bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of institutional review board stipulations on turnaround time for approvals of surgical studies
Authors: Vazirani Aniket , Castagne‐Charlotin Myriam , Akpoviroro Ogheneyoma , Malikova Marina A. 
Published: December 2023

AbstractBackgroundWe have examined the number and types of stipulations received following the submission of surgical study protocols to the Institutional Review Boards (IRBs) for review, and their effect on turnaround time for approval. This analysis will enable our organization to improve the quality of applications and design of study protocols, which can streamline the approval process and increase efficiency of the startup phase for clinical research.MethodsIRB stipulations for 48 surgical studies were analyzed. Various factors were assessed: surgical specialty, type of study by design, clinical trial phase, type of investigational product, type of IRB utilized (local or centralized), study complexity score, type of review (e.g., exempt, expedited, or full board), turnaround time, and number of stipulations received. Statistical analyses were performed to examine associations between the number/type of stipulations received during the IRB review process and any of the aforementioned study‐related factors.ResultsFor analyzed surgical studies, the number of stipulations allotted to a study and time taken for approval had moderate association with the complexity of the study. The turnaround time for approval was the highest for randomized, controlled trials and studies undergoing full board review.ConclusionThis study elucidates characteristics that are associated with increased time for IRB approval. Analysis of IRB stipulations can help improve the turnaround time for the approval process, increase efficiency of startup phase, and transition to execution phase faster, which will allow more time for enrollment of research subjects, and increase return on investment made into research and development programs.
Developing Misinformation Immunity in a Post-Truth World: Human Computer Interaction for Data Literacy
Authors: Musi Elena , O’Halloran Kay L. , Carmi Elinor , Yates Simeon 
Published: December 2023

AbstractThe Networked Society has brought about opportunities, such as citizens’ journalism, as well as challenges, such as the proliferation of media distortions. To keep up which such a sheer amount of (mis)information, citizens need to develop critical media literacy. We believe that, even though not enough to guarantee a gatekeeping process, human-computer interaction can help users develop epistemic vigilance. To this sake, we present the Fake News Immunity chatbot, designed to teach users how to recognize misinformation leveraging Fallacy Theory. Fallacies, arguments which seem valid but are not, constitute privileged viewpoints for the identification of misinformation. We then evaluate the results of the chatbot as an educational tool through a gamification experience with two cohorts of students and discuss achieved learning outcomes as well as recommendations for future improvement.
Fixed orthodontic appliances and adolescents’ peer relations in school
Authors: Kruse Teresa , Graf Isabelle , Braumann Bert , Kruse Hanno , Kroneberg Clemens 
Published: December 2023

Abstract
Purpose
Studies from the 1970s and 1980s, but also recent investigations on social media suggest that wearing a fixed orthodontic appliance can be a cause of bullying and social exclusion. With the greater uptake of orthodontic treatment in recent decades, it can be assumed that fixed braces are increasingly perceived as normal or even socially desirable. This study investigated how wearing visible fixed braces affects adolescents’ social position in their peer networks using cross-sectional survey data.

Methods
A total of 3002 students in the seventh grade (ages 12/13) at 39 secondary schools were asked about their social relationships in school. These directed network data were used to compare different indegrees (friendship, popularity and victimisation) of students with and without fixed braces. Statistical analyses were performed using ordinary least squares multiple regression models with school cohort fixed effects.

Results
In all, 19% of the surveyed students indicated that they wear visible fixed braces. Girls with fixed braces were slightly more likely to be nominated for friendship and popularity and slightly less likely to be nominated for victimisation than girls without fixed braces (p < 0.05). These associations also remained stable when controlling for socioeconomic differences. Among boys, all observed associations were statistically insignificant.

