bluuebunny/crossref_metadata_2025_split huggingface dataset:
Duality and supersymmetry constraints on the weak gravity conjecture
Authors: Loges Gregory J. , Noumi Toshifumi , Shiu Gary 
Published: November 2020

Abstract
Positivity bounds coming from consistency of UV scattering amplitudes are not always sufficient to prove the weak gravity conjecture for theories beyond Einstein-Maxwell. Additional ingredients about the UV may be necessary to exclude those regions of parameter space which are naïvely in conflict with the predictions of the weak gravity conjecture. In this paper we explore the consequences of imposing additional symmetries inherited from the UV theory on higher-derivative operators for Einstein-Maxwell-dilaton-axion theory. Using black hole thermodynamics, for a preserved SL(2, ℝ) symmetry we find that the weak gravity conjecture then does follow from positivity bounds. For a preserved O(d, d; ℝ) symmetry we find a simple condition on the two Wilson coefficients which ensures the positivity of corrections to the charge-to-mass ratio and that follows from the null energy condition alone. We find that imposing supersymmetry on top of either of these symmetries gives corrections which vanish identically, as expected for BPS states.
Prognostic value of tumoral and peritumoral magnetic resonance parameters in osteosarcoma patients for monitoring chemotherapy response
Authors: Hao Yuewen , An Rui , Xue Yingsen , Li Fan , Wang Hong , Zheng Jianmin , Fan Linni , Liu Jixin , Fan Hongbin , Yin Hong 
Published: November 2020

Abstract
Objectives
To evaluate parameters of diffusion-weighted imaging (DWI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) as early imaging indicators of tumor histologic response to pre-operative neoadjuvant chemotherapy and as probable prognostic factors for event-free survival (EFS) and overall survival in osteosarcoma (OS) in both tumoral and peritumoral areas.

Methods
Thirty-four OS patients who received three courses of neoadjuvant chemotherapy followed by surgery during 2014–2018 were enrolled in this study. All patients underwent baseline and post-chemotherapy DWI and DCE-MRI. Lesion region was defined as the tumoral area and peritumoral area. Parameters of apparent diffusion coefficient, capacity transfer constant (Ktrans), elimination rate constant, extravascular extracellular space volume ratio (Ve), and initial area under the curve as well as corresponding differences between pre- and post-chemotherapy in lesion regions were evaluated. Receiver operating characteristic analysis was used to evaluate the diagnostic performance of these parameters. The associations of all parameters with tumor histologic response, EFS, and overall survival were also calculated.

Results
In the tumor area, moderate evidence was found that post-Ktrans was lower in responders as compared with that in poor responders (p = 0.04, false discovery rate [FDR] corrected), and ΔKtrans exhibited significant between-groups differences (p = 0.04, Bonferroni corrected; or p = 0.006, FDR corrected). Weak evidence for the between-groups difference was found in the Ve in the peritumoral area (p = 0.025 before treatment and p = 0.021 after treatment, uncorrected). Furthermore, lower post-Ktrans in the tumoral area and lower pre-Ve in the peritumoral area were significant prognostic indicators for longer EFS (p = 0.002, p = 0.026) and overall survival (p = 0.003, p = 0.023).

Conclusions
In OS, DWI and DCE-MRI parameters in both tumoral and peritumoral areas can reflect the chemotherapy response and prognosticate EFS and overall survival.

Key Points
• Peritumoral MRI parameters can reflect the chemotherapy response in OS patients.
• Peritumoral MRI parameters can predict EFS and overall survival in OS patients.
• MRI parameters may be predictive factors for evaluating chemotherapy efficacy and EFS.
Organisationsethik
Authors: Schuchter Patrick , Krobath Thomas , Heller Andreas , Schmidt Thomas 
Published: November 2020

