bluuebunny/crossref_metadata_2025_split huggingface dataset:
A high-efficiency programmable modulator for extreme ultraviolet light with nanometre feature size based on an electronic phase transition
Authors: Vaskivskyi Igor , Mraz Anze , Venturini Rok , Jecl Gregor , Vaskivskyi Yevhenii , Mincigrucci Riccardo , Foglia Laura , De Angelis Dario , Pelli-Cresi Jacopo-Stefano , Paltanin Ettore , Fainozzi Danny , Bencivenga Filippo , Masciovecchio Claudio , Mihailovic Dragan 
Published: February 2024

AbstractThe absence of efficient light modulators for extreme ultraviolet (EUV) and X-ray photons considerably limits their real-life application, particularly when even slight complexity of the beam patterns is required. Here we report on a novel approach to reversible imprinting of a holographic mask in an electronic Wigner crystal material with a sub-90-nm feature size. The structure is imprinted on a sub-picosecond timescale using EUV laser pulses, and acts as a high-efficiency diffraction grating that deflects EUV or soft X-ray light. The imprinted nanostructure is stable after the removal of the exciting beams at low temperatures, but can be easily erased by a single heating beam. Modelling shows that the efficiency of the device can exceed 1%, approaching state-of-the-art etched gratings, but with the benefit of being programmable and tunable over a large range of wavelengths. The observed effect is based on the rapid change of lattice constant upon transition between metastable electronically ordered phases in a layered transition metal dichalcogenide. The proposed approach is potentially useful for creating tunable light modulators in the EUV and soft X-ray spectral ranges.
Evaluation of antimicrobial susceptibility tests for Acinetobacter and Pseudomonas species using disks containing a high dose of meropenem
Authors: Endo Shoichiro , Tada Tatsuya , Oshiro Satoshi , Hishinuma Tomomi , Tohya Mari , Watanabe Shin , Sekiguchi Jun-Ichiro , Abe Masaki , Nakada Koji , Kirikae Teruo 
Published: February 2024

AbstractThe emergence and dissemination of carbapenem-resistant species of Acinetobacter and Pseudomonas have become a serious health concern. Routine antimicrobial disk susceptibility tests in clinical laboratories cannot distinguish between isolates that are highly carbapenem-resistant and those that are moderately carbapenem-resistant. The present study describes antimicrobial susceptibility tests using disks containing high doses (1000 μg) of meropenem. The diameters of inhibition zones were significantly negatively correlated with the MICs of Pseudomonas and Acinetobacter species for meropenem (R2: 0.93 and 0.91, respectively) and imipenem (R2: 0.75 and 0.84, respectively). Double disk synergy tests using clavulanic acid or sodium mercaptoacetate can detect ESBL or MBL producers. Susceptibility tests using disks containing high doses of meropenem can easily detect highly carbapenem-resistant isolates in a quantitative manner. These disks may be useful in bacteriological laboratories because of their technical ease, stability, and relatively low cost.
Detection, differentiation and localization of replay attack and false data injection attack based on random matrix
Authors: Shen Yuehao , Qin Zhijun 
Published: February 2024

AbstractReplay attack and false data injection attack (FDIA) are two common types of cyber-attacks against supervisory control and data acquisition systems, aiming to disrupt the normal operation of the power system by falsifying meter measurements. In this paper, we proposed a systematic methodology to defend hybrid attack with both replay attack and FDIA. Specifically, we propose a detection method applying random matrix theory to: (1) detect the hybrid attack on static state estimation, and (2) distinguish FDIA from replay attack as well as localize falsified measurements. Firstly, short-term forecast on load and renewable power generation is conducted to obtain the predicted measurements. Secondly, random variables are calculated by differentiating the forecasting measurements and real-time measurements. A random matrix is consequently constructed with the above random variables. Thirdly, hybrid attacks are detected by the changes of the linear eigenvalue statistics of the random matrix obtained by the sliding time window. More importantly, a novel multi-label classifier to distinguish replay attack from FDIA is designed to localize FDIA by combining SVD decomposition and eigenvalue analysis with convolutional neural network (SVD-CNN). Finally, comprehensive simulations on the IEEE 14-bus system and IEEE 57-bus system are provided to validate the performance of the proposed method. It is shown that the proposed detection method has strong detection ability by filtering measurement noise. Moreover, the proposed SVD-CNN improves the accuracy in FDIA localization.
Identification of a novel macrophage-related prognostic signature in colorectal cancer
Authors: Lin Dongfa , Zheng Tingjin , Huang Shangyuan , Liu Rui , Guan Shuwen , Zhang Zhishan 
Published: February 2024