Conclusion
We found no evidence that wearing fixed braces in adolescence is socially sanctioned by peers. Rather, female students with fixed braces even tend to hold a slightly more favourable position in their peer networks than girls without braces do. These analyses exemplify how network-analytic approaches can be successfully applied in interdisciplinary research at the intersection of sociology, epidemiology and medicine.
VT ablation based on CT imaging substrate visualization: results from a large cohort of ischemic and non-ischemic cardiomyopathy patients
Authors: Englert F. , Bahlke F. , Erhard N. , Krafft H. , Popa M.-A. , Risse E. , Lennerz C. , Lengauer S. , Telishevska M. , Reents T. , Kottmaier M. , Kolb C. , Hessling G. , Deisenhofer I. , Bourier F. 
Published: December 2023

Abstract
Introduction
The eradication of ventricular tachycardia (VT) isthmus sites constitutes the minimal procedural endpoint for VT ablation procedures. Contemporary high-resolution computed tomography (CT) imaging, in combination with computer-assisted analysis and segmentation of CT data, facilitates targeted elimination of VT isthmi. In this context, inHEART offers digitally rendered three-dimensional (3D) cardiac models which allow preoperative planning for VT ablations in ischemic and non-ischemic cardiomyopathies. To date, almost no data have been collected to compare the outcomes of VT ablations utilizing inHEART with those of traditional ablation approaches.

Methods
The presented data are derived from a retrospective analysis of n = 108 patients, with one cohort undergoing VT ablation aided by late-enhancement CT and subsequent analysis and segmentation by inHEART, while the other cohort received ablation through conventional methods like substrate mapping and activation mapping. The ablations were executed utilizing a 3D mapping system (Carto3), with the mapping generated via the CARTO® PENTARAY™ NAV catheter and subsequently merged with the inHEART model, if available.

Results
Results showed more successful outcome of ablations for the inHEART group with lower VT recurrence (27% vs. 42%, p < 0.06). Subsequent analyses revealed that patients with ischemic cardiomyopathies appeared to derive a significant benefit from inHEART-assisted VT ablation procedures, with a higher rate of successful ablation (p = 0.05).

Conclusion
Our findings indicate that inHEART-guided ablation is associated with reduced VT recurrence compared to conventional procedures. This suggests that employing advanced imaging and computational modeling in VT ablation may be valuable for VT recurrences.

Graphical abstract
Repetition costs in task switching are not equal to cue switching costs: evidence from a cue-independent context
Authors: Benini Elena , Koch Iring , Philipp Andrea M. 
Published: December 2023

AbstractRecent task-switching studies highlighted the presence of feature binding processes. These studies documented that even a task-irrelevant feature (the context, henceforth) may be bound with the task and the response in each trial. When the context repeated in the following trial, it supposedly retrieved the bound features, causing benefits when the task and the response repeated and costs otherwise (i.e. full repetition benefits). In the present study, we aim to rule out an alternative explanation for such full repetition benefits in task switching. These benefits were observed in studies that used a cue-related context so that full repetition conditions always implied a cue repetition. Therefore, these full repetition benefits may be ascribed to the priming of cue encoding, instead of the binding of the context. In the present study, we implemented a similar context manipulation but used univalent target stimuli and did not present any cue. Hence, the varying context was never cue-related. We still found full repetition benefits but only when the context appeared before the target and not when they appeared simultaneously. Thus, full repetition benefits can be observed in the absence of priming of cue encoding. However, the context must occupy a prominent position (i.e. at the beginning of the trial). These results, therefore, reinforce the hypothesis that full repetition benefits stem from binding processes that take place on a trial-by-trial basis and involve both task-relevant (the task and the response) and task-irrelevant features (the context).
Swiss digital pathology recommendations: results from a Delphi process conducted by the Swiss Digital Pathology Consortium of the Swiss Society of Pathology
Authors: Janowczyk Andrew , Zlobec Inti , Walker Cedric , Berezowska Sabina , Huschauer Viola , Tinguely Marianne , Kupferschmid Joel , Mallet Thomas , Merkler Doron , Kreutzfeldt Mario , Gasic Radivoje , Rau Tilman T. , Mazzucchelli Luca , Eyberg Isgard , Cathomas Gieri , Mertz Kirsten D. , Koelzer Viktor H. , Soldini Davide , Jochum Wolfram , Rössle Matthias , Henkel Maurice , Grobholz Rainer ,   on behalf of the Swiss Digital Pathology Consortium
Published: December 2023

