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排序方式: 共有272条查询结果,搜索用时 15 毫秒
51.
R. Say R. Hilal Şenay Özlem Biçen Arzu Ersöz Filiz Şişman Yılmaz Sinan Akgöl Adil Denizli 《Materials science & engineering. C, Materials for biological applications》2013,33(4):1900-1906
α-Amylase (EC 3.2.1.1; α-d-1,4,glucan glucanohydrolase) catalyzes the hydrolysis of α-d-(1,4)-glucosidic linkages in starch, glycogen, and various malto-oligosaccharides, by releasing α-anomeric products. In this study, a novel method has been developed to prepare nanoprotein particles that carry α-amylase as a monomer by using a photosensitive microemulsion polymerization process. The nanostructured α-amylase with photosensitive features have been characterized by fluorescence spectroscopy, transmission electron microscopy (TEM) and Zeta Sizer. The fluorescence intensity of amylase nanoparticles was determined to be 658 a.u. at 610 nm and the average particle size of nanoamylase was found to be about 71.8 nm. Both free α-amylase and nanoparticles were used in the hydrolysis of starch under varying reaction conditions such as pH and temperature that affect enzyme activity and the results were compared to each other. Km values were 0.26 and 0.87 mM and Vmax values were 0.36 IU mg? 1 and 22.32 IU mg? 1 for nanoenzyme and free enzyme, respectively. Then, thermal stability, storage stability and reusability were investigated and according to the results, activity was preserved 60% at 60 °C; 20% at 70–80 °C temperature values and 80% after 105 days storage. Finally after 10 cycles, the activity was preserved 90% and this novel enzymatic polymeric amylase nanoparticle has showed considerable potential as reusable catalyst. 相似文献
52.
Nidal Hilal Gerald Busca Martin D Waller 《Journal of chemical technology and biotechnology (Oxford, Oxfordshire : 1986)》2005,80(6):641-648
Traditional treatment methods of waste metalworking fluids produce an aqueous phase containing toxic components and with a high Chemical Oxygen Demand (COD). In this paper, a biological solution is proposed to further reduce both the effluent COD and its toxicity. A method to develop a bioconsortium from microbes found in the waste metalworking fluid is proposed. The development took place in three phases: feasibility, bioconsortium development and optimisation. Flask tests have been used to show the feasibility of using the metalworking fluid indigenous microbial community for the degradation of the nanofiltration permeate of the metalworking fluid. A suspended bioreactor allowed the development of a better‐adapted consortium. Finally, a fixed bed bioreactor inoculated with the developed bioconsortium was set up and run for 8 months to test the bioconsortium's robustness and to optimise the biological process. A bioconsortium was successfully developed using a simple method and a 90% reduction in the original nanofiltration COD level was achieved by the fixed bed bioreactor. Copyright © 2005 Society of Chemical Industry 相似文献
53.
Interfacial polymerization is one of the main techniques for producing composite nanofiltration (NF) membranes. In this study, five NF membranes were produced through interfacial polymerization under different conditions of reactions, namely varying reaction time, as well as monomer concentrations. The membranes were then imaged using atomic force microscope (AFM). AFM images provided information of the average pore size, pore size distribution, and surface roughness. For some of the membranes, discrete pore sizes were visible. Increasing the reaction time resulted in decreasing water permeabilities but based on AFM imaging the pore size was of similar value. Increasing the monomer concentration also resulted in decreasing water permeabilities. However, based on AFM imaging the pore size differs considerably. Additional permeation experiments were also carried out using NaCl and Na2SO4 solutions with membranes identified as NF. By fitting the rejection data using a model such as the Donnan‐steric‐pore model, the variation in effective charge density of the membranes was also determined. The ability to tailor composite NF membranes with the right properties will significantly improve membrane performance. © 2005 Wiley Periodicals, Inc. J Appl Polym Sci 96: 605–612, 2005 相似文献
54.
Bed expansion occurs during the operation of gas‐fluidized beds and is influenced by particle properties, gas properties and distributor characteristics. It has a significant bearing on heat and mass transfer phenomena within the bed. A method of predicting bed expansion behavior from other fluidizing parameters would be a useful tool in the design process, dispensing with the need for small‐scale trials. This study builds on previous work on fluidized beds with vertical inserts to produce a correlation that links a modified particle terminal velocity, minimum fluidizing velocity and distributor characteristics with bed voidage in the relationship with P as the pitch between holes in the perforated distributor plate. 相似文献
55.
