Railway Catenary Condition Monitoring: A Systematic Mapping of Recent Research

In this paper, a different approach to the traditional literature review-literature systematic mapping-is adopted to summarize the progress in the recent research on railway catenary system condition monitoring in terms of aspects such as sensor categories, monitoring targets, and so forth. Importantly, the deep interconnections among these aspects are also investigated through systematic mapping. In addition, the authorship and publication trends are also examined. Compared to a traditional literature review, the literature mapping approach focuses less on the technical details of the research but reflects the research trends, and focuses in a specific field by visualizing them with the help of different plots and figures, which makes it more visually direct and comprehensible than the traditional literature review approach.

Digital technologies for behavioral change in sustainability domains: a systematic mapping review

Sustainability research has emerged as an interdisciplinary area of knowledge about how to achieve sustainable development, while political actions toward the goal are still in their infancy. A sustainable world is mirrored by a healthy environment in which humans can live without jeopardizing the survival of future generations. The main aim of this contribution was to carry out a systematic mapping (SM) of the applications of digital technologies in promoting environmental sustainability. From a rigorous search of different databases, a set of more than 1000 studies was initially retrieved and then, following screening criteria based on the ROSES (RepOrting standards for Systematic Evidence Syntheses) procedure, a total of N = 37 studies that met the eligibility criteria were selected. The studies were coded according to different descriptive variables, such as digital technology used for the intervention, type of sustainable behavior promoted, research design, and population for whom the intervention was applied. Results showed the emergence of three main clusters of Digital Technologies (i.e., virtual/immersive/augmented reality, gamification, and power-metering systems) and two main Sustainable Behaviors (SBs) (i.e., energy and water-saving, and pollution reduction). The need for a clearer knowledge of which digital interventions work and the reasons why they work (or do not work) does not emerge from the outcomes of this set of studies. Future studies on digital interventions should better detail intervention design characteristics, alongside the reasons underlying design choices, both behaviourally and technologically. This should increase the likelihood of the successful adoption of digital interventions promoting behavioral changes in a more sustainable direction.

Differences in the distribution of triggers among resting state networks in patients with juvenile myoclonic epilepsy explained by network analysis

Background

Juvenile myoclonus epilepsy (JME) is an idiopathic generalized epilepsy syndrome. Functional connectivity studies based on graph theory have demonstrated changes in functional connectivity among different brain regions in patients with JME and healthy controls. However, previous studies have not been able to clarify why visual stimulation or increased cognitive load induces epilepsy symptoms in only some patients with JME.

Methods

This study constructed a small-world network for the visualization of functional connectivity of brain regions in patients with JME, based on system mapping. We used the node reduction method repeatedly to identify the core nodes of the resting brain network of patients with JME. Thereafter, a functional connectivity network of the core brain regions in patients with JME was established, and it was analyzed manually with white matter tracks restriction to explain the differences in symptom distribution in patients with JME.

Results

Patients with JME had 21 different functional connections in their resting state, and no significant differences in their distribution were noted. The thalamus, cerebellum, basal ganglia, supplementary motor area, visual cortex, and prefrontal lobe were the core brain regions that comprised the functional connectivity network in patients with JME during their resting state. The betweenness centrality of the prefrontal lobe and the visual cortex in the core functional connectivity network of patients with JME was lower than that of the other brain regions.

Conclusion

The functional connectivity and node importance of brain regions of patients with JME changed dynamically in the resting state. Abnormal discharges originating from the thalamus, cerebellum, basal ganglia, supplementary motor area, visual cortex, and prefrontal cortex are most likely to lead to seizures in patients with JME. Further, the low average value of betweenness centrality of the prefrontal and visual cortices explains why visual stimulation or increased cognitive load can induce epileptic symptoms in only some patients with JME.

