Miracle-dz/UniFAR-FTUs huggingface dataset:
A Modified Hybrid MoM-Modal Method for Shielding Effectiveness Evaluation of Rectangular Enclosures with Multiple Apertures

A new hybrid modal-moment method is proposed to calculate fields penetrated through small apertures on rectangular metallic enclosures. First, the method of moments is used to numerically solve the governing electric field integral equation for the equivalent two-dimensional surface-current distributions on the surface of metallic enclosure including any number of rectangular apertures of arbitrary lay-out. The resultant exterior scattered fields are then used as the input to a testing procedure to obtain aperture field distributions in the modal expansion technique. These fields can be directly transferred to interior penetrated fields, using appropriate Green’s function of the cavity inside region. To validate the method proposed in this paper, the results of the proposed method are compared with the measurement results available in the literature and those obtained using the conventional modal-moment method for both single and double aperture enclosures. It is shown that the proposed method offers a remarkable improvement in computation burden over the conventional method, especially for calculation of field penetration through much number of apertures typical to realistic measures in the discipline of electromagnetic compatibility.
An Improved Statistical Scheme for the Prediction of Tropical Cyclones Making Landfall in South China

Abstract This study describes an improved statistical scheme for predicting the annual number of tropical cyclones (TCs) making landfall along the coast of south China using data from 1965 to 2005. Based on the factors affecting TC behavior inside the South China Sea (SCS), those responsible for TCs making landfall are identified. Equations are then developed using the coefficients of empirical orthogonal functions of these factors to predict, in April, the number of these TCs in the early (May–August) and late (September–December) seasons, and in June, the number in the period between July to December. The new scheme achieves a forecast skill of 51% over climatology, or an improvement of about 11% compared to previous studies, when predicting landfalling TC for the whole season, and it seems to be able to capture the decrease in their number in the recent years. Analyses of the flow patterns suggest that the conditions inside the SCS are apparently the major factor affecting the number of landfalling TCs.
Characterization of Momentum Transport Associated with Organized Moist Convection and Gravity Waves

Abstract Tropical convection is inherently multiscalar, involving complex fields of clouds and various regimes of convective organization ranging from small disorganized cumulus up to large organized convective clusters. In addition to being a crucial component of the atmospheric water cycle and the global heat budget, tropical convection induces vertical fluxes of horizontal momentum. There are two main contributions to the momentum transport. The first resides entirely in the troposphere and is due to ascent, descent, and organized circulations associated with precipitating convective systems. The second resides in the troposphere, stratosphere, and farther aloft and is caused by vertically propagating gravity waves. Both the convective momentum transport and the gravity wave momentum flux must be parameterized in general circulation models; yet in existing parameterizations, these two processes are treated independently. This paper examines the relationship between the convective momentum transport and.
Synthesis, Characterization and Photocatalytic Activity of Reduced Graphene Oxide-Ce/ZnO Composites

A series of Ce-doped ZnO (Ce/ZnO) nanostructures were fabricated using the co-precipitation method, then a simply nontoxic hydrothermal approach was proposed for preparation of reduced graphene oxide (rGO)-Ce/ZnO composites. The synthesized composites were investigated by powder X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FT-IR), photoluminescence spectroscopy (PL), electrochemical impedance spectroscopy (EIS), UV-vis diffuse reflectance spectroscopy (DRS) techniques and Raman pattern. The as-synthesized rGO-Ce/ZnO composites showed high photodecomposition efficiency in comparison with the rGO-ZnO, Ce/ZnO, pure ZnO under UV, visible-light and sunlight irradiation. The degradation of methylene blue (MB) (10 mg/L, 100ml) by 95.8% within 60 min by using rGO-2 (10 mg) under sunlight irradiation was observed. The repeated use of the rGO-2 was investigated, and the results showed almost no decay in the catalytic activity.
LED-BASED COMPRESSIVE SPECTRAL TEMPORAL IMAGING by Xiao Ma A thesis submitted to the Faculty of the University of Delaware in partial fulfillment of the requirements for the degree of Master of Science in Electrical and Computer Engineering

A new compressive spectral temporal imaging system is proposed to obtain a four dimensional (4D) spectral and temporal image cube. A multi-spectral Light-Emitting Diode (LED) array is applied for target illumination and spectral modulation while a digital micromirror device (DMD) encodes the temporal image frames. High frame-rate spectral video is recovered from successive compressed measurements captured on a RGB sensor. Computer simulations are performed based on the developed forward model. The imaging system is optimized through the design of the DMD patterns. A laboratory implementation is further conducted to validate the performance of the proposed imaging system.
Extraction of coronary artery trees in angiocardiography images

