Miracle-dz/UniFAR-FTUs huggingface dataset:
Resonance frequency and removal torque analysis of implants with turned and anodized surface oxides.

The present experimental study was designed to address two issues. The first was to investigate whether oxide properties of titanium implants influenced bone tissue responses after an in vivo implantation time of six weeks. If such a result was found, the second aim was to investigate which oxide properties are involved in such bone tissue responses. Screw-shaped implants with a wide range of oxide properties were prepared by electrochemical oxidation methods, where the oxide thickness varied in the range of 200 nm to 1000 nm. The surface morphology was prepared in two substantially different ways, i.e. barrier and porous oxide film structures. The micropore structure revealed pore sizes of 8 microm in diameter, with a range in opening area from 1.27 microm 2 to 2.1 microm 2. Porosity ranged from 12.7% to 24.4%. The crystal structures of the titanium oxide were amorphous, anatase and a mixture of anatase and rutile type. The chemical compositions consisted mainly of TiO2. Surface roughness ranged from 0.96 microm to 1.03 microm (Sa). Each group of test samples showed its own, defined status with respect to these various parameters. The oxide properties of turned commercially pure titanium implants were used in the control group, which was characterized by an oxide thickness of 17.4 +/- 6.2 nm, amorphous type in crystallinity, TiO2 in chemical composition, and a surface roughness of 0.83 microm (Sa). Bone tissue responses were evaluated by resonance frequency measurements and removal torque tests that were undertaken six weeks after implant insertion in rabbit tibia. Implants that had an oxide thickness of approximately 600, 800 and 1000 nm demonstrated significantly stronger bone responses in the evaluation of removal torque values than did implants that had an oxide thickness of approximately 17 and 200 nm (P < 0.05). However, there were no difference between implants with oxide thicknesses of 17 and 200 nm (P = 0.99). It was concluded that oxide properties of titanium implants, which include oxide thickness, micropore configurations and crystal structures, greatly influence the bone tissue response in the evaluation of removal torque values. However, it is not fully understood whether these oxide properties influence the bone tissue response separately or synergistically.
A model of mobile learning object design for concept comprehension using reciprocal teaching strategies and augmented reality

This paper describes an on-going research project, in which we implement Reciprocal Teaching strategy to help undergraduate engineering students on comprehending the concept of basic circuit instruments. We examined 55 students who enrolled for electronic instrumentation subject containing models designed to teach concept of D'Arsonval principle, basic component of a meter, measuring circuit resistance and circuit component arrangement. We did a preliminary analysis by carrying out a survey on students' understanding level about the subject and class observation on their learning progress. We found that students have difficulties in concept comprehension for the subject particularly in visualizing the circuit component. Therefore, we propose a mobile learning that uses Reciprocal Teaching strategy with augmented reality visualization. The development of mobile learning with augmented reality (MLAR) is provided as a learning aid tool that helps students to achieve the learning outcome for the subject.
Knee Joint Vibration Signal Analysis with Matching Pursuit Decomposition and Dynamic Weighted Classifier Fusion

Analysis of knee joint vibration (VAG) signals can provide quantitative indices for detection of knee joint pathology at an early stage. In addition to the statistical features developed in the related previous studies, we extracted two separable features, that is, the number of atoms derived from the wavelet matching pursuit decomposition and the number of significant signal turns detected with the fixed threshold in the time domain. To perform a better classification over the data set of 89 VAG signals, we applied a novel classifier fusion system based on the dynamic weighted fusion (DWF) method to ameliorate the classification performance. For comparison, a single leastsquares support vector machine (LS-SVM) and the Bagging ensemble were used for the classification task as well. The results in terms of overall accuracy in percentage and area under the receiver operating characteristic curve obtained with the DWF-based classifier fusion method reached 88.76% and 0.9515, respectively, which demonstrated the effectiveness and superiority of the DWF method with two distinct features for the VAG signal analysis.
Is Self-Reported Physical Activity Participation Associated with Lower Health Services Utilization among Older Adults? Cross-Sectional Evidence from the Canadian Community Health Survey

Purpose. To examine relationships between leisure time physical activity (LTPA) and health services utilization (H) in a nationally representative sample of community-dwelling older adults. Methods. Cross-sectional data from 56,652 Canadian Community Health Survey respondents aged ≥ 50 years (48% M; 52% F; mean age 63.5 ± 10.2 years) were stratified into three age groups and analysed using multivariate generalized linear modeling techniques. Participants were classified according to PA level based on self-reported daily energy expenditure. Nonleisure PA (NLPA) was categorized into four levels ranging from mostly sitting to mostly lifting objects. Results. Active 50–65-year-old individuals were 27% less likely to report any GP consultations (ORadj = 0.73; P < 0.001) and had 8% fewer GP consultations annually (IRRadj = 0.92; P < 0.01) than their inactive peers. Active persons aged 65–79 years were 18% less likely than inactive respondents to have been hospitalized overnight in the previous year (ORadj = 0.82, P < 0.05). Higher levels of NLPA were significantly associated with lower levels of HSU, across all age groups. Conclusion. Nonleisure PA appeared to be a stronger predictor of all types of HSU, particularly in the two oldest age groups. Considering strategies that focus on reducing time spent in sedentary activities may have a positive impact on reducing the demand for health services.
Fermentation of Green Tea with 2% Aquilariae lignum Increases the Anti-Diabetic Activity of Green Tea Aqueous Extracts in the High Fat-Fed Mouse

