bluuebunny/crossref_metadata_2025_split huggingface dataset:
Does socioeconomic position and gender affect human-nature interactions?
Authors: Tiscareno-Osorno Ximena , Hossaini Jihad , Chabursky Sophia , Sayed Nesma , Temizarabaci Ilayda , Hähl Wiebke , Beckmann Jürgen 
Published: October 2022

Abstract
Aim
The growing number of mental health problems worldwide is alarming. Encouraging human–nature interactions (HNIs) could help to tackle this issue. For this reason, the aim of the present research was to investigate certain components that promote HNI in two groups of students with different socioeconomic positions (SEPs) in Mexico. HNIs describe the direct relationship between humans and nature. HNIs are composed of elements such as connectedness to nature (CN) and commitment to the environment (CE), and are beneficial to both physical and mental health. However, the impact of CN and CE on people’s lives seems to depend on their SEP, which has been investigated mainly in developed countries where SEP is less salient compared with developing countries.

Methods
A survey was sent to students from two universities representing each group. A total of 210 surveys was collected.

Results
The results showed no differences in CN (p = .480) and CE (p = .421) regarding SEP. However, gender differences were found with females from a low SEP showing higher levels of CN than men (p = .015) from the same SEP. For high SEP, no differences were found. In addition, men showed a higher CE than women, regardless of their SEP.

Conclusion
Given the high vulnerability of women to mental health problems, it is of major importance to conduct more research considering the relationship between gender, HNI, SEP, and health in developing countries.
Large scale K-means clustering using GPUs
Authors: Li Mi , Frank Eibe , Pfahringer Bernhard 
Published: October 2022

AbstractThe k-means algorithm is widely used for clustering, compressing, and summarizing vector data. We present a fast and memory-efficient GPU-based algorithm for exact k-means, Asynchronous Selective Batched K-means (ASB K-means). Unlike most GPU-based k-means algorithms that require loading the whole dataset onto the GPU for clustering, the amount of GPU memory required to run our algorithm can be chosen to be much smaller than the size of the whole dataset. Thus, our algorithm can cluster datasets whose size exceeds the available GPU memory. The algorithm works in a batched fashion and applies the triangle inequality in each k-means iteration to omit a data point if its membership assignment, i.e., the cluster it belongs to, remains unchanged, thus significantly reducing the number of data points that need to be transferred between the CPU’s RAM and the GPU’s global memory and enabling the algorithm to very efficiently process large datasets. Our algorithm can be substantially faster than a GPU-based implementation of standard k-means even in situations when application of the standard algorithm is feasible because the whole dataset fits into GPU memory. Experiments show that ASB K-means can run up to 15x times faster than a standard GPU-based implementation of k-means, and it also outperforms the GPU-based k-means implementation in NVIDIA’s open-source RAPIDS machine learning library on all the datasets used in our experiments.
Energy Decay in the Dynamics of Complex Bodies with Spreading Microstructures Represented by $3D$ Vectors
Authors: Berti Diego , Bisconti Luca , Mariano Paolo Maria 
Published: October 2022

AbstractWe analyze complex bodies with active microstructure described by a vector field with values $\nu \in \mathbb{R}^{3}$
ν
∈

R
3

, which complements the displacement $u\in \mathbb{R}^{3}$
u
∈

R
3

. We consider linear elastic constitutive structures for macroscopic and microstructural stresses, diffusion of microstructures, and a viscoelastic-substrate-type effect, which has a regularizing influence that we eliminate at a later stage of our analysis. For weak solutions of the balance equations, we prove decay inequalities in $W^{1,2}$

W

1
,
2

and also for the $p$
p
-power of the norms of $u$
u
and $\nu $
ν
in $L^{p}$

L
p

spaces under slip-without-friction-type boundary conditions.
Real-time acoustic monitoring with telemetry to mitigate potential effects of seismic survey sounds on marine mammals: a case study offshore Sakhalin Island
Authors: Rutenko Alexander N. , Zykov Mikhail M. , Gritsenko Vladimir A. , Fershalov Mikhail Yu. , Jenkerson Michael R. , Racca Roberto , Nechayuk Vladimir E. 
Published: October 2022

