Miracle-dz/UniFAR-FTUs huggingface dataset:
Frequent Subgraph Mining Based Collaboration Pattern Analysis for Wikipedia

Online knowledge collaborations, where distributed members without hierarchies self-organize themselvesto create valuable contents, are prevalent in many open production systems such as Wikipedia, GitHub andsocial networks. While many existing studies from network science have been brought to analyse the general interactivebehavioural patterns embedded in these systems, how the collaborations influence the achievement outcomes hasnot been thoroughly investigated. In this paper, we mine the collaboration patterns from a micro perspective to deeplyunderstand the relationships between the collaboration among participants and the qualities of theWikipedia articles.In particular, the subgraphs contained in the collaboration networks derived from theWikipedia revision histories aretaken as the fundamental units to analyse the collaboration diversities from the subgraph properties such as size andtopology. In contrast to the predefined static motifs adopted by the previous works, the collaboration subgraphs aredirectly found from Wikipedia dataset by a frequent subgraph mining algorithm GRAMI, which is able to capturethe real dynamic collaboration patterns. Moreover, the relationships between the co-authors in the subgraphs are alsodiscriminated to further explore the collaboration patterns. The experiments exhibit the statistical properties of thecollaboration subgraphs and the efficiency of them as the metrics for the article quality assessments. We concludethat a small group of editors with relative frequent fixed collaboration patterns contribute more to the excellent articlequality than the professional extents of arbitrary individuals in the collaboration group. This discovery confirms thecommonly insight about collaboration that many heads are always better than one and concretely suggests a potentialexplanation for the increasing prevalence and success of the online knowledge collaborations
Effect of Cooperative Learning Method on Prospective Teachers＇ Non-routine Problem-Solving Skills and Their Views About the Method

The aim of this study is to investigate the opinions of the prospective teachers about the effect of cooperative learning method on non-routine problem-solving levels and on solving problems by means of this method. For this purpose, one experimental group and one control group were randomly formed. Ninety-nine prospective teachers participated in the study. A problem-solving test consisting of non-routine problems was used as a pre-test and a post-test. Covariance analysis was conducted on the data obtained from the problem-solving test to determine whether the difference between the experimental group and the control group was statistically significant. It was concluded that the problem-solving performance of the prospective teachers in the experimental group was better than that of the prospective teachers in the control group. The collated interview findings showed that the prospective teachers mentioned positive effects of working on non-routine problems in a cooperative learning group.
Literature Review about Intention Mining in Information Systems

ABSTRACT Based on the event log, the process mining techniques allow the discovery of the real processes, the verification of conformity with the prescribed processes and the improvement them. Also, in the current literature has evidenced the development of some works of process mining to the discovery of user intentions (intention mining). The purpose of this work is to conduct a literature review about the development of intention mining in the information systems engineering area, which aims is to define the state of the art of the intention mining techniques that are have developed based on the process mining techniques. Then, is developed the literature review, it analyzes and discusses the identified resources in the review. Is estimated that these resources will be the starting point to develop an intention mining technique, which allows identifying the gap between the prescribed processes and the real processes of a business.
Antioxidant Capacity of White Tea (Camelia Sinensis) Extract: Compared to Green, Oolong and Black Tea

