bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of surgical technique, age, and Trisomy 21 on early outcome of surgical management of complete atrioventricular canal defect
Authors: Azzab Sherief , Samy Ahmed , Singab Hamdy , Zeinah Mohamed , Musollari Gledisa , Axiaq Ariana , Harky Amer , Tarek Ahmed , El Ghanam Mohamed 
Published: August 2021

AbstractBackground:The optimal timing, surgical technique, and the influence of Trisomy 21 on the outcome of surgical repair of Complete Atrioventricular Canal Defect remains uncertain. We reviewed our experience in the repair of CAVC to identify the influence of these factors on operative outcomes.Methods:A prospective study included 70 patients, who underwent repair of CAVC at our institute between July, 2016 and October, 2019. Primary endpoint was mortality and the secondary endpoint was a degree of left atrioventricular valve regurgitation.Results:No significant difference was noted between patients operated on, at the first 6 months of age versus later, regarding mortality or LAVV regurgitation. Surgical repair by modified single-patch technique showed a significant reduction in bypass time (71.13 ± 13.507 min versus 99.19 ± 27.092 min, p-value = 0.001). Compared to closure of cleft only, posterior annuloplasty used for repair of LAVV resulted in significant reduction in the occurrence of post-operative valve regurgitation during the early period (LAVV 2 + 43 versus 7 %, p-value = 0.03) and at 6 months of follow-up (LAVV 2 + 35.4 versus 0 %, p-value = 0.01), respectively.Conclusions:Early intervention, in the first 6 months in patients with CAVC by surgical repair gives comparable acceptable results to later repair; Trisomy 21 was not found to be a risk factor for early intervention. Repair of common AV valve by cleft closure with posterior LAVV annuloplasty showed better results with a significant decrease in post-operative LAVV regurgitation and early mortality in comparison to the closure of cleft only.
Thinness, overweight and obesity among 6- to 17-year-old Malaysians: secular trends and sociodemographic determinants from 2006 to 2015
Authors: Mohamad Maria S , Mahadir Naidu Balkish , Kaltiala Riittakerttu , Virtanen Suvi M , Lehtinen-Jacks Susanna 
Published: August 2021

AbstractObjective:To examine secular trends and sociodemographic determinants of thinness, overweight and obesity among Malaysian children and adolescents from 2006 to 2015.Design:We used cross-sectional data from the National Health and Morbidity Surveys 2006, 2011 and 2015. Individuals were classified into pre- (6–9 years), early (10–13 years) and mid- (14–17 years) adolescence. BMI status was determined according to the International Obesity Task Force (IOTF) and WHO criteria, using measured height and weight. We analysed trends using log-binomial regression, by sex-age groups, stratified by sociodemographic factors (ethnicity, residential area, household size and household income), and accounting for the complex survey design. Associations between sociodemographic factors and prevalence of thinness and overweight (obesity included) in 2015 were assessed using log-Poisson regression.Setting:Nationwide population-based surveys, Malaysia.Participants:Eligible 6–17-year-olds from urban and rural residential areas (n 28 094).Results:The prevalence of thinness decreased from 2006 to 2015 (IOTF: boys from 22 % to 18 %, girls from 23 % to 19 %; WHO: boys from 9 % to 7 %, girls from 8 % to 6 %), while the prevalence of overweight increased (IOTF: boys from 20 % to 26 %, girls from 19 % to 24 %; WHO: boys from 25 % to 31 %, girls from 22 % to 27 %). These changes were statistically significant in most sex-age groups. Thinness and overweight co-existed in all sociodemographic subgroups, with variation in the prevalence estimates, but similar secular changes in most subgroups.Conclusions:Malaysia is facing a double burden of malnutrition at population level with a secular increase in overweight and obesity and a gradual decrease in thinness among 6–17-year-olds from varying sociodemographic backgrounds.
Association of long-term exposure to air pollution with chronic sleep deprivation in adults from 141 urban communities in South Korea: a community-level longitudinal study, 2008‒2016
Authors: Lee Whanhee , Seo Daeun , Myung Woojae , Prifti Kristi , Kang Cinoo , Jang Hyemin , Park Chaerin , Bell Michelle L. , Kim Ho 
Published: August 2021

Abstract

Aims
It has been well known that air pollution and sleep deprivation individually have impacts on human health; however, the association between the two has not been well researched. The aim of this study was to investigate this relationship at a community level.

