Miracle-dz/UniFAR-FTUs huggingface dataset:
Structural control of crumpled sulfur‐assisted reduced graphene oxide with elemental sulfur for supercapacitor

Crumpled graphene oxide (C‐GO), a three‐dimensional (3D) structured material, has many advantages that can be of value in high‐performance supercapacitor electrodes. However, graphene oxide loses its morphology and advantages during the solution reduction process with polar solvents, which leads to restacking of individual sheets. In this work, we introduce an eco‐friendly and simple C‐GO reduction method using elemental sulfur. Since sulfur is a nonpolar and antisolvent for the hydrophilic C‐GO, sulfur avoid interacting with the various groups of C‐GO that contains oxygen. Therefore, sulfur can be used as a reducing agent for C‐GO without destroying its crumpled structure. Moreover, when C‐GO is reduced by sulfur (crumpled sulfur‐assisted reduced graphene oxide [C‐SrGO]), it is assisted with sulfur molecules, which provide active sites for electrochemical reactions. Even better, sulfur can be used in place of hydrazine, which is a very toxic and unstable material. The structural and chemical advantages of C‐SrGO resulted in better electrochemical performance than C‐GO reduced by hydrazine (crumpled hydrazine‐reduced graphene oxide [C‐HrGO]). The C‐SrGO exhibited 260 F g−1 and the symmetric full cell remained above 88% of full capacity after 15 000 cycles. The results of our research demonstrate its potential as an electrode material for many various energy storage systems which are supercapacitors, catalysts, and lithium batteries.
Pseudomonas putida Isolation and Quantification by Real-Time PCR in Agricultural Soil Biodegradable Mulching

To reduce the plastic waste problem in agriculture, biodegradable plastic (BP) mulch films have become of key importance thanks to their biodegradability and beneficial effects on crops. However, at present, BPs cannot always replace conventional plastics, because biodegradation is governed by many biotic and abiotic factors under field conditions. This research aimed at isolating and identifying, from soil particles directly attached to the surface of BP samples, the microorganisms responsible of degradation through a combined approach based on biodegradation and molecular tests. For this purpose, a field trial within a Mediterranean apricot orchard was carried out to study the biodegradation of a commercial BP mulch with respect to a no-BP, a conventional apricot management, following the standard agricultural practices, and a subterranean clover cover cropping, either incorporating or leaving its dead mulches on the soil surface. After BP film appeared visibly degraded in field, we isolated from soil particles attached to the polymer surface, a mesophilic bacterium with certain degradative potential assessed by plate and liquid assays, identified by sequencing as Pseudomonas putida. Quantitative real time PCR analysis showed the P. putida was significantly more abundant in PB plots than the other plot treatments. These preliminary results are potentially applicable to accelerate the degradation of BP mulch films and decrease the plastic pollution in agriculture.
Determination of the Thermal Oxidation Stability and the Kinetic Parameters of Commercial Extra Virgin Olive Oils from Different Varieties

The use of olive oil with cooking purposes, as final seasoning or within cooked foods is increasing worldwide due to its numerous nutritional and health benefits. These attributes are mainly determined by olive oil chemical composition, which can be altered after thermal processing, oxidation processes, or incorrect practices. For this reason, and due to the numerous factors which have influence in olive oil quality, the correct chemical characterization is highly relevant. In this study, fatty acid composition of four extra virgin olive oil (EVOO) varieties was studied. The major fatty acid (FA) determined was oleic acid (77.1% on average), followed by palmitic (11.5% on average). In addition, thermal oxidation behaviour of the four EVOO samples was studied as an indicator of their quality and stability during thermal processing. This was performed through differential scanning calorimetry (DSC) from a temperature of 40°C at six different heating rates in the range of 0.5–10°C min−1. DSC records showed the same pattern and a small shoulder in the thermo-oxidation peak was present for all samples and all heating rates. The presence of initial and final oxidation products (by monitoring K232 and K270 values, respectively) was discarded according to the International Olive Council method.
From Domination of the Environment to Stewardship: A Historical Look at Denver Water's Public Communication 1933–2018