Tea is the most popular natural beverage ingredients in Indonesian community. It was four types for commercial tea consumption, i.e. white tea, green tea, Oolong and black tea. Nowadays public opinions that the white and green tea processed without or slightly fermentation had stronger antioxidant capacity than Oolong and black tea processed in full fermentation. The aim of the research was to compare the antioxidant capacity of the white tea (WTE), green tea (GTE), oolong tea (OTE) and black tea aqueous extract (BTE). Approximately 50 g dried tea was extracted using aquadest (1:10 (w/v), macerated in waterbath shaker (100 rpm/60±2°C/10 minutes) and filtrated using Whatman paper. The solution was concentrated with rotary vacuum evaporator till obtained a viscous liquid then it was freeze-dried for solvent removal and kept in the refrigerator for further analysis. Each extract was to determinate of total phenolic compounds, flavonoid content and DPPH radical scavenging activity. The results showed that the antioxidant capacity of extract as the total phenolic compound expressed as gram gallic acid equivalent (g-GAE/100g-extract) were BTE<WTE<GTE<OTE respectively. Meanwhile, the total flavonoid of extract expressed as gram quercetin equivalent (g-QE/100g-extract) was BTE < WTE < OTE < GTE respectively. The antioxidant capacities of extract (1000-1500 µg/ml) against the DPPH radical were BTE<GTE<OTE<WTE, respectively. There were significant differences of radical scavenging activity-DPPH among extracts in all concentrations (p<0.05). As conclusion WTE has the strongest antioxidant capacities, so it has great potential as a natural beverage and also to be applied as natural antioxidant in food system.
Synthesis and Preclinical Evaluation of the Fibrin-Binding Cyclic Peptide 18F-iCREKA: Comparison with Its Contrasted Linear Peptide

Purpose Cys-Arg-Glu-Lys-Ala (CREKA) is a pentapeptide which can target fibrin-fibronectin complexes. Our previous study has built a probe called iCREKA which was based on CREKA and has proved the feasibility and specificity of iCREKA by the fluorescence experiment. The purpose of this study is to achieve the 18F-labeled iCREKA and make preclinical evaluation of the 18F-iCREKA with comparison of its contrasted linear peptide (LP). Methods CREKA, LP, and iCREKA were labeled by the Al18F labeling method, respectively. These 18F-labeled peptides were evaluated by the radiochemistry, binding affinity, in vitro stability, in vivo stability, micro-PET imaging, and biodistribution tests. Results 18F-NOTA-iCREKA was stable both in vitro and in vivo. However, 18F-NOTA-CREKA and 18F-NOTA-LP were both unstable. The FITC or 18F-labeled iCREKA could be abundantly discovered only in matrix metalloproteinases- (MMPs-) 2/9 highly expressed U87MG cells, while the FITC or 18F-labeled LP could also be abundantly discovered in MMP-2/9 lowly expressed Caov3 cells. Biodistribution and micropositron emission tomography (PET) imaging revealed that the U87MG xenografts showed a higher uptake of 18F-NOTA-iCREKA than 18F-NOTA-LP while the Caov3 xenografts showed very low uptake of both 18F-NOTA-iCREKA and 18F-NOTA-LP. The tumor-to-muscle (T/M) ratio of 18F-NOTA-iCREKA (9.93 ± 0.42) was obviously higher than 18F-NOTA-LP (2.69 ± 0.35) in U87MG xenografts. Conclusions The novel CREKA-based probe 18F-NOTA-iCREKA could get a high uptake in U87MG cells and high T/M ratio in U87MG mice. It was more stable and specific than the 18F-NOTA-LP.
Language Sample Length Effects on Various Lexical Diversity Measures: An Analysis of Spanish Language Samples from Children

This Thesis is brought to you for free and open access. It has been accepted for inclusion in University Honors Theses by an authorized administrator of PDXScholar. For more information, please contact pdxscholar@pdx.edu. Recommended Citation Stills, Morgan, "Language Sample Length Effects on Various Lexical Diversity Measures: An Analysis of Spanish Language Samples from Children" (2016). University Honors Theses. Paper 233.
Structure-properties relations in graphene derivatives and metamaterials obtained by atomic-scale modeling

