Miracle-dz/UniFAR-FTUs huggingface dataset:
Edrah, Mohamed and Lo, K.L. and Anaya-Lara, Olimpo (2016) Reactive power control of DFIG wind turbines for power oscillation damping

This paper analyses the effect of replacing existing synchronous generators equipped with power system stabilizers (PSS) by DFIG based wind farms on the damping of power system oscillations in a multi-machine power system. A power system stabiliser was designed to enhance the capability of DFIG to damp power systems oscillations. The validity and effectiveness of the proposed controller are demonstrated on the widely used New England 10machine 39-bus test system that combines conventional synchronous generators and DFIG based wind farms using eigenvalue analysis and nonlinear simulation. The nonlinear simulation is used to demonstrate how the damping contribution of DFIG based wind farms is affected by different operating conditions within the same wind farm and stochastic wind speed behaviour. The results show that installing conventional fixed parameters PSS within reactive power control loop of DFIG rotor side converter has a positive damping contribution for a wide range of operating conditions. Furthermore, the results clearly show that DFIG based wind farms equipped with the proposed farm level PSS can damp power system oscillations more effectively than synchronous generators PSS.
A pilot study to examine a therapeutic exercise intervention on fibromyalgia symptoms

A PILOT STUDY TO EXAMINE A THEREAPEUTIC EXERCISE INTERVENTION ON FIBROMYALGIA SYMPTOMS Mara H. Nelson Department of Exercise Sciences Master of Science Objective. To examine the feasibility of a home-based, video therapeutic exercise program on pain, fatigue, self-efficacy, and health status in fibromyalgia patients. Methods. Nine individuals who were previously diagnosed with fibromyalgia completed the study (out of an initial pool of 31). Subjects were randomly assigned to one of two groups: a group who received a home-based therapeutic exercise video and a control group who continued to undergo their current standard of care or “treatment-as-usual. ” The video group was instructed to conduct the exercises as prescribed in the 42-minute video at least 3 times per week for 4 weeks. The treatment-as-usual control group was instructed to continue to undergo their current standard-of-care and to not begin any new treatments during that time. Instruments measuring self-efficacy, pain, fatigue, self-rated health status and health distress were administered at baseline and 4 weeks. Results. None of the variables analyzed showed a significant change between the treatment and control groups over the course of the 4-week study. Conclusion. This study was not sufficiently powered to detect differences between the two groups. However, several of the treatment group participants subjectively indicated that they found the exercises to be helpful in the management of their fibromyalgia symptoms and the program did not exacerbate any of their symptoms. With this information, it appears that patients are able to tolerate the treatment and are able to complete the outcome measures. Between-group clinical outcomes will now need to be assessed in a larger clinical trial.
Comparison study of mesoporous thin films characterized by low-energy positron lifetime spectroscopy and flow-type ellipsometric porosimetry

Flow-type ellipsometric porosimetry (EP) and low-energy positron annihilation lifetime spectroscopy (PALS) were applied to the pore characterization for two types of nanoporous methyl silsesquioxane thin films fabricated on silicon wafers, in order to examine the consistency between the porosities characterized by both techniques. The sizes of the mesopores in the films were evaluated from the respective pore size distributions, obtained using flow-type EP from n-hexane adsorption isotherms at 26 ◦C based on the Barrett-Joyner-Halenda (BJH) model, while the longest-lived ortho-positronium (o-Ps) lifetimes for the films were measured using low-energy PALS at an incident positron energy of 1.5 keV. The relationship between the pore size and the o-Ps lifetime is discussed in comparison with previously reported measurements for various porous substances.
Principles of Faithful Execution in the implementation of trusted objects.

