bluuebunny/crossref_metadata_2025_split huggingface dataset:
Role of age, gender and ethnicity in the association between visceral adiposity index and non-alcoholic fatty liver disease among US adults (NHANES 2003–2018): cross-sectional study
Authors: Li Qianwen , Wang Ling , Wu Jian , Wang Jing , Wang Yanjie , Zeng Xin 
Published: March 2022

ObjectivesThe association between visceral adiposity index (VAI) and the prevalence of non-alcoholic fatty liver disease (NAFLD) has not been fully determined. Here, we aimed to explore the association between VAI and NAFLD in the general US population, and further investigate whether the association involves population differences.DesignCross-sectional population-based study.SettingThe National Health and Nutrition Examination Survey (2003–2018).ParticipantsA total of 7522 participants aged 20 years or older who have complete information for NAFLD assessment test were included in this study.Primary and secondary outcome measuresNAFLD was assessed by the modified fatty liver index for the US population (USFLI) using a cut-off point of 30. Correlation between VAI and NAFLD prediction scores was calculated using the partial correlation analysis. Logistic regression models were further used to estimate ORs and 95% CIs.ResultsInsulin resistance (IR), inflammation and waist circumference-adjusted partial correlation analysis indicated that VAI scores were positively correlated with USFLI (r=0.404 for men, and r=0.395 for women; p<0.001). In a comparison of the highest versus the lowest quartiles of VAI, multivariable logistic regression analysis demonstrated a positive association between VAI and NAFLD (OR (95% CI)=1.97 (1.12 to 3.47) for men, OR (95% CI)=4.03 (1.98 to 8.20) for women). The stratified analyses revealed that the positive association involves age/gender-specific and ethnic differences. As for the impact of metabolic disorders, our results revealed that the association was independent of IR and diabetes, but it would be confounded by other metabolic disorders. However, no significant association was found between VAI and hepatic fibrosis.ConclusionVAI is positively associated with the prevalence of NAFLD, but not hepatic fibrosis among US adults, and the association involves age/gender-specific and ethnic differences. The results reported here have important public health implications in NAFLD screening in the future.
Development of the Homeless Health Access to Care Tool to identify health-related vulnerability among people experiencing homelessness: Delphi study, Australia
Authors: Currie Jane , Grech Elizabeth , Longbottom Erin , Yee Jasmine , Hastings Ruth , Aitkenhead Amy , Larkin Matthew , Jones Lee , Cason Amy , Obrecht Karin 
Published: March 2022

ObjectivesIn this paper, we report the development of the Homeless Health Access to Care Tool. This tool aims to improve the gap in assessing health need and capacity to access healthcare of people experiencing homelessness. Tools exist that prioritise people experiencing homelessness for housing, but none specifically designed to prioritise for healthcare, or that are succinct enough to be easily implemented to emergency department or primary healthcare settings.Design and settingThe Homeless Health Access to Care Tool has been adapted from an existing tool, the Vulnerability Index Service Prioritisation Decision Assistance Tool through a five-step process: (1) domain identification, (2) literature review, (3) analysis of hospital admission data, (4) expert judges, and (5) Delphi study.ParticipantsThe tool was adapted and developed by homeless health clinicians, academics and people with lived experience of homelessness. The Delphi study (n=9) comprised emergency department and homeless health clinicians.ResultsConsensus was gained on all but one item, five new items were added, and wording changes were made to six items based on expert feedback. Participants perceived the tool would take between 5 to 11 min to complete, the number of items were appropriate, and the majority agreed it would facilitate the assessment of health needs and capacity to access healthcare.ConclusionRobust development of the Homeless Health Access to Care Tool through the Delphi is the first phase of its development. The Homeless Health Access to Care Tool offers an opportunity to assess both health need and capacity to access healthcare with the aim to improve access to healthcare for people experiencing homelessness. This tool will facilitate standardised data collection to inform service design and data linkage regarding access to healthcare of people experiencing homelessness. The next stages of testing include construct validity, feasibility, usability and inter-rater reliability, and pilot implementation.
Habitat preferences of adult Canada Jays (Perisoreus canadensis) during the post-breeding period in Algonquin Provincial Park, Ontario, Canada
Authors: Fuirst Matthew , McLeod Joschka , Norris D. Ryan 
Published: March 2022

