Modeling of Kefir Production with Fuzzy Logic by Hüseyin Nail Akgül, Filiz Yıldız Akgül, Tuna Doğan

“…Kefir incubation temperature between 20 and 25°C, the incubation period between 18 to 22 hours and the inoculum ratio of culture between 1-5% are selected for optimum production conditions. Three separate fuzzy sets (triangular membership function) are used to blur the incubation temperature, the incubation time and the inoculum ratio of culture. …”
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Potential physiological mechanisms behind variation in rainbow trout (Oncorhynchus mykiss) to biosynthesize EPA and DHA when reared on plant oil replacement feeds by Ken Overturf, Jason Abernathy, Dietmar Kültz, Jacob Bledsoe, Shawn Narum, Thomas Welker

“…The omega-3 fatty acids, docosahexaenoic acid (DHA; 22:6n-3) and eicosapentaenoic acid (EPA; 20:5n-3), are of primary concern as they provide significant health benefits such as reducing inflammation and improving heart and health function. However, the DHA; 22:6n-3 and EPA; 20:5n-3 available for aquaculture feeds is primarily provided by fish oil which is already limited in availability and expensive, and dietary lipids are consistently being replaced with oil sourced from plants. …”
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Numerical analysis of spectroscopic studies using supercontinuum generated by noise-like pulses by Christian A. Salcedo-Rodriguez, Eloisa Gallegos-Arellano, Julian M. Estudillo-Ayala, Juan M. Sierra-Hernandez, Jose D. Filoteo-Razo, Maximino R. Tapia-Garcia, Daniel A. Ramos-Gonzalez, Roberto Rojas-Laguna, Juan C. Hernandez-Garcia

“…Simulations were also performed for CH4, showing a visible absorption spectrum, thereby substantiating that these sources powered by NLPs can detect various gases with a high degree of selectivity.…”
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Feature Extraction and Classification of Power Quality Disturbances Using Optimized Tunable-Q Wavelet Transform and Incremental Support Vector Machine by Indu Sekhar Samanta, Pravat Kumar Rout, Kunjabihari Swain, Satyasis Mishra, Murthy Cherukuri

“…The widespread integration of renewable energy sources (RESs) into power systems using power electronics-based interface devices has led to a substantial rise in power quality (PQ) issues. …”
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Attitude of patients and doctors of government health care system to the basic principles of medical ethics by E. P. Pukhova, O. Yu. Kutumova, D. O. Trufanov

“…Materials and methods. For the selection of respondents was used the representative sample based on gender and age of respondents (for the selection of patients), and by specialty of a medical workers (for doctors). …”
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Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

“…This study selected the Zheng Dan-958 maize variety to predict germination rates using multi-source information fusion and a random forest (RF) algorithm. …”
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The modern concept of wound healing in glaucoma surgery by S. Yu. Petrov, D. M. Safonova

“…Due to their influence on the tenon’s capsule fibroblasts, they supposedly play a key role in bleb contraction. Metalloproteinases selective inhibition after glaucoma filtration surgery can serve as a preventive measure against postoperative bleb constriction, which in turn enhances the likelihood of postoperative success.…”
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Mapping Landslide Sensitivity Based on Machine Learning: A Case Study in Ankang City, Shaanxi Province, China by Baoxin Zhao, Jingzhong Zhu, Youbiao Hu, Qimeng Liu, Yu Liu

“…The main purpose of this research is to apply the logistic regression (LR) model, the support vector machine (SVM) model based on radial basis function, the random forest (RF) model, and the coupled model of the whale optimization algorithm (WOA) and genetic algorithm (GA) with RF, to make landslide susceptibility mapping for the Ankang City of Shaanxi Province, China. …”
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Complexity of immunobiology of tumor necrosis factor and novel anti-TNF therapy by S. А. Nedospasov

“…Systemic anti-cytokine therapy is known to be accompanied by undesirable side effects, which can hypothetically be explained by the neutralization of these protective functions. Thus, we developed prototypes of TNF blockers which limit the bioavailability of this cytokine only from its main “pathogenic” source – myeloid cells. …”
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Vocal constraints on song amplitude in star finches Bathilda ruficauda by Hana Goto, Masayo Soma, Ayumi Mizuno, Henrik Brumm

“…This suggests that the frequency-amplitude correlation is a more general phenomenon in bird vocalisations, independent of the overall source amplitude of a species. While the evolution of birdsong is often viewed as constrained by neural costs and body size, or selective pressures from predators and social aggression, our results emphasise the importance of understanding phonetic features as well. …”
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<i>In silico</i> prediction of the transcription factor-enhancer interaction as a first stage of axonal growth regulation by D. D. Kotelnikov, I. A. Sinyakin, E. A. Borodin, T. A. Batalova

