Miracle-dz/UniFAR-FTUs huggingface dataset:
Natural Deep Eutectic Solvent-Based Matrix Solid Phase Dispersion (MSPD) Extraction for Determination of Bioactive Compounds from Sandy Everlasting (Helichrysum arenarium L.): A Case of Stability Study

In the present study, vortex-assisted matrix solid-phase dispersion (VA-MSPD) extraction was used to isolate the major bioactive compounds from H. arenarium. To reduce the negative environmental impact of the conventionally used organic solvents, four different choline chloride-based natural deep eutectic solvents (NADES) were investigated as possible eluents. The most influential VA-MSPD extraction parameters: stationary phase (adsorbent), adsorbent/sample ratio, vortex time, and volume of extraction solvent were systematically optimized. Ultrasound-assisted extraction with 80% MeOH was used as the standard method for the comparison of results. The stability of the obtained extracts was studied over a period of 0 to 60 days at three different temperatures (−18 °C, 4 °C, and 25 °C). All extracts were evaluated both spectrophotometrically (determination of total phenolic content (TPC) and antioxidant activity by ABTS and FRAP assay) and chromatographically (HPLC-UV). NADES based on choline chloride and lactic acid (ChCl-LA) was selected as the most effective extractant, with a determined TPC value of its extract of 38.34 ± 0.09 mg GA/g DW (27% higher than the methanolic VA-MSPD extract) and high antioxidant activity. The content of individual phenolic compounds (chlorogenic acid, dicaffeoylquinic acid isomers, naringenin isomers, and chalcones) in the ChCl-LA extract, determined by HPLC-UV, was comparable to that of the conventionally obtained one. Moreover, the stabilization effect of ChCl-LA was confirmed for the studied compounds: chlorogenic acid, naringenin-4′-O-glucoside, tomoroside A, naringenin-5-O-glucoside, isosalipurposide, and naringenin. The optimum VA-MSPD conditions for the extraction of H. arenarium polyphenols were: florisil/sample ratio of 0.5/1, a vortex time of 2 min, and an elution volume of ChCl-LA of 10 mL.
Analysis and Experimentation of a Novel Modulation Technique for a Dual-Output WPT Inverter

Dynamic wireless power transfer systems require to supply many transmitting coils deployed under the road surface and arranged along the so-called track. This layout entails the use of a large number of inverters or of devices that switch the power to the proper coils. This article presents a technique that uses a single three-phase inverter to supply two coils with voltages having different and independently adjustable amplitudes of their first harmonic component. Differently from the well-known phase shift technique, the amplitude and the phase of the voltages are not correlated. Moreover, the presented technique has the ability of inherently reducing the phase difference between the two output currents when the supplied loads are partially reactive. This feature enhances the power transfer capability of the inverter when both the track coils are coupled with the same pickup. After presenting this technique, this article analyzes the functioning of the dual-output inverter in different load conditions recognizing the boundaries of four different modes of operation. For each of them the analytical expression of the amplitude and phase of the generated voltages are given. The theoretical findings are validated by experiments performed on a prototypal setup that implements the presented modulation technique.
Systematic Investigation of the Multifaceted Role of SOX11 in Cancer