ABSTRACT Recent findings of atomic-scale modelling studies are reviewed on graphene derivatives and metamaterials fabricated through chemical functionalization and/or defect engineering of graphene sheets. Results of molecular-statics and molecular-dynamics simulations according to a reliable bond-order potential, as well as first-principles density functional theory calculations are reviewed that have established useful structure-properties relations in two-dimensional materials, such as graphene nanomeshes (GNMs), electron-irradiated graphene, and interlayer-bonded twisted bilayer graphene. Quantitative relationships are established for the elastic moduli, mechanical properties, and thermal conductivity of GNMs as a function of the nanomesh porosity and the mechanical response of GNMs to uniaxial tensile straining is explored over the range of nanomesh porosities. The dependence of structural, mechanical, and thermal transport properties of electron-irradiated graphene sheets on the density of irradiation-induced defects is reviewed, highlighting an amorphization transition accompanied by a brittle-to-ductile transition and a transition in thermal transport mechanism beyond a critical defect concentration. The tunability of the electronic band structure, mechanical properties, and structural response to mechanical loading of graphene-diamond nanocomposite superstructures consisting of nanodiamond superlattices in interlayer-bonded twisted bilayer graphene also is demonstrated by precise control of the density and distribution of covalent interlayer C–C bonds.
The Therapeutic Effects of Vitamin C on Changes of Some Biochemical Parameters in Male Albino Rats Treated with Mixture of Food Additives (Sodium Benzoate + Mono Sodium glutamate + Chlorophyllin)

Background: Food additives are substances intentionally added to food to change its characteristics, maintain and improve safety, maintain the nutrient value and to improve taste, texture, and appearance. Aim of the work: This study aimed to determine the therapeutic effects of vitamin C against the hazardous effects of sodium benzoate, chlorophyllin and monosodium glutamate on some physiological parameters in male albino rats. Materials and Methods: this study had been done on thirty male albino rats with an average body weight 120-140 g. The animals were divided into three groups. Group 1: control, Group 2: rats treated with mixture sodium benzoate, chlorophyllin and monosodium glutamate and Group 3: rats treated with food additives mixture and vitamin C. Blood samples were collected and the separated sera were used for estimation of some biochemical parameters (liver enzymes, kidney functions, glucose, protein profile and lipid profile) and hormonal levels [testosterone, triiodothyronine (T3) and thyroxine (T4)]. Results: The biochemical results showed an increase in levels of fasting glucose, insulin, HOMA-IR, activities of AST and ALT, urea, creatinine, total cholesterol (TC), triglycerides (TG), LDL-C, VLDL, ratios of TC/HDL-C and LDL-C/HDL-C (risk factors) in mixture group accomphined by a significant decrease in protein profile (total protein, albumin and globulin), HDL-and testosterone hormone levels . On the other hand, these results turned back nearly to normal values after receiving vitamin C. Conclusion: The present study revealed capability of vitamin C to fight the grievous effects of food additives mixture on major physiological parameters.
Towards a Protection Profile for User-Centric and Self-Determined Privacy Management in Biometrics

While new concepts of data analysis bring new opportunities for technological and societal evolution, they also present challenges with respect to privacy. Misconduct on personal data usage, particularly of biometric data, may lead to expose it to identity thieves or unfair practices. It is necessary to define limits to the usage of personal data, involving the user actively in the process of defining and controlling their own data as it is gathered in the EU data regulation (GDPR). It includes the right for the user to be informed about the actual use of the data, as it is called notice and choice. In recent decades, security and privacy design aspects were analysed and incorporated as building blocks for IT systems, and now some aspects are mandatory in standardisation and certification procedures. As a first step towards a Protection Profile in biometrics meeting GDPR requirements, in this paper we propose new privacy enforcement concepts and essential privacy requirements to achieve the goal of designing user-centric and self-determined privacy management in mobile biometrics. Keywords–GDPR; privacy; biometric data; sensible data; informed consent; transparency.
An effective parameter optimization with radiation balance constraint in CAM5 (version 5.3)

Abstract. Uncertain parameters in physical parameterizations of general circulation models (GCMs) greatly impact model performance. In recent years, automatic parameter optimization has been introduced for tuning model performance of GCMs, but most of the optimization methods are unconstrained optimization methods under a given performance indicator. Therefore, the calibrated model may break through essential constraints that models have to keep, such as the radiation balance at the top of the model. The radiation balance is known for its importance in the conservation of model energy. In this study, an automated and efficient parameter optimization with the radiation balance constraint is presented and applied in the Community Atmospheric Model (CAM5) in terms of a synthesized performance metric using normalized mean square error of radiation, precipitation, relative humidity, and temperature. The tuned parameters are from the parameterization schemes of convection and cloud. The radiation constraint is defined as the absolute difference of the net longwave flux at the top of the model (FLNT) and the net solar flux at the top of the model (FSNT) of less than 1 W m−2. Results show that the synthesized performance under the optimal parameters is 6.3 % better than the control run (CNTL) and the radiation imbalance is as low as 0.1 W m−2. The proposed method provides an insight for physics-guided optimization, and it can be easily applied to optimization problems with other prerequisite constraints in GCMs.
Dual-Polarized Low-Profile Filtering Patch Antenna Without Extra Circuit

