Anti-HIV Activity of Dehydroaltenusin-a Metabolite from a Streptomyces sp.

Abdul Jabbar,Ajude Prashad Shresta,Choudhury Mahmood Hasan,Mohammad Abdur Rashid 한국생약학회 1999 Natural Product Sciences Vol.5 No.4

Dehydroaltenusin (1) was isolated from the chloroform extract of the culture filtrate of a Streptomyces sp. and its structure was determined from spectral data as well as by comparison with published values. In an XTT-based in vitro anti-HIV assay, dehydroaltenusin effectively inhibited the cytopathic effects of HIV infection at a concentration of 1-5 ㎍/mL.

FD-StackGAN: Face De-occlusion Using Stacked Generative Adversarial Networks

( Abdul Jabbar ),( Xi Li ),( M. Munawwar Iqbal ),( Arif Jamal Malik ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.7

It has been widely acknowledged that occlusion impairments adversely distress many face recognition algorithms' performance. Therefore, it is crucial to solving the problem of face image occlusion in face recognition. To solve the image occlusion problem in face recognition, this paper aims to automatically de-occlude the human face majority or discriminative regions to improve face recognition performance. To achieve this, we decompose the generative process into two key stages and employ a separate generative adversarial network (GAN)-based network in both stages. The first stage generates an initial coarse face image without an occlusion mask. The second stage refines the result from the first stage by forcing it closer to real face images or ground truth. To increase the performance and minimize the artifacts in the generated result, a new refine loss (e.g., reconstruction loss, perceptual loss, and adversarial loss) is used to determine all differences between the generated de-occluded face image and ground truth. Furthermore, we build occluded face images and corresponding occlusion-free face images dataset. We trained our model on this new dataset and later tested it on real-world face images. The experiment results (qualitative and quantitative) and the comparative study confirm the robustness and effectiveness of the proposed work in removing challenging occlusion masks with various structures, sizes, shapes, types, and positions.

Driving Safety after Spinal Surgery: A Systematic Review

Abduljabbar Alhammoud,Kenan Alkhalili,Jack Hannallah,Bashar Ibeche,Sohail Bajammal,Abdul Moeen Baco 대한척추외과학회 2017 Asian Spine Journal Vol.11 No.2

This study aimed to assess driving reaction times (DRTs) after spinal surgery to establish a timeframe for safe resumption of driving by the patient postoperatively. The MEDLINE and Google Scholar databases were analyzed according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) Statement for clinical studies that investigated changes in DRTs following cervical and lumbar spinal surgery. Changes in DRTs and patients’ clinical presentation, pathology, anatomical level affected, number of spinal levels involved, type of intervention, pain level, and driving skills were assessed. The literature search identified 12 studies that investigated postoperative DRTs. Six studies met the inclusion criteria; five studies assessed changes in DRT after lumbar spine surgery and two studies after cervical spina surgery. The spinal procedures were selective nerve root block, anterior cervical discectomy and fusion, and lumbar fusion and/ordecompression. DRTs exhibited variable responses to spinal surgery and depended on the patients’ clinical presentation, spinal level involved, and type of procedure performed. The evidence regarding the patients’ ability to resume safe driving after spinal surgery is scarce. Normalization of DRT or a return of DRT to pre-spinal intervention level is a widely accepted indicator for safe driving, with variable levels of statistical significance owing to multiple confounding factors. Considerations of the type of spinal intervention, pain level, opioid consumption, and cognitive function should be factored in the assessment of a patient’s ability to safely resume driving.

