Статті в журналах: "Bid Optimizer"

1

Ferraz, José Euclides De Melo, and Christian Johannes Zimmer. "Inclusão de Custos de Transação Não-Lineares na Otimização Média-Variância." Brazilian Review of Finance 3, no. 2 (January 1, 2005): 195. http://dx.doi.org/10.12660/rbfin.v3n2.2005.1150.

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In this article we propose a new way to include transaction costs into a mean-variance portfolio optimization. We consider brokerage fees, bid/ask spread and the market impact of the trade. A pragmatic algorithm is proposed, which approximates the optimal portfolio, and we can show that is converges in the absence of restrictions. Using Brazilian financial market data we compare our approximation algorithm with the results of a non-linear optimizer.

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2

Patil, Ganesh Sampatrao, Anwar Mulla, Subhojit Dawn, and Taha Selim Ustun. "Profit Maximization with Imbalance Cost Improvement by Solar PV-Battery Hybrid System in Deregulated Power Market." Energies 15, no. 14 (July 21, 2022): 5290. http://dx.doi.org/10.3390/en15145290.

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The changeable nature of renewable sources creates difficulties in system security and stability. Therefore, it is necessary to study system risk in several power system scenarios. In a wind-integrated deregulated power network, the wind farm needs to submit the bid for its power-generating quantities a minimum of one day ahead of the operation. The wind farm submits the data based on the expected wind speed (EWS). If any mismatch occurs between real wind speed (RWS) and expected wind speed, ISO enforces the penalty/rewards to the wind farm. In a single word, this is called the power market imbalance cost, which directly distresses the system profit. Here, solar PV and battery energy storage systems are used along by the wind farm to exploit system profit by grasping the negative outcome of imbalance cost. Along with system profit, the focus has also been on system risk. The system risk has been calculated using the risk assessment factors, i.e., Value-at-Risk (VaR) and Cumulative Value-at-risk (CVaR). The work is performed on a modified IEEE 14 and modified IEEE 30 bus test system. The solar PV-battery storage system can supply the demand locally first, and then the remaining power is given to the electrical grid. By using this concept, the system risk can be minimized by the incorporation of solar PV and battery storage systems, which have been studied in this work. A comparative study has been performed using three dissimilar optimization methods, i.e., Artificial Gorilla Troops Optimizer Algorithm (AGTO), Artificial Bee Colony Algorithm (ABC), and Sequential Quadratic Programming (SQP) to examine the consequence of the presented technique. The AGTO has been used for the first time in the risk assessment and alleviation problem, which is the distinctiveness of this work.

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3

Jinba, Takahiro, Hiroto Kitagawa, Eriko Azuma, Keiji Sato, Hiroyuki Sato, Kiyohiko Hattori, and Keiki Takadama. "Multi-objective Optimization for Common and Special Components: First Step Toward Network Optimization of Regular and Non-Regular Flights." New Mathematics and Natural Computation 11, no. 02 (May 20, 2015): 183–99. http://dx.doi.org/10.1142/s1793005715400050.

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To optimize the problem composed of (i) the common components which should be optimized from the viewpoint of all objective functions and (ii) the special components which should be optimized from the viewpoint of one of the objective functions, this paper proposes a new multi-objective optimization method which optimizes not only the common components for all objective functions but also the special ones for each objective function. To investigate the effectiveness of the proposed method, this paper tested our method on the test-bed problem which is an extended version of the 0/1 knapsack problem. The intensive experiments have revealed the following implications: (i) Our method finds better solutions which have higher fitness than the conventional method (NSGA-II); (ii) our method can find the solutions that had a large norm (which corresponds to a high profit of an airline company in the flight scheduling problem) with the high rate of the common components; and (iii) since the crowding distance employed in our method contributes to keeping the diversity during the solution search, our method has high exploration capability of solutions.

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4

S. B, Rashmi, Praveen B, and Tilak B G. "Design of Optimized Reversible BCD Adder/Subtractor." International Journal of Engineering and Technology 3, no. 3 (2011): 230–34. http://dx.doi.org/10.7763/ijet.2011.v3.229.

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5

Ren, Yu Yan, Jie Bao, Ming Sun, and Hong Rui Wang. "Application of SVM Based on Improved Quantum Particle Swarm Optimization in Bio-Mimetic Robotic Horse." Advanced Materials Research 204-210 (February 2011): 306–9. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.306.

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Quantum principles is introduced in particle swarm optimization to optimize SVM, aiming that common optimization algorithms of SVM are easy to relapse into local extreme values and optimization result bad. Quantum particle swarm optimization can improve traverse property of particle, thus can overcome the limitation of local extreme values and optimize SVM well. Use the optimized SVM to control the motion of bio-mimetic robotic horse. And simulation results show that this algorithm can achieve the best control effect quickly and accurately.

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6

Yang, Dalian, Jingjing Miao, Fanyu Zhang, Jie Tao, Guangbin Wang, and Yiping Shen. "Bearing Fault Diagnosis Using a Support Vector Machine Optimized by an Improved Ant Lion Optimizer." Shock and Vibration 2019 (June 27, 2019): 1–20. http://dx.doi.org/10.1155/2019/9303676.

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Bearing is an important mechanical component that easily fails in a bad working environment. Support vector machines can be used to diagnose bearing faults; however, the recognition ability of the model is greatly affected by the kernel function and its parameters. Unfortunately, optimal parameters are difficult to select. To address these limitations, an escape mechanism and adaptive convergence conditions were introduced to the ALO algorithm. As a result, the EALO method was proposed and has been applied to the more accurate selection of SVM model parameters. To assess the model, the vibration acceleration signals of normal, inner ring fault, outer ring fault, and ball fault bearings were collected at different rotation speeds (1500 r/min, 1800 r/min, 2100 r/min, and 2400 r/min). The vibration signals were decomposed using the variational mode decomposition (VMD) method. The features were extracted through the kernel function to fuse the energy value of each VMD component. In these experiments, the two most important parameters for the support vector machine—the Gaussian kernel parameter σ and the penalty factor C—were optimized using the EALO algorithm, ALO algorithm, genetic algorithm (GA), and particle swarm optimization (PSO) algorithm. The performance of these four methods to optimize the two parameters was then compared and analyzed, with the EALO method having the best performance. The recognition rates for bearing faults under different tested rotation speeds were improved when the SVM model parameters optimized by the EALO were used.

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7

Shivakumar, R., R. Lakshmipathi, and Y. Suresh. "Implementation of Bio Inspired Genetic Optimizer in enhancing Power System Stability." International Journal of Engineering and Technology 2, no. 3 (2010): 263–68. http://dx.doi.org/10.7763/ijet.2010.v2.131.

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8

Schäpper, Daniel, Rita Lencastre Fernandes, Anna Eliasson Lantz, Fridolin Okkels, Henrik Bruus, and Krist V. Gernaey. "Topology optimized microbioreactors." Biotechnology and Bioengineering 108, no. 4 (December 1, 2010): 786–96. http://dx.doi.org/10.1002/bit.23001.

