bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mehmed the Conqueror between Sulh-i Kull and Prisca Theologia
Authors: Casale Giancarlo 
Published: April 2022

AbstractThis article presents a new interpretation of the reign of the Ottoman sultan Mehmed the Conqueror (r. 1444–46, 1451–81) as refracted through the twin historical lenses of Mughal South Asia and the Renaissance Mediterranean. On the one hand, it argues that Mehmed, despite his current reputation as a conquering hero of Islam, in fact aspired to a model of sovereignty analogous to Akbar's Sulh-i Kull, and with a common point of origin in the conceptual worlds of post-Mongol Iran and Timurid central Asia. On the other hand, it also draws from the historiography of the Italian Renaissance to interpret Mehmed's cultural politics as being simultaneously inspired by a particular thread of Renaissance philosophy, the Prisca Theologia, which in many ways served as the Ottoman equivalent of Akbar's Sulh-i Kull.
Epidemiological characteristics of mumps from 2004 to 2020 in Jiangsu, China: a flexible spatial and spatiotemporal analysis
Authors: Li Mingma , Liu Yuxiang , Yan Tao , Xue Chenghao , Zhu Xiaoyue , Yuan Defu , Hu Ran , Liu Li , Wang Zhiguo , Liu Yuanbao , Wang Bei 
Published: April 2022

Abstract
The mumps resurgence has frequently been reported around the world in recent years, especially in many counties mumps vaccines have been widely used. This study aimed to describe the spatial epidemiological characteristics of mumps in Jiangsu, and provide a scientific basis for the implementation and adjustment of strategies to prevent and control mumps. The epidemiological characteristics were described with ratio or proportion. Spatial autocorrelation, Tango's flexible spatial scan statistics, and Kulldorff's elliptic spatiotemporal scan statistics were applied to identify the spatial autocorrelation, detect hot and cold spots of mumps incidence, and aggregation areas. A total of 172 775 cases were reported from 2004 to 2020 in Jiangsu. The general trend of mumps incidence is declining with a bimodal seasonal distribution identified mainly in summer and winter, respectively. Children aged 5–10 years old are the main risk group. A migration trend of hot spots from southeast to northwest over time was found. Similar high-risk aggregations were detected in the northwestern parts through spatial-temporal analysis with the most likely cluster time frame around 2019. Local medical and health administrations should formulate and implement targeted health care policies and allocate health resources more appropriately corresponding to the epidemiological characteristics of mumps.
A complete case of Cantrell’s Pentalogy with isolated left ventricular diverticulum
Authors: Basgoze Serdar , Ogunc Begum , Erek Ersin 
Published: April 2022

AbstractThe congenital left ventricular diverticulum is a rare cardiac malformation, and it may associate with Cantrell’s Pentalogy with other cardiac defects. However, isolated ventricular diverticulum without any other cardiac defect in complete Cantrell’s syndrome is very rare. We describe a 6-year-old male patient with a complete Cantrell’s syndrome with isolated left ventricular diverticulum.
The voice synthesis business: 2022 update
Authors: Dale Robert 
Published: April 2022

AbstractIn the past few years, high-quality automated text-to-speech synthesis has effectively become a commodity, with easy access to cloud-based APIs provided by a number of major players. At the same time, developments in deep learning have broadened the scope of voice synthesis functionalities that can be delivered, leading to a growth in the range of commercially viable use cases. We take a look at the technology features and use cases that have attracted attention and investment in the past few years, identifying the major players and recent start-ups in the space.
Estimating Reservoir Inflow and Outflow From Water Level Observations Using Expert Knowledge: Dealing With an Ill‐Posed Water Balance Equation in Reservoir Management
Authors: Song Jung‐Hun , Her Younggu , Kang Moon‐Seong 
Published: April 2022

