bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prohibiting Babel - A call for professional remote interpreting services in pre-operation anaesthesia information
Authors: Gerger Gernot , Graf Nikolaus , Klager Elisabeth , Doppler Klara , Langauer Armin , Albrecht Verena , Bilir Aylin , Willschke Harald , Baron David M. , Kletecka-Pulker Maria 
Published: February 2024

Introduction: Language barriers within clinical settings pose a threat to patient safety. As a potential impediment to understanding, they hinder the process of obtaining informed consent. This study investigates the impact of the current use of interpreters, with a particular focus on the efficacy of engaging laypersons as interpreters, rather than professional interpreters. A further objective is to explore the validity and reliability of phone-based telemedicine. Methods: In three groups (N per group = 30), we compared how using lay or professional interpreters affected non-German speaking patients’ subjectively perceived understanding (understood vs. not understood) and recollection (recollected vs. not recollected) of information about general anaesthesia. Fluent German speaking patients served as the control group. Statistical analyses (χ2 tests and binomial) were calculated to show differences between and within the groups. Results: All three groups indicated similar, high self-reported levels of having understood the medical information provided. This was in stark contrast to the assessed objective recollection data. In the lay interpreter group, recollection of anaesthesia facts was low; only around half of participants recalled specific facts. For patients supported by professional interpreters, their recollection of facts about anaesthesia was significantly enhanced and elevated to the same level of the control group (fluent in German). Moreover, for these patients, providing information by means of phone-based telemedicine before anaesthesia yielded high levels of understanding and recollection of anaesthesia facts. Conclusion: Phone-based telemedicine is a safe and reliable method of communication in the professional interpreter group and German speaking control group, but not in the lay interpreter group. Compared to lay interpreters, professional interpreters significantly improve patients’ uptake of critical information about general anaesthesia, thus highlighting the importance of professional interpreters for patient safety and informed consent.
Non-Consensual Sex among Japanese Women in the COVID-19 Pandemic: A Large-Scale Nationwide Survey-Based Study
Authors: Suzuki Tomoya , Kaneda Yudai , Kotera Yasuhiro , Tanimoto Tetsuya , Ozaki Akihiko , Bhandari Divya , Horiuchi Sayaka , Tabuchi Takahiro 
Published: February 2024

Background: Non-consensual sex including rape and sexual assault has been a global concern and may have been influenced by the COVID-19 pandemic, however the information on this topic is limited. Therefore, our objective was to survey the incidence rate of non-consensual sex among Japanese women aged 15-79 years between April to September 2020, following the COVID-19 pandemic in Japan. Materials and Methods: We utilized the data obtained from a nationwide, cross-sectional internet survey conducted in Japan between August and September 2020. Sampling weights were applied to calculate national estimates, and multivariable logistic regression was performed to identify factors associated with non-consensual sex. Data was extracted from a cross-sectional, web-based, self-administered survey of approximately 2.2 million individuals from the general public, including in men and women. Results: Excluding men and responses with inconsistencies, the final analysis included 12,809 women participants, with 138 (1.1%) reporting experiencing non-consensual sex within a five-month period. Being aged 15–29 years and having a worsened mental or economic status were associated with experiencing non-consensual sex. Conclusions: Early intervention to prevent individuals from becoming victims of sexual harm should be extended to economically vulnerable and young women, especially during times of societal upheaval such as the COVID-19 pandemic. Additionally, Japan should prioritize the implementation of comprehensive education on the concept of sexual consent.
MRI economics: Balancing sample size and scan duration in brain wide association studies
Authors: Ooi Leon Qi Rong , Orban Csaba , Zhang Shaoshi , Nichols Thomas E. , Tan Trevor Wei Kiat , Kong Ru , Marek Scott , Dosenbach Nico U.F. , Laumann Timothy , Gordon Evan M , Yap Kwong Hsia , Ji Fang , Chong Joanna Su Xian , Chen Christopher , An Lijun , Franzmeier Nicolai , Roemer Sebastian Niclas , Hu Qingyu , Ren Jianxun , Liu Hesheng , Chopra Sidhant , Cocuzza Carrisa V. , Baker Justin T. , Zhou Juan Helen , Bzdok Danilo , Eickhoff Simon B. , Holmes Avram J. , Yeo B. T. Thomas ,   Alzheimer’s Disease Neuroimaging Initiative
Published: February 2024

