Miracle-dz/UniFAR-FTUs huggingface dataset:
Non-ionizing electromagnetic radiation effects on the action potential in human arm electrical model

The common use of Global System for Mobile Communications (GSM) phones has initiated research regarding the possible biological hazardous effects of exposure to electromagnetic (EM) radiation. Therefore, it is essential to study the extent of interaction of GSM phone radiation towards action potentials (AP) in nerve fibres. In order to investigate the effects of GSM phone radiation towards human arm AP, human brain-arm nerve fibres were modeled as wire-type transmission lines; two wires and one wire. Both models with and without interference source from the radiation were simulated and the output waveforms have been analysed to detect any existence of interference. The interference source value was obtained by finding electric and magnetic fields in nerve layer of simulated human arm model that been exposed by GSM phone radiation. Robotic arm experiment setup was developed to measure effects of the radiation towards the electrical signal of robotic arm as indirect comparison to AP. Simulation results show the radiation is capable of disturbing the normal AP by introducing bursting spikes on it when distance of the phone from the human arm model is 9 mm with phone radiation power as low as 0.02 W. Furthermore, large nerve fibre radius with huge exposure area to the EM waves also adds on to the effect of radiation on the AP. The altered AP might disturb the normal functions of human arm and hence lead to potential health hazard. The robotic arm has shown displacement from 0.2 cm to 1 cm from the original location when placing an object to its required place when there are active GSM phones near the robotic setup. The measured electrical signal of the robotic arm shows brief distortion in its signal with distortion magnitude up to 0.58 V. This distortion observation is quite similar to the AP when there is induced source in the nerve fibre models. In conclusion, there are significance effects of EM radiation towards the AP in human nervous system.
EXTENT AND EFFECTIVENESS OF KMS AS AN EFFECTIVE MEANS OF FOSTERING SYSTEMATIC TRANFORMATION WITHIN MULTINATIONAL: AN EXPLORATION AND ANALYSIS OF KMS IMPLEMENTATION PROCESS

This paper portrayed a Knowledge Management System implementation process within multinational companies and its effectiveness towards problem solving method which accelerates the growth of the companies. In the process of KMS, technology and cultural along with information driven appreciations are absolutely needed to make the whole course of action faster and efficient. Though companies are communicating locally as well as overseas clients through email, cc-mail and voice service but these approaches are lengthy and not effective to share information among clients. Sometimes it goes to the wrong persons and reading an email it takes an hour. So in order to solve the existing problems and make faster and proficient communication process smart and intelligent agents able to assists effectively because it helps to create information archive, categorized data and able to continue collective learning process to provide better services to the clients. In this process ‘Team Room Application’ is the best example on its archetypal is based on integration, collaboration, transaction and expert model of communications where accessibility of knowledge becomes easier and helps to take more rapid and effectual decision to achieve the professional and wellorganized knowledge work. In this regard, this paper tried to analyze effectiveness of Knowledge Management System within different types of companies in view of four Knowledge Management strategy frameworks and implementation of effective ‘Team Room Application’.
The impact of the quality of life perception on the self-esteem of physically active adults

This study aimed at investigating the impact of the quality of life perception on the self-esteem of physically active adults. A total of 63 male and female swimming practitioners (38.13 ± 11.72) were evaluated. A socio-demographic questionnaire, WHOQOL-Bref Scale, and the Rosenberg Self-Esteem Scale were used as tools. For data analysis the descriptive statistics, Kolmogorov-Smirnov Test, Mann-Whitney U Test, Spearman’s Rank Correlation Coefficient, and the Univariate Multiple Regression were used. No significant differences were found either for the quality of life or the self-esteem between sexes; there was a significant positive correlation (p < 0.05) among the physical (r = 0.37), psychological (r = 0.36) and environmental (r = 0.30) domains with self-esteem. The regression model explained 20% of the self-esteem variability, with moderate and significant pathways of the physical (β = 0.23) and psychological (β = 0.23) domains, whereas the environmental domain did not show a significant predictive relation (p = 0.988) with self-esteem. It is concluded that a higher quality of life perception may result in a higher self-esteem for physically active adults.
Cultural and Morphological Variability and Identification of Anastomosis Group of Rhizoctonia solani (Thanatephorus cucumeris) Causing Sheath Blight of Rice in Kashmir