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9

Regalado-Méndez, Alejandro, Martín Ruiz, José A. Hernández-Servín, Reyna Natividad, Rubi Romero, Mario E. Cordero, Carlos Estrada-Vázquez, and Ever Peralta-Reyes. "Electrochemical Mineralization of Ibuprofen on BDD Electrodes in an Electrochemical Flow Reactor: Numerical Optimization Approach." Processes 8, no. 12 (December 17, 2020): 1666. http://dx.doi.org/10.3390/pr8121666.

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Statistical analysis was applied to optimize the electrochemical mineralization of ibuprofen with two boron-doped diamond (BDD) electrodes in a continuous electrochemical flow reactor under recirculation batch mode. A central composite rotatable (CCR) experimental design was used to analyze the effect of initial pH (2.95–13.04), current intensity (2.66–4.34 A), and volumetric flow rate (0.16–1.84 L/min) and further optimized by response surface methodology (RSM) to obtain the maximum mineralization efficiency and the minimum specific energy consumption. A 91.6% mineralization efficiency (EM) of ibuprofen with a specific energy consumption (EC) of 4.36 KW h/g TOC within 7 h of treatment was achieved using the optimized operating parameters (pH0 = 12.29, I = 3.26 A, and Q of 1 L/min). Experimental results of RSM were fitted via a third-degree polynomial regression equation having the performance index determination coefficients (R2) of 0.8658 and 0.8468 for the EM and EC, respectively. The reduced root-mean-square error (RMSE) was 0.1038 and 0.1918 for EM and EC, respectively. This indicates an efficient predictive performance to optimize the operating parameters of the electrochemical flow reactor with desirability of 0.9999993. Besides, it was concluded that the optimized conditions allow to achieve a high percentage of ibuprofen mineralization (91.6%) and a cost of 0.002 USD $/L. Therefore, the assessed process is efficient for wastewater remediation.”

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10

Huiqing, Zhang, Ye Chunsong, Zhang Xian, Yang Fan, Yang Jun, and Zhou Wei. "Optimization of photo-Fenton process of RO concentrated coking wastewater using response surface methodology." Water Science and Technology 66, no. 4 (August 1, 2012): 816–23. http://dx.doi.org/10.2166/wst.2012.254.

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The objective of this study was aimed at investigating the removal of chemical oxygen demand (COD) from reverse osmosis (RO) concentrated coking wastewater by the photo-Fenton process. The optimum extraction conditions for the photo-Fenton process by Box–Behnken design (BBD) and response surface methodology (RSM) to establish a predictive polynomial quadratic model were discussed based on a single factor test. Optimized parameters validated by the analysis of variances (ANOVA) were found to be H2O2 concentration of 345.2 mg/L, pH value of 4.1 and reaction time of 103.5 minutes under ultraviolet irradiation. The experimental results of the COD removal under the optimized conditions presented better agreement with the predicted values with deviation error of 3.2%. The results confirmed that RSM based on BBD was a suitable method to optimize the operating conditions of RO concentrated coking wastewater.

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11

Roy, Harekrishna, Sisir Nandi, Ungarala Pavani, Uppuluri Lakshmi, Tamma Saicharan Reddy, and Damarla Venkata Sri Gayatri. "Optimization and Quality by Design Approach for Piroxicam Fast Dissolving Tablet Formulations Using Box-Behnken Design." Current Drug Therapy 15, no. 2 (March 26, 2020): 152–65. http://dx.doi.org/10.2174/1574885514666190409102614.

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Background: The present study deals with the formulation and optimization of piroxicam fast dissolving tablets and analyzes the impact of an independent variable while selecting the optimized formulation utilizing Quality by Design (QbD) and Box-Behnken Design (BBD). Methods: Seventeen formulations were prepared by direct compression technique by altering the proportion of cross carmellose sodium, spray dried lactose and hydro propyl methyl cellulose (HPMC K4M). The BBD statistical technique was used to optimize formulations and correlate the relationship among all the variables. Also, the powder mixture characteristics and tablet physiochemical properties such as hardness, friability, drug content, Disintegration Time (DT) and dissolution test were determined using 900 ml of 0.1N HCl (pH-1.2) at 37 ± 0.5°C. Results: Significant quadratic model and second order polynomial equations were established using BBD. To find out the relationship between variables and responses, 3D response surface and 2D contour plot was plotted. A perturbation graph was also plotted to identify the deviation of the variables from the mean point. An optimized formula was prepared based on the predicted response and the resulting responses were observed to be close with the predicted value. Conclusion: The optimized formulation with the desired parameter and formulation with variables and responses can be obtained by BBD and could be used in the large experiment with the involvement of a large number of variables and responses.

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12

Jawad, Ali, Mohd shafiq Bin Aazmi, and Ali Jawad. "Statistical Optimization for Dye Removal from Aqueous Solution by Cross-linked Chitosan Composite." Science Letters 14, no. 2 (June 1, 2020): 1. http://dx.doi.org/10.24191/sl.v14i2.9537.

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Response surface methodology-Box–Behnken design (RSM-BBD) was employed to optimize the methyl orange (MO) dye removal efficiency from aqueous solution by cross-linked chitosan-tripolyphosphate/nano-titania composite (Chi-TPP/NTC). The influence of pertinent parameters, i.e. A: TiO2 loading (0- 50 %), B: dose (0.04-0.14 g), C: pH (4-10), and D: temperature (30-50 oC) on the MO removal efficiency were tested and optimized using RSM-BBD. The F-values of BBD model for MO removal efficiency was 93.4 (corresponding p-value < 0.0001). The results illustrated that the highest MO removal efficiency (87.27 %) was observed at the following conditions: TiO2 loading (50% TiO2), dose (0.09 g), pH 4.0, and temperature of 40 oC.

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13

Yan, Bo, and Jingjing Yang. "Modeling and Parameter Optimization of Dynamic Characteristic Variables of Ballast Bed during Operation for Dynamic Track Stabilizer." Complexity 2021 (March 11, 2021): 1–11. http://dx.doi.org/10.1155/2021/5519566.

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The high traffic density of railway line causes ballasted track to be extremely busy, and thus it is particularly important to improve the efficiency during railway maintenance. The changing law of dynamic characteristics of ballast bed during operation for the dynamic track stabilizer is conducive to optimize simulation analysis of the vehicle-track system, so as to provide an optimized choice of operating parameters for promoting the pertinence and efficiency of dynamic track stabilizer. This paper presents the acceleration response of vehicle-track-subgrade system during operation of a WD-320 dynamic track stabilizer and proposes the range of effective operating parameters. Then, the influence of operating parameters on the dynamic characteristics of the ballast bed is discussed for searching the optimal operating parameters under the single factor influence. Finally, the change laws including the support stiffness, damping, lateral resistance, and subsidence for the ballast bed are studied, and a parameterized model for dynamic characteristics of the ballast bed which can optimize the selection for operating parameters is constructed, rendering an effective reference variable for improving the simulation accuracy of the vehicle-track coupling system.

