Miracle-dz/UniFAR-FTUs huggingface dataset:
Data science: an emerging discipline

The role of data scientist has been described as the “sexiest job of the 21st Century”. While possibly there is a degree of hype associated with such a claim, there are factors at play such as the unprecedented growth in the amount of data being generated. This paper characterises the already established disciplines which underpin data science, viz., data engineering, statistics, and data mining. Following a characterisation of the previous fields, data science is found to be most closely related to data mining. However, in contrast to data mining, data science promises to operate over datasets that exhibit significant challenges in terms of the four Vs: Volume, Variety, Velocity and Veracity. This paper notes that the current emphasis, both in industry and academia, is on the first three Vs, which pose mainly scientific or technological challenges, rather than Veracity, which is a truly scientific (and arguably a more complex) challenge. Data Science can be seen to have a more ambitious objective than what traditionally data mining has: as a science, data science aims to lead to the creation of new theories and knowledge. This paper notes that, ironically, the veracity dimension, which is arguably the closest one relating to this objective, is being neglected. Despite the current media frenzy about data science, the paper concludes that more time is needed to see whether it will emerge as discipline in its own right.
The impact of Strategic Trades on Future IVOL , Liquidity Risk , and Liquidity Commonality

Two unique factors are developed, intended to explore their predictive capability on idiosyncratic volatility, liquidity risk, and liquidity commonality. The factors measure whether a given investor type implements a “positive feedback” or a “contrarian” investment strategy in a given stock on month t in the Korean stock market. We find that the first factor increases, and the second reduces the following month’s idiosyncratic volatility. Liquidity risk is driven by the positive feedback trades of foreigners and institutional investors. Liquidity commonality is mitigated by the contrarian trades of local individuals. Thus, investors’ persistent trading strategies appear to be demand-side predictors of those variables.
The 33 rd International Workshop on Water Waves and Floating Bodies Large time behaviour of the ice cover caused by a load moving along a frozen channel

Unsteady response of an ice cover in a channel with vertical walls is studied for large times. The ice deflection is caused by a load moving along the frozen channel at a constant speed. Viscous damping of waves generated by the load and propagating along the channel is not taken into account. Viscous effects are important for the ice deflection. However, viscous damping is not well understood and its modelling is not well established. Models of ice response without damping are less physical, however, they may provide helpful estimates of maximum strains and bearing capacity of the ice cover. Such estimates are known for loads moving on the ice cover of infinite extent. In this paper, estimates of strains and deflections are obtained for a load moving along a frozen channel with vertical side walls.
Osteoarthritis Patients ’ Synovium IL-7 R Expression and Value Research of Its Clinical Diagnosis

Objective: To discuss the expression of IL-7R genes in the synovium of osteoarthritis (OA) patients and the value of its clinical significance. Methods: Forty-one patients who had total knee arthroplasty were selected for the OA group, from the Department of Orthopaedics in our hospital, and 36 patients who had arthroscopic surgery because of meniscus injury and cruciate ligament injury were selected for the control group. Fresh synovial tissues were collected for gene-chip analysis, real-time quantitative polymerase chain reaction (PCR) detection, haematoxylin-eosin (HE) staining experiment, immunohistochemistry experiment and detection of IL-7R gene expression. Comparison was made between the results of these two groups. Results: The results of gene-chips and real-time PCR detection showed that the expression of IL-7R in OA synovial tissues in the knees was lower than that in the normal synovial tissues in the knees. The statistical analysis of IL-7R mRNA showed that the expression of IL-7R mRNA in OA synovial tissues in the knees (0.13 ± 0.55) was lower than that in the normal synovial tissues in the knees (0.93 ± 0.12, p = 0.001). The result of HE staining showed that synovial tissues in the OA group had something similar to papillary hyperplasia and thickening. Immunohistochemistry research showed that IL-7R expression mainly existed in the cytoplasm of synovial tissues in the knees and the expression of IL-7R in OA synovial tissues was lower than that in the normal synovial tissues. Conclusion: IL-7R expression existed both in the normal synovial tissues in the knees and OA synovial tissues, but the latter was lower.
Improvement of Th 1 / Th 2 and Th 1 / Treg Imbalances by Adjutants CPG , MPLA and BCG in a Model of Acute Asthma Induced By Allergen Derp 2 in BALB / c Mice

