Miracle-dz/UniFAR-FTUs huggingface dataset:
The Analysis and Research of Multi-Sport Cooperative Learning based on Association Rule Mining and Mathematical Statistics Analysis

Based on education, cognitive psychology and constructivism learning theory, this paper put forward multiple cooperative motion recognition strategy, and established the multi-sport cooperative learning model, namely, the cooperation from teachers to group experts, and then to multimedia, finally to learners. In order to verify the validity, we designed and implemented the questionnaire and teaching experiment, taking students from Inner Mongolia University of Science and Technology as the research object, and analyzed the experimental data by means of association rule mining technique and mathematical statistical analysis. Analysis results show that multiple collaborative learning methods can effectively enhance students learning interests of physical study and improve their physical skills, helping to cultivate the ability of cooperative learning among students. The association rules mining results show that teaching strategy has a very high correlation with the method, and using group cooperation synchronization classroom teaching can achieve the best teaching effect.
The Calculation of Motion Angles of Human Body by Inertial Sensors and Their Application in Clinical Tests

Introduction: Low back pain, knee disorders and rheumatoid arthritis are the most common musculoskeletal diseases in Iran and throughout the world. The studies conducted in the developed countries have shown that this disease has considerable effect on the functional abilities and quality of life of patients. There are a few studies about this issue in Iran. Therefore, this study aims to evaluate the effect of knee and low back pain on the functional disability and quality of life of patients resident in Tehran. Materials and Methods: 220 musculoskeletal disorders (knee and low back pain and rheumatoid arthritis) from one hospital in Tehran, Iran participated in the study. Persian versions of Arthritis Impact Measurement Scale 2-short form (AIMS2-SF) and Short form health survey (SF-12) were used to measure the functional disability and quality of life. AIMS2-SF questionnaire that has been designed exclusively for rheumatoid arthritis patients measures the functional disability of patients in five dimensions: physical (upper and lower limbs), symptoms, feelings and social condition. Results: mean age and education of patients in this study was 53(low back pain), 45 (knee pain), and 58 (RA) years old, respectively. 59% of subjects were women. Mean of physical dimensions, upper limbs, lower limbs, symptoms, feelings, and social conditions were 1.46, 1.32, 2.12, 3.65, 3.40, and 3.78 (of 10), respectively. The mean of eight dimensions of quality of life based on the SF-12 questionnaire was 43 to 64 (of 100) . Conclusion : The results of this study showed that the quality of life and functional abilities of musculoskeletal disorders are influenced significantly by diseases. Based on this, the increasing of physical activity and the intensive physiotherapy programs result in improvement of quality of life in these diseases.
Focus-based Interactive Visualization for Structured Data

Information visualization, a field that studies visual representations of abstract data where no spatial representation is available, has been playing an essential role in assisting people to understand the vast amount of information created by modern technology. Visualizing large complex structured data is an important area as the structured data are ubiquitous in many aspects of our lives. The large size, high complexity, and vast variety in user interests pose formidable challenges to create effective representations for those structured data. To help users understand detailed information in the large dataset based on their changing interests, several focus-based interactive visualization methods have been described. To allow users to discover specific contextual information around the focused entities in large semantic graphs, we propose to use the embedded semantic queries during browsing as the main method for information discovery. In addition, to let users quickly understand the different aspects of the graph data, we propose to set up multiple contexts and enable users to quickly switch among the contexts without any abrupt layout changes. Moreover, to assist users in quickly identifying the focal entities when comparing two treemaps, we propose novel contrast techniques to highlight the key differences of the two treemaps in the context of a single treemap so that direct comparison can be done easily. Furthermore, to facilitate the study of the details of multiple foci in a treemap, we propose a focus+context
INTEGRITY OF NUCLEAR DNA AND PHYSIO-BIOCHEMICAL INDICATORS OF Pisum sativum L. SEEDS UNDER ACCELERATED AGING

