bluuebunny/crossref_metadata_2025_split huggingface dataset:
Persistent impact of Fukushima decontamination on soil erosion and suspended sediment
Authors: Bin Feng  , Onda Yuichi , Wakiyama Yoshifumi , Taniguchi Keisuke , Hashimoto Asahi , Zhang Yupan 
Published: July 2022

AbstractIn Fukushima, government-led decontamination reduced radiation risk and recovered137Cs-contaminated soil, yet its long-term downstream impacts remain unclear. Here we provide the comprehensive decontamination impact assessment from 2013 to 2018 using governmental decontamination data, high-resolution satellite images and concurrent river monitoring results. We find that regional erosion potential intensified during decontamination (2013–2016) but decreased in the subsequent revegetation stage. Compared with 2013, suspended sediment at the 1-year-flood discharge increased by 237.1% in 2016. A mixing model suggests that the gradually increasing sediment from decontaminated regions caused a rapid particulate137Cs decline, whereas no significant changes in downstream discharge-normalized137Cs flux were observed after decontamination. Our findings demonstrate that upstream decontamination caused persistently excessive suspended sediment loads downstream, though with reduced137Cs concentration, and that rapid vegetation recovery can shorten the duration of such unsustainable impacts. Future upstream remediation should thus consider pre-assessing local natural restoration and preparing appropriate revegetation measures in remediated regions for downstream sustainability.
A computational approach to quantifying miscounting of radiation-induced double-strand break immunofluorescent foci
Authors: Ingram Samuel P. , Warmenhoven John-William , Henthorn Nicholas T. , Chadiwck Amy L. , Santina Elham E. , McMahon Stephen J. , Schuemann Jan , Kirkby Norman F. , Mackay Ranald I. , Kirkby Karen J. , Merchant Michael J. 
Published: July 2022

AbstractImmunofluorescent tagging of DNA double-strand break (DSB) markers, such as γ-H2AX and other DSB repair proteins, are powerful tools in understanding biological consequences following irradiation. However, whilst the technique is widespread, there are many uncertainties related to its ability to resolve and reliably deduce the number of foci when counting using microscopy. We present a new tool for simulating radiation-induced foci in order to evaluate microscope performance within in silico immunofluorescent images. Simulations of the DSB distributions were generated using Monte Carlo track-structure simulation. For each DSB distribution, a corresponding DNA repair process was modelled and the un-repaired DSBs were recorded at several time points. Corresponding microscopy images for both a DSB and (γ-H2AX) fluorescent marker were generated and compared for different microscopes, radiation types and doses. Statistically significant differences in miscounting were found across most of the tested scenarios. These inconsistencies were propagated through to repair kinetics where there was a perceived change between radiation-types. These changes did not reflect the underlying repair rate and were caused by inconsistencies in foci counting. We conclude that these underlying uncertainties must be considered when analysing images of DNA damage markers to ensure differences observed are real and are not caused by non-systematic miscounting.
Universal stripe order as a precursor of the superconducting phase in pressurized BaFe2Se3 Spin Ladder
Authors: Zheng Wen-Gen , Balédent Victor , Colin Claire V. , Damay Françoise , Rueff Jean-Pascal , Forget Anne , Colson Dorothée , Foury-Leylekian Pascale 
Published: July 2022

AbstractIt has been recently observed that a superconducting phase emerges under pressure in the Fe-based spin-ladders BaFe2X3 (X = S, Se). The low dimensionality of the Fe spin-ladders, which simplifies the elaboration of theoretical models, should help to understand the mechanism of superconductivity. We investigate here the frontier between magnetic and superconducting (SC) phases in BaFe2Se3 by performing challenging powder neutron diffraction (PND) and Fe Kβ x-ray emission spectroscopy (XES) under high pressure. We show that the ambient pressure ground state with a block-like magnetic order is destabilized under pressure. A pressure-induced antiferromagnetic stripe-like spin order, similar to the magnetic order of the parent superconductor BaFe2S3, is observed above 3-4 GPa. Our discovery shows that the stripe magnetic order is a key phase close to the SC dome and its particular magnetic fluctuations could be involved in the stabilization of superconductivity in Fe-based spin ladders.
The relationship between the gut microbiome and the risk of respiratory infections among newborns
Authors: Moroishi Yuka , Gui Jiang , Hoen Anne G. , Morrison Hilary G. , Baker Emily R. , Nadeau Kari C. , Li Hongzhe , Li Zhigang , Madan Juliette C. , Karagas Margaret R. 
Published: July 2022

Abstract
Background
Emerging evidence points to a critical role of the developing gut microbiome in immune maturation and infant health; however, prospective studies are lacking.

