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A statistical approach to enhance the productivity of Streptomyces baarensis mH-133 for bioactive compounds

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Synthetic and Systems Biotechnology 2024年第2期9卷 196-208页

作者： mohamed H.Kalaba Gamal m.El-Sherbiny Osama m.Darwesh saad A.moghannem Botany and microbiology Department Faculty of Science(Boys)Al-Azhar UniversityCairo 11884Egypt Agricultural microbiology Department National Research CentreDokkiCairoEgypt

The goal of this study was to use statistical optimization to change the nutritional and environmental conditions so that Streptomyces baarensis mH-133 could make more active *** trials were used to screen for critical variables influencing productivity using the Placket-Burman Design *** mH-133 is significantly influenced by elicitation,yeast extract,inoculum size,and incubation period in terms of antibacterial activity.A total of 27 experimental trials with various combinations of these factors were used to carry out the response surface technique using the Box-Behnken *** analyses revealed that the model was highly significant(pmination(R2)of ***,the model predicted that the response as inhibition zone diameter would reach a value of 27 *** optimal conditions,*** mH-133 produced 18.0 g of crude extract to each 35L and was purified with column *** active fraction exhibiting antibacterial activity was characterized using spectroscopic *** mIC and mBC values varied between 37.5 and 300μg/ml and 75 and 300μg/ml,*** conclusion,the biostatistical optimization of the active fraction critical variables,including environmental and nutritional conditions,enhances the production of bioactive molecules by Streptomyces species.

关键词： S.baarensis mH-133 Placket-Burman designBox-Behnken design ESKAPE Antibacterial activity

Profitability analysis of a femtosecond laser system for cataract surgery using a fuzzy logic approach

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International Journal of Ophthalmology(English edition) 2016年第7期9卷 1046-1050页

作者： Jose Antonio Trigueros David P Pinero mahmoud m.ismail Department of Financial Economic and Accounting Miguel Hernandez University Elche 03202 Alicante Spain Department of Optics Pharmacology and AnatomyUniversity of Alicante Crta San Vicente del RaspeigAlicante 03690 Spain Al-Azhar University Cairo 11651 Egypt

AIm：To define the financial and management conditions required to introduce a femtosecond laser system for cataract surgery in a clinic using a fuzzy logic ***：In the simulation performed in the current study,the costs associated to the acquisition and use of a commercially available femtosecond laser platform for cataract surgery（VICTUS,TECHNOLAS Perfect Vision GmbH,Bausch ＆ Lomb,munich,Germany） during a period of 5y were considered.A sensitivity analysis was performed considering such costs and the countable amortization of the system during this 5y ***,a fuzzy logic analysis was used to obtain an estimation of the money income associated to each femtosecond laser-assisted cataract surgery（G）. RESULTS：According to the sensitivity analysis,the femtosecond laser system under evaluation can be profitable if 1400 cataract surgeries are performed per year and if each surgery can be invoiced more than $*** contrast,the fuzzy logic analysis confirmed that the patient had to pay more per surgery,between $661.8 and $667.4 per surgery,without considering the cost of the intraocular lens（IOL）.CONCLUSION：A profitability of femtosecond laser systems for cataract surgery can be obtained after a detailed financial analysis,especially in those centers with large volumes of *** cost of the surgery for patients should be adapted to the real flow of patients with the ability of paying a reasonable range of cost.

关键词： cataract surgery femtosecond laser fuzzy logic femto-cataract victus profitability analysis

Realistic Smile Expression Recognition Approach Using Ensemble Classifier with Enhanced Bagging

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Computers, materials & Continua 2022年第2期70卷 2453-2469页

作者： Oday A.Hassen Nur Azman Abu Zaheera Zainal Abidin saad m.Darwish University Technical malaysia melaka Department of Information TechnologyMelaka76100Malaysia Institute of Graduate Studies and Research University of AlexandriaAlexandriaEl Shatby21526Egypt

A robust smile recognition system could be widely used for many real-world *** of a facial smile in an unconstrained setting is difficult due to the invertible and wide variety in face *** this paper,an adaptive model for smile expression classification is suggested that integrates a fast features extraction algorithm and cascade *** model takes advantage of the intrinsic association between face detection,smile,and other face features to alleviate the over-fitting issue on the limited training set and increase classification *** features are extracted taking into account to exclude any unnecessary coefficients in the feature vector;thereby enhancing the discriminatory capacity of the extracted features and reducing the computational ***,the main causes of error in learning are due to noise,bias,and *** helps to minimize these *** of multiple classifiers decrease variance,especially in the case of unstable classifiers,and may produce a more reliable classification than a single ***,a shortcoming of bagging as the best ensemble classifier is its random selection,where the classification performance relies on the chance to pick an appropriate subset of training *** suggested model employs a modified form of bagging while creating training sets to deal with this challenge(error-based bootstrapping).The experimental results for smile classification on the JAFFE,CK+,and CK+48 benchmark datasets show the feasibility of our proposed model.

