Hao Li, Jun Tang^*, Qingtao Pan, Jianjun Zhan, Songyang Lao

CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 2835-2859, 2023, DOI:10.32604/cmc.2023.038670

Abstract No optimization algorithm can obtain satisfactory results in all optimization tasks. Thus, it is an effective way to deal with the problem by an ensemble of multiple algorithms. This paper proposes an ensemble of population-based metaheuristics (EPM) to solve single-objective optimization problems. The design of the EPM framework includes three stages: the initial stage, the update stage, and the final stage. The framework applies the transformation of the real and virtual population to balance the problem of exploration and exploitation at the population level and uses an elite strategy to communicate among virtual populations. The experiment tested two benchmark function… More >

Eszter Vojcek^1,2,*, V. Anna Gyarmathy^3,4, Rozsa Graf⁵, Anna M. Laszlo⁶, Laszlo Ablonczy⁷, Zsolt Prodan⁷, Istvan Seri^1,8

Congenital Heart Disease, Vol.17, No.4, pp. 447-461, 2022, DOI:10.32604/chd.2022.022274

Abstract Objective: Neonates with congenital heart disease (CHD) and perinatal stroke have high mortality and survivors are at risk for poor long-term neurodevelopmental outcome. The aim of this study was to assess the risk factors and outcome of neonates with both CHD and MRI-confirmed perinatal stroke (Study Group) and compare those to the risk factors and outcome of infants matched for CHD without stroke (Control-1) and of infants matched for MRI-confirmed stroke without CHD (Control-2). Methods: We conducted a population-based case-control study enrolling 28 term neonates with CHD and MRI-confirmed acute perinatal stroke born between 2007–2017 in the Central-Hungarian Region. Each… More > Graphic Abstract

Fatemeh Ahmadi Zeidabadi¹, Mohammad Dehghani², Pavel Trojovský^2,*, Štěpán Hubálovský³, Victor Leiva⁴, Gaurav Dhiman⁵

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 399-416, 2022, DOI:10.32604/cmc.2022.024736

Abstract Finding a suitable solution to an optimization problem designed in science is a major challenge. Therefore, these must be addressed utilizing proper approaches. Based on a random search space, optimization algorithms can find acceptable solutions to problems. Archery Algorithm (AA) is a new stochastic approach for addressing optimization problems that is discussed in this study. The fundamental idea of developing the suggested AA is to imitate the archer's shooting behavior toward the target panel. The proposed algorithm updates the location of each member of the population in each dimension of the search space by a member randomly marked by the… More >

Fatemeh Ahmadi Zeidabadi¹, Ali Dehghani², Mohammad Dehghani³, Zeinab Montazeri⁴, Štěpán Hubálovský⁵, Pavel Trojovský^3,*, Gaurav Dhiman⁶

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 4237-4256, 2022, DOI:10.32604/cmc.2022.023682

Abstract Finding the suitable solution to optimization problems is a fundamental challenge in various sciences. Optimization algorithms are one of the effective stochastic methods in solving optimization problems. In this paper, a new stochastic optimization algorithm called Search Step Adjustment Based Algorithm (SSABA) is presented to provide quasi-optimal solutions to various optimization problems. In the initial iterations of the algorithm, the step index is set to the highest value for a comprehensive search of the search space. Then, with increasing repetitions in order to focus the search of the algorithm in achieving the optimal solution closer to the global optimal, the… More >

Fatemeh Ahmadi Zeidabadi¹, Sajjad Amiri Doumari¹, Mohammad Dehghani², Zeinab Montazeri², Pavel Trojovský^3,*, Gaurav Dhiman⁴

CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 2905-2921, 2022, DOI:10.32604/cmc.2022.019867

Abstract There are many optimization problems in different branches of science that should be solved using an appropriate methodology. Population-based optimization algorithms are one of the most efficient approaches to solve this type of problems. In this paper, a new optimization algorithm called All Members-Based Optimizer (AMBO) is introduced to solve various optimization problems. The main idea in designing the proposed AMBO algorithm is to use more information from the population members of the algorithm instead of just a few specific members (such as best member and worst member) to update the population matrix. Therefore, in AMBO, any member of the… More >

Maryanne Caruana¹, Victor Grech²

Congenital Heart Disease, Vol.12, No.5, pp. 588-595, 2017, DOI: 10.1111/chd.12488

Abstract Objectives: To investigate survival and freedom from reintervention after aortic coarctation repair in Maltese patients and to compare cardiovascular mortality in coarctation repair survivors with that in the general population.
Design: All 72 aortic coarctation patients with any type of repair, born by end-1997 and logged in the local database were included. Trends in timing and type of repair were determined by comparing patients born before and after 1985. Kaplan-Meier analyses of survival and reintervention-free survival were performed on the 59 repair survivors with complete follow-up data (mean follow-up 26.13 ± 9.62 (range 1.05–44.55 years). Cardiovascular mortality in repair survivors… More >

Maryanne Caruana¹, Victor Grech²

Congenital Heart Disease, Vol.12, No.3, pp. 301-308, 2017, DOI:10.1111/chd.12439

Abstract Objectives: To determine overall and reintervention-free survival for repaired Maltese tetralogy of Fallot patients and to investigate the potential impact of gender, age at repair, genetic syndromes, previous palliation, and type of repair on these outcomes.
Design: All 130 tetralogy of Fallot patients born before the end of 1997 included in the local database were extracted. Surgical repair type, age at repair and operative survival were analyzed among the 103/130 repaired patients. Kaplan–Meier survival analyses were performed on the 75 repair survivors with complete follow-up data (mean follow-up 26.37 ± 9.27 (range 9.95–51.21) years).
Results: Patients born after 1985 were… More >

Jae Hyun Kim¹, Tae Hyun Kim^2,3,*

International Journal of Mental Health Promotion, Vol.22, No.1, pp. 1-9, 2020, DOI:10.32604/IJMHP.2020.010995

Abstract This study investigates whether restricted participation in productive activity is associated with cognitive health in Korea. Furthermore, given the enormous socioeconomic disparities between aging and gender differences in employment, we also examine whether these associations vary by gender and age. Data from the Korean Longitudinal Study of Ageing (KLoSA) from 2006 to 2016 was used and 9,942 subjects were included at baseline in 2006. To analyze the association between restricted economic activity due to health condition and cognitive function, generalized estimating equation (GEE) model and chi-square test were used. Of the 9,942 individuals at baseline in 2006, the odds ratio… More >

Diego A. Lara¹, Mary K. Ethen², Mark A. Canfield², Wendy N. Nembhard³, Shaine A. Morris¹

Congenital Heart Disease, Vol.12, No.1, pp. 105-112, 2017

Abstract Background: Hypoplastic left heart syndrome (HLHS) is strongly associated with Turner syndrome (TS); outcome data when these conditions coexist is sparse. We aimed to investigate long-term survival and causes of death in this population.
Methods: The Texas Birth Defects Registry was queried for all live born infants with HLHS during 1999–2007. We used Kaplan–Meier and Cox regression analyses to compare survival among patients with HLHS with TS (HLHS/TS＋) to patients who had HLHS without genetic disorders or extracardiac birth defects (HLHS/TS–).
Results: Of the 542 patients with HLHS, 11 had TS (2.0%), 71 had other extracardiac birth defects or genetic… More >