bluuebunny/crossref_metadata_2025_split huggingface dataset:
O-Glycoproteomic analysis of engineered heavily glycosylated fusion proteins using nanoHILIC-MS
Authors: Cavallero Gustavo J. , Wang Yan , Nwosu Charles , Gu Sheng , Meiyappan Muthuraman , Zaia Joseph 
Published: September 2022

AbstractRecombinant protein engineering design affects therapeutic properties including protein efficacy, safety, and immunogenicity. Importantly, glycosylation modulates glycoprotein therapeutic pharmacokinetics, pharmacodynamics, and effector functions. Furthermore, the development of fusion proteins requires in-depth characterization of the protein integrity and its glycosylation to evaluate their critical quality attributes. Fc-fusion proteins can be modified by complex glycosylation on the active peptide, the fragment crystallizable (Fc) domain, and the linker peptides. Moreover, the type of glycosylation and the glycan distribution at a given glycosite depend on the host cell line and the expression system conditions that significantly impact safety and efficacy. Because of the inherent heterogeneity of glycosylation, it is necessary to assign glycan structural detail for glycoprotein quality control. Using conventional reversed-phase LC–MS methods, the different glycoforms at a given glycosite elute over a narrow retention time window, and glycopeptide ionization is suppressed by co-eluting non-modified peptides. To overcome this drawback, we used nanoHILIC-MS to characterize the complex glycosylation of UTI-Fc, a fusion protein that greatly increases the half-life of ulinastatin. By this methodology, we identified and characterized ulinastatin glycopeptides at the Fc domain and linker peptide. The results described herein demonstrate the advantages of nanoHILIC-MS to elucidate glycan features on glycotherapeutics that fail to be detected using traditional reversed-phase glycoproteomics.
Recurrent Laryngeal Nerve with Loss of Signal During Monitored Thyroidectomy: Percentage Reduction in Sum of the Amplitude of Left and Right Channel
Authors: Yuan Qianqian , Hou Jinxuan , Zheng Lewei , Xu Gaoran , Yang Yalong , Li Chengxin , Wu Gaosong , Tian Wen 
Published: September 2022

AbstractPurposeThe prognostication for the injured recurrent laryngeal nerve (RLN) with incomplete loss of signal (LOS) and its function outcome have not been well unified. A warning criterion was proposed to predict RLN injury during monitored thyroidectomy.MethodsA retrospective review of prospectively collected data from consecutive 357 patients with 560 nerves at risk was conducted. Vocal cords mobility with laryngoscope was performed preoperatively, on the second day, and once a month postoperatively until complete recovery. Different cutoff values of the percentage reduction in sum of the amplitude of left and right channel at the end of the surgery, for postoperative vocal cord paralysis (VCP) prediction were compared.ResultsPercentage reduction in sum of the amplitude of left and right channel at the end of operation ranged from 30.2 to 63.6% in 27 nerves with incomplete LOS (absolute amplitude value of final R2 > 100 μV with reduction > 50% of R1). Seven (1.25%) nerves experienced transient postoperative VCP, in which one nerve with postoperative VCP showed no amplitude reduction. The positive predictive value of VCP for the sum amplitude reduction exceeding 30, 40, 50, and 60% was 22.2, 40, 85.7, and 100%, respectively. Accuracy was 96.1, 98.2, 99.6, 99.4%, respectively.ConclusionPercentage reduction in sum of the amplitude of left and right channel is a meaningful method to improve the accuracy of VCP prediction. When the sum amplitude reduction ≥ 50%, surgeons should consider the possibility of postoperative VCP and correct some surgical maneuvers.
CMIP6 GCM ensemble members versus global surface temperatures
Authors: Scafetta Nicola 
Published: September 2022

