Suitability of Google Scholar as a source of scientific information and as a source of data for scientific evaluation—Review of the Literature

Recent SARS-CoV-2 evolution trajectories indicate the emergence of Omicron's several subvariants and the current rise of KP.3.1.1 and XEC

The recent COVID-19 pandemic is one of the quickest-evolving pandemics in the world history. Therefore, the evolution of SARS-CoV-2 needs to be tracked consistently. Various VOIs, VOCs, and recent subvariants of Omicron have emerged from the dynamically evolving SARS-CoV-2. Various offspring of the Omicron subvariants have emerged since its origin, including lineages such as BA, BQ, and XBB, as well as more recent subvariants like BA.2.86, JN.1, JN.11.1, KP.3, KP.3.1.1, and XEC. The study evaluated the overall and one year evolutionary patterns, genome diversity, divergence event, transmission and geographical distributions, circulating frequency, entropy diversity, mutational diversity, risk mutations in S-protein and mutational fitness of the subvariants. The study estimated the substitution rate of all variants and subvariants of SARS-CoV-2 since its origin (32.001 × 10-4 subs/year). The geographical distributions of the recent KP.3.1.1 and XEC subvariant indicated its distribution in North America, South America, Europe, and Southeast Asia. Simultaneously, genome mutational landscapes were noted, including Spike and RBD mutations. We found that JN.1, JN.1.11.1, KP.3, KP.3.1.1 and XEC subvariants have gained the highest mutational fitness in Europe and North America. Our study indicates that the rapid evolution and highest frequency of mutational fitness have created a variety of subvariants from Omicron. It also indicates a shift from waves to mini-waves. Finally, our possible explanation is that mutation-driven divergent evolution contributes to the emergence of recent subvariants.

Meta-analysis and review of in silico methods in drug discovery - part 1: technological evolution and trends from big data to chemical space

This review offers an overview of advanced in silico methods crucial for drug discovery, emphasizing their integration with data science, and investigates the effectiveness of data science, machine learning, and artificial intelligence via a thorough meta-analysis of existing technologies. This meta-analysis aims to rank these technologies based on their applications and accessibility of knowledge. Initially, a search strategy yielded 900 papers, which were then refined into two subsets: the top 300 most-cited papers since 2000 and papers selected for systematic review based on high impact. From these, 97 articles were identified for discussion, categorized by their influence on society. The focus remains on the qualitative impact of these disciplines rather than solely on metrics like new drug approvals. Ultimately, the review underscores the role of big data in enhancing our comprehension of drug candidate trajectories from development to commercialization, utilizing information stored in publicly available databases to chemical space. Graphical extrapolation of some keywords (Drug Discovery; Big Data; Database; Metadata) discussed in this article and their evolution (in terms of absolute items that are available) by time.

Genetics of Familial Hemophagocytic Lymphohistiocytosis (HLH)

Familial hemophagocytic lymphohistiocytosis (fHLH) represents a group of rare, inherited immune system disorders characterized by uncontrolled inflammatory responses. fHLH results from genetic mutations that impair CD8 T cell and natural killer cell cytotoxicity. Without treatment, fHLH is commonly fatal, but early diagnosis and treatment, including immunosuppressive therapy, and in many cases, an allogeneic hematopoietic stem cell transplant (HSCT), can improve overall outcomes. Genetic testing is critical for confirming the diagnosis, identifying specific gene mutations, assessing family members for carrier status or disease risk, and informing donor selection for HSCT.

I do not think before I leap (buy)! Impulse buying: An integrative review and future research directions

The aim of this paper was to use bibliometric analysis to fill a gap in the research and provide a detailed review of the impulse buying (IB) literature. A total of 541 journal articles published between 2014 and 2023 were retrieved from Scopus and systematically analyzed. The findings indicate that IB has received ample attention in previous studies. Four prominent clusters were identified using co-citation network analysis. The United States was the most influential country, with the most publications and citations in terms of IB research. In the past, authors have analyzed many factors that influence IB. However, some research areas remain underexplored, such as the impacts of the metaverse, artificial intelligence, and live commerce on IB. The findings have relevant implications for psychologists who focus on IB. IB is a crucial concept relevant to psychology and marketing researchers interested in uncovering novel psychological dimensions and requires timely reviews. Previous reviews have either been descriptive/conceptual (literature reviews re-examining and defining the construct) or contextual (meta-analyses of impulse buying in hospitality). To the best of our knowledge, this is the first study to explore IB's past, present, and future using bibliometric and content analysis across various online and offline buying platforms.

Citation manipulation through citation mills and pre-print servers

Citations are widely considered in scientists' evaluation. As such, scientists may be incentivized to inflate their citation counts. While previous literature has examined self-citations and citation cartels, it remains unclear whether scientists can purchase citations. Here, we compile a dataset of ~1.6 million profiles on Google Scholar to examine instances of citation fraud on the platform. We survey faculty at highly-ranked universities, and confirm that Google Scholar is widely used when evaluating scientists. We then engage with a citation-boosting service, and manage to purchase 50 citations while assuming the identity of a fictional author. Taken as a whole, our findings bring to light new forms of citation manipulation, and emphasize the need to look beyond citation counts.

Technologies for Interoperable Internet of Medical Things Platforms to Manage Medical Emergencies in Home and Prehospital Care: Scoping Review

BACKGROUND

The aging global population and the rising prevalence of chronic disease and multimorbidity have strained health care systems, driving the need for expanded health care resources. Transitioning to home-based care (HBC) may offer a sustainable solution, supported by technological innovations such as Internet of Medical Things (IoMT) platforms. However, the full potential of IoMT platforms to streamline health care delivery is often limited by interoperability challenges that hinder communication and pose risks to patient safety. Gaining more knowledge about addressing higher levels of interoperability issues is essential to unlock the full potential of IoMT platforms.

OBJECTIVE

This scoping review aims to summarize best practices and technologies to overcome interoperability issues in IoMT platform development for prehospital care and HBC.

METHODS

This review adheres to a protocol published in 2022. Our literature search followed a dual search strategy and was conducted up to August 2023 across 6 electronic databases: IEEE Xplore, PubMed, Scopus, ACM Digital Library, Sage Journals, and ScienceDirect. After the title, abstract, and full-text screening performed by 2 reviewers, 158 articles were selected for inclusion. To answer our 2 research questions, we used 2 models defined in the protocol: a 6-level interoperability model and a 5-level IoMT reference model. Data extraction and synthesis were conducted through thematic analysis using Dedoose. The findings, including commonly used technologies and standards, are presented through narrative descriptions and graphical representations.

