bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aquirufa lenticrescens sp. nov. and Aquirufa aurantiipilula sp. nov.: two new species of a lineage of widespread freshwater bacteria
Authors: Pitt Alexandra , Koll Ulrike , Schmidt Johanna , Neumann-Schaal Meina , Wolf Jacqueline , Krausz Sophia , Hahn Martin W. 
Published: June 2022

AbstractTwo bacterial strains, 9H-EGSET and 15D-MOBT, were isolated from small freshwater habitats located near Salzburg, Austria. They showed the highest 16S rRNA sequence similarities of 100% and 99.9%, respectively, with type strains of species of the genus Aquirufa (Bacteroidota). Genome-based phylogenetic reconstructions with 119 amino acid sequences assigned the new taxa to the two distinct branches of the genus Aquirufa. Whole-genome average nucleotide identities were calculated with all possible pairs belonging to the genus. Values between 75.4% and 88.6% revealed that the two new strains represent each a new species. Like all, so far described members of the genus, they grew aerobically and chemoorganotrophically, were rod-shaped, red-pigmented, and motile by gliding, and showed genome sizes of about 3 Mbp and G + C values of about 40%. They could be distinguished by some phenotypic and chemotaxonomic features from their nearest related species. Until now, strain 9H-EGSET is the only one among the Aquirufa strains which contained traces of MK8 as respiratory quinone, and strain 15D-MOBT is the only one that formed tiny orange globules in liquid medium. The genome of strain 9H-EGSET comprised genes for the complete light-harvesting rhodopsin / retinal system, in the case of 15D-MOBT genes predicted for a nitrous oxide reductase were present. For the two new species of the genus Aquirufa, we propose to establish the names Aquirufa lenticrescens for strain 9H-EGSET (= JCM 34077 T = CIP 111926 T) and Aquirufa aurantiipilula for strain 15D-MOBT (= JCM 34078 T = CIP 111925 T).
Baseline clinical characteristics predict overall survival in patients undergoing radioligand therapy with [177Lu]Lu-PSMA I&T during long-term follow-up
Authors: Hartrampf Philipp E. , Seitz Anna Katharina , Weinzierl Franz-Xaver , Serfling Sebastian E. , Schirbel Andreas , Rowe Steven P. , Kübler Hubert , Buck Andreas K. , Werner Rudolf A. 
Published: June 2022

Abstract

Background
Radioligand therapy (RLT) with 177Lu-labeled prostate-specific membrane antigen (PSMA) ligands is associated with prolonged overall survival (OS) in patients with advanced, metastatic castration-resistant prostate cancer (mCRPC). A substantial number of patients, however, are prone to treatment failure. We aimed to determine clinical baseline characteristics to predict OS in patients receiving [177Lu]Lu-PSMA I&T RLT in a long-term follow-up.

Materials and methods
Ninety-two mCRPC patients treated with [177Lu]Lu-PSMA I&T with a follow-up of at least 18 months were retrospectively identified. Multivariable Cox regression analyses were performed for various baseline characteristics, including laboratory values, Gleason score, age, prior therapies, and time interval between initial diagnosis and first treatment cycle (intervalDiagnosis-RLT, per 12 months). Cutoff values for significant predictors were determined using receiver operating characteristic (ROC) analysis. ROC-derived thresholds were then applied to Kaplan–Meier analyses.

Results
Baseline C-reactive protein (CRP; hazard ratio [HR], 1.10, 95% CI 1.02–1.18; P = 0.01), lactate dehydrogenase (LDH; HR, 1.07, 95% CI 1.01–1.11; P = 0.01), aspartate aminotransferase (AST; HR, 1.16, 95% CI 1.06–1.26; P = 0.001), and intervalDiagnosis-RLT (HR, 0.95, 95% CI 0.91–0.99; P = 0.02) were identified as independent prognostic factors for OS. The following respective ROC-based thresholds were determined: CRP, 0.98 mg/dl (area under the curve [AUC], 0.80); LDH, 276.5 U/l (AUC, 0.83); AST, 26.95 U/l (AUC, 0.73); and intervalDiagnosis-RLT, 43.5 months (AUC, 0.68; P < 0.01, respectively). Respective Kaplan–Meier analyses demonstrated a significantly longer median OS of patients with lower CRP, lower LDH, and lower AST, as well as prolonged intervalDiagnosis-RLT (P ≤ 0.01, respectively).

