bluuebunny/crossref_metadata_2025_split huggingface dataset:
Artificial intelligence for literature reviews: opportunities and challenges
Authors: Bolaños Francisco , Salatino Angelo , Osborne Francesco , Motta Enrico 
Published: August 2024

AbstractThis paper presents a comprehensive review of the use of Artificial Intelligence (AI) in Systematic Literature Reviews (SLRs). A SLR is a rigorous and organised methodology that assesses and integrates prior research on a given topic. Numerous tools have been developed to assist and partially automate the SLR process. The increasing role of AI in this field shows great potential in providing more effective support for researchers, moving towards the semi-automatic creation of literature reviews. Our study focuses on how AI techniques are applied in the semi-automation of SLRs, specifically in the screening and extraction phases. We examine 21 leading SLR tools using a framework that combines 23 traditional features with 11 AI features. We also analyse 11 recent tools that leverage large language models for searching the literature and assisting academic writing. Finally, the paper discusses current trends in the field, outlines key research challenges, and suggests directions for future research. We highlight three primary research challenges: integrating advanced AI solutions, such as large language models and knowledge graphs, improving usability, and developing a standardised evaluation framework. We also propose best practices to ensure more robust evaluations in terms of performance, usability, and transparency. Overall, this review offers a detailed overview of AI-enhanced SLR tools for researchers and practitioners, providing a foundation for the development of next-generation AI solutions in this field.
Multi-source ensemble method with random source selection for virtual metrology
Authors: Zhang Gejia , Wang Tianhui , Baek Jaeseung , Jeong Myong-Kee , Seo Seongho , Choi Jaekyung 
Published: August 2024

AbstractIn the era of Industry 4.0, the complexity of semiconductor production is growing very fast, raising the possibility of unnoticed defective wafers and subsequent wasteful use of resources. One of the key advantages of Industry 4.0 is the accessibility to big data, which can be obtained from a number of sensors, including multiple sensor data and extensive data repositories. Recently, engineers have developed data fusion strategies for virtual metrology (VM) prediction models to effectively handle data from multiple sources. This research explores a novel approach for data-driven VM prediction model for multi-source data, namely multi-source ensemble method with random source selection. By utilizing the bagging principle for multi-source data and tree-based prediction paradigms, the proposed approach randomly selects subsets of data sources to construct each tree learner, thus reducing interdependence among the trees and minimizing the risk of overfitting, which can be a challenge faced by existing tree-based prediction models. To validate and illustrate the practical applicability of our proposed method, we use real-world data from the plasma etching process, aiming to provide potential benefits and effectiveness of our methodology.
Symphony of Success: Leader-Practitioner Reciprocity during Evidence-Based Practice Implementation
Authors: Egeland Karina Myhren , Sklar Marisa , Aarons Gregory A. , Ehrhart Mark G. , Skar Ane-Marthe Solheim , Borge Randi Hovden 
Published: August 2024

AbstractThis study aimed to explore the reciprocal relationships between implementation leadership and practitioner implementation citizenship behavior during the implementation of evidence-based practices (EBPs). Data were collected at two timepoints with a time lag of six months during a national implementation of evidence-based treatment for post-traumatic stress disorder in Norwegian mental health clinics. Data from 72 leaders and 346 practitioners were analyzed with a two-wave cross-lagged panel model, accounting for the nested structure and adjusting for demographic variables. Significant positive autoregressive effects for both implementation leadership and implementation citizenship behavior indicated some stability in ratings across time. Significant cross-lagged effects in both directions indicated that practitioners who experienced greater implementation leadership from their leaders demonstrated greater implementation citizenship behavior six months later, and vice versa. Findings hence supported both the social exchange hypothesis and the followership hypothesis, suggesting reciprocal associations between the constructs. The findings underscore the mutually influential relationship between leaders’ behavior and practitioners’ engagement in citizenship behavior during EBP implementation. The study emphasizes the importance of interventions focusing on leadership behaviors that encourage practitioner engagement and mutually beneficial behavior patterns, highlighting the reciprocal and vital roles that both leaders and practitioners play in successful EBP implementation.
Metabolic Monitoring for Adults Living with a Serious Mental Illness on a Second-Generation Antipsychotic Agent: A Scoping Review
Authors: Bui Tien Ngoc Thi , Au Ruby Tszwai , Janetzki Jack Luke , McMillan Sara S. , Hotham Elizabeth , Suppiah Vijayaprakash 
Published: August 2024

