bluuebunny/crossref_metadata_2025_split huggingface dataset:
Metrics and Algorithms for Locally Fair and Accurate Classifications using Ensembles
Authors: Lässig Nico , Oppold Sarah , Herschel Melanie 
Published: January 2022

AbstractTo obtain accurate predictions of classifiers, model ensembles comprising multiple trained machine learning models are nowadays used. In particular, dynamic model ensembles pick the most accurate model for each query object, by applying the model that performed best on similar data. Dynamic model ensembles may however suffer, similarly to single machine learning models, from bias, which can eventually lead to unfair treatment of certain groups of a general population. To mitigate unfair classification, recent work has thus proposed fair model ensembles, that instead of focusing (solely) on accuracy also optimize global fairness. While such global fairness globally minimizes bias, imbalances may persist in different regions of the data, e.g., caused by some local bias maxima leading to local unfairness.Therefore, we extend our previous work by including a framework that bridges the gap between dynamic model ensembles and fair model ensembles. More precisely, we investigate the problem of devising locally fair and accurate dynamic model ensembles, which ultimately optimize for equal opportunity of similar subjects. We propose a general framework to perform this task and present several algorithms implementing the framework components. In this paper we also present a runtime-efficient framework adaptation that keeps the quality of the results on a similar level. Furthermore, new fairness metrics are presented as well as detailed informations about necessary data preparations.Our evaluation of the framework implementations and metrics shows that our approach outperforms the state-of-the art for different types and degrees of bias present in training data in terms of both local and global fairness, while reaching comparable accuracy.
UEFA’S financial fair play regulations: a good example of best practice governance by a sporting body?
Authors: Dunbar Neil , Middleton Thomas 
Published: January 2022

AbstractThe Union of European Football Associations (UEFA) is the body that governs European football. In 2010 it introduced its Financial Fair Play (FFP) Regulations with the main aim of bringing financial stability to European football. This article examines UEFA’s FFP Regulations from good governance and ‘best practice’ perspectives. It finds that the setting-up, implementation and monitoring of the FFP Regulations by UEFA generally adhere to ‘best practice’ principles. However, recent cases in the Court of Arbitration for Sport have revealed several areas where changes to the regulations would be appropriate. In 2021 UEFA made some changes to its Procedural rules governing its Club Financial Control Body, which address some of the outstanding issues but there are still a number of areas where changes would be beneficial as these would provide greater clarity and transparency to its operation and enforcement and thereby promote more timely and cost-effective regulation.
Ultrasound shear wave elastography imaging of common carotid arteries in patients with Spontaneous Coronary Artery Dissection (SCAD)
Authors: Al-mutairi Fahad F. , Al-hussaini Abtehal , Marsh Anne-Marie , Samani Nilesh , McCann Gerry , Adlam David , Chung Emma M. L. , Ramnarine Kumar V. 
Published: January 2022

Abstract
Background
Shear wave elastography (SWE) is emerging as a valuable clinical tool for a variety of conditions. The aim of this pilot study was to assess the potential of SWE imaging of the common carotid arteries (CCA) in patients with spontaneous coronary artery dissection (SCAD), a rare but potentially life-threatening condition, hypothesized to be linked to changes in vessel wall elasticity.

Methods
Ultrasound shear wave elastography (SWE) estimates of artery wall elasticity were obtained from the left and right CCAs of 89 confirmed SCAD patients and 38 non-dissection controls. SWE images obtained over multiple cardiac cycles were analysed by a blinded observer to estimate elasticity in the form of a Young’s Modulus (YM) value, across regions of interest (ROI) located within the anterior and posterior CCA walls.

Results
YM estimates ranged from 17 to 133 kPa in SCAD patients compared to 34 to 87 kPa in non-dissection controls. The mean YM of 55 [standard deviation (SD): 21] kPa in SCAD patients was not significantly different to the mean of 57 [SD: 12] kPa in controls, p = 0.32. The difference between groups was 2 kPa [95% Confidence Interval − 11, 4].

