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Effect of Organic and Chemical Fertilization on the Growth and Yield of Roselle Plants Hibiscus sabdariffa L.

Journal of Agricultural Science and Technology(B) 2014年第10期4卷 779-786页

作者： Zainab Sabah Lazim Sada Nacief Jasim Zhala Muhammad Ahmad qaium abdul karim Zahir MohamedAziz Department of Horticulture Faculty of Agricultural Sciences University of Sulaimani Bakrajo 46011 Sulaymaniyah Kurdistan RegionIraq Department of Horticulture Collage of Agriculture University of Baghdad Baghdad 10001 Iraq Agricultural Research Services Ministry of Agriculture Bakrajo 46011 Sulaymaniyah Kurdistan Region Iraq

This study was carried out during the growing season 2012-2013 at the fields of Agricultural Research Services in Sulaymaniyah Govemorate, to study the effect of chicken manure, sheep manure and chemical fertilizer NPK on growth, sepals, seeds yield and some chemical constituents of Roselle plants grown under Sulaymaniyah conditions. The experiment included several treatments as follows： sheep manure, 75% sheep ＋ 25% chicken, 50% sheep ＋ 50% chicken, 25% sheep ＋ 75% chicken, entire chicken manure, chemical fertilizer NPK and unfertilized control. The obtained results showed that all treatments of organic fertilization and NPK were significantly enhanced the vegetative growth parameters, sepals and concentration of anthocyanin of Roselle plants sepals. The treatment of （25% sheep ＋ 75% chicken） gave the best results： plant height （205.33 cm）, stem diameter （33.45 ram）, number of branches/plant （22.33）, total leaf area （3.29 m2）, root dry weight （56.81 g）, number of fruits/plant （110）, fresh weight of fruits （818.44 g） and dry weight of sepals （52.65 g）. But the highest concentration of anthocyanin was in the treatment of （75% sheep ＋ 25% chicken）（260.33 mg/100 g） and the lowest concentration of oxalic acid was found in the treatment of （50% sheep ＋ 50% chicken）（4.69 mg/100 g）. The results of this study showed that the use of （25% sheep ＋ 75% chicken） could enhance the vegetative growth and produce maximum yield of RoseUe calyx.

关键词： Hibiscus sabdariffa L. chicken manure sheep manure organic fertilizers NPK fertilizer growth calyx yield.

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Determination of hemoglobin adduct of a musk xylene metabolite in trout as biomarker of exposure by gas chromatography mass spectrometry

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Journal of Environmental Sciences 2005年第6期17卷 989-992页

作者： Mohammad abdul karim Mohammad Rezaul Department of Chemistry and Biochemistry Baylor University P.O. Box 97348 Waco TX 76798-7348 USADepartment of Biochemistry and Molecular Biology University of Rajshahi Rajshahi 6205 Bangladesh

Musk xylene（MX） is frequently used as fragrances in formulation of personal care products. Quantification of a bound 4-amino- MX（4-AMX） as cysteine adducts in trout hemoglobin（Hb） was made by gas chromatography-ion trap-mass spectrometry（GC/MS）. The Hb samples were collected from trout after 24 h exposure to MX at 10μg/g, and or menhaden oil（control）. The formation of cysteine-Hb adduct was observed from nitroso derivative of MX, released by alkaline hydrolysis. The released 4-AMX metabolite was extracted in n- hexane. The extract was then reduced by evaporation, and analyzed by GC/MS. When similar agreement of mass spectral features and retention time of 4-AMX were obtained in both standard and sample solutions, the presence of 4-AMX metabolite in the Hb was confirmed. The concentration of 4-AMX was found to be 3.1 × 10^-6 6.9 × 10^-6 mg/g in the Hb solution. Quantitation was made based on an internal standard, a calibration plot, and response factor. In the non-hydrolyzed and laboratory blank extracts, the 4-AMX metabolite was not detected. Additionally, coeluting and interfefing ions were observed in the biological samples.

