Google Scholar to overshadow them all? Comparing the sizes of 12 academic search engines and bibliographic databases

Trends in shoulder arthroplasty research over the decades

Introduction

The aim of this study is to analyse the most cited articles in shoulder arthroplasty surgery and identify trends in topics by decade.

Methods

Journal Citation Index Web of Science (WoS) was searched to find articles using the search terms "shoulder arthroplasty", "shoulder hemiarthroplasty", "shoulder replacement" and "shoulder prosthesis". All articles were ranked according to most cited overall and most cited between 2022 and 2023, and then further analysed to find the most cited articles per decade. Articles were studies for topic, study type, evidence level and number of subjects. A second search was performed using Google Scholar (GS) with the same search terms.

Results

All the most cited articles were published in 4 orthopaedic journals. Citation counts were higher for GS searches than WoS for every article, by an average of 1.92 times. Each decade's most cited articles seemed to fit into a few broad topics, showing trends in that decade. The highest cited papers were generally low-level evidence studies.

Conclusion

Shoulder arthroplasty literature appears to follow trends throughout the decade. High quality evidence is lacking in the highest cited papers, but this study highlights the importance and value of these lower-evidence breakthrough studies, which have shaped shoulder arthroplasty surgery.

An Initial Scoping Review of Dysregulation of Mood, Energy, and Social Rhythms Syndrome (DYMERS) Regarding Burnout in Healthcare Professionals During COVID-19

Background/Objectives: Dysregulation of Mood, Energy, and Social Rhythms Syndrome (DYMERS) characterizes the poor regulation of biological (sleep/waking), social, and behavioral rhythms that affected the level of burnout in healthcare professionals during the pandemic in particular. The aim is to provide an initial scoping review of publications on this topic. Methods: The keywords "Stress Rhythms Dysregulation Bipolar Disorder Burnout DYMERS Healthcare professionals COVID-19" were searched on 9 December 2024 following PRISMA 2020 guidelines, using five primary databases (OVID, ProQuest, PubMed, Scopus, Web of Science), one register (Cochrane COVID-19 register), and one supplementary database (Google Scholar). Included were peer-reviewed publications. Excluded were duplicates, reports lacking either a research study or any keywords, or including irrelevant information regarding them. Results: The returns for all the databases were (n = 0) except for ProQuest (n = 4) and Google Scholar (n = 14). Of these, three ProQuest returns were duplicates of the Google Scholar search. The remaining report contained irrelevant information on healthcare professionals. The Google Scholar search results produced two relevant reports-neither duplicated with ProQuest. The excluded contained a duplicate in the search itself, three that did not mention healthcare professionals, two that contained irrelevant information concerning them, four returns that were not a research study, and three that were not peer-reviewed. Conclusions: The two studies published on this topic are by various members of the same investigating institution. DYMERS has provided valuable insights regarding burnout in healthcare professionals. The suggestion is for further DYMERS research by this team and others, anticipating future pandemics.

The Cow Paradox-A Scoping Review of Dairy Bovine Welfare in India Using the Five Freedoms

India, the leading producer and consumer of milk, houses 307 million cattle, nearly a third of the world's total. A ban on cow slaughter exists in the majority of the Indian states. Intricately interweaved with the disputable yet publicly acknowledged sentiment of the cow's sacrality, and with the animal's utility value, the ban is capable of influencing the humans' treatment of the dairy animals. Against this background, this research aims to evaluate the welfare state of the Indian dairy bovines by analyzing their welfare at various life phases using the Five Freedoms framework. A scoping review of the relevant published studies that met all inclusion criteria was conducted using bibliographic databases Google Scholar, Scopus, and ScienceDirect. Data were extracted and organized using Microsoft Excel, version 22H2. The literature reviewed demonstrates a loss of one or more freedoms in multiple phases of the bovines' productive lives, and a parallel loss of two or more freedoms in their post-productive lives; indicating the role of religious values, legislation, and the animal's economic utility in their treatment. This study highlights the role of culturally shaped human influences on dairy husbandry and creates grounds for studying human-bovine relationships through interdisciplinary lenses to generate culturally viable solutions to improve cattle welfare and promote a sustainable inter-species coexistence.

A Systematic Review of Controlled Trials: Can Patient Adherence to Antibiotics Be Improved Through Pharmaceutical Communication-Based Interventions?

BACKGROUND

Patient adherence to antibiotics is vital to ensure treatment efficiency.

OBJECTIVE

To evaluate the impact of pharmacist communication-based interventions on patients' adherence to antibiotics.

METHODS

A systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for systematic review (PRISMA) checklist and flow diagram. Controlled trials were included.

DATABASES

PubMed, Cochrane Library, SciELO, and Google Scholar. Quality, risk of bias, and confidence in cumulative evidence were evaluated.

RESULTS

Twenty-one trials were selected, with better patient adherence for the intervention than the control group. However, statistically significant differences were only found in two-thirds of these trials. The use of educational leaflets, personalized delivery of antibiotics, follow-up measures, and structured counseling were among the most impactful and significant interventions. The fact that community and/or hospital pharmacists were required to intervene in both groups (e.g., intervention vs. control/usual care) may explain that statistically significant differences were not achieved in all trials. Moderate quality issues and/or risk of bias were detected in some of the evaluated trials. The cumulative evidence was classified as high to moderate, which was considered acceptable.

CONCLUSION

It seems that more intense and structured pharmacist interventions can improve patient adherence to antibiotics.

AI for Analyzing Mental Health Disorders Among Social Media Users: Quarter-Century Narrative Review of Progress and Challenges

BACKGROUND

Mental health disorders are currently the main contributor to poor quality of life and years lived with disability. Symptoms common to many mental health disorders lead to impairments or changes in the use of language, which are observable in the routine use of social media. Detection of these linguistic cues has been explored throughout the last quarter century, but interest and methodological development have burgeoned following the COVID-19 pandemic. The next decade may see the development of reliable methods for predicting mental health status using social media data. This might have implications for clinical practice and public health policy, particularly in the context of early intervention in mental health care.

OBJECTIVE

This study aims to examine the state of the art in methods for predicting mental health statuses of social media users. Our focus is the development of artificial intelligence-driven methods, particularly natural language processing, for analyzing large volumes of written text. This study details constraints affecting research in this area. These include the dearth of high-quality public datasets for methodological benchmarking and the need to adopt ethical and privacy frameworks acknowledging the stigma experienced by those with a mental illness.

METHODS

A Google Scholar search yielded peer-reviewed articles dated between 1999 and 2024. We manually grouped the articles by 4 primary areas of interest: datasets on social media and mental health, methods for predicting mental health status, longitudinal analyses of mental health, and ethical aspects of the data and analysis of mental health. Selected articles from these groups formed our narrative review.

RESULTS

Larger datasets with precise dates of participants' diagnoses are needed to support the development of methods for predicting mental health status, particularly in severe disorders such as schizophrenia. Inviting users to donate their social media data for research purposes could help overcome widespread ethical and privacy concerns. In any event, multimodal methods for predicting mental health status appear likely to provide advancements that may not be achievable using natural language processing alone.

