Miracle-dz/UniFAR-FTUs huggingface dataset:
Probing the Structural Features and the Micro-heterogeneity of Various Deep Eutectic Solvents and their Water Dilutions by the Photophysical Behaviour of Two Fluorophores

The structural features of a series of diverse Deep Eutectic Solvents (DESs) have been investigated and characterized by means of two fluorescent probes. The spectral and photophysical properties of the latter are strictly dependent on the experienced environment, so that they can provide insights into the polarity, viscosity, hydrogen-bond network, and micro-heterogeneity of the various DESs.In fact, the investigated DESs exhibit a variety of properties with regards to their hydrophilicity, acidity, and hydrogen-bond ability, and these details were deeply probed by the two fluorescent molecules. The effect of the addition of water, which is a key strategy for tuning the properties of these structured systems, was also tested. In particular, the excited state dynamics of the probes, measured by femtosecond-resolved transient absorption, proved instrumental in understanding the changes in the structural properties of the DESs, namely reduced viscosity and enhanced heterogeneity, as the water percentage increases. Differences between the various DESs in terms of both local microheterogeneity and bulk viscosity also emerged from the peculiar multi-exponential solvation dynamics undergone by the excited states of the probes.
DNA-Guided Assembly for Fibril Proteins

Current advances in computational modelling and simulation have led to the inclusion of computer scientists as partners in the process of engineering of new nanomaterials and nanodevices. This trend is now, more than ever, visible in the field of deoxyribonucleic acid (DNA)-based nanotechnology, as DNA’s intrinsic principle of self-assembly has been proven to be highly algorithmic and programmable. As a raw material, DNA is a rather unremarkable fabric. However, as a way to achieve patterns, dynamic behavior, or nano-shape reconstruction, DNA has been proven to be one of the most functional nanomaterials. It would thus be of great potential to pair up DNA’s highly functional assembly characteristics with the mechanic properties of other well-known bio-nanomaterials, such as graphene, cellulos, or fibroin. In the current study, we perform projections regarding the structural properties of a fibril mesh (or filter) for which assembly would be guided by the controlled aggregation of DNA scaffold subunits. The formation of such a 2D fibril mesh structure is ensured by the mechanistic assembly properties borrowed from the DNA assembly apparatus. For generating inexpensive pre-experimental assessments regarding the efficiency of various assembly strategies, we introduced in this study a computational model for the simulation of fibril mesh assembly dynamical systems. Our approach was based on providing solutions towards two main circumstances. First, we created a functional computational model that is restrictive enough to be able to numerically simulate the controlled aggregation of up to 1000s of elementary fibril elements yet rich enough to provide actionable insides on the structural characteristics for the generated assembly. Second, we used the provided numerical model in order to generate projections regarding effective ways of manipulating one of the the key structural properties of such generated filters, namely the average size of the openings (gaps) within these meshes, also known as the filter’s aperture. This work is a continuation of Amarioarei et al., 2018, where a preliminary version of this research was discussed.
A theory of corporate responsibility to race (CRR): communication and racial justice in public relations

ABSTRACT This article introduces the theory of the corporate responsibility to race (CRR). It holds that corporations should communicate in ways that advocate for racial justice, attempt to improve race relations, and support achieving a more equitable and harmonious society. Corporations have this responsibility to race because they have historically perpetuated and profited from racial oppression, making corporations contributors to, and benefactors of, racial injustice. However, recently corporations have been using their platforms to speak against racial injustice in an effort to improve race relations. CRR theory provides a new way to readily identify, understand, contextualize, theorize and analyze corporate communication about race. Although CRR emerges from a Unites States perspective, and as a public relations concept, it has global applications in any place where racial difference leads to oppression, and it has analytical value in any field where organizational resources can be leveraged to fight oppression.
Morphometry-Driven Divergence in Decadal Changes of Sediment Property in Floodplain Water Bodies