关键词： biomarkers musk xylene metabolite Hb adducts fish exposure

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Countermeasure of river bend scour using a combination of submerged vanes and riprap

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International Journal of Sediment Research 2018年第4期33卷 478-492页

作者： Piya Biswas abdul karim Barbhuiya Department of Civil Engineering National Institute of Technology

A series of laboratory flume experiments were done in a large-scale 180° bend with non-cohesive sediment to find optimal or effective protection works at a bend. Detailed study of the scour and flow field dynamics with and without protection works was done. Spatially dense, high frequency velocity data were collected and analyzed to describe the pattern and magnitude of three-dimensional(3 D)velocity throughout the bend. Characterizing the role of flow field dynamics on the pattern of deposition and erosion through experimental measurements provided valuable data about how such flow features contribute to scour and about the performance of the protection works. From the experimental results, it is revealed that for a perennial river it is not possible to protect from scour either with riprap or with submerged vanes alone. Protection from scour at a bend can be achieved with proper combination of these two works. First, submerged vanes can protect the toe, and, second, riprap can protect the upper part of the slope if it is not damaged through toe erosion. The experiments convincingly demonstrate the efficiency of this bank protection technique.

关键词： River bend erosion Three-dimensional flow Vanes Riprap Open channel Sedimentation

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Dynamical Comparison of Several Third-Order Iterative Methods for Nonlinear Equations

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Computers, Materials & Continua 2021年第5期67卷 1951-1962页

作者： Obadah Said Solaiman Samsul Ariffin abdul karim Ishak Hashim Department of Mathematical Sciences Faculty of Science&TechnologyUniversiti Kebangsaan MalaysiaBangi Selangor43600Malaysia Department of Fundamental and Applied Sciences Center for Smart Grid Energy Research(CSMER)Institute of Autonomous SystemUniversiti Teknologi PETRONASBandar Seri IskandarSeri IskandarPerak DR32610Malaysia

There are several ways that can be used to classify or compare iterative methods for nonlinear equations,for instance;order of convergence,informational efficiency,and efficiency *** this work,we use another way,namely the basins of attraction of the *** purpose of this study is to compare several iterative schemes for nonlinear *** the selected schemes are of the third-order of convergence and most of them have the same efficiency *** comparison depends on the basins of attraction of the iterative techniques when applied on several polynomials of different *** a comparison,we determine the CPU time(in seconds)needed by each scheme to obtain the basins of attraction,besides,we illustrate the area of convergence of these schemes by finding the number of convergent and divergent points in a selected range for all *** confirm the fact that basins of attraction differ for iterative methods of different orders,furthermore,they vary for iterative methods of the same order even if they have the same efficiency ***,this leads to the need for a new index that reflects the real efficiency of the iterative scheme instead of the commonly used efficiency index.

关键词： Nonlinear equations iterative methods basins of attraction order of convergence

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Modification of Oil Palm Empty Fruit Bunch and Sugarcane Bagasse Biomass as Potential Reinforcement for Composites Panel and Thermal Insulation Materials

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Journal of Bionic Engineering 2019年第1期16卷 175-188页

作者： Nor Azlina Ramlee Mohammad Jawaid Edi Syams Zainudin Shaikh abdul karim Yamani Department of Biocomposite Laboratory Institute of Tropical Forestry and Forest Products (INTROP)Universiti Putra Malaysia 43400 SerdangSelangorMalaysia Department of Mechanical and Manufacturing Engineering Faculty of EngineeringUniversiti Putra Malaysia 43400 SerdangSelangorMalaysia Faculty of Applied Science Wood Industry Universiti Teknologi MARA Campus of Jengka 26400 Bandar Tun Abdul Razak JengkaPahangMalaysia

