bluuebunny/crossref_metadata_2025_split huggingface dataset:
Asteroseismology of evolved stars with EGGMiMoSA
Authors: Farnir M. , Pinçon C. , Dupret M.-A. , Noels A. , Scuflaire R. 
Published: July 2021

Context.In the context of an ever increasing amount of highly precise data, thanks to the numerous space-borne missions, came a revolution in stellar physics. This data allowed asteroseismology to thrive and improve our general knowledge of stars. Important results were obtained about giant stars owing to the presence of ‘mixed modes’ in their oscillation spectra. These modes carry information about the whole stellar interior, enabling the comprehensive characterisation of their structure.Aims.The current study is part of a series of papers that provide a technique to coherently and robustly analyse the mixed-modes frequency spectra and characterise the stellar structure of stars on both the subgiant branch and red-giant branch (RGB). In this paper we aim at defining seismic indicators, relevant of the stellar structure, as well as studying their evolution along a grid of models.Methods.The proposed method, EGGMiMoSA, relies on the asymptotic description of mixed modes. It defines appropriate initial guesses for the parameters of the asymptotic formulation and uses a Levenberg-Marquardt minimisation scheme in order to adjust the complex mixed-modes pattern in a fast and robust way.Results.We are able to follow the evolution of the mixed-modes parameters along a grid of models from the subgiant phase to the RGB bump, therefore extending previous works. We show the impact of the stellar mass and composition on the evolution of these parameters. We observe that the evolution of the period spacing Δπ1, pressure offsetϵp, gravity offsetϵg, and coupling factorqas a function of the large frequency separation Δνis little affected by the chemical composition and that it follows two different regimes depending on the evolutionary stage. On the subgiant branch, the stellar models display a moderate core-envelope density contrast. Therefore, the evolution of Δπ1,ϵp,ϵg, andqsignificantly changes with the stellar mass. Furthermore, we demonstrate that, for a given metallicity and with proper measurements of the period spacing Δπ1and large frequency separation Δν, we may unambiguously constrain the stellar mass, radius and age of a subgiant star. Conversely, as the star reaches the red-giant branch, the core-envelope density contrast becomes very large. Consequently, the evolution ofϵp,ϵgandqas a function of Δνbecomes independent of the stellar mass. This is also true for Δπ1in stars with masses ≲1.8 M⊙because of core electron degeneracy. This degeneracy in Δπ1is lifted for higher masses, again allowing for a precise measurement of the stellar age. Overall, our computations qualitatively agree with previous observed and theoretical studies.Conclusions.The method provides automated measurements of the adjusted parameters along a grid of models and opens the way to the precise seismic characterisation of both subgiants and red giants. In the following papers of the series, we will explore further refinements to the technique as well as its application to observed stars.
Use of Artificial Intelligence in Nononcologic Interventional Radiology: Current State and Future Directions
Authors: Malpani Rohil , Petty Christopher W. , Bhatt Neha , Staib Lawrence H. , Chapiro Julius 
Published: July 2021

AbstractThe future of radiology is disproportionately linked to the applications of artificial intelligence (AI). Recent exponential advancements in AI are already beginning to augment the clinical practice of radiology. Driven by a paucity of review articles in the area, this article aims to discuss applications of AI in nononcologic IR across procedural planning, execution, and follow-up along with a discussion on the future directions of the field. Applications in vascular imaging, radiomics, touchless software interactions, robotics, natural language processing, postprocedural outcome prediction, device navigation, and image acquisition are included. Familiarity with AI study analysis will help open the current “black box” of AI research and help bridge the gap between the research laboratory and clinical practice.
Novel Biomarker-Targeted Therapies for Metastatic Colorectal Cancer
Authors: Barot Shimoli V. , Kamath Suneel D. 
Published: July 2021