RESULTS

The primary technologies and standards reported for interoperable IoMT platforms in prehospital care and HBC included cloud computing (19/30, 63%), representational state transfer application programming interfaces (REST APIs; 17/30, 57%), Wi-Fi (17/30, 57%), gateways (15/30, 50%), and JSON (14/30, 47%). Message queuing telemetry transport (MQTT; 7/30, 23%) and WebSocket (7/30, 23%) were commonly used for real-time emergency alerts, while fog and edge computing were often combined with cloud computing for enhanced processing power and reduced latencies. By contrast, technologies associated with higher interoperability levels, such as blockchain (2/30, 7%), Kubernetes (3/30, 10%), and openEHR (2/30, 7%), were less frequently reported, indicating a focus on lower level of interoperability in most of the included studies (17/30, 57%).

CONCLUSIONS

IoMT platforms that support higher levels of interoperability have the potential to deliver personalized patient care, enhance overall patient experience, enable early disease detection, and minimize time delays. However, our findings highlight a prevailing emphasis on lower levels of interoperability within the IoMT research community. While blockchain, microservices, Docker, and openEHR are described as suitable solutions in the literature, these technologies seem to be seldom used in IoMT platforms for prehospital care and HBC. Recognizing the evident benefit of cross-domain interoperability, we advocate a stronger focus on collaborative initiatives and technologies to achieve higher levels of interoperability.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/40243.

Chemical composition and pharmacological aspects of Malaysian stingless bee propolis: An up‑to‑date systematic review

Propolis is a sticky substance produced by stingless bees for construction and defence of their hive. It has notable anti-inflammatory, antioxidant, antibacterial, antifungal, anti-hyperglycemic, and wound healing effects. The present review summarised and examined the phytochemical properties, mode of action and current research prospects of Malaysian propolis. A database search using Google Scholar, Web of Science and ScienceDirect generated 780 references; 30 relevant articles were included in the present review, of which 23 were in vitro studies and 7 were in vivo or animal studies. Propolis demonstrated antioxidant, antibacterial, antifungal, anti-inflammatory and anti-hyperglycemic properties, indicating potential as a wound healing agent. Despite favourable findings, due to the scarcity of studies in the literature, more in-depth research and clinical validation on the synergistic effects, efficacy and optimum dosage of propolis are needed.

Geospatial Mapping and Meteorological Flood Risk Assessment: A Global Research Trend Analysis

Flooding is a global threat causing significant economic and environmental damage, necessitating a policy response and collaborative strategy. This study assessed global research trends and advances in geospatial and meteorological flood risk assessment (G_MFRA), considering the ongoing debate on flood risk management and adaptation strategies. A total of 1872 original articles were downloaded in BibTex format using the Web of Science (WOS) and Scopus databases to retrieve G_MFRA studies published from 1985 to 2023. The annual growth rate of 15.48% implies that the field of G_MFRA has been increasing over time during the study period. The analysis of global trends in flood risk research and practice highlights the key themes, methodologies, and emerging directions. There exists a notable gap in data and methodologies for flood risk assessment studies between developed and developing countries, particularly in Africa and South America, highlighting the urgency of coordinated research efforts and cohesive policy actions. The challenges identified in the body of extant literature include technical expertise, complex communication networks, and resource constraints associated with the application gaps of the study methodologies. This study advocates for a holistic research approach to flood disaster management through ecosystem-based adaptation that underpins the Sustainable Development Goals to develop innovative flood techniques and models with the potential to influence global decision-making in the G_MFRA domain. Addressing these global challenges requires a networked partnership between the research community, institutions, and countries.

Visual analysis of patient safety research hotspots and trends in the context of telemedicine based on Web of Science

To analyze the research status, hotspots, and trends of patient safety in the context of international telemedicine, and to provide reference for future research in various countries. The literature pertaining to patient safety within the realm of telemedicine was systematically retrieved from the Web of Science core collection database, encompassing the period from January 2010 to December 2023. Visual analysis of publication quantity, primary authorship, and keyword trends was conducted using CiteSpace (6.2R6) software. The geographical distribution of research focus was visualized through VOSviewer software and SCImago Graphica software, while research institutions were depicted using VOSviewer software and Highcharts software. Data organization was facilitated by Excel 2019 software. A total of 5356 related articles were included, and the number of published papers showed an overall upward trend, and the countries and institutions with the largest number of papers were the United States and Harvard University, respectively, and a stable core author research population had not yet been formed in this research field. Through keyword analysis, it can be seen that the research hotspots mainly focus on the research on the influencing factors of patient safety in the context of telemedicine, the research on the application value of telemedicine, and the research on coping strategies that affect patient safety. The research on patient safety in the context of telemedicine in foreign countries has a certain depth and breadth, which has important reference significance for improving the medical quality and patient safety of Internet hospitals in various countries.

Healthcare Professionals' Knowledge, Attitudes, and Practices in Providing Care to Southeast Asian Immigrants with Cardiometabolic Syndrome: A Scoping Review

OBJECTIVE

There is a growing emphasis on healthcare professionals' (HCPs) role in managing cardiometabolic risk factors to reduce health disparity for immigrants in developed countries. This scoping review aimed to analyse evidence about HCPs' knowledge, attitudes, and practices (KAP) of managing cardiometabolic risk factors among Southeast Asian (SEA) immigrants in developed countries.

DESIGN

Primary studies from inception to July 17, 2023, from four databases: PubMed/Medline, Embase, PsycINFO, and CINAHL were included. This review followed the Joanna Briggs Institute (JBI) scoping review methodology and reported in line with PRISMA-ScR.

RESULTS

Of 619 identified studies, seven met the inclusion criteria. All studies discussed HCPs' knowledge, six explored attitudes, and three described practices specific to SEA immigrants. The extracted data were analysed using descriptive qualitative content analysis and classified into barriers and facilitators. Barriers included cultural discordance and acculturation challenges (patient level); gaps in cultural understanding, communication and clinical skills (healthcare team level); limited immigrant-specific resources (organisation level); and funding constraints (environment level). Facilitators included community and provider support (patient level), awareness and desires to provide immigrant-specific care (healthcare team level), availability of culturally appropriate services (organisation level), and multicultural agendas and policies (environment level).

CONCLUSION

The barriers and facilitators faced by HCPs caring for SEA immigrants with cardiometabolic syndromes share similarities with other immigrant groups. Future research focused on co-production involving immigrant patients, their communities, and HCPs in healthcare service design is required to support HCPs in providing culturally appropriate care and promoting health equity regardless of ethnic, cultural, or linguistic backgrounds.

More Than Just a Scratch: A Scoping Review on Physical and Psychological Consequences of Violence Against Police

Violence against police is a reality for many officers. Despite growing concerns over the rise in violence against police and the serious individual and societal repercussions associated with it, a comprehensive overview of the psychological and physical consequences of verbal and physical violence against police remains elusive. By performing a scoping review (n = 21) of studies and reports identified via database searches (Web of Science and Google Scholar), reference mining, and purposive sampling, and published between 2010 and 2023, this article is the first of its kind to map psychological and physical consequences of violence against police, as well as the risk and protective factors that respectively increase and decrease adverse consequences. Results indicate that officers experience primary victimization by a range of different adverse consequences, but also deal with secondary victimization. The literature has come to a standstill due to lack of (recent) studies and a lack of diversity on how consequences of violence against police are studied. We argue that this lack of academic attention might be influenced by predominant societal perspectives and officers' perceived victim status, and discuss the implications for police, policymakers, and research.