Mustafa Sahin Ilkay Hilal Gubbuk Nuriye Kocak 《Journal of Inorganic and Organometallic Polymers and Materials》2012,22(6):1279-1286
Two Schiff base derivatives, (2-pycolylimino)benzen-1,4-diol and (2-pyridylimino)benzen-1,4-diol) were immobilized onto sporopollenin (Lycopodium clavatum) surfaces. The compounds were fully characterized by an infrared spectroscopy, elemental analysis, scanning electron microscopy, and X-ray diffraction techniques. The sorption capacities of the immobilized surfaces toward Ru(III) ions were investigated by batch sorption experiments. For the sorption experiment, the Ru(III) concentration, initial pH, and the temperature effects were studied. The isotherm data of Ru(III) ions were correlated reasonably well as a Freundlich sorption isotherm. The thermodynamic studies showed that the Ru(III) sorption onto immobilized sporopollenin derivatives is a non-spontaneous, endothermic and physical reaction. 相似文献
56.
Anwer Mustafa Hilal Aisha Hassan Abdalla Hashim Heba G. Mohamed Mohamed K. Nour Mashael M. Asiri Ali M. Al-Sharafi Mahmoud Othman Abdelwahed Motwakel 《计算机、材料和连续体(英文)》2023,74(1):607-629
Cybersecurity-related solutions have become familiar since it ensures security and privacy against cyberattacks in this digital era. Malicious Uniform Resource Locators (URLs) can be embedded in email or Twitter and used to lure vulnerable internet users to implement malicious data in their systems. This may result in compromised security of the systems, scams, and other such cyberattacks. These attacks hijack huge quantities of the available data, incurring heavy financial loss. At the same time, Machine Learning (ML) and Deep Learning (DL) models paved the way for designing models that can detect malicious URLs accurately and classify them. With this motivation, the current article develops an Artificial Fish Swarm Algorithm (AFSA) with Deep Learning Enabled Malicious URL Detection and Classification (AFSADL-MURLC) model. The presented AFSADL-MURLC model intends to differentiate the malicious URLs from genuine URLs. To attain this, AFSADL-MURLC model initially carries out data preprocessing and makes use of glove-based word embedding technique. In addition, the created vector model is then passed onto Gated Recurrent Unit (GRU) classification to recognize the malicious URLs. Finally, AFSA is applied to the proposed model to enhance the efficiency of GRU model. The proposed AFSADL-MURLC technique was experimentally validated using benchmark dataset sourced from Kaggle repository. The simulation results confirmed the supremacy of the proposed AFSADL-MURLC model over recent approaches under distinct measures. 相似文献
57.
Mesfer Al Duhayyim Marwa Obayya Fahd N. Al-Wesabi Anwer Mustafa Hilal Mohammed Rizwanullah Majdy M. Eltahir 《计算机、材料和连续体(英文)》2022,71(1):825-842
With technological advancements in 6G and Internet of Things (IoT), the incorporation of Unmanned Aerial Vehicles (UAVs) and cellular networks has become a hot research topic. At present, the proficient evolution of 6G networks allows the UAVs to offer cost-effective and timely solutions for real-time applications such as medicine, tracking, surveillance, etc. Energy efficiency, data collection, and route planning are crucial processes to improve the network communication. These processes are highly difficult owing to high mobility, presence of non-stationary links, dynamic topology, and energy-restricted UAVs. With this motivation, the current research paper presents a novel Energy Aware Data Collection with Routing Planning for 6G-enabled UAV communication (EADCRP-6G) technique. The goal of the proposed EADCRP-6G technique is to conduct energy-efficient cluster-based data collection and optimal route planning for 6G-enabled UAV networks. EADCRP-6G technique deploys Improved Red Deer Algorithm-based Clustering (IRDAC) technique to elect an optimal set of Cluster Heads (CH) and organize these clusters. Besides, Artificial Fish Swarm-based Route Planning (AFSRP) technique is applied to choose an optimum set of routes for UAV communication in 6G networks. In order to validated whether the proposed EADCRP-6G technique enhances the performance, a series of simulations was performed and the outcomes were investigated under different dimensions. The experimental results showcase that the proposed model outperformed all other existing models under different evaluation parameters. 相似文献
58.