AbstractColorectal cancer (CRC) is one of the most common and fatal malignancies worldwide. Screening, surgery, and adjuvant therapy have proved efficacious in improving outcomes for early-stage disease. Despite decades of research efforts, cytotoxic chemotherapy has been the mainstay of treatment for metastatic disease and the prognosis remains unsatisfactory. Compelling evidence suggests that a fundamental reason for the limited success is the cancer's inherent dynamic heterogeneity, which is more predominant in late-stage disease. As our understanding of this molecular blueprint of CRC has evolved, a new avenue of targeted therapies has emerged. Beginning with epidermal growth factor receptor and vascular endothelial growth factor inhibitors, numerous targeted agents have been developed and investigated in large, multicenter, prospective clinical trials. Testing for mutations in RAS (KRAS and NRAS), BRAF, and HER2 and for mismatch repair/microsatellite instability and NTRK fusions has now been incorporated in the management guidelines, with additional biomarkers rapidly surfacing. As we enter the latest paradigm of precision oncology in CRC, this article will provide an overview of the different molecular subsets of CRC and the current biomarker-targeted therapies in the management of metastatic disease.
The Prevalence of Clinical Characteristics of Polycystic Ovary Syndrome among Indigenous Women: A Systematic Search and Review of the Literature
Authors: Gilbert Emily , Avery Jodie , Bartlett Rebeccah , Campbell Sandra , Joham Anju , Rumbold Alice , Boyle Jacqueline 
Published: July 2021

AbstractPolycystic ovary syndrome (PCOS) is the most common endocrine disorder among reproductive-aged women; however, to date there has been no synthesis of the burden of PCOS specifically among indigenous women. We aimed to systematically identify and collate studies reporting prevalence and clinical features of PCOS among indigenous women worldwide. We performed a comprehensive search of six databases (Ovid MEDLINE, MEDLINE In Process & Other Non-Indexed Citations, EMBASE, EBM reviews, CINAHL, and SCOPUS) supplemented by gray literature searches and the screening of reference lists. A narrative synthesis was conducted. Fourteen studies met inclusion criteria; however, one was excluded as it assessed only children and adolescents younger than 15 years, with limited clinical relevance. Studies examined indigenous women from Australia, Sri Lanka, New Zealand, and the United States. Prevalence of PCOS was reported in only four studies and ranged from 3.05% for women in Sri Lanka to 26% for women in Australia. All included studies reported on at least one clinical feature of PCOS. Of the studies that reported on a comparison group from the same country, there was evidence of more severe features in indigenous women from New Zealand and the United States. The limited evidence available warrants further investigation of the burden of PCOS in indigenous women to build the knowledge base for effective and culturally relevant management of this condition.
Prognostic Significance of Percentage Necrosis in Clear Cell Renal Cell Carcinoma
Authors: Syed Madiha , Loya Asif , Hameed Maryam , Akhtar Noreen , Mushtaq Sajid , Hassan Usman 
Published: July 2021

Abstract

Objectives
The consensus conference of the International Society of Urological Pathology (ISUP), held in 2012, made recommendations regarding prognostic parameters of renal tumors. There was a strong consensus that tumor morphotype, pathologic tumor stage, and tumor grade are prognostic indicators of poor outcome. It was also agreed upon that prognostic significance of tumor necrosis is in evolution, and both microscopic and macroscopic tumor necrosis should be documented in percentages. The aim of our study was to explore the impact of tumor necrosis on metastasis-free survival in clear cell renal carcinomas (ccRCCs) in Pakistani patients.

Methods
We retrieved 318 consecutive in-house cases of ccRCC resections from 2014 to 2020 through hospital archives. Histologic slide review was done for assessment of tumor necrosis, tumor stage, and World Health Organization/ISUP grade. The follow-up data to assess metastasis-free survival were available in hospital archives.

Results
In multivariable analysis performed by logistic regression model, tumor necrosis was an independent poor prognostic indicator (P = .0001): group 1 (reference group), 0% necrosis; group 2, 1% to 10% necrosis (adjusted odds ratio [AOR], 8.71; 95% confidence interval [CI], 3.62-20.98); and group 3, more than 10% necrosis (AOR, 9.48; 95% CI, 3.99-22.725).