AbstractColorectal cancer (CRC) is one of the most prevalent and deadliest illnesses all around the world. Growing proofs demonstrate that tumor-associated macrophages (TAMs) are of critical importance in CRC pathogenesis, but their mechanisms remain yet unknown. The current research was designed to recognize underlying biomarkers associated with TAMs in CRC. We screened macrophage-related gene modules through WGCNA, selected hub genes utilizing the LASSO algorithm and COX regression, and established a model. External validation was performed by expression analysis using datasets GSE14333, GSE74602, and GSE87211. After validating the bioinformatics results using real-time quantitative reverse transcription PCR, we identified SPP1, C5AR1, MMP3, TIMP1, ADAM8 as potential biomarkers associated with macrophages in CRC.
Assessing depression and anxiety among young adults after epidemics and pandemics: a cross-sectional study in Anyang, China
Authors: Wang Guoqing , Sabran Kamal 
Published: February 2024

AbstractIt has been well established that pandemics affect mental health, yet few studies have been conducted in China regarding this issue following COVID-19's gradual decline and the recent H1N1 influenza outbreak. In response to this research gap, this investigation explores the risk factors linked to depression and anxiety symptoms among young adults in this specific setting. Data were collected via an online cross-sectional survey of 385 young adults living in Anyang city, Henan Province, China, between June 15 and July 21, 2023. Respondents were assessed for anxiety and depression symptoms using the GAD-7 and PHQ-9 scales. Additionally, to examine the factors that influenced the study, we utilized an ordered logit regression model. Results revealed depression and anxiety prevalence rates of 33.3% and 21.6%, respectively. Several factors were found to increase the likelihood of depression and anxiety among young adults, including gender, age, education status, marital status, and attitudes towards epidemics. Participants' concerns about pandemics and viruses had a significant negative impact relationship on depression levels. Women report moderate to severe anxiety more frequently than men. An evident correlation can be observed between the educational attainment level and the influence of depression and anxiety.
Few‐shot object detection based on global context and implicit knowledge decoupled head
Authors: Li Shiyue , Yang Guan , Liu Xiaoming , Huang Kekun , Liu Yang 
Published: February 2024

AbstractThe acquisition cycle of remote sensing images is slow, and the labelling process encounters challenges, which have become prominent with the rapid development of remote sensing image object detection research. Therefore, this article provides a way to make the model better capture the diversity and contextual relationships in the data, and solve this problem by more than just data augmentation. Specifically, this method is a few‐shot object detection method for remote sensing based on global context combined with implicit knowledge decoupled head (GC‐IKDH). This method first uses a segmentation strategy to convert high‐resolution images into low‐resolution images and expands the sample size through a generative model. Secondly, GC attention is introduced to generate a GC vector by weighting and averaging the information of each position in the input sequence, which helps the model better understand the semantics of the input sequence. Finally, an IKDH is added to improve the model head, which is used to learn specific features in the data so that the model can better handle the diversity in the data. Experimental results show that GC attention and IKDH boosting provide a good performance boost to the baseline model. Compared with other few‐shot samples, this method achieves state‐of‐the‐art performance under different shot settings and highly competitive results on two benchmark datasets (NWPU VHR‐10 and DIOR).
A novel Wasserstein generative adversarial network for stochastic wind power output scenario generation
Authors: Zhang Xiurong , Li Daoliang , Fu Xueqian 
Published: February 2024

AbstractA novel Wasserstein generative adversarial network (WGAN) is proposed for stochastic wind power output scenario generation. Wasserstein distance with gradient penalty adapts to the gradient vanishing problem that is easy to occur in the new energy generation scenario. This model has better robustness and generalization ability than the traditional generative adversarial network. WGAN is optimized to simulate ideal wind power scenarios. The generated data are measured by cumulative distribution function (CDF) and continuously ranked probability score to evaluate the performance of the proposed model. Compared with the probability models, the proposed model is data‐driven, that is, it can simulate wind power scenarios based on historical samples rather than probability hypothesis, and it can independently learn the space‐time correlation of wind power generation in different locations. Experiments show that the CDF curve of data generated by the proposed WGAN is highly coincident with that of real data.
Hybrid model for wind power estimation based on BIGRU network and error discrimination‐correction
Authors: Li Yalong , Jin Ye , Dan Yangqing , Zha Wenting 
Published: February 2024

