bluuebunny/crossref_metadata_2025_split huggingface dataset:
Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms
Authors: Arian Fatemeh , Amini Mehdi , Mostafaei Shayan , Rezaei Kalantari Kiara , Haddadi Avval Atlas , Shahbazi Zahra , Kasani Kianosh , Bitarafan Rajabi Ahmad , Chatterjee Saikat , Oveisi Mehrdad , Shiri Isaac , Zaidi Habib 
Published: August 2022

AbstractThe main aim of the present study was to predict myocardial function improvement in cardiac MR (LGE-CMR) images in patients after coronary artery bypass grafting (CABG) using radiomics and machine learning algorithms. Altogether, 43 patients who had visible scars on short-axis LGE-CMR images and were candidates for CABG surgery were selected and enrolled in this study. MR imaging was performed preoperatively using a 1.5-T MRI scanner. All images were segmented by two expert radiologists (in consensus). Prior to extraction of radiomics features, all MR images were resampled to an isotropic voxel size of 1.8 × 1.8 × 1.8 mm3. Subsequently, intensities were quantized to 64 discretized gray levels and a total of 93 features were extracted. The applied algorithms included a smoothly clipped absolute deviation (SCAD)–penalized support vector machine (SVM) and the recursive partitioning (RP) algorithm as a robust classifier for binary classification in this high-dimensional and non-sparse data. All models were validated with repeated fivefold cross-validation and 10,000 bootstrapping resamples. Ten and seven features were selected with SCAD-penalized SVM and RP algorithm, respectively, for CABG responder/non-responder classification. Considering univariate analysis, the GLSZM gray-level non-uniformity-normalized feature achieved the best performance (AUC: 0.62, 95% CI: 0.53–0.76) with SCAD-penalized SVM. Regarding multivariable modeling, SCAD-penalized SVM obtained an AUC of 0.784 (95% CI: 0.64–0.92), whereas the RP algorithm achieved an AUC of 0.654 (95% CI: 0.50–0.82). In conclusion, different radiomics texture features alone or combined in multivariate analysis using machine learning algorithms provide prognostic information regarding myocardial function in patients after CABG.
The supply-side climate policy of decreasing fossil fuel tax profiles: can subsidized reserves induce a green paradox?
Authors: Day Garth , Day Creina 
Published: August 2022

AbstractFossil fuel producers develop too many reserves for combustion due to subsidies for upfront development costs. The conventional wisdom is that downward-sloping tax profiles avoid green paradox outcomes by reducing present extraction. This paper shows that accounting for subsidized reserves development can induce green paradox outcomes for downward-sloping income tax profiles. A theoretical model linking reserves development and extraction with climate change damages is developed to explore conditions for the weak and strong green paradox outcomes of higher present extraction and cumulative damages. We find that the weak green paradox arises under higher and flatter income tax profiles. The strong green paradox is an ambiguous outcome without subsidized reserves development. Quantitative examples demonstrate the effect of downward-sloping tax profiles on crude oil extraction and how the strong green paradox arises when delayed emissions are less relevant for damages.
Exploring Continuum and Categorical Conceptualisations of Mental Health and Mental Illness on Australian Websites: A Systematic Review and Content Analysis
Authors: Fernandez Dominic K. , Singh Saniya , Deane Frank P. , Vella Stewart A. 
Published: August 2022

AbstractIt is important to explore the types of conceptualisations and causes presented in online mental health promotion given the implications that these presentations may have on mental health stigma. This study systematically reviewed 92 Australian webpages focused on either mental health, mental illness, depression, or schizophrenia, to explore the types of conceptualisations and aetiologies presented. A minority of mental health and mental illness webpages (n = 8, 8.70%) explicitly presented continuum conceptualisations, with none providing explicit categorical conceptualisations. No depression or schizophrenia webpages presented explicit conceptualisations of any kind. All four webpage foci had a greater proportion of continuum than categorical conceptualisations. Moreover, both depression and schizophrenia webpages presented many mixed conceptualisations which included both continuum and categorical messaging. Most webpages mentioned biological and social causes equally across webpage foci. These findings suggest that Australian mental health websites predominantly present continuum conceptualisations of mental health and mental illness.
Pension Wealth and the Gender Wealth Gap
Authors: Cordova Karla , Grabka Markus M. , Sierminska Eva 
Published: August 2022

