Miracle-dz/UniFAR-FTUs huggingface dataset:
Response of Two Sugar Beet Varieties to Chicken Manure and Phosphorine Application

WS 1436'). The experiment was carried out at South Tahrir Region El-Behira during the two successive growing winter seasons of 2006/2007 and 2007/2008. The experimental design used was a split split plot with four replicates. All data showed that Lados gave the highly significant difference compared to TWS 1436 in all growth attributes and sugar beet quality parameters except for purity%, Na% and extractable sucrose%. Also, the results showed that with increasing chicken manure rates from control to 10 and 20 ton/fed. , the means of growth attributes and sugar beet quality parameters tended to increase significantly at the different sample dates in both seasons, except T.S. S. % and A.C. which were reduced significantly in both seasons. All growth attributes values at the different sample dates in both seasons were increased significantly by inoculation with phosphate dissolving bacteria. On the other hand, there was no significant difference in extractable sucrose%, A.C. and amino-N between both varieties with and without PDB inoculation. In contrast, K, Na and T.S. S. percentages were decreased significantly with inoculation by PDB. In each plant varieties, the response of sugar beet plants without PDB to the increasing of chicken manure (OM) application was vigorous and highly significant. On the other hand, the sugar beet plants inoculated with the PDB had a slight difference and not significant at different OM rates in both varieties. In general, the bacteria have a significant effect when an organic matter level was very low. It can be concluded that inoculation with phosphate dissolving bacteria singly or application of chicken manure singly or combination of them had significantly increased all sugar beet growth attributes and quality parameters under the same conditions of this experiment. Also, Lados variety produced higher sugar beet growth attributes and quality parameters compared to the other variety TWS 1436
The importance of terrestrial weathering changes in multimillennial recovery of the global carbon cycle: a two-dimensional perspective

Abstract. In this paper, we describe the development and application of a new spatially explicit weathering scheme within the University of Victoria Earth System Climate Model (UVic ESCM). We integrated a dataset of modern-day lithology with a number of previously devised parameterizations for weathering dependency on temperature, primary productivity, and runoff. We tested the model with simulations of future carbon cycle perturbations, comparing a number of emission scenarios and model versions with each other and with zero-dimensional equivalents of each experiment. Overall, we found that our two-dimensional weathering model versions were more efficient in restoring the carbon cycle to its pre-industrial state following the pulse emissions than their zero-dimensional counterparts; however, in either case the effect of this weathering negative feedback on the global carbon cycle was small on timescales of less than 1000 years. According to model results, the largest contribution to future changes in weathering rates came from the expansion of tropical and mid-latitude vegetation in grid cells dominated by weathering-vulnerable rock types, whereas changes in temperature and river runoff had a more modest direct effect. Our results also confirmed that silicate weathering is the only mechanism that can lead to a full recovery of the carbon cycle to pre-industrial levels on multimillennial timescales.
Quality of different tropical fruit cultivars produced in the Lower Basin of the São Francisco Valley

The present study evaluated the physical, physico-chemical and chemical characteristics of fruit from commercial cultivars of the mango, acerola, guava, atemoya and custard apple, produced in the Lower Basin of the Sao Francisco Valley. Fruit harvested in commercial areas of the region were evaluated for weight, length, diameter, colouration of the peel and pulp, firmness, pH, titratable acidity (TA), soluble solids (SS), SS to TA ratio, and levels of total soluble sugars, reducing sugars, starch and pectic substances. The data were subjected to descriptive statistical analysis. Fruits from cultivars of the guava (Paluma, Rica and Pedro Sato), the custard apple and atemoya display a high level of pectic substances, a characteristic which favours industrial use. In the mango, a high level of pectic substances was noted in fruit of the cultivars Kent, Espada, Tommy Atkins and Van Dyke. Fruits of the acerola cultivar Costa Rica show high SS content and a low AT, favouring consumption in natura.
Universal Solutions of a Nonlinear Heat Equation on R

