Miracle-dz/UniFAR-FTUs huggingface dataset:
Short communication: Pepino mosaic virus, a new threat for Serbia’s tomatoes

Aim of study: To report the occurrence of Pepino mosaic virus (PepMV) on tomato in Serbia and to genetically characterize Serbian PepMV isolates.Area of study: Tomato samples showing virus-like symptoms were collected in the Bogojevce locality (Jablanica District, Serbia). Material and methods: Collected tomato samples were assayed by DAS-ELISA using antisera against eight economically important or quarantine tomato viruses. Three selected isolates of naturally infected tomato plants were mechanically transmitted to tomato ‘Novosadski jabučar’ seedlings. For confirmation of PepMV infection, RT-PCR was performed using specific primers PepMV TGB F/PepMV UTR R. Maximum-likelihood phylogenetic tree was constructed with 47 complete CP gene sequences of PepMV to determine the genetic relationship of Serbian PepMV isolates with those from other parts of the world.Main results: The results of DAS-ELISA indicated the presence of PepMV in all tested samples. Mechanically inoculated ‘Novosadski jabučar’ seedlings expressed yellow spots and light and dark green patches, bubbling, and curled leaves. All tested tomato plants were RT-PCR positive for the presence of PepMV. The CP sequence analysis revealed that the Serbian PepMV isolates were completely identical among themselves and shared the highest nucleotide identity of 95.1% (99.2% aa identity) with isolate from Spain (FJ263341). Phylogenetic analysis showed clustering of the Serbian PepMV isolates into CH2 strain, but they formed separate subgroup within CH2 strain.Research highlights: This is the first data of the presence of PepMV in protected tomato production in Serbia. Considering increased incidence and rapid spread in Europe, the presence of PepMV on tomato could therefore represent serious threat to this valuable crop in Serbia.
In Situ Observations and Lumped Parameter Model Reconstructions Reveal Intra‐Annual to Multidecadal Variability in Groundwater Levels in Sub‐Saharan Africa

Understanding temporal variability in groundwater levels is essential for water resources management. In sub‐Saharan Africa, groundwater level dynamics are poorly constrained due to limited long‐term observations. Here, we present the first published analysis of temporal variability in groundwater levels at the national scale in sub‐Saharan Africa, using 12 multidecadal (ca. 1980s to present) groundwater level hydrographs in Burkina Faso. For each hydrograph, we developed lumped parameter models which achieved acceptable calibrations (NSE = 0.5–0.99). For eight sites not showing significant (p < 0.001) long‐term groundwater level declines, we reconstructed groundwater levels to 1902, over 50 years before the earliest observations in the tropics. We standardized and clustered the eight reconstructed hydrographs to compare responses across the sites. Overall, the 12 hydrographs were categorized into three groups, which are dominated by (1) long‐term declines (four sites), (2) short‐term intra‐annual variability (three sites), and (3) long‐term multidecadal variability (five sites). We postulate that group 1 is controlled by anthropogenic influences (land use change and abstraction). Correlation of modeled water table depth and groundwater response times with hydrograph autocorrelation suggests that hydrogeological properties and structure control differences between groups 2 and 3. Group 3 shows a small recovery in groundwater levels following the 1970/1980s drought. Differences in intra‐annual to multidecadal variability in groundwater levels have implications for water management and highlight the value of long‐term monitoring. Reconstructions contextualize current groundwater status, forecasts, and projections. The approach developed is generic and applicable where long‐term groundwater level data exist.
Understanding genetic diversity, population structure and development of a core collection of Indian accessions of watermelon (Citrullus lanatus (Thunb.) Matsum. and Nakai)

