Miracle-dz/UniFAR-FTUs huggingface dataset:
Phenolic Characterization of Sicilian Yellow Flesh Peach (Prunus persicaL.) Cultivars at Different Ripening Stages

Yellow flesh peaches (Prunus persica L.) from different Sicilian areas (Leonforte, Riesi and Maniace) were investigated for the first time for their polyphenolic composition, with consideration of both peel and flesh tissues. The qualitative and quantitative polyphenolic evaluation was determined at two different maturity stages (commercial and postharvest ripening) via chromatographic separation by using reverse-phase HPLC-PDA-ESI/MS 2. This technique provides a comprehensive chromatographic evaluation of 10 compounds (hydroxycinnamates and flavonols), differently distributed in the analyzed tissues. Overall, the hydroxycinnamates were present in both pulp and peel, while flavonols resulted exclusively located in the peel. Peels were found to be richest in polyphenolics with respect to the pulps, containing up to 276 mg/kg fresh weight in Riesi commercial-ripe peaches. Generally, the peach tissues from commercial-ripe fruits showed higher phenolics contents than postharvest-ripe fruits. Practical Applications It is well documented that the benefits due to the consumption of fruit can be largely attributed to the elevated content of phenolic compounds. High levels of phenolic compounds in fruits are of high importance to maintain the quality of fruits and provide consumers the health benefits of fruit consumption. Thus, the assessment of the distribution of phenolic compounds in various parts of the peach fruit and any variations due at the time of collection are considered interesting from a scientific point of view. The characterization of peach phenolics could represent a useful tool in the area of food authenticity protection since some compounds could represent specific quality markers. Moreover, a study on phenolics quantification at different ripening stages could provide useful information for assessing the fruit harvest timing in order to ensure the best fruit quality.
Polymer-Based 3-D Printed 140-220 GHz Low-Cost Quasi-Optical Components and Integrated Subsystem Assembly

Few examples of individual polymer-based 3-D printed quasi-optical component types have been previously demonstrated above ca. 100 GHz. This paper presents the characterization of polymer-based 3-D printed components and complete subsystems for quasi-optical applications operating at G-band (140 to 220 GHz). Two low-cost consumer-level 3-D printing technologies (vat polymerization and fused deposition modeling) are employed, normally associated with microwave frequencies and longer wavelength applications. Here, five different quasi-optical component types are investigated; rectangular horn antennas, 90° off-axis parabolic mirrors, radiation absorbent material (RAM), grid polarizers and dielectric lenses. As an alternative to conventional electroplating, gold-leaf gilding is used for the polarizer. A detailed investigation is undertaken to compare the performance of our 3-D printed antennas, mirrors and RAM with their commercial equivalents. In addition, a fully 3-D printed, RAM-lined housing with central two-axis rotational platform is constructed for performing two-port measurements of a quasi-optical horn-mirror-polarizer-mirror-horn subsystem. Measured results generally show excellent performances, although the grid polarizer is limited by the minimum strip width, separation distance and metallization thickness. The ultra-low cost, ‘plug and play’ housing is designed to give a fast measurement setup, while minimizing misaligning losses. Its RAM lining is designed to suppress reflections due to diffraction from components under test that may cause adverse multi-path interference. Our work investigates each component type at G-band and integrates them within subsystem assemblies; operating at frequencies well above those normally associated with low-cost consumer-level 3-D printing technologies. This opens-up new opportunities for rapid prototyping of complete low-cost front-end quasi-optical upper-millimeter-wave subsystems.
Quantitative Structure‐Activity Relationships for Antimicrobial Nitroheterocyclic Drugs

The antimicrobial activity of a series of nitro-heterocyclic drugs was determined and correlated with a number of physicochemical properties. The best correlation is found with the polarographic half-wave potential, while the partition coefficient and LUMO-values contribute poorly to the relationship. The value of the dipole moments can be used to discriminate between active 2-nitro and 5-nitroimidazoles and inactive 4-nitroimidazoles. Free-Wilson analysis emphasizes the need of structural parameters like the presence of the nitro group in position 2 or 5 or a methyl substituent on the imidazole ring. The activity is enhanced by a vinyl group in position 2 and is decreased by the presence of a phenyl substituent.
Data-Driven Decision Support for Optimizing Cyber Forensic Investigations