In this paper, we study the relationship between the long time behavior of a solution u(t, x) of the nonlinear heat equation ut − u + |u|αu = 0 on RN (where α > 0) and the asymptotic behavior as |x | → ∞ of its initial value u0. In particular, we show that if the sequence of dilations λ n u0(λn ·) converges weakly to z(·) as λn → ∞, then the rescaled solution t1/αu(t, · √ t) converges uniformly on RN to U(1)z along the subsequence tn = λn , where U(t) is an appropriate flow. Moreover, we show there exists an initial value U0 such that the set of all possible z attainable in this fashion is a closed ball B of a weighted L∞ space. The resulting “universal” solution is therefore asymptotically close along appropriate subsequences to all solutions with initial values in B. These results are restricted to positive solutions in the case α < 2/N . Mathematics Subject Classification (2000): 35K55, 35B40.
A Study of Internet Search Volume's Contribution to Day-Ahead Volatility Forecasts

We investigate whether day-ahead forecasts of individual stocks’ volatility can be improved with Internet search volume data. We extend Heterogenous Autoregressive models of Realized Volatility (HAR-RV models) with past search volume data, and evaluate these models’ forecasting performance. We find that short term search volume can improve forecasting performance for a subset of the companies in our sample. The improvement is greater if we isolate idiosyncratic volatility components for each company, from volatility components that can be explained by the market. This decomposition itself yields a significant improvement of forecasting performance. Using Google Trends’ "company" filter and "investing" filter in place of simple search volume also increases forecasting performance, as does combining (averaging) forecasts based on different filters. Utilizing both a decomposition and a combination of forecasts based on filtered search volume extensions, we improve single stock volatility forecasts by an average of 4.9% over the standard HAR-RV model. Additionally, we find that aggregate search volume of multiple companies can improve forecasts of market volatility.
EVALUATION OF ANTIBACTERIAL AND STRUCTURAL PROPERTIES OF COTTON FABRIC COATED BY CHITOSAN / TITANIA AND CHITOSAN / SILICA HYBRID SOL-GEL

Coatings of chitosan with both of titania and/or silica at different ratios were prepared and applied to the cotton fabric. The antibacterial activity of the samples were evaluated quantitatively according to the modified procedure of the shake flask method (ASTM E2149-01). It was found that there was a corresponding relation between the media and the activity of titania coatings. To the experimental results, all the samples coated by titania have shown perfect activity after 5 hour irradiation under UV light. On the other hand, their activity values were found to be less than the other samples under dark media conditions. The combination of titania and chitosan solutions was found to be more favourable than only chitosan coating. In addition to this, it’s seen that the combination of silica and chitosan sols was more effective than application of chitosan or silica sol alone. After washing process, the combined systems showed the best results. The structure of cotton fabric and its morphology were studied using SEM-EDX, X-ray diffraction and FT-IR analysis. From the SEM images, it’s observed that there is a compatible bonding with cotton fiber and combined coatings and this fact ensures the washing durability. The EDX results has confirmed the presence of titania and silica in the coatings. To the X-ray analysis, no significant difference was observed among the processes showing the stability of the crystallinity of the samples.
Determinants of foreign direct investment in ECOWAS countries: The roles of governance and human capital

Against the backdrop of dwindling share of foreign direct investment (FDI) to sub-Saharan Africa region in the distribution of global FDI on the one hand, and the need to tread on a sustainable growth trajectory on the other hand, the study uncovers the determinants of FDI given due consideration to the roles of governance and human capital in some selected Economic Community for West Africa States (ECOWAS) countries. A panel data analysis is employed and estimated via different estimators namely: pooled OLS, fixed (FE) and random effects (RE) models. The standard F-statistics test favoured FE over pooled OLS while Hausman test also supported FE over RE respectively. On the whole, the results showed that per capita GDP, infrastructural quality, human capital and governance variables were the key predictors driving FDI to the region. Notably, the roles of human capital and governance variables were amplified when interacted with FDI in the models. Arising from these, are a few suggested recommendations for the attention of policy makers.
Study of thermal and optical properties of dibenzoylmethane Eu(III) organic complexes