AbstractThe Coupled Model Intercomparison Project (phase 6) (CMIP6) global circulation models (GCMs) predict equilibrium climate sensitivity (ECS) values ranging between 1.8 and 5.7$${^\circ }$$∘C. To narrow this range, we group 38 GCMs into low, medium and high ECS subgroups and test their accuracy and precision in hindcasting the mean global surface warming observed from 1980–1990 to 2011–2021 in the ERA5-T2m, HadCRUT5, GISTEMP v4, and NOAAGlobTemp v5 global surface temperature records. We also compare the GCM hindcasts to the satellite-based UAH-MSU v6 lower troposphere global temperature record. We use 143 GCM ensemble averaged simulations under four slightly different forcing conditions, 688 GCM member simulations, and Monte Carlo modeling of the internal variability of the GCMs under three different model accuracy requirements. We found that the medium and high-ECS GCMs run too hot up to over 95% and 97% of cases, respectively. The low ECS GCM group agrees best with the warming values obtained from the surface temperature records, ranging between 0.52 and 0.58$${^\circ }$$∘C. However, when comparing the observed and GCM hindcasted warming on land and ocean regions, the surface-based temperature records appear to exhibit a significant warming bias. Furthermore, if the satellite-based UAH-MSU-lt record is accurate, actual surface warming from 1980 to 2021 may have been around 0.40$${^\circ }$$∘C (or less), that is up to about 30% less than what is reported by the surface-based temperature records. The latter situation implies that even the low-ECS models would have produced excessive warming from 1980 to 2021. These results suggest that the actual ECS may be relatively low, i.e. lower than 3$${^\circ }$$∘C or even less than 2$${^\circ }$$∘C if the 1980–2021 global surface temperature records contain spurious warming, as some alternative studies have already suggested. Therefore, the projected global climate warming over the next few decades could be moderate and probably not particularly alarming.
New concepts in atrial fibrillation pathophysiology
Authors: Hermans Ben J. M. , Weberndörfer Vanessa , Bijvoet Geertruida P. , Chaldoupi Sevasti-Maria , Linz Dominik 
Published: September 2022

AbstractThe current classification of atrial fibrillation (AF) is mainly focused on the clinical presentation according to the duration of AF episodes and the mode of termination, which incompletely reflect the severity and progressive nature of the underlying atrial disease. In this review article, “atrial cardiomyopathy” is discussed as a new concept in AF pathophysiology. Electrogram-, imaging-, and biomarker-derived measures and parameters to assess atrial cardiomyopathy, which will likely impact how AF is clinically classified and managed in the future, are presented.
Utility of flexible interventional endoscopy in endoscopic sinus surgery: a case series
Authors: Litzistorf Yann , Gorostidi François , Lambercy Karma , Reinhard Antoine 
Published: September 2022

Abstract
Purpose
During endoscopic sinus surgery (ESS), difficult-to-reach pathologies need an extended endoscopic approach or an external approach. We started to use a flexible interventional endoscope (FIE) to evaluate the necessity of those approaches. The study's objective is to describe our experience and define patients who could benefit from this technique.

Methods
We reviewed every patient who benefited from FIE associated with ESS at our tertiary University Hospital between January 2021 and February 2022.

Results
During this period, we did 107 ESS, and 14 patients benefited from the FIE, representing 13% of our ESS. The median duration of the flexible endoscopy time was 14 min (4–38 min). We identified three groups of patients who can benefit from the FIE. The first one is for patients with a fungal infection, to control and to clean lateral recesses in a noninvasive manner. The second one is for patients with a pathology of the lateral frontal sinus, to remove the frontoethmoidal cells or mucocele with the biopsy forceps through the working channel. The third group is for patients with inverted papillomas, to precisely identify the insertion and to decide on the most appropriate surgical approach.

Conclusions
In selected cases, using flexible endoscopy during ESS helps decide the optimal surgical approach and sometimes treat the pathology through a limited approach. Prospective studies for each group of patients are needed to confirm the benefit of this new combined procedure.
An observational pragmatic quality-of-life study on paediatric tonsillectomy and waiting for surgery
Authors: Huynh Julie , Woods Charmaine M. , Ooi Eng H. 
Published: September 2022

Abstract
Purpose
To investigate parental perceptions of the effects of tonsillectomy on their child’s quality of life while awaiting and following surgery in an Australian public health system.

Methods
An observational pragmatic study was undertaken at a tertiary Australian hospital. Parents of paediatric patients (2–16 years of age) listed for tonsillectomy completed a validated quality-of-life questionnaire (T-14 Paediatric Throat Disorders Outcome Test) at the initial consultation, on day of surgery, 6 weeks post-operatively and 6 months post-operatively. T-14 scores were compared using the Related-Samples Wilcoxon Signed Rank Test.

