Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of the Investments Impact in the Field of Eco-Innovation on the Environmental Safety of Industrial Regions

The article analyzes the innovative activities of Russian enterprises that ensure the improvement of environmental safety, environmental protection and rational use of natural resources. Since the environmental safety of Russian regions is influenced by their sectoral structure of economic activity, a cluster analysis of Russian regions by the prevailing type of economic activity is carried out within the framework of the author’s methodology. As a result of clustering, 7 clusters were identified. The assessment of the eco-investments’ impact on the environmental safety of territories was carried out using the example of cluster 1 "Industrial- diversified regions". A regression analysis of the assessment of the eco-innovations’ impact on the environmental safety of regions was carried out using the example of the leading regions in cluster 1 in terms of the volume and dynamics of costs for eco-innovations. The constructed models demonstrate a significant relationship between the eco-innovation activities of enterprises in the evaluated regions and the costs of its implementation and regional environmental safety.
Epistemological surveillance and the Bourdieusian approach in the accounting field

Resumo Têm aumentado os estudos com temáticas totalmente diferenciadas na área contábil, alguns mais extravagantes e outros mais inofensivos. Contudo, em ambos os casos, é necessário dar atenção e domínio ao assunto para produzir novos conhecimentos com clareza e coerência. É isso que o sociólogo francês Pierre Bourdieu denomina, em linhas gerais, de vigilância epistemológica. Notadamente a teoria de Bourdieu, em especial a do campo, capital e habitus, tem sido utilizada nas mais diversas áreas do conhecimento e, nos últimos anos, com alguma preeminência na área contábil, mesmo que de modo secundário, como complemento conceitual. Por meio da vigilância epistemológica, recomendada por Bourdieu, este ensaio teórico teve por objetivo analisar a coerência na utilização da abordagem bourdieusiana no campo contábil, bem como indicar novas possibilidades de estudos, tendo como ponto de partida algumas pesquisas já realizadas. Com base na obra desse autor e de alguns de seus seguidores, foi possível observar falta de coerência em algumas pesquisas, ou seja, aquilo que Bourdieu (2001) nominou de allodoxia.
Social Networking Services and Social Trust in Social Commerce: A PLS-SEM Approach

This study researches the mediating consequence of social trust (identification-based trust and information-based trust) on the relationship between social networking services (SNS) use and social commerce intention. The study also explores whether and how gender differences impact the use of SNS on endogenous constructs. The proposed research model is empirically examined using a sample of 170 consumers who have had a prior online shopping experience. The statistical analysis employs partial least squares structural equation modelling (PLS-SEM) methods such as PLS algorithm, model assessments, PLS predict, PLS goodness-of-fit, invariance assessment and multi-group analysis, and importance-performance map analysis. The study provides empirical insights into the effects of SNS on social trust towards s-commerce intention. Also, men and woman consumers are found to exhibit different emphases in using SNS to trust the s-commerce.
Predicting tropical tree mortality with leaf spectroscopy

Do tropical trees close to death have a distinct change to their leaf spectral signature? Tree mortality rates have been increasing in tropical forests, reducing the global carbon sink. Upcoming hyperspectral satellites could be used to predict regions close to experiencing extensive tree mortality during periods of stress, such as drought. Here we show, for a tropical rainforest in Borneo, how imminent tropical tree mortality impacts leaf physiological traits and reflectance. We measured leaf reflectance (400–2500 nm), light‐saturated photosynthesis (Asat), leaf dark respiration (Rdark), leaf mass area (LMA), and % leaf water across five campaigns in a six‐month period during which there were two causes of tree mortality: a major natural drought and a co‐incident tree stem girdling treatment. We find that prior to mortality, there were significant (p < 0.05) leaf spectral changes in the red (650–700 nm), the NIR (1,000–1,400 nm), and SWIR bands (2,000–2,400 nm) and significant reductions in the potential carbon balance of the leaves (increased Rdark and reduced Asat). We show that the partial least squares regression technique can predict mortality in tropical trees across different species and functional groups with medium precision but low accuracy (r2 of .65 and RMSE/mean of 0.58). However, most tree death in our study was due to girdling, which is not a natural form of death. More research is needed to determine if this spectroscopy technique can be applied to tropical forests in general.
Model Predictive Current Control Based on Virtual Voltage Vector Method for Parallel Three-Level Inverters