Methods
We collected sleep outcomes from the Korean Community Health Survey between years of 2008 and 2016. The data contained 1 130 080 selected adults aged ⩾ 19 years, from 141 communities. As sleep outcomes, annual chronic sleep deprivation (% of people who sleep ⩽ 5 h per day on average) and average values of daily mean sleep duration were used. Community-specific annual averages of particulate matter with a diameter ⩽ 10 μm (PM10), nitrogen dioxide (NO2) and carbon monoxide (CO) were collected and then applied to a linear mixed effects model to estimate the association between air pollution over the past 4 years and sleep outcomes. Population density, green space, health behaviour, and gross regional domestic product per capita variables were considered as confounders in all mixed effect models.

Results
From the linear mixed effect models, we found that the chronic sleep deprivation % was positively associated with PM10 (0.33% increase with 95% CI 0.05–0.60; per 10 μg/m3) and NO2 (0.68% with 95% CI 0.44–0.92; per 10 ppm). Higher PM10 and NO2 were also associated with shorter sleep duration, with a reduction of 0.37 min (95% CI −0.33 to 1.07 min; per 10 μg/m3) and 2.09 min (95% CI 1.50–2.68 min; per 10 ppm), respectively. The associations between PM10 and sleep outcomes were higher in females than males and in the older age groups (⩾ 60-years) than in younger age groups (19–39 and 40–59 years). However, the association between NO2 and sleep outcomes were more higher in males than in females and in the younger age groups (19–39 years) than other age groups.

Conclusions
Our findings provide epidemiological evidence that long-term interventions to reduce air pollutions are anticipated to provide improvements in sleep deficiency.
The Response of Daily and Sub‐Daily Extreme Precipitations to Changes in Surface and Dew‐Point Temperatures
Authors: Pérez Bello Alexis , Mailhot Alain , Paquin Dominique 
Published: August 2021

AbstractExtreme precipitation events are expected to increase in frequency and intensity in the future climate, but the magnitude of these changes remains uncertain. The relationship between extreme precipitation and the surface temperature has been investigated to more robustly assess projected increases in extreme precipitation considering that projected temperature is more adequately simulated. Relationships between extreme precipitation (daily and sub‐daily) and surface air temperature (SAT) or surface dew‐point temperature (SDPT) are analyzed in this study using the 50‐members ensemble from the fifth version of the Canadian Regional Climate Model covering the Northeastern North America region over the period 1956–2099. Temperature‐precipitation scaling rates (TPSRs) were estimated using local SAT and SDPT seasonal anomalies as covariate over both periods for 2–100‐year extreme precipitation events and durations ranging from 1 to 24 h. Contrasting responses were obtained when using SAT or SDPT, especially in the southern part of the domain. Median scaling rates over the entire domain for SDPT were close to the Clausius‐Clapeyron scaling (°C) while they were much smaller for SAT and even negative in southern regions, showing that moisture availability is a key factor for these regions. TPSR based on SDPT is also more robustly constrained and can be used to estimate changes in short‐duration extreme precipitation in a future period from TPSR in the historical period over a large part of the domain.
circEVI5 acts as a miR-4793-3p sponge to suppress the proliferation of gastric cancer
Authors: Yan Meinan , Niu Liling , Liu Jing , Yao Yuan , Li Hui 
Published: August 2021

