Miracle-dz/UniFAR-FTUs huggingface dataset:
A structured multiarmed bandit problem and the greedy policy

We consider a multiarmed bandit problem where the expected reward of each arm is a linear function of an unknown scalar with a prior distribution. The objective is to choose a sequence of arms that maximizes the expected total (or discounted total) reward. We demonstrate the effectiveness of a greedy policy that takes advantage of the known statistical correlation structure among the arms. In the infinite horizon discounted reward setting, we show that both the greedy and optimal policies eventually coincide and settle on the best arm, in contrast with the Incomplete Learning Theorem for the case of independent arms. In the total reward setting, we show that the cumulative Bayes risk after T periods under the greedy policy is at most O (log T), which is smaller than the lower bound of ¿ (log2 T) established by [1] for a general, but different, class of bandit problems. We also establish the tightness of our bounds. Theoretical and numerical results show that the performance of our policy scales independently of the number of arms.
A Symmetry Hypothesis and Measurement Biases in the Factor Content of Trade

I revisit Reimer (2006), and Trefler and Zhu (2005, 2006) (RTZ) tests of the Vanek proposition in the presence of international differences in production techniques and global production sharing. In this framework, knowing the bilateral details of each country’s input-output structure is key to the correct calculation of the factor content of trade. Because input-output tables typically lack this detail, RTZ impute the relevant input-output coefficients using a method that implicitly assumes that international flows of goods respond to trade determinants independently of their end-use (Symmetry Hypothesis). This paper uses surveybased input-output coefficients from the Asian Input-Output tables (AIO) that do provide bilateral detail. Exploiting methodological differences in the compilation of the AIO tables and the data underlying RTZ studies, I empirically test the symmetry hypothesis and find that it fails. This failure causes input-output data imputed following RTZ methodology to overstate the gross quantity of both domestic and foreign factors’ services embodied in a country’s trade. However, both biases are systematic and tend to cancel each other out resulting in only a small positive bias on net flows of factors and in the performance of the Vanek proposition.
Relationship between vitamin intake and total antioxidant capacity in elderly adults

The consumption of foods high in natural antioxidants, like fruits and vegetables, is associated with a lower risk of oxidative stress-related diseases. The aim of this study was to establish the relationship between the plasma antioxidant capacity in adults over fifty and their intake of vitamin A, C, and E. We evaluated 118 24-hour recalls of intake of foods. The intake of vitamin A, C, and E was quantified using food composition tables. We quantified plasma phenols using the Folin-Ciocalteu method. The antioxidant capacity was determined using the Trolox Equivalent Antioxidant Capacity (TEAC) and Oxygen Radical Absorption Capacity (ORAC) methods. Correlation analyses were performed between the studied variables and a positive correlation was found in most cases. However, none of the correlations was statistically significant. In all cases p-value was >0.05. The quantification of nutrient intake is not an adequate predictor of plasma antioxidant capacity in individuals over fifty
Bio-sorption of Chromium using Aquatic Plant, Lepironia Articulata

This work was focused at investigating the improvement of the heavy metal removal process produced by the aquatic plant, Lepironia articulata for the treatment of wastewater. The bio-sorption of chromium (Cr) by the aquatic plant, Lepironia articulata signifies one of the key alternatives for heavy metal removal. The application of Lepironia articulate as bio-absorber of heavy metal hasn’t been studied yet. The bio-sorption of chromium (Cr) by the aquatic plant, Lepironia articulata near to Taman Anggerik, Kedah, Malaysia, was examined in wastewater contaminated with 4, 8, 12 and 16 mg l -1 of Cr. chromium concentrations were analysed in the wastewater regularly and in aquatic plant biomass after the experiments. The results revealed that maintaining pH at 6.1 ± 0.1, temperature at 22 ± 1 oC and photoperiod at 12 h/j Lepironia articulata was capable of accumulating in its biomass 3, 15, 24 and 25 mg g -1 DM, for the four preliminary Cr concentrations selected. At the selected Cr concentrations, the heavy metal removal ranged between 62.45– 72.84%. The mass balance analysis carried out during the experiment revealed that approximately 40–63% of Cr (based on the preliminary Cr concentrations in wastewater) was eliminated through precipitation process. Thus, bio-sorption of Cr using aquatic plant, Lepironia articulata may bring a major point of improvement of the conventional wastewater treatment process.
VALIDATION OF PWR-FUEL CODE FOR STATIC PARAMETERS IN THE LWR CORE BENCHMARK