Abstract Most of the modern-day improved watermelon varieties succumb to various biotic and abiotic stresses mainly because of their narrow genetic base. Insights into the genetic diversity and population structure are crucial for broadening the genetic base and improving the adaptive value. The present experiment was conducted to study the genetic diversity and population structure of a germplasm panel comprising 336 Citrullus sp. accessions. Another objective was to formulate a core collection of Indian Citrullus sp. accessions. Data from 23 highly polymorphic microsatellite markers were used for genetic diversity and population structure analysis while both molecular and phenotypic data from 17 traits were used to formulate the core set. The markers yielded a total of 69 alleles with an average of three alleles per locus. Initially, the accessions clustered into two populations and an admixture group. Intra-population analysis revealed three and two statistically distinct subpopulations in Pop I and Pop II, respectively. The exotic collections were predominant in Pop I-A, Pop II-A and Pop II-B while the Indian accessions were preponderant in Pop I-B and Pop I-C. Pop I-B recorded the maximum magnitude of gene diversity and the highest number of alleles. The well-adapted Indian landraces could be deployed in future watermelon improvement programmes. The formulated core collection (n = 46; 23.71% of the entire collection studied) would ease in maintenance of the diversity present among indigenous Citrullus sp. accessions; would ease trait search while exploring Indian diversity and can be pooled with other collection(s) to form a global core of watermelon.
Artificial Magnetic Conductor Based Miniaturized Frequency Re-configurable Dielectric Resonator Antenna for 5G and WBAN Applications

─ In this work a novel miniaturized frequency reconfigurable Dielectric Resonator antenna using Artificial Magnetic Conductor (AMC) surface is proposed. The prototype is set to work for 5G mid-band frequencies and Wireless Body Area Network (WBAN) applications. The work consists of two parts: firstly, the miniaturization of the prototype using AMC surface and secondly using the same AMC surface to reconfigure the frequency to another wireless application. Using AMC surface, the DR volume is reduced by 85% percent. Connecting the AMC unit cells through ideal switches (micro-trip slabs) re-configures the DR for different frequency. The overall performance observed before switching as well as after switching in both the cases is promising. The design is fabricated for performance analysis. A close agreement is reported between simulated and measured values of the reflection coefficients, radiation pattern, gain and efficiencies. The prototype has stable radiation pattern for both the operating frequencies. The impedance bandwidth values for both the resonance frequencies are 14.2% and 16% respectively. The prototype has a maximum gain of 6.8dBi and a maximum efficiency of 88%. Index Terms ─ 5G, artificial magnetic conductor, dielectric resonator antenna, efficiency, gain, WBAN.
The role of temperate treed swamps as a carbon sink in southwestern Nova Scotia

Forested wetlands may represent important ecosystems for mitigating climate change effects through carbon (C) sequestration because of their slow decomposition and C storage by trees. Despite this potential importance, few studies have acknowledged the role of temperate treed swamps in the C cycle. In southwestern Nova Scotia, Canada, we examined the role of treed swamps in the soil C cycle by determining C inputs through litterfall, assessing decomposition rates and soil C pools, and quantifying C outputs through soil greenhouse gas (GHG) emissions. The treed swamps were found to represent large supplies of C inputs through litterfall to the forest floor. The swamp soils had substantially greater C stores than the swamp–upland edge or upland soils. We found growing season C inputs via litterfall to exceed C outputs via GHG emissions in the swamps by a factor of about 2.5. Our findings indicate that temperate treed swamps can remain a C sink even if soil GHG emissions were to double, supporting conservation efforts to preserve temperate treed swamps as a measure to mitigate climate change.
Dancing in Clay: Pottery-making as a Safe Space Activity for Girls in Southwestern Kenya

This paper explores elements of traditional art education embedded in pottery-making activities of a specific community among the Luo people of southwest Kenya. In a society where sociocultural norms tend to favor the education of boys over girls, conversations with Mama Nyungu—a pottery-making group in Homabay County in southwest Kenya reveal some sophisticated and organized tradition-related strategies for preparing young girls for adult life. In building upon Dietler and Herbich’s assertion that pottery making is “a social labor that involves women in an important network of shared activity, knowledge, and personal relationships” (1989 p. 149), this paper demonstrates that this network provides a haven for girls in a community with a tradition and history of underage marriages. Through engagement in and learning about the customs and norms expected of girls, pottery making activities provide a sanctuary, which enables young girls to complete their formal education.
Interaction Features of Internal Wave Breathers in a Stratified Ocean

