Miracle-dz/UniFAR-FTUs huggingface dataset:
Research Paper Assessment and Comparison of linear and non-linear Methods for Forecasting Returns on Stock Market Index

Nowadays, Investing in the stock exchange market is an important component of the countries economy. Being able to forecast the stock price variations is of great significance for the stockholders as it will enable them to obtain the highest return on their investment. The stock price index illustrates the general state of the stock market and could help stockholders make forecasts for their investments. This article assesses and forecasts returns based on Tehran Stock Exchange Index (TEPIX) using the daily data between 22/11/2010 and 18/03/2014 and different forecasting models such as ARIMA, GARCH, and Artificial Neural Networks (ANN) and Adaptive Network-based Fuzzy Inference System (ANFIS). Evaluating the accuracy of above mentioned models through their forecasting measures (e.g. RMSE, MAE, MAPE, TIC and CSP) reveals that ANFIS has a better performance of all models. The statistical comparison of the results through Diebold-Mariano Test also demonstrates a significant difference in models accuracy.
Studi Kasus : Operator Welding 1 A , PT . XYZ Motor )

Leadership, motivation, work environment, and discipline is some of important factors where its influence in employees performance need to be studied, in order to improve better performance or provide positive influence on the performance itself. Employees performance in the welding section 1 A, has significant effect in the production process at PT. XYZ Motor, which manufactures parts of the body frame, in order to complete the daily production target, the influence of these factors on the employees performance needs to be determined. This study uses a questionnaire for collecting data from samples of 80 respondents taken from 158 employees in the welding 1 A. Multiple linear regression is used to test hypotheses for each variable. Result showed that the discipline variables has positive influence on employee performance with significance value of 0,04, where the value is less than 0,05. Other factors has value greater than 0,05. Kata Kunci: Leadership, motivation, work environment, discipline, performance
Monitoring CO 2 Injection at Weyburn Reservoir Using 3-D / 3C Seismic Datasets

In order to monitor and verify the distribution of CO2 during its geologic storage and enhanced oil recovery in Weyburn oil field in Saskatchewan, Canada, we applied the time-lapse AVO (amplitude variation with offset) method to time-lapse 3-D/3-C seismic datasets. Standard AVO attributes, such as intercept, gradient, S-wave reflectivity, together with additional empirical attributes are compared using three vintages of the data from 1999 to 2002. The results indicate that pressure-saturation effects related to the presence of CO2 can be identified between horizontal injection wells.
Exploring the potential of Selenium ( Se ) and Moringa ( Moringa oleifera L . ) leaf extract on the production and performance of Triticum aestivum L

Kashif Anjum, Sardar Alam Cheema, Muhammad Farooq, Hafeez ur Rehman and Fasih Ullah Haider Exploring the potential of Selenium (Se) and Moringa (Moringa oleifera L.) leaf extract on the production and performance of Triticum aestivum L. Journal of Research in Ecology (2019) 7(1): 2390-2402 Exploring the potential of Selenium (Se) and Moringa (Moringa oleifera L.) leaf extract on the production and performance of Triticum aestivum L.
THE EVOLUTION OF BACULOVIRUSES Variation Among Species of Virus

Baculoviruses occur widely among Lepidoptera, and in some species of forest and agricultural insects, they cause epizootics in outbreak populations. Here we review recent developments in baculovirus ecology and evolution, in particular focusing on emerging areas of interest and studies relating to field populations. The expanding application of molecular techniques has started to reveal the structure of baculovirus populations and has highlighted how variable these pathogens are both genotypically and phenotypically at all levels from within individual hosts to among host populations. In addition, the detailed molecular knowledge available for baculoviruses has allowed the interpretation of gene functions across physiological and population levels in a way rarely possible in parasite-host systems and showed the diverse mechanisms that these viruses use to exploit their hosts. Analysis of the dynamic interactions between insects and baculoviruses, and their compatibility for laboratory and field experiments, has formed a basis for studies that have made a significant contribution to unraveling disease interactions in insect populations. In particular, manipulative studies on baculoviruses have been instrumental in developing an understanding of disease transmission dynamics. The results so far indicate that baculoviruses have the potential to be an excellent model for investigations of changes in virulence and resistance in fluctuating and stable host populations.
Oxidized Cell-Free DNA Is a Factor of Stress Signaling in Radiation-Induced Bystander Effects in Different Types of Human Cells

