Miracle-dz/UniFAR-FTUs huggingface dataset:
Horse Archetype and Its Relationship with Hero Patterns on Luster Pottery in the Seljuk

Horse with the hero archetype are the most common mythological motif. In Jung’s opinion, archetypes are collective unconscious contents which potentially exist in the human’s mind; therefore, myth is not limited to the time and space. The pattern of horse and horseman was used on pottery and in wall paintings, paintings and drawings throughout the history. This kind of pattern is observed frequently on different artworks of the Seljuk Period (Eleventh and twelfth centuries AD). During the 10th century, due to various events, the Oghuz had come into close contact with Muslim cities. Seljuk Turks had a strong interaction with the nature. They fought with their neighbors to find suitable permanent pastures; so, war and hunting were their favorite works and subjects. One of the artworks on which these patterns were frequently used was golden shades and enamel pottery in the Seljuk Period. Pottery in this period is important in terms of its qualitative and quantitative value. In this article, first we address Jung’s opinions about the hero and horse pattern as an archetype; then, by introducing some samples of golden shades pottery with the pattern of horse and horseman, we will discuss the concept which the Seljuk society had understood.
The use of microarrays in microbial ecology

The Use of Microarrays in Microbial Ecology By Gary L. Andersen, Zhili He, Todd Z. DeSantis, Eoin L. Brodie, and Jizhong Zhou Abstract Microarrays have proven to be a useful and high-throughput method to provide targeted DNA sequence information for up to many thousands of specific genetic regions in a single test. A microarray consists of multiple DNA oligonucleotide probes that, under high stringency conditions, hybridize only to specific complementary nucleic acid sequences (targets). A fluorescent signal indicates the presence and, in many cases, the abundance of genetic regions of interest. In this chapter we will look at how microarrays are used in microbial ecology, especially with the recent increase in microbial community DNA sequence data. Of particular interest to microbial ecologists, phylogenetic microarrays are used for the analysis of phylotypes in a community and functional gene arrays are used for the analysis of functional genes, and, by inference, phylotypes in environmental samples. A phylogenetic microarray that has been developed by the Andersen laboratory, the PhyloChip, will be discussed as an example of a microarray that targets the known diversity within the 16S rRNA gene to determine microbial community composition. Using multiple, confirmatory probes to increase the confidence of detection and a mismatch probe for every perfect match probe to minimize the effect of cross- hybridization by non-target regions, the PhyloChip is able to simultaneously identify any of thousands of taxa present in an environmental sample. The PhyloChip is shown to reveal greater diversity within a community than rRNA gene sequencing due to the placement of the entire gene product on the microarray compared with the analysis of up to thousands of individual molecules by traditional sequencing methods. A functional gene array that has been developed by the Zhou laboratory, the GeoChip, will be discussed as an example of a microarray that
frequencies surface stress by measuring the shifts of resonant Determining the effects of surface elasticity and

References 9.full. html#ref-list-1 http://rspa.royalsocietypublishing. org/content/469/2159/2013044 This article cites 48 articles, 2 of which can be accessed free Subject collections (44 articles) nanotechnology  (179 articles) mechanical engineering  Articles on similar topics can be found in the following collections Email alerting service here the box at the top right-hand corner of the article or click Receive free email alerts when new articles cite this article sign up in
A Compact Multi-Band MIMO Antenna with High Isolation for C and X Bands Using Defected Ground Structure

A compact multi-band multi-input multi-output (MIMO) antenna with high isolation is proposed for C and X bands applications. The antenna consists of two trapezoidal-shaped patches printed on FR-4 substrate with a thickness of 1.6 mm and compact size of 17 × 42 mm. Defected ground structure (DGS) is wisely embedded in antenna body to reduce the mutual coupling between the antenna elements. This modification suitably enhances the isolation by 30 dB in C-band extended from 6.6 GHz to 7.6 GHz and by 17 dB in X-band between 8.3 GHz to 10 GHz. Moreover, five meander line rectangular patches are properly included to further improve the mutual coupling and eliminate the antenna size increment, simultaneously. The aforementioned meander lines also improve impedance bandwidth of the antenna as well as impedance matching over the entire frequency band. Close agreement of simulated and measured results confirms the antenna outperformance. Design, simulation, and performance analysis of the proposed antenna is discussed in detail.
change and conservation of Ternstroemia lineata DC. (Ternstroemiaceae) in Mesoamerica

