Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Tweets Made by Cryptocurrency Opinion Leaders on Bitcoin Prices

Rapid technological advancements in the last few decades have given rise to various new products and fields, such as cryptocurrencies, social media and sentiment analysis. The massive surge in internet usage has caused organizations and investors to increasingly base their decisions on content placed on social media platforms which are flooded with data from its users. One of those platforms is twitter, a micro-blogging platform which allows people to share their opinions in a limited number of characters. Certain users on these platforms have the ability to influence other users’ decision making, including investing. Although stock market prediction through sentiment analysis has been researched often, the amount of research done on prediction Bitcoin prices is relatively low. Furthermore, there is a gap in existing research in which samples are not limited to users that have more knowledge than individual investors. This paper uses sentiment analysis on tweets made be cryptocurrency influencers to see whether they can be used to predict Bitcoin price fluctuations. This paper, additionally researches differences in predictive capabilities between regions and differences in predictive capabilities between a bear and a bull market. The results in indicate that tweets made by cryptocurrency influencers contain statistically significant information about the future value of bitcoin. Thus, analyzing those tweets to exploit profitable opportunities can be worthwhile.
EFFECT OF SPRAYING WITH POTASSIUM HUMATE AND AZOREN MIX ON GROWTH TRAITS AND NUTRIENTS CONTENT OF LOCAL LEMON CITRUS LIMON SAPLINGS

This study was conducted in the certified citrus nursery in Al-Hindiya district, Karbala Governorate, for the 2019 season, on seedlings of local sour lemon grafted on the origin of bitter orange at the age of 3 months. Where the seedlings were sprayed with compost organic potassium humate with four concentrations (0, 360, 240, 120) mg. L and the nutrient solution Azoren Mix with four concentrations (0, 0.5, 1, 1.5) g. L separately or jointly (3/15/2019). The results showed that spraying the seedlings with any of the composts or both resulted in a significant increase in the average height of the seedlings, stem diameter, dry weight of the vegetative group and the leaf content of the nutrients (N, K, Fe, Zn). The interference treatment of potassium humate 360 mg. L and Azoren Mix 1.5 g. L resulted in the highest rates for the above-studied traits compared to the control treatment.
Rapid reduction in ecosystem productivity caused by flash droughts based on decade-long FLUXNET observations

Abstract. A flash drought is characterized by its rapid onset and arouses widespread concerns due to its devastating impacts on the environment and society without sufficient early warnings. The increasing frequency of soil moisture flash droughts in a warming climate highlights the importance of understanding its impact on terrestrial ecosystems. Previous studies investigated the vegetation dynamics during several extreme cases of flash drought, but there is no quantitative assessment on how fast the carbon fluxes respond to flash droughts based on decade-long records with different climates and vegetation conditions. Here we identify soil moisture flash drought events by considering decline rate of soil moisture and the drought persistency, and we detect the response of ecosystem carbon and water fluxes to a soil moisture flash drought during its onset and recovery stages based on observations at 29 FLUXNET stations from croplands to forests. Corresponding to the sharp decline in soil moisture and higher vapor pressure deficit (VPD), gross primary productivity (GPP) drops below its normal conditions in the first 16 d and decreases to its minimum within 24 d for more than 50 % of the 151 identified flash drought events, and savannas show highest sensitivity to flash drought. Water use efficiency increases for forests but decreases for cropland and savanna during the recovery stage of flash droughts. These results demonstrate the rapid responses of vegetation productivity and resistance of forest ecosystems to flash drought.
The global middle-atmosphere aerosol model MAECHAM5-SAM2: comparison with satellite and in-situ observations