Patient and caregiver characteristics associated with differential use of primary care for children and young people in the UK: a scoping review

OBJECTIVE

To systematically map evidence to answer the research question: What is the relationship between the characteristics of children and young people (CYP) or their caregivers and primary care service use in the UK, taking into account underlying healthcare needs? DESIGN: Scoping review.

SETTING

Primary care.

ELIGIBILITY CRITERIA

English-language quantitative or mixed-methods studies published between 2012 and 2022.

DATA SOURCES

Medline, Embase, Scopus and Web of Science Social Sciences Citation Index, and grey literature.

RESULTS

22 eligible studies were identified, covering general practice (n=14), dental health (n=4), child mental health (MN) services (n=3) and immunisation (n=1). Only eight studies (36%) controlled for variables associated with healthcare need (eg, age, birth weight and long-term conditions). In these, evidence of horizontal inequity in primary care use was reported for CYP living in deprived areas in England, with and without complex needs. Horizontal inequity was also identified in primary care MN referrals for CYP in England identifying as mixed-race, Asian or black ethnicity, compared with their white British peers. No evidence of horizontal inequity was observed, however, in primary care use for CYP in England exposed to parental depression, or for CYP children from low-income households in Scotland. Increasing CYP's age was associated with decreasing primary care use across included studies. No studies were found regarding CYP from Gypsy or Traveller communities, children in care, or those with disabilities or special educational needs.

CONCLUSIONS

There is evidence that socioeconomic factors impact on CYP's primary care use, in particular age, ethnicity and deprivation. However, better quality evidence is required to evaluate horizontal inequity in use and address knowledge gaps regarding primary care use for vulnerable CYP populations and the impact of policy and practice related 'supply side' of primary care.

Rain, rain, go away, come again another day: do climate variations enhance the spread of COVID-19?

The spread of infectious diseases was further promoted due to busy cities, increased travel, and climate change, which led to outbreaks, epidemics, and even pandemics. The world experienced the severity of the 125 nm virus called the coronavirus disease 2019 (COVID-19), a pandemic declared by the World Health Organization (WHO) in 2019. Many investigations revealed a strong correlation between humidity and temperature relative to the kinetics of the virus's spread into the hosts. This study aimed to solve the riddle of the correlation between environmental factors and COVID-19 by applying RepOrting standards for Systematic Evidence Syntheses (ROSES) with the designed research question. Five temperature and humidity-related themes were deduced via the review processes, namely 1) The link between solar activity and pandemic outbreaks, 2) Regional area, 3) Climate and weather, 4) Relationship between temperature and humidity, and 5) the Governmental disinfection actions and guidelines. A significant relationship between solar activities and pandemic outbreaks was reported throughout the review of past studies. The grand solar minima (1450-1830) and solar minima (1975-2020) coincided with the global pandemic. Meanwhile, the cooler, lower humidity, and low wind movement environment reported higher severity of cases. Moreover, COVID-19 confirmed cases and death cases were higher in countries located within the Northern Hemisphere. The Blackbox of COVID-19 was revealed through the work conducted in this paper that the virus thrives in cooler and low-humidity environments, with emphasis on potential treatments and government measures relative to temperature and humidity. HIGHLIGHTS: • The coronavirus disease 2019 (COIVD-19) is spreading faster in low temperatures and humid area. • Weather and climate serve as environmental drivers in propagating COVID-19. • Solar radiation influences the spreading of COVID-19. • The correlation between weather and population as the factor in spreading of COVID-19.

Tourism marketing in the metaverse: A systematic literature review, building blocks, and future research directions

The aim of this research is to investigate tourist marketing within the embryonic context of the metaverse in order to comprehend the building blocks and the primary technologies employed in the sector. A systematic literature review (SLR) was conducted on 386 articles, with an overall qualitative approach that included 86 references, all of which dealt with the topic of the metaverse and had direct or potential implications for the tourism sector (hotels, restaurants, means of transport, leisure activities and destination itself). The articles are taken from: Science Direct, Taylor & Francis, Emerald, Springer and Google Scholar. The SLR was carried out according to the PRISMA search protocol. The results indicate the technologies that have been most thoroughly studied at the confluence of marketing, tourism, and the metaverse (AI, virtual reality, augmented reality, mixed reality, blockchain, tokens (NFTs) and digital twins). Moreover, they establish the foundational components of tourism marketing in the metaverse for the first time (tourism products, the metaverse as a distribution and branding channel for tourism and, tourist customer as protagonist). Finally, the study exposes research gaps and recommends future directions for exploration (monetization of products in the metaverse, promotion and marketing strategies in the metaverse, new profiles for marketing professionals, policy development that regulates commercial activity in the metaverse).

An artificial intelligence tool misclassifies sport science journals as predatory

OBJECTIVES

The choice of a scholarly journal, as opposed to a predatory journal, might impact a sport scientist's career negatively if the wrong choice is made, especially at an early stage of their research and publishing careers. Artificial intelligence (AI) is increasingly impacting sport science and academia. In this study, we tested the accuracy and sensitivity of an AI-driven tool, applied specifically to sport science.

DESIGN

Our research relies on the use of a new and free online AI-driven tool, the AJPC System, which claims the ability to distinguish "normal" (scholarly) from "suspected predatory" (unscholarly) journals.

METHODS

The AJPC System was used to assess (1 December 2023) the classification of all ranked sport journals (n = 124), namely those in all four quartiles (Q1-Q4) of SCImago Journal Rank (SJR), in the "Sports Science" category.

RESULTS

The AJPC System considered 47/124 journals to be "suspected predatory", mostly in Q4 journals (54.8 % of total), casting a negative image on their academic standing.

CONCLUSIONS

Sport scientists are likely to consider SJR Q1-Q4 journals to be relatively safe to publish in, reliable and reputable, and might be confused with the "suspected predatory" label assigned to 37.9 % of those journals. The AJPC System is thus misleading sport scientists.

