Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning Style Preferences of College Student

Research on preferential learning styles has long been carried out since 1981. Several studies reveal that learning styles can affect one's learning outcomes. However, there are several studies which reveal that learning styles do not affect one's learning outcomes. This difference is interesting to discuss more deeply. This article will discuss the various types of college student learning styles and the results of previous studies on the influence of learning styles on student learning outcomes. This article also discusses the types of learning styles according to some experts. There are three types of learning styles, namely auditor, visual, and kinesthetic. While the others define 4 kinds of learning styles, namely Activists, Reflective, Theoretical, and Pragmatic. Keywords— learning style, college student, learning
The effect of earned versus house money on price bubble formation in experimental asset markets

Does house money exacerbate price bubbles? We compare house money asset market experiments with an earned money treatment where initial portfolios are constructed from a real effort task. Bubbles occur; however, trading volumes and earnings dispersion are significantly higher with house money. We investigate the role of cognitive ability in accounting for the differences in earnings distribution across treatments by using the cognitive reflection test (CRT). Low CRT subjects earned less than high CRT subjects. Low CRT subjects were net purchasers (sellers) of shares when the price was above (below) fundamental value. The opposite was true for high CRT subjects.
An adaptive moments estimation technique applied to MST radar echoes

Abstract An adaptive spectral moments estimation technique has been developed for analyzing the Doppler spectra of the mesosphere–stratosphere–troposphere (MST) radar signals. The technique, implemented with the MST radar at Gadanki (13.5°N, 79°E), is based on certain criteria, set up for the Doppler window, signal-to-noise ratio (SNR), and wind shear parameters, which are used to adaptively track the signal in the range–Doppler spectral frame. Two cases of radar data, one for low and the other for high SNR conditions, have been analyzed and the results are compared with those from the conventional method based on the strongest peak detection in each range gate. The results clearly demonstrate that by using the adaptive method the height coverage can be considerably enhanced compared to the conventional method. For the low SNR case, the height coverage for the adaptive and conventional methods is about 22 and 11 km, respectively; the corresponding heights for the high SNR case are 24 and 13 km. To validat.
Numerical study of turbulent coherent structures and bubble entrainment under surfzone breaking waves

Wave breaking in the surf zone entrains large volumes of bubbles into the water column, producing a complex two-phase bubbly flow field. The interactions among dispersed bubbles, mean flow and turbulence are still poorly understood. In this study, we perform a large-eddy simulation of polydisperse bubbly flow under a surfzone spilling breaking wave to investigate the turbulent coherent structures and their interactions with dispersed bubbles. The numerical model we employ explicitly accounts for bubble effects on momentum and turbulence in the liquid phase as well as turbulent transport on bubbles. The model is shown to predict surface elevation evolution and wave height distribution fairly well in a laboratory-scale surf zone, and is capable of capturing obliquely descending eddies and downbursts of turbulent fluid. Our study has revealed that the turbulent coherent structures play an important role in turbulent kinetic energy and momentum transport as well as bubble entrainment. These coherent structures tend to transport bubbles offshore and more deeply into the water column. The mechanisms of the generation of streamwise vortices are discussed. The presence of bubbles may suppress turbulence and enstrophy, and subsequently attenuate vortex evolution processes.
Cleaner fish cause predators to reduce aggression toward bystanders at cleaning stations

Mutualisms, in which both participants gain a net benefit, are ubiquitous in all ecosystems, and the importance of understanding their broader ecological context has been demonstrated many times. Indirect effects of mutualisms may have important implications for surrounding ecosystems through changes in density, species composition, or behavior; however, the latter has been difficult to quantify. In fish cleaning mutualisms, cleaners benefit by removing and consuming ectoparasites from clients, whereas clients benefit from a reduction in parasite load. Cleaner fish are also thought to benefit from immunity to predation and use tactile stimulation as a preconflict management strategy to manipulate partners' decisions and to avoid being eaten by piscivorous client fish. Here we show, using a laboratory experiment, that the presence of cleaner fish resulted in nearby fish not involved in the cleaner--client mutualism experiencing less aggression (chases) from predatory clients. In addition, the rate that piscivorous clients chased prey was negatively correlated with the amount of tactile stimulation given to the predator by the cleaner. These data suggest that, in the laboratory, the risk of aggression from predators toward nearby prey fish was greatly reduced as a by-product of cleaner fish presence and tactile stimulation of predators by cleaner fish. These results raise the question of whether cleaning stations act as safe havens from predator aggression. Copyright 2008, Oxford University Press.
Deep recommender engine based on efficient product embeddings neural pipeline