Dynamic variations of coronary arterial curvilinearity have been very difficult to study in the current angiograms. However, there is both experimental and clinical evidence showing that vessel extraction is very useful for the purposes of surgery treatment and clinical study. We propose in this paper an automated algorithm to locate the outline of the coronary artery tree blood vessels in angiograms. The proposed approach is a useful tool for physicians. The algorithm automatically segments the coronary arteries from the cineangiogram followed by an accurate extraction of the vessel features. Such a preprocessing in conjunction with the matched (Gaussian) filter can greatly improve the results. The proposed segmentation algorithm consists of two major processes: (1) Gaussian filter for blood vessels and (2) thresholding. We evaluated our algorithm by testing it on a raw data set of 100 angiogram images and the results were validated by two ways. First, hand-labelled annotations of ground truth segmentation of 20 images; and the results showed that our algorithm is better in detecting features of arteries even with poor contrast that bare eye could not recognize it in the hand-labelling. Secondly, by making a questionnaire to validate the efficient illustration output. The hand-labelling matched our results by 98% of the output while the validation rate of questionnaire was 90.84%. We conclude that our improved algorithm is efficient for extracting the coronary artery tree vessels including the tiny ones. In addition, the algorithm was fast to extract vessels that it takes between 14 to 15 s per image.
MIMO Capacity in UWB Channels in an Office Environment for Different Polarizations

In this paper, a 4 £ 4 indoor Multiple-Input Multiple- Output Ultra-Wideband (MIMO-UWB) measurement campaign in the 2{5GHz bandwidth is presented. The main contribution of this work is the impact of radio-wave polarization as well as the efiect of frequency dependence on the capacity of MIMO-UWB systems working in an o-ce environment. To accomplish this, the capacity for difierent polarizations is analyzed under two difierent assumptions: constant or variable Signal-to-Noise Ratio.
Fairness Aware Downlink Scheduling Algorithm for LTE Networks

This paper proposes a new scheduling algorithm in downlink Long Term Evolution networks whichis adoptable with fast variations in channel conditions.It allocates resources in a fair manner among users so that it increases cell edge users’ performance. Besides, it makes a good trade-off between throughput and fairness. The proposed method is simulated and compared with three scheduling algorithms available for Long Term Evolution. The results showgood degree of fairness at the cost of small decrease in amount of system throughput.
Conceptualizing the social media communication impact on consumer based brand equity

Purpose of the article: The purpose of this paper is to identify the impact of consumer-brand communication in social media on brand equity, providing conceptual model. Methodology/methods: The model was prepared using methods of comparative and systematic analysis of scientific literature. Scientific aim: The scientific aim of the article to propose the perspective of social media communication impact on brand equity conceptualization. The key factors of consumer engagement in company (brand) communication process and amount of consumers created content (non-sponsored content, i.e. content created in interaction with company or brand, and sponsored content, i.e. content created in interaction with company (brand)) was under consideration. Findings: Our findings attempt to provide a comprehensive understanding of company (brand) communication in social media seeking after a positive impact on brand equity dimensions. Theoretical analysis disclosed that it is not enough just to post message in a proper social media channel, it is essential to post appropriate content of the message and to post it in appropriate way in persuasion to engage consumers into communication. The consumer-generated content created in interaction with company and without interaction with company in social media is making impact on brand equity. Conclusions: The study extends the literature by examining communication in social media from company to consumer perspectives in order to disclose changes in marketing communication as source of brand equity in virtual context and to present key factors influencing brand equity in company (brand) communication process. Therefore brand management perspective requires understanding of consumers’ role in social media.
Comparison of Different Subject Cultures and Pedagogical Use of ICTs in Estonian Schools

This paper explores the ways in which teachers have integrated ICTs in teaching humanities and science classes at the elementary and primary school levels. The research is based in Estonia, looking at five Estonian and one Russianspeaking primary and elementary schools. Data were gathered through classroom observations and two consecutive interviews with 16 teachers. Our findings indicate that technology use is strongly related to the teacher’s dominant instructional style and the specific subject culture.
Analysis of the archaea communities in fields with long-term continuous cotton cropping

This study was carried out in order to investigate the variations of the soil archaeal community structure in fields with continuous cotton cropping in Xinjiang Region, China. Soil samples were collected from four depths in fields with 7-year continuous cotton cropping. 16S rRNA-polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) was used to analyze the archaeal community structure in soil. The archaeal diversity indices of the soil samples at the same depth exhibited similar patterns of changes with the period of continuous cotton cropping. Cluster analysis indicated that although various timeframe of succession cropping had great effect on archaeal communities in the samples of soils at various depths, they all had the trend to restore spontaneously. Principal component analysis showed that the archaeal community structure varied similarly regardless of the period of continuous cotton cropping. Homology comparison of sequences recovered from the DGGE bands showed that the obtained sequences all originated from the archaea organisms not cultured. Continuous cotton cropping exerted significant influences on the structure of soil archaeal community in Xinjiang Region, which were largely determined by the soil depth and the period of continuous cotton cropping. The microbial diversity of soil archaeal communities gradually recovered after 5-year continuous cropping. Keywords: Cotton monoculture, Archaeal communities, 16S ribosomal RNA, denaturing gradient gel electrophoresis (DGGE) African Journal of Biotechnology , Vol. 13(3), pp. 456-464, 15 January, 2014
Interest Reaction Function of the Central Bank: The Case of Czech Republic