The PWR-FUEL code is a multi dimensional, multi group diffusion code with nodal and finite difference methods. The code will be used to calculate the fuel management of PWR reactor core. The result depends on the accuracy of the codes in producing the core effective multiplication factor and power density distribution. The objective of this research is to validate the PWR-FUEL code for those cases. The validation are carried out by benchmarking cores of IAEA-2D, KOERBERG-2D and BIBLIS-2D. The all three cases have different characteristics, thus it will result in a good accuracy benchmarking. The calculation results of effective multiplication factor have a maximum difference of 0.014 %, which is greater than the reference values. For the power peaking factor, the maximum deviation is 1.75 % as compared to the reference values. Those results show that the accuracy of PWR-FUEL in calculating the static parameter of PWR reactor benchmarks are very satisfactory.Keywords: Validation, PWR-FUEL code, static parameter. VALIDASI PROGRAM PWR-FUEL UNTUK PARAMETER STATIK PADA TERAS BENCHMARK LWR. Program PWR-FUEL adalah program difusi multi-dimensi, multi-kelompok dengan metode nodal dan metode beda hingga. Program ini akan digunakan untuk menghitung manajemen bahan bakar teras reaktor PWR. Akurasi manajemen bahan bakar teras PWR tergantung pada akurasi program dalam memprediksi faktor multiplikasi efektif teras dan distribusi rapat daya. Untuk itu dilakukan validasi program PWR-FUEL sebagai tujuan dalam penelitian ini. Validasi PWR-FUEL dilakukan menggunakan teras benchmark IAEA-2D, KOERBERG-2D dan BIBLIS-2D. Ketiga kasus ini mempunyai karaktristik yang berbeda sehingga akan memberikan hasil benchmark yang akurat. Hasil perhitungan faktor multiplikasi efektif terdapat perbedaan maksimum adalah 0,014 % lebih besar dari referensi. Sedangkan untuk perhitungan faktor puncak daya, terdapat perbedaan maksimum 1,75 % dibanding harga referensi. Hasil perhitungan menunjukkan bahwa akurasi paket program PWR-FUEL dalam menghitung parameter statik benchmark reaktor PWR menunjukkan hasil yang sangat memuaskan.Kata kunci: Validasi, program PWR-FUEL, parameter statik
Near-Field Plates: Theory and Developement