t Currently, much attention is paid to understanding the roles of DNA and the main mech- anisms for ensuring stability of the genome in maintaining seed viability during aging. It is also shown that significant oxidative damage to DNA occurs during seed swelling, and active DNA resto- ration processes are a factor that facilitates the initiation of DNA replication and rapid germination of seeds. Our objective was to study, on the example of two pea varieties and their hybrid, the effect of accelerated seed aging on the level of DNA damage (by DNA comet method) and biochemical indicators (lipid peroxidation, peroxidase activity, content of low-molecular antioxidants) in cells of embryos during seed swelling to find a relationship between these parameters and the changes in physiological parameters of seed germination. It is shown that accelerated aging leads to changes in pea seed germination capacity which are varietal specific, as well as in the biochemical indicators studied. The least resistant to the accelerated aging was Melkosemyannyi 2 variety, and the seeds of Saryal variety were medium-resistant. The seeds of a hybrid of these varieties were the most resistant which may be due to the effect of heterosis. Seed aging causes a significant increase in DNA damage assessed as DNA per cent in the tail of the comet and/or atypical comets. The longer the seeds were under aging conditions, the higher was DNA fragmentation in cells of the embryos upon swelling. Under 24 weeks of accelerated aging, there was a 1.6-3.3 % increase in DNA found in the tail of the comet, and the number of atypical comets in the embryo cells increased 17-40-fold depending on the variety (hybrid) as compared to control. Probably, a significant reduction of seed physiological parameters was caused by higher degree of nuclear DNA fragmentation, decreased enzymatic antiox- idants activity (in particular, activity of peroxidases) and intensified oxidation in embryos. Intensification of oxidative processes is expressed as a 2.5-fold excess of lipid peroxidation in germs of a rap- idly aging variety which is accompanied by low seed germination. It is assumed that the increase in the degree of DNA damage is a consequence of the depletion of antioxidant and repair enzymes and indicates a slowdown or lack of regenerative processes in the embryos of aging
The Practical Application of C# Background Processing and Multi-Threading Technology

The background processing and multi-threading technology provides a way for Parallel work to make the foreground program and background program processed at same time to avoid application suspending.In the last version of.net platform,there are four components provided for background processing and multi-threading technology: Background Worker provides an easy way to run time-consuming operations on a background thread;Threading and Thread pool enable multithreaded programming;Timer provides a mechanism for executing a method at specified intervals.According to the practice,the application gets better efficiency and shorter time cost with multi-threading programming.
Estimating Biomass of Black Oat Using UAV-Based RGB Imaging

The spatial and temporal variability of crop parameters are fundamental in precision agriculture. Remote sensing of crop canopy can provide important indications on the growth variability and help understand the complex factors influencing crop yield. Plant biomass is considered an important parameter for crop management and yield estimation, especially for grassland and cover crops. A recent approach introduced to model crop biomass consists in the use of RGB (red, green, blue) stereo images acquired from unmanned aerial vehicles (UAV) coupled with photogrammetric softwares to predict biomass through plant height (PHT) information. In this study, we generated prediction models for fresh (FBM) and dry biomass (DBM) of black oat crop based on multi-temporal UAV RGB imaging. Flight missions were carried during the growing season to obtain crop surface models (CSMs), with an additional flight before sowing to generate a digital terrain model (DTM). During each mission, 30 plots with a size of 0.25 m² were distributed across the field to carry ground measurements of PHT and biomass. Furthermore, estimation models were established based on PHT derived from CSMs and field measurements, which were later used to build prediction maps of FBM and DBM. The study demonstrates that UAV RGB imaging can precisely estimate canopy height (R2 = 0.68–0.92, RMSE = 0.019–0.037 m) during the growing period. FBM and DBM models using PHT derived from UAV imaging yielded R2 values between 0.69 and 0.94 when analyzing each mission individually, with best results during the flowering stage (R2 = 0.92–0.94). Robust models using datasets from different growth stages were built and tested using cross-validation, resulting in R2 values of 0.52 for FBM and 0.84 for DBM. Prediction maps of FBM and DBM yield were obtained using calibrated models applied to CSMs, resulting in a feasible way to illustrate the spatial and temporal variability of biomass. Altogether the results of the study demonstrate that UAV RGB imaging can be a useful tool to predict and explore the spatial and temporal variability of black oat biomass, with potential use in precision farming.
Developing a mobile game to support students in learning color mixing in design education

