Topical Review Research Articles

Flying Ad-Hoc Networks (FANETs): Review of Communications, Challenges, Applications, Future direction and Open Research Topics

Flying Ad-Hoc Networks (FANETs): Review of Communications, Challenges, Applications, Future direction and Open Research Topics

Implant reconstruction after mastectomy–A review and summary of current literature

IntroductionThe landscape of breast reconstruction has changed significantly with a shift in focus to include the restoration of a patient's quality of life after cancer. Reconstructive options can be divided into alloplastic (implant based) and autologous (tissue based). This paper aims to provide a current educational summary regarding implant-based reconstruction after breast cancer surgery and review the current literature. MethodA review of the literature was conducted utilising standard PRISMA flowchart. Databases searched included Pubmed, EMBASE, and MEDLINE. ResultsCurrent practice is explored within the text, including types of implants, indications, and surgical approaches. Heterogenous cohorts, surgical technique variation, and selection bias can make comparison of the literature challenging. The major evidence reviews of implant-based reconstruction topics are discussed including, ADM use, radiotherapy, and complications. Despite the benefits of autologous reconstruction, implant-based techniques still represent a significant proportion of reconstructive breast procedures. However, implant-reconstruction is not without its risks and limitations and, with such variety in practice, there remains a lack of high-quality evidence guiding practice. Most importantly, patients need to be counselled about the pros and cons of each choice, particularly with the increasing utilisation of radiotherapy post-reconstruction. Ultimately, the patient and surgeon should reach a decision in full knowledge of the risks and potential outcomes. ConclusionsFurther research is required into implant-based reconstructive therapy, which will allow a greater consensus for management and a pathway for both surgeons and patients.

A pandemic of COVID-19 mis- and disinformation: manual and automatic topic analysis of the literature

Abstract Objective: Social media’s arrival eased the sharing of mis- and disinformation. False information proved challenging throughout the coronavirus disease 2019 (COVID-19) pandemic with many clinicians and researchers analyzing the “infodemic.” We systemically reviewed and synthesized COVID-19 mis- and disinformation literature, identifying the prevalence and content of false information and exploring mitigation and prevention strategies. Design: We identified and analyzed publications on COVID-19-related mis- and disinformation published from March 1, 2020, to December 31, 2022, in PubMed. We performed a manual topic review of the abstracts along with automated topic modeling to organize and compare the different themes. We also conducted sentiment (ranked −3 to +3) and emotion analysis (rated as predominately happy, sad, angry, surprised, or fearful) of the abstracts. Results: We reviewed 868 peer-reviewed scientific publications of which 639 (74%) had abstracts available for automatic topic modeling and sentiment analysis. More than a third of publications described mitigation and prevention-related issues. The mean sentiment score for the publications was 0.685, and 56% of studies had a negative sentiment (fear and sadness as the most common emotions). Conclusions: Our comprehensive analysis reveals a significant proliferation of dis- and misinformation research during the COVID-19 pandemic. Our study illustrates the pivotal role of social media in amplifying false information. Research into the infodemic was characterized by negative sentiments. Combining manual and automated topic modeling provided a nuanced understanding of the complexities of COVID-19-related misinformation, highlighting themes such as the source and effect of misinformation, and strategies for mitigation and prevention.

Intimate partner violence against women: systematic review of current typologies, methodologies and topics in its research

Introduction: intimate partner violence against women is a public health problem. Currently, there is a significant number of research on this problem. Objective: describe methodological aspects, typologies and variables studied in empirical research on intimate partner violence against women. Method: a systematic review was carried out, with a search in WOS, Scopus and SciELo for publications between 2015 and 2019. Of 762 articles identified, 178 met the inclusion criteria. RESULTS: The most used design was the cross-sectional one, with quantitative correlational analysis (73 %); with samples between 100 and 500 participants (31 %) and mainly developed in North America (43 %). Regarding the variables, individual characteristics of the woman, physical and mental consequences of IPV, characteristics of the couple's relationship and social variables that may affect IPV are studied. IPV was characterized as Psychological, physical and sexual, with a new typology called coercive control.Conclusions: the use of cross-sectional designs is understandable due to the ethical implications required for this population; The variables included include a wide spectrum of both possible risk factors and consequences of violence. Coercive control constitutes a new comprehensive aspect at IPV

