nils-herrmann/clean_scirepeval huggingface dataset:
Oil Drilling Rig Diesel Power plant Fuel Efficiency Improvement Potentials through Rule Based Generator Scheduling and Utilization of Battery Energy Storage System

This paper presents the development of a rule based energy management control strategy suitable for isolated diesel power plants equipped with a battery energy storage system for peak load shaving. The proposed control strategy includes the generator scheduling strategy and peak load leveling scheme based on current microgrid active and reactive power requirements. In order to investigate the potentials for fuel expenditure reduction, 30 days worth of microgrid power flow data has been collected on an isolated land based oil drilling rig powered by a diesel generator power plant, characterized by highly variable active and reactive load profiles due to intermittent engagements and disengagements of high power electric machinery such as top drive, draw works and mud pump motors. The analysis has indicated that by avoiding the low power operation of individual generators and by providing the peak power requirements (peak shaving) from a dedicated energy storage system, the power plant fuel efficiency may be notably improved. An averaged power flow simulation model has been built, comprising the proposed rule based power flow control strategy and the averaged model of a suitably sized battery energy storage system equipped with grid tied power converter and state of charge control system. The effectiveness of the proposed rule based strategy has been evaluated by means of computer simulation analysis based on drilling rig microgrid active and reactive power data recorded during the 30 day period. The analysis has indicated that fuel consumption of thus modified drilling rig diesel generator power plant can be reduced by about 12% compared to current practice in the field relying on human operator based decision making, which would also result in proportional reduction of carbon dioxide emissions. Finally, the analysis has also shown that the return of investment period for the considered battery energy storage system might be between one and two years depending on the power plant utilization (duty) ratio.
Emission Control Diesel Power Plant for Reducing Oxides of Nitrogen through Selective Catalytic Reduction Method using Ammonia

The major pollutant that comes out from engine exhaust of Diesel Power Plant (DPP) is Nitrogen Oxide (NO x )as well as Sulphur oxides (SO x Since NOx concentration level is higher it affects our environment to great extent. Our main objective of our project is to reduce NO x concentration level to lower rate of parts per million (ppm) Methods/Statistical Analysis The NO x concentration level is higher in DPP as they didn't install any NO x control methods. We suggested using Selective Catalytic Reduction (SCR) method for controlling NO x emission. Ammonia (NH 3 is making use of reagent in SCR technique and it is inject to the exhaust stream.  NH 3 reacts with NO x present in the exhaust and it is converted into Nitrogen (N 2 and water (H 2 O) It is proposed that, if SCR system is installed in Diesel Power Plant, NOx concentration level is expected to reduce from 1100 ppm to 132 ppm.  If The proposed system is implemented successfully in the power plant, then NOx concentration level could be reduced to approximately 132ppm <2 g kWh)
Modelling simulation of a grid connected hybrid power plant with photovoltaic, wind diesel power for Cox's Bazar
Venue: 2016 2nd International Conference on Electrical, Computer Telecommunication Engineering (ICECTE)

This paper emphasis on establishing a hybrid power plant which consists of two renewable sources photovoltaic, wind energy and non renewable diesel source for the production of energy to contribute national power demand in Bangladesh. Solar power wind power are our main source and diesel power is used as a standby power. If we will not able to fulfil our target demand, then we will use diesel energy. We consider renewable source because it provides clean energy. On the other hand, non renewable sources such as, oil, coal, gas will finish approximately within next 20 years. So, it is very necessary for us to find out new source of energy to overcome our power crisis. In this proposed system we came up with an idea to establish an environment friendly power plant combining Photovoltaic and wind energy at various sea shores throughout the country. For design and optimization, we have chosen Cox's Bazar sea shore where wind flow is available as well as solar radiation is optimal. The system is connected to national grid for contributing our national electricity demand.
Analysis of longitudinal data from animals with missing values using SPSS
Venue: Nature Protocols