AbstractWe examine the gender wealth gap with a focus on pension wealth and statutory pension rights. By taking into account employment characteristics of women and men, we are able to identify the extent to which the redistributive effect of pension rights reduces the gender wealth gap. The data for our analysis come from the German Socio-Economic Panel (SOEP), one of the few surveys that collects information on wealth and pension entitlements at the individual level. Pension wealth data are available in the SOEP for 2012 only. While the relative raw gender wealth gap is about 35% (or 31,000 euros) when analysing the standard measure of net worth, it shrinks to 28% when pension wealth is added. This reduction is due to redistributive elements such as caregiver credits provided through the statutory pension scheme. Results of a recentred influence functions (RIF) decomposition show that pension wealth reduces the gap substantially in the lower half of the distribution. At the 90th percentile, the gender wealth gap in net worth and in augmented wealth remains more stable at roughly 27–30%.
Real-time road safety optimization through network-level data management
Authors: Muthugama Lakmal , Xie Hairuo , Tanin Egemen , Karunasekera Shanika 
Published: August 2022

AbstractWith the increasing connectedness of vehicles, real-time spatio-temporal data can be collected from citywide road networks. Innovative data management solutions can process the collected data for the purpose of reducing travel time. However, a majority of the existing solutions have missed the opportunity to better manage the collected data for improving road safety at the network level. We propose an efficient data management framework that uses network-level data to improve road safety for citywide applications. Our framework uses a graph-based data structure to maintain real-time network-level traffic data. Based on the graph, the framework uses a novel technique to generate driving instructions for individual vehicles. By following the instructions, inter-vehicular spacing can be increased, leading to an improvement of road safety. Experimental results show that our framework improves road safety, measured based on the time to collision between vehicles, from the state-of-the-art traffic data management solutions by a large margin while achieving lower travel times compared with the solutions. The framework is also readily deployable for large-scale real-time applications due to its low computation costs.
Risky business: policy uncertainty and investment
Authors: Brusco Giacomo , Glass Benjamin 
Published: August 2022

AbstractPrevious work has shown that nonlinear taxation can affect the willingness to undertake risky investments. We show that similar results can arise if agents are uncertain regarding future tax rates. Uncertain taxes distort investment decisions when tax rates are correlated with marginal productivity. We demonstrate this result in a simple theoretical framework, which can also explain some well-known results on the effects of tax progressivity and tax asymmetry on investment. Time-series estimates for the post-WW2 era suggest a negative correlation between effective tax rates and total factor productivity in the USA, yielding an effect on firm investment equivalent to an investment subsidy of around 1 percent. Our results have wide-ranging implications for a variety of tax-related work, including effective tax rates, optimal audit policy, and principal-agent problems between investors and managers.
FastGrow: on-the-fly growing and its application to DYRK1A
Authors: Penner Patrick , Martiny Virginie , Bellmann Louis , Flachsenberg Florian , Gastreich Marcus , Theret Isabelle , Meyer Christophe , Rarey Matthias 
Published: August 2022

AbstractFragment-based drug design is an established routine approach in both experimental and computational spheres. Growing fragment hits into viable ligands has increasingly shifted into the spotlight. FastGrow is an application based on a shape search algorithm that addresses this challenge at high speeds of a few milliseconds per fragment. It further features a pharmacophoric interaction description, ensemble flexibility, as well as geometry optimization to become a fully fledged structure-based modeling tool. All features were evaluated in detail on a previously reported collection of fragment growing scenarios extracted from crystallographic data. FastGrow was also shown to perform competitively versus established docking software. A case study on the DYRK1A kinase, using recently reported new chemotypes, illustrates FastGrow’s features in practice and its ability to identify active fragments. FastGrow is freely available to the public as a web server at https://fastgrow.plus/ and is part of the SeeSAR 3D software package.
SARS-CoV-2 Delta Variant is Recognized Through GRP78 Host-Cell Surface Receptor, In Silico Perspective
Authors: Elfiky Abdo A. , Ibrahim Ibrahim M. , Elgohary Alaa M. 
Published: August 2022