Conclusions
Tumor necrosis is an independent predictor of poor outcome in ccRCCs.
Awareness, Knowledge, and Attitudes Toward Screening and Treatment of Masked Hypertension in Primary Care
Authors: Boyd Rebekah , Carter Eileen , Moise Nathalie , Alcántara Carmela , Valadares Thais , Anstey D Edmund , Kronish Ian M 
Published: July 2021

Abstract

Background
Hypertension guidelines recommend screening and treatment for masked hypertension (MHT). Yet, few primary care providers (PCPs) screen for MHT, and little is known about PCP awareness, knowledge, and attitudes toward MHT.

Methods
Three focus groups involving 30 PCPs from 3 medical centers in New York were conducted. Focus group transcripts were analyzed using thematic content analysis.

Results
Awareness of MHT varied, and only 2 providers had diagnosed MHT. There was also low knowledge about the prevalence and impact of MHT. While some PCPs were receptive to MHT screening after learning about its significance, others viewed the current evidence as insufficient to change practice. Providers were discomforted by labeling patients with nonelevated office blood pressure (BP) as hypertensive and reluctant to add another screening test to their workload without stronger evidence. There was distrust in the accuracy of home BP monitoring to screen for MHT. There was more confidence in ambulatory BP monitoring (ABPM) for MHT screening, but ABPM was viewed as largely inaccessible. There was broad agreement with lifestyle changes for MHT. There were concerns that antihypertensive medication lacked evidence from randomized trials and could induce harmful side effects.

Conclusions
Limited PCP knowledge about MHT, concerns about the accuracy and accessibility of screening tests, overloaded PCPs, and insufficient evidence were major barriers to screening and treatment for MHT. Prior to broad uptake by PCPs, randomized trials demonstrating the net benefits of MHT screening and treatment may be needed, along with increased dissemination of knowledge about MHT and improved access to ABPM.
Colour hallucination: In defence of externalist representationalism
Authors: Waczek Elisabeth Lucia , Barz Wolfgang 
Published: July 2021

AbstractIn a recent paper, Gow (2017) raised a new and interesting problem for externalist representationalism, the conclusion of which is that its proponents are unable to provide an acceptable account of the phenomenal character of colour hallucination. In contrast to Gow, we do not believe that the problem is particularly severe – indeed, that there is any problem at all. Thus our aim is to defend externalist representationalism against the problem raised by Gow. To this end, we will first reconstruct her reasoning, and then show that it poses no real challenge to externalist representationalism.
The Nuts and Bolts of a Successful Non-Narcotic Perioperative Enhanced Recovery After Surgery Protocol
Authors: Schultz Kelly P , Kaplan Jordan , Rappaport Norman H 
Published: July 2021

Abstract

Background
Enhanced recovery after surgery (ERAS) protocols are widely utilized approaches to perioperative care that advocate preoperative counseling, multimodal perioperative medication management, and early postoperative mobilization to improve post-surgical patient outcomes and satisfaction.

Objectives
The authors aimed to elucidate the mechanism by which each medication utilized in the senior author’s ERAS protocol acts, determine the efficacy of this protocol in postoperative pain management, and reveal other factors that may play a role in patients’ degree of postoperative pain.

Methods
A literature review was performed on the medications utilized in the senior author’s ERAS protocol. Evidence from the author’s previous study on the efficacy of this regimen and anecdotal evidence regarding the psychological component of pain was also compiled.

Results
There is evidence that an ERAS protocol is as effective if not more effective than regimens involving opioid medications in management of postoperative pain. These medications act synergistically to block perception of pain by multiple pathways, while minimizing adverse effects that may be associated with high doses of a single medication and are affordable for both the patient and the surgeon.