Background: The imbalance in the T helper (Th) 1/Th2 and Th1/T regulatory (Treg) cells-related immune responses plays a key role in pathogenesis of allergic asthma. Objectives: The aim of this study was to evaluate the effects of CPG-Oligodeoxynucleotide (CPG-ODN), Monophosphoryl Lipid A (MPLA) and Bacillus Calmette-Guerin (BCG) on the ratio of Th1/Th2 and Th1/Treg cells-related parameters in an animal model of asthma. Methods: This was an experimental study in which female BALB/c mice were divided to five groups and then immunized Subcutaneously (SC) with the allergen Dermatophagoides pteronyssinus 2 (Derp2) on days 1, 15 and 22. Three groups of mice were considered as test groups and pre-treated SC with CPG, CPG + MPLA or CPG + BCG on days 0, 14 and 21. Two groups were also considered as saline-control group and Derp2-sensitized control group that were administrated only saline or allergen Derp2, respectively. The mice (except saline-control group) were challenged intranasally with allergen Derp2 for ten days, from days 28 to 37 of post immunization. Blood samples were obtained from retro-orbital sinus, on days 0, 23 and 40. The serum Interleukin (IL)-4, Interferon (IFN)-γ, Immunoglobulin (Ig) E and IgG2a levels were measured using the enzyme linked immunosorbent assay (ELISA) technique. The blood count of Th1and Treg cells was detected using flow cytometry. Results: At sensitization phase, the serum IFN-γ/IL4 ratio was significantly increased in Derp2-sensitized group pre-treated with CPG plus MPLA or CPG plus BCG as compared with Derp2-sensitized control mice (P < 0.002 and P < 0.003). The IFN-γ/IL4 ratio was also markedly elevated in Derp2-sensitized group pre-treated with CPG as compared with Derp2-sensitized control mice (P = 0.07). In the challenge phase, the IFN-γ/IL4, IgG2a/IgE and Th1/Treg ratios in Derp2-sensitized mice pre-treated with CPG plus MPLA were significantly higher than in Derp2-sensitized control mice (P < 0.003, P < 0.006 and P < 0.003, respectively). The IFN-γ/IL4 and Th1/Treg ratios were also significantly raised in Derp2-sensitized mice pre-treated with CPG plus BCG in comparison with Derp2sensitized control mice (P < 0.001 and P = 0.012, respectively). In the challenge phase the Th1/Treg ratio was significantly decreased in Derp2-sensitized group pre-treated with CPG plus BCG in comparison with Derp2-sensitized mice pre-treated with CPG (P = 0.011). The Th1/Treg ratio in Derp2-sensitized group pre-treated with CPG plus MPLA was significantly higher than in Derp2-sensitized mice pre-treated with CPG plus BCG (P < 0.035). Conclusions: These results showed that BCG, MPLA and CPG improve the Th1/Th2and Th1/Treg cells imbalances in a mouse model of asthma.
Chapter 9 Mathematical Foundations of Uncertain Field Visualization

Uncertain field visualization is currently a hot topic as can be seen by the overview in this book. This article discusses a mathematical foundation for this research. To this purpose, we define uncertain fields as stochastic processes. Since uncertain field data is usually given in the form of value distributions on a finite set of positions in the domain, we show for the popular case of Gaussian distributions that the usual interpolation functions in visualization lead to Gaussian processes in a natural way. It is our intention that these remarks stimulate visualization research by providing a solid mathematical foundation for the modeling of uncertainty.
Effect of Inclusion of n-3/ n-6 Fatty Acid Feed Sources in Diet on Fertility and Hatchability of Broiler