Predictive analytics systems are currently one of the most important areas of research and development within the Artificial Intelligence domain and particularly in Machine Learning. One of the “holy grails” of predictive analytics is the research and development of the “perfect” recommendation system. In our paper we propose an advanced pipeline model for the multi-task objective of determining product complementarity, similarity and sales prediction using deep neural models applied to big-data sequential transaction systems. Our highly parallelized hybrid pipeline consists of both unsupervised and supervised models, used for the objectives of generating semantic product embeddings and predicting sales, respectively. Our experimentation andbenchmarking havebeen done using very large pharma-industry retailer Big Data stream.
Validation of Capsaicin in Indian Capsicum Species Through RP-HPLC

Capsaicin is a pungent capsacinoid which differs in capsicum fruit within the species and the cultivars due to its topographical diversity. Here, a comparative estimation of capsaicin in seven varieties of capsicum has been performed by RP-HPLC method. The method was carried out in reverse phase C18 column using acetonitrile and water (1% acetic acid) as mobile phase (65:35 v/v), at the flow rate of 1ml/min. The λmax was detected at 230 nm. The calibration curves were linear in the concentration range of 1-80 μg/ml. The comparative study revealed that the capsaicin content was highest (3.12% w/w) in Capsicum annuum Cayenne whereas Capsicum cardenasii contains the lowest (0.85% w/w). The % RSD of precision and recovery was found to be < 2%, which confirms high repeatability of the method. This method can be commercialized at industrial level for ensuring the highest quality of capsicum used as raw material.
Evaluation of HPV Molecular Tests in Primary Screening for Cervical Cancer in Brazil

Background: Incorporation of HPV tests into cervical cancer screening programs may be advantageous over conventional cytology, especially in developing nations, where the largest burden of cervical cancer is observed. Objectives: To conduct an evaluation of commercially available molecular HPV tests in Brazilian women. Study design: Two groups were recruited: group A was composed of 511 women referred to the clinics because of a previous abnormal Pap test while group B consisted of 2464 subjects under routine screening. Cervical samples were collected using SurePath liquid cytology (LBC) device, and split into aliquots which were submitted to molecular testing by Hybrid Capture and cobas HPV. Colposcopy and biopsies were made according to the standard guidelines, directed by cytological diagnosis. Results: Prevalence of HSIL was 5.97% and 0.7% in Group A and B respectively. High-Risk HPV DNA was found in about 9% of group B women, while in group A this frequency was 24%. Having CIN3+ as the study end-point, the negative predictive values for molecular methods were above 99.8%. All “in-situ” and invasive cervical carcinomas were detected by both HPV nucleic acid assays. Conclusion: Use of HPV DNA testing was feasible and highly sensitive in cancer screening settings of Brazil.
Evidence for density-dependent changes in body condition and pregnancy rate of North Atlantic fin whales over four decades of varying environmental conditions

and pregnancy rate of North Atlantic fin whales over four decades of varying environmental conditions Rob Williams1*, Gisli A. Vikingsson2, Astthor Gislason2, Christina Lockyer3, Leslie New4, Len Thomas5, and Philip S. Hammond1 Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews, KY16 8LB, Scotland, UK Marine Research Institute, PO Box 1390, 121 Reykjavik, Iceland The North Atlantic Marine Mammal Commission, N-9294 Tromso, Norway US Marine Mammal Commission, 4340 East-West Highway, Suite 700, Bethesda, MD 20814, USA Centre for Research into Ecological and Environmental Modelling and School of Mathematics and Statistics, University of St. Andrews, St Andrews, Scotland KY16 9LZ UK
On integrability of infinitesimal actions