Simple Summary The transcription factor SOX11 is a member of the SRY box-containing family. Recently, SOX11 research has shifted from embryogenesis to cancer development. Nevertheless, the roles of SOX11 in different cancer types remain controversial. Here, we systematically explored the characteristics of SOX11 by multiple omics analyses. Aberrant SOX11 expression has been observed in many types of human malignant tumors. Moreover, SOX11 expression could serve as an indicator of survival outcomes, tumor progression and cellular immune infiltration. Our work highlights the diverse role of SOX11 in different types of tumors, which points out several directions for future prospective studies on SOX11 in cancer. Abstract SRY-box transcription factor 11 (SOX11), as a member of the SOX family, is a transcription factor involved in the regulation of specific biological processes and has recently been found to be a prognostic marker for certain cancers. However, the roles of SOX11 in cancer remain controversial. Our study aimed to explore the various aspects of SOX11 in pan-cancer. The expression of SOX11 was investigated by the Genotype Tissue-Expression (GTEX) dataset and the Cancer Genome Atlas (TCGA) database. The protein level of SOX11 in tumor tissues and tumor-adjacent tissues was verified by human pan-cancer tissue microarray. Additionally, we used TCGA pan-cancer data to analyze the correlations among SOX11 expression and survival outcomes, clinical features, stemness, microsatellite instability (MSI), tumor mutation burden (TMB), mismatch repair (MMR) related genes and the tumor immune microenvironment. Furthermore, the cBioPortal database was applied to investigate the gene alterations of SOX11. The main biological processes of SOX11 in cancers were analyzed by Gene Set Enrichment Analysis (GSEA). As a result, aberrant expression of SOX11 has been implicated in 27 kinds of cancer types. Aberrant SOX11 expression was closely associated with survival outcomes, stage, tumor recurrence, MSI, TMB and MMR-related genes. In addition, the most frequent alteration of the SOX11 genome was mutation. Our study also showed the correlations of SOX11 with the level of immune infiltration in various cancers. In summary, our findings underline the multifaceted role and prognostic value of SOX11 in pan-cancer.
A New Spectral Harmonization Algorithm for Landsat-8 and Sentinel-2 Remote Sensing Reflectance Products Using Machine Learning: A Case Study for the Barents Sea (European Arctic)

The synergistic use of Landsat-8 operational land imager (OLI) and Sentinel-2 multispectral instrument (MSI) data products provides an excellent opportunity to monitor the dynamics of aquatic ecosystems. However, the merging of data products from multisensors is often adversely affected by the difference in their spectral characteristics. In addition, the errors in the atmospheric correction (AC) methods further increase the inconsistencies in downstream products. This work proposes an improved spectral harmonization method for OLI and MSI-derived remote sensing reflectance (<inline-formula> <tex-math notation="LaTeX">${R_{rs}}$ </tex-math></inline-formula>) products, which significantly reduces uncertainties compared to those in the literature. We compared <inline-formula> <tex-math notation="LaTeX">${R_{rs}}$ </tex-math></inline-formula> retrieved via state-of-the-art AC processors, i.e., Acolite, C2RCC, and Polymer, against ship-based in situ <inline-formula> <tex-math notation="LaTeX">${R_{rs}}$ </tex-math></inline-formula> observations obtained from the Barents Sea waters, including a wide range of optical properties. Results suggest that the Acolite-derived <inline-formula> <tex-math notation="LaTeX">${R_{rs}}$ </tex-math></inline-formula> has a minimum bias for our study area with median absolute percentage difference (MAPD) varying from 9% to 25% in the blue–green bands. To spectrally merge OLI and MSI, we develop and apply a new machine learning-based bandpass adjustment (BA) model to near-simultaneous OLI and MSI images acquired in the years from 2018 to 2020. Compared to a conventional linear adjustment, we demonstrate that the spectral difference is significantly reduced from <inline-formula> <tex-math notation="LaTeX">$\sim 6$ </tex-math></inline-formula>% to 12% to <inline-formula> <tex-math notation="LaTeX">$\sim 2$ </tex-math></inline-formula>% to <inline-formula> <tex-math notation="LaTeX">${< } {10\%}$ </tex-math></inline-formula> in the common OLI-MSI bands using the proposed BA model. The findings of this study are useful for the combined use of OLI and MSI <inline-formula> <tex-math notation="LaTeX">${R_{rs}}$ </tex-math></inline-formula> products for water quality monitoring applications. The proposed method has the potential to be applied to other waters.
The Galaxy activity-interaction connection. II - Radio observations

Abstract : As the second part of an ongoing investigation into the triggering of nuclear radio emission in inter acting galaxies, we present the results of a Very Large Array snapshot survey of southern interacting galaxies at 6 and 20 cm. The purpose of the survey was to search for and classify the nature of radio emission in a set of advanced-interaction disk galaxies which we had previously imaged optically. There were 42 interacting systems in our sample as well as 10 control systems, none of which had been previously detected by the Parkes surveys. Maps of the radio emission are presented and discussed. The radio properties of the galaxies are compared with their optical and infrared properties to determine the nature of the radio emission. We find that the radio emission in all our interacting galaxies can be attributed to processes associated with a burst of star formation caused by the galaxy interaction. In a specific case (0558-33), we quantitatively confirm earlier models of a starburst, but using radio observations to estimate the number of supernova remnants rather than optical spectra and broadband observations. In no case did we find clear evidence for a buried active nucleus. Further high resolution observations are needed however to better assess the contribution from any compact, weak active nuclei. Despite the obvious interaction these galaxies have undergone, none have developed into powerful radio sources, even though many of the most powerful radio sources are themselves the likely products of galaxy-galaxy interactions. We briefly discuss the implications for the triggering of nuclear activity.
A Hybrid Data Cloning Maximum Likelihood Estimator for Stochastic Volatility Models