Oscillating wave packets (breathers) are a significant part of the dynamics of internal gravity waves in a stratified ocean. The formation of these waves can be provoked, in particular, by the decay of long internal tidal waves. Breather interactions can significantly change the dynamics of the wave fields. In the present study, a series of numerical experiments on the interaction of breathers in the frameworks of the etalon equation of internal waves—the modified Korteweg–de Vries equation (mKdV)—were conducted. Wave field extrema, spectra, and statistical moments up to the fourth order were calculated.
Assessment of GaN Surface Pretreatment for Atomic Layer Deposited High-k Dielectrics

We report the effects of GaN surface pretreatments on the material and electrical properties of Al2O3 dielectric deposited by atomic layer deposition (ALD). A layer of Al2O3 was deposited at different temperatures on metal organic chemical vapor deposition grown n-GaN that was treated with either H2O2:H2SO4 (1:5, piranha), HCl:H2O (1:1, HCl), or HF:H2O (1:1, HF) prior to Al2O3 deposition. The Al2O3 layers on piranha- and HF-treated GaN were observed to be uniformly smooth. The piranha pretreatment resulted in the lowest hysteresis. Pretreatment of the GaN surface with piranha removes carbon and hydroxylates the surface, resulting in better quality ALD Al2O3.
Environmentally Friendly Approach for the Production of Glucose and High-Purity Xylooligosaccharides from Edible Biomass Byproducts

Xylooligosaccharides (XOS) production from sweet sorghum bagasse (SSB) has been barely studied using other edible biomasses. Therefore, we evaluated the XOS content as well as its purity by comparing the content of total sugars from SSB. An environmentally friendly approach involving autohydrolysis was employed, and the reaction temperature and time had variations in order to search for the conditions that would yield high-purity XOS. After autohydrolysis, the remaining solid residues, the glucan-rich fraction, were used as substrates to be enzymatically hydrolyzed for glucose conversion. The highest XOS was observed for total sugars (68.7%) at 190 °C for 5 min among the autohydrolysis conditions. However, we also suggested two alternative conditions, 180 °C for 20 min and 190 °C for 15 min, because the former condition might have the XOS at a low degree of polymerization with a high XOS ratio (67.6%), while the latter condition presented a high glucose to total sugar ratio (91.4%) with a moderate level XOS ratio (64.4%). Although it was challenging to conclude on the autohydrolysis conditions required to obtain the best result of XOS content and purity and glucose yield, this study presented approaches that could maximize the desired product from SSB, and additional processes to reduce these differences in conditions may warrant further research.
News-Based Research on Forecast of International Natural Gas Price Trend

In this paper, we build a deep learning network to predict the trends of natural gas prices. Given a time series, for each day, the gas price trend is classified as “up” and “down” according to the price compared to the last day. Meanwhile, we collect news articles as experimental materials from some natural gas related websites. Every article was then embedded into vectors by word2vec, weighted with its sentiment score, and labeled with corresponding day’s price trend. A CNN and LSTM fused network was then trained to predict price trend by these news vectors. Finally, the model’s predictive accuracy reached 62.3%, which outperformed most of other traditional classifiers.
Does industry matter? Drivers and barriers for open innovation in high-tech and non-high-tech industries—Evidence from Poland

Abstract Firms adopt open innovation for different reasons, and they experience various barriers for open innovation. Thus, the paper aims to answer two questions: (1) what type of drivers and barriers for open innovation that are to be identified among innovative firms in Poland and (2) what kind of differences in motives and barriers between high-tech and non-high-tech industries can be identified. The authors analyzed drivers and barriers for open innovation drawn from a survey database of on 122 innovative firms in Poland by means of the CATI method. The study confirms that the concept of open innovation is adopted in high-tech as well as non-high-tech industries. The study also shows that the most important drivers in high-tech and non-high-tech industries are market-driven motives, whereas the most important barriers are related to legal and financial factors. Moreover, the research does not confirm that there are different drivers and barriers between in high-tech and non-high-tech industries.
Roles of Capital Adequacy and Liquidity to Improve Banking Performance