AbstractQuantifying reservoir water balance is an essential process for the efficient management of water resources. Water level records are often the only data available for reservoir analysis, which causes an ill‐posed problem in water resource system planning. This study proposes an analytical framework to estimate reservoir inflow and outflow from water level observations using hydrological models and reasoning carefully derived from expert knowledge and soft data. Partial reservoir inflow hydrographs were constructed from water level observations using a continuity equation and knowledge‐based constraints developed for periods of no spillway discharge. A bucket‐type rainfall‐runoff model was then calibrated to the partial inflow hydrographs. Finally, a complete reservoir inflow hydrograph was constructed using the calibrated models, which were then employed to estimate detailed reservoir outflow components under a full water balance relationship between inflow, outflow, water levels, and reservoir operation rules. The proposed solution for the ill‐posed water balance equation outperformed conventional (benchmark) approaches in accuracy and uncertainty in its application to agricultural reservoirs. This study demonstrates how hydrological modeling and reasoning, which are discreetly designed based on expert knowledge, can help to solve the ill‐posed water balance equation by creating supplementary information regarding the problem. The proposed framework is expected to assist in reconstructing reservoir routing processes using water level observations for hydrological analysis and water resource management planning.
Using Clustering, Statistical Modeling, and Climate Change Projections to Analyze Recent and Future Region‐Specific Compound Ozone and Temperature Burden Over Europe
Authors: Jahn Sally , Hertig Elke 
Published: April 2022

AbstractHigh ground‐level ozone concentrations and high air temperatures present two health‐relevant natural hazards. The most severe health outcomes are generally associated with concurrent elevated levels of both variables, representing so‐called compound ozone and temperature (o‐t‐) events. These o‐t‐events, their relationship with identified main meteorological and synoptic drivers, as well as ozone and temperature levels themselves and the linkage between both variables, vary temporally and with the location of sites. Due to the serious health burden and its spatiotemporal variations, the analysis of o‐t‐events across the European domain represents the focus of the current work. The main objective is to model and project present and future o‐t‐events, taking region‐specific differences into account. Thus, a division of the European domain into six o‐t‐regions with homogeneous, similar ground‐level ozone and temperature characteristics and patterns built the basis of the study. In order to assess region‐specific main meteorological and synoptic drivers of o‐t‐events, statistical downscaling models were developed for selected representative stations per o‐t‐region. Statistical climate change projections for all central European o‐t‐regions were generated to assess potential frequency shifts of o‐t‐events until the end of the 21st century. The output of eight Earth System Models from the sixth phase of the Coupled Model Intercomparison Project considering SSP245 and SSP370 scenario assumptions was applied. By comparing midcentury (2041–2060) and late century (2081–2100) time slice differences with respect to a historical base period (1995–2014), substantial increases of the health‐relevant compound o‐t‐events were projected across all central European regions.
High‐Fidelity Analysis of ULF Wave Mode Structure Following Interplanetary Shock Compression of the Dayside Magnetopause Using MMS Multi‐Point Observations
Authors: Barani Mohammad , Tu Weichao , Hudson Mary K. , Sarris Theodore 
Published: April 2022

AbstractDuring the 9 March 2018 event with two consecutive interplanetary shocks compressing the dayside magnetosphere, the azimuthal mode structure and frequency spectrum of ultra low frequency magnetic pulsations are resolved using a cross‐spectral analysis based on high‐fidelity multi‐probe Magnetospheric Multiscale Mission (MMS) magnetometer data. The results based on the MMS 4 and MMS 3 pair of measurements show that shock arrival leads to low mode () magnetic fluctuations in the Pc4‐5 regimes, and smaller spatial scale fluctuations implied by the dominant high mode numbers are observed after both shock signatures hit and passed the magnetosphere. Detailed evolution of the mode structure is also shown for the first shock to reveal the development of high mode structure from a bump‐on‐tail distribution at to a dominant peak at in about 10 min. In addition, an interesting change of sign in from negative to positive is observed as MMS crosses ∼11 MLT pre‐noon, which is consistent with the picture of wave generation by dayside magnetopause compression and then anti‐sunward propagation. For both shocks, the contribution of higher frequency waves (Pc‐4 range compared with Pc‐5) to the total wave power is found to be negligible before and after the shock impact, but it becomes more significant during the shock impact.
Reparameterization Required After Model Structure Changes From Carbon Only to Carbon‐Nitrogen Coupling
Authors: Wang Song , Luo Yiqi , Niu Shuli 
Published: April 2022