Abstract. In this paper we investigate results from a three-dimensional middle-atmosphere aerosol-climate model which has been developed to study the evolution of stratospheric aerosols. Here we focus on the stratospheric background period and evaluate several key quantities of the global distribution of stratospheric aerosols and their precursors with observations and other model studies. It is shown that the model fairly well reproduces in situ observations of the aerosol size and number concentrations in the upper troposphere and lower stratosphere (UT/LS). Compared to measurements from the limb-sounding SAGE II satellite instrument, modelled integrated aerosol quantities are more biased the lower the moment of the aerosol population is. Both findings are consistent with earlier work analysing the quality of SAGE II retrieved e.g. aerosol surface area densities in the volcanically unperturbed stratosphere (SPARC/ASAP, 2006; Thomason et al., 2008; Wurl et al., 2010). The model suggests that new particles are formed over large areas of the LS, albeit nucleation rates in the upper troposphere are at least one order of magnitude larger than those in the stratosphere. Hence, we suggest that both, tropospheric sulphate aerosols and particles formed in situ in the LS are maintaining the stability of the stratospheric aerosol layer in the absence of direct stratospheric emissions from volcanoes. Particle size distributions are clearly bimodal, except in the upper branches of the stratospheric aerosol layer where aerosols evaporate. Modelled concentrations of condensation nuclei (CN) are smaller than measured in regions of the aerosol layer where aerosol mixing ratios are largest. This points to an overestimated particle growth by coagulation. Transport regimes of tropical stratospheric aerosol have been identified from modelled aerosol mixing ratios and correspond to those deduced from satellite extinction measurements. We found that convective updraft in the Asian Monsoon region significantly contributes to both stratospheric aerosol load and size. The timing of formation and descend of layers of fine mode particles in the winter and spring polar stratosphere (CN layer) are well reproduced by the model. Where temperatures in the stratosphere increase with altitude, nucleation is unlikely to occur. Nevertheless, in these regions we find a significant concentration of fine mode aerosols. The place of origin of these particles is in the polar stratosphere. They are mixed into the mid-latitudes by planetary waves. There enhanced condensation rates of sulphuric acid vapour counteract evaporation and extend aerosol lifetime in the upper branches of the stratospheric aerosol layer. Measured aerosol precursors concentrations, SO2 and sulphuric acid vapour, are fairly well reproduced by the model throughout the stratosphere.
Hierarchical self-assembly structures of POSS-containing polypeptide block copolymers synthesized using a combination of ATRP, ROP and click chemistry

In this study, we used a combination of atom transfer radical polymerization, ring opening polymerization, and click chemistry to synthesize new organic/inorganic macromolecular self-assembling building blocks of polystyrene-b-poly(γ-propargyl-L-glutamate-g-polyhedral oligomeric silsesquioxane) [PS-b-(PPLG-g-POSS)]. The incorporation of the PS and POSS units enhanced the α-helical conformation in the solid state, as determined using Fourier transform infrared (FTIR) spectroscopy and wide-angle X-ray diffraction (WAXD). Hierarchical self-assembly of the PS-b-(PPLG-g-POSS) diblock copolymers, which we characterized using WAXD, small-angle X-ray scattering, and transmission electron microscopy, led to the formation of cylindrical structures as a result of microphase separation of the diblock copolymer; the hexagonal cylinder packing nanostructure featured α-helical conformations of polypeptide segments, which were oriented perpendicular to the direction of the cylinder column from diblock copolymers; aggregation of the POSS moieties induced the packing into hexagonal lattice structures. The attachment of POSS units onto the side chains of PPLG stabilized the α-helical secondary structures at elevated temperature, relative to those of pure PPLG and PS-b-PPLG, as determined through temperature-dependent FTIR spectroscopic analyses.
The Platform to Evaluate Athlete Knowledge of Sports Nutrition Questionnaire: a reliable and valid electronic sports nutrition knowledge questionnaire for athletes