We use foliations and connections on principal Lie groupoid bundles to prove various integrability results for Lie algebroids. In particular, we show, under quite general assumptions, that the semi-direct product associated to an infinitesimal action of one integrable Lie algebroid on another is integrable. This generalizes recent results of Dazord and Nistor.
Dynamics of a treadmilling microswimmer near a no-slip wall in simple shear

Induction of flow is commonly used to control the migration of a microswimmer in a confined system such as a microchannel. The motion of a swimmer, in general, is governed by nonlinear equations due to non-trivial hydrodynamic interactions between the flow and the swimmer near a wall. This paper derives analytical expressions for the equations of motion governing a circular treadmilling swimmer in simple shear near a no-slip wall by combining the reciprocal theorem for Stokes flow with an exact solution for the dragging problem of a cylinder near a wall. We demonstrate that the reduced dynamical system possesses a Hamiltonian structure, which we use to show that the swimmer cannot migrate stably at a constant distance from a wall but only exhibit periodic oscillatory motion along the wall, or to escape from it. A treadmilling swimmer with the lowest two treadmilling modes is investigated in detail by means of a bifurcation analysis of the reduced dynamical system. It is found that the swimming direction of oscillatory motion is clarified by the sign of the Hamiltonian in the absence of flow, and that the induction of the flow suppresses upstream migration but aligns swimmer orientations in downstream migration. These results could inform strategies for the transport and control of micro-organisms and micromachines.
Cost Efficiency of European Cooperative Banks

This paper investigates the size–efficiency relation of European cooperative banks during the 2006-2015 period. We employ the Stochastic Frontier Analysis in order to obtain inefficiency estimates and its determinants on the set of 183 cooperative banks from 12 European countries. This work extends the existing literature by focusing on shape of size-efficiency relationship and examining also the post-crisis period after the fall of Lehman Brothers in 2008. Our results show that smaller European cooperative banks are significantly more cost efficient than their bigger peers and that the size-efficiency relation is linear. Interestingly, inefficiency remained roughly stable during the whole observation period without any substantial changes, not even on sub-samples of individual countries. These results imply that no significant consolidation of European cooperative banks can be expected in the near future. We conclude that for cooperatives, it is more efficient to remain small in size rather than to expand. From a policy perspective, we recommend regulators to reflect special nature of cooperative banks and allow them to operate at a small scale enabling their efficiency. As a result, we believe that one-size-fits-all regulation is harmful for efficient operations of cooperative banks in Europe.
LARGE-SCALE INSTABILITIES IN A STOVL UPWASH

The fountain flow created by two underexpanded axisymmetric, turbulent jets impinging on a ground plane was studied through the use of laser-based experimental techniques. Velocity and turbulence data were acquired in the jet and fountain flow regions using laser doppler velocimetry and particle image velocimetry. Profiles of mean and rms velocities along the jet centreline are presented for nozzle pressure ratios of two, three and four. The unsteady nature of the fountain flow was examined and the presence of large-scale coherent structures identified. A spectral analysis of the fountain flow data was performed using the Welch method. The results have relevance to ongoing studies of the fountain flow using large eddy simulation techniques.
XMM-Newton Observations of NGC 507: Supersolar Metal Abundances in the Hot Interstellar Medium