AbstractIntegration of digital pathology (DP) into clinical diagnostic workflows is increasingly receiving attention as new hardware and software become available. To facilitate the adoption of DP, the Swiss Digital Pathology Consortium (SDiPath) organized a Delphi process to produce a series of recommendations for DP integration within Swiss clinical environments. This process saw the creation of 4 working groups, focusing on the various components of a DP system (1) scanners, quality assurance and validation of scans, (2) integration of Whole Slide Image (WSI)-scanners and DP systems into the Pathology Laboratory Information System, (3) digital workflow—compliance with general quality guidelines, and (4) image analysis (IA)/artificial intelligence (AI), with topic experts for each recruited for discussion and statement generation. The work product of the Delphi process is 83 consensus statements presented here, forming the basis for “SDiPath Recommendations for Digital Pathology”. They represent an up-to-date resource for national and international hospitals, researchers, device manufacturers, algorithm developers, and all supporting fields, with the intent of providing expectations and best practices to help ensure safe and efficient DP usage.
Exclusive human milk feeding and prevalence of early adiposity rebound in ELBW infants: a retrospective cohort study
Authors: Cerasani Jacopo , Consales Alessandra , Gangi Silvana , Macchi Marta , Morniroli Daniela , Vizzari Giulia , Tiraferri Valentina , Petrelli Angelo , Mosca Fabio , Giannì Maria Lorella 
Published: December 2023

AbstractThe purpose of the present study was to evaluate the prevalence of early adiposity rebound (EAR) and factors associated with its occurrence in a cohort of extremely low birth weight infants (ELBW). We conducted a retrospective longitudinal study including ELBW infants followed-up for up to 10 years after discharge. EAR was defined as occurring before 5 years of age. A multivariate binary logistic regression analysis was performed to evaluate maternal and perinatal variables independently associated with EAR. Out of 212 ELBW infants included in the analysis, 40.6% developed EAR and 21.5% showed it before 4 years of age. Only formula milk feeding at discharge was independently associated with a higher risk of EAR. The mean BMI of children with EAR was higher than that of children without EAR. Furthermore, the prevalence of overweight and obesity was higher in the EAR group than in the timely AR group. Conclusions: ELBW infants in our cohort developed EAR in a relatively high percentage of cases. In this already at-risk population, EAR may represent a further risk factor for an adverse metabolic outcome. Monitoring preterm infants’ growth within a long-term follow-up program and promoting and supporting human milk feeding is advisable.

What is Known:• Preterm-born infants are at high risk for long-term adverse health outcomes, especially cardiovascular and metabolic.• The occurrence of early adiposity rebound (EAR) is associated with the risk of later obesity and metabolic syndrome.

What is New:• The occurrence of EAR in ELBW infants may represent an additional risk factor for later adverse metabolic outcomes in an already vulnerable population.• Future preventive strategies should include a long-term follow-up and the promotion of exclusive breastfeeding.
Molecular fossils in reefal carbonates and sponges of the deep fore reef of Mayotte and Mohéli, Comoro Islands, western Indian Ocean
Authors: Maak Joely Marie , Birgel Daniel , Reitner Joachim , Gischler Eberhard , Dullo Wolf-Christian , Foster William J. , Peckmann Jörn 
Published: December 2023

AbstractMicrobial carbonates are common components of Quaternary tropical coral reefs. Previous studies revealed that sulfate-reducing bacteria trigger microbial carbonate precipitation in supposedly cryptic reef environments. Here, using petrography, lipid biomarker analysis, and stable isotope data, we aim to understand the formation mechanism of microbial carbonate enclosed in deep fore reef limestones from Mayotte and Mohéli, Comoro Islands, which differ from other reefal microbial carbonates in that they contain less microbial carbonate and are dominated by numerous sponges. To discern sponge-derived lipids from lipids enclosed in microbial carbonate, lipid biomarker inventories of diverse sponges from the Mayotte and Mohéli reef systems were examined. Abundant peloidal, laminated, and clotted textures point to a microbial origin of the authigenic carbonates, which is supported by ample amounts of mono-O-alkyl glycerol monoethers (MAGEs) and terminally branched fatty acids; both groups of compounds are attributed to sulfate-reducing bacteria. Sponges revealed a greater variety of alkyl chains in MAGEs, including new, previously unknown, mid-chain monomethyl- and dimethyl-branched MAGEs, suggesting a diverse community of sulfate reducers different from the sulfate-reducers favoring microbialite formation. Aside from biomarkers specific for sulfate-reducing bacteria, lipids attributed to demosponges (i.e., demospongic acids) are also present in some of the sponges and the reefal carbonates. Fatty acids attributed to demosponges show a higher diversity and a higher proportion in microbial carbonate compared to sponge tissue. Such pattern reflects significant taphonomic bias associated with the preservation of demospongic acids, with preservation apparently favored by carbonate authigenesis.
The Riskification of Internal Auditors’ Ethical Deliberation: An Emerging Third Logic Between Norms and Values?
Authors: Brivot Marion , Roussy Mélanie , Gendron Yves 
Published: December 2023

