607 research outputs found
Using Neural Networks In Software Metrics
Software metrics provide effective methods for characterizing software. Metrics have traditionally been composed through the definition of an equation, but this approach is limited by the fact that all the interrelationships among all the parameters be fully understood. Derivation of a polynomial providing the desired characteristics is a substantial challenge.
In this paper instead of using conventional methods for obtaining software metrics, we will try to use a neural network for that purpose. Experiments performed in the past on two widely
known metrics, McCabe and Halstead, indicate that this approach is feasible.neural networks, software metrics, halstead, mccabe
Un model geometric al legaturilor directe dintre fenomenele economice
Abstract. In this paper we approach the issue of the evolution of economic phenomena that influence one another. First of all, we introduce a geometric model to establish whether there is a direct influence between two economic phenomena. After this, we find out the strength of this influence and, finally, we suggest a model for the form of this influence.Key words: economic phenomenon; evolution; development; increase; decrease
PHYSIOLOGICAL MODIFICATIONS PRODUCED BY TAPHRINA DEFORMANS (BERK.) TUL. IN PERSICA VULGARIS MILLER CULTIVATED IN THE CLIMATIC CONDITIONS OF OLTENIA REGION
The researches regarding physiological modification produced in Persica vulgaris Miller due to the attack produced by Taphrina deformans (Berk.) Tul. were performed on Champion variety cultivated in the climatic conditions in Oltenia Region.In the leaves of the peach attacked by the pathogen it is observed that the physiological processes intensity presents specific variations due the damaging action of the pathogen and of the climatic conditions. The photosynthesis and transpiration’s intensity in the attacked leaves is similar to that in the healthy leaves, but the recorded values are lower due to the reduction of the assimilation surface of the leaf due to the appearance of reddish-yellow spots and tissue deformation. The attacked leaves present a decrease of chlorophyll and water content, fact manifested by withering and drying of the leaves
THE EFFECTS OF THE TREATMENT WITH FUNGICIDES ON THE PHYSIOLOGICAL PROCESSES IN VITIS VINIFERA L. ATTACKED BY UNCINULA NECATOR (SCHW.) BURR. PATHOGEN
The effects of treatment with fungicides on the physiological processes were observed in Vitis vinifera L. plants cultivated in the climatic conditions in Oltenia region.The physiological analyzes were performed on July 18th 2021, both for plants treated with Dithane M-45 (0,2%), in four phases, at 12 days interval and also for the plants attacked by Uncinula necator (Schv.) Burr. in which treatments have not been performed. In the Vitis vinifera L. plants attacked by Uncinula necator (Schv.) it was observed that the physiological processes intensity is lower as a result of the reduction of the assimilation surface due to the covering of the leaves with the mycelium of the fungus, the appearance of whitish spots and the browning of the tissues, in comparison with the plants in which fungicide treatments have been performed
PHYSIOLOGICAL PARTICULARITIES OF PLANTS FROM THE CRASSULACEAE FAMILY
The interest in research regarding plants from the Crassulaceae family has arisen with the discovery of the fact that they have the ability to absorb and fix carbon dioxide during the night because during daytime they keep their stomata closed in order to save water.The data presented in the paper reveals that these plants have high drought resistance, both by providing high osmotic pressure at the cellular level, and by regulating the gas exchange (water, carbon dioxide, oxygen) due to the prompt reaction of closure and opening of the stomata.Absorptionand saving water in this way is very important in the environmental conditions in which these plants live.
Mixing of spin and orbital angular momenta via second-harmonic generation in plasmonic and dielectric chiral nanostructures
We present a theoretical study of the characteristics of the nonlinear
spin-orbital angular momentum coupling induced by second-harmonic generation in
plasmonic and dielectric nanostructures made of centrosymmetric materials. In
particular, the connection between the phase singularities and polarization
helicities in the longitudinal components of the fundamental and
second-harmonic optical fields and the scatterer symmetry properties are
discussed. By in-depth comparison between the interaction of structured optical
beams with plasmonic and dielectric nanostructures, we have found that
all-dielectric and plasmonic nanostructures that exhibit magnetic and electric
resonances have comparable second-harmonic conversion efficiency. In addition,
mechanisms for second-harmonic enhancement for single and chiral clusters of
scatterers are unveiled and the relationships between the content of optical
angular momentum of the incident optical beams and the enhancement of nonlinear
light scattering is discussed. In particular, we formulate a general angular
momenta conservation law for the nonlinear spin-orbital angular momentum
interaction, which includes the quasi-angular-momentum of chiral structures
with different-order rotational symmetry. As a key conclusion of our study
relevant to nanophotonics, we argue that all-dielectric nanostructures provide
a more suitable platform to investigate experimentally the nonlinear
interaction between spin and orbital angular momenta, as compared to plasmonic
ones, chiefly due to their narrower resonance peaks, lower intrinsic losses,
and higher sustainable optical power
Controlling the Local Spin-Polarization at the Organic-Ferromagnetic Interface
By means of ab initio calculations and spin-polarized scanning tunneling
microscopy experiments we show how to manipulate the local spin-polarization of
a ferromagnetic surface by creating a complex energy dependent magnetic
structure. We demonstrate this novel effect by adsorbing organic molecules
containing pi(pz)-electrons onto a ferromagnetic surface, in which the
hybridization of the out-of-plane pz atomic type orbitals with the d-states of
the metal leads to the inversion of the spin-polarization at the organic site
due to a pz - d Zener exchange type mechanism. As a key result, we demonstrate
that it is possible to selectively inject spin-up and spin-down electrons from
the same ferromagnetic surface, an effect which can be exploited in future
spintronic devices
Frequency of Bullying Behaviours in Secondary Schools in Cluj-Napoca
“Bullying” is generally considered to be a specific form of aggressive behaviour. The aim of this paper is the investigation of gender and age-related bully and victim incidence in Cluj-Napoca secondary schools. A survey on bullying was completed by 264 students (141 girls and 123 boys; 112 students from grades 5-6 and 152 students from grades 7-8) with an age range between 10 and 14 years old. From the entire sample, results showed that 3.8% of the students bullied others once a week or more during the previous 3 months and 40.5% had been frequently bullied by other students once a week or more often during the previous 3 months. Considering the gender differences, girls showed a bullying behaviour more frequently than boys
Advanced and convencional magnetic resonance imaging in neuropsychiatric lupus.
Neuropsychiatric lupus is a major diagnostic challenge, and a main cause of morbidity and mortality in patients with systemic lupus erythematosus (SLE). Magnetic resonance imaging (MRI) is, by far, the main tool for assessing the brain in this disease. Conventional and advanced MRI techniques are used to help establishing the diagnosis, to rule out alternative diagnoses, and recently, to monitor the evolution of the disease. This review explores the neuroimaging findings in SLE, including the recent advances in new MRI methods
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