AbstractPremature mortality in people living with a severe mental illness (SMI) is often attributed to multiple factors including the use of medicines such as antipsychotics. Second-generation antipsychotics (SGAs) are known to cause metabolic syndrome which can increase the risk of cardiovascular disease. Practice guidelines have recommended regular physical health monitoring, particularly of metabolic parameters, however, metabolic monitoring for people living with SMI using antipsychotics remains suboptimal. Therefore, highlighting the need for ongoing research. This scoping review aimed to provide an overview of current metabolic monitoring practices. We anticipate that this information will assist clinicians and policymakers and inform future research. The following databases were searched: MEDLINE (Ovid), Embase (Ovid), CINAHL (EBSCO), the Cochrane Database of Systemic Reviews (Wiley), APA PsycInfo (Ovid) and Scopus (Elsevier Science Publishers). The target group was adults (aged ≥ 18) diagnosed with SMI (including bipolar disorder, major depressive disorder and psychotic disorders) and taking SGAs. In total, 44 studies from 14 countries were retrieved. Our findings highlighted that most studies conducted in hospitals did not report on metabolic monitoring practices. Additionally, the roles and responsibilities of healthcare professionals in metabolic monitoring for SMI were infrequently described and parameters such as waist circumference and BMI were often poorly monitored. The scoping review highlights that no streamlined approach towards metabolic monitoring currently exists. There is a need to stipulate and define the roles and responsibilities of all health professionals involved in metabolic monitoring in SMI to optimise care for these individuals. Moreover, there is a need for ongoing research, particularly in the community setting, to promote increased accessibility to metabolic monitoring for SMI.
Kynurenic acid protects against ischemia/reperfusion injury by modulating apoptosis in cardiomyocytes
Authors: Gáspár Renáta , Nógrádi-Halmi Dóra , Demján Virág , Diószegi Petra , Igaz Nóra , Vincze Anna , Pipicz Márton , Kiricsi Mónika , Vécsei László , Csont Tamás 
Published: August 2024

AbstractAcute myocardial infarction, often associated with ischemia/reperfusion injury (I/R), is a leading cause of death worldwide. Although the endogenous tryptophan metabolite kynurenic acid (KYNA) has been shown to exert protection against I/R injury, its mechanism of action at the cellular and molecular level is not well understood yet. Therefore, we examined the potential involvement of antiapoptotic mechanisms, as well as N-methyl-D-aspartate (NMDA) receptor modulation in the protective effect of KYNA in cardiac cells exposed to simulated I/R (SI/R). KYNA was shown to attenuate cell death induced by SI/R dose-dependently in H9c2 cells or primary rat cardiomyocytes. Analysis of morphological and molecular markers of apoptosis (i.e., membrane blebbing, apoptotic nuclear morphology, DNA double-strand breaks, activation of caspases) revealed considerably increased apoptotic activity in cardiac cells undergoing SI/R. The investigated apoptotic markers were substantially improved by treatment with the cytoprotective dose of KYNA. Although cardiac cells were shown to express NMDA receptors, another NMDA antagonist structurally different from KYNA was unable to protect against SI/R-induced cell death. Our findings provide evidence that the protective effect of KYNA against SI/R-induced cardiac cell injury involves antiapoptotic mechanisms, that seem to evoke independently of NMDA receptor signaling.
Scientific knowledge of the Cinnamon River prawn Macrobrachium acanthurus and future perspectives for aquaculture
Authors: Hernández Hernández Luis Héctor , Powell Madison S. , Gómez Susana Alejandra Frías , Jacinto Edilmar Cortes , Villasante Fernando Vega 
Published: August 2024