Abstract Reliable and valid assessment of sports nutrition knowledge can inform athlete nutrition education to address knowledge gaps. This study aimed to test the reliability and validity of an electronically administered sports nutrition knowledge tool – Platform to Evaluate Athlete Knowledge of Sports Nutrition Questionnaire (PEAKS-NQ). A 94-item PEAKS-NQ was piloted to 149 developmental athletes (DA) in New Zealand, with a subset invited to complete the PEAKS-NQ again to assess reliability. Reliability was evaluated using sign test, intraclass correlation and Cronbach’s α. Accredited sports dietitians (ASD; n 255) completed the PEAKS-NQ to establish construct validity via known-groups methodology and provided relevance scores to determine the scale content validity index (S-CVI). Rasch analysis was conducted to identify potentially problematic items and test reliability. Score differences between DA and ASD were analysed using independent t or non-parametric tests. DA (n 88) were 17·8 (sd 1·4) years, 61·4 % female and mostly in high school (94·3 %). ASD (n 45) were 37·8 (sd 7·6) years, 82·2 % female, with >5 years of dietetic experience (59·1 %). ASD scored higher than DA in all sections and overall (91·5 (sd 3·4) v. 67·1 (sd 10·5) %) (P < 0·001). There were no differences between retests (n 18; P = 0·14). Cronbach’s α was 0·86. S-CVI indicated good content validity (0·88). Rasch analysis resulted in a fifty-item PEAKS-NQ with high item (0·91) and person (0·92) reliability. The PEAKS-NQ is reliable and valid for assessing sports nutrition knowledge which could assist practitioners effectively tailor and evaluate nutrition education.
Power Plants, Air Pollution, and Health in Colombia

This paper provides causal estimates of the effects of Colombian fossil-fuel power plants on two dimensions. First, I estimate how electricity generation affects air pollution. Second, I estimate how that air pollution affects mental, respiratory and cardiovascular health. I use the river flows that feed hydroelectric power plants as instruments for electricity generation from fossil-fuel plants, to estimate increases on particulate matter (PM10) and associated health effects. I find that the electricity necessary to meet the monthly demand for 1 million people (116 GWh), is responsible for 2.75 ug/m of PM10, leading to an increase in mental health patients of 6%, and of 9% for respiratory health patients. I show that this has significant economic effects, highlighting that the inclusion of mental health effects increases the total costs by 13%. The total health costs for the 24 million people in my sample, amount to 22 million USD per year, for 1 ug/m of PM10. A cost-benefit analysis of the replacement of coal power plants around Bogota by solar generation, shows that the health benefits outweigh the cost of the tax incentives, with a benefit-cost ratio of 5.9. JEL: Q53, O15, I10, Q40 Preliminary draft: October 27, 2020
Title: It’s been a hard day’s night: A diary study on hardiness and reduced sleep quality among naval cadets. Running head: SLEEP AND HARDINESS IN NAVAL CADETS

A hardy disposition is regarded as an advantage in demanding and stressful environments and is associated with improved military performance. Recent evidence suggests that hardiness may also be related to resilience with respect to sleep disturbances. The aim of the present study is to investigate the moderating role of hardiness in the sleep quality – job performance relationship in a sample of naval cadets during a demanding training exercise. We hypothesize that (1) Hardiness positively influences daily job performance, (2) daily sleep quality positively influences daily job performance, and (3) Hardiness buffers the impact of poor daily sleep quality on daily job performance. A sample of 56 naval cadets first filled in a general questionnaire, and then filled in a daily diary assessing sleep quality during a 30-day SLEEP AND HARDINESS IN NAVAL CADETS 1 training mission across the Atlantic Ocean. Daily job performance was assessed by using peer-ratings. Results of multi-level analyses showed a positive main effect of hardiness on job performance. Hardiness also moderated the sleep quality – job performance relationship. Cadets high (vs. low) on dispositional hardiness were less affected by poor sleep quality, also after controlling for neuroticism. The results suggest that hardiness moderates the effect of poor sleep quality on job performance.
The rotational excitation of NH3 by ortho- and para-H2

Cross-sections have been computed for the excitation of ortho- and para-NH3 by both ortho- and para-H2, using the quantum-mechanical close-coupling method. The dependences of the cross-sections on the rotational state of the H2 molecule and on different determinations of the dispersion energy of interaction are investigated. The results are discussed in the context of recent crossed-beam measurements of NH3–H2 scattering.
Bitcoin Analysis and Forecasting through Fuzzy Transform