This study aims to empirically test the effect of liquidity and adequacy on bank performance through interest rate risk and credit risk. Capital adequacy and liquidity are variables that can affect the ups and downs of opinion, where the bank’s performance in this study is the dependent variable. Good credit distribution can minimize the occurrence of defaults. This study uses banking companies in Indonesia that are listed on the Indonesian stock exchange, with a total number of 43 banking companies, this study however, uses only 30 companies ranging from years 2014 to 2019, primarily due to the availability of the limited data. The data analysis techniques used in this study is PLS-SEM with the WarpPLS application. The research results show that capital adequacy and liquidity has a positive effect on bank performance, interest rate risk and credit risk can mediate capital adequacy on bank performance, interest rate risk can mediate liquidity on bank performance, and interest rate risk has a positive effect on bank performance. However, credit risk can’t mediate liquidity on bank performance and credit risk does not have a positive effect on bank performance. This is in line with the commercial loan theory, shiftability theory and the doctrine of anticipated income, which explains how best to give credit, both in longer and the shorter term.
Extreme argon purity in a large, non-evacuated cryostat

Liquid Argon Time Projection Chambers (LArTPCs) show promise as scalable devices for the large detectors needed for long-baseline neutrino oscillation physics. Over the last several years at Fermilab a staged approach to developing the technology for large detectors has been developed. The TPC detectors require ultra-pure liquid argon with respect to electronegative contaminants such as oxygen and water. The tolerable electronegative contamination level may be as pure as 60 parts per trillion of oxygen. Three liquid argon cryostats operated at Fermilab have achieved the extreme purity required by TPCs. These three cryostats used evacuation to remove atmospheric contaminants as the first purification step prior to filling with liquid argon. Future physics experiments may require very large detectors with tens of kilotonnes of liquid argon mass. The capability to evacuate such large cryostats adds significant cost to the cryostat itself in addition to the cost of a large scale vacuum pumping system. This pa.
Improved Anticancer Activity of the Malloapelta B-Nanoliposomal Complex against Lung Carcinoma

Previous studies regarding malloapelta B (malB), a natural compound isolated from the Vietnamese medicinal plant, showed a strong NF-κB inhibitory effect, making it a promising source for the development of novel anticancer drugs. However, similar to many other natural compounds from plants, malB has several disadvantages for clinical applications, including high toxicity and low solubility. To improve its bioavailability, malB was conjugated into nanoliposomes, which are ideal drug carriers. The formulations with 1,2-dipalmitoyl-sn-glycero-3-phosphocholine, mPEG-cholesterol, malB, with or without cholesterol exhibited nanoliposomes with an average diameter of approximately 76.98 nm, PDI of 0.28, zeta potential of −5.53 mV, and the highest encapsulation efficiency of 78.73% ± 9.5%. These malB-nanoliposomes inhibited the survival of all lung cancer cell lines examined with IC50 values ranging from 11.86 to 13.12 μM. Moreover, malB-nanoliposomes showed stronger inhibition of A549 colony-forming activity compared to that of the free compound. The effects of malB and its nanoliposomal formulation may be mediated through activation of apoptosis by the significant induction of caspase 3 activity. The nanoliposomal formulations also showed potential to inhibit tumor growth (37.03%) and prolong survival (32.20 days) of tumor-bearing mice compared with the unloaded drug (p < 0.05). The improved antitumor activity of malB-nanoliposomes suggests their promising clinical applications.
Measuring Open Access Uptake: Data Sources, Expectations, and Misconceptions

In this paper we briefly introduce the concept of Open Access and review the many variants that have been presented in the literature. We then critically examine how OA variants are presented by data source and how they are operationalized in practice. The goal of the paper is to provide a set of guidelines on how to effectively interpret OA information. To this end, we compare OA figures reported in different data sources at the institutional and journal level and dig into the potential explanations behind the differences observed on the figures each source provides. Policy highlights Open Access reporting in bibliometric reports is now possible due to the proliferation of data sources which provide information on the OA status of publications. Unpaywall has become the main primary source of OA metadata on publications for the main bibliometric databases, however there are divergences as to how these databases use and present data from this source. Understanding how OA variants are defined by each source and subsequently operationalized is key to correctly report and interpret Open Access uptake.
Particle swarm optimization‐based liver disorder ultrasound image classification using multi‐level and multi‐domain features