AbstractExxon Neftegas Ltd. (ENL) carried out three 4D seismic surveys during the summer of 2015. Seismic operations in two of these fields (Odoptu and Chayvo) ensonified the nearshore feeding area of Korean-Okhotsk (western) gray whales (Eschrichtius robustus), potentially disturbing feeding activities. Following model-based optimization of the source design to minimize its lateral acoustic footprint, pre-season modeling was used to compute the acoustic exposure along each survey line. Real-time acoustic data facilitated implementation of mitigation measures aimed to minimize disturbance of whales. Acoustic data originated from underwater recorders deployed on the seafloor. Two complementary approaches were used to transmit recorded sound data to a computer housed at the Central Post (CP), where decisions regarding mitigation shut downs were made. In the first approach, a limited bandwidth (2–2000 Hz) sampling of the data was transmitted via cable to a surface buoy, which relayed these data to a shore station up to 15 km away via digital VHF telemetry. At the shore station, acoustic impulses from the seismic surveys were processed to compute impulse characteristics in the form of estimates of sound exposure level and peak sound pressure level, as well as one-minute-average 1/3-octave power spectral density coefficients, which were then transmitted to the CP via the internet. In the second, the pulse characteristics were computed through algorithms running on an onboard processor in each recorder’s surface buoy and sent directly to the CP computer via an Iridium satellite uplink. Both methods of data transfer proved viable, but Iridium transmission achieved the goal without the need for any shore based relay stations and is therefore more operationally efficient than VHF transmission. At the CP, analysts used the real-time acoustic data to calibrate and adjust the output of pre-season acoustical model runs. The acoustic footprint for the active seismic source, advancing synchronously with the motion of the seismic vessel and changing as the sound propagation environment changed, was computed from the calibrated and adjusted model output and integrated through the software Pythagoras with locations of gray whales provided by shore-based observers. This enabled analysts to require air gun array shutdowns before whales were exposed to mean square sound pressure levels greater than the behavioral response threshold of 163 dB re 1 μPa2. The method described here provides a realistic means of mitigating the possible effects of air guns at a behavioral response level, whereas most seismic surveys rely on pre-established mitigation radii to manage the risk of injury to a whale.
Corneal cross-linking guards against infectious keratitis: an experimental model
Authors: Marrie Ayah , Abdullatif Abdussalam M , Gamal El Dine Sherief , Yehia Rania , Saied Randa , Tolba Doaa Ahmed 
Published: October 2022

AbstractBackgroundPACK-CXL (photo-activated chromophore for keratitis–corneal cross-linking) is an alternative option in treatment of corneal infections. It inhibits corneal melting by increasing the stromal resistance, besides the microbicidal effect of photo-activated riboflavin.MethodsCorneal infection with Pseudomonas aeruginosa and Staph aureus bacteria was induced in 20 eyes of 10 rabbits after 6 weeks of corneal cross-linking in half of the eyes, while the other acted as control group. Clinical and corneal histopathological examination was done to evaluate the extent of inflammation, ulceration, organism penetration, and depth of corneal stromal affection.ResultsThe control eyes developed severe inflammation compared to the cross-linked eyes. Corneal melting occurred in 6 eyes in the control versus none in cross-linked group. Histopathological examination showed that the inflammation was confined to the superficial part of the stroma with localization of the inflammation in the cross-linked eyes in contrast to the control eyes that showed deep infiltration.ConclusionPACK-CXL provides infection localization through increasing the corneal rigidity and resistance to enzymatic digestion, even in the absence of the riboflavin microbicidal role. So, early PACK-CXL is worth to be considered in the IK treatment algorithm.
Kinetic assessment of the thermal decomposition of hemp fiber and the impact of pretreatments
Authors: Branca C. , Di Blasi C. 
Published: October 2022

AbstractMotivated by green building applications (bio-composite and insulation materials), thermogravimetric and kinetic analysis is applied to investigate the thermal degradation of cleaned hemp fibers (F), obtained after water retting and mechanical decortication of dioecious plant stalks, and technical fiber (TF), obtained after field retting of monoecious plant stalks. Celluloses (microcrystalline PH105 cellulose and cotton linter cellulose) are used for comparison. F and TF dynamic curves are well described by a four-step scheme. The dominant one concerns pseudo-cellulose decomposition with the release of 70 and 54 mass% volatile matter, respectively. The corresponding activation energies are in the range of typical cellulose values (223 and 211 KJ mol−1). Fiber pretreatments (water washing, mild torrefaction, mercerization) modify the pseudo-cellulose content (release of 73–80 mass% volatile matter) and properties, as testified by the higher activation energies (229–248 kJ mol−1) of the decomposition process. The decortication method also contributes remarkably to the characteristics of the fiber cellulose.
Responsible model deployment via model-agnostic uncertainty learning
Authors: Lahoti Preethi , Gummadi Krishna , Weikum Gerhard 
Published: October 2022

