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Research ArticleOpen accessEvery word in the titleEffects of Different Extraction Methods on the Quality of Peony Seed Oil and Its Emulsion PropertiesKang Li, Chao Du, Shuxian Pang et al.Peony seed oil, as a functional oil rich in ω-3 polyunsaturated fatty acids and natural antioxidant components, has its extraction process directly affecting the maintenance of bioactive substances and the added value of the product. In this analysis, the effects of wet milling-micronized continuous leaching method (MCI), solvent extraction (SE), soxhlet extraction (SOXE) and ethanol-assisted enzymatic hydrolysis (EAH) on the … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 28 Jan 2026 · 1,955 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluation of Subset Matching Methods: Evidence from a Monte Carlo Simulation StudyLateef Amusa, Temesgen Zewotir, Delia NorthIn the absence or infeasibility of experiments, matching methods have increasingly been used in making causal claims using observational data. This paper conducts a Monte Carlo simulation study, based on a household panel survey, to compare the performance of some widely used subset matching methods. The methods include the propensity score caliper matching, Mahalanobis distance matching, and coarsened exact matching. … …American Journal of Applied Sciences, Vol. 16, Issue 3 · 11 Apr 2019 · 7,740 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnalysis of Constituents and Bacteriostatic Activity of Essential Oil Extracted from Sea Buckthorn Seeds by Different MethodsHepeng Zhao, Fuyin Zhao, Qian Xiao et al.Sea buckthorn is a homologous plant listed in Chinese pharmacopoeia. The Essential Oils (EOs) of Sea Buckthorn Seeds (SBTS) are widely used in medicine and health products in China, Russia and other countries. The extraction methods of SBTS with advantages of low cost, high yield and high activity have attracted considerable attention. In this study, the extraction rate, chemical compositions … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 2 · 4 Jun 2021 · 7,480 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleInfluence of Mineral Fertilizers and Methods of Basic Tillage on the Yield and Oil Content of SunflowerBeybit Nasiyev, Aida DukeyevaThe purpose of the study was to evaluate the influence of mineral fertilizers and methods of basic tillage on the yield and oil content of sunflowers in the north of Kazakhstan. The experiment was conducted in the agricultural experimental Station Zarechnoye limited liability partnership with southern thin chernozem soils. Records and observations of the growth and development of sunflowers were … …OnLine Journal of Biological Sciences, Vol. 23, Issue 3 · 23 May 2023 · 5,254 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMapping of Temperature Trend Slope in Iran′s Zayanderud River Basin: A Comparison of Interpolation MethodsAli Zahraei, Saeid Eslamian, Ali Saeidi Rizi et al.The spatial distribution of daily, nightly and mean temperature trend in Iran′s Zayanderud river basin was carried out in this study by applying three approaches of interpolation including Inverse Distance Weighting (IDW), Multiple Linear Regression (MLR) and integration of these two methods (IDW+MLR). In this paper, t-test and statistical measures including Mean Absolute Error (MAE), Root Mean Square Error (RMSE), … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 2 · 26 Jun 2019 · 7,470 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparative Analysis of Fraud Detection Methods in Banking Using Machine Learning TechniquesYoussef Tounsi, Ennouri TaziFraud detection in banking requires algorithms that balance classification performance, computational efficiency, and regulatory interpretability, criteria that are rarely benchmarked together. We present a comprehensive evaluation of nine machine learning approaches (Logistic Regression, Decision Tree, Random Forest, SVM, SGD, XGBoost, CatBoost, LightGBM, and MLP) across three datasets differing in size, imbalance severity, and feature type (synthetic, real-world PCA-anonymized, and large-scale … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,341 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMethods for Growing Complete Feed for Livestock on the Forage Lands of West Kazakhstan in the Framework of Sustainable ManagementBeybit Nasiyev, Peizhi Yang, Azhar Latenova et al.Sustainable management of forage lands is critical for livestock productivity in the arid and semi-arid regions of West Kazakhstan, where pasture degradation and declining forage quality pose increasing challenges to agricultural sustainability. This study aimed to evaluate the effects of different grazing methods on the vegetation condition, productivity, and nutritional quality of pastures in West Kazakhstan. Pasture vegetation was assessed … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 3 Apr 2026 · 1,458 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSperm DNA Fragmentation and Apoptosis Levels: A Comparison of the Swim up and the Density Gradient Centrifugation Methods for Sperm PreparationSilvia W. Lestari, Triyana Sari, Dwi A. PujiantoThis study investigated the efficiency of two sperm preparation methods, namely, density gradient centrifugation and the swim-up method, in selecting spermatozoa based on the DNA fragmentation index and the apoptosis levels. Fifteen semen samples from infertile couples underwent sperm preparation in this study. The Makler® counting chamber and Eosin Y staining were used to analyse the sperm concentration, motility and … …OnLine Journal of Biological Sciences, Vol. 16, Issue 4 · 14 Nov 2016 · 7,419 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Survey of Anomaly Detection Using Data Mining Methods for Hypertext Transfer Protocol Web ServicesMohsen Kakavand, Norwati Mustapha, Aida Mustapha et al.In contrast to traditional Intrusion Detection Systems (IDSs), data mining anomaly detection methods/techniques has been widely used in the domain of network traffic data for intrusion detection and cyber threat. Data mining is widely recognized as popular and important intelligent and automatic tools to assist humans in big data security analysis and anomaly detection over IDSs. In this study we … …Journal of Computer Science, Vol. 11, Issue 1 · 22 Jan 2015 · 9,252 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA COMPARATIVE STUDY OF COMBINED FEATURE SELECTION METHODS FOR ARABIC TEXT CLASSIFICATIONAisha Adel, Nazlia Omar, Adel Al-ShabiText classification is a very important task due to the huge amount of electronic documents. One of the problems of text classification is the high dimensionality of feature space. Researchers proposed many algorithms to select related features from text. These algorithms have been studied extensively for English text, while studies for Arabic are still limited. This study introduces an investigation … …Journal of Computer Science, Vol. 10, Issue 11 · 20 Dec 2014 · 8,433 accessesView PDFCite