Results
Parents of 167 children participated in this study. There was a median wait time of 174 days (IQR 108–347) from the initial consultation until the day of surgery, with no significant change in median T-14 scores (35 [IQR 22–42] vs 36 [IQR 22–42]; n = 63; p > 0.05). There was a significant decrease from pre-operative T-14 scores to 6 weeks post-operatively (33.5 [IQR 22–42] vs 2 [IQR 0–5]; n = 160; p < 0.001), and this was sustained with a minor improvement at 6 months post-operatively (6 weeks 2 [IQR 0–5] vs 6 months 0 [IQR 0–2]; n = 148; p < 0.001).

Conclusions
Paediatric tonsillectomy improves quality of life with a sustained benefit in the long term. There is no improvement to the patient’s quality of life while awaiting tonsillectomy, thus patient welfare can be improved through reducing waiting times for surgery.
Mercury chloride alters heterochromatin domain organization and nucleolar activity in mouse liver
Authors: Zannino Lorena , Pagano Andrea , Casali Claudio , Oldani Monica , Balestrazzi Alma , Biggiogera Marco 
Published: September 2022

AbstractMercury is a highly toxic element that induces severe alterations and a broad range of adverse effects on health. Its exposure is a global concern because it is widespread in the environment due to its multiple industrial, domestic, agricultural and medical usages. Among its various chemical forms, both humans and animals are mainly exposed to mercury chloride (HgCl2), methylmercury and elemental mercury. HgCl2 is metabolized primarily in the liver. We analysed the effects on the nuclear architecture of an increasing dosage of HgCl2 in mouse hepatocytes cell culture and in mouse liver, focusing specifically on the organization, on some epigenetic features of the heterochromatin domains and on the nucleolar morphology and activity. Through the combination of molecular and imaging approaches both at optical and electron microscopy, we show that mercury chloride induces modifications of the heterochromatin domains and a decrease of some histones post-translational modifications associated to heterochromatin. This is accompanied by an increase in nucleolar activity which is reflected by bigger nucleoli. We hypothesized that heterochromatin decondensation and nucleolar activation following mercury chloride exposure could be functional to express proteins necessary to counteract the harmful stimulus and reach a new equilibrium.
Adrenoceptor sub-type involvement in Ca2+ current stimulation by noradrenaline in human and rabbit atrial myocytes
Authors: Saxena Priyanka , Myles Rachel C. , Smith Godfrey L. , Workman Antony J. 
Published: September 2022

Abstract
Atrial fibrillation (AF) from elevated adrenergic activity may involve increased atrial L-type Ca2+ current (ICaL) by noradrenaline (NA). However, the contribution of the adrenoceptor (AR) sub-types to such ICaL-increase is poorly understood, particularly in human. We therefore investigated effects of various broad-action and sub-type-specific α- and β-AR antagonists on NA-stimulated atrial ICaL. ICaL was recorded by whole-cell-patch clamp at 37 °C in myocytes isolated enzymatically from atrial tissues from consenting patients undergoing elective cardiac surgery and from rabbits. NA markedly increased human atrial ICaL, maximally by ~ 2.5-fold, with EC75 310 nM. Propranolol (β1 + β2-AR antagonist, 0.2 microM) substantially decreased NA (310 nM)-stimulated ICaL, in human and rabbit. Phentolamine (α1 + α2-AR antagonist, 1 microM) also decreased NA-stimulated ICaL. CGP20712A (β1-AR antagonist, 0.3 microM) and prazosin (α1-AR antagonist, 0.5 microM) each decreased NA-stimulated ICaL in both species. ICI118551 (β2-AR antagonist, 0.1 microM), in the presence of NA + CGP20712A, had no significant effect on ICaL in human atrial myocytes, but increased it in rabbit. Yohimbine (α2-AR antagonist, 10 microM), with NA + prazosin, had no significant effect on human or rabbit ICaL. Stimulation of atrial ICaL by NA is mediated, based on AR sub-type antagonist responses, mainly by activating β1- and α1-ARs in both human and rabbit, with a β2-inhibitory contribution evident in rabbit, and negligible α2 involvement in either species. This improved understanding of AR sub-type contributions to noradrenergic activation of atrial ICaL could help inform future potential optimisation of pharmacological AR-antagonism strategies for inhibiting adrenergic AF.
Feature fusion based on joint sparse representations and wavelets for multiview classification
Authors: Akbari Younes , Elharrouss Omar , Al-Maadeed Somaya 
Published: September 2022