Systematic Literature Review terhadap Klasifikasi Emosi pada Lirik Lagu Berbahasa Ambon menggunakan Metode Bidirectional LSTM dengan Glove Word Representation Weighting

One form of text that can express emotions is lyrics. Lyrics are a type of literary work expressed in the form of words, the contents of which can express the songwriter's personal feelings, thoughts, and emotions. Therefore, the lyrics can be used as an object of research on the classification of emotions. The classification of song lyrics really requires bi-LSTM to be the input value when classifying data in the form of song lyrics in order to get high accuracy results. This research was carried out systematically and the results were measurable. Descriptive qualitative research was used in this research. The results of identification based on case studies and statistics show that the reviews of popular topics are identical. The classification of song lyrics really requires bi-LSTM to be the input value when classifying data in the form of song lyrics in order to get high accuracy results.

Structural topic model-based comparative review of human pose estimation research in the United States and China

Structural topic model-based comparative review of human pose estimation research in the United States and China

The Modeling and Control of (Renewable) Energy Systems by Partial Differential Equations—An Overview

Mathematical models of energy systems have been mostly represented by either linear or nonlinear ordinary differential equations. This is consistent with lumped-parameter dynamic system modeling, where dynamics of system state variables can be fully described only in the time domain. However, when dynamic processes of energy systems display both temporal and spatial evolutions (as is the case of distributed-parameter systems), the use of partial differential equations is necessary. Distributed-parameter systems, being described by partial differential equations, are mathematically (and computationally) much more difficult for modeling, analysis, simulation, and control. Despite these difficulties in recent years, quite a significant number of papers that use partial differential equations to model and control energy processes and systems have appeared in journal and conference publications and in some books. As a matter of fact, distributed-parameter systems are a modern trend in the areas of control systems engineering and some energy systems. In this overview, we will limit our attention mostly to renewable energy systems, particularly to partial differential equation modeling, simulation, analysis, and control papers published on fuel cells, wind turbines, solar energy, batteries, and wave energy. In addition, we will indicate the state of some papers published on tidal energy systems that can be modelled, analyzed, simulated, and controlled using either lumped or distributed-parameter models. This paper will first of all provide a review of several important research topics and results obtained for several classes of renewable energy systems using partial differential equations. Due to a substantial number of papers published on these topics in the past decade, the time has come for an overview paper that will help researchers in these areas to develop a systematic approach to modeling, analysis, simulation, and control of energy processes and systems whose time–space evolutions are described by partial differential equations. The presented overview was written after the authors surveyed more than five hundred publications available in well-known databases such as IEEE, ASME, Wiley, Google, Scopus, and Web of Science. To the authors’ best knowledge, no such overview on PDEs for energy systems is available in the scientific and engineering literature. Throughout the paper, the authors emphasize novelties, originalities, and new ideas, and identify open problems for future research. To achieve this goal, the authors reviewed more than five hundred journal articles and conference papers.

Experimental Modeling of Host-Bacterial Interactions in Head and Neck Squamous Cell Carcinoma.

The microscopic species colonizing the human body, collectively referred to as the microbiome, play a crucial role in the maintenance of tissue homeostasis, immunity, and the development of disease. There is evidence to suggest associations between alterations in the microbiome and the development of head and neck squamous cell carcinomas (HNSCC). The use of two-dimensional (2D) modeling systems has made significant strides in uncovering the role of microbes in carcinogenesis; however, direct mechanistic links remain in their infancy. Patient-derived three-dimensional (3D) HNSCC organoid and organotypic models have recently been described. Compared to 2D models, 3D organoid culture systems effectively capture the genetic and epigenetic features of parent tissue in a patient-specific manner and may offer a more nuanced understanding of the role of host-microbe responses in carcinogenesis. This review provides a topical literature review assessing the current state of the field investigating the role of the microbiome in HNSCC; including in vivo and in vitro modeling methods that may be used to characterize microbiome-epithelial interactions.

Advances in Deep Learning Models for Resolving Medical Image Segmentation Data Scarcity Problem: A Topical Review

Advances in Deep Learning Models for Resolving Medical Image Segmentation Data Scarcity Problem: A Topical Review

Social Support and Depression among Stroke Patients: A Topical Review.