Chromatics provides a theoretical basis for the production of visual effects that is crucial to design education. As one of the pillars supporting chromatics, knowledge about color mixing is thus necessary for students who plan to design products. However, students tend to be bored by traditional learning methods in this regard. To remedy this deficiency, this study designed a mobile color mixing game to assist students in learning color mixing. On a more specific basis, this game not only enables students to learn color mixing anytime and anywhere but also provides them with an effective mechanism for exploring the potentials of this technology. Using the technology acceptance model, this study developed a questionnaire concerning the subjects’ perceptions of the mobile game, according to which the effectiveness of the game was evaluated. The research findings of this study showed that most of the subjects found the game not only easy to use but also of significant help for them to learn color mixing.
Reducing Scope to Increase Scalability: Decentralization in Graph Processing and UAV Swarms

by R. Ryan McCune Many systems are designed with a central controller that is responsible for managing and coordinating all system components. Examples include the master/slave model for distributed computing, and the command and control of Unmanned Aerial Vehicles (UAVs). In such systems, the existence of the central controller presents a bottleneck that limits system scalability. For the system to expand beyond these limitations, the scope of control must be reduced, with communication increased among components. In this dissertation, I investigate improving scalability through reducing scope, demonstrated through two applications. The first application is the command and control of UAV swarms. Bandwidth limitations and increased software complexity prevent conventional centralized UAV control methods from being applied to the remote operation of many UAVs. Mission planners are investigating the application of swarm intelligence to UAV swarms, where UAVs communicate between one another and the environment to self-organize and solve problems, absent of explicit central command. For one set of projects, I explore the application of swarm intelligence to UAVs, with attention to specific behaviors and quantifiable performance. The second application is the distributed processing of large-scale graphs. Large graphs, common for Big Data, exceed the memory capacity of conventional ma-
Efficacy of Turmeric Rhizome (Curcuma longa) and Moringa Leaf (Moringa oleifera) Extract in Treatment against Fungi Associated with Maize Seeds

This research was focused on the use of different concentration of aqueous extract of Moringa leaf and Turmeric rhizome as seed treatment agents against fungi associated with maize seeds. The study was designed using 2 x 3 factorial in completely randomised design. This research was carried out in Biology Laboratory of Federal College of Forestry, Jos from April to June 2018. Untreated maize seeds were collected from farmers in three different areas of Mazah village in Jos North LG. Maize seeds were tested for the presence of fungi by culturing on Petri dish having moist filter paper. Aqueous extract of Turmeric rhizome and Moringa leaf at 25, 50, and 75 ml concentration were used as seed treatment agent against fungi. The seeds were soaked in prepared extracts for 1 hour and then cultured on petri dish having moist filter paper, control samples were soaked in sterile water. Infested seeds were counted manually after twenty days. Results were analysed using one-way analysis of variance at 95% confidence level. Penicillium sp, Fusarium solani, Aspergillus niger and Aspergillus flavus were isolated from the untreated maize seed. Fusariumsolani gave the highest percentage occurrence of 35.48. 50 ml concentration of Turmeric rhizome has an antifungal mean value of 3.67 after 20days. The control (untreated) showed the antifungal mean value of 6.67 after 20 days. The results obtained revealed significance between the treatment and the control. The results indicate Turmeric rhizome and Moringa leaf extracts could be used in seed dressing against maize infection caused by fungi.
New Aliphatic Glycerophosphoryl-Containing Polyurethanes: Synthesis, Platelet Adhesion and Elution Cytotoxicity Studies

In this study new poly(ether)urethanes (PEUs) based on aliphatic diisocyanates were synthesized with phospholipid-like residues as chain extenders. The primary objective was to prepare new polyurethanes from diisocyanates that are less toxic than the aromatic ones widely used in medical-grade polyurethanes, in order to investigate the effect of the different aromatic or aliphatic hard segment content on the final properties of the materials. Some glycerophospho residues were simultaneously introduced to enhance the hemocompatibility of these materials. Polymers were prepared by a conventional two-step solution polymerization procedure using hexamethylene diisocyanate (HDI) and dodecametilendiisocyanate (DDI) and poly(1,4-butanediol) with molecular weight 1000 to form prepolymers, which were subsequently polymerized with 1-glycerophosphorylcholine (1-GPC) or glycerophosphorylserine (GPS) to act as chain extenders. The reference polymers bearing 1,4-butandiol (BD) were also synthesized. The polymers obtained were characterized by Fourier transform infrared spectroscopy (FT-IR), nuclear magnetic resonance (1H NMR), and differential scanning calorimetry (DSC). The hemocompatibility of synthesized segmented polyurethanes was preliminarily investigated by platelet-rich plasma contact studies and related scanning electron microscopy (SEM) photographs as well as by cell viability assay after cell exposure to material elutions to assess the effect of any toxic leachables coming out from the samples. Two of the polymers gave interesting results, suggesting the desirability of further investigation into their possible use in biomedical devices.
Algorithms for phase eld computation of the dentritic operating state at large supercoolings

