bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of advanced age with procedural complications and in-hospital outcomes from left atrial appendage occlusion device implantation in patients with atrial fibrillation: insights from the National Inpatient Sample of 36,065 procedures
Authors: Munir Muhammad Bilal , Khan Muhammad Zia , Darden Douglas , Asad Zain Ul Abideen , Choubdar Parnia Abolhassan , Din Mian Tanveer Ud , Osman Mohammed , Singh Gagan D. , Srivatsa Uma N. , Balla Sudarshan , Reeves Ryan , Hsu Jonathan C. 
Published: June 2022

Abstract
Background
Age-stratified analyses of atrial fibrillation (AF) patients undergoing percutaneous left atrial appendage occlusion (LAAO) are limited. The purpose of current study was to compare in-hospital outcomes in elderly AF patients (age > 80 years) to a relatively younger cohort (age £ 80 years) after LAAO.

Methods
Data were extracted from National Inpatient Sample for calendar years 2015–2018. LAAO device implantations were identified on the basis of International Classification of Diseases, 9th and 10th Revision, Clinical Modification codes of 37.90 and 02L73DK. The outcomes assessed in our study included complications, inpatient mortality, and resource utilization with LAAO.

Results
A total of 36,065 LAAO recipients were included in the final analysis, of which 34.6% (n=12,475) were performed on elderly AF patients. Elderly AF patients had a higher prevalence of major complications (6.7% vs. 5.7%, p < 0.01) and mortality (0.4% vs. 0.1%, p < 0.01) after LAAO device implantation in the crude analysis. After multivariate adjustment of potential confounders, age > 80 years was associated with increased risk of inpatient mortality (adjusted odds ratio [aOR] 4.439, 95% confidence interval [CI] 2.391–8.239) but not major complications (aOR 1.084, 95% CI 0.971–1.211), prolonged length of stay (aOR 0.943, 95% CI 0.88–1.101), or increased hospitalization costs (aOR 0.909, 95% CI 0.865–0.955).

Conclusion
Over 1 in 3 LAAO device implantations occurred in elderly AF patients. After adjusting for potential confounding variables, advanced age was associated with inpatient mortality, but not with other LAAO procedural–related outcomes including major complications, prolonged length of stay, or increased hospitalization costs.
Shift of pairwise similarities for data clustering
Authors: Haghir Chehreghani Morteza 
Published: June 2022

AbstractSeveral clustering methods (e.g., Normalized Cut and Ratio Cut) divide the Min Cut cost function by a cluster dependent factor (e.g., the size or the degree of the clusters), in order to yield a more balanced partitioning. We, instead, investigate adding such regularizations to the original cost function. We first consider the case where the regularization term is the sum of the squared size of the clusters, and then generalize it to adaptive regularization of the pairwise similarities. This leads to shifting (adaptively) the pairwise similarities which might make some of them negative. We then study the connection of this method to Correlation Clustering and then propose an efficient local search optimization algorithm with fast theoretical convergence rate to solve the new clustering problem. In the following, we investigate the shift of pairwise similarities on some common clustering methods, and finally, we demonstrate the superior performance of the method by extensive experiments on different datasets.
Non-orthogonal multiple access system based on time diversity for 5G applications
Authors: Zaki Amira I. , Samy Amal A. , Garg Amit Kumar , Aly Moustafa H. 
Published: June 2022

AbstractNovel coding and modulation methods are required for fulfilling the demands of 5G and beyond cellular communication systems. In this paper, an innovative time diversity non-orthogonal multiple access (TD-NOMA) approach is proposed for 5G applications. The suggested system uses time diversity (TD) in conjunction with NOMA to improve the system bit error rate (BER) performance. The NOMA technique basically employes data transmission based on non-orthogonal basis functions. The data pass through the channel, and the desired signal can be obtained by a successive interference cancelation (SIC) receiver. Using different subcarriers and channel models, different modulation schemes such as QPSK and BPSK are investigated. When compared to conventional methodologies, the simulation results reveal that the proposed system outperforms them; it reduces the effect of fading for the multipath channel and enhances the BER.
What regulates the rhizodeposition of winter oilseed rape during growth?
Authors: Remus Rainer , Pandey Divya , Lüttschwager Dietmar 
Published: June 2022

Abstract
Purpose
The goal of this work was to contribute to a better understanding of the process of rhizodeposition in crops and to find helpful approaches for creating a simple model of rhizodeposition. For this purpose, we tested three hypotheses about the relationships and changes in the relative C partitioning coefficients and their ratios. In particular, we analyzed the relationships between root growth, belowground respiration, rhizodeposition and other traits during plant growth.