AbstractDifferent SARS-CoV-2 new variants emerged and spread during the past few months, sparking infections and death counts. The new variant B.1.617 (delta variant) sparked in India in the past few months, causing the highest records. The B.1.617 variant of SARS-CoV-2 has the double mutations E484Q and L452R on its spike Receptor Binding Domain (RBD). The first mutation is like the reported South African and the Brazilian variants (501.V2 and B.1.1.248). This mutation lies in the region C480-C488, which we predicted before to be recognized by the host-cell receptor; Glucose Regulated Protein 78 (GRP78). In the current study, we test the binding affinity of the host-cell receptor GRP78 to the delta variant spike RBD using molecular docking and molecular dynamics simulations of up to 100 ns. Additionally, the ACE2-RBD is tested by protein–protein docking. The results reveal equal average binding affinities of the GRP78 against wildtype and delta variant spikes. This supports our previous predictions of the contribution of GRP78 in SARS-CoV-2 spike recognition as an auxiliary route for entry.
A user-guided Bayesian framework for ensemble feature selection in life science applications (UBayFS)
Authors: Jenul Anna , Schrunner Stefan , Pilz Jürgen , Tomic Oliver 
Published: August 2022

AbstractFeature selection reduces the complexity of high-dimensional datasets and helps to gain insights into systematic variation in the data. These aspects are essential in domains that rely on model interpretability, such as life sciences. We propose a (U)ser-Guided (Bay)esian Framework for (F)eature (S)election, UBayFS, an ensemble feature selection technique embedded in a Bayesian statistical framework. Our generic approach considers two sources of information: data and domain knowledge. From data, we build an ensemble of feature selectors, described by a multinomial likelihood model. Using domain knowledge, the user guides UBayFS by weighting features and penalizing feature blocks or combinations, implemented via a Dirichlet-type prior distribution. Hence, the framework combines three main aspects: ensemble feature selection, expert knowledge, and side constraints. Our experiments demonstrate that UBayFS (a) allows for a balanced trade-off between user knowledge and data observations and (b) achieves accurate and robust results.
Visualization of shallow subseafloor fluid migration in a shallow gas hydrate field using high-resolution acoustic mapping and ground-truthing and their implications on the formation process: a case study of the Sakata Knoll on the eastern margin of the Sea of Japan
Authors: Asada Miho , Satoh Mikio , Tanahashi Manabu , Yokota Toshiyuki , Goto Shusaku 
Published: August 2022

AbstractAcoustic mapping enables an understanding of the surface distribution of shallow gas hydrate (GH) and related products. Acoustically characteristic materials such as fluid-seepage-related methane-derived authigenic carbonate and/or shallow GHs, may be widely distributed beneath the shallow seafloor of the Sakata Knoll. High-amplitude reflectors over the knoll are the top of gas-bearing permeable layers and connect to the reverse fault at the foot of the knoll. Shallow GH and bacterial mats were observed at the high-amplitude layer cut by depression and/or the locally disturbed seafloor. Acoustic blanking zones observed on the sub-bottom profiler sections are current gas migration routes from the depth to the seafloor. Optical observations indicate that fluid seepage is not active in the current seafloor, and it is not necessarily observed above the acoustic blanking zones or shallow faults reaching the seafloor. In the Sakata Knoll, the tectonically formed reverse fault and gas-bearing permeable layers play more important roles in fluid migration from depth to the summit area of the knoll compared to acoustic blanking and shallow faults. The depression at the summit area of the Sakata Knoll was formed by the dissociation of a shallow GH at around the last glacial maximum. Limited fluid seepage is currently witnessed within and around the depression and it is less extensive than that in the past. Such knolls, with tectonically formed large faults and an anticline are abundant in the area and they can be good reservoirs for shallow GH along the eastern margin of the Sea of Japan.
Soil texture is a stronger driver of the maize rhizosphere microbiome and extracellular enzyme activities than soil depth or the presence of root hairs
Authors: Yim Bunlong , Ibrahim Zeeshan , Rüger Lioba , Ganther Minh , Maccario Lorrie , Sørensen Søren J. , Heintz-Buschart Anna , Tarkka Mika T. , Vetterlein Doris , Bonkowski Michael , Blagodatskaya Evgenia , Smalla Kornelia 
Published: August 2022