Habitat preferences in animals are often examined during the breeding period when individuals are easier to observe. However, habitat use may change once young become independent and if resource availability shifts with seasonality. While Canada Jays ( Perisoreus canadensis (Linnaeus, 1766)) in Algonquin Provincial Park, Ontario, Canada, have been studied for several decades, there is no information on habitat use outside of the fall and late-winter nesting period, where they primarily used conifer forests. Using radio telemetry and resource selection functions comparing used versus available habitats, we estimated home-range size and habitat preferences of 12 adult Canada Jays ( n = 334 locations) in the spring and summer. Mean (±SD) home-range size from minimum convex polygons was 84 (±48 ha) and ranged from 35 to 201 ha. Canada Jays strongly preferred forest–wetland edges, showed a weak preference for coniferous forests, a corresponding weak avoidance of shade-tolerant hardwood forests, and used mixed forest and wetlands in proportion to their availability. Our results suggest that, while adult Canada Jays use multiple types of habitat during the post-breeding period, they also key into forest–wetland edges, likely to take advantage of emergent prey while remaining near forested areas to maximize protection from predators.
A method to remove lower order contributions in multi-particle femtoscopic correlation functions
Authors: Del Grande Raffaele , Šerkšnytė Laura , Fabbietti Laura , Mantovani Sarti Valentina , Mihaylov Dimitar 
Published: March 2022

AbstractIn recent years the femtoscopy technique has been used by the ALICE Collaboration in small colliding systems at the LHC to investigate the strong-interaction of hadron pairs in the low-energy regime. The extension of this technique to the study of many-body correlations aims to deliver in the next years the first experimental measurements of the genuine many-hadron interactions, provided that the contributions due to the lower order terms are properly accounted for. In this paper we present a method that allows to determine the residual lower order contributions to the three-body correlation functions, based on the cumulant decomposition approach and on kinematic transformations. A procedure to simulate genuine three-body correlations in three-baryon correlation functions is also developed. A qualitative study of the produced correlation signal is performed by varying the strength of the adopted three-body interaction model and comparisons with the expectations for the lower order contributions to the correlation function are shown. The method can be also applied to evaluate the combinatorial background in the two-body correlation functions, providing an improved statistical accuracy with respect to the standard techniques. The example of the contribution by the pK$$^+$$

+

K$$^-$$

-

channel to the recently measured p$$\upphi $$
ϕ
correlation is discussed.
PowerMorph: QoS-Aware Server Power Reshaping for Data Center Regulation Service
Authors: Jahanshahi Ali , Yu Nanpeng , Wong Daniel 
Published: March 2022

Adoption of renewable energy in power grids introduces stability challenges in regulating the operation frequency of the electricity grid. Thus, electrical grid operators call for provisioning of frequency regulation services from end-user customers, such as data centers, to help balance the power grid’s stability by dynamically adjusting their energy consumption based on the power grid’s need. As renewable energy adoption grows, the average reward price of frequency regulation services has become much higher than that of the electricity cost. Therefore, there is a great cost incentive for data centers to provide frequency regulation service.

Many existing techniques modulating data center power result in significant performance slowdown or provide a low amount of frequency regulation provision. We present
PowerMorph
, a tight QoS-aware data center power-reshaping framework, which enables commodity servers to provide practical frequency regulation service. The key behind
PowerMorph
is using “complementary workload” as an additional knob to modulate server power, which provides high provision capacity while satisfying tight QoS constraints of latency-critical workloads. We achieve up to 58% improvement to TCO under common conditions, and in certain cases can even completely eliminate the data center electricity bill and provide a net profit.
Adoptive Transfer of Anti-Nucleolin T Cells Combined with PD-L1 Inhibition against Triple-Negative Breast Cancer
Authors: Thongchot Suyanee , Jirapongwattana Niphat , Luangwattananun Piriya , Chiraphapphaiboon Wannasiri , Chuangchot Nisa , Sa-nguanraksa Doonyapat , O-Charoenrat Pornchai , Thuwajit Peti , Yenchitsomanus Pa-thai , Thuwajit Chanitra 
Published: March 2022