AbstractWhat ethical challenges do internal auditors (IAs) encounter in their professional role, and how do they navigate these hurdles, especially when weaving risks into their ethical judgments? Anchored in philosophical concepts distinguishing norms from values, and the notion that risk is intrinsically moral, this research delves into interviews of 33 Canadian public sector IAs across various government strata. This primary data are enriched by insights from archival documents and an ethics training session attended by 11 internal audit executives. Our analysis reveals two primary ethical challenges faced by IAs—ethical issues and dilemmas—which unfold in the various contexts we explicate in this study. To address them, IAs tend to favor axiological logic (values driven) over deontological logic (norms driven). However, in some situations, a prudential logic centered on risk becomes their touchstone. Our key takeaways are threefold: (1) a highlight of the ethical quandaries IAs grapple with; (2) evidence that prudential logic, with its merits and flaws, is used to bridge the gap that sometimes exists between professional norms and individual values; and (3) an emphasis on the weak reliance of IAs on the Institute of Internal Auditors Code of Ethics, hinting at avenues for its enhanced outreach and pedagogy.
Adolescent Nonsuicidal Self-Injury and Suicidality: A Latent Class Analysis and Associations with Clinical Characteristics in an At-Risk Cohort
Authors: de Neve-Enthoven N. G. M. , Ringoot A. P. , Jongerling J. , Boersma N. , Berges L. M. , Meijnckens D. , Hoogendijk W. J. G. , Grootendorst-van Mil N. H. 
Published: December 2023

AbstractNonsuicidal self-injury (NSSI) is frequently encountered in adolescents, but its predictive value for suicidality or other clinical characteristics is challenging due to its heterogeneous nature. This study used latent class analysis to identify subgroups of NSSI and compared these on sociodemographic characteristics, adverse outcomes and protective factors. The study included 966 high-risk adolescents, Mage 14.9 y, SD 0.9 y, 51.8% female. Four classes emerged: (1) “Low NSSI–Low suicidality”, (2) “Moderate NSSI-Low suicidality”, (3) “Moderate NSSI-High suicidality”, and (4) “High NSSI-High suicidality”. Girls predominated in the high suicidality classes. Generally, Class 4 had the poorest outcomes: more internalizing and externalizing problems, less social support from friends and families and worst self-esteem. These findings emphasize the need for interventions tailored to specific phenotypes of adolescents engaging in NSSI.
Semantic speech analysis using machine learning and deep learning techniques: a comprehensive review
Authors: Tyagi Suryakant , Szénási Sándor 
Published: December 2023