When most people think about the water coming from their kitchen faucets, they seldom consider where the water originates and how transporting it to their homes has environmental impacts. Utilities that supply water know the complexity of their systems, but from their position as a “utility,” they view their job as supplying safe water to their customers, not necessarily stewarding the environment. Consequently, when building large projects like dams, canals, and tunnels, utilities regard environmental disruption as a necessary byproduct of serving growing cities with water. Representations of these projects often replicate the “man conquering nature” frame, praising these engineering marvels for their defiance of nature. Denver Water, the utility that serves almost 1.5 million people on the arid eastern slope of the Colorado Rockies, has produced films describing its complex system since the early 20th century, and these films reveal an evolution of values from dominating nature to actively stewarding the environment. This paper reports on a grounded theory analysis of films produced by Denver Water between 1933 and 2018 examining how the films frame human relationships to the natural environment. The results reveal that the films increasingly express stewardship ideals over those of domination, with recent public communication actively advocating for environmental causes. The paper concludes by suggesting that we can learn important lessons from Denver Water about ethical organizational action for environmental stewardship.
High-performance lateral GaN Schottky barrier diode on silicon substrate with low turn-on voltage of 0.31 V, high breakdown voltage of 2.65 kV and high-power figure-of-merit of 2.65 GW cm−2

We demonstrate high-performance AlGaN/GaN lateral Schottky barrier diodes (SBDs) with Mo anode and low turn-on voltage of 0.31 V. AlGaN/GaN SBDs with anode to cathode spacing of 6/10/15/20/25 μm achieve a breakdown voltage (BV) of 0.83/1.23/1.62/2.46/2.65 kV, yielding a power figure-of-merit (FOM) of 1.53/1.82/1.77/2.65/2.12 GW cm−2. The power FOM of 2.65 GW cm−2 and BV of 2.65 kV are the best results of AlGaN/GaN SBDs on silicon substrate. Combined with the good dynamic performance with only 10% Ron increase when switched from a −600 V stress for 10 ms, GaN SBDs verify their great promise for future power electronic applications.
Experimental investigation and modeling of the separation of ternary mixtures by hydrophilic pervaporation

ABSTRACT In the course of the present study, the pervaporative dehydration of two ternary mixtures: ethanol/n-butanol/water and ethanol/ethyl acetate/water were investigated through hydrophilic polymer composite PERVAP 1210 membrane. The effects of temperature and the concentrations of water and organic components on permeation were studied through pervaporation experiments. The influence of Hansen solubility parameters of the components and mixtures on their permeation was also examined. It has been found that changes of organic ratios in the feed solution affect organic permeation due to mutual interactions and flux coupling. This interaction was built in a suggested semi-empirical mass-transport model for ternary mixtures with optional simplifications. The modeled partial fluxes are in good accordance with the measured values.
Fascia Thickness Increases Following Eccentric Exercise Leading to Delayed Onset Muscle Soreness

Background: The deep fascia fuses tightly with the skeletal muscle and, thus, may be damaged by eccentric loading. Methods: To study its possible involvement in delayed onset muscle soreness, 11 healthy participants (♂= 7; 24±2 years) performed fatiguing dumbbell elbow flexor eccentric exercise (EE) for one arm and concentric exercise (CE) for the other arm in random order and with random arm allocation. Before, immediately after and 24-96 hours post-exercise, maximal voluntary isometric contraction torque of the elbow flexors (dynamometer), pressure pain (algometer), palpation pain (100-mm visual analog scale), biceps brachii fascia thickness and fascia/muscle mobility during passive movement (both high-resolution ultrasound) were examined. Results: Palpation pain, suggestive of DOMS, was greater after EE than CE, and maximal voluntary isometric contraction torque decreased greater after EE than CE (p<.05). Relative to CE, EE increased fascia thickness at 48 (+17%), 72 (+14%) and 96 (+15%) hours post-exercise (p<.05). At 96 hours post-EE, the increase in fascia thickness correlated with palpation pain (r=.68; p<.05). Fascia mobility was not different between conditions, but compared to CE, muscle displacement increased at 24 (+31%), 72 (+31%), and 96 (+41%) hours post-EE (p<.05). Conclusion: Collectively, these results suggest an involvement of the deep fascia in delayed onset muscle soreness.
Measurement of Physical Activity Self-Efficacy in Physical Activity-Promoting Interventions in Adults: A Systematic Review

