Criteria for Psychological Evaluation of Legally Relevant Emotional States of Defendants: Methodological Recommendations by F. S. Safuanov, O. F. Savina, M. V. Morozova, I. V. Isaeva

“…An algorithm of forensic psychological evaluation of the defendant's emotional states is proposed, together with examples of sample wording of expert conclusions, and their legal meaning.…”
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Nanosized phases with titanium(IV) oxides. Preparation. Characterisation. Properties by G. M. Kuzmicheva

“…The basic method is X-ray study with specific effects on a diffraction picture. By the example of samples with anatase and η-phase structures obtained by the sulfate method the results of a complex of techniques (wide-angle and small-angle X-ray diffraction, synchrotron radiation, low temperature absorption of nitrogen, IR-spectroscopy, Raman spectroscopy) for the determination of the composition and structure of nanoparticles and their functional characteristics are shown. …”
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A Tutorial on One-Dimensional Numerical Simulation of Virtual Cathode Oscillation by Weihua Jiang

“…This article explains the detailed procedure of numerical modeling by dealing with the one-dimensional case as an example. A sample code written in the C language is attached at the end following the main text. …”
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AN INFLUENCE OF SPONTANEOUS MICROFLORA OF FERMENTED HORSEMEAT PRODUCTS ON THE FORMATION OF BIOLOGICALLY ACTIVE PEPTIDES by I. M. Chernukha, I. N. Nikonov, N. G. Mashentseva, D. L. Klabukova, D. A. Afanasev, L. I. Kovalyov, L. А. Ilina

“…Not only quantitative but also qualitative changes were observed in the studied samples. For example, in samples 1 and 2, the C-terminal fragments of the myosin heavy chain were found, which were absent in sample 3. …”
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An elaboration on sample size determination for correlations based on effect sizes and confidence interval width: a guide for researchers by Mohamad Adam Bujang

“…ObjectivesThis paper aims to serve as a useful guide for sample size determination for various correlation analyses that are based on effect sizes and confidence interval width.Materials and MethodsSample size determinations are calculated for Pearson’s correlation, Spearman’s rank correlation, and Kendall’s Tau-b correlation. Examples of sample size statements and their justification are also included.ResultsUsing the same effect sizes, there are differences between the sample size determination of the 3 statistical tests. …”
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Adaptive Feature Selection of Unbalanced Data for Skiing Teaching by Tao Feng

“…In skiing teaching, the data may show an unbalanced distribution. For example, the sample size of some common movements (such as straight downhill) may be much larger than that of some difficult movements (such as aerial spins). …”
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Short and stout as she was : relations inter-propositionnelles avec la structure « adjectif + as + sujet + be » by Bénédicte Guillaume

“…. + as” and the main clause deserves special attention, as it can be interpreted either in terms of a cause and effect relationship or of concession (paradoxical relationship); more importantly, the study of a corpus of about 240 examples (mostly sampled from the “Corpus of Contemporary American English” – COCA) confirms the intuition according to which the paradoxical interpretation of the relationship between the two clauses is overwhelmingly more frequent than the causal one (by a proportion of about ten to one in my corpus). …”
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RStoolbox: An R package for remote sensing data analysis by Konstantin Müller, Jakob Schwalb‐Willmann, Martin Wegmann, Benjamin Leutner

“…To showcase the simple usage of rstoolbox we provide multiple examples with sample data provided directly within the package.…”
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Evaluation of Commercially Available Products of <i>Cannabis sativa</i> L. Inflorescences to Identify Their Contents of Elemental and Phenolic Compounds by Katarzyna Wozniczka, Agnieszka Viapiana, Anna Roszkowska, Alina Plenis, Tomasz Baczek, Pawel Konieczynski

“…We concluded from the application of cluster analysis (CA) and principal component analysis (PCA) that several hemp samples (for example, the sample from Italy) were well-separated from the others due to their different chemical composition. …”
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PROBLEMS OF USING MOLECULAR-GENETIC METHODS FOR THE STUDY OF FISH FEEDING by E. V. Dzyuba, I. G. Kondratov, S. V. Kirilchik, I. V. Khanaev, N. N. Denikina, I. A. Nebesnykh, B. E. Bogdanov, V. A. Polynov, N. V. Kulakova