Conclusions
SWE imaging of CCAs in SCAD patients is feasible although the clinical benefit is limited by relatively high variability of YM values which may have contributed to our finding of no significant difference between SCAD patients and non-dissection controls.
Four New Horsemen of an Apocalypse? Solar Flares, Super-volcanoes, Pandemics, and Artificial Intelligence
Authors: Noy Ilan , Uher Tomáš 
Published: January 2022

AbstractIf economists have largely failed to predict or prevent the Global Financial Crisis in 2008, and the more disastrous economic collapse associated with the pandemic of 2020, what else is the profession missing? This is the question that motivates this survey. Specifically, we want to highlight four catastrophic risks – i.e., risks that can potentially result in global catastrophes of a much larger magnitude than either of the 2008 or 2020 events. The four risks we examine here are: Space weather and solar flares, super-volcanic eruptions, high-mortality pandemics, and misaligned artificial intelligence. All four have a non-trivial probability of occurring and all four can lead to a catastrophe, possibly not very different from human extinction. Inevitably, and fortunately, these catastrophic events have not yet occurred, so the literature investigating them is by necessity more speculative and less grounded in empirical observations. Nevertheless, that does not make these risks any less real. This survey is motivated by the belief that economists can and should be thinking about these risks more systematically, so that we can devise the appropriate ways to prevent them or ameliorate their potential impacts.
Orchard management strategies to reduce bruises on apples in India: a review
Authors: Golombek Sabine D. , Blanke Michael M. 
Published: January 2022

AbstractIndia is the fifth-largest apple producer in the world with more than 2 MT per year. Mechanical damage such as bruises of apples (Malus domestica Borkh.), which can result in considerable wastage and decline in quality, is a major problem of the apple industry. On-site investigations of apple orchard management strategies to reduce bruises in Northern India were conducted by the first author in collaboration with the University of Bonn. The apple industry including the farmers is in a continuous process of reducing losses caused by mechanical damage. Apple bruises can develop along the whole value chain. Orchard management offers countermeasures to reduce bruise susceptibility of the apples. At harvest, bruises can be caused by impact and compression forces due to unsuitable practices. This review explains the formation and development of bruises, followed by the causes of mechanical damage and orchard management measures to reduce or avoid bruises, with particular regard to India. The orchard management measures include crop load management, fruit water status and nutrient composition, maturity stage, harvest time later in the day, gentle harvest methods, packing into soft, padded bins and careful transport of the apple bins out of the orchard.
Foreign Acquisition and Credit Risk: Evidence from the U.S. CDS Market
Authors: Yilmaz Umit 
Published: January 2022

AbstractThis article empirically analyzes the effect of foreign block acquisitions on U.S. target firms’ credit risk as measured by their credit default swap (CDS) spreads. Foreign block purchases lead to a greater increase in the target firms’ CDS premia post-acquisition compared to domestic block purchases. This effect is stronger when foreign owners are geographically and culturally more distant, and when they obtain majority control. The findings are consistent with an asymmetric information hypothesis, in which foreign owners are less effective monitors due to information barriers.
Improving Access to Psychological Therapies (IAPT) services outcomes for people with learning disabilities: national data 2012–2013 to 2019–2020
Authors: Dagnan Dave , Rodhouse Caroline , Thwaites Richard , Hatton Chris 
Published: January 2022

AbstractPrimary care interventions for people with common mental health problems in England are primarily delivered through Improving Access to Psychological Therapies (IAPT) services. One of the priorities for IAPT services is to reduce inequalities in access and outcomes for potentially disadvantaged populations. This paper uses national data from the years 2012–2013 to 2019–2020 to present a comparison of service process and therapy outcomes for people with learning disabilities. Annual data for people with learning disabilities, people with other recorded disabilities and people with no recorded disabilities were extracted from a publicly available, national data source. Data are presented graphically with relative risk calculated for each variable and year, and show a broadly similar pattern of waiting time access for people with learning disabilities and people with no disabilities, and a broadly similar proportion of people with learning disabilities and people with no disabilities who finish treatment. However, people with learning disabilities have poorer clinical outcomes than people with no disabilities. We discuss adaptations to IAPT processes and therapy provision that may further support people with learning disabilities’ access to IAPT services.Key learning aims(1)To describe how IAPT services record disabilities, and in particular record whether a person identifies themselves as having a learning disability.1(2)To explore the differences in processes and therapy outcomes for people with learning disabilities compared with people with no disabilities and people with other disabilities.(3)To understand adaptations to IAPT processes and therapies that may make IAPT services more accessible to people with learning disabilities.
Parameter Uncertainty Quantification in an Idealized GCM With a Seasonal Cycle
Authors: Howland Michael F. , Dunbar Oliver R. A. , Schneider Tapio 
Published: January 2022