Two Europium(III) organic complexes (ternary complex Eu(DBM)3(PHEN) and tetrakis complex [Eu(DBM)4]N(Et)4, where DBM is dibenzoylmethane and PHEN is 1,10-phenantroline) were synthesized and their structures proven with H-NMR spectroscopy, elemental analysis, FT-IR and mass spectroscopy. Their photophysical properties have been investigated in solution, solid-state and in poly-N-vinylcarbazole (PVK) films varying complex composition from 1 to 15 wt%. Both complexes exhibit intense UV light absorption and bright red-light emission with maximum wave length at 612 nm. It was shown that tetrakis complex in solution, solid-state and PVK films have enhanced photoluminescence properties compared to ternary complex due to four DBM molecules in Eu coordination sphere, which leads to more effective excited energy transfer to Eu ion. In THF solutions both complexes are characterized with low photoluminescence quantum yields (4% and 6%), in PVK films – moderate quantum yields (14–48%), but in solid state with high quantum yields (56% and 75%). Thermal properties for pure complexes and their PVK films were studied with thermogravimetric analysis. Both complexes exhibit high thermal degradation temperatures of 304 C for ternary and 267 C for tetrakis complex, but their PVK films show even higher degradation temperature (over 370 C).
American-Japanese cultural differences in judgements of emotional expressions of different intensities

Although research has generated a wealth of information on cultural influences on emotion judgements, the information we have to date is limited in several ways. This study extends this literature in two ways, first by obtaining judgements from people in two cultures of expressions portrayed at different intensity levels, and second by incorporating individual level measures of culture to examine their contribution to observed differences. When judging emotion categories in low intensity expressions, American and Japanese judges see the emotion intended at above-chance rates, albeit lower than when judging high intensity faces. Also, American and Japanese intensity ratings of external displays and internal experiences differ dramatically for low intensity expressions compared to high intensity faces. Finally, the two cultural dimensions measured in this study—individualism versus collectivism (IC) and status differentiation (SD)—accounted for almost all of the variance in the observed differences. These findings are discussed in terms of their underlying possible mechanisms, and future research possibilities.
Surrender Effects on Policy Reserves: A Simulation Analysis of Investment Guarantee Contracts

The assumption of dynamic lapse behavior is path-dependence related to the performance of underlying assets. This causes the pricing and reserving of investment guarantee products to be more difficult to deal with. The lack of actual experience of such policyholdersâ€™ behavior is also an essential problem when launching such guarantee products. The purpose of this paper is to attempt to measure the impact of dynamic surrender assumptions on policy reserves of investment guarantee contracts. We consider a single-premium version of a variable annuity, deducted periodically by a fixed percentage of policyholdersâ€™ account as margin offset, with six-year deferred maturity benefit. This deferred maturity benefit is a kind of investment guarantee. Utilizing two dynamic policyholdersâ€™ lapse formula suggested by American Academy of Actuaries and the Swiss Reinsurance company, the simulation results show markets condition assumptions have a tremendous effects upon the magnitude of reserves. This implies that it is a crucial part of risk management considerations for such products. Reserves adequacy testing is necessary when market condition shifts dramatically. The numerical implementation of the simulation results allow us to identify some comparative statistical properties and to identify the appropriate reserving routine of variable annuity with investment guarantee.
Adapting Deep Learning Methods for Mental Health Prediction on Social Media

Mental health poses a significant challenge for an individual’s well-being. Text analysis of rich resources, like social media, can contribute to deeper understanding of illnesses and provide means for their early detection. We tackle a challenge of detecting social media users’ mental status through deep learning-based models, moving away from traditional approaches to the task. In a binary classification task on predicting if a user suffers from one of nine different disorders, a hierarchical attention network outperforms previously set benchmarks for four of the disorders. Furthermore, we explore the limitations of our model and analyze phrases relevant for classification by inspecting the model’s word-level attention weights.
M ay 2 01 8 Ultraviolet complete dark energy model