This paper deals with numerical solutions of the phase field model of solidification in two dimensions in the context of dendritic growth. Finite difference methods associated with vectorized algorithms are employed to solve the phase field equations. The temperature equation is solved by an alternating direction implicit scheme and the equation for the phase field by an explicit Euler scheme. We identify a region of parameter space, namely large supercoolings, where we can compute dendritic morphologies that display steady-state dendrite tip operating conditions that are independent of computational parameters.
The Mutator Phenotype: Adapting Microbial Evolution to Cancer Biology

The mutator phenotype hypothesis was postulated almost 40 years ago to reconcile the observation that while cancer cells display widespread mutational burden, acquisition of mutations in non-transformed cells is a rare event. Moreover, it also suggested that cancer evolution could be fostered by increased genome instability. Given the evolutionary conservation throughout the tree of life and the genetic tractability of model organisms, yeast and bacterial species pioneered studies to dissect the functions of genes required for genome maintenance (caretaker genes) or for cell growth control (gatekeeper genes). In this review, we first provide an overview of what we learned from model organisms about the roles of these genes and the genome instability that arises as a consequence of their dysregulation. We then discuss our current understanding of how mutator phenotypes shape the evolution of bacteria and yeast species. We end by bringing clinical evidence that lessons learned from single-cell organisms can be applied to tumor evolution.
Gaussian Process Structure Learning via Probabilistic Inverse Compilation

There is a widespread need for techniques that can learn interpretable models from data. Recent work by Duvenaud et al. (2013) and Lloyd et al. (2014) showed that it is possible to use Gaussian Processes (GPs) to discover symbolic structure in univariate time series. This abstract shows how to reimplement the approach from Duvenaud et al. (2013) using under 100 lines of probabilistic code in Venture (Mansinghka et al., 2014; Lu, 2016), improving on a previous implementation from Schaechtle et al. (2015). The key idea is to formulate structure learning as a kind of probabilistic inverse compilation, where the kernel structure is represented as source code and the resulting GP model is represented as an executable probabilistic program produced by compiling that source code. Figures 1 and 2 give an overview of the inverse compilation framework. Figure 3 shows example kernel structures, including program source, an English summary, and typical data corresponding to the given structure. Figure 4 shows the complete Venture source code for reimplementing the approach from Duvenaud et al. (2013), and Figure 5 shows an application to real-world time series data describing air travel volume.
User-centered methods for small game development studios

This thesis takes a look at how to adapt user-centered methods for user testing with small game developer studios. Reviewing earlier work reveals that little effort has been put into developing user-centered methods for these developers. Three methods based on earlier work have been used for testing games. This is done to analyze how well the methods perform. These methods have also met specific criteria. These criteria state that the methods must be usable with little preparation. They must be fast and easy to conduct. They can be used with small sample sizes. The selected methods are a heuristic evaluation, playtesting (a type of observation study), and interviews. Four games are tested with the selected methods in the study. The results from the tests show that the methods are usable for testing the selected games. It is shown that there are differences in their effectiveness depending on the complexity of the game. Two of the games produce large amounts of usable data. These two games are more complex than the other two which are more conceptual in nature. These two games still produced valuable information that helps to guide the development. A case study where Suttung Digital is interviewed some weeks after their game has been tested reveals that there is a need for these methods. The issues found during the testing of their game are substantial enough for them to need a few months to implement. The case study shows that the methods are understandable to an audience with little knowledge of usability testing and that a framework for how to conduct these tests is wanted.
Articulatory modeling: a possible role in concatenative text-to-speech synthesis

A brief introduction to articulatory modeling is presented. Methods of synthesis of speech with such models are described. Next, methods of controlling these synthesizers are considered, so as to produce continuous speech from text. Finally, the possibility of using articulatory models for concatenative text-to-speech is discussed. An important step in the realization of such synthesis is the acquisition of articulatory units. Some methods of deriving such units from natural speech are discussed.