Sediments are potentially the internal source that supply nutrients to water in lentic to semi-lentic ecosystems. The understanding of factors that cause temporal changes in sediment properties is critical for the internal source management. This study investigated the spatial variations and temporal changes in sediment properties in relation to their controlling factors in water bodies of the Ishikari River, Northern Japan. Sediment data in 29 water bodies were measured twice (around 2005 and 2019) to study the temporal changes in sediment properties, and were compared using Generalized Linear Mixed Models (GLMMs). The controlling factors of sediment properties including catchment and morphometry were examined by partial least square (PLS) regression. Our results showed that the temporal change in sediment properties over decades was largely driven by morphometry, while land use in the catchment played a relatively minor role in those changes. The rate of change in organic matter (OM) differed among water bodies depending on their morphometry. The small and shallow water bodies provided suitable habitat for macrophytes that led to OM deposits, resulting to an increase in OM and OM to total nitrogen (TN) ratio over time. The consequences of these changes are important for internal source management and biodiversity conservation.
The Solute Carrier Family 7 Genes Are Potential Diagnostic and Prognostic Biomarkers in Lower Grade Glioma

Background: The solute carrier (SLC) 7 family genes are a group of cationic amino acid/glycoprotein transporters and of importance to the maintenance of amino acid nutrition and survival of tumour cells. This study was to investigate the diagnostic values of SLC7 family genes and their associations with overall survival (OS) and relapse-free survival (RFS) in Lower grade glioma (LGG). Methods: SLC7 family gene expression and clinical data were retrieved from The Cancer Genome Atlas and the Chinese Glioma Genome Atlas database. The expression difference of SLC7 family genes was compared between 523 LGG and 1141 normal brain tissues. The associations between gene expression, clinicopathologic factors, patients’ OS and RFS were analysed by various statistical methods in the two datasets. Results: As compared to normal brain tissues, SLC7A10 expression was significantly down-regulated, while SLC7A5, SLC7A7 expression was significantly up-regulated in LGG tissues. Multivariate analysis and validation analysis confirmed that increased SLC7A7 expression was associated with increased mortality (P≤0.001, Odd ratio [OR]:2.66, 95% Confidence interval [CI]: 1.56–4.6). While, increased SLC7A4 and SLC7A14 expression was associated with reduced mortality (P=0.02, OR:0.38, 95% CI: 0.16–0.81; P≤0.001, OR:0.38, 95% CI: 0.21–0.67; respectively). Increased SLC7A11 expression was associated with decreased RFS (P=0.01, OR:0.61, 95% CI: 0.43–0.88). Conclusion: SLC7A5, SLC7A7, SLC7A10 might serve as diagnostic biomarkers in LGG. High SLC7A4, SLC7A7 and SLC7A14 expression is significantly associated with OS. SLC7 family gene expression represents a potentially diagnostic and prognostic biomarker to predict survival in LGG.
Characterization of Aerosol Sources and Optical Properties in Siberia Using Airborne and Spaceborne Observations

Airborne backscatter lidar at 532 nm and in-situ measurements of black carbon (BC), carbon monoxide excess above background (ΔCO), and aerosol size distribution were carried out over Siberia in July 2013 and June 2017 in order to sample several kinds of aerosol sources. Aerosol types are derived using the Lagrangian FLEXible PARTicle dispersion model (FLEXPART) simulations and satellite observations. Six aerosol types could be identified in this work: (i) dusty aerosol mixture, (ii) Ob valley gas flaring emission, (iii) fresh forest fire, (iv) aged forest fire, (v) urban emissions over the Tomsk/Novosibirsk region (vi) long range transport of Northern China urban emission. The altitude range of aerosol layers is discussed for each aerosol type, showing transport above the boundary layer for long range transport of Northern China emissions or fresh forest fire. Comparisons of aerosol optical properties, BC and ΔCO are made between aged and fresh plumes for both the urban and forest fire emissions. An increase of aerosol optical depth at 532 nm (AOD532), aerosol particle size and ΔCO is found for aged forest fire plumes. Similar results are obtained when comparing the aged urban plume from Northern China with fresh urban emissions from Siberian cities. A flight above gas flaring emissions corresponds to the largest AOD532 and provides a possible range of 50–60 sr for the lidar ratio of these aerosol plumes often encountered in Siberia. Black carbon concentrations are relatively higher for the flaring plume (0.4–0.5 μμg.m−3) than for the urban plume (0.2 μμg.m−3). The largest BC concentrations are found for the fresh forest fire plume. The aerosol type identification and AOD532 provided by CALIOP Version 4.2 data products in air masses with similar origin generally agree with the results obtained from our detailed analysis of the aerosol plume origins.
Postharvest Burning of Crop Residues in Home Stoves in a Rural Site of Daejeon, Korea: Its Impact to Atmospheric Carbonaceous Aerosol