This paper proposes a novel dual-polarized filtering patch antenna without an extra circuit. The proposed antenna shows a quasi-elliptic filtering response with four radiation nulls. One radiation null is achieved with a stacked patch, and three more radiation nulls are introduced by the split ring resonators (SRRs) placed inside the antenna aperture. The SRR can achieve one radiation null, and the shorted SRR (SSRR) can achieve two radiation nulls for its odd and even modes. This filtering antenna is fabricated on two stacked substrates with three metallic layers, which is suitable for integration. As demonstrations, two antennas are designed to meet the applications for the 5G band (4.8-5 GHz) for <inline-formula> <tex-math notation="LaTeX">$\text{S}11< -10$ </tex-math></inline-formula> dB with the total profile of <inline-formula> <tex-math notation="LaTeX">$0.06~\lambda _{\mathrm {L}}$ </tex-math></inline-formula>, where <inline-formula> <tex-math notation="LaTeX">$\lambda _{\mathrm {L}}$ </tex-math></inline-formula> is the free-space wavelength at the lowest operating frequency. The antenna implemented on FR4 substrate achieves an average gain of 5 dBi, while the antenna fabricated on two substrates, Rogers-4350 and FR4, can improve the realized gain to over 6 dBi. The measured isolation is better than 20 dB within the operating band. The out-of-band gain suppression level is more than 15 dB within the 3.4–3.6 GHz and more than 20 dB for WLAN band.
Effect of a Glyphosate-Containing Herbicide on Escherichia coli and Salmonella Ser. Typhimurium in an In Vitro Rumen Simulation System

Glyphosate (N-(phosphonomethyl)glycine) is the most-used herbicide worldwide. Many studies in the past have shown that residues of the herbicide can be found in many cultivated plants, including those used as livestock feed. Sensitivity to glyphosate varies with bacteria, particularly those residing in the intestine, where microbiota is exposed to glyphosate residues. Therefore, less susceptible pathogenic isolates could have a distinct advantage compared to more sensitive commensal isolates, probably leading to dysbiosis. To determine whether the ruminal growth and survival of pathogenic Escherichia coli or Salmonella serovar Typhimurium are higher when glyphosate residues are present in the feed, an in vitro fermentation trial with a “Rumen Simulation System” (RUSITEC) and a glyphosate-containing commercial formulation was performed. Colony forming units of E. coli and Salmonella ser. Typhimurium decreased steadily in all fermenters, regardless of the herbicide application. Minimum inhibitory concentrations of the studied Salmonella and E. coli strains did not change, and antibiotic susceptibility varied only slightly but independent of the glyphosate application. Overall, application of the glyphosate-containing formulation in a worst-case concentration of 10 mg/L neither increased the abundance for the tested E. coli and Salmonella strain in the in vitro fermentation system, nor promoted resistance to glyphosate or antibiotics.
An Augmented Paper Game With Socio-Cognitive Support

This paper presents an augmented reality-based Chinese character composition game (ARC) that employs augmented papers to engage lower primary school students in collaborative Chinese character learning. A design research approach was used to gain a holistic view of designing, enacting, and evaluating the ARC. The participants included four teachers and five classes of students from two primary schools. The school-based research findings suggested that: 1) the ARC was an effective system for improving beginning learners’ orthographic knowledge of Chinese characters, particularly for those students with low Chinese language proficiency; 2) the tangible paper interface engaged students in group work and increased the game playfulness; and 3) students’ language proficiency had a significant effect on their perceptions of ease of use and usefulness of the augmented paper game. This paper not only substantiated the potential of the augmented paper as a carrier of educational content, but also instantiated how to implement it to promote social and cognitive supports for interaction and collaboration.
The discriminating factors of winning and losing in elite wheelchair tennis