This paper focuses on the study of the effect of modification of Oil Palm Empty Fruit Bunch(OPEFB)and sugarcane bagasse(SCB)biomass as potential reinforcement for composites panel and thermal *** fibres were treated with three types of chemicals:2%silane,4%H2O2 and 4%H2O2-2%silane for 3 *** influence of modified fibres content in composites was examined by structural changes using image analyser,Fourier transform infrared(FTIR),Scanning Electron Microscopy(SEM),tensile,interracial shear strength(IFSS)and thermal *** diameter of both fibres was reduced after treatment and showed decreasing of lignin and hemi-cellulose in *** strength has been increased by 2%silane treatment for both fibres and 4%H2O2 treatment displays higher result for *** properties of treated SCB fibre with silane display higher residual content and better thermal *** charac-terization showed that 2%silane treatment removed silica bodies of OPEFB fibre while 4%H2O2 treatment uniformly filled porosity of SCB ***,results revealed that treated OPEFB fibre is enough to improve compatibility and mechanical properties,while treated SCB fibre was effective in thermal stability for fabrication of composite materials.

关键词： oil palm empty fruit bunch sugarcane bagasse fibre treatment tensile properties thermal properties interracial shear strength

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LDSVM: Leukemia Cancer Classification Using Machine Learning

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Computers, Materials & Continua 2022年第5期71卷 3887-3903页

作者： abdul karim Azhari Azhari Mobeen Shahroz Samir Brahim Belhaouri Khabib Mustofa Department of Computer Science&Electronics Universitas Gadjah MadaYogyakarta55281Indonesia Department of Artificial Intelligence The Islamia University of BahawalpurBahawalpur63100Pakistan Division of Information&Computer Technology College of Science&EngineeringHamad Bin Khalifa UniversityDoha5825Qatar

Leukemia is blood cancer, including bone marrow and lymphatictissues, typically involving white blood cells. Leukemia produces an abnormalamount of white blood cells compared to normal blood. Deoxyribonucleicacid (DNA) microarrays provide reliable medical diagnostic services to helpmore patients find the proposed treatment for infections. DNA microarraysare also known as biochips that consist of microscopic DNA spots attachedto a solid glass surface. Currently, it is difficult to classify cancers usingmicroarray data. Nearly many data mining techniques have failed becauseof the small sample size, which has become more critical for ***, they are not highly effective in improving results and are frequently employed by doctors for cancer diagnosis. This study proposes a novelmethod using machine learning algorithms based on microarrays of leukemiaGSE9476 cells. The main aim was to predict the initial leukemia *** learning algorithms such as decision tree (DT), naive bayes (NB),random forest (RF), gradient boosting machine (GBM), linear regression(LinR), support vector machine (SVM), and novel approach based on thecombination of Logistic Regression (LR), DT and SVM named as ensembleLDSVM model. The k-fold cross-validation and grid search optimizationmethods were used with the LDSVM model to classify leukemia in patientsand comparatively analyze their impacts. The proposed approach evaluatedbetter accuracy, precision, recall, and f1 scores than the other ***, the results were relatively assessed, which showed LDSVMperformance. This study aims to successfully predict leukemia in patientsand enhance prediction accuracy in minimum time. Moreover, a Syntheticminority oversampling technique (SMOTE) and Principal compenent analysis(PCA) approaches were implemented. This makes the records generalized andevaluates the outcomes well. PCA reduces the feature count without losing anyinformation and deals with class imbalanced dataset

关键词： Leukemia GSE9476 cancer genes classification machine learning ensemble LDSVM classifier

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3D-Printed Aqueous Zn Battery

3D-Printed Aqueous Zn Battery

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作者： Zana karim abdul 湖南大学

学位级别：硕士

随着打印技术和材料的不断发展,具有长耐久性,良好安全性,高能量密度和功率密度的3D打印电池最终将广泛应用于许多领域。此外,高能量密度锂离子电池(LIBs)目前已经占领了商用可再充电电池市场。但是,锂资源有限,成本高以及有机电解质不... 详细信息