CONCLUSIONS

Multimodal methods for predicting mental health status from voice, image, and video-based social media data need to be further developed before they may be considered for adoption in health care, medical support, or as consumer-facing products. Such methods are likely to garner greater public confidence in their efficacy than those that rely on text alone. To achieve this, more high-quality social media datasets need to be made available and privacy concerns regarding the use of these data must be formally addressed. A social media platform feature that invites users to share their data upon publication is a possible solution. Finally, a review of literature studying the effects of social media use on a user's depression and anxiety is merited.

Automatic Path-Planning Techniques for Minimally Invasive Stereotactic Neurosurgical Procedures-A Systematic Review

This review systematically examines the recent research from the past decade on diverse path-planning algorithms tailored for stereotactic neurosurgery applications. Our comprehensive investigation involved a thorough search of scholarly papers from Google Scholar, PubMed, IEEE Xplore, and Scopus, utilizing stringent inclusion and exclusion criteria. The screening and selection process was meticulously conducted by a multidisciplinary team comprising three medical students, robotic experts with specialized knowledge in path-planning techniques and medical robotics, and a board-certified neurosurgeon. Each selected paper was reviewed in detail, and the findings were synthesized and reported in this review. The paper is organized around three different types of intervention tools: straight needles, steerable needles, and concentric tube robots. We provide an in-depth analysis of various path-planning algorithms applicable to both single and multi-target scenarios. Multi-target planning techniques are only discussed for straight tools as there is no published work on multi-target planning for steerable needles and concentric tube robots. Additionally, we discuss the imaging modalities employed, the critical anatomical structures considered during path planning, and the current status of research regarding its translation to clinical human studies. To the best of our knowledge and as a conclusion from this systematic review, this is the first review paper published in the last decade that reports various path-planning techniques for different types of tools for minimally invasive neurosurgical applications. Furthermore, this review outlines future trends and identifies existing technology gaps within the field. By highlighting these aspects, we aim to provide a comprehensive overview that can guide future research and development in path planning for stereotactic neurosurgery, ultimately contributing to the advancement of safer and more effective neurosurgical procedures.

Synthetic composites versus calcium phosphate cements in bone regeneration: A narrative review

BACKGROUND

When the natural process of bone remodeling is disturbed, the need arises for a stimulant material in order to enhance the formation of a new healthy and strong osseous tissue to replace the damaged one. Recent studies have reported synthetic biomaterials to be a very good option for supporting bone regeneration.

STUDY DESIGN

Narrative review.

OBJECTIVE

This review aims to provide a brief presentation of two of the most recently developed synthetic biomaterials, i.e. calcium phosphate cements and synthetic composites, that are currently being used in bone regeneration with promising results.

METHODS

Literature searches using broad terms such as "bone regeneration," "biomaterials," "synthetic composites" and "calcium phosphate cements" were performed using PubMed. The osteal cells state of the art was explored by searching topic-specific full text keywords using Google Scholar.

CONCLUSIONS

Synthetic polymers such as PCL (poly-ε-caprolactone) and PLGA (poly lactic-co-glycolic acid) can improve the effectiveness of biomaterials like HA (hydroxyapatite) and BG (bioglass). Calcium phosphate, although being a suitable material for stimulating bone regeneration, needs an adjuvant in order to be effective in larger bone defects.

The need for robust critique of arts and health research: the treatment of the Gene Cohen et al. (2006) paper on singing, wellbeing and health in subsequent evidence reviews

BACKGROUND

This paper considers weaknesses in a study by Cohen et al. (2006) on the impacts of community singing on health. These include high demand characteristics, lack of attention to attrition, flawed statistical analysis, and measurement. Nevertheless, the study is uncritically cited, in evidence reviews, with findings taken at face value.

METHODS

Google Scholar, SCOPUS and BASE citation functions for Cohen et al. identified 32 evidence reviews in peer-reviewed journals. Eleven of these reviews, published between 2010 and 2023, focused on creative arts interventions.

RESULTS

We demonstrate limitations in the Cohen et al. research which undermine the conclusions they reach regarding the health benefits of group singing. Subsequent evidence reviews take the findings at face value and offer little critical commentary.

DISCUSSION

We consider what is needed to improve evidence reviews in the field of creative arts and health research.

CONCLUSIONS

A more robust approach is needed in reviewing research evidence in the field of arts and health. The Cohen et al. paper is not suitable for inclusion in future evidence reviews.

A comprehensive scan of psychological disciplines through self-identification on Google Scholar: Relative endorsement, topical coverage, and publication patterns

Psychological researchers often identify with psychological disciplines, such as social or clinical psychology. The current study analyzed Google Scholar profiles from 6,532 international scientists who attracted more than 100 citations in 2019 and self-identified with at least one of 10 common psychological disciplines (psychoanalysis; clinical psychology; (cognitive) neuroscience; developmental psychology; educational psychology; experimental psychology; biological psychology/psychophysiology; mathematical psychology/psychometrics; social psychology; personality psychology). Results indicated that almost half of all psychologists self-identified with either social psychology or cognitive neuroscience. There were 487 topics that were endorsed at least five times, ranging from highly discipline-specific topics to more integrative ones, such as emotion and personality. We also factor-analyzed frequencies of topical endorsement across disciplines and found two factors, which we interpreted as reflecting correlational and experimental research traditions (with social psychology being the largest discipline within the former tradition and cognitive neuroscience being the largest discipline within the latter tradition). Differences in productivity and impact were also found, with researchers identifying with psychometrics being the most productive and researchers identifying with personality psychology, cognitive neuroscience, and multidisciplinary psychology as the most impactful in terms of citation increases per additional output. Recommendations for promoting cross-fertilization across psychological disciplines are formulated.

Taming the wicked problem of climate change with "virtuous challenges": An integrated management heuristic

Climate change is widely regarded as a "wicked problem" due to its complexity, interconnectedness, and the numerous stakeholders involved in finding a solution. The wickedness of climate change is further compounded by effects which are often nonlinear and uncertain, making it difficult to predict and manage its impacts. This paper builds on the growing body of knowledge on wicked problems by proposing an integrated heuristic that facilitates management in diverse economic and sociopolitical contexts by capturing the origins and dynamics of contemporary global socioenvironmental wicked problems and their potential resolution. The heuristic can also serve as the basis for a holistic wicked problem macro-theory. It is recognised that wicked problems such as climate change amplify into crisis states due to poverty and rigidity traps embedded within a system panarchy, which impede effective action for adaptation and mitigation. The concept of the "virtuous challenge" is embedded within the heuristic as a vital link in governance to enable effective leadership in the management of contemporary wicked problems through focused incremental transformation and a shift to an "agrowth" imperative. It is acknowledged that collaboration between stakeholders in the Global North and Global South is necessary for successful responses to virtuous challenges.