The parallel three-level neutral-point clamp (3L-NPC) inverters are widely solicited today to satisfy the higher power demand by using low-rated switching devices in industrial applications such as renewable power generation. With the 3L-NPC in parallel, the zero-sequence circulating current (ZSCC) occurs in the closed circuit and decreases the performances of the current response if the two 3L-NPCs share the same dc bus with no galvanic isolation at the ac side. From the analysis of the ZSCC equivalent circuit, the virtual voltage vectors are proposed and exploited by the finite control set model predictive control (FCS-MPC) for mitigating the ZSCC and improving the current accuracy. In order to keep the neutral-point balance and reduce the switching loss, the differential capacitor voltage and the average switching frequency are considered in the proposed MPC. An experimental platform based on the Simulink-Real-Time system is presented for further verification of the effectiveness of the proposed method. The simulation and the experimental results obtained under the proposed strategy show that the ZSCC is reduced to near zero, and the current response provided has lower THD.
Decision tree for enhancing maintenance activities with drones in the mining business

A drone (UAV, unmanned aerial vehicle) is no longer a toy, it is gaining bigger and bigger terrain in the industry as an everyday working tool. Equipped with sensors, thermal cameras, components and system software it most likely will be part of the solutions that continues streamlining the mining operations in the future. Data gathering of signals from sensors mounted on drones and other mining equipment such as mining vehicles creates conditions for monitoring, analysis and warning of possible risks and suggests how these can be avoided in due time. The experimental drone study conducted at an open pit mine Aitik, Boliden (Figure 1) in Sweden will be presented in this paper. Aitik is today the world's most efficient copper (Cu) open pit mine. The authors propose decision trees to support and enable the transformation into a completely autonomous mining operation. In combination with deep learning (DL), pattern recognition and artificial intelligence (AI) applications, creates the puzzle pieces to support mining operations to further increase their productivity and safety.
Effect of cashew nut shell liquid on rice growth and methane emission from paddy soil

ABSTRACT Rice cultivation and ruminants are the top two sources of methane (CH4), a potent greenhouse gas, in agriculture. The supplementation of ruminants with cashew nut shell liquid (CNSL), a by-product of the cashew nut industry, can reduce CH4 production through alteration of the rumen microbiota. To assess the effects of CNSL addition and its rate on rice growth and CH4 emissions from a paddy soil, we carried out four experiments. CNSL was added at 0 (control) to 1000 ppm by volume in water or agar. In 3-week in vitro anaerobic incubation of two soils, Fluvisol and Andosol, CNSL significantly (P < 0.05) reduced CH4 production dose-dependently, by 54–61% at 1000 ppm relative to the control. In 7-day seed germination testing, CNSL concentration did not affect the final germination percentage (96–99%). In 19-day early seedling growth, CNSL significantly increased the maximum root length by the same amount at all concentrations. In addition, the number of root hairs notably increased with increasing CNSL concentration. In pot culture of rice, the seasonal total CH4 emission was not affected by CNSL concentration. However, mixing CNSL at 1000 ppm with soil before transplanting tended to reduce the initial 30-day CH4 emission by 41%, whereas addition to surface water after plant establishment had no effect. Rice plant growth and dry matter production in pot cultivation were not affected by CNSL concentration. Altogether, the results indicate that CNSL addition can reduce CH4 production in a flooded paddy soil without major harm to rice growth. It is necessary to develop an effective method for the application of CNSL to paddy fields for enhancing the inhibitory effect of CNSL on soil CH4 emission.
A Comparison of Carbon and Water Vapor Gas Exchange Characteristics Between a Diploid and Highbush Blueberry