Rice (Oryza sativa L.) is the most important cereal crop of India. It is staple food crop of Jammu and Kashmir where it occupies 261.35 thousand hectare area with an annual production of 5001thousand tonnes in 2011 (Kaloo et al., 2014). Sheath blight of rice caused by Rizoctonia solani [Perfect stage: Thanatephorus cucumeris (Frank) Donk] is considered to be one of the most important diseases of rice occurring throughout the temperate and tropical rice production areas, being most prominent where rice is grown under intense, high fertility production system (Eizenga et al., 2002) and is now considered as most destructive disease of rice, next only to rice blast (Swain et al., 2005). Sheath blight of rice was first reported in India by Paracer and Chahal (1963), while from Kashmir it was reported by Mir (1986).
An eddy‐permitting coupled physical‐biological model of the North Atlantic: 2. Ecosystem dynamics and comparison with satellite and JGOFS local studies data

A model of biological production in the euphotic zone of the North Atlantic has been developed by coupling a Nitrate, Phytoplankton, Zooplankton, Detritus (NPZD) nitrogen‐based ecosystem model with an eddy‐permitting circulation model. The upper ocean physical and biological results are presented for an experiment with monthly climatological forcing. A comparison with satellite ocean color data shows that the model is capable of a realistic description of the main seasonal and regional patterns of surface chlorophyll. Agreement is also good for primary production except in the subtropical gyre where the model produces values more than an order of magnitude smaller than derived from satellite observations. In situ data available at Joint Global Ocean Flux Study (JGOFS) time series and local study sites (Bermuda Atlantic Time‐series Study (BATS), 32°N, 65°W; North Atlantic Bloom Experiment (NABE), 47°N, 2O°W; EUMELI oligotrophic, 21°N, 31°W) are used for a more detailed analysis of the model's capability to simultaneously reproduce seasonal ecosystem dynamics in different biological provinces of the North Atlantic Ocean. The seasonal cycle of phytoplankton biomass and nitrate is simulated quite realistically at all sites. Main discrepancies between model and observations are a large zooplankton peak, required by the model to end the phytoplankton spring bloom at the 47°N, 20°W site, and the underestimation of primary production at EUMELI and under oligotrophic summer conditions at BATS. The former model deficiency can be related to the neglect of phytoplankton aggregation; the latter is caused by too inefficient recycling of nutrients within the euphotic zone. Model improvements are suggested for further steps toward a realistic basin‐wide multiprovinces simulation with a single ecosystem model.
Genetic analyses of Turkish watermelons based on SRAP markers

Genetic studies of watermelons (Citrullus lanatus (Thunb.) Matsum. & Nakai) sampled from Turkey, the second leading producer, may provide valuable information for breeding and research programs. The objectives of this study were to estimate the level of genetic diversity, population structure, and optimum genome sampling size among the Turkish and several introduced watermelons. From the collection, 256 watermelon lines representing all watermelon-growing areas of Turkey along with two accessions of a related genus (Praecitrullus fistulosus (Stocks) Pangalo) and a few popular cultivars were genotyped using sequence-related amplified polymorphism (SRAP) markers. Twenty-seven primers generated 210 molecular markers for genetic analyses. The unweighted pair group method with arithmetic average analysis produced no clear-cut pattern, while principal component analysis indicated three subgroups among the lines studied. They had a narrow genetic base within C. lanatus var. lanatus and were mostly distinguished from each other. Model-based structure analysis indicated that the number of subpopulations in watermelons was four. Among the 258 lines, only 20% (51 lines) had 0.80 or greater membership coefficients to one subpopulation, and therefore were not admixed. The remaining 207 were admixed by at least two subpopulations. The similarity matrix of genome sampling size of 40 randomly selected markers was highly correlated (r = 0.915) with the matrix of simple matching coefficients based on 100 markers, implying that 40 markers were detected to be sufficient for this species. Overall, this study concluded that the majority of the Turkish watermelons were distinguished from each other, difficult to classify, and admixed, with narrow genetic variation.
Minimum spanning trees across dense cities

