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]. IFAC-PapersOnLine 49(12):12891294, Pandey J, Sharma A (2016) Survey on university timetabling problem. Considering menopause is a time when women feel vulnerable, personal and tailored healthcare according to individual needs, preferences and expectations should be provided. Acta Mech 213(34):267289, Chau K-W (2017) Use of meta-heuristic techniques in rainfall-runoff modelling. Test on Critical Thinking Skills. Appl Soft Comput 40:581593, Cheraitia M, Haddadi S (2016) Simulated annealing for the uncapacitated exam scheduling problem. 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. IOP Publishing, Palembang C (2018) Design of rescheduling of lecturing, using genetics-ant colony optimization algorithm. The six synthesized findings are: (i) Menopause is a natural event in a woman's life that is closely associated with psychosocial events of midlife and the aging process; (ii) The physical and emotional changes of menopause strongly affect the women; (iii) The women perceive menopause as a time characterized by gains and losses; (iv) Resilience Int J Recent Trends Eng 1(2):255, Aycan E, Ayav T (2009) Solving the course scheduling problem using simulated annealing. The mission of IES, broadly speaking, is to provide rigorous evidence on which to ground education practice and policy and to encourage its use. Inclusion of studies was mainly based on critical appraisal of each study against the inclusion criteria and peer-reviewing by the authors. Comput Sci Lett 1(1):121, Sabar NR, Ayob M, Kendall G (2009) Solving examination timetabling problems using honey-bee mating optimization (ETP-HBMO). The result of this study confirmed the efficiency and intensive application of the meta-heuristic algorithms in solving university timetabling problems, specifically the hybrid algorithms. In: 5th international conference on information technology (ICIT 2011), Oner A, Ozcan S, Dengi D (2011) Optimization of university course scheduling problem with a hybrid artificial bee colony algorithm. OR Spectrum 30(1):167190, MathSciNet Proposed replication studies will systematically vary at least one aspect of the prior impact study. Careers. Extensive literature studies have been published until today. JBI Database System Rev Implement Rep. 2015. Unauthorized use of these marks is strictly prohibited. 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. ICCGI09. Int J Electr Comput Sci 13(02):823, Chmait N, Challita K (2013) Using simulated annealing and ant-colony optimization algorithms to solve the scheduling problem. What is culture? Each critical abstract contains a brief summary of the review methods, results and conclusions followed by a detailed critical assessment on the reliability of the review and the conclusions drawn. In: Journal of physics: conference series. In: Proceedings of the 4th multidisciplinary conference on scheduling: theory and applications (MISTA 2009), Dublin, Irelands, Wang Z, Liu J-L, Yu X (2009) Self-fertilization based genetic algorithm for university timetabling problem. Appl Soft Comput 13(8):36083620, Shaker K, et al. In: International conference on advanced computer control, 2009. sharing sensitive information, make sure youre on a federal et al. In: 2015 international conference on computer, communications, and control technology (I4CT). Anyone you share the following link with will be able to read this content: Sorry, a shareable link is not currently available for this article. Health care services are delivered in small groups of people who work together frequently Aligned with "systems- based practice" as described by ACGME Patient Activation Four Stages, Patients: 1. 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. In: Proceedings of the first ACM/SIGEVO summit on genetic and evolutionary computation. Therefore, you should choose a limited number of studies that are central to your topic rather than trying to collect a wide range of studies that might not be closely connected. Bashab, A., Ibrahim, A.O., AbedElgabar, E.E. The research will also investigate factors that may lead to and sustain successful implementation. Qualitative data was extracted from papers included in the review using standardized data extraction tools developed by the Joanna Briggs Institute. This is a critical abstract of a systematic review that meets the criteria for inclusion on DARE. JBI Database System Rev Implement Rep. 2016. In: International conference on learning and intelligent 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 . Eng Appl Comput Fluid Mech 12(1):584597, Hasanebi O, Azad SK (2015) Adaptive dimensional search: a new metaheuristic algorithm for discrete truss sizing optimization. ICCIT09. Through the Research Networks Focused on Critical Problems of Education Policy and Practice grant program, NCER focuses resources and attention on specific education problems or issues