Research has shown a protective association between social support and depression, depression among stroke patients, and health impacts of depression. Despite this, not much is known about the effect of social support on depression among stroke patients. This review aims to summarize the current research examining the association between social support and depression among stroke patients. A literature search was performed in PubMed to find original peer-reviewed journal articles from 2016 to 12 March 2023 that examined the association between social support and depression among stroke patients. The search terms were depression and "social support" and stroke, which lead to 172 articles. After abstract review, seven observational studies that studied the target association among stroke patients were selected. One additional study was found using PsycINFO as a complementary source with the same search strategy and criteria. Overall, a negative association was found between social support and depression among stroke patients in eight studies, with more social support leading to lower rates of depression post-stroke. The other study did not find a statistically significant association. Overall, the results of recent studies suggest that social support is negatively associated with depression among stroke patients. In most studies, this association was statistically significant. The findings suggest the importance of improving social support perceived by stroke patients in the prevention of depression after the occurrence of stroke.

Review of Hot Topics in the Sustainable Development of Energy, Water, and Environment Systems Conference in 2022

The current applications in the energy sector are based largely on fossil fuels which release greenhouse gas emissions to the atmosphere. To face the issue of global warming, the energy sector has to transfer to and develop sustainable energy solutions that do not release carbon emissions. This is one of the primary motivators for the SDEWES conference as well as for this review, and previous ones, examining the most recent works based on sustainable and green energy production in such fields. The 17th Conference on the Sustainable Development of Energy, Water, and Environment Systems (SDEWES) was held on 6–10 November 2022 in Paphos, Cyprus. The SDEWES conference aims at solving complex and ongoing concerns that approach a long-term perspective and supporting innovative solutions and continuous monitoring and evaluation. This review paper aims at collecting the main presented papers focused on the following hot topics: low-carbon technologies based on renewable and clean-energy systems, including mainly biomass, solar, and wind energy applications; energy storage systems; hydrogen-based systems; energy-saving strategies in buildings; and the adoption of smart management strategies using renewable energy systems. These topics are investigated in order to propose solutions to address the issues of climate change, water scarcity, and energy saving. From the analyzed works, we note that some key issues for sustainable development remain to be further addressed: such as novel and advanced energy storage systems, green hydrogen production, novel low-temperature district heating and cooling networks, novel solar technologies for the simultaneous production of power and high temperature heat, solar desalination for hydrogen production systems, and agrivoltaic systems for the production of power and food.

Construction of multilevel statistical models in health research: Foundations and generalities

This topic review aims to present a global vision of multilevel analysis models’ applicability to health research, explaining its theoretical, methodological, and statistical foundations. We describe the basic steps to build these models and examples of their application according to the data hierarchical structure. It ir worth noticing that before using these models, researchers must have a rationale for needing them, and a statistical evaluation accounting for the variance percentage explained by the observations grouping effect. The requirements to conduct this type of analysis depends on special conditions such as the type of variables, the number of units per level, or the type of hierarchical structure. We conclude that multilevel analysis models are a useful tool to integrate information, considering the complexity of the relationships and interactions involved in most health conditions, including the loss of independence between observation units.

Evolution of Parent-Targeted Interventions for Pain-Predominant Disorders of Gut-Brain Interactions: Research and Clinical Practice Considerations.

Abdominal pain-related Disorders of Gut-Brain Interaction (DGBIs) in children are best understood from a biopsychosocial model, including particular attention to the child's environment. Interventions have begun to increasingly target parents as important agents of change in this population. The purpose of this manuscript is to summarize the evolution of parent-targeted interventions for pediatric pain-related DGBIs and provide recommendations for application of the model to clinical practice. A topical review of literature regarding parent-targeted interventions and related factors in the treatment of pediatric pain-related DGBIs was conducted, followed by a discussion of these findings to clinical practice settings. A growing body of research has supported parent-targeted interventions in the treatment of pediatric pain-related disorders of gut-brain interactions (DGBI), although translation of these findings to practice settings is complicated by numerous factors. Strategies for obtaining physician buy-in and parental engagement are discussed, as are potential logistical considerations of multiple caregivers, child age, and billing considerations. There is a promising and growing evidence-base for parent-targeted interventions for pain-related DGBIs, which have not yet been widely adopted into clinical practice recommendations. Engaging all stake-holders and attending to the nuances of this approach are recommended to successfully apply parent-targeted interventions into clinical practice settings.

A topical review of conjunctive heart rate variability biofeedback and acceptance and commitment therapy for pediatric disorders of gut–brain interaction.

