Miracle-dz/UniFAR-FTUs huggingface dataset:
Commercialization Methods of a New Product/service in ICT Industry: Case of a Science & Technology Park

Abstract Purpose: Commercialization is a step toward new products/services development. Due to high rate of product/service failure in ICT industry, the purpose of this paper is to study and evaluate commercialization methods implemented by companies that operate within ICT industry at the Science and Technology Park of University of Tehran. Design/Methodology/Approach: The methodology of this study is of field research type. After examining commercialization methods presented in the literature and confirming methods found by the discipline elite, structured interviews were conducted addressed managers and experts of ICT companies. Results: Three methods of “joint research contracts”, “exhibitions” and “spin-offs” are among the most common commercialization methods used by companies. Conclusion: Due to uncertainties that exist in ICT industry, companies should consider different strategies in order to develop successful products and services. Finally, specific policies are determined to implement each commercialization method in knowledge-based companies.
Intraday Trading Invariance in the E-Mini S&P 500 Futures Market

The trading activity in the E-mini S&P 500 futures contract between January 2008 and September 2011 is consistent with the following high-frequency invariance relationship: The return variation per transaction is log-linearly related to trade size, with a slope coeffcient of -2. This association applies both in the time series and across a pronounced intraday pattern. The documented factor of proportionality deviates sharply from prior hypotheses relating volatility to trading intensity. High-frequency trading invariance is motivated a priori by the intuition that market microstructure invariance, introduced by Kyle and Obizhaeva (2016a) to explain bets at low frequencies, also applies to transactions over short intraday intervals. It raises the prospect of identifying periods of market stress in real time and poses intriguing challenges for market microstructure research.
Quasi optimal reconstruction algorithm based on the clipping for Gaussian processes

A quasi optimal reconstruction algorithm based on the clipping is analyzed for Sampling – Reconstruction Procedure of realizations that compose a Gaussian process. Clipping means that it knows just the zero crossings in the realization. To find out its effectiveness, it is compared with an optimal algorithm, which considers some samples of the realization located at strategic points. Results show that the quasi optimal algorithm does not give a correct reconstruction. Hence, it is necessary to include a new parameter within this methodology to improve the performance, mainly reflected in the reconstruction error. However, the quasi optimal algorithm is just an approximations to the optimal algorithm.
Research Online Research Online Dietary flavonoid intake and cognitive performance in older adults with Dietary flavonoid intake and cognitive performance in older adults with Alzheimer's type dementia Alzheimer's type dementia

Abstract Background:Background: Dietary flavonoid intake and intake of flavonoid subclasses has been associated with improved cognitive performance. However, the association between flavonoid intake and cognitive performance in older adults with Alzheimer's type dementia has not been investigated. Objectives:Objectives: To estimate dietary total flavonoid intake and intake of flavonoid subclasses in older adults with Alzheimer's type dementia and assess the relationship of flavonoid intake with measures of cognition. Design:Design: Cross sectional analysis. Setting: Community dwelling older adults in NSW, Australia. Participants:Participants: Older adults (+65y) with mild to moderate dementia (n=49). Measurements:Measurements: A 24h diet recall was collected with help from a carer and used to estimate flavonoid intake. A battery of cognitive tasks assessed cognitive performance of several cognitive domains. Results:Results: Pearson and spearman correlation coefficients identified an association between flavonoid intake and executive function (r=0.319, p=0.025). After controlling for depression, the relationship was reduced. Conclusion:Conclusion: The identified association between cognitive functioning, depression and flavonoid intake in older adults with Alzheimer's type dementia warrants further research in a larger sample. Abstract: Background: Dietary flavonoid intake and intake of flavonoid subclasses has been associated with improved cognitive performance. However, the association between flavonoid intake and cognitive performance in older adults with Alzheimer’s type dementia has not been investigated. Objectives: To estimate dietary total flavonoid intake and intake of flavonoid subclasses in older adults with Alzheimer’s type dementia and assess the relationship of flavonoid intake with measures of cognition. Design: Cross sectional analysis. Setting: Community dwelling older adults in NSW, Australia. Participants: Older adults (+65y) with mild to moderate dementia (n=49). Measurements: A 24h diet recall was collected with help from a carer and used to estimate flavonoid intake. A battery of cognitive tasks assessed cognitive performance of several cognitive domains. Results: Pearson and spearman correlation coefficients identified an association between flavonoid intake and executive function (r=0.319, p=0.025). After controlling for depression, the relationship was reduced. Conclusion: The identified association between cognitive functioning, depression and flavonoid intake in older adults with Alzheimer’s type dementia warrants further research in a larger sample.
Comparative analysis of clustering of spatial databases with various DBSCAN Algorithms