We consider a local phenomenological model to explain a non-local gravity scenario which has been proposed to address dark energy issues. This non-local gravity action has been seen to fit the data as well as Λ-CDM and therefore demands a more fundamental local treatment. The induced gravity model coupled with higher-derivative gravity is exploited for this proposal, as this perturbatively renormalizable model has a well-defined ultraviolet (UV) description where ghosts are evaded. We consider a generalised version of this model where we consider two coupled scalar fields and their non-minimal coupling with gravity. In this simple model, one of the scalar field acquires a Vacuum Expectation Value (VEV), thereby inducing a mass for one of the scalar fields and generating Newton’s constant. The induced mass however is seen to be always above the running energy scale thereby leading to its decoupling. The residual theory after decoupling becomes a platform for driving the accelerated expansion under certain conditions. Integrating out the residual scalar generates a non-local gravity action. The leading term of which is the non-local gravity action used to fit the data of dark energy.
OTT_A_174640 5813..5822

Sabrina Trudel Philippe Moreau Cyrille Touzeau 1Hematology Department, University Hospital, Nantes, France; 2Centre de Recherche en Cancérologie et Immunologie Nantes-Angers (CRCINA), Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS), Université d’Angers, Université de Nantes, Nantes, France; 3Site de Recherche Intégrée sur le Cancer (SIRIC), Imaging and Longitudinal Investigations to Ameliorate Decisionmaking (ILIAD), Nantes, France Abstract: Monoclonal antibodies (mAbs) targeting antigens expressed by plasma cells demonstrated major clinical activity in multiple myeloma patients and therefore became a new major class of drug for these patients. Elotuzumab is a humanized mAb targeting the cell surface signaling lymphocytic activation molecule family member 7, a glycoprotein highly expressed on plasma cells, that is the second mAb approved for the treatment of myeloma patients. The mechanism of action of elotuzumab includes natural killer cell (NK) mediated antibody-dependent cellular cytotoxicity and direct activation of NK-cells. Elotuzumab has been approved in combination with lenalidomide and dexamethasone (EloRd) and pomalidomide and dexamethasone (Elo-Pd) for the treatment of relapsed myeloma patients. The present review will focus on elotuzumab, providing a summary of the mechanism of action, efficacy and safety and taking into consideration patients’ selection.
Development of listening and speaking skills in hearing-impaired EFL students

This study initiates an exploration of the benefits that a computer-based training could bring to hearing-impaired Secondary students of EFL. A class of six Spanish students (five hearing-impaired and one with a slight cognitive disorder) undertook three sessions of audiovisual training in the computer room. Participants recorded their productions in the course of three sessions, which were analysed taking into account three main variables: tonicity, tonality and tone. Participants with lower outcomes in the first recording showed a higher global improvement in their productions by the end of the training. There were not significant differences between the final outcome of the hearing student and the final outcomes of the five hearing-impaired students.
Cognitive impairment among type 2 diabetes mellitus patients at Jimma University Specialized Hospital, Southwest Ethiopia

Cognitive impairment is the major health problem particularly in elderly with type 2 diabetes mellitus. The aim of this study was to determine the magnitude of cognitive impairment and associated factors among type 2 diabetics in Jimma University Specialized Hospital, 2016. Comparative cross sectional study was employed among 105 type 2 diabetes mellitus patients and 105 matched healthy individuals at Jimma University Specialized Hospital using consecutive sampling technique. Mini-mental state examination scale was used to measure cognitive function. Frequency, independent t-test, and logistic regression were carried to present data. Variables with p≤0.05 were considered as significant association between dependent and outcome variables. Prevalence of cognitive impairment among type 2 diabetes mellitus was higher than healthy individuals (53.3%). Age, occupations, fasting blood glucose level, and type of treatment options for diabetics were the predictors of cognitive impairment among type 2 diabetes mellitus patients. The prevalence of cognitive impairment among type 2 diabetes mellitus patients was significantly higher than non-diabetes study participants. This study was intended to offer information on cognitive impairment and associated factors among type 2 diabetes mellitus patients to concerned bodies in designing diagnosis and management strategies particularly focusing on counseling in preventing risk factors. Key words: Cognitive impairment, type 2 diabetes mellitus, mini-mental state examination, Ethiopia.
Cytotoxic Compounds from Kibatalia gitingensis (Elm.) Woodson

