Miracle-dz/UniFAR-FTUs huggingface dataset:
Size-Controlled Hydroxyapatite Nanoparticles as Self-Organized Organic-Inorganic Composite Materials

Sodium salt carboxymethyl cellulose (CMC) was used to prepare HAp-CMC composites through co-precipitation process. HAp nanorods with well controlled particle size were welll aligned along the c axis in the final composites. TEM, XRD, FTIR analysis were used to characterized the samples. It was found that the carboxyl groups in cellulose might be the main guiding site for the precipitation and growth of HAp and the formation of the resulting composites.
A Grouping Aggregation Algorithm Based on the Dimension Hierarchical Encoding in Data Warehouse

The OLAP (on-line analytical processing) queries are ad hoc, complex aggregation queries on massive data set. How to effectively aggregate the query data becomes the key issue for OLAP query evaluation. To solve this problem, a novel grouping aggregation algorithm, DHEGA(grouping aggregation based on the dimension hierarchical encoding), is proposed in this paper. It utilizes the fairly short DHE(dimension hierarchical encoding) and its hierarchical prefix path, retrieves the matching dimension hierarchical encoding and evaluates the set of query ranges for each dimension rapidly. As a result, our algorithm significantly reduces the disk I/Os and improves the efficiency of OLAP queries. The analytical and experimental results demonstrate that DHEGA algorithm is highly efficient and outperforms all the previous approaches.
Story Generators: Models and Approaches for the Generation of Literary Artefacts

T his session is concerned with the automated creation of fiction or "literary artefacts" that might take the form of prose, poetry or drama. Special focus is placed upon those approaches that include the generation of narrative structures and therefore use some kind of story model. First attempts in automated story generation date back to the 1970s, with the implementation of Meehan's TALE-SPIN (1977) based on the achievement of character plans and Klein's automatic novel writer (1973/1979) that simulates the effects of generated events in the narrative universe. Currently, story generators enjoy a phase of revival, both as stand-alone systems or embedded components. Most of them make reference to an explicit model of narrative, but the approaches used are diverse: they range from story grammars in the generative vein to the conceptually inspired engagement-reflection cycle. Real-life applications include the generation of a set of plot plans for screen writers in a commercial entertainment environment, who could use the automatically created story pool as a source of inspiration, and the generation of new kinds of interactive dramas (video games).
Distributed Finite-Time Average Consensus in Digraphs in the Presence of Time Delays

Most algorithms for distributed averaging only guarantee asymptotic convergence. This paper introduces a distributed protocol that allows nodes to find the exact average of the initial values in a finite and minimum number of steps on interconnection topologies described by strongly connected directed graphs (digraphs). More specifically, under the assumption that each component has knowledge of the number of its outgoing links (i.e., the number of components to which it sends information), we show that the average value can be computed based on local observations over a finite time interval. The average can be obtained in a finite number of steps even when the information exchange is subject to delays. The proposed algorithm is the first in the literature that allows for distributed computation of the exact average in digraphs in finite time, with and without delays.
Impaired Bone Formation in Pdia3 Deficient Mice