In pathology or under damaging conditions, the properties of cell-free DNA (cfDNA) change. An example of such change is GC enrichment, which drastically alters the biological properties of cfDNA. GC-rich cfDNA is a factor of stress signaling, whereas genomic cfDNA is biologically inactive. GC-rich cfDNA stimulates TLR9-MyD88-NF-κB signaling cascade, leading to an increase in proinflammatory cytokine levels in the organism. In addition, GC-rich DNA is prone to oxidation and oxidized cfDNA can stimulate secondary oxidative stress. This article is a review of works dedicated to the investigation of a low-dose ionizing radiation effect, a bystander effect, and the role of cfDNA in both of these processes.
Title Homogeneous finite-time consensus control for higher-order multi-agent systems by full order sliding mode

This paper investigates the distributed finite-time consensus tracking problem for higherorder nonlinear multi-agent systems (MASs). The distributed finite-time consensus protocol is based on full order sliding surface and super twisting algorithm. The nominal consensus control for the MASs is designed based on the geometric homogeneous finite time control technique. The chattering is avoided by designing a full order sliding surface. The switching control is constructed by integrating super twisting algorithm, hence a chattering alleviation protocol is obtained to maintain a smooth control input. The finite time convergence analysis for the leader follower network is presented by using strict Lyapunov function. Finally, the numerical simulations validate the proposed homogeneous full-order sliding mode control for higher-order MASs.
Volume Bounds of T-links

We prove that all left nested (p, q) torus links are octahedral, and determine the number of octahedra that make up left nested and complete nested (p, q) torus links. Using these results, we improve known volume bounds for T-links that have nested (p, q) torus link parents. Finally, we find lower bounds on volumes for this class of links.
Towards the virtual communities of learning in e-learning ( from a pedagogical design for the practice community ) : The possibilities of the platforms ( LMS )

From a experience of formation of tutors for the education in line, the results of an analysis of the processes of formation in the educative modality through Network Internet appear at a distance, considering the possibilities of the virtual surroundings to facilitate or to prevent the collaboration in Network, and therefore the construction of practice communities, with the purpose of advancing towards the construction of learning communities.
Perceptually-inspired super-resolution of compressed videos

Spatial resolution adaptation is a technique which has often been employed in video compression to enhance coding efficiency. This approach encodes a lower resolution version of the input video and reconstructs the original resolution during decoding. Instead of using conventional up-sampling filters, recent work has employed advanced super-resolution methods based on convolutional neural networks (CNNs) to further improve reconstruction quality. These approaches are usually trained to minimise pixel-based losses such as Mean-Squared Error (MSE), despite the fact that this type of loss metric does not correlate well with subjective opinions. In this paper, a perceptually-inspired super-resolution approach (M-SRGAN) is proposed for spatial up-sampling of compressed video using a modified CNN model, which has been trained using a generative adversarial network (GAN) on compressed content with perceptual loss functions. The proposed method was integrated with HEVC HM 16.20, and has been evaluated on the JVET Common Test Conditions (UHD test sequences) using the Random Access configuration. The results show evident perceptual quality improvement over the original HM 16.20, with an average bitrate saving of 35.6% (Bjøntegaard Delta measurement) based on a perceptual quality metric, VMAF.
Non-Tuberculous Mycobacteria Recovered from Suspected TB Cases in Namwala District of Zambia

The genus Mycobacterium consists of over 140 known species and these are classified as nontuberculous Mycobacteria (NTM) and mycobacteria belonging to Mycobacterium tuberculosis complex (MTBC), the causative agent of pulmonary tuberculosis (TB) (Brosch et al., 2002;Tortoli, 2006). Mycobacterium is a single genus within the family Mycobacteriaceae, under the order Actinomycetales, class Actinomycetes and phylum Actinobacteria (Wayne and Kubica, 1986).
A comparative study of the glass ceiling effect in Sweden, Great Britain and France