To investigate the impact of burning postharvest crop residues in home stoves, PM2.5 samples (particulate matter with a diameter of 3 during the sampling period. The average mannosan/levoglucosan ratio (0.18) at the rural site during a severe BB episode (levoglucosan > 1 μg/m3) was similar to burnings of pepper stems (0.19) and bean stems (0.18) whereas the average OC/levoglucosan ratio (9.9) was similar to burning of pepper stems (10.0), implying that the severe BB episode was mainly attributed to burning of pepper stems. A very strong correlation was observed between levoglucosan and organic carbon (OC) (R2 = 0.81) during the entire sampling period, suggesting that the emission of organic aerosols at the rural site was strongly associated with the burning of crop residues in home stoves. The average mannosan/levoglucosan ratio (0.17 ± 0.06) in the rural area was similar to that in a nearby urban area in Daejeon (0.16 ± 0.04). It was concluded that crop residue burning in a home stove for space heating is one of the important sources of carbonaceous aerosols not only in a rural area but also in the urban area of Daejeon, Korea during the postharvest season.
Tom Nook, Capitalist or Comrade?

Many millennial Animal Crossing players will experience the joy of paying off their beautiful three-floor in-game home only to have that joy cut short by the crushing realization that they may never experience homeownership in real life. Who do we then take that anger and disappointment out on? The capitalists with a stranglehold on the housing market? The governments and companies holding our lives hostage for student loan debt? Our landlords who take most of our income each month so we can keep a roof over our heads? Our bosses who are criminally underpaying us for our labour? Or is it a fictional racoon? Arguments about the ethics of Animal Crossing’s non-playable character Tom Nook are inescapable in online discussions about the Animal Crossing series. These discussions generally have two sides: either Tom Nook is a capitalistic villain who exploits the player’s labour for housing, or he is a benevolent landowner who helps the player out in hard times. Vossen first sets the stage by discussing the cultural significance of both the Animal Crossing series, focusing in on Animal Crossing: New Horizons (2020), and the millennial housing crisis. She then examines the many tweets, memes, comics, and articles that vilify Tom Nook (and a few that defend him) and asks: are we really mad at Tom, or are we mad at the cruelty and greed of the billionaires, bosses, and landowners in our real lives? Vossen argues that what she calls “Nook discourse” represents the radical social potential of Animal Crossing to facilitate large-scale real-world conversations about housing, economic precarity, class, and labour that could help change hearts and minds about the nature of wealth.
Improvement of environmental performance and optimization of industrial structure of the Yangtze River economic belt in China: going forward together or restraining each other?

Abstract Based on the panel data of eleven provinces and cities in the Yangtze River Economic Belt of China from 2008 to 2018, both the optimization index of the industrial structure and environmental performance indexes are calculated. Then, the impact of industrial structure optimization on the improvement of ecological environmental performance was investigated by applying the static panel model and threshold model. The results show that the optimization of the industrial structure of the Yangtze River Economic Belt has a significant role in promoting the improvement of environmental performance in general. Still, the rationalization of the industrial structure has a single threshold effect. The upgrading of regional industrial structure in the middle reaches of the Yangtze River and the rationalization of regional industrial structure in the Yangtze River's upper reaches are more conducive to improving ecological environment performance. Therefore, in the transformation and upgrading of the industrial structure of the Yangtze River Economic Belt, the downstream region should strengthen scientific and technological innovation, strive to break through the core and critical technologies, and mainly build clean and efficient green service industries.
A részmunkaidős foglalkoztatás hatékonyságának empirikus vizsgálata