AbstractPrediction of carbon (C) sequestration in terrestrial ecosystems under climate change depends on C‐nitrogen (N) interactions. While many newly developed C‐N coupling models predict lower C storage than their C‐only counterpart models, it has not been carefully examined whether or not such model predictions would be supported by real‐world observations. This study is to retrieve knowledge on N cycle from one field warming experiment in an alpine meadow of China so that we can better predict land C sequestration. We estimated two sets of parameters with one C‐only model and one C‐N coupling model, respectively, with the data assimilation technique. Our results showed that estimated process rates (e.g., senescence and decomposition rates) of organic C from almost all pools except standing litter and leaf are higher with the C‐N coupling model than those with the C‐only model. The allocation coefficient of C to root estimated with the C‐only model was 68.0% and 56.6% smaller than that with the C‐N coupling model under the ambient and warming treatments, respectively. Both the C‐only and C‐N coupling models simulate similar C pool sizes as observed at either the ambient or warming treatment with their respective parameter estimates. Meanwhile, the warming treatment increased the slow soil organic matter (SOM) pool due to decrease in estimated decomposition rate of the slow SOM via parameter fitting and increase in the C input from surface litter. In general, our results suggest that reparameterization is required when we add N processes to a C cycle model to realistically predict the ecosystem dynamics in response to future changes in N availability.
How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle?
Authors: Crisp David , Dolman Han , Tanhua Toste , McKinley Galen A. , Hauck Judith , Bastos Ana , Sitch Stephen , Eggleston Simon , Aich Valentin 
Published: April 2022

AbstractFossil fuel combustion, land use change and other human activities have increased the atmospheric carbon dioxide (CO2) abundance by about 50% since the beginning of the industrial age. The atmospheric CO2 growth rates would have been much larger if natural sinks in the land biosphere and ocean had not removed over half of this anthropogenic CO2. As these CO2 emissions grew, uptake by the ocean increased in response to increases in atmospheric CO2 partial pressure (pCO2). On land, gross primary production also increased, but the dynamics of other key aspects of the land carbon cycle varied regionally. Over the past three decades, CO2 uptake by intact tropical humid forests declined, but these changes are offset by increased uptake across mid‐ and high‐latitudes. While there have been substantial improvements in our ability to study the carbon cycle, measurement and modeling gaps still limit our understanding of the processes driving its evolution. Continued ship‐based observations combined with expanded deployments of autonomous platforms are needed to quantify ocean‐atmosphere fluxes and interior ocean carbon storage on policy‐relevant spatial and temporal scales. There is also an urgent need for more comprehensive measurements of stocks, fluxes and atmospheric CO2 in humid tropical forests and across the Arctic and boreal regions, which are experiencing rapid change. Here, we review our understanding of the atmosphere, ocean, and land carbon cycles and their interactions, identify emerging measurement and modeling capabilities and gaps and the need for a sustainable, operational framework to ensure a scientific basis for carbon management.
Automatic Identification of the Main Ionospheric Trough in Total Electron Content Images
Authors: Starr Gregory , Mrak Sebastijan , Nishimura Yukitoshi , Hirsch Michael , Ishwar Prakash , Semeter Joshua 
Published: April 2022