A bioclimatic modeling of the tree Ternstroemia lineata DC. (Ternstroemiaceae) was undertaken. The genus itself is considered as diagnostic or characteristic of the Mexican cloud forest. Ternstroemia lineata has the broadest distribution of all species in this family in Mexico and northern Central America. This species consists of two subspecies, T. lineata subsp. lineata and T. lineata subsp. chalicophila (Loes.) B.M. Barthol. Ecological niche models for both subspecies were generated using the genetic algorithm for rule-set production method. The ecological models for the years 2020, 2050, and 2080 were obtained under the effects of global climatic change considering two emission scenarios (A2a and B2a). When climatic change values were introduced, the ecological niche representation for both subspecies contracted in such a way that they became almost lost throughout their entire geographical range. In both cases, predictions for all years in both sce- narios contracted more than 90%. This species may not be able to adapt to modifications caused by climatic change to fu- ture conditions, so it is at risk of extinction in the immediate future.
Synthesis of platinum and platinum-copper branched nanoparticles for electrooxidation of methanol

Platinum and Pt alloys are among the most important heterogeneous catalysts for many organic reactions and electrochemical reactions associated with the fuel cell technologies. How to reduce Pt usage while maintaining the performance of the catalysts becomes a subject for intensive research in materials chemistry. For heterogeneous catalysis, the catalytic reactivity and selectivity are strongly correlated with different crystallographic facets exposed on the surface. The facets with high-index planes whose Miller indices with at one is larger than unity are generally more active than those with low-index planes (e.g., {100}, {111}, and {110}). Tuning the morphology of the nanoparticles to expose more high-index planes on the surface can improve the catalytic activity of the nanoparticles. As compared to isotropic nanoparticles, the branched nanostructures are the promising morphology that can improve both the activity and stability of the catalysts. In this work, a two-step polyol synthesis has been developed to synthesize the branched nanostructures of Pt at high-yield. This two-step process involves a slow reduction using ethylene glycol in the presence of oxidative etchants, following by a fast reduction using ascorbic acid. The slow reduction kinetics facilitates the formation of cubooctahedral single-crystal seeds while the fast reduction kinetics allows for the overgrowth of nanocrystals along the {111} facets in a short period of time, resulting in the branched nanostructures. By co-reducing Pt and Cu precursors, this approach has been demonstrated to synthesize the Pt-Cu dendritic nanostructures for the first time. The catalytic activity of these Pt and Pt-Cu nanostructures has been studied for MOR. It was found that Pt branched nanostructures reduced the CO-poisoning as compared to the Pt/C and the dendritic Pt-Cu nanostructures showed both enhanced resistance of CO-poisoning and improved efficiency of ethanol oxidation.
Effect of graphene oxide sheet size on the curing kinetics and thermal stability of epoxy resins

This work revealed the influences of graphene oxide (GO) sheet size on the curing kinetics and thermal stability of epoxy resins. A series of GO/epoxy nanocomposites were prepared by the incorporation of three different sized GO sheets, namely GO-1, GO-2 and GO-3, the average size of which was 10.79 μm, 1.72 μm and 0.70 μm, respectively. The morphologies of the nanocomposites were observed by field emission gun scanning electron microscope. The dispersion quality of each sized GO was comparable in the epoxy matrix. The curing kinetics was investigated by means of differential scanning calorimetry and analyzed based on kinetics model. Addition of a small amount of GO (0.1 wt%) exhibited strong catalytic effect on the curing reaction of epoxy resin. The activation energy was reduced by 18.9%, 28.8% and 14.6% with addition of GO-1, GO-2 and GO-3, respectively. GO-2 with medium size (1.72 μm) showed the most effective catalysis on the cure. The thermal stability of the cured resins was evaluated based on thermogravimetric analysis. GO/epoxy nanocomposites showed improved thermal stability in the range of 420 °C–500 °C, compared with the pure resin. A ∼ 4% more residue was obtained in each of the incorporated system. The variations of GO sheet size did not influence the enhancement effect on the thermal stability.
Tropical Cyclone Activity Downscaled from NOAA‐CIRES Reanalysis, 1908–1958

