Miracle-dz/UniFAR-FTUs huggingface dataset:
System for Secure Storage and Auditing of Cloud Data

: Cloud computing is compilation of existing technique and technologies, packaged within a new infrastructure paradigm that offers improved scalability, elasticity, business agility, faster startup time, reduced management costs, and just-in-time availability of resources. Cloud computing is an Internet-based computing and use of computer technology which provides access to resources as a service such as storage, network, server and processors etc. By moving data into the cloud offers great ease to users. In general, data center in cloud holds information that users have stored on their computers. The security concern arises because the outsourced data is used by the user. Cloud computing is the growing field now a days. The platform provides help to reduce the cost as well as make the effective utilization of the hardware as well as software. Data storage is the main most desirable aspect of the cloud computing, but it comes with some security challenges too. The end users store their data on cloud server are always in worry that either their data stored is secure or not? As the data stored is large enough so users can not check its integrity periodically. Sometimes cloud service providers may behave unhonestly and delete customers data Or they fail to make changes on the data which is updated by the users frequently. So to overcome these challenges the Trusted Third Party Auditor plays the vital role on behalf of customers. As they assure to customers that the data hosted on the server is secure. TPA provides more easier and affordable way for users to their storage correctness in cloud, which also helpful for the cloud service providers to improve their cloud based service platform. In other way we can say auditing scheme play a significant role in establishment of secure cloud platform in users mind and increase the cloud economy, where users accesses the risk and apply their trust in the cloud to store data more precisely.
Tailoring dispersion properties of photonic crystal waveguides by topology optimization

The paper describes a systematic method for the tailoring of dispersion properties of slab-based photonic crystal waveguides. The method is based on the topology optimization method which consists in repeated finite element frequency domain analyzes, analytical sensitivity analyzes and gradient based design updates. The goal of the optimization process is to come up with slow light, zero group velocity dispersion photonic waveguides or photonic waveguides with tailored dispersion properties for dispersion compensation purposes. Two examples concerning reproduction of a specific dispersion curve and design of a wide bandwidth, constant low group velocity waveguide demonstrate the efficiency of the method.
Grain‐scale pressure variations and chemical equilibrium in high‐grade metamorphic rocks

In the classical view of metamorphic microstructures, fast viscous relaxation (and so constant pressure) is assumed, with diffusion being the limiting factor in equilibration. This contribution is focused on the only other possible scenario – fast diffusion and slow viscous relaxation – and brings an alternative interpretation of microstructures typical of high‐grade metamorphic rocks. In contrast to the pressure vessel mechanical model applied to pressure variation associated with coesite inclusions in various host minerals, a multi‐anvil mechanical model is proposed in which strong single crystals and weak grain boundaries can maintain pressure variation at geological time‐scales in a polycrystalline material. In such a mechanical context, exsolution lamellae in feldspar are used to show that feldspar can sustain large differential stresses (>10 kbar) at geological time‐scales. Furthermore, it is argued that the existence of grain‐scale pressure gradients combined with diffusional equilibrium may explain chemical zoning preserved in reaction rims. Assuming zero net flux across the microstructure, an equilibrium thermodynamic method is introduced for inferring pressure variation corresponding to the chemical zoning. This new barometric method is applied to plagioclase rims around kyanite in felsic granulite (Bohemian Massif, Czech Republic), yielding a grain‐scale pressure variation of 8 kbar. In this approach, kinetic factors are not invoked to account for mineral composition zoning preserved in rocks metamorphosed at high grade.
DISCOVERY OF NEW CLUSTERS USING INTELLIGENT ADAPTIVE TECHNIQUES