AbstractAccurate estimation of wind power is essential for predicting and maintaining the power balance in the power system. This paper proposes a novel approach to enhance the accuracy of wind power estimation through a hybrid model integrating neural networks and error discrimination‐correction techniques. In order to improve the accuracy of estimation, a bidirectional gating recurrent unit is developed, forming an initial wind power estimation curve through training. Additionally, a sequential model‐based algorithmic configuration optimizes bidirectional gating recurrent unit's network hyperparameters. To tackle estimation errors, a multi‐layer perceptron combined with sequential model‐based algorithmic configuration is employed to create a classification model that automatically discerns the quality of estimates. Subsequently, an innovative correction model, based on grey relevancy degree and relevancy errors, is devised to rectify erroneous estimates. The final estimates result from a summation of the initial estimates and the values derived from error corrections. By analysing the real data from a wind farm in northwest China, a simulation test validates the proposed hybrid model. Experimental results demonstrate a substantial improvement in modelling accuracy when compared to the initial model.
Integrated control strategy of BESS in primary frequency modulation considering SOC recovery
Authors: Liu Yiqi , Chen Meiru , Xie Bing , Ban Mingfei 
Published: February 2024

AbstractThis paper proposes a comprehensive control strategy for a battery energy storage system (BESS) participating in primary frequency modulation (FM) while considering the state of charge (SOC) recovery. On the one hand, when the frequency fluctuations are outside the dead zone of the FM, variable coefficient virtual sag control and variable coefficient virtual inertia control are coordinated for more accurate primary FM. Also, an assisted FM strategy is proposed, where the temporal alignment of assisted FM is determined by the regional segmentation of the frequency deviation and SOC, and it enables the BESS to recover SOC concurrently during its involvement in primary FM. On the other hand, when the frequency fluctuations are inside the dead zone of the FM, typical S‐type functions are deployed to dynamically establish the mutual constraints relationships of SOC recovery demand coefficient and frequency deviation. Subsequently, the recovery control coefficients are derived, and accordingly, a SOC recovery strategy is proposed. Finally, simulation results verify the efficacy of the proposed control strategy in the grid primary FM system and demonstrate that the strategy expedites the SOC recovery and concurrently diminishes the conventional unit output.
Attenuation proxy hidden in surface brightness – colour diagrams
Authors: Małek K. , Junais  , Pollo A. , Boquien M. , Buat V. , Salim S. , Brough S. , Demarco R. , Graham A. W. , Hamed M. , Mullaney J. R. , Romano M. , Sifón C. , Aravena M. , Benavides J. A. , Busà I. , Donevski D. , Dorey O. , Hernandez-Toledo H. M. , Nanni A. , Pearson W. J. , Pistis F. , Ragusa R. , Riccio G. , Román J. 
Published: February 2024

Aims. Large future sky surveys, such as the Legacy Survey of Space and Time (LSST), will provide optical photometry for billions of objects. Reliable estimation of the physical properties of galaxies requires information about dust attenuation, which is usually derived from ultraviolet (UV) and infrared (IR) data. This paper aims to construct a proxy for the far-UV (FUV) attenuation (AFUVp) from the optical data alone, enabling the rapid estimation of the star formation rate (SFR) for galaxies that lack UV or IR data. This will accelerate and improve the estimation of key physical properties of billions of LSST–like observed galaxies (observed in the optical bands only).
Methods. To mimic LSST observations, we used the deep panchromatic optical coverage of the Sloan Digital Sky Survey (SDSS) Photometric Catalogue, Data Release 12, complemented by the estimated physical properties for the SDSS galaxies from the GALEX-SDSS-WISE Legacy Catalog (GSWLC) and inclination information obtained from the SDSS Data Release 7. We restricted our sample to the 0.025–0.1 spectroscopic redshift range and investigated relations among surface brightness, colours, and dust attenuation in the FUV range for star-forming galaxies obtained from the spectral energy distribution (SED).
Results. Dust attenuation is best correlated with colour measured between u and r bands (u − r) and the surface brightness in the u band (μu). We provide a dust attenuation proxy for galaxies on the star-forming main sequence. This relation can be used for the LSST or any other type of broadband optical survey. The mean ratio between the catalogue values of SFRs and those estimated using optical-only SDSS data with the AFUVp prior calculated as ΔSFR = log(SFRthis work/SFRGSWLC) is found to be less than 0.1 dex, while runs without priors result in an SFR overestimation larger than 0.3 dex. The presence or absence of the AFUVp has a negligible influence on the stellar mass (Mstar) estimation (with ΔMstar in the range from 0 to −0.15 dex).
Conclusions. We note that AFUVp is reliable for low-redshift main sequence galaxies. Forthcoming deep optical observations of the LSST Deep Drilling Fields, which also have multi-wavelength data, will enable one to calibrate the obtained relation for higher redshift galaxies and, possibly, extend the study towards other types of galaxies, such as early-type galaxies off the main sequence.
Shocks, clouds, and atomic outflows in active galactic nuclei hosting relativistic jets
Authors: Perucho Manel 
Published: February 2024