AbstractA pervasive dilemma in neuroimaging is whether to prioritize sample size or scan time given fixed resources. Here, we systematically investigate this trade-off in the context of brain-wide association studies (BWAS) using functional magnetic resonance imaging (fMRI). We find that total scan duration (sample size × scan time per participant) robustly explains individual-level phenotypic prediction accuracy via a logarithmic model, suggesting that sample size and scan time are broadly interchangeable up to 20-30 min of data. However, the returns of scan time diminish relative to sample size, which we explain with principled theoretical derivations. When accounting for fixed overhead costs associated with each participant (e.g., recruitment, non-imaging measures), prediction accuracy in many small-scale and some large-scale BWAS might benefit from longer scan time than typically assumed. These results generalize across phenotypic domains, scanners, acquisition protocols, racial groups, mental disorders, age groups, as well as resting-state and task-state functional connectivity. Overall, our study emphasizes the importance of scan time, which is ignored in standard power calculations. Standard power calculations maximize sample size, at the expense of scan time, which can result in sub-optimal prediction accuracies and inefficient use of resources. Our empirically informed reference is available for future study design: WEB_APPLICATION_LINK
A General Mechanism for Initiating the General Stress Response in Bacteria
Authors: Baral Rishika , Ho Kristin , Kumar Ramasamy P. , Hopkins Jesse B. , Watkins Maxwell B. , LaRussa Salvatore , Caban-Penix Suhaily , Calderone Logan A. , Bradshaw Niels 
Published: February 2024

AbstractThe General Stress Response promotes survival of bacteria in adverse conditions, but how sensor proteins transduce species-specific signals to initiate the response is not known. The serine/threonine phosphatase RsbU initiates the General Stress Response inB. subtilisupon binding a partner protein (RsbT) that is released from sequestration by environmental stresses. We report that RsbT activates RsbU by inducing otherwise flexible linkers of RsbU to form a short coiled-coil that dimerizes and activates the phosphatase domains. Importantly, we present evidence that related coiled-coil linkers and phosphatase dimers transduce signals from diverse sensor domains to control the General Stress Response and other signaling across bacterial phyla. This coiled-coil linker transduction mechanism additionally suggests a resolution to the mystery of how shared sensory domains control serine/threonine phosphatases, diguanylate cyclases and histidine kinases. We propose that this provides bacteria with a modularly exchangeable toolkit for the evolution of diverse signaling pathways.
Time of arrival during plant disease progression and humidity additively influenceSalmonella entericacolonization of lettuce
Authors: Dixon Megan H. , Nellore Dharshita , Zaacks Sonia C. , Barak Jeri D. 
Published: February 2024

ABSTRACTThe interplay between plant host, phytopathogenic bacteria, and enteric human pathogens in the phyllosphere have consequences for human health.Salmonella entericahas been known to take advantage of phytobacterial infection to increase its success on plants, but there is little knowledge of additional factors that may influence the relationship between enteric pathogen and plant disease. In this study, we investigated the role of humidity and the extent of plant disease progression onS. entericacolonization of plants. We found that high humidity was necessary for replication ofS. entericaon diseased lettuce, but not required forS. entericaingress into the UV-protected apoplast. Additionally, theXanthomonas hortorumpv. vitians (hereafter,X. vitians)-infected lettuce host was found to be a relatively hostile environment forS. entericawhen it arrived prior to the development of watersoaking or following necrosis onset, supporting the existence of an ideal window duringX. vitiansinfection progress that maximizesS. entericasurvival. In vitrogrowth studies in sucrose media suggest thatX. vitiansmay allowS. entericato benefit from cross-feeding during plant infection. Overall, this study emphasizes the role of phytobacterial disease as a driver ofS. entericasuccess in the phyllosphere, demonstrates how time of arrival during disease progress can influenceS. enterica’sfate in the apoplast, and highlights the potential for humidity to transform an infected apoplast into a growth-promoting environment for bacterial colonizers.Importance:Bacterial leaf spot of lettuce caused byX. vitiansis a common threat to leafy green production. The global impact caused by phytopathogens, includingX. vitians, is likely to increase with climate change. We found that even under a scenario where increased humidity did not enhance plant disease, high humidity had a substantial effect on facilitatingS. entericagrowth onXanthomonas-infected plants. High humidity climates may directly contribute to the survival of human enteric pathogens in crop fields or indirectly affect bacterial survival via changes to the phyllosphere brought on by phytopathogen disease.
Using structure prediction of negative sense RNA virus nucleoproteins to assess evolutionary relationships
Authors: Sabsay Kimberly R. , te Velthuis Aartjan J.W. 
Published: February 2024