Improving waste management by focussing on goals: A mini review of the publication sector

The rationale for this article is that often, decision-makers in waste management (wm) tend to neglect goals and confuse them with means like circular economy or waste hierarchy. Because clear goals are crucial for developing effective wm strategies, the objectives of this mini review are (1) to clarify wm goals in a historical context by a literature review, (2) to investigate how (a) these goals have been observed in general scientific publishing and (b) specifically in Waste Management and Research (WM&R) and (3) to recommend measures for better consideration of wm goals by the publication sector. Based on general as well as specific bibliographic analyses of databases in Scopus and Google Scholar, the study confirms that little attention was given to wm goals in scientific publishing. For instance, during the first 40 years of WM&R, 63 publications and eight editorials were found containing terms related to wm goals, but only 14 respectively and eight explicitly discuss wm goals. We recommend focussing more on wm goals. Editors, authors, reviewers and professional associations in the field of wm should become aware of this challenge and react. If WM&R decides to become a strong platform for the issue wm goals, it will be in a unique selling proposition and more authors, articles and readers are likely to result. This article aims at setting a starting signal for such an endeavour.

Distribution of sika deer (Cervus nippon) and the bioclimatic impact on their habitats in South Korea

Invasive species and climate change are primary factors influencing biodiversity, and examining the behavior of invasive species is essential for effective conservation management. Here, we report the global distribution of the sika deer (Cervus nippon) based on locations reported in published literature (Google Scholar), the Global Biodiversity Information Facility (GBIF) database, and the International Union for Conservation of Nature report. We used the maximum entropy (Maxent) model to examine the impact of climate change on sika deer habitats in South Korea based on GBIF occurrence data and WorldClim bioclimatic variables. Habitat suitability analysis was performed using the Maxent model under Representative Concentration Pathways (RCPs) 4.5 and 8.5 (for predicted climatic conditions in both 2050 and 2070) to project the effects of different climate change scenarios on South Korean sika deer habitats. We identified that the sika deer is distributed in 39 countries worldwide. Due to climate change effects, South Korean sika deer habitats will decline by approximately 24.98% and 20.63% (under RCP 4.5) and by 50.51% and 57.35% (under RCP 8.5) by 2050 and 2070, respectively. Our findings shed light on sika deer ecology and provide reference data for future conservation management strategies and policy design.

Broad vs. narrow traits: a scoping review of measuring personality traits in teacher selection using the situational judgment test

Situational Judgment Tests (SJTs) have gained popularity and are commonly used as a measurement technique in a variety of professions, particularly those that include hiring, promoting, and professional development. In various educational sectors around the world, SJTs are being utilized as a measure by which to choose individuals who possess the requisite non-academic attributes for the profession. The objective of this review is to identify and analyze the traits that are measured in teacher selection using SJTs, in terms of both broad and narrow traits. This review uses a scoping review approach comprising five stages which are: identifying the research question, identifying relevant studies, selecting the studies, charting the data and reporting the results. Seven empirical research studies on teacher selection using SJTs were identified in which broad and narrow traits are used differently in selection. In the studies, a broad trait-conscientiousness-and seven narrow traits-organization and planning; empathy and communication; adaptability and resilience; mindset; emotional regulation; professional ethics; and enthusiasm and motivation-were recognized. Analysis revealed, in line with other prior studies, that the traits discovered tended to be used as the foundation for teacher selection criteria. The use of broad and narrow traits as the basis for teacher selection criteria has implications for the selection of the "best" teacher candidates because both broad and narrow traits generally do not accurately measure the precise characteristics needed. Future studies should focus on measuring more precise characteristics without overlap between the targeted characteristics, in light of the conclusions from this review.

The top 100 cited articles in menstrual health among adolescent girls: a citation analysis

BACKGROUND

Menstrual health is an important public health concern where it is still considered a taboo, and adolescent girls often lack knowledge about menstrual health, face limited access to sanitation facilities, and struggle with the affordability of sanitary materials. Every year numerous articles are published; however, only a few of them would be influential in the evolution of a particular field. The number of citations received by an article serves as a quality factor for the impact of the article in a particular field. Citation analysis analyses the relationship between citations received by articles. From the literature search, no citation analysis was conducted on menstrual health. Hence the objective of the study was to identify the articles which received hundred or more citations and also to identify the leading countries, journals, study designs, and departments conducting research on menstrual health.

METHODS

Citation analysis was done with search terms pertaining to adolescent and menstrual health using Google Scholar as a database in Publish or Perish software. The articles retrieved were exported to Microsoft Excel. Articles that received a hundred or more citations were screened for the type of article, department, and country where the study was conducted. A descriptive analysis of the hundred or more cited articles was done in Microsoft Excel.

RESULTS

A total of 982 articles pertaining to menstrual health among adolescent girls were retrieved. There were hundred articles with hundred and more citations pertaining to the menstrual health of adolescent girls. Cross-sectional study design, Obstetrics and Gynaecology department, India and USA countries, and PLOS ONE journal had the most citations in research on menstrual health among adolescent girls. The top ten articles were on menorrhagia, menstrual hygiene practices, Water, Sanitation and hygiene (WASH), stigma on menstruation, and education on menstrual health.

CONCLUSION

The hundred cited articles on menstrual health among adolescent girls were mainly from high-income countries and were of more observational in nature than interventional. Thus, highlighting the need to strengthen experimental studies on the menstrual health of adolescent girls in Lower-middle-income countries.

The Application of Biometric Approaches in Agri-Food Marketing: A Systematic Literature Review

A challenge in social marketing studies is the cognitive biases in consumers' conscious and self-reported responses. To help address this concern, biometric techniques have been developed to obtain data from consumers' implicit and non-verbal responses. A systematic literature review was conducted to explore biometric applications' role in agri-food marketing to provide an integrated overview of this topic. A total of 55 original research articles and four review articles were identified, classified, and reviewed. It was found that there is a steady growth in the number of studies applying biometric approaches, with eye-tracking being the dominant method used to investigate consumers' perceptions in the last decade. Most of the studies reviewed were conducted in Europe or the USA. Other biometric techniques used included facial expressions, heart rate, body temperature, and skin conductance. A wide range of scenarios concerning consumers' purchase and consumption behaviour for agri-food products have been investigated using biometric-based techniques, indicating their broad applicability. Our findings suggest that biometric techniques are expanding for researchers in agri-food marketing, benefiting both academia and industry.

Acute, chronic, and post-mortem toxicity: a review focused on three different classes of new psychoactive substances

PURPOSE

New psychoactive substances (NPS) are not controlled under the Single Convention on Narcotic Drugs of 1961 or the 1971 Convention, but they may pose a public health threat. Knowledge of the main properties and toxicological effects of these substances is lacking. According to the current Drugs Law (Law n. 11.343/2006), the Brazilian Surveillance Agency issues directives for forbidden substances in Brazil, and structural classes of synthetic cannabinoids, cathinones, and phenylethylamines are considered illicit drugs. Considering that data on these controlled substances are scattered, the main objective of this work was to collect and organize data to generate relevant information on the toxicological properties of NPS.

METHODS

We carried out a literature review collecting information on the acute, chronic, and post-mortem toxicity of these classes of NSP. We searched info in five scientific databases considering works from 2017 to 2021 and performed a statistical evaluation of the data.

RESULTS

Results have shown a general lack of studies in this field given that many NPS have not had their toxicity evaluated. We observed a significant difference in the volume of data concerning acute and chronic/post-mortem toxicity. Moreover, studies on the adverse effects of polydrug use are scarce.

CONCLUSIONS

More in-depth information about the main threats involving NPS use are needed.

