Cumulative Knowledge Research Articles

Access to finance: The role of production level technology

The integration of robots and advanced technology in firm-level production processes represents a transformative shift in modern industrial practices. However, there is a lack of cumulative knowledge about the advancement of technology in the production processes affects mitigating the gender gap. Through the lens of financial accessibility, the study investigates how technological advancements influence firms' capacity to secure external financing and get large loans. Using the 2020 WorldBank Enterprises Survey data and a probit model for the analysis, our results suggest that industry robots and a high level of technology in production have the potential to reduce the gender gap in loan approvals. The findings of this have implications for decision-makers and policymakers, seeking to navigate the evolving landscape of technology-driven production and finance to enhance productivity and inclusivity.

Corpus linguistics will benefit from greater adoption of pre-registration: A novice-friendly split-corpus approach to pre-registration

In this brief article, I contend that the field of corpus linguistics stands to gain significantly from an increased adoption of pre-registration. Pre-registration serves to constrain the almost infinite degree of analytic freedom inherent in corpus analysis, thereby enhancing the transparency, reliability, and potential impact of corpus research. While pre-registration is increasingly popular in fields such as psychology and medicine, its uptake in corpus linguistics remains notably limited. To facilitate the transition toward pre-registration, I describe a straightforward split-corpus approach, ideally suited for corpus linguists new to pre-registration and for both hypothesis-testing and exploratory research. This method involves dividing a corpus into an exploratory set (20–40 % of the corpus) and a confirmatory set (the remaining 60–80 %). The exploratory set allows researchers to freely generate hypotheses and develop analysis plans, while the confirmatory set is then used for a more structured and objective analysis according to the pre-specified protocols. By employing this approach, corpus linguists can effectively balance exploratory flexibility with the rigour of confirmatory analysis, boosting the reliability of corpus findings. An increased uptake of pre-registration may not only bolster recognition of corpus linguistics as a robust empirical field, but it may also encourage a stronger emphasis on the building of cumulative knowledge.

Revisiting the Person-relative-to-Event (PrE) model of coping with threat: a study in the Azores (Portugal)

BackgroundApproximately 20 years have passed since the Person-relative-to-Event (PrE) Model of Coping with Threat was conceptualized. Despite its familiar name, this model has been under-researched. This study investigates the main assumptions of the PrE, identifies predictors of actual household earthquake adjustments in the absence of fear appeals using a non-experimental design, and proposes an alternative model: the Sequential Person-relative-to-Event Model of Coping with Threat (SPrE).MethodsA survey methodology was employed with self-completed questionnaires from 822 residents of the Azores, an earthquake-vulnerable location. The associations between variables were examined. Structural Equation Modeling was applied to test the PrE and SPrE models.ResultsActual household earthquake adjustment was associated with person, event, and person-relative-to-event appraisals, responsibility attributions, age, and educational level. There was a non-significant association with gender. Person-relative-to-event appraisal was a non-significant predictor of actual household earthquake adjustments and responsibility attributions did not moderate this relationship. We found that event appraisal predicted person appraisal and that its relationship with actual household earthquake adjustments was moderated by the responsibility attributions. Thus, a new hypothesis is proposed regarding the relationship between risk perception (equivalent to event appraisal) and actual household earthquake adjustments.ConclusionsThese results contribute to the literature, practice and cumulative scientific knowledge.

Anaphylaxis post-COVID-19 vaccinations in Singapore.

Anaphylaxis was the first serious adverse event (AE) of special interest surfaced in Singapore following coronavirus disease 2019 (COVID-19) vaccination. Individuals who developed physician-diagnosed severe allergic reactions to the mRNA vaccines would be medically ineligible for mRNA vaccines and offered non-mRNA alternatives. This paper describes anaphylaxis reports received by the Health Sciences Authority (HSA) and presents a review of individuals who received heterologous COVID-19 vaccination. Reports of anaphylaxis associated with the COVID-19 vaccines received till 31 July 2022 were reviewed and adjudicated using the Brighton Collaboration case definition criteria by an HSA-appointed expert panel. Additional review was conducted for cases with heterologous vaccination for any subsequent reactions until administration of third dose of COVID-19 vaccines. Among 112 adjudicated anaphylaxis cases, majority occurred in females, adults and persons with allergy histories, which were consistent with global observations. Most cases (71%) occurred within 30 minutes of vaccination. The reporting incidence rates (IRs) of 0.67 and 0.55 per 100,000 administered doses for Comirnaty and Spikevax vaccines, respectively, were comparable with IRs reported overseas, whereas the IRs for non-mRNA vaccines (Sinovac-CoronaVac and Nuvaxovid) were much higher at 4.14 and 29.82 per 100,000 administered doses, respectively, likely due to selection bias. Review of the 20 cases following heterologous vaccination found varying reactions to subsequent vaccinations. Anaphylaxis is a rare but serious AE in which outcomes can be mitigated with timely medical intervention. The case review helped to guide vaccination strategies and added to the cumulative knowledge of safety with heterologous vaccination.