A topical review of conjunctive heart rate variability biofeedback and acceptance and commitment therapy for pediatric disorders of gut–brain interaction.

Olfactory and gustatory disorders associated with SARS-CoV-2 infection in children and adults: a topic review.

This paper is aimed at comprehensively reviewing olfactory and gustatory disorders caused by SARS-CoV-2 in children and adults. An electronic and manual search was done on three databases: MEDLINE, Embase, and Web of Science. Inclusion criteria included publications written in English, involving humans in the age range of 0 to 99 years that were captured by a controlled vocabulary of thesaurus terms. Olfactory and gustatory disorders rates in COVID-19 ranged from 22% to 71.9% in adults and 16.6% to 25.8% in children. Olfactory and gustatory disorders might appear as the first symptom, and in adults might even be the only symptom (4.8% to 10%). Anosmia is the most common olfactory disorder and hypogeusia is the most common gustatory disorder. In 33% to 89% of cases, olfactory and gustatory disorders resolve spontaneously within a few weeks, coinciding with the resolution of other COVID-19 symptoms, both in adults and children. However, in some patients, olfactory and gustatory disorders persist beyond the resolution of other symptoms. Notably, children generally experience a swifter and more favorable recovery compared to adults. The precise pathogenesis underlying olfactory and gustatory disorders in the context of COVID-19 remains unclear and is likely multifactorial. Presently, no established treatment protocol exists for olfactory and gustatory disorders and current treatments reviewed lack robust evidence and are not readily available for clinical use. Olfactory training represents the only therapy currently recommended by international authorities. Pediatric practitioners and general dental practitioners should be aware of olfactory and gustatory disorders in both pediatric and adult populations, including their biologic mechanisms, treatment options, and recovery rates.

The First 25 Years of Digital Marketing Education Research: A Thematic Exploration and an Agenda for Future Inquiry

The internet has changed marketing education and disrupted the traditional approach to teaching marketing. Digital marketing as a field of study is a dynamic discipline that requires educators to evaluate their curricula and teaching methods constantly. This research reviews the digital marketing education research over the past 25 years to gauge the current standing of the extant literature. A multi-step process with specific research goals was implemented to assess the current state. First, a thematic review of the literature based on the modules of capabilities developed by the Digital Marketing Institute and the American Marketing Association contributed to identifying four eras of digital marketing education research. Next, the authors assess areas of research coinciding with the topical review to assess relevant research in each area. We conclude with recommendations for research to fill the gaps, including calls for work in search engine optimization, analytics, and email marketing, as well as greater attention when submitting article keywords, as finding papers when searching EBSCO or Web of Science depends on relevant keywords.

The Effectiveness of Graphic Organisers for Improving Reading Comprehension in ESL Learners: A Systematic Literature Review

The objective of this study is to examine the effects of graphic organisers (GOs) as an instructional tool for enhancing reading comprehension among ESL learners. This paper presents a systematic review of related topics over the past decade, from 2015 to 2020, and found 31 journal papers that fulfilled the research criteria, representing the scholarly work in this field. These studies were published in journals indexed in Google Scholar, Eric, ProQuest, and JStor, and were selected according to a set of inclusion and exclusion criteria. The current literature review reveals that graphic organisers help learners visually organise and structure information, making complex concepts and relationships more accessible. They promote active engagement with the content as well as support the identification of main ideas, supporting details, and relationships between concepts. This enhanced comprehension leads to better retention and understanding of the material. However, the effectiveness of graphic organisers is influenced by issues such as visual literacy challenges, lack of familiarity with GOs, low cognitive level, and selection of an appropriate GO. In conclusion, our findings suggest that incorporating graphic organisers in language learning can be a valuable tool for educators to enhance their students’ reading comprehension skills. By considering the influencing factors, educators can tailor their teaching methods to optimise the benefits of graphic organisers.

Research topics and intellectual structure in Human Resource Development International 1998–2022: a bibliometric and topic modelling review

ABSTRACT This study presents the landscape of the Human Resource Development International (HRDI) journal, a prominent platform for international and cross-cultural HRD research, using bibliometrics and topic modelling. The research is driven by four key questions, which delve into the structural and compositional characteristics of HRDI research, the progression of research themes, distinctions between refereed and non-refereed articles, and the patterns of country contributions and collaborations. The study underscores the pivotal role of HRDI for HRD research and practice in global and cross-cultural contexts. It also uncovers shifts in research themes, particularly during the COVID-19 pandemic. Additionally, the study underscores the importance of infusing domain expertise throughout the process of text analytics to ensure the precision and meaningful interpretation of results.

