Nature-inspired optimization algorithms can solve different engineering and scientific problems owing to their easiness and flexibility. There is no need for structural modifications of optimization ...problems to apply meta-heuristic algorithms on them. Recently, meta-heuristic algorithms are becoming powerful methods for solving NP problems. In this paper, the authors propose a novel meta-heuristic algorithm suitable for continuous nonlinear optimization problems. The proposed method, Black Widow Optimization Algorithm (BWO), is inspired by the unique mating behavior of black widow spiders. This method includes an exclusive stage, namely, cannibalism. Due to this stage, species with inappropriate fitness are omitted from the circle, thus leading to early convergence. BWO algorithm is evaluated on 51 various benchmark functions to verify its efficiency in obtaining the optimal solutions for the problems. The obtained results indicate that the proposed algorithm has numerous advantages in different aspects such as early convergence and achieving optimized fitness value compared to other algorithms. Also, it has the capability of providing competitive and promising results. The research also solves three different challenging engineering design problems adopting BWO algorithm. The outcomes of the real case study problems prove the effectiveness of the proposed algorithm in solving real-world issues with unknown and challenging spaces.
•A novel bio-inspired Black Widow Optimization (BWO) Algorithm is proposed.•BWO is inspired by the bizarre mating behavior of black widow spiders.•BWO is compared with GA, PSO, ABC and BBO using 51 different benchmark functions.•BWO converges to the optimal value as quickly as possible.•BWO outperforms the other experimental algorithms in majority of test functions.
Health in early life is crucial for health later in life. Exposure to air pollution during embryonic and early-life development can result in placental epigenetic modification and foetus ...reprogramming, which can influence disease susceptibility in later life. Objectives: The aim of this paper was to investigate the placental adaptation in the level of global DNA methylation and differential gene expression in the methylation cycle in new-borns exposed to high fine particulate matter in the foetal stage.
This is a nested case-control study. We enrolled pregnant healthy women attending prenatal care clinics in Tehran, Iran, who were residents of selected polluted and unpolluted regions, before the 14th week of pregnancy. We calculated the regional background levels of particle mass- particles with aerodynamics diameter smaller than 2.5 μm (PM2.5) and 10 μm (PM10)-of two regions of interest. At the time of delivery, placental tissue was taken for gene expression and DNA methylation analyses. We also recorded birth outcomes (the new-born's sex, birth date, birth weight and length, head and chest circumference, gestational age, Apgar score, and level of neonatal care required).
As regards PM2.5 and PM10 concentrations in different time windows of pregnancy, there were significantly independent positive correlations between PM10 and PM2.5 in the first trimester of all subjects and placental global DNA methylation levels (p-value = 0.01, p-value = 0.03, respectively). The gene expression analysis showed there was significant correlation between S-adenosylmethionine expression and PM2.5 (p = 0.003) and PM10 levels in the first trimester (p = 0.03).
Our data showed prenatal exposures to air pollutants in the first trimester could influence placental adaptation by DNA methylation.
Objective
To report the levels and trends of prevalence, deaths, and disability‐adjusted life years (DALYs) due to musculoskeletal disorders, categorized as low back pain, neck pain, osteoarthritis ...(OA), rheumatoid arthritis (RA), gout, and other musculoskeletal disorders, across 195 countries and territories from 1990 to 2017 according to age, sex, and Sociodemographic Index (SDI; a composite of sociodemographic factors).
Methods
Data were obtained from the Global Burden of Disease (GBD) Study 2017. The fatal and nonfatal burdens of musculoskeletal disorders were estimated using the Cause of Death Ensemble model and Bayesian meta‐regression tool, respectively. Estimates were provided for all musculoskeletal disorders and the corresponding 6 categories at global, regional, and national levels from 1990 to 2017. Counts and age‐standardized rates per 100,000 population along with 95% uncertainty intervals (95% UIs) were reported for prevalence, deaths, and DALYs.
