Miracle-dz/UniFAR-FTUs huggingface dataset:
E-SERVICE QUALITY EFFECT TOWARD CONSUMER ATTITUDE THROUGH CONSUMER SATISFACTION ON SHOPEE APPLICATION

This research to analyze the effect of e-service quality toward consumer attitude through consumer satisfaction on Shopee Application in Malang. The research was conducted in Malang with 152 respondents as the sample. This research used Structural Equation Modeling based on Partial Least Square. The research finding showed that there was positive and significant effect of e-service quality toward consumer satisfaction on the Shopee Application. There was positive and significant effect among consumer satisfactions on consumer attitude on Shopee Application. There was positive and significant effect among e-service qualities on consumer attitude on Shopee Application. There was positive and significant effect among e-service qualities on consumer attitude through consumer satisfaction on Shopee Application.
Development of a position-sensitive scintillation neutron detector for a new protein single-crystal diffractometer at J-PARC MLF

A high-spatial-resolution, large-area position-sensitive scintillation-based neutron detector module has been developed for a new time-of-flight Laue single-crystal diffractometer to be constructed at J-PARC MLF. A first prototype detector implementing commercial 6Li:ZnS screens was produced based on a scintillator/wavelength-shifting fibre technology. The detector exhibited a spatial resolution of 2.5 mm with a neutron-sensitive area of 320 × 320 mm2. We report on an initial evaluation of the detector performance, including its spatial resolution, detection efficiency and long-term background measurement, and also provide a brief description of a new neutron instrument.
Misconceptions of Memory The Scooter Libby Effect

People often claim they cannot remember, and other people often doubt those claims. For example, during his 2007 trial, Vice-Presidential Chief of Staff I. Lewis ‘‘Scooter’’ Libby claimed that he could not remember mentioning the identity of a Central Intelligence Agency employee to other government officials or reporters. Jurors found it difficult to believe that Libby could have forgotten having had such important conversations and found him guilty of obstruction of justice, making false statements, and perjury. Libby’s conversations were indeed important, but they were less important at the time he had them than they became months later when the Justice Department launched its investigation. Although important information increases the motivation to remember (MTR), research on human memory suggests that MTR is considerably more effective when it arises before rather than after information is encoded (Loftus & Wickens, 1970; Naveh-Benjamin, Craik, Gavrilescu, & Anderson, 2000). MTR at encoding leads people to attend to and organize information in ways that promote accessible storage in long-term memory, whereas MTR at retrieval merely leads people to work hard to retrieve information, and even the most earnest search of long-term memory is ineffective when information was never stored there in the first place. Do people take the timing of MTR into account when judging other people’s memories? Research suggests that people’s intuitions about memorial processes are often flawed, leaving them susceptible to a host of errors, ranging from the illusion of knowing to hindsight bias (Bjork & Dunlosky, 2008; Dunlosky, Serra, & Baker, 2007; Metcalfe, 2000). If people do not consider the fact that MTR is more effective at encoding than at retrieval, then they may mistakenly expect other people to remember information that became important as though it had always been important. We tested this possibility.
Performance analysis of journal bearing having surface waviness operating under misaligned condition

In this present study, the effect of surface waviness on the performance of journal bearing operating in misaligned conditions has been investigated. The journal’s misaligned conditions in the present analysis are taken about the circumferential, the axial, and both axes. For computing the pressure of lubricant inside the bearing, the finite element method has been applied to solve the Reynolds equation and thus static parameters are obtained. The static parameters, that is, load carrying capacity and coefficient of friction are evaluated at different waviness variables and are compared with misaligned journal bearing without surface waviness. It is observed that misalignment considered in both axes has the most severe effect on static performance parameters as compared to misalignment only in the circumferential or axial axis. With the increase in circumferential waviness number up to n = 5, the load-carrying capacity increases, and the coefficient of friction decreases under high eccentricity ratios. Change in waviness amplitude also impacts the bearing performance. Axial waviness always deteriorates the bearing performance. Combined waviness increases the load carrying capacity and decreases the coefficient of friction when circumferential waviness number n = 5 and axial waviness number m = 2. The highest performance enhancement ratio is attained at an eccentricity ratio of 0.8 with a circumferential waviness number n of 5, axial waviness number m of 2, and dimensionless waviness amplitude δ * of 0.075.
An analysis of multiple choice questions (MCQs): Item and test statistics from mathematics assessments in senior high school