Modeling brain network flexibility in networks of coupled oscillators: a feasibility study

Modeling the functionality of the human brain is a major goal in neuroscience for which many powerful methodologies have been developed over the last decade. The impact of working memory and the associated brain regions on the brain dynamics is of particular interest due to their connection with many functions and malfunctions in the brain. In this context, the concept of brain flexibility has been developed for the characterization of brain functionality. We discuss emergence of brain flexibility that is commonly measured by the identification of changes in the cluster structure of co-active brain regions. We provide evidence that brain flexibility can be modeled by a system of coupled FitzHugh-Nagumo oscillators where the network structure is obtained from human brain Diffusion Tensor Imaging (DTI). Additionally, we propose a straightforward and computationally efficient alternative macroscopic measure, which is derived from the Pearson distance of functional brain matrices. This metric exhibits similarities to the established patterns of brain template flexibility that have been observed in prior investigations. Furthermore, we explore the significance of the brain's network structure and the strength of connections between network nodes or brain regions associated with working memory in the observation of patterns in networks flexibility. This work enriches our understanding of the interplay between the structure and function of dynamic brain networks and proposes a modeling strategy to study brain flexibility.

The Aging of Polymers under Electromagnetic Radiation

Polymeric materials degrade as they react with environmental conditions such as temperature, light, and humidity. Electromagnetic radiation from the Sun's ultraviolet rays weakens the mechanical properties of polymers, causing them to degrade. This study examined the phenomenon of polymer aging due to exposure to ultraviolet radiation. The study examined three specific objectives, including the key theories explaining ultraviolet (UV) radiation's impact on polymer decomposition, the underlying testing procedures for determining the aging properties of polymeric materials, and appraising the current technical methods for enhancing the UV resistance of polymers. The study utilized a literature review methodology to understand the aging effect of electromagnetic radiation on polymers. Thus, the study concluded that using additives and UV absorbers on polymers and polymer composites can elongate the lifespan of polymers by shielding them from the aging effects of UV radiation. The findings from the study suggest that thermal conditions contribute to polymer degradation by breaking down their physical and chemical bonds. Thermal oxidative environments accelerate aging due to the presence of UV radiation and temperatures that foster a quicker degradation of plastics.

Scholar Metrics Scraper (SMS): automated retrieval of citation and author data

Academic departments, research clusters and evaluators analyze author and citation data to measure research impact and to support strategic planning. We created Scholar Metrics Scraper (SMS) to automate the retrieval of bibliometric data for a group of researchers. The project contains Jupyter notebooks that take a list of researchers as an input and exports a CSV file of citation metrics from Google Scholar (GS) to visualize the group's impact and collaboration. A series of graph outputs are also available. SMS is an open solution for automating the retrieval and visualization of citation data.

Contents, Methods, and Outcomes of Adolescent Sexual Health Promotion in School Environments: A Scoping Review. THE JOURNAL OF SCHOOL HEALTH 2024;94:184-199. [PMID: 37723616 DOI: 10.1111/josh.13393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0]

BACKGROUND

Schools play a significant role in adolescent sexual health (SH) promotion. Although adolescents' SH has improved, growing challenges still exist in some areas. Previous studies have noted a lack of knowledge about SH promotion implementation in school environments. The purpose of this review is to describe the contents, methods, and outcomes of adolescent SH promotion in school environments.

METHODS

Three databases (Cinahl, ERIC, Medline) were searched for peer-reviewed articles published in 2011 to 2022, to identify SH promotion in school environments for adolescents aged 12 to 19 years old. After critical appraisal, inductive content analysis was conducted.

RESULTS

After screening, 25 studies from 8 countries were included. Sexually transmitted diseases and contraception were emphasized in the contents of the methods. Five SH promotion methods were identified: traditional, virtual, interactive, practical skills supporting, and creative. The outcomes were advancement in SH abilities, changes in sexual behavior, and the strengthening of sexual identity.

CONCLUSIONS

The contents mostly considered negative consequences of sexual behavior, whereas positive aspects were less discussed. Traditional methods were emphasized, yet positive outcomes were identified regardless of the method. SH promotion should aim to better support adolescents' sexual identity reinforcement.

Current State of Food Prescriptions Used to Treat Cardiometabolic Risk Factors in the US Adult Population

Cardiometabolic syndrome is unfortunately widely prevalent in medically underserved areas with one possible non-pharmacological solution being food prescriptions from food pharmacies. Food prescriptions are defined as when a physician prescribes certain foods as a treatment for health conditions. There seems to be a promising future for food prescriptions; however, there is a huge literature gap. Given this lack of knowledge regarding this burgeoning practice, we decided to review the current state of food prescriptions used to treat cardiometabolic conditions in the US adult clinical setting. A thorough search of PubMed and Google Scholar databases for articles written about food prescriptions' impact on cardiometabolic risk factors was done. The keywords used included "food prescriptions, vegetables prescription, produce prescription, fruit prescriptions, food pharmacy, food as medicine, cardiometabolic, blood pressure, glucose, insulin, cholesterol, obesity, BMI, body mass index, triglycerides, and microalbuminuria." Of the 637 articles found with the associated keywords, 115 were kept after being screened by title and abstract. Finally, after a full-text record screening, 30 articles were deemed eligible based on our inclusion criteria. We analyzed the health markers, patient populations, methods of food procurement, and financial incentives in food prescription programs. On average, the implementation of food prescription programs decreased participants' BMI, waist circumference, blood pressure, and HbA1c. Participants in the programs were primarily comprised of African American, Hispanic, underinsured, low-income, older, and women groups. Programs with subsidies and vouchers had a higher compliance rate, and food sourced from farmers' markets, grocers, and mobile vendors had the best program compliance rates. According to the literature, adherence to food prescription programs on average decreases the BMI, blood pressure, waist circumference, and Hb1Ac of participants. However, those are the only biomarkers being studied currently, and future studies should incorporate other markers of chronic conditions. For example, a reliable indicator of cardiometabolic health is total cholesterol/HDL cholesterol, which should be measured in future experiments. Additionally, insulin, glucose, triglycerides, and LDL cholesterol are all great markers of cardiometabolic health that can be measured in the future. The current implementation of many food prescription programs is in medically underserved areas. The patient populations are typically low-income, under- or uninsured, food insecure, and originating from diverse ethnic backgrounds. In the future, food prescription studies should be done on other ethnic populations including but not limited to Native Americans who also carry a large burden of preventable and chronic illnesses.

Impact of medical technologies may be predicted using constructed graph bibliometrics

Scientific research is driven by allocation of funding to different research projects based in part on the predicted scientific impact of the work. Data-driven algorithms can inform decision-making of scarce funding resources by identifying likely high-impact studies using bibliometrics. Compared to standardized citation-based metrics alone, we utilize a machine learning pipeline that analyzes high-dimensional relationships among a range of bibliometric features to improve the accuracy of predicting high-impact research. Random forest classification models were trained using 28 bibliometric features calculated from a dataset of 1,485,958 publications in medicine to retrospectively predict whether a publication would become high-impact. For each random forest model, the balanced accuracy score was above 0.95 and the area under the receiver operating characteristic curve was above 0.99. The high performance of high impact research prediction using our proposed models show that machine learning technologies are promising algorithms that can support funding decision-making for medical research.

