bluuebunny/crossref_metadata_2025_split huggingface dataset:
How Do Climate and Catchment Attributes Influence Flood Generating Processes? A Large‐Sample Study for 671 Catchments Across the Contiguous USA
Authors: Stein L. , Clark M. P. , Knoben W. J. M. , Pianosi F. , Woods R. A. 
Published: February 2021

AbstractHydrometeorological flood generating processes (excess rain, short rain, long rain, snowmelt, and rain‐on‐snow) underpin our understanding of flood behavior. Knowledge about flood generating processes improves hydrological models, flood frequency analysis, estimation of climate change impact on floods, etc. Yet, not much is known about how climate and catchment attributes influence the spatial distribution of flood generating processes. This study aims to offer a comprehensive and structured approach to close this knowledge gap. We employ a large sample approach (671 catchments across the contiguous United States) and evaluate how catchment attributes and climate attributes influence the distribution of flood processes. We use two complementary approaches: A statistics‐based approach which compares attribute frequency distributions of different flood processes; and a random forest model in combination with an interpretable machine learning approach (accumulated local effects [ALE]). The ALE method has not been used often in hydrology, and it overcomes a significant obstacle in many statistical methods, the confounding effect of correlated catchment attributes. As expected, we find climate attributes (fraction of snow, aridity, precipitation seasonality, and mean precipitation) to be most influential on flood process distribution. However, the influence of catchment attributes varies both with flood generating process and climate type. We also find flood processes can be predicted for ungauged catchments with relatively high accuracy (R2 between 0.45 and 0.9). The implication of these findings is flood processes should be considered for future climate change impact studies, as the effect of changes in climate on flood characteristics varies between flood processes.
Effect of human umbilical cord-derived mesenchymal stem cells on lung damage in severe COVID-19 patients: a randomized, double-blind, placebo-controlled phase 2 trial
Authors: Shi Lei , Huang Hai , Lu Xuechun , Yan Xiaoyan , Jiang Xiaojing , Xu Ruonan , Wang Siyu , Zhang Chao , Yuan Xin , Xu Zhe , Huang Lei , Fu Jun-Liang , Li Yuanyuan , Zhang Yu , Yao Wei-Qi , Liu Tianyi , Song Jinwen , Sun Liangliang , Yang Fan , Zhang Xin , Zhang Bo , Shi Ming , Meng Fanping , Song Yanning , Yu Yongpei , Wen Jiqiu , Li Qi , Mao Qing , Maeurer Markus , Zumla Alimuddin , Yao Chen , Xie Wei-Fen , Wang Fu-Sheng 
Published: February 2021

AbstractTreatment of severe Coronavirus Disease 2019 (COVID-19) is challenging. We performed a phase 2 trial to assess the efficacy and safety of human umbilical cord-mesenchymal stem cells (UC-MSCs) to treat severe COVID-19 patients with lung damage, based on our phase 1 data. In this randomized, double-blind, and placebo-controlled trial, we recruited 101 severe COVID-19 patients with lung damage. They were randomly assigned at a 2:1 ratio to receive either UC-MSCs (4 × 107 cells per infusion) or placebo on day 0, 3, and 6. The primary endpoint was an altered proportion of whole lung lesion volumes from baseline to day 28. Other imaging outcomes, 6-minute walk test (6-MWT), maximum vital capacity, diffusing capacity, and adverse events were recorded and analyzed. In all, 100 COVID-19 patients were finally received either UC-MSCs (n = 65) or placebo (n = 35). UC-MSCs administration exerted numerical improvement in whole lung lesion volume from baseline to day 28 compared with the placebo (the median difference was −13.31%, 95% CI −29.14%, 2.13%, P = 0.080). UC-MSCs significantly reduced the proportions of solid component lesion volume compared with the placebo (median difference: −15.45%; 95% CI −30.82%, −0.39%; P = 0.043). The 6-MWT showed an increased distance in patients treated with UC-MSCs (difference: 27.00 m; 95% CI 0.00, 57.00; P = 0.057). The incidence of adverse events was similar in the two groups. These results suggest that UC-MSCs treatment is a safe and potentially effective therapeutic approach for COVID-19 patients with lung damage. A phase 3 trial is required to evaluate effects on reducing mortality and preventing long-term pulmonary disability. (Funded by The National Key R&D Program of China and others. ClinicalTrials.gov number, NCT04288102.
Jumping over baselines with new methods to predict activation maps from resting-state fMRI
Authors: Lacosse Eric , Scheffler Klaus , Lohmann Gabriele , Martius Georg 
Published: February 2021