Bibliometric Analysis of Ophthalmic Journals

Importance

The primary vehicle for reporting and testing advances in eye care is refereed ophthalmic journals, which can be characterized using targeted bibliometric analyses.

Objective

To identify all ophthalmic journals and evaluate citation metrics relating to articles, journals, authors, institutions, and countries published therein.

Design and Setting

A bibliometric analysis was undertaken of all ophthalmic journals included in the Scopus database (Elsevier). The search was restricted to all article types published in ophthalmic journals in English from inception through November 18, 2022. After excluding general medical journals, journals published in a language other than English, and spurious titles unrelated to the ophthalmic field, the Scopus database was found to list 335 ophthalmic journal titles that have published 471 184 articles, constituting the data set for this analysis. The 20 most highly cited articles were identified. Rank-order lists by article count were assembled for journals, authors, institutions, and countries.

Main Outcomes and Measures

An h-index for ophthalmic journal articles was derived from citations and article counts for each constituent of each category.

Results

The h-index for ophthalmic journal articles was determined to be 494. The journal with the highest h-index was Ophthalmology (h-index, 297). The journal with the greatest number of articles was American Journal of Ophthalmology (38 441 articles). The most highly cited article was by Quigley and Broman, 2006 (5147 citations), concerning the epidemiology of glaucoma. The author with the highest h-index for ophthalmic journal articles was Ronald Klein, MD (h-index, 126), and the most prolific was Carol L. Shields, MD (1400 articles). Johns Hopkins University (h-index, 215) was the institution with the highest h-index for ophthalmic journal articles, and Harvard University was the most prolific (10 071 articles). The United States was the nation with the highest h-index for ophthalmic journal articles (h-index, 444) and was the most prolific (180 017 articles).

Conclusions and Relevance

In this study, the most highly cited articles published in ophthalmic journals were revealed, as well as the leading journals, authors, institutions, and countries. While excluding ophthalmology articles in general medical journals, this investigation affords a means of identifying highly cited authors, institutions, and countries which individuals or institutions can use as a guide regarding contributions to the field.

Open-Source Implementations of the Reactive Asset Administration Shell: A Survey

The use of open-source software is crucial for the digitalization of manufacturing, including the implementation of Digital Twins as envisioned in Industry 4.0. This research paper provides a comprehensive comparison of free and open-source implementations of the reactive Asset Administration Shell (AAS) for creating Digital Twins. A structured search on GitHub and Google Scholar was conducted, leading to the selection of four implementations for detailed analysis. Objective evaluation criteria were defined, and a testing framework was created to test support for the most common AAS model elements and API calls. The results show that all implementations support at least a minimal set of required features while none implement the specification in all details, which highlights the challenges of implementing the AAS specification and the incompatibility between different implementations. This paper is therefore the first attempt at a comprehensive comparison of AAS implementations and identifies potential areas for improvement in future implementations. It also provides valuable insights for software developers and researchers in the field of AAS-based Digital Twins.

Machine learning-based clinical decision support systems for pregnancy care: A systematic review

BACKGROUND

Clinical decision support systems (CDSSs) can provide various functions and advantages to healthcare delivery. Quality healthcare during pregnancy and childbirth is of vital importance, and machine learning-based CDSSs have shown positive impact on pregnancy care.

OBJECTIVE

This paper aims to investigate what has been done in CDSSs in the context of pregnancy care using machine learning, and what aspects require attention from future researchers.

METHODS

We conducted a systematic review of existing literature following a structured process of literature search, paper selection and filtering, and data extraction and synthesis.

RESULTS

17 research papers were identified on the topic of CDSS development for different aspects of pregnancy care using various machine learning algorithms. We discovered an overall lack of explainability in the proposed models. We also observed a lack of experimentation, external validation and discussion around culture, ethnicity and race from the source data, with most studies using data from a single centre or country, and an overall lack of awareness of applicability and generalisability of the CDSSs regarding different populations. Finally, we found a gap between machine learning practices and CDSS implementation, and an overall lack of user testing.

CONCLUSION

Machine learning-based CDSSs are still under-explored in the context of pregnancy care. Despite the open problems that remain, the few studies that tested a CDSS for pregnancy care reported positive effects, reinforcing the potential of such systems to improve clinical practice. We encourage future researchers to take into consideration the aspects we identified in order for their work to translate into clinical use.

Early Childhood Learning Losses during COVID-19: Systematic Review

The global education system has been significantly disrupted by COVID-19, and researchers are concerned with the impact this has had on students who have experienced learning loss. This study aims to systematically review the articles published in Science Direct, Wiley Online Library, SpringerLink, Sage Journals, Taylor & Francis Online, ERIC, JSTOR and Google Scholar on learning loss experienced by students in early childhood during the COVID-19 pandemic between 2020 and 2023. We conducted a systematic literature review of 33 articles published in the Web of Science (WOS), ERIC and Google Scholar electronic databases between 2020 and 2023. The review found a significant increase in early childhood learning losses. In addition, the present study found an increase in inequality, while certain demographic groups experienced more learning loss than others.

A Review of Design and Evaluation Practices in Mobile Text Entry for Visually Impaired and Blind Persons

Millions of people with vision impairment or vision loss face considerable barriers in using mobile technology and services due to the difficulty of text entry. In this paper, we review related studies involving the design and evaluation of novel prototypes for mobile text entry for persons with vision loss or impairment. We identify the practices and standards of the research community and compare them against the practices in research for non-impaired persons. We find that there are significant shortcomings in the methodological and result-reporting practices in both population types. In highlighting these issues, we hope to inspire more and better quality research in the domain of mobile text entry for persons with and without vision impairment.

Plastic waste reprocessing for circular economy: A systematic scoping review of risks to occupational and public health from legacy substances and extrusion

The global plastics reprocessing sector is likely expand as the circular economy becomes more established and efforts to curb plastic pollution increase. Via a critical systematic scoping review (PRISMA-ScR), we focused on two critical challenges for occupational and public health that will require consideration along with this expansion: (1) Legacy contamination in secondary plastics, addressing the risk of materials and substances being inherited from the previous use and carried (circulated or transferred) through into new products when reprocessed material enters its subsequent use phase (recycled, secondary plastic); and, (2) Extrusion of secondary plastics during the final stage of conventional mechanical reprocessing. Based on selected literature, we semi-quantitatively assessed nine risk scenarios and ranked them according to the comparative magnitude of risk to human health. Our analysis highlights that despite stringent regulation, industrial diligence and enforcement, occasionally small amounts of potentially hazardous substances contained in waste plastics are able to pass through established safeguards and re-enter (cascade into) the next use phase (product cycle) after being recycled. Although many of these 'inherited' chemical substances are present at concentrations unlikely to pose a serious and imminent threat, their existence may indicate a wider or possible increase in pollution dispersion. Our assessment indicates that the highest risk results from exposure to these substances during extrusion by mechanical reprocessors in contexts where only passive ventilation, dilution and dispersion are used as control measures. Our work sets the basis to inform improved future risk management protocols for a non-polluting circular economy for plastics.