Model-driven engineering of safety and security software systems: A systematic mapping study and future research directions

This article presents a systematic mapping study on the model-driven engineering of safety and security concerns in software systems. Combined modeling and development of both safety and security concerns is an emerging field of research as both concerns affect one another in unique ways. Our mapping study provides an overview of the current state of the art in this field. This study carefully selected 143 publications out of 27,259 relevant papers through a rigorous and systematic process. This study then proposes and answers questions such as frequently used methods and tools and development stages where these concerns are typically investigated in application domains. Additionally, we identify the community's preference for publication venues and trends. The discussion on obtained results also features the gained insights and future research directions.

Systematic map of the most recent evidence (2010-2019) on ruminant production-limiting disease prevalence and associated mortality in Ethiopia

Background

Ethiopia's livestock sector supports the livelihoods of millions of smallholder farmers. However, despite the improvements of recent years, livestock productivity remains low due to critical constraints, including infectious diseases. The aim of this study was to collate and synthesize the published evidence on ruminant disease frequency and disease-associated mortality in Ethiopia, by identifying knowledge gaps and clusters in the literature to provide the basis for a decision-making tool.

Methods

Searches on both bibliographic and organization databases were conducted in English and were restricted to the period 2010-2019. Search results were screened for relevance at title, abstract and full text level.

Results

There were 716 articles identified relevant to the research question. The systematic map revealed an increased publication output from 2012-2017, compared to 2010-2011 and 2018-2019. Most studies were conducted in Oromia, Amhara and SNNPR. A substantial body of evidence was found for trypanosomosis, ectoparasite infestation, fasciolosis, nematodiasis, echinococcosis, and brucellosis.

Conclusion

This study suggests that despite the high output of epidemiological publications, further understanding of a considerable number of diseases is required and where evidence is abundant, synthesis of information should be carried out in order to better inform decisions on disease control priorities in the livestock sector.

Cannabidiol Safety Data: A Systematic Mapping Study

Robust assessment of potential adverse outcomes is needed to determine a safe cannabidiol (CBD) intake level for consumer use. To assist in identifying knowledge gaps and inform future decision making regarding systematic development of health-based benchmarks, we have developed the first systematic map of the safety-related information available for CBD in the peer-reviewed literature. Literature searching conducted according to a published protocol yielded a total of 4186 unique titles and abstracts published through 2020. These were screened using DistillerSR for studies that evaluated at least one potential health outcome following exposure to CBD and/or other hemp-derived substances. Additional categorization was conducted for a subset of 1001 studies in which CBD was administered alone. Studies that investigated CBD most frequently reported on neurological outcomes (532), carcinogenic outcomes (129), and pharmacokinetics (118). Less frequently studied categories included developmental and reproductive, hepatic, and gastrointestinal outcomes. The primary outcomes associated with the most adverse events reported in the literature were neurological (13) and developmental and reproductive (12). Based on the studies identified, reproductive and developmental toxicity was identified as a data gap that warrants conducting a well-designed, guideline-compliant reproductive toxicity study on CBD. In addition, immune outcomes were noted as a potential emerging research area for CBD. This systematic map provides an important baseline from which to identify topics that may be suitable for further research related to the safe use of CBD. Implications for future potential work and limitations of the mapping exercise are discussed.

Systematic mapping on availability, extent and distribution of mental health research in Malawi

Background

Mental health research is essential in the implementation of evidence-based interventions. This can be impeded by unavailability or limited access to local evidence in low- and middle-income countries (LMICs) such as Malawi.

Aim

The aim of this systematic mapping was to describe the availability, extent and distribution of mental health research conducted in Malawi.

Setting

The study was conducted at Kamuzu University of Health Sciences in Malawi.

Methods

A systematic search of four electronic databases from inception to September 2021 was carried out. All published and unpublished mental health studies in all languages were eligible for inclusion. Studies were screened against inclusion and exclusion criteria, and data were extracted, analysed and presented in tables and as a narrative synthesis.