AbstractCognitive fMRI research primarily relies on task-averaged responses over many subjects to describe general principles of brain function. Nonetheless, there exists a large variability between subjects that is also reflected in spontaneous brain activity as measured by resting state fMRI (rsfMRI). Leveraging this fact, several recent studies have therefore aimed at predicting task activation from rsfMRI using various machine learning methods within a growing literature on ‘connectome fingerprinting’. In reviewing these results, we found lack of an evaluation against robust baselines that reliably supports a novelty of predictions for this task. On closer examination to reported methods, we found most underperform against trivial baseline model performances based on massive group averaging when whole-cortex prediction is considered. Here we present a modification to published methods that remedies this problem to large extent. Our proposed modification is based on a single-vertex approach that replaces commonly used brain parcellations. We further provide a summary of this model evaluation by characterizing empirical properties of where prediction for this task appears possible, explaining why some predictions largely fail for certain targets. Finally, with these empirical observations we investigate whether individual prediction scores explain individual behavioral differences in a task.
Structured team-oriented program to follow patients after vena cava filter placement: a step forward in improving quality for filter retrieval
Authors: Qanadli Salah D. , Rezaei-Kalantari Kiara , Crivelli Laurence , Doenz Francesco , Jouannic Anne-Marie , Rotzinger David C. 
Published: February 2021

AbstractTo reduce inferior vena cava filter (IVCF) related complications, retrieval is recommended whenever possible. Nevertheless, IVCF retrieval rates remain lower than expected, likely due to insufficient follow-up after placement. We evaluated the value of a structured program designed to follow patients by the interventional radiology team up to 5 months after IVCF placement. We prospectively enrolled 366 consecutive patients (mean age 64 ± 17 years; 201 men and 165 women) who benefited from IVCF between March 2015 and February 2020. The program consisted of advising the patient and clinicians to consider IVCF retrieval as soon as possible (standard workflow) and systematically planning an additional follow-up visit at 5-month. Clinical and technical eligibility, as well as technical success for retrieval (TSR) were evaluated. At 5-months, 38 (10.4%) patients were lost to follow-up, and 47 (12.8%) had died. Among survivors, the overall retrieval rate was 58%. The retrieval rates were 83% and 97% for the clinically eligible and technically eligible patients for retrieval, respectively. The 5-month visit enabled 89 additional retrievals (47.8%) compared to the standard workflow. No significant difference was seen in TSR before and after 5 months (p = 0.95). Improved patient tracking with a dedicated IVCF program results in an effective process to identify suitable patients for retrieval and drastically improves retrieval rates in eligible patients. Involving interventionalists in the process improved IVCF patient management.
TRPV1 feed-forward sensitisation depends on COX2 upregulation in primary sensory neurons
Authors: Li Tianci , Wang Gaoge , Hui Vivian Chin Chin , Saad Daniel , de Sousa Valente Joao , La Montanara Paolo , Nagy Istvan 
Published: February 2021

AbstractIncreased activity and excitability (sensitisation) of a series of molecules including the transient receptor potential ion channel, vanilloid subfamily, member 1 (TRPV1) in pain-sensing (nociceptive) primary sensory neurons are pivotal for developing pathological pain experiences in tissue injuries. TRPV1 sensitisation is induced and maintained by two major mechanisms; post-translational and transcriptional changes in TRPV1 induced by inflammatory mediators produced and accumulated in injured tissues, and TRPV1 activation-induced feed-forward signalling. The latter mechanism includes synthesis of TRPV1 agonists within minutes, and upregulation of various receptors functionally linked to TRPV1 within a few hours, in nociceptive primary sensory neurons. Here, we report that a novel mechanism, which contributes to TRPV1 activation-induced TRPV1-sensitisation within ~ 30 min in at least ~ 30% of TRPV1-expressing cultured murine primary sensory neurons, is mediated through upregulation in cyclooxygenase 2 (COX2) expression and increased synthesis of a series of COX2 products. These findings highlight the importance of feed-forward signalling in sensitisation, and the value of inhibiting COX2 activity to control pain, in nociceptive primary sensory neurons in tissue injuries.
Morphometry of SARS-CoV and SARS-CoV-2 particles in ultrathin plastic sections of infected Vero cell cultures
Authors: Laue Michael , Kauter Anne , Hoffmann Tobias , Möller Lars , Michel Janine , Nitsche Andreas 
Published: February 2021