“…The enhancer sequence of DCC and SHH protein genes were taken from the NCBI open-source database in FASTA format. Ensembl database was used for enhancer mapping, GeneCards was used for screening and selection of potentially appropriate enhancers and transcription factors associated with these enhancers. …”
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Determination of Pipe Diameter Using Optimization Method by Pavlov Mikhail Vasilyevich, Vafaeva Khristina Maksudovna, Karpov Denis Fedorovich, Bhatnagar Sanjay, Kommanaboina Uma Shankar, Sharma Dikshit, Singh Digvijay, Sateesh N., Singh Pankaj Kumar

“…During the design phase of engineering networks, a critical issue remains the selection of pipe diameters that minimize capital investments for transporting the heat carrier from the heat source to the consumers. …”
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Numerical modeling of complex radiative heat transfer by N. I. Moskalenko, L. V. Rodionov, M. S. Khamidullina, I. A. Afanasyev

“…The application of numerical simulation of the fine structure of the absorption and emission in the complex problems of radiative heat transfer is consider when the structural characteristics of the environment and the boundary conditions are different strong inhomogeneities in temperature, chemical composition and distribution of the radiation sources. The very nature of radiative heat transfer and temperature variation trends over time are determined by the acute effects of selection of the spectra and their modeling require knowledge of spectral line parameters: intensity, half-width position of the centers, contours. …”
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High-Voltage CVT Fault Diagnosis Based on Effective Data Recognition and Multi-dimensional Information Fusion by Huishan ZHANG

“…In view of the poor identification of the effective data in online monitoring of high-voltage capacitor voltage transformer (CVT), this paper proposes a method for effective data identification based on the analysis of data correlation coefficients, with utilization of the data characteristics that multiple online monitoring data sources exhibit linear correlation. To address the prevalent problem in current high-voltage CVT fault diagnosis, such as limited information sources, poor accuracy, and significant interference in partial discharge devices leading to compromised fault signal detection and accuracy, a fault diagnosis method based on multi-dimensional information fusion is proposed. …”
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Atmospheric Turbulence-Controlled Cryptosystems by Ivan B. Djordjevic

“…We also describe a scheme that randomly selects one of several available paths in which the simultaneously measured irradiance samples, after interleaving, are used to generate the raw key. …”
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Sociocultural activities of wartime library within the context of the Ukrainian sociohumanitarian science priorities by Vasylenko Olha, Sereda Tetiana

“…The purpose of the article is to examine legal documents of the National Academy of Sciences of Ukraine during full-scale war in Ukraine as a component of scientific and information source base for the libraries sociocultural activities and to highlight the organization of events on the corresponding topics in the leading scientific libraries. …”
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A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health by Sahezpreet Singh, Puneet Kaur, Inderdeep Kaur, Gurpreet Singh, Satinder Kaur, Parminder Kaur

“…This study investigates the impact of synthetic agrochemicals on human health using advanced machine learning techniques, leveraging multi-level feature selection, hybrid ensemble learning, SHAP, and custom loss function to improve prediction accuracy. …”
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Key Considerations for Ovarian Preservation during Radiotherapy for Cervical Carcinoma by Xiaolong Cheng, Jiping Liu, Xiaojuan Lv, Long Sun

“…Nevertheless, no standardized unified dose limit for ovarian radiation has been established. (2) After screening, a total of 77 patients with complete follow-up data from 2011 to 2018 were selected for the study. Following serum hormone level tests, 73 patients presented normal ovarian function prior to radiotherapy, while 4 demonstrated signs of impaired function. …”
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Learning and Evolution: Factors Influencing an Effective Combination by Paolo Pagliuca

“…In further detail, the author presents a series of empirical studies that highlight some specific conditions determining the success of such combination. Results are obtained in five qualitatively different domains: (i) the 5-bit parity task, (ii) the double-pole balancing problem, (iii) the Rastrigin, Rosenbrock and Sphere optimization functions, (iv) a robot foraging task and (v) a social foraging problem. …”
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Development of a multipurpose GATEWAY-based lentiviral tetracycline-regulated conditional RNAi system (GLTR). by Reinhard Sigl, Christian Ploner, Giridhar Shivalingaiah, Reinhard Kofler, Stephan Geley

“…RNA interference (RNAi) has become an essential technology for functional gene analysis. Its success, however, depends on the effective expression of RNAi-inducing small double-stranded interfering RNA molecules (siRNAs) in target cells. …”
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