A systematic review of modeling approaches in green supply chain optimization

Over the past decade, the significance of optimizing green supply chain management (GSCM) has gained unprecedented attention from both scholars and industry professionals. This surge in interest has led researchers to employ diverse modeling approaches in the pursuit of enhancing green supply chain networks. In this systematic review, we analyze 159 recent GSCM optimization papers published from 2017 to 2022 and identify the recent trends in mathematical modeling, multi-objective optimization, and the modeling/solver tools utilized. We find that the primary green focus is on minimizing carbon emissions (n = 44), reflecting the increasing concern for environmental sustainability. Among the modeling approaches employed, mixed-integer linear programming has emerged as the most popular choice (n = 51), followed by game theory-based modeling (n = 30). When it comes to multiobjective optimization, the ε-constraint approach is the most widely used. Evolutionary algorithms have emerged as the dominant meta-heuristic optimization approach. Additionally, the widely utilized solver in this domain is CPLEX with the most popular modeling/solver combination being GAMS/CPLEX. Moreover, the Journal of Cleaner Production was the leading outlet for research in this domain (n = 35). In addition to these findings, this study also discusses some other research trends and future research directions. Finally, we discuss the theoretical, managerial, and policy implications of this study. By providing GSCM researchers and practitioners with the latest trends in GSCM optimization approaches, this study contributes to the further advancement of the field.

The evolution of same-sex sexual behaviour in mammals

Same-sex sexual behaviour has attracted the attention of many scientists working in disparate areas, from sociology and psychology to behavioural and evolutionary biology. Since it does not contribute directly to reproduction, same-sex sexual behaviour is considered an evolutionary conundrum. Here, using phylogenetic analyses, we explore the evolution of same-sex sexual behaviour in mammals. According to currently available data, this behaviour is not randomly distributed across mammal lineages, but tends to be particularly prevalent in some clades, especially primates. Ancestral reconstruction suggests that same-sex sexual behaviour may have evolved multiple times, with its appearance being a recent phenomenon in most mammalian lineages. Our phylogenetically informed analyses testing for associations between same-sex sexual behaviour and other species characteristics suggest that it may play an adaptive role in maintaining social relationships and mitigating conflict.

The Long-Term Effects of Living in a Shared and Continuous Traumatic Reality: The Case of Israeli Families on the Border With Gaza

This article presents a literature review of the concept of intergenerational transmission of traumatic stress among a specific population of Israeli parents and children living near the Israeli/Gaza border, an area that can essentially be viewed as a laboratory of shared, continuous, and stressful reality resulting from ongoing political violence. The Google Scholar database was used to search only for peer-reviewed articles written in English and published between 2002 and 2020, and the particular focus of the study was Israeli families living in the "Gaza envelope": communities that have been on the receiving end of rockets and mortars from Gaza for the past 20 years. The review was based on 35 articles and sheds light on the existence of studies using a variety of perspectives (e.g., psychological, biopsychosocial, and behavioral). Findings demonstrate the effects of continuous stress situations on the family dynamic, even before birth, among this small population. In addition, they show that to understand the unique process of intergenerational trauma transmission in a shared continuous traumatic reality, it is important to adopt a comprehensive perspective so as to understand the reciprocal, long-lasting, and transgenerational effects of being exposed to traumatic stress. This perspective can be used as a basis for developing family intervention strategies that are appropriate for preventing stress outcomes that derive from living in the context of persistent violence.

Aliens on the Road: Surveying Wildlife Roadkill to Assess the Risk of Biological Invasion

Monitoring the presence and distribution of alien species is pivotal to assessing the risk of biological invasion. In our study, we carried out a worldwide review of roadkill data to investigate geographical patterns of biological invasions. We hypothesise that roadkill data from published literature can turn out to be a valuable resource for researchers and wildlife managers, especially when more focused surveys cannot be performed. We retrieved a total of 2314 works published until January 2022. Among those, only 41 (including our original data) fitted our requirements (i.e., including a total list of roadkilled terrestrial vertebrates, with a number of affected individuals for each species) and were included in our analysis. All roadkilled species from retrieved studies were classified as native or introduced (domestic, paleo-introduced, or recently released). We found that a higher number of introduced species would be recorded among roadkill in Mediterranean and Temperate areas with respect to Tropical and Desert biomes. This is definitely in line with the current knowledge on alien species distribution at the global scale, thus confirming that roadkill datasets can be used beyond the study of road impacts, such as for an assessment of different levels of biological invasions among different countries.

Citation analysis of computer systems papers

Citation analysis is used extensively in the bibliometrics literature to assess the impact of individual works, researchers, institutions, and even entire fields of study. In this article, we analyze citations in one large and influential field within computer science, namely computer systems. Using citation data from a cross-sectional sample of 2,088 papers in 50 systems conferences from 2017, we examine four research areas of investigation: overall distribution of systems citations; their evolution over time; the differences between databases (Google Scholar and Scopus), and; the characteristics of self-citations in the field. On citation distribution, we find that overall, systems papers were well cited, with the most cited subfields and conference areas within systems being security, databases, and computer architecture. Only 1.5% of papers remain uncited after five years, while 12.8% accrued at least 100 citations. For the second area, we find that most papers achieved their first citation within a year from publication, and the median citation count continued to grow at an almost linear rate over five years, with only a few papers peaking before that. We also find that early citations could be linked to papers with a freely available preprint, or may be primarily composed of self-citations. For the third area, it appears that the choice of citation database makes little difference in relative citation comparisons, despite marked differences in absolute counts. On the fourth area, we find that the ratio of self-citations to total citations starts relatively high for most papers but appears to stabilize by 12-18 months, at which point highly cited papers revert to predominately external citations. Past self-citation count (taken from each paper's reference list) appears to bear little if any relationship with the future self-citation count of each paper. The primary practical implication of these results is that the impact of systems papers, as measured in citations, tends to be high relative to comparable studies of other fields and that it takes at least five years to stabilize. A secondary implication is that at least for this field, Google Scholar appears to be a reliable source of citation data for relative comparisons.

What Google-based data can tell us about information systems theory: A review

The aim of this study is to examine the attention and acceptance of popular information systems (IS) theory. Both Google Scholar (GS) and Google Trends (GT) data related to popular IS theories from 2006 to 2020 are collected. The study provides an overview of popular IS theories and tests the pair data to show changes in GS’s total publications and GT’s public interest. Correlation analyses are conducted to investigate the relationships between GS and GT data, as well as between GS and GT data. Trend analysis reveals that there are certain IS theories that researchers and practitioners should pay attention to. In addition, this study provides an overview of recent and future directions in this field. Despite the significant increase in research using Google data, the use of big data to explore the interests and applications of IS theories has been rarely explored.

Tooth auto-transplantation: A bibliometric analysis of the top 100 most-cited articles

BACKGROUND/AIM

Tooth auto-transplantation has recently gained high clinical acceptance. The aim of this study was to identify the top 100 most-cited articles regarding tooth auto-transplantation, to analyse multiple citations and publication metrics and to outline the historical scientific advancements in this field.

