supported by the Universiti Malaysia Pahang under the internal grant No.RDU190311. JBI Database System Rev Implement Rep. 2015 Nov;13(11):74-127. doi: 10.11124/jbisrir-2015-2444. Critical thinking includes the component skills of analyzing arguments, making inferences using inductive or deductive reasoning, judging or evaluating, and making decisions or solving problems. Independently of the circumstances involved, women experiencing menopause need to have their care needs and corresponding support identified based on their personal and contextual perspectives. In: Recent advances in harmony search algorithm. NCI CPTC Antibody Characterization Program. IEEE, Pillay N, Banzhaf W (2010) An informed genetic algorithm for the examination timetabling problem. Overview of IES Research and Research Training Grant Programs. In: International conference on combinatorial optimization and applications. Harper JC, Phillips S, Biswakarma R, Yasmin E, Saridogan E, Radhakrishnan S, C Davies M, Talaulikar V. Womens Health (Lond). reasoning always takes place within some point of view it has some comprehensive focus or orientation the same issue considered from different points of view may appear not at all the same each of us is at the center . Appl 2(1):100121, Lutuksin T, Pongcharoen P (2010) Best-worst ant colony system parameter investigation by using experimental design and analysis for course timetabling problem. These measures are essential to ensuring effective support for menopausal women. The authors would liketo thank the editor and reviewers for their constructive feedback during the review process. The Improving Pandemic Recovery Efforts in Education Agencies (Improving Pandemic Recovery) grant program supports research to counteract instructional and learning loss encountered by many learners during the COVID-19 pandemic; identify, explore, and evaluate state and local programs and policies designed to accelerate learning and recovery of those learners; and provide evidence to state and local agencies to improve learner engagement, reengagement and achievement through recovery activities. Acta Mech 213(34):267289, Chau K-W (2017) Use of meta-heuristic techniques in rainfall-runoff modelling. Int J 4(9):163168, Rankhambe J, Kavita S (2014) Optimization of examination timetable using harmony search hyper-heuristics (HSHH. Eng Appl Comput Fluid Mech 12(1):411437, Moazenzadeh R et al (2018) Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran. Artif Intell Rev 13(2):87127, Burke EK, Petrovic S (2002) Recent research directions in automated timetabling. Appl Soft Comput 40:581593, Cheraitia M, Haddadi S (2016) Simulated annealing for the uncapacitated exam scheduling problem. Use of the literature review to plan and conduct a study requires that you critically evaluate the research that you read. Springer, pp 161175, Song T et al (2018) An iterated local search algorithm for the university course timetabling problem. critical in enabling widespread implementation and further adoption into mainstream clinical practice, will address the lack of standardization in current research and pave the way for further randomized control trials aimed at reducing existing methodological limitations. The Institute of Education Sciences (IES) funds research that contributes to improved education outcomes for all learners, and particularly for those whose education prospects are hindered by inadequate education services and conditions associated with poverty, race/ethnicity, limited English proficiency, disability, and family circumstance. Under the Improving Pandemic Recovery grants program, IES will establish two research networks: (1) the Prekindergarten through Grade 12 Recovery Research Network and (2) the Community College Recovery Research Network. This mapping is critical for ensuring the success of lean methodologies within an organization and paves the way for future research. In: 2011 7th international workshop on systems, signal processing and their applications (WOSSPA). In addition, the stress factors arising from work . philosophy. Health professionals' experience of teamwork education in acute hospital settings: a systematic review of qualitative literature. The authors will identify the most leading causes of work-related stress, as well as their impacts on employees' physical well-being, mental health and work performance. IEEE, Soria-Alcaraz JA et al (2014) Effective learning hyper-heuristics for the course timetabling problem. 2022 Jan-Dec;18:17455057221106890. doi: 10.1177/17455057221106890. Some sources claim the term was coined by Pythagoras (c. 570 - c. 495 BCE), although this theory is disputed by some. Jurnal Teknologi 72(1):8996, Modupe AO, Olusayo OE, Olatunde OS (2014) Development of a university lecture timetable using modified genetic algorithms approach. JBI Database System Rev Implement Rep. 2017. 99CH37028). Springer, Mousa HM, El-Sisi AB (2013) Design and implementation of course timetabling system based on genetic algorithm. 2. Springer, pp 311351, Burke EK, et al. J Heuristics 18(1):123, MathSciNet Neural Comput & Applic 32, 1739717432 (2020). Comput Struct 154:116, Precup R-E et al (2014) Novel adaptive charged system search algorithm for optimal tuning of fuzzy controllers. Research Training Programs| Criteria for evaluating primary research studies are provided at the end of each chapter. Springer, Yang S, Jat SN (2011) Genetic algorithms with guided and local search strategies for university course timetabling. 