We begin with the following definitions: Definition: A trusted volume is the computing machinery (including communication lines) within which data is assumed to be physically protected from an adversary. A trusted volume provides both integrity and privacy. Definition: Program integrity consists of the protection necessary to enable the detection of changes in the bits comprising a program as specified by the developer, for the entire time that the program is outside a trusted volume. For ease of discussion we consider program integrity to be the aggregation of two elements: instruction integrity (detection of changes in the bits within an instruction or block of instructions), and sequence integrity (detection of changes in the locations of instructions within a program). Definition: Faithful Execution (FE) is a type of software protection that begins when the software leaves the control of the developer and ends within the trusted volume of a target processor. That is, FE provides program integrity, even while the program is in execution. (As we will show below, FE schemes are a function of trusted volume size.) FE is a necessary quality for computing. Without it we cannot trust computations. In the early days of computing FE came for free since the software never left a trusted volume. At that time the execution environment was the same as the development environment. In some circles that environment was referred to as a ''closed shop:'' all of the software that was used there was developed there. When an organization bought a large computer from a vendor the organization would run its own operating system on that computer, use only its own editors, only its own compilers, only its own debuggers, and so on. However, with the continuing maturity of computing technology, FE becomes increasingly difficult to achieve
The Effect of Anger Control Skills Training on Personal Adjustment of Iranian Female Students

The purpose of this study is to examine the effect of anger control skills training on personal adjustment of Iranian female students. For performing this research, an experimental and a pretest-posttest control group design method were applied. For this purpose, from the first year of secondary school girls at Mahshahr City of Iran using multistage cluster sampling 50students selected at randomly to experimental and control groups were handled. The measurement instrument was California Test of Personality (CTP). After collecting and analyzing the data with statistical analysis of covariance and using SPSS software, following results were revealed: The difference between the performance of students, in both control group and the experimental group in personal adjustmentwas significant (P<0.001). Considering the results we can say that training anger control skills interventions plan increase personal adjustment of students.
Astrometric observations of neutron stars

Abstract Precision astrometry can yield model-independent distances and velocities for neutron stars. Such measurements can be exploited, for example, to locate neutron star birth sites, establish reference frame ties, model the Galactic electron density distribution, and constrain the astrophysics of supernova explosions. As a case study, I discuss recent some parallax and proper motion measurements, and their scientific implications for supernova core collapse and the velocities of ordinary pulsars versus magnetars. I also outline the calibration techniques that are enabling sub-milliarcsecond astrometry of neutron stars with VLBI. In the short term, systematic surveys and high sensitivity on very long baselines will produce ongoing science dividends from precision astrometry at radio wavelengths. In the longer term, new technology such as focal plane arrays, new telescopes such as the Square Kilometre Array, and synergy with new instruments such as Gaia, LSST, and GLAST, all hold great promise in an upcoming era of microarcsecond astrometry.
Pyrex Journal of Taxation and Accounting Management

The study is an empirical examination of the causal connection between quantitative accounting information and bond market liquidity on one hand and qualitative attributes of accounting information on the other. The study is motivated by the perceived underperformance of the Nigerian domestic bond market, and therefore, investigates whether accounting data published by corporate and government entities conveys information that will affect bond liquidity thereby impacting on the performance and development of the Nigerian domestic bond market. A Correlation and casual comparative (Ex-post Facto) designs were adopted. Ten years’ published accounting data and bond market turnover of 5 state governments and 5 corporate bonds listed on the bourse of the Nigerian Stock Exchange were extracted for the period 2003-2012. Survey data of eight qualitative accounting information attributes were also obtained from 275 respondent stakeholders in the Nigerian bond market using researcherdesigned questionnaire validated by experts and shown to have a reliability coefficient of . 846. Data were analyzed using multiple regression techniques with the aid of Statistical Package for Social Sciences (SPSS). The findings from the study suggest that quantitative accounting information (DEBTR, INTCR and CURR) variables were shown to have a significant influence on bond market liquidity explaining about 95.2% of changes in the bond market liquidity performance indicator which suggest that published accounting data affects the liquidity of domestic bonds. While a significant variation of about 84.5% explained by qualitative accounting information attributes. This suggests that bond market liquidity is significantly predicted by qualitative accounting information attributes such as Relevance, reliability, comparability, completeness and faithful representation. The result exposed the paucity of accounting information of the high rate of creative accounting practices by government and corporate bond issuers which tend to impair transparency, probity, accountability, and loss of confidence by users of accounting data in the Nigerian bond market. Furthermore, the untimely and in most cases non-disclosure of financial statements by government entities whose bond issues are the dominance of the Nigerian bond market hinders the development and performance of the domestic bond market. The work, therefore, recommends that government and corporate bond issuers should compulsorily disclose at least 10 years’ financial statements to the investing public before accessing the bond market, with strict compliance to post listing regulation requirements of the statutory authorities through the Nigeria Stock Exchange X-issuers portal.
KaM_CRK: Clustering and Ranking Knowledge for Reasonable Results Based on Behaviors and Contexts