Results
Globally, there were ~1.3 billion prevalent cases (95% UI 1.2 billion, 1.4 billion), 121.3 thousand deaths (95% UI 105.6 thousand, 126.2 thousand), and 138.7 million DALYs (95% UI 101.9 million, 182.6 million) due to musculoskeletal disorders in 2017. Age‐standardized prevalence, death, and DALY rates per 100,000 population were 16,276.2 (95% UI 15,495.5, 17,145.8), 1.6 (95% UI 1.4, 1.6), and 1,720 (95% UI 1,264.4, 2,259.2), respectively. Age‐standardized prevalence (−1.6% 95% UI −2.4, −0.8) and DALY rates (−3.5% 95% UI −4.7, −2.3) decreased slightly from 1990. The global point prevalence rate of musculoskeletal disorders in 2017 was higher in women than in men and increased with age up to the oldest age group. Globally, the proportion of prevalent cases according to category of musculoskeletal disorders in 2017 was greatest for low back pain (36.8%), followed by other musculoskeletal disorders (21.5%), OA (19.3%), neck pain (18.4%), gout (2.6%), and RA (1.3%). These proportions did not change appreciably compared with 1990. The burden due to musculoskeletal conditions was higher in developed countries. The countries with the highest age‐standardized prevalence rates of musculoskeletal disorders in 2017 were Switzerland (23,346.0 95% UI 22,392.6, 24,329.8), Chile (23,007.9 95% UI 21,746.5, 24,165.8), and Denmark (22,166.1 95% UI 20,817.2, 23,542.1). The greatest increases from 1990 were found in Chile (10.8% 95% UI 6.6, 15.4), Benin (8.8% 95% UI 6.7, 11.1), and El Salvador (8.5% 95% UI 5.5, 11.9).
Conclusion
There is a large burden of musculoskeletal disorders globally, with some notable inter‐country variation. Some countries have twice the burden of other countries. Increasing population awareness regarding risk factors, consequences, and evidence‐informed treatment strategies for musculoskeletal disorders with a focus on the older female population in developed countries is needed, particularly for low back and neck pain and OA, which contribute a large burden among this cohort.
BNT162b2 and mRNA-1273 are two types of mRNA-based vaccine platforms that have received emergency use authorization. The emergence of novel severe acute respiratory syndrome (SARS-CoV-2) variants has ...raised concerns of reduced sensitivity to neutralization by their elicited antibodies. We aimed to systematically review the most recent in vitro studies evaluating the effectiveness of BNT162b2 and mRNA-1273 induced neutralizing antibodies against SARS-CoV-2 variants of concern. We searched PubMed, Scopus, and Web of Science in addition to bioRxiv and medRxiv with terms including 'SARS-CoV-2', 'BNT162b2', 'mRNA-1273', and 'neutralizing antibody' up to June 29, 2021. A modified version of the Consolidated Standards of Reporting Trials (CONSORT) checklist was used for assessing included study quality. A total 36 in vitro studies meeting the eligibility criteria were included in this systematic review. B.1.1.7 (Alpha), B.1.351 (Beta), P.1 (Gamma), and B.1.617.2 (Delta) are four SARS-CoV-2 variants that have recently been identified as variants of concern. Included studies implemented different methods regarding pseudovirus or live virus neutralization assays for measuring neutralization titres against utilized viruses. After two dose vaccination by BNT162b2 or mRNA-1273, the B.1.351 variant had the least sensitivity to neutralizing antibodies, while B.1.1.7 variant had the most sensitivity; that is, it was better neutralized relative to the comparator strain. P.1 and B.1.617.2 variants had an intermediate level of impaired naturalization activity of antibodies elicited by prior vaccination. Our review suggests that immune sera derived from vaccinated individuals might show reduced protection of individuals immunized with mRNA vaccines against more recent SARS-CoV-2 variants of concern.
High voltage circuit breakers (HVCBs) play a critical role on providing the desired reliability, and resiliency in power systems. In order to extend their lifetime and predict the failures, various ...maintenance policies could be applied on these critical components. Amongst these strategies, condition-based maintenance (CBM) provides a satisfactory agreement with future smart environment. This paper aims to provide an insight into the relevant developments in this subject and to explore the viable visions compatible with future research stream. Accordingly, three directions, i.e., diagnostic signals, intelligent modelling and using monitoring data in asset management have been addressed in this paper. It presents challenges dealing with real-time assessment of the diagnostic signals relating to measurements, and analyses. Subsequently, the issues associated with using artificial intelligent (AI) and Machine learning for providing intelligent algorithms have been discussed. Finally, the connection between the monitoring data and the asset management approach is investigated. The latter is looking for the subjects including remaining lifetime estimation, prioritization, and health index definitions. This paper has attempted to make a bridge from past to future research trends in the failure diagnosis of HVCBs.