ABSTRACT Self-efficacy is a psychosocial determinant of physical activity in adults. Different scales have been used to measure physical activity self-efficacy. This review examines the theoretical and measurement quality of scales measuring physical activity self-efficacy in physical activity-promoting interventions. The search strategy was based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Studies were included if they measured physical activity self-efficacy in adults aged 18 to 65. One hundred sixteen studies were reviewed. Fourteen multi-item and five single-item scales were identified. The properties of the scales varied. The following issues were identified: (a) a lack of concordance between self-efficacy and physical activity measurement, (b) not specifying physical activity levels, (c) theoretically imprecise construct labels, (d) not emphasizing essential conceptual properties, (e) not reporting dimensionality and (f) the use of single-item measures. The scales showed good administrative properties. Recommendations are made to improve the measurement of physical activity self-efficacy.
A Simple Spatial Method for Identifying Point Clusters by Neighbourhood Relationships

Point events can be distributed regularly, randomly, or in clusters. A cluster of points is defined by the distance from which any point included in a cluster is farther from any other point outside the cluster. Many solutions and methods are possible to define clustering distance. I present here a simple method, nearest neighbour index clustering (NNIC), which separately identifies local clusters of points using only their neighbourhood relationships based on the nearest neighbour index (NNI). It computes a Delaunay triangulation among all points and calculates the length of each line, selecting the lines shorter than the expected nearest neighbour distance. The points intersecting the selected Delaunay lines are considered to belong to an independent cluster. I verified the performance of the NNIC method with a virtual and a real example. In the virtual example, I joined two sets of random point processes following a Poisson distribution and a Thomas cluster process. In the real example, I used a point process from the distribution of individuals of two species of Iberian lizards in a mountainous area. For both examples, I compared the results with those of the nearest neighbour cleaning (NNC) method. NNIC selected a different number of clustered points and clusters in each random set of point processes and included fewer points in clusters than the NNC method.
EFFECTS OF NOISE EMITTED BY MILITARY AIRCRAFT ON HOUSING CLOSE TO AN AIR BASE: THE CASE OF GANDO AIR BASE (SPAIN)

Assessing the impact of environmental externalities has become one of the essential aspects in making economic and urban planning decisions. Our goal focuses on the innovative assessment of noise pollution emitted by military aircraft located at Gando Air Base in 2012. Its impact on the housing market was analyzed for 6447 households affected by more than 55 decibels, limiting our study to three municipalities of Gran Canaria (Spain): Telde, Aguimes and Ingenio. We propose to test several specifications for the hedonic price model and we test among them. This is a basic pre-requisite to estimate the parameters needed to inform policy markets. Our preferred model is a semi-logarithmic specification. We conclude from its results that noise pollution emitted by military aircraft positively affects the price of housings in the area when they are between 55 and 70 decibels so the fact that a property is near a noise source is not in itself conclusive evidence of a loss of real state values.
Application of Bispectrum Diagonal Slice Feature Analysis in Tool Wear States Monitoring

Tool wear is unavoidable during machining, which is one of the most common tool failure modes. It is significant to evaluate the tool state quickly and effectively for timely tool change strategy. The cutting vibration signals after tool wear show strong non-Gaussian characteristics. Higher order spectrum is a powerful tool for analyzing the non-Gaussian characteristics of signals, and can restrain noise and provide more information than classical power spectrum analysis. This paper presents a milling tool wear state monitoring method based on higher order spectrum entropy. Due to the large amount of calculation of bispectrum, bispectrum diagonal slice is investigated. And the diagonal slice spectral entropy is proposed as tool wear indicator to monitor tool state. To verify the proposed method, cutting vibration signal of CNC machining center were collected and analyzed. The experimental results showed that the proposed approach can effectively monitor and diagnose the tool state, and has good robustness. It is feasible and effective for on-line monitoring milling tool wear.
Electron Lone-Pairs Stereochemistry and Drastic van der Waals and Pressure Effects in AsF3 from First Principles