The inequality of the labour market has long been a discussed and studied topic and today we know that women earn less than their comparable male colleagues. Many studies have been conducted to find out if there is a glass ceiling effect for women in the labour market but most of these have used wages as their outcome variable. We wanted to see if women in the labour market face a glass ceiling when looking at the probability of holding a managerial position. We also wanted to see if there was any difference in the glass ceiling when comparing different countries so we studied the glass ceiling in Sweden, France and Great Britain. In order to study the glass ceiling, we use two separate probit regressions. The variable of interest in the first regression is the gender variable while in the other it is also an interaction term that shows the difference in the gender gaps between the private and public sector. The results show that there seems to be a glass ceiling effect in both France and Great Britain since the gender gap increases further up in the workplace hierarchy while the results for Sweden show that there is a gender gap throughout the workplace hierarchy. We also find that the gaps differ in the public and the private sector indicating that where you work can affect the probability of holding a managerial position.
Polymer Structures of N-[ { 4-( N ’-Benzenesulphonicacid ) Amino-Carbonyl } Phenyl ] Maleimide : Synthesis , Thermal and Microbial Studies

Imido-functional group contenting N-[{4-(N’-benzenesulphonicacid) amino-carbonyl} phenyl] maleimide was prepared by reacting species of maleic anhydride, 4-amino benzoic acid and 4-amino sulphanilic acid via chlorination in the presence of Diphosphoruspentaoxide (P2O5) as a catalyst in medium of N, N’-dimethyl formamide (DMF). Homopolymer, copolymers[C1BSACPMI], [C2BSACPMI], [C3BSACPMI] and terpolymers [T1BSACPMI], [T2BSACPMI] were prepared by reaction of [BSACPMI] monomer with three different of acrylates, namely acrylonitrile (AN), acrylic acid (AA) and vinyl acetate (VA) in presence of tetrahydrofurane (THF) polar organic solvent. The structures of these compounds were confirmedby FT-IR, 1 HNMR. The weight average molecular weight (Mw), number average molecular weight (Mn) and polydisperity (Mw/Mn ratio) of polymers were determined using Gel Permeation chromatography (GPC) technique. Thermal susceptibility of all polymers were studied by Thermo Gravimetric Analysis (TGA) and DSC techniques. All polymers wereevaluatedfrom biological activities against some bacterial and fungal species.
SCOPOLIN , A GLYCOSIDE FORM OF THE PHYTOALEXIN SCOPOLETIN , IS LIKELY INVOLVED IN THE RESISTANCE OF NICOTIANA ATTENUATA AGAINST ALTERNARIA ALTERNATA

Phenolic coumarins are secondary metabolites playing an important role in plant-environment interaction. Previously, we have shown that wild tobacco Nicotiana attenuata accumulates high amounts of the jasmonate (JA)dependent phenolic coumarin, scopoletin, as a phytoalexin to defend itself against a necrotic fungal pathogen, Alternaria alternata (tobacco pathotype). Scopolin, a β-glycoside form of scopoletin, was strongly elicited and to a level even higher than that of scopoletin in host plants after A. alternata infection. However, it was not known whether scopolin functioned as a phytoalexin playing a role in the resistance or simply as a storage form of scopoletin. When supplied in PDA medium, scopolin exhibited a moderate but slightly weaker anti-fungal activity against A. alternata than that of scopoletin. In addition, A. alternata-elicited scopolin level was dramatically decreased in JA deficient plants. Thus, all the data suggest that scopolin is also a JAdependent phytoalexin likely involved in the resistance of N. attenuata against A. alternata.
ITOUGH2 sample problems