Using Machine Learning to make nanomaterials sustainable

Sustainable development is a key challenge for contemporary human societies; failure to achieve sustainability could threaten human survival. In this review article, we illustrate how Machine Learning (ML) could support more sustainable development, covering the basics of data gathering through each step of the Environmental Risk Assessment (ERA). The literature provides several examples showing how ML can be employed in most steps of a typical ERA.A key observation is that there are currently no clear guidance for using such autonomous technologies in ERAs or which standards/checks are required. Steering thus seems to be the most important task for supporting the use of ML in the ERA of nano- and smart-materials. Resources should be devoted to developing a strategy for implementing ML in ERA with a strong emphasis on data foundations, methodologies, and the related sensitivities/uncertainties. We should recognise historical errors and biases (e.g., in data) to avoid embedding them during ML programming.

Assessing intervention effectiveness at promoting voluntary conservation practice adoption in agrienvironments

Although implementing conservation practices on private farms and forests can produce substantial environmental benefits, these practices are not being adopted widely enough to result in measurable improvements at regional scales. Researchers have investigated the production and program factors influencing producer choices to voluntarily adopt these practices. However, the findings of reviews are inconsistent, raising questions about review methods, including the omission of relevant variables. Further, applying lessons from past work to promote adoption is difficult because many reviews investigated dispositional or demographic variables that practitioners and policy makers cannot directly observe or influence. We conducted a new review of 146 empirical studies that tested the effects of different interventions (e.g., financial incentives, outreach events, and nudges) on increasing the likelihood of producers adopting conservation practices. We conducted a metaregression of quantitative studies from diverse disciplines that filtered studies by quality (i.e., use of randomization and clear analysis reporting). We synthesized these results with a thematic analysis of qualitative studies on producer perspectives about conservation practices. Financial incentives had the strongest evidence of increasing producers' likelihood of adopting conservation practices (odds ratio 1.86, p < 0.05). However, this effect was only apparent after filtering by study quality, which also improved model fit and identified significant regional differences (odds ratio -1.69, p < 0.01). The thematic review of qualitative studies revealed that peer groups may be successful in reinforcing adoption behaviors due to homophily effects and that financial incentives not only offset implementation costs but also mitigated perceived risks of adoption. Given the problems we encountered in testing hypotheses about the magnitude of variability explained by intervention types and practice characteristics, we recommend additional experimental and longitudinal work that accounts for financial incentives and pairs qualitative and quantitative data to clarify relationships between program design and practice adoption rates.

Towards the engagement of citizens in SOSTs decision-making: participatory models setting a common ground for border surveillance and respect of fundamental rights. Findings from ARESIBO H2020 project

ARESIBO is an H2020 project aiming to improve the efficiency of border surveillance systems by providing the operational teams, as well as the tactical command and control level with accurate and comprehensive information related to border control by different perspectives. Human Rights Groups' (HRGs) and Civil Society Organisations' (CSOs) involvement and participation in decision making related Surveillance-Oriented Security Technologies (SOSTs) for border surveillance is considered as a key-factor to ensure the coexistence of two only apparently opposite needs: security and respect of fundamental rights (i.e., privacy, refugees etc.). Starting from this general approach, the paper represents the second part of a research diptych dedicated to present the main achievements and methods proposed by ARESIBO to enhance participation in border surveillance. It outlines the ARESIBO Participatory Model (APM) as a tool to improve HRGs, CSOs, and ultimately citizens' involvement related to border surveillance in general and the adoption of specific SOSTs for borders' control. The first part of the paper introduces some key elements included in the ARESIBO desk research that led to the elaboration of the APM (i.e., literature review, semantic analysis), describing who were the targets of that approach (i.e., stakeholders, end-users, actors). After a contextualization on the three interlaced dimensions of surveillance, security and privacy related borders' control, the paper presents the three components of the methodological framework within which this citizens' involvement process has been developed (i.e., ARESIBO Participation Framework, ARESIBO Participation Strategy, ARESIBO Participation Action Plan). In the conclusions, by outlining the first partial application of the model within the ARESIBO framework, the paper argues that APM can represent a pilot for a more structured and duplicable participatory model, also through additional research regarding participatory models applied to SOSTs development processes.

Association of ResearchGate research influence score with other metrics of top cited sports biomechanics scholars

Study aim: Scientific networking sites are increasingly popular in connecting researchers and providing influence metrics, however the research on measures like the ResearchGate Research Influence Score (RG RIS) are limited. This study documented the associations between RG RIS, usage, and prestige metrics from Google Scholar (GS), RG, and Scopus for top cited scientists in sports biomechanics.

Material and methods: Research usage (total citations: C), prestige (Hirsch index: h), and RG RIS metrics were extracted from GS, RG, and Scopus for the top sixty cited scholars that used either the label “’73ports biomechanics” or “sport biomechanics” in their GS Profile.

Results: RG RIS was strongly correlated (r = 0.796–0.895) with all usage and prestige metrics. There were very strong correlations among the three citation metrics (r = 0.929–0.967) and among the three h indexes (r = 0.960–0.974).

Conclusions: The recent RG RIS does not provide unique scientific influence information about sport(s) biomechanics researchers beyond common citation metrics. The RG RIS was strongly associated with total citation and h-index values from GS, RG, and Scopus for top 60 cited sport(s) biomechanics researchers based on GS Profiles. The scientific usage and prestige factors previously reported in bibliometric research was supported by very strong associations among the three C and among the three h index values from these two scientific networking and one database service.

Effects of Artificial Electromagnetic Fields on Bees: A Global Review

&lt;b&gt;Background and Objective:&lt;/b&gt; Electromagnetic fields coming from electric and electronic devices, mobile telephony antennas, or electrical installations are continuously growing and are in direct relation with population growth. In that sense, the purpose of this investigation was to determine what are the effects of artificial electromagnetic fields on the behavior and viability of bees through a global perspective (1968-2022). &lt;b&gt;Materials and Methods:&lt;/b&gt; The methodology used in this research consisted of the review of literature obtained from platforms such as Scopus, EBSCO, IEEE, Wiley, Google Scholar and Taylor & Francis. &lt;b&gt;Results:&lt;/b&gt; It was possible to review 36 studies on the field and to state that investigations on this topic have increased in 2019, at a compounded annual growth rate (CAGR) of 6.86% (in a period of 54 years). Poland and USA are the leading countries in the number and importance of investigations on this topic. Keywords were grouped on the basis of the advancement of the research (honeybee, animals, &lt;i&gt;Apis mellifera&lt;/i&gt; and apoideos). &lt;b&gt;Conclusion:&lt;/b&gt; The study of the effects of electromagnetic fields on bees makes it possible to understand its impact on the metabolism and viability of bees.

Scholarly publishing and peer review in the Global South: the role of the reviewer

Peer review is an integral part of contemporary scholarly publishing, especially journal publishing. Work submitted by scholars from all parts of the world is subjected to it. This includes submissions by scholars from the Global South, who wish to publish in “international” journals or in local journals which follow the same model. These authors may not be native English speakers and may be unfamiliar with the conventions of Western scholarship. Many of them conduct research and write their manuscripts under challenging circumstances. They may find it difficult to comply with the requirements of the journals to which they submit their articles. Their manuscripts quite often pose challenges to the peer reviewers. The purpose of this article is to provide some background on scholarly publishing in the Global South and the challenges those colleagues face, and to outline what this may mean for the role of the reviewer.