Methods
The ranges of variation in $$^{14}$$

14

C partitioning coefficients and various plant traits were determined after $$^{14}$$

14

C labeling of four winter oilseed rape genotypes in three developmental stages.

Result
For all genotypes, we found very strong and significant correlations between the percentages of freshly assimilated C used for rhizodeposition and root growth. In addition, we showed that the ratios of the relative $$^{14}$$

14

C fluxes in the root-soil-soil gas system changed significantly during plant development and that the relative and absolute C fluxes of rhizodeposition followed different trends. The root growth rate and the change in the ratio of the percentages of $$^{14}$$

14

C in rhizodeposition and root tissue over time were the key factors that determined the absolute amount of rhizodeposited C. We also found that the C partitioning in a taproot system leading to root growth and rhizodeposition was similar to that of an adventitious root system.

Conclusion
Based on our results, we conclude that using the identified key factors in combination with a root growth model, a simple model can be generated to describe rhizodeposition.
The effect of combined loading on the behavior of micropiled rafts installed with inclined condition
Authors: Elsawwaf Ahmed , Nazir Ashraf , Azzam Waseim 
Published: June 2022

AbstractOne of the major disadvantages of micropiles is their low lateral stiffness and flexural rigidity due to the small diameter. This limitation can be handled in current practice, by installing the micropile with inclined condition or providing a steel casing. Additional steel casings will increase the lateral load capacity of micropiles but increase the project cost as well. Thus, inclination of micropile which is relatively simple and cheap is recommended. In this paper, a comprehensive numerical analysis is conducted on the behavior of micropiled rafts installed with inclined condition under combined vertical and lateral loading. A FEM calibrated against full-scale axial and lateral field tests is used to conduct the analysis. The soil profile is soft clay soil underlain by a layer of dense sand. The study investigates the impact of several parameters which are as follows: magnitude of vertical loading, reinforcement type, inclination angle of micropiles, and number of inclined micropiles. The study reveals that increasing vertical loads causes continuous decrease in the lateral load capacity of micropiled rafts. When all micropiles installed are inclined, the positively inclined micropiles carry 79–86% of the total lateral load carried by micropiles, whereas the negatively inclined ones carry 14–21%. Inclined micropiles offer greater lateral load sharing ratio (αh) than that of vertical ones, largest at θ = 45°. The effect of micropile reinforcement on improving the lateral performance is low compared to the effect of micropile inclination angle.
Auto-encoded Latent Representations of White Matter Streamlines for Quantitative Distance Analysis
Authors: Zhong Shenjun , Chen Zhaolin , Egan Gary 
Published: June 2022

AbstractParcellation of whole brain tractograms is a critical step to study brain white matter structures and connectivity patterns. The existing methods based on supervised classification of streamlines into predefined streamline bundle types are not designed to explore sub-bundle structures, and methods with manually designed features are expensive to compute streamline-wise similarities. To resolve these issues, we propose a novel atlas-free method that learns a latent space using a deep recurrent auto-encoder trained in an unsupervised manner. The method efficiently embeds any length of streamlines to fixed-size feature vectors, named streamline embedding, for tractogram parcellation using non-parametric clustering in the latent space. The method was evaluated on the ISMRM 2015 tractography challenge dataset with discrimination of major bundles using clustering algorithms and streamline querying based on similarity, as well as real tractograms of 102 subjects Human Connectome Project. The learnt latent streamline and bundle representations open the possibility of quantitative studies of arbitrary granularity of sub-bundle structures using generic data mining techniques.
An analytic network process model to prioritize supply chain risks in green residential megaprojects
Authors: Alamdari A. M. , Jabarzadeh Y. , Adams B. , Samson D. , Khanmohammadi S. 
Published: June 2022