Technology is being used more and more to aid elite athletes in improving their performance. Recently there have been promising developments in the research using IMUs regarding wheelchair rugby and basketball. Applying this same measurement setup to wheelchair tennis could give better insight in the wheelchair mobility of wheelchair tennis athletes. This knowledge could aid the athletes in causing less sport related injuries, altering the focus of their training or even training entirely new aspects of the sport. This is why this research will be answering the research question: “What is/are the most influential factor(s) regarding the mobility of wheelchair tennis athletes to discriminate between the winning and losing player? ”. We define the wheelchair mobility performance as all the measurable parameters related to the movements of the athlete. These mainly consist of the velocities and accelerations reached by the athletes. The measurements resulted in three different ways to output variables. Match statistics, these include information about the distance travelled, turns made and points played during the match. This was chosen to give general insight into the match. The wheelchair mobility performance (WMP), shows information about the velocities and accelerations during the match. This was chosen to compare the velocities and accelerations of athletes, they are plotted against the average value of the entire database of all measurements, this will be a standardized baseline to compare the results to. Lastly the speed zone plots, the plots give an indication of how long the athlete has been driving within a certain velocity range. To give better insight in the dynamic of the match all outputs also includes the constraints of winning/losing and serving/receiving. It is therefore possible to compare the differences between won and lost points and served and received points. There was also experimented with the possibility of making a plot that shows the location of the athlete on the field as a heatmap. However, because the IMUs only record accelerations the cumulative error to distance had to be manually adjusted for, therefore this was only done for one match as a pilot case. The match statistics, WMP plots and speed zone plots showed no significant differences between winning and losing points. Therefore, this study found that the mobility performance has no deciding effect on the outcome of a tennis match. The technique used to hit the ball and place it on the right spot in the field will probably be the determining factor here. This said, the mobility does however have to be above a certain threshold for the player to compete at a certain level of play, so neglecting it completely is not recommended, however the focus should be on the technique that involves hitting the ball. The heatmap case shows that the winning player plays more aggressive, but whether he is playing aggressive because he is winning or winning because he is playing aggressive cannot be concluded by this research.
Kinetic study for the effect of new inhibitors on the activity of purified GPT from blood of cardiovascular patients

In this study several biochemical parameters for cardiovascular patients have been measured CK-MB ,LDH ,GPT and GOT in addition to lipid profile , MDA ,Vitamin C and Vitamin E . New derivatives of ascorbic acid have been synthesized and tested to inhibit the purified GPT from the blood of cardiovascular patients Glutamate pyruvate transaminase (GPT) was purified from cardiovascular patients using ammonium sulphate salt for precipitation then dialysed using 0.1 M Tris-HCL buffer pH7.8 , then filtrated by gel filtration chromatography using Sephadex G-100 , followed by electrophoresis using poly acrylamide – bis acrylamide and sodium dodecyl sulphate (SDS). Derivatives of 3-(acetyl salicyloyl)-5,6 –O-isopropylidene-L-ascorbic acid (1) 2,3-di(acetyl salicyloyl)-5,6 –O-isopropylidene-L-ascorbic acid (2) and effect of 2,3,5,6 -tetra(acetyl salicyloyl)-L-ascorbic acid (3) which have been synthesized and characterized in this study , have been used in different concentrations to inhibit the purified enzyme activity using DMSO as a solvent . Results showed that these derivatives have inhibition effect on the enzyme activity with new value of kinetic parameters been detected using Linweaver-Burk plot and the type was un-competitive inhibition for the three derivatives been used in this study. Many biochemical parameters have been detected in this study including CK-MB, LDH, GPT and GOT as known marker for the disease in addition to lipid profile parameters Alb. UA, G6PDH, Vit.C and E as antioxidants as well as malondialdehyde (MDA). Results also showed significant differences in the levels of most parameters used in this study.