CO2 assimilation (A), leaf conductance to water vapor (gl), mesophyll conductance (gm), and water use efficiency (WUE) were compared for two cultivars of highbush (Vaccinium corymbosum L.) and a wild diploid lowbush blueberry species (Vaccinium darrowii Camp.) in response to PPF, CO2, temperature, and vapor pressure deficit (VPD) to determine if apparent tolerance of V. darrowii to high temperature and drought conditions resulted from differences in gas exchange characteristics. Cultivar differences between ‘Bluecrop’ and ‘Jersey’ in A were not significant when expressed on a leaf area, leaf dry weight, or total chlorophyll basis. Maximum CO2 assimilation rates for V. darrowii were about 35%, 50%, or 40% lower than highbush cultivars when expressed on a leaf area, leaf dry weight, or total chlorophyll basis, respectively. Differences between ‘Bluecrop’ and ‘Jersey’ were also non-significant for mesophyll conductance, transpiration, CO2 compensation points, and water use efficiency. CO2 assimilation maximized between 600-800 µmol·s–1·m–2 photosynthetic photon flux (PPF) for all three genotypes and the temperature optima ranged between 18° and 26°C for ‘Jersey’, 14° and 22° for ‘Bluecrop’, and 25° and 30° for V. darrowii. As temperature was increased from 20° to 30°, leaf conductance (gl) to water vapor was lower and water use efficiency was higher for V. darrowii, compared to ‘Bluecrop’ but not ‘Jersey’. There was a 50-65% reduction in gl as VPD was increased, but only 10–20% reduction was observed in A. Leaf conductance to water vapor was reduced for V. darrowii, which restricted intercellular CO2. Since crosses are possible between highbush and V. darrowii, it is possible that heat tolerance and/or drought resistance could be improved in Highbush blueberry through the incorporation of genes from V. darrowii.
Hybrid Nanofluid Flow over a Permeable Non-Isothermal Shrinking Surface

In this paper, we examine the influence of hybrid nanoparticles on flow and heat transfer over a permeable non-isothermal shrinking surface and we also consider the radiation and the magnetohydrodynamic (MHD) effects. A hybrid nanofluid consists of copper (Cu) and alumina (Al2O3) nanoparticles which are added into water to form Cu-Al2O3/water. The similarity equations are obtained using a similarity transformation and numerical results are obtained via bvp4c in MATLAB. The results show that dual solutions are dependent on the suction strength of the shrinking surface; in addition, the heat transfer rate is intensified with an increase in the magnetic parameter and the hybrid nanoparticles volume fractions for higher values of the radiation parameter. Furthermore, the heat transfer rate is higher for isothermal surfaces as compared with non-isothermal surfaces. Further analysis proves that the first solution is physically reliable and stable.
Dynamics of Entangled Linear Supramolecular Chains with Sticky Side Groups: Influence of Hindered Fluctuations

The design and effective application of supramolecular transient polymer networks based on the assembly of entangled polymer building blocks requires not only precise description of relaxation mechanisms of the chain segments but also inclusion of the kinetics of reversible formation and breakage of reversible supramolecular interactions. In this work we extend the tube-based time marching algorithm to the entangled associative polymers with sticky side groups, with special emphasis on the effect of hindered fluctuations, besides sticky Rouse and sticky reptation. Two different approaches are introduced for inclusion of hindered fluctuations comprising fluctuations with extra penalty for deeper segments and stepwise fluctuations by extra friction. It is shown that there is a transition zone in dynamic moduli between the characteristic lifetime of the stickers and emergence of the final relaxation slopes, which can be characterized by almost parallel drop of loss and storage moduli with slope of 0.5 that c.
Over-expansion of a coronal mass ejection generates sub-Alfvénic plasma conditions in the solar wind at Earth