Central banks will either increase or decrease interest rates, or resort to leave them fixed while making adjustments on interest rates. For this reason, in general, central banks examine different strategies of monetary politics and employ distinct interest reaction functions. The aim of this study is to examine different reaction functions explicating the movement of interest rates for Czech Republic. For this aim, the impacts of inflation gap and production gap on possibilities for materialization of the abovementioned movements of interest rates analyzed by multinomial probit models. According to the attained findings, while the lag of interest rates and inflation gap play an efficient role both on increasing and decreasing interest rates, production gap plays an efficient role only on increasing interest rates. Besides, it is possible to say that the lag of interest rate and inflation gap have further effect than of production gap. As a result, it can be said that reaction functions, which deal with inflation gap, production gap and the lag of interest rates for monetary politicians of Czech Republic, will be a good and simple guide.
3D Cell Culture to Analyze Tumor Cell Nanovesicles Role in Prostate Cancer Pathogenesis

Cancer is one of the main causes of death in developed countries and it is estimated to become the same worldwide, with prostate cancer being the fourth most common type in the world population. The study of nanovesicles, called exosomes, with approximately 50-100 nm in diameter, which have a lipid bilayer that can carry molecules such as RNA, DNA, proteins, and lipids, have been shown to play an important role in carcinogenesis. Thus, this work aimed to analyze the action of tumor cell nanovesicles on normal cells, for a better understanding of the prostate cancer pathogenesis. Therefore, nanovesicles were isolated from the supernatant of LNCaP, PC3 and RWPE-1cell lines, using ultracentrifugation methodology and characterized by scanning electron microscopy. Nanovesicles were incubated with 3D-cultured prostate epithelial cells. The expression of CD133, c-myc, Oct4 and SOX2 genes were analyzed by the qPCR technique. The results obtained proved that nanovesicles can significantly alter the expression of cancer-related genes.
Innovative methods and technologies for spatial listening and speech intelligibility using hearing implants

The proportion of the population with acquired hearing loss is increasing worldwide. Specific types of hearing loss require the treatment with hearing implants. Cochlear implants and bone conduction hearing implants are two examples. The present contribution is a prospect of the underlying project in its early stadium. The project addresses new methods and technologies that improve spatial hearing with such implants. The methods are adjusted specifically for both types of hearing implants. For cochlear implants bioinspired signal processing methods are applied. For bone conduction implants new working principles for mechanical stimulation based on piezoelectric transducers are investigated. To evaluate the developments perceptional experiments are conducted, which investigate spatial hearing and speech intelligibility with normal-hearing and hearing-impaired persons. For this purpose a virtual listening environment is applied to synthesize different room acoustics, source positions, audio signals, and acoustic scenes with different complexity. Cochlear implants and a custom-made bone conduction device are used as playback systems. The bone conduction device generates the mechanical input and transmits mechanical oscillations via the temporal bone to the cochlea. Listening tests assess speech intelligibility with spatially distributed background noise and localization abilities.
Genetic Variability, Correlation and Path Co-Efficient Analysis in Bottle Gourd (Lagenaria siceraria L.)

4 Abstract: Variability, correlation and path analysis among different characters of thirty one bottle gourd genotypes were studied. There was a great deal of significant variation for all the characters among the genotypes. High genotypic co-efficient of variation (GCV) was observed for yield per plant, fruit weight whereas low genotypic co-efficient of variation was observed fruit breadth. In all cases, phenotypic variances were higher than the genotypic variance. Differences between genotypic and phenotypic co-efficient revealed that the major portion of the phenotypic variance was genetic in nature. High heritability with low genetic advance in percent of mean was observed in leaf petiole length which indicated that non-additive gene effects were involved for the expression of this character and selection for such trait might not be rewarding. High heritability with high genetic advance in percent of mean was observed for yield per plant and days of first male flowering indicated that this trait was under additive gene control and selection for genetic improvement for this trait would be effective. Correlation studies revealed that highest significant association of yield per plant with reproductive characters no. of fruit per plant followed by fruit weight at genotypic and phenotypic level. Path co-efficient analysis revealed maximum direct contribution towards yield per plant with of no. of fruit per plant followed by fruit weight. Considering all the characters the G (BD-4580), G (BD-8948), G (BD-4560) and 4 31 26 G (BD-4569) were selected for future breeding programme. 28
Insight into global trends in aerosol composition from 2005 to 2015 inferred from the OMI Ultraviolet Aerosol Index