Abstract
Megaprojects and specifically ‘green’ construction of residential megaprojects can contain significant risks of failure. To design proper risk mitigation strategies, after identifying key risk factors, the next step is to conduct assessments that would facilitate the process of risk element prioritization. Risk assessment comprises the establishment of factor interrelation and discerning the indicators of importance. This research proposes a novel version of an integrated prioritization method and analyzes twelve all-inclusive key supply chain oriented risk factors identified in a previous study. Through a comprehensive literature review three criteria, impact, probability, and manageability are selected. Also, a fourth criterion namely influence rate is included in the model, based on the driving powers that can also be derived from the Interpretive Structural Modeling’s (ISM) assessment. Fundamentally, the calculations hinge on the Analytic Network Process (ANP) method which provides an assessment of the alternatives’ weights based on pairwise comparisons concerning the criteria specified. To enhance the accuracy of the perceptive judgments of the expert panelists, a bell-shaped fuzzy function is used to convert the verbal statements to crisp values. In addition, Row Sensitivity Analysis is administered to check the stability of the results and provide predictive scenarios. To validate the model, a case study, located in Iran, was conducted, where an expert panel consisting of four individuals made the pair-wise comparisons through an ANP questionnaire. Results indicate priority and sensitivity of the alternatives concerning criteria, for the case under study.
Chlorophytum delicatulum (Asparagaceae), a newly described species from Zambia
Authors: Osborne J. , Vollesen K. , Bjorå C. S. , Grall A. , Merrett L. , Kativu S. 
Published: June 2022

SummaryChlorophytum delicatulum Osborne, Vollesen & Bjorå from Zambia is described, illustrated and placed within the context of recent taxonomic and phylogenetic work on Chlorophytum in Africa. This delicate herb has leaf bases furnished with conspicuous dark red setae resembling eyelashes. Its phylogenetic position, ecology, phytogeography and conservation status are discussed. Chlorophytum delicatulum is assessed as being of Least Concern using the categories and criteria of the IUCN Red List.
Prevalence and Correlates of Sexual Aversion: A Canadian Community-Based Study
Authors: Lafortune David , Dussault Éliane , Philibert Mathieu , Godbout Natacha 
Published: June 2022

ABSTRACT

Background
Sexual aversion (SA) is a chronic difficulty impacting sexual, relational and psychological wellbeing. Yet, there is a dearth of studies exploring its prevalence and associated factors.

Aim
To estimate the prevalence of SA and examine its correlates among a community sample of Canadian adults.

Methods
A large web-based sample of the Quebec (Canada) adult population (n = 1,935) completed an online survey on sexual wellbeing. Prevalence rates were estimated for SA and other sexual difficulties. Multivariate logistic regression analyses were used to identify correlates of SA.

Outcomes
Demographics (eg, gender, employment status), self-reported experiences of sexual difficulties (low sexual desire and arousal, vaginal dryness, pain during sexual intercourse, erectile difficulties, premature or delayed ejaculation, and orgasm difficulties), and markers of psychosexual wellbeing (eg, psychological distress, performance anxiety) according to the presence or absence of SA were assessed.

Results
The prevalence of SA was 9.7% (95% CI: 8.5–11.2) in the present sample (6.9% [95% CI: 5.1–8.9] in men, 11.3% [95% CI: 9.4–13.4] in women and 17.1% [95% CI: 9.4–27.4] in nonbinary and/or trans individuals). The multivariate logistic regression model explained 31% of the likelihood of experiencing SA. SA was related to psychological distress (aOR: 1.77, 95% CI: 1.33–2.38), sexual satisfaction (aOR: .59, 95% CI:.49–0.70), sexual performance anxiety (aOR: 2.08, 95% CI: 1.45–2.98), and discomfort with sex-related information (aOR: 1.02, 95% CI: 1.01–1.04)

Clinical implications
Several psychosexual correlates of SA were documented and could be targeted by practitioners during the assessment and treatment of individuals living with SA.

Strengths and limitations
The study’s strengths include its large, gender diverse sample and use of comprehensive diagnostic criteria for SA. Probability-based sampling methods and longitudinal studies should be conducted to address the current study’s limitations.