A model named KaM_CRK is proposed, which can supply the clustered and ranked knowledge to the users on different contexts. By comparing the attributes of contexts and JANs, our findings indicate that our model can accumulate the JANs, whose attributes are similar with the user’s contexts, together. By applying the KaM_CLU algorithm and Centre rank strategy into the KaM_CRK model, the model boosts a significant promotion on the accuracy of provision of user's knowledge. By analyzing the users' behaviors, the dynamic coefficient BehaviorF is first presented in KaM_CLU. Compared to traditional approaches of K_means and DBSCAN, the KaM_CLU algorithm does not need to initialize the number of clusters. Additionally, its synthetic results are more accurate, reasonable, and fit than other approaches for users. It is known from our evaluation through real data that our strategy performs better on time efficiency and user's satisfaction, which will save by 30% and promote by 5%, respectively.
On the Dynamic Behavior of a Delayed IS-LM Business Cycle Model

In this paper, we formulate a delayed IS-LM model of business cycle. This model is represented by the Gabisch model [2] in considering the Kalecki assumption on time lag investment [5], i.e. there is a time shift after which capital equipment is available for production. A similar idea has been proposed by J. Cai [1], but the main difference with our model is the inclusion of the time delay into capital stock in capital accumulation equation. The dynamics are studied in terms of local stability and of the description of local Hopf bifurcation, that is proven to exist as the delay (taken as a parameter of bifurcation) cross some critical value. Additionally we conclude with an application. Mathematics Subject Classification: 37G15, 91B62
Relating 3D surface displacement from satellite- and ground-based InSAR to structures and geomorphology of the Jettan rockslide, northern Norway

This study combines remote sensing data from groundand satellite-based radar to calculate 3D displacement vectors for the Jettan rockslide, Troms, northern Norway. Using 3D displacement vectors, aspect data and strain rates in conjunction with structure (foliation, faults, fractures), geomorphological elements (ridges, scarps, terraces, depressions), topography and borehole data, we identify zones undergoing displacement, e.g., extension and compression, displacement intoor out-of-the-slope and/or various degrees of tilting. Our results show variable 3D displacement velocities, from north to south, that segment the rockslide into distinct domains. Displacement patterns are structurally controlled, as spatial variation in azimuth and plunge of 3D displacement vectors can be related to variation in attitudes of the host-rock foliation, faults and fractures. In the north, a complex graben system surrounded by orthogonal NW–SE and NE–SW-trending geomorphological elements, shows a repeated stepping 3D displacement pattern. This may indicate a complex fault geometry at depth, including stepped and discontinuous slide surfaces. We interpret 3D displacement into-the-slope in the upper part, and out-of-the-slope in the lower part, to be back-rotation of antithetic blocks with planar fractures becoming curved/listric gliding surfaces with depth. Downslope reduction in velocity indicates compression and stacking of blocks. In the southern area, N–S-trending geomorphological elements are arranged parallel to the hillslope. 3D displacement vectors show a more homogenous displacement pattern indicating movement along planar, hillslope-parallel, fracture sets at depth. We propose a structuralcontrolled slope displacement model including alternate planarand wedge-failure, in addition to displacement along planar and listric fractures merging into foliation at depth. Using the Jettan rockslide as a case study, we show how remote sensing data may aid examination of structural and topographic controls on rockslide kinematics, thus giving new insights into subsurface geometry
The Long-Term Impact of Sales Promotions on Customer Equity