Results

Cross-sectional studies (33.6%, n = 76) were found to be the most common study design for mental health research in Malawi. More studies were conducted on women (21.2%, n = 48) compared to men (1.3%, n = 3). Mental health research was concentrated in the southern region of the country (44.8%, n = 120) and in the three cities of Lilongwe (17.9%, n = 48), Blantyre (16.4%, n = 44) and Zomba (9.0%, n = 24).

Conclusion

This systematic mapping suggests that there are few studies on mental health in Malawi which are not equally distributed across the country. There is a pressing need to conduct more mental health research using robust designs across disciplines.

Contribution

Research on mental health is urgently needed to produce culturally acceptable data in Malawi.

Digital health for quality healthcare: A systematic mapping of review studies

Objective

To systematically catalogue review studies on digital health to establish extent of evidence on quality healthcare and illuminate gaps for new understanding, perspectives and insights for evidence-informed policies and practices.

Methods

We systematically searched PubMed database using sensitive search strings. Two reviewers independently conducted two-phase selection via title and abstract, followed by full-text appraisal. Consensuses were derived for any discrepancies. A standardized data extraction tool was used for reliable data mining.

Results

A total of 54 reviews from year 2014 to 2021 were included with notable increase in trend of publications. Systematic reviews constituted the majority (61.1%, (37.0% with meta-analyses)) followed by scoping reviews (38.9%). Domains of quality being reviewed include effectiveness (75.9%), accessibility (33.3%), patient safety (31.5%), efficiency (25.9%), patient-centred care (20.4%) and equity (16.7%). Mobile apps and computer-based were the commonest (79.6%) modalities. Strategies for effective intervention via digital health included engineering improved health behaviour (50.0%), better clinical assessment (35.1%), treatment compliance (33.3%) and enhanced coordination of care (24.1%). Psychiatry was the discipline with the most topics being reviewed for digital health (20.3%).

Conclusion

Digital health reviews reported findings that were skewed towards improving the effectiveness of intervention via mHealth applications, and predominantly related to mental health and behavioural therapies. There were considerable gaps on review of evidence on digital health for cost efficiency, equitable healthcare and patient-centred care. Future empirical and review studies may investigate the association between fields of practice and tendency to adopt and research the use of digital health to improve care.

An overview of data reduction solutions at the edge of IoT systems: a systematic mapping of the literature

Internet of Things (IoT) is a technology that connects devices of different types and characteristics through a network. The massive quantity of the heterogeneous generated data by the sensors imposes many challenges in making these data available to IoT applications. Data reduction and preprocessing are promising concepts that help to handle these data efficiently before storing them. Applying data reduction methods at the edge has emerged as an efficient solution. In such context, this systematic mapping is intended to investigate the data reduction solutions performed exclusively at the edge through a set of research questions. To reach this objective, we performed a Systematic Literature Mapping (SLM) in which 35 papers were strictly analyzed among a total of 853 articles. Finally, we present the results of these analyses answering questions that relate to the researcher’s used techniques, hardware technologies, used data type, and contributed objects to perform the data reduction techniques on the edge of the IoT systems.

What you need to know about scoping reviews

The increasing amount of evidence has caused an increasing amount of literature reviews. There are different types of reviews systematic reviews are the best known, and every type of review has different purposes. The scoping review is a recent model that aims to answer broad questions and identify and expose the available evidence for a broader question, using a rigorous and reproducible method. In the last two decades, researchers have discussed the most appropriate method to carry out scoping reviews, and recently the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for scoping reviews (PRISMA-ScR) reporting guideline was published. This is the fifth article of a methodological collaborative series of narrative reviews about general topics on biostatistics and clinical epidemiology. This review aims to describe what scoping reviews are, identify their objectives, differentiate them from other types of reviews, and provide considerations on how to carry them out.