MATERIALS AND METHODS

An advanced search of the Clarivate Analytics' Web of Science 'Core Collection' and Elsevier's Scopus databases utilising specific keywords related to tooth auto-transplantation between 1971 and 2021 was performed. The retrieved articles were ranked in descending order based on their Web of Science citation counts and further cross-matched with citation data from Scopus. The extracted data included citation counts, citation density, level of evidence, year of publication, contributing authors names and institutes, corresponding author's address, journal of publication, journal local citations index, cumulative growth index, keywords and keywords Plus. Data analysis was performed using descriptive statistics and graphical mapping.

RESULTS

A total of 1290 articles were retrieved. The top 100 most-cited articles received a total of 4899 (Web of Science) and 5250 (Scopus) citations. Among these, cohort studies (29%) and case series (18%) were the most common study designs. Scandinavian countries produced major contributions in defining the top 100 most-cited articles and ranked within the top 5 countries based on the number of publications and citations per year. The greatest contributing authors were Schwartz O (n = 12), Andreasen JO (n = 8) and Paulsen HU (n = 6), and they were affiliated with Copenhagen, Denmark. The top contributing journals were American Journal of Orthodontics and Dentofacial Orthopedics, International Journal of Oral and Maxillofacial Surgery, Oral Surgery Oral Medicine Oral Pathology Oral Radiology, European Journal of Orthodontics, Dental Traumatology and Journal of Oral and Maxillofacial Surgery.

CONCLUSION

This bibliometric analysis revealed a large geographical scientific interest and broad development in the field of tooth auto-transplantation spanning multiple dental disciplines.

Evaluation of the i10-Index in Plastic Surgery Research and its Correlation with Altmetric Attention Scores and Traditional Author Bibliometrics: An Evaluation of a Single Journal

Background  Although the Hirsch index (H-index) has become one of the most accepted measures of scholarly output, its limitations have led to the proposition of newer alternative metrics. The i10-index, notable for being easy to calculate and free to access, has potential, given its association with the power and ubiquity of Google. This study aims to evaluate the utility of the i10-index for plastic surgery research by examining its relationship with author bibliometrics and article metrics, including the H-index and Altmetric Attention Score (AAS). Methods  Article metrics were extracted from articles published in the highest impact plastic surgery journal, Plastic and Reconstructive Surgery, over a 2-year period (2017-2019). Senior author bibliometrics, including i10-index and H5-index, were obtained from Web of Science. Correlation analysis was performed using Spearman's rank correlation coefficient (r s ). Results  A total of 1,668 articles were published and 971 included. Senior author i10-index measurements demonstrated moderate correlation with times emailed (r s  = 0.47), and weak correlations with H5-index, total publications, and sum of times cited with and without self-citations. The H5-index correlated very strongly with total publications (r s  = 0.91) and sum of times cited (both r s  = 0.97), moderately with average citations per item (r s  = 0.66) and times emailed (r s  = 0.41), and weakly with number of citations by posts, AAS, and times tweeted. Conclusions  Although the i10 strongly correlates with the H5-index, it fails to prove superior to the H5-index in predicting the impact of specific research studies in the field of plastic surgery.

Detecting latent topics and trends of digital twins in healthcare: A structural topic model-based systematic review

Objective

Digital twins (DTs) have received widespread attention recently, providing new ideas and possibilities for future healthcare. This review aims to provide a quantitative review to analyze specific study contents, research focus, and trends of DT in healthcare. Simultaneously, this review intends to expand the connotation of "healthcare" into two directions, namely "Disease treatment" and "Health enhancement" to analyze the content within the "DT + healthcare" field thoroughly.

Methods

A data mining method named Structure Topic Modeling (STM) was used as the analytical tool due to its topic analysis ability and versatility. Google Scholar, Web of Science, and China National Knowledge Infrastructure supplied the material papers in this review.

Results

A total of 94 high-quality papers published between 2018 and 2022 were gathered and categorized into eight topics, collectively covering the transformative impact across a broader spectrum in healthcare. Three main findings have emerged: (1) papers published in healthcare predominantly concentrate on technology development (artificial intelligence, Internet of Things, etc.) and application scenarios(personalized, precise, and real-time health service); (2) the popularity of research topics is influenced by various factors, including policies, COVID-19, and emerging technologies; and (3) the preference for topics is diverse, with a general inclination toward the attribute of "Health enhancement."

Conclusions

This review underscores the significance of real-time capability and accuracy in shaping the future of DT, where algorithms and data transmission methods assume central importance in achieving these goals. Moreover, technological advancements, such as omics and Metaverse, have opened up new possibilities for DT in healthcare. These findings contribute to the existing literature by offering quantitative insights and valuable guidance to keep researchers ahead of the curve.

Comments on "Persistent, bioaccumulative, and toxic chemicals in insects: Current state of research and where to from here?"

A recent study published in Science of the Total Environment conducted a systematic review of persistent, bioaccumulative, and toxic chemicals (PBTs) in insects using Web of Science Core Collection. Interestingly, a remarkable increase of human, animal, and vertebrate publications related to PBTs appeared in the early 1990s. Despite the authors' attempts to illustrate the anomalies from different perspectives, no rational explanation has been found yet. Quite interested in this abnormal phenomenon, we intend to join the academic discussion by pointing out some problems in the data retrieval and processing process in this review study and giving a more reasonable explanation for the surge of research publications in the early 1990s. Our new interpretations based on large-scale empirical data will help scholars make better use of this well-known and widely used database.

When to use vibrotactile displays? A meta-analysis for the role of vibrotactile displays in human-computer interaction

OBJECTIVE

This study aims to investigate the benefits of unimodal tactile displays relative to other modal displays and the performance gains of adding redundant tactile displays by integrating empirical studies.

BACKGROUND

Tactile displays have attracted increasing attention in recent years due to their unique advantages. Synthesizing experimental data is necessary to analyze the performance benefits of tactile displays for participants and better help practitioners in utilizing them.

METHOD

Five meta-analyses were conducted. Two meta-analyses compared the participants' performance between tactile and other modal displays (visual vs. tactile and auditory vs. tactile). Three meta-analyses examined the performance gains of adding redundant tactile displays based on other modal displays (visual vs. visual + tactile, auditory vs. auditory + tactile, and visual + auditory vs. visual + auditory + tactile). The related moderator variables, the types of presented information and concurrent tasks, were analyzed.

RESULTS

Little evidence shows the performance difference between tactile and auditory displays. Tactile displays are more beneficial than visual displays for presenting alert information or in the situation with a visual concurrent task. The performance gains of adding redundant tactile displays to other modal displays also depend on the specific type of presented information and the concurrent task.