Sentiment analysis to characterize the properties of Bitcoin prices and their forecasting is here developed thanks to the capability of the Fuzzy Transform (F-transform for short) to capture stylized facts and mutual connections between time series with different natures. The recently proposed Lp-norm F-transform is a powerful and flexible methodology for data analysis, non-parametric smoothing and for fitting and forecasting. Its capabilities are illustrated by empirical analyses concerning Bitcoin prices and Google Trend scores (six years of daily data): we apply the (inverse) F-transform to both time series and, using clustering techniques, we identify stylized facts for Bitcoin prices, based on (local) smoothing and fitting F-transform, and we study their time evolution in terms of a transition matrix. Finally, we examine the dependence of Bitcoin prices on Google Trend scores and we estimate short-term forecasting models; the Diebold–Mariano (DM) test statistics, applied for their significance, shows that sentiment analysis is useful in short-term forecasting of Bitcoin cryptocurrency.
Nutrient solution techniques for evaluation of iron efficiency of soybean

Abstract The iron (Fe) efficiency of soybean [Glycine max (L.) Merr. ] genotypes generally has been evaluated in the field on calcareous soil. A nutrient‐solution system has been developed to permit evaluation of Fe efficiency throughout the year. The objectives of this study were to assess the effectiveness of nutrient‐solution tests for evaluating the Fe efficiency of soybean genotypes and to evaluate alternative nutrient‐solution techniques that could minimize the cost of labor and chemicals. Five bicarbonate (HCO3 ‐) concentrations and three solution‐change schedules were evaluated in a factorial arrangement. Eight soybean genotypes with a wide range of Fe efficiency were evaluated in each treatment and in replicated field tests on calcereous soil during 3 years. Rank correlation coefficients between mean chlorosis scores of genotypes in nutrient solution and field tests ranged from 0.81 to 0.91 for the three solution‐change schedules and from 0.85 to 0.89 for the five HCO3 ‐ concentrations. Replacing .
DO TRADE-OFF INFLATION AND UNEMPLOYMENT HAPPEN IN INDONESIA?

This study aims to analyze the relationship between inflation and unemployment in Indonesia. This study tries to reexamine whether the Phillips theory, which states the trade-off between inflation and unemployment, occurred in Indonesia over the past 30 years (1988-2017). Data were analyzed using an error correction model (ECM) to see the short-term and long-term relationship between inflation and unemployment. The study found that in the short term, unemployment has a positive effect on inflation but is not significant, meaning there is no tradeoff between unemployment and inflation in Indonesia. But in the long run, unemployment has a negative and significant effect on inflation, meaning there is a trade-off between unemployment and inflation where if unemployment increases, the consequences will reduce the rate of inflation and vice versa if unemployment falls, inflation will increase.
Association of Low HDL of NAFLD Patients With or Without Metabolic Syndrome