AbstractThe cinnamon river shrimp (Macrobrachium acanthurus) is distributed along the Atlantic Ocean, from the United States to Brazil. This species represents important resources for local communities of fishermen, but natural populations are facing a progressive decline. For several years, the aquaculture supplementation of this species has been suggested as an alternative to fisheries. M. acanthurus presents several characteristics that make it a suitable species for aquaculture, such as resistance to changes in environmental conditions, reproduction all year round, high fecundity, low aggressivity, and disease resistance. Despite this, the development of culture is, at best, at the stage of research and has been related to the difficulty of the larval stage rearing. Considering this, the review presents the actual knowledge regarding the environmental and biological conditions of M. acanthurus that might help to advance its culture. The information is presented in several parts, which include the species description, environmental conditions, reproduction, larvae and juvenile stages, culture experience, and diseases. Finally, some considerations are given to cover the gaps in the knowledge that are required to be researched.
Evaluation of follow-up colposcopy procedures after abnormal cervical screening result across a statewide study in Mississippi
Authors: Reaves Sydney , Hall Katherine C. , Stewart Mary W. , Wentzensen Nicolas , Ferrell Christina , Risley Carolann , Wells Jimmie , Rives Rhonda , Bobo Fajada , Daniels Jon , Farrington Kathy , Morgan Jody C. , Clarke Megan A. 
Published: August 2024

Abstract
Purpose
Cervical screening is used to detect and treat precancers to prevent invasive cancers. However, successful prevention also requires adequate follow-up and treatment of individuals with abnormal screening results. The aim was to investigate demographics, clinical characteristics, and follow-up status for individuals needing colposcopy after an abnormal screening result.

Methods
The STRIDES (Studying Risk to Improve DisparitiES) cohort comprises individuals undergoing cervical cancer screening and management at a Mississippi Health Department or University of Mississippi clinic. Follow-up status, demographics, and clinical data were assessed from electronic health records and, if necessary, patient navigation on individuals identified as needing a colposcopy after an abnormal screening.

Results
Of the 1,458 individuals requiring colposcopy, 43.0% had the procedure within 4 months, 16.4% had a delayed procedure, and 39.5% had no documented colposcopy follow-up, with significant predictors of follow-up identified as age and cytology diagnosis. Individuals 30 + were more likely to have follow up with a colposcopy compared to individuals < 30 years (49% and 38.7%, respectively; p < .001). Individuals with cytology diagnoses of LSIL (52.9%), ASC-H (51.4%), and HSIL (62.3%) had higher percentages of adherence to follow-up guidelines (p < .001). In total, we found that 78% of individuals had some type of follow-up, including a repeat screening visit.

Conclusion
Despite high cervical cancer screening rates among Mississippians, a substantial proportion did not have adequate next-step intervention. However, it is encouraging that highest risk individuals were more likely to have a colposcopy. Regardless, continuing to understand the underlying causes for incomplete follow-up is crucial for timely secondary targeted interventions to reduce cervical cancer burden, promote awareness, and improve health outcomes.
Tissue factor pathway inhibitor-2 (TFPI-2)—an underappreciated partaker in cancer and metastasis
Authors: Wojtukiewicz Marek Z. , Mysliwiec Marta , Tokajuk Anna , Kruszewska Joanna , Politynska Barbara , Jamroze Anmbreen , Wojtukiewicz Anna M. , Tang Dean G. , Honn Kenneth V. 
Published: August 2024