The multiple-choice test is a common test format used in education. One of the purposes of this test is to evaluate the success of the learning process in a particular subject. Therefore, the efficiency of the evaluation depends on the quality of the test items used. This research was conducted in order to reveal the quality of the final mathematics examination items statistically. It was descriptive quantitative research employing two-parameter logistic (2pl) model of Item Response Theory (IRT). The data were obtained from the sample of 353 students established using the purposive sampling technique. This finding shows that 40% of the 35 items tested are very difficult, 60% are in the medium level, and there is no easy item. The most difficult material is the trigonometric calculation. The percentage of the item discrimination index is described as follows: 8.57% of the items are categorized as very low, 51.43% are categorized as low, 31.43% of the items have a medium item discrimination index value, 5.71% have a high item discrimination index value, and 2.86% of the items are categorized as very high. Moreover, the research found that all distractors functioned well. The highest information on ability θ = 0.4 with information function value of 5.38 and SEM = 0.6. This test is suitable for students with the ability of -1.42
Conceptions of Mathematics Teacher Educators Depicting Essential Mathematics Teacher Educator Knowledge

Research into knowledge which mathematics teachers require to teach abounds. There is also mounting interest among mathematics teacher education researchers to characterize mathematics teacher educator knowledge (MTEK). However, there is a generic dearth of studies focusing on conceptions of mathematics teacher educators (MTE) regarding MTEK. This article is a product of a qualitative case study underscoring teacher educator conceptions in that regard and the investigation involved two MTE who were practicing in a university. The research site was conveniently chosen, and participants were intentionally selected to respond to interview questions which elicited espoused views. Narrative analysis was used through exploration and subsequent interpretation of transcripts which aligned with questions posed. Analyses suggested a complexity to exhaustively categorize the MTEK necessary for MTE to train mathematics teachers. Notwithstanding, MTE believed that MTEK should include understanding of research in mathematics teacher education and teaching, mathematics teacher knowledge, and MTE professional development. Additionally, the findings suggested that MTE acquire mathematics teacher educator knowledge through postgraduate studies, on the job practice, mentorship, and participation in professional development activities. Research in other contexts is recommended to identify mathematics teacher educators’ understandings of MTEK and how that knowledge should be acquired.
DEEP LEARNING-BASED CUSTOMER COMPLAINT MANAGEMENT

ABSTRACT In recent years, managing customer complaints poses a problem for companies due to the increasing market and customer base. One of the most effective ways to speed up the handling of complaints is to categorize customer issues and automatically forward complaints to relevant officers or departments. This reduces the response time to complaints and ensures that specific complaints are being handled by the people with the right expertise. Also, the companies can create a strategy exclusively for certain types of problems, which will hasten the problem resolution. In this article, we propose an intelligent customer complaint management system (CCMS) for financial services organizations. We described a pre-processing technique for Turkish agglutinative language using deep learning algorithms and it was not previously considered in the literature. Furthermore, the performance of the algorithm has been significantly increased by choosing the appropriate combinations of pre-processing tasks. The proposed method not only greatly increases text classification’s utility for a broader range of customer complaints, but it also yields improved overall performance, recorded with a 96% accuracy score. The findings of the experiments show that the proposed approach is more effective than the other state-of-the-art strategies.
Corrigendum: Equilibrium of nematic vesicles (2010 J. Phys. A: Math. Theor. 43 445207)

A variational scheme is proposed which allows the derivation of a concise and elegant formulation of the equilibrium equations for closed ﬂuid membranes, endowed with a nematic microstructure. The nematic order is described by an in-plane nematic director and a degree of orientation, as customary in the theory of uniaxial nematics. The only constitutive ingredient in this scheme is a free-energy density which depends on the vesicle geometry and order parameters. The stress and the couple stress tensors related to this free-energy density are provided. As an application of the proposed scheme, a certain number of special theories are deduced: soap bubbles, lipid vesicles, chiral and achiral nematic membranes, and nematics on curved substrates.
Pressure-dependent structural and electronic instabilities in LaSb$_2$

LaSb_22 exhibits a large, non-saturating, linear magnetoresistance at low temperatures, defying the expectations of Fermi liquid theory. This is thought to be caused by charge density wave order emerging below an abrupt, hysteretic anomaly in the resistivity at \sim∼ 355 K. We find that, under hydrostatic pressure, this anomaly becomes much more pronounced, develops strong hysteresis, and shifts rapidly towards lower temperatures. The anomaly is fully suppressed by only 6 kbar. Moreover, we observe a second transition anomaly at lower temperature, which likewise disappears under pressure. These findings are discussed in the context of a structural transition recently discovered in the sister material CeSb_22 and of density functional theory calculations, which indicate that the SmSb_22-type structure adopted by LaSb_22 at ambient conditions is unstable at moderate applied pressures.
Some discussion topics on the representation of the equilibrium Fe – Ni phase diagram and on the nature of the Invar effect