Anti-diabetic effects on the metabolomic differences between green tea (GT) and Aquilariae lignum-fermented green tea (fGT) were investigated in the high fat-fed mouse. To prove the differences, hypoglycemic (blood glucose, insulin and glycated hemoglobin levels, pancreas weights and histopathological-immunohistochemistrical analysis of pancreas–insulin/glucagon cells), hepato- and nephron-protective (the changes in liver and kidney weight, histopathology of liver and kidney, serum aminotransferases (AST and ALT) levels, blood urea nitrogen, and serum creatinine levels), and hypolipidemic (the changes of serum total cholesterol, triglyceride, low- and high-density lipoprotein levels with fecal TC and TG contents) effects were evaluated. In addition, liver lipid peroxidation, the glutathione contents, and catalase and superoxide dismutase activities were measured according to the hepatic glucose-regulating enzyme activities of glucokinase (GK), glucose-6-phosphatase (G6pase) and phosphoenolpyruvate carboxykinase (PEPCK) for action mechanisms. As a result, fGT showed a stronger hypoglycemic, hepato- and nephron-protective, hypolipidemic, and anti-oxidant effect than GT in high fat-fed mice. In addition, fGT-treated mice exerted more favorable inhibitory activities against GK, G6pase, PERCK activities as compared to GT-treated mice. Taken together, fGT fermented with Aquilariae lignum, 1:49 (2%; g/g) has a stronger effect compared with GT. Therefore, fGT has the potential to increase bioactivity against type 2 diabetics.
IMPROVED LINE DATA FOR THE SWAN SYSTEM 12C13C ISOTOPOLOGUE

We present new, accurate predictions for rotational line positions, excitation energies, and transition probabilities of the 12C13C isotopologue Swan d3Π–a3Π system 0–0, 0−1, 0−2, 1−0, 1−1, 1−2, 2−0, 2−1, and 2−2 vibrational bands. The line positions and energy levels were predicted through new analyses of published laboratory data for the 12C13C lines. Transition probabilities were derived from recent computations of transition dipole moments and related quantities. The 12C13C line data were combined with similar data for 12C2, reported in a companion paper, and applied to produce synthetic spectra of carbon-rich metal-poor stars that have strong C2 Swan bands. The matches between synthesized and observed spectra were used to estimate band head positions for a few of the 12C13C vibrational bands and to verify that the new computed line data match observed spectra. The much weaker C2 lines of the bright red giant Arcturus were also synthesized in the band head regions.
Predicting Subjective Workload Ratings: A Comparison and Synthesis of Operational and Theoretical Models

Output from a computer simulation of two air traffic control (ATC) scenarios was fit to workload ratings that ATC subject-matter experts provided while observing each scenario in real time. Simulation output enabled regression analyses that tested the assumptions of a variety of workload prediction models. These included both operational models that use observable situational and behavioral variables (e.g., number of aircraft and communications by type) and theoretical models that use queuing and cognitive architecture variables (e.g., activities performed, amount of busy time, and sensory and cognitive resource usage). Results suggested the models that included number of activities performed weighted by priority accounted for the highest amount of variance in subjective workload ratings.
84-2013 The European aerospace R & D collaboration network

We describe the development of the European aerospace R&D collaboration network from 1987 to 2013 with the help of the publicly available raw data of the European Framework Programmes and the German Förderkatalog. In line with the sectoral innovation system approach, we describe the evolution of the aerospace R&D network on three levels. First, based on their thematic categories, all projects are inspected and the development of technology used over time is described. Second, the composition of the aerospace R&D network concerning organization type, project composition and the special role of SMEs is analyzed. Third, the geographical distribution is shown on the technological side as well as on the actor level. A more complete view of the European funding structure is achieved by replicating the procedure on the European level to the national level, in our case Germany.
Seasonal dynamics and breeding of amphibians in pristine forests (Białowieza National Park, E Poland) in dry years