AbstractClimate models are generally calibrated manually by comparing selected climate statistics, such as the global top‐of‐atmosphere energy balance, to observations. The manual tuning only targets a limited subset of observational data and parameters. Bayesian calibration can estimate climate model parameters and their uncertainty using a larger fraction of the available data and automatically exploring the parameter space more broadly. In Bayesian learning, it is natural to exploit the seasonal cycle, which has large amplitude compared with anthropogenic climate change in many climate statistics. In this study, we develop methods for the calibration and uncertainty quantification (UQ) of model parameters exploiting the seasonal cycle, and we demonstrate a proof‐of‐concept with an idealized general circulation model (GCM). UQ is performed using the calibrate‐emulate‐sample approach, which combines stochastic optimization and machine learning emulation to speed up Bayesian learning. The methods are demonstrated in a perfect‐model setting through the calibration and UQ of a convective parameterization in an idealized GCM with a seasonal cycle. Calibration and UQ based on seasonally averaged climate statistics, compared to annually averaged, reduces the calibration error by up to an order of magnitude and narrows the spread of the non‐Gaussian posterior distributions by factors between two and five, depending on the variables used for UQ. The reduction in the spread of the parameter posterior distribution leads to a reduction in the uncertainty of climate model predictions.
Slip Rates Along the Laohushan Fault and Spatial Variation in Slip Rate Along the Haiyuan Fault Zone
Authors: Liu Jinrui , Ren Zhikun , Zhang Huiping , Li Chuanyou , Zhang Zhuqi , Zheng Wenjun , Li Xuemei , Liu Caicai 
Published: January 2022

AbstractThe spatial pattern of slip rates along the Haiyuan fault zone may reveal deformation process along the northeastern margin of the Tibetan Plateau. By applying the 3D_Fault_Offsets code, we reevaluated the displacements of offset markers displaced by the Laohushan fault, the central segment of the Haiyuan fault zone. We introduced the Bayesian Age Model approach to provide optimum age control for the preserved offset markers. Multiple offsets and ages constrain the late Pleistocene slip rate to 4.4–4.8 mm/yr. The spatial pattern of strike‐slip rates of the Haiyuan fault zone indicates that the Madongshan and Liupanshan could be the main uplifts that absorbed the left‐lateral motion along the Haiyuan fault zone, due to a restraining bend between the Haiyuan and Qishan‐Mazhao fault zones. Furthermore, uniform slip rates along the main segments and slip rates decreasing toward fault tips are widely observed along some intensively studied strike‐slip faults, such as the Altyn Tagh, Kunlun, Death Valley‐Fish Lake Valley, Denali, San Andreas and Alpine faults. The results suggest that the constancy or similarity of the slip rates along the strike is closely related to block rotation and internal deformation, and the slip rates of strike‐slip faults usually change at the fault tip area converting from horizontal to vertical motion. In addition, strike‐slip fault can also take slip off of the main fault and distribute it between multiple active parallel strands.
Endometrial stromal cell ferroptosis promotes angiogenesis in endometriosis
Authors: Li Guojing , Lin Yu , Zhang Yili , Gu Nihao , Yang Bingxin , Shan Shan , Liu Na , Ouyang Jing , Yang Yisai , Sun Feng , Xu Hong 
Published: January 2022