AbstractThe coagulation system is known to play an important role in cancer development and metastasis, but the precise mechanisms by which it does so remain incompletely understood. With this in mind, we provide an updated overview of the effects of TFPI-2, a protease inhibitor, on cancer development and metastasis. TFPI-2 interacts with the thrombin cascade and also employs other mechanisms to suppress cancer growth and dissemination, which include extracellular matrix stabilization, promotion of caspase-mediated cell apoptosis, inhibition of angiogenesis and transduction of intracellular signals. Down-regulation of TFPI-2 expression is well documented in numerous types of neoplasms, mainly via promoter methylation. However, the exact role of TFPI-2 in cancer progression and possible approaches to up-regulate TFPI-2 expression warrant further studies. Strategies to reactivate TFPI-2 may represent a promising direction for future anticancer studies and therapy development.
Online CBT Versus Standard CBT for Pediatric Obsessive-Compulsive Disorder
Authors: Weidle Bernhard , Babiano-Espinosa Lucía , Skokauskas Norbert , Wolters Lidewij H. , Henriksen Marit , Arntzen Jostein , Skare Anne , Ivarsson Tord , Groff Tricia , Skarphedinsson Gudmundur 
Published: August 2024

AbstractObsessive-compulsive disorder (OCD), characterized by recurring obsessions and compulsions, affects 1–3% of the childhood population, often leading to severe impairment and reduced quality of life. Cognitive behavioral therapy (CBT) is well-documented as first choice treatment for pediatric OCD. Traditionally delivered face-to-face CBT has limitations in terms of accessibility, availability, and quality of delivery. Online CBT using video conferencing (online-CBT) at home aims to address some of these barriers. In this pilot study, we aimed to compare acceptability, feasibility and effectiveness of online CBT against face-to-face CBT. Online CBT outcomes of 29 children with OCD were analyzed benchmarked against outcomes of face-to-face CBT (n = 269) from the Nordic Long-term OCD Treatment Study, the largest CBT follow up study in pediatric OCD to date. Acceptability rated by online CBT participants and their parents was very high (Client Satisfaction Questionnaire total scores about 30, range 8–32). Feasibility assessed as dropout rate was comparable to NordLOTS (10.3% versus 9.7%). The online CBT group compared to NordLOTS showed a higher response rate (90% versus 60%; p = .002) and remission rate (81% versus 53%; p = .231). Our results suggest that the trusting therapeutic relationship necessary for demanding exposure-based treatment can be established by online CBT. Online CBT seems to be at least as effective in reducing OCD symptoms than standard CBT. Trial ID: ISRCTN37530113.
The AIR and Apt-AIR Frameworks of Epistemic Performance and Growth: Reflections on Educational Theory Development
Authors: Barzilai Sarit , Chinn Clark A. 
Published: August 2024

AbstractThe nurturing of learners’ ways of knowing is vital for supporting their intellectual growth and their participation in democratic knowledge societies. This paper traces the development of two interrelated theoretical frameworks that describe the nature of learners’ epistemic thinking and performance and how education can support epistemic growth: the AIR and Apt-AIR frameworks. After briefly reviewing these frameworks, we discuss seven reflections on educational theory development that stem from our experiences working on the frameworks. First, we describe how our frameworks were motivated by the goal of addressing meaningful educational challenges. Subsequently, we explain why and how we infused philosophical insights into our frameworks, and we also discuss the steps we took to increase the coherence of the frameworks with ideas from other educational psychology theories. Next, we reflect on the important role of the design of instruction and learning environments in testing and elaborating the frameworks. Equally important, we describe how our frameworks have been supported by empirical evidence and have provided an organizing structure for understanding epistemic performance exhibited in studies across diverse contexts. Finally, we discuss how the development of the frameworks has been spurred by dialogue within the research community and by the need to address emerging and pressing real-world challenges. To conclude, we highlight several important directions for future research. A common thread running through our work is the commitment to creating robust and dynamic theoretical frameworks that support the growth of learners’ epistemic performance in diverse educational contexts.
Recommendations for analysing and meta-analysing small sample size software engineering experiments
Authors: Kitchenham Barbara , Madeyski Lech 
Published: August 2024

Abstract
Context
Software engineering (SE) experiments often have small sample sizes. This can result in data sets with non-normal characteristics, which poses problems as standard parametric meta-analysis, using the standardized mean difference (StdMD) effect size, assumes normally distributed sample data. Small sample sizes and non-normal data set characteristics can also lead to unreliable estimates of parametric effect sizes. Meta-analysis is even more complicated if experiments use complex experimental designs, such as two-group and four-group cross-over designs, which are popular in SE experiments.