A recently developed technique for deducing tropical cyclone activity from global reanalyses and climate models is applied to a reanalysis of the global atmosphere during the period 1908–1958. This reanalysis assimilates only sea surface temperature, sea ice, and surface pressure observations, which are relatively homogeneous over the period. The downscaling technique has been shown to produce results in good agreement with observations of tropical cyclones when driven by reanalyses over the period 1980–2006, a period when global tropical cyclone frequency was robustly observed. When applied to the 1908–1958 reanalysis, the derived global frequency of tropical cyclones shows no significant trend over the period, while the frequency of events in the southern hemisphere shows a statistically significant decline and that of the northern hemisphere shows a marginally significant increase. There are statistically significant increases in frequency over the period in the North Atlantic, eastern North Pacific, and northern Indian Oceans, while frequency declines in the western North Pacific. Power dissipation estimates from best‐track data are highly correlated with the power dissipation of downscaled events in the Atlantic, though the amplitude of the variability and trends of the downscaled power dissipation are smaller than those of the best‐track estimates by about a factor of two. A recently developed genesis index applied to the reanalysis data is highly correlated with downscaled event frequency on regional spatial scales, but is largely uncorrelated at the scale of the globe and even on the scale of large tropical cyclone‐producing regions such as the western North Pacific. Finally, while it is tempting to believe that specification of sea surface temperature is sufficient for capturing most aspects of the general state of the atmosphere relevant to tropical cyclones, we show, using simple arguments, that failure to account for changing radiative properties of the atmosphere can distort the response of tropical cyclone activity to changing distributions of sea surface temperature; moreover, models appear to systematically underestimate the response of near‐tropopause temperatures to changing surface temperature, and this too can affect the response of potential intensity.
Fast neutrons available through beam-target reactions driven by TW lasers

Laser accelerated deuterons with energy ranging from 0.1 to 2 MeV were exploited as drivers of the $ 7 $Li(d,n)$ 8 $Be nuclear fusion reaction. Deuterons were emitted by CD$ 2 $ plasma produced with focused laser intensity of ~ 3x10$ 16 $ W/cm$ 2 $. Deuterons accelerated upstream the laser beam impinged on a LiF catcher target producing there D-Li neutrons with energy > 13 MeV. Time-resolved signals of scintillation detectors were analysed with respect to the arrival time of fast neutrons at five scintillation detectors positioned around the target chamber. This analysis made it possible to determine energy of both the fusing deuterons and fusion neutrons. The energy spectrum of deuterons was also determined from the time-resolved charge density of ions derived from ion collector signals. Besides the neutrons produced through the 7Li(d,n)8Be fusion reaction, neutrons produced via the $ 2 $H(d,n)$ 3 $He reactions driven by the laser - CD$ 2 $-plasma interaction were observed. The total dose of neutrons was determined employing high-sensitive bubble detectors (BD-PND). Since only a small fraction of generated fast deuterons were hitting the LiF catcher target, the maximum yield of neutrons from both the primary and secondary targets was ~ 3.5x10$ 8 $ neutrons/shot, which gives a normalized yield of about 5.8x10$ 5 $ neutrons/J. This value should still grow up when increasing the area of the catcher LiF target.
Probabilistic multimodel regional temperature change projections