AbstractReliably predicting potential failure risks of machine learning (ML) systems when deployed with production data is a crucial aspect of trustworthy AI. This paper introduces the Risk Advisor, a novel post-hoc meta-learner for estimating failure risks and predictive uncertainties of any already-trained black-box classification model. In addition to providing a risk score, the Risk Advisor decomposes the uncertainty estimates into aleatoric and epistemic uncertainty components, thus giving informative insights into the sources of uncertainty inducing the failures. Consequently, Risk Advisor can distinguish between failures caused by data variability, data shifts and model limitations and provide useful guidance on appropriate risk mitigation actions (e.g., collecting more data to counter data shift). Extensive experiments on various families of black-box classification models and on real-world and synthetic datasets covering common ML failure scenarios show that the Risk Advisor reliably predicts deployment-time failure risks in all the scenarios, and outperforms strong baselines.
Dimensional reduction of Courant sigma models and Lie theory of Poisson groupoids
Authors: Cabrera Alejandro , Cueca Miquel 
Published: October 2022

AbstractWe show that the 2d Poisson Sigma Model on a Poisson groupoid arises as an effective theory of the 3d Courant Sigma Model associated with the double of the underlying Lie bialgebroid. This field-theoretic result follows from a Lie-theoretic one involving a coisotropic reduction of the odd cotangent bundle by a generalized space of algebroid paths. We also provide several examples, including the case of symplectic groupoids in which we relate the symplectic realization construction of Crainic–Marcut to a particular gauge fixing of the 3d theory.
Individual lipid transfer proteins from Tanacetum parthenium show different specificity for extracellular accumulation of sesquiterpenes
Authors: Kashkooli Arman Beyraghdar , van Dijk Aalt D. J. , Bouwmeester Harro , van der Krol Alexander 
Published: October 2022

Abstract
Key message
A highly specialized function for individual LTPs for different products from the same terpenoid biosynthesis pathway is described and the function of an LTP GPI anchor is studied.

Abstract
Sequiterpenes produced in glandular trichomes of the medicinal plant Tanacetum parthenium (feverfew) accumulate in the subcuticular extracellular space. Transport of these compounds over the plasma membrane is presumably by specialized membrane transporters, but it is still not clear how these hydrophobic compounds are subsequently transported over the hydrophilic cell wall. Here we identified eight so-called non-specific Lipid transfer proteins (nsLTPs) genes that are expressed in feverfew trichomes. A putative function of these eight nsLTPs in transport of the lipophilic sesquiterpene lactones produced in feverfew trichomes, was tested in an in-planta transport assay using transient expression in Nicotiana benthamiana. Of eight feverfew nsLTP candidate genes analyzed, two (TpLTP1 and TpLTP2) can specifically improve extracellular accumulation of the sesquiterpene costunolide, while one nsLTP (TpLTP3) shows high specificity towards export of parthenolide. The specificity of the nsLTPs was also tested in an assay that test for the exclusion capacity of the nsLTP for influx of extracellular substrates. In such assay, TpLTP3 was identified as most effective in blocking influx of both costunolide and parthenolide, when these substrates are infiltrated into the apoplast. The TpLTP3 is special in having a GPI-anchor domain, which is essential for the export activity of TpLTP3. However, addition of the TpLTP3 GPI-anchor domain to TpLTP1 resulted in loss of TpLTP1 export activity. These novel export and exclusion assays thus provide new means to test functionality of plant nsLTPs.
Utilitarian Contingent Pacifism and Article 9 of the Japanese Constitution
Authors: Chan Benedict S. B. 
Published: October 2022