This paper presents a thorough analysis of Fe – Ni phase diagrams published over the last 50 years. It is shown that the differences in drawing the low-temperature part of the phase diagram and in the explanation of the nature of Invar alloys are due to a lack of clear experimental evidence for the absence or occurrence of a particular superstructure in the range of compositions with less than 50% Ni content. The experimental results obtained favor a certain particular phase diagram as yet unpublished in the reference literature, and suggest the possible origin of the Invar effect. The phase diagram analysis and the assumption on the nature of the Invar effect are based on results obtained by structural methods.
Molecule and dust reprocessing by the reverse shock in the supernova remnant Cas A

Dust and molecules are observed in various supernovae (SNe) and their remnants, but their formation and evolution in these hostile, shocked environments are still unclear. In some remnants, such as the 330 years-old SN remnant Cas A, the reverse shock (RS) is currently reprocessing the material formed after the SN explosion. Recently, transitions of warm CO have been detected with the Spitzer, AKARI and Herschel telescopes in Cas A ([9], [12]). In particular, CO lines were detected with Herschel in a small O-rich clump, and a high CO column density and temperature, compatible with shocked gas, were derived from line modelling ([12]). These observations thus show that a fair quantity of CO reforms after the passage of the RS. The Cas A remnant results from the explosion of a 19 M star as a Type IIb supernova ([6]), characterised by a lowdensity ejecta. We first model the SN ejecta chemistry to identify the molecules and dust clusters that form after the explosion and are reprocessed by the RS. We find that Cas A progenitor could have formed large quantities of molecules and dust only in a dense ejecta involving clumps. We then model the impact of the RS on an oxygen-rich ejecta clump, considering various RS speeds and investigating the post-shock chemistry. We consider the destruction of molecules and dust clusters by the shock and their reformation using a chemical kinetic model. The impact of UV photons coming from the hot post-shock region on the ionization fraction of the post-shock gas is included. We also model the sputtering (thermal and non-thermal) of the dust by the RS. We found that the reverse shock destroys the molecules and clusters present in the O-rich clump. CO reforms in the post shock gas with abundances that concur with the latest Herschel observations, confirming a post-shock origin for the submm CO lines. We then derive a dust size distribution for the ejecta of the Cas A progenitor, and investigate the effect of different RS velocities on this dust size distribution. Our results show that mediumand large-sized grains can survive the RS and that small dust clusters do not efficiently reform in the shocked gas. This result indicates that the dust formed in the SN ejecta and destroyed by the RS is unable to reform from the gas phase in the SN remnant.
η′ and η′ masses and decay constants

We present preliminary results for the masses and decay constants of the η and η′ mesons using CLS N f = 2 + 1 ensembles. One of the major challenges in these calculations are the large statistical fluctuations due to disconnected quark loops. We tackle these by employing a combination of noise reduction techniques which are tuned to minimize the statistical error at a fixed cost. On the analysis side we carefully assess excited states contributions by using a direct fit approach.
Low‐complexity ISS state estimation approach with bounded disturbances

This paper presents a low‐complexity input‐to‐state stable ellipsoidal outer‐bounding state estimation approach with unknown but bounded disturbances. The bounds on the noise are specified by ellipsoids. The feasible set is updated through computing the Minkowski sum and intersection of two ellipsoids. At the observation stage, the observation noise bounding ellipsoid is replaced by a parallelotope containing it. Then, each observation update is transformed into multiple consecutive iterations to intersect ellipsoid with strips, which significantly reduces its per‐update computational complexity. Furthermore, an adaptive selection scheme of the parameters is derived to ensure the stability of the estimation error. As a result, the proposed approach entails stability and delivers a trade‐off between performance and complexity.
Comparison between Bayesian approach and frequentist methods for estimating relative risk in randomized controlled trials: a simulation study

ABSTRACT Relative risks (RRs) are often considered as preferred measures of association in randomized controlled trials especially when the binary outcome of interest is common. To directly estimate RRs, log-binomial regression has been recommended. Although log-binomial regression is a special case of generalized linear models, it does not respect the natural parameter constraints, and maximum likelihood estimation is often subject to numerical instability that leads to convergence problems. Alternative methods for solving log-binomial regression convergence problems have been proposed. A Bayesian approach also was introduced, but the comparison between this method and frequentist methods has not been fully explored. We compared five frequentist and one Bayesian methods for estimating RRs under a variety of scenario. Based on our simulation study, there is not a method that can perform well based on different statistical properties, but COPY 1000 and modified log-Poisson regression can be considered in practice.
Learning and Inference Movement with Deep Generative Model