In this new and current era of technology, advancements and techniques, efficient and effective text document classification is becoming a challenging and highly required area to capably categorize text documents into mutually exclusive categories. Fuzzy similarity provides a way to find the similarity of features among various documents. In this paper, a technical review on various fuzzy similarity based models is given. These models are discussed and compared to frame out their use and necessity. A tour of different methodologies is provided which is based upon fuzzy similarity related concerns. It shows that how text and web documents are categorized efficiently into different categories. Various experimental results of these models are also discussed. The technical comparisons among each model’s parameters are shown in the form of a 3-D chart. Such study and technical review provide a strong base of research work done on fuzzy similarity based text document categorization.
Named Entity Recognition for Agriculture Domain using Word Net

Named Entity Recognition is the fundamental step for various natural language processing applications. Substantial work has been done in general domain NER and biomedical NER. However named entity recognition task has not yet been taken in considerationfor agriculture domain, in spite of its significance in Indian economy. Many government and non-government organizations are working over the field of agriculture for several decades. Hence an enormous amount of agriculture information gets accumulated in the World Wide Web in unstructured form. To converting this unstructured data into structured form, the fundamental step is to extract the “Named Entities” from the text. Hence in this paper we have proposed an approach to develop a Named Entity Recognition System for Agriculture domain. Our goal is to extract the basic entities from the agriculture text, which helps in developing various agriculture based applications such as agriculture question answering system, agricultural text summarizer, developing relational knowledge base and many others. For developing the agricultural Named Entity Recognition System we have employed the renowned lexical database called “Word Net”. This is a noble area of research as no significant work has been done in this field. Moreover as there are no benchmark agricultural resources and dataset, we have also developed an agricultural dataset and list of agricultural lexicons which could considered as Benchmark for future work.
Biodegradable Polymer/Layered Silicate Nanocomposites: A Review

A review on the preparation, characterization, materials properties, crystallization behavior, melt rheology, and processing of biodegradable polymer/layered silicate nanocomposites, which are the most widely interest in materials science research today, is given in this article both in terms of academic and industrial aspects. Montmorillonite and hectorite are among the most commonly used smectites type layered silicates for the preparation of nanocomposites. In their pristine form they are hydrophilic in nature and this property makes them very difficult to dispersed into a polymer matrix. The most common way to remove this difficulty by replacing interlayer cations by some quaternizedammonium or phosphonium cations preferably with long alkyl chain. The whole range of biodegradable polymer matrices is covered. This new family of composite materials frequently exhibits remarkable improvements of material properties when compared with virgin polymers. Improvements can include high storage modulus both in solid and melt states, increased tensile and flexural properties, decrease in gas permeability, increased heat distortion temperature and thermal stability, and increase in rate of biodegradability. ________________________________________________________________________________________________________________________ * Corresponding author: Prof. Dr. Masami Okamoto Tel. +81 52 809 1861 Fax. +81 52 809 1864 E-mail: okamoto@toyota-ti.ac. jp (M. Okamoto)
Costs of cannibalism in the presence of an iridovirus pathogen of Spodoptera frugiperda

Abstract. 1. The costs of cannibalism were examined in larvae of Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae) in the presence of conspecifics infected by a lethal invertebrate iridescent virus (IIV). The hypothesis of a positive correlation between insect density and the likelihood of disease transmission by cannibalism was examined in laboratory microcosms and a field experiment.
DIMK-means “Distance-based Initialization Method for K-means Clustering Algorithm”

Partition-based clustering technique is one of several clustering techniques that attempt to directly decompose the dataset into a set of disjoint clusters. K- means algorithm dependence on partition-based clustering technique is popular and widely used and applied to a variety of domains. K-means clustering results are extremely sensitive to the initial centroid; this is one of the major drawbacks of k-means algorithm. Due to such sensitivity; several different initialization approaches were proposed for the K-means algorithm in the last decades. This paper proposes a selection method for initial cluster centroid in K-means clustering instead of the random selection method. Research provides a detailed performance assessment of the proposed initialization method over many datasets with different dimensions, numbers of observations, groups and clustering complexities. Ability to identify the true clusters is the performance evaluation standard in this research. The experimental results show that the proposed initialization method is more effective and converges to more accurate clustering results than those of the random initialization method.
Functional response: rigorous estimation and sensitivity to genetic variation in prey