We present the results of the X-ray XMM-Newton observations of NGC 507, a dominant elliptical galaxy in a small group of galaxies, and report supersolar metal abundances of both Fe and α-elements in the hot interstellar medium (ISM) of this galaxy. These results are robust in that we considered all possible systematic effects in our analysis. We find ZFe = 2-3 times solar inside the D25 ellipse of NGC 507. This is the highest ZFe reported so far for the hot halo of an elliptical galaxy; this high iron abundance is fully consistent with the predictions of stellar evolution models, which include the yield of both Type II and Type Ia supernovae (SNe). Our analysis shows that abundance measurements are critically dependent on the selection of the proper emission model. The spatially resolved, high-quality XMM-Newton spectra provide enough statistics to formally require at least three emission components in each of four circumnuclear concentric shells (within 5' or 100 kpc): two soft thermal components indicating a range of temperatures in the hot ISM plus a harder component, consistent with the integrated output of low-mass X-ray binaries (LMXBs) in NGC 507. The two-component (thermal+LMXB) model customarily used in past studies yields a much lower ZFe, consistent with previous reports of subsolar metal abundances. This model, however, gives a significantly worse fit to the data (F-test probability < 0.0001). The abundance of α-elements (most accurately determined by Si) is also found to be supersolar. The α-element-to-Fe abundance ratio is close to the solar ratio, suggesting that ~70% of the iron mass in the hot ISM originated from Type Ia SNe. The α-element-to-Fe abundance ratio remains constant out to at least 100 kpc, indicating that Types II and Ia SN ejecta are well mixed on a scale much larger than the extent of the stellar body.
ICT Use, Innovation, and Productivity: Evidence from Sub-Saharan Africa

This paper examines empirically the links between adoption of information and communications technology (ICT), defined as usage by firms, innovation, and productivity using firm-level data for a sample of six Sub-Saharan African countries: the Democratic Republic of Congo (DRC), Ghana, Kenya, Tanzania, Uganda, and Zambia. Although adoption of information and communications technology in these countries is still lagging behind OECD countries, there is significant heterogeneity on adoption rates across the countries. Kenya has the largest adoption rate of computer, software, and Internet usage. The Democratic Republic of Congo and Tanzania experience lower adoption rates. The degree of internationalization of the firm, use of technology, and extent of competition are important factors explaining firm-level use of ICT. The results of the estimates suggest that ICT use is an important and robust enabler of product, process, and organization innovation across all six countries. However, the final impact on productivity depends on the degree of novelty of the innovation introduced by the firm.
Making Firms Liable for Consumers' Mistaken Beliefs: Theoretical Model and Empirical Applications to the U.S. Mortgage and Credit Card Markets

I show that an introduction of a liability on firms, proportional to the difference between consumers' beliefs and the effective terms of purchase/contract, can improve both social welfare and consumer surplus, depending on the relative magnitudes of: 1) decrease in the gap between the beliefs and the effective terms of the contract due to the introduction of the liability, 2) output decrease or price increase, and 3) efficiency of administering the liability (and the amount transferred). I do not find statistically significant evidence of (2) in two examples of instituting a similar liability: when several large U.S. credit card issuers dropped mandatory arbitration clauses (that effectively precluded class action lawsuits) and when U.S. residential mortgage creditors became liable for failing to consider a borrower's future ability to repay the mortgage, suggesting that these events improved consumer surplus and might have improved social welfare.
Play therapy with children exhibiting symptoms of attention deficit hyperactivity disorder.

Sixty elementary school age children qualified as symptomatic of attention deficit/hyperactivity disorder (ADHD) were randomly assigned to 1 of 2 treatment conditions: child-centered play therapy (CCPT) or reading mentoring (RM). All children participated in 16 individual 30-min sessions in the schools. Results indicated that children who participated in 16 sessions of CCPT and RM demonstrated statistically significant improvement on the ADHD and student characteristics domains, as well as the Anxiety/Withdrawal and Learning Disability subscales of the Index of Teaching Stress and the ADHD Index of the Conners Teacher Rating Scale—Revised: Short Form. Children who participated in CCPT demonstrated statistically significant improvement over RM children on the student characteristics domain and on the Emotional Lability and Anxiety/Withdrawal subscales of the Index of Teaching Stress.
Tribological behaviour of Si 3 N 4 – BN ceramic materials for dry sliding applications