Abstract

Dendritic cell (DC)–based T-cell activation is an alternative immunotherapy in breast cancer. The anti-programmed death ligand 1 (PD-L1) can enhance T-cell function. Nucleolin (NCL) is overexpressed in triple-negative breast cancer (TNBC). The regulation of PD-L1 expression through autophagy and the anti–PD-L1 peptide to help sensitize T cells for NCL-positive TNBC cell killing has not been evaluated. Results showed the worst clinical outcome in patients with high NCL and PD-L1. Self-differentiated myeloid-derived antigen-presenting cells reactive against tumors presenting NCL or SmartDCs-NCL producing GM-CSF and IL-4, could activate NCL-specific T cells. SmartDCs-NCL plus recombinant human ribosomal protein substrate 3 (RPS3) successfully induced maturation and activation of DCs characterized by the reduction of CD14 and the induction of CD11c, CD40, CD80, CD83, CD86, and HLA-DR. Interestingly, SmartDCs-NCL plus RPS3 in combination with anti–PD-L1 peptide revealed significant killing activity of the effector NCL-specific T cells against NCLHigh/PD-L1High MDA-MB-231 and NCLHigh/PD-L1High HCC70 TNBC cells at the effector: a target ratio of 5:1 in 2-D and 10:1 in the 3-D culture system; and increments of IFNγ by the ELISpot assay. No killing effect was revealed in MCF-10A normal mammary cells. Mechanistically, NCL-specific T-cell–mediated TNBC cell killing was through both apoptotic and autophagic pathways. Induction of autophagy by curcumin, an autophagic stimulator, inhibited the expression of PD-L1 and enhanced cytolytic activity of NCL-specific T cells. These findings provide the potential clinical approaches targeting NCLHigh/PD-L1High TNBC cells with NCL-specific T cells in combination with a PD-L1 inhibitor or autophagic stimulator.
Pericardial Involvement in Patients Hospitalized With COVID‐19: Prevalence, Associates, and Clinical Implications
Authors: Ghantous Eihab , Szekely Yishay , Lichter Yael , Levi Erez , Taieb Philippe , Banai Ariel , Sapir Orly , Granot Yoav , Lupu Lior , Hochstadt Aviram , Merdler Ilan , Borohovitz Ariel , Sadon Sapir , Ingbir Merav , Laufer‐Perl Michal , Banai Shmuel , Topilsky Yan 
Published: March 2022

Background
The scope of pericardial involvement in COVID‐19 infection is unknown. We aimed to evaluate the prevalence, associates, and clinical impact of pericardial involvement in hospitalized patients with COVID‐19.

Methods and Results

Consecutive patients with COVID‐19 underwent clinical and echocardiographic examination, irrespective of clinical indication, within 48 hours as part of a prospective predefined protocol. Protocol included clinical symptoms and signs suggestive of pericarditis, calculation of modified early warning score, ECG and echocardiographic assessment for pericardial effusion, left and right ventricular systolic and diastolic function, and hemodynamics. We identified predictors of mortality and assessed the adjunctive value of pericardial effusion on top of clinical and echocardiographic parameters. The study included 530 patients. Pericardial effusion was found in 75 (14%), but only 17 patients (3.2%) fulfilled the criteria for acute pericarditis. Pericardial effusion was independently associated with modified early warning score, brain natriuretic peptide, and right ventricular function. It was associated with excess mortality (hazard ratio [HR], 2.44;
P
=0.0005) in nonadjusted analysis. In multivariate analysis adjusted for modified early warning score and echocardiographic and hemodynamic parameters, it was marginally associated with mortality (HR, 1.86;
P
=0.06) and improvement in the model fit (
P
=0.07). Combined assessment for pericardial effusion with modified early warning score, left ventricular ejection fraction, and tricuspid annular plane systolic excursion was an independent predictor of outcome (HR, 1.86;
P
=0.02) and improved model fit (
P
=0.02).

