The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this present study, the cDNA of Bombus hypocrita vitellogenin (Vg) was cloned and sequenced. It is composed of 5,478 bp and contains an ORF of 1,772 amino acids within a putative signal peptide of 16 residues. The deduced amino acid sequence shows significant similarity with Bombus ignitus (95%) and Apis mellifera (52%) and a high number of conserved motifs. Close to the C terminus there is a GL/ICG...
We present a study of dipole-dipole interaction between silver nanowires trapped using optoelectronic tweezers. Measurement of the maximum repulsion force between nanowires and self-assembly of nanowires to achieve the lowest potential energy configuration are demonstrated.
We present a study of dipole-dipole interaction between silver nanowires trapped using optoelectronic tweezers. Measurement of the maximum repulsion force between nanowires and self-assembly of nanowires to achieve the lowest potential energy configuration are demonstrated.
Uncertainty during the period of software project development often brings huge risks to contractors and clients. Developing an effective method to predict the cost and quality of software projects based on facts such as project characteristics and two-side cooperation capability at the beginning of the project can aid us in finding ways to reduce the risks. Bayesian belief network (BBN) is a good...
Software project development has high failure rate. Software project risk management may gain a high rate of return in investment. Establishing an intelligent risk evaluation model for project will be valuable in the analysis and control of project risks. In this paper, we employed neural network (NN) and support vector machine (SVM) approaches to establish a model for risk evaluation in project development...
Software project development has high failure rate. Software project risk management may gain a high rate of return in investment. Establishing an intelligent risk evaluation model for project will be valuable in the analysis and control of project risks. In this paper, we employed neural network (NN) and support vector machine (SVM) approaches to establish a model for risk evaluation in project development...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.