Abstract Regional temperature change projections for the twenty-first century are generated using a multimodel ensemble of atmosphere–ocean general circulation models. The models are assigned coefficients jointly, using a Bayesian linear model fitted to regional observations and simulations of the climate of the twentieth century. Probability models with varying degrees of complexity are explored, and a selection is made based on Bayesian deviance statistics, coefficient properties, and a classical cross-validation measure utilizing temporally averaged data. The model selected is shown to be superior in predictive skill to a naive model consisting of the unweighted mean of the underlying atmosphere–ocean GCM (AOGCM) simulations, although the skill differential varies regionally. Temperature projections for the A2 and B1 scenarios from the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios are presented.
Development of a Concurrency Control Technique for Multiple Inheritance in Object-Oriented Databases

인공지능과 웹 데이터베이스와 같은 분야에서는 기존의 관계 데이터 모형보다 더 고급 모델링 기능을 필요로 한다. 이러한 분야에서 객체지향데이터베이스는 객체를 모아 클래스를 제공하고 또한 클래스 사이에서 상위클래스는 하위 클래스에게 물려주는 계층 구조를 제공하기 때문에 더 좋은 데이터 모형이 될 수 있다. 본 논문의 목적은 객체지향데이터베이스에서 다중 계승을 위한 동시성 제어 기법을 개발하는 것이다. 본 논문에서 제안하는 MIIL(Multiple Inheritance Implicit Locking) 기법은 기존의 Implicit 로킹(Locking) 기법에 기반을 두었다. MIIL 기법은 기존의Implicit 로킹에서 불필요한 로킹을 제거하였다. 또한 본 논문에서 제안하는 MIIL 기법에서의 Intention 로킹은 기존의 Implicit 로킹기법과 동일하게 작동한다. 본 논문에서 제안한 MIIL 기법은 기존의 Implicit 로킹 기법보다 로킹 오버헤드가 적음을 증명하였다. 또한, 본 논문에서는 단일 계승과 다중 계승 등 계승구조만을 이용함으로써 로킹 오버헤드를 줄이기 위한 추가적인 비용을 필요로 하지 않는다.
Knowledge management through technology strategy: implications for competitiveness

Purpose – The purpose of this paper is to conceptualize a learning‐based technology strategy along three dimensions: proactive technology posture, process adaptation and experimentation, and collaborative technology sourcing; also to investigate their relationships with plant competitiveness (cost, quality, delivery, flexibility, and innovation). Design/methodology/approach – Hypothesized relationships are tested from three perspectives – direct effects perspective, co‐alignment perspective, and mediation perspective – using structural equation modeling with an international dataset.Findings – Results show that although the three dimensions of learning‐based technology strategy are not individually related to plant competitiveness (direct effects perspective), their co‐alignment strongly impacts plant competitiveness (co‐alignment perspective). Furthermore, this co‐alignment creates an environment in which employee suggestion and feedback can help make sense of novel situations, leading to superior plant c.
Accurate estimators of correlation functions in Fourier space

Efficient estimators of Fourier-space statistics for large number of objects rely on Fast Fourier Transforms (FFTs), which are affected by aliasing from unresolved small scale modes due to the finite FFT grid. Aliasing takes the form of a sum over images, each of them corresponding to the Fourier content displaced by increasing multiples of the sampling frequency of the grid. These spurious contributions limit the accuracy in the estimation of Fourier-space statistics, and are typically ameliorated by simultaneously increasing grid size and discarding high-frequency modes. This results in inefficient estimates for e.g. the power spectrum when desired systematic biases are well under per-cent level. We show that using interlaced grids removes odd images, which include the dominant contribution to aliasing. In addition, we discuss the choice of interpolation kernel used to define density perturbations on the FFT grid and demonstrate that using higher-order interpolation kernels than the standard Cloud in Cell algorithm results in significant reduction of the remaining images. We show that combining fourth-order interpolation with interlacing gives very accurate Fourier amplitudes and phases of density perturbations. This results in power spectrum and bispectrum estimates that have systematic biases below 0.01% all the way to the Nyquist frequency of the grid, thus maximizing the use of unbiased Fourier coefficients for a given grid size and greatly reducing systematics for applications to large cosmological datasets.
The Indonesian Junior High School Students’ Strategies in Learning Writing Skill