AbstractSARS-CoV-2 is the causative of the COVID-19 disease, which has spread pandemically around the globe within a few months. It is therefore necessary to collect fundamental information about the disease, its epidemiology and treatment, as well as about the virus itself. While the virus has been identified rapidly, detailed ultrastructural analysis of virus cell biology and architecture is still in its infancy. We therefore studied the virus morphology and morphometry of SARS-CoV-2 in comparison to SARS-CoV as it appears in Vero cell cultures by using conventional thin section electron microscopy and electron tomography. Both virus isolates, SARS-CoV Frankfurt 1 and SARS-CoV-2 Italy-INMI1, were virtually identical at the ultrastructural level and revealed a very similar particle size distribution with a median of about 100 nm without spikes. Maximal spike length of both viruses was 23 nm. The number of spikes per virus particle was about 30% higher in the SARS-CoV than in the SARS-CoV-2 isolate. This result complements a previous qualitative finding, which was related to a lower productivity of SARS-CoV-2 in cell culture in comparison to SARS-CoV.
Role of IgG against N-protein of SARS-CoV2 in COVID19 clinical outcomes
Authors: Batra Mayank , Tian Runxia , Zhang Chongxu , Clarence Emile , Sacher Camila Sofia , Miranda Justin Nestor , De La Fuente Justin Rafa O. , Mathew Megan , Green Desmond , Patel Sayari , Bastidas Maria Virginia Perez , Haddadi Sara , Murthi Mukunthan , Gonzalez Miguel Santiago , Kambali Shweta , Santos Kayo H. M. , Asif Huda , Modarresi Farzaneh , Faghihi Mohammad , Mirsaeidi Mehdi 
Published: February 2021

AbstractThe Nucleocapsid Protein (N Protein) of severe acute respiratory syndrome Coronavirus 2 (SARS-CoV2) is located in the viral core. Immunoglobulin G (IgG) targeting N protein is detectable in the serum of infected patients. The effect of high titers of IgG against N-protein on clinical outcomes of SARS-CoV2 disease has not been described. We studied 400 RT-PCR confirmed SARS-CoV2 patients to determine independent factors associated with poor outcomes, including Medical Intensive Care Unit (MICU) admission, prolonged MICU stay and hospital admissions, and in-hospital mortality. We also measured serum IgG against the N protein and correlated its concentrations with clinical outcomes. We found that several factors, including Charlson comorbidity Index (CCI), high levels of IL6, and presentation with dyspnea were associated with poor clinical outcomes. It was shown that higher CCI and higher IL6 levels were independently associated with in-hospital mortality. Anti-N protein IgG was detected in the serum of 55 (55%) patients at the time of admission. A high concentration of antibodies, defined as signal to cut off ratio (S/Co) > 1.5 (75 percentile of all measurements), was found in 25 (25%) patients. The multivariable logistic regression models showed that between being an African American, higher CCI, lymphocyte counts, and S/Co ratio > 1.5, only S/Co ratio were independently associated with MICU admission and longer length of stay in hospital. This study recommends that titers of IgG targeting N-protein of SARS-CoV2 at admission is a prognostic factor for the clinical course of disease and should be measured in all patients with SARS-CoV2 infection.
Energetics of mesoscale cell turbulence in two-dimensional monolayers
Authors: Lin Shao-Zhen , Zhang Wu-Yang , Bi Dapeng , Li Bo , Feng Xi-Qiao 
Published: February 2021