Ahmet Bulut Mehmet Yurderi Orhan Alal Hilal Kivrak Murat Kaya Mehmet Zahmakiran 《Advanced Powder Technology》2018,29(6):1409-1416
Formic acid (HCOOH) is one of the promising fuels for direct liquid fed fuel cells. However, CO poisoning is a major challenge for the development of effective catalytic system for formic acid electrooxidation (FAEO). Herein, a novel CO-resistive activated carbon supported Pd-MnOx bimetallic catalyst (Pd-MnOx/C) was presented for FAEO. Pd-MnOx/C catalyst was prepared via simple and reproducible surfactant-free deposition-reduction technique. The characterization of this novel Pd-MnOx/C catalyst was performed by inductively coupled plasma-optical emission spectroscopy (ICP-OES), powder X-ray diffraction (PXRD), X-ray photoelectron spectroscopy (XPS), bright field transmission electron microscopy (BFTEM), high resolution transmission electron microscopy (HRTEM), scanning transmission electron microscopy (STEM), and scanning transmission electron microscope-energy dispersive X-ray spectroscopy (STEM-EDX). The characterization results revealed that Pd and MnOx nanoparticles (NPs) were well dispersed and separately nucleated with a mean diameter of 2.9?nm on the surface of active carbon. FAEO studies were performed on both Pd-MnOx/C and Pd/C catalysts to comprehend the effect of separately formed MnOx on the electrocatalytic activity of Pd NPs. The electrochemical measurements were carried out by using Cyclic Voltammetry (CV) and Chronoamperometry (CA), CO-Strriping Voltammetry, Lineer Sweep Voltammetry (LSV), Electrochemical impedance spectroscopy (EIS) techniques. Electrochemical results revealed that FAEO was activated by the addition of MnOx. Pd0.6-Mn0.4 exhibited the optimum catalytic activity with 1.05?A/mg Pd current density. The sum of their results clearly points that the existence of MnOx NPs enhances the electrocatalytic activity of Pd NPs by increasing their CO-resistivity and durability throughout the FAEO. 相似文献
59.
A new analytical three-dimensional cone beam reconstruction algorithm is presented for truncated spherical detection geometry. The basic idea of the proposed algorithm is the formation of spatially invariant 3D blurred back-projected volumetric image by the use of the weighted backprojection of cone beam projection data and subsequent 3D filtering using an acceptance angle dependent rho filter. The backprojection weighting function is calculated on the basis of each given geometrical condition, i.e. detection geometry or degree of truncation, position of cone beam apex, and backprojection point. The proposed algorithm is derived analytically and is computationally efficient. Performance of the algorithm is evaluated by the reconstruction of 3D volumetric images using simulated data from arbitrarily truncated spherical detector geometries. 相似文献
60.
Himanshu Sharma karthikeyan Rajagopal G. Gugapriya Rajneesh Pareek Arun Kumar Haya Mesfer Alshahrani Mohamed K. Nour Hany Mahgoub Mohamed Mousa Anwer Mustafa Hilal 《计算机系统科学与工程》2023,45(2):1199-1210
Multicarrier Waveform (MCW) has several advantages and plays a very important role in cellular systems. Fifth generation (5G) MCW such as Non-Orthogonal Multiple Access (NOMA) and Filter Bank Multicarrier (FBMC) are thought to be important in 5G implementation. High Peak to Average Power Ratio (PAPR) is seen as a serious concern in MCW since it reduces the efficiency of amplifier use in the user devices. The paper presents a novel Divergence Selective Mapping (DSLM) and Divergence Partial Transmission Sequence (D-PTS) for 5G waveforms. It is seen that the proposed D-SLM and PTS lower PAPR with low computational complexity. The work highlighted a combination of multi-data block partial transmit schemes along with tone reservation. In this, an overlapping factor is used to determine the number of data blocks for every group. Here, considering only those data blocks that have minimum signal power, the use of DSLM and DPTS are required to eliminate the segment’s peaks. Simulation results reveal that the suggested hybrid technique proves to be better than the conventional PTS scheme. Furthermore, the power saving performance of FBMC and NOMA is compared with the Orthogonal Frequency Division Multiplexing (OFDM) waveform. 相似文献