Consider~\(n\) nodes distributed independently across~\(N\) cities contained with the unit square~\(S\) according to a distribution~\(f.\) Each city is modelled as an~\(r_n \times r_n\) square contained within~\(S\) and~\(MSTC_n\) denotes the length of the minimum spanning tree containing all the~\(n\) nodes. We use approximation methods to obtain variance estimates for~\(MSTC_n\) and prove that if the cities are well-connected and densely populated in a certain sense, then~\(MSTC_n\) appropriately centred and scaled converges to zero in probability. Using the proof techniques, we alternately derive corresponding results for the length~\(MST_n\) of the minimum spanning tree for the usual case when the nodes are independently distributed throughout the unit square~\(S.\) In particular, we obtain that the variance of~\(MST_n\) grows at most as a power of the logarithm of~\(n\) and use a subsequence argument to get almost sure convergence of~\(MST_n\) appropriately centred and scaled.
Differentiation and Performance: An Empirical Investigation on the Incentive Effects of Bonus Plans

It is often claimed that supervisors do not differentiate enough between high and low performing employees when evaluating performance. The purpose of this paper is to study the incentive effects of this behavior empirically. We first show in a simple model that the perceived degree of past differentiation affects future incentives. We then study the impact of differentiation empirically with a large panel data set spanning many firms in one industry. On average, stronger differentiation has a substantial positive effect on performance. This effect is larger on higher hierarchical levels. But differentiation may become harmful at the lowest levels.
Extended edge silhouette detection algorithm to create real-time shadow volume

A new algorithm to recognize occluder silhouette to generate shadow volume with some improvement of the traditional shadow volume algorithm is proposed. We named the new algorithm as Extended Edge Silhouette Detection (EESD). Silhouette detection is one of the expensive processes of shadow volumes. The triangular algorithm and visible-non-visible algorithm that are famous algorithms to detect the outline of occluder are renewed. An accurate comparison between these algorithms and a new algorithm has been done. The algorithm is to detect silhouette and decreases the cost of implementation of shadow volume. The obtained results confirm superiority of the proposed algorithm in terms of processing time compared to the previously used traditional algorithms. The last shadow volume algorithm using stencil buffer is rewritten and an algorithm for shadow volume with silhouette detection together is proposed.
Combination of Spatial Filtering and Adaptive Wavelet Thresholding for Image Denoising

Thresholding in wavelet domain has proven very high performances in image denoising and particularly for homogeneous ones. Conversely, and in cases of relatively non-homogeneous scenes, it often induces the loss of some true coefficients; inducing so, to smoothing the details and the different features of the thresholded image. Therefore, and in order to overcome this shortcoming, we introduce within this paper a new alternative made by a combination of advantages of both spatial filtering and wavelet thresholding; that ensures well removing the noise effect while preserving the different features of the considered image. First, the degraded image is decomposed into wavelet coefficients via a 2-level 2D-DWT. Then, the finest detail sub-bands likely due to noise, are thresholded in order to maximally cancel the noise contribution. The remaining noise shared across the coarse detail subbands (LH2, HL2, and HH2) is cleaned by filtering these mentioned sub-bands via an adaptive wiener filter instead of thresholding them; avoiding so smoothing the acquired image. Finally, a joint bilateral filter (JBF) is applied to ensure the preservation of the different image features. Experimental results show notable performances of our new proposed scheme compared to the recent state-of-the-art schemes visually and in terms of (MSE), (PSNR) and correlation coefficient.
Exchange-mediated dynamic screening in the integer quantum Hall effect regime