ZusammenfassungOrganisationen spielen in modernen Gesellschaften eine zentrale Rolle. Der Beitrag geht davon aus, dass in den mittlerweile etablierten Formen von Ethik und Ethikberatung in Einrichtungen des Gesundheitssystems eine angemessene Reflexion des Organisationsbezugs oft ausbleibt bzw. eine besondere Herausforderung darstellt. Wir konzipieren deshalb eine „prozedurale Organisationsethik“, die sich kritisch mit der organisationalen Passung der Prozesse ethischer Reflexion auseinandersetzt. Daraus lassen sich als Anregung für Theorie und Praxis von ethischen Prozessen praktische Schlussfolgerungen ableiten. Sie betreffen (a) die Orte der Differenzsetzung für die Frage nach dem Guten; (b) die ethischen Hintergrundtheorien und (c) die Frage nach der organisatorischen Verknüpfung der Reflexionssettings.
The COVID-19 Psychological Wellbeing Study: Understanding the Longitudinal Psychosocial Impact of the COVID-19 Pandemic in the UK; a Methodological Overview Paper
Authors: Armour Cherie , McGlinchey Emily , Butter Sarah , McAloney-Kocaman Kareena , McPherson Kerri E. 
Published: November 2020

AbstractThe COVID-19 Psychological Wellbeing Study was designed and implemented as a rapid survey of the psychosocial impacts of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), known as COVID-19 in residents across the United Kingdom. This study utilised a longitudinal design to collect online survey based data. The aim of this paper was to describe (1) the rationale behind the study and the corresponding selection of constructs to be assessed; (2) the study design and methodology; (3) the resultant sociodemographic characteristics of the full sample; (4) how the baseline survey data compares to the UK adult population (using data from the Census) on a variety of sociodemographic variables; (5) the ongoing efforts for weekly and monthly longitudinal assessments of the baseline cohort; and (6) outline future research directions. We believe the study is in a unique position to make a significant contribution to the growing body of literature to help understand the psychological impact of this pandemic and inform future clinical and research directions that the UK will implement in response to COVID-19.
Does team diversity really matter? The connection between networks, access to financial resources, and performance in the context of university spin-offs
Authors: Moog Petra , Soost Christian 
Published: November 2020

AbstractUniversity spin-offs (USOs) are an important driver for innovation, along with economic and social development. Hence, understanding which factors help them perform successfully is crucial, especially regarding their peculiarities in a scientific environment. This study focuses on essential factors such as team composition and diversity in USOs in the biotech sector in 64 founding teams in Switzerland and Germany. By identifying the team composition, and going beyond the usual team characteristics, along with checking in parallel for network and financing effects, the paper adds empirical evidence to the ongoing debate if and how team diversity in USOs affects the performance of this special group of newly founded firms. We test our hypotheses with the partial least squares method (PLS). Our results from the mediation model show how the diversity of teams is related to networks and financial resources and affects the performance. In addition, our study reveals the direct and indirect effects of team diversity on success in USOs. This way we contribute to the ongoing discussion on performance investigating the sources of team effects more in detail.
AI-based smart prediction of clinical disease using random forest classifier and Naive Bayes
Authors: Jackins V. , Vimal S. , Kaliappan M. , Lee Mi Young 
Published: November 2020

AbstractHealthcare practices include collecting all kinds of patient data which would help the doctor correctly diagnose the health condition of the patient. These data could be simple symptoms observed by the subject, initial diagnosis by a physician or a detailed test result from a laboratory. Thus, these data are only utilized for analysis by a doctor who then ascertains the disease using his/her personal medical expertise. The artificial intelligence has been used with Naive Bayes classification and random forest classification algorithm to classify many disease datasets like diabetes, heart disease, and cancer to check whether the patient is affected by that disease or not. A performance analysis of the disease data for both algorithms is calculated and compared. The results of the simulations show the effectiveness of the classification techniques on a dataset, as well as the nature and complexity of the dataset used.
CircPlant: An Integrated Tool for circRNA Detection and Functional Prediction in Plants
Authors: Zhang Peijing , Liu Yongjing , Chen Hongjun , Meng Xianwen , Xue Jitong , Chen Kunsong , Chen Ming 
Published: November 2020