This report presents an in-depth investigation of near-field plates. Near-field plates are non-periodic, engineered surfaces that can focus electromagnetic field to subwavelength resolutions. Both numerical and analytical approaches are used to analyze and design these devices. The near-field plate concept is also expanded and used to design plates for near-field focusing/probing applications. First, the step-by-step procedure used to design near-field plates is outlined. This is followed by an analytical investigation which illustrates the performance of near-field plates and highlights their characteristic features. Near-field plates are contrasted against other devices that can achieve subwavelength resolution field patterns. In addition, the first experimental near-field plate is reviewed. This initial nearfield plate consisted of an array of printed interdigitated capacitors, and was able to focus microwave radiation emanating from a line source to a subwavelength near-field focal pattern. In the remainder of the report, novel corrugated near-field plate designs are presented. First, a linearly corrugated plate is described. It consists of non-periodic, linear corrugations surrounding a central slit in a metallic surface. When excited through the slit, the near-field plate forms a one dimensional subwavelength near-field focal pattern. A design procedure is presented and full-wave simulation results are detailed which confirm the plate’s ability to create a subwavelength focus. The effect of loss, edge diffraction, and frequency variations on the performance of the plate are studied. Two different methods of minimizing reflections from the plate are proposed. Furthermore, a linearly corrugated near-field plate design is fabricated and measured. Close agreement between experiment and simulation is demonstrated, verifying near-field plate’s design and operation. Next, a concentrically corrugated near-field plate is reported. It consists of non-periodic, concentric corrugations surrounding a coaxial aperture in a metallic surface. This plate is fed through the central coaxial aperture and forms a two dimensional subwavelength focal pattern. The procedure used to design the near-field plate is described, and full-wave simulation results verifying its ability to create a subwavelength focal spot are presented. Furthermore, the experimental performance of an impedance matched concentrically corrugated near-field plate is investigated. Experimental results confirm the near-field plate’s superior ability to confine electromagnetic field, over that of a standard coaxial probe of equal dimensions. Lastly, preliminary experimental results are shown which demonstrate the super-resolving performance of a concentrically corrugated near-field plate serving as a near-field probe. Finally, several application areas of near-field plates are identified. This final chapter explains how the ability to confine electromagnetic fields over an extended working distance can benefit areas ranging from near-field probing and microscopy to biomedical devices.
The suppression of noise on a dithering image in LCD overdrive

The authors have developed an LCD overdrive featuring a feedforward driving technique with frame memory reduction. Adapting an image compression technique for the reduction of stored frame image data has resulted in a frame memory which uses less DRAM. In this report we discuss a method of suppressing the noise caused by memory reduction when a specific pattern is applied such as a dithering image
Connected structure in the Two-degree Field Galaxy Redshift Survey

We describe and apply a simple prescription for defining connected structures in galaxy redshift surveys. The method is based upon two passes with a friends-of-friends group finder. The first pass uses a cylindrical linking volume to find galaxy groups and clusters in order to suppress the line-of-sight smearing introduced by the large random velocities of galaxies within these deep potential wells. The second pass, performed with a spherical linking volume, identifies the connected components. This algorithm has been applied to the Two-degree Field Galaxy Redshift Survey (2dFGRS), within which it picks out a total of 7603 systems containing at least two galaxies and having a mean redshift less than 0.12. Connected systems with many members appear filamentary in nature, and the algorithm recovers two particularly large filaments within the 2dFGRS. For comparison, the algorithm has also been applied to A cold dark matter (ACDM) mock galaxy surveys. While the model population of such systems is broadly similar to that in the 2dFGRS, it does not generally contain such extremely large structures.
Spin transport across antiferromagnets induced by the spin Seebeck effect

For prospective spintronics devices based on the propagation of pure spin currents, antiferromagnets are an interesting class of materials that potentially entail a number of advantages as compared to ferromagnets. Here, we present a detailed theoretical study of magnonic spin current transport in ferromagnetic-antiferromagnetic multilayers by using atomistic spin dynamics simulations. The relevant length scales of magnonic spin transport in antiferromagnets are determined. We demonstrate the transfer of angular momentum from a ferromagnet into an antiferromagnet due to the excitation of only one magnon branch in the antiferromagnet. As an experimental system, we ascertain the transport across an antiferromagnet in Y3Fe5O12 |Ir20Mn80|Pt heterostructures. We determine the spin transport signals for spin currents generated in the Y3Fe5O12 by the spin Seebeck effect and compare to measurements of the spin Hall magnetoresistance in the heterostructure stack. By means of temperature-dependent and thickness-dependent measurements, we deduce conclusions on the spin transport mechanism across Ir20Mn80 and furthermore correlate it to its paramagnetic-antiferromagnetic phase transition.
Reputation Dimensions Task