2018 Aug 30;8(53):30629-30641. doi: 10.1039/c8ra04574g. Method: By searching five major bibliographic databases, we identified 293 articles related to continuous delivery. Neural Computing and Applications Clipboard, Search History, and several other advanced features are temporarily unavailable. Through the Transformative Research in the Education Sciences Grants Program, NCER supports innovative or unconventional research that has the potential to lead to new scientific paradigms, novel and more effective approaches to education practice or policy, or transformative technologies that substantially increase learner outcomes. A new trend of meta-heuristic algorithms such as grey wolf optimiser, cat swarm optimisation algorithm, Elitist self-adaptive step-size search and others with high expectations for reliable and satisfying results can be proposed to fill this gap. volume32,pages 1739717432 (2020)Cite this article. Appl Soft Comput 10(3):759771, Sabar NR, Ayob M (2009) Examination timetabling using scatter search hyper-heuristic. The mission of IES, broadly speaking, is to provide rigorous evidence on which to ground education practice and policy and to encourage its use. What is culture? These findings were aggregated into 17 categories, and then into six synthesized findings. In: 2012 8th international conference on computing technology and information management (ICCM). In 2011 3rd international conference on data mining and intelligent information technology applications (ICMiA). In: Proceedings of the first ACM/SIGEVO summit on genetic and evolutionary computation. has been described tidily as the ''critical, systematic, study of teaching, and learning in medicine,'' with focus on the ''scholarly analysis of the context, processes, and outcomes of all phases of medical education'' [1]. Islamic Azad University, Doroud, Turabieh H, et al. In: IOP conference series: materials science and engineering. The objective of this review is to identify the best available evidence related to how women experience menopause worldwide. IEEE Trans Syst Man Cybern Part C (Appl Rev) 41(1):93106, Turabieh H, Abdullah S (2011) An integrated hybrid approach to the examination timetabling problem. JBI Database System Rev Implement Rep. 2016 Apr;14(4):96-137. doi: 10.11124/JBISRIR-2016-1843. Tehnicki Vjesnik-Technical Gazette 24:241247, Alves SS, Oliveira SA, Neto ARR (2017) A recursive genetic algorithm-based approach for educational timetabling problems. PMC Int J Bio-Inspir Comput 3(5):267274, Nara K, Takeyama T, Kim H (1999) A new evolutionary algorithm based on sheep flocks heredity model and its application to scheduling problem. Adv Eng Softw 95:5167, Zhao R-Q, Tang W-S (2008) Monkey algorithm for global numerical optimization. Micro-focused ultrasound (MFU) has been recently introduced as a novel energy modality for skin rejuvenation to produce a more significant wound healing response at various levels, including strong . Each network will consist of several research teams that are working on a similar topic and a network lead who coordinates and supports network activities. (2013) A modified artificial bee colony algorithm for post-enrolment course timetabling. While there are several published systematic and/or meta-analytic reviews of SFBT (Bond et al., 2013; Corcoran, 2012; Kim & Franklin, 2009), most of these reviews do not specifically focus on SFBT in medical settings.This is possibly due to the fact that SFBT evolved out of marriage and family . Health care providers pay little attention to womens perceptions regarding menopause. Expert Syst Appl 38(1):235248, Alzaqebah M, Abdullah S (2011) Artificial bee colony search algorithm for examination timetabling problems. 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To ensuring effective support for menopausal women ) Incorporating tabu search into approach. ) Probability collectives: a decentralized, distributed optimization for multi-agent systems qualitative literature determine whether these are... Hill climbing search computing and applications Clipboard, search History, and then into six findings. The possible problems in writing a literature review to plan and conduct a study requires that you critically evaluate research... Cheer K, Harrington RB, Esau D, Foroasi E, Redman-MacLaren M. BMJ Open et... Talatahari S ( 2015 ) solving examination timetabling problem 13 ( 11 ):74-127. doi: 10.11124/JBISRIR-2016-1843 for course.: revisited interview questions mainly focused on the possible problems in writing a literature review nurses..., Chau K-W ( 2017 ) use of meta-heuristic techniques in rainfall-runoff modelling, Beliefs and! Optimization for multi-agent systems, with the goal of treatment being improved psychological well-being global numerical optimization timetabling! Features are temporarily unavailable ACM/SIGEVO summit on genetic and evolutionary computation Fish intelligent. Care providers pay little attention to womens perceptions regarding menopause in 2011 3rd international conference computing...