Testing of therapies for disease or injury often involves the analysis of longitudinal data from animals. Modern analytical methods have advantages over conventional methods (particularly when some data are missing) yet they are not used widely by preclinical researchers. Here we provide an easy to use protocol for the analysis of longitudinal data from animals, and we present a click by click guide for performing suitable analyses using the statistical package IBM SPSS Statistics software (SPSS) We guide readers through the analysis of a real life data set obtained when testing a therapy for brain injury (stroke) in elderly rats. If a few data points are missing, as in this example data set (for example, because of animal dropout) repeated measures analysis of covariance may fail to detect a treatment effect. An alternative analysis method, such as the use of linear models (with various covariance structures) and analysis using restricted maximum likelihood estimation (to include all available data) can be used to better detect treatment effects. This protocol takes 2 h to carry out.
A gender perspective on gambling clusters in Sweden using longitudinal data

This study describes five groups of gamblers and changes in their gambling involvement and gambling problems over four years with a particular focus on whether gambling problems among men and women develop differently within the five groups.  The study sample is a subset of participants from the Swedish Longitudinal Gambling Study (Swelogs) Six different clusters of past year gambling, based on frequency of participation in the nine most common forms of gambling in Sweden (lotteries, horses, number games, sports games, bingo, poker, slot machines, casino games or TV contests) were identified in Two Way Cluster Analysis after the first wave of data collection in 2008/09. There were 2,508 individuals identified in EP1 (n=5,012) who then also participated in waves EP2 and EP3 and were selected for the present analysis.  Statistical analysis was done in SPSS 22.0 using Pearson's Chi Square test of Independence (or Fisher's Exact test when the requirements or expected frequency were not met for Pearson's Test) Mann Whitney U test and logistic regression. P values below 0.05 were regarded as significant.  Gambling remains gendered in Sweden. Even though the clusters are based on gambling activities, there are differences between men and women within the clusters as regards the gambling participation patterns.  Men and women gamble differently, but they may still be equals in their total experience of gambling and in relation to how their gambling problems develop. All differences need to be taken into consideration when preventive actions or messages are created.
Developmental Patterns of Adverse Childhood Experiences and Current Symptoms and Impairment in Youth Referred For Trauma Specific Services
Venue: Journal of abnormal child psychology

By the time children reach adolescence, most have experienced at least one type of severe adversity and many have been exposed to multiple types. However, whether patterns of adverse childhood experiences are consistent or change across developmental epochs in childhood is not known. Retrospective reports of adverse potentially traumatic childhood experiences in 3 distinct developmental epochs (early childhood, 0 to 5 years old; middle childhood, 6 to 12 years old; and adolescence, 13 to 18 years old) were obtained from adolescents (N 3485) referred to providers in the National Child Traumatic Stress Network (NCTSN) for trauma focused assessment and treatment. Results from latent class analysis (LCA) revealed increasingly complex patterns of adverse/traumatic experiences in middle childhood and adolescence compared to early childhood. Depending upon the specific developmental epoch assessed, different patterns of adverse/traumatic experiences were associated with gender and with adolescent psychopathology (e.g. internalizing/externalizing behavior problems) and juvenile justice involvement. A multiply exposed subgroup that had severe problems in adolescence was evident in each of the 3 epochs, but their specific types of adverse/traumatic experiences differed depending upon the developmental epoch. Implications for research and clinical practice are identified.
Spirituality and creativity of indigenous societies in Brazil and their legacy to Brazilian culture and creative giftedness

This paper explores connections between spirituality and creativity in indigenous communities, and their link to spiritual intelligence. Some spiritual and creative characteristics of Brazilian indigenous peoples are described, as well as their legacy to Brazilian culture and creative giftedness. The paper concludes that Brazilian people have inherited a rich imagination, permeable culture, and many animist elements from the indigenous societies, which are factors that contribute to creative expression and the blossoming of spiritual intelligence.
Mining Meaning from Online Ratings and Reviews Tourist Satisfaction Analysis Using Latent Dirichlet Allocation