AbstractThe main ionospheric trough (MIT) is a salient density feature in the mid‐latitude ionosphere and characterizing its structure is important for understanding Global Positioning System and HF signal propagation, and identifying geospace phenomena such as the plasmapause boundary layer. While a number of previous studies have statistically investigated the properties of the MIT utilizing low‐altitude satellite observations, they have been limited to latitudinal cross sections, and have not considered the inherent two‐dimensional structure of the MIT. In this work, we develop a regularized inversion method for identifying the two dimensional structure of the MIT in Total Electron Content maps. Because no ground truth labels exist for the MIT, we extensively characterize the behavior of the algorithm by comparing it to the method developed by Aa, Zou, et al. (2020, doi:https://doi.org/10.1029/2019JA027583). We show that statistics computed on the resulting labels are robust to our choice of algorithm parameters and that we are able to match the results of Aa, Zou, et al. (2020, doi:https://doi.org/10.1029/2019JA027583) with a particular selection of the parameters. In addition to enabling fundamentally different studies, our MIT labels are able to provide statistical MIT properties with higher resolution. Code to reproduce our data set is provided in a GitHub repository: https://github.com/gregstarr/trough.
The prevalence of high blood pressure and its determinants among Tunisian adolescents
Authors: Soua Sarra , Ghammam Rim , Maatoug Jihene , Zammit Nawel , Ben Fredj Sihem , Martinez Fernando , Ghannem Hassen 
Published: April 2022

AbstractHypertension can originate in childhood and remain undetected unless special screening is performed. The burden of hypertension in adolescents in Tunisia is unknown. The aim of this study was to investigate the prevalence of blood pressure (BP) within the hypertension range and its association with other risk factors among Tunisian adolescents. A cross-sectional study that included 1385 secondary school students in Sousse, Tunisia, was performed during 2017–2018. A two-stage cluster sampling strategy was used to obtain a representative sample of the study population. BP within the hypertension range (HBP)was classified following the European guideline recommendations for measuring BP in children and adolescents. Anthropometric indices were measured using a standard protocol. A structured questionnaire collected information about sociodemographic characteristics, lifestyle, mental health status, and addictions. Adjusted logistic regression models were used to assess hypertension-related risk factors. Our study included 39.5% boys and 60.5% girls. The mean age of our population was 17 ± 1.5 years. The prevalence of HBP was 15.4% (13.1–18.0%), and it was significantly higher in boys (22.8%) than in girls (10.6%, p value < 0.001). In the multivariate logistic regression model, overweight [OR = 1.72(1.18–2.51)] and obesity [OR = 3.73(2.55–5.41)] were independent risk factors for HBPrange, (p value < 0.001), whereas female sex [OR = 0.41(0.29–0.56), p value < 0.001] and depression [OR = 0.67(0.51–0.88), p value = 0.008] were independent protective factors. Among Tunisian secondary school adolescents, the prevalence of HBP was high and associated with excess body weight. A comprehensive strategy for the prevention of hypertension and its risk factors among youth is urgently needed.
Spatial modulation of nanopattern dimensions by combining interference lithography and grayscale-patterned secondary exposure
Authors: Gan Zhuofei , Feng Hongtao , Chen Liyang , Min Siyi , Liang Chuwei , Xu Menghong , Jiang Zijie , Sun Zhao , Sun Chuying , Cui Dehu , Li Wen-Di 
Published: April 2022

AbstractFunctional nanostructures are exploited for a variety of cutting-edge fields including plasmonics, metasurfaces, and biosensors, just to name a few. Some applications require nanostructures with uniform feature sizes while others rely on spatially varying morphologies. However, fine manipulation of the feature size over a large area remains a substantial challenge because mainstream approaches to precise nanopatterning are based on low-throughput pixel-by-pixel processing, such as those utilizing focused beams of photons, electrons, or ions. In this work, we provide a solution toward wafer-scale, arbitrary modulation of feature size distribution by introducing a lithographic portfolio combining interference lithography (IL) and grayscale-patterned secondary exposure (SE). Employed after the high-throughput IL, a SE with patterned intensity distribution spatially modulates the dimensions of photoresist nanostructures. Based on this approach, we successfully fabricated 4-inch wafer-scale nanogratings with uniform linewidths of <5% variation, using grayscale-patterned SE to compensate for the linewidth difference caused by the Gaussian distribution of the laser beams in the IL. Besides, we also demonstrated a wafer-scale structural color painting by spatially modulating the filling ratio to achieve gradient grayscale color using SE.
Variation of Antigen 43 self-association modulates bacterial compacting within aggregates and biofilms
Authors: Vo Julieanne L. , Ortiz Gabriela C. Martínez , Totsika Makrina , Lo Alvin W. , Hancock Steven J. , Whitten Andrew E. , Hor Lilian , Peters Kate M. , Ageorges Valentin , Caccia Nelly , Desvaux Mickaël , Schembri Mark A. , Paxman Jason J. , Heras Begoña 
Published: April 2022