Abstract: In this article, we analyze a maximum likelihood estimator using Data Cloning for Stochastic Volatility models. This estimator is constructed using a hybrid methodology based on Integrated Nested Laplace Approximations to calculate analytically the auxiliary Bayesian estimators with great accuracy and computational efficiency, without requiring the use of simulation methods such as Markov Chain Monte Carlo. We analyze the performance of this estimator compared to methods based on Monte Carlo simulations (Simulated Maximum Likelihood, MCMC Maximum Likelihood) and approximate maximum likelihood estimators using Laplace Approximations. The results indicate that this data cloning methodology achieves superior results over methods based on MCMC, comparable to results obtained by the Simulated Maximum Likelihood estimator. The methodology is extended to models with leverage effects, continuous time formulations, multifactor and multivariate stochastic volatility.
Modeling survival in childhood cancer studies using two-stage non-mixture cure models

Non-mixture cure models (NMCMs) are derived from a simplified representation of the biological process that takes place after treatment for cancer. These models are intended to represent the time from the end of treatment to the time of first recurrence of cancer in studies when a proportion of those treated are completely cured. However, for many studies overall survival is also of interest. A two-stage NMCM that estimates the overall survival from a combination of two cure models, one from end of treatment to first recurrence and one from first recurrence to death, is proposed. The model is applied to two studies of Ewing's tumor in young patients. Caution needs to be exercised when extrapolating from cure models fitted to short follow-up times, but these data and associated simulations show how, when follow-up is limited, a two-stage model can give more stable estimates of the cure fraction than a one-stage model applied directly to overall survival.
Die Zusammenhangsstruktur symmetrischer Graphen.

Für eine Teilmenge C der Eckenmenge E des Graphen G bezeichne T(C) die Menge aller Ecken in E — (7, die mit mindestens einer Ecke von C verbunden sind; weiter sei C = E — C — T(C). Ist G nicht vollständig, so ist z (G) = min (| T(C) \ : C 0, C 0) die Zusammenhangszahl von G. Ein C ^E mit \T(C)\= z(G), \ C \ > k und \C\:>k heiße k-Fragment von G, und ein -Fragment minimaler Elementezahl heiße k-Atom. In dieser Untersuchung soll die Gesamtheit aller Fragmente für die Graphen aus einer gewissen Klasse 3C bestimmt werden. 3C ist die Klasse der endlichen Graphen G mit ck(e) = ck(e') für alle Ecken e, e' von G und k — l, 2, . ; dabei bezeichnet ck(e) die Zahl der -Atome C mit e € C. Gibt es also zu je zwei Ecken e, e' von G und A = l, 2, . stets gleich viele Fragmente C mit | C | = A und e € C bzw. e' € C, so gehört G zu Jf. Offensichtlich ist ein endlicher Graph mit eckentransitiver Automorphismengruppe Aut (G) Element von JT. Es zeigt sich, daß JT auf natürliche Weise in 8 Teilklassen zerfällt, deren Elemente wir Graphen vom Typ ( ), ( ), (c), (d), (e), (f), (g) bzw. (j) nennen. Die Graphen G Jf* vom Typ (e), (e), (f), (g) und (j) sind auf sehr übersichtliche Weise aus kantenlosen Untergraphen, vollständigen Untergraphen und Kreisen aufgebaut (vgl. Satz 4, (3, 9) und (3,10)). In [2], Satz 4, hat sich ergeben, daß | C \ = | C \ und c2(e) = 2 für die 2Fragmente C bzw. Ecken e eines Graphen vom Typ (a) gilt. Die wichtigste Eigenschaft der G € Jf* vom Typ (6) und (d) ist, daß sich G auf ein Gred € Jf kontrahieren läßt, wobei Gred im wesentlichen die volle Information über die Zusammenhangsstruktur von G enthält (Satz 2, Satz 2' bzw. Satz 6).
Analysis of embedded shock waves calculated by relaxation methods.

