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Effect of Palestinian Honey on Spermatogenesis in Rats
Abdul-Salam Abdul-Ghani,Nabil Dabdoub,Rateb Muhammad,Rula Abdul-Ghani,Munir Qazzaz 한국식품영양과학회 2008 Journal of medicinal food Vol.11 No.4
Treatment of male albino rats with 5% honey for 20 days had no significant effect on total body weight or on the relative weight of other organs like the testis, seminal vesicles, spleen, kidneys, liver, heart, or brain. The only significant change was a 17% increase in the relative weight of the epididymis (P ≤ .01). The relative weight of all the other organs was similar to those in control animals treated for the same period with drinking water. Treatment of rats for the same period with the same concentration of 5% sucrose produced no significant changes in absolute or relative weight of tested organs compared to control animals. The same treatment with Palestinian honey increased significantly the epididymal sperm count by 37% (P ≤ .05). The activity of testicular marker enzymes for spermatogenesis such as sorbitol dehydrogenase (SDH) was increased by 31% (P ≤ .05), and lactate dehydrogenase (LDH) was reduced by 48% (P ≤ .05), which indicates that treatment with honey induces spermatogenesis. Similar treatment with sucrose had no significant effect on any of the key enzymes or epididymal sperm count. In conclusion, our results show that ingestion of honey induces spermatogenesis in rats by increasing epididymal sperm count, increasing selectively the relative weight of the epididymis, and increasing SDH activity and reducing LDH activity.
Intelligent & Predictive Security Deployment in IOT Environments
Abdul ghani, ansari,Irfana, Memon,Fayyaz, Ahmed,Majid Hussain, Memon,Kelash, Kanwar,fareed, Jokhio International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.12
The Internet of Things (IoT) has become more and more widespread in recent years, thus attackers are placing greater emphasis on IoT environments. The IoT connects a large number of smart devices via wired and wireless networks that incorporate sensors or actuators in order to produce and share meaningful information. Attackers employed IoT devices as bots to assault the target server; however, because of their resource limitations, these devices are easily infected with IoT malware. The Distributed Denial of Service (DDoS) is one of the many security problems that might arise in an IoT context. DDOS attempt involves flooding a target server with irrelevant requests in an effort to disrupt it fully or partially. This worst practice blocks the legitimate user requests from being processed. We explored an intelligent intrusion detection system (IIDS) using a particular sort of machine learning, such as Artificial Neural Networks, (ANN) in order to handle and mitigate this type of cyber-attacks. In this research paper Feed-Forward Neural Network (FNN) is tested for detecting the DDOS attacks using a modified version of the KDD Cup 99 dataset. The aim of this paper is to determine the performance of the most effective and efficient Back-propagation algorithms among several algorithms and check the potential capability of ANN- based network model as a classifier to counteract the cyber-attacks in IoT environments. We have found that except Gradient Descent with Momentum Algorithm, the success rate obtained by the other three optimized and effective Back- Propagation algorithms is above 99.00%. The experimental findings showed that the accuracy rate of the proposed method using ANN is satisfactory.
New Development of Wyndham Park, Australia Using 3-D Visualisation
Abdul Ghani, Mimi Zaleha,Sarkom, Yazid,Kasmuri, Kartini 한국생태환경건축학회 2018 한국생태환경건축학회 학술발표대회 논문집 Vol.18 No.2
The study demonstrated the actual process of developing a 3-D model for planning applications in the context of a local planning authority in Australia by exploring the use of interactive 3-D model to assist the Wyndham City Council in preparing for the revised local structure plan by transforming existing conventional planning materials into easily understood form. It highlights how 3-D visualisation has provided a better understanding of a development project in comparison to the existing 2-D information and its potential in testing of future scenarios and proposals for the council`s future sustainable development including urban activity centres.