Objective
To describe the levels and trends of point prevalence, annual incidence, and years lived with disability (YLD) for gout and its attributable risk factors in 195 countries and territories ...from 1990 to 2017 according to age, sex, and Sociodemographic Index (SDI; a composite of sociodemographic factors).
Methods
Data were extracted from the Global Burden of Disease (GBD) 2017 study. A comprehensive systematic review of databases and the disease‐modeled analysis were performed by the GBD team at the Institute for Health Metrics and Evaluation, in collaboration with researchers and experts worldwide, to provide estimates at global, regional, and national levels during 1990 and 2017. Counts and age‐standardized rates per 100,000 population, along with 95% uncertainty intervals (95% UIs), were reported for point prevalence, annual incidence, and YLD.
Results
Globally, there were ~41.2 million (95% UI 36.7 million, 46.1 million) prevalent cases of gout, with 7.4 million incident cases per year (95% UI 6.6 million, 8.5 million) and almost 1.3 million YLD (95% UI 0.87 million, 1.8 million) in 2017. The global age‐standardized point prevalence estimates and annual incidence rates in 2017 were 510.6 (95% UI 455.6, 570.3) and 91.8 (95% UI 81.3, 104.1) cases per 100,000 population, respectively, an increase of 7.2% (95% UI 6.4%, 8.1%) and 5.5% (95% UI 4.8%, 6.3%) from 1990. The corresponding age‐standardized YLD rate was 15.9 (95% UI 10.7, 21.8) cases per 100,000 persons, a 7.2% increase (95% UI 5.9%, 8.6%) from 1990. In 2017, the global point prevalence estimates for gout were higher in males, and higher prevalence was seen in older age groups and increased with age for both males and females. The burden of gout was generally highest in developed regions and countries. The 3 countries with the highest age‐standardized point prevalence estimates of gout in 2017 were New Zealand (1,394.0 cases 95% UI 1,290.1, 1,500.9), Australia (1,171.4 cases 95% UI 1,038.1, 1,322.9), and the US (996.0 cases 95% UI 923.1, 1,076.8). The countries with the highest increases in age‐standardized point prevalence estimates of gout from 1990 to 2017 were the US (34.7% 95% UI 27.7%, 43.1%), Canada (28.5% 95% UI 21.9%, 35.4%), and Oman (28.0% 95% UI 21.5%, 34.8%). Globally, high body mass index and impaired kidney function accounted for 32.4% (95% UI 18.7%, 49.2%) and 15.3% (95% UI 13.5%, 17.1%), respectively, of YLD due to gout in the 2017 estimates. The YLD attributable to these risk factors were higher in males.
Conclusion
The burden of gout increased across the world from 1990 to 2017, with variations in point prevalence, annual incidence, and YLD between countries and territories. Besides improving the clinical management of disease, prevention and health promotion in communities to provide basic knowledge of the disease, risk factors, consequences, and effective treatment options (tailoring to high‐risk groups such as the middle‐aged male population) are crucial to avoid disease onset and hence to decrease the global disease burden.
•A performance-based algorithm (HGS) is proposed for global search and optimization in real world.•HGS simulates the logic of the collaborative interactions based on individual hunger.•The extensive ...results on benchmark problems and real datasets have been investigated.•The proposed HGS is applied to engineering optimization to reduce the consumption.