Developing criteria for research translation decision-making in community settings: a systematic review and thematic analysis informed by the Knowledge to Action Framework and community input

Background

There is a pressing need to translate empirically supported interventions, products, and policies into practice to prevent and control prevalent chronic diseases. According to the Knowledge to Action (K2A) Framework, only those interventions deemed “ready” for translation are likely to be disseminated, adopted, implemented, and ultimately institutionalized. Yet, this pivotal step has not received adequate study. The purpose of this paper was to create a list of criteria that can be used by researchers, in collaboration with community partners, to help evaluate intervention readiness for translation into community and/or organizational settings.

Methods

The identification and selection of criteria involved reviewing the K2A Framework questions from the “decision to translate” stage, conducting a systematic review to identify characteristics important for research translation in community settings, using thematic analysis to select unique research translation decision criteria, and incorporating researcher and community advisory board feedback.

Results

The review identified 46 published articles that described potential criteria to decide if an intervention appears ready for translation into community settings. In total, 17 unique research translation decision criteria were identified. Of the 8 themes from the K2A Framework that were used to inform the thematic analysis, all 8 were included in the final criteria list after research supported their importance for research translation decision-making. Overall, the criteria identified through our review highlighted the importance of an intervention’s public health, cultural, and community relevance. Not only are intervention characteristics (e.g., evidence base, comparative effectiveness, acceptability, adaptability, sustainability, cost) necessary to consider when contemplating introducing an intervention to the “real world,” it is also important to consider characteristics of the target setting and/or population (e.g., presence of supporting structure, support or buy-in, changing sociopolitical landscape).

Conclusions

Our research translation decision criteria provide a holistic list for identifying important barriers and facilitators for research translation that should be considered before introducing an empirically supported intervention into community settings. These criteria can be used for research translation decision-making on the individual and organizational level to ensure resources are not wasted on interventions that cannot be effectively translated in community settings to yield desired outcomes.

Fear and Trembling While Working in a Pandemic: an Exploratory Meta-Analysis of Workers' COVID-19 Distress

The global COVID-19 pandemic has disrupted the lives of workers and taken its toll on health and well-being. In line with recent calls for more inductive and abductive occupational health science research, we exploratorily meta-analyzed workers' COVID-19 distress, defined as psychological and psychosomatic strain contextualized to experiencing the virus and pandemic broadly. We identified many existing COVID-19 distress measures (e.g., Fear of COVID-19 Scale by Ahorsu et al., International Journal of Mental Health and Addiction, 2020; Coronavirus Anxiety Scale by Lee, Death Studies, 44(7), 393-401, 2020a) and correlates, including demographic variables (viz., gender, marital status, whether worker has children), positive well-being (e.g., quality of life, perceived social support, resilience), negative well-being (e.g., anxiety, depression, sleep problems), and work-related variables (e.g., job satisfaction, burnout, task performance). Additionally, we found preliminary evidence of subgroup differences by COVID-19 distress measure and country-level moderation moderators (viz., cultural values, pandemic-related government response) as well as COVID-19 distress's incremental validity over and above anxiety and depression. The findings-based on k = 135 independent samples totaling N = 61,470 workers-were abductively contextualized with existing theories and previous research. We also call for future research to address the grand challenge of working during the COVID-19 pandemic and ultimately develop a cumulative occupational health psychology of pandemics.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41542-022-00131-x.

Positive Aspects of Welfare in Sheep: Current Debates and Future Opportunities

The concept of positive welfare is an expansion of the traditional understanding that animal welfare is defined by minimizing stress, pain, suffering, and disease. Positive welfare shifts the animal welfare narrative from a focus on reducing negative experiences to proactively providing animals with opportunities to have positive experiences and feelings. The concept, although around for several decades, is in its infancy in terms of developing ways of assessing positive welfare on farms, especially in extensive systems, and there are challenges in the adoption of positive welfare practices and the monitoring of continuous improvement at the farm level. Using an iterative approach, this critical review aims to explore the extent to which positive welfare interventions and indicators are positioned and have been developed within the animal welfare literature for sheep. This paper critiques existing positive welfare indicators, such as choices in food and the physical environment, conspecific social synchronization, maternal bonds, intergenerational knowledge transfer, positive human-animal relationships, etc., as currently assessed by the 'good life framework'. It also reviews the characteristics of scientific measures for (positive) affective states in the current sheep literature and their potential contribution to understanding positive welfare states in sheep. In conclusion, this paper provides recommendations for future research regarding sheep welfare.

Fidelity in School-Based Positive Behavioral Interventions and Supports: Current Status of Compliance

OBJECTIVE

The current study identified and compared different treatment fidelity reporting methods.

METHOD

This paper includes 2 studies. In Study 1, the researchers compared and contrasted 3 sources of fidelity obtained in a study previously published by the authors; whereas, Study 2 did the same using a structured review of the literature.

RESULTS

Fidelity reporting methods included: self-reports, peer reports, observations, artifact review, and use of standardized procedures. Study 1: a statistically significant difference in fidelity results was identified between methods. Study 2: the most common method of reporting was no reporting (46%) followed by observations (25.6%), peer ratings (25.6%), and self-report (23.1%). When studies reported that fidelity was evaluated, 57% subsequently provided specific fidelity results.

CONCLUSIONS

Given that intervention fidelity is reported differently depending on the method used, then standard guidelines are needed for how this construct should be assessed and reported in practice and research.

A Systematic Review on Particle Swarm Optimization Towards Target Search in The Swarm Robotics Domain

Swarm Intelligence (SI) is one of the research fields that has continuously attracted researcher attention in these last two decades. The flexibility and a well-known decentralized collective behavior of its algorithm make SI a suitable candidate to be implemented in the swarm robotics domain for real-world optimization problems such as target search tasks. Since the introduction of Particle Swarm Optimization (PSO) as a representation of the SI algorithm, it has been widely accepted and utilized especially in local and global search strategies. Because of its simplicity, effectiveness, and low computational cost, PSO has retained popularity notably in the swarm robotics domain, and many improvements have been proposed. Target search problems are one of the areas that have been continuously solved by PSO. This article set out to analyze and give the inside view of the existing literature on PSO strategies towards target search problems. Based on the procedure of PRISMA Statement review method, a systematic review identified 51 related research studies. After further analysis of these total 51 selected articles and consideration on the PSO components, target search components, and research field components, resulting in nine main elements related to the discussed topic. The elements are PSO variant, application field, PSO inertial weight function, PSO efficiency improvement, PSO termination criteria, target available, target mobility status, experiment framework, and environment complexity. Several recommendations, opinions, and perfectives on the discussed topic are presented. Finally, recommendations for future research in this domain are represented to support future developments.