AbstractCircular RNAs (circRNAs) are a novel class of endogenous noncoding RNAs (ncRNAs) with a covalently closed loop structure. Accumulating evidence shows that circRNAs play vital roles in the growth, metastasis, treatment and prognosis of various cancers. However, the detailed functions and underlying mechanisms of circEVI5 (hsa_circ_0013162) in gastric cancer (GC) remain undocumented. In this study, the expression levels and prognostic value of circEVI5 were validated in GC tissue samples by using qRT-PCR. circEVI5 was significantly downregulated in GC tissues and cells, and low circEVI5 expression was correlated with poor prognosis. Next, in vitro CCK-8 assay, EdU incorporation assay, PI staining cell cycle assay, and in vivo xenograft mouse models were conducted to assess the functions of circEVI5. Gain of function experiments indicated that circEVI5 could inhibit GC cell proliferation and retard the cell cycle. Moreover, bioinformatics prediction showed that circEVI5 binds to miR-4793-3p, while FOXO1 may be a target of miR-4793-3p. Pull-down assays, RNA immunoprecipitation (RIP) assays, luciferase assays, and western blot were used to confirm the interactions between circEVI5, miR-4793-3p, and FOXO1. Functional assays demonstrated that circEVI5 suppressed the proliferation of GC by sponging miR-4793-3p and increasing FOXO1 expression levels. In conclusion, our study demonstrated that circEVI5 can bind miR-4793-3p as a ceRNA to eliminate the negative regulation of FOXO1, therefore suppressing GC proliferation.
Compound 968 reverses adriamycin resistance in breast cancer MCF-7ADR cells via inhibiting P-glycoprotein function independently of glutaminase
Authors: Yang Ronghui , Guo Zihao , Zhao Yiliang , Ma Lingdi , Li Binghui , Yang Chuanzhen 
Published: August 2021

AbstractAdriamycin (ADR) is a chemotherapeutic drug widely utilized to treat multiple types of cancers; however, the clinical efficacy of ADR is compromised due to the development of drug resistance in patients. The combination of drugs with ADR may provide a better therapeutic regimen to overcome this obstacle. Glutaminase (GLS) has been explored as a therapeutic cancer target, and its inhibition also results in increased sensitivity of tumor cells to chemotherapeutic agents. This study aimed to investigate whether GLS inhibition could reverse ADR resistance. We treated the ADR-resistant MCF-7 (MCF-7ADR) cells with a GLS inhibitor, compound 968 or CB-839, in combination with ADR. We found that compound 968, rather than CB-839, together with ADR synergistically inhibited the cell viability. These results indicated that compound 968 reversed ADR resistance in MCF-7ADR cells independently of GLS. Moreover, we modified the structure of compound 968 and finally obtained a compound 968 derivative, SY-1320, which was more potent than compound 968 in eliminating the drug resistance in MCF-7ADR cells. Furthermore, using drug affinity responsive target stability and streptavidin–biotin immunoprecipitation assays, we demonstrated that SY-1320 could specifically target P-glycoprotein (P-gp) and increase ADR accumulation through inhibition of P-gp, thereby resulting in cell death in MCF-7ADR cells. Together, our findings indicate that compound 968 or SY-1320 might be a promising drug for new combination chemotherapy in breast cancer to overcome the drug resistance.
Deep learning of contagion dynamics on complex networks
Authors: Murphy Charles , Laurence Edward , Allard Antoine 
Published: August 2021

AbstractForecasting the evolution of contagion dynamics is still an open problem to which mechanistic models only offer a partial answer. To remain mathematically or computationally tractable, these models must rely on simplifying assumptions, thereby limiting the quantitative accuracy of their predictions and the complexity of the dynamics they can model. Here, we propose a complementary approach based on deep learning where effective local mechanisms governing a dynamic on a network are learned from time series data. Our graph neural network architecture makes very few assumptions about the dynamics, and we demonstrate its accuracy using different contagion dynamics of increasing complexity. By allowing simulations on arbitrary network structures, our approach makes it possible to explore the properties of the learned dynamics beyond the training data. Finally, we illustrate the applicability of our approach using real data of the COVID-19 outbreak in Spain. Our results demonstrate how deep learning offers a new and complementary perspective to build effective models of contagion dynamics on networks.
Rhodaelectro-catalyzed access to chromones via formyl C–H activation towards peptide electro-labeling
Authors: Stangier Maximilian , Messinis Antonis M. , Oliveira João C. A. , Yu Hao , Ackermann Lutz 
Published: August 2021

AbstractChromones represent a privileged scaffold in medicinal chemistry and are an omnipresent structural motif in natural products. Chemically encoded non-natural peptidomimetics feature improved stability towards enzymatic degradation, cell permeability and binding affinity, translating into a considerable impact on pharmaceutical industry. Herein, a strategy for the sustainable assembly of chromones via electro-formyl C–H activation is presented. The rational design of the rhodaelectro-catalysis is guided by detailed mechanistic insights and provides versatile access to tyrosine-based fluorogenic peptidomimetics.
Closing the methane gap in US oil and natural gas production emissions inventories
Authors: Rutherford Jeffrey S. , Sherwin Evan D. , Ravikumar Arvind P. , Heath Garvin A. , Englander Jacob , Cooley Daniel , Lyon David , Omara Mark , Langfitt Quinn , Brandt Adam R. 
Published: August 2021