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14

Art Chaovalitwongse, W., Wanbin Wang, Trefor P. Williams, and Paveena Chaovalitwongse. "Data Mining Framework to Optimize the Bid Selection Policy for Competitively Bid Highway Construction Projects." Journal of Construction Engineering and Management 138, no. 2 (February 2012): 277–86. http://dx.doi.org/10.1061/(asce)co.1943-7862.0000386.

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15

Rathika, R., Oh Byung-Taek, B. Vishnukumar, K. Shanthi, S. Kamala-Kannan, and V. Janaki. "Synthesis, characterization and application of polypyrrole-cellulose nanocomposite for efficient Ni(II) removal from aqueous solution: Box-Behnken design optimization." e-Polymers 18, no. 4 (July 26, 2018): 287–95. http://dx.doi.org/10.1515/epoly-2017-0215.

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AbstractThe role of polypyrrole-cellulose (PPy-Ce) nanocomposite for the removal of Ni(II) from aqueous solution was investigated by batch experiments. The PPy-Ce nanocomposite was prepared by chemical oxidate polymerization of pyrrole monomer with cellulose. Transmission electron micrography (TEM) showed the size of the particles varied from 80 to 95 nm. The characteristic C-O, O-H, C-N and C-C vibrations in the Fourier transform infrared (FTIR) spectra indicate that the cellulose successfully integrated with the pyrrole. Influence of experimental variables such as pH, contact time, adsorbent dose and initial Ni(II) concentration were optimized using the response surface methodology (RSM) based Box-Behnken design (BBD). The optimal conditions for maximum removal of Ni(II) were pH 8, time 65 min, adsorbent dose 0.3 mg/l and Ni(II) concentration 50 mg/l. The maximum removal efficiency under optimized conditions was >94%. The results indicate that BBD could be used to optimize experimental conditions for metal removal from aqueous solution.

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16

Nakatsuka, Y., and S. Maksyutov. "Optimization of the seasonal cycles of simulated CO<sub>2</sub> flux by fitting simulated atmospheric CO<sub>2</sub> to observed vertical profiles." Biogeosciences Discussions 6, no. 3 (June 22, 2009): 5933–57. http://dx.doi.org/10.5194/bgd-6-5933-2009.

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Abstract. An inverse of a combination of atmospheric transport and flux models was used to optimize model parameters of the Carnegie-Ames-Stanford Approach (CASA) terrestrial ecosystem model. The method employed in the present study is based on minimizing an appropriate cost function (i.e. the weighted differences between the simulated and observed seasonal cycles of CO2 concentrations). We tried to reduce impacts that the inaccuracy of a vertical mixing in a transport model has on the simulated amplitudes of seasonal cycles of carbon flux by using airborne observations of CO2 vertical profile aggregated to a partial column. Effect of the vertical mixing on optimized NEP was evaluated by carrying out 2 sets of inverse calculations: one with partial-column concentration data from 15 locations and another with near-surface CO2 concentration data from the same 15 locations. We found that the values of simulated growing season net flux (GSNF) and net primary productivity (NPP) are affected by the rate of vertical mixing in a transport model used in the optimization. Optimized GSNF and NPP are higher when optimized with partial column data as compared to the case with near-surface data only due to the weak vertical mixing in the transport model used in this study.

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17

Alavipour, S. M. Reza, and David Arditi. "Impact of contractor's optimized financing cost on project bid price." International Journal of Project Management 36, no. 5 (July 2018): 808–18. http://dx.doi.org/10.1016/j.ijproman.2018.03.001.

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18

Nolan, Katrina M., Yuhua Zhang, Joseph M. Antonello, Adrienne H. Howlett, Cyrille J. Bonhomme, Rebecca Greway, Tina Green, Polly de Gorguette d'Argoeuves, David Goldblatt, and Rocio D. Murphy. "Enhanced antipneumococcal antibody electrochemiluminescence assay: validation and bridging to the WHO reference ELISA." Bioanalysis 12, no. 19 (October 2020): 1363–75. http://dx.doi.org/10.4155/bio-2020-0023.

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Aim: To re-optimize the pneumococcal (Pn) electrochemiluminescence (ECL) assay and to validate and bridge the enhanced assay to the WHO ELISA, to support the Phase III clinical trial program for V114, a 15-valent Pn conjugate vaccine. Materials & methods: The Pn ECL assay was re-optimized, validated and formally bridged to the WHO ELISA. Results: The enhanced Pn ECL assay met all prespecified validation acceptance criteria and demonstrated concordance with the WHO ELISA. The corresponding threshold value remains at 0.35 μg/ml for all 15 serotypes. Conclusion: The enhanced Pn ECL assay has been validated for the measurement of antibodies to 15 Pn capsular polysaccharides and is concordant with the WHO ELISA, supporting its use in clinical trials.

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19

Khanal, Neelam, Zhuo Chen, Yun W. Alelyunas, Matthew E. Szapacs, Mark D. Wrona, and Timothy W. Sikorski. "Systematic optimization of targeted and multiplexed MS-based screening workflows for protein biomarkers." Bioanalysis 14, no. 6 (March 2022): 341–56. http://dx.doi.org/10.4155/bio-2021-0245.

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Background: The capability of targeted MS-based methods to simultaneously measure multiple analytes with high selectivity and sensitivity greatly facilitates the discovery and quantitation of novel biomarkers. However, the complexity of biological samples is a major bottleneck that requires extensive sample preparation. Results: This paper reports a generic workflow to optimize surrogate peptide-based protein biomarker screening for seven human proteins in a multiplexed manner without the need for any specific affinity reagents. Each step of the sample processing and LC–MS methods is systematically assessed and optimized for better analytical performance. Conclusion: The established method is used for the screening of multiple myeloma patient samples to determine which proteins could be robustly measured and serve as potential biomarkers of the disease.

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20

Barroso, Tiago L. C. T., Luiz E. N. Castro, Gerardo F. Barbero, Miguel Palma, Ceferino Carrera, Mauricio A. Rostagno, and Tânia Forster-Carneiro. "Optimization of a Microwave-Assisted Extraction Method for the Recovery of the Anthocyanins from Jabuticaba By-Products." Agronomy 13, no. 2 (February 15, 2023): 556. http://dx.doi.org/10.3390/agronomy13020556.

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In this study, a Box-Behnken Design (BBD) has been used to optimize the recovery of bioactive compounds from jabuticaba (Myrciaria cauliflora) by-products through microwave-assisted extraction (MAE). Thus, the Box-Behnken (BBD) experimental design was followed by a response surface methodology (RSM) that would allow investigating the influence of the four independent variables (temperature, solvent composition, pH, and sample-solvent ratio) that have been considered. The results revealed that temperature and solvent composition (%MeOH) were the most significant factors regarding the yields of anthocyanins obtained from the studied plant matrix. The established optimized conditions and 10-min-extraction time resulted in yields of 9.70 ± 0.28 mg g−1 of total anthocyanins. The method exhibited good repeatability and intermediate precision, with RSD variations lower than 5% for both parameters. The developed process was also able to extract and identify anthocyanins in commercial samples (jabuticaba pulp and jam). The results obtained from the optimized MAE method suggest that this technique is not only efficient for the recovery of anthocyanins from jabuticaba by-products, but it is also beneficial for a circular economy approach.