Self-Control in Pediatric Migraine Management: A Topical Review.

This review examines the role that two types of self-control may play in youth's self-management of migraine. Although traditionally conceptualized from an inhibitory lens, self-control has both initiatory and inhibitory functions, and the authors suggest the distinction is important in relation to youth's ability to adhere to different components of migraine treatment regimens. A topical review of the literature was conducted to identify evidence-based interventions to treat pediatric migraine and conceptualize the role self-control (both initiatory and inhibitory) may play in adherence to its regimen. Both PsycInfo and PubMed databases were used to identify relevant articles. Existing evidence-based interventions and recommendations for pediatric migraine require inhibitory self-control (e.g., avoiding caffeine, tobacco) and initiatory self-control (e.g., taking medication). Formal intervention programs (e.g., cognitive behavioral therapy) tend to employ initiatory self-control (e.g., modifying physical reactions in response to biofeedback). Understanding the distinct types of self-control required for adherence to different interventions allows for a better conceptualization of self-management of pediatric migraine. Individuals may struggle with adherence when they have deficits in one or both types of self-control skills. Future research should consider whether self-control is associated with differential adherence patterns in pediatric migraine management.

Hantavirus pulmonary syndrome (HPS), native communities and public health epidemic surveillance in the United States

Purpose This case study paper aims to explore the complexities and challenges of epidemic response and public health surveillance in Native American and Indigenous American communities in the United States and find viable solutions. This paper explores these topics through the emergence and impact of the hantavirus pulmonary syndrome (HPS) within the Navajo Nation in the United States using critical incident analysis and best practices.Design/methodology/approach This project is a case study paper based on a topical review of the literature. A topical review of the literature is a comprehensive exploration of the current body of knowledge within a particular research field. It is an important tool used by scholars and practitioners to further the development of existing knowledge as well as to identify potential directions for future research (Fourie, 2020). Such a paper can provide a useful insight into the various aspects of the process that the researcher may have overlooked, as well as highlighting potential areas of improvement (Gall et al., 2020). It can also provide a useful source of ideas and inspiration for the researcher as it can provide an overview of the various approaches used by other researchers in the field (Göpferich, 2009). Case study papers using a topical review of the literature have been used to help frame and inform research topics, problems and best practices for some time. They are typically used to explore a topic in greater depth and to provide an overview of the literature to improve the world of practice to provide a foundation for future comprehensive empirical research. Case study papers can provide research value by helping to identify gaps in the literature and by providing a general direction for further research. They can also be used to provide a starting point for research questions and hypotheses and to help identify potential areas of inquiry.Findings This study explores best practices in public health surveillance and epidemic response that can help strengthen public health infrastructure by informing the development of effective surveillance systems and emergency response plans, as well as improving data collection and analysis capabilities within Native American and Indigenous American communities in the United States that also have the option to include new technologies like artificial intelligence (AI) with similar outbreaks in the future.Research limitations/implicationsThe literature review did not include any primary data collection, so the existing available research may have limited the findings. The scope of the study was limited to published literature, which may not have reported all relevant findings. For example, unpublished studies, field studies and industry reports may have provided additional insights not included in the literature review. This research has significant value based on the limited amount of studies on how infectious diseases can severely impact Native American communities in the United States, leading to unnecessary and preventable suffering and death. As a result, research on viable best practices is needed on the best practices in public health surveillance and epidemic response in Native American and Indigenous American communities through historical events and critical incident analysis.Practical implicationsResearch on public health surveillance and epidemic response in Native American communities can provide insights into the challenges faced by these communities and help identify potential solutions to improve their capacity to detect, respond to and prevent infectious diseases using innovative approaches and new technologies like AI.Originality/valueMore research on public health surveillance and epidemic response can inform policies and interventions to improve access to healthcare for Native American populations, such as increasing availability of healthcare services, providing culturally appropriate health education and improving communication between providers and patients. By providing better public health surveillance and response capacity, research can help reduce the burden of infectious diseases in Native American communities and ultimately lead to improved public health outcomes.