AbstractNegative sense RNA viruses (NSV) include some of the most detrimental human pathogens, including the influenza, Ebola and measles viruses. NSV genomes consist of one or multiple single-stranded RNA molecules that are encapsidated into one or more ribonucleoprotein (RNP) complexes. These RNPs consist of viral RNA, a viral RNA polymerase, and many copies of the viral nucleoprotein (NP). Current evolutionary relationships within the NSV phylum are based on alignment of conserved RNA-directed RNA polymerase (RdRp) domain amino acid sequences. However, the RdRp domain-based phylogeny does not address whether NP, the other core protein in the NSV genome, evolved along the same trajectory or whether several RdRp-NP pairs evolved through convergent evolution in the segmented and non-segmented NSV genomes architectures. Addressing how NP and the RdRp domain evolved may help us better understand NSV diversity. Since NP sequences are too short to infer robust phylogenetic relationships, we here used experimentally-obtained and AlphaFold 2.0-predicted NP structures to probe whether evolutionary relationships can be estimated using NSV NP sequences. Following flexible structure alignments of modeled structures, we find that the structural homology of the NSV NPs reveals phylogenetic clusters that are consistent with RdRp-based clustering. In addition, we were able to assign viruses for which RdRp sequences are currently missing to phylogenetic clusters based on the available NP sequence. Both our RdRp-based and NP-based relationships deviate from the current NSV classification of the segmentedNaedrevirales, which cluster with the other segmented NSVs in our analysis. Overall, our results suggest that the NSV RdRp and NP genes largely evolved along similar trajectories and that even short pieces of genetic, protein-coding information can be used to infer evolutionary relationships, potentially making metagenomic analyses more valuable.
SISTR: Sinus and Inferior alveolar nerve Segmentation with Targeted Refinement on Cone Beam Computed Tomography images
Authors: Misrachi Laura , Covili Emma , Mayard Hippolyte , Alaka Christian , Rousseau Jérémy , Au Willy 
Published: February 2024

AbstractBackgroundAccurate delineation of the maxillary sinus and inferior alveolar nerve (IAN) is crucial in dental implantology to prevent surgical complications. Manual segmentation from CBCT scans is labor-intensive and error-prone.MethodsWe introduce SISTR (Sinus and IAN Segmentation with Targeted Refinement), a deep learning framework for automated, high-resolution instance segmentation of oral cavity anatomies. SISTR operates in two stages: first, it predicts coarse segmentation and offset maps to anatomical regions, followed by clustering to identify region centroids. Subvolumes of individual anatomical instances are then extracted and processed by the model for fine structure segmentation. Our model was developed on the most diverse dataset to date for sinus and IAN segmentation, sourced from 11 dental clinics and 10 manufacturers (358 CBCTs for sinus, 499 for IAN).ResultsSISTR shows robust generalizability. It achieves strong segmentation performance on an external test set (98 sinus, 91 IAN CBCTs), reaching average DICE scores of 96.64% (95.38-97.60) for sinus and 83.43% (80.96-85.63) for IAN, representing a significant 10 percentage point improvement in Dice score for IAN compared to single-stage methods. Chamfer distances of 0.38 (0.24-0.60) mm for sinus and 0.88 (0.58-1.27) mm for IAN confirm its accuracy. Its inference time of 4 seconds per scan reduces time required for manual segmentation, which can take up to 28 minutes.ConclusionsSISTR offers a fast, accurate, and efficient solution for the segmentation of critical anatomies in dental implantology, making it a valuable tool in digital dentistry.Plain text summaryAccurately determining the locations of important structures such as the maxillary sinus and inferior alveolar nerve is crucial in dental implant surgery to avoid complications. The conventional method of manually mapping these areas from CBCT scans is time-consuming and prone to errors. To address this issue, we have developed SISTR, an AI-based framework that efficiently and accurately automates this process, trained on extensive datasets, sourced from 11 dental clinics and 10 manufacturers. It surpasses conventional methods by identifying anatomical regions within seconds. SISTR provides a rapid and accurate solution for high-resolution segmentation of critical anatomies in dental implantology, making it a valuable tool in digital dentistry.
No clear evidence for relationships of Apolipoprotein E genotype with measures of common infections in three UK cohorts
Authors: Green Rebecca E. , Fernández-Sanlés Alba , Felici Caterina , Warren-Gash Charlotte , Butt Julia , Waterboer Tim , Richards Marcus , Schott Jonathan M. , Hughes Alun D. , Chaturvedi Nish , Williams Dylan M. 
Published: February 2024