AsF3E as a representative of a molecular crystal has been chosen to find the precise localization of the lone pair (LP) E centroid 4s2 of As3+ and to enlighten the behavior of lone pair triplets of fluorine atoms. Starting from stereochemistry rationale, Density Functional (DFT) electronic structure calculations yielding the electron localization (ELF) mapping led to precise large crystal structure evolutions from basic X-rays data (V = 267.2Å3 at 193K), to (V = 230.5Å3) and under Van der Waals forces (DEW) V = 206. 4Å3, and then under pressure P, all illustrated with ELF maps and band structures. Calibrated pressures up to 100 GPa exhibit the remarkable shrinking of all inter-atomic distances including As-E from 0. 94Å down to 0. 46Å, while the major three bonds As-F1, As-F2 and As-F3 are continuously expanding. The resulting picture of the application of pressure on AsF3 molecular structure leads to the progressive immersion of the 4s2 doublet within the electronic cloud with an original new status of As with its 4s2 E expressed as [AsE]3+. The expanded size becomes close to big LP-free K+, Ba2+ cations or LP characterized bismuth cation: [BiE]3+, which appear inserted in cubes or square anti-prisms with coordination number 8 (CN8) or in tricapped trigonal prisms with CN9.
Prevalence of mould in chicken meat-cuts, giblets and products with immunoaffinity detection of aflatoxin residues

Mould contamination and aflatoxin residues are considered big problems in the food chain, therefore 140 random samples of frozen chicken breast, thigh, gizzard, heart, liver, chicken burger, and chicken luncheon (twenty of each) were examined for detection of mould contamination level there proteolytic and lipolytic activity and aflatoxin residues in examined products. Mould colonies were detected in 100% and 30% of samples with mean values of 3.42±0.71 and 1.29±0.30 log10CFU/g in the chicken burger and chicken luncheon, respectively. The identified species were Aspergillus 76/140 (54.3%), Penicillium 39/140 (27.9%), Alternaria 35/140 (25%), Cladosporium 30/140 (21.4%), Rhizopus13/140 (9.3%), Acremonium 10/140 (7.1%), Mucor 9/140 (6.4%), Fusarium 7/140 (5%) and Sporotricum 7/140 (5%). Aspergillus niger, Aspergillus flavus, Aspergillus fumigatus, Aspergillus parasiticus, Aspergillus ochraceus and Aspergillus terrus were identified with total percentages of 53(37.9%), 25(17.9%), 21(15%), 5(3.5%), 5(3.5%) and 8(5.7%), respectively. The proteolytic and lipolytic activity detected in all species ranged between high, moderate and weak degrees except A. parasiticus shows only lipolytic activity. The examined samples had variable incidence and concentrations of aflatoxin residues as (20%) 1.49±0.53, (15%) 1.89±0.89, (55%) 8.79±14, (25%) 1.64±0.38, (20%) 2.3±0.72, (65%) 9.21±1.12 and (35%) 4.12±0.68 µg/ kg in frozen chicken breast, thigh, gizzard, heart, liver, chicken burger and chicken luncheon, respectively. Thus, strict hygienic measures during the production of chicken products must be adopted to minimize the deviation in their nutritional quality due to the growth of proteolytic and lipolytic mould, in addition, to protecting human health from the hazards of aflatoxin residues.
Moisture adsorption isotherms of baru almond flours

The whole meal (WBF) and partially defatted Baru almond (PDBF) flour have commercial and nutritional attractions. The study of the adsorption behavior is essential for correct storage. Thus, the objective was to determine the moisture adsorption isotherms for WBF and PDBF, at temperatures of 20, 30, and 35 °C, in the range of water activity from 0.070 to 0.975. The static gravimetric method was used. Fourteen models were adjusted to the experimental hygroscopic equilibrium humidity data. The GAB model better represented the moisture adsorption isotherms for WBF, while the BET model represented the PDBF. The curves of the two flours were classified as type III. Safe storage for WBF occurs at equilibrium humidity of 6.41, 7.12, and 7.49% d.b. , and for PDBF at 9.04, 9.26, and 9.41% d.b. , at the respective temperatures of 25, 30, and 35 °C.
Convolutional Neural Networks Inference Memory Optimization with Receptive Field-Based InputTiling