AbstractEndometriosis, a chronic disorder characterised by the presence of endometrial-like tissue outside the uterus, is associated with iron overload and oxidative stress in the lesion. Although it is well established that iron overload can trigger ferroptosis, the results of previous studies on ferroptosis resistance and ferroptosis in endometriotic lesions are paradoxical. Here, we found that some stromal cells of the cyst walls that were in contact with the cyst fluid underwent ferroptosis. Surprisingly, endometrial stromal cell ferroptosis triggered the production of angiogenic, inflammatory and growth cytokines. In particular, angiogenic cytokines, such as vascular endothelial growth factor A (VEGFA) and interleukin 8 (IL8), promoted human umbilical vein endothelial cell (HUVEC) vascular formation in vitro. Moreover, we found that inhibition of p38 mitogen-activated protein kinase/signal transducer and activator of transcription 6 (p38 MAPK/STAT6) signalling represses VEGFA and IL8 expression when endometrial stromal cells undergo ferroptosis. Notably, VEGFA and IL8 showed localised expression and were significantly upregulated in ectopic lesions compared to control and eutopic endometrium samples from patients with endometriosis. Thus, our study reveals that endometrial stromal cell ferroptosis in the ovarian endometrioma may trigger cytokine secretion and promote angiogenesis of adjacent lesions via paracrine actions to drive the development of endometriosis, providing a rationale for translation into clinical practice and developing drugs for endometriosis.
Revealing defective interfaces in perovskite solar cells from highly sensitive sub-bandgap photocurrent spectroscopy using optical cavities
Authors: van Gorkom Bas T. , van der Pol Tom P. A. , Datta Kunal , Wienk Martijn M. , Janssen René A. J. 
Published: January 2022

AbstractDefects in perovskite solar cells are known to affect the performance, but their precise nature, location, and role remain to be firmly established. Here, we present highly sensitive measurements of the sub-bandgap photocurrent to investigate defect states in perovskite solar cells. At least two defect states can be identified in p-i-n perovskite solar cells that employ a polytriarylamine hole transport layer and a fullerene electron transport layer. By comparing devices with opaque and semi-transparent back contacts, we demonstrate the large effect of optical interference on the magnitude and peak position in the sub-bandgap external quantum efficiency (EQE) in perovskite solar cells. Optical simulations reveal that defects localized near the interfaces are responsible for the measured photocurrents. Using optical spacers of different lengths and a mirror on top of a semi-transparent device, allows for the precise manipulation of the optical interference. By comparing experimental and simulated EQE spectra, we show that sub-bandgap defects in p-i-n devices are located near the perovskite-fullerene interface.
Two opposing hippocampus to prefrontal cortex pathways for the control of approach and avoidance behaviour
Authors: Sánchez-Bellot Candela , AlSubaie Rawan , Mishchanchuk Karyna , Wee Ryan W. S. , MacAskill Andrew F. 
Published: January 2022

AbstractThe decision to either approach or avoid a potentially threatening environment is thought to rely upon the coordinated activity of heterogeneous neural populations in the hippocampus and prefrontal cortex (PFC). However, how this circuitry is organized to flexibly promote both approach or avoidance at different times has remained elusive. Here, we show that the hippocampal projection to PFC is composed of two parallel circuits located in the superficial or deep pyramidal layers of the CA1/subiculum border. These circuits have unique upstream and downstream connectivity, and are differentially active during approach and avoidance behaviour. The superficial population is preferentially connected to widespread PFC inhibitory interneurons, and its activation promotes exploration; while the deep circuit is connected to PFC pyramidal neurons and fast spiking interneurons, and its activation promotes avoidance. Together this provides a mechanism for regulation of behaviour during approach avoidance conflict: through two specialized, parallel circuits that allow bidirectional hippocampal control of PFC.
Value of the loss of heterozygosity to BRCA1 variant classification
Authors: Santana dos Santos Elizabeth , Spurdle Amanda B. , Carraro Dirce M. , Briaux Adrien , Southey Melissa , Torrezan Giovana , Petitalot Ambre , Leman Raphael , Lafitte Philippe ,   kConFab Investigators, Meseure Didier , Driouch Keltouma , Side Lucy , Brewer Carole , Beck Sarah , Melville Athalie , Callaway Alison , Revillion Françoise , Folgueira Maria A. A. Koike , Parsons Michael T. , Thorne Heather , Vincent-Salomon Anne , Stoppa-Lyonnet Dominique , Bieche Ivan , Caputo Sandrine M. , Rouleau Etienne 
Published: January 2022