Osseointegration Pharmacology: A Systematic Mapping Using Artificial Intelligence

Clinical performance of osseointegrated implants could be compromised by the medications taken by patients. The effect of a specific medication on osseointegration can be easily investigated using traditional systematic reviews. However, assessment of all known medications requires the use of evidence mapping methods. These methods allow assessment of complex questions, but they are very resource intensive when done manually. The objective of this study was to develop a machine learning algorithm to automatically map the literature assessing the effect of medications on osseointegration. Datasets of articles classified manually were used to train a machine-learning algorithm based on Support Vector Machines. The algorithm was then validated and used to screen 599,604 articles identified with an extremely sensitive search strategy. The algorithm included 281 relevant articles that described the effect of 31 different drugs on osseointegration. This approach achieved an accuracy of 95%, and compared to manual screening, it reduced the workload by 93%. The systematic mapping revealed that the treatment outcomes of osseointegrated medical devices could be influenced by drugs affecting homeostasis, inflammation, cell proliferation and bone remodeling. The effect of all known medications on the performance of osseointegrated medical devices can be assessed using evidence mappings executed with highly accurate machine learning algorithms.

Poverty and suicide research in low- and middle-income countries: systematic mapping of literature published in English and a proposed research agenda

Approximately 75% of suicides occur in low- and middle-income countries (LMICs) where rates of poverty are high. Evidence suggests a relationship between economic variables and suicidal behaviour. To plan effective suicide prevention interventions in LMICs we need to understand the relationship between poverty and suicidal behaviour and how contextual factors may mediate this relationship. We conducted a systematic mapping of the English literature on poverty and suicidal behaviour in LMICs, to provide an overview of what is known about this topic, highlight gaps in literature, and consider the implications of current knowledge for research and policy. Eleven databases were searched using a combination of key words for suicidal ideation and behaviours, poverty and LMICs to identify articles published in English between January 2004 and April 2014. Narrative analysis was performed for the 84 studies meeting inclusion criteria. Most English studies in this area come from South Asia and Middle, East and North Africa, with a relative dearth of studies from countries in Sub-Saharan Africa. Most of the available evidence comes from upper middle-income countries; only 6% of studies come from low-income countries. Most studies focused on poverty measures such as unemployment and economic status, while neglecting dimensions such as debt, relative and absolute poverty, and support from welfare systems. Most studies are conducted within a risk-factor paradigm and employ descriptive statistics thus providing little insight into the nature of the relationship. More robust evidence is needed in this area, with theory-driven studies focussing on a wider range of poverty dimensions, and employing more sophisticated statistical methods.

Contribution of the Nordic School of Public Health to the public mental health research field: a selection of research initiatives, 2007-2014

The field of public mental health has been defined by an expert group convened by the Nordic School of Public Health (NHV) as encompassing the experience, occurrence, distribution and trajectories of positive mental health and mental health problems and their determinants; mental health promotion and prevention of mental disorders; as well as mental health system policies, governance and organization. The mental health priorities of the Nordic Council of Ministers in 2010 signalled a mutual Nordic exchange of knowledge in the following thematic areas: child and adolescent mental health; working life and mental health; mental health in older people; strengthening the role of primary care in mental health service provision; stronger involvement of users and carers; and reduction of use of coercion in psychiatric care. Efforts to realize these priorities included commissioning the Nordic Research Academy for Mental Health, an NHV-based network of research institutions with a common interest in mental health research across the Nordic countries, to develop, organize and follow-up projects on public mental health. The research initiatives included mental health policy analysis, register-based research and research focused on the users' perspective in a Nordic context, as well as EU-level research policy analysis. The public mental health research conducted at the NHV highlighted the complexity of mental health and emphasized that the broad determinants of mental health need to be increasingly addressed in both public health research and practice. For example, health promotion actions, improved access to health care, a healthy alcohol policy and prevention of suicides and violence are all needed to reduce the life expectancy gap - a red flag indicator of public health inequalities. By exchanging knowledge and best practice, the collaboration between the Nordic countries contributes to the welfare of the region. The expertise and traditions developed at the NHV are of significant importance in this work.