Miracle-dz/UniFAR-FTUs huggingface dataset:
Simultaneous Inversion of Source Spectra, Attenuation Parameters, and Site Responses: Application to the Data of the French Accelerometric Network

Displacement spectra of earthquakes recorded by the French accelero- metric network at regional scale are modeled as the product of source, propagation (including geometric and anelastic attenuation), and site effects. We use an iterative Gauss-Newton inversion to solve the nonlinear problem and retrieve these different terms. This method is easy to implement because the partial derivatives of the am- plitude spectrum with respect to the different parameters have simple analytic forms. After convergence, we linearize the problem around the solution to compute the cor- relation matrix, which allows us to identify the parameters which are poorly resolved. We analyze data from two tectonically active regions: the Alps and the Pyrenees. Eighty-three earthquakes with local magnitudes between 3.0 and 5.3 are analyzed, with epicentral distances in the range 15-200 km. S-wave displacement spectra are computed using a fast Fourier transform and integration in the 0.5-15-Hz fre- quency domain. We assume a Brune-type source, with a geometric attenuation of the form R � γ , γ being constant, and a frequency-dependent quality factor of the form QQ0 × f α . The results reveal that the attenuation parameters are correlated to each other and to the seismic moments. The two regions have different attenuation patterns. The geometrical spreading factor is equal to 1 for the Alps and 1.2 for the Pyrenees. The anelastic attenuation exhibits low Q0 values (322 and 376 for the Alps and the Pyrenees, respectively) with regional variations for α (0.21 in the Alps and 0.46 in the Pyrenees). Computed moment magnitudes are generally 0.5 unit smaller than local magnitudes, and the logarithms of the corner frequencies decrease linearly with mag- nitude according to log10� fc �� 1:72 � 0:32 × Mw. Stress drops range from 10 5 to 10 7 Pa (i.e., 1-100 bars), with a slight dependence to magnitude (large stress drops for large magnitudes). Finally, robust site responses relative to an average rock-site response are derived, allowing us to identify good reference rock sites.
Human Capital Convergence in Greece: A Panel Data Analysis

The neoclassical growth model has been supported by a large amount of regional and cross-country studies providing evidence of â-convergence. Nevertheless, it faces theoretical and empirical challenges which are still the subject of research on the dynamics of growth. Consideration of human capital accumulation has strengthened the theoretical foundations of the model, especially its open economy version. It has also improved the explanatory power of the model and its usefulness in quantitative analysis. Human capital accumulation accounts for that part of observed per capita income and output disparities, not explained adequately by the initial approach. Newer versions of neoclassical growth modeling imply clearly that the process of growth and convergence depends heavily on human capital accumulation and convergence. This study investigates regional human capital convergence in Greece during the period 1971-2001, for the census years of which necessary data are available. Following the usual practice in the literature, human capital quality is expressed in terms of educational achievement. Panel data econometric analysis is conducted using census year data for the Greek prefectures (NUTS III areas). The existence of human capital â-convergence is examined. Changes in the distributions of educational achievement, using different criteria, are also examined in order to see if actual convergence occurs. Results show that both space and time effects are significant and so is the established conditional â-convergence. Nevertheless, actual convergence is not achieved over the examined period and the dispersion of the observed human capital distributions has been increasing.
STUDYING INFLUENCES ON SYNTHESIS OF BIODEGRADABLE POLYMER POLY(L(+)LACTIC ACID) BY POLYCONDENSATION USING OF TIN BASED CATALYSTS

STUDYING INFLUENCES ON SYNTHESIS OF BIODEGRADABLE POLYMER POLY(L(+)LACTIC ACID) BY POLYCONDENSATION USING OF TIN BASED CATALYSTS Author(s) Le, Van Chieu; Cao, The Ha; Nguyen, Duc Thuy Chung; Tateda, Masafumi Citation Annual Report of FY 2007, The Core University Program between Japan Society for the Promotion of Science (JSPS) and Vietnamese Academy of Science and Technology (VAST). P.309-P.320 Issue Date 2008 Text Version publisher URL http://hdl.handle. net/11094/12997 DOI rights Note
Cellulase and xylanase production by co-culture of Aspergillus niger and Fusarium oxysporum utilizing forest waste