Clustering is still an important research issue in thedata mining, because there is a continuous research indata mining for optimum clusters on spatial data.There are so many types of partition based andhierarchal algorithms implemented for clustering andthe clusters which are formed based on the densityare easy to understand and it does not limit itself tocertain shapes of the clusters. This paper presents thecomparative analysis of the various density basedclustering mechanisms. There is certain problem onexisting density based algorithms because they arenot capable of finding the meaningful clusterswhenever the density is so much varied. VDBSCANis introduced to compensate this problem. It is sameas DBSCAN (Density Based Spatial Clustering ofApplications with Noise) but only the difference isVDBSCAN selects several values of parameter Epsfor different densities according to k-dist plot. Theproblem is the value of parameter k in k-dist plot isuser defined. This paper introduces a new method tofind out the value of parameter k automatically basedon the characteristics of the datasets. In this methodwe consider spatial distance from a point to all otherspoints in the datasets. The proposed method haspotential to find out optimal value for parameter k . Inthis paper a synthetic database with two dimensionaldata is used for demonstration.
Multi-sensor Aerosol Products Sampling System (MAPSS)

Abstract. Global and local properties of atmospheric aerosols have been extensively observed and measured using both spaceborne and ground-based instruments, especially during the last decade. Unique properties retrieved by the different instruments contribute to an unprecedented availability of the most complete set of complimentary aerosol measurements ever acquired. However, some of these measurements remain underutilized, largely due to the complexities involved in analyzing them synergistically. To characterize the inconsistencies and bridge the gap that exists between the sensors, we have established a Multi-sensor Aerosol Products Sampling System (MAPSS), which consistently samples and generates the spatial statistics (mean, standard deviation, direction and rate of spatial variation, and spatial correlation coefficient) of aerosol products from multiple spaceborne sensors, including MODIS (on Terra and Aqua), MISR, OMI, POLDER, CALIOP, and SeaWiFS. Samples of satellite aerosol products are extracted over Aerosol Robotic Network (AERONET) locations as well as over other locations of interest such as those with available ground-based aerosol observations. In this way, MAPSS enables a direct cross-characterization and data integration between Level-2 aerosol observations from multiple sensors. In addition, the available well-characterized co-located ground-based data provides the basis for the integrated validation of these products. This paper explains the sampling methodology and concepts used in MAPSS, and demonstrates specific examples of using MAPSS for an integrated analysis of multiple aerosol products.
Numerical investigation of isolated filament motion in a realistic tokamak geometry

This paper presents a numerical investigation of isolated filament dynamics in a simulation geometry representative of the scrape-off layer (SOL) of the Mega Amp Spherical Tokamak (MAST) previously studied in Walkden et al 2013 (Plasma Phys. Control. Fusion 55 105005). This paper focuses on the evolution of filament cross-sections at the outboard midplane and investigates the scaling of the centre of mass velocity of the filament cross-section with filament width and electron temperature. By decoupling the vorticity equation into even and odd parity components about the centre of the filament in the bi-normal direction parallel density gradients are shown to drive large velocities in the bi-normal (approximately poloidal) direction which scale linearly with electron temperature. In this respect increasing the electron temperature causes a departure of the filament dynamics from two-dimensional (2D) behaviours. Despite the strong impact of three-dimensional effects the radial motion of the filament is shown to be relatively well predicted by 2D scalings. The radial velocity is found to scale positively with both electron temperature and cross-sectional width, suggesting an inertially limited nature. Comparison with the two-region model (Myra et al 2006 Phys. Plasmas 13 112502) achieves reasonable agreement when using a corrected parallel connection length due to the neglect of diamagnetic currents driven in the divertor region of the filament. Analysis of the transport of particles due to the motion of the filament shows that the background temperature has a weak overall effect on the radial particle flux whilst the filament width has a strong effect.
Improved Watermarking Scheme Resistant to Print-Scan

Abstract Based on the existing text digital watermarking algorithm which has a strong resistance to print and scan process, this paper proposed an improved watermarking algorithm. We show that the detection reliability can be significantly improved by applying error correlation and image preprocessing. Noise removal and document skew detection are two key techniques of image preprocessing. Finally, the improvements predicted by the theory are verified in a number of experiments. Robustness analysis shows the proposed scheme has several advantages. First, the existing scheme is more secure. Second, it is more practical and can be applied in engineering.
INFRARED SPECTRAL ENERGY DISTRIBUTION DECOMPOSITION OF WISE-SELECTED, HYPERLUMINOUS HOT DUST-OBSCURED GALAXIES