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Sahal, Radhya, Mohammed H. Khafagy, and Fatma A. Omara. "SOOM: Sort-Based Optimizer for Big Data Multi-Query." Big Data 8, no. 1 (February 1, 2020): 38–61. http://dx.doi.org/10.1089/big.2019.0023.

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22

Ni, Haiyan, Jianping Hu, Xuqiang Zhang, and Haotian Zhu. "The Optimizations of Dual-Threshold Independent-Gate FinFETs and Low-Power Circuit Designs." Journal of Circuits, Systems and Computers 29, no. 07 (September 23, 2019): 2050114. http://dx.doi.org/10.1142/s0218126620501145.

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In this paper, a method of optimizing dual-threshold independent-gate FinFET devices is discussed, and the optimal circuit design is carried out by using these optimized devices. Dual-threshold independent-gate FinFETs include low threshold devices and high threshold devices. The low threshold device is equivalent to two merging parallel short-gate devices and high threshold device is equivalent to two merging series SG devices. We optimize the device mainly by selecting the appropriate gate work function, gate oxide thickness, silicon body thickness and so on. Our optimization is based on the Berkeley BSIMIMG model and verified by TCAD tool. Based on these optimized devices, we designed the compact basic logic gates and two new compact D-type flip-flops. Additionally, we developed a circuit synthesis method based on Binary Decision Diagram (BDD) and the optimized compact basic logic gates. Hspice simulations show that the circuits using the proposed dual-threshold IG FinFETs have better performance than the circuits directly using the short-gate devices.

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GEPPERT, ANDREAS, MARKUS KRADOLFER, and DIMITRIOS TOMBROS. "MARKET-BASED WORKFLOW MANAGEMENT." International Journal of Cooperative Information Systems 07, no. 04 (December 1998): 297–314. http://dx.doi.org/10.1142/s0218843098000143.

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This paper presents market-based workflow management, a novel approach to work-flow specification and execution which regards tasks performed in a workflow as goods traded in an electronic market. Information about expected cost and execution time is considered for activity specifications, and is used at runtime to execute workflows such that actual cost and execution times are balanced and optimized. To that end, task assignment follows a bidding protocol, in which each eligible processing entity specifies at which price and in which time interval it can execute the activity. The winner of a specific bidding process is requested to execute the activity, and earns the amount specified in the corresponding bid. Market-based workflow management thus allows to optimize workflow executions with respect to execution time and overall cost; additionally the trading of activities provides an incentive for processing entities to engage in a workflow.

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Kar, Abhijit, Dipendra Kumar Mahato, Avinash Singh Patel, and Lalit M. Bal. "The Encapsulation Efficiency and Physicochemical Characteristics of Anthocyanin from Black Carrot (Daucus Carota Ssp. Sativus) as Affected by Encapsulating Materials." Current Agriculture Research Journal 7, no. 1 (January 19, 2019): 26–36. http://dx.doi.org/10.12944/carj.7.1.04.

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The anthocyanin pigment of black carrot juice was used as a core material for microencapsulation by spray dryer at 150°C using the mixed carrier material viz. whey protein isolate (WPI), jackfruit seed starch (JSS) and NBRE-15. The ratio of WPI: JSS ranged from 1:1 to 1:3 and NBRE-15 from 0.1-0.3% were taken to optimize the carrier material for encapsulation taking anthocyanin content, antioxidant activity and encapsulation efficiency as responses using Box-Behnken Design (BBD) by Response Surface Methodology (RSM). The anthocyanin (core material) was encapsulated at the optimized condition of the carrier material having five times the jackfruit seed starch as the whey protein isolate (5:1) and 0.3% NBRE-15 as an emulsifier. The optimized powder was found to have 2766.61 mg/100g (dry matter) of anthocyanin content, 290.56 µmolTrolox/g (dry matter) antioxidant activity with an encapsulation efficiency of 77.12% at 93.59% of desirability. Optimized powder retained the color value of 30.61, 29.39 and 0.03 for L*, a* and b*. Mean particle size distribution for the optimized encapsulated anthocyanin powder was 52.36 µm. Scanning Electron Microscope (SEM) images revealed the smooth surface characteristic of the optimized powder with slightly oval to globular in shape.

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25

Sahoo, Satya Sankar, and Chandu Babu Rao. "Design, Optimization and Evaluation of Lurasidone Hydrochloride Nanocrystals as Fast Disintegrating Tablets." Asian Journal of Organic & Medicinal Chemistry 4, no. 2 (2019): 121–29. http://dx.doi.org/10.14233/ajomc.2019.ajomc-p209.

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Formulation of poorly water-soluble drugs for oral drug delivery has always been a difficult task for formulation scientists. Lurasidone hydrochloride is one such agent which is used to control bipolar depre-ssion. The objective of this study was to formulate and optimize lurasi-done nanosuspension, further formulating optimized nanosuspensions as fast disintegrating tablets for improved patient compliance. In the present study, lurasidone nanosuspension was prepared by nanomilling technique. Optimized nanosuspension has mean particle diameter of 248.9 nm, polydispersity index of 0.127 and zeta potential of 18.1 mV. The lyophilized optimized nanocrystals, optimize nanosuspension as granulating fluid and as top spraying dispersion for granulation in fluid bed granulator being used to formulate fast disintegrating tablets with suitable super disintegrant. Croscarmellose sodium was found to be best superdisintegrant compared to sodium starch glycolate and crospovidone, as its acts by both mechanism swelling and wicking. Its swells 4-8 folds in less than 10 s. Many folds increase in the rate of drug release observed compare to micronized lurasidone and marketed product. There was no change in crystalline nature after nanomilling as characterized by XRD and FTIR, and it was found to be chemically stable with high drug content. The developed fast disintegrating tablets would be an alternative better formulation than its conventional formulation to address its bioavailability issue and for improved patient compliance. However, this should be further confirmed by appropriate in vivo studies.

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Xu, Baoyu, Hongjun Zhang, Zhiteng Wang, Huaixiao Wang, and Youliang Zhang. "Model and Algorithm of BP Neural Network Based on Expanded Multichain Quantum Optimization." Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/362150.

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Анотація:

The model and algorithm of BP neural network optimized by expanded multichain quantum optimization algorithm with super parallel and ultra-high speed are proposed based on the analysis of the research status quo and defects of BP neural network to overcome the defects of overfitting, the random initial weights, and the oscillation of the fitting and generalization ability along with subtle changes of the network parameters. The method optimizes the structure of the neural network effectively and can overcome a series of problems existing in the BP neural network optimized by basic genetic algorithm such as slow convergence speed, premature convergence, and bad computational stability. The performance of the BP neural network controller is further improved. The simulation experimental results show that the model is with good stability, high precision of the extracted parameters, and good real-time performance and adaptability in the actual parameter extraction.