Sales promotion is an instrument whose effectiveness for short- term sales is proven (Blattberg and Neslin, 1990). But for the long term, researchers have identified adverse effects without managing to actually determine its impact (Van Heerde et al, 2004). While most investigations analyze the effects of promotions on sales, it is important to consider the global impact, i.e. on the customer portfolio. Although several authors have taken up this issue (Fader and Hardie, 2010; Abe, 2009b), no contri- bution has integrated the entire portfolio development: customer acqui- sition, activity of existing customers and churn. This research, therefore, contributes by establishing a long-term vision of the impact of sales promotions on the value of the customer portfolio (customer equity), not just on sales. We combine explanatory and stochas- tic approaches via the integration of explanatory variables. The second contribution is the application of these models to fast moving consumer goods, a sector that has thus far been over-looked by existing research.
Oil Exploration Using Soft Computing

Soft computing (SC) techniques provide wide variety of applications in data processing, analysis and interpretation. SC play a key role in the geo sciences due to the immense size and uncertainty associated with the data. The nature of SC assesses oil industry in oil exploration and optimization of oil wells. There is a significant change in oil industry due to the complex techniques and modern equipment. Intelligent systems like Neuro computing and Artificial Intelligence are available for the exploration of oil and popular evolutionary algorithms have effective methods for the optimization of oil wells but processing of vague data create problems for the existing techniques. Uncertainty data plays a crucial role to take vital decisions. The research uses seismic data in the process of oil exploration and compared the proposed method with the existing methods and results are favorable to the proposed research.
Room temperature negative differential capacitance in self-assembled quantum dots

The negative differential capacitance (NDC) of Schottky diodes with layers of InAs quantum dots (QDs) has been clearly observed at room temperature. The frequency dependence of the NDC is investigated. The measured peak capacitances of NDC decay rapidly at the testing frequencies higher than a few kilohertz. A kinetic model considering the testing signal is proposed and the capture rates of QDs are extracted. The simulation result is quantitatively consistent with the experimental data when the charging effect in QDs is included.
The Influence of Social and Living Environment on Development of Oral Hygiene Habits in People Over The Age of 65

Abstract Introduction. Oral health largely depends on proper hygiene, which in elderly people is not different from generally accepted standards, however, must be adjusted to specific conditions in oral cavities of the elderly. Aim. The aim of the study was the assessment of oral hygiene habits in people over the age of 65 residing in Lublin Nursing Homes and in family homes basing on questionnaire survey. Material and methods. The study was conducted among 240 people over the age of 65: 117 residents of the four Lublin Nursing Homes (group I) and 123 seniors living in their own homes in Lublin (group II). Assessment of the oral hygiene habits was conducted basing on the questionnaire survey concerning the frequency of tooth brushing, type of toothpaste, the use of additional oral aids as well as the frequency of toothbrush replacement. Results. Questionnaire survey revealed that seniors residing in Nursing Homes who had their own teeth most frequently brushed them once daily e.g. 37.25%, whereas the surveyed who lived in their family homes twice daily – 47.67%. In both groups the people who brushed their teeth used fluoride toothpastes. Additional oral hygiene aids were used by 31.71% of the surveyed living with their families. Both, the residents of Nursing Homes and those who lived with their families most frequently reported replacing their toothbrushes at least every 3 months. Conclusions. Nursing Homes residents essentially more frequently revealed considerable neglect and irregularities in oral hygiene in comparison to seniors living with their families. Population of elderly people, especially residents of nursing homes, should be provided with complex dental care.
Integrated proteomics and biological assays for characterization of non-nutritional effects of butyric acid on intestinal cells

