This paper presents the results obtained by INMA Bucharest, following a research project, in which technology for harvesting and storing industrial hemp was developed. The equipment green stalks intended this tested an experimental plot grown with Dacia - Secuieni hemp. Operating indices (actual torque at power take-off, traction force drawbar, total effective to operate equipment, working spee...

The stalk of Carcliesium and Vorticella coils by the action of a contractile organelle. The organelle lies within a thread of cytoplasm which is encased in a complex extracellular tube. Study with the light microscope and the electron microscope suggests that the structure of the tube and the course of the organelle determine the form of the coiling. The contractile organelle contains a system ...

The end-of-season corn (Zea mays L.) stalk nitrate-N test was developed as a post-mortem to determine if excessive or insufficient N was available to the corn crop during the latter part of the season. The stalk section specified for the test was very specific, the 20 cm-long section between 15 and 35 cm above the soil. Under production conditions, it may not always be possible to collect this ...

The adhesion G protein-coupled receptors (aGPCRs) are a large yet poorly understood family of seven-transmembrane proteins. A defining characteristic of the aGPCR family is the conserved GAIN domain, which has autoproteolytic activity and can cleave the receptors near the first transmembrane domain. Several aGPCRs, including ADGRB1 (BAI1 or B1) and ADGRG1 (GPR56 or G1), have been found to exhib...

This study was conducted to assessthegenetic variety of 12 damask rosegenotypes of Kurdistan using morphological traits in Zaleh Research Farm affiliated to Kurdistan Province Agriculture Research Center. The experiment was carried out as a randomized complete block design with three replications and each replication included three stocks in each genotype. Results of analysis of variance showed...

One of the most dynamic research and application areas of neural networks is classification. In this paper, the use of matlab coding for simulation of backpropagation neural network for classification of Iris dataset is demonstrated. Fisher’s Iris data base collected from uci repository is used. The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plan...