Holling's type II functional response is a cornerstone of community ecology and coevolutionary theory. The so-called disc equation is the most widely used model of the type II response, yet thus far no robust experimental assessment has been achieved in any single system. Fundamental issues that remain to be assessed include whether the assumptions of the disc equation are fulfilled, whether the disc equation yields accurate estimates of predation-related individual traits, and whether differences in disc equation parameters can capture genetic variation in prey behaviour. This paper provides a rigorous approach to all of these questions. The functional response of the predatory mite Pergamasus crassipes on three genetically distinct clones of the springtail Folsomia candida was measured at six levels of prey density in controlled conditions where prey number and arena size were concomitantly manipulated. A crucial assumption of Holling's disc equation was fulfilled by maintaining a constant prey density for the entire experimental period of predation. The timing of each attack and capture, as well as the duration of the handling time, were recorded by constant observation. We contrasted three different methods to calculate functional response curves: (1) indirect estimation of the disc equation's parameters from the number of prey killed by the end of each experimental run; (2) direct estimation of the parameters via a unique protocol of constant observation; and (3) independently deriving a function based on direct measurements of encounter rate and attack success. The basic assumptions of the disk equation were globally fulfilled. Estimations of the functional response's parameters (type II) were remarkably congruent across approach (1) and (2). A single genetic effect was detected - the relationship between the encounter rate and prey density differed significantly between clones - whereas a direct comparison of functional response across clones failed to reveal genetic variation.
Capillary microchannel fabrication using plasma polymerized TMDS for fluidic MEMS technology

This paper reports the first use of cold plasma deposition of polymerizable monomers for the fast, cost-effective and easy fabrication of buried air microchannels. A new method named ‘plasma polymerization on sacrificial layer’ (PPSL) is presented. It consists in the direct polymerization of tetramethyldisiloxane (TMDS) on a photopatterned sacrificial layer. Channels are formed with only one lithographic mask and without any etching or bonding process. The use of polymerized TMDS allows rapid creation of capillarity-driven flow systems with the channel width ranging from 4 to 700 µm without pillars. Channels are characterized and successfully tested. Capillary forces draw water, as well as aqueous solution into the channel from the inlet reservoir to the outlet one, avoiding the need of microfluidic connectors with the surrounding environment. Filling of the capillaries is very fast. It reaches the initial velocity of 4.4 cm s−1 with the geometries and water used here. In addition, PPSL easily allows the building of transparent channel networks directly on processed electrochemical or electromagnetic components. An example of one such integrated fluidic microelectromechanical system (MEMS) is described.
Urban Democracy and the Local Trap

This paper argues against the local trap-the tendency to assume that the local scale is preferable to other scales. The local trap is an important problem in the recent explosion of research on urban democracy and citizenship. The paper highlights one strain of that literature, the work on 'the right to the city'. It is argued that the right to the city is highly susceptible to the local trap, although it is not inherently so. As we continue to search for innovative new ideas like the right to the city that can help to democratise cities, it is critical to think carefully and strategically about scale.
Energy loss mechanisms in the microdischarges in plasma display panels

Low luminous efficacy is one of the major drawbacks of plasma display panels (PDPs), where the main limiting factor is the efficiency of the microdischarges in generating UV radiation. In this work we use a two-dimensional self-consistent fluid model to analyze the energy loss mechanisms in neon–xenon discharges in coplanar-electrode color PDPs and interpret experimental data on the luminous efficacy of these PDPs. The modeling results are in good agreement with the measured UV emission spectrum and measured trends in the efficacy. Most of the electrical input energy is transferred to ions and subsequently to the gas and the surface. The electrical energy transferred to electrons is mostly used for ionization and excitation, where the part used for xenon excitation largely ends up in UV radiation. The amplitude, frequency, and rise time of the driving voltage mainly affect the energy losses due to ion heating. The xenon content also affects the conversion of electron energy into UV energy.
Solving N-Queen Problem by Prediction