AbstractFor the role of utilitarianism in the ethics of war and peace, Shaw suggests there is a Utilitarian War Principle (UWP) and argues that the principles of the just war theory should be treated as intermediate principles that are subordinated to UWP. He also argues that the state should be the primary legitimate authority to wage war and holder of the right of national defense. I argue that the utilitarian approach should be specifically linked with contingent pacifism, a new understanding of pacifism from within the just war tradition, and the utilitarian contingent pacifism only endorses individual self-defense but not national defense. This finding is not only theoretically important but has practical implications for the debate on Article 9 of the Japanese Constitution. Utilitarian contingent pacifism supports the idealist position that Article 9 is morally significant because it makes Japan a pioneer of the new kind of pacifism.
Stratification effects without morphological strata, syllable counting effects without counts – modelling English stress assignment with Naive Discriminative Learning
Authors: Arndt-Lappe Sabine , Schrecklinger Robin , Tomaschek Fabian 
Published: October 2022

AbstractStress position in English words is well-known to correlate with both their morphological properties and their phonological organisation in terms of non-segmental, prosodic categories like syllable structure. While two generalisations capturing this correlation, directionality and stratification, are well established, the exact nature of the interaction of phonological and morphological factors in English stress assignment is a much debated issue in the literature. The present study investigates if and how directionality and stratification effects in English can be learned by means of Naive Discriminative Learning, a computational model that is trained using error-driven learning and that does not make any a-priori assumptions about the higher-level phonological organisation and morphological structure of words. Based on a series of simulation studies we show that neither directionality nor stratification need to be stipulated as a-priori properties of words or constraints in the lexicon. Stress can be learned solely on the basis of very flat word representations. Morphological stratification emerges as an effect of the model learning that informativity with regard to stress position is unevenly distributed across all trigrams constituting a word. Morphological affix classes like stress-preserving and stress-shifting affixes are, hence, not predefined classes but sets of trigrams that have similar informativity values with regard to stress position. Directionality, by contrast, emerges as spurious in our simulations; no syllable counting or recourse to abstract prosodic representations seems to be necessary to learn stress position in English.
Segmentation techniques of brain arteriovenous malformations for 3D visualization: a systematic review
Authors: Colombo Elisa , Fick Tim , Esposito Giuseppe , Germans Menno , Regli Luca , van Doormaal Tristan 
Published: October 2022

Abstract
Background
Visualization, analysis and characterization of the angioarchitecture of a brain arteriovenous malformation (bAVM) present crucial steps for understanding and management of these complex lesions. Three-dimensional (3D) segmentation and 3D visualization of bAVMs play hereby a significant role. We performed a systematic review regarding currently available 3D segmentation and visualization techniques for bAVMs.

Methods
PubMed, Embase and Google Scholar were searched to identify studies reporting 3D segmentation techniques applied to bAVM characterization. Category of input scan, segmentation (automatic, semiautomatic, manual), time needed for segmentation and 3D visualization techniques were noted.

Results
Thirty-three studies were included. Thirteen (39%) used MRI as baseline imaging modality, 9 used DSA (27%), and 7 used CT (21%). Segmentation through automatic algorithms was used in 20 (61%), semiautomatic segmentation in 6 (18%), and manual segmentation in 7 (21%) studies. Median automatic segmentation time was 10 min (IQR 33), semiautomatic 25 min (IQR 73). Manual segmentation time was reported in only one study, with the mean of 5–10 min. Thirty-two (97%) studies used screens to visualize the 3D segmentations outcomes and 1 (3%) study utilized a heads-up display (HUD). Integration with mixed reality was used in 4 studies (12%).

Conclusions
A golden standard for 3D visualization of bAVMs does not exist. This review describes a tendency over time to base segmentation on algorithms trained with machine learning. Unsupervised fuzzy-based algorithms thereby stand out as potential preferred strategy. Continued efforts will be necessary to improve algorithms, integrate complete hemodynamic assessment and find innovative tools for tridimensional visualization.
Von den „frustrierten akademischen Plebejern“ zum gesellschaftlichen „Patriziat“
Authors: Klein Markus 
Published: October 2022