Cyber attacks consisting of several attack actions can present considerable challenge to forensic investigations. Consider the case where a cybersecurity breach is suspected following the discovery of one attack action, for example by observing the modification of sensitive registry keys, suspicious network traffic patterns, or the abuse of legitimate credentials. At this point, the investigator can have multiple options as to what to check next to discover the rest, and will likely pick one based on experience and training. This will be the case at each new step. We argue that the efficiency of this aspect of the job, which is the selection of what next step to take, can have significant impact on its overall cost (e.g., the duration) of the investigation and can be improved through the application of constrained optimization techniques. Here, we present DISCLOSE, the first data-driven decision support framework for optimizing forensic investigations of cybersecurity breaches. DISCLOSE benefits from a repository of known adversarial tactics, techniques, and procedures (TTPs), for each of which it harvests threat intelligence information to calculate its probabilistic relations with the rest. These relations, as well as a proximity parameter derived from the projection of quantitative data regarding the adversarial TTPs on an attack life cycle model, are both used as input to our optimization framework. We show the feasibility of this approach in a case study that consists of 31 adversarial TTPs, data collected from 6 interviews with experienced cybersecurity professionals and data extracted from the MITRE ATT&CK STIX repository and the Common Vulnerability Scoring System (CVSS).
An ESS-Based Approach for Mitigation of REGs Temporary Overvoltage Caused by UHVDC Commutation Failure

Successive commutation failure of UHVDC transmission system leads to a serious temporary overvoltage in sending-side grid, and may cause cascading tripping of renewable energy generators (REGs) nearby. The low-voltage stage before overvoltage stage forces REGs into the LVRT. Both the decrement of active power and the redundancy of reactive power during LVRT contribute to the later overvoltage. As a flexible tool to control active and reactive power within four quadrants, the electrochemical energy storage is utilized to mitigate the temporary overvoltage issue in this paper. The characteristics of bus voltage and power output of renewable energy during UHVDC commutation failure are analyzed. Based on these characteristics, the control strategies for active and reactive power of energy storage system (ESS) are proposed. Application results of a practical power system in Northwest China show that the ESS-based approach can effectively mitigate temporary overvoltage and prevent cascading tripping failures of renewable energy generators.
Millimetre-wave electronic spectrum of the D2+ ion

We have extended our earlier microwave and IR measurements of the 2pσu–1sσg electronic spectrum of D2+ into the millimetre-wave region of the spectrum, and report the measurement of a further eight vibration-rotation components. The measured transition frequencies and the nuclear hyperfine splittings are very close to those predicted by the best ab initio calculations.
Charge transport in photocathodes based on the sensitization of NiO nanorods

Crystalline NiO nanorods with average diameters of sub-10 nm were fabricated through a classical nanocasting process, using mesoporous SiO2 as a template. Mesoporous NiO films utilizing these nanorods, compared to films prepared from commercial NiO nanoparticles, had similar surface area but narrower pore size distribution. When used as dye-sensitized photocathodes, NiO nanorod films improved the fill factor to 0.42 and enhanced photovoltage to 300 mV under full sun illumination. An overall efficiency of 0.4% was achieved with a thin photocathode film of approximately 1.7 μm thickness which presents an over 30% enhancement when compared with the p-type DSC using the same thickness of commercial nanoparticles.
Explicit Roles of Au and TiO2 in a Bifunctional Au/TiO2 Catalyst for the Water‐Gas Shift Reaction: A DFT Study