Az atipikus foglalkoztatás különböző formái eddig is jelentős szerepet kaptak a gazdasági életben, azonban a Covid–19-járvány okozta gazdasági lassulás még jobban felértékelheti fontosságukat. Tanulmányunkban azt vizsgáljuk, hogy a részmunkaidőben foglalkoztatott dolgozók valamely teljesítménymutatóban hatékonyabbak lehetnek-e a teljes munkaidőben foglalkoztatott társaiknál, tartós átrendeződést okozva ezzel a munkaerőpiacon. A vizsgálathoz egy magyarországi nagyvállalat 4683 dolgozójának 2017 és 2019 közötti, összesen 105 241 hónapra vonatkozó teljesítményadatát használtuk fel. A beazonosított két teljesítménymutató közül az egyiknél szinte minden vizsgált változó esetében a részmunkaidősök bizonyultak hatékonyabbnak, míg a másiknál csak bizonyos változók esetében kaptuk ezt az eredményt. * Journal of Economic Literature (JEL) kód: E24, J22, J24.
Models of Wealth and Inequality Using Fiscal Microdata: Distribution in Spain from 2015 to 2020

In this research, we used Spanish wealth distribution microdata for the period 2015–2020 to provide a general framework for comparing different models and explaining different empirical datasets related to wealth distribution. We present a methodology to output the current value of assets and participations held by the population in order to calculate their real and current distribution. We propose a new methodology for mixture analysis, whereby we identify and analyze subpopulations and then go on to study their influence on wealth distribution. We use concepts of symmetry to identify two internal processes that are characteristic of the wealth accumulation process for the subpopulations of entrepreneurs and non-entrepreneurs. Finally, we propose a method to adjust these results to other empirical data in other countries and periods, providing a methodology for comparing results output with differing data granularity.
Identification of Candidate Genes for Clubroot-Resistance in Brassica oleracea using QTL-Seq

Clubroot caused by Plasmodiophora brassicae is a devastating disease of cabbage (Brassica oleracea). To identify quantitative trait loci (QTLs) for clubroot resistance (CR) in B. oleracea, genomic resequencing was carried out in two sets of extreme pools that constructed from 184 F2 cloned-lines derived from cross between clubroot-resistant cabbage ‘GZ87’ (against race 4) and susceptible cabbage ‘263’. QTL-seq analyses identified one CR QTL from group I on chromosome C07 and four QTLs from group II on C04 and C07, among which three QTLs of C07 that found from group II were located within the one detected from group I. RNA-Seq and qRT-PCR were conducted in the extreme pools of group II before and after inoculation identified two potential candidate genes (Bol037115 and Bol042270) from the three QTLs interval on C07, which exhibiting up-regulation after inoculation in the resistant pool but down-regulation in the susceptible pool. A functional marker ‘SWU-OA’ was developed from one QTL on C07, exhibiting ~95% accuracy in identifying CR in 56 F2 lines. Our study will provide valuable information on digging resistance genes against P. brassicae and may accelerate breeding process of B. oleracea with CR.Key Message ﻿QTLs and potential candidate genes for clubroot resistance were identified in Brassica oleracea
Social Support and Parenting among Mothers Experiencing Homelessness

SYNOPSIS Objective. Effective parenting is among the strongest predictors of child resilience, but the stress and adversity associated with homelessness may undermine the capacity of caregivers to parent. To identify malleable factors that could foster resilience in parenting, this study investigated social support in relation to observed parenting in the context of homelessness. Design. Participants included 95 mothers (M age = 29.75, 64.2% African American) and their 4- to 6-year-old children (55.8% male) residing in shelters for families experiencing homelessness. Mothers completed questionnaires, and trained raters coded video recordings of structured parent–child interactions for effective parenting. Results. Mothers reported “fairly high” satisfaction with support and average support network size of two individuals. Mothers reported more satisfaction when support came from family members and lower stress when support came from a co-parent. Neither satisfaction with support or support network size was significantly associated with effective parenting, and neither showed stress-buffering effects on parenting. Verbal capability was the most salient predictor of effective parenting. Conclusions. Mothers in emergency shelter reported satisfaction with social support despite a small network size. Support from family and their co-parent were important for satisfaction and perceived stress.
Machine learning‐based scheduling: a bibliometric perspective

