Search

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 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]

This article presents a fuzzy SVIRS disease system with Holling type-II saturated incidence rate and saturated treatment, in which all parameters related to population dynamics have been considered as fuzzy numbers. Then, the existence condition and permanence of the SVIRS model have been discussed and we derived disease-free and endemic equilibrium points of the proposed fuzzy system. The local stability conditions of the fuzzy system around these equilibrium points using Routh–Hurwitz criteria are discussed. We also verified global stability around the interior steady state using Lozinskii measure. Computer simulations are provided to understand the dynamics of the proposed system. Parameter analysis is carried out with the help of computer simulation. Fuzzy provides better solution for any disease modeling in many ways like disease detection and transmission, different stages of disease, risk analysis (through parameter analysis), and optimal recovery solutions. Earlier literature acts as background to startup this disease modeling and optimal solutions provided by fuzzy logic is one of the motivational key element behind this fuzzy SVIRS model with Holling type-II and its analysis by both analytical and computer simulation. [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]

Considering the direct correlation between charge transfer and heat of adsorption, we have equated the isosteric heat of adsorption (Qst) with Nalewajski's charge transfer equation involving equalized electronegativities and chemical hardness given in the literature. The equation is then tested and compared with the experimental heat of adsorption values of organic molecules over zeolites given in the literature with the average percentage deviation of 15·9. Other similar types of equations of charge transfer affinity are also tested. Various semi-empirical equations based on Barrer's approach of the determination of Qst and neural network method have been proposed, tested and compared for the first time. [ABSTRACT FROM AUTHOR]