The water–gas shift reaction has been investigated by using DFT applied to Au(1 0 0), stepped Au(3 1 0), and TiO2 anatase (0 0 1) surfaces. The results show that neither Au nor TiO2 can catalyze the reaction by themselves. Of CO, CO2, H2O, and H2, only CO adsorbs with moderate adsorption energy at low‐coordinated sites, whereas other molecules interact only weakly with Au. The activation of H2O is impossible on Au surfaces. However, H2O adsorbs dissociatively on the anatase (0 0 1) surface and the diffusion of OH and H is feasible. The energetic data indicate that the rest of the process is possible on the Au surface. Two mechanisms were investigated and compared for the water–gas shift reaction, with H2O dissociation on the TiO2 surface and diffusion of OH and H on Au surfaces in common. The latter is, in principle, the rate‐limiting step. The first mechanism occurs through the disproportionation of two OH groups on Au into H2O and an O atom. The latter reacts with CO. In the alternative mechanism, CO combines with OH to give a COOH intermediate, which subsequently reacts with another OH group to form CO2 and H2O. Finally, H atoms recombine on the Au surface to complete the catalytic cycle.
Theoretical Study on Microwave Freeze-Drying of an Aqueous Pharmaceutical Excipient with the Aid of Dielectric Material

Abstract A mathematic model of simultaneous heat and mass transfer for the dielectric material assisted microwave freeze-drying was derived and solved numerically using the finite-deference technique with two moving boundaries. Lactose, a typical pharmaceutical excipient, was used as the representative solid material in the aqueous solution to be freeze-dried. Silicon carbide (SiC) was selected as the dielectric material. Numerical results show that the dielectric material can significantly enhance the microwave freeze-drying process. Under typical operating conditions, the drying time is 43% shorter than that of ordinary microwave freeze-drying. Temperature variations at sublimation fronts were examined in order to determine the appropriate microwave power input. Profiles of temperature, ice saturation, vapor concentration, and pressure during freeze-drying are presented, and rate-controlling mechanisms are discussed.
Numerical simulations of absorption properties of InP nanowires for solar cell applications

In this paper, we present results of optical simulations on the absorption of nanowires. The simulation was performed with rigorous coupled wave analysis to determine the potential of nanowires for use in a new kind of nanostructured solar cell. The overall absorption of the solar cell structure was calculated for four different diameters of the nanowires and also in dependence of light wavelength and nanowire period. Absorption modes were observed at distinct wavelengths, but not dependent on the wire period. To derive a local optical generation function for a nanowire solar cell, the spatially resolved absorption profile was modelled for two wire periods. The calculated generation profiles can be readily used as input for an electrical simulation of a nanowire solar cell to calculate its quantum efficiency and the current–voltage characteristics. Copyright © 2011 John Wiley & Sons, Ltd.
Synthesis of New β‐Hydroxy Nitrate Esters as Potential Glycomimetics or Vasodilators

New β-hydroxy nitrates have been synthesized by the ring-opening reaction of epoxides with Bi(NO3)3·5H2O, which was used both as a catalyst and reagent. The synthesized molecules are both potential cyclitol mimetics and vasodilators as a result of their hydroxy groups and nitrate esters. (© Wiley-VCH Verlag GmbH & Co. KGaA, 69451 Weinheim, Germany, 2008)
The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions

Abstract. The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1) is a modeling framework for estimating fluxes of biogenic compounds between terrestrial ecosystems and the atmosphere using simple mechanistic algorithms to account for the major known processes controlling biogenic emissions. It is available as an offline code and has also been coupled into land surface and atmospheric chemistry models. MEGAN2.1 is an update from the previous versions including MEGAN2.0, which was described for isoprene emissions by Guenther et al. (2006) and MEGAN2.02, which was described for monoterpene and sesquiterpene emissions by Sakulyanontvittaya et al. (2008). Isoprene comprises about half of the total global biogenic volatile organic compound (BVOC) emission of 1 Pg (1000 Tg or 1015 g) estimated using MEGAN2.1. Methanol, ethanol, acetaldehyde, acetone, α-pinene, β-pinene, t-β-ocimene, limonene, ethene, and propene together contribute another 30% of the MEGAN2.1 estimated emission. An additional 20 compounds (mostly terpenoids) are associated with the MEGAN2.1 estimates of another 17% of the total emission with the remaining 3% distributed among >100 compounds. Emissions of 41 monoterpenes and 32 sesquiterpenes together comprise about 15% and 3%, respectively, of the estimated total global BVOC emission. Tropical trees cover about 18% of the global land surface and are estimated to be responsible for ~80% of terpenoid emissions and ~50% of other VOC emissions. Other trees cover about the same area but are estimated to contribute only about 10% of total emissions. The magnitude of the emissions estimated with MEGAN2.1 are within the range of estimates reported using other approaches and much of the differences between reported values can be attributed to land cover and meteorological driving variables. The offline version of MEGAN2.1 source code and driving variables is available from http://bai.acd. ucar.edu/MEGAN/ and the version integrated into the Community Land Model version 4 (CLM4) can be downloaded from http://www.cesm. ucar.edu/ .
Synthesis of a novel dendrimer core of oxo-vanadium phthalocyanine magnetic nano particles: as an efficient catalyst for the synthesis of 3,4-dihydropyrano[c]chromenes derivatives under green condition

A new magnetically recoverable nanocatalyst was synthesized by covalent binding of an amino vanadium oxo phthalocyanine, on the surface of silica coated magnetite nano particles with 3-chloropropyl moieties. Full characterization of the prepared nano catalyst was performed with different physicochemical methods such as FT-IR spectra, X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), atomic force microscope (AFM), and thermal gravimetric analysis (TGA), energy-dispersive X-ray spectroscopy (EDX), and vibrating sample magnetometry (VSM), Brunauer–Emmett–Teller (BET), X-ray fluorescence (XRF) and inductively coupled plasma (ICP). Finally, catalytic activity of the prepared Fe3O4@SiO2@SiO2(CH2)3@AVOPc was examined in the synthesis of 3,4-dihydropyrano[c]chromenes derivatives. The nano catalysts provided excellent catalytic activities to yield the desired products in short reaction time, mild and green conditions under solvent-free at room temperature. The catalysts could be easily separated from the reaction mixture by a magnet, and recycled eight consecutive cycles without any losing significant activities. Moreover, by this synthetic method, some novel 3,4-dihydropyrano[c]chromenes derivatives are prepared and characterized.
GENIC VARIATION AND ITS EVOLUTIONARY IMPLICATIONS IN THE ITALIAN NEWT,

Genic variation was studied in 103 individuals collected from 11 populations of the Italian newt, Triturus italicus, from peninsular Italy. Starch-gel and cellogel electrophoresis were used to study variation at 23 electromorphic loci, 14 of which were polymorphic. Geographically significant variation occurs at seven of the 14 loci, and the populations can be divided roughly into northern and southern units. Intermediate populations show increased heterozygosity and greater variability relative to more northern and more southern populations. The rather high value of F,, of 0.448 shows that extensive genetic subdivision exists, despite the relatively low genetic distances recorded among species (maximal value of Nei's D = 0.19). These results correlate well with studies of chromosomal polymorphism, and suggest that populations of the species were once separated and have come into relatively recent secondary contact. Results of this study are compared with a recent study of T. vulgaris. Amphibia; Caudata; Salamandridae; Triturus italicus; Electrophoresis; Allozymes; Genic differentiation
Performance Analysis and Study of Buck-Boost Converter

The renewable energy systems like solar, battery storage systems, electric vehicles and small-scale wind power plants requires with very fast and dynamic control converters to control transients occurring due to external and internal effects. The basic dc converters operate at very high switching speeds so that fast and effective control of power with less distortion in the load side voltage and current can be achieved. The buck-boost converters are preferably used to achieve less or more or equal to supply voltage. The size of the filter inductance decides mostly weight of the converter and reduced with increase of switching frequency. This paper shows the hardware and practical implementation of buck-boost regulator.
Development of a Transient Flow Aerosol Mixer-Heater System for Lung Delivery of Nasally Administered Aerosols Using a Nasal Cannula

