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Study aim: To study Gamma-enhancing neurofeedback learning process and evaluate its efficacy on visual feature binding and fluid intelligence Sample size: 18 healthy female students (mean age: 24.24 ± 1.94 years) Dataset: ----------- 1- Demographics: 18 subjects, Age, BMI, Weight, Height, Handedness, GPA 2- IQ measure: 18 subjects, Pretest and posttest sessions 3- Visual feature binding measure: 18 subjects, Pretest and posttest sessions, Response time and Error rate 4- 4 activity baseline EEG: 18 subjects, Pretest and posttest sessions, Tasks: Eyes open, Eyes closed, Auditory sensory attentiveness, Cognitive effort 5- Neurofeedback training EEG: 8 subjects, 8 training sessions, Eyes closed baseline EEG recorded before and after training in each session, EEG recorded during training in each session
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Distinguishing between bull Y- and X-bearing sperm populations is advantageous for techniques with sexed bull semen. The aim of this study was to produce a single-chain fragment variable (scFv) antibody against plasma membrane epitopes on bull Y-bearing sperm to distinguish between Y- and X- sperm. Variable heavy (VH) and variable light (VL) region genes generated from a hybridoma cell secreting a specific Y-bearing sperm monoclonal antibody (mAb-1F9) were cloned and expressed. The expected sizes of the DNA bands were ~350 bp for the VH gene and ~318 bp for the VL gene. The VH and VL genes were generated and used to construct an scFv gene (~650 bp) and express the corresponding soluble scFv antibody. Compared with the parent mAb-1F9, the scFv antibodies presented a high affinity for Y-bearing sperm and low cross-reactivity with X-bearing sperm. An immunofluorescence analysis confirmed that the scFv antibodies and mAb-1F9 recognize epitopes on the Y-bearing sperm surface. The fluorescence signal was strong on the plasma membrane of Y-bearing sperm but very weak for X-bearing sperm. This study helps the application and production of engineered scFv antibodies specific to Y-bearing sperm to distinguish between Y- and X-bearing sperm populations for techniques involving sexed bull semen
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Hardware design for build a Step Width System Capture
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Raw test data from SEAI funded ACCORD project. Results are from helical foil fatigue testing under radial load at ultimate limit state for ORPC's RivGen Power System. Load was applied at two locations along foil span to test turbine foil strength as well as composite clamp joint strength. The data highlights that the joint design is capable of handling the load applied where strain increase with cycles of load converged over time.
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Ab initio calculation files (Gaussian output files, video files, python code files). If any of these data is helpful, please cite the original paper: https://doi.org/10.1002/rcm.8790
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MicroCT stack of slice images of Tanaid crab that lives in small shell. Data set slice resolution (isotropic voxel size 2.028815 micrometers). MicroCT scanned at Stellenbosch CT facility using Nanotom S system, VGSTUDIO MAX 3.2 used for processing the data (de-noising).
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This article is investigating features of the microflora formation in newborns depending on the mother microbiological profile and locality altitude. Studying the problem of physiological and social adaptation of a person in extreme conditions of mountains and ensuring vital functions, in particular of microflora in unusual conditions is relevant and of significant priority. As it is known, the species composition of human microflora is constantly changing, and its stability is relative. This work is aimed to study the quantitative features and types of microbial colonization in newborns, depending on the microbiological profile of the mother in mountain conditions.
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The dataset is related to linear rock cutting experiments on concrete samples that consisted of different concrete mixtures. It is a supplement to scoping study using a procedural evaluation routine to analyse cutting Force Component Ratios (FCR) that could be used for the identification of changing mechanical rock properties during mechanical excavation. It focuses on the use of FCR in conjunction with point attack picks. The cutting depth and the spacing-to-depth ratio were varied at three levels each. 6, 8 and 12 mm for cutting depth (Coded as DZ in Dataset), the spacing ration at levels of 2, 3 and 4. In the dataset, the resulting spacing is stored as DY. Two artificial rock samples were tested. The samples were composed of two respective three different zones of concrete. The first block’s zones had a nominal cubic Uniaxial Compressive Strength (UCS) of 85 MPa (Zone 3) and 45 MPa (Zone 2). The zones of the second block were 85 (Zone 3), 45 (Zone 2) and 25 MPa (Zone 1). For each combination of cutting parameters, a whole layer of a specimen was cut in such a way that each cut groove crossed the different zones. In total, 414 single cuts were conducted to achieve reliable results. A procedural evaluation process was developed to assess the potential of Force Compononent Ratios for material differenciation based on statistical descriptors. The descriptors used where: arithmetic mean, geometric mean, median, interquartile range, 0.95-quantile, variance coefficient. A classification algorithm implemented in R was utilized to classify all combinations of statistical descriptors and Force Component Ratio. In total 72, combinations of Force Component Ratio and statistical descriptor were classified, 9 combinations were classified as suitable, 10 as partially suitable and the rest as unsuitable. The results imply that an FCR material differenciation based an raw cutting force measurements could be a tool for material diferenciation during mechanical excavation
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Habenula QSM data upload test
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