Methods
We examined the occurrence of infections and associated symptoms during the first year of life in relation to the infant gut microbiome at six weeks of age using bacterial 16S rRNA V4-V5 gene sequencing (N = 465) and shotgun metagenomics (N = 185). We used generalized estimating equations to assess the associations between longitudinal outcomes and 16S alpha diversity and metagenomics species.

Results
Here we show higher infant gut microbiota alpha diversity was associated with an increased risk of infections or respiratory symptoms treated with a prescription medicine, and specifically upper respiratory tract infections. Among vaginally delivered infants, a higher alpha diversity was associated with an increased risk of all-cause wheezing treated with a prescription medicine and diarrhea involving a visit to a health care provider. Positive associations were specifically observed with Veillonella species among all deliveries and Haemophilus influenzae among cesarean-delivered infants.

Conclusion
Our findings suggest that intestinal microbial diversity and the relative abundance of key taxa in early infancy may influence susceptibility to respiratory infection, wheezing, and diarrhea.
Classifying Interpreter Behaviors During Aphasia Assessments: Survey Results and Checklist Development
Authors: Babbitt Edna M. , Ginsberg-Jaeckle Matthew , Larkin Elissa , Escarcega Sylvia , Cherney Leora R. 
Published: July 2022

Purpose:
It is known that interpreter-mediated aphasia assessments may not provide the linguistic information that speech-language pathologists (SLPs) need to provide accurate diagnoses and determine treatment goals. The purpose of our study was to understand the perceptions of SLPs and interpreters who collaborate in a medical setting and to develop a checklist to categorize and quantify the errors interpreters make. Interpreter training may lead to unintentional errors that impact the information the SLP gains from the assessment session.

Method:
In Phase 1 of the study, 38 hospital SLPs and 26 interpreters responded to survey questions about their experiences working with the other discipline. In Phase 2, eight Spanish-speaking interpreters and two Spanish-speaking participants with fluent aphasia took part in a standardized interpreter-mediated aphasia assessment. A bilingual SLP and a Spanish-speaking interpreter analyzed and coded the assessments for errors in the interpreters’ behaviors.

Results:
Results from the survey demonstrated that both SLPs and interpreters would like the interpreters to have more education regarding the diagnosis of aphasia and an understanding of the SLP's goals during an aphasia assessment. A lack of time was considered the primary hindrance to educating interpreters during an evaluation session. The checklist included interpreter behaviors that could significantly impact the SLP’s ability to diagnose aphasia: omission of speech/language information, meaning errors, and cueing. Positive behaviors noted were calling attention to patient error and pointing out potential confusing items.

Conclusions:
Education for both disciplines will enhance the accuracy of interpreter-mediated aphasia assessments. A checklist tool with specific examples of errors may be useful in educating not only experienced interpreters and SLPs but also students in both disciplines.
Implementation of a holistic digital twin solution for design prototyping and virtual commissioning
Authors: Ugarte Querejeta Miriam , Illarramendi Rezabal Miren , Unamuno Gorka , Bellanco Jose Luis , Ugalde Eneko , Valor Valor Antonio 
Published: July 2022

AbstractIndustry 4.0 has ushered in a new era of digital manufacturing and in this context, digital twins are considered as the next wave of simulation technologies. The development and commissioning of Cyber Physical Systems (CPS) is taking advantage of these technologies to improve product quality while reducing costs and time to market. However, existing practices of virtual design prototyping and commissioning require the cooperation of domain specific engineering fields. This involves considerable effort as development is mostly carried out in different departments using vendor specific simulation tools. There is still no integrated simulation environment commercially available, in which all engineering disciplines can work collaboratively. This presents a major challenge when interlinking virtual models with their physical counterparts. This paper therefore addresses these challenges by implementing a holistic and vendor agnostic digital twin solution for design prototyping and commissioning practices. The solution was tested in an industrial use case, in which the digital twin effectively prototyped cost‐efficient solar assembly lines.
Adaptive control and management of multiple nano‐grids in an islanded dc microgrid system
Authors: Abadi Seyyed Ali Ghorashi Khalil , Khalili Tohid , Habibi Seyed Iman , Bidram Ali , Guerrero Joseph M. 
Published: July 2022