AbstractMethane (CH4) emissions from oil and natural gas (O&NG) systems are an important contributor to greenhouse gas emissions. In the United States, recent synthesis studies of field measurements of CH4emissions at different spatial scales are ~1.5–2× greater compared to official greenhouse gas inventory (GHGI) estimates, with the production-segment as the dominant contributor to this divergence. Based on an updated synthesis of measurements from component-level field studies, we develop a new inventory-based model for CH4emissions, for the production-segment only, that agrees within error with recent syntheses of site-level field studies and allows for isolation of equipment-level contributions. We find that unintentional emissions from liquid storage tanks and other equipment leaks are the largest contributors to divergence with the GHGI. If our proposed method were adopted in the United States and other jurisdictions, inventory estimates could better guide CH4mitigation policy priorities.
Spectroscopic evidence for a large spot on the dimming Betelgeuse
Authors: Alexeeva Sofya , Zhao Gang , Gao Dong-Yang , Du Junju , Li Aigen , Li Kai , Hu Shaoming 
Published: August 2021

AbstractDuring October 2019 and March 2020, the luminous red supergiant Betelgeuse demonstrated an unusually deep minimum of its brightness. It became fainter by more than one magnitude and this is the most significant dimming observed in the recent decades. While the reason for the dimming is debated, pre-phase of supernova explosion, obscuring dust, or changes in the photosphere of the star were suggested scenarios. Here, we present spectroscopic studies of Betelgeuse using high-resolution and high signal-to-noise ratio near-infrared spectra obtained at Weihai Observatory on four epochs in 2020 covering the phases of during and after dimming. We show that the dimming episode is caused by the dropping of its effective temperature by at least 170 K on 2020 January 31, that can be attributed to the emergence of a large dark spot on the surface of the star.
Activation pathway of a G protein-coupled receptor uncovers conformational intermediates as targets for allosteric drug design
Authors: Lu Shaoyong , He Xinheng , Yang Zhao , Chai Zongtao , Zhou Shuhua , Wang Junyan , Rehman Ashfaq Ur , Ni Duan , Pu Jun , Sun Jinpeng , Zhang Jian 
Published: August 2021

AbstractG protein-coupled receptors (GPCRs) are the most common proteins targeted by approved drugs. A complete mechanistic elucidation of large-scale conformational transitions underlying the activation mechanisms of GPCRs is of critical importance for therapeutic drug development. Here, we apply a combined computational and experimental framework integrating extensive molecular dynamics simulations, Markov state models, site-directed mutagenesis, and conformational biosensors to investigate the conformational landscape of the angiotensin II (AngII) type 1 receptor (AT1 receptor) — a prototypical class A GPCR—activation. Our findings suggest a synergistic transition mechanism for AT1 receptor activation. A key intermediate state is identified in the activation pathway, which possesses a cryptic binding site within the intracellular region of the receptor. Mutation of this cryptic site prevents activation of the downstream G protein signaling and β-arrestin-mediated pathways by the endogenous AngII octapeptide agonist, suggesting an allosteric regulatory mechanism. Together, these findings provide a deeper understanding of AT1 receptor activation at an atomic level and suggest avenues for the design of allosteric AT1 receptor modulators with a broad range of applications in GPCR biology, biophysics, and medicinal chemistry.
COVID-19 spread, detection, and dynamics in Bogota, Colombia
Authors: Laajaj Rachid , De Los Rios Camilo , Sarmiento-Barbieri Ignacio , Aristizabal Danilo , Behrentz Eduardo , Bernal Raquel , Buitrago Giancarlo , Cucunubá Zulma , de la Hoz Fernando , Gaviria Alejandro , Hernández Luis Jorge , León Leonardo , Moyano Diane , Osorio Elkin , Varela Andrea Ramírez , Restrepo Silvia , Rodriguez Rodrigo , Schady Norbert , Vives Martha , Webb Duncan 
Published: August 2021