ZusammenfassungDer Beitrag untersucht die Entwicklung der Wählerschaft von Bündnis90/Die Grünen seit der Gründung der Partei. Die Datengrundlage bilden die kumulierten ALLBUS-Erhebungen der Jahre 1980–2018. Über den Untersuchungszeitraum hinweg zeigt sich für Westdeutschland ein steigender Trend in der Unterstützung von Bündnis90/Die Grünen. Mittels einer hierarchischen Alter-Perioden-Kohorten-Analyse mit fixen Kohorteneffekten (HAPK-FC) wird gezeigt, dass die Unterstützung für Bündnis90/Die Grünen in der Generationenfolge zunimmt. Lebenszykluseffekte existieren hingegen nicht. Darüber hinaus lässt sich ein positiver Effekt der Zugehörigkeit zur sozialen und kulturellen Dienstklasse auf die Wahl der Grünen nachweisen. In abgeschwächter Form zeigen sich diese Befunde auch in Ostdeutschland.
Noninvasive assessment of renal function and fibrosis in CKD patients using histogram analysis based on diffusion kurtosis imaging
Authors: Yuan Guanjie , Qu Weinuo , Li Shichao , Liang Ping , He Kangwen , Li Anqin , Li Jiali , Hu Daoyu , Xu Chuou , Li Zhen 
Published: October 2022

Abstract
Purpose
To investigate the potential of histogram analysis based on diffusion kurtosis imaging (DKI) in evaluating renal function and fibrosis associated with chronic kidney disease (CKD).

Materials and methods
Thirty-six CKD patients were enrolled, and DKI was performed in all patients before the renal biopsy. The histogram parameters of diffusivity (D) and kurtosis (K) were obtained using FireVoxel. The histogram parameters between the stable [estimated glomerular filtration rate (eGFR) ≥ 60 ml/min/1.73 m2] and impaired (eGFR < 60 ml/min/1.73 m2) eGFR group were compared. Besides, patients were classified into mild, moderate, and severe fibrosis group using a semi-quantitative standard. The correlations of histogram parameters with eGFR and fibrosis scores were investigated and the diagnostic performances of histogram parameters in assessing renal dysfunction and fibrosis were analyzed. The added value of combination of most significant parameter with 24 h urinary protein (24 h-UPRO) in evaluating fibrosis was also explored.

Results
Seven D histogram parameters in cortex (mean, median, 10th, 25th, 75th, 90th percentiles and entropy), two D histogram parameters in medulla (75th, 90th percentiles), seven K histogram parameters in cortex (mean, min, median, 10th, 25th, 75th, 90th percentiles) and three K histogram parameters in medulla (mean, median, 25th percentile) were significantly different between the two groups. The Dmean of cortex was the most relevant parameter to eGFR (r = 0.648, P < 0.001) and had the largest area under the curve (AUC) for differentiating the stable from impaired eGFR group [AUC = 0.889; 95% confidence interval (CI) 0.728–0.970]. The K90th of cortex presented the strongest correlation with fibrosis scores (r = 0.575, P < 0.001) and achieved the largest AUC for distinguishing the mild from moderate to severe fibrosis group (AUC = 0.849, 95% CI 0.706–0.993). Combining the K90th in cortex with 24 h-UPRO gained statistically higher AUC value (AUC = 0.880, 95% CI 0.763–0.996).

Conclusion
Histogram analysis based on DKI is practicable for the noninvasive assessment of renal function and fibrosis in CKD patients.
Carney complex- why thorough medical history taking is so important - report of three cases and review of the literature
Authors: Harbeck B. , Flitsch J. , Kreitschmann-Andermahr I. 
Published: October 2022

Abstract
Purpose
To present a new case series and to review the literature on Carney complex (CNC) with an emphasis on highlighting key clinical features of the disease and pointing out possibilities of shortening the diagnostic process.

Method
Searches of PubMed, identifying relevant reports up to April 2022.

Results
CNC is a rare, autosomally dominant inherited neoplasia -endocrinopathy syndrome with high clinical variability, even among members of the same family. Data on length of diagnostic process are scarce with numerous case series reporting a diagnostic delay of decades. Suggestions to shorten the diagnostic process includes awareness of the multi-faceted clinical presentations of CNC, thorough history taking of index patients and family members and awareness of diagnostic pitfalls. Importantly, unusual symptom combinations should alert the clinician to suspect a rare endocrinopathy syndrome such as CNC. Already present and coming on the horizon are databases and novel phenotyping technologies that will aid endocrinologists in their quest for timely diagnosis.

Conclusion
In this review, we examine the current state of knowledge in CNC and suggest avenues for shortening the diagnostic journey for the afflicted patients.