Objective
Our objective was to develop a validated and robust meta-analysis method that can help to address the problems of small sample sizes and complex experimental designs without relying upon data samples being normally distributed.

Method
To illustrate the challenges, we used real SE data sets. We built upon previous research and developed a robust meta-analysis method able to deal with challenges typical for SE experiments. We validated our method via simulations comparing StdMD with two robust alternatives: the probability of superiority ($$\hat{p}$$

p
^

) and Cliffs’ d.

Results
We confirmed that many SE data sets are small and that small experiments run the risk of exhibiting non-normal properties, which can cause problems for analysing families of experiments. For simulations of individual experiments and meta-analyses of families of experiments, $$\hat{p}$$

p
^

and Cliff’s d consistently outperformed StdMD in terms of negligible small sample bias. They also had better power for log-normal and Laplace samples, although lower power for normal and gamma samples. Tests based on $$\hat{p}$$

p
^

always had better or equal power than tests based on Cliff’s d, and across all but one simulation condition, $$\hat{p}$$

p
^

Type 1 error rates were less biased.

Conclusions
Using $$\hat{p}$$

p
^

is a low-risk option for analysing and meta-analysing data from small sample-size SE randomized experiments. Parametric methods are only preferable if you have prior knowledge of the data distribution.
Data vs. Derision: The Ethics of Language in Scientific Publication. The Younger Dryas Impact Hypothesis as a Case Study
Authors: Powell James Lawrence 
Published: August 2024

AbstractThroughout the history of science, novel ideas that diverge from mainstream thought have often been met with condemnation, derision, and ad hominem attacks. These reactions have sometimes led to the premature rejection of such ideas, only for them to be later revived and even accepted as the prevailing paradigm. While robust debate is essential in science, the use of derogatory language is unethical, for it discourages research on existing hypotheses, deters funders, corrupts the scientific record, and delays or prevents the advancement of science. In this article, I discuss the case of unethical language repeatedly used against proponents of the hypothesis that an extraterrestrial impact event triggered the Younger Dryas cool period.
The Influence of Trait Mindfulness and Self-Regulatory Efficacy on Academic Cheating Intention
Authors: Armanyous Christina , Paparo Josephine 
Published: August 2024

AbstractAcademic cheating is a pervasive issue in tertiary education, with implications for the competency of university graduates and their future ethical workplace behavior. Past research indicates that understanding academic cheating according to its different levels of severity allows for a more nuanced understanding of its aetiological factors, and an investigation into dispositional traits can further aid this. The primary aim of this study was to explore the synergistic relationships between trait mindfulness, self-regulatory efficacy, and academic cheating intention using purpose-designed vignettes, with a view to providing a foundation for the development of targeted academic cheating interventions. The secondary aim of this study was to examine these relationships in the context of minor and serious academic cheating intention (MACI and SACI), to better capture the nuances of academic cheating. First-year university students from an Australian university (N = 200) completed a questionnaire measuring trait mindfulness and self-regulatory efficacy and responded to vignettes corresponding to MACI and SACI. The results of this study indicated that high self-regulatory efficacy was correlated with low overall academic cheating intention (OACI), as well as lower MACI and SACI. Self-regulatory efficacy also amplified relations between trait mindfulness and OACI, such that high trait mindfulness was associated with lower OACI, in the context of high self-regulatory efficacy. This result was replicated for MACI, but not SACI. Interestingly, no direct associations were found between trait mindfulness and any of the measures of academic cheating intention. These results highlight the necessity of developing nuanced understandings of academic cheating. They further point to the potential role of self-regulatory skills in developing future interventions, while de-emphasizing the relevance previously attributed to mindfulness in supporting students at risk of academic misconduct.