The main objective of this paper is to help on the clarification of the lack of consensus in the bibliographic data concerning the tribological behaviour of Si 3N4–BN composites. Unlubricated sliding tests by pin-on-disc were carried out with three grades of composite materials with 10, 18 and 25 vol.% of BN. The addition of BN to the Si 3N4 matrix resulted in a slight reduction of the friction coefficient, which decreased from 0.82 for monolithic Si 3N4 to 0.67 for Si 3N4–10%BN materials. Wear coefficients ( K) were above 10 −5 mm3 N−1 m−1 for all materials tested and increased sharply with increases in BN volume fraction greater than 10%, e.g. K ∼ 10−3 mm3 N−1 m−1 for Si3N4–25%BN. The lowest values of friction and wear coefficients were obtained when the composites were tested with the BN platelets oriented parallel to the sliding direction. The morphological study of the worn surfaces revealed generalised brittle intergranular microcracking at the dispersoid/matrix interface as the main wear mechanism. Under the experimental conditions of this study, the formation of stable protective layers of the soft lubricious oxide H 3BO3, or the solid lubricant BN·H2O, was not observed. © 2002 Elsevier Science B.V. All rights reserved.
Big Torelli groups: generation and commensuration

For any surface $\Sigma$ of infinite topological type, we study the Torelli subgroup ${\mathcal I}(\Sigma)$ of the mapping class group ${\rm MCG}(\Sigma)$, whose elements are those mapping classes that act trivially on the homology of $\Sigma$. Our first result asserts that ${\mathcal I}(\Sigma)$ is topologically generated by the subgroup of ${\rm MCG}(\Sigma)$ consisting of those elements in the Torelli group which have compact support. In particular, using results of Birman, Powell, and Putman we deduce that ${\mathcal I}(\Sigma)$ is topologically generated by separating twists and bounding pair maps. Next, we prove the abstract commensurator group of ${\mathcal I}(\Sigma)$ coincides with ${\rm MCG}(\Sigma)$. This extends the results for finite-type surfaces of Farb-Ivanov, Brendle-Margalit and KIda to the setting of infinite-type surfaces.
Non-compact cohomogeneity one Einstein manifolds

On decrit des proprietes de la dynamique des equations d'Einstein en cohomogeneite 1. En particulier, on obtient une nouvelle fonction de Lyapounov et un decouplage dans le cas Ricci plat. Comme application de ces resultats, on construit des metriques d'Einstein completes, de cohomogeneite 1, sur l'espace total de fibres triviaux sur des produits d'espaces homogenes a isotropie irreductible, avec des constantes d'Einstein negatives ou bien nulles. Ces metriques d'Einstein appartiennent. a des familles de grande dimension. Le cas Ricci plat est particulierement bien compris.
REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis

This paper proposes REFUEL, a reinforcement learning method with two techniques: {\em reward shaping} and {\em feature rebuilding}, to improve the performance of online symptom checking for disease diagnosis. Reward shaping can guide the search of policy towards better directions. Feature rebuilding can guide the agent to learn correlations between features. Together, they can find symptom queries that can yield positive responses from a patient with high probability. Experimental results justify that the two techniques in REFUEL allows the symptom checker to identify the disease more rapidly and accurately.
Typology of Ideal Personality: Applicant Perspective In Job Selection Setting

Previously studies suggest that job applicant fake response on a personality test based on their stereotype of ideal employee. This study explored typology of personality that relied on applicants’ stereotype. Experimental participant (N=200) completed three factors of BFI-44 (extroversion, conscientiousness, openness) under two different instruction. An honest fashion (honest condition) and under instructions to a response as if applying for a job (applicant condition). In both conditions, latent class analysis yields three classes for each personality factors with different type of personality. Typologies of personalities that rest on a stereotype of an applicant were different from existing typology. Keywords: Faking Response, Type of Personality, Stereotype, Job Applicant
A hybrid asymptotic formula for the second moment of Rankin–Selberg L‐functions

Let g be a fixed modular form of full level, and let {fj, k} be a basis of holomorphic cuspidal newforms of even weight k, fixed level and fixed primitive nebentypus. We consider the Rankin–Selberg L‐functions L(½+it, fj, k ⊗ g) and compute their second moment over t ≈ T and k ≈ K. For K3/4+ε⩽ T ⩽ K5/4−ε, we obtain an asymptotic formula with a power‐saving error term. Our result covers the second moment of L(½+it+ir, fj, k)L(½+it−ir, fj, k) for any fixed real number r, hence also the fourth moment of L(½+it, fj, k). For the proof, we develop a precise uniform approximate functional equation with explicit dependence on the archimedean parameters.