We study many-body interaction effects in the spatially resolved filling factor (ν) distribution for higher Landau levels (LLs) via self-consistent Hartree-Fock simulations in the integer quantum Hall (IQH) regime. Our results indicate a strong, interaction-induced tendency to avoid the simultaneous existence of partially filled spin-up and spin-down LLs. Rather, we find that such partially filled LLs consist of coexisting regions of full and empty LLs. At the boundaries between the regions of full and empty LLs, we observe edge stripes of nearly constant ν close to half-filling. This suggests that the exchange interaction induces a behavior similar to a Hund's rule for the occupation of the spin split LLs. The screening of the disorder and edge potential appears significantly reduced as compared to static Thomas-Fermi screening (Chklovskii D. B. et al., Phys. Rev. B, 46 (1992) 4026). Our results are consistent with a local, lateral ν-dependence of the exchange-enhanced spin splitting. Hence, on quantum-coherent length scales as probed here, the electron system of the IQH effect behaves similarly to a non-interacting single particle system —not because of the absence, but rather due to the dominance of many-body effects.
Evaluation of health status of pre-menarcheal and post-menarcheal girls by Rohrer index in Purulia,

Undernutrition in children and adolescents is a major problem in India. Age at menarche is a significant indicator of growth in girls. The present study records age at menarche, prevalence of under nutrition measured by Rohrer Index in both pre-menarcheal (n=107) as well as post-menarcheal (n = 131) girls (n = 238) aged 6.01 to 14.63 years. In this cross-sectional study, mean age at menarche is estimated to be 12.60 years. The comparative statements between these two sections indicate significant difference in height, weight and Rohrer Index. This Index indicates very high prevalence of low health profiles of the girls.
Chapter 2 Recognition of Eye Characteristics

This chapter deals with the recognition of features contained within the human eye, namely the iris and retina. The great advantage is that both the iris and retina contain a large amount of information, that is, they can be used for a larger group of users. The disadvantage, on the other hand, is the fear from users in regard to possible eye injury. Both of these features cannot be easily acquired and misused to cheat a biometric system. This chapter also explains how to capture and process these two biometric characteristics. However, the number of biometric industrial solutions dealing with retina recognition is very limited—it is practically not possible to find an available biometric device for identity recognition on the market based on this biometric characteristic.
Building a Bidirectional English-Vietnamese Statistical Machine Translation System by Using MOSES

In this paper, we describe an attempt at constructing a bidirectional English-Vietnamese statistical machine translation system using MOSES, an open-source toolkit for statistical machine translation. The quality of a statistical machine translation system depends on the bilingual sentence alignment data called parallel corpus. However, Vietnamese is an under-resourced language that is largely left out of initial corpus building efforts. Therefore, we concentrate on building Vietnamese corpora which consist over 880,000 English-Vietnamese sentence pairs and over 11,000,000 Vietnamese monolingual sentences to train the statistical translation model and the language model respectively. According to the obtained BLEU scores, the proposed system outperforms the Google translator and the Microsoft Bing translator in both English to Vietnamese and Vietnamese to English translating.
Rapporti di Autovalutazione e Piani di Miglioramento: analisi e mappatura dei bisogni di formazione della Scuola pugliese. Primi step di una ricerca documentativa

Gli esiti di una ricerca-formazione collaborativa – UNIBA-USR Puglia, finalizzata ad individuare le direttrici di sviluppo della Scuola pugliese attraverso una mappatura delle documentazioni valutative (Rapporti di Autovalutazione e Piani di Miglioramento) degli istituti scolastici di ogni ordine e grado (679 in totale) – hanno mostrato l’urgenza di uniformare le modellistiche e gli strumenti per l’autovalutazione e il miglioramento delle scuole. Al termine dell’indagine il gruppo DidaSco (Didattiche Scolastiche) ha avviato un percorso di accompagnamento di ungruppo di 80 scuole pugliesi per provare a progettare un nuovo e piu efficace format PdM. Si presenta il nuovo modello di PdM DidaSco, attualmente in fase di sperimentazione/ attuazione nelle scuole di Puglia.
The efficiency analysis of the object oriented realization of the client - server systems based on the CORBA standard