AbstractThis paper presents an adaptive control framework for the flexible and effective management and control of clustered DC nano‐grids (NGs) in an islanded DC microgrid system. It is assumed that each NG contains a photovoltaic (PV) system, a battery energy storage system (BESS), local loads, and a gateway (GW) module. Each NG has a hierarchical control system consisting of a decision‐making module and low‐level controllers. The decision‐making module ensures various desirable features including plug‐and‐play operation of NGs, maximum utilization of PV power generations, and avoiding state of charge (SoC) violation of batteries. Moreover, an adaptive model predictive control (AMPC) strategy is proposed to regulate the voltage of the NG local DC buses in the presence of non‐linear loads. This approach improves the performance of the NG voltage control system and reduces the current ripples of BESSs, thereby enhancing the lifetime of the batteries. In addition, a smart switching consensus‐based control strategy is designed that provides flexible power sharing among the NGs to balance the SoC of BESSs in which the BESSs altogether imitate the behaviour of a single cloud energy storage system (ESS). Finally, the performance of the proposed control system is verified by simulating the DC microgrid in MATLAB/Simulink.
Modelling on thermal‐fluid field in SF6 insulated high voltage direct current bushing with its influence on electric field distribution and metal particle motion
Authors: Yang Xiao , Zhang Yi , Yang Zhuodong , Dong Hao , Li Chengrong , Qi Bo , Lu Licheng , Sun Caixin 
Published: July 2022

AbstractThe insulation performance of SF6 insulated high voltage direct current apparatus are often analysed in a pure electric field or electro‐thermal coupled field while the fluid behaviour of SF6 gas flow is often ignored. However, frequent flashover along the support insulators inside the SF6 insulated wall bushing indicates that the fluid characteristics of SF6 may have considerable influence on the interior insulation performance of the bushing. This paper has simulated the thermo‐fluid coupled field in the SF6 insulated wall bushing based on the finite element method model. The result shows that buoyant flow of SF6 has evident influence on the temperature distribution in the bushing. On this basis, the effect of the thermo‐fluid field on the electric field distribution along the insulator as well as on the motion behaviour of the metallic particles is analysed. Furthermore, the effect of different thermal boundary conditions on analysis of the multi‐physics field in the bushing is discussed and the most suitable one for simulation and experiment is suggested. Comparisons are made between different supporting structures and modification advices are proposed. This paper can serve as a good reference for subsequent research studies on SF6 insulated apparatus in which the temperature gradient or the motion of the micro‐sized metallic particles shall be considered.
Fast bilateral complementary network for deep learning compressed sensing image reconstruction
Authors: Yuan Guo , Jinlin Jiang , Wei Chen 
Published: July 2022

AbstractGreat progress has been made in deep learning image reconstruction, but there are still problems that need to be improved, such as the extraction of image texture details and the improvement of the overall contour quality of the image, and how to reduce the transmission cost is also the focus of research. This paper proposes a fast bilateral network suitable for both grayscale and color image reconstruction. In the compression network, bilinear interpolation, fully connected layer and convolutional neural network are selected for image compression. The reconstruction network is divided into two parts: the texture path and contour path, the former reconstructs the remaining texture details of the image, and the latter performs deep contour reconstruction. The bilateral complementary residual connection method transfers the texture information to the contour path and improves the contour quality, and the improvement of the contour quality can improve the learning of texture details. Through a large number of data tests, it shows that the network in this paper has achieved comparable or better results in terms of image reconstruction quality, time‐consuming and robustness against noise. It solves the problem of memory consumption for storing a large number of images, and also provides convenience for shortening space and time during image transmission.
GTFD‐XTNet: A tabular learning‐based ensemble approach for short‐term prediction of photovoltaic power
Authors: Wang Qinglun , Chai Songjian , Liu Yun , Wang Guibin 
Published: July 2022