Context. From May 24–25, 2002, four spacecraft located in the solar wind at about 1 astronomical unit (au) measured plasma densities one to two orders of magnitude lower than usual. The density was so low that the flow became sub-Alfvénic for four hours, and the Alfvén Mach number was as low as 0.4. Consequently, the Earth lost its bow shock, and two long Alfvén wings were generated. Aims. This is one of the lowest density events ever recorded in the solar wind at 1 au, and the least documented one. Our goal is to understand what caused the very low density. Methods. Large Angle and Spectrometric Coronagraph (LASCO) and in situ data were used to identify whether something unusual occurred that could have generated such low densities Results. The very low density was recorded inside a large interplanetary coronal mass ejection (ICME), which displayed a long, linearly declining velocity profile, typical of expanding ICMEs. We deduce a normalised radial expansion rate of 1.6. Such a strong expansion, occurring over a long period of time, implies a radial size expansion growing with the distance from the Sun to the power 1.6. This can explain a two-orders-of-magnitude drop in plasma density. Data from LASCO and the Advanced Composition Explorer show that this over-expanding ICME was travelling in the wake of a previous ICME. Conclusions. The very low densities measured in the solar wind in May 2002 were caused by the over-expansion of a large ICME. This over-expansion was made possible because the ICME was travelling in a low-density and high-velocity environment present in the wake of another ICME coming from a nearby region on the Sun and ejected only three hours previously. Such conditions are very unusual, which explains why such very low densities are almost never observed.
Generative Adversarial Network for Pansharpening With Spectral and Spatial Discriminators

The pansharpening problem amounts to fusing a high-resolution panchromatic image with a low-resolution multispectral image so as to obtain a high-resolution multispectral image. Therefore, the preservation of the spatial resolution of the panchromatic image and the spectral resolution of the multispectral image is of key importance for the pansharpening problem. To cope with it, we propose a new method based on a bidiscriminator in a generative adversarial network (GAN) framework. The first discriminator is optimized to preserve textures of images by taking as input the luminance and the near-infrared band of images, and the second discriminator preserves the color by comparing the chroma components Cb and Cr. Thus, this method allows to train two discriminators, each one with a different and complementary task. Moreover, to enhance these aspects, the proposed method based on bidiscriminator, and called MDSSC-GAN SAM, considers a spatial and a spectral constraint in the loss function of the generator. We show the advantages of this new method on experiments carried out on Pléiades and World View 3 satellite images.
Instruments for Screening Obstructive Sleep Apnea in Drivers of Commercial Vehicles: A Systematic Literature Review

Background: Undiagnosed Obstructive sleep apnea in commercial vehicle drivers has the potential to causetraffic accidents. Polysomnography is the gold standard for diagnosing obstructive sleep apnea, but it isexpensive, impractical, and not available in primary health services in the workplace.Objective: This systematic literature review aimed to identify and evaluate the Obstructive Sleep Apneascreening instruments that have been used on commercial vehicle drivers in the past 10 years.Method: A review was conducted to analyze the latest research related to the use of instruments for screeningObstructive Sleep Apnea in commercial vehicle drivers. Publications from December 2009 through December2019 were identified using EBSCO, Science Direct, ProQuest, SpringerLink, and SAGE Publications. Theresearch included was published in English and concerns the use of Obstructive Sleep Apnea screeningtools among commercial vehicle drivers (i.e., truck, taxi, commercial vehicle, and public transportationdrivers). The screening employed various questionnaires, the measurement of biological parameters (bodymass index [BMI], neck circumference, blood pressure, Mallampati score), and polysomnography. Eacharticle was analyzed according to these criteria, and its relevance was assessed.Result: The initial screening inclusion criteria produced 10 relevant studies. All the studies used instrumentsto screen Obstructive Sleep Apnea in commercial vehicle drivers, and they all indicate that using obstructivesleep apnea screening instruments is useful for identifying Obstructive Sleep Apnea cases in commercialvehicle drivers.Conclusion: The Obstructive Sleep Apnea screening instruments provided information through the use ofa questionnaire and the examination of biological parameters. The Berlin and STOP-Bang questionnaireshave good sensitivity and specificity, making them suitable tools for Obstructive Sleep Apnea screening incommercial vehicle drivers.
Anticancer Activity of Novel Molecules Based on Imidazo (4, 5-B) Pyridine. 3D-QSAR Study