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Singh, Dhirendra Pratap. "Optimization of Electric Discharge Machining of Al/Al2O3 Metal Matrix Composites using MOPSO." International Journal of Engineering Research in Mechanical and Civil Engineering (IJERMCE) 9, no. 5 (May 18, 2022): 39–47. http://dx.doi.org/10.36647/ijermce/09.05.a007.

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In this article, Response Surface Methodology (RSM) and Multi-objective Particle Swarm Optimization (MOPSO) were used to optimize the output response of Material Removal Rate (MRR) and Surface Roughness(SR) of die-sinking Electrical discharge machining (EDM). An aluminum based metal matrix composites, reinforced with alumina, prepared by stir casting, was used for machining on EDM by Copper (Cu) and Titanium (Ti) tool. Box- Behnken Design (BBD) approach of RSM was used to design the experiment by considering four input factors at three levels. This developed model for multi-objective optimization by MOPSO and an RSM-based multi-objective optimization was also designed for input parameters. And it was found that the MOPSO technique was easy and valuable for parametric optimization of EDM. From MOPSO, optimized input parameters for machining of AMMC using Cu tool are current 4A, Voltage 60V, pulse on-time 100 µs, and duty factor 6. From MOPSO, optimized input parameters for machining of AMMC using Ti tool are current 4.241658A, Voltage 60V, pulse on-time 100 µs, and duty factor 4. The confirmatory test found that MRR and SR decreased by 63.86 % and 53.083% for the Cu tool, respectively, for MOPSO compared to RSM optimize value.

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28

Khan, Aftab, and Hujun Yin. "PARAMETRIC BLIND IMAGE DEBLURRING WITH GRADIENT BASED SPECTRAL KURTOSIS MAXIMIZATION." Image Analysis & Stereology 37, no. 3 (December 6, 2018): 213. http://dx.doi.org/10.5566/ias.1887.

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Анотація:

Blind image deconvolution/deblurring (BID) is a challenging task due to lack of prior information about the blurring process and image. Noise and ringing artefacts resulted during the restoration process further deter fine restoration of the pristine image. These artefacts mainly arise from using a poorly estimated point spread function (PSF) combined with an ineffective restoration filter. This paper presents a BID scheme based on the steepest descent in kurtosis maximization. Assuming uniform blur, the PSF can be modelled by a parametric form. The scheme tries to estimate the blur parameters by maximizing kurtosis of the deblurred image. The scheme is devised to handle any type of blur that can be framed into a parametric form such as Gaussian, motion and out-of-focus. Gradients for the blur parameters are computed and optimized in the direction of increasing kurtosis value using a steepest descent scheme. The algorithms for several common blurs are derived and the effectiveness has been corroborated through a set of experiments. Validation has also been carried out on various real examples. It is shown that the scheme optimizes on the parameters in a close vicinity of the true parameters. Results of both benchmark and real images are presented. Both full-reference and non-reference image quality measures have been used in quantifying the deblurring performance. The results show that the proposed method offers marked improvements over the existing methods.

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Kelotra, Amit, and Prateek Pandey. "Stock Market Prediction Using Optimized Deep-ConvLSTM Model." Big Data 8, no. 1 (February 1, 2020): 5–24. http://dx.doi.org/10.1089/big.2018.0143.

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30

Stephan, Ursula, Silke Kainz, Michael Hengl, Alexander Bickel, Markus Mähr, and Wolfgang Burtscher. "Development and implementation of ecological and economical flood protection measures at an alpine river." E3S Web of Conferences 40 (2018): 02030. http://dx.doi.org/10.1051/e3sconf/20184002030.

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The river Lutz as many other rivers in Austria was forced into a straight and narrow river bed. Several weirs were erected to stabilise the river bed, but which, too, impeded organism passability. After decades with several floods the protection measures were in bad condition. In 2005, a 500-years flood caused heavy damage along the river and destroyed a main railway line. This incident initiated comprehensive planning activities to improve both, the flood protection as well as the ecological status of the river. Several technical measures focussing on stabilising the river bed, increasing the discharge capacity and improving the ecological status such as a step-pool-ramp with variable width, an open rip-rap, an increased river width as well as embankment groynes as an ecological and dynamic bank protection instead of a bank reinforcement were proposed. These measures were tested for feasibility and optimized in a physical model experiment.

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31

Wang, Hui, Guobao Zhang, Yongming Huang, and Yongchun Zhang. "Study on boiler’s comprehensive benefits optimization based on PSO optimized XGBoost algorithm." E3S Web of Conferences 261 (2021): 01027. http://dx.doi.org/10.1051/e3sconf/202126101027.

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To predict the boiler’s combustion efficiency and NOx emissions, this paper introduced a particle swarm optimization optimized XGBoost algorithm. The results show that the MAPE can reach 0.107% and 3.732% respectively on the verification set, which is better SVM, LR and ANN. At the same time, this paper presents a comprehensive benefits evaluation function considering economic and environmental benefits to optimize the multi-objective optimization problem of boiler’s combustion efficiency and NOx emission. Based on the operation data of a 300 MW Circulating Fluidized Bed, the experimental results show that: the comprehensive benefits evaluation function can reasonably balance boiler’s combustion efficiency and NOx emissions to achieve the optimal comprehensive benefit.

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32

Imam, Syed Sarim, Sadaf Jamal Gilani, Ameeduzzafar Zafar, May Nasser bin Jumah, Raisuddin Ali, Mohammed Muqtader Ahmed, and Sultan Alshehri. "Preparation and Optimization of Naringin Oral Nanocarrier: In Vitro Characterization and Antibacterial Activity." Coatings 12, no. 9 (August 23, 2022): 1230. http://dx.doi.org/10.3390/coatings12091230.

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Naringin (NG), is a poorly water-soluble flavonoid that has reported to possess a variety of therapeutic efficacies. The present research work is designed to prepare and optimize Naringin hybrid nanoparticles (NG-HNs) using lipid (A), chitosan (B), and D-α-tocopheryl polyethylene glycol succinate (C). The formulations were optimized using a Box–Behnken Design (BBD), and the selection of optimized composition (NG-HNop) was carried out on the basis of low particle size (Y1) and high entrapment efficiency (Y2) using the point prediction method. The selected NG-HNop was further evaluated in order to study permeation, drug release, antimicrobial and antioxidant effect, and cell viability. The optimized nanoparticles (NG-HNop) showed a particle size and entrapment efficiency of 246 ± 8.3 nm and 83.5 ± 2.1%, with a polydispersibility index (PDI) of 0.23 and a Zeta potential of + 18.1 mV, indicating high stability. The optimized NG-HNop exhibited better drug release (89.62 ± 4.54%) and enhanced permeation (3.7 folds). A significant improvement in the antimicrobial activity was achieved against Escherichia coli with respect to Staphylococcus aureus with the hybrid nanoparticles. They also exhibited better activity in the tested cell line. On the basis of the study results, hybrid nanoparticles of Naringin are an alternative oral delivery method for treating cancer cells.