Conclusion
SA research is critical to document its prevalence in different sociodemographic groups, explore additional intrapersonal and interpersonal mechanisms involved in SA etiology, and ensure that the needs of people living with SA are met with tailored interventions.
A didactic model to support the use of senses and sensors in environmental education problem solving
Authors: Silva Maria João 
Published: June 2022

AbstractProblem solving, and specifically the goal of developing problem-solving competences, is a significant dimension of environmental education. Moreover, human senses and electronic sensors have been recognized as important tools in authentic problem-based learning. The purpose of this paper is to present a model to support teachers in creating didactic activities that use human senses and electronic sensors as epistemic mediators in participatory environmental education problem-based learning. The EcoSolvingS model is based on a set theoretical and practical perspectives, and on a cross analysis of a selection of environmental education problem-solving case studies. In a first part, this paper presents the dimensions of the theoretical foundations of the EcoSolvingS model. Subsequently, the results of the cross analysis of the environmental education problem-solving case studies are presented and related to the components of the EcoSolvingS model. Finally, the model is described, and its utility and future developments are discussed.
Structure, function, and productivity from the National Dental Practice-Based Research Network
Authors: Gilbert Gregg H. , Fellows Jeffrey L. , Allareddy Veerasathpurush , Cochran David L. , Cunha-Cruz Joana , Gordan Valeria V. , McBurnie Mary Ann , Meyerowitz Cyril , Mungia Rahma , Rindal D. Brad ,   National Dental PBRN Collaborative Group
Published: June 2022

Abstract

Introduction:
Following inception in 2005 as a multiregional practice-based research network (PBRN), the “National Dental PBRN” expanded nationwide in 2012, and in 2019 implemented additional organizational changes. The objectives are to: (1) describe the new structure and function of the network; and (2) quantify its scientific productivity since 2005.

Methods:
A national Administrative and Resource Center is based in Alabama; regional and specialty nodes are based in Alabama, Florida, Illinois, Minnesota, Oregon, New York, and Texas. A Network Coordinating Center is based in Oregon. Studies are funded via investigator-initiated grants. Scientific productivity is assessed using specific metrics, including the Relative Citation Ratio.

Results:
To date, 58 studies have been completed or are in data collection or development. These studies have investigated a broad range of topics using a wide variety of study designs. Of the studies that have completed enrollment, 70,665 patients were enrolled, as were 19,827 practitioners (some participated in multiple studies), plus electronic records for 790,493 patients in two data-only studies. To date, these studies have led to 193 peer-reviewed scientific publications in 62 different journals. The mean (1.40) Relative Citation Ratio of Network publications connotes a greater-than-average influence in their fields.

Conclusions:
These metrics demonstrate that the PBRN research context can successfully engage practitioners and patients from diverse settings nationally with a high and sustained level of scientific productivity. This infrastructure has enabled clinical scientists in oral health and nonoral health topics and provided additional recruitment venues outside of the typical academic health center research context.
Predicting spatiotemporal variability in radial tree growth at the continental scale with machine learning
Authors: Bodesheim Paul , Babst Flurin , Frank David C. , Hartl Claudia , Zang Christian S. , Jung Martin , Reichstein Markus , Mahecha Miguel D. 
Published: June 2022

Abstract
Tree-ring chronologies encode interannual variability in forest growth rates over long time periods from decades to centuries or even millennia. However, each chronology is a highly localized measurement describing conditions at specific sites where wood samples have been collected. The question whether these local growth variabilites are representative for large geographical regions remains an open issue. To overcome the limitations of interpreting a sparse network of sites, we propose an upscaling approach for annual tree-ring indices that approximate forest growth variability and compute gridded data products that generalize the available information for multiple tree genera. Using regression approaches from machine learning, we predict tree-ring indices in space and time based on climate variables, but considering also species range maps as constraints for the upscaling. We compare various prediction strategies in cross-validation experiments to identify the best performing setup. Our estimated maps of tree-ring indices are the first data products that provide a dense view on forest growth variability at the continental level with 0.5° and 0.0083° spatial resolution covering the years 1902–2013. Furthermore, we find that different genera show very variable spatial patterns of anomalies. We have selected Europe as study region and focused on the six most prominent tree genera, but our approach is very generic and can easily be applied elsewhere. Overall, the study shows perspectives but also limitations for reconstructing spatiotemporal dynamics of complex biological processes. The data products are available at https://www.doi.org/10.17871/BACI.248.
A note on the snout
Authors: Fowler A.C. 
Published: June 2022

