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This article presents an artificial drug abusers system consolidating the impact of treatment with psychological and physiological addicts under fuzzy parameters. In the fuzzy model, all of the parameters are considered to be triangular fuzzy numbers to represent the uncertainty that pervaded the dynamics. To handle the arrangements while avoiding problems, the fuzzy model is turned into a defuzzified model using the utility function method. The fuzzy model's positivity and boundedness are carefully explored, and an equilibrium analysis is also completed. Both the drug-addict equilibrium and the drug-free equilibrium have established stability analyses. This article explains fuzzy optimum control using Pontryagin's maximum principle. Finally, it is shown that the treatment alongside counselling and conducting awareness programs is more fruitful and drug-related controlling is more viable in the fuzzy nature. Likewise, we plot the 3D associations with fuzzy parameters which show the inventiveness and appropriateness of the results. [ABSTRACT FROM AUTHOR]

In this paper, we argue that in terms of spatiotemporal fluctuations non population density, the genuine allelopathic prey-predator system is typically inhomogeneous. With this in mind, we add noise to the system to simulate the effect of environmental heterogeneity on prey-predator interactions. The noise analysis of the system suggests the impression of the environmental pollution on the dynamical behavior of solutions. We mainly focused on the importance of stochastic coefficient, diffusion coefficient and its possible ergodic behavior in a time dependent and time independent prey population density problem is taken under consideration in the study. [ABSTRACT FROM AUTHOR]

In order to sabotage our country's currency, criminals have introduced counterfeit notes that look like the real thing into the financial market. In the wake of the country's demonetization, a lot of fake currency is circulating. In general, it is difficult for a human being to distinguish a forged note from a genuine one, as many features of a forged note are similar to those of the original one. It's difficult to tell the difference between a real bank note and a fake one. Because of this, there must be an automated system that can be found in banks or ATMs. It is necessary to design an efficient algorithm that can predict whether a banknote is genuine or forged in order to create such an automated system, as counterfeit banknotes are extremely precise. Bank currency authentication can be detected using six supervised machine learning algorithms that were tested on a dataset from the UCI machine learning repository. On the basis of various quantitative analysis parameters such as Precision and Accuracy as well as MCC and F1-Score, we have applied Support Vector Machine (SVM), Random Forest (Random Forest), Logistic Regression (Logistic Regression), Naive Bayes, Decision Tree (K-Nearest Neighbor), and K-Nearest Neighbor (KNN). [ABSTRACT FROM AUTHOR]

To put it simply, malware is posing a serious threat to global network security as the Internet era has progressed at an unprecedented rate. Using SIMGRU, we present an Android malware detection method that falls under the static detection category. Using the clustering similarity, which is widely used in static analysis of Android malware, we were able to improve the Gated Recurrent Unit (GRU) and produce three distinct structures of Sim GRU: Input Sim GRU, Hidden Sim GRU, and Input hidden SIMGNU There are two types of input hidden sim gru: input and hidden. Results show that the GRU model and other methods are outperformed by the Sim GRU, Hidden GRU, and Input Hidden GRU. [ABSTRACT FROM AUTHOR]

Using a high performance liquid chromatography (HPLC), a meticulous, liable and hasty method was developed for the determination of Netupitant (NTPT) and Palonosetron (PLST) simultaneously. Prior to RP-HPLC, the method employs proteins precipitation as sample preparation with acetonitrile only. Waters C18 column was used to chromatograph the analytes at ambient temperature with isocratic elution of ammonium acetate (pH 6.0)-methanol (35:65, v/v) with flow rate of 1ml/min and UV detection at 229 nm. The chromatographic run time was 10 min for the mixture with retention time of 4.91 min for PLST and 3.16 min for NTPT. Over the range of 250-3500ng/ml, the calibration curves were linear. The method was validated in terms of accuracy, precision, absolute recovery, freeze-thaw stability, bench-top stability and re-injection reproducibility. The within- and between-day accuracy and precision were found to be within acceptable limits <15%. The analytes were stable after three freeze-thaw cycles (deviation <15%). The planned method was definite for the simultaneous determination of NTPT and PLST in human plasma. [ABSTRACT FROM AUTHOR]

This study focused on the effect of drilling parameters such as helix angle, spindle speed and feed rate on surface roughness, flank wear and acceleration of drill vibration velocity. Using design of experiments, 18 experiments were conducted on AISI 304 steel with carbide twist drill bits. A laser Doppler vibrometer was used for online acquisition of cutter vibration data in the form of acousto optic emission signals. A fast Fourier transformer was used to convert the time domain signals into frequency domain. Response surface methodology was used to identify significant parameters in the analysis of surface roughness, flank wear and acceleration of drill vibration velocity. A multi response surface optimization technique was used to find out optimum drilling parameters. Helix angle of 25°, feed rate of 10 mm and spindle speed of 750 r/min were found to be optimum cutting parameters for minimization of surface roughness, flank wear and acceleration of vibration velocity. [ABSTRACT FROM AUTHOR]

Turn milling is one of the machining processes used to mill circular work pieces while the work piece rotates about its own axis. Orthogonal milling is one of the turn milling processes where the bottom part of cutter removes material from the rotating work piece with high metal removal rate. In this article, tool condition was studied by analyzing surface roughness and vibration of cutter with the use of response surface methodology. According to design of experiments, 16 experiments were conducted on ASTM B139 phosphor bronze with high-speed steel end mill cutter on four-axis milling machine. The response surface methodology was used to find out significant parameters that are affecting surface roughness and amplitude of cutter vibration. A multi-response optimization technique was used to identify optimum cutting parameters for less surface roughness and amplitude of cutter vibration. [ABSTRACT FROM AUTHOR]

In this article, effect of cutting parameters, namely, cutting speed, feed rate and tool nose radius, on the tool life was examined experimentally. The experiments were performed on boring of AISI 316 steel with cemented carbide tool inserts. Design of experiments was prepared, and eight experiments were performed with two levels of the cutting parameters. The effects of cutting parameters were analyzed by evaluating the amplitude of workpiece vibration, surface roughness and volume of metal removed. The experimental data were taken for evaluation of tool life for a flank wear of 0.6 mm in all the eight trials. A laser Doppler vibrometer was used for online data acquisition of workpiece vibration, and a high-speed fast Fourier transform analyzer was used to process the acousto-optic emission signals for the workpiece vibration. Taguchi, analysis of variance and regression analysis methods were used to identify significant cutting parameters affecting the workpiece vibrations, surface roughness and volume of metal removed. All selected analysis methods used in this study predicted similar cutting parameter. [ABSTRACT FROM AUTHOR]