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33

Saha, Tushar, Nusrat Ahmed, Ikramul Hasan, and Md Selim Reza. "Preparation, Characterization and Optimization of Mucoadhesive Domperidone Tablets by Box Behnken Design." Dhaka University Journal of Pharmaceutical Sciences 19, no. 1 (June 26, 2020): 65–76. http://dx.doi.org/10.3329/dujps.v19i1.47820.

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Анотація:

In pharmaceutical industry, statistically valid experimental design can be utilized to optimize data in order to provide an economic and effective formulation, which could overcome several product and process development problems. Domperidone is a BCS Class II drug and has wide range of use, but has very poor bioavailability when administered orally because of degradation in intestinal fluid. The present study was focused on formulation, evaluation and optimization of mucoadhesive tablets of domperidone using a four-factor, three-level Box-Behnken design (BBD) so as to retain the prepared optimized formulation in gastric fluid for a prolong period of time in order to have better bioavailability and to get a sustained action. Physicochemical properties of the prepared formulations were determined according to the USP pharmacopeia official method and found satisfactory, except friability which was optimized to get the acceptable value. In-vitro dissolution study was performed for 8 hours for all the prepared formulations using USP II (paddle type) dissolution tester having 0.1N HCl (pH 1.2) as dissolution medium. Obtained data was further analyzed by means of quadratic response surface models so as to find out an optimize formulation in terms of desirable condition of dissolution rate after 1 hour, after 8 hours, total mucoadhesion time and tablet friability. Optimized formulation was further evaluated and it was found that, it was almost similar to the proposed optimized data. The formulation can provide a high degree of patient compliance, as sustained release formulation reduces the side effects and the cost of the formulation will be minimal as lesser amount of effort will be needed employing statistical model instead of conventional trial and error method. Dhaka Univ. J. Pharm. Sci. 19(1): 65-76, 2020 (June)

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34

Soliman, Noha M., Faiyaz Shakeel, Nazrul Haq, Fars K. Alanazi, Sultan Alshehri, Mohsen Bayomi, Ahmed S. M. Alenazi, and Ibrahim A. Alsarra. "Development and Optimization of Ciprofloxacin HCl-Loaded Chitosan Nanoparticles Using Box–Behnken Experimental Design." Molecules 27, no. 14 (July 13, 2022): 4468. http://dx.doi.org/10.3390/molecules27144468.

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Various chitosan (CS)-based nanoparticles (CS-NPs) of ciprofloxacin hydrochloride (CHCl) have been investigated for therapeutic delivery and to enhance antimicrobial efficacy. However, the Box–Behnken design (BBD)-supported statistical optimization of NPs of CHCl has not been performed in the literature. As a result, the goal of this study was to look into the key interactions and quadratic impacts of formulation variables on the performance of CHCl-CS-NPs in a systematic way. To optimize CHCl-loaded CS-NPs generated by the ionic gelation process, the response surface methodology (RSM) was used. The BBD was used with three factors on three levels and three replicas at the central point. Tripolyphosphate, CS concentrations, and ultrasonication energy were chosen as independent variables after preliminary screening. Particle size (PS), polydispersity index (PDI), zeta potential (ZP), encapsulation efficiency (EE), and in vitro release were the dependent factors (responses). Prepared NPs were found in the PS range of 198–304 nm with a ZP of 27–42 mV. EE and drug release were in the range of 23–45% and 36–61%, respectively. All of the responses were optimized at the same time using a desirability function based on Design Expert® modeling and a desirability factor of 95%. The minimum inhibitory concentration (MIC) of the improved formula against two bacterial strains, Pseudomonas aeruginosa and Staphylococcus aureus, was determined. The MIC of the optimized NPs was found to be decreased 4-fold compared with pure CHCl. The predicted and observed values for the optimized formulation were nearly identical. The BBD aided in a better understanding of the intrinsic relationship between formulation variables and responses, as well as the optimization of CHCl-loaded CS-NPs in a time- and labor-efficient manner.

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35

Adami, Amirhossein, Mahdi Mortazavi, Mehran Nosratollahi, Mohammadreza Taheri, and Jalal Sajadi. "Multidisciplinary Design Optimization and Analysis of Hydrazine Monopropellant Propulsion System." International Journal of Aerospace Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/295636.

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Monopropellant propulsion systems are widely used especially for low cost attitude control or orbit correction (orbit maintenance). To optimize the total propulsion system, subsystems should be optimized. Chemical decomposition, aerothermodynamics, and structure disciplines demand different optimum condition such as tank pressure, catalyst bed length and diameter, catalyst bed pressure, and nozzle geometry. Subsystem conflicts can be solved by multidisciplinary design optimization (MDO) technique with simultaneous optimization of all subsystems with respect to any criteria and limitations. In this paper, monopropellant propulsion system design algorithm is presented and the results of the proposed algorithm are validated. Then, multidisciplinary design optimization of hydrazine propulsion system is proposed. The goal of optimization can be selected as minimizing the total mass (including propellant), minimizing the propellant mass (maximizing the Isp), or minimizing the dry mass. Minimum total mass, minimum propellant mass, and minimum dry mass are derived using MDO technique. It is shown that minimum total mass, minimum dry mass, and minimum propellant mass take place in different conditions. The optimum parameters include bed-loading, inlet pressure, mass flow, nozzle geometry, catalyst bed length and diameter, propellant tank mass, specific impulse (Isp), and feeding mass which are derived using genetic algorithm (GA).

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36

Kamala Kumari, P. V., M. Sai Sri Vastav, and Y. Srinivasa Rao. "Development and Optimization of Orodispersible Tablets of Fexofenadine Hydrochloride (FFH) by Box-Behnken Statistical Design (BBD)." INTERNATIONAL JOURNAL OF DRUG DELIVERY TECHNOLOGY 12, no. 03 (June 30, 2022): 1357–66. http://dx.doi.org/10.25258/ijddt.12.3.71.

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The aim of the present study was to formulate orodispersible tablets of fexofenadine Hydrochloride by studying the effect of the variable for response with the help of Box-Behnken design. A total of 17 formulations were prepared by altering the proportion of crospovidone, sodium starch glycolate and mannitol by direct compression technique. BBD was employed to study the relations among the variables and to statistically optimize the formulation parameter for ODT tablets of fexofenadine Hydrochloride. Response surface and contour plots were plotted based on BBD and relationship between the variables and responses were established. Further evaluation of responses with respect to variables was made with 3D surface plot that allows evaluating a blend selected variables at a time and assessing the effect of variation and interaction on responses. In conclusion, an optimized model was obtained based on predicted and observed response for the three dependent variables.

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37

Altintas, Mehmet M., Christina K. Eddy, Min Zhang, James D. McMillan, and Dhinakar S. Kompala. "Kinetic modeling to optimize pentose fermentation inZymomonas mobilis." Biotechnology and Bioengineering 94, no. 2 (2006): 273–95. http://dx.doi.org/10.1002/bit.20843.