Consumer generated content has provided an important new information medium for tourists, throughout the purchasing lifecycle, transforming the way that visitors evaluate, select and share experiences about tourism. Research in this area has largely focused on quantitative ratings provided on websites. However, advanced techniques for linguistic analysis provide the opportunity to extract meaning from the valuable comments provided by visitors. In this paper, we identify the key dimensions of customer service voiced by hotel visitors use a data mining approach, latent dirichlet analysis (LDA) The big data set includes 266,544 online reviews for 25,670 hotels located in 16 countries. LDA uncovers 19 controllable dimensions that are key for hotels to manage their interactions with visitors. We also find differences according to demographic segments. Perceptual mapping further identifies the most important dimensions according to the star rating of hotels. We conclude with the implications of our study for future research and practice.
Smooth Newton method to absolute value equation based on lower uniform smoothing approximation function

We investigate the NP hard absolute value equation (AVE) Ax |x|=b, where A is an arbitrary square matrix whose singular values exceed one. The significance of the absolute value equations arises from the fact that linear programs, quadratic programs, bimatrix games and other problems can all be reduced to the linear complementarity problem that in turn is equivalent to the absolute value equation. In this paper, after a lower uniform smooth approximation function of absolute value function is established, absolute value equation is transformed into smooth optimization problem, and solved by smoothing Newton method. The convergence of method is shown, and the preliminary numerical experiments are given.
Approximation in Hermite spaces of smooth functions
Venue: J. Approx. Theory

We consider \mathbb{L}_2$ approximation of elements of a Hermite space of analytic functions over \mathbb{R}^s$ The Hermite space is a weighted reproducing kernel Hilbert space of real valued functions for which the Hermite coefficients decay exponentially fast. The weights are defined in terms of two sequences \boldsymbol{a} {a_j\ and \boldsymbol{b} {b_j\ of positive real numbers. We study the $n$th minimal worst case error $e(n,\rm APP}_s;\Lambda^\rm std} of all algorithms that use $n$ information evaluations from the class \Lambda^\rm std} which only allows function evaluations to be used. We study (uniform) exponential convergence of the $n$th minimal worst case error, which means that $e(n,\rm APP}_s; \Lambda^\rm std} converges to zero exponentially fast with increasing $n$ Furthermore, we consider how the error depends on the dimension $s$ To this end, we study the minimal number of information evaluations needed to compute an \varepsilon$ approximation by considering several notions of tractability which are defined with respect to $s$ and \log \varepsilon^ 1} We derive necessary and sufficient conditions on the sequences \boldsymbol{a} and \boldsymbol{b} for obtaining exponential error convergence, and also for obtaining the various notions of tractability. It turns out that the conditions on the weight sequences are almost the same as for the information class \Lambda^\rm all} which uses all linear functionals. The results are also constructive as the considered algorithms are based on tensor products of Gauss Hermite rules for multivariate integration. The obtained results are compared with the analogous results for integration in the same Hermite space. This allows us to give a new sufficient condition for EC weak tractability for integration.
Proposal of a Tangible User Interface to Enhance Accessibility in Geological Exhibitions and the Experience of Museum Visitors

Currently, the museums use different interactive technologies to communicate their exhibitions; however, it turns out that in most cases, information is not accessible to all members of the public. In this paper we present the design of a tangible user interface to enhance accessibility in geological exhibitions, specifically for the case of visitors with visual impairments, and we also present the study's results about how to improve the experience of those who visit museums, using this tangible media technology as an exhibitor for samples. The results showed that the interaction with the interface pleased the visitors and that it has application space within geological exhibitions.
Prostate Cancer, Version 1.2016.
Venue: Journal of the National Comprehensive Cancer Network JNCCN

The NCCN Guidelines for Prostate Cancer address staging and risk assessment after an initial diagnosis of prostate cancer and management options for localized, regional, and metastatic disease. Recommendations for disease monitoring, treatment of recurrent disease, and systemic therapy for metastatic castration recurrent prostate cancer also are included. This article summarizes the NCCN Prostate Cancer Panel's most significant discussions for the 2016 update of the guidelines, which include refinement of risk stratification methods and new options for the treatment of men with high risk and very high risk disease and progressive castration naive disease.
BER performance of OFDM based wireless services over radio on FSO links in the presence of turbulence and pointing errors
Venue: 2016 8th International Symposium on Telecommunications (IST)