1α,25-dihydroxyvitamin D3 [1α,25(OH)2D3] is crucial for normal skeletal development and bone homeostasis. Protein disulfide isomerase family A, member 3 (PDIA3) mediates 1α,25(OH)2D3 initiated-rapid membrane signaling in several cell types. To understand its role in regulating skeletal development, we generated Pdia3-deficient mice and examined the physiologic consequence of Pdia3-disruption in embryos and Pdia3 +/− heterozygotes at different ages. No mice homozygous for the Pdia3-deletion were found at birth nor were there embryos after E12.5, indicating that targeted disruption of the Pdia3 gene resulted in early embryonic lethality. Pdia3-deficiency also resulted in skeletal manifestations as revealed by µCT analysis of the tibias. In comparison to wild type mice, Pdia3 heterozygous mice displayed expanded growth plates associated with decreased tether formation. Histomorphometry also showed that the hypertrophic zone in Pdia3 +/− mice was more cellular than seen in wild type growth plates. Metaphyseal trabecular bone in Pdia3 +/− mice exhibited an age-dependent phenotype with lower BV/TV and trabecular numbers, which was most pronounced at 15 weeks of age. Bone marrow cells from Pdia3 +/− mice exhibited impaired osteoblastic differentiation, based on reduced expression of osteoblast markers and mineral deposition compared to cells from wild type animals. Collectively, our findings provide in vivo evidence that PDIA3 is essential for normal skeletal development. The fact that the Pdia3 +/− heterozygous mice share a similar growth plate and bone phenotype to nVdr knockout mice, suggests that PDIA3-mediated rapid membrane signaling might be an alternative mechanism responsible for 1α,25(OH)2D3’s actions in regulating skeletal development.
Ieee Projects 100% Working Code + Documentation+ Explaination – Best Price Incremental Affinity Propagation Clustering Based on Message Passing

Affinity Propagation (AP) clustering has been successfully used in a lot of clustering problems. However, most of the applications deal with static data. The affinity propagation based clustering algorithm is then individually applied to each object Specific cluster. Using t his clustering method. we obtain object specific Exemplars together with a high precision for the data associated with each exemplar. We perform recognition using a majority voting strategy that is weighted by nearest neighbor similarity. This paper considers how to apply AP in incremental clustering problems. Firstly, we point out the difficulties in Incremental Affinity Propagation (IAP) clustering, and then propose two strategies to solve them. Correspondingly, two IAP clustering algorithms are proposed. They are IAP clustering based on K-Medoids (IAPKM) and IAP clustering based on Nearest Neighbor Assignment (IAPNA). Five popular labeled data sets, real world time series and a video are used to test the performance of IAPKM and IAPNA. Traditional AP clustering is also implemented to provide benchmark performance. Experimental results show that IAPKM and IAPNA can achieve comparable clustering performance with traditional AP clustering on all the data sets.
Cryo-Scanning Electron Microscopy of Microorganisms in a Liquid Film on Spoiled Chicken Skin

Cryo~scanning electron microscopy was used to examine bacteria which had grown in a liquid film on the skin surface of poultry carcasses. Pits or void zones surrounding bacteria on ethanol-dehydrated, critical point dried (CPO) samp 1 es were not found on washed or untreated specimens frozen prior to examination by scanning e 1 ectron microscopy ( SEM). However, pits equivalent to those produced during chemical fixation and dehydration were formed when skin tissue was treated with ethanol prior to freezing . We conclude that the pits are dehydration artifacts caused by the chemical preparative methods emp 1 oyed rather than the result of degradation of film protei ns by extracellular enzymes of microbial origin . Initial paper received November 3
Formulating the real cost of DSM-inherent dependent parameters in HPC clusters

The choice of an appropriate interprocess communication (IPC) mechanism is critical to the performance of distributed systems and parallel programs. There is however a trade-off between the accrued system performance and the imposed cost of the deployed IPC mechanism. Message passing (MP) and distributed shared memory (DSM) mechanisms have been extensively studied and compared, but the state of the art work on formulating the cost of DSM is not comprehensive. In this paper we distinguish between DSM-inherent and application-specific parameters that contribute most to the real cost of DSM, and focus on DSM-inherent parameters in high performance computing (HPC) clusters. The weights of each parameter's effectiveness on the cost, as well as the weights of their influence on each other are determined. The derived formula for the real cost of DSM is then calibrated by a clustering coefficient that varies with different sizes of clusters. We have used the principles of management and accounting sciences in calculating the real cost of DSM.
Quantitative t2 values predict time from symptom onset in acute stroke patients.