The requirements for uniqueness of the calculated jump conditions across embedded shock waves are investigated for type-dependent difference systems used in transonic flow studies. A mathematical analysis shows that sufficient conditions are (1) the equations should be differenced in conservative form and (2) a special difference operator should be used when switching from a hyperbolic to an elliptic operator. The latter results in a consistency condition on the integral equations, rather than the differential, at these points. Calculated jump conditions for several embedded and detached shock waves are analyzed in the physical and hodograph planes. Comparisons are made with previous results, a time-dependent calculation, and data.
Analysis of Feature Extraction Models for Emotion Recognition using EEG Signals

Electroencephalogram (EEG) based affective brain-computer interface (a-BCI) systems are gaining interest among researchers in recent decades. a-BCI systems interpret/recognize human emotions using features extracted from the EEG signals. Hence, features play a crucial role in building EEG based emotion recognition models. As a result, analysis of feature extraction models becomes inevitable. In this work, we have proposed an analysis model for analyzing the feature extraction models for EEG based emotion recognition with the help of the DEAP dataset. Features were extracted using manual feature extraction techniques and the convolutional neural network. Several combinations of feature sets were given as input to classifiers and the results obtained were analyzed with various evaluation metrics. The proposed analysis model will help the researchers to choose the feature extraction model for emotion recognition.
Effects of dietary Jerusalem artichoke (Helianthus tuberosus) tuber powder and medium/long-chain fatty acids on production performance and fatty acid profile in laying hens

This study considers the use of Jerusalem artichoke (Helianthus tuberosus) tuber powder (HTT) and medium/ long-chain fatty acids (MLCFAs) in the nutrition of laying hens. A total of forty; 30-week-old laying hens were randomly distributed into four groups: control (C), 0.1% MLCFAs (T1), 2.0% HTT (T2), and both 0.1% MLCFAs and 2.0% HTT (T3). The fatty acid (FA) profile of eggs was analysed by gas chromatography, cholesterol by HPLC, and egg quality using a multifunctional automatic egg analyzer; production parameters of hens were also analysed. The results revealed that MLCFAs had a significant effect on accumulation of ô€„-linolenic acid (C18:3) and docosahexaenoic acid (C22:6) in egg yolk, but a higher impact on addition of HTT and MLCFAs was observed. Omega-3 FAs and omega-6/omega-3 FA ratio in egg yolk increased significantly on addition of MLCFAs alone or in combination with HTT. There were no significant effects of HTT and/or MLCFAs on body weight, feed intake, feed conversion ratio or egg mass output of laying hens. In addition, for HTT alone or in combination with MLCFAs, egg shell breaking strength was increased significantly (by 2%). A significant increase of Haugh unit was determined in the MLCFA group and in the HTT group. A significant decrease of cholesterol level was observed in all experimental groups. Supplementing laying hens' feed with HTT and MLCFAs facilitated the production of FAsenriched eggs. Slight effects of HTT and MLCFAs on egg quality, except Haugh unit, yolk cholesterol level and eggshell strength) and production performance of laying hens were observed.
A High-Performance Fiber-Optic Hydrophone for Large Scale Arrays