Conclusion
In mCRPC patients treated with [177Lu]Lu-PSMA I&T, baseline CRP, LDH, AST, and time interval until RLT initiation (thereby reflecting a possible indicator for tumor aggressiveness) are independently associated with survival. Our findings are in line with previous findings on [177Lu]Lu-PSMA-617, and we believe that these clinical baseline characteristics may support the nuclear medicine specialist to identify long-term survivors.
Image-Guided Embolotherapy of Arteriovenous Malformations of the Face
Authors: Schmidt Vanessa F. , Masthoff Max , Brill Richard , Sporns Peter B. , Köhler Michael , Schulze-Zachau Victor , Takes Martin , Ehrl Denis , Puhr-Westerheide Daniel , Kunz Wolfgang G. , Shemwetta Mwivano Dunstan , Mbuguje Eric M. , Naif Azza A. , Sarkar Abizer , Ricke Jens , Seidensticker Max , Wohlgemuth Walter A. , Wildgruber Moritz 
Published: June 2022

Abstract
Purpose
To evaluate the safety and outcome of image-guided embolotherapy of extracranial arteriovenous malformations (AVMs) primarily affecting the face.

Materials and Methods
A multicenter cohort of 28 patients presenting with AVMs primarily affecting the face was retrospectively investigated. Fifty image-guided embolotherapies were performed, mostly using ethylene–vinyl alcohol copolymer-based embolic agents. Clinical and imaging findings were assessed to evaluate response during follow-up (symptom-free, partial relief of symptoms, no improvement, and progression despite embolization), lesion devascularization (total, 100%; substantial, 76–99%; partial, 51–75%; failure, < 50%; and progression), and complication rates (classified according to the CIRSE guidelines). Sub-analyses regarding clinical outcome (n = 24) were performed comparing patients with (n = 12) or without (n = 12) subsequent surgical resection after embolotherapy.

Results
The median number of embolotherapy sessions was 2.0 (range, 1–4). Clinical outcome after a mean follow-up of 12.4 months (± 13.3; n = 24) revealed a therapy response in 21/24 patients (87.5%). Imaging showed total devascularization in 14/24 patients (58.3%), including the 12 patients with subsequent surgery and 2 additional patients with embolotherapy only. Substantial devascularization (76–99%) was assessed in 7/24 patients (29.2%), and partial devascularization (51–75%) in 3/24 patients (12.5%). Complications occurred during/after 12/50 procedures (24.0%), including 18.0% major complications. Patients with subsequent surgical resections were more often symptom-free at the last follow-up compared to the group having undergone embolotherapy only (p = 0.006).

Conclusion
Image-guided embolotherapy is safe and effective for treating extracranial AVMs of the face. Subsequent surgical resections after embolization may substantially improve patients’ clinical outcome, emphasizing the need for multimodal therapeutic concepts.

Level of Evidence
Level 4, Retrospective study.
Semicircular families of general covariance from Wigner matrices with permuted entries
Authors: Au Benson 
Published: June 2022

AbstractLet $$(\sigma _N^{(i)})_{i \in I}$$

(

σ
N

(
i
)

)

i
∈
I

be a family of symmetric permutations of the entries of a Wigner matrix $${\mathbf {W}}_N$$

W
N

. We characterize the limiting traffic distribution of the corresponding family of dependent Wigner matrices $$({\mathbf {W}}_N^{\sigma _N^{(i)}})_{i \in I}$$

(

W
N

σ
N

(
i
)

)

i
∈
I

in terms of the geometry of the permutations. We also consider the analogous problem for the limiting joint distribution of $$({\mathbf {W}}_N^{\sigma _N^{(i)}})_{i \in I}$$