Conclusions
ERAS protocols effectively manage postoperative pain while avoiding the adverse effects associated with opioid medications. Although an emphasis has often been placed on the medications involved in various protocols and avoidance of opioid medications, appropriate counseling on patients’ expectations concerning postoperative “pain” or discomfort and a systemic shift in the approach to perioperative pain are perhaps the most important components to holistic non-narcotic postoperative care.
Management Foundations for Navigating Ecological Transformation by Resisting, Accepting, or Directing Social–Ecological Change
Authors: Magness Dawn R , Hoang Linh , Belote R Travis , Brennan Jean , Carr Wylie , Stuart Chapin F , Clifford Katherine , Morrison Wendy , Morton John M , Sofaer Helen R 
Published: July 2021

AbstractDespite striking global change, management to ensure healthy landscapes and sustained natural resources has tended to set objectives on the basis of the historical range of variability in stationary ecosystems. Many social–ecological systems are moving into novel conditions that can result in ecological transformation. We present four foundations to enable a transition to future-oriented conservation and management that increases capacity to manage change. The foundations are to identify plausible social–ecological trajectories, to apply upstream and deliberate engagement and decision-making with stakeholders, to formulate management pathways to desired futures, and to consider a portfolio approach to manage risk and account for multiple preferences across space and time. We use the Kenai National Wildlife Refuge in Alaska as a case study to illustrate how the four foundations address common land management challenges for navigating transformation and deciding when, where, and how to resist, accept, or direct social–ecological change.
Where and How Are Original and Valuable Ideas Generated? tDCS of the Generation-Related Posterior Temporal Lobe and the Executive Control-Related Prefrontal Cortex
Authors: Huang Furong , Song Yan , Jiang Yan , Zhao Qingbai , Luo Jing 
Published: July 2021

Abstract
Creativity is generally defined as the ability to generate innovative thoughts that are both original and valuable. Previous studies have suggested that the temporal lobe, related to memory extraction and construction, is responsible for generating creative ideas and that the executive system supports the generation of creative ideas. However, the causal relationships between these structures and the novelty index as well as the appropriateness index of generated ideas have not been revealed. It is still largely unknown where and how original and valuable ideas are generated. In this study, the transcranial direct current stimulation technique was used to selectively manipulate the activity of the generation-related right temporoparietal junction (TPJ) (experiment 1) and the executive control-related left dorsolateral prefrontal cortex (DLPFC) (experiment 2). Then, both the novelty and appropriateness indexes of generated ideas were analyzed during insight problem-solving. The results showed that anodal stimulation of the right TPJ increased both the novelty and appropriateness indexes of creative ideas, whereas anodal stimulation of the left DLPFC increased the novelty index but not the appropriateness index of creative ideas. These findings suggest that the posterior temporal lobe takes both the novelty and appropriateness attributes into account to generate ideas, while the executive control system can effectively regulate the novelty attribute of generated ideas but ineffectively addresses the inappropriateness attribute. The current study indicates complementary mechanisms in the process of generating original and valuable ideas.
Progressive Stabilization of Brain Network Dynamics during Childhood and Adolescence
Authors: Lei Tianyuan , Liao Xuhong , Chen Xiaodan , Zhao Tengda , Xu Yuehua , Xia Mingrui , Zhang Jiaying , Xia Yunman , Sun Xiaochen , Wei Yongbin , Men Weiwei , Wang Yanpei , Hu Mingming , Zhao Gai , Du Bin , Peng Siya , Chen Menglu , Wu Qian , Tan Shuping , Gao Jia-Hong , Qin Shaozheng , Tao Sha , Dong Qi , He Yong 
Published: July 2021

