Jordan University of Science and Technology

About: Jordan University of Science and Technology is a education organization based out in Irbid, Irbid, Jordan. It is known for research contribution in the topics: Population & Medicine. The organization has 7582 authors who have published 13166 publications receiving 298158 citations. The organization is also known as: JUST.

Motion planning in the presence of directional and regional avoidance constraints using nonlinear, anisotropic, harmonic potential fields: a physical metaphor

Abstract: Motion planning, or goal-oriented, context-sensitive, intelligent control is essential if an agent is to act in a useful manner. This paper suggests a new class of motion planners that can mark a constrained trajectory to a target zone in an environment that need not necessarily be a priori known. The novelty of the suggested planner lies in its ability to enforce region avoidance and direction satisfaction constraints jointly. To the best of the authors' knowledge, this is the first time that directional constraints have been addressed in the motion planning literature. To build such a planner, the potential field approach is used for inducing the control action. In addition, to cope with the presence of the above constraints (in particular, the directional constraints), a new type of potential field, called the nonlinear anisotropic harmonic potential field, is suggested. The planner has applications in traffic management and operations research among others. Development of the approach, proofs of correctness, and simulation results are supplied.

Maternal periodontal status and preterm low birth weight delivery: a case-control study

Abstract: Objectives To assess the association between severity and extent of maternal periodontal disease and preterm birth/low birth weight (PLBW) among women in the north of Jordan.

Removal of Pb(II) ions from aqueous solutions by sulphuric acid-treated palm tree leaves

Abstract: The adsorption of Pb(II) ions on chemically activated carbon derived from palm tree leaves was investigated. The activated carbon (AC) was characterized by Infrared absorption spectroscopy (FTIR), Brunauer–Emmett–Teller (BET) method and Scanning Electron Microscopic (SEM) analysis. The surface area (S BET ), pore volume, and pore diameter of AC were determined by adsorption isotherms for N 2 . The effect of pH, equilibrated contact time, initial concentration of Pb(II), adsorbent dosage, and temperature were investigated. The maximum uptake of lead ion was obtained at pH 5.5 ± 0.3. The adsorption equilibrium was established after 180 min. The adsorption of lead ions by AC increased with its initial concentration in the medium, and reached a maximum at an approx. concentration of 100 mg Pb L −1 . Pseudo-first order and pseudo-second order kinetic models were applied to study the kinetics of the adsorption process. The pseudo-second order kinetic model provided the best correlation ( R 2 > 0.9981) with the experimental data. It was found that the adsorption of Pb(II) on AC correlated better with the Langmuir than with the Freundlich isotherm equation in the concentration range studied. The study indicates that date palm derived AC could be used as an efficient adsorbent for the removal of lead ions from aqueous solutions. A maximum removal efficiency of 98.6% Pb(II) was obtained at a 4 g L −1 solid-to-liquid ratio and an initial heavy metal concentration of 50 mg L −1 .

Paraphrase identification and semantic text similarity analysis in Arabic news tweets using lexical, syntactic, and semantic features

Abstract: The rapid growth in digital information has raised considerable challenges in particular when it comes to automated content analysis. Social media such as twitter share a lot of its users information about their events, opinions, personalities, etc. Paraphrase Identification (PI) is concerned with recognizing whether two texts have the same/similar meaning, whereas the Semantic Text Similarity (STS) is concerned with the degree of that similarity. This research proposes a state-of-the-art approach for paraphrase identification and semantic text similarity analysis in Arabic news tweets. The approach adopts several phases of text processing, features extraction and text classification. Lexical, syntactic, and semantic features are extracted to overcome the weakness and limitations of the current technologies in solving these tasks for the Arabic language. Maximum Entropy (MaxEnt) and Support Vector Regression (SVR) classifiers are trained using these features and are evaluated using a dataset prepared for this research. The experimentation results show that the approach achieves good results in comparison to the baseline results.

Wastewater irrigation effect on soil, crop and environment : A pilot scale study at Irbid, Jordan

Abstract: An investigation was carried out at pilot scale to test the feasibility of using the effluent of a rotating biological contactors (RBC) unit treating wastewater generated from a university campus. The objective of the study was to cerefully monitor the impact of wastewater irrigation on the soil, percolating water, crop growth and the pathogenic condition within the immediate vicinity of wastewater application.