AbstractFeature-level-based fusion has attracted much interest. Generally, a dataset can be created in different views, features, or modalities. To improve the classification rate, local information is shared among different views by various fusion methods. However, almost all the methods use the views without considering their common aspects. In this paper, wavelet transform is considered to extract high and low frequencies of the views as common aspects to improve the classification rate. The fusion method for the decomposed parts is based on joint sparse representation in which a number of scenarios can be considered. The presented approach is tested on three datasets. The results obtained by this method prove competitive performance in terms of the datasets compared to the state-of-the-art results.
Heart Rate Variability: A Personal Journey
Authors: Porges Stephen W. 
Published: September 2022

AbstractHeart rate variabfility (HRV) has been a focal point throughout my academic history. To put into perspective, I have published studies spanning seven decades focusing on HRV (1969–2022). My interest in HRV started early in graduate school and continues to be an important portal informing my theoretical perspective. The current paper tracks some of this history, which started as an empirical observation and moved through several scientific stages including development of quantitative methods and investigations of neural mechanisms. Along this journey a variety of hypotheses were tested including the relative sensitivity of HRV metrics to neural mechanisms, psychological processes, and medical diagnoses. In addition, the research led to the identification of portal of intervention that have become strategies to optimize mental and physical health. These apparent disparate programs of inquiry have been tightly merged as the Polyvagal Theory evolved. In the sections below, I have shared my personal journey through these stages of scientific inquiry and my attempts to integrate the new knowledge in an expansive theoretical model.
Neighborhood environment and socioeconomic inequalities in cancer admissions: a prospective study using UK Biobank and linked hospital records
Authors: Mason Kate E. , Pearce Neil , Cummins Steven 
Published: September 2022

Abstract
Purpose
Neighborhood environments may influence cancer risk. Average population effect estimates might mask differential effects by socioeconomic position. Improving neighborhood environments could inadvertently widen health inequalities if important differences are overlooked.

Methods
Using linked records of hospital admissions in UK Biobank, we assessed associations between admission with a primary diagnosis of cancer (any/breast/colorectal), and exposure to neighborhood greenspace, physical activity facilities, and takeaway food stores, and whether household income and area deprivation modify these associations. We used adjusted Cox proportional hazards models, and estimated relative excess risks due to interaction (RERI) to assess effect modification.

Results
Associations between neighborhood exposures and cancer-related hospitalizations were weak to null overall, but with some evidence of effect modification. Most notably, more greenspace near home was associated with 16% lower hazard of cancer-related hospital admission in deprived areas (95% CI 2–29%). This was further pronounced for people in low-income households in deprived areas, and for breast cancer.

Conclusion
In deprived neighborhoods, increasing the amount of greenspace may help reduce cancer-related hospitalizations. Examining effect modification by multiple socioeconomic indicators can yield greater insight into how social and environmental factors interact to influence cancer incidence. This may help avoid perpetuating cancer inequalities when designing neighborhood environment interventions.
Quantisations of the Volterra hierarchy
Authors: Carpentier Sylvain , Mikhailov Alexander V. , Wang Jing Ping 
Published: September 2022

AbstractIn this paper, we explore a recently emerged approach to the problem of quantisation based on the notion of quantisation ideals. We explicitly prove that the nonabelian Volterra together with the whole hierarchy of its symmetries admits a deformation quantisation. We show that all odd-degree symmetries of the Volterra hierarchy admit also a non-deformation quantisation. We discuss the quantisation problem for periodic Volterra hierarchy including their quantum Hamiltonians, central elements of the quantised algebras, and demonstrate super-integrability of the quantum systems obtained. We show that the Volterra system with period 3 admits a bi-quantum structure, which can be regarded as a quantum deformation of its classical bi-Hamiltonian structure.
Arbitrage-free smile construction on FX option markets using Garman-Kohlhagen deltas and implied volatilities
Authors: Muck Matthias 
Published: September 2022