This report contains a collection of ITOUGH2 sample problems. It complements the ITOUGH2 User`s Guide [Finsterle, 1997a], and the ITOUGH2 Command Reference [Finsterle, 1997b]. ITOUGH2 is a program for parameter estimation, sensitivity analysis, and uncertainty propagation analysis. It is based on the TOUGH2 simulator for non-isothermal multiphase flow in fractured and porous media [Preuss, 1987, 1991a]. The report ITOUGH2 User`s Guide [Finsterle, 1997a] describes the inverse modeling framework and provides the theoretical background. The report ITOUGH2 Command Reference [Finsterle, 1997b] contains the syntax of all ITOUGH2 commands. This report describes a variety of sample problems solved by ITOUGH2. Table 1.1 contains a short description of the seven sample problems discussed in this report. The TOUGH2 equation-of-state (EOS) module that needs to be linked to ITOUGH2 is also indicated. Each sample problem focuses on a few selected issues shown in Table 1.2. ITOUGH2 input features and the usage of program options are described. Furthermore, interpretations of selected inverse modeling results are given. Problem 1 is a multipart tutorial, describing basic ITOUGH2 input files for the main ITOUGH2 application modes; no interpretation of results is given. Problem 2 focuses on non-uniqueness, residual analysis, and correlation structure. Problem 3 illustrates a variety of parameter and observation types, and describes parameter selection strategies. Problem 4 compares the performance of minimization algorithms and discusses model identification. Problem 5 explains how to set up a combined inversion of steady-state and transient data. Problem 6 provides a detailed residual and error analysis. Finally, Problem 7 illustrates how the estimation of model-related parameters may help compensate for errors in that model.
Chapter 2 Introduction : Gender , Education and Ecology

J.C. Ingram et al. (eds.), Integrating Ecology and Poverty Reduction: The Application of Ecology in Development Solutions, DOI 10.1007/978-1-4614-0186-5_2, © Springer Science+Business Media, LLC 2012 Throughout this volume, as we seek to think about new or enhanced ways in which ecology can be applied to address poverty, it is critical to consider the social, cultural, and economic traditions that may support or challenge the adoption of an ecologically based approach to development. Two key, interconnected areas in which societal norms are critical to furthering poverty reduction and sustainable natural resource management in developing countries include education and gender. Education is widely recognized as an important component in reducing poverty and a key to wealth creation (UNESCO 2003 ) . While the rural poor in general lack access to formal education, women and girls have signifi cantly fewer opportunities to access education than men and boys (UNESCO 2003 ) . Education is not the only sphere in which gender inequalities exist. Women perform 66% of the world’s work, produce 50% of the food, but earn 10% of the income and own 1% of the property (UNICEF 2007 ) . Yet, improving the lives of women and girls can be an effective way to prevent disease, reduce hunger, and raise Gross Domestic Product (Kristof and WuDunn 2009 ) . Increasing appreciation of the importance of education and gender equality in development initiatives is refl ected in Millennium Development Goal (MDG) 2, which focuses on education, and MDG 3, which focuses on gender equality. In this section, authors have considered how ecological science and tools might be related to the challenges of education and gender equality and how ecology can be better integrated into ongoing initiatives to address gender and education challenges. Both chapters in this section begin with the premise that the rural poor are heavily and directly dependent on functioning ecosystems for their well-being. A majority of these people lack formal education, yet, there is a wealth of local ecological information held by rural communities, and much of this information is gender specifi c. Understanding how rural communities perceive, understand, and
Multiplier bootstrap for quantile regression: non-asymptotic theory under random design

This paper establishes non-asymptotic concentration bound and Bahadur representation for the quantile regression estimator and its multiplier bootstrap counterpart in the random design setting. The non-asymptotic analysis keeps track of the impact of the parameter dimension $d$ and sample size $n$ in the rate of convergence, as well as in normal and bootstrap approximation errors. These results represent a useful complement to the asymptotic results under fixed design and provide theoretical guarantees for the validity of Rademacher multiplier bootstrap in the problems of confidence construction and goodness-of-fit testing. Numerical studies lend strong support to our theory and highlight the effectiveness of Rademacher bootstrap in terms of accuracy, reliability and computational efficiency.
Evaluation of IGS Reprocessed Precise Ephemeris Applying the Analysis of the Japanese Domestic GPS Network Data