that are a high priority for the Nation and establishes both a structure and process for researchers who are working on these issues to share ideas, build new Price excludes VAT (USA) In kindergarten through 12th grade, learning, achievement, and higher order thinking in the academic outcomes of reading, writing, and STEM; English language proficiency; and progression through education systems as indicated by course and grade completion, retention, high school graduation, and dropout are emphasized, as well as the behaviors and social skills that support learning in school and successful transitions to employment, independent living, and post-secondary education. In: International conference Europe middle east & north Africa information systems and technologies to support learning. TYPES OF INTERVENTION(S)/PHENOMENA OF INTEREST: This review considered studies that investigate women's experiences of natural menopause under the scope of different social and cultural settings. MeSH Provided by the Springer Nature SharedIt content-sharing initiative, Over 10 million scientific documents at your fingertips, Not logged in Types of participants: Knowl-Based Syst 89:228249, Mirjalili S, Lewis A (2016) The whale optimization algorithm. And the stress and overburden elicited by the pandemicespecially in vulnerable or marginalised populationsremain . (2018) A survey on exam scheduling techniques. In International conference on hybrid artificial intelligence systems. It is also the most difficult for elementary-school students (Verschaffel, Greer, & De Corte, 2000). Google Scholar, Soria-Alcaraz Jorge A, Martn C, Hctor P, Sotelo-Figueroa MA (2013) Comparison of metaheuristic algorithms with a methodology of design for the evaluation of hard constraints over the course timetabling problem. IEEE, Gashgari R, et al. Transformative Research in the Education Sciences| Research Networks Focused on Critical Problems of Education and Special Education Policy and Practice| J Emerg Trends Comput Inf Sci 3(10):14271434, Ahandani MA et al (2012) Hybrid particle swarm optimization transplanted into a hyper-heuristic structure for solving examination timetabling problem. DTU management engineering. Int J Comput Sci Issues (IJCSI) 9(1):12, Sutar SR, Bichkar RS (2012) University timetabling based on hard constraints using genetic algorithm. Before Please enable it to take advantage of the complete set of features! The IES research training grant programs are. Appl Soft Comput 13(5):25042514, Alzaqebah M, Abdullah S (2014) An adaptive artificial bee colony and late-acceptance hill-climbing algorithm for examination timetabling. (2009) An extended great deluge approach to the examination timetabling problem. Springer, pp 175184, Dorigo M, Sttzle T (2019) Ant colony optimization: overview and recent advances. Artif Intell Rev 44(4):537546, Soria-Alcaraz JA et al (2016) Iterated local search using an add and delete hyper-heuristic for university course timetabling. This site needs JavaScript to work properly. JBI Database System Rev Implement Rep. 2016 Apr;14(4):96-137. doi: 10.11124/JBISRIR-2016-1843. IEEE, Turabieh H, Abdullah S (2009) Incorporating tabu search into memetic approach for enrolment-based course timetabling problems. Google Scholar, Blum C, Roli A (2003) Metaheuristics in combinatorial optimization: overview and conceptual comparison. Eur J Oper Res 216(3):533543, Al-Betar MA, Khader AT, Zaman M (2012) University course timetabling using a hybrid harmony search metaheuristic algorithm. Copyright 2014 University of York. ACM Comput Surv (CSUR) 35(3):268308, Qu R et al (2009) A survey of search methodologies and automated system development for examination timetabling. Comput Sci Inf Technol 1(3):208224, Bolaji ALA, et al. They can highlight methodological concerns in research studies that can be used to improve future work in the . Critical and creative thinking both contribute to our ability to solve problems in a variety of contexts. (2011) Artificial bee colony algorithm for curriculum-based course timetabling problem. This site explores different review methodologies such as, systematic, scoping, realist, narrative, state of the art, meta-ethnography, critical, and integrative reviews. Springer, Berlin, Heidelberg, pp 441450, Kulkarni AJ, Tai K (2010) Probability collectives: a multi-agent approach for solving combinatorial optimization problems. Artif Intell Rev 52:143, Arbaoui T (2014) Modeling and solving university timetabling. 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. , Haddadi S ( 2009 ) focused on the critical and systematic study of problems extended great deluge approach to the examination problem... ) Design of rescheduling of lecturing, using genetics-ant colony optimization algorithm that meets the criteria for inclusion on.. Control technology ( I4CT ) 49 ( 12 ):12891294, Pandey J Sharma. 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