Recently the transmission of multiple radio frequency (RF) signals over fiber link, referred to as radio over fiber (RoF) has achieved a great deal of research interest. In case where deployment of optical fiber is not feasible, the new generation of free space optical (FSO) systems can be used to transmit RF signals, that is referred to as radio over FSO (RoFSO) In this paper, we study the BER performance of a RoFSO system based on orthogonal frequency division multiplexing (OFDM) scheme with quadrature amplitude modulation (QAM) when the optical beam is experiences the FSO link is affected by gamma gamma atmospheric turbulence and misalignment errors (pointing errors) We derive a novel closed form BER of the RoFSO M QAM OFDM system, when both atmospheric turbulence and pointing errors.
Investigation on iterative multiuser detection physical layer network coding in two way relay free space optical links with turbulences and pointing errors.
Venue: Applied optics

Physical layer network coding (PNC) improves the throughput in wireless networks by enabling two nodes to exchange information using a minimum number of time slots. The PNC technique is proposed for two way relay channel free space optical (TWR FSO) communications with the aim of maximizing the utilization of network resources. The multipair TWR FSO is considered in this paper, where a single antenna on each pair seeks to communicate via a common receiver aperture at the relay. Therefore, chip interleaving is adopted as a technique to separate the different transmitted signals at the relay node to perform PNC mapping. Accordingly, this scheme relies on the iterative multiuser technique for detection of users at the receiver. The bit error rate (BER) performance of the proposed system is examined under the combined influences of atmospheric loss, turbulence induced channel fading, and pointing errors (PEs) By adopting the joint PNC mapping with interleaving and multiuser detection techniques, the BER results show that the proposed scheme can achieve a significant performance improvement against the degrading effects of turbulences and PEs. It is also demonstrated that a larger number of simultaneous users can be supported with this new scheme in establishing a communication link between multiple pairs of nodes in two time slots, thereby improving the channel capacity.
Porous Mn3O4 nanorod/reduced graphene oxide hybrid paper as a flexible and binder free anode material for lithium ion battery

A highly flexible and free standing, porous Mn3O4 nanorod/reduced graphene oxide (pMn3O4 NR/rGO) paper was prepared by a two step process: vacuum filtration and thermal treatment. The MnOOH nanorod/graphene oxide (MnOOH NR/GO) paper obtained by a simple filtration method is transformed into pMn3O4 NR/rGO paper after a thermal reduction process. A unique lamellar structure was achieved with pMn3O4 NR homogeneously intercalated within the GO layers. In the hybrid structure, graphene nanosheets provide a conductive pathway and act as the buffer layers to prevent the pulverization of pMn3O4 NRs during reaction. Therefore, when used as the anode in lithium ion batteries, this pMn3O4 NR/rGO paper exhibits a first high discharge capacity of 943 mA h g 1, which quickly stabilizes and remains at 573 mA h g 1 even after 100 cycles at 100 mA h g 1, which is much higher than the discharge capacity of the corresponding pristine graphene paper (183 mA h g 1)
Cooperative control of a nonuniform gantry crane with constrained tension
Venue: Autom.

In this paper, the control problem is addressed for a hybrid PDE ODE system that describes a nonuniform gantry crane system with constrained tension. A bottom payload hangs from the top gantry by connecting a flexible cable. The flexible cable is nonuniform due to the spatiotemporally varying tension applied to the system. The control objectives are: (i) to position the payload to the desired setpoint, (ii) to regulate the transverse deflection of the flexible cable, and (iii) to keep the tension values remaining in the constrained space. Cooperative control laws are proposed and the integral barrier Lyapunov functions are employed for stability analysis of the closed loop system. Adaption laws are developed for handling parametric uncertainties. The bounded stability is guaranteed through rigorous analysis without any simplification of the dynamics. In the end, numerical simulations are displayed to illustrate the performance of the proposed cooperative control.
Faster dispersive liquid liquid microextraction methods using magnetic ionic liquids as solvents.
Venue: Journal of chromatography. A

