Search results

The paper aims to examine the inhibition effect of NiO nanoparticles and the influence of liquid nitrogen immersion on the corrosion behavior of (NiO)_x(Bi_1.6 Pb_0.4)Sr₂Ca₂Cu₃O_10-δ and (NiO)_x (Bi, Pb 2223), where x = 0.00 and 0.05 Wt.% phase superconductor in 0.1 M Na₂SO₄ at 30°C.

This study was done using open-circuit potential electrochemical impedance spectroscopy, potentiodynamic polarization curves and chronoamperometry measurements.

Potentiodynamic polarization technique showed that NiO nanoparticles suppress both the anodic and cathodic parts of the polarization curves of (NiO)_x(Bi, Pb)-2223 superconductor in 0.1 M Na₂SO₄ solution. A significant enhancement in the corrosion resistance of the prepared superconductors is observed on immersing them in liquid nitrogen. This is owing to the fact that immersion in liquid nitrogen increases the volume contraction of the superconductor matrix, causing the shrinkage of the pores and voids present in the samples and thus reducing the active surface area for the dissolution of (NiO)_x(Bi, Pb)-2223 superconductor matrix.

This paper fulfills the need to investigate the corrosion behavior of superconductors and the influence of liquid nitrogen immersion on such behavior.

Learning styles based education is becoming influential at higher education institutions around the world. Learning styles are characteristics of how students prefer to learn; they draw their origin from both biological and experiential conditions that make each student unique in the way he/she learns. An important first step in improving learning is to identify or assess students’ learning styles, and there are several instruments that can be used for this purpose. This is necessary for teachers and students who wish to improve learning and study strategies. Students who perform poorly in a conventional educational setting may suffer from a mismatch of learning and teaching styles; for example kinesthetic learners may not adapt to learning by listening or by reading. When we teach tactual and/or kinesthetic students by talking, they focus for only a brief amount of time and then wander off into their own thoughts and quickly forget (Burke & Dunn, 2002). We can improve students’ academic performance by providing them with alternative strategies and activities that respond to their learning style needs (Dunn & Dunn, 1993). In spring 2008, the learning styles of over 700 Zayed University students were assessed using the BE (Building Excellence) survey developed by Rundle & Dunn. The data collected is being analyzed with a view to making recommendations for teachers, students and parents to improve students’ learning. This paper represents the first in a series of publications on this subject; it reviews the survey process, and focuses on the nature and learning preferences of ZU students in perceptual elements (e.g. visual, auditory) and cognitive elements (e.g. Analytic-sequential (left-brain) vs. Global-simultaneous (right-brain) preferences).

Corrosion is a major concern for many industries that use metals as structural or functional materials, and the use of corrosion inhibitors is a widely accepted strategy to protect metals from deterioration in corrosive environments. Moreover, the toxic nature, non-biodegradability and price of most conventional corrosion inhibitors have encouraged the application of greener and more sustainable options, with natural and synthetic drugs being major actors. Hence, this paper aims to stress the capability of natural and synthetic drugs as manageable and sustainable, environmentally friendly solutions to the problem of metal corrosion.

In this review, the recent developments in the use of natural and synthetic drugs as corrosion inhibitors are explored in detail to highlight the key advancements and drawbacks towards the advantageous utilization of drugs as corrosion inhibitors.

Corrosion is a critical issue in numerous modern applications, and conventional strategies of corrosion inhibition include the use of toxic and environmentally harmful chemicals. As greener alternatives, natural compounds like plant extracts, essential oils and biopolymers, as well as synthetic drugs, are highlighted in this review. In addition, the advantages and disadvantages of these compounds, as well as their effectiveness in preventing corrosion, are discussed in the review.

This survey stresses on the most recent abilities of natural and synthetic drugs as viable and sustainable, environmentally friendly solutions to the problem of metal corrosion, thus expanding the general knowledge of green corrosion inhibitors.

Soybean is potentially a rich source of protein and lipids along with isoflavone. However, the use of soybean is limited due to presence of anti-nutritional factors such as trypsin inhibitor, phytic acid, etc. The present study aimed at evaluation of Harit soya seeds of different treatments such as soaking, dehulling, germination, soaking+roasting and roasting in order to enhance its quality.

Harit soya seeds were utilized were soaked overnight and subjected for dehulling, germination for 3 days as well as roasting followed by drying to obtain fine powder for quality evaluation.

Dehulling and germination produce significant (p < 0.01) increase in protein, crude fiber, total chlorophyll, ascorbic acid, total phenolics, flavonoids and isoflavones while fat was decreased non-significantly. The highest value of 12.4 mg/100g, 5.3 mgGAE/g and 6.6 mg/g for ascorbic acid, total phenolics and isoflavones was found in germinated seeds. Also, the effect of soaking, roasting and their combination lead to significant decrease in the functional properties of the seeds. Anti-nutritional factors were significantly (p < 0.01) reduced in all forms of treated seeds while pepsin and trysin digestibility was enhanced during soaking, dehulling and germination with maximum value of 72.6 and 25.8%, respectively in germinated seeds.

Improvement in quality of evergreen variety of soybean using cost effective traditional methods

To the industrial application of intelligent and connected vehicles (ICVs), the robustness and accuracy of environmental perception are critical in challenging conditions. However, the accuracy of perception is closely related to the performance of sensors configured on the vehicle. To enhance sensors’ performance further to improve the accuracy of environmental perception, this paper aims to introduce an obstacle detection method based on the depth fusion of lidar and radar in challenging conditions, which could reduce the false rate resulting from sensors’ misdetection.

Firstly, a multi-layer self-calibration method is proposed based on the spatial and temporal relationships. Next, a depth fusion model is proposed to improve the performance of obstacle detection in challenging conditions. Finally, the study tests are carried out in challenging conditions, including straight unstructured road, unstructured road with rough surface and unstructured road with heavy dust or mist.

The experimental tests in challenging conditions demonstrate that the depth fusion model, comparing with the use of a single sensor, can filter out the false alarm of radar and point clouds of dust or mist received by lidar. So, the accuracy of objects detection is also improved under challenging conditions.

A multi-layer self-calibration method is conducive to improve the accuracy of the calibration and reduce the workload of manual calibration. Next, a depth fusion model based on lidar and radar can effectively get high precision by way of filtering out the false alarm of radar and point clouds of dust or mist received by lidar, which could improve ICVs’ performance in challenging conditions.