BACKGROUND AND PURPOSE We hypothesize that in comparison to diffusion-weighted imaging, quantitative T2 values (qT2) are more directly related to water uptake in ischemic tissue, depending on time from symptom onset. We measured the increase of qT2 in the infarct core to quantify the correlation between time from symptom onset and change in qT2. METHODS Thirty-six patients with acute ischemic stroke in the territory of the proximal middle cerebral artery underwent MRI including diffusion-weighted imaging, fluid-attenuated inversion recovery, and a triple-echo T2 sequence (calculation of T2 maps) within 6 hours after symptom onset. Regions of decreased apparent diffusion coefficient <550 x 10(-9) mm(2)/sec were defined and superimposed onto the corresponding T2 map and the unaffected side in the horizontally flipped maps. Differences of T2/apparent diffusion coefficient values between affected and unaffected side were calculated (differences of T2/differences of apparent diffusion coefficient). Fluid-attenuated inversion recovery images were rated for lesion visibility. RESULTS Differences of T2 showed a significant correlation with time from symptom onset (R=0.580; P<0.001). T2 values measured in patients with visible fluid-attenuated inversion recovery lesions were significantly higher than in those without visible hyperintensity (P<0.001). The accuracy of qT2 to predict a time from symptom onset <3 hours was 0.794, whereas the corresponding accuracy for visual assessment of fluid-attenuated inversion recovery images was 0.676. CONCLUSIONS T2 values demonstrated a strong correlation with time from onset, suggesting different pathophysiologic mechanisms than diffusion restriction. Whereas fluid-attenuated inversion recovery only provides binary information on lesion visibility, T2 values correlate well with time from symptom onset, and are free from operator bias, increasing reproducibility to determine time from symptom onset.
Graph structure in the web: aggregated by pay-level domain

Previous research on the overall graph structure of the World Wide Web mostly focused on the page level, meaning that the graph that directly results from hyperlinks between individual web pages was analyzed. This paper aims to provide additional insights about the macroscopic structure of the World Web Web by analyzing an aggregated version of a recent web graph. The graph covers over 3.5 billion web pages and 128 billion hyperlinks between pages. It was crawled in the first half of 2012. We aggregate this graph by pay-level domain (PLD), meaning that all pages that belong to the same pay-level domain are represented by a single node and that an arc exists between two nodes if there is at least one hyperlink between pages of the corresponding pay-level domains. The resulting PLD graph covers 43 million PLDs and contains 623 million arcs between PLDs. Analyzing this aggregated graph allows us to present findings about linkage patterns between complete websites and not only individual HTML pages. In this paper, we present basic statistics about the PLD graph, such as degree distributions, top-ranked PLDs, distances and diameter. We analyze whether the bow-tie structure introduced by Broder et al. can also be identified in our PLD graph and reveal a backbone of highly interlinked websites within the graph. We group the websites by top-level domain and report findings about the overall linkage within and between different top-level domains. In a last experiment, we use data from the Open Directory Project (DMOZ) to categorize websites by topic and report findings about linkage patterns between websites belonging to different topical categories.
Geometric Ergodicity and Hybrid Markov Chains

Various notions of geometric ergodicity for Markov chains on general state spaces exist. In this paper, we review certain relations and implications among them. We then apply these results to a collection of chains commonly used in Markov chain Monte Carlo simulation algorithms, the so-called hybrid chains. We prove that under certain conditions, a hybrid chain will "inherit" the geometric ergodicity of its constituent parts.
Formation of Bulk Glassy Fe_75–x–yCr_xMo_yC_15B_10 Alloys and Their Corrosion Behavior