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38

Mellouli, Sofiene, Fatma Bouzgarrou, Talal Alqahtani, Salem Algarni, Kaouther Ghachem, and Lioua Kolsi. "Parametric Optimization of a Truncated Conical Metal Hydride Bed Surrounded by a Ring of PCM for Heat Recovery." Materials 16, no. 8 (April 19, 2023): 3234. http://dx.doi.org/10.3390/ma16083234.

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Metal hydride (MH) hydrogen storage needs an external heat source to release the stored hydrogen. To enhance the thermal performance of MHs, the incorporation of phase change materials (PCM) is a way to preserve reaction heat. This work proposes a new MH-PCM compact disk configuration (i.e., a truncated conical MH bed surrounded by a PCM ring). An optimization method is developed to find the optimal geometrical parameters of the MH truncated cone, which is then compared to a basic configuration (i.e., a cylindrical MH surrounded by a PCM ring). Moreover, a mathematical model is developed and used to optimize the heat transfer in a stack of MH-PCM disks. The optimum geometric parameters found (bottom radius of 0.2, top radius of 0.75 and tilt angle of 58.24) allow the truncated conical MH bed to reach a faster heat transfer rate and a large surface area of higher heat exchange. Compared to a cylindrical configuration, the optimized truncated cone shape enhances the heat transfer rate and the reaction rate in the MH bed by 37.68%.

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39

Zhao, Yanzhe, Li Cui, Vinothkumar Sivalingam, and Jie Sun. "Understanding Machining Process Parameters and Optimization of High-Speed Turning of NiTi SMA Using Response Surface Method (RSM) and Genetic Algorithm (GA)." Materials 16, no. 17 (August 24, 2023): 5786. http://dx.doi.org/10.3390/ma16175786.

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This study aimed to optimize machining parameters to obtain better surface roughness and remnant depth ratio values under dry turning of NiTi-shape memory alloy (SMA). During the turning experiments, various machining parameters were used, including three different cutting speeds vc (105, 144, and 200 m/min), three different feed rates f (0.05, 0.1, and 0.15 mm/rev), and three different depths of cut ap (0.1, 0.15, and 0.2 mm). The effects of machining parameters in turning experiments were investigated on the response surface methodology (RSM) with Box–Behnken design (BBD) using the Design Expert 11; how the cutting parameters affect the surface quality is discussed in detail. In this context, the cutting parameters were successfully optimized using a genetic algorithm (GA). The optimized processing parameters are vc = 126 m/min, f = 0.11 mm/rev, ap = 0.14 mm, resulting in surface roughness and remnant depth ratio values of 0.489 μm and 64.13%, respectively.

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40

Givi, Hadi, Mohammad Dehghani, Zeinab Montazeri, Ruben Morales-Menendez, Ricardo A. Ramirez-Mendoza, and Nima Nouri. "GBUO: “The Good, the Bad, and the Ugly” Optimizer." Applied Sciences 11, no. 5 (February 25, 2021): 2042. http://dx.doi.org/10.3390/app11052042.

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Optimization problems in various fields of science and engineering should be solved using appropriate methods. Stochastic search-based optimization algorithms are a widely used approach for solving optimization problems. In this paper, a new optimization algorithm called “the good, the bad, and the ugly” optimizer (GBUO) is introduced, based on the effect of three members of the population on the population updates. In the proposed GBUO, the algorithm population moves towards the good member and avoids the bad member. In the proposed algorithm, a new member called ugly member is also introduced, which plays an essential role in updating the population. In a challenging move, the ugly member leads the population to situations contrary to society’s movement. GBUO is mathematically modeled, and its equations are presented. GBUO is implemented on a set of twenty-three standard objective functions to evaluate the proposed optimizer’s performance for solving optimization problems. The mentioned standard objective functions can be classified into three groups: unimodal, multimodal with high-dimension, and multimodal with fixed dimension functions. There was a further analysis carried-out for eight well-known optimization algorithms. The simulation results show that the proposed algorithm has a good performance in solving different optimization problems models and is superior to the mentioned optimization algorithms.

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41

Govindarajan, Sridhar, and Richard A. Goldstein. "Searching for foldable protein structures using optimized energy functions." Biopolymers 36, no. 1 (July 1995): 43–51. http://dx.doi.org/10.1002/bip.360360105.

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42

Gilbert, Alan, and Friedrich Srienc. "Optimized evolution in the cytostat: A Monte Carlo simulation." Biotechnology and Bioengineering 102, no. 1 (January 1, 2009): 221–31. http://dx.doi.org/10.1002/bit.22045.

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43

Gilbert, Alan, Dipen P. Sangurdekar, and Friedrich Srienc. "Rapid strain improvement through optimized evolution in the cytostat." Biotechnology and Bioengineering 103, no. 3 (June 15, 2009): 500–512. http://dx.doi.org/10.1002/bit.22272.

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44

Ju, W., S. Wang, G. Yu, Y. Zhou, and H. Wang. "Modeling the impact of drought on canopy carbon and water fluxes through parameter optimization using an ensemble Kalman filter." Biogeosciences Discussions 6, no. 4 (August 21, 2009): 8279–309. http://dx.doi.org/10.5194/bgd-6-8279-2009.

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Abstract. Soil and atmospheric water deficits have significant influences on CO2 and energy exchanges between the atmosphere and terrestrial ecosystems. Model parameterization significantly affects the ability of a model to simulate carbon, water, and energy fluxes. In this study, an ensemble Kalman filter (EnKF) and observations of gross primary productivity (GPP) and latent heat (LE) fluxes were used to optimize model parameters significantly affecting the calculation of these fluxes for a subtropical coniferous plantation in southeastern China. The optimized parameters include the maximum carboxylation rate (Vcmax), the Ball-Berry coefficient (m) and the coefficient determining the sensitivity of stomatal conductance to atmospheric water vapor deficit D0). Optimized Vcmax and m showed larger seasonal and interannual variations than D0. Seasonal variations of Vcmax and m are more pronounced than the interannual variations. Vcmax and m are associated with soil water content (SWC). During dry periods, SWC at the 20 cm depth can explain 61% and 64% of variations of Vcmax and m, respectively. EnKF parameter optimization improves the simulations of GPP, LE and sensible heat (SH), mainly during dry periods. After parameter optimization using EnKF, the variations of GPP, LE and SH explained by the model increased by 1% to 4% at half-hourly steps and by 3% to 5% at daily time steps. Efforts are needed to develop algorithms that can properly describe the variations of these parameters under different environmental conditions.

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45

Fan, Ding Hui, Li Yin, Jie Liu, Wei Min Cao, and Zu Yu Liu. "Study on Optimization of Cationic Resin Regeneration Conditions." Advanced Materials Research 997 (August 2014): 851–57. http://dx.doi.org/10.4028/www.scientific.net/amr.997.851.

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In order to optimize the regeneration conditions of cation exchange resin, the paper based on the actual data of production, the cation exchange resin regeneration condition was optimized by the process of mathematical modeling, which achieved good results. Research showed that reducing regeneration acid feeding time could effectively reduce the consumption. It could reduce the production cost and make enterprises obtain more economic benefits. Calculated and measured were agreed showed that the study and calculation on regeneration of cation bed were accord with actual production, and had practical value for ion regeneration process. Through least square fitting showed that the 80min was the best acid feeding time, acid consumption of unit volume of water was the lowest.