A b s t r a c t. In summer 1992 through spring 1994, amphibian abundance and breeding was studied in the pristine temperate forests, typical of central European lowlands. The years 1991, 1992, and 1993 were among the driest in the recent decades, with the spring-summer precipitation 35% lower than the long-term average. In the primeval forests of Bialowieza National Park, common frogs Rana temporaria spawned in small (on average, 0.2 ha) ponds (postglacial melt-out hollows) devoid of wood cover and characterised by water pH 5.1-6.0 (as measured in April) Breeding success of frogs, monilored qualitatively in 1993, was rather poor due to pond desiccation. The capture of amphibians on forest grids revealed that densities and seasonal dynamics differed between wet and drier deciduous forests. No amphibians were captured in the mixed coniferous forests during the study. In the wet ash-alder forests, on average. 39 amphibians ha - 1 were recorded in late April, 12 and ha 1 in summer, and 195-222 ind ha 1 in autumn (September). In those forests, 90% of captured amphibians were common frogs, 6% common toads Bufo bufo, and 4% moor frogs R. arvalis. In the drier oak-lime-hornbeam forests, amphibians appeared in May, and increased in numbers towards summer (19-24 and ha - 1 ) and autumn (45-71 ind ha + ). Of all amphibians caught in those forests, 43% were common frogs. 38% common toads, and 19% were moor frogs. A majority of amphibians captured in autumn were young of the year. By mid-October, all amphibians had left the forest for their hibernation sites. Comparison of our data collected in very dry years with other available data from Bialowieza Primeval Forest (various years between 1955 and 1998) revealed that summer indices of amphibian abundance were strongly positively correlated with rainfall in April-June of the census year and the previous year.
Differentially Expressed miRNAs after GnRH Treatment and Their Potential Roles in FSH Regulation in Porcine Anterior Pituitary Cell

Hypothalamic gonadotropin-releasing hormone (GnRH) is a major regulator of follicle-stimulating hormone (FSH) secretion in gonadotrope cell in the anterior pituitary gland. microRNAs (miRNAs) are small RNA molecules that control gene expression by imperfect binding to the 3′-untranslated region (3′-UTR) of mRNA at the post-transcriptional level. It has been proven that miRNAs play an important role in hormone response and/or regulation. However, little is known about miRNAs in the regulation of FSH secretion. In this study, primary anterior pituitary cells were treated with 100 nM GnRH. The supernatant of pituitary cell was collected for FSH determination by enzyme-linked immunosorbent assay (ELISA) at 3 hours and 6 hours post GnRH treatment respectively. Results revealed that GnRH significantly promoted FSH secretion at 3 h and 6 h post-treatment by 1.40-fold and 1.80-fold, respectively. FSHβ mRNA at 6 h post GnRH treatment significantly increased by 1.60-fold. At 6 hours, cells were collected for miRNA expression profile analysis using MiRCURY LNA Array and quantitative PCR (qPCR). Consequently, 21 up-regulated and 10 down-regulated miRNAs were identified, and qPCR verification of 10 randomly selected miRNAs showed a strong correlation with microarray results. Chromosome location analysis indicated that 8 miRNAs were mapped to chromosome 12 and 4 miRNAs to chromosome X. Target and pathway analysis showed that some miRNAs may be associated with GnRH regulation pathways. In addition, In-depth analysis indicated that 10 up-regulated and 3 down-regulated miRNAs probably target FSHβ mRNA 3′-UTR directly, including miR-361-3p, a highly conserved X-linked miRNA. Most importantly, functional experimental results showed that miR-361-3p was involved in FSH secretion regulation, and up-regulated miR-361-3p expression inhibited FSH secretion, while down-regulated miR-361-3p expression promoted FSH secretion in pig pituitary cell model. These differentially expressed miRNAs resolved in this study provide the first guide for post-transcriptional regulation of pituitary gonadotrope FSH secretion in pig, as well as in other mammals.
Formalizing Symbolic Decision Procedures for Regular Languages

We study decision procedures for the equivalence of regular languages represented as regular expressions or logical formulas. Traditional algorithms in this context dispose of this symbolic representation by translating it into finite automata, which then are minimized and checked for structural equality. We develop concise algorithms that avoid this explicit translation by working with the symbolic structures directly. Our procedures are specified and proved correct in the proof assistant Isabelle.
POROELASTIC STOCHASTIC MULTILAYERED SOIL PROFILE AMPLIFICATION

In this paper, dynamic response of a multi-layered poroelastic soil with stochastic parameters is studied through an exact stiffness matrix formulation based on Biot’s theory. Shear modulus as well as permeability and saturation degree are simulated via Monte Carlo technique. Whereas shear modulus follows a log normal distribution, porosity and saturation degree simulations are done using a beta distribution. Some poroelastic multilayered soil profile amplifications as well as a parametric study are presented in order to analyze the effect of the parameters stochasticity on the site response. The results show that the effects of shear modulus and saturation degree variations are as significant as those of the porosity in the case of inclined P1 or SV wave incidence.
SPEED CONTROL OF PERMANENT MAGNET SYNCHRONOUS MOTOR USING FEEDBACK LINEARIZATION METHOD