关键词： Ensemble classifier smile expression detection features extraction

material selection of polymeric composite automotive bumper beam using analytical hierarchy process

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Journal of Central South University 2010年第2期17卷 244-256页

作者： A.HAmBALI S.m.SAPUAN N.ismail Y.NUKmAN Department of mechanical and manufacturing Engineering Universiti Putra Malaysia Department of Engineering Design and manufacture University of Malaya

Selection of materials,as an area of design research,has been under considerable interest over the *** selection is one of the most important activities in the product development *** decision of materials can cause the product to be reproduced or *** avoid this circumstance,one of the useful tools that can be employed in determining the most appropriate material is analytical hierarchy process(AHP).To illustrate the application of AHP,six different types of composite materials were *** most appropriate one for suitability of use in manufacturing automotive bumper beam was determined by considering eight main selection factors and 12 *** AHP analysis reveals that the glass fibre epoxy is the most appropriate material because it has the highest value(25.7%,mass fraction) compared with other *** final material is obtained by performing six different scenarios of the sensitivity *** is proved that glass fibre epoxy is the most optimum decision.

关键词： composite polymer matrix bumper beam analytical hierarchy process

Effects of Additional HONO Sources on Visibility over the North China Plain

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Advances in Atmospheric Sciences 2014年第5期31卷 1221-1232页

作者： LI Ying AN Junling ismail GULTEPE State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric Physics Chinese Academy of Sciences Cloud Physics and Severe Weather Research Section Environment CanadaToronto Ontario M3H 5T4 Canada

The objective of the present study was to better understand the impacts of the additional sources of nitrous acid （HONO） on visibility, which is an aspect not considered in current air quality models. Simulations of HONO contributions to visibility over the North China Plain （NCP） during August 2007 using the fully coupled Weather Research and Forecasting/Chemistry （WRF/Chem） model were performed, including three additional HONO sources：（1） the reaction of photo-excited nitrogen dioxide （NO~） with water vapor; （2） the NO2 heterogeneous reaction on aerosol surfaces; and （3） HONO emissions. The model generally reproduced the spatial patterns and diurnal variations of visibility over the NCP well. When the additional HONO sources were included in the simulations, the visibility was occasionally decreased by 20%-30% （3-4 km） in local urban areas of the NCP. monthly-mean concentrations of NO3, NH＋, SO]- and Pm2.5 were increased by 20%-52% （3-11μg m-3）, 10%-38%, 6%-10%, and 6%-11% （9-17 μg m-3）, respectively; and in urban areas, monthly-mean accumulation- mode number concentrations （AmNC） and surface concentrations of aerosols were enhanced by 15%-20% and 10%-20%, respectively. Overall, the results suggest that increases in concentrations of Pm2.5, its hydrophilic components, and AmNC, are key factors for visibility degradation. A proposed conceptual model for the impacts of additional HONO sources on visibility also suggests that visibility estimation should consider the heterogeneous reaction on aerosol surfaces and the enhanced atmospheric oxidation capacity due to additional HONO sources, especially in areas with high mass concentrations of NOx and aerosols.

关键词： HONO visibility aerosols WRF/Chem North China Plain

High resolution sequence stratigraphy of the mishrif Formation(Cenomanian-Early Turonian)at zubair oilfield(al-rafdhiah dome),southern Iraq

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Petroleum Research 2024年第1期9卷 61-71页

作者： Aymen A.Lazim maher J.ismail maher m.mahdi Geoscience Department Zubair Field Operation DivisionBasra Oil CompanyIraq Basrah Oil Company WQ1 FODBasrahIraq University of Basrah College of ScienceGeology Dept.BasrahIraq

The mishrif Formation(Cenomanian-E Turonian)is one of the most important geological formations in the middle East and Iraq because it contains enormous petroleum *** is considered to be the first reservoir in the region,and is still being studied because of its economic *** carbonate of the mishrif Formation derives from a variety of depositional settings,including mid-ramp,shoal,lagoon,and *** five main microfacies discussed in this paper are wackestone,packstone,grainstone,floatstone,and *** most frequent fossilised components found in the mishrif Formation are rudists,benthic foraminifera,echinoderms,burrows molluscs,and *** to the microfacies and analysed wireline log data,the sequence stratigraphy of the studied formation is composed of two regression *** parasequences of transgressive-regressive cycles make up the depositional sequence of the mishrif *** standard depositional environments seem to demonstrate a gradual regression,beginning with a short period of the outer ramp,then a steady period of the mid-ramp,and ending in the intertidal ***,the study recorded two regional maximum flooding surfaces:K-135 and *** former is present in the lowermost part of the formation,while the other lies in the *** study shows a close relationship between facies(environments)and hydrocarbon *** increased accumulation focuses on the lower part of the studied formation,and seems to be lower in the upper part of the formation as a result of changes in the environment of deposition.