AbstractAt least 10% of the BRCA1/2 tests identify variants of uncertain significance (VUS) while the distinction between pathogenic variants (PV) and benign variants (BV) remains particularly challenging. As a typical tumor suppressor gene, the inactivation of the second wild-type (WT) BRCA1 allele is expected to trigger cancer initiation. Loss of heterozygosity (LOH) of the WT allele is the most frequent mechanism for the BRCA1 biallelic inactivation. To evaluate if LOH can be an effective predictor of BRCA1 variant pathogenicity, we carried out LOH analysis on DNA extracted from 90 breast and seven ovary tumors diagnosed in 27 benign and 55 pathogenic variant carriers. Further analyses were conducted in tumors with PVs yet without loss of the WT allele: BRCA1 promoter hypermethylation, next-generation sequencing (NGS) of BRCA1/2, and BRCAness score. Ninety-seven tumor samples were analyzed from 26 different BRCA1 variants. A relatively stable pattern of LOH (65.4%) of WT allele for PV tumors was observed, while the allelic balance (63%) or loss of variant allele (15%) was generally seen for carriers of BV. LOH data is a useful complementary argument for BRCA1 variant classification.
Automated grading of enlarged perivascular spaces in clinical imaging data of an acute stroke cohort using an interpretable, 3D deep learning framework
Authors: Williamson Brady J. , Khandwala Vivek , Wang David , Maloney Thomas , Sucharew Heidi , Horn Paul , Haverbusch Mary , Alwell Kathleen , Gangatirkar Shantala , Mahammedi Abdelkader , Wang Lily L. , Tomsick Thomas , Gaskill-Shipley Mary , Cornelius Rebecca , Khatri Pooja , Kissela Brett , Vagal Achala 
Published: January 2022

AbstractEnlarged perivascular spaces (EPVS), specifically in stroke patients, has been shown to strongly correlate with other measures of small vessel disease and cognitive impairment at 1 year follow-up. Typical grading of EPVS is often challenging and time consuming and is usually based on a subjective visual rating scale. The purpose of the current study was to develop an interpretable, 3D neural network for grading enlarged perivascular spaces (EPVS) severity at the level of the basal ganglia using clinical-grade imaging in a heterogenous acute stroke cohort, in the context of total cerebral small vessel disease (CSVD) burden. T2-weighted images from a retrospective cohort of 262 acute stroke patients, collected in 2015 from 5 regional medical centers, were used for analyses. Patients were given a label of 0 for none-to-mild EPVS (< 10) and 1 for moderate-to-severe EPVS (≥ 10). A three-dimensional residual network of 152 layers (3D-ResNet-152) was created to predict EPVS severity and 3D gradient class activation mapping (3DGradCAM) was used for visual interpretation of results. Our model achieved an accuracy 0.897 and area-under-the-curve of 0.879 on a hold-out test set of 15% of the total cohort (n = 39). 3DGradCAM showed areas of focus that were in physiologically valid locations, including other prevalent areas for EPVS. These maps also suggested that distribution of class activation values is indicative of the confidence in the model’s decision. Potential clinical implications of our results include: (1) support for feasibility of automated of EPVS scoring using clinical-grade neuroimaging data, potentially alleviating rater subjectivity and improving confidence of visual rating scales, and (2) demonstration that explainable models are critical for clinical translation.
Biperiodic superlattices and transparent states in graphene
Authors: Alvarado-Goytia J. J. , Rodríguez-González R. , Martínez-Orozco J. C. , Rodríguez-Vargas I. 
Published: January 2022

AbstractThe transmission and transport properties of biperiodic graphene superlattices are studied theoretically. Special attention is paid to the so-called transparent states of biperiodic superlattices. A Dirac-like Hamiltonian is used to describe the charge carriers in graphene. The transfer matrix method and the Landauer–Büttiker formalism are implemented to obtain the transmittance and conductance, respectively. Similar results to those reported for Schrödinger electrons are obtained. However, in the case of Dirac electrons the splitted bands and the transparent states associated to the biperiodicity depend strongly on the angle of incidence as well as the character of the charge carriers. In fact, the dynamic of the splitted bands and transparent states is inverted for holes. The origin of transparent states is unveiled by obtaining an analytic expression for the transmittance. It is found that resonant transmission through single and double barriers gives rise to transparent states. Regarding the transport properties, it is possible to identify the fundamental changes caused by the biperiodicity. In particular, it is found a splitting, shifting, and diminishment of the conductance peaks with respect to the case of regular periodicity. This opens the door to corroborate experimentally the fundamental characteristics of biperiodic gated graphene superlattices through transport measurements.