Ursolic acid (1), squalene (2), a mixture of α-amyrin acetate (3a) and lupeol acetate (3b), and isoscopoletin (4), isolated from the dichloromethane extracts of the leaves and twigs of Kibatalia gitingensis, were evaluated for their cytotoxic activities against three human cancer cell lines, breast (MCF-7) and colon (HT-29 and HCT-116), and a normal cell line, human dermal fibroblast-neonatal (HDFn), using the in vitro PrestoBlue® cell viability assay. Compounds 1-4 exhibited strong cytotoxic activities against HT-29 cells with IC50 values ranging from 0.6931 to 1.083 μg/mL. Furthermore, 1-4 were moderately cytotoxic against HCT-116 cells with IC50 values ranging from 4.065 to 11.09 μg/mL. These compounds were least cytotoxic against MCF-7 cells with IC50 values ranging from 8.642 to 25.87 μg/mL. The most cytotoxic against HT-29 cells, HCT-116 cells and MCF-7 cells are 2, 4 and 1, respectively.
Impacts of Exchange Rate Volatility on Macroeconomic and Financial Variables: Empirical Evidence from PVAR Modeling

In this study, Panel Vector Autoregression (PVAR) models are used to determine the impacts of exchange rate volatility on industrial production growth rate, consumer price inflation, short-term interest rates and stock returns for 10 OECD countries. The variance decomposi- tions (VDCs) found that exchange rate volatility can be a secondary factor for the variations in immediate interest rates, implying that Uncovered Interest Rate Parity (UIP) condition should be analyzed by the inclusion of other macroeconomic variables. Impulse response functions (IRFs) expose that volatility in exchange rates can have a positive impact on the liquidity conditions in money market and an increase in real economic activity because investors have to move their money away from currency markets to money markets. The relatively lower impact of exchange rate volatility may arise from the zero bound problem, thus it is emphasized that the examination of impacts on exchange rate volatility on macro- economics variables should be made both considering conventional and unconventional monetary policy. Although impulse response functions (IRFs) did not detect the significant impact of exchange rate volatility on inflation, VDCs obtained supporting results to exchange rate pass-through (ERPT). I suggest that the monetary policy to be developed should clarify alternative channels that exchange rate may affect inflation.
Dominant Factors for an Effective Selection System: An Australian Education Sector Perspective

With the latest advancements in information technologies, many organisations expect systems to provide effective support in the recruitment process and decision making. However, there is a lack of clarity on the dominant factors required for an effective recruitment system which can influence business outcomes. This paper aimed to identify the predominant factors in the employee selection process and the use of a management system for decision support. The empirical study consisted of a qualitative survey of 74 samples and a quantitative survey of 204 individual participants from 17 organisations coming from technical and further education (TAFE)/dual education (higher education and vocational education) sector members of the Victorian TAFE Association in Australia. Using commonly adopted exploratory factor analysis (EFA) of 38 variables, the data triangulation of the qualitative and quantitative analysis resulted in conformance of five dominant factors under three themes. We believe the results of the study offer actionable suggestions in developing an effective recruitment system and furthers the research in this field of study.
F eb 2 01 7 Universality of DC Electrical Conductivity from Holography

Xian-Hui Ge, ∗ Sang-Jin Sin, † and Shao-Feng Wu ‡ Shanghai Key Laboratory of High Temperature Superconductors, Department of Physics, Shanghai University, Shanghai, 200444, China and Department of Physics, University of California at San Diego, CA92122, USA Department of Physics, Hanyang University, Seoul 133-791, Korea Department of Physics, Shanghai University, Shanghai, 200444, China (Dated: May 19, 2018)