This paper describes our participation in the RepLab 2014 Reputation Dimensions task. The task is a multi-class classification task where tweets relating to an entity of interest are to be classified by their reputation dimension. For our participation we investigate two approaches; Firstly, we use a term’s gini-index score to quantify the term’s representativeness of a specific class and construct class profiles for tweet classification, and secondly, we perform tweet enrichment using a web scale corpus to derive terms representative of a tweet’s class, before training a classifier with the enriched tweets. Our tweet enrichment approach performed exceedingly well, showing that this approach is effective for classifying tweets by their reputation dimensions and a promising direction for
Elevated TGFβ Signaling Inhibits Ocular Vascular Development

Alterations in the ocular vasculature are associated with retinal diseases such as retinopathy of prematurity and diabetic retinopathy. Vascular endothelial growth factor (VEGF) as a potent stimulator for normal and abnormal vascular growth has been extensively studied. However, little is known about secreted factors that negatively regulate vascular growth in ocular tissues. We now report that expression of a self-activating TGFβ1 in the ocular lens of transgenic mice results in inhibition of retinal angiogenesis followed by retinal degeneration. Transgenic TGFβ1 can rescue the hyperplasic hyaloid tissue and reverse the corneal deficiency in TGFβ2-null embryos. These results demonstrate that TGFβ signaling modulates development of ocular vasculature and cornea in a dosage-dependent manner and that TGFβ1 can substitute for TGFβ2 in ocular tissues.
An e ffi cient implementation of 2 D convolution in CNN

Convolutional neural network (CNN), a well-known machine learning algorithm, has been widely used in the field of computer vision for its amazing performance in image classification. With the rapid growth of applications based on CNN, various acceleration schemes have been proposed on FPGA, GPU and ASIC. In the implementation of these specific hardware accelerations, the most challenging part is the implementation of 2D convolution. To obtain a more efficient design of 2D convolution in CNN, this paper proposes a novel technique, singular value decomposition approximation (SVDA) to reduce the usage of resources. Experimental results show that the proposed SVDA hardware implementation can achieve a reduction in resources in the range of 14.46% to 37.8%, while the loss of classification accuracy is less than 1%.
Modeling headbox performance with computational fluid mechanics

Until recently headbox design has been based exclusively on trial-and-error experimentation. Relative performance has been based on improved formation and sheet properties. Accurate numerical prediction of headbox flow could provide a more rapid and effective guide to improved headbox design. A computational fluid mechanics program (FLUENT)TM (1) employing a finite difference numerical procedure and a k-e turbulence model was used to predict turbulent flow profiles in several types of flow regimes: an experimental Conver-floTM headbox, an experimental straight-channel diffuser and a free jet issuing from a hypothetical headbox. In all cases, the velocity distributions were accurately predicted. Characteristics of the turbulent flow were also predicted with reasonable accuracy. Detailed turbulence intensity profiles revealed features not available experimentally. Jet shape predicted by FLUENT also agreed with irrotational flow theory. Assumptions of uniform grid spacing, 2-dimensional analysis, uniform C-D profile, and isotropic turbulence may have limited the accuracy of the turbulence characteristics. While further work is suggested to improve the model, the procedure is successful and can be used to evaluate headbox design in terms of microturbulence generation.
TOWARDS AN OUTPUT-BASED RE-MESHING FOR TURBOMACHINERY APPLICATIONS

A methodology for estimating the truncation error between a fine computational grid and topologically inconsistent coarse grid from a multi-grid sequence is presented. This sensor is then weighted with the adjoint solution to obtain a goal-based refinement sensor which provides local scales for a re-meshing procedure. The truncation-based sensor, as well as an output-based indicator, were implemented in the proprietary Rolls-Royce code Hydra. The output-based re-meshing refinement is first applied to the simple cube case with an inviscid flow. The truncation-based sensor and the output-based sensor are then evaluated for a turbine stator case as a first step towards the turbomachinery application of the re-meshing refinement methodology. The results are presented and discussed.
Prediction of fatigue damage with the use of dissipation energy