A recent set of overused population-based methods have been published in recent years. Despite their popularity, most of them have uncertain, immature performance, partially done verifications, similar overused metaphors, similar immature exploration and exploitation components and operations, and an insecure tradeoff between exploration and exploitation trends in most of the new real-world cases. Therefore, all users need to extensively modify and adjust their operations based on main evolutionary methods to reach faster convergence, more stable balance, and high-quality results. To move the optimization community one step ahead toward more focus on performance rather than change of metaphor, a general-purpose population-based optimization technique called Hunger Games Search (HGS) is proposed in this research with a simple structure, special stability features and very competitive performance to realize the solutions of both constrained and unconstrained problems more effectively. The proposed HGS is designed according to the hunger-driven activities and behavioural choice of animals. This dynamic, fitness-wise search method follows a simple concept of “Hunger” as the most crucial homeostatic motivation and reason for behaviours, decisions, and actions in the life of all animals to make the process of optimization more understandable and consistent for new users and decision-makers. The Hunger Games Search incorporates the concept of hunger into the feature process; in other words, an adaptive weight based on the concept of hunger is designed and employed to simulate the effect of hunger on each search step. It follows the computationally logical rules (games) utilized by almost all animals and these rival activities and games are often adaptive evolutionary by securing higher chances of survival and food acquisition. This method's main feature is its dynamic nature, simple structure, and high performance in terms of convergence and acceptable quality of solutions, proving to be more efficient than the current optimization methods. The effectiveness of HGS was verified by comparing HGS with a comprehensive set of popular and advanced algorithms on 23 well-known optimization functions and the IEEE CEC 2014 benchmark test suite. Also, the HGS was applied to several engineering problems to demonstrate its applicability. The results validate the effectiveness of the proposed optimizer compared to popular essential optimizers, several advanced variants of the existing methods, and several CEC winners and powerful differential evolution (DE)-based methods abbreviated as LSHADE, SPS_L_SHADE_EIG, LSHADE_cnEpSi, SHADE, SADE, MPEDE, and JDE methods in handling many single-objective problems. We designed this open-source population-based method to be a standard tool for optimization in different areas of artificial intelligence and machine learning with several new exploratory and exploitative features, high performance, and high optimization capacity. The method is very flexible and scalable to be extended to fit more form of optimization cases in both structural aspects and application sides. This paper's source codes, supplementary files, Latex and office source files, sources of plots, a brief version and pseudocode, and an open-source software toolkit for solving optimization problems with Hunger Games Search and online web service for any question, feedback, suggestion, and idea on HGS algorithm will be available to the public at https://aliasgharheidari.com/HGS.html.
The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers. Most of these cliché methods mimic animals' searching trends and possess a small contribution to the ...optimization process itself. Most of these cliché methods suffer from the locally efficient performance, biased verification methods on easy problems, and high similarity between their components' interactions. This study attempts to go beyond the traps of metaphors and introduce a novel metaphor-free population-based optimization method based on the mathematical foundations and ideas of the Runge Kutta (RK) method widely well-known in mathematics. The proposed RUNge Kutta optimizer (RUN) was developed to deal with various types of optimization problems in the future. The RUN utilizes the logic of slope variations computed by the RK method as a promising and logical searching mechanism for global optimization. This search mechanism benefits from two active exploration and exploitation phases for exploring the promising regions in the feature space and constructive movement toward the global best solution. Furthermore, an enhanced solution quality (ESQ) mechanism is employed to avoid the local optimal solutions and increase convergence speed. The RUN algorithm's efficiency was evaluated by comparing with other metaheuristic algorithms in 50 mathematical test functions and four real-world engineering problems. The RUN provided very promising and competitive results, showing superior exploration and exploitation tendencies, fast convergence rate, and local optima avoidance. In optimizing the constrained engineering problems, the metaphor-free RUN demonstrated its suitable performance as well. The authors invite the community for extensive evaluations of this deep-rooted optimizer as a promising tool for real-world optimization. The source codes, supplementary materials, and guidance for the developed method will be publicly available at different hubs at http://imanahmadianfar.com and http://aliasgharheidari.com/RUN.html.
Coronavirus disease (Covid-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is currently the largest health crisis facing most countries. Several factors have been linked ...with a poor prognosis for this disease, including demographic factors, pre-existing comorbidities and laboratory parameters such as white blood cell count, D-dimer, C-reactive protein, albumin, lactate dehydrogenase, creatinine and electrolytes. Electrolyte abnormalities particularly potassium disorders are common among Covid-19 patients. Based on our pooled analysis, hypokalemia and hyperkalemia occur in 24.3% and 4.15% of Covid-19 patients, respectively. Potassium level deviation from the normal range may increase the chances of unfavorable outcomes and even death. Therefore, this article reviewed the epidemiology of potassium disorders and explained how hypokalemia and hyperkalemia are capable of deteriorating cardiac outcomes and the prognosis of Covid-19 for infected patients. The article finishes by highlighting some important considerations in the management of hypokalemia and hyperkalemia in these patients.
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