The non-nutritional effects of butyric acid on human intestinal epithelial cells were characterized by integration of biological assays and 2-dimensional gel-based proteomics for characterization of cellular protein expression. Human colonic adenocarcinoma (Caco-2) cells were cultured with sodium butyrate (NaB), foetal calf serum (fast-growing cells) or basal medium alone (control cells). Biological assays showed that butyric acid decreased cell proliferation and induced apoptosis. Principal component analysis of proteomic results showed that protein expression in NaB-treated cells was different from both control and fast-growing cells. Significantly different expressed proteins were characterized by mass spectrometry.
Faster techniques to evolve wavelet coefficients for better fingerprint image compression

In this article, techniques have been presented for faster evolution of wavelet lifting coefficients for fingerprint image compression (FIC). In addition to increasing the computational speed by 81.35%, the coefficients performed much better than the reported coefficients in literature. Generally, full-size images are used for evolving wavelet coefficients, which is time consuming. To overcome this, in this work, wavelets were evolved with resized, cropped, resized-average and cropped-average images. On comparing the peak- signal-to-noise-ratios (PSNR) offered by the evolved wavelets, it was found that the cropped images excelled the resized images and is in par with the results reported till date. Wavelet lifting coefficients evolved from an average of four 256 × 256 centre-cropped images took less than 1/5th the evolution time reported in literature. It produced an improvement of 1.009 dB in average PSNR. Improvement in average PSNR was observed for other compression ratios (CR) and degraded images as well. The proposed technique gave better PSNR for various bit rates, with set partitioning in hierarchical trees (SPIHT) coder. These coefficients performed well with other fingerprint databases as well.
Airborne hydrogen cyanide measurements using a chemical ionisation mass spectrometer for the plume identification of biomass burning forest fires

Abstract. A chemical ionisation mass spectrometer (CIMS) was developed for measuring hydrogen cyanide (HCN) from biomass burning events in Canada using I− reagent ions on board the FAAM BAe-146 research aircraft during the BORTAS campaign in 2011. The ionisation scheme enabled highly sensitive measurements at 1 Hz frequency through biomass burning plumes in the troposphere. A strong correlation between the HCN, carbon monoxide (CO) and acetonitrile (CH3CN) was observed, indicating the potential of HCN as a biomass burning (BB) marker. A plume was defined as being 6 standard deviations above background for the flights. This method was compared with a number of alternative plume-defining techniques employing CO and CH3CN measurements. The 6-sigma technique produced the highest R2 values for correlations with CO. A normalised excess mixing ratio (NEMR) of 3.68 ± 0.149 pptv ppbv−1 was calculated, which is within the range quoted in previous research (Hornbrook et al., 2011). The global tropospheric model STOCHEM-CRI incorporated both the observed ratio and extreme ratios derived from other studies to generate global emission totals of HCN via biomass burning. Using the ratio derived from this work, the emission total for HCN from BB was 0.92 Tg (N) yr−1.
Comparing different interpolation methods on two-dimensional test functions

In the context of computer experiments a common way of dealing with expensive simulation models is to evaluate the simulation at a number of well designed input values and to replace the simulation by an easy to calculate surrogate model. Then the surrogate model is used for optimization, sensitivity analysis or other applications at hand. The surrogate model has to interpolate the observations as there is usually no random error for computer experiments. There exist different multivariate interpolation methods which can be applied as surrogate model. The aim here is to provide a comparison of four of these: Kriging, Kernel interpolation, Natural neighbor interpolation and Thin plate splines. The article is organized as follows: After a short review of the four interpolation methods, in Section 2 details of the chosen designs are explained and the interpolation methods are compared to each other in Section 3. A summary concludes our article.