Aim: The purpose of present work was to utilize lignocellulosic forest waste for cost-effective production of commercially important enzymes i.e. cellulase and xylanase by employing co-culture of Aspergillus niger F7 and Fusarium oxysporum F8 in solid state fermentation (SSF). Material and Methods: Fungal strains i.e. A. niger F7 and F. oxysporum F8 isolated from degrading forest litter were used as co-culture and their enzyme biosynthesis on forest waste was noticed. The prominent forest wastes i.e. Toona ciliata, Celtris australis, Cedrus deodara and Pinus roxburghii were procured from local forest and alkali (NaOH) pretreatment was given to these lignocellulosic substrates to simplify the crystalline cellulose present in them for higher yield of enzymes by fungal isolates. Two types of moistening agents i.e. tap water and modified basal salt medium (BSM) were used in the substrate in the ratio of 1:2 to evaluate their effect on enzyme production under SSF. Results: The maximum enzyme titers i.e. 787.89 U/g of cellulase and 669.08 U/g of xylanase were observed in C. australis as compared to untreated biomass which was 450.02 and 398.03 U/g of cellulase and xylanase respectively when tap water was used as moistening agent. Biodegradation of forest biomass under SSF was increased many folds when moistening agent i.e. tap water had been replaced with modified basal salt media (BSM). In BSM mediated degradation of forest waste with co-culture of A. niger and F. oxysporum, extracellular enzyme activity was increased up to 2219.55 U/g of cellulase and 1012.0 U/g of xylanase in pretreated C. australis wood. Conclusion: In untreated biomass enzyme production by fungi was quite low thus emphasizing the need of pretreatment for biodegradation of forest lignocellulosics. Significantly higher production of cellulase and xylanase using pretreated forest waste and modified BSM as moisture are main highlights of the present study which commercially may lead to cost effective production of these industrially important enzymes.
Application of Response Surface Methodology for Determining Cutting Forces in Hard Turning Using Castrol Coolant

A B S T R A C T The present paper investigates the effect of different cutting parameters (cutting speed, feed rate, and depth of cut) on cutting force components using Castrol cooling condition in hard turning of alloy steel AISI 52100 . Mathematical models for cutting force components were developed using the response surface methodology (RSM). Experiment designs completed with a statistical analysis of variance (ANOVA) were performed. These models would be helpful in selecting optimum values of cutting parameters when turning hardened steels using coated carbide cutting tools. Results show that the cutting force components are influenced principally by the depth of cut, while feed rate and cutting speed have small effect on the cutting force components
Pricing of Two Kinds of Power Options under Fractional Brownian Motion, Stochastic Rate, and Jump-Diffusion Models

Option pricing is always one of the critical issues in financial mathematics and economics. Brownian motion is the basic hypothesis of option pricing model, which questions the fractional property of stock price. In this paper, under the assumption that the exchange rate follows the extended Vasicek model, we obtain the closed form of the pricing formulas for two kinds of power options under fractional Brownian Motion (FBM) jump-diffusion models.
Pareto Efficient Multi-objective Joint Optimisation of EM Data

Jointly inverting different data sets can greatly improve model results, provided that the data sets are sensitive to similar features. Such a joint inversion requires assumed connections between the different geophysical data sets, which can either be of analytical or structural nature. Classically, the joint problem is expressed as a scalar objective function that combines the misfit functions of all involved data sets and a joint term accounting for the assumed connection. This approach has two major disadvantages: Firstly, by aggregating all misfit terms a weighting of the data sets is enforced, and secondly, false models are produced, if the connection between data sets differs from the assumed one. We present a Pareto efficient multi-objective evolutionary algorithm, which treats each data set as a separate objective, avoiding forced weighting. The algorithm jointly inverts one-dimensional datasets from different electromagnetic techniques and also treats any additional information as separate objectives, rather than imposing them as a fixed constraint. Additional information can include, for example a priori models, seismic constraints, or well log data. Statistical analysis of the final solution ensemble yields an average one-dimensional model with associated uncertainties. Furthermore, the shape and evolution of the Pareto fronts is analysed to evaluate dataset compatibility and to judge if the assumed connection between datasets was valid.
Factorial Validation of an Academic Environment Scale for Undergraduate Education Students in Jos, Nigeria