“…The aim of the study was an approbation of molecular-genetic methods for an analysis of contents of fish stomachs of Abyssocottus korotneffi Berg, 1906, as an example.Methods. Sampling carried out at the board of the research vessel «G.Yu. …”
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Backscattering of Ultrasonic Waves as the Basis of the Method of Control of Structure and Physicо-Mechanical Properties of Cast Irons by A. R. Baev, N. V. Levkovich, E. P. Babuk, M. V. Asadchaya

“…As a result of the studies, a significant difference between the amplitude parameters of the AN structural noise obtained for samples with different shapes of graphite inclusions at 5 MHz was revealed for the first time. So, for example, for samples of gray cast iron (Russian: СЧ10, СЧ15, СЧ20, СЧ25), having predominantly plate-like form of graphite inclusions, the value of AN on 14–15 dB exceeds that measured in high-strength specimens of the cast iron with the prevailing form of spherical graphite inclusions ВЧ50 (Russian), etc. …”
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IMPURITY LUMINESCENCE CENTERS IN FLUORAPATITE FROM QUARTZ-BEARING PARAGENESIS ACCORDING TO PHOTO-, CATHODE- AND SYNCHROTRON-INDUCED LUMINESCENCE by Yu. V. Shchapova, S. I. Votyakov, G. B. Mikhalevsky, V. Yu. Ivanov, V. A. Pustovarov

“…The paper presents the results of a comparative study of photo-, cathode- and synchrotron luminescence of apatite (by the example of samples from crystal-bearing deposits of the Neroi region, Subpolar Urals). …”
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Precise GNSS Positioning with Time-differenced Carrier Phases at Variable Sampling Rates by S. Guo, H. Yang, Y. Gao

“…However, variable sampling rates are required for optimal performance in different dynamic applications. For example, high sampling rates are crucial for precise tracking of high dynamic platforms such as unmanned aerial vehicle (UAV) navigation. …”
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An engineering-geological study of rock soils and the products of their fracture zones (Albazinskoe deposit, north Khabarovsk Krai) by T. G. Ryashchenko, E. A. Maslov, E. V. Bryzhak, S. I. Shtel’makh

“…The results of an engineering-geological study of rock soils and the products of their fault zones are considered on the example of samples selected in the sides of the Albazinskoe gold-bearing deposit located in the north of the Khabarovsk Krai.Aim. …”
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Carbon Stocks in Soils Based on the State Forest Inventory Data by Nataliya V. Malysheva, Tatiana A. Zolina, Andrey N. Filipchuk

“…The experimental testing has been carried out using the Republic of Karelia as an example. The sample size has been 667 permanent sample plots. …”
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Model Construction and Empirical Research on the Influencing Factors of AIGC User Dropout Behavior by Liqin YAO, Hai ZHANG

“…However, there are some limitations to this study. For example, the sample size may not be large enough to cover all types of AIGC users. …”
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Geoenvironmental use of CaCo3 sludge in subgrade soil for a greener sugar industry by Narongchai Wiwattanachang, Chanarop Vichalai, Ananda Keanbuddee, Pham Huy Giao

“…The CBR test results showed that using OPC (with a limited dose) and CaCO3 sludge (up to 30%) in the mix designs could give an optimal balance in compaction enhancement (higher CBR value, lower dry density or smaller blow number) and reduction in cost and CaCO3 emission of the mixed material. For example, the samples (SC1,2,3-10) with 10% CaCO3 sludge and 1%, 2–3% of OPC have the CBR value increased from 29 to 83, 113, and 146, respectively, or by comparing between the SC0-0 unmixed sample with SC0-10 (having 10% of CaCO3 sludge) it is observed a reduction in dry density from 2,189 to 2,109 gm/cc, while the CBR value remained the same at 29%. …”
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Virtual Integration of Satellite and In-situ Observation Networks (VISION) v1.0: In-Situ Observations Simulator (ISO_simulator) by M. R. Russo, M. R. Russo, S. L. Bartholomew, S. L. Bartholomew, D. Hassell, D. Hassell, A. M. Mason, E. Neininger, A. J. Perman, D. A. J. Sproson, D. Watson-Parris, D. Watson-Parris, N. L. Abraham, N. L. Abraham

“…This arises from differences in spatial and temporal sampling between models and observational platforms: observational data from a research aircraft, for example, are sampled on specified flight trajectories at very high temporal resolution. …”
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