Characterization of viroplasm-like structures by co-expression of NSP5 and NSP2 across rotavirus species A to J.

Rotaviruses (RVs) are classified into nine species, A-D and F-J, infecting mammals and birds. Due to the lack of research tools, all cumulative knowledge on RV replication is based on RV species A (RVA). The RV replication compartments are globular cytosolic structures named viroplasms, which have only been identified in RV species A. In this study, we examined the formation of viroplasm-like structures (VLSs) by the co-expression of NSP5 with NSP2 across RV species A to J. Globular VLSs formed for RV species A, B, D, F, G, and I, while RV species C formed filamentous structures. The RV species H and J did not form VLS with their cognates NSP5 and NSP2. Similar to RVA, NSP5 self-oligomerizes in all RV species, which is required for VLS formation. This study provides basic knowledge of the non-RVA replication mechanisms, which could help develop strategies to halt virus infection across RV species.

54 Development of an equine metabolism model to describe post-absorptive nutrient dynamics

Abstract Nutrition modelling is instrumental to modern feed formulation and diet optimization across livestock sectors. Mechanistic models of nutrient digestion, absorption, and metabolism are implemented in industry as ‘decision support systems’, and in academia to summarize and examine our cumulative biological knowledge, identify knowledge gaps and test/evaluate hypotheses. However, comparatively less progress in this field has been made in the equine sector. This limits the ability of the equine sector to address complex challenges such as interactions between equine nutrition, management, health, and welfare. To address this gap, a first iteration of a dynamic, deterministic, mechanistic model describing postabsorptive nutrient dynamics for equines has been developed. Model coding and development was performed using Python with specific libraries for mathematical equations and integration. This model was developed primarily based on extant published mechanistic models of protein and energy metabolism in other species. The present model simulates the partitioning of ingested nutrients into digested nutrients, through intermediary metabolism and ultimately to growth and deposition of protein, fat, water, and ash into the body compartments. As shown in Figure 1, the model takes digested nutrients (protein, fat, starch, glucose, volatile fatty acids) as inputs and contains 12 state variables divided into metabolite pools (amino acids, fatty acids, glucose, glycogen, acetyl-CoA, ATP), and body constituent pools (muscle protein, bone protein, hide protein, viscera protein, body fat, body ash). Ingested feed is partitioned into digested nutrients using digestibility coefficients from extant equine literature, and indigestible nutrients are excreted. Meta-analysis was used to develop empirical equations to predict VFA concentrations in the hindgut. VFA absorption is estimated using Michaelis-Menten kinetics including the pH and hindgut volume, assumed as a constant value for a mature horse Acetyl-CoA, a key intermediary metabolism pool, is produced from amino acid, glucose, and fatty acid catabolism and is consumed for maintenance requirements, which is accounted for in an ATP pool. The ATP pool is a ‘zero pool’, which balances the ATP producing and -consuming reactions in the model, with any remaining ATP balance required being pulled from the acetyl-CoA pool. Turnover of protein and fat is represented by differences in accretion and catabolism. Work is ongoing to evaluate the developed model for model performance using data extracted from the literature. The model will be trained and subsequently evaluated using equine studies in three main areas: growth and body composition, protein turnover and nitrogen balance, and energy metabolism. Developing this model for the equine sector will stimulate and assist in defining future research priorities, inform revisions to the nutrient requirements of horses, increase understanding of metabolic processes as well as related disorders, reduce waste via increased focus on precision feeding and support the development of new products and services to improve equine health.