An International Systematic Review of Prevalence, Risk, and Protective Factors Associated with Young People's E-Cigarette Use

While the prevalence of young people's conventional cigarette use has decreased in many countries, the use of e-cigarettes has risen. To effectively counteract the growing popularity of e-cigarettes among young people internationally, researchers should know the exact prevalence as well as the protective and risk factors associated with vaping. Based on five eligibility criteria, 53 articles were chosen and analyzed by general characteristics, prevalence, sample characteristics, gender difference, protective factors, and risk factors. In this study, the international pooled prevalence of young people's lifetime e-cigarette use was 15.3%, the current use was 7.7%, and dual use was 4.0%. While the highest lifetime, current, and dual prevalence were found in Sweden, Canada, and the United Kingdom, respectively, the lowest prevalence was found in Germany, followed by South Korea and Sweden. Some protective and risk factors include perceived cost and danger of vaping, parental monitoring, internal developmental assets, cigarette use, family and peer smoking, exposure to online advertisements, and the presence of nearby retail stores. Based on this review, researchers and practitioners can develop different intervention programs and strategies for young smokers.

Patient involvement in priority-setting for medical research: A mini review of initiatives in the rare disease field

Patient involvement (PI) in determining medical research priorities is an important way to ensure that limited research funds are allocated to best serve patients. As a disease area for which research funds are limited, we see a particular utility for PI in priority-setting for medical research on rare diseases. In this review, we argue that PI initiatives are an important form of evidence for policymaking. We conducted a study to identify the extent to which PI initiatives are being conducted in the rare disease field, the features of such initiatives, the trends in the priorities elicited, and the extent to which translation into policy is reported in the academic literature. Here, we report the results of this exploratory review of the English-language literature gathered through online databases and search engines, with the aim of identifying journal articles published prior to December 2020, describing PI initiatives focused on determining priorities for medical research funding in the rare disease field. We identified seven recently-published articles and found that the majority made use of structured methodologies to ensure the robustness of the evidence produced, but found little reported practical implementation or concrete plans for implementation of the results of the initiatives. We conclude that priority-setting initiatives are meaningful mechanisms for involving patients in determining research directions. However, we highlight the importance of translation into policy as a necessary next step to fully utilize the results and move beyond well-intentioned exercises. Finally, we draw attention to the benefits of involving patients throughout this process.

Google Scholar or University Digital Libraries: A comparison of student perceptions and intention to use

Google Scholar has become an important search platform for students in higher education, and, as such, can be regarded as a competitor to university libraries. Previous research has explored students’ intention to use Google Scholar (GS) and University Digital Libraries (UDLs), but there is a lack of comparative studies that explore students’ preferences between these two platforms. Therefore, this study seeks to explore the search behaviour of a select group of users, international postgraduate students and more specifically compares the factors that influence their use of Google Scholar and University Digital Libraries (UDLs). A questionnaire-based survey, based on the factors in the UTAUT model (unified theory of acceptance and use of technology) was conducted to collect data on acceptance and use of technology of GS and UDL’s respectively. Data was collected from 400 international postgraduate students studying in the United Kingdom. Confirmatory factor analysis was used to establish the contextual influencing factors, whilst structural equation modelling examined the predicted model. The results suggest some differences between the influence of various factors between the UDL dataset and the GS datasets. They suggest that social influence (SI) did not affect behavioural intention (BI) for either data set, but that for the UDL dataset, effort expectancy did not affect BI, whereas for the GS dataset facilitating conditions did not influence BI. The approach taken in this study further facilitates research into the use of search tools to progress beyond ease of use as a main driver and to explore the relationship between internal and external influences of use. Recommendations for further research are suggested and the value of the insights gained for UDLs and their provision and support for all students is discussed.

Semantic Academic Profiler (SAP): a framework for researcher assessment based on semantic topic modeling

Recent efforts have focused on identifying multidisciplinary teams and detecting co-Authorship Networks based on exploring topic modeling to identify researchers’ expertise. Though promising, none of these efforts perform a real-life evaluation of the quality of the built topics. This paper proposes a Semantic Academic Profiler (SAP) framework that allows summarizing articles written by researchers to automatically build research profiles and perform online evaluations regarding these built profiles. SAP exploits and extends state-of-the-art Topic Modeling strategies based on Cluwords considering n-grams and introduces a new visual interface able to highlight the main topics related to articles, researchers and institutions. To evaluate SAP’s capability of summarizing the profile of such entities as well as its usefulness for supporting online assessments of the topics’ quality, we perform and contrast two types of evaluation, considering an extensive repository of Brazilian curricula vitae: (1) an offline evaluation, in which we exploit a traditional metric (NPMI) to measure the quality of several data representations strategies including (i) TFIDF, (ii) TFIDF with Bi-grams, (iii) Cluwords, and (iv) CluWords with Bi-grams; and (2) an online evaluation through an A/B test where researchers evaluate their own built profiles. We also perform an online assessment of SAP user interface through a usability test following the SUS methodology. Our experiments indicate that the CluWords with Bi-grams is the best solution and the SAP interface is very useful. We also observed essential differences in the online and offline assessments, indicating that using both together is very important for a comprehensive quality evaluation. Such type of study is scarce in the literature and our findings open space for new lines of investigation in the Topic Modeling area.

Winners and runners-up alike?-a comparison between awardees and special mention recipients of the most reputable science award in Colombia via a composite citation indicator

The research agenda on global academic elites (e.g., those awarded the Nobel Prize) has overlooked academic awards and elites from developing countries and the public symbolic recognition of scientific elites by research awards. In this study, we examine the bibliometric features of individual researcher profiles of those participants who received a special mention in Colombia's most prestigious prize in the sciences: the Alejandro Ángel Escobar Prize (AAEP). First, we chart the citation per article trend of Colombia's most prolific researchers before and after receiving the special mention and the AAEP. We then compare the special mention group with those awarded the AAEP, using a composite citation indicator of six scientific impact and productivity indices to estimate (1) bulk impact (number of citations and h index) and (2) authorship order adjusted impact (Schreiber hm index; total citations for articles of which the scientist is the single author; total citations for articles of which the scientist is the single or first author; and total citations for articles of which the scientist is the single, first, or last author). Results show that there is no overall halo effect in citation per article after receiving the special mention or the AAEP. Such recognition comes after an academically productive career marked by multiple citations per article peaks. There is no clear-cut division between the composite citation indicator of those awarded a special mention and those awarded the AAEP. Findings place the profile of local authors in an adjusted and inclusive framework that takes full cognisance of the scientific elites in developing countries.

Soil Chemical Pollution and Military Actions: A Bibliometric Analysis

Contrary to the optimistic expectations three decades ago, global military expenditure is increasing rather rapidly, fueled by the increasing intensity of international tensions. As a consequence of this, the military-caused soil pollution gains in importance. On the basis of a bibliometric analysis of 3500 articles, it is obvious that the level of interest in this topic has been rather fluctuating in the last decades, but in the last years, more than two hundred and fifty new publications have been appearing annually. The majority of publications are authored by US, Chinese, and Western European authors. Five main research areas could be identified by the cluster analysis of the following keywords: Heavy metal pollution, water resource pollution, consequences of soil pollution in the food chain, pollution by organic components and soil remediation, and analytic method development. The most central problem of research is heavy metal contamination. The basic topics of research are risk management, water contamination, and the depleted uranium problem. There is a further need to study the possibilities of decreasing of level of chemical pollutants, especially heavy metals.

Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases

This paper introduces a novel scientometrics method and applies it to estimate the subject coverages of many of the popular English-focused bibliographic databases in academia. The method uses query results as a common denominator to compare a wide variety of search engines, repositories, digital libraries, and other bibliographic databases. The method extends existing sampling-based approaches that analyze smaller sets of database coverages. The findings show the relative and absolute subject coverages of 56 databases-information that has often not been available before. Knowing the databases' absolute subject coverage allows the selection of the most comprehensive databases for searches requiring high recall/sensitivity, particularly relevant in lookup or exploratory searches. Knowing the databases' relative subject coverage allows the selection of specialized databases for searches requiring high precision/specificity, particularly relevant in systematic searches. The findings illustrate not only differences in the disciplinary coverage of Google Scholar, Scopus, or Web of Science, but also of less frequently analyzed databases. For example, researchers might be surprised how Meta (discontinued), Embase, or Europe PMC are found to cover more records than PubMed in Medicine and other health subjects. These findings should encourage researchers to re-evaluate their go-to databases, also against newly introduced options. Searching with more comprehensive databases can improve finding, particularly when selecting the most fitting databases needs particular thought, such as in systematic reviews and meta-analyses. This comparison can also help librarians and other information experts re-evaluate expensive database procurement strategies. Researchers without institutional access learn which open databases are likely most comprehensive in their disciplines.

Multi-sided platforms in competitive B2B networks with varying governmental influence - a taxonomy of Port and Cargo Community System business models

Our knowledge on differences in business model characteristics of thriving and failing Multi-Sided Platforms in competitive B2B networks (B2B-MSP) and potential influences of increasing governmental involvement remains fragmented. This study develops a taxonomy to classify special B2B-MSP with varying governmental influence in the supply chain and transportation context, viz. Port and Cargo Community Systems (CS). Based on the classification of 44 international CS, we identify four archetypes using cluster analysis. The taxonomy provides practitioners with a differentiated view on the configuration options of CS business models including the involvement of governmental institutions, while the presented archetypes contribute an aggregated view of CS business models. The statistical analysis of our results provides initial explanatory approaches on CS business model dimension interdependencies, thereby laying the basis for a deeper understanding of sectoral and geographic differences of B2B-MSP and their diffusion dynamics as well as facilitating a higher contextualization of future research.

Thirty Years of Implementing the Photovoice Method: Insights From a Review of Reviews

As the use of the photovoice method has proliferated over the past three decades, several literature reviews have been conducted about implementing the method in the context of health promotion research and practice. Challenges emerged from the literature frequently enough to be reported in several reviews. As such, the purpose of this "review of reviews" was to identify and describe the various challenges to implementing photovoice as reported in published literature reviews. Taken together, the sum of the reviews' critiques about photovoice may be of particular use for developing solutions regarding challenges that limit the utility and outcomes of the method. The literature reviews included in this study were identified using PubMed, CINAHL, Google Scholar, and backward/forward chaining. The final 15 review articles included in the study were analyzed for the challenges of implementing photovoice described in each review. Four major themes emerged from the reviews: (1) inconsistent adherence to the photovoice method, (2) inconsistent evaluation of photovoice outcomes and impacts, (3) implementation challenges with specific populations, and (4) inconsistent reporting and adherence to ethical procedures. For those conducting photovoice projects in the future, the implications of the findings include maximizing participant engagement in the project from start to finish, evaluating photovoice projects for effectiveness in producing community change, and reporting ethical procedures.

What has preclinical systematic review ever done for us?

Systematic review and meta-analysis are a gift to the modern researcher, delivering a crystallised understanding of the existing research data in any given space. This can include whether candidate drugs are likely to work or not and which are better than others, whether our models of disease have predictive value and how this might be improved and also how these all interact with disease pathophysiology.

Grappling with the literature needed for such analyses is becoming increasingly difficult as the number of publications grows. However, narrowing the focus of a review to reduce workload runs the risk of diminishing the generalisability of conclusions drawn from such increasingly specific analyses.

Moreover, at the same time as we gain greater insight into our topic, we also discover more about the flaws that undermine much scientific research. Systematic review and meta-analysis have also shown that the quality of much preclinical research is inadequate. Systematic review has helped reveal the extent of selection bias, performance bias, detection bias, attrition bias and low statistical power, raising questions about the validity of many preclinical research studies. This is perhaps the greatest virtue of systematic review and meta-analysis, the knowledge generated ultimately helps shed light on the limitations of existing research practice, and in doing so, helps bring reform and rigour to research across the sciences.

In this commentary, we explore the lessons that we have identified through the lens of preclinical systematic review and meta-analysis.

The Social Acceptance of Airborne Wind Energy: A Literature Review

Airborne wind energy (AWE) systems use tethered flying devices to harvest higher-altitude winds to produce electricity. For the success of the technology, it is crucial to understand how people perceive and respond to it. If concerns about the technology are not taken seriously, it could delay or prevent implementation, resulting in increased costs for project developers and a lower contribution to renewable energy targets. This literature review assessed the current state of knowledge on the social acceptance of AWE. A systematic literature search led to the identification of 40 relevant publications that were reviewed. The literature expected that the safety, visibility, acoustic emissions, ecological impacts, and the siting of AWE systems impact to which extent the technology will be accepted. The reviewed literature viewed the social acceptance of AWE optimistically but lacked scientific evidence to back up its claims. It seemed to overlook the fact that the impact of AWE’s characteristics (e.g., visibility) on people’s responses will also depend on a range of situational and psychological factors (e.g., the planning process, the community’s trust in project developers). Therefore, empirical social science research is needed to increase the field’s understanding of the acceptance of AWE and thereby facilitate development and deployment.

Sizing the Knowledge Gap in Taxonomy: The Last Dozen Years of Aphidiinae Research

Simple Summary

Taxonomy is a biological discipline with the task to identify, name, and describe organisms, and as such, it provides necessary data for all other biological disciplines. The biodiversity crisis through which we are living draws attention to the crucial role of taxonomy in biology today. At the same time, the scientific community, as well as society in general, has become more aware of the difficulties associated with taxonomy, such as gaps in taxonomic knowledge, a lack of taxonomic infrastructure, and an insufficient number of taxonomic experts (“taxonomic impediment”). With this study, we tried to size this knowledge gap by analyzing the taxonomical studies on Aphidiinae (Hymenoptera: Braconidae) conducted from 2010 to 2021. Aphidiinae are endoparasitoids of aphids; a single specimen completes its development inside the living aphid host, which are used in biological control programs. Here, we summarize the knowledge gathered over the last dozen years and discuss it in a general context.

Abstract

Taxonomic impediment is one of the main roadblocks to managing the current biodiversity crisis. Insect taxonomy is the biggest contributor to the taxonomic impediment, both in terms of the knowledge gap and the lack of experts. With this study, we tried to size the knowledge gap by analyzing taxonomical studies on the subfamily Aphidiinae (Hymenoptera: Braconidae) conducted from 2010 to 2021. All available taxonomic knowledge gathered in this period is critically summarized: newly described species, detection of alien species, published identification keys, etc. All findings are discussed relative to the current state of general taxonomy. Future prospects for taxonomy are also discussed.