Our objective is to study the relationship between the activities and structure, a 3D-QSAR study is applied to a set of 20 molecules for biological activity prediction derivatives. This study was conducted using the principal component analysis PCA method, the multiple linear regression method MLR and the artificial neural network ANN. The predicted values of activities are in good agreement with the experimental results. ACP is observed in the distribution of different molecules into two different groups. The relevant descriptors obtained from the ANN showed a correlation coefficient of 0.9606 models which is a good result. As a result of quantitative structure-activity relationships, we found that the model proposed in this study is constituted of major descriptors used to describe these molecules. The obtained results suggested that the proposed combination of several calculated parameters could be useful to predict the biological activity of derivatives of imidazo(4,5-b)pyridine.
Effect of Fiscal Policy on Human Capital in Thailand

Purpose: The purpose of this study aims to examine the composition effect of fiscal policy variables, labor effectiveness, Thailand’s innovation, public debt, and personal income on human capital. Design/Methodology/Approach: To achieve this purpose, regression models are used, with time series data, employed form 1985 to 2019. The simple model was employed to investigate the effect of fiscal policy and personal income toward both long-run and shortrun human capital. Findings: The results found that in the long run after changing fiscal policy, labor effectiveness, Thailand’s innovation, and personal income are positive coefficient and significant for human capital while public debt has a negative coefficient and is significant for human capital in Thailand. Only public debt and personal income are short run significant of human capital accumulation. Practical Implication: Based on the finding of this study, it recommended that appropriate fiscal policy is still worthwhile and fiscal policy authorities must use an effective framework to build the education system in order to improve human capital in Thailand. Originality/Value: Because of this finding, indicating how the effective roles both policy maker and lecturer in university including education pattern should be shaped and reformed. This finding will be the track to enhance labor performance in the long-term human capital and all part of involvement will be aware the future developing target of country in order to ultimately obtain the highest successful not only in Thailand’s labor bot also throughout the world particularly in developing countries.
Maximizing Transfer Efficiency with an Adaptive Wireless Power Transfer System for Variable Load Applications

Electronic devices usually operate in a variable loading condition and the power transfer efficiency of the accompanying wireless power transfer (WPT) method should be optimizable to a variable load. In this paper, a reconfigurable WPT technique is introduced to maximize power transfer efficiency in a weakly coupled, variable load wireless power transfer application. A series-series two-coil wireless power network with resonators at a frequency of 150 kHz is presented and, under a variable loading condition, a shunt capacitor element is added to compensate for a maximum efficiency state. The series capacitance element of the secondary resonator is tuned to form a resonance at 150 kHz for maximum power transfer. All the capacitive elements for the secondary resonators are equipped with reconfigurability. Regardless of the load resistance, this proposed approach is able to achieve maximum efficiency with constant power delivery and the power present at the load is only dependent on the input voltage at a fixed operating frequency. A comprehensive circuit model, calculation and experiment is presented to show that optimized power transfer efficiency can be met. A 50 W WPT demonstration is established to verify the effectiveness of this proposed approach.
Re-evaluating the presence of Carex microcarpa (Cyperaceae) in Italy based on herbarium material and DNA barcoding

Abstract Carex microcarpa (sect. Rhynchocystis) is a Central Mediterranean endemic known from Corsica, Sardinia and the Tuscan archipelago, that has been also reported from scattered localities in mainland Italy (Abruzzo, Lazio and Apulia). We tested by molecular means the identification of three specimens classified as C. microcarpa from continental Italy, as well as a voucher from the Montecristo island (Tuscany) and one from Sardinia, whose taxonomic identity could not be determined with certainty by morphological examination. We performed a DNA barcoding study based on four DNA regions (two nuclear, two plastid). Our results reveal that none of previous mainland Italian records corresponds to C. microcarpa, but to C. pendula, which also belong to section Rhynchocystis, and in other cases possibly to C. acutiformis, from a different species group (sect. Paludosae). The specimen from Montecristo island was confirmed to be C. microcarpa. We conclude that C. microcarpa is likely a Tyrrhenian endemic exclusively known with certainty in Corsica, Sardinia and the Tuscan Archipelago. The presence of C. microcarpa in the Italian peninsula remains highly doubtful and we recommend its exclusion from checklists. Our study highlights the utility of DNA barcoding approaches in Carex when a reliable morphology-based identification is not possible. Supplemental data for this article is available online at https://doi.org/10.1080/11263504.2021. 1897703 .