AbstractHuman cognitive functions such as perception, attention, learning, memory, reasoning, and problem-solving are all significantly influenced by emotion. Emotion has a particularly potent impact on attention, modifying its selectivity in particular and influencing behavior and action motivation. Artificial Emotional Intelligence (AEI) technologies enable computers to understand a user's emotional state and respond appropriately. These systems enable a realistic dialogue between people and machines. The current generation of adaptive user interference technologies is built on techniques from data analytics and machine learning (ML), namely deep learning (DL) artificial neural networks (ANN) from multimodal data, such as videos of facial expressions, stance, and gesture, voice, and bio-physiological data (such as eye movement, ECG, respiration, EEG, FMRT, EMG, eye tracking). In this study, we reviewed existing literature based on ML and data analytics techniques being used to detect emotions in speech. The efficacy of data analytics and ML techniques in this unique area of multimodal data processing and extracting emotions from speech. This study analyzes how emotional chatbots, facial expressions, images, and social media texts can be effective in detecting emotions. PRISMA methodology is used to review the existing survey. Support Vector Machines (SVM), Naïve Bayes (NB), Random Forests (RF), Recurrent Neural Networks (RNN), Logistic Regression (LR), etc., are commonly used ML techniques for emotion extraction purposes. This study provides a new taxonomy about the application of ML in SER. The result shows that Long-Short Term Memory (LSTM) and Convolutional Neural Networks (CNN) are found to be the most useful methodology for this purpose.
Recapitulation of anti-aging phenotypes by global overexpression of PTEN in mice
Authors: Hager Mary , Chang Peter , Lee Michael , Burns Calvin M. , Endicott S. Joseph , Miller Richard A. , Li Xinna 
Published: December 2023

AbstractThe PTEN gene negatively regulates the oncogenic PI3K-AKT pathway by encoding a lipid and protein phosphatase that dephosphorylates lipid phosphatidylinositol-3,4,5-triphosphate (PIP3) resulting in the inhibition of PI3K and downstream inhibition of AKT. Overexpression of PTEN in mice leads to a longer lifespan compared to control littermates, although the mechanism is unknown. Here, we provide evidence that young adult PTENOE mice exhibit many characteristics shared by other slow-aging mouse models, including those with mutations that affect GH/IGF1 pathways, calorie-restricted mice, and mice treated with anti-aging drugs. PTENOE white adipose tissue (WAT) has increased UCP1, a protein linked to increased thermogenesis. WAT of PTENOE mice also shows a change in polarization of fat-associated macrophages, with elevated levels of arginase 1 (Arg1, characteristic of M2 macrophages) and decreased production of inducible nitric oxide synthase (iNOS, characteristic of M1 macrophages). Muscle and hippocampus showed increased expression of the myokine FNDC5, and higher levels of its cleavage product irisin in plasma, which has been linked to increased conversion of WAT to more thermogenic beige/brown adipose tissue. PTENOE mice also have an increase, in plasma and liver, of GPLD1, which is known to improve cognition in mice. Hippocampus of the PTENOE mice has elevation of both BDNF and DCX, indices of brain resilience and neurogenesis. These changes in fat, macrophages, liver, muscle, hippocampus, and plasma may be considered “aging rate indicators” in that they seem to be consistently changed across many of the long-lived mouse models and may help to extend lifespan by delaying many forms of late-life illness. Our new findings show that PTENOE mice can be added to the group of long-lived mice that share this multi-tissue suite of biochemical characteristics.
Enhanced Fenton-like process over Cu/L(+)-ascorbic acid co-doping mesoporous silica for toxicity reduction of emerging contaminants
Authors: Liu Yuhang , Deng Wenxuan , Wu Xiaojun , Hu Chun , Lyu Lai 
Published: December 2023

AbstractEffective removal of emerging contaminants (ECs) to minimize their impacts on human health and the natural environment is a global priority. For the removal of ECs in water, we fabricated a seaweed spherical microsphere catalyst with Cu cation-π structures by in situ doping of Cu species and ascorbic acid in mesoporous silica (Cu-C-MSNs) via a hydrothermal method. The results indicate that bisphenol A (BPA) is substantially degraded within 5 min under natural conditions, with its biological toxicity considerably weakened. Moreover, industrial wastewater could also be effectively purified by Cu-C-MSNs/H2O2 system. The presence of metal sites and the complexation of ECs via cation-π interaction and π-π stacking on the catalyst surface were directly responsible for the polarization distribution of electrons, thus activating H2O2 and dissolved oxygen (DO). The removal of contaminants could be attributed primarily to 1) the activation of H2O2 into •OH to attack the contaminants and 2) self-cleavage because of the transfer of electrons from the contaminants to the catalysts. This study provides an innovative solution for the effective treatment of ECs and has positive implications for easing global environmental crises.