In recent years, the rapid development of artificial intelligence and data science has given rise to the study of data driven algorithms in highly volatile systems. The scheduling of complex shop floor resources falls into such a category, which is often non ‐ linear in nature, time varying, multi ‐ objective, and subject to interruptions. Ergo, the machine learning ‐ based scheduling, has become a research hotspot and attracted the attention of many scholars. In the literature, the research methods employed in solving scheduling problems are based on various perspectives, such as mathematical programming, combinatorial optimization, and heuristic rules. However, due to the inherent complexity of the problem, many issues remain to be addressed. In particular, with the availability of production data, the progress of computing power, and the breakthrough in intelligent algorithms, a novel branch of data driven algorithms present great potential, for example, the deep learning and reinforcement learning ‐ based algorithms. To reveal the value of machine learning ‐ based scheduling methods, bibliometric analysis was conducted to analyse the relevant articles and documents from the year 1980 to 2019. Finally, the future research trend in the domain of machine learning ‐ based scheduling is considered and tips are provided for researchers as well as practitioners to find leading scientists for collaborations.
The Systematic Analysis of lncRNA Expression in Ebola-infected Human Macrophages

Ebola is a dangerous virus which causes severe headache, muscle pain, hemorrhagic fever, and multi-organ failure. The underlying mechanism of Ebola-human interaction at the molecular level remains unexplored. The recently reported research revealed that lncRNA are known to be important in the pathogenesis of viruses. The study carried out the comprehensive analysis of lncRNA identification in EBOLA, LPS and RESTV infected MDMs. In EBOLA, the total number of known lncRNA is EBOLA 555 in, in RESTV 476, in LPS 550 and the novel lncRNAs in EBOLA 142, RESTV 127, in LPS 136 identified. Also, differentially expressed lncRNAs and neighbourhood genes of each lncRNA about 100kb identified for analysis.The study reported the known and novel lncRNA in EBOLA, LPS and RESTV infected cells of MDMs. The results of the study may help to understand the immune response further.
Nitrous oxide emissions in soils fertilized with pig manure: soil processes and strategies of control and mitigation

Nitrous oxide (N2O) is one of the main gases that contributes to the greenhouse effect. With a Global Warming Potential (GWP) 265 times greater than that of carbon dioxide (CO2), over a 100-year horizon, N2O also has the potential for the depreciation of the ozone layer. The activities related to agriculture and livestock are responsible for approximately 60% of the global anthropogenic emissions of this gas to the atmosphere. In Brazil, the sector corresponds to 37% of total emissions. The objectives of this review article were: (i) To verify which are the main processes involved in N2O emissions in soils fertilized with swine manure; (ii) What are the direct emissions on these soils under different management systems, and; (iii) What are the possible strategies for controlling and mitigating N2O emissions. Therefore, an exploratory and qualitative research of articles was carried out using the following keywords: oxido nitroso’, ‘nitrous oxide’, ‘N2O’, ‘nitrogenio’, ‘nitrogen’, ‘suinos, ‘pig, ‘swine’, ‘dejetos’, ‘manure’ and ‘slurry’. Effects of pig diet, manure treatment systems, presence of heavy metals in the soil and moisture content of manure on N2O emissions were verified. Therefore, we recommend integrated studies of the quantitative and qualitative impacts of the levels and sources of nitrogen in the animals' diets on N2O emissions after the application of these wastes to the soil. We also recommend studies related to the effects of copper and zinc contents added to the soil via swine manure on enzymes that catalyze the biotic denitrification process in the soil.