Learning and inference movement is a very challenging problem due to its high dimensionality and dependency to varied environments or tasks. In this paper, we propose an effective probabilistic method for learning and inference of basic movements. The motion planning problem is formulated as learning on a directed graphic model and deep generative model is used to perform learning and inference from demonstrations. An important characteristic of this method is that it flexibly incorporates the task descriptors and context information for long-term planning and it can be combined with dynamic systems for robot control. The experimental validations on robotic approaching path planning tasks show the advantages over the base methods with limited training data.
Integrated U-Pb and Hf zircon and whole-rock Nd isotopes studies of Devonian granitic rocks from Sierra de San Luis (Sierras Pampeanas, Argentina): Petrogenetic implications

Previous geochronological data indicate a protracted Devonian magmatic activity developed in the Sierra de San Luis, Sierras Pampeanas of Argentina, with three major crystallization events: 393±3, 384±2, and 377±2 Ma. Previously reported whole-rock Sm-Nd isotopes data define two average distinctive εNdt values: -1.37 and -3.47, and they are consistent with new data presented here. The first signature is assumed for a parental magma with dominant metasomatized subcontinental lithospheric mantle (SCLM) source, whereas the second signature could represent a parental magma derived of a lower continental crust source hybridized with magmas of the first signature. Notably, the new zircon Hf isotopes performed on the same zircon domains that were previously dated, indicate that the contribution of the source was variable over time. In situ Hf in zircon is relevant to evaluate the compositional evolution of the Devonian granitic magmas in the Sierra de San Luis, since the high variability of the εHft values recorded in zircons indicate that the calculated εNdt values for the samples can only be interpreted as a final picture of the petrogenetic process. Zircon Hf isotopes data suggest that the zircon crystallized from a magma with variable composition, recording two major events, yielding two εHft signatures: (1) -3.54 and (2) -6.85. A third composition, yield a less representative εHft value of -5.44, and represent a εHft signature (3).
Field-induced local Fermi-liquid states in the underscreened Kondo model for Eu compounds

We have studied an underscreened Kondo model for the impurity spin S=7/2S=7/2 capturing the 4f4f characteristics of a nearly divalent Eu ion. By using the numerical renormalization group method, it is shown that an unusual heavy-fermion state is induced from the underscreened spin state when a weak crystal field is introduced. It is also found that the application of the magnetic field enhances the effective mass of the heavy fermions, reflecting the field-induced level crossing of the spin states. We will discuss the mechanism of these mass enhancements in terms of a realization of the two-stage Kondo effect.
Performance of hydrodynamic textured journal bearing with the combined influence of elastic deformation and pseudo-plastic lubricant

This study outlines the performances of finite-length journal bearing with textured liner, shear-thinning Rabinowitsch lubricants, and considers the elastic deformation of the bearing liner. The yielded nonlinear Rabinowitsch-Reynolds PDE system has been solved using the finite difference method combined with Elrod’s algorithm for the case of cylindrical textures. The static performance of hydrodynamic lubrication, in this case, involves different parameters such as depth of texture, eccentricity ratio, elastic deformation factor, rheological index, etc. Results showed that, at a fixed eccentricity ratio, texturing of the bearing’s converging area enhances significantly the load-carrying capacity and reduces the friction coefficient compared to the smooth bearing surface (up to 22 % in load capacity and 17 % in friction coefficient). On the other hand, using a lubricant with more pronounced shear-thinning behavior and/or elastic liner reduces the journal bearing performances (up to 25 % in load capacity and 30 % in pressure). By applying the optimization technique (particle swarm optimization), an optimal arrangement of textures that can compensate for these losses in performance even at high eccentricity has been found. This optimal texture with dimensionless dimple’s depth set to 1 ( r y = 40 μ m ) improves the load capacity with 10 % for a lubricant with a rheological index α ¯ = 0.6 and elastic bearing liner with deformation parameter C 0 = 0.05 .
Stress Regulation via Being in Nature and Social Support in Adults, a Meta-analysis

In this meta-analysis, the authors investigated whether being in nature and emotional social support are reliable strategies to downregulate stress. We retrieved all the relevant articles that investigated a connection between one of these two strategies and stress. For being in nature we found 54 effects reported in 16 papers (total N = 1,697, MdnN = 52.5), while for emotional social support we found 18 effects reported in 13 papers (total N = 3,787, MdnN = 186). Although we initially found an effect for being in nature and emotional social support on stress (Hedges’ g = -.42; Hedges’ g = -.14, respectively), the effect only held for being in nature after applying our main publication bias correction technique (Hedges’ g = -.60). The emotional social support literature also had a high risk of bias. Although the being-in-nature literature was moderately powered (.72) to detect effects of Cohen’s d = . 50 or larger, the risk of bias was considerable, and the reporting contained numerous statistical reporting errors.