(

W
N

σ
N

(
i
)

)

i
∈
I

. In particular, we obtain a description in terms of semicircular families with general covariance structures. As a special case, we derive necessary and sufficient conditions for traffic independence as well as sufficient conditions for free independence.
Impact of the COVID-19 pandemic on mental health and family situation of clinically referred children and adolescents in Switzerland: results of a survey among mental health care professionals after 1 year of COVID-19
Authors: Werling Anna Maria , Walitza Susanne , Eliez Stephan , Drechsler Renate 
Published: June 2022

AbstractThe aim of this study was to assess the impact of the COVID-19 pandemic on mental well-being of clinically referred children and adolescents and on their families from the perspective of mental health care professionals in Switzerland during the first year of the pandemic. Psychiatrists and psychologists for children and adolescents participated in an anonymous survey conducted online in April/May 2021. The survey was completed by 454 mental health care professionals, most of them working in outpatient clinics for child and adolescent psychiatry or in independent practices. Most participants indicated an important increase of referrals for depression (86.8% of respondents), anxiety disorders (81.5%), crisis interventions (76.2%), psychosomatic disorders (66.1%), suicidality (63.8%), and behavioral addictions, e.g., excessive gaming (64.6%). In contrast, referrals or treatment demands for disorders such as autism spectrum disorder or psychosis showed no substantial change or a slight decrease, respectively. According to 69% of respondents, patients experienced the highest psychological burden in January/February/March 2021. Family problems very frequently reported by mental health professionals were parents’ worries about loneliness/isolation of the child (49%), child’s education and academic future (33%), increased media use due to missing options of recreational activities (37.6%), as well as multiple stresses of mothers (36.3%). To conclude, the pandemic has substantially changed the pattern of disorders and the number of clinical referrals of children and adolescents with mental health problems, which has serious consequences for the treatment supply in Switzerland.
Detecting impacts of surface development near weather stations since 1895 in the San Joaquin Valley of California
Authors: Kim Diane , Christy John R. 
Published: June 2022

AbstractTemperature readings observed at surface weather stations have been used for detecting changes in climate due to their long period of observations. The most common temperature metrics recorded are the daily maximum (TMax) and minimum (TMin) extremes. Unfortunately, influences besides background climate variations impact these measurements such as changes in (1) instruments, (2) location, (3) time of observation, and (4) the surrounding artifacts of human civilization (buildings, farms, streets, etc.) Quantifying (4) is difficult because the surrounding infrastructure, unique to each site, often changes slowly and variably and is thus resistant to general algorithms for adjustment. We explore a direct method of detecting this impact by comparing a single station that experienced significant development from 1895 to 2019, and especially since 1970, relative to several other stations with lesser degrees of such development (after adjustments for the (1) to (3) are applied). The target station is Fresno, California (metro population ~ 15,000 in 1900 and ~ 1 million in 2019) situated on the eastern side of the broad, flat San Joaquin Valley in which several other stations reside. A unique component of this study is the use of pentad (5-day averages) as the test metric. Results indicate that Fresno experienced + 0.4 °C decade−1 more nighttime warming (TMin) since 1970 than its neighbors—a time when population grew almost 300%. There was little difference seen in TMax trends between Fresno and non-Fresno stations since 1895 with TMax trends being near zero. A case is made for the use of TMax as the preferred climate metric relative to TMin for a variety of physical reasons. Additionally, temperatures measured at systematic times of the day (i.e., hourly) show promise as climate indicators as compared with TMax and especially TMin (and thus TAvg) due to several complicating factors involved with daily high and low measurements.
The good, the bad and the worse: current, past and future consumption externalities and equilibrium efficiency
Authors: Gómez Manuel A. 
Published: June 2022