Abstract
Aims
Different drivers are known to shape rhizosphere microbiome assembly. How soil texture (Texture) and presence or lack of root hairs (Root Hair) of plants affect the rhizosphere microbiome assembly and soil potential extracellular enzyme activities (EEA) at defined rooting depth (Depth) is still a knowledge gap. We investigated effects of these drivers on microbial assembly in rhizosphere and on potential EEA in root-affected soil of maize.

Methods
Samples were taken from three depths of root hair defective mutant rth3 and wild-type WT maize planted on loam and sand in soil columns after 22 days. Rhizosphere bacterial, archaeal, fungal and cercozoan communities were analysed by sequencing of 16S rRNA gene, ITS and 18S rRNA gene fragments. Soil potential EEA of ß-glucosidase, acid phosphatase and chitinase were estimated using fluorogenic substrates.

Results
The bacterial, archaeal and cercozoan alpha- and beta-diversities were significantly and strongly altered by Texture, followed by Depth and Root Hair. Texture and Depth had a small impact on fungal assembly, and only fungal beta-diversity was significantly affected. Significant impacts by Depth and Root Hair on beta-diversity and relative abundances at taxonomic levels of bacteria, archaea, fungi and cercozoa were dependent on Texture. Likewise, the patterns of potential EEA followed the trends of microbial communities, and the potential EEA correlated with the relative abundances of several taxa.

Conclusions
Texture was the strongest driver of rhizosphere microbiome and of soil potential EEA, followed by Depth and Root Hair, similarly to findings in maize root architecture and plant gene expression studies.
Significant liver fibrosis is a predictor of poor health-related quality of life in people living with HIV
Authors: Michel Maurice , Wahl Alisha , Anders Malena , Alqahtani Saleh A. , Kremer Wolfgang M. , Galle Peter R. , Labenz Christian , Grimm Daniel , Sprinzl Martin , Schattenberg Jörn M. 
Published: August 2022

Abstract
Purpose
Liver-related comorbidities can impair the health-related quality of life (HRQL) in people living with human immunodeficiency virus (HIV) (PLWH). However, the role of hepatic steatosis and significant fibrosis in PLWH remains incompletely characterized. Therefore, the aim of this study was to explore the association of hepatic steatosis and significant fibrosis on the HRQL using the medical outcomes study HIV health survey (MOS-HIV) in PLWH.

Methods
A total of 222 PLWH were included in the final analysis of this cohort study. Metabolic comorbidities, socioeconomic factors, and HIV-related parameters were assessed. Hepatic steatosis and fibrosis were measured using vibration-controlled transient elastography (VCTE). The MOS-HIV survey, containing two summary scores (physical health summary (PHS) and mental health summary (MHS)) and ten domains, was used to assess the HRQL. Clinical predictors were identified using multivariable linear regression models.

Results
The majority of this cohort was male, and the median age was 52 years, with a high prevalence of hepatic steatosis (n = 81, 36.5%). Significant fibrosis was present in 7.7% (n = 17). The mean PHS and MHS scores were 52.7 ± 9.5 and 51.4 ± 10.5, respectively. The lowest scores were in the general health perception (GHP) and energy/fatigue (EF) domains. A high BMI and waist circumference were associated with a poor PHS score. Lower education, unemployment, arterial hypertension, and significant fibrosis remained independent predictors of an impaired HRQL.