AbstractAPOEgenotype is the strongest genetic risk factor for late onset Alzheimer’s disease, with the ε2 and ε4 alleles decreasing and increasing risk relative to the ε3 allele, respectively. Although evidence has been conflicting, several common infections have been associated with Alzheimer’s disease risk, and interactions byAPOEε4 carriage have also been reported. Nevertheless, to date, no study has examined relationships betweenAPOEgenotype and measures of multiple common infections among large population-based studies.We investigated associations ofAPOEε2 and ε4 carriage (i.e. non-carrier vs carrier) with serostatus and antibody titers to 14 common pathogens – encompassing herpesviruses, human polyomaviruses,C.trachomatis, H.pylori, andT.gondii– in three population-based cohorts (UK Biobank, National Survey of Health and Development, Southall and Brent Revisited). Pathogen serostatus was derived using validated antibody cut-offs for relevant antigens and included as an outcome assessing previous infection. Antibody titers were dichotomised among the seropositive subset for each antigen and included as binary outcomes assessing recent immunological responses. We conducted analyses in each cohort using mixed-models, including age, sex and genetic principal components as fixed-effects, and genetic relatedness as a random-effect. In secondary analyses, we additionally assessed i) relationships ofAPOEε2 and ε4 dosage (i.e. number of copies of the allele of interest), and ii) relationships ofAPOEgenotype with continuous antibody titers (rank-based inverse normal transformed). Findings were meta-analysed across cohorts (n=10,059) using random-effects models and corrected for multiple tests using the false discovery rate.We found no clear evidence of relationships betweenAPOEgenotype and serostatus or antibody titers to any pathogen, with no strong associations observed in any of our analyses following multiple testing correction. Investigations ofAPOEgenotypes with the clinical manifestations of these pathogens, as well as expanding to include other viruses such as SARS-CoV-2, would also be warranted.
Prevalence and preferred niche of small eukaryotes with mixotrophic potentials in the global ocean
Authors: Dong Kaiyi , Wang Ying , Zhang Wenjing , Li Qian 
Published: February 2024

AbstractUnicellular eukaryotes that are capable of phago-mixotrophy in the ocean compete for inorganic nutrients and light with autotrophs, and for bacterial prey with heterotrophs. In this study, we ask what are the overall prevalence of eukaryotic mixotrophs in vast open oceans, and how the availability of inorganic nutrients, light, and prey affects their relative success. We utilized theTara Oceanseukaryotic 18S rRNA gene and environmental context variables dataset to conduct large-scale field analysis. We also performed isolate-based culture experiments to verify growth and nutritional resource relationships for representative mixotrophic taxa. The field analysis suggested that the overall prevalence of mixotrophs was negatively correlated with nutrient concentrations and positively associated with light availability. Concentrations of bacterial prey also presented somewhat correlation with mixotrophs but to a less extent. In comparison, the culture experiments demonstrated a taxa-specific relationship between mixotrophic growth and nutrition resources, i.e., the growth of one group was significantly dependent on light availability while the other group was less affected by light when they received sufficient prey. Both groups were capable of growing efficiently with low inorganic nutrients when receiving sufficient prey and light. Therefore, our field analysis and culture experiments both suggest that phago-mixotrophy for ocean eukaryotes is seemingly to be an efficient strategy to compensate nutrient deficiency but unnecessarily light limitation. This study collectively revealed a close relationship between abiotic and biotic nutritional resources and the prevalence of trophic strategies, shedding light on the importance of light and nutrients for determining the competitive success of mixotrophs versus autotrophic and heterotrophic eukaryotes in the ocean.
In search of breadth and depth: the origin story of a multidisciplinary faculty of management
Authors: Brooks Kim , Nichini Thomas 
Published: February 2024