Context. A number of observations have revealed atomic and/or molecular lines in active galaxies hosting jets and outflows. Line widths indicate outward motions of hundreds to a few thousands of kilometers per second. They appear to be associated with the presence of radio emission in Gigahert-peaked spectrum (GPS) and/or compact steep spectrum (CSS) sources, with linear sizes of ≤10 kpc. Numerical simulations have shown that the bow shocks triggered by relativistic jets in their host galaxies drive ionization and turbulence in the interstellar medium (ISM). However, the presence of atomic lines requires rapid recombination of ionized gas, which appears challenging to explain from the physical conditions revealed thus far based on numerical simulations of powerful jets.
Aims. The aim of this paper is to provide a global framework to explain the presence of lines in terms of jet and shock evolution and to fix the parameter space where the atomic and molecular outflows might occur.
Methods. This parameter space is inspired by numerical simulations and basic analytical models of jet evolution as a background.
Results. Our results show that a plausible general explanation involves momentum transfer and heating to the interstellar medium gas by jet triggered shocks within the inner kiloparsecs. The presence of post-shock atomic gas is possible in the case of shocks interacting with dense clouds that remain relatively stable after the shock passage.
Conclusions. According to our results, current numerical simulations cannot reproduce the physical conditions to explain the presence of atomic and molecular outflows in young radio sources. However, I show that these outflows might occur in low-power jets at all scales and I predict a trend towards powerful jets showing lines at CSS scales, when clouds have cooled to recombination temperatures.
Reduzieren Vitamin C, Vitamin D und Zink die Prävalenz und die Schwere viraler Atemwegsinfekte?
Authors: Lauscher Josephine , Rubin Diana 
Published: February 2024

SummaryDie Rolle von Mikronährstoffen wie Vitamin C, Vitamin D oder Zink in der Prävention und Therapie von Erkältungskrankheiten wird seit Langem diskutiert. Die Evidenzlage hierzu ist gemischt, was der Heterogenität der Studienpopulationen, dem oftmals fehlenden Erregernachweis sowie der unterschiedlichen Dauer, Frequenz und Dosis der Mikronährstoffgabe geschuldet ist. Festgehalten werden kann, dass es sinnvoll ist, die Supplementation individuell an den Ernährungsstatus, an Grunderkrankungen und Laborparameter anzupassen. Ein Vitamin-D-Mangel sollte ausgeglichen werden. Von einer Vitamin-C-Supplementation profitieren insbesondere Personen, die unter hohem körperlichen Stress stehen, sowie jene mit Exposition gegenüber Menschen mit akuten Atemwegsinfektionen.
Maternal Gestational Diabetes Mellitus and Congenital Heart Disease
in Offspring: A Meta-Analysis
Authors: Liu Yun , Yue Lina , Chang Li 
Published: February 2024