Conclusion
Metabolic comorbidities, significant fibrosis, and a lower socioeconomic status may negatively affect the HRQL in PLWH. Considering the negative impact of significant fibrosis on the outcome, counseling and preventive measures according to current guidelines are recommended in this subgroup of PLWH.
Differences in NPI strategies against COVID-19
Authors: Redlin Margarete 
Published: August 2022

AbstractNon-pharmaceutical interventions are an effective strategy to prevent and control COVID-19 transmission in the community. However, the timing and stringency to which these measures have been implemented varied between countries and regions. The differences in stringency can only to a limited extent be explained by the number of infections and the prevailing vaccination strategies. Our study aims to shed more light on the lockdown strategies and to identify the determinants underlying the differences between countries on regional, economic, institutional, and political level. Based on daily panel data for 173 countries and the period from January 2020 to October 2021 we find significant regional differences in lockdown strategies. Further, more prosperous countries implemented milder restrictions but responded more quickly, while poorer countries introduced more stringent measures but had a longer response time. Finally, democratic regimes and stronger manifested institutions alleviated and slowed down the introduction of lockdown measures.
The SHERLOC Calibration Target on the Mars 2020 Perseverance Rover: Design, Operations, Outreach, and Future Human Exploration Functions
Authors: Fries Marc D. , Lee Carina , Bhartia Rohit , Razzell Hollis Joseph , Beegle Luther W. , Uckert Kyle , Graff Trevor G. , Abbey William , Bailey Zachary , Berger Eve L. , Burton Aaron S. , Callaway Michael J. , Cardarelli Emily L. , Davis Kristine N. , DeFlores Lauren , Edgett Kenneth S. , Fox Allison C. , Garrison Daniel H. , Haney Nikole C. , Harrington Roger S. , Jakubek Ryan S. , Kennedy Megan R. , Hickman-Lewis Keyron , McCubbin Francis M. , Miller Ed , Monacelli Brian , Pollock Randy , Rhodes Richard , Siljeström Sandra , Sharma Sunanda , Smith Caroline L. , Steele Andrew , Sylvia Margarite , Tran Vinh D. , Weiner Ryan H. , Yanchilina Anastasia G. , Aileen Yingst R. 
Published: August 2022

AbstractThe Scanning Habitable Environments with Raman and Luminescence for Organics and Chemicals (SHERLOC) is a robotic arm-mounted instrument onboard NASA’s Perseverance rover. SHERLOC combines imaging via two cameras with both Raman and fluorescence spectroscopy to investigate geological materials at the rover’s Jezero crater field site. SHERLOC requires in situ calibration to monitor the health and performance of the instrument. These calibration data are critically important to ensure the veracity of data interpretation, especially considering the extreme martian environmental conditions where the instrument operates. The SHERLOC Calibration Target (SCT) is located at the front of the rover and is exposed to the same atmospheric conditions as the instrument. The SCT includes 10 individual targets designed to meet all instrument calibration requirements. An additional calibration target is mounted inside the instrument’s dust cover. The targets include polymers, rock, synthetic material, and optical pattern targets. Their primary function is calibration of parameters within the SHERLOC instrument so that the data can be interpreted correctly. The SCT was also designed to take advantage of opportunities for supplemental science investigations and includes targets intended for public engagement. The exposure of materials to martian atmospheric conditions allows for opportunistic science on extravehicular suit (i.e., “spacesuit”) materials. These samples will be used in an extended study to produce direct measurements of the expected service lifetimes of these materials on the martian surface, thus helping NASA facilitate human exploration of the planet. Other targets include a martian meteorite and the first geocache target to reside on another planet, both of which increase the outreach and potential of the mission to foster interest in, and enthusiasm for, planetary exploration. During the first 200 sols (martian days) of operation on Mars, the SCT has been analyzed three times and has proven to be vital in the calibration of the instrument and in assisting the SHERLOC team with interpretation of in situ data.
Pro-Diversity Beliefs and the Diverse Person’s Burden
Authors: Steel Daniel , Paier Karoline 
Published: August 2022

AbstractPro-diversity beliefs hold that greater diversity leads to better results in academia, business, politics and a variety of other contexts. This paper explores the possibility that pro-diversity beliefs can generate unfair expectations that marginalized people produce distinctive bonuses, a phenomenon we refer to as the “diverse person’s burden”. We suggest that a normic conception of diversity, according to which non-diversity entails social privilege, together with empirical research on psychological entitlement suggests an explanation of how the diverse person’s burden can arise in many social settings. We also suggest structural and institutional remedies to address the diverse person’s burden, as well as an individual virtue we label positional awareness.