The IGS reprocessed GPS precise ephemeris (repro1) is evaluated applying the Japanese dense GPS network data for the period from 869 to 1041 GPS weeks (September 1996 to December 1999; 173 weeks). We compare the weekly repeatability of the site coordinates of the Japanese network sites applying the reprocessed orbit with that applying the original IGS final orbit. For the case of the orbit-fixed analysis, the repeatability with the reprocessed orbit is better than that with the original orbit in the E-W and U-D components, although not significant compared with the standard error. On the other hand, for the case of the orbit-estimated analysis, the station coordinate repeatabilities are almost the same. Then we examine the systematic biases of the station coordinates between the reprocessed and the IGS final orbits, and we find that the coordinates applying the original final orbit deviate in north, east, and upward compared with those applying the reprocessed orbit although the difference is not significant compared with the uncertainties of site coordinate solutions. Finally we examine the systematic discontinuity of the station coordinates between the periods of the different reference frames applied in the IGS final orbit, and find that the jump between ITRF94 and ITRF97 is far larger than that between ITRF96 and ITRF97, although the most jumps are not significant compared with the one sigma uncertainties.
Tilburg University Why Dowry Payments Declined With Modernisation in Europe but are Rising in India

In contrast to most dowry oriented societies where payments have declined with modernisation, those in India have undergone signi ̄cant in°ation over the last ̄ve decades. This paper explains the di®erence between these two experiences by focusing on the role played by caste. The theoretical model contrasts caste and non-caste based societies: in the former, there exists an inherited component to status (caste) which is independent of wealth, while in the latter, wealth is the primary determinant of status. Modernisation is assumed to involve two components: increasing average wealth and increasing wealth dispersion within status (or caste) groups. The paper shows that, in caste-based societies, the increases in wealth dispersion which accompany modernisation necessarily lead to increases in dowry payments, whereas in non-caste case based societies, increased dispersion has no real e®ect on dowry payments and increasing average wealth causes the payments to decline. JEL Classi ̄cation Codes: J12, J16, D10
Twitter Hashtag Segmentation

This paper describes an effort to segment nondelimited strings of English text, specifically hashtags. Extensive research has been done in word segmentation, particularly in languages like Chinese, for its lack of spacing between words, and German, for its extensive use of compounds. English, however, has been relatively untouched. The goal of this research is to adapt and extend methods used in prior research to fit the demands of modern English.
Transfer Learning with Domain-aware Attention Network for Item Recommendation in E-commerce

The booming of online shopping trends have reshaped the e-commerce industry, resulting in a growing number of e-commerce platforms over the decades. The underlying tasks for these ecommerce platforms are similar, it’s thus beneficial to employ a unified cross-domain model to leverage knowledge from both platforms (i.e., kill two birds with one stone). In light of this, we propose a novel transfer learning method with domain-aware attention network, to help multiple platforms. More specifically, our model addresses the importance of features across domains via attention networks. Specific-shared feature embeddings are used to enhance feature representations for different domains, while a new adversarial regularizer is proposed to further helps learn domain-invariant and domainspecific features that are useful for all domains. To the best of our knowledge, our study is the first to build a unified model for transferring knowledge in the e-commerce setting. Extensive experiments on real-world datasets from e-commerce platforms show that our model outperforms the competing methods by a large margin and is able to help both data-rich and data-deficient domains. Meanwhile, our quantitative evaluation shows that our model can discover important features for different domains.
Personality Factors and Burnout of Teachers in Terms of Biological Factors

In comparison to different occupations teaching has been characterised as an extremely stressful profession. Burnout among school teacher is one of the biggest issues which need attention. Most teachers are exposed to prolonged stress which eventually culminates into burnout. As a result previously committed teachers are become detached from their job or continue with the job mechanically. The study is an attempt to empirically investigate the relationship among dimensions of burnout and big five personality factors. Moreover the study examines whether there is difference between big five personality factors and burnout of teachers in terms of biological factors. Females reported higher level of emotional exhaustion than male teachers. Moreover there exists significant difference in distribution of Extraversion, Agreeableness and Openness among school teachers across sex. Female teacher reported more open and extrovert than their male counterparts. No significant difference in burnout and its subscales due to age was found.