Metaheuristic nature-inspired algorithms for reservoir optimization operation: a systematic literature review

This study presents state-of-the-art avatar consumption research in business as a scientific field. To this end, the following research questions were formulated: RQ1: Which scholarly articles have been the most influential in terms of the number of citations? RQ2: What has been the predominant research methodology used in research on the topic of avatar consumption? RQ3: What are the main themes and theories used in research on the topic of avatar consumption? We used a systematic literature review to provide answers to these research questions. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement served as the foundation for conducting a systematic literature review. We decided to extract the data for this study from the Web of Science (WoS) database, which is a prevalent choice for bibliometric research due to its comprehensive coverage of the world's scholarly literature. By limiting the scope of the search according to the scientific field of interest - management, we retrieved data from the Wo S database for the years 1990–2022 using the following search query: “avatar consumer” OR “avatar consumption” OR “avatar marketing” OR “avatar”. The final search yielded 50 peer-reviews articles by searching the query mentioned above by abstract in WoS records. The results indicate that the scholarly work related to avatar consumption is still nascent. Among several theories used to explain avatar consumption (e.g., theory of reasoned action, social presence theory, theory of self-determination, theory of symbolic construction, theory of consumer identity construction), we focused on the theory of self-determination to explain how avatar usage is related to the expression of identity and the construction of multiple consumer identities.

In this paper, we present the development of the Altered States Database (ASDB), an open-science project based on a systematic literature review. The ASDB contains psychometric questionnaire data on subjective experiences of altered states of consciousness (ASC) induced by pharmacological and non-pharmacological methods. The systematic review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Scientific journal articles were identified through PubMed and Web of Science. We included studies that examined ASC using the following validated questionnaires: Altered States of Consciousness Rating Scale (APZ, 5D-ASC, 11-ASC), Phenomenology of Consciousness Inventory (PCI), Hallucinogen Rating Scale (HRS), or Mystical Experience Questionnaire (MEQ30). The systematic review resulted in the inclusion of a total of 165 journal articles, whereof questionnaire data was extracted and is now available on the Open Science Framework (OSF) website (https://osf.io/8mbru) and on the ASDB website (http://alteredstatesdb.org), where questionnaire data can be easily retrieved and visualized. This data allows the calculation of comparable psychometric values of ASC experiences and of dose-response relationships of substances inducing ASC.

Systematic Reviews in Medical Education.

Research trends in mining accidents study: A systematic literature review

Despite the fact that this is an ecological study, and the excesses of pathologies with multifactorial aetiology can never be mechanically attributed solely to the environmental pressure factors that exist or existed in the areas studied, the ability to identify the excesses found in the contaminated sites investigated by the SENTIERI Project confirms the validity of this method of assessing the site-specific health profile, based on the use of epidemiological evidence to identify pathologies of interest a priori. In interpreting the data and lending robustness to what has been observed, comparison with the results obtained in previous Reports is essential. The global estimates give an overall picture that shows excess mortality and hospitalization in these populations compared to the rest of the population, and show how, for specific pathologies, comparable effects are produced at sites with similar contamination characteristics. The themes developed in the in-depth chapters broaden the vision and understanding of the complex interactions between environment and health, describe the possibilities offered by new ways of communicating the results, and confirm the modernity of a Project that began way back in 2006, and that could be grafted onto the objectives of the National Recovery and Resilience Plan within the framework of the Operational Programme Health, Environment, Biodiversity and Climate.

Reasonable optimal operation policy for complex multiple reservoir systems is very important for the safe and efficient utilization of water resources. The operation policy of multiple hydropower reservoirs should be optimized to maximize total hydropower generation, while ensuring flood control safety by effective and efficient storage and release policy of multiple reservoirs. To achieve this goal, a new meta-heuristic algorithm, salp swarm algorithm (SSA), is used to optimize the joint operation of multiple hydropower reservoirs for the first time. SSA is a competitive bio-inspired optimizer, which has received substantial attention from researchers in a wide variety of applications in finance, engineering, and science because of its little controlling parameters and adaptive exploratory behavior. However, it still faces few drawbacks such as lack of exploitation and local optima stagnation, leading to a slow convergence rate. In order to tackle these problems, multiple strategies combining sine cosine operator, opposition-based learning mechanism, and elitism strategy are applied to the original SSA. The sine cosine operator is applied to balance the exploration and exploitation over the course of iteration; the opposition-based learning mechanism is used to enhance the diversity of the swarm; and the elitism strategy is adopted to find global optima. Then, the improved SSA (ISSA) is compared with six well-known meta-heuristic algorithms on 23 classical benchmark functions. The results obtained demonstrate that ISSA outperforms most of the well-known algorithms. Then, ISSA is applied to optimal operation of multiple hydropower reservoirs in the real world. A multiple reservoir system, namely Xiluodu Reservoir and Xiangjiaba Rservoir, in the upper Yangtze River of China are selected as a case study. The results obtained show that the ISSA is able to solve a real-world optimization problem with complex constraints. In addition, for the typical flood with a 100 return period in 1954, the maximum hydropower generation of multiple hydropower reservoirs is about 6671 GWh in the case of completing the flood control task, increasing by 1.18% and 1.77% than SSA and Particle Swarm Optimization (PSO), respectively. Thus, ISSA can be used as an alternative effective and efficient tool for the complex optimization of multiple hydropower reservoirs. The water resources in the river basin can be further utilized by the proposed method to cope with the increasingly serious climate change.