AbstractThis paper addresses arbitrage-free FX smile construction from near-term implied volatility dynamics proposed by Carr (J Financ Econ, 120(1), 1–20, 2016). The approach is directly applicable to FX option market conventions. Prices of market benchmark contracts (risk reversals and butterflies) are identified as the roots of a cubic polynomial and ATM-volatility can be matched by construction. Implied volatilities are computed with respect to (non-premium adjusted) option deltas. The approach is compared to the Vanna Volga Approach, which does not guarantee arbitrage-free prices. An empirical application to a normal and a stress scenario demonstrates that arbitrage-free implied volatilities coincide with those from the Vanna Volga Approach when prices are interpolated between the $$\Delta$$
Δ
25-call and $$\Delta$$
Δ
25-put options. Differences are observed when implied volatilities are extrapolated to the wings. Empirically, these differences are particularly relevant in a stress scenario during the Coronavirus crises (2020).
Bioethical Implications of Vulnerability and Politics for Healthcare in Ethiopia and The Ways Forward
Authors: Mussie Kirubel Manyazewal , Elger Bernice Simone , Kaba Mirgissa , Pageau Félix , Wienand Isabelle 
Published: September 2022

AbstractVulnerability and politics are among the relevant and key topics of discussion in the Ethiopian healthcare context. Attempts by the formal bioethics structure in Ethiopia to deliberate on ethical issues relating to vulnerability and politics in healthcare have been limited, even though the informal analysis of bioethical issues has been present in traditional Ethiopian communities. This is reflected in religion, social values, and local moral underpinnings. Thus, the aim of this paper is to discuss the bioethical implications of vulnerability and politics for healthcare in Ethiopia and to suggest possible ways forward. First, we will briefly introduce what has been done to develop bioethics as a field in Ethiopia and what gaps remain concerning its implementation in healthcare practice. This will give a context for our second and main task – analyzing the healthcare challenges in relation to vulnerability and politics and discussing their bioethical implications. In doing so, and since these two concepts are intrinsically broad, we demarcate their scope by focusing on specific issues such as poverty, gender, health governance, and armed conflicts. Lastly, we provide suggestions for the ways forward.
A comparison of machine learning algorithms in predicting COVID-19 prognostics
Authors: Ustebay Serpil , Sarmis Abdurrahman , Kaya Gulsum Kubra , Sujan Mark 
Published: September 2022

AbstractML algorithms are used to develop prognostic and diagnostic models and so to support clinical decision-making. This study uses eight supervised ML algorithms to predict the need for intensive care, intubation, and mortality risk for COVID-19 patients. The study uses two datasets: (1) patient demographics and clinical data (n = 11,712), and (2) patient demographics, clinical data, and blood test results (n = 602) for developing the prediction models, understanding the most significant features, and comparing the performances of eight different ML algorithms. Experimental findings showed that all prognostic prediction models reported an AUROC value of over 0.92, in which extra tree and CatBoost classifiers were often outperformed (AUROC over 0.94). The findings revealed that the features of C-reactive protein, the ratio of lymphocytes, lactic acid, and serum calcium have a substantial impact on COVID-19 prognostic predictions. This study provides evidence of the value of tree-based supervised ML algorithms for predicting prognosis in health care.
Smart retrofitting for human factors: a face recognition-based system proposal
Authors: Generosi Andrea , Agostinelli Thomas , Mengoni Maura 
Published: September 2022

AbstractIndustry nowadays must deal with the so called “fourth industrial revolution”, i.e. Industry 4.0. This revolution is based on the introduction of new paradigms in the manufacturing industry such as flexibility, efficiency, safety, digitization, big data analysis and interconnection. However, human factors’ integration is usually not considered, although included as one of the paradigms. Some of these human factors’ most overlooked aspects are the customization of the worker’s user experience and on-board safety. Moreover, the issue of integrating state of the art technologies on legacy machines is also of utmost importance, as it can make a considerable difference on the economic and environmental aspects of their management, by extending the machine’s life cycle. In response to this issue, the Retrofitting paradigm, the addition of new technologies to legacy machines, has been considered. In this paper we propose a novel modular system architecture for secure authentication and worker’s log-in/log-out traceability based on face recognition and on state-of-the-art Deep Learning and Computer Vision techniques, as Convolutional Neural Networks. Starting from the proposed architecture, we developed and tested a device designed to retrofit legacy machines with such capabilities, keeping particular attention to the interface usability in the design phase, little considered in retrofitting applications along with other Human Factors, despite being one of the pillars of Industry 4.0. This research work’s results showed a dramatic improvement regarding machines on-board access safety.