Background: Metabolic syndrome describes the co-occurrence of central adiposity, hyperglycemia, hypertension, lipid abnormalities and other metabolic changes that increase risk of cardiovascular, cerebrovascular, renal diseases. Non-alcoholic fatty liver disease (NAFLD) is associated with a substantial increased risk of cardiovascular disease (CVD), which is partly related to low HDL-C level. This multi-system condition has adverse effects on many organs, the liver being one of them. Non-alcoholic fatty liver disease appears to be the hepatic manifestation of metabolic syndrome, and is increasingly recognized as a major contributor to the burden of chronic liver disease world-wide. Objective: To find out the Association of Low HDL of NAFLD Patients With or Without Metabolic Syndrome. Materials and Methods: This is a cross sectional descriptive study which was conducted in the Department of Medicine, Rajshahi Medical College Hospital, Rajshahi, Bangladesh.250 patients age above 20 years nonalcoholic both male and female were included for the study. All patients were interviewed by structured questionnaire. Statistical analysis was carried out by using the Statistical Package for the Social Sciences (SPSS) software version 23.0 for windows (SPSS Inc, Chicago, Illinois, USA). Results: Among 250 respondents a total of 67(26.8%) cases were diagnosed as metabolic syndrome and out of the 67 metabolic syndrome patients 23(34.33%) were male and 44(65.67%) were female. Out of the 23 male metabolic syndrome patients 9(39.13%) were diagnosed as NAFLD and out of the 44 female metabolic syndrome patients 16(36.36%) were diagnosed as NAFLD. Out of the 53 NAFLD patient’s 25 patients were presented with metabolic syndrome and 28 patients were without metabolic syndrome. Patients of NAFLD with metabolic syndrome presented with low HDL in 16(64%) cases. The difference was significant for high-density lipoprotein and waist circumference (p<0.05) between metabolic syndrome and non-metabolic syndrome patients. Conclusion: From the study, it can be concluded that the proportion of NAFLD significantly higher in metabolic syndrome patients compare to non-metabolic syndrome patients and metabolic syndrome is higher in female compare to male. The results of this study indicate that central obesity and dyslipidemia, with low HDL cholesterol, are important associates of NAFLD in patients. Author: of NAFLD patients’ relation to Metabolic Syndrome.
TO ESTABLISH THE EFFECT OF GINGER-JUICE ZINGIBER OFFICINALE (ZINGIBERACEAE) ON IMPORTANT PARAMETERS OF LIPID PROFILE

Investigation of hypolipidimic effects of ginger-juice (ZINGIBER OFFICINALE ROSCOE) in rat. Methods: Albino rats (n=6-12) were administered G.J at single dose (4ml/rat, p.o) as a chronic treatment over period of 21 days. Effect of ginger-juice treatment was studied in rats on the following Lipid profile parameters: 1.Total cholesterol 2. HDL-cholesterol 3. LDL-cholesterol 4. Triglycerides The rats were divided into control and test groups, each group consisting of 6-12 rats. Results: Twenty-one days' treatment with ginger-juice in rats significantly reduced the total serum cholesterol level (136.46 ± 4.06mg/dl of control group to 109.46 ± 3.38mg/dl, P<0.001) and significantly increased the serum HDL-cholesterol (41.82 ± 1.32mgldl of control group to 65.42 ± 1.54mg/dl, P<0.001). LDL-cholesterol and triglycerides remained unaltered. It is found that ginger-juice act as hypolipidaemic agent. Conclusion: Ginger-juice reduced the serum total cholesterol which was observed rise in normal rats administered ginger-juice over period of twenty-one days.
Sorption coefficients of polycyclic aromatic hydrocarbons for two lake sediments: Influence of the bactericide sodium azide

Sorption coefficients (Kps) of a series of polycyclic aromatic hydrocarbons (PAHs) were determined in two Dutch freshwater lake sediments to improve the insight into sorption in the aquatic environment. The influence of experimental factors, such as compound concentration, equilibration time, and influence of a bactericide on Kp, was studied. No significant influence of compound concentration on Kp was found. A contact time of 48 h was sufficient to reach equilibrium between PAHs in the sediment and water phase. In the absence of the bactericide, sodium azide, incomplete mass balances, and high Kp of low molecular weight PAHs were found that were not caused by volatilization from, photodegradation in, or sorption by the test system. In the presence of sodium azide, however, high mass balances and lower Kp were found for these compounds. This suggested that significant biodegradation of these compounds occurred in the water phase in the absence of sodium azide. The organic carbon‐normalized sorption coefficients (Koc) of the PAHs in Lake Oostvaardersplassen were two to three times higher than those in Lake Ketelmeer sediment. Although Koc of the PAHs differed for the two sediments, a clear relationship was found between Koc and the octanol/water partition coefficient for both sediments and between the Koc of both sediments. In conclusion, the methodology to determine Kp of biodegradable compounds should include the prevention of bacterial activity, e.g., by addition of sodium azide. Sorption of PAHs in the Dutch lake sediments is determined by the hydrophobicity of the PAH, the organic carbon content of the sediment, and one or more unspecified sediment‐specific characteristics.