AbstractThe formation of aggregates and biofilms enhances bacterial colonisation and infection progression by affording protection from antibiotics and host immune factors. Despite these advantages there is a trade-off, whereby bacterial dissemination is reduced. As such, biofilm development needs to be controlled to suit adaptation to different environments. Here we investigate members from one of largest groups of bacterial adhesins, the autotransporters, for their critical role in the assembly of bacterial aggregates and biofilms. We describe the structural and functional characterisation of autotransporter Ag43 variants from different Escherichia coli pathotypes. We show that specific interactions between amino acids on the contacting interfaces of adjacent Ag43 proteins drives a common mode of trans-association that leads to cell clumping. Furthermore, subtle variation of these interactions alters aggregation kinetics and the degree of compacting within cell clusters. Together, our structure–function investigation reveals an underlying molecular basis for variations in the density of bacterial communities.
BNT162b2-elicited neutralization of Delta plus, Lambda, Mu, B.1.1.519, and Theta SARS-CoV-2 variants
Authors: Liu Jianying , Liu Yang , Xia Hongjie , Zou Jing , Weaver Scott C. , Swanson Kena A. , Cai Hui , Cutler Mark , Cooper David , Muik Alexander , Jansen Kathrin U. , Sahin Ugur , Xie Xuping , Dormitzer Philip R. , Shi Pei-Yong 
Published: April 2022

AbstractBNT162b2-elicited human sera neutralize the currently dominant Delta SARS-CoV-2 variant. Here, we report the ability of 20 human sera, drawn 2 or 4 weeks after two doses of BNT162b2, to neutralize USA-WA1/2020 SARS-CoV-2 bearing variant spikes from Delta plus (Delta-AY.1, Delta-AY.2), Delta-∆144 (Delta with the Y144 deletion of the Alpha variant), Lambda, B.1.1.519, Theta, and Mu lineage viruses. Geometric mean plaque reduction neutralization titers against Delta-AY.1, Delta-AY.2, and Mu viruses are slightly lower than against USA-WA1/2020, but all sera neutralize the variant viruses to titers of ≥80, and neutralization titers against the Delta-∆144, Lambda, B.1.1.519 and Theta variants not significantly reduced relative to those against USA-WA1/2020. The susceptibility of Delta plus, Lambda, B.1.1.519, Theta, Mu, and other variants to neutralization by the sera indicates that antigenic change has not led to virus escape from vaccine-elicited neutralizing antibodies and supports ongoing mass immunization with BNT162b2 to control the variants and to minimize the emergence of new variants.
Recipes of Ancient Egyptian kohls more diverse than previously thought
Authors: Riesmeier Marabel , Keute Jennifer , Veall Margaret-Ashley , Borschneck Daniel , Stevenson Alice , Garnett Anna , Williams Alice , Ragan Maria , Devièse Thibaut 
Published: April 2022

AbstractKohl, a dark eye cosmetic, is a well-known part of Ancient Egyptian culture. Modern chemical analyses of kohls have largely found lead-based inorganic constituents, whereas earlier studies argued for a much broader range of constituents. Furthermore, organic materials in kohls remain severely understudied. This raises questions regarding the true diversity of materials and recipes used to produce kohls. We analysed the contents of 11 kohl containers from the Petrie Museum collection in London. The objects selected cover a broad range of times and locations in Egypt. Our multi-analytical approach allowed us to characterise both inorganic and organic components. Our data show that inorganic ingredients in kohl recipes are not only lead-based but also manganese- and silicon-based. Our analyses also revealed that organic ingredients derived from both plant and animal sources were commonly used in kohl recipes and sometimes even represent the main constituent. All these findings point towards more varied recipes than initially thought and significantly shift our understanding of Ancient Egyptian kohls.