CONCLUSION

When using tactile displays to convey information, interface designers should consider the specific type of presented information and the concurrent tasks.

APPLICATIONS

The present study's findings can provide some implications for designers to utilize tactile displays when they construct and implement information displays.

The effect of food prescription programs on chronic disease management in primarily low-income populations: A systematic review and meta-analysis

Background: Having low-income limits one's ability to purchase foods that are high in nutritional value (e.g. vegetables and fruits (V/F)). Higher V/F intake is associated with less diet-related chronic disease. Food pharmacy programs are potential solutions to providing V/F to low-income populations with or at-risk for chronic disease. Aim: This systematic review aimed to determine the effect of food pharmacy programs, including interventions targeting populations at-risk for chronic disease. Methods: We searched Pubmed and Google Scholar databases for studies reporting on food pharmacy interventions and outcomes (hemoglobin A1c, body mass index (BMI), V/F intake, and blood pressure). We calculated pooled mean differences using a random-effects model. Seventeen studies met our inclusion criteria; 13 studies used a pre/post study design, three used a randomized controlled trial, and one was a post-survey only. Results: We found that the pooled mean daily servings of V/F (0.77; 95% CI: 0.30 to 1.24) was higher and BMI (-0.40; 95% CI: -0.50 to -0.31) was lower with food pharmacy interventions We did not find any differences in the pooled mean differences for hemoglobin A1c or systolic blood pressure. Conclusion: Findings posit that food pharmacy programs delivered to primarily low-income individuals with comorbidities may be a promising solution to improving V/F intake and possibly overall diet in these populations.

Variations in the naming of malondialdehyde (MDA) in PubMed-, Scopus-, and Web of science-indexed literature

Malondialdehyde (MDA) is a product of lipid peroxidation that is often determined in abiotic stress-related phytoremediation research. This study assessed (July 14, 2022) the frequency of eight nomenclatural forms of MDA between 2001 and 2021 using three major databases (PubMed, Scopus, and Web of Science (WoS9). The most common form (75,060, 57,874, and 65,663 times in PubMed, Scopus, and WoS, respectively) of MDA was "malondialdehyde", followed by "malonaldehyde" (68,240, 3815, and 2337 times in these three databases, respectively). According to WoS, the journals that used "malondialdehyde" and "malonaldehyde" most frequently were Environmental Science and Pollution Research (Springer-Nature) (587 times) and The Journal of Chemical Physics (AIP Publishing) (57 times). Other less-frequent forms were: malonyldialdehyde, malonic dialdehyde, malon-dialdehyde, malone dialdehyde, malonic aldehyde, and malonodialdehyde. We recommend that the editors of journals that publish papers with themes that are closely associated with plant stress specify in their instructions for authors their journal's preferable nomenclatural form of MDA. The plant abiotic stress community, including phytoremediation specialists, need to debate this topic with the objective of seeking a standardized nomenclatural form of MDA, which would help to fortify the integrity of searches in major databases by allowing all relevant literature to be accurately identified. Novelty statementMalondialdehyde (MDA), a product of lipid peroxidation that is often determined in stress-related phytoremediation research, has various forms to its name. These nomenclatural variations were assessed in PubMed-, Scopus-, and Web of Science-indexed literature. This is the first study to detect, report, quantify and debate these forms of MDA.

Methodological considerations in the open-plan office paradox: A systematic literature review

BACKGROUND: Several recent reports conclude that open-plan offices negatively impact workers across a variety of outcome measures. This contrasts to a corporate trend to move from cellular to open-plan layouts, often justified by the same outcomes. Two explanations for this paradox are proposed: (1) the results are more complicated than critical reports suggest, and (2) methodological biases make open-plan layouts look more negative than they are. OBJECTIVE: To evaluate the proposed explanations using a systematic literature review. METHODS: Google Scholar was used to find original research on the relationship between office openness and worker outcomes. 89 articles were coded for the variables and methods they used, and conclusions about the relationship between layout and outcomes were evaluated. RESULTS: The proposed explanations were partly supported. The relationship between layout openness and worker outcomes depends on the variables considered and the methods used, and a small subset of methods was used far more often than others. That said, more research is needed to evaluate impact of open-plan offices on worker outcomes. CONCLUSIONS: The relationship between office openness and worker outcomes varies widely depending on how it is measured. Several promising areas for future research may help clarify this relationship.

Energy Landscape and Renewable Energy Resources in Nigeria: A Review

Renewable energy resource utilisation is becoming more prevalent in society and can be a sustainable method to meet rising energy demand and consumption. The International Renewable Energy Agency reports that presently, approximately 33% of total electricity output around the world is from renewable energy sources. However, in Nigeria, the World Bank reported this figure as 18.2% in 2015. It is important to understand how Nigeria can raise this average as the world moves towards less use of fossil fuels. Therefore, the aim of this work was to provide a review of the established literature, which can then be used to support the development of renewable energy systems in Nigeria. The methodology employed for the study of the literature involved a systematic review method, including identification, screening, eligibility and inclusion criterium steps. Understanding the national energy landscape is essential to support potential projects, and consequently, energy supply, demand and consumption in Nigeria are observed. The review examined renewable energy sources in Nigeria with a focus on solar and biomass/bioenergy. The levelised cost of electricity from renewable technologies was analysed, and the paper identified and evaluated past projects centered on solar and biomass, presenting three main case studies. The results indicate that solar and biomass have the most potential for energy generation in Nigeria, with 4–6.5 kWh/m2 of solar irradiation available per day and approximately 2.3 × 109 GJ bioenergy potential per year. However, solar PV is currently of most interest in Nigeria due to the lower cost of on-grid solar PV electricity, which can comfortably compete with fossil fuels. Nevertheless, costs still need to be lowered to compete fully. Finally, the findings also indicate that there is an omission in the literature surrounding the existing renewable projects and technologies in Nigeria.

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.

Socio-cultural implications for women's menstrual health in the Pacific Island Countries and Territories (PICTs): a scoping review

BACKGROUND

Globally, experiences of menarche and subsequent menstruation are embedded in social and cultural beliefs, norms and practices. Menarche is an important developmental milestone in sexual and reproductive health (SRH) for females. Menarche is intertwined with socio-cultural norms, beliefs and practices, which can impact on women's ability to manage menstruation with dignity. This paper reviews the social and cultural factors that affect women's ability to effectively manage their menstrual health and hygiene (MHH) in Pacific Island Countries and Territories (PICTs).

METHODS

A scoping review was conducted following PRISMA scoping review guidelines and inclusion/exclusion criteria. An online search was conducted for peer-reviewed publications in Medline/OVID; Medline/PubMED; PsycINFO; CINAHL; Scopus and JSTOR, and Google Scholar. A search for grey literature was conducted in Google Scholar and websites of international and local organizations. Experts in the field also contributed additional references. Extracted data were summarised in an Excel spreadsheet. Searches were conducted between May and June, 2019, and then repeated in July, 2020.