This study developed and validated an academic environment assessment scale for undergraduate education students in the Faculty of Education of a University in Nigeria. Dearth of reliable academic environment assessment scale and persistent poor performance of students over the years in Research Methods and Statistics courses prompted the study. A sample of 310 students was drawn from a population of 790 final year undergraduate education students in 2013/2014 academic session, using a stratified sampling technique. A 43-item Academic Environment Scale (AES), which sought perceptions of students about their academic environment developed and validated by the researchers, was used for data collection. Data collected were analysed using exploratory factor analysis technique and Cronbach alpha method. The Kaiser’s rule (eigenvalue ≥ 1) and scree plot were adopted in extraction of five factors as underlying structure of the instrument. The factors were labeled respect for students, academic guidance to students, commitment to academic work, relationship with lecturers and freedom of learning, based on the description of items that loaded on them. The index of logical validity of 0.90 and the reliability coefficient of 0.91 was also established for the instrument. It was concluded that factor analysis and reliability results provided clear evidence for factorial validity and reliability of the instrument. It was recommended, based on the findings, that the instrument should be used for exploring students’ perceptions of personal and social academic environment variables and as a valid diagnostic tool for providing guidance and counseling support to students. DOI: 10.5901/mjss.2016. v7n6p205
A note on the influence of atmospheric model resolution in coupledclimate–ice-sheet simulations

Coupled climate–ice-sheet simulations have been growing in popularity in recent years. Experiments of this type are however challenging as ice sheets evolve over multi-millennial time scales, which is beyond the practical integration limit for most Earth-system models. A common method to increase model throughput is to trade resolution for computational efficiency (compromises accuracy for speed). Here, we analyze how the resolution of an atmospheric general circulation model (AGCM) influences the simulation quality of a standalone ice-sheet model. Four identical AGCM simulations of the Last Glacial Maximum (LGM) were run at different horizontal resolutions: T85 (1.4°), T42 (2.8°), T31 (3.8°), and T21 (5.6°). These simulations were subsequently used as forcing of an ice-sheet model. While the T85 climate forcing reproduces the LGM ice sheets to a high accuracy, the intermediate resolution cases (T42 and T31) fail to build the Eurasian Ice Sheet. The T21 case fails in both Eurasia and North America. Sensitivity experiments using different surface mass balance parameterizations improve the simulations of the Eurasian ice-sheet in the T42 case, but the compromise is a substantial ice buildup in Siberia. The T31 and T21 cases are not improving in the same way in Eurasia, though the latter simulates the continent-wide Laurentide Ice Sheet in North America. The difficulty to reproduce the LGM ice sheets in the T21 case is in broad agreement with previous studies using low-resolution atmospheric models, and is caused by a deterioration of the atmospheric climate between the T31 and T21 resolutions. It is speculated that this deficiency may demonstrate a fundamental problem using low-resolution atmospheric models in these types of experiments.
PCR-RAPD and cross species rat microsatellite loci amplification in Mastomys (Praomys ) coucha Smith, 1836

Ten RAPD primers and nine microsatellite markers of Mastomys huberti were cross tested to establish molecular characters as well as identify microsatellite markers in the genome of Mastomys (Praomys) coucha. A total of 484 bands were scored against 10 isolates of M. coucha. The per cent polymorphism was 1.66 in individual isolates but this polymorphism was not statistically significant among the 10 isolates (Mas1 to 10). Mean difference, Mas6 vs. Mas10 = 0.005, Mas5 vs. Mas3 = 0.485 and Mas7 vs. Mas9 = 0.260 were calculated by Newman-Keuls multiple comparison test using one way ANOVA among Mastomys strains. The dendogram also revealed Single linkage euclidean distances among the 10 isolates (Mas3 vs. Mas1 = 1.3, Mas8 vs. Mas5 = 1.5 and Mas9 vs. Mas5 = 1.1) but the Single linkage euclidean distances were statistically not significant (P>0.05). Identifying RG-1, 3, 4, 7 and 8 RAPD markers were amplified in all the isolates with 1200 bp, 1200 and 200 bp; 400 bp; 1000 and 700 bp and 300 bp, respectively along with other polymorphic alleles. Out of 9 microsatellite markers, 5 (MH028 434 bp; MH30 249 bp; MH105 271 bp; MH133 338 bp and MH174 316 bp, respectively) were exactly amplified in the genome of M. coucha. RG-1, 3, 4, 7 and 8 RAPD primers and 5 microsatellite markers may assist in the identification of M. coucha.
Analysts, Macroeconomic News, and the Benefit of Active In-House Economists