随着打印技术和材料的不断发展,具有长耐久性,良好安全性,高能量密度和功率密度的3D打印电池最终将广泛应用于许多领域。此外,高能量密度锂离子电池(LIBs)目前已经占领了商用可再充电电池市场。但是,锂资源有限,成本高以及有机电解质不安全的特性,限制了它的进一步发展。在这种情况下,水系可充电锌离子电池(ZIBs)凭借其生态友好,成本低廉和安全性高的优势,被视为下一代储能系统的理想选择。然而,由于枝晶的生长和锌负极不良的副反应会影响电池的循环稳定性,阻止了其在商业应用上的发展。这项研究探讨了开发3D打印锌负极电池的主要挑战和潜在的研究前沿。尖锐的锌枝晶通常会刺穿隔膜,导致电池短路,这会使电子设备失效。为抑制锌枝晶的生长,多种不同的技术手段已被开发出来,包括负极表面改性,电极结构改进,电解质的优化以及多功能隔膜的设计。为了优化电解质,“盐包水”和在电解质中添加有效成分以此实现电池性能的改善。对于表面改性,已经发展出了一些成功技术,例如分层沉积和溶液浸渍。对于电极结构改进,开发3D高表面积锌负极被认为是限制枝晶生长的有效方法。本文旨在分析可再充电的水性锌离子电池(ZIBs),包括锌离子电池负极的设计制造,正极材料的选取以及分析电池的能量存储机理。在ZIBs中,正极反应随正极材料类型的不同而不同,本文中所采用的正极材料为钒基氧化物;关于锌负极的设计,则是利用立体光刻(SLA)的3D打印方法来实现电极结构的优化。从电池的测试数据来看,CE的使用率超过90%,如此高的比例说明电池具有不错的性能。此外,在1m A cm的电流密度下的3D Cu-Zn对称电池,显示出较低的过电位和稳定的循环能力,明显优于平面锌。另一方面,PVO//3D Cu-Zn的初始容量为112 m Ah g,初始库伦效率为99%。随着循环次数的增加,电池容量显然呈现出下降的模式,但是库伦效率依旧保持较高的水平。三维锌负极抑制枝晶生长将为开发和制造更好的水性锌离子电池开辟新的方向以及未来的发展方向.

关键词： 3d打印光固化锌离子电池锌枝晶

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Real-Time Safety Helmet Detection Using Yolov5 at Construction Sites

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Intelligent Automation & Soft Computing 2023年第4期36卷 911-927页

作者： Kisaezehra Muhammad Umer Farooq Muhammad Aslam Bhutto abdul karim Kazi Department of Computer Science and Information Technology NED University of Engineering&TechnologyKarachi75270Pakistan Department of Civil Engineering NED University of Engineering&TechnologyKarachi75270Pakistan

The construction industry has always remained the economic and social backbone of any country in the world where occupational health and safety(OHS)is of prime *** in other developing countries,this industry pays very little,rather negligible attention to OHS practices in Pakistan,resulting in the occurrence of a wide variety of accidents,mishaps,and near-misses every *** of the major causes of such mishaps is the non-wearing of safety helmets(hard hats)at construction sites where falling objects from a height are *** most cases,this leads to serious brain injuries in people present at the site in general and the workers in *** is one of the leading causes of human fatalities at construction *** the United States,the Occupational Safety and Health Administration(OSHA)requires construction companies through safety laws to ensure the use of well-deﬁned personal protective equipment(PPE).It has long been a problem to ensure the use of PPE because round-the-clock human monitoring is not ***,such monitoring through technological aids or automated tools is very much *** present study describes a systema-tic strategy based on deep learning(DL)models built on the You-Only-Look-Once(YOLOV5)architecture that could be used for monitoring workers’hard hats in *** can indicate whether a worker is wearing a hat or *** proposed system usesﬁve different models of the YOLOV5,namely YOLOV5n,YOLOv5s,YOLOv5 m,YOLOv5l,and YOLOv5x for object detection with the support of PyTorch,involving 7063 *** results of the study show that among the DL models,the YOLOV5x has a high performance of 95.8%in terms of the mAP,while the YOLOV5n has the fastest detection speed of 70.4 frames per second(FPS).The proposed model can be successfully used in practice to recognize the hard hat worn by a worker.