Developing Surveys on Questionable Research Practices: Four Challenging Design Problems

AbstractThe exposure of scientific scandals and the increase of dubious research practices have generated a stream of studies on Questionable Research Practices (QRPs), such as failure to acknowledge co-authors, selective presentation of findings, or removal of data not supporting desired outcomes. In contrast to high-profile fraud cases, QRPs can be investigated using quantitative, survey-based methods. However, several design issues remain to be solved. This paper starts with a review of four problems in the QRP research: the problem of precision and prevalence, the problem of social desirability bias, the problem of incomplete coverage, and the problem of controversiality, sensitivity and missing responses. Various ways to handle these problems are discussed based on a case study of the design of a large, cross-field QRP survey in the social and medical sciences in Sweden. The paper describes the key steps in the design process, including technical and cognitive testing and repeated test versions to arrive at reliable survey items on the prevalence of QRPs and hypothesized associated factors in the organizational and normative environments. Partial solutions to the four problems are assessed, unresolved issues are discussed, and tradeoffs that resist simple solutions are articulated. The paper ends with a call for systematic comparisons of survey designs and item quality to build a much-needed cumulative knowledge trajectory in the field of integrity studies.

Revisiting research on the governance of interorganizational relationships

This essay re-examines the literature on the governance of interorganizational relationships, focusing on the insights of alliance research using transaction cost economics. Despite substantial progress, challenges arise because research has not devoted attention to some mechanisms of governance (i.e., administrative controls and supporting legal institutions) compared with others (i.e., incentives). Parties can develop bespoke collaborative agreements that mix and match various mechanisms of governance along these dimensions, rather than accessing a typical bundle commonly associated with a discrete organizational form. This conclusion challenges the iconic governance continuum and surfaces new methodological opportunities for this research stream. The essay also challenges what we think we know by identifying a variety of omitted variable problems that often crop up in governance research (e.g., focusing on the cooperative context of collaboration while not attending to the competitive context, excluding critical administrative structures when studying the interplay between contracts and trust, assuming transactional attributes are exogenous rather than endogenous to a search process, failing to account for shifting institutional supports for collaboration, etc.). By clarifying what we know and do not know about alliance governance, the essay identifies some pathways for developing more reliable, cumulative knowledge on interorganizational relationships.

Firms’ patenting and collective cumulative knowledge: evidence from the largest R&D investors in the world

ABSTRACT The article discusses R&D investments’ efficiency and intellectual property rights (IPR)’ suitability. There is a debate about whether IPR systems balance private knowledge returns’ appropriation and access to cumulative knowledge to feed technological progress, thus contributing to social welfare. We analyse private R&D expenses’ productivity in terms of inventiveness and investigate whether R&D investments generate knowledge that is of any use in further knowledge creation, examining the citations received by each patent family. Exploiting data about the largest R&D investors worldwide between 2007–2015, we find that R&D investments generate cited and uncited patents with approximately equal elasticities. We observe that an increasing number of patents do not contribute to collective knowledge creation because they are uncited. Eventually, uncited patents absorb more R&D resources than cited ones. Results are robust across industries and patent offices. We posit that uncited patents are socially undesirable and suggest implications for innovation policies.

Collaborating with Public Research Institutions: Using Strategic Intent and Co-Created Value to Gain Strategic Opportunities in New Product Development

ABSTRACT Purpose By collaborating with public research institutions, the paper seeks to understand how firms can leverage strategic intent and co-created value to gain strategic opportunities in new product development. Design/methodology/approach This study employed Eisenhardt’s case approach (1998) to develop a theory. Data was gathered through a semi-structured questionnaire administered to 40 personnel from public research institutions. The key informant, who possessed extensive experience in new product development and a deep understanding of partner firms’ motivations to collaborate, was also consulted. This primary data was supplemented with secondary data, including published information and field notes, to ensure a comprehensive research approach. Findings The results offer four propositions that can be explored further. First, the higher the strategic intent among PRI stakeholders, the higher the likelihood of strategic opportunities leading to new products. Second, the higher the co-created value in the NPD process, the higher the likelihood of strategic opportunities. Third, the higher the strategic intent and co-created value, the higher the strategic opportunities. Fourth, the higher the strategic intent and co-created value, the higher the likelihood of strategic opportunities. Such strategic opportunities may not have immediate desired commercial outcomes, but their cumulative knowledge could provide additional strategic opportunities for future NPD. Originality/value This research contributes to the business marketing literature by deepening our understanding of the potential strategic opportunities that can arise from firms Collaborating with public research institutions. It highlights the benefits of these institutions being more knowledge (as compared to profit) focused and how these collaborations can, directly and indirectly, lead to new product developments.