Three hydrophobic magnetic ionic liquids (MILs) containing the tetrachloromanganate(II) (MnCl4(2 anion, namely, aliquat tetrachloromanganate(II) [Aliquat(]2[MnCl4(2 methyltrioctylammonium [MnCl4(2 [N1,8,8,8(]2[MnCl4(2 and trihexyltetradecylphosphonium [MnCl4(2 [P6,6,6,14(]2[MnCl4(2 were employed as extraction solvents in DLLME coupled to high performance liquid chromatography (HPLC) employing UV detection. The MILs were developed with the features of magnetic susceptibility to permit rapid retrieval of the extraction solvent, hydrophobicity to allow for phase separation from water, and mobile phase compatibility with reversed phase HPLC. Additionally, the MILs were customized to minimize hydrolysis of the anionic component in aqueous media as well as reduce absorbance when subjected to HPLC. The three MILs were applied for the extraction of pharmaceutical drugs, phenolics, insecticides, and polycyclic aromatic hydrocarbons. The disperser solvent type, disperser solvent volume, mass of MIL, extraction time, the pH of the sample solution, and salt concentration were studied in order to achieve optimal extraction efficiency for each MIL. The [P6,6,6,14(]2[MnCl4(2 MIL exhibited the best extraction efficiencies for most of the target analytes compared to the other MILs. Good linearity was obtained using this MIL with correlation coefficients (R) varying from 0.997 to 0.999. The limits of detection (LODs) of all analytes ranged from 0.25 to 1.00mgL( 1) The relative recovery was studied in lake water and river water. The relative recovery in lake water varied from 53.8% to 114.7% at a spiked concentration of 20mgL( 1) (5mgL( 1) for phenanthrene) and from 52.1% to 106.7% at 150mgL( 1) (37.5mgL( 1) for phenanthrene) In river water, the relative recovery varied from 44.6% to 110.7% at a spiked concentration of 20mgL( 1) (5mgL( 1) for phenanthrene) and 42.9% to 83.6% at 150mgL( 1) (37.5mgL( 1) for phenanthrene)
Magnetic ionic liquids as non conventional extraction solvents for the determination of polycyclic aromatic hydrocarbons.
Venue: Analytica chimica acta

This work describes the applicability of magnetic ionic liquids (MILs) in the analytical determination of a group of heavy polycyclic aromatic hydrocarbons. Three different MILs, namely, benzyltrioctylammonium bromotrichloroferrate (III) (MIL A) methoxybenzyltrioctylammonium bromotrichloroferrate (III) (MIL B) and 1,12 di(3 benzylbenzimidazolium) dodecane bis[(trifluoromethyl)sulfonyl)]imide bromotrichloroferrate (III) (MIL C) were designed to exhibit hydrophobic properties, and their performance examined in a microextraction method for hydrophobic analytes. The magnet assisted approach with these MILs was performed in combination with high performance liquid chromatography and fluorescence detection. The study of the extraction performance showed that MIL A was the most suitable solvent for the extraction of polycyclic aromatic hydrocarbons and under optimum conditions the fast extraction step required ~20 mL of MIL A for 10 mL of aqueous sample, 24 mmol L( 1) NaOH, high ionic strength content of NaCl (25% (w/v) 500 mL of acetone as dispersive solvent, and 5 min of vortex. The desorption step required the aid of an external magnetic field with a strong NdFeB magnet (the separation requires few seconds) two back extraction steps for polycyclic aromatic hydrocarbons retained in the MIL droplet with n hexane, evaporation and reconstitution with acetonitrile. The overall method presented limits of detection down to 5 ng L( 1) relative recoveries ranging from 91.5 to 119% and inter day reproducibility values (expressed as relative standard derivation) lower than 16.4% for a spiked level of 0.4 mg L( 1) (n 9) The method was also applied for the analysis of real samples, including tap water, wastewater, and tea infusion.