Measuring Cadmium in Soils and Leachate Water Using Double Mixed Layer DGT in a Sandy Soil

Rawaa Abduljabbar,Peter Teasdale,Hossein Ghadiri,Jared Panther 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6

Destructive and nondestructive remaining fatigue life prediction methods of metals: a review

Madyan Abduljabbar Marir,Ewe Lay Sheng,Mohd Rashdan Isa,Imad Obaid Bachi 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.8

Metals' remaining fatigue life (RFL) forecast is considered to be an overly complicated process among engineers in practical applications, especially since a fast and acceptable level of safety operation and trust assessment are needed to avoid fatigue risks in worksites. The internal damage that the material suffers under fatigue stress results in invisible changes in the microstructure, which may lead to its failure below the intended design life of the material. Therefore, predictive calculations of RFL are very important for personnel safety and design quality. Here, the RFL prediction models and material-dependent characteristic components are reviewed via two approaches: the destructive (DT) and nondestructive (NDT) methods. Typical measurements and data associated with their relationships, such as stress, strain and effective contact at different stages of fatigue failure were explored. Moreover, the effectiveness of the DT and NDT evaluation methods was compared to obtain the information and description of the material fatigue response. Subsequently, the best models were selected.

EEIRI: Efficient Encrypted Image Retrieval in IoT-Cloud

( Zaid Ameen Abduljabbar ),( Ayad Ibrahim ),( Mohammed Abdulridha Hussain ),( Zaid Alaa Hussien ),( Mustafa A. Al Sibahee ),( Songfeng Lu ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.11

One of the best means to safeguard the confidentiality, security, and privacy of an image within the IoT-Cloud is through encryption. However, looking through encrypted data is a difficult process. Several techniques for searching encrypted data have been devised, but certain security solutions may not be used in IoT-Cloud because such solutions are not lightweight. We propose a lightweight scheme that can perform a content-based search of encrypted images, namely EEIRI. In this scheme, the images are represented using local features. We develop and validate a secure scheme for measuring the Euclidean distance between two descriptor sets. To improve the search efficiency, we employ the k-means clustering technique to construct a searchable tree-based index. Our index construction process ensures the privacy of the stored data and search requests. When compared with more familiar techniques of searching images over plaintexts, EEIRI is considered to be more efficient, demonstrating a higher search cost of 7% and a decrease in search accuracy of 1.7%. Numerous empirical investigations are carried out in relation to real image collections so as to evidence our work.

Re-refining of used lubricant oil by solvent extraction using central composite design method

Ghassan Rokan Daham,Adnan AbdulJabbar AbdulRazak,Adel Sharif Hamadi,Ayad Ahmed Mohammed 한국화학공학회 2017 Korean Journal of Chemical Engineering Vol.34 No.9

The primary aim of this study was to recover base oil from used oil using solvent extraction followed by the adsorption method. Many effective variables were examined within the solvent extraction method, including using different solvents, solvent/used oil, temperature and speed of blending. Central composite design (CCD) was applied as the statistical method. Response surface methodology was then used to find the optimum conditions in the process of extraction: ratio of solvent/used oil 2.4 and 3.12 vol/vol, temperature=54 and 18 oC, and speed of mixing=569 and 739 rpm for 1-butanol and methyl ethyl ketone (MEK), respectively. Various flocculation agents were used with the solvent, such as Sodium hydroxide (NaOH), Potassium hydroxide (KOH) and Monoethylamine (MEA); they provided an increase in the separation efficiency. The best result was obtained when using 2 grams of MEA/kg solvent; this amount of MEA increases sludge removal from 12.6% to 14.7%. In the process of clay adsorption, the variables that were tested included the ratio of clay/extract oil, temperature and time of contact. The best conditions in the process of adsorption by activated bentonite were a ratio of clay/extract oil=15 wt/vol%, temperature=120 oC, and time of contact=150 minutes. The recovered base oil was analyzed by Fourier transform infrared spectroscopy (FTIR) and compared to Iraqi specifications of base oils. The recovered base oil specifications were analyzed, including, viscosity @100 oC 8.32, 9.22 cSt, pour point −17.35, −22.23 oC, flash point 210.12, 223.04 oC, total acid number (TAN) 0.25, nill, total base number (TBN) nill, nill, ash 0.031, 0.0019wt% and color 3.0, 2.5 for two types of base oil recovered using MEK, 1- butanol with activated bentonite, respectively.