This article provides a step-by-step approach to conducting and reporting systematic literature reviews (SLRs) in the domain of healthcare design and discusses some of the key quality issues associated with SLRs. SLR, as the name implies, is a systematic way of collecting, critically evaluating, integrating, and presenting findings from across multiple research studies on a research question or topic of interest. SLR provides a way to assess the quality level and magnitude of existing evidence on a question or topic of interest. It offers a broader and more accurate level of understanding than a traditional literature review. A systematic review adheres to standardized methodologies/guidelines in systematic searching, filtering, reviewing, critiquing, interpreting, synthesizing, and reporting of findings from multiple publications on a topic/domain of interest. The Cochrane Collaboration is the most well-known and widely respected global organization producing SLRs within the healthcare field and a standard to follow for any researcher seeking to write a transparent and methodologically sound SLR. Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA), like the Cochrane Collaboration, was created by an international network of health-based collaborators and provides the framework for SLR to ensure methodological rigor and quality. The PRISMA statement is an evidence-based guide consisting of a checklist and flowchart intended to be used as tools for authors seeking to write SLR and meta-analyses.

<p class="0abstract"><span lang="EN-US">With every year’s start being a new beginning and a source of happiness, reigniting hopes and optimism around the world, the happiness and enjoyment of the year 2020 faded away quite earlier. It was not long into the year 2020 that the notorious COVID-19 hit the world. Millions of people died of it and billions of people got affected by it either directly or indirectly. With its impact on everybody, it drastically affected the business world as well; individuals lost their jobs and companies lost their businesses. However, companies learned to respond to the pandemic by converting their businesses to the online business model and the customers also shifted to online shopping. With this compelling shift, the customers still had the phobia of online shopping and tried to abstain from it as much as possible. To respond to this, a systematic review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was developed to offer a systematic and holistic literature review of the research regarding customer confidence in online shopping particularly by the use of Augmented Reality (AR) technology. The database of this review includes a set of 54 systemically selected state-of-the-art articles from Scopus database covering empirical and theory research conducted in different countries with different resource endowments. The results show that the use of AR technology can help customers in overcoming their shopping phobia and thus, it can be a source of enhanced online business for companies. Some possible opportunities for future research are also illustrated in this paper.</span></p>

Classification of antecedents towards safety use of health information technology: A systematic review

Formulation of chewable tablets from extracts of natural ingredients requires special attention in designing preparations that maintain the quality and stability of the active ingredients. The extract must have the desired pharmacological effect and be proven safe to use. This study aimed to carry out a systematic review in order to explore formulations of chewable tablets made from natural ingredients. The literature search process was carried out on various databases (PubMed, Web of Sciences, EMBASE, Cochrane Libraries, and Google Scholar) regarding the formulation and evaluation of chewable tablets from natural extracts. This study follows the preferred reporting items for systematic reviews and meta-analysis (PRISMA) recommendations. Formulation of chewable tablets from extracts of natural ingredients is an interesting approach in the development of pharmaceutical preparations. Through a selection of appropriate extracts, careful evaluation of stability, and attention to taste and aroma, these chewable tablets can provide significant benefits to patients. However, it is important to carry out careful research and testing to ensure the safety, effectiveness, and quality of these products before they are used in clinical practice.

The purpose of this study is to conduct a systematic review and meta-analysis evaluating the effects of respiratory muscle therapy (ie, oropharyngeal exercises, speech therapy, breathing exercises, wind musical instruments) compared with control therapy or no treatment in improving apnea-hypopnea index ([AHI] primary outcome), sleepiness, and other polysomnographic outcomes for patients diagnosed with obstructive sleep apnea (OSA). Only randomized controlled trials with a placebo therapy or no treatment searched using PubMed, EMBASE, Cochrane, and Web of Science up to November 2018 were included, and assessment of risk of bias was completed using the Cochrane Handbook. Nine studies with 394 adults and children diagnosed with mild to severe OSA were included, all assessed at high risk of bias. Eight of the 9 studies measured AHI and showed a weighted average overall AHI improvement of 39.5% versus baselines after respiratory muscle therapy. Based on our meta-analyses in adult studies, respiratory muscle therapy yielded an improvement in AHI of -7.6 events/h (95% confidence interval [CI] = -11.7 to -3.5; P ≤ .001), apnea index of -4.2 events/h (95% CI = -7.7 to -0.8; P ≤ .016), Epworth Sleepiness Scale of -2.5 of 24 (95% CI= -5.1 to -0.1; P ≤ .066), Pittsburgh Sleep Quality Index of -1.3 of 21 (95% CI= -2.4 to -0.2; P ≤ .026), snoring frequency (P = .044) in intervention groups compared with controls. This systematic review highlights respiratory muscle therapy as an adjunct management for OSA but further studies are needed due to limitations including the nature and small number of studies, heterogeneity of the interventions, and high risk of bias with low quality of evidence.

