EVALUATION OF SWEET CHERRY CULTIVARS UNDER THE CONDITIONS FROM THE SILVOSTEPPE AREA IN MOLDOVA

The promotion of a cherry assortment with constant yield, low vigour of the trees, self-fertility and high productivity, resistance to biotic and abiotic factors and with ripening at the extremities of the cherries maturation season, represents a permanent concern of researchers. In this context, considering the current patrimonial situation and the perspectives of growing sweet cherry trees in the Iasi area, under a privatized agriculture, the selection of new cultivars to be introduced in the assortment requires a special attention. Analyzing the values of the fertility index during the three years of study (2018 – 2020) it was observed that all the cherry cultivars excepting ‘Kordia’ are highly fertility with values between 30.0% and 66.2%. The cultivars ‘Bucium’, ‘Croma’, ‘Van’, ‘Maria’, ‘Stella’, ‘Cătălina’, ‘Margonia’ and ‘George’ have large fruits (over 7 g and over 22.5 mm) and ‘Kordia’ (6.3 g and 21.1 mm), ‘Scorospelka’ (6.2 g and 22.3 mm), ‘Cetăţuia’ (6.0 g and 22.0 mm) and ‘Rivan’ (5.9 g and 21.6 mm) have small fruits. For ‘Scorospelka’, ‘Cetăţuia’ and ‘Rivan’, the fruits are large in comparison with other early cultivars. The values of soluble dry substance (SDS) varied between 13.6% (‘Scorospelka’ and ‘Rivan’) and 18.9% (‘Maria’). However, statistically, cultivars ‘Maria’ (18.9%), ‘Bucium’ (18.3%) and ‘George’ (18.1%) recorded superior values in comparison with all the other cultivars.

Multiple necking patterns in elasto-plastic rings subjected to rapid radial expansion: The effect of random distributions of geometric imperfections

In this paper we have investigated, using finite element calculations performed in ABAQUS/Explicit [1], the effect of ab initio geometric imperfections in the development of multiple necking patterns in ductile rings subjected to dynamic expansion. Specifically, we have extended the work of Rodríguez-Martínez et al. [33], who studied the formation of necks in rings with sinusoidal spatial perturbations of predefined amplitude and constant wavelength, by considering specimens with random distributions of perturbations of varying amplitude and wavelength. The idea, which is based on the work of El Maï et al. [4], is to provide an idealized modeling of the surface defects and initial roughness of the rings and explore their effect on the collective behavior and spacing of the necks. The material behavior has been modeled with von Mises plasticity and constant yield stress, and the finite element simulations have been performed for expanding velocities ranging from 10 m/s to 1000 m/s, as in ref. [33]. For each speed, we have performed calculations varying the number of imperfections in the ring from 5 to 150. In order to obtain statistically significant results, for each number of imperfections, the computations have been run with five random distributions of imperfection wavelengths. For a small number of imperfections, the variability in the wavelengths distribution is large, which makes the imperfections play a major role in the necking pattern, largely controlling the spacing and growth rate of the necks. As the number of imperfections increases, the variability in the wavelengths distribution decreases, giving rise to an array of more regularly spaced necks which grow at more similar speed. A key outcome is to show that, for a large number of imperfections, the number of necks formed in the ring comes closer to the number of necks obtained in the absence of ab initio geometric imperfections.

Fuzzy Logic Controlled Zeta Converter fed DC-Motor Drive System with reduced Steady-State-error

Zeta-converter finds a way between DC-source and DC-Motor to step-up and match the motor-voltage.This work proposes QBC between the DC source and DCM. The DC output is boosted by ZCS. The DC yield of ZC is provided to the DC-Motor. In-this-work, different-control-strategies for Zeta-Converter fed DC-Motor (ZC--DCM) such as „fractional-order-PID(FO--PID) controller‟, „Hysteresis-controller(HC)‟ & „-Fuzzy-logic- controller(F-LC)‟ is exploited to sustain the constant yield-speed of the ZC--DCM. Also, the load disturbance is introduced to analyze the performance of ZC--DCM driven by different controllers. “-The-simulation of ZC--DCM has been done utilizing -MATLAB/-Simulink-software”. The objective of the present work is to enhance the closed-loop response of ZC--DCM using suitable-controller. Outcome reveals that the F-L-based ZC--DCM has good-performance, when compared to the FO--PID &Hysteresis-controller based ZC--DCM.