Abstract. Observations of aerosol scattering and absorption offer valuable information about aerosol composition. We apply a simulation of the Ultraviolet Aerosol Index (UVAI), a method of detecting aerosol absorption from satellite observations, to interpret UVAI values observed by the Ozone Monitoring Instrument (OMI) from 2005 to 2015 to understand global trends in aerosol composition. We conduct our simulation using the vector radiative transfer model VLIDORT with aerosol fields from the global chemical transport model GEOS-Chem. We examine the 2005–2015 trends in individual aerosol species from GEOS-Chem and apply these trends to the UVAI simulation to calculate the change in simulated UVAI due to the trends in individual aerosol species. We find that global trends in the UVAI are largely explained by trends in absorption by mineral dust, absorption by brown carbon, and scattering by secondary inorganic aerosol. Trends in absorption by mineral dust dominate the simulated UVAI trends over North Africa, the Middle East, East Asia, and Australia. The UVAI simulation resolves observed negative UVAI trends well over Australia, but underestimates positive UVAI trends over North Africa and Central Asia near the Aral Sea and underestimates negative UVAI trends over East Asia. We find evidence of an increasing dust source from the desiccating Aral Sea that may not be well represented by the current generation of models. Trends in absorption by brown carbon dominate the simulated UVAI trends over biomass burning regions. The UVAI simulation reproduces observed negative trends over central South America and West Africa, but underestimates observed UVAI trends over boreal forests. Trends in scattering by secondary inorganic aerosol dominate the simulated UVAI trends over the eastern United States and eastern India. The UVAI simulation slightly overestimates the observed positive UVAI trends over the eastern United States and underestimates the observed negative UVAI trends over India. Quantitative simulation of the OMI UVAI offers new insight into global trends in aerosol composition.
ASSESSING ECONOMIC GROWTH AND FISCAL POLICY IN INDONESIA

This paper attempts to analyze the economic development and fiscal policy in Indonesia. Especially, it investigates whether Wagner and/or Keynes law(s) of economic development apply in the country and what variables determine the economic growth and fiscal policies. Technically, the paper uses econometric model called Autoregressive Distributed Lag model and Vector Auto Regression model to analyze both short and long run periods. The main finding is that both Wagner and Keynes law(s) occur in the Indonesian economy. Particularly, economic growth is influenced by government expenditures variables, namely employment expenditures, good expenditures and non tax income. Meanwhile, government expenditures are determined by exports of oil, imports and payment of debts. As such, the paper suggests that policy makers use employment expenditures as the fiscal policy variable while imports and exports of oil are the aggregate economy policy variables.
The impact of organizational structures on forecasting practices and performances: evidences on the GMRG database

Attention is here paid to the relationship between organizational configurations, forecasting practices and performances. Attention is at first paid on the relationship between the forecaster organizational position and how companies evaluate future demand, and, on a second hand, focus is paid towards the impact of the forecasting organizational structure and companies performances. Empirical evaluations are developed by means of the Global Manufacturing Research Group database concerning practices among 200 international companies by means of ANOVA analyses. This work contributes to current knowledge claiming that when a forecasting approach is developed (mainly in terms of forecasting technique and data collected), attention should also be paid towards who is going to use this approach. From a managerial point of view this work helps companies in better understanding how to structure their forecasting process to gain better performances.
Fe-Sn Intermetallic Compound Synthesized via Mechanical Alloying and Liquid Phase Sintering

This investigation aimed to synthesize an iron (Fe)-tin (Sn) intermetallic compound (FeSn2) by using a two-step process of mechanical alloying (MA) and liquid phase sintering (LPS). We demonstrated experimentally that this process was able to produce the FeSn2 intermetallic compound. Two different mechanical alloying procedures for producing mechanically alloyed Fe-Sn powders were explored. In the first, mixtures of as-recieved Fe and Sn powders were mechanically alloyed. In the second, the as-received Fe powder was pre-milled first and the as-received Sn powder was then added and mechanically alloyed. Under the same liquid phase sintering conditions, the sintered materials produced via the first mechanical alloying procedure showed that the FeSn2 content increased with increasing sintering time and left small traces of unreacted Fe and Sn materials. In the sintered materials produced via the second mechanical alloying procedure, only the FeSn2 phase was observed for all sintering times. The two-step process using the second mechanical alloying procedure performed better; it synthesized more of the FeSn2 intermetallic compound.