AbstractInvestigation of energy mechanisms at the collective cell scale is a challenge for understanding various biological processes, such as embryonic development and tumor metastasis. Here we investigate the energetics of self-sustained mesoscale turbulence in confluent two-dimensional (2D) cell monolayers. We find that the kinetic energy and enstrophy of collective cell flows in both epithelial and non-epithelial cell monolayers collapse to a family of probability density functions, which follow the q-Gaussian distribution rather than the Maxwell–Boltzmann distribution. The enstrophy scales linearly with the kinetic energy as the monolayer matures. The energy spectra exhibit a power-decaying law at large wavenumbers, with a scaling exponent markedly different from that in the classical 2D Kolmogorov–Kraichnan turbulence. These energetic features are demonstrated to be common for all cell types on various substrates with a wide range of stiffness. This study provides unique clues to understand active natures of cell population and tissues.
Methodological Considerations for Auditory Training Interventions for Adults With Hearing Loss: A Rapid Review
Authors: Gaeta Laura , Stark Rachel Keiko , Ofili Erika 
Published: February 2021

PurposeThe aim of this study was to evaluate literature on auditory training published since 2013.MethodA rapid review or a streamlined approach to systematically identify and summarize relevant studies was performed. Selected health sciences databases were searched using a search strategy developed with the PICO (population, intervention, comparison, and outcome) framework. Studies eligible for inclusion had older adult participants with hearing loss and utilized technology-based auditory training in laboratory or home settings.ResultsThe study quality of most studies was found to be low to moderate, with concentrations between low and moderate. Major issues were related to study design and reporting, such as the need for blinding and a control group, larger sample sizes, and a follow-up for long-term outcomes of auditory training interventions. Wide variability in training approaches, participant backgrounds (e.g., audiograms, hearing aid use), and outcome measures are also noted.ConclusionsEvidence on the effectiveness of auditory training is mixed. Future research should include high-quality randomized controlled trials with representative populations; follow-up periods to study long-term effects; and exploration of behavioral, electrophysiological, and self-reported outcome measures. Recommendations for study designs and methodologies are also discussed.
A Field-Based Approach to Establish Normative Acoustic Data for Healthy Female Voices
Authors: Pierce Jenny L. , Tanner Kristine , Merrill Ray M. , Shnowske Lauren , Roy Nelson 
Published: February 2021

Purpose
The primary aim of this study was to obtain high-quality acoustic normative data in natural field environments for female voices. A secondary aim was to examine acoustic measurement variability in field environments.

Method
This study employed a within-subject repeated-measures experimental design that included 45 young female adults with normal voices. Participants were stratified by age (18–23, 24–29, and 30–35 years). After initial evaluation and instruction, participants completed voice recordings during seven consecutive days using a standard protocol, including both connected speech and sustained vowels. Thirty-two cepstral-, spectral-, and time-based acoustic measures were acquired using Praat and the Analysis of Dysphonia in Speech and Voice.

Results

Among the 958 total recordings, greater than 90% satisfied inclusion criteria based on protocol compliance, peak clipping, and signal-to-noise ratio. Significant differences were observed for age (
p
< .05). For 19 acoustic measures, values improved significantly as signal-to-noise ratio increased. Cepstral- and spectral-based measures demonstrated less measurement variability as compared with time-based measures.

Conclusions
With adequate training, field audio recordings represent a viable option for clinical voice management. The significant age effects observed in this study support the need for more specific criteria when collecting and applying normative data. Cepstral- and spectral-based measures demonstrated the least measurement variability. This study provides additional evidence for multiparameter acoustic voice measurement, specifically toward ecologically valid sampling in natural environments. Future studies should expand on these findings in other populations with normal and disordered voices.
DAWIS: a detection algorithm with wavelets for intracluster light studies
Authors: Ellien A. , Slezak E. , Martinet N. , Durret F. , Adami C. , Gavazzi R. , Rabaça C. R. , Da Rocha C. , Epitácio Pereira D. N. 
Published: February 2021