Small Composition-X System of Air Flow & Solar with Novel SWAY Translate to Enhance the SWAY Quality

This work mainly focussed on the composition-X system which is a grouping of solar and air flow stamina sway generation techniques. Which is fresh and inexpensive for the forthcoming point of view? In this article a non-conventional stamina composition-X sway organization based on solar cell and air flow, and provides the stamina storage system. DC production of solar stamina conversion system (SECS) and translate DC yield of the air flow stamina conversion system (WECS) is served to the setup chopper which is functioning in closed-loop in-order to preserve constant yield sway in any eco-friendly situation. AIR FLOW comprises of air flow turbines with permanent magnet synchronous gen (PMSGx) and the solar system consists of PV cell The yield of the setup translate is feed to the mutual dc link, which is connected to the six pulsed Dc to AC _xs which convert its solar input to sine wave yield. The practical setup of the proposed model has been implemented and results are analysed in term of sway quality.

Use of Co-Solvents in Hydrothermal Liquefaction (HTL) of Microalgae

This study reviewed and summarized the literature regarding the use of alcohols during hydrothermal liquefaction (HTL) of algal biomass feedstocks. The use of both pure alcohols and alcohol-water co-solvents were considered. Based upon this review, laboratory experiments were conducted to investigate the impacts of different alcohol co-solvents (ethanol, isopropanol, ethylene glycol, and glycerol) on the HTL treatment of a specific saltwater microalga (Tetraselmis sp.) at two temperatures: 300 °C and 350 °C. Based on their performance, two co-solvents, isopropanol and ethylene glycol, were selected to explore the effects of varying solvent concentrations and reaction temperatures on product yields and biocrude properties. The type and amount of added alcohol did not significantly affect the biocrude yield or composition. Biocrude yields were in the range of 30–35%, while a nearly constant yield of 21% insoluble products was observed, largely resulting from ash constituents within the algal feedstock. The benefits of using alcohol co-solvents (especially isopropanol) were the reduced viscosity of the biocrude products and reduced rates of viscosity increase with biocrude aging. These effects were attributed mainly to the physical properties of the co-solvent mixtures (solubility, polarity, density, etc.) rather than chemical processes. Under the reaction conditions used, there was no evidence that the co-solvents participated in biocrude production by means of hydrogen donation or other chemical processes. Recovery and recycling of the co-solvent present various challenges, depending upon the type and amount of the co-solvent that is used. For example, glycol solvents are recovered nearly completely within the aqueous product stream, whereas simple alcohols are partitioned between the biocrude and aqueous product streams. In commercial applications, the slight benefits provided by the use of co-solvents must be balanced by the challenges of co-solvent recovery and recycling.

Metabolic mechanisms of interaction within a defined gut microbiota

Metabolic interactions among species are ubiquitous in nature, and the fitness costs and benefits they impose often reinforce and stabilize them over time. These interactions are of particular importance in the human gut, where they have functions ranging from enhancing digestion to preventing (or exacerbating) infections. The diversity and sheer number of species present lead to the potential for a multitude of metabolic interactions among species to occur. However, identifying the mechanism and consequences of metabolic interactions between even two species is incredibly challenging. Here, we develop, apply, and experimentally test a framework for identifying potential metabolic mechanisms associated with interspecies interactions. We perform pairwise growth and metabolome profiling of co-cultures of strains from the altered Schaedler flora (ASF), a defined murine microbiota. We then apply our novel framework, which we call the Constant Yield Expectation (ConYE) model, to dissect emergent metabolic behaviors that occur in co-culture. Using the ConYE model, we identify and interrogate an amino acid cross-feeding interaction that is likely to confer a growth benefit to one ASF strain (Clostridium sp. ASF356) in co-culture with another strain (Parabacteroides goldsteinii ASF519). We experimentally validate that the proposed interaction leads to a growth benefit for this strain via media supplementation experiments. Our results reveal the type and extent of emergent metabolic behavior in microbial communities and demonstrate how metabolomic data can be used to identify potential metabolic interactions between organisms such as gut microbes. Ourin vitrocharacterization of the ASF strains and interactions between them also enhances our ability to interpret and design experiments that utilize ASF-colonized animals. We anticipate that this work will improve the tractability of studies utilizing mice colonized with the ASF. Here, we focus on growth-modulating interactions, but the framework we develop can be applied to generate specific hypotheses about mechanisms of interspecies interaction involved in any phenotype of interest within a microbial community.