Abstract
The recent discovery of circular RNAs (circRNAs) and characterization of their functional roles have opened a new avenue for understanding the biology of genomes. circRNAs have been implicated to play important roles in a variety of biological processes, but their precise functions remain largely elusive. Currently, a few approaches are available for novel circRNA prediction, but almost all these methods are intended for animal genomes. Considering that the major differences between the organization of plant and mammal genomes cannot be neglected, a plant-specific method is needed to enhance the validity of plant circRNA identification. In this study, we present CircPlant, an integrated tool for the exploration of plant circRNAs, potentially acting as competing endogenous RNAs (ceRNAs), and their potential functions. With the incorporation of several unique plant-specific criteria, CircPlant can accurately detect plant circRNAs from high-throughput RNA-seq data. Based on comparison tests on simulated and real RNA-seq datasets from Arabidopsis thaliana and Oryza sativa, we show that CircPlant outperforms all evaluated competing tools in both accuracy and efficiency. CircPlant is freely available at http://bis.zju.edu.cn/circplant.
Paleo-Polyploidization in Lycophytes
Authors: Wang Jinpeng , Yu Jigao , Sun Pengchuan , Li Chao , Song Xiaoming , Lei Tianyu , Li Yuxian , Yuan Jiaqing , Sun Sangrong , Ding Hongling , Duan Xueqian , Shen Shaoqi , Shen Yanshuang , Li Jing , Meng Fanbo , Xie Yangqin , Wang Jianyu , Hou Yue , Zhang Jin , Zhang Xianchun , Li Xiu-Qing , Paterson Andrew H. , Wang Xiyin 
Published: November 2020

Abstract
Lycophytes and seed plants constitute the typical vascular plants. Lycophytes have been thought to have no paleo-polyploidization although the event is known to be critical for the fast expansion of seed plants. Here, genomic analyses including the homologous gene dot plot analysis detected multiple paleo-polyploidization events, with one occurring approximately 13–15 million years ago (MYA) and another about 125–142 MYA, during the evolution of the genome of Selaginella moellendorffii, a model lycophyte. In addition, comparative analysis of reconstructed ancestral genomes of lycophytes and angiosperms suggested that lycophytes were affected by more paleo-polyploidization events than seed plants. Results from the present genomic analyses indicate that paleo-polyploidization has contributed to the successful establishment of both lineages—lycophytes and seed plants—of vascular plants.
Composite reconstruction of arm, axilla and lateral chest wall defect following resection of extensive marjolin neoplasm with an antero-lateral thigh chimeric free flap: Case report and review of literature
Authors: Agarwal Amit , Pandey Neeraj , Mishra Abhijat , Mahendru Vihor 
Published: November 2020

ABSTRACT

Background:
Marjolin's neoplasm is the most common secondary malignancy over long standing unstable burn-scar or non-healing chronic wound/ulcer. It is quite common over chest wall. Treatment of choice is radical resection and reconstruction even in advance cases to relieve patient from severe pain of cancer. Chest wall reconstruction imparts numerous challenges and extensive defects mandate the use of large micro-vascular free flaps. Selecting the most appropriate flap is important for better outcome.

Method:
A 45-year-old male presented with a large marjolin's neoplasm of the right lateral chest wall, developed over longstanding post electric-burn unstable scar and axillary contracture. After resection of tumour and release of contracture, resultant defect was 38 cm x 30 cm on right antero lateral and posterior aspect of chest wall and 23 cm x 10 cm defect on medial aspect of right arm and axilla with exposed brachial plexus and vessels, scapula and ribs. Reconstruction was done using left antero-lateral thigh chimeric free flap including rectus-femoris, vastus-lateralis and large fascio-cutaneous skin paddle in a single-stage procedure. The flap pedicle was anastomosed to right subclavian artery and vein. Postoperative period was uneventful with no significant deformity of the donor site.

Conclusion:
This case demonstrates one of the important options available for large chest wall reconstruction and shows the versatility of the Anterolateral thigh free flap as Chimeric flap. This chimeric flap ensured adequate skin cover, good bulk, provided an excellent operative position, produced little loss of donor site function and provided an acceptable cosmetic result.