Although macroeconomic news has a major impact on corporate earnings, anecdotal evidence suggests that financial analyst research is inefficient with respect to such news. Examining analysts’ earnings research, we find that they underreact to negative macroeconomic news. Analysts are not all equal though, as analysts employed at the same firm as an active macroeconomist underreact much less. We find that the benefit of analyst access to an economist is concentrated in firms that are high in cyclicality relative to their industry, high in cyclicality in general, and that are smaller in size. In addition, analysts who are exposed to more accurate or award-winning in-house macroeconomists benefit more. Investors appear to recognize the advantage of access to macroeconomists, reacting more strongly to these analysts’ forecast revisions. Overall, our results suggest that the presence of an active in-house macroeconomist improves the efficiency and credibility of analyst research.
Photoreactions with tensor-polarized deuterium target at VEPP–3

We give an overview of the activity in studying photoprocesses on a tensor-polarized deuterium target, which is carried out at the VEPP–3 electron storage ring. Recent experimental results on tensor asymmetries in two-body deuteron photodisintegration at the photon energy up to 500 MeV, and in coherent pion photoproduction on deuteron are presented. Plans to upgrade the facility and future experiments are discussed. Further progress is connected with the installation of a tagging system for almost-real photons. This would allow us to extend the measurements of polarization observables in photonuclear reactions on deuteron up to a photon energy of 1.5 GeV and permit to perform double polarized experiments – with linear polarized photon beams and tensor/vector polarized deuterium targets.
A NOVEL DEEP CONVOLUTIONAL NEURAL NETWORK FOR SPECTRAL–SPATIAL CLASSIFICATION OF HYPERSPECTRAL DATA

Abstract. Spatial and spectral information are obtained simultaneously by hyperspectral remote sensing. Joint extraction of these information of hyperspectral image is one of most import methods for hyperspectral image classification. In this paper, a novel deep convolutional neural network (CNN) is proposed, which extracts spectral-spatial information of hyperspectral images correctly. The proposed model not only learns sufficient knowledge from the limited number of samples, but also has powerful generalization ability. The proposed framework based on three-dimensional convolution can extract spectral-spatial features of labeled samples effectively. Though CNN has shown its robustness to distortion, it cannot extract features of different scales through the traditional pooling layer that only have one size of pooling window. Hence, spatial pyramid pooling (SPP) is introduced into three-dimensional local convolutional filters for hyperspectral classification. Experimental results with a widely used hyperspectral remote sensing dataset show that the proposed model provides competitive performance.
Periodic and Successive Point-of-interest Recommendation under Dual Social Group Influences with Matrix Factorization

Successive POI recommendation is a newly emerged research direction in recent years, which tries to recommend new POIs that the user has not visited before under the premise of knowing the current POIs of users. Previous work on successive POI recommendation only made limited improvements from using the geographical context and social information and so on. However, these approaches roughly regarded social influences as neighbor relationships and did not deeply study social influence factors. Hence, in this paper, we propose a unified POI recommendation model, which is called the periodic and successive point-of-interest recommendation based on the dual social influence. We subdivide the social influence into two social groups, namely, the direct social group with link relationship and the indirect social group with the common checked-in POIs. A stochastic gradient descent based algorithm is adopted to learn the matrix factorization and the experimental study on two real-world datasets demonstrate the effectiveness of the proposed approach over the existing state-of-the-art ones.
Effect of a commercial probiotic on bacterial and phytoplankton concentration in intensive shrimp farming (Litopenaeus vannamei) recirculation systems