AbstractWe consider an Ak model in which instantaneous utility of the representative agent depends not only on current consumption, but also on a forward-looking external reference level which is specified as an exponentially declining average of future economy-wide average consumption. We show that the decentralized equilibrium is never efficient irrespective of the specification of the utility function. This result differs significantly from the implications of alternative specifications of the external reference level: In case that the latter is given by contemporaneous average consumption, the decentralized equilibrium is always efficient. However, if it is backward-looking, then efficiency obtains only if the arguments of the utility function are perfectly substitutable.
Natural Language Processing for Imaging Protocol Assignment: Machine Learning for Multiclass Classification of Abdominal CT Protocols Using Indication Text Data
Authors: Xavier Brian Arun , Chen Po-Hao 
Published: June 2022

Abstract
A correct protocol assignment is critical to high-quality imaging examinations, and its automation can be amenable to natural language processing (NLP). Assigning protocols for abdominal imaging CT scans is particularly challenging given the multiple organ specific indications and parameters. We compared conventional machine learning, deep learning, and automated machine learning builder workflows for this multiclass text classification task. A total of 94,501 CT studies performed over 4 years and their assigned protocols were obtained. Text data associated with each study including the ordering provider generated free text study indication and ICD codes were used for NLP analysis and protocol class prediction. The data was classified into one of 11 abdominal CT protocol classes before and after augmentations used to account for imbalances in the class sample sizes. Four machine learning (ML) algorithms, one deep learning algorithm, and an automated machine learning (AutoML) builder were used for the multilabel classification task: Random Forest (RF), Tree Ensemble (TE), Gradient Boosted Tree (GBT), multi-layer perceptron (MLP), Universal Language Model Fine-tuning (ULMFiT), and Google’s AutoML builder (Alphabet, Inc., Mountain View, CA), respectively. On the unbalanced dataset, the manually coded algorithms all performed similarly with F1 scores of 0.811 for RF, 0.813 for TE, 0.813 for GBT, 0.828 for MLP, and 0.847 for ULMFiT. The AutoML builder performed better with a F1 score of 0.854. On the balanced dataset, the tree ensemble machine learning algorithm performed the best with an F1 score of 0.803 and a Cohen’s kappa of 0.612. AutoML methods took a longer time for completion of NLP model training and evaluation, 4 h and 45 min compared to an average of 51 min for manual methods. Machine learning and natural language processing can be used for the complex multiclass classification task of abdominal imaging CT scan protocol assignment.
Computing Gaussian quadrature rules with high relative accuracy
Authors: Laudadio Teresa , Mastronardi Nicola , Van Dooren Paul 
Published: June 2022

AbstractThe computation of n-point Gaussian quadrature rules for symmetric weight functions is considered in this paper. It is shown that the nodes and the weights of the Gaussian quadrature rule can be retrieved from the singular value decomposition of a bidiagonal matrix of size n/2. The proposed numerical method allows to compute the nodes with high relative accuracy and a computational complexity of $ \mathcal {O} (n^{2}). $
O
(

n

2

)
.
We also describe an algorithm for computing the weights of a generic Gaussian quadrature rule with high relative accuracy. Numerical examples show the effectiveness of the proposed approach.
The path to contentless experience in meditation: An evidence synthesis based on expert texts
Authors: Woods Toby J. , Windt Jennifer M. , Carter Olivia 
Published: June 2022

Abstract
In contentless experience (sometimes termed pure consciousness) there is an absence of mental content such as thought, perception, and mental imagery. The path to contentless experience in meditation can be taken to comprise the meditation technique, and the experiences (“interim-states”) on the way to the contentless “goal-state/s”. Shamatha, Transcendental, and Stillness Meditation are each said to access contentless experience, but the path to that experience in each practice is not yet well understood from a scientific perspective. We have employed evidence synthesis to select and review 135 expert texts from those traditions. In this paper we describe the techniques and interim-states based on the expert texts and compare them across the practices on key dimensions. Superficially, Shamatha and Transcendental Meditation appear very different to Stillness Meditation in that they require bringing awareness to a meditation object. The more detailed and systematic approach taken in this paper indicates that posturally Shamatha is closer to Stillness Meditation, and that on several other dimensions Shamatha is quite different to both other practices. In particular, Shamatha involves greater measures to cultivate attentional stability and vividness with respect to an object, greater focusing, less tolerance of mind-wandering, more monitoring, and more deliberate doing/control. Achieving contentless experience in Shamatha is much slower, more difficult, and less frequent. The findings have important implications for taxonomies of meditation and for consciousness, neuroscientific, and clinical research/practice, and will provide new and useful insights for meditation practitioners.
Is Two Still Best? Change in Parity-Specific Fertility Across Education in Low-Fertility Countries
Authors: Brzozowska Zuzanna , Beaujouan Eva , Zeman Kryštof 
Published: June 2022

