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Relevant bibliographies by topics / Qu (Selection: Extracts, etc.)

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Academic literature on the topic 'Qu (Selection: Extracts, etc.)'

Author: Grafiati

Published: 29 July 2024

Last updated: 30 July 2024

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Journal articles on the topic "Qu (Selection: Extracts, etc.)"

1

Chiang, C. Y., and P. C. Tang. "273 SELECTION OF PLURIPOTENT STEM CELLS INDUCED BY XENOPUS EGG EXTRACTS." Reproduction, Fertility and Development 21, no. 1 (2009): 234. http://dx.doi.org/10.1071/rdv21n1ab273.

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It has been reported that Xenopus egg extracts contain molecules that are capable of reprogramming mammalian somatic cells. The reprogrammed somatic cells, which are called extract treated cells (ETC), possess the potential for clinical therapy as embryonic stem (ES) cells do. Therefore, in addition to establishment of an efficient method to reprogram mouse NIH/3T3 cells by Xenopus egg extracts, the aim of this study was to select the ETC cells by the expression of Oct4. In Experiment 1, two methods, electroporation or permeabilization, were conducted to treat mouse NIH/3T3 cells with Xenopus

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2

Alfauzan, Abdullah H., and Abduljabbar G. Hussain. "Attitude towards and Perception of Literature in EFL Setting: A Case Study on QU Male Undergraduate Students." English Language Teaching 10, no. 1 (2016): 1. http://dx.doi.org/10.5539/elt.v10n1p1.

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The study attempts to investigate the attitude and perception of Saudi undergraduate students towards English literature courses as a part of their BA English Program at a large public university in KSA. A total of 59 students (25 studying a literature course, 25 linguistics course and nine had already passed at least one literature course) participated in the study. Applying mixed method research design, questionnaires were used to collect quantitative data and retrospective essays were used for qualitative data. A modified version of AMTB developed by Gardner and associates was used to measu

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3

Singh, Karan, and Rajeev Gupta. "SO-AODV." Journal of Information Technology Research 14, no. 3 (2021): 87–103. http://dx.doi.org/10.4018/jitr.2021070106.

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MANET has emerged as an eager field for supporting disaster response and prevention applications like climate and weather observation, tracking, tsunamis, wildfire and emergency rescue operations, underwater level navigation, etc. In this paper, a new ad-hoc routing protocol named SO-AODV (Secured and Optimized Ad-Hoc On-Demand Distance Vector) is proposed for secured and optimized communication in any disaster like situations. For shortest route selection a technique called pigeons swarm optimization (PiSO) is used that also leads to minimize the hop count in selected optimal route. Lightweig

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4

Kosiv, R. "Selection of functional ingredients for fortification of soft beverages." Scientific Messenger of LNU of Veterinary Medicine and Biotechnologies 25, no. 100 (2023): 105–11. http://dx.doi.org/10.32718/nvlvet-f10017.

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The creation of functional soft drinks enriched with biologically active substances of natural origin necessary for human health is relevant and of great practical importance. The fortification of soft drinks is aimed at creating functional drinks by introducing sources of physiologically functional ingredients during their industrial production. Functional ingredients are classified into several groups: vitamins, omega-3 fatty acids, dietary fiber, minerals, antioxidants, essential amino acids, probiotics, prebiotics, synbiotics, postbiotics. The natural sources containing the relevant functi

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5

Mohanavel, Adithya, Dinesh Ram Danaraj, and Dr Sabiyath Fatima N. "Classification of Human Emotion Using DT-SVM Algorithm with Enhanced Feature Selection and Extraction." Webology 19, no. 1 (2022): 3529–44. http://dx.doi.org/10.14704/web/v19i1/web19233.

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Emotions are a basic component of human life. It generates different brain waves for emotions such as happiness, sadness, anger, calmness, tension, excitement, etc. The brain waves are electric and their electric impulse can be measured and recorded as a continuous stream of data. These emitted brain waves are recorded using an EEG device. Many existing systems are in use that feeds the recorded data into various Machine learning algorithms to classify the emotions. These systems are huge and complex, thus require a great amount of time for initializing and working. While a lot of algorithms a

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6

Kushnareva, A. V., Т. V. Shelengа, I. N. Perchuk, et al. "Selection of an optimal method for screening the collection of narrow-leaved lupine held by the Vavilov Institute for the qualitative and quantitative composition of seed alkaloids." Vavilov Journal of Genetics and Breeding 24, no. 8 (2020): 829–35. http://dx.doi.org/10.18699/vj20.680.

