Miracle-dz/UniFAR-FTUs huggingface dataset:
Decentralized Fuzzy PID Excitation controller Combined with Turbine Regulating for Voltage Stability in Power Systems

This study deals with the design of a decentralized fuzzy proportional-integral-derivative (PID) excitation controller combined with turbine regulating to enhance the voltage stability in power systems after start-up or sudden disturbances. Based on the turbine regulating, we design the fuzzy PID (FPID) excitation controller combined with turbine regulating (FPID-TR). Simulation results show the effectiveness of the proposed controller for stabilizing the voltage in power systems. Streszczenie. W artykule opisano sterownik PID wzbudzenia polączony z regulacją turbiny zastosowany w celu poprawy stabilności systemu energetycznego przy naglych zakloceniach. Sterownik wykorzystuje logike rozmytą. (Sterownik PID wzbudzenia polączony z regulacją turbiny w celu poprawy stabilności systemu energetycznego)
KINETICS OF GAS HYDRATE FORMATION FROM PYROLYSIS GAS IN WATER-IN-OIL EMULSION SYSTEM

The experiments on gas hydrate formation kinetics of ethylene pyrolysis gas in the water-in-oil emulsion were carried out in a batch stirred reactor at pressures of 4 MPa and 5 MPa and temperatures of 270.15 K and 274.15 K. The influence of temperature and pressure on hydrate formation rate was studied, respectively. The kinetic model by Firoozabadi et al. coupled with the Chen-Guo hydrate model was used to predict the rate of gas hydrate formation for the gas mixtures by using pure gas data. The kinetic algorithm of absorption-hydration for the gas mixture in the water-in-oil emulsion was developed, which involved vapor-liquid-liquid-hydrate four phase equilibrium. The study revealed that the hydrate formation rate is much faster in the emulsion than that in pure water. The experimental data and the modeling work are of value for the design of hydrate separation reactor.
IIIT Hyderabad's CLIR experiments for FIRE-2008

This paper discourses our CLIR experiments performed for the FIRE 1 workshop. We had submitted our runs for Adhoc monolingual document retrieval in Hindi and English, and Ad-hoc cross-lingual document retrieval from Hindi to English, and English to Hindi. In this paper, we describe our English to Hindi and Hindi to English CLIR systems and the experiments conducted on them using the FIRE2008 dataset. We had used a dictionary-based approach of query translation and transliteration of named entities in the queries using a mapping-based, Compressed Word Format(CWF) algorithm[1]. Disjunctive Query formulation with dierent scoring weights based on the part of the topic from which they originated gave us overall better performance.
Observations of nonlinear runup patterns on plane and rhythmic beach morphology

[1] Application of nonlinear forecasting and bispectral analysis to video observations of runup over cuspate topography shows that these alongshore patterns in the morphology are accompanied by changes to the fundamental behavior of the runup time series. Nonlinear forecasting indicates that at beach cusp horns, the behavior of swash flow is more predictable and global (meaning that characteristics of individual swash events are well represented by the behavior of the time series as a whole). Conversely, at beach cusp bays, the behavior of swash flow is less predictable and more local (meaning that the characteristics of individual swash events are best represented by the behavior of a small fraction of the time series). Bispectral analysis indicates that there is a nonlinear transfer of energy from the incident wave frequency f to the infragravity frequency ∼f/2 which only occurs in the bay, suggesting that the local behavior is caused by interactions between successive swash cycles which are magnified by channeling caused by the beach cusp geometry. The local behavior and the bispectral signatures are not present in offshore measurements, and they are not present in runup time series collected when the beach was planar. These results provide evidence that interactions between successive runups are a fundamental characteristic of beach cusp bays. Ultimately, these interactions could lead to the growth of an infragravity wave with an alongshore wavelength forced by the presence of beach cusps.
Stock Market Simulation for Volatility Analysis Inspired on Ideal Gas: an Intelligent Agent Approach

This paper proposes a simulation environment for stock mark et analysis that uses intelligent agents. The behavior of the environment is defined by the ideal gas theory and the id ea is to analyze the fluctuation of the stock markets and also t he distribution of the gains and losses of the agents. The movem ent of the market can be estimated by a measure called volatil ity, which is defined by the difference between two stock prices in distinct periods. It characterizes the sensibility of a mar ket change in the world economy. Thus, the contributions of this paper a r : i) it is proposed a simulation framework of the stock mark et dynamics based on intelligent agents; ii) the volatility dy namics of the financial world indexes is analyzed; iii) a rela tionship between the volatility of the markets, the distribution of g ains and losses of the agents and the coefficient of the expone ntial function based on the ideal gas theory of Maxwell-Boltzmann is pr oposed. In the experimental study, fifteen world market inde xes were chosen to guide the simulation of the stock prices.
Marginal Deadweight Loss with Nonlinear Budget Sets

Most theoretical work on how to calculate the marginal deadweight loss has been done for linear taxes and for variations in linear budget constraints. However, most income tax systems are nonlinear, generating nonlinear budget sets. A usual procedure to calculate the marginal deadweight loss for variations in nonlinear income taxes has been to linearize the nonlinear budget constraint. Our main theoretical result is that the overall curvature of the tax system plays is as important as the curvature of indierence curves when computing deadweight loss measures. Using numerical simulations calibrated on US data, we then show that the apparently innocuous linearization may lead to a substantially large overestimation of the marginal deadweight loss.
Assessing the performance of innovation platforms in crop-livestock agro-ecosystems in the Volta basin