AbstractThe dominance of two-child families is considered an intrinsic characteristic of low fertility societies. Their share was continuously increasing among baby boom cohorts but the rise ceased afterwards. While parity- and education-specific fertility trends during the expansion of the two-child families have been studied, corresponding analyses of developments in the post-expansion birth cohorts are scarce. This study investigates the parity-specific fertility trends that ended the expansion of two-child families across educational groups. We use data on completed fertility of female cohorts born between 1936 and 1970 in 16 low-fertility countries. Besides examining trends in education- and parity-specific fertility, we provide evidence on increasing variation in family size and on the contribution of parity-specific fertility to the share of two child families among women with low, medium and high education. Our results show that the expansion of two-child families stopped as the variation in family size increased: transition rates to first and/or second birth declined whereas those to third birth increased. This polarisation process was strongest among women with low education. Apparently, as the number of women progressing to second birth declined, they became more selected and family-oriented, and thus more likely to progress to further births. The fact that the strongest polarisation of fertility was observed among the low educated reflects the group’s increasing selectivity. We demonstrate that rising polarisation of family size is a common development to most high-income low-fertility populations, especially among the low educated, regardless of substantial cross-country differences in fertility levels as well as in institutional, economic and cultural settings.
Explaining costly religious practices: credibility enhancing displays and signaling theories
Authors: Brusse Carl , Handfield Toby , Zollman Kevin J. S. 
Published: June 2022

AbstractThis paper examines and contrasts two closely related evolutionary explanations in human behaviour: signalling theory, and the theory of Credibility Enhancing Displays (CREDs). Both have been proposed to explain costly, dangerous, or otherwise ‘extravagant’ social behaviours, especially in the context of religious belief and practice, and each have spawned significant lines of empirical research. However, the relationship between these two theoretical frameworks is unclear, and research which engages both of them (especially in systematic comparison) is largely absent. In this paper we seek to address this gap at the theoretical level, examining the core differences between the two approaches and prospects and conditions for future empirical testing. We clarify the dynamical and mechanistic bases of signalling and CREDs as explanatory models and contrast the previous uses to which they have been put in the human sciences. Because of idiosyncrasies regarding those uses (especially with signalling), several commonly supposed differences and comparative advantages are actually misleading and not in fact generalisable. We also show that signalling and CREDs theories as explanatory models are not interchangeable (or reducible to one another), because of deep structural differences. As we illustrate, the proposed causal networks of each theory are distinct, with important differences in the endogeneity of various phenomena within each model and their explanatory targets. As a result, they can be seen as complementary rather than in competition. We conclude by surveying the current state of the literature and identifying the differential predictions which could underpin more comprehensive empirical comparison in future research.
Unemployment in Rural Europe: A Machine Learning Perspective
Authors: Celbiş Mehmet Güney 
Published: June 2022

AbstractThis paper aims to provide policy-relevant findings that can contribute to the resilience of rural regions by discovering the main individual-level factors related to unemployment in those areas through the use of a set of machine learning techniques. Unemployment status is predicted using tree-based classification models: namely, classification tree, bootstrap aggregation, random forest, gradient boosting, and stochastic gradient boosting. The results are further analyzed using inferential techniques such as SHAP value analysis. Results suggest that access to training programmes can mitigate the labor market inequalities caused by differences in education levels, gender, age, alongside with parental education levels. The results also show how such inequalities are even larger for various subgroups detected by the employed algorithms.