Level of evidence:
Level 5, Case report + review of literature.

Highlights:
A GAMMA MOVING AVERAGE PROCESS FOR MODELLING DEPENDENCE ACROSS DEVELOPMENT YEARS IN RUN-OFF TRIANGLES
Authors: Nieto-Barajas Luis E. , Targino Rodrigo S. 
Published: November 2020

AbstractWe propose a stochastic model for claims reserving that captures dependence along development years within a single triangle. This dependence is based on a gamma process with a moving average form of order$p \ge 0$which is achieved through the use of poisson latent variables. We carry out Bayesian inference on model parameters and borrow strength across several triangles, coming from different lines of businesses or companies, through the use of hierarchical priors. We carry out a simulation study as well as a real data analysis. Results show that reserve estimates, for the real data set studied, are more accurate with our gamma dependence model as compared to the benchmark over-dispersed poisson that assumes independence.
MORTALITY FORECASTING WITH A SPATIALLY PENALIZED SMOOTHED VAR MODEL
Authors: Chang Le , Shi Yanlin 
Published: November 2020

AbstractThis paper investigates a high-dimensional vector-autoregressive (VAR) model in mortality modeling and forecasting. We propose an extension of the sparse VAR (SVAR) model fitted on the log-mortality improvements, which we name “spatially penalized smoothed VAR” (SSVAR). By adaptively penalizing the coefficients based on the distances between ages, SSVAR not only allows a flexible data-driven sparsity structure of the coefficient matrix but simultaneously ensures interpretable coefficients including cohort effects. Moreover, by incorporating the smoothness penalties, divergence in forecast mortality rates of neighboring ages is largely reduced, compared with the existing SVAR model. A novel estimation approach that uses the accelerated proximal gradient algorithm is proposed to solve SSVAR efficiently. Similarly, we propose estimating the precision matrix of the residuals using a spatially penalized graphical Lasso to further study the dependency structure of the residuals. Using the UK and France population data, we demonstrate that the SSVAR model consistently outperforms the famous Lee–Carter, Hyndman–Ullah, and two VAR-type models in forecasting accuracy. Finally, we discuss the extension of the SSVAR model to multi-population mortality forecasting with an illustrative example that demonstrates its superiority in forecasting over existing approaches.
“Flipped Learning” in Disaster Triage: Polarizing Medical Student Attainment?
Authors: Monaghan Anthony Mark , Hudson Jake , Alexopoulos Arion Romanos 
Published: November 2020

Abstract“Flipped learning” has become increasingly popular in medical education as a means of developing independent learning skills in students. The article by Zheng at al. (2020) highlights the potential utility of this approach in disaster triage training. However, the article also highlights to us some concerns regarding how “flipped learning” may favor certain learners over others in the provision of disaster triage education. Specifically, the article demonstrates the necessity for increased preclassroom preparation when a “flipped classroom” model is used, which inevitably privileges those with a higher ability to engage with self-directed learning. Although such a skill is important to develop in medical education, we fear it may lead to polarized student attainment rather than ensuring a maximum number of students achieve the requisite standard required. More research is consequently needed to inform the most efficacious means of facilitating disaster triage training that supports all students sufficiently, while also helping to nurture their independent learning skills.
Reexamining Health-Care Coalitions in Light of COVID-19
Authors: Barnett Daniel J. , Knieser Lauren , Errett Nicole A. , Rosenblum Andrew J. , Seshamani Meena , Kirsch Thomas D. 
Published: November 2020