We utilize a Bayesian approach to fit the observed mid-IR-to-submillimeter/millimeter spectral energy distributions (SEDs) of 22 WISE-selected and submillimeter-detected, hyperluminous hot dust-obscured galaxies (Hot DOGs), with spectroscopic redshift ranging from 1.7 to 4.6. We compare the Bayesian evidence of a torus plusgraybody (Torus+GB) model with that of a torus-only (Torus) model and find that the Torus+GB model has higher Bayesian evidence for all 22 Hot DOGs than the torus-only model, which presents strong evidence in favor of the Torus+GB model. By adopting the Torus+GB model, we decompose the observed IR SEDs of Hot DOGs into torus and cold dust components. The main results are as follows. (1) Hot DOGs in our submillimeter-detected sample are hyperluminous ( ), with torus emission dominating the IR energy output. However, cold dust emission is non-negligible, contributing on average of total IR luminosity. (2) Compared to QSO and starburst SED templates, the median SED of Hot DOGs shows the highest luminosity ratio between mid-IR and submillimeter at rest frame, while it is very similar to that of QSOs at , suggesting that the heating sources of Hot DOGs should be buried AGNs. (3) Hot DOGs have high dust temperatures ( K) and high IR luminosity of cold dust. The relation of Hot DOGs suggests that the increase in IR luminosity for Hot DOGs is mostly due to the increase of the dust temperature, rather than dust mass. Hot DOGs have lower dust masses than submillimeter galaxies (SMGs) and QSOs within a similar redshift range. Both high IR luminosity of cold dust and relatively low dust mass in Hot DOGs can be expected by their relatively high dust temperatures. (4) Hot DOGs have high dust-covering factors (CFs), which deviate from the previously proposed trend of the dust CF decreasing with increasing bolometric luminosity. Finally, we can reproduce the observed properties in Hot DOGs by employing a physical model of galaxy evolution. This result suggests that Hot DOGs may lie at or close to peaks of both star formation and black hole growth histories, and represent a transit phase during the evolutions of massive galaxies, transforming them from the dusty starburst-dominated phase to the optically bright QSO phase.
Income Inequality, Poverty and Food Security in West Bengal, India

The paper intends to study the nature of income inequalities, food security and poverty among different sub-groups of population in West Bengal, India. It has been found that inequalities in terms of share of total income and population exist both in case of agricultural and non-agricultural income irrespective of sub-groups. The contribution of agricultural income in the income profile is less than that of non-agricultural income which exhibits the deplorable condition of agriculture and thereby the non-agricultural sector has an immense scope for reduction of income inequality even the fact remains that about 65 per cent of the rural population engages in agriculture. The study observed that so far as food security is concerned, though India achieved self-sufficiency in food grain production since 1970s, the achievement did not percolate down to masses. These deprivations are very acute with differentiated degrees of severity in almost all sub-groups except medium farms. Inequality in income is much higher than that of food insecurity in all sub-groups which is in conformity with Engeli¯s Law. While comparing the depth of food insecurity with poverty, it reveals that though the severity of poverty as well as food insecurity is highest in small farms, but these two do not keeping same connotations for the marginal and landless households. Hence it comes to the consequence that the severity of food insecurity not only depends on the severity of poverty but on some other factors too.
Reliability and Validity of the Modified Differential Emotions Scale (mDES) in a Greek Sample

Positive psychology focuses on the beneficial effects of positive variables in human health. Research on positive emotions has increased vastly over the last years due to the role that these variables play on psychological health. In order to cope with the increasing need for positive emotions measurement, Izard’s (1977) Differential Emotions Scale (DES) was modified by Fredrickson so as to include a far wider set of positive emotions and to assist scientific research. The present study examines the psychometric qualities of the mDES in a sample of 11,422 Greek adults aging from 18 to 83 years old. Results showed satisfactory reliability levels on both subscales of the test. Factor analysis revealed a three-component solution in contrast to the two-component solution as proposed by the original standardization study. The difference in the factorial structure does not inhibit positive and negative emotions subscale scoring and may be attributed to cultural elements in the Greek population. Further implications are discussed.
LIMIT CYCLES OF A POPULATION DYNAMICS MODEL

In this paper, using the global bifurcation theory, we complete the qualitative analysis of a quartic dynamical system which models the dynamics of the populations of predators and their prey that use the group defense strategy in a given ecological system. In particular, we prove that such a system can have at most two limit cycles.
Prevalência de síndrome metabólica em metalúrgicos de diferentes turnos de trabalho Prevalence of metabolic syndrome in metallurgical workers from different shifts