20 21 Objective: The present trial was conducted to determine the influence of different dietary fatty acid (omega-3 and 22 omega-6) sources on reproductive performance of female broiler breeders and growth performance and carcass traits 23 in progenies. 24 Methods: Two hundred and twenty, 25 weeks old Ross-308 male (20) and female (200) broiler breeders were used 25 in the experiment for the period of 6 weeks. All birds were randomly divided into four dietary treatments (containing 26 2% soybean oil, 2% sunflower oil, 2% flaxseed oil, and 2% fish oil) each with five replicates of one male and ten 27 females. Throughout this experiment hatching performance of broiler breeders, progeny growth performance and 28 carcass parameters were recorded. 29 Results: The results showed that the inclusion of different fatty acid sources in female broiler breeders diet had no 30 significant effects (P>0.05) on number of fertile eggs, post-hatch mortality, and fertility rate. The soybean oil 31 supplemented group had significantly (P<0.05) higher late embryonic mortality compared to other three treatments. 32 Conclusion: It was concluded that inclusion of 2% of different sources of omega-3 and omega-6 fatty acids 33 (especially 2% Flax seed oil) in broiler breeders’ diet can reduced late embryonic mortality. The other reproductive 34 characteristics of parents and growth and carcass characteristics of progenies remained unaltered by dietary sources 35 of omega-3 and omega-6 fatty acids. 36
A New Approach To Real Time Video Denoising using Temporal Video Slicing Frame Synchronization Technique

Videos are frequently corrupted by various types of noise either during their process of capturing or during their transmission from one point to another point. In this paper we propose a novel approach for an efficient and improved quality real time video denoising using Temporal Video Slicing and Second generation wavelet transform like Dual tree complex wavelet transform (DTCWT). The Temporal Video Slicing (TVS) technique extracts discrete frames from a noisy video which will undergoes a process by DTCWT framework. The denoised frames are passed to the output instantaneously. This process is continued until all frames are denoised. All the denoised frames are suitably buffered to display the denoised video. Here the major core processing blocks are Video to frame conversion , DTCWT framework and Denoising. Keywards: Frame synchronization, Temporal video slicing, Complex wavelet transform and Denoisng.
REŢELELE SOCIALE ONLINE ÎN CONTEXTUL BIG DATA

Online social networks are particularly important in the context of research on "big data" being important sources of information for various fields: social, political, economical, civic and educational. Social networks can provide significant benefits for the communication and relationships between users, as well as useful information for making predictions based on analysis of huge data flow generated by them. In this paper are presented several aspects of two components of present information technology, namely Online Social Networks and Big Data. In this regard, the first part is reserved for a brief introduction. The following sections present a summary of research relevant to social networking Web sites as sources of Big Data. The paper ends with conclusions and directions for future work.
Comparing Bayesian Methods for Estimating Parameters of Noisy Sinusoids

This paper deals with parameter estimation of sinusoids within a Bayesian framework, where inferences about parameters require an evaluation of complicated high dimensional integrals or a solution of multi-dimensional optimization. Unfortunately, it is not possible in general to derive analytical Bayesian inferences. Therefore, the purpose of this paper is to study some of existing stochastic procedures, based on different sampling schemes and to compare their performances with respect to Cramér-Rao lower bound (CRLB), defined to be a limit on the best possible performance achievable for a method given a dataset. Furthermore, all simulations support their effectiveness and demonstrate their performances in terms of CRLB for different lengths of data sampling and signal-to noise ratio (SNR) conditions. Keywords— Bayesian inference; parameter estimation; Gibbs sampling; simulated annealing; parallel tempering; Cramér-Rao lower bound; power spectral density.
Preferential CO Oxidation in H 2 over Au / La 2 O 3 / Al 2 O 3 Catalysts : The Effect of the Catalyst Reduction Method