In this paper, to develop a high-performance fiber-optic hydrophone for large-scale hydrophone arrays, a general sensing model is theoretically built from mandrel-wound structures of fiber-optic hydrophones. By analyzing and optimizing the structural parameters of the model, a high-performance fiber-optic hydrophone is designed from two aspects. First, the structure of the mandrel is optimized by elastic theory and finite element analysis approach, and the structural design of fiber-optic hydrophone with high acoustic pressure sensitivity and wide frequency response range is realized. Then, the winding ratio of the fiber is optimized by mathematical simulation to realize an Omni-directivity fiber optic hydrophone design. The feasibility of the designed fiber-optic hydrophone is further experimentally demonstrated. The results indicate that the proposed hydrophone achieves a high average acoustic pressure sensitivity of <inline-formula><tex-math notation="LaTeX">$-$</tex-math></inline-formula>113 dB (<inline-formula><tex-math notation="LaTeX">$re$</tex-math></inline-formula> 1 rd <inline-formula><tex-math notation="LaTeX">$/$</tex-math></inline-formula><inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>Pa) within the flatness of <inline-formula><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula>1.5 dB from 10 Hz to 1000 Hz, and a horizontal directivity of <inline-formula><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula>1 dB at 1 kHz. Moreover, the average minimum detectable acoustic pressure is achieved as low as 14.1 <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math></inline-formula>Pa. The capability of weak acoustic signal detection and large-scale multiplexing offers great potential for application in underwater faint target detection.
A Randomized Control Trial for ReDeSign: A Dementia-Friendly Mobile Microlearning Training for Store Workers in Japan

Abstract Background and Objectives Dementia-friendly training should be incorporated in neighborhood stores for people living with dementia to maintain engagement in social activities. However, there is a lack of evidence of dementia-friendly training in these workplaces, and existing trainings have time constraints. We developed a mobile microlearning program based on stigma theory and the bystander intervention model. This study aimed to evaluate the microlearning program’s effectiveness. Research Design and Methods Convenience store workers in Tokyo were recruited for a randomized, waiting-list, and controlled trial. The intervention group completed a 50-min online course. The primary outcome was an attitude toward people living with dementia. The secondary outcomes were knowledge of dementia and helping behavior toward customers suspected of having dementia. Data were collected at baseline, after 1 month, and 4 months following the randomization. Results Process evaluations confirmed satisfaction and high completion rates of the program. In total, 150 participants were included in the analysis. The intervention group showed significantly greater improvements in attitude (Hedge’s g = 0.70) and knowledge (g = 0.59) after 1 month, compared to the control group. Helping behavior increased in the intervention group, although it did not differ significantly between the groups. All outcomes remained significantly improved after 4 months. Discussion and Implications The findings provide evidence that dementia-friendly training reduces the general public’s stigma and increases helping behavior in stores. Mitigation of time constraints through mobile microlearning is expected to contribute to the dissemination and help people living with dementia maintain their social participation in the communities. Clinical Trials Registration Number: UMIN000043623
Genome-Wide Characterization and Function Analysis of ZmERD15 Genes’ Response to Saline Stress in Zea mays L.

Early responsive dehydration (ERD) genes can be rapidly induced by dehydration. ERD15 genes have been confirmed to regulate various stress responses in plants. However, the maize ERD15 members have not been characterized. In the present study, a total of five ZmERD15 genes were identified from the maize genome and named ZmERD15a, ZmERD15b, ZmERD15c, ZmERD15d, and ZmERD15e. Subsequently, their protein properties, gene structure and duplication, chromosomal location, cis-acting elements, subcellular localization, expression pattern, and over-expression in yeast were analyzed. The results showed that the ZmERD15 proteins were characterized by a similar size (113–159 aa) and contained a common domain structure, with PAM2 and adjacent PAE1 motifs followed by an acidic region. The ZmERD15 proteins exhibited a close phylogenetic relationship with OsERD15s from rice. Five ZmERD15 genes were distributed on maize chromosomes 2, 6, 7, and 9 and showed a different exon–intron organization and were expanded by duplication. Besides, the promoter region of the ZmERD15s contained abundant cis-acting elements that are known to be responsive to stress and hormones. Subcellular localization showed that ZmERD15b and ZmERD15c were localized in the nucleus. ZmERD15a and ZmERD15e were localized in the nucleus and cytoplasm. ZmERD15d was localized in the nucleus and cell membrane. The results of the quantitative real-time PCR (qRT-PCR) showed that the expression of the ZmERD15 genes was regulated by PEG, salinity, and ABA. The heterologous expression of ZmERD15a, ZmERD15b, ZmERD15c, and ZmERD15d significantly enhanced salt tolerance in yeast. In summary, a comprehensive analysis of ZmERD15s was conducted in the study. The results will provide insights into further dissecting the biological function and molecular mechanism of ZmERD15s regulating of the stress response in maize.