The aim of this work was to analyze the cooperation efficiency of the distributed objects based on the CORBA standard. The obtained results show the possibilities of application to the object-relational databases or object oriented computation of data received via the network from the object managed data base. The distributed objects for the client-server model were implemented in Java and C++ languages. All possible configurations of the implementation for the client and the server were analyzed. Best results were received for the client and the server implementation in C++ language. The worst results were received for the client and the server implementation in Java.
Mobilization of Personal Savings Among Microfinance-Participating Households: A Survey in West Bengal, India

This paper attempts to assess whether participation in a microfinance program helps households generate personal savings, as distinct from savings through compulsory contributions to the program. We consider a microfinance program initiated by the Government of India (the SGSY scheme),which is operated under a joint liability credit system that requires formation of Self-Help Groups (SHG). The empirical design relies on two samples of respondents: a “treatment group” of households participating in the microfinance program and a “control group” of non-participating households of similar characteristics. Using data collected at two points in time (April-July 2004baseline and September-December 2009 endline), we show that although income increases more in treatment-group households, the increase in personal savings of the microfinance-participating households over the study period is less than for the non-participating households.
Accelerated reductions of cortical thickness in never treated schizophrenia patients with disease duration over 5 years

Poster: "ECR 2015 / C-1927 / Accelerated reductions of cortical thickness in never treated schizophrenia patients with disease duration over 5 years" by: "W. Zhang1, W. Deng1, L. Yao1, Y. Xiao1, F. Li1, J. Liu1, J. Sweeney2, Q. Gong1, S. Lui1; 1Chengdu/CN, 2Dallas, TX/US"
Carbon monoxide and related trace gases and aerosols over the Amazon Basin during the wet and dry seasons

Abstract. We present the results of airborne measurements of carbon monoxide (CO) and aerosol particle number concentration (CN) made during the Balanco Atmosferico Regional de Carbono na Amazonia (BARCA) program. The primary goal of BARCA is to address the question of basin-scale sources and sinks of CO2 and other atmospheric carbon species, a central issue of the Large-scale Biosphere-Atmosphere (LBA) program. The experiment consisted of two aircraft campaigns during November–December 2008 (BARCA-A) and May–June 2009 (BARCA-B), which covered the altitude range from the surface up to about 4500 m, and spanned most of the Amazon Basin. Based on meteorological analysis and measurements of the tracer, SF6, we found that airmasses over the Amazon Basin during the late dry season (BARCA-A, November 2008) originated predominantly from the Southern Hemisphere, while during the late wet season (BARCA-B, May 2009) low-level airmasses were dominated by northern-hemispheric inflow and mid-tropospheric airmasses were of mixed origin. In BARCA-A we found strong influence of biomass burning emissions on the composition of the atmosphere over much of the Amazon Basin, with CO enhancements up to 300 ppb and CN concentrations approaching 10 000 cm−3; the highest values were in the southern part of the Basin at altitudes of 1–3 km. The ΔCN/ΔCO ratios were diagnostic for biomass burning emissions, and were lower in aged than in fresh smoke. Fresh emissions indicated CO/CO2 and CN/CO emission ratios in good agreement with previous work, but our results also highlight the need to consider the residual smoldering combustion that takes place after the active flaming phase of deforestation fires. During the late wet season, in contrast, there was little evidence for a significant presence of biomass smoke. Low CN concentrations (300–500 cm−3) prevailed basinwide, and CO mixing ratios were enhanced by only ~10 ppb above the mixing line between Northern and Southern Hemisphere air. There was no detectable trend in CO with distance from the coast, but there was a small enhancement of CO in the boundary layer suggesting diffuse biogenic sources from photochemical degradation of biogenic volatile organic compounds or direct biological emission. Simulations of CO distributions during BARCA-A using a range of models yielded general agreement in spatial distribution and confirm the important contribution from biomass burning emissions, but the models evidence some systematic quantitative differences compared to observed CO concentrations. These mismatches appear to be related to problems with the accuracy of the global background fields, the role of vertical transport and biomass smoke injection height, the choice of model resolution, and reliability and temporal resolution of the emissions data base.