We investigated the influence of the reduction method on the preferential oxidation of CO in H2 (CO-PROX) over Au/La2O3/Al2O3 catalysts. An Au/La2O3/Al2O3 sample, prepared using deposition–precipitation with urea, was reduced by chemical reduction with NaBH4 or glycerol. Several techniques, such as diffuse-reflectance infrared Fourier-transform spectroscopy after CO adsorption (CO-DRIFTS), X-ray photoelectron spectroscopy (XPS) and transmission electron microscopy (TEM) were used to characterize the catalysts. Additionally, the catalysts were examined by in situ DRIFTS during methanol decomposition. The results reveal that the reduction method affects the average particle size and electronic state of gold, as well as the characteristics of the CO–Au0 interactions. The best CO-PROX performance was observed for the catalyst chemically reduced using NaBH4 with a NaBH4/Au molar ratio of 35. This catalyst contained gold particles with size of ~4 nm, for which the XPS binding energy was lower than that of metallic gold.
Performance Analysis of Amorphous Photovoltaic Module Technology in Laâyoune-Morocco

The main objective of this work is to study the performance of photovoltaic module based on silicon amorphous technology (a-si) installed on the roof of a building 10 m high of ESTL (Morocco). The system was monitored between December 2017 and November 2018 and all the electricity produced was injected into the building's low voltage power supply. The elements of performance evaluated monthly and annually include: energy output, system efficiency, reference yield, final yield, performance ratio and annual capacity factor. For a-Si, the investigation of the annual : Productivity EAC, System efficiency Ƞsys, and performance ratio (PR) are found as 2868,33kWh, 8,67%, and 79,28% respectively. The average annual daily final yield and capacity factor were 1889,8h and 16.3% respectively.
How do municipalities react to a revenue shock? .5cm Preliminary draft-please do not cite or circulate

Abstract We study the fiscal reaction of German municipalities to a revenue shock that stems from the adjustment of population counts in the 1987 and 2011 censuses. We focus on the choice of instruments municipalities use in order to offset the shock, namely municipal taxes, debt, and spending. Simple models of public finance suggest that municipalities should adjust all instruments marginally. In more complicated models that take into account the political economy, this does not need to hold. In regular instrumental variable (IV) regressions, we find that municipalities significantly adjust one or two instruments. Non-parametric IV regressions that rely on generalized random forests (Athey et al., 2019) provide evidence on strategic behaviour of municipalities.
A Manifold Learning Approach to Data-Driven Computational Mechanics

Résumé — Standard simulation in classical mechanics is based on the use of two very different types of equations. The first one, of axiomatic character, is related to balance laws (momentum, mass, energy, .), whereas the second one consists of models that scientists have extracted from collected, natural or synthetic data. In this work we propose a new method, able to directly link data to computers in order to perform numerical simulations. These simulations will employ universal laws while minimizing the need of explicit, often phenomenological, models. They are based on manifold learning methodologies. Mots clés — data-driven, model-free, manifold learning.
Integrated antenna switch for NB-IoT

Transistors are used in all digital devices today. The demand of faster and smaller devices such as mobile telephones and computers constantly drives the develop- ment of smaller transistor technologies. Transistors can also be used in analog applications. Today there are commercial chips with both radio and digital sys- tems in the same package. Cellular Internet of Things (IoT) is expected to make a big impact in large quantities, which requires low-cost solutions. Most cellular communication devices needs a Front-End-Module (FEM) implemented in Gal- lium Arsenide (GaAs) Monolithic Microwave Integrated Circuit (MMIC), which is an expensive technology, or Silicon On Insulator (SoI) that offeres low leakage. The more functionality that can be integrated in to the same chip, instead of using FEM or "off-chip" components on Printed Circuit Board (PCB), the cheaper and more robust the end product will be when produced. The focus of this master thesis is to investigate solutions that integrate the Transmit (TX)/Receive (RX) switch on bulk Complementary Metal-Oxide Semi- conductor (CMOS). Three switch architectures were investigated during the thesis work. The solutions were evaluated using four metrics: insertion loss, linearity, power handling capability and bandwidth. Due to high bandwidth and power re- quirement for IoT, the series shunt switch was found to be the most suitable solu- tion. The proposed solutions pass reliability tests used for typical market front-end module. A novel method for reducing insertion loss and improving switch linearity by increasing substrate resistance has been proposed.
Botanical composition of a natural rangeland overseeded with annual ryegrass under N fertilization