AbstractGreenhouse effect has led to the deterioration of the global climate, so the development of renewable energy is extremely urgent. Photovoltaic (PV) generation has attracted much attention in recent years, but it is limited by the uncertain and intermittent nature, which needs promising PV prediction models. In this study, we propose a novel hybrid deep learning model based on the TabNet, extreme gradient boosting (XGBoost) and linear regression, which is motivated by the ensemble and residual ideas. The models of XGBoost and TabNet are fitted simultaneously based on numeric weather prediction (NWP) information. We adopt the linear regression to combine the results from both TabNet and XGBoost to render the final estimates through ResNet approaches. Besides, the gradient boosting decision tree (GBDT) is incorporated for redundant feature reduction and important feature selection. Meanwhile, the general time features difference (GTFD) is also developed in this work to augment the original feature space and to mine the implicit temporal relationships among features. The proposed model is validated in real‐life PV data and the experimental results show that the GTFD‐XTNet model outperforms the state‐of‐the‐art forecasting models in the PV field.
Semi-supervised standardized detection of extrasolar planets
Authors: Sulis S. , Mary D. , Bigot L. , Deleuil M. 
Published: July 2022

Context. The detection of small exoplanets with the radial velocity (RV) technique is limited by various poorly known noise sources of instrumental and stellar origin. As a consequence, current detection techniques often fail to provide reliable estimates of the significance levels of detection tests in terms of false-alarm rates orp-values.Aims. We designed an RV detection procedure that provides reliablep-value estimates while accounting for the various noise sources typically affecting RV data. The method is able to incorporate ancillary information about the noise (e.g., stellar activity indicators) and specific data- or context-driven data (e.g. instrumental measurements, magnetohydrodynamical simulations of stellar convection, and simulations of meridional flows or magnetic flux emergence).Methods. The detection part of the procedure uses a detection test that is applied to a standardized periodogram. Standardization allows an autocalibration of the noise sources with partially unknown statistics (algorithm 1). The estimation of thep-value of the test output is based on dedicated Monte Carlo simulations that allow handling unknown parameters (algorithm 2). The procedure is versatile in the sense that the specific pair (periodogram and test) is chosen by the user. Ancillary or context-driven data can be used if available.Results. We demonstrate by extensive numerical experiments on synthetic and real RV data from the Sun andαCenB that the proposed method reliably allows estimating thep-values. The method also provides a way to evaluate the dependence of the estimatedp-values that are attributed to a reported detection on modeling errors. It is a critical point for RV planet detection at low signal-to-noise ratio to evaluate this dependence. The python algorithms developed in this work are available on GitHub.Conclusions. Accurate estimation ofp-values when unknown parameters are involved in the detection process is an important but only recently addressed question in the field of RV detection. Although this work presents a method to do this, the statistical literature discussed in this paper may trigger the development of other strategies.
Vorbereitung auf Anschläge mit hochtoxischen Substanzen im
öffentlichen Raum
Authors: Socher Martin , Zilker Thomas , Fromme Hermann , Wildner Manfred 
Published: July 2022

ZusammenfassungDer Einsatz von chemischen Stoffen in terroristischen Szenarien ist nach den
bekannt gewordenen Ereignissen der letzten Jahre überall und
insbesondere auch in der westlichen Welt zu befürchten. Zum Schutz der
Zivilbevölkerungen im Ernstfall ist eine möglichst schnelle und
verlässliche Erkennung des Vergiftungsbildes (Toxidrom) durch
Fortbildung der Akteure und eine Versorgung mit notwendigen Rettungsmitteln
(Antidota) in vorbereiteten Einrichtungen essentiell. In einem
Kompetenz-Netzwerk mit speziellen Zuständigkeiten kommt auch
Ärztinnen und Ärzten des Öffentlichen
Gesundheitsdienstes (ÖGD) für den Fall eines chemischen
Anschlags mit terroristischer Motivation in der Kommunikation mit
Entscheidungsträgern und der Öffentlichkeit absehbar eine
tragende Rolle zu.
Downregulation of lncRNA ASMTL-AS1 in Epithelial Ovarian Cancer Correlates with Worse Prognosis and Cancer Progression
Authors: Xu Hui , Tang Yan , Liu Lu , Yan Jie , Qin Li 
Published: July 2022