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Narrow-leaved lupine (Lupinus аngustifolius L.) is a widely cultivated leguminous forage and green manure crop with a potential for human nutrition. However, the presence of secondary metabolites – alkaloids – in lupine seeds considerably affects the quality of raw produce, reducing its nutritive value; in addition, high concentrations of alkaloids are toxic to humans and animals. Therefore, plant breeders working with lupine need to gain knowledge about the variability of alkaloid content in seeds of different genotypes and search for the sources of their low concentrations in the crop’s gene

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7

Bogodist-Timofeeva, E. Yu, E. S. Nozhko, and T. V. Kalinovskaya. "Modeling of the fat base of cosmetic creams." New Technologies 17, no. 6 (2022): 17–25. http://dx.doi.org/10.47370/2072-0920-2021-17-6-17-25.

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The development of the formulation of cosmetic creams with a fat base, as a rule, is based on a rich practical experience, which has found expression in a number of generally accepted strategies. At the same time, the most difficult stage is the creation of a multicomponent mixture of oils with a balanced fatty acid composition, taking into account skin type, age-related changes, etc. An alternative to the empirical approach can be the creation of mathematical models of fat mixtures based on an unambiguous clear choice of criteria and restrictive conditions for the content of individual fatty

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8

Razgonova, Mayya P., Muhammad Amjad Navaz, Andrey S. Sabitov, et al. "The Global Metabolome Profiles of Four Varieties of Lonicera caerulea, Established via Tandem Mass Spectrometry." Horticulturae 9, no. 11 (2023): 1188. http://dx.doi.org/10.3390/horticulturae9111188.

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Blue honeysuckle (Lonicera caerulea L.) bears dietary fruits that are rich in bioactive compounds. However, information on the metabolome profiles of honeysuckle varieties grown in Russia is limited. In this study, we employed tandem mass spectrometry to study the metabolome profiles of four L. caerulea varieties (Volhova, Tomichka, Goluboe vereteno, and Amfora) grown in two geographical locations in Russia, i.e., the Russian Far East and St. Petersburg. We observed that the metabolome profiles of the four varieties grown in two locations differ significantly, particularly in the polyphenol’s

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9

Parola, Simone, Luca Chiodaroli, Viviana Orlandi, Candida Vannin, and Luigi Panno. "Lentinula edodes and Pleurotus ostreatus: functional food with antioxidant - antimicrobial activity and an important source of Vitamin D and medicinal compounds." Functional Foods in Health and Disease 7, no. 10 (2017): 773. http://dx.doi.org/10.31989/ffhd.v7i10.374.

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Background: Mushrooms produce a large amount of medicinal compounds, and are also an optimal source of fibres, proteins, vitamins (like groups B and D), and other micronutrients including potassium, magnesium, etc. Consequently, mushrooms are commonly considered to be functional foods. Many works report the high biological potentials of medicinal mushrooms involving their antibacterial, hypoglycaemic, anticholesterolemic, radical scavenging, and anti-inflammatory effects.Context and purpose of this study: First off, this work aimed to find strains of Lentinula edodes and Pleurotus ostreatus fr

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10

Wu, Qiao. "Flavor and Rapid Prediction of Red Wine by the Chemometrics Algorithm Based on Multidimensional Spectral Data." Computational Intelligence and Neuroscience 2022 (August 4, 2022): 1–12. http://dx.doi.org/10.1155/2022/1418022.

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Since its birth, red wine has been loved by people of all walks of life. The taste of red wine has changed and the pursuit of quality has always been the most sought-after goal by sommeliers, winemakers, and the public. However, due to the rich taste of red wine, any link is willing to produce different flavors. At present, there is no quantitative control study on the flavor of red wine. The purpose of this paper is to analyze the flavor of red wine through the chemometric algorithm and establish a reasonable model to predict the flavor of red wine. Aiming at the research of red wine flavor,

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