Formation of bulk Fe-based glassy alloys with high corrosion resistance was succeeded in the Fe_75– x – y Cr_ x Mo_ y C_15B_10 alloy system. A large temperature interval of supercooled liquid region (Δ T x) of 40–90 K was obtained over a wide composition range for the Fe_75? x – y Cr_ x Mo_ y C_15B_10 alloys. The Fe_75– x – y Cr_ x Mo_ y C_15B_10 alloys were prepared in a bulk glassy form with diameters of 1.0–2.5 mm by copper mold casting. The bulk glassy Fe_75– x – y Cr_ x Mo_ y C_15B_10 alloys exhibited high corrosion resistance in 1 N HCl solution. The glassy alloys containing Cr were spontaneously passivated with a wide passive region before the transpassive dissolution of Cr. The passive current density decreased significantly with an increase of alloying Cr content, indicating that the addition of Cr was effective on enhancing the corrosion resistance. Excess addition of Mo for replacing Fe in the present alloys was detrimental for the corrosion resistance.
Electrical properties of natural‐fiber‐reinforced low density polyethylene composites: A comparison with carbon black and glass‐fiber‐filled low density polyethylene composites

The electrical properties of sisal fiber-low density polyethylene (LDPE) and coir fiber-LDPE composites have been studied. The dielectric constant progressively increases with increase of fiber loading and decreases with increase of frequency in the case of all composites. The dielectric constant of sisal-LDPE composites has been studied as a function of fiber length. Volume resistivity values decrease with fiber content. The increase of dielectric constant with fiber loading is more predominant at low frequencies in both the sisal fiber-LDPE and coir fiber-LDPE composites. The results of the natural-fiber-filled composites were compared to those of the carbon and glass-fiber-filled LDPE composites. The dielectric constant of carbon-black-loaded LDPE composites increases with carbon content, and the increase is sharper at high carbon content. This is associated with the network formation of carbon black in LDPE matrix. © 1997 John Wiley & Sons, Inc.
Phone Segmentation for Japanese Triphthong Using Neural Networks

Context information influences the performance of Automatic Speech Recognition (ASR). Current Hidden Markov Model (HMM) based ASR systems have solved this problem by using context-sensitive tri-phone models. However, these models need a large number of speech parameters and a large volume of speech corpus. In this paper, we propose a technique to model a dynamic process of co-articulation and embed it to ASR systems. Recurrent Neural Network (RNN) is expected to realize this dynamic process. But main problem is the slowness of RNN for training the network of large size. We introduce Distinctive Phonetic Feature (DPF) based feature extraction using a two-stage system consists of a Multi-Layer Neural Network (MLN) in the first stage and another MLN in the second stage where the first MLN is expected to reduce the dynamics of acoustic feature pattern and the second MLN to suppress the fluctuation caused by DPF context. The experiments are carried out using Japanese triphthong data. The proposed DPF based feature extractor provides better segmentation performance with a reduced mixture-set of HMMs. Better context effect is achieved with less computation using MLN instead of RNN.
Quasi-optical multiplexing using leaky-wave near-field focusing techniques in substrate integrated waveguide technology

This work describes a quasi-optical multiplexing technique in substrate integrated waveguide (SIW) technology. It is based on the frequency dispersion response (spectral-spatial decomposition) of the fundamental SIW leaky mode, which emanates from the SIW and radiates inside the host dielectric substrate. Full-wave simulations in the 10GHz-20 GHz band demonstrate that the rejection between channels can be increased and the insertion losses reduced by using near-field focusing techniques.
Preparation, characterization and properties of organoclay reinforced polyurethane nanocomposite coatings

A processing scheme is used to reinforce polyurethane coatings with an organoclay Cloisite 20A in three different weight percentages (1, 3 and 5 wt%). Transmission electron microscopy of Cloisite 20A-polymer dispersions shows exfoliation, intercalation and even agglomeration of clay layers. X-ray diffraction studies also indicate expansion in gallery spacing of organoclay layers in polyurethane coatings. Light scattering experiments shows the unimodal and bimodal particle size distributions for 3 and 5 wt% Cloisite 20A dispersions. Rheological behavior of these dispersions changes from quasi-Newtonian to strongly pseudo-plastic fluid. The power law index values decrease from 0.46 (0 wt%) to 0.29 (5 wt%) indicating increased shear thinning in coating formulation due to addition of Cloisite 20A. Although gloss reduces by 33%, maximum temperature of degradation improves by 27 °C in 5 wt% Cloisite 20A-PU coatings. A loading of 5 wt% Cloisite 20A enhances the mar resistance by 22%, while the char residue of polyurethane coatings increases by 6 times. Color changes (CIEL*a*b*) in polyurethane nanocomposite coatings are insignificant below an addition of 5 wt% organoclay. Fourier transform infrared analysis shows that Cloisite 20A has good chemical compatibility with polyurethane and there is no change in basic urethane structure of the coatings.
Sexual dimorphism in a trophically polymorphic cichlid fish?