Abstract
Functional brain networks require dynamic reconfiguration to support flexible cognitive function. However, the developmental principles shaping brain network dynamics remain poorly understood. Here, we report the longitudinal development of large-scale brain network dynamics during childhood and adolescence, and its connection with gene expression profiles. Using a multilayer network model, we show the temporally varying modular architecture of child brain networks, with higher network switching primarily in the association cortex and lower switching in the primary regions. This topographical profile exhibits progressive maturation, which manifests as reduced modular dynamics, particularly in the transmodal (e.g., default-mode and frontoparietal) and sensorimotor regions. These developmental refinements mediate age-related enhancements of global network segregation and are linked with the expression profiles of genes associated with the enrichment of ion transport and nucleobase-containing compound transport. These results highlight a progressive stabilization of brain dynamics, which expand our understanding of the neural mechanisms that underlie cognitive development.
Multisensory-Guided Associative Learning Enhances Multisensory Representation in Primary Auditory Cortex
Authors: Han Xiao , Xu Jinghong , Chang Song , Keniston Les , Yu Liping 
Published: July 2021

Abstract
Sensory cortices, classically considered to represent modality-specific sensory information, are also found to engage in multisensory processing. However, how sensory processing in sensory cortices is cross-modally modulated remains an open question. Specifically, we understand little of cross-modal representation in sensory cortices in perceptual tasks and how perceptual learning modifies this process. Here, we recorded neural responses in primary auditory cortex (A1) both while freely moving rats discriminated stimuli in Go/No-Go tasks and when anesthetized. Our data show that cross-modal representation in auditory cortices varies with task contexts. In the task of an audiovisual cue being the target associating with water reward, a significantly higher proportion of auditory neurons showed a visually evoked response. The vast majority of auditory neurons, if processing auditory–visual interactions, exhibit significant multisensory enhancement. However, when the rats performed tasks with unisensory cues being the target, cross-modal inhibition, rather than enhancement, predominated. In addition, multisensory associational learning appeared to leave a trace of plastic change in A1, as a larger proportion of A1 neurons showed multisensory enhancement in anesthesia. These findings indicate that multisensory processing in principle sensory cortices is not static, and having cross-modal interaction in the task requirement can substantially enhance multisensory processing in sensory cortices.
CloneRetriever: An Automated Algorithm to Identify Clonal B and T Cell Gene Rearrangements by Next-Generation Sequencing for the Diagnosis of Lymphoid Malignancies
Authors: Halper-Stromberg Eitan , McCall Chad M , Haley Lisa M , Lin Ming-Tseh , Vogt Samantha , Gocke Christopher D , Eshleman James R , Stevens Wendy , Martinson Neil A , Epeldegui Marta , Holdhoff Matthias , Bettegowda Chetan , Glantz Michael J , Ambinder Richard F , Xian Rena R 
Published: July 2021

AbstractBackgroundClonal immunoglobulin and T-cell receptor rearrangements serve as tumor-specific markers that have become mainstays of the diagnosis and monitoring of lymphoid malignancy. Next-generation sequencing (NGS) techniques targeting these loci have been successfully applied to lymphoblastic leukemia and multiple myeloma for minimal residual disease detection. However, adoption of NGS for primary diagnosis remains limited.MethodsWe addressed the bioinformatics challenges associated with immune cell sequencing and clone detection by designing a novel web tool, CloneRetriever (CR), which uses machine-learning principles to generate clone classification schemes that are customizable, and can be applied to large datasets. CR has 2 applications—a “validation” mode to derive a clonality classifier, and a “live” mode to screen for clones by applying a validated and/or customized classifier. In this study, CR-generated multiple classifiers using 2 datasets comprising 106 annotated patient samples. A custom classifier was then applied to 36 unannotated samples.ResultsThe optimal classifier for clonality required clonal dominance ≥4.5× above background, read representation ≥8% of all reads, and technical replicate agreement. Depending on the dataset and analysis step, the optimal algorithm yielded sensitivities of 81%–90%, specificities of 97%–100%, areas under the curve of 91%–94%, positive predictive values of 92–100%, and negative predictive values of 88%–98%. Customization of the algorithms yielded 95%–100% concordance with gold-standard clonality determination, including rescue of indeterminate samples. Application to a set of unknowns showed concordance rates of 83%–96%.ConclusionsCR is an out-of-the-box ready and user-friendly software designed to identify clonal rearrangements in large NGS datasets for the diagnosis of lymphoid malignancies.