Underwater image quality enhancement through Rayleigh-stretching and averaging image planes
Ghani, Ahmad Shahrizan Abdul,Isa, Nor Ashidi Mat The Society of Naval Architects of Korea 2014 International Journal of Naval Architecture and Oc Vol.6 No.4
Visibility in underwater images is usually poor because of the attenuation of light in the water that causes low contrast and color variation. In this paper, a new approach for underwater image quality improvement is presented. The proposed method aims to improve underwater image contrast, increase image details, and reduce noise by applying a new method of using contrast stretching to produce two different images with different contrasts. The proposed method integrates the modification of the image histogram in two main color models, RGB and HSV. The histograms of the color channel in the RGB color model are modified and remapped to follow the Rayleigh distribution within certain ranges. The image is then converted to the HSV color model, and the S and V components are modified within a certain limit. Qualitative and quantitative analyses indicate that the proposed method outperforms other state-of-the-art methods in terms of contrast, details, and noise reduction. The image color also shows much improvement.
Sustainable Machining of Hardened Inconel 718: A Comparative Study
Nurul Hayati Abdul Halim,Che Hassan Che Haron,Jaharah Abdul Ghani 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.21 No.7
Recent trends in metal cutting shows the increasing of demand at the global stage for the application of eco-friendly machining approaches in order to eliminate the adverse effects of conventional cutting fluids. Thus, this experimental work was conducted to evaluate the performance of sustainable cooling techniques of cryogenic carbon dioxide (CO2), Minimum Quantity Lubrication (MQL), cryogenic liquid nitrogen (LN2) and dry cutting on machinability of Inconel 718. For the cryogenic CO2 approach, a new concept of cryogenic cooling technique was introduced for efficient and consistent cooling performance. The findings displayed cryogenic CO2 as a promising coolant since it resulted in slower tool wear rate compared to cryogenic LN2 and dry cutting, while being more effective in decreasing cutting forces and surface roughness compared to other approaches. Its adequate and consistent cooling efficiently disperses the generated heat and creates an ideal cutting condition for the tool and workpiece to interact with each another during cutting. In contrast to MQL cutting, the usefulness of CO 2 was supplanted due to the resulting shorter tool life. As such, the MQL approach is preferred as it extends the tool life longer by 67.2% with the maximum volume of material removal as compared to cryogenic CO2. Its lubrication impact shows effectiveness in diminishing the tool wear rate than the cooling effect by the cryogenic CO2. However, from the viewpoint of sustainability, MQL could be less preferable due to unpleasant odour and settling of MQL mist around the cutting area.
Underwater image quality enhancement through Rayleigh-stretching and averaging image planes
Ahmad Shahrizan Abdul Ghani,Nor Ashidi Mat Isa 대한조선학회 2014 International Journal of Naval Architecture and Oc Vol.6 No.4
Visibility in underwater images is usually poor because of the attenuation of light in the water thatcauses low contrast and color variation. In this paper, a new approach for underwater image quality improvement ispresented. The proposed method aims to improve underwater image contrast, increase image details, and reduce noiseby applying a new method of using contrast stretching to produce two different images with different contrasts. Theproposed method integrates the modification of the image histogram in two main color models, RGB and HSV. The histogramsof the color channel in the RGB color model are modified and remapped to follow the Rayleigh distributionwithin certain ranges. The image is then converted to the HSV color model, and the S and V components are modifiedwithin a certain limit. Qualitative and quantitative analyses indicate that the proposed method outperforms other stateof-the-art methods in terms of contrast, details, and noise reduction. The image color also shows much improvement.
Mohamad Rezi Abdul Hamid,Thomas Choong Shean Yaw,Mohd Zahirasri Mohd Tohir,Wan Azlina Wan Abdul Karim Ghani,Putu Doddy Sutrisna,Hae-Kwon Jeong 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.98 No.-
Advanced porous materials with uniform molecular scale apertures are highly desirable for energyrelated separations. Among them, zeolitic imidazolate frameworks (ZIFs) have received significantinterest as separation membranes owing to their narrow apertures that can target small gases. ZIFsexhibit excellent gas transport properties, such as unprecedentedly high C3H6 permeability andremarkable C3H6/C3H8 selectivity, inaccessible by other porous inorganic materials and polymers. Deposition of ultrathin ZIFs on porous substrates to form gas-selective barriers has been a major focus inthis area. There has been a significant development in the synthesis of ultrathin ZIF membranes for gasseparations. In this review, we present a summary of current state-of-the-art in ZIF membrane processingand highlight unique microstructural features of the prepared membranes. Following this, we discusslevel of separation performances of these advanced membranes focusing on three emerging/unsolvedapplications. Finally, we provide our perspectives on future research directions in the area.