Sexual dimorphism in ecologically relevant traits is ubiquitous in animals. However, other types of intraspecific phenotypic divergence, such as trophic polymorphism, are less common. Because linkage to sex should often lead to balancing selection, understanding the association between sex and phenotypic divergence could help explain why particular species show high morphological variability. To determine if sexual dimorphism could be helping to maintain ecomorphological variation in a classic case of intraspecific trophic polymorphism, we examined the association between sex and morphological divergence in the cichlid Herichthys minckleyi. Although H. minckleyi with enlarged molariform teeth on their pharyngeal jaws have been reported to more commonly be male, we did not find an association between sex and pharyngeal morphotype. Sex was associated with divergence in body size (as measured through standard length). But, sex was not associated with any of the other trophic traits examined. However, pharyngeal morphotype did show an association with gut length, gape, and tooth number. Sexual dimorphism is not playing a central role in enhancing trophic diversity within H. minckleyi. J. Morphol. 276:1448–1454, 2015. © 2015 Wiley Periodicals, Inc.
Double cone nanostructures for ultimate anti-reflectivity of encapsulated silicon solar cells

Double cone nanostructures are proposed for the ultimate anti-reflectivity of encapsulated silicon solar cells. The proposed design consists of high aspect ratio silicon nanocones covered by a polymeric layer textured with inverted nanocone structures. Both nanocones and inverted nanocones effectively suppress Fresnel reflection at each interface by means of gradient index effect, while the inverted nanocones on the top surface provide enhanced mechanical robustness. Also, the proposed design is fabricated using methods compatible with large-scale replication, which have potential to be applied to the energy industry.
Evolutionary exploration of Boolean networks

Random Boolean networks (RBNs) are abstract models of gene regulatory networks that govern gene expression in cells. We have developed an evolutionary model to explore the dynamic states of random Boolean networks using heuristic optimization methods. The generic behavior of random Boolean networks is investigated as the evolutionary process works its way through different generations, identifying attractors that have been suggested to resemble cell types. We investigate several fitness functions to tune RBNs with respect to the number of attractors and other network parameters such as excess graph, attractor cycle length, network sensitivity and average basin entropy. We show that by imposing particular constraints on the evolutionary model we can generate ensembles of more stable networks, which are less sensitive to perturbations. Therefore, we demonstrate that an evolutionary approach can be useful for the generation of RBN ensembles, that is sets of regulatory networks that share particular properties.
Virus Detection Method based on Behavior Resource Tree

Abstract —Due to the disadvantages of signature-based computer virus detection techniques, behavior-based detection methods have developed rapidly in recent years. However, current popular behavior-based detection methods only take API call sequences as program behavior features and the difference between API calls in the detection is not taken into consideration. This paper divides virus behaviors into separate function modules by introducing DLLs into detection. APIs in different modules have different importance. DLLs and APIs are both considered program calling resources. Based on the calling relationships between DLLs and APIs, program calling resources can be pictured as a tree named program behavior resource tree. Important block structures are selected from the tree as program behavior features. Finally, a virus detection model based on behavior the resource tree is proposed and verified by experiment which provides a helpful reference to virus detection. Keywords —Computer Virus, Behavior-Based Detection, Dynamic Link Library, Behavior