Purpose
This paper aims to use the origin story of Dalhousie’s Faculty of Management as a foil for unpacking the tensions between deep disciplinary specialization and liberal education in business schools in Canada and the USA. Ultimately, the paper reveals that those tensions are not irreconcilable, and that through the fortunes of historical contingencies and deliberate decision-taking, a faculty can embrace the benefits of both breadth and depth.

Design/methodology/approach
The paper proposes a critical organizational history of management education through a case study. By drawing on secondary literature and archival sources, the authors focus on moments in business education, such as the founding of the Wharton School of Business, the release of the Carnegie and Ford Reports and the trend towards increased specialization to situate a case study of Dalhousie University’s Faculty of Management.

Findings
The authors find that the evolution of business education in North America from its broad, liberal origins towards narrow, specialization has come at a cost to some of the benefits of business and management education. An alternative approach, one reflected in the design of Dalhousie’s Faculty of Management, its programme offerings and its interconnection with other disciplines, enables the advantages of deep disciplinarity to co-exist (and cross-inform) with the advantages of liberal approach to knowledges.

Originality/value
The Dalhousie model offers business schools an example of a faculty that balances the rich insights of liberal interdisciplinarity with the need for sophisticated approaches to more granular, often disciplinary, topics. In addition, the paper offers the story of a multidisciplinary management faculty, some explanation for how that faculty was maintained despite pressures towards specialization; and in doing so, contributes to the limited historical research of management education, particularly in Canada, post-2000.
Quantitative pressure and saturation engineering values from 4D PP and PS seismic data
Authors: Tura Ali , Held Marihelen , Simmons James , Kvilhaug Arnstein , Dhelie Per Eivind 
Published: February 2024

AbstractFor field development and drilling decisions, production assets and reservoir engineers require dynamic reservoir properties, such as saturation and pressure changes of a reservoir from the pre‐production virgin state. To date, geophysicists have produced time‐lapse (4D) seismic attributes (mostly on stacked seismic data) rather than dynamic parameters directly. In this paper, we present a new method to estimate saturation and pressure properties from time‐lapse seismic data to provide to reservoir engineers. This new three‐step method is demonstrated over the Edvard Grieg field in the North Sea. We can realize this method thanks to advanced seismic multi‐component acquisition via PP and PS seismic data and processing that allows accurate estimation of amplitude‐variation‐with‐offset parameters P‐ and S‐impedances. With time‐lapse P‐ and S‐impedances optimally resolved, we estimate a stable set of axes identifying water saturation increase (water replacing oil), gas saturation increase (gas injection or gas out of solution), pressure increase (at injectors) and pressure decrease (at producers). Once these axes are obtained, we convert every 4D P‐ and S‐impedance data points into 4D pseudo‐saturation and pseudo‐pressure using a transformation of coordinates. We next use the rock physics relationships of this field to show that a linear relationship can be used to map any 4D change in the field from impedances to saturations and pressures. Key locations in the field with largest saturation and pressure changes are used to find calibration values at these extreme points. Next, from the pseudo‐seismic 4D data, a linear mapping is used to calculate actual reservoir property changes (fractions for saturation and bars for pressure). This allows us to obtain fieldwide dynamic values for water and gas saturations and injection and production related pressure changes. The results are shown, and dynamic changes are interpreted on the Edvard Grieg field data.