Primate hibernation: The past, present, and promise of captive dwarf lemurs.

The dwarf lemurs (Cheirogaleus spp.) of Madagascar are the only obligate hibernators among primates. Despite century-old field accounts of seasonal lethargy, and more recent evidence of hibernation in the western fat-tailed dwarf lemur (Cheirogaleus medius), inducing hibernation in captivity remained elusive for decades. This included the Duke Lemur Center (DLC), which maintains fat-tailed dwarf lemurs and has produced sporadic research on reproduction and metabolism. With cumulative knowledge from the field, a newly robust colony, and better infrastructure, we recently induced hibernation in DLC dwarf lemurs. We describe two follow-up experiments in subsequent years. First, we show that dwarf lemurs under stable cold conditions (13°C) with available food continued to eat daily, expressed shallower and shorter torpor bouts, and had a modified gut microbiome compared to peers without food. Second, we demonstrate that dwarf lemurs under fluctuating temperatures (12-30°C) can passively rewarm daily, which was associated with altered patterns of fat depletion and reduced oxidative stress. Despite the limitations of working with endangered primates, we highlight the promise of studying hibernation in captive dwarf lemurs. Follow-up studies on genomics and epigenetics, metabolism, and endocrinology could have relevance across multidisciplinary fields, from biomedicine to evolutionary biology, and conservation.

Representation of Social Determinants of Health terminology in medical subject headings: impact of added terms.

To enhance and evaluate the quality of PubMed search results for Social Determinants of Health (SDoH) through the addition of new SDoH terms to Medical Subject Headings (MeSH). High priority SDoH terms and definitions were collated from authoritative sources, curated based on publication frequencies, and refined by subject matter experts. Descriptive analyses were used to investigate how PubMed search details and best match results were affected by the addition of SDoH concepts to MeSH. Three information retrieval metrics (Precision, Recall, and F measure) were used to quantitatively assess the accuracy of PubMed search results. Pre- and post-update documents were clustered into topic areas using a Natural Language Processing pipeline, and SDoH relevancy assessed. Addition of 35 SDoH terms to MeSH resulted in more accurate algorithmic translations of search terms and more reliable best match results. The Precision, Recall, and F measures of post-update results were significantly higher than those of pre-update results. The percentage of retrieved publications belonging to SDoH clusters was significantly greater in the post- than pre-update searches. This evaluation confirms that inclusion of new SDoH terms in MeSH can lead to qualitative and quantitative enhancements in PubMed search retrievals. It demonstrates the methodology for and impact of suggesting new terms for MeSH indexing. It provides a foundation for future efforts across behavioral and social science research (BSSR) domains. Improving the representation of BSSR terminology in MeSH can improve PubMed search results, thereby enhancing the ability of investigators and clinicians to build and utilize a cumulative BSSR knowledge base.

Research Paper on Artificial Intelligence

Artificial Intelligence (AI) has emerged as a transformative force across various sectors, revolutionizing processes, enhancing efficiency, and redefining innovation. This research paper delves into the multifaceted landscape of AI, focusing on its applications, knowledge representation, and implications for innovation. The paper begins by exploring the diverse applications of AI across healthcare, gaming, finance, data security, social media, robotics, and e-commerce. In healthcare, AI aids in diagnosis and patient care, while in gaming, it enables strategic game play and enhances user experience. The finance sector leverages AI for automation, analytics, and algorithmic trading, improving decision-making and customer service. AI also plays a vital role in ensuring data security through advanced detection systems, manages vast social media data for enhanced user engagement, and drives innovation in robotics and e-commerce. Moving forward, the paper delves into the realm of expert systems and knowledge representation, elucidating the role of AI in simulating human expertise and modeling complex information structures. It discusses various aspects of knowledge representation, such as propositional knowledge representation, image retrieval, functional relationships between objects, and class representation formalism, highlighting their significance in developing intelligent systems. Furthermore, the paper examines the integration of AI in maintenance practices, both for tangible systems like engineering workshops and intangible products like data extraction wrappers. It underscores the importance of AI in optimizing operational efficiency, reducing downtime, and ensuring continuous data extraction. Lastly, the paper explores the concept of deep learning as a general- purpose invention, discussing its potential implications for innovation, management, institutions, and policy. It addresses key issues such as the management and organization of innovation, intellectual property rights, competition policy, and the cumulative knowledge production facilitated by deep learning. In conclusion, this research paper provides a comprehensive overview of AI's transformative potential, emphasizing the need for further research and analysis to fully comprehend its impact on society, economy, and innovation.

