Support vector machine (SVM) has become one of most developed methods for classification, focusing on cross-sectional analysis. However, classification of time series data is an important issue in statistics and data mining. Classification of time series data using SVMs that focus on cross-sectional data leads to improper classification, and hence, the SVM needs to be extended for handling time series dataset. As with cross-section data, the problem of imbalanced data is also common in time series data. Fuzzy method has been proven to be capable of overcoming the case of imbalanced data. In this paper, we developed a Fuzzy Support Vector Machine (FSVM) model to classify time series data with imbalanced class. The proposed method puts the fuzzy membership function on the constraint function. Through simulation studies, this research aims to assess the performance of the developed FSVM in classifying time series data. Based on the classification accuracy criteria, we prove that the proposed FSVM method outperforms the standard SVM method for the classification of multiclass time series data.

This research conducted testing on the influence of business strategy, leadership style, and internal control system (IC) on implementation of Good Government Governance (GGG) and its implication on organizational performance of Social Security Administrator for Health (known as BPJS Kesehatan). Data analysis was performed using a descriptive method, assisted by a statistical tool Structural Equation Modeling (SEM)-Lisrel. The data was tabulated from distributed and returned questionnaires from 325 deputy offices, branch offices, and service offices. The results showed that business strategy, leadership style, and the effectiveness of IC influenced the implementation of Good Government Governance. The result also provides evidence that leadership style had a positive significant influence on performance. Conversely, the business strategy and effectiveness of IC did not have a positive significant influence on BPJS performance.

This work includes the synthesis of ten heterocyclic compounds (3a-i and 4) containing pyrimidine moiety incorporated in their structures. Structure characterizations of these compounds were performed by using elemental and spectroscopic analyses. Their toxicity as potential insecticidal agents against the adults and nymphs of cowpea Aphid, Aphis craccivora Koch was evaluated. The results of this toxicological activity test revealed that a reasonable number of these compounds possess excellent toxicological activity against cowpea aphids such as compounds (3d), (3c), and (3b) with LC50 values 0.0125, 0.0134, and 0.0383 ppm, respectively. The toxicological activities of the rest of the tested compounds ranged from good to moderate against the same insects.

We conducted an initial evaluation of the effectiveness of the application of the model of capacity building for early diagnosis and treatment with PCI in STEMI patients in Nghe An to contribute to solving the problems and to be able to replicate the model. STEMI patients received PCI from 7/2018 - 8/2020 at Nghe An General Hospital. Retrospective and prospective cross-sectional study, intervention with comparison before and after intervention included 280 patients, mean age 71.9 ± 14.59 (years); men accounted for 69.3%. After implementing the model, the number of patients increased by 135%, the time of the door - the ball decreased (71.3 ± 71.8 compared to 152.29 ± 167.3 minutes), the length of hospital stays, and the mortality rate decreased significantly.

In this communication, condensation from different aromatic, aliphatic and heteroaromatic aldehydes, hydroxyl amine, and sodium azide in toluene reflux was used to produce electronically and structurally distinct tetrazoles with a range of yields 5-94%. Zn(OAc)2•2H2O (10 mol%) was used as a catalyst in the synthesis, which was eco-friendly, readily available, and affordable. The IR, NMR, and mass spectral studies were utilized in order to carry out a comprehensive characterization for all the 5-aryl tetrazole derivatives. This approach contributes to the current chemical synthesis of 5-substituted-1H-tetrazoles in an appealing and convenient manner thanks to its quick reaction times, good to exceptional yields, safe process, and straightforward workup.

The genetic algorithm (GA) is a natural selection-inspired optimization algorithm. It is a population-based search algorithm that utilizes the concept of survival of the fittest. This study creates a new crossover operator called “Stas Crossover” that is a combination of four crossover operators, including Single point crossover, Two points crossover, Arithmetic crossover, and Scattered crossover, and then presents the performance of this crossover operator. The area size and probability of Stas crossover can be adjusted.GA is used to find the optimal solution for this multi-product and multi-period aggregate production planning (APP) problem, which was used to test the algorithm, which provides optimal levels of inventory, backorders, overtime and regular production rates, and other controllable variables. According to the findings of this study, the benefit of stable crossover is that it allows for more variety in the way offspring are created and increases the opportunity for offspring to obtain good genetic information directly.