AbstractGiven the characters of “Silent killer”, epithelial ovarian cancer (EOC) usually suffered late diagnosis and poor prognosis. Therefore, this study aimed to explore the prognostic significance of ASMTL-AS1 in EOC and investigated the effect of lncRNA ASMTL-AS1 dysregulation on tumor cellular function. ASMTL-AS1 expression was analyzed in 133 EOC tissues and five kinds of cell lines by RT-qPCR. The expression of ASMTL-AS1 was tested for correlation with clinical data using the chi-square test and clinical follow-up using Kaplan-Meier method with log-rank test. Further, the prognostic parameters in predicting EOC overall survival were assessed by using multivariate Cox proportional hazards analysis. In vitro assays, including MTT assay and transwell assay, were conducted using EOC cell lines with overexpression of ASMTL-AS1. In tumorous tissues and cell lines, ASMTL-AS1 was lowly expressed compared with normal ones. This downregulation was associated with the advanced FIGO stage, positive ascites cytology, and lymph node. In particular, low levels of ASMTL-AS1 were revealed to have a high prognostic impact on EOC. ASMTL-AS1 overexpression strongly decreased cell proliferation, migration, and invasion in vitro partly by moderating miR-1228-3p. This study demonstrates a significant role for lowly expressed ASMTL-AS1 in EOC allowing for the prediction of prognosis for EOC. Considering that ASMTL-AS1 is strongly involved in cell growth and invasion, ASMTL-AS1 may be a promising marker for EOC prognosis and therapy
Photoredox-Mediated Desulfonylative Radical Reactions: An Excellent Approach Towards C–C and C–Heteroatom Bond Formation
Authors: Paul Biprajit , Paul Hrishikesh , Chatterjee Indranil 
Published: July 2022

AbstractIn recent times, desulfonylative radical-cross-coupling (RCC) has come to the forefront in synthetic organic, bio, and material chemistry as a powerful strategy to form C–C and C–heteroatom bonds. Diverse functionalization through metal- and photoredox-catalyzed desulfonylation reactions has attracted the scientific community due to the mild reaction conditions, wide functional group tolerance, and excellent synthetic efficacy. In this review, we have highlighted photoredox-mediated desulfonylation reactions developed since 2000. This review will summarize the newly reported methodologies, with particular emphasis on their mechanistic aspects and selectivity issues which have paved a new way towards sustainable C–C and C–X (X = H or heteroatom) bond formation.1	Introduction2	Photoredox-Catalyzed C–C Bond Formation2.1	Aryl Sulfones as Radical Precursor2.2	Reactions of Allyl Sulfones3	Photoredox-Catalyzed C–Heteroatom Bond Formation4	Conclusion
COVID-19 Associated Mucormycosis with Newly Diagnosed Diabetes Mellitus in Young Males – A Tertiary Care Experience
Authors: Kapoor Sahil , Saidha Poonam Kumar , Gupta Ayushi , Saini Urvi , Satya Sneha 
Published: July 2022

Abstract
Introduction Patients with a history of or active COVID-19 infection are predisposed to the development of opportunist bacterial and fungal infections. A rising incidence of a rare occurring fungal infection earlier, called mucormycosis, has been reported in abundance across the globe since March 2021, especially in India just as the second wave of COVID-19 began, caused by the trifecta of hyperglycemia (new-onset or exacerbation of pre-existing diabetes), oxygen therapy (invasive or noninvasive ventilation), and prolonged intake of steroids.
Objective The present study aimed at assessing the prevalence of post-COVID mucormycosis in males of younger age group and spread of rhino-orbital-cerebral mucormycosis (ROCM).
Methods A case-control study was performed over a period of 3 months among 60 male patients with confirmed diagnosis of mucormycosis. Individuals < 40 years old were included in the case group (n = 30), while those > 40 years old were included as controls (n = 30). Disease spread was assessed in three types of ROCM, that is, rhinomaxillary, rhino-orbital, and rhino-orbito-cerebral mucormycosis.
Results In the control group, the mean age was 48.47 years old, the mean HbA1c was 10.62 ± 1.88%, with most of them suffering from rhino-orbital mucormycosis. In the case group, the mean age was 31.57 years old, with a mean HbA1c of 10.11 ± 2.46%, and most patients had rhinomaxillary mucormycosis. The duration of steroid intake and mode of oxygen therapy were found to be significant in the severity of ROCM.
Conclusion Rising cases of post-COVID mucormycosis have brought to light the fatal consequences of prolonged use of steroids and oxygen therapy towards the development and spread of ROCM among young and middle-aged males.