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46

Li, Xiaoxia, Yu Ri Lee, and Kyung Ho Row. "Preparation of a monolithic sorbent using a response surface methodology." International Journal of Engineering & Technology 5, no. 2 (May 27, 2016): 47. http://dx.doi.org/10.14419/ijet.v5i2.5769.

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Анотація:

A 17-run Box-Behnken Design (BBD) was introduced to optimize the synthesis conditions of a monolithic sorbent. The effects of the amount of monomer (mL), crosslinker (mL) and porogen (mL) were investigated. The experimental data was fitted to a second - order polynomial equation by multiple regression analysis, which was examined using statistical methods. The adjusted coefficient of determination (R2Adj) in this model was 0.9867. The probability value (p<0.0001) revealed the high significance of the regression model. A mean amount of 5057.4 mg polymer was produced under the following optimized synthesis conditions: 0.51 mL monomer, 2.94 mL crosslinker and 2.84 mL porogen. The actual experimental result was in good agreement with the predicted model value.

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Choudhary, Nisha, Dipika Chavda, Vaishali Thakkar, and Tejal Gandhi. "Identification of Critical Factors Influencing the In-Vitro Dissolution o f Bicalutamide Tablets Prepared Using Madg Technique." Journal of Pharmaceutical Research 21, no. 1 (June 15, 2022): 27–37. http://dx.doi.org/10.18579/jopcr/v21i1.ms21.81.

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This study was aimed to utilize the Moisture Activated Dry Granulation (MADG) technique to formulate Bicalutamide tablet and identify critical factors influencing its dissolution. The Bicalutamide inclusion complex was formed using the kneading method. Aeroperl 300 was selected as an adsorbent, polyvinylpyrrolidone (PVP) K30 as a binder, Microcrystalline Cellulose (MCC) and Lactose Monohydrate (LMH) in1:1 ratio as fillers. Croscarmellose sodium (CCS) and neusilin were used as disintegrating agents, as they did not affect the disintegration time when hardness and compression force increased. Box Behnken experimental design was used to optimize formulations and was evaluated for pre and post-compression parameters. The optimized formulation was compared with the marketed and wet granulation formulation. In addition, the short term stability testing of the optimized batch was performed. The optimized inclusioncomplex of hydroxypropyl beta-cyclodextrin (HP-ß-CD) was selected based on a phase solubility study in 1:1 ratio with drug toimprove solubility. The optimized batch was prepared by MADG at granulator speed of 540rpm, using 4.30 % PVPK30, and 1.5 % Aeroperl 300. It showed a disintegration time of 208.33 sec.Percentage drug release was 95.02 % in 30 mins, and hardness 5.4 kg/cm2. The stability study results confirmed the stability of the tablets. The Bicalutamide tablet was successfully formulated using the MADG technique. The parameters affecting the in-vitro dissolution were identified and optimized, leading to better bioavailability. Keywords: Bicalutamide, Moisture Activated Dry Granulation technology (MADG), hydroxypropyl beta-cyclodextrin (HP-β-CD), Box Behnken design (BBD), Croscarmellose sodium

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Mujtaba, Md Ali, Nawaf M. Alotaibi, Sultan M. Alshehri, Mohammad Yusuf, Md Khalid Anwer, Mohammad Akhlaquer Rahman, and Arshiya Parveen. "Novel Therapeutic Approach in PEGylated Chitosan Nanoparticles of Apigenin for the Treatment of Cancer via Oral Nanomedicine." Polymers 14, no. 20 (October 15, 2022): 4344. http://dx.doi.org/10.3390/polym14204344.

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The goal of this study was to optimize and formulate apigenin (APG)-loaded pegylated chitosan nanoparticles (PEGylated-CNPs) via ionic gelation techniques using the Box–Behnken design (BBD). Three individual variables, X1(chitosan: TPP concentration), X2 (PEG-400 concentration), and X3 (sonication time), were investigated for their influence on response variables (Y1—particle size (PS); Y2—drug entrapment efficiency (DEE); and Y3—zeta potential (ZP). The optimized formula of APG-PEGylated CNPs was picked from the statistical design and was then examined for physical, morphological, release characterization, anti-oxidant, and anti-tumor potential. The average PS, PDI, %DEE, and ZP were found to be 139.63 ± 5.67 nm, 0.296 ± 0.014, 79.55 ± 3.12%, and 24.68 ± 1.84 mV, respectively. The optimized APG formulation was chosen and reformulated based on the desirability function. Results of the observed and predicted values of responses through the BBD process were found to be nearly identical. The resulting APG-PEGylated CNPs were spherical and smooth, according to surface morphology studies. The release study revealed that PEGylated-CNPs exhibited biphasic release patterns distinguished by an initial burst release of APG only at early phases accompanied by a delayed release near 24 h. Furthermore, APG-PEGylated CNPs demonstrated statistically increased antioxidant activities and cytotoxicity against MCF-7 cells compared to pure APG. Based on the findings, it is possible to conclude that BBD was efficient in optimizing the PEGylated CNPs formulation and recognizing the impacts of formulation variables. In conclusion, the developed formulation has a significant potential for anticancer therapy.

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Banerjee, Rintu, and B. C. Bhattacharyya. "Evolutionary operation (EVOP) to optimize three-dimensional biological experiments." Biotechnology and Bioengineering 41, no. 1 (January 5, 1993): 67–71. http://dx.doi.org/10.1002/bit.260410109.

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50

Trica, Bogdan, Naomi Tritean, Diana Constantinescu-Aruxandei, and Florin Oancea. "Optimization of the Mung Bean Seed Coating with Alginate in a Bottom-Sprayed Wurster Fluidized Bed Coater." Coatings 13, no. 3 (March 6, 2023): 562. http://dx.doi.org/10.3390/coatings13030562.

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Seed coating is used to improve seed handling or target the delivery of different active ingredients: (micro)nutrients and biofortifying minerals, plant biostimulants, and plant protection compounds. One type of coating is based on using film-forming biopolymers. The coating could be applied using various equipment, including the Wurster fluidized-bed coater. Deterministic models have been proposed to predict the coating process performance in the Wurster fluidized-bed coater. However, such deterministic models do not closely match real behavior. This paper proposes a statistical model approach to optimize the mung bean seed coating with a mixture of alginate/glycerol in a Wurster fluidized bed coating process. The process was optimized for a specific case through a factorial experimental design for the following parameters: the liquid flow rate, the mass of seeds, the backpressure period, and the nozzle pressure. The statistical analysis was done using Design-Expert 11®. The formed film was analyzed by scanning electron microscopy. Finally, the germination percentage (GP), germination energy (GE), germination rate (GR), mean germination time (MGT), and vigor index (VI) were determined for the coated mung bean seeds. An algorithm is proposed to identify the optimal coating conditions in a bottom-spray Wurster fluidized-bed coater for any coating solution or seed pair.

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