ABSTRACT In this paper, speed control of permanent magnet synchronous motor is studied using feedback linearization method. Regarding non-linear behavior of permanent magnet synchronous motor, utilizing feedback linearization method which is a non-linear control method would improve the performance of this motor. In fact, an appropriate controller is designed for such system using input-output feedback linearization method. In order to show the superiority of the designed controller, it is compared with a Fuzzy Self-adapting PID controller. The results of comparison show performance improvement of the system.
DEWS: A Live Visual Surveillance System for Early Drowning Detection at Pool

A real-time vision system operating at an outdoor swimming pool is presented in this paper. The system is designed to automatically recognize different swimming activities and to detect occurrence of early drowning incidents. We have named this system the Drowning Early Warning System (DEWS). One key challenge we faced in the problem is the relatively high level of noise in the steps of foreground detection and behavior recognition. Therefore, a set of methods in the fields of background subtraction, denoising, data fusion and blob splitting are proposed, which have been motivated by characteristics of aquatic background and crowded scenario at the pool. In the step to detect an early drowning incident, visual indicators of distress and drowning are incorporated through a set of foreground descriptors. A module comprising data fusion and hidden Markov modeling is developed to learn unique traits of different swimming behaviors, in particular, those early drowning events. The experiment of this work reports realistic on-site evaluations performed. Examples of interesting behaviors, i.e., distress, drowning, treading and numerous swimming styles, are simulated and collected. Experimental results show that we have established a prototype system which is robust and beyond the stage of proof-of-concept.
A social network model with proximity prestige property

In general, many real-world networks not only possess scale-free and high clustering coefficient properties, but also have a fast information transmission capability. However, the existing network models are unable to well present the intrinsic fast information transmission feature. The initial infected nodes and the network topology are two factors that affect the information transmission capability. By using preferential attachment to high proximity prestige nodes and triad formation, we provide a proximity prestige network model, which has scale-free property and high clustering coefficient. Simulation results further indicate that the new model also possesses tunable information transmission capability archived by adjusting its parameters. Moreover, comparing with the BA scale-free network, the proximity prestige network PPNet05 achieves a higher transmission capability when messages travel based on SIR and SIS models. Our conclusions are directed to possible applications in rumor or information spreading mechanisms.
Production dynamics of Withaferin A in Withania somnifera (L.) Dunal complex

Withaferin A (WA) is an important withanolide holding promise in cancer treatment and as a relatively safe radiosensitive/chemotherapeutic agent, which is present in traces in all parts of Withania somnifera except the leaves, where as it is reported to be present in only two non-Indian chemotypes (South African chemotype/Israel chemotype 1). The present studies have marked its presence in all Indian populations (wild/cultivated), as well as two identified Indian chemotypes (AGB002 and AGB025). The quantitative dynamics of WA production in Indian populations and interchemotypic hybrids developed at our institute have been studied, and the results were compared with five previously reported chemotypes from Israel, South Africa and India. An analysis on inheritance characteristics based on presence/absence of WA in hybrid plants and their respective parents is given for future studies on the chemogenetics of this complex species in greater detail. Further, the production potential of WA in vitro propagated plants of elite varieties developed at our institute is discussed, in view of maintaining chemotypic fidelity and stability from a production point of view. Also, evidence-based clues suggesting the leaves as the site of the synthesis of WA is provided.
Robust Relay Precoding Design for Two Way Relay Systems with Delayed and Limited Feedback

This letter addresses the robust linear precoding design at the relay node in two way relay systems with independent source-relay and relay-source channels. An antenna configuration in which both the two source nodes S1 and S2 and the relay node R are equipped with multiple antennas, is assumed. Due to delayed and finite-rate feedback, only outdated and quantized channel direction information (CDI) of the downlink channel is available at the transmitter of the relay during the broadcast (BC) phase. To tackle the performance degradation caused by the joint effects of channel quantization error and feedback delay, we propose a robust precoding scheme based on minimizing the expected weighted sum mean squared error (WS-MSE) conditioned on the induced channel uncertainties subject to relay power constraints. We also find that CDI-only feedback is sufficient for calculating the robust precoding matrix. Numerical results validate the robustness of the proposed scheme.
Coloured Petrinet for flexible business workflow modelling

Petrinet diagrams are a recognized form of modelling real time systems and have been included in the list of UML techniques for modelling the dynamic aspects of object oriented systems. In this paper, we explain how workflow techniques can be used for developing models for larger independent systems. These chunks or independent systems which are part of the large systems are expressed through the use of worklets. This can then be used as the basis of modelling systems where timeliness is of importance. However, this requires extending workflow ideas to incorporate flexibility, handling of exceptions and adaptability. Extensions of the Petrinet diagrams are then proposed for expressing the models obtained from such workflow techniques.