Abstract Objective: To investigate the prevalence of metabolic syndrome in workers from different shifts.Methods: The population consisted of 93 workers, divided into: first shift (6:00 AM to 2:00 PM), second shift (2:00 PM to 10:00 PM), third shift (10:00 PM to 6:00 AM) and productive shift in administrative hours (7:30 AM to 5:00 PM). The components of the metabolic syndrome were obtained by blood collection in a 12 hour fasting and anthropometric measurements, through the NCEP-ATP III criteria.Results: Seventy two percent were male, aged between 33 and 38 years. Metabolic syndrome was diagnosed in 26.8% of the sample. The highest prevalence occurred among first shift workers (p<0.000). The HDL-cholesterol, fasting glucose and triglycerides changes were higher in the first shift. There was difference in body weight, body mass index and chronotype (p=0.000), among working shifts.Conclusion: The prevalence of metabolic syndrome was higher among first shift workers. Descritores Sindrome X metabolica; Enfermagem do trabalho; Enfermagem em saude publica; Trabalho em turnos; Saude do trabalhador
Inoculation of a Poultry Isolate Salmonella enteritidis on Egg Vitelline Membrane: Survival and Growth in Egg Components after Different Refrigeration Storage Times

An in vitro study was designed to determine the extent of Salmonella enterica serovar enteritidis survival and growth permissiveness in egg components isolated from shell eggs held at refrigeration temperature over an 8 week time period. Eggs were collected from a commercial laying facility at one-week intervals for eight weeks and stored at refrigeration temperature. After storage, eggs were dipped in ethanol, cracked aseptically and separated into yolk and albumen samples. S. enteritidis resistant to novobiocin and nalidixic acid were inoculated on to the surface of the yolk membrane at a concentration of approximately 10 6 CFU mL¯ 1 . Yolks were then covered with albumen and incubated for 24 hrs at 25oC. After incubation, eggs were separated into component parts. Samples were removed from yolk, albumen and yolk membrane and diluted 10-fold in sterile phosphate buffered saline. In albumen, S. enteritidis counts were increased in weeks 3 and 8 compared to week 1 (trial 2). The frequency of eggs exhibiting net growth of S. enteritidis in albumen occurred at week 7 versus weeks 0 and 1 in trial 1 and weeks 3 and 8 versus weeks 0 and 2 in trial 2. In the membrane fraction, the frequency of eggs exhibiting net growth of S. enteritidis occurred at weeks 5 and 8 versus week 0 in trial 2. In the yolk fractions, S. enteritidis counts recovered from week 6 eggs were significantly higher (P<0.05) than those of weeks 0, 2, 3 and 7 (trial 2) and the number of detectable S. enteritidis positive eggs were greater in week 8 than week 5 in trial 1. This suggests that egg components recovered from aged eggs stored at refrigeration temperatures infrequently supported S. enteritidis net growth but generally did not inhibit survivability.
Context Awareness in Communication around Fall Handling with PERS

Assuring timely intervention after falls is important to enable older adults to live independently for a longer time. There are two strategies where technology could assist timely intervention: 1) automated fall detection and 2) handling of falls the process of sending help to a fall victim using a personal emergency response system (PERS). This paper presents first insights on using sensors not only on the patient’s side but also on the caregiver side. We present the results of two studies that were part of a more encompassing approach to improve fall handling and draw conclusions based on these results. The first study investigated the willingness of informal caregivers to (automatically) share information that can influence timely fall handling. Based on the results, a prototype of a fall handling system was made. The second study evaluated the prototype with the different types of users that would use this system. Results indicate that while the envisioned users were in general open to context-aware fall handling, fall-back scenarios need to be present because the needed technology may not be available to all users at the same time and some people might not be able or willing to use the technology.
Compression of Temporal Video Data by Catmull-Rom Spline and Quadratic Bézier Curve Fitting

This paper presents a new method for lossy compression of temporal data of both naturally recorded and synthetically created videos by Catmull-Rom spline and quadratic Bezier curve fitting. The proposed method approximates the luminance or color variations in a sequence of frames by spline fitting in Euclidean space. Precise control of accuracy at pixel level is achieved by a specified tolerance of error. A break and fit criterion is employed to minimize the number of curve segments required to fit the data. Experimental results show that the described method yields very good results, both in terms of objective and subjective quality measurement, i.e., bit-rate/PSNR and human visual acceptance, without causing any blocking artifacts.
Dipolar Tree Ensemble With and Without Adjustment to Competing Risks: Application to Medical Data

Abstract The analysis of survival data often aims at the prediction of failure time distribution. In cases of competing risk events, the time distributions of more than one failure are under investigation. In this paper, the comparison of two approaches to analyzing survival data with competing risks is presented. The analyses are performed by use of an ensemble of dipolar trees with and without adjustment to competing risks.
David J. Benney: Nonlinear Wave and Instability Processes in Fluid Flows

David J. Benney (1930–2015) was an applied mathematician and fluid dynamicist whose highly original work has shaped our understanding of nonlinear wave and instability processes in fluid flows. This article discusses the new paradigm he pioneered in the study of nonlinear phenomena, which transcends fluid mechanics, and it highlights the common threads of his research contributions, namely, resonant nonlinear wave interactions; the derivation of nonlinear evolution equations, including the celebrated nonlinear Schrödinger equation for modulated wave trains; and the significance of three-dimensional disturbances in shear flow instability and transition.