Previous studies have demonstrated improved nose-to-lung aerosol drug delivery with controlled condensational growth methods using a mixer-heater developed to synchronize aerosol delivery with patient inhalation. The goal of this study was to develop a new mixer-heater that delivers aerosols with a transient flow profile similar to a sinusoidal breathing waveform. The mixer-heater consisted of a chamber with two blowers delivering aerosol during the inhalation cycle of three sinusoidal breathing profiles. The effects of breathing profiles and mode of condensational growth delivery were studied using two in vitro extrathoracic airway models (closed- and open-mouth options). In excipient enhanced growth (EEG) delivery mode, increasing peak exhalation breathing flow rate decreased the emitted dose from the mixer-heater using the closed-mouth model. The mean (SD) emitted doses were 92 (2)%, 77 (2)%, and 70 (2)%, with 23, 35, and 44 L/min peak exhalation breathing flow rates, respectively. Using the in vitro open-mouth model mitigated the effect of breathing and the emitted doses were 93 (0.5)%, 83 (3)%, and 90 (4)% using the breathing profiles. The emitted doses in enhanced condensational growth (ECG) delivery mode using the breathing profiles with peak flow rates of 23, 35, and 44 L/min were 63 (4)%, 58 (2)%, and 58 (1)%, which were consistently lower than with EEG. Similarly, using the open-mouth model in ECG mode increased emitted doses to 77 (3)%, 73 (2)%, and 77 (8)%, respectively. The developed aerosol mixer-heater delivered greater than 50% of the nominal dose using a flow profile of sinusoidal inhalation, which represents a significant improvement compared to the current methods. Copyright 2014 American Association for Aerosol Research
Practical and Scalable Access Control Mechanism for the Internet of Things

Internet of Things (IoT) promises a strong world connecting digital and physical enviromments. Nevertheless, such a framework comes with huge security and privacy vulnerabilities, due to the heterogeneous nature of devices and of the diversity of their provenance. Other noticeable, technical challenges in IoT are brought with the constrained resources of devices, forcing to design protocol as lightweight as possible. In this paper, we present a new system with access control key updates and direct user revocation, that are beneﬁcial features in IoT. Access control is done using Ciphertext-Policy Attribute-Based Encryption where attributes represent roles of devices within their networks. Moreover, we devise a novel approach, based on a binary tree, to append time credentials. This allows us to ﬁnd an interesting trade-oﬀ between key update frequency and user revocation list length, as well as stressing time-sensitive data exchanged in IoT environments. The security of our scheme is proved under the Decisional Bilinear Diﬃe-Hellman Exponent assumption. Future work will focus on the implementation and analysis of our solution, in order to conﬁrm that the latter is fully deployable in IoT networks.
The Mediating Role of Perceived Control and Desire for Control in the Relationship between Personality and Depressive Symptomology

Introduction: Depression constitutes a fundamental problem for society and understanding its aetiology is of unequivocal importance. Seminal theories implicated low perceived control, low desire for control and variations in personality factors in the manifestation of depression. This study, however, is the first to examine the mediating roles of both desire for control and perceived control in the relationship between personality and depressive symptomology. Methods: A sample of 350 participants, ranging from 18 to 67 years of age (M = 22.8, SD = 9.0), were recruited through Durham University’s social media pages. Participants completed the Revised NEO Personality Inventory, the Spheres of Control Scale, the Desire for Control Scale and Beck’s Depression Inventory. Results: Path analysis using Maximum-Likelihood Method indicated that desire for control and perceived control serially mediated the effect of extraversion, conscientiousness and agreeableness on depressive symptomology, with only neuroticism maintaining a direct effect. Extraversion and conscientiousness increased desire for control, whereas agreeableness diminished desire for control. Greater desire for control subsequently elevated perceived control, manifesting reductions in depressive symptomology. Discussion: This study provides novel evidence that desire for control and perceived control mediate the relationship between personality and depressive symptoms. The clinical implications are discussed, evaluating the potential efficacy of therapies that bolster desire for control.