关键词： mishrif formation Cenomanian Sequence stratigraphy Zubair oilfield Iraq

A Template matching Based Feature Extraction for Activity Recognition

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Computers, materials & Continua 2022年第7期72卷 611-634页

作者： muhammad Hameed Siddiqi Helal Alshammari Amjad Ali madallah Alruwaili Yousef Alhwaiti saad Alanazi m.m.Kamruzzaman College of Computer and Information Sciences Jouf UniversitySakakaAljouf2014Kingdom of Saudi Arabia Department of Computer Science COMSATS University IslamabadLahore CampusPakistan

Human activity recognition(HAR)can play a vital role in the monitoring of human activities,particularly for healthcare conscious *** accuracy of HAR systems is completely reliant on the extraction of prominent *** methods find it very challenging to extract optimal features due to the dynamic nature of activities,thereby reducing recognition *** this paper,we propose a robust feature extraction method for HAR systems based on template ***,in this method,we want to associate a template of an activity frame or sub-frame comprising the corresponding *** this regard,the template is placed on the frame pixels to calculate the equivalent number of pixels in the template correspondent those in the *** process is replicated for the whole frame,and the pixel is directed to the optimum *** best count is estimated to be the pixel where the silhouette(provided via the template)presented inside the *** this way,the feature vector is *** feature vector generation,the hiddenmarkovmodel(Hmm)has been utilized to label the incoming *** utilized different publicly available standard datasets for *** proposed method achieved the best accuracy against existing state-of-the-art systems.

关键词： Activity recognition feature extraction template matching video surveillance

Optimization of aerodynamic efficiency for twist morphing mAV wing

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Chinese Journal of Aeronautics 2014年第3期27卷 475-487页

作者： N.I.ismail A.H.Zulkifli m.Z.Abdullah m.Hisyam Basri Norazharuddin Shah Abdullah Faculty of mechanical Engineering Universiti Teknologi MARA Shah Alam 40450 Malaysia School of mechanical Engineering Universiti Sains Malaysia Engineering Campus Nibong Tebal 14300 Malaysia School of materials and mineral Resources Engineering Universiti Sains Malaysia Engineering Campus Nibong Tebal 14300Malaysia

Twist morphing （Tm） is a practical control technique in micro air vehicle （mAV） flight. However, Tm wing has a lower aerodynamic efficiency （CL/CD） compared to membrane and rigid wing. This is due to massive drag penalty created on Tm wing, which had overwhelmed the succes- sive increase in its lift generation. Therefore, further CL/CDmax optimization on Tm wing is needed to obtain the optimal condition for the morphing wing configuration. In this paper, two-way fluid- structure interaction （FSI） simulation and wind tunnel testing method are used to solve and study the basic wing aerodynamic performance over （non-optimal） Tm, membrane and rigid wings. Then, a multifidelity data metamodel based design optimization （mBDO） process is adopted based on the Ansys-DesignXplorer frameworks. In the adaptive mBDO process, Kriging metamodel is used to construct the final multifidelity CL/CD responses by utilizing 23 multi-fidelity sample points from the FSI simulation and experimental data. The optimization results show that the optimal Tm wing configuration is able to produce better CL/CDmax magnitude by at least 2% than the non-optimal Tm wings. The flow structure formation reveals that low TV strength on the optimal Tm wing induces low CD generation which in turn improves its overall CL/CDmax performance.

关键词： Aerodynamics Fluid structure interaction micro air vehicle Optimization Twist morphing

An Optimized Convolutional Neural Network Architecture Based on Evolutionary Ensemble Learning

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Computers, materials & Continua 2021年第12期69卷 3813-3828页

作者： Qasim m.Zainel murad B.K.horsheed saad Darwish Amr A.Ahmed College of Physical Education and Sports Sciences University of KirkukKirkuk36001Iraq College of Administration&Economics University of KirkukKirkuk36001Iraq Department of Information Technology Institute of Graduate Studies and ResearchAlexandria UniversityAlexandriaEgypt Department of Computer Engineering Alexandria Higher Institute of Engineering&Technology(AIET)AlexandriaEgypt

Convolutional Neural Networks(CNNs)models succeed in vast *** are available in a variety of topologies and *** challenge in this area is to develop the optimal CNN architecture for a particular issue in order to achieve high results by using minimal computational resources to train the *** proposed framework to automated design is aimed at resolving this *** proposed framework is focused on a genetic algorithm that develops a population of CNN models in order to find the architecture that is the best *** comparison to the co-authored work,our proposed framework is concerned with creating lightweight architectures with a limited number of parameters while retaining a high degree of validity accuracy utilizing an ensemble learning *** architecture is intended to operate on low-resource machines,rendering it ideal for implementation in a number of *** common benchmark image datasets are used to test the proposed framework,and it is compared to peer competitors’work utilizing a range of parameters,including accuracy,the number of model parameters used,the number of GPUs used,and the number of GPU days needed to complete the *** experimental findings demonstrated a significant advantage in terms of GPU days,accuracy,and the number of parameters in the discovered model.

关键词： Convolutional neural networks genetic algorithm automatic model design ensemble learning