Scientific documents are replete with measurements mentioned in various formats and styles. As such, in a document with multiple quantities and measured entities, the task of associating each quantity to its corresponding measured entity is challengi
ng. Thus, it is necessary to have a method to efficiently extract all measurements and attributes related to them. To this end, in this paper, we propose a novel model for the task of measurement relation extraction (MRE) whose goal is to recognize the relation between measured entities, quantities, and conditions mentioned in a document. Our model employs a deep translation-based architecture to dynamically induce the important words in the document to classify the relation between a pair of entities. Furthermore, we introduce a novel regularization technique based on Information Bottleneck (IB) to filter out the noisy information from the induced set of important words. Our experiments on the recent SemEval 2021 Task 8 datasets reveal the effectiveness of the proposed model.
In this article, we used the generalized Hamilton-Jacoby equation to study the
relative motion of the electron in the arbitrary electromagnetic field, depending on
the action function(the principle of the least action), taking into account the
rel
ationship between the Hamilton and Lagrange functions(H P v L ), starting
with the equations of energy and motion for electron in the theory of special
relativity, where the Lagrangian were chosen so that the principle of variation is
equal to zero, thus the Lagrange equation was verified. The first and second sets of
Hamilton's equations were obtained and then Hamilton's conservation law, ie
electron energy. Study of some applications of the Hamilton-Jacoby equation on the
free motion of the particle, circular motion and the adiabatic transformations was
discussed. Kepler problem of the hydrogen atom was then discussed in relativistic
theory. The equation of the motion path of the electron was calculated and the
energy of the vibration and the frequency of the vibration were calculated.
Let be a graph of order n. with vertices and edges .
A set D of vertices of a graph is called 2- dominating if every vertex has at least two neighbors in D. let denotes The 2- domination number of a graph G, , is the order of a smallest 2- dominatin
g set of G. In this paper, we found lower and upper bounds of 2- domination number of the cartesian product of two paths for m=6,7 and arbitrary n.
This paper presents the producing of touristic tour using tourist data and management
the data in GIS environment by using the extension network analyst in ARCGIS to find the
better time routine with time as obstacle. The base map was the tourist m
ap for Tartous
with scale 1:250 000.
DTM and several three dimension data was generated for studying area for helping
people to know nature of the area, by using the topographic map for Tartous with scale
1/250000 . Also, in this research the spatial tourist data base was generated for Tartous
province using GIS which contains data about road, town, ruins sites, services ( like oil
stations, restaurants and hotels and others serve the tourist).
Network analyst was applied on ruins sites in Tartous province to calculate the better
routine from the hotel to supposed several ruins sites.
The integration between tourist data and ArcGIS software with its extension
network analyst can help for obtaining better touristic services by determining the better
touristic tour to visit the desirable touristic sites in short time.
Robot navigation is challenging for building intelligence mobile robots. To find
Proper possible path from starting point to target point, that reduces time and distance,
avoiding collision with obstacles is a current potential research area. Rapid
ly exploring
random trees (RRTs)is considered as one of the fastest methods to find solutions.
Moreover, this algorithm is computationally efficient; therefore, it can be used in
multidimensional environments.
This paper reviews the RRT algorithm, and provides application of path planning to
differential robot in two different workspaces using Virtual Robot Experimentation
Platform) V-REP(simulator. This research clarifies the algorithm’s ability to find suitable
path in relatively short time, and demonstrated the ability of V-rep to model and 3D
simulate of mobile robot’s movement efficiently and smoothly.
The results of social market economy exercise in Syria have been arguably debated. Some took a firm stand in defending it, while others harshly criticized it. This research aims at providing an unbiased assessment of the social market economy exercis
e by reviewing some developmental indictors over the period 2005-2010. The outcomes of this research indicate that the failures outweighed the successes. Although, the social market economy exercise resulted in good rates of output growth, reduced the volume of the external debt, and increased the total foreign reserves. However, it failed in enhancing the structure of the Syrian economy, and in promoting a sustainable growth that is capable of matching the population rise. Also, it failed in creating a flexible labour market that provides jobs, and it failed in reducing poverty rates and improving purchasing power of the individuals.
We have a detailed analytical study of the Coulomb barrier, the concept of collision factor, the concept of the trajectory,
and the concept of grazing angle in a collision between heavy nuclei, and that for many of the symmetrical systems A1 equal
A2
and asymmetric systems A1 doesn't equal A2 .The results obtained and presented for the first time in this way, help to differentiate between the electric interaction and the nuclear reaction, and then determine the energy ejaculation that should be used in order to show the interaction to be studied. On the one hand, on the other hand this helps to choice the detector (or
detectors) that must be used in experimental work, and then where to put this detector (or these detectors).