RESULTS

A total of 11 studies were included; 10 qualitative and one mixed methods study. Studies were conducted in Melanesian (n = 9), Polynesian (n = 1) and Micronesian (n = 1) PICTs. All 11 studies reported elements of societal and personal factors; ten studies reported evidence relating to interpersonal factors; nine studies reported elements relating to environmental factors; and two studies presented evidence linked to biological factors. Managing menstrual health with dignity is challenging for many women and girls because menstruation is associated with menstrual taboos and shame.

CONCLUSION

This review found that the MHH experiences of women in PICTs are affected by social and cultural beliefs, norms and practices. Beliefs, norms and practices about menarche need to be incorporated in SRH planning, programs and education in order to be relevant to diverse village and urban settings.

What makes a plant-based diet? a review of current concepts and proposal for a standardized plant-based dietary intervention checklist

Within the last decades, plant-based diets have received increasing interest for their potential benefits to human and environmental health. The concept of plant-based diet, however, varies widely in its definition. Current definitions range from the exclusion of all animal products to diets that include meat, fish, and dairy in varying quantities. Therefore, the main objectives of this review were twofold: (a) to investigate how researchers use the term plant-based diet in nutrition intervention studies and (b) what types of food a plant-based diet may include. Searching two databases, we found that the term "plant-based diet" evokes varying ideas to researchers and clinicians. Fifty percent of the retrieved studies that included a plant-based dietary intervention completely proscribed animal products and used the term plant-based diet interchangeably with a vegan diet. In contrast, an ~33% of trials included dairy products and 20% of dietary interventions emphasized a semi-vegetarian dietary pattern. Based on specific examples, we point out how the usage of the umbrella term "plant-based diet" may cause significant ambiguity. We often encountered incomplete descriptions of plant-based dietary interventions, which makes comparison and reproducibility of studies difficult. As a consequence, we urge others to use the term "plant-based diet" only in conjunction with a detailed dietary description. To facilitate this process, we provide a template of a standardized plant-based intervention reporting checklist. Finally, the present review also highlights the urgent need for a consensus definition of the term plant-based diet and its content.

The Use of Simulators for Teaching Practical Clinical Skills to Veterinary Students - A Review

In the context of veterinary education, simulators are devices or sets of conditions aiming to imitate real patients and enable students to practice skills without the need for live animal use. Simulator use in veterinary education has increased significantly in recent years, allowing consistent practical teaching without reliance on clinical cases. This review examines the available literature regarding the use of simulation and simulators for teaching practical day one competences to veterinary students. Scientific databases were searched and 73 relevant articles were reviewed. The reviewed articles revealed that there are a number of simulators currently available to veterinary educators, that simulators can enhance student skills and provide an alternative learning environment without the need for live animal and/or cadaver use, and that they usually receive positive feedback from the students who use them. There appears to be a bias towards small animal simulators - however, some skills that are developed through the use of small animal or table-top models will be transferrable to other species. The majority of large animal simulators focus on bovine rectal palpation and/or pregnancy diagnosis. Further research is required to increase the repertoire of available simulators for use in veterinary education, in order to improve the practical skills of veterinary students and reduce the use of live animals and cadaver material for teaching purposes.

Evaluating Food Packaging Waste in Schools: A Systematic Literature Review

Public schools in the U.S. generate about 14,500 tons of municipal solid waste daily, and approximately 42% of that is food packaging generated by school foodservice, contributing significantly to the global packaging waste crisis. This literature review summarizes methods used to evaluate food packaging waste in school foodservice. This review has two objectives: first, to understand which methodologies currently exist to evaluate food packaging waste generation and disposal in school foodservice; and second, to describe the creation of and share a practical standardized instrument to evaluate food packaging waste generation and disposal in school foodservice. A systematic review was conducted using the following search terms: solid waste, school, cafeteria and food packaging, waste, and school. The final review included 24 studies conducted in school environments (kindergarten through twelfth grade or college/university), 16 of which took place in the U.S. Food packaging waste evaluations included objective methods of waste audits, models, and secondary data as well as subjective methods of qualitative observations, questionnaires, interviews, and focus groups. Large variation exists in the settings, participants, designs, and methodologies for evaluating school foodservice packaging waste. Lack of standardization was observed even within each methodology (e.g., waste audit). A new instrument is proposed to support comprehensive and replicable data collection, to further the understanding of school foodservice food packaging waste in the U.S., and to reduce environmental harms.

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.

An Assessment Approaches and Learning Outcomes in Technical and Vocational Education: A Systematic Review Using PRISMA

Technical and vocational education and training (TVET) assessments give precise feedback on whether students have successfully attained learning outcomes. It can improve teaching quality and empower students, educators, and stakeholders to take action. Only a few studies have attempted to review the literature on this topic systematically. The PRISMA (preferred reporting items for systematic reviews and meta-analysis) criteria are used to guide this systematic review, which uses the following three key databases: Web of Science (WoS), Scopus, and Google Scholar. A thorough search of the electronic database utilising keywords and search strings yielded 78 publications published between 2015 and 2021, with 29 studies related to the topic highlighted. The Mixed Methods Appraisal Tool is used to evaluate all of the chosen articles (MMAT). The findings reveal that students’ learning outcomes are frequently examined utilising a competency-based assessment technique in TVET. Competence is used to assess students’ learning results, and it is advised that student competency development be prioritised.

Metrics and methods in the evaluation of prestige bias in peer review: A case study in computer systems conferences

The integrity of peer review is essential for modern science. Numerous studies have therefore focused on identifying, quantifying, and mitigating biases in peer review. One of these better-known biases is prestige bias, where the recognition of a famous author or affiliation leads reviewers to subconsciously treat their submissions preferentially. A common mitigation approach for prestige bias is double-blind reviewing, where the identify of authors is hidden from reviewers. However, studies on the effectivness of this mitigation are mixed and are rarely directly comparable to each other, leading to difficulty in generalization of their results. In this paper, we explore the design space for such studies in an attempt to reach common ground. Using an observational approach with a large dataset of peer-reviewed papers in computer systems, we systematically evaluate the effects of different prestige metrics, aggregation methods, control variables, and outlier treatments. We show that depending on these choices, the data can lead to contradictory conclusions with high statistical significance. For example, authors with higher h-index often preferred to publish in competitive conferences which are also typically double-blind, whereas authors with higher paper counts often preferred the single-blind conferences. The main practical implication of our analyses is that a narrow evaluation may lead to unreliable results. A thorough evaluation of prestige bias requires a careful inventory of assumptions, metrics, and methodology, often requiring a more detailed sensitivity analysis than is normally undertaken. Importantly, two of the most commonly used metrics for prestige evaluation, past publication count and h-index, are not independent from the choice of publishing venue, which must be accounted for when comparing authors prestige across conferences.