The classic problems lead the researchers to innovate general solutions for similar class of problems. One of the well-known problems and its solution are the 8-Queen puzzle and back tracking. At many cases back tracking may consider as brute force, but it is not true. It is not necessary to find a solution from the point where we stand as sub-solution and proceed for final solution by tracking one of the branches optimistically, rather selecting a solution which is different completely. Backtracking is effective method to find solutions for a problem which is have more optional path to consider. But this is not computationally efficient. In this paper, I have proposed a novel method which is computationally efficient, and it is predicting the solution with more accuracy.
WP-AD 2010-28 Diseases , infection dynamics and development *

We propose an economic theory of infectious disease transmission and rational behavior. Diseases are costly due to mortality (premature death) and morbidity (lower productivity and quality of life). The theory offers three main insights. First, higher disease prevalence implies lower saving-investment propensity. Preventive behavior can partially offset this when the prevalence rate and negative disease externality are relatively low. Secondly, infectious diseases can generate a low-growth trap where income alone cannot push an economy out of underdevelopment, a result that differs from development traps in the existing literature. Since income per se does not cause health in this equilibrium, successful interventions have to be health specific. Thirdly, a more favorable disease ecology propels the economy to a higher growth path where infectious diseases are eradicated. Even so, diseases can significantly slow down convergence to this growth path. Taken together, our results suggest that the empirical relationship between health and income at the aggregate level may be more nuanced than realized.
Mammalian mesocarnivore visitation at tortoise burrows in a wind farm

Author(s): Agha, M; Smith, AL; Lovich, JE; Delaney, D; Ennen, JR; Briggs, J; Fleckenstein, LJ; Tennant, LA; Puffer, SR; Walde, A; Arundel, TR; Price, SJ; Todd, BD | Abstract: © The Wildlife Society, 2017 There is little information on predator–prey interactions in wind energy landscapes in North America, especially among terrestrial vertebrates. Here, we evaluated how proximity to roads and wind turbines affect mesocarnivore visitation with desert tortoises (Gopherus agassizii) and their burrows in a wind energy landscape. In 2013, we placed motion-sensor cameras facing the entrances of 46 active desert tortoise burrows in a 5.2-km2 wind energy facility near Palm Springs, California, USA. Cameras recorded images of 35 species of reptiles, mammals, and birds. Counts for 4 species of mesocarnivores at desert tortoise burrows increased closer to dirt roads, and decreased closer to wind turbines. Our results suggest that anthropogenic infrastructure associated with wind energy facilities could influence the general behavior of mammalian predators and their prey. Further investigation of proximate mechanisms that underlie road and wind turbine effects (i.e., ground vibrations, sound emission, and traffic volume) and on wind energy facility spatial designs (i.e., road and wind turbine configuration) could prove useful for better understanding wildlife responses to wind energy development. © 2017 The Wildlife Society.
Geodetic Observations and Global Reference Frame Contributions to Understanding Sea‐Level Rise and Variability

G. Blewitt (1), Z. Altamimi (2), J. Davis (3), R. Gross (4), C. Kuo (5), F. Lemoine (6), R.Neilan (4), H.P. Plag (1), M. Rothacher (7), C.K. Shum (5), M.G. Sideris (8), T. Schone (7), P. Tregoning (9) (rapporteur), S. Zerbini (10) (1) University of Nevada, Reno, Nevada, USA (gblewitt@unr.edu, hpplag@unr.edu) (2) Institut Geographique National, Champs-sur-Marne, France (altamimi@ensg.ign.fr) (3) Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts, USA (jdavis@cfa.harvard.edu) (4) Jet Propulsion Laboratory, Caltech, Pasadena, California, USA (Richard.Gross@jpl.nasa.gov, ruth.neilan@jpl.nasa.gov) (5) Ohio State University, USA (ckshum@osu.edu, kuo.70@osu.edu) (6) NASA Goddard Space Flight Center, Greenbelt, Maryland, USA (flemoine@nasa.gov) (7) GeoForschungsZentrum, Potsdam, Germany (rothacher@gfz-potsdam.de, tschoene@gfz-potsdam.de (8) University of Calgary, Alberta, Canada (sideris@ucalgary.ca) (9) The Australian National University, Canberra, Australia (pault@rses.anu.edu.au) (10) University of Bologna, Italy (susanna.zerbini@unibo.it)
Cavities in inner disks : the GM Aurigae case