A series of new derivatives of 3-(pyrrol-4-yl)acrylamides 3a-l with the pyrrole nucleus functionalized by chlorine atoms and ester group, have been synthesized by simple preparative methods from the available esters of 5-chloro-4-formylpyrrol-3-carboxylic acids 1a-e. At first, 3-(pyrrol-4-yl)acrylic acids 2a-e were synthesized by the Knoevenagel’s reaction between malonic acid and the esters 1a-e. Then the target compounds were obtained with a high yield in the reactions between chloroanhydrides of the synthesized acrylic acids and aromatic or aliphatic amines in the boiling benzene. The structure of all obtained compounds was confirmed by elemental analysis, IR, ¹H-NMR, and ¹³C-NMR spectroscopy, and additionally checked by the mass-spectrometry. Then the antimicrobial activity of all amides was tested in vitro on some gram-positive and gram-negative bacteria and fungi. It has been found that the gram-negative bacteria are resistant against the synthesized chemicals, while the gram-positive bacteria are sensitive to the amides 3с, e, f, g, i. The highest activity against Staphylococcus aureus MR and Staphylococcus epidermidis MS was registered for the amide 3f, and the retardation area diameter for this amide was greater than that for the control drugs.

Uncertainty is an important factor in the decision-making process. Hesitant Pythagorean fuzzy sets (HPFS), a combination of Pythagorean and hesitant fuzzy sets, proved as a significant tool to handle uncertainty. Well-defined operational laws and attribute weights play an important role in decision-making. Thus, the paper aims to develop new Trigonometric Operational Laws, a weight determination method, and a novel score function for group decision-making (GDM) problems in the HPF environment. The approach is presented in three phases. The first phase defines new operational laws with sine trigonometric function incorporating its special properties like periodicity, symmetricity, and restricted range hence compared with previously defined aggregation operators they are more likely to satisfy the decision maker preferences. Properties of trigonometric operational laws (TOL) are studied and various aggregation operators are defined. To measure the relationship between arguments, the operators are combined with the Generalized Heronian Mean operator. The flexibility of operators is increased by the use of a real parameter λ to express the risk preference of experts. The second phase defines a novel weight determination method, which separately considers the membership and non-membership degrees hence reducing the information loss and the third phase conquers the shortcomings of previously defined score functions by defining a novel score function in HPFS. To further increase the flexibility of defined operators they are extended in the environment with unknown or incomplete attribute weights. The effectiveness of the GDM model is verified with the help of a supplier selection problem. A detailed comparative analysis demonstrates the superiority, and sensitivity analysis verifies the stability of the proposed approach.

In this study, seven cyano-benzylidene and bisbenzylidene derivatives were designed and synthesized. All synthesized compounds were evaluated to determine their insecticidal activities as potential insecticides against nymphs and adults of Aphis nerii. These efforts led to the discovery of compounds 3a-d, 5, 7 and 10 with potent insecticidal activity (LC50 range from 0.0141 to 3.4351ppm). Compound 5 exhibited the highest insecticidal potency with 0.0141ppm. In addition, it indicated that compound 3b is less toxic than benzylidene and other precursors. Therefore, our results suggest that compound 5 has strong potential as a candidate component for developing a novel eco-friendly insecticide for control Aphids.

Extensive research work has been published on Tetrahydro and Dihydropyrimidine derivatives. Pyrimidine-5-Carbonitrile and its analogs have demonstrated a large number of activities. Some 6-Halogenosubstituted pyrimidine analogs have also been reported to be biologically active to a certain extent, but the literature survey reveals not much report on 6-alkylated pyrimidine derivatives. Targeting enhancement in biologically useful properties of a lead molecule through the association of it with active pharmacophoric groups or molecules is a conventional method in pharmaceutical research. With an aim to explore a better useful Dihydropyrimidine derivative, a newer 4-Alkylated-1,6-dihydropyrimidine analog (1) has been prepared. The lead molecule (1) has further been converted to amine derivative (2), hydrazino derivative (3) tri substituted s-triazinyl derivative (4), sulphonamide (5), Schiff’s base (6), a thiazolidinones (7), and 2-Azetidinones (8) respectively using various methods. Compounds 2, 4, 5, and 7 showed 50% and 8 showed 100% bacterial inhibition at 32μg/mL in single-point bacterial inhibition against various bacterial strains.