关键词： Object detection computer-vision personal protective equipment(PPE) deep learning industry revolution(IR)4.0 safety helmet detection

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A review on promising phytochemical, nutritional and glycemic control studies on Moringa oleifera Lam. in tropical and sub-tropical regions

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Asian Pacific Journal of Tropical Biomedicine 2016年第10期6卷 896-902页

作者： Hafiz Irfan Muhammad Mohd Zaini Asmawi Nurzalina abdul karim Khan Discipline of Pharmacology School of Pharmaceutical Sciences Universiti Sains Malaysia Department of Pharmacology Faculty of Pharmacy University of Sargodha Discipline of Pharmaceutical Technology School of Pharmaceutical Sciences Universiti Sains Malaysia

Plants have provided sources to find novel compounds. These plants are being used as therapeutic purposes since the birth of mankind. The traditional healers normally utilize medicinal plants as crude drugs while scientists using the folk claim as guides to explore medicinal plants. Moringa oleifera is a famous edible plant having therapeutic and nutritive values. The present study was designed to cumulate the research data regarding to what extent, phytochemical, nutritional and glycemic control studies has been explored using its different extracts. The articles indicated that the powder, aqueous, methanol and ethanol extracts of Moringa oleifera(leaves, pods, seeds, stem and root bark) have significant therapeutic herbal potential to treat diabetes mellitus. Collectively, the mechanism behind is intestinal glucose inhibition, insulin release as well as decrease in insulin resistance probably regeneration of b-cells of pancreas, increase in glutathione and reduction in malondialdehyde. Conclusively, this article give descriptive information about antidiabetic effect, claimed marker compounds and proposed antihyperglycemic mechanism of a single plant. It can be suggested a potential herbal source to treat diabetes mellitus as being widely accepted by major population as nutrition and therapeutic agent.

关键词： Antihyperglycemic Aqueous Ethanol Moringa oleifera Antidiabetic

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Fake News Encoder Classifier (FNEC) for Online Published News Related to COVID-19 Vaccines

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Intelligent Automation & Soft Computing 2023年第7期37卷 73-90页

作者： Asma Qaiser Saman Hina abdul karim Kazi Saad Ahmed Raheela Asif Department of Computer Science and Information Technology NED University of Engineering and TechnologyKarachi75270Pakistan Department of Computer Science Iqra UniversityKarachi76400Pakistan Department of Software Engineering NED University of Engineering and TechnologyKarachi75270Pakistan

In the past few years,social media and online news platforms have played an essential role in distributing news content *** of the authenticity of news has become a major *** the COVID-19 outbreak,misinformation and fake news were major sources of confusion and insecurity among the general *** the first quarter of the year 2020,around 800 people died due to fake news relevant to *** major goal of this research was to discover the best learning model for achieving high accuracy and performance.A novel case study of the Fake News Classification using ELECTRA model,which achieved 85.11%accuracy score,is thus reported in this *** addition to that,a new novel dataset called COVAX-Reality containing COVID-19 vaccine-related news has been *** the COVAX-Reality dataset,the performance of FNEC is compared to several traditional learning models i.e.,Support Vector Machine(SVM),Naive Bayes(NB),Passive Aggressive Classifier(PAC),Long Short-Term Memory(LSTM),Bi-directional LSTM(Bi-LSTM)and Bi-directional Encoder Representations from Transformers(BERT).For the evaluation of FNEC,standard metrics(Precision,Recall,Accuracy,and F1-Score)were utilized.

关键词： Deep learning fake news detection machine learning transformer model classification

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