The role of BACP in maximising the potential of counselling and psychological therapies research in the UK: Benefitting clients, communities, and societies

AbstractThe British Association for Counselling and Psychotherapy (BACP) is the largest professional membership body within the field of counselling and psychological therapies in the UK, but there is a mismatch between its membership of >65,000 and its research impact. This article sets out a potential strategic direction as considered by an informal grouping of researchers and teachers in the field. Actionable research plans are outlined at three levels: client–practitioner, local communities, and societies. At the client–practitioner level, data‐informed practice can be readily implemented as a therapeutic aid akin to supervision, providing the potential for integrating research into everyday practice. At the community level, interdisciplinary collaborations together with a focus on equality, diversity, and inclusiveness are paths to building a community of researchers and citizens that includes marginalised populations. The importance of social justice extends to the societal level, connecting with politics at a micro and macro level, and engaging internationally to respond to actual threats (e.g., climate change). Across these three levels, high value is placed on data with its potential for informing and improving practice, but also enhancing the lives of people in communities and societies. Overall, research strategies need to be collaborative (i.e., collegial) and less singular (i.e., individually project‐based), developing cumulative knowledge around specific topics via a ‘capture and build’ strategy for small projects with strategic oversight by BACP. Clarity of research strategy combined with collaborative and collective action from BACP and leaders in the field can help realise the full potential of BACP's research capacity.

The Transmission of Cumulative Cultural Knowledge — Towards a Social Epistemology of Non-Testimonial Cultural Learning

ABSTRACT Cumulative cultural knowledge (CCK), the knowledge we acquire via social learning and has been refined by previous generations, is of central importance to our species’ flourishing. Considering its importance, we should expect that our best epistemological theories can account for how this happens. Perhaps surprisingly, CCK and how we acquire it via cultural learning has only received little attention from social epistemologists. Here, I focus on how we should epistemically evaluate how agents acquire CCK. After sampling some reasons why extant theories cannot account for CCK, I suggest that things aren’t as bleak as they might look. I explain how agents deserve epistemic credit for how CCK is transmitted in cultural learning by promoting a central need of their social group: the efficient and safe transmission of CCK. A good initial fit exists between this observation and Greco’s knowledge-economy framework. Ultimately, however, Greco’s account doesn’t straightforwardly account for CCK because of its strict focus on testimony. I point out two issues in the framework due to this focus. The resulting view advocates giving epistemic credit to agents when they act to promote their communities’ epistemic needs in the right way and highlights the various ways in which agents come to do this.

Bibliometric analysis of genetic counseling publications in Asia: Insights and implications

PurposeInvestigation of genetic counseling-related published papers offers a historical assessment of the cumulative scientific knowledge produced by members of the profession and can be the basis for future practice, training, and research. This paper aims to present a bibliometric analysis of genetic counseling publications in Asia. MethodsWe conducted a bibliometric analysis of genetic counseling-related manuscripts published in Asia from 1947 to 2023. We excluded articles published in 2024 given an incomplete year of data source. The articles were retrieved through the Scopus database using the search terms “genetic counsel∗” OR “genomic counsel∗” in the article titles. The bibliographic information was downloaded and analyzed descriptively through Microsoft Excel. Network visualization was done through VOSViewer. ResultsA total of 449 genetic counseling-related publications authored by at least one researcher from Asian countries were identified. The most common publication type was original articles (332, 74%) and a total of 299 manuscripts were published from 2012 to 2023, representing 66.5% (299/449) of total publications. Among Asian countries, India had the highest number of publications accounting for 19.4% of the total (n = 87) and publications from Israel had the most citations (n = 1882). Out of the 29 Asian countries represented in the document corpus, 15 have links with other Asian countries. The most common keywords used are genetic counseling, prenatal diagnosis, genetic counselling, genetic testing, and genetics. ConclusionThere is an overall increase in the number of genetic counseling publications authored by at least one researcher affiliated with an Asian institution. This increase has corresponded to various developments in genetic counseling in the continent and is possibly driven by collaboration between and among Asian researchers and other researchers outside of Asia. The analysis of keywords also shows the evolution of topics of genetic counseling publications which also corresponded to the development of genetic counseling as a profession in the region.

