1,336 research outputs found

    Application of Encapsulation Technology: In Vitro Screening of Two Ficus carica L. Genotypes under Different NaCl Concentrations

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    Salinity stress represents an increasing issue for agriculture and has a great negative impact on plant growth and crop production. The selection of genotypes able to tolerate salt stress could be a suitable solution to overcome the problem. In this context, in vitro cultures can represent a tool for identifying the NaCl tolerant genotypes and quickly producing large populations of them. The possibility of exerting selection for tolerance to NaCl by using encapsulation technology was investigated in two genotypes of fig: 'Houmairi' and 'Palazzo'. The effects of five concentrations of NaCl (0, 50, 100, 150 and 200 mM) added to the artificial endosperm were tested on the conversion of synthetic seeds and on the growth of derived shoots/plantlets. Moreover, proline (Pro) and malondialdehyde (MDA), the enzymatic activities of catalase (CAT), guaiacol peroxidase (POD), and EL (Electrolytic Leakage), as well as the chlorophyll content, flavanols, anthocyanins, and Nitrogen Balance Index (NBI) were determined on shoots/plantlet. The obtained results clearly showed that 'Houmairi' and 'Palazzo' could tolerate salt stress, although a strong difference was found depending on each specific physiological pathway. Indeed, 'Houmairi' was revealed to be more tolerant than 'Palazzo', with different response mechanisms to salt stress. The use of encapsulated vitro-derived explants proved to be a useful method to validate the selection of genotypes tolerant to salinity stress. Further investigation in the field must validate and confirm the legitimacy of the approach

    Amarelli's Industry 4.0 Transformation with IoT and Digital Advertisement: Optimizing Operations and Engaging Customers

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    This paper presents a vertical IoT solution for Amarelli, a licorice producing company, aiming to optimize their operations and enhance their customer engagement through the integration of IoT technology, Enterprice Resource Planning (EPR) system, e-commerce and social media advertising. The proposed solution includes several key components, such as IoT-enabled production monitoring, warehouse monitoring, RFID tracking, and real-time data analysis. The solution also integrates an ERP system, to provide business intelligence and e-commerce combination to enhance online presence and customer engagement through social media advertising. This vertical solution will enable Amarelli to improve efficiency, productivity, and profitability, while also providing valuable insights into customer preferences and purchasing behavior. The implementation of this solution will position Amarelli at the forefront of Industry 4.0, and help the company to stay competitive in today's rapidly evolving marketplace

    High-fidelity simulations of CdTe vapor deposition from a new bond-order potential-based molecular dynamics method

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    CdTe has been a special semiconductor for constructing the lowest-cost solar cells and the CdTe-based Cd1-xZnxTe alloy has been the leading semiconductor for radiation detection applications. The performance currently achieved for the materials, however, is still far below the theoretical expectations. This is because the property-limiting nanoscale defects that are easily formed during the growth of CdTe crystals are difficult to explore in experiments. Here we demonstrate the capability of a bond order potential-based molecular dynamics method for predicting the crystalline growth of CdTe films during vapor deposition simulations. Such a method may begin to enable defects generated during vapor deposition of CdTe crystals to be accurately explored

    ALPINE FARM SCALE INVESTIGATIONS OF THE RELATIONSHIPS BETWEEN PRODUCTIVE SYSTEM AND QUALITY OF DAIRY PRODUCTS

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    Alpine dairy farming is shifted from an extensive activity based on pasture and low genetic merit cow to an intensive system with specialized breeds and increasing level of concentrate as a supplement in the diet. As a main consequence, a lower echo-compatibility could determine adverse externalities on environment and quality of dairy products. Considering 18 dairy farming located in the mountain area of Veneto Region (Italy), the Environmental Summarizing Indicator (ESI) was estimated by using agronomic and dairying variables. Results indicated that variability of ESI was manly due to productive performance of dairy cows probably because there was a lack of information in the assessment of pasture characteristics. However, higher level of ESI were closely related to the increase of N-phile species and/or less attractive vegetation for grazing cows, even if the indicator seems to explain only a limited part of the variability of the phenomenon. The increase of ESI values seemed to lead to a loss of nutritive value of milk because of the incidence of health favourable fatty acids was reduced

    Effect of period of milk production and ripening on quality traits of Asiago cheese

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    After 6 and 12 months of ripening, samples of Asiago d'Allevo were analyzed for quality traits. Cheeses were produced during 3 periods using milk from cows fed a total mixed ration (TMR, May) or grazing on alpine pasture (AG) in early (July) and late (Sept.) summer. Data were submitted to ANOVA considering ripening, milk production period and farm as main effects, and whole cheese weight as covariate. During ripening, pH of AGcheese was significantly lower than that of TMR-cheese; crude fat and protein significantly increased. According to period, July-samples showed the significantly lowest value of dry matter (DM), maybe due to a lower crude fat content; however, variability in skimming method could have altered proximate composition. No texture differences were found, although increasing weight of whole cheese significantly reduced max shear force as result of a lower DM content. Lightness (L*) and yellowness (b*) significantly decreased during ripening. AG feeding system caused a lower L* and higher b* than TMR one, probably as a consequence of a different amount of milk pigments. Cheese varied also within AG season: Sept.-samples showed the lowest L* value and the highest b*

    Adiabatic evolution of a coupled-qubit Hamiltonian

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    We present a general method for studying coupled qubits driven by adiabatically changing external parameters. Extended calculations are provided for a two-bit Hamiltonian whose eigenstates can be used as logical states for a quantum CNOT gate. From a numerical analysis of the stationary Schroedinger equation we find a set of parameters suitable for representing CNOT, while from a time-dependent study the conditions for adiabatic evolution are determined. Specializing to a concrete physical system involving SQUIDs, we determine reasonable parameters for experimental purposes. The dissipation for SQUIDs is discussed by fitting experimental data. The low dissipation obtained supports the idea that adiabatic operations could be performed on a time scale shorter than the decoherence time.Comment: 10 pages, 4 figures, to be pub.in Phys Rev
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