This current study focuses its investigation on the skill-based language learning strategies by junior high school students in Indonesia. The purposes of this study are (1) to measure the intensity of use of learning strategy in learning writing skill, (2) to examine the correlation among the strategy categories of learning writing skill, and (3) to compare the use of learning strategies of learning writing by successful and less successful learners. The data were obtained from 257 students from two schools in Malang by administering a questionnaire from O’Malley and Chamot (1990). The strategies are classified into cognitive, metacognitive, and social/affective strategies. The result of the statistical analysis shows that the overall use of strategies of learning writing skill by Indonesian junior high school students is at moderate level (2.65) with cognitive strategies reported at the highest use (2.80). It is also revealed a strong correlation among the three learning strategies – cognitive, metacognitive, and social/affective with cognitive and metacognitive at the strongest correlation (.60<r<.80). In addition, this study does not find a sufficient proof that successful and less successful learners are significantly different in using the learning strategies in learning writing skill. The findings of this research then imply the need to engage the students with strategies to learn writing skill in order that they can maximize the strategy use. This can be done by incorporating strategies-based instruction in the classroom.
Antioxidant Activity, Total Phenolic Content and Total Flavonoid Content of Water and Methanol Extracts of Phyllanthus species from Malaysia

Aims: The effects of 2 types of solvents, water and methanol were investigated to determine the presence of antioxidant activity, total phenolic content (TPC) and total flavonoid content (TFC) from three Phyllanthus species namely, Phyllanthus urinaria, Phyllanthus niruri andPhyllanthus debilis. Material and Methods: The antioxidant activities were measured using 2,2-diphenyl-1-picrylhydrazyl (DPPH) and 2,2’-azino-bis(3-ethylbenzothiazoline-6-sulphonic acid) (ABTS) assays. The chemical contents of the Phyllanthus sp. were presented as total phenolic content (TPC) and total flavonoid content (TFC). Statistical analysis: All statistical analysis was conducted using SPSS for Windows, Version 22. All data were presented as mean ± standard deviation. Results: Our result showed that P. urinaria showed higher TPC, followed by P. debilis and P. niruri for both methanol and water extracts. Similarly, P. urinaria showed higher TFC than P. debilis and P. niruri. The antioxidant activity by using 2,2-diphenyl1-picrylhydrazyl (DPPH) assay showed EC50 of samples ranged from 15.8 to 29.3 μg/mL for methanol extract and 33.5 to 73.0 μg/mL for water extract. The 2,2’-azino-bis(3-ethylbenzothiazoline-6-sulphonic acid) (ABTS) assay showed EC50 ranged from 11.2 to 26.0 μg/mL for methanol extract and 13.5 to 37.4 μg/mL for water extract. Conclusion: Methanol extract showed higher TPC, TFC value and lower EC50 values for antioxidant activities when compared to water extract. In both methanol and water extracts, P. urinaria had higher TPC and TFC value and lower EC50 for both DPPH and ABTS assay followed by P. debilis and P. niruri.
Consumers' Willingness to Pay a Price for Organic Beef Meat

The goal of this paper is to estimate the maximum price consumers are willing to pay (MPWTP) for organic beef meat. To this purpose, a theoretical and econometric approach is presented, based on the RUM model and on a Contingent Valuation technique. The results show that consumers’ MPWTP is quite high, thus suggesting that organic beef meat might gain an appreciable market share. This is also an encouraging signal for prospective producers of organic meat, who might compensate the likely increase in production costs with a substantial premium for the new good.
The Best Doggone App Since Instagram: Experiences with the iOS SDK

4 Introduction . 4 Background and Related Work . 6 Program Requirements . 7 Implementation . 8 Results, Evaluation, and Reflection . 11 Conclusions and Future Work . 12 References . 14