AbstractThe national response to the coronavirus disease 2019 (COVID-19) pandemic has highlighted critical weaknesses in domestic health care and public health emergency preparedness, despite nearly 2 decades of federal funding for multiple programs designed to encourage cross-cutting collaboration in emergency response. Health-care coalitions (HCCs), which are funded through the Hospital Preparedness Program, were first piloted in 2007 and have been continuously funded nationwide since 2012 to support broad collaborations across public health, emergency management, emergency medical services, and the emergency response arms of the health-care system within a geographical area. This commentary provides a SWOT (strengths, weaknesses, opportunities, and threats) analysis to summarize the strengths, weaknesses, opportunities, and threats related to the current HCC model against the backdrop of COVID-19. We close with concrete recommendations for better leveraging the HCC model for improved health-care system readiness. These include better evaluating the role of HCCs and their members (including the responsibility of the HCC to better communicate and align with other sectors), reconsidering the existing framework for HCC administration, increasing incentives for meaningful community participation in HCC preparedness, and supporting next-generation development of health-care preparedness systems for future pandemics.
Cover–biomass relationships of an invasive annual grass, Bromus rubens, in the Mojave Desert
Authors: Abella Scott R. 
Published: November 2020

AbstractEstimates of plant biomass are helpful for many applications in invasive plant science and management, but measuring biomass can be time-consuming, costly, or impractical if destructive sampling is inappropriate. The objective of this study was to assess feasibility of developing regression equations using a fast, nondestructive measure (cover) to estimate aboveground biomass for red brome (Bromus rubens L.), a widespread nonnative annual grass in the Mojave Desert, USA. At three study sites, including one measured for three consecutive years, B. rubens cover spanned 0.1% to 85% and aboveground biomass 1 to 321 g m−2. In log10-transformed linear regressions, B. rubens cover accounted for 68% to 96% of the variance in B. rubens biomass among sites, with all coefficients of determination significant at P < 0.05. For every doubling of percent cover, biomass was predicted to increase by 78%, 83%, and 144% among the three sites. At the site measured for three consecutive years, which ranged in rainfall from 65% to 159% of the long-term average, regression slopes each year differed from other years. Regression results among sites were insensitive to using cover classes (10 classes encompassing 0% to 100% cover) compared with simulated random distribution of integer cover within classes. Biomass of B. rubens was amenable to estimation in the field using cover, and such estimates may have applications for modeling invasive annual plant fuel loads and ecosystem carbon storage.
Southern Song Freelance Painters (1127–1279): Commerce Between the Imperial Court and the Lin'an Art Market
Authors: Pang Huiping 
Published: November 2020

AbstractThis article makes visible the complex social position of a previously overlooked class of Southern Song artists: freelance painters, who worked for the imperial court on a temporary, as-needed basis, but who have been mischaracterized as permanent, official “court painters” by post-Song historiographers. Through an analysis of the careers of freelance painters such as Chen Qingbo and Li Dong, I posit a hybrid class of adjunct-artists, who made their livings by operating fan shops in the capital's streets but at times also contracted with the court. How did the emperor exploit contingent artists while simultaneously allowing market agents (guilds and brokers) to protect their benefits? How did the freelance painters increase their profits by developing entrepreneurial relations with the court and by competing with other freelancers in a fierce market? By exploring how the Southern Song court mobilized non-court painters through consensual contracts, this article differentiates freelancers from court painters, thereby dismantling long-held myths about the Southern Song painting academy.
Data Practices in Australian Early Childhood Programs for Children With Additional Needs
Authors: Kishida Yuriko , Carter Mark , Kemp Coral 
Published: November 2020

AbstractAlthough the use of data is important for informing inclusive practice, research into Australian early childhood educators’ data practice is limited. Types of data collected in early childhood settings and the use of these data were investigated. Surveys completed by 105 early childhood educators across Australia indicated that anecdotal written records, photos, and children’s work samples were the predominant data collection strategies used for both children with and without additional needs. More educators reported that they collected counted or timed behaviour data for children with additional needs than for those without additional needs. One third of educators did not indicate that they collect this type of data. The majority of educators indicated that they value the use of data in their practice, reported that they use data for progress monitoring and modification of activities to meet the needs of individuals with additional needs, and perceived that they were confident in using the data collection strategies that they nominated. The data that these Australian early childhood educators used were predominantly qualitative, suggesting that training is needed for educators to collect and utilise both qualitative and quantitative data to assist with instructional decision-making.