Context. Recent modeling based on unresolved infrared observations of the spectral energy distribution (SED) of GM Aurigae suggests that the inner disk of this single TTauri star is truncated at an inner radius of 25 AU. Aims. We attempt to find evidence of this inner hole in the gas distribution, using spectroscopy with high angular resolution. Methods. Using the IRAM array, we obtained high angular resolution (~1.5”) observations with a high S/N per channel of the 13 CO $J=2{-}1$ and C 18 O $J=2{-}1$ and of the 13 CO $J=1{-}0$ lines. A standard parametric disk model is used to fit the line data in the Fourier-plane and to derive the CO disk properties. Our measurement is based on a detailed analysis of the spectroscopic profile from the CO disk rotating in Keplerian velocity. The millimeter continuum, tracing the dust, is also analyzed. Results. We detect an inner cavity of radius 19 ± 4 AU at the 4.5 σ level. The hole manifests itself by a lack of emission beyond the (projected) Keplerian speed at the inner radius. We also constrain the temperature gradient in the disk. Conclusions. Our data reveal the existence of an inner hole in GM Aur gas disk. Its origin remains unclear, but can be linked to planet formation or to a low mass stellar companion orbiting close to the central star (~5-15 AU). The frequent finding of inner cavities suggests that either binarity is the most common scenario of star formation in Taurus or that giant planet formation starts early.
Estimation of Center of Gravity Obtained from 3D Whole Body Scanning Anthropometry Method

Introduction: In the past, body segmental volume was measured from various methods as immersion method, mathematical model, photogrammetric, have been used for various research in biomechanics. As for the three dimensional anthropometry how there are a whole body volume and each segment volumes, possibility of estimation of various body segment parameter will be shown. Purpose of this study was estimated center of mass using three dimensional anthropometry. Methods: The subjects were 6 males (Age:22.3±1.1 years, body height: 172.5±5.9cm, body mass: 67.2±2.5kg) participated in this study. We used Body line scanner ( BLS: Hamamatsu Photonics KK) for 3D Whole body anthropometry. Subjects were measured a whole body volume using BLS. Scanning data obtained from BLS was distributed 14 parts of each segmental volumes using anatomical randmarkpoint, be calculated each segmental volumes. For the definition of each segment were used from C.E. Clauser,1969. Center of each segmental mass (SCOM) was calculated from each segmental volume. Segment mass (SM) was calculated using each segment density which from preceding study. Center of gravity (COGABS) and COGREL (center of gravity expressed as a percentage of the body height) was calculated from SCOM and SM of each segment. For the measurement of the COGABS and COGREL, the reaction board method was employed. The reaction board consisted of a rigid board (180×91.5×2.5cm) mounted on a scale. COGABS and COGREL were compared from each method that calculated from reaction board , BLS and predicted value from C.E. Clauser,1969 , and calculated %Difference. Results and Discussion: The whole body mass that we estimated using BLS compared with body weight, the difference was under 1.5%. %difference of COGABS and COGREL (BLS and a measurement) were 2.9±0.9%, and the BLS showed lower than measurement (measured:COGABS =97.2±3.6cm,COGREL=56.6±0.5%,BLS:COGABS=94.4±3.0cm,COGREL=54.9±0.5%). In addition, the predicted value showed higher than a measurement (predicted value:COGABS=100.1± 3.5cm,COGREL=58.3±0.6%). Conclusion: It was suggested that We can estimate COG which we estimated from segment mass and center of volume with an measured and a difference of 2.9% .