Liver ultrasound is a cost‐effective, non‐invasive, and sufficient technique to diagnose most of the liver disorders. The recent advancements in research in image processing have led to the development of image‐based liver disorder classification systems. In spite of being popular in the diagnostic imaging of liver, ultrasound images, owing to their poor quality, render the conventional and state of the art segmentation and feature extraction techniques incapable, to accurately classify a large mixed group of liver disorders; due to the similarities and differences in appearances among the different and same disorders, respectively. Classification of liver disorders using ultrasound images poses various challenges at each phase, from segmentation to classification. There is a need for better segmentation, powerful features, and optimal classification parameter combinations to obtain decent classification accuracy, when a large sub‐set of liver disorders is considered. In this work, the region of interest is extracted using iso‐contour technique. Feature extraction is performed using multi‐level fractal features and multi‐domain wavelet‐texture features for better discrimination capability. Then, an optimization problem is formulated, for minimizing the five fold cross validation error to classify 10 types of disorders, both focal and diffused, by selecting the best features, suitable classifier, and its parameters using the particle swarm optimization technique for obtaining better classification. An overall accuracy of 91% is obtained using the proposed features in addition to 50% reduction in multi‐level fractal feature set which justifies the efficacy of the proposed technique.
The Prevalence of Polycystic Ovarian Syndrome, Metabolic Abnormalities and Its Association With Obesity in Adolescents: A Cross-Sectional Study in an Urban Population in Iran

The diagnosis of polycystic ovary syndrome (PCOS) and metabolic syndrome (MS) in adolescents is clinically challenging. It is on the rise as consistent with the increasing trends in obesity rates. This study aimed to investigate the prevalence of PCOS in adolescents by the National Institutes of Health (NIH) criteria and compare the prevalence of insulin resistance (IR) and metabolic syndrome (MS) between obese (OB) and non-obese (NOB) adolescents with PCOS. This was cross-sectional research with multi-stage cluster random sampling. Participants were 15-18-year-old girls from high schools in Semnan, Iran. The ones who had a history of menstrual dysfunction underwent clinical and hormonal tests. From among a total of 900 participants, 74 girls (8.2%) had a history of menstrual dysfunction. The prevalence of PCOS was 6.44% by NIH criteria. The prevalence of abnormal glucose metabolism, MS, and IR in girls with PCOS were 8(13.7%), 6(10.3%), 24(41.4%), respectively. The OB-PCOS group with a mean BMI of 28.21±1.26 kg/m2 had a significantly greater prevalence of MS, high BP, waist circumference ≥88 cm, and higher IR than NOB-PCOS cases with a mean BMI of 20.54±2.97 kg/m2. Abnormal glucose metabolism was prevalent in adolescents with PCOS and occurred with equal frequency in OB and NOB PCOS groups. Obesity could worsen IR, MS, and some of the components of Mets in PCOS adolescents.
Geometry dependence of the fluctuation intensity in gyrokinetic turbulence

The findings of an investigation into the properties of the three dimensional (3D) saturated fluctuation intensity of the electric potential in gyrokinetic turbulence simulations is presented. Scans in flux surface elongation and Shafranov shift are used to isolate the tokamak geometric dependencies. The potential intensity required in order to compute exact fluxes by a quasilinear method is determined using linear eigenmodes computed with the gyrokinetic code. A model of this non-linear intensity is constructed using the linear eigenmode properties and the geometry shape functions obtained from the 3D intensity spectrum. The model computes the poloidal wavenumber spectrum of the electron and ion energy fluxes with unprecedented accuracy. New insights are gained into the way zonal flow mixing saturates ion-scale turbulence by controlling the radial wavenumber width of the turbulence spectrum.