Theory testing and replication studies in the global work domain

Global work—any work arrangement that spans multiple countries and involves employees who are collaborating with one another, are culturally diverse and often are geographically dispersed—is a fascinating and timely research domain given the current social, technological, and geopolitical landscape. It may therefore be particularly tempting to explore novel theories and phenomena, and we have indeed seen a proliferation of new theories over recent years. However, we argue the global work domain needs to balance new theory development more carefully with theory testing and replication if it is to build cumulative scientific knowledge. In this editorial, we review established models and newer theories of global work that offer opportunities for theory testing, including (a) expatriate adjustment and adaptation theories, (b) models of global leadership effectiveness and expatriate managerial behavior, and (c) frameworks of global career consequences. We also identify existing empirical studies, whose replications would help advance the global work domain. This involves (a) deductively testing inductively developed models, (b) expanding existing studies to other types of global workers or adding meaningful new variables to a conceptual model that was examined, (c) using alternative methodological approaches to assess the predictions or research questions, or (d) adopting novel measures.

Mapping the scientific knowledge and approaches to defining and measuring hate crime, hate speech, and hate incidents: A systematic review.

Mapping the scientific knowledge and approaches to defining and measuring hate crime, hate speech, and hate incidents: A systematic review.

Thinking Transtheoretically About Alliance and Rupture: Implications for Practice and Training.

Repairing alliance ruptures has the potential to serve as a powerful mechanism of change in psychotherapy. In this article, a transtheoretical individual-specific framework for repairing alliance ruptures is proposed. According to the proposed framework, at the intake session, the therapist evaluates the trait-like tendencies of individual patients to face ruptures in interpersonal relationships. We propose a typology based on which patients are assigned to one of the following therapeutic strategies: (a) a treatment where alliance rupture and repair is the main mechanism of change (Type A), (b) an added module that augments another treatment, focusing on rupture and repair (Type B), or (c) treatment where no rupture resolution work is carried out (Type C). The proposed framework is based on cumulative clinical knowledge, and its validity and utility need to be assessed in future research.

The Folding Pathway of ABC Transporter CFTR: Effective and Robust

De novo protein folding into a native three-dimensional structure is indispensable for biological function, is instructed by its amino acid sequence, and occurs along a vectorial trajectory. The human proteome contains thousands of membrane-spanning proteins, whose biosynthesis begins on endoplasmic reticulum-associated ribosomes. Nearly half of all membrane proteins traverse the membrane more than once, including therapeutically important protein families such as solute carriers, G-protein-coupled receptors, and ABC transporters. These mediate a variety of functions like signal transduction and solute transport and are often of vital importance for cell function and tissue homeostasis. Missense mutations in multispan membrane proteins can lead to misfolding and cause disease; an example is the ABC transporter Cystic Fibrosis Transmembrane Conductance Regulator (CFTR). Even though our understanding of multispan membrane-protein folding still is rather rudimental, the cumulative knowledge of 20 years of basic research on CFTR folding has led to development of drugs that modulate the misfolded protein. This has provided the prospect of a life without CF to the vast majority of patients. In this review we describe our understanding of the folding pathway of CFTR in cells, which is modular and tolerates many defects, making it effective and robust. We address how modulator drugs affect folding and function of CFTR, and distinguish protein stability from its folding process. Since the domain architecture of (mammalian) ABC transporters are highly conserved, we anticipate that the insights we discuss here for folding of CFTR may lay the groundwork for understanding the general rules of ABC-transporter folding.