AbstractThe shallow ice approximation for glaciers and ice sheets is a degenerate model in which the ice surface slope at the margin may be infinite. This result is due to the neglect of the otherwise small longitudinal stress terms. Here we derive a corrected approximation for the basal shear stress, and show that the resulting model provides an explanation for the observed finite slope margins.
CONTINUOUS LOGIC AND BOREL EQUIVALENCE RELATIONS
Authors: HALLBÄCK ANDREAS , MALICKI MACIEJ , TSANKOV TODOR 
Published: June 2022

AbstractWe study the complexity of isomorphism of classes of metric structures using methods from infinitary continuous logic. For Borel classes of locally compact structures, we prove that if the equivalence relation of isomorphism is potentially
$\mathbf {\Sigma }^0_2$
, then it is essentially countable. We also provide an equivalent model-theoretic condition that is easy to check in practice. This theorem is a common generalization of a result of Hjorth about pseudo-connected metric spaces and a result of Hjorth–Kechris about discrete structures. As a different application, we also give a new proof of Kechris’s theorem that orbit equivalence relations of actions of Polish locally compact groups are essentially countable.
Potential role of hybrid positron emission tomography in pre-operative assessment of primary salivary gland carcinomas
Authors: Karimian S , Hüllner M W , Rupp N J , Freiberger S N , Broglie M A , Morand G B 
Published: June 2022

AbstractObjectiveThe added value of hybrid positron emission tomography is increasingly recognised in head and neck cancer. However, its potential role in salivary gland carcinomas has been scarcely investigated.MethodsA consecutive cohort of 45 salivary gland carcinoma patients who underwent pre-therapeutic hybrid positron emission tomography and surgical resection was reviewed. This study investigated whether maximum standardised uptake value correlated with tumour phenotype.ResultsTumours of high-grade disease on histology (salivary duct carcinoma, carcinoma ex pleomorphic adenoma) had higher maximum standardised uptake value (Kruskal–Wallis test, p = 0.011) than low-grade tumours (adenoid cystic carcinoma and acinic cell carcinoma). Patients with pathologically confirmed node-positive disease had significantly higher maximum standardised uptake value of the primary tumour than patients with pathologically confirmed node-negative disease (Kruskal–Wallis test, p = 0.012).ConclusionMaximum standardised uptake value of the primary tumour may guide clinical decision-making in patients with salivary gland carcinomas, as a high maximum standardised uptake value is associated with high-grade tumour histology and the presence of lymph node metastases. Clinicians may consider more aggressive surgery for these patients.
What's in a name? Common name misuse potentially confounds the conservation of the wild camel Camelus ferus
Authors: Jemmett Anna M. , Groombridge Jim J. , Hare John , Yadamsuren Adiya , Burger Pamela A. , Ewen John G. 
Published: June 2022

AbstractCommon names allow species diversity to be acknowledged by experts and non-specialists alike; they are descriptors with both scientific and cultural implications. However, a lack of clarity when using a common name could risk altering perceptions of threatened species. This is the case for the Critically Endangered wild camel Camelus ferus, which, despite extensive evidence of its species status, is frequently referred to in English as wild Bactrian camel. However, the wild camel (Mongolian: хавтгай, khavtgai; Chinese: 野骆驼, ye luo tuo) is not a wild version of the domestic Bactrian camel Camelus bactrianus but a separate species near extinction, with an estimated population of c. 950. Failure to clearly separate Bactrian and wild camels in name risks masking the plight of the few remaining wild camels with the visible abundance of the domesticated species. Here we advocate the use of the accurate English common name wild camel for C. ferus ideally alongside its Indigenous names to correctly represent its cultural and conservation importance.