To enhance integrated rainwater management in crop-livestock systems in the Volta basin of Burkina Faso, innovation platforms (IP) comprising of multiple stakeholders were established in the districts of Koubri and Ouahigouya. Quarterly IP meetings were organized to collectively identify and prioritize constraints and opportunities, and to design and implement strategies to address them. IP represents an example of putting the agricultural innovations systems’ perspective into practice. Several studies have evaluated the performance of IPs, but these are often based on external (mainly qualitative) assessments during mid-term and/or end evaluation. In this study we are interested in how key processes develop over time and how this is perceived by participants themselves, since this determines the participation and commitment of stakeholders and hence the success of the IP. To ensure adequate documentation of IP processes and activities, several monitoring and evaluation tools were developed. This paper focuses on the assessment of the IP performance in terms of consistency of participation across meetings and stakeholder groups, relevance of identified issues, information exchange, conflict resolution, participation in decision making, facilitation, and perceived benefits. For all the indicators used to assess the IP, the mean scores tended to increase with the lifespan of the IPs. This reaffirms that the IP is perceived as valuable by its members as a way to enhance agricultural development. At the same time though an IP is not a “quick-win”, but takes time to mature for it to become fully functional and achieve desired outcomes. Key words: Agricultural development, innovation systems, crop-livestock systems, social learning, Volta basin.
Studies on the effects of different chemical additives on the nutritive value of ensiled barley distillers grain (BDG) using in vitro techniques

An experiment was carried out to evaluate four different acids as additives (Lactic: C3H6O3, Acetic: CH3COOH, Hydrochloric: HCl and Sulfuric:H2SO4 acid) and a control group (without any additive) for their effects on chemical composition, in vitro gas production and in situ dry matter disappearance of ensiled barley distillers grain (BDG). Dry matter (DM) content of ensiled BDG ranged from 22.12 to 23.85 %, Crude protein (CP), Ash content, Neutral detergent fiber (NDF) and Acid detergent fiber (ADF) ranged from 22.70 to 23.55 % DM, 3.62 to 5.47% DM, 47.30 to 58.40 % DM and 37.45 to 39.45% DM respectively. BDG treatment with sulfuric acid, significantly influenced the NDF and ADF contents than other treatments (p<0.05), so this parameters decreased than those of control group. Treatment of BDG with 0.5% sulfuric acid had the lowest NH3-N and pH than the corresponding control group (P<0.05). There was a higher content of effective degradability (ED) and dry matter disappearance (24hours) for this treatment (0.5% Sulfuric acid). All gas production parameters such as cumulative gas production (after 24, 48 and 96 h) and constant rate of gas production (Cgas) were highest for ensiled BDG with 0.5% sulfuric acid compared to those of control group (p<0.05). It appears that a low level of chemical additives (especially sulfuric acid) may be effective to improve nutritive value of ensiled BDG.
Polymorphism of BTN and GHR genes and its impact on bulls' breeding value for milk production traits

The aim of the study was to estimate the effect of the butyrophilin (BTN) and growth hormone receptor (GHR) gene polymorphisms on the breeding value of genotyped AI bulls for milk production traits. A total of 131 Holstein-Friesian bulls were analysed. The following allele frequencies have been found: 0.88 (L) and 0.12 (A) at the BTN locus, and 0.85 (S) and 0.15 (G) at the GHR locus. The effect of genotype on milk yield and composition was tested in the group of 101 AI proven bulls. Because the number of A/A and G/G animals was very low, the gene-trait association analysis was reduced to the comparison of two remaining genotypes at each locus. No significant association has been found. However, bulls with the L/L genotype at the BTN gene were characterized by a higher breeding value for milk fat content than animals with the L/A genotype (P≤0.1).
Downscaling Maximum Temperatures to Subkilometer Resolutions in the Shenandoah National Park of Virginia, USA

Downscaling future temperature projections to mountainous regions is vital for many applications, including ecological and water resource management. In this study, we demonstrate a method to downscale maximum temperatures to subkilometer resolutions using the Parameter-elevation Regression on Independent Slopes Model (PRISM). We evaluate the downscaling method with observations from a network of temperature sensors deployed along western and eastern slopes of Virginia’s Shenandoah National Park in the southern Appalachian Mountains. We find that the method overestimates mean July maximum temperatures by about 2°C (4°C) along the western (eastern) slopes. Based on this knowledge, we introduce corrections to generate maps of current and future maximum temperatures in the Shenandoah National Park.
The Interactive Effect of Monitoring and Incentive Alignment on Agency Costs

The effectiveness of monitoring and incentive alignment as mechanisms for controlling agency costs have been explored separately and in combination, with monitoring substituting for weaknesses in incentive alignment and vice versa; this equates to positive substitution when describing how monitoring and incentive alignment interact to influence shareholder agency costs. We draw upon behavioral agency theory and findings from finance research to offer further theoretical insight into how these mechanisms interact to influence agency costs. Our results suggest that CEO earnings management aimed at preserving their equity wealth (an incentive alignment mechanism) is accentuated by higher levels of concentrated institutional ownership, thereby imposing agency costs on less informed investors. Thus, in addition to being substitutes in controlling agency costs, as previously suggested, monitoring may accentuate the perverse effects of incentive alignment, equating to negative reinforcement, rather than positive substitution. Yet this effect is negated in the absence of CEO power due to dual occupation of the board and CEO roles. We discuss implications of these findings for theory and practice.