Currently, deep learning plays an indispensable role in many fields, including computer vision, natural language processing, and speech recognition. Convolutional Neural Networks (CNNs) have demonstrated excellent performance in computer vision tasks thanks to their powerful feature extraction capability. However, as the larger models have shown higher accuracy, recent developments have led to state-of-the-art CNN models with increasing resource consumption. This paper investigates a conceptual approach to reduce the memory consumption of CNN inference. Our method consists of processing the input image in a sequence of carefully designed tiles within the lower subnetwork of the CNN, so as to minimize its peak memory consumption, while keeping the end-to-end computation unchanged. This method introduces a trade-off between memory consumption and computations, which is particularly suitable for high-resolution inputs. Our experimental results show that MobileNetV2 memory consumption can be reduced by up to 5.3 times with our proposed method. For ResNet50, one of the most commonly used CNN models in computer vision tasks, memory can be optimized by up to 2.3 times.
Gas–particle partitioning of polyol tracers at a suburban site in Nanjing, east China: increased partitioning to the particle phase

Abstract. Gas–particle partitioning of water-soluble organic compounds plays a significant role in influencing the formation, transport, and lifetime of organic aerosols in the atmosphere, but is poorly characterized. In this work, gas- and particle-phase concentrations of isoprene oxidation products (C5-alkene triols and 2-methylterols), levoglucosan, and sugar polyols were measured simultaneously at a suburban site of the western Yangtze River Delta in east China. All target polyols were primarily distributed into the particle phase (85.9 %–99.8 %). Given the uncertainties in measurements and vapor pressure predictions, a dependence of particle-phase fractions on vapor pressures cannot be determined. To explore the impact of aerosol liquid water on gas–particle partitioning of polyol tracers, three partitioning schemes (Cases 1–3) were proposed based on equilibriums of gas vs. organic and aqueous phases in aerosols. If particulate organic matter (OM) is presumed as the only absorbing phase (Case 1), the measurement-based absorptive partitioning coefficients (Kp,OMm) of isoprene oxidation products and levoglucosan were more than 10 times greater than predicted values (Kp,OMt). The agreement between Kp,OMm and Kp,OMt was substantially improved when solubility in a separate aqueous phase was included, whenever water-soluble and water-insoluble OM partitioned into separate (Case 2) or single (Case 3) liquid phases, suggesting that the partitioning of polyol tracers into the aqueous phase in aerosols should not be ignored. The measurement-based effective Henry's law coefficients (KH,em) of polyol tracers were orders of magnitude higher than their predicted values in pure water (KH,wt). Due to the moderate correlations between log⁡(KH,em/KH,wt) and molality of sulfate ions, the gap between KH,em and KH,wt of polyol tracers could not be fully parameterized by the equation defining “salting-in” effects and might be ascribed to mechanisms of reactive uptake, aqueous phase reaction, “like-dissolves-like” principle, etc. These study results also partly reveal the discrepancy between observation and modeling of organic aerosols.
Microemulsions as Nanoreactors to Obtain Bimetallic Nanoparticles

Microemulsions are frequently used as nanoreactors for the synthesis of bimetallic nanoparticles. The ability to manipulate the metal distribution in bimetallic nanoparticles is essential for optimizing applications, and it requires a deeper understanding of how compartmentalization of reaction medium affects nanoparticle synthesis. A simulation model was developed to predict the atomic structure of bimetallic nanoparticles prepared via microemulsion in terms of metals employed and microemulsion composition. The model was successfully proved by compar-ing theoretical and experimental Au/Pt STEM profiles. On this basis, the model becomes a strong tool to further enhance our knowledge of the complex mechanisms governing reactions in microemulsions and its impact on final nanostructures. The purpose of this study is to perform a comprehensive kinetic analysis of coreduction of different couple of metals in the light of the interplay between three kinetic parameters: intermicellar exchange rate, chemical reduction rates of the two metals, and reactants concentration. The particular combination of these factors determines the reaction rate of each metal, which in turn determines the final metal arrangement.