Context. Large numbers of deep optical images will be available in the near future, allowing statistically significant studies of low surface brightness structures such as intracluster light (ICL) in galaxy clusters. The detection of these structures requires efficient algorithms dedicated to this task, which traditional methods find difficult to solve.
Aims. We present our new detection algorithm with wavelets for intracluster light studies (DAWIS), which we developed and optimized for the detection of low surface brightness sources in images, in particular (but not limited to) ICL.
Methods. DAWIS follows a multiresolution vision based on wavelet representation to detect sources. It is embedded in an iterative procedure called synthesis-by-analysis approach to restore the unmasked light distribution of these sources with very good quality. The algorithm is built so that sources can be classified based on criteria depending on the analysis goal. We present the case of ICL detection and the measurement of ICL fractions. We test the efficiency of DAWIS on 270 mock images of galaxy clusters with various ICL profiles and compare its efficiency to more traditional ICL detection methods such as the surface brightness threshold method. We also run DAWIS on a real galaxy cluster image, and compare the output to results obtained with previous multiscale analysis algorithms.
Results. We find in simulations that DAWIS is on average able to separate galaxy light from ICL more efficiently, and to detect a greater quantity of ICL flux because of the way sky background noise is treated. We also show that the ICL fraction, a metric used on a regular basis to characterize ICL, is subject to several measurement biases on galaxies and ICL fluxes. In the real galaxy cluster image, DAWIS detects a faint and extended source with an absolute magnitude two orders brighter than previous multiscale methods.
Metastatic Tuberculomas along a Nonfunctioning Ventricular Catheter
Authors: Bhople Laxmikant , Kharosekar H , Bhide Anuj , Velho V 
Published: February 2021

AbstractA unique case of tubercular meningitis, developing shunt complication, is being reported. We present a pediatric patient with disseminated tubercular granulomas along the ventricular catheter of a nonfunctional ventriculoperitoneal shunt.
Organoids for the Study of Liver Cancer
Authors: Wang Haichuan , Calvisi Diego F. , Chen Xin 
Published: February 2021

AbstractLiver cancer is the second most lethal malignancy worldwide. Cell lines and murine models are the most common tools for modeling human liver carcinogenesis. Most recently, organoids with a three-dimensional structure derived from primary tissues or cells have been applied to liver cancer research. Organoids can be generated from induced pluripotent stem cells, embryonic or adult, healthy or diseased tissues. In particular, liver organoids have been widely employed in mechanistic studies aimed at delineating the molecular pathways responsible for hepatocarcinogenesis. The introduction of clustered regularly interspaced palindromic repeats (CRISPR)-associated protein 9 (Cas9) and microengineered miniorganoid technologies into liver organoids for cancer study has significantly accelerated these investigations. Translational advances have been made by utilizing liver tumor organoids for anticancer drug screening, biobanking, omics profiling, and biomarker discovery. This review summarizes the latest advances and the remaining challenges in the use of organoid models for the study of liver cancer.
Patient- and Health-Care-Provider-Reported Outcomes to Consider in Research on Pregnancy-Associated Venous Thromboembolism
Authors: King Alexandria , Leider Haley , Herman Dylan , Malinowski Ann Kinga , D'Souza Rohan 
Published: February 2021

Abstract
Background Venous thromboembolism (VTE) in pregnancy can have numerous adverse impacts on patients and health care systems. Ongoing research aimed at improving maternal and fetal/neonatal outcomes is hampered by the lack of patient perspective in determining which outcomes are considered important to assess the effectiveness of interventions.
Objectives The objective of this study was to elicit outcomes from those who experienced or were at risk for pregnancy-associated VTE (health service users, HSUs) and health care providers (HCPs) involved in their care.
Methods Canadian HSUs and HCPs were recruited using convenience and purposive sampling, respectively. Individual, semistructured interviews aimed specifically at eliciting pregnancy-related outcomes were conducted until data saturation was attained. Interviews were audio-recorded and transcribed verbatim. Written transcripts were de-identified and interpretatively analyzed in duplicate to obtain outcomes related to participant experiences. Outcomes were grouped based on a taxonomy developed for medical research and compared between and across interviews with patients and HCPs, and with those obtained through a systematic review of the published literature.
Results and Conclusion We interviewed 10 HSUs and eight HCPs and elicited 52 outcomes, 21 of which have not been reported in the literature. Although the majority of elicited outcomes were in the clinical/physiological core outcome area, both HSUs and HCPs highlighted the importance of outcomes related to functioning/life impact and general wellbeing of mother and baby. These outcomes representing the perspectives of HSUs and HCPs should be considered while conducting trials on pregnancy-associated VTE.