Strategic Intelligence and Sustainable Competitive Advantage of Small and Medium Enterprises

Shehenaz Fadhil AHMED,Buraq Talib ABDULJABBAR,Adel Abbas ABED HUSSEIN 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.6

Strategic Intelligence (SI) is a business tool within strategic management and is gaining importance as a process that enables companies to achieve sustainable competitive advantage. This study explores the current SI state in small and medium enterprises in Iraq, electrical and electronic industries. For this purpose, a questionnaire model was developed to test the relationship between strategic intelligence dimensions and sustainable competitive advantage in its various dimensions. The study sample includes 60 respondents from managers, department heads, and managers of production units in small and medium-sized companies operating in Iraq during 2020. The results of multiple regression analysis show the presence of a (statistically significant) impact of the strategic intelligence dimensions (information systems, knowledge management, competitive intelligence, business intelligence). On the dimensions of the core capabilities, the efficiency of the organization, the strategic flexibility, and the creative culture. However, there is no statistically significant effect of the strategic intelligence dimensions (information systems, knowledge management, competitive intelligence, business intelligence) on the information technology dimension. This study provides theoretical and practical implications to help managers develop sustainable competitive advantages through the capabilities provided by SI in small and medium industrial enterprises in Iraq.

Removal of 4-nitro-phenol from wastewater using synthetic zeolite and kaolin clay

Nada Sadoon Ahmedzeki,Haider Abdulkarem Rashid,Asir Abduljabbar Alnaama,Maha Hadi Alhasani,Zainab Abdulhussain 한국화학공학회 2013 Korean Journal of Chemical Engineering Vol.30 No.12

Adsorption techniques are widely used to remove certain classes of pollutants from wastewater. Phenolic compounds represent one of the problematic groups. Na-Y zeolite has been synthesized from locally available Iraqi kaolin clay. Characterization of the prepared zeolite was made by XRD and surface area measurement using N2 adsorption. Both synthetic Na-Y zeolite and kaolin clay have been tested for adsorption of 4-Nitro-phenol in batch mode experiments. Maximum removal efficiencies of 90% and 80% were obtained using the prepared zeolite and kaolin clay, respectively. Kinetics and equilibrium adsorption isotherms were investigated. Investigations showed that both Langmuir and Freundlich isotherms fit the experimental data quite well. On the other hand, the adsorption of phenol was found to obey first-order kinetics.

Soil Enzyme Activities in Waste Biochar Amended Multi-Metal Contaminated Soil; Effect of Different Pyrolysis Temperatures and Application Rates

Vithanage, Meththika,Bandara, Tharanga,Al-Wabel, Mohammad I.,Abduljabbar, Adel,Usman, Adel R. A.,Ahmad, Mahtab,Ok, Yong Sik Informa UK (TaylorFrancis) 2018 Communications in soil science and plant analysis Vol.49 No.5

<P>Woody biochars derived by pyrolyzing Gliricidia sepium at 300 degrees C and 500 degrees C and a waste byproduct of same biomass from a bioenergy industry (BC700) were tested for their effect on soil enzymes activities and available form of heavy metals in multi-metals contaminated soil. Pot experiments were conducted during 6 weeks with tomato (Lycopersicon esculentum L.) at biochar application rates, 1, 2.5, and 5% (w/w). A reduction in polyphenol oxidase with biochars produced at increasing pyrolysis temperature compared to the control whereas the maximum activity of dehydrogenase and catalase was observed in 1% BC500 and 2.5% BC300, respectively. Soil available form of Ni, Mn, and Cr were reduced by 55, 70% and 80% in 5% BC700 amended soil, respectively. The highest geometric mean of enzyme activities was observed in 2.5% BC300 treatment. Overall the application of high dosages of high temperature derived biochar masks/deteriorates soil enzyme activities but immobilizes bioavailable heavy metals and reduces toxicity.</P>