Conclusions
In hospitalized patients with COVID‐19, pericardial effusion is prevalent, but rarely attributable to acute pericarditis. It is associated with myocardial dysfunction and mortality. A limited echocardiographic examination, including left ventricular ejection fraction, tricuspid annular plane systolic excursion, and assessment for pericardial effusion, can contribute to outcome prediction.
Evidence of Motor Skill Learning in Acute Stroke Patients Without Lesions to the Thalamus and Internal Capsule
Authors: Riga Audrey , Gathy Estelle , Ghinet Marisa , De Laet Chloë , Bihin Benoît , Regnier Maxime , Leeuwerck Maria , De Coene Béatrice , Dricot Laurence , Herman Benoît , Edwards Martin G. , Vandermeeren Yves 
Published: March 2022

Background:
It is currently unknown whether motor skill learning (MSkL) with the paretic upper limb is possible during the acute phase after stroke and whether lesion localization impacts MSkL. Here, we investigated MSkL in acute (1–7 days post) stroke patients compared with healthy individuals (HIs) and in relation to voxel-based lesion symptom mapping.

Methods:
Twenty patients with acute stroke and 35 HIs were trained over 3 consecutive days on a neurorehabilitation robot measuring speed, accuracy, and movement smoothness variables. Patients used their paretic upper limb and HI used their nondominant upper limb on an MSkL task involving a speed/accuracy trade-off. Generalization was evaluated on day 3. All patients underwent a 3-dimensional magnetic resonance imaging used for VSLM.

Results:
Most patients achieved MSkL demonstrated by day-to-day retention and generalization of the newly learned skill on day 3. When comparing raw speed/accuracy trade-off values, HI achieved larger MSkL than patients. However, relative speed/accuracy trade-off values showed no significant differences in MSkL between patients and HI on day 3. In patients, MSkL progression correlated with acute motor and cognitive impairments. The voxel-based lesion symptom mapping showed that acute vascular damage to the thalamus or the posterior limb of the internal capsule reduced MSkL.

Conclusions:
Despite worse motor performance for acute stroke patients compared with HI, most patients were able to achieve MSkL with their paretic upper limb. Damage to the thalamus and posterior limb of the internal capsule, however, reduced MSkL. These data show that MSkL could be implemented into neurorehabilitation during the acute phase of stroke, particularly for patients without lesions to the thalamus and posterior limb of the internal capsule.

Registration:

URL:
https://www.clinicaltrials.gov
; Unique identifier: NCT01519843.
Predicting Document Coverage for Relation Extraction
Authors: Singhania Sneha , Razniewski Simon , Weikum Gerhard 
Published: March 2022

Abstract
This paper presents a new task of predicting the coverage of a text document for relation extraction (RE): Does the document contain many relational tuples for a given entity? Coverage predictions are useful in selecting the best documents for knowledge base construction with large input corpora. To study this problem, we present a dataset of 31,366 diverse documents for 520 entities. We analyze the correlation of document coverage with features like length, entity mention frequency, Alexa rank, language complexity, and information retrieval scores. Each of these features has only moderate predictive power. We employ methods combining features with statistical models like TF-IDF and language models like BERT. The model combining features and BERT, HERB, achieves an F1 score of up to 46%. We demonstrate the utility of coverage predictions on two use cases: KB construction and claim refutation.
ABNIRML: Analyzing the Behavior of Neural IR Models
Authors: MacAvaney Sean , Feldman Sergey , Goharian Nazli , Downey Doug , Cohan Arman 
Published: March 2022

Abstract
Pretrained contextualized language models such as BERT and T5 have established a new state-of-the-art for ad-hoc search. However, it is not yet well understood why these methods are so effective, what makes some variants more effective than others, and what pitfalls they may have. We present a new comprehensive framework for Analyzing the Behavior of Neural IR ModeLs (ABNIRML), which includes new types of diagnostic probes that allow us to test several characteristics—such as writing styles, factuality, sensitivity to paraphrasing and word order—that are not addressed by previous techniques. To demonstrate the value of the framework, we conduct an extensive empirical study that yields insights into the factors that contribute to the neural model’s gains, and identify potential unintended biases the models exhibit. Some of our results confirm conventional wisdom, for example, that recent neural ranking models rely less on exact term overlap with the query, and instead leverage richer linguistic information, evidenced by their higher sensitivity to word and sentence order. Other results are more surprising, such as that some models (e.g., T5 and ColBERT) are biased towards factually correct (rather than simply relevant) texts. Further, some characteristics vary even for the same base language model, and other characteristics can appear due to random variations during model training.1
Impacts of Assimilating Future Clear-Air Radial Velocity Observations from Phased Array Radar on Convection Initiation Forecasts: An Observing System Simulation Experiment Study
Authors: Huang Yongjie , Wang Xuguang , Mahre Andrew , Yu Tian-You , Bodine David 
Published: March 2022