The paper refers to development of relationship between fatigue life and energy dissipated during process of fatigue. A theory about treating technical object as operational system, with limited potential for destruction was utilized. On the base of experiments, it was stated, that dissipated energy, which is stored in the object as a result of various kinds of wear processes, including fatigue can be such parameter. Amount of this energy was determined experimentally. It was found, that “consumption” of this energy depends on the value of the damping coefficient of the test object and the parameters of the oscillatory motion. Knowing the amount of this energy and accepting it as a "destruction capacity”, it is possible to predict the fatigue life of an object under a given load.
How obliquity cycles powered early Pleistocene global ice‐volume variability

Milankovitch theory proposes that the magnitude of high‐latitude summer insolation dictates the continental ice‐volume response by controlling summer snow melt, thus anticipating a substantial ice‐volume contribution from the strong summer insolation signal of precession. Yet almost all of the early Pleistocene δ18O records' signal strength resides at the frequency of obliquity. Here we explore this discrepancy using a climate‐vegetation‐ice sheet model to simulate climate‐ice sheet response to transient orbits of varying obliquity and precession. Spectral analysis of our results shows that despite contributing significantly less to the summer insolation signal, almost 60% of the ice‐volume power exists at the frequency of obliquity due to a combination of albedo feedbacks, seasonal offsets, and orbital cycle duration differences. Including eccentricity modulation of the precession ice‐volume component and assuming a small Antarctic ice response to orbital forcing produce a signal that agrees with the δ18O ice‐volume proxy records.
The Managerial Grid as a Predictor of Conflict Resolution Method and Managerial Effectiveness.

H. John Bernardin and Kenneth M. Alvares The relation between ratings of leadership effectiveness and conflict resolution methods was investigated in a large midwestern manufacturing firm. Hypotheses based upon Blake and Mouton's (1964) managerial grid were tested and were not supported by the data. Results indicated that grid placement was a poor predictor of either perceived managerial effectiveness or conflict resolution methods employed. The need for further empirical support is suggested.
A model for vehicle-induced non-tailpipe emissions of particles along Swedish roads

One of the most important parameters that controls the suspension of road dust particles in the air is road surface moisture. This is calculated every hour from a budget equation that takes into account precipitation, evaporation and runoff. During wet conditions a road dust layer is built up from road wear which strongly depends on the use of studded tyres and road sanding. The dust layer is reduced during dry road conditions by suspension of particles due to vehicle-induced turbulence. The dust layer is also reduced by wash-off due to precipitation. Direct non-tailpipe vehicle emissions due to the wear and tear of the road surface, brakes and tyres are accounted for in the traditional way as constant emission factors expressed as mass emitted per vehicle kilometre. The model results are compared with measurements from both a narrow street canyon in the city centre of Stockholm and from an open highway outside the city. The model is able to account for the main features in the day-to-day mean PM10 variability for the street canyon and for the highway. A peak in the PM10 concentration is typically observed in late winter and early spring in the Nordic countries where studded tyres are used. This behaviour is due to a combination of factors: frequent conditions with dry roads, high number of cars with studded tyres and an accumulated road dust layer that increases suspension of particles. The study shows that using a constant emission factor for PM10 or relating PM10 emissions to NOx cannot be used for prediction of day-to-day variations in PM10 concentrations in the traffic environments studied here. The model needs to describe variations in dust load, wetness of the road and how dust suspension interacts with these processes. r 2005 Elsevier Ltd. All rights reserved.
VLT transit and occultation photometry for the bloated planet CoRoT-1b

We present VLT eclipse photometry for the giant planet CoRoT-1b. We observed a transit in the R-band filter and an occultation in a narrow filter centered on 2.09 μm. Our analysis of this new photometry and published radial velocities, in combination with stellarevolutionary modeling, leads to a planetary mass and radius of 1.07 +0.13 −0.18 MJup and 1.45 +0.07 −0.13 RJup, confirming the very low density previously deduced from CoRoT photometry. The large occultation depth that we measure at 2.09 μm (0.278 +0.043 −0.066 %) is consistent with thermal emission and is better reproduced by an atmospheric model with no redistribution of the absorbed stellar flux to the night side of the planet.