The aim of this study was to evaluate the effect of a commercial probiotic on the bacterial and phytoplankton concentration in intensive shrimp farming (Litopenaeus vannamei) with a recirculation system, for one culture period in Rio Grande do Norte, Brazil. Ponds, with mean area of 2.6 ha, were stocked with a density of 98 shrimp m -2 . A commercial probiotic was prepared following the manufacture's specifications and sprayed on the surface of the ponds seven days prior to stocking and then on a weekly basis until harvest. The same procedures were used with all treatments (control and probiotic), with regard to feeding, liming, fertilization, use of molasses and monitoring of water quality. Field data were analyzed using ANOVA, the Tukey test and Chi-square tests. No significant differences between treatments were found for water quality data, but treatment means showed significant differences for total heterotrophic bacteria in the sediment (5.181 ± 0.34x10 4 cfu g -1 and 5.749 ± 0.67x10 4 cfu g -1 ), total heterotrophic bacteria in surface water (4.514 ± 0.95x 10 4 cfu m L -1 and 4.136 ± 0.81x10 4 cfu m L -1 ) and positive sucrose in surface water (2.438 ± 0.72x10 4 cfu m L -1 and 2.203 ± 0.76x10 4 cfu m L -1 ), respectively, for the control and probiotic treatment. Significant differences were also observed throughout the weeks for total heterotrophic bacteria in the sediment, positive and negative sucrose in the sediment, total heterotrophic bacteria in surface and bottom water, and Pyrrophyta percentage values between 10 and 16 weeks. These results showed that the probiotic causes changes in the total heterotrophic bacteria in the sediment and percentage values of Pyrrophyta concentration, improving the environmental quality of the sediment and water in ponds with closed recirculation systems.
A login strategy using fingerprint verification

So far, majority of applications and websites mainly use traditional login method based on username and password. These identity authentication systems acquire two steps that users must execute. Firstly, users must complete registration. Secondly, they must enter correct username and password to login, only these two steps will spend seven or eight minutes. Moreover, the account can be forgotten, lost and stolen. So this paper proposes a technique which based on fingerprint verification. When logged in, people only need to brush fingerprint to verify identity. This kind of login method is simple and quick, safe and reliable. Keywords—system login, account security, fingerprint verification
SILVER NANOPARTICLES FROM MEDICINALLY IMPORTANT EUPHORBIA CYATHOPHORA EXTRACT: BIOSYNTHESIS, CHARACTERIZATION, AND ANTICANCER ACTIVITY.

Objective: The present study was aimed at the biosynthesis of silver nanoparticles (AgNPs) using aqueous extract of Euphorbia cyathophora leavesand testing their anticancer potential using HT-29 cell line model.Methods: Green synthesis of silver nanoparticles was obtained with the aqueous extract of E. cyathophora. The synthesized nanoparticles wereconfirmed initially by ultraviolet-visible spectroscopy. Further, scanning electron microscopy, transmission electron microscopy, and X-Ray diffractionstudies also ensured the presence of silver nanoparticles. Zeta potential studies revealed the stability of the silver nanoparticles.Results: Antioxidant and anticancer studies of the nanoparticles against HT-29 cell line exhibited remarkable results.Conclusion: This ensures that the synthesized nanoparticles play an important role in medicinal biology.
Lactogenic and Cytogenetic Effects of Ochratoxin A in Adult Male Rats and Pups

Lactogenic and cytogenic effects were studied for Ochratoxin (OTA) dosed daily orally throughout lactation period to four groups each consist of newly parturated female rats at doses (0, 60, 120, 180) µg/Kg. BW representing control, T1, T2, T3 group. Micronucleus test results indicated significant increase in number of fragmented and budding nuclei of T1, T2, T3 adult rat bone marrow in dose dependent manner in comparison with control group. The lactating results show no significant change in weekly pup group's weight gain or length throughout lactating period. Alough there were no changes recorded in viability index of all pups groups, lactating index recorded considerable decline in T1, T2, T3 pups groups according with their adult OTA doses with maximum pups death at the third lactating week. Different histopathological lesions observed in pups liver, kidney and spleen that increase in severity proportionally with their OTA mother doses.