Abstract
Phased-array radar (PAR) technology can potentially provide high-quality clear-air radial velocity observations at a high spatiotemporal resolution, usually ∼1 min or less. These observations are hypothesized to partially fill the gaps in current operational observing systems with relatively coarse-resolution surface mesonet observations and the lack of high-resolution upper-air observations especially in planetary boundary layer. In this study, observing system simulation experiments are conducted to investigate the potential value of assimilating PAR observations of clear-air radial velocity to improve the forecast of convection initiation (CI) along small-scale boundary layer convergence zones. Both surface-based and elevated CIs driven by meso-γ-scale boundary layer convergence are tested. An ensemble Kalman filter method is used to assimilate synthetic surface mesonet observations and PAR clear-air radial velocity observations. Results show that assimilating only surface mesonet observations fails to predict either surface-based or elevated CI processes. Assimilating clear-air radial velocity observations in addition to surface mesonet observations can capture both surface-based and elevated CI processes successfully. Such an improvement benefits from the better analyses of boundary layer convergence, resulting from the assimilation of clear-air radial velocity observations. Additional improvement is observed with more frequent assimilation. Assimilating clear-air radial velocity observations only from the one radar results in analysis biases of cross-beam winds and CI location biases, and assimilating additional radial velocity observations from the second radar at an appropriate position can reduce these biases while sacrificing the CI timing. These results suggest the potential of assimilating clear-air radial velocity observations from PAR to improve the forecast of CI processes along boundary layer convergence zones.
Examination of the Relationship Among Balance, Physical Activity, and Anthropometry in Athletes With Visual Impairments
Authors: Esatbeyoglu Ferhat , Kin-İsler Ayse , Peyré-Tartaruga Leonardo A. 
Published: March 2022

Introduction Although it is well documented in the literature that individuals with visual impairments have low physical activity levels and impaired body compositions and postural controls compared with peers without vision loss, the relation between these parameters in athletes with visual impairments is unknown. Research Question Here, we (i) evaluated the physical activity levels, balance measures, and anthropometry parameters in athletes with visual impairments and peers without vision loss controls and (ii) compared these variables between the two groups. Methods We designed a retrospective observational study with parallel groups conducted on 33 athletes with visual impairments and 33 sighted controls matched for age and sex. We also utilized a questionnaire about physical activity levels and assessed static balance for 4 conditions (eyes-open firm surface, eyes-closed firm surface, eyes-open foam surface, and eyes-closed foam surface) and anthropometry. Results In athletes with visual impairments, body composition, body mass index (BMI), physical activity level, and static balance parameters revealed no significant relationship ( p > .05), whereas eyes-open and -closed firm and foam surface conditions were positively related with physical activity at a moderate level ( r = 0.39, r = 0.38, p < .05, respectively). Moderate-intensity and high-intensity physical activity was positively associated with fat-free mass ( r = 0.82, r = 0.68, p < .01, respectively) and negatively related with body mass, fat %, and fat mass ( r = −0.67, r = −0.52, r = −0.72, r = −0.66, r = −0.50, r = −0.50, p < .01, respectively). Athletes with visual impairments presented lower static balance than the sighted controls for three conditions, while eyes-closed foam surface scores were similar in both groups. The physical activity levels were higher for athletes with visual impairments ( p < .05). However, we found no difference in the body composition and BMI between two groups ( p > .05). Discussion Sports participation from individuals with visual impairments is related to higher physical activity levels, resulting in better anthropometric profile. The balance control was not related to physical activity levels in athletes with visual impairments.