Adults with a serious persistent mental illness (SPMI) express a strong desire to work. However, they continue to experience higher levels of unemployment, barriers, and occupational exclusion that impact their vocational outcomes and choice of work. The aim of this study was to investigate the impact of co‐location partnerships between adult mental health and disability employment services (DES) on employment outcomes and consumer choice of work for adults with a SPMI. Following the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) methodology, a systematic literature review was conducted by searching four databases. The relationship between mental health, employment, and DES was examined. Inclusion criteria were adults with a SPMI; employment services and outcomes; and job retention and sustainability. Twelve studies met inclusion criteria. All studies were peer‐reviewed, Australian‐based, and published between 01 January 2017 and 30 August 2021. Individual placement and support (IPS); DES practice, funding, policy, and reform within the Australian mental health system; and barriers to participation in DES were the three main themes that emerged. Findings highlight the importance of joint, co‐location partnerships between mental health and employment services, including a collaborative approach to policy reform between both services, to assist adults with a SPMI to gain and sustain competitive employment. Vocational, non‐vocational, systemic, and structural barriers still exist; hence, adults with a SPMI continue to face challenges with gaining and sustaining long‐term employment. Hence, it is important for these partnerships to be systematically set up to support the complexity of the employment journey for adults with a SPMI.

Complex huge-scale scientific applications are simplified by workflow to execute in the cloud environment. The cloud is an emerging concept that effectively executes workflows, but it has a range of issues that must be addressed for it to progress. Workflow scheduling using a nature-inspired metaheuristic algorithm is a recent central theme in the cloud computing paradigm. It is an NP-complete problem that fascinates researchers to explore the optimum solution using swarm intelligence. This is a wide area where researchers work for a long time to find an optimum solution but due to the lack of actual research direction, their objectives become faint. Our systematic and extensive analysis of scheduling approaches involves recently high-cited metaheuristic algorithms like Genetic Algorithms (GA), Whale Search Algorithm (WSA), Ant Colony Optimization (ACO), Bat Algorithm, Artificial Bee Colony (ABC), Cuckoo Algorithm, Firefly Algorithm and Particle Swarm Optimization (PSO). Based on various parameters, we do not only classify them but also furnish a comprehensive striking comparison among them with the hope that our efforts will assist recent researchers to select an appropriate technique for further undiscovered issues. We also draw the attention of present researchers towards some open issues to dig out unexplored areas like energy consumption, reliability and security for considering them as future research work.

Objective - The purpose of this paper is to conduct a systematic review of the leadership style practiced by leaders in small and medium-sized enterprises. Methodology/Technique - Following the protocol guidance known as the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flowchart, a total of six articles were reviewed and analysed after meeting inclusion criteria and being deemed relevant to the goals of this paper. Findings - The results of the study suggested that the leadership styles of leaders in the context of small and medium enterprises are based on the following elements: 1) the background of an organization; 2) the characteristics of the leader; 3) the relationship between leader and followers; and 4) the position of the followers. Novelty - This paper contributes to the knowledge on leadership style in general, specifically in the context of small and medium-sized enterprises. Type of Paper - Review. Keywords: Leader; leadership style; PRISMA; small and medium-sized enterprises; systematic literature review. JEL Classification: L20, L29.

Purpose Research on developmental language disorder (DLD) in adulthood has increased rapidly in recent years. However, to date, there has been no systematic literature review on this topic, thereby limiting the possibility to have a comprehensive overview of publications in this field. Method Following Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines, we conducted a systematic literature review. A literature search was undertaken in four databases, from 2005 to 2018. We selected articles with original data related to life outcomes of young adults with and without DLD, all aged between 18 and 34 years, in three life areas: education, employment, and independent living. Methodological characteristics of the studies were analyzed. Results Fifteen articles were selected with longitudinal designs. In every life area, young adults with DLD were compared to their typically developing peers to identify their strengths and weaknesses. The predictive role of language abilities was also examined. Conclusions Outcomes within each life area are heterogeneous. Nevertheless, similarly to young children and adolescents, young adults with DLD face numerous challenges. Although language abilities partly predict some of these outcomes, much of the variance remains unaccounted for and some outcomes are unrelated to this predictor. This systematic literature review has implications for researchers and practitioners to identify promising avenues for research, interventions, and policy development. Supplemental Material https://doi.org/10.23641/asha.13022552.