AbstractMaternal diabetes has been related to an increased risk of congenital heart
disease (CHD) in offspring. However, inconsistent results were retrieved for
studies evaluating the association between gestational diabetes mellitus (GDM)
and CHD in offspring. We therefore performed a systematic review and
meta-analysis for comprehensive investigation. Observational studies were
identified by searching PubMed, Embase, and Web of Science according to the aim
of the meta-analysis. A randomized-effects model was used to pool the data by
incorporating the influence of potential heterogeneity. Twenty-three
observational studies, involving 46953078 mother-child pairs, were available for
the meta-analysis. Among them, 2131800 mothers were diagnosed as GDM and 214379
newborns had CHD. Overall, maternal GDM was associated with a higher incidence
of CHD in offspring [odds ratio (OR): 1.32, 95% confidence interval
(CI): 1.21 to 1.45, p<0.001; I2=62%]. Sensitivity
analysis limited to studies with adjustment of maternal age and other potential
confounding factors showed similar results (OR: 1.40, 95% CI: 1.30 to
1.51, p<0.001; I2=47%). Subgroup analysis suggested that
the association between maternal GDM and CHD in offspring was not significantly
affected by methods for diagnosis of GDM, methods for confirmation of CHD, or
study quality scores (p for subgroup difference all>0.05). Subsequent
analysis according to types of CHD showed that maternal GDM was associated with
higher risks of atrial septal defect, ventricular septal defect, and Tetralogy
of Fallot. Maternal GDM may be associated with a higher risk of CHD in
offspring.
Antivirale und viruzide Eigenschaften von ätherischen Ölen und ihren isolierten Verbindungen – Stand der präklinischen Forschung
Authors: Reichling Jürgen , Stange Rainer 
Published: February 2024

SummaryÄtherische Öle (ÄÖ) als Vielstoffgemische sowie einzelne chemisch charakterisierte Ätherisch-Öl-Verbindungen (ÄÖV) haben zahlreiche pharmakologische Wirkungen, wie antibakterielle, antimykotische, antivirale, entzündungshemmende, immunmodulatorische, antioxidative und wundheilungsfördernde. Auf der Grundlage ausgewählter wissenschaftlicher Arbeiten befasst sich die vorliegende Übersicht mit den potenziellen antiviralen und viruziden Aktivitäten von ÄÖ und ÄÖV gegen behüllte und unbehüllte Viren. Neuere In-vitro- und In-vivo-Studien haben gezeigt, dass verschiedene Arznei- und Aromapflanzen antiviral und viruzid wirkende ÄÖ und ÄÖV enthalten, die in der Lage sind, in verschiedenen Wirtszelllinien die Vermehrung von DNA- und RNA-Viren zu behindern, indem sie wichtige Schritte des viralen Infektions-/Replikationszyklus blockieren. In-vivo-Studien an Mäusen mit Viren als Atemwegserreger haben gezeigt, dass verschiedene ÄÖ und ÄÖV das Leben infizierter Tiere verlängern, Virustiter in Gehirn und Lungengewebe reduzieren und die Biosynthese von proinflammatorischen Zytokinen hemmen können. Neuere Arbeiten auf technologischem Gebiet konnten nachweisen, dass nanoverkapselte ÄÖ/ÄÖV eine vielversprechende Möglichkeit darstellen, um die chemische Stabilität, Wasserlöslichkeit, Bioverfügbarkeit und antivirale Wirkung von ÄÖ und ÄÖV zu verbessern.
Effect of Time-Limited Training on Endoscopic Submucosal Dissection in an Ex Vivo Porcine Stomach Model: A Prospective Randomized Controlled Study
Authors: Liu Xu , Shao Xiaodong , Shi Xiaodan , Kou Wenjing , Luo Yayuan , Bai Yanou 
Published: February 2024

Abstract
Introduction Endoscopic submucosal dissection (ESD) is the first choice for superficial tumor resection. There is no report on whether the training effect is affected by limiting the operation time of each ESD operation. This study aimed to prospectively evaluate the efficiency of time-limited ESD training by using an ex vivo porcine stomach model.
Methods ESD was performed in accordance with the standard procedure on ex vivo porcine stomach model. The time-limited group required each operation time to be controlled within 30 minutes, and the nonlimited group did not limit the operation time. The en bloc resection rate, surface area of the resected specimen, procedure speed, and perforation rate were compared in the two groups.
Results Compared with the en bloc resection rate in the time-limited group, that in the nonlimited group was significantly higher in ESD-1 and ESD-2. In each ESD procedure, the median resection area in the nonlimited group was significantly larger than that in the time-limited group. The difference in median procedure speed between the two groups in ESD-1 to ESD-4 did not reach significance in the statistical analysis. The speed of ESD-5 in the time-limited group was significantly higher than that of the nonlimited group. The perforation rate of the time-limited group was similar to that of the nonlimited group.
Conclusion Limiting the training time does not help the trainees to complete large resection of lesions and reduce the perforation rate, but it may help to improve the operation speed.