AbstractLatin America has been severely affected by the COVID-19 pandemic but estimations of rates of infections are very limited and lack the level of detail required to guide policy decisions. We implemented a COVID-19 sentinel surveillance study with 59,770 RT-PCR tests on mostly asymptomatic individuals and combine this data with administrative records on all detected cases to capture the spread and dynamics of the COVID-19 pandemic in Bogota from June 2020 to early March 2021. We describe various features of the pandemic that appear to be specific to a middle income countries. We find that, by March 2021, slightly more than half of the population in Bogota has been infected, despite only a small fraction of this population being detected. The initial buildup of immunity contributed to the containment of the pandemic in the first and second waves. We also show that the share of the population infected by March 2021 varies widely by occupation, socio-economic stratum, and location. This, in turn, has affected the dynamics of the spread with different groups being infected in the two waves.
Optical N-invariant of graphene’s topological viscous Hall fluid
Authors: Van Mechelen Todd , Sun Wenbo , Jacob Zubin 
Published: August 2021

AbstractOver the past three decades, graphene has become the prototypical platform for discovering topological phases of matter. Both the Chern $$C\in {\mathbb{Z}}$$
C
∈
Z
and quantum spin Hall $$\upsilon \in {{\mathbb{Z}}}_{2}$$
υ
∈

Z

2

insulators were first predicted in graphene, which led to a veritable explosion of research in topological materials. We introduce a new topological classification of two-dimensional matter – the optical N-phases $$N\in {\mathbb{Z}}$$
N
∈
Z
. This topological quantum number is connected to polarization transport and captured solely by the spatiotemporal dispersion of the susceptibility tensor χ. We verify N ≠ 0 in graphene with the underlying physical mechanism being repulsive Hall viscosity. An experimental probe, evanescent magneto-optic Kerr effect (e-MOKE) spectroscopy, is proposed to explore the N-invariant. We also develop topological circulators by exploiting gapless edge plasmons that are immune to back-scattering and navigate sharp defects with impunity. Our work indicates that graphene with repulsive Hall viscosity is the first candidate material for a topological electromagnetic phase of matter.
Four species of bacteria deterministically assemble to form a stable biofilm in a millifluidic channel
Authors: Monmeyran A. , Benyoussef W. , Thomen P. , Dahmane N. , Baliarda A. , Jules M. , Aymerich S. , Henry N. 
Published: August 2021

AbstractMultispecies microbial adherent communities are widespread in nature and organisms, although the principles of their assembly and development remain unclear. Here, we test the possibility of establishing a simplified but relevant model of multispecies biofilm in a non-invasive laboratory setup for the real-time monitoring of community development. We demonstrate that the four chosen species (Bacillus thuringiensis,Pseudomonas fluorescens,Kocuria varians,andRhodocyclussp.) form a dynamic community that deterministically reaches its equilibrium after ~30 h of growth. We reveal the emergence of complexity in this simplified community as reported by an increase in spatial heterogeneity and non-monotonic developmental kinetics. Importantly, we find interspecies interactions consisting of competition for resources—particularly oxygen—and both direct and indirect physical interactions. The simplified experimental model opens new avenues to the study of adherent bacterial communities and their behavior in the context of rapid global change.
Tension-free Dirac strings and steered magnetic charges in 3D artificial spin ice
Authors: Koraltan Sabri , Slanovc Florian , Bruckner Florian , Nisoli Cristiano , Chumak Andrii V. , Dobrovolskiy Oleksandr V. , Abert Claas , Suess Dieter 
Published: August 2021

Abstract3D nano-architectures presents a new paradigm in modern condensed matter physics with numerous applications in photonics, biomedicine, and spintronics. They are promising for the realization of 3D magnetic nano-networks for ultra-fast and low-energy data storage. Frustration in these systems can lead to magnetic charges or magnetic monopoles, which can function as mobile, binary information carriers. However, Dirac strings in 2D artificial spin ices bind magnetic charges, while 3D dipolar counterparts require cryogenic temperatures for their stability. Here, we present a micromagnetic study of a highly frustrated 3D artificial spin ice harboring tension-free Dirac strings with unbound magnetic charges at room temperature. We use micromagnetic simulations to demonstrate that the mobility threshold for magnetic charges is by 2 eV lower than their unbinding energy. By applying global magnetic fields, we steer magnetic charges in a given direction omitting unintended switchings. The introduced system paves the way toward 3D magnetic networks for data transport and storage.