The fertilization in rangelands has a positive effect in the forage production. The increased nitrogen (N) availability improves plant growth and forage quality of native pastures. However, in the Pampa biome conditions of Rio Grande do Sul State, Brazil, these responses occur surprisingly fast and consistently. Therefore, the objective of this work was to quantify the N effect in the botanical composition of a natural pasture overseeded with annual ryegrass in Southern Brazil. The effects of three rates of N fertilization (zero, 100 and 200 kg N ha-1) were evaluated. Forage biomass was estimated on a monthly basis using the double sampling approach. The different botanical components of each forage sample were manually sorted in the laboratory. In order to calculate the Renyi diversity profile, two floristic composition evaluations were performed in the experimental area in December of 2010 and September of 2011. The ryegrass biomass production is highly affected by the N fertilization. The botanical composition of natural pastures modifies most probably by increasing ryegrass competition at early spring.
The Effect of Gender On The Relationship Between Body Fat Distribution & Lung Functions In Adult Indian Population

Abdominal obesity, as measured by waist-to-hip ratio (WHR), has long been recognized as a risk factor for metabolic and cardiovascular diseases, little is known about the effect of WHR on pulmonary function, especially in women. In this study of 40 men and 40 women( 30-55years) from BJMC &SasoonHospital,pune,were included w e assessed the association of respiratory parameters (WHR) as the markers of relative and abdominal obesity adiposity respectively. Statistical analysis was done to find out the association of FVC and FEV1 with over all and adiposity markers stratified by gender and adjusted to height and age. In women large values of WHR were associated with greater reductions of respiratory parameters FVC ,FEV1&MVV1.81+_0. 26,1.56+_0. 44,49.69+_12. 12 resply&in men 2.29+_0. 47,2.08+_0. 5,63.18+_9. 28resply.Thus, body fat distribution has independent effects on lung function that are more prominent in women than men.
An Investigation of Supply Chain Operational Improvements for Small and Medium Enterprises ( SMEs ) : A UK Manufacturing Case Study

In an increasingly turbulent business environment and intensive market competition and globalisation, manufacturing organisations of the 21st century have been forced to continuously seek improvements in their supply chain operations to increase productivity and quality. Therefore, making competition no longer between organisations but rather among its supply chains by seeking to reduce costs and improve quality as an alternative to gain higher market share. This paper investigates different aspects of operations and supply chain improvement of a small and medium manufacturing organisation in UK. The main objective of this paper is to help SMEs to identify deficiencies in their operations and take necessary steps to correct them to enhance performance and productivity in their supply chain operations. For this to happen, the current study has implemented lean approach as a method to improve the organisation’s supply chain, enhancing the quality of processes and products. By conducting interviews and observations together with gathering company internal records, it remarks some potential problems of the manufacturing company. Finally, several recommendations (such as introducing ERP system) are made for future improvements.
iHadoop: Asynchronous Iterations Support for MapReduce

iHadoop: Asynchronous Iterations Support for MapReduce Eslam Elnikety MapReduce is a distributed programming framework designed to ease the development of scalable data-intensive applications for large clusters of commodity machines. Most machine learning and data mining applications involve iterative computations over large datasets, such as the Web hyperlink structures and social network graphs. Yet, the MapReduce model does not efficiently support this important class of applications. The architecture of MapReduce, most critically its dataflow techniques and task scheduling, is completely unaware of the nature of iterative applications; tasks are scheduled according to a policy that optimizes the execution for a single iteration which wastes bandwidth, I/O, and CPU cycles when compared with an optimal execution for a consecutive set of iterations. This work presents iHadoop, a modified MapReduce model, and an associated implementation, optimized for iterative computations. The iHadoop model schedules iterations asynchronously. It connects the output of one iteration to the next, allowing both to process their data concurrently. iHadoop’s task scheduler exploits interiteration data locality by scheduling tasks that exhibit a producer/consumer relation on the same physical machine allowing a fast local data transfer. For those iterative applications that require satisfying certain criteria before termination, iHadoop runs