Miracle-dz/UniFAR-FTUs huggingface dataset:
Compression behavior of reactive powder concrete confined with high‐strength spiral stirrups

The lateral confinement of stirrups can improve the load‐bearing capacity and ductility of reactive powder concrete (RPC) columns. To explore the compression behavior of RPC confined with high‐strength stirrups, 45 specimens were prepared and tested under axial compression. The concrete strength was in the range of 99.86–138.24 MPa, the tensile strength of stirrups was Grade 800, Grade 970, and Grade 1270, and the volumetric ratios of stirrups were in the range of 0.9%–2.0%. The results showed that the failure modes of RPC confined with stirrups were shear expansion failure. The compressive strength and ductility of confined RPC were improved with the increase of stirrups volumetric ratios, while stirrups strength slightly affected the compressive strength and ductility. In addition, the peak stress, peak strain, and residual stress prediction models were proposed. Furthermore, the ductility index prediction models were proposed, which can be applied to determine the volumetric ratio of stirrups in stirrups confined concrete columns.
APPLICATION OF THE SEGUE STELLAR PARAMETER PIPELINE TO LAMOST STELLAR SPECTRA

We describe an application of the SEGUE Stellar Parameter Pipeline (SSPP) to medium-resolution stellar spectra obtained by the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST), in order to determine estimates of the stellar atmospheric parameters (Teff, log g ? > , and [Fe/H]) and the abundance ratios ([α/Fe] and [C/Fe]). By performing a coordinate match with the LAMOST stellar database, we selected stars with LAMOST spectra in common with stars having available spectroscopy from the Apache Point Observatory Galactic Evolution Experiment (APOGEE), the RAdial Velocity Experiment (RAVE), and the Sloan Extension for Galactic Understanding and Exploration (SEGUE). We ran the selected LAMOST stellar spectra from each survey through SSPP, and compared the stellar parameters down to signal-to-noise ratio (S/N) of 10 and chemical abundances down to S/N = 20 derived by SSPP with those determined by the APOGEE, RAVE, and SEGUE software pipelines. Our results show that the derived stellar parameters generally agree quite well, even though there exist some small systematic offsets with small scatter in Teff, log g ? > , and [Fe/H], due to the use of different temperature scales, abundance scales, and calibrations adopted by each survey. Comparison of the [α/Fe] determinations for LAMOST spectra suggests no sign of significant systematic offsets (<–0.04 dex), with a small scatter (<0.08 dex) relative to stars in common with APOGEE and SEGUE. The [C/Fe] estimates determined for the LAMOST spectra also exhibit good agreement, with a very small offset (∼0.01 dex) and scatter (∼0.12 dex) relative to the SEGUE stars, while there exists about a –0.19 dex offset, with a small scatter of ∼0.13 dex, for the APOGEE sample. Due to the existence of small offsets in the stellar parameters and abundances among difference data sets, optimal results when combining the different data sets will be obtained by removing the offsets. Once accomplished, the stellar parameters and chemical abundances estimated by SSPP from the LAMOST stellar spectra should provide a reliable database for studies of the Galactic disk and halo systems.
A Methodology for Estimating the Energy and Moisture Budget of the Convective Boundary Layer Using Continuous Ground-based Infrared Spectrometer Observations

Land-atmosphere interactions play a critical role in both the atmospheric water and energy cycles. Changes in soil moisture and vegetation alter the partitioning of surface water and energy fluxes, influencing diurnal evolution of the planetary boundary layer (PBL). The mixing diagram framework has proven useful in understanding the evolution of the heat and moisture budget within the convective boundary layer (CBL). We demonstrate that observations from the Department of Energy Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site provide all of the needed inputs needed for the mixing diagram framework, allowing us to quantify the impact from the surface fluxes, advection, radiative heating, encroachment, and entrainment on the evolution of the CBL. Profiles of temperature and humidity retrieved from the ground-based infrared spectrometer (called the Atmospheric Emitted Radiance Interferometer, or AERI) are a critical component in this analysis. Large eddy simulation results demonstrate that mean mixed-layer values derived are shown to be critical to close the energy and moisture budgets. A novel approach demonstrated here is the use of network of AERIs and Doppler lidars to quantify the advective fluxes of heat and moisture. The framework enables the estimation of the entrainment fluxes as a residual, providing a way to observe the entrainment fluxes without using multiple lidar systems. Finally, the high temporal resolution of the AERI observations enable the morning, midday, and afternoon evolution of the CBL to be quantified. This work provides a new way to use observations in this framework to evaluate weather and climate models.
On quantum seas

The rules of quantum mechanics are simple and well understood, yet the collective behavior of large numbers of interacting constituents still hosts many mysteries. Even for models built from the simplest of quantum components, namely qubits or equivalently the spin-1/2 magnetic moment of fundamental particles, the collective behavior is hard to compute directly. Effective theories and approximate methods however capture universal properties which depend on the microscopic realization of the system only through a handful of phenomenological parameters. In this thesis we theoretically consider one-dimensional systems by combining exact methods with effective theory. Building on the new insights of nonlinear Luttinger liquid theory we consider spin chains and other systems with a boundary. Furthermore, we study out-of-equilibrium physics related to the famous Quantum Newton’s cradle experiment and adopt and extend effective field theory methods to such non-standard cases. We also present a detailed study of the Au/Ge(001) system of self-organised atomic chains formed by gold deposition on a germanium surface. Combining the detailed experimental investigations of collaborators at the University of Amsterdam and the University of Twente with theoretical reasoning we conclude that the experimental evidence conflicts earlier claims of the system hosting a Tomonaga-Luttinger liquid and the most likely explanation of all observations lies in a two-dimensional scenario with strong disorder and interaction effects.
Statistical mechanics of cell decision-making: the cell migration force distribution

Abstract Cell decision-making is the cellular process of responding to microenvironmental cues. This can be regarded as the regulation of cell’s intrinsic variables to extrinsic stimuli. Currently, little is known about the principles dictating cell decision-making. Regarding cells as Bayesian decision-makers under energetic constraints, I postulate the principle of least microenvironmental uncertainty principle (LEUP). This is translated into a free-energy principle and I develop a statistical mechanics theory for cell decision-making. I exhibit the potential of LEUP in the case of cell migration. In particular, I calculate the dependence of cell locomotion force on the steady state distribution of adhesion receptors. Finally, the associated migration velocity allows for the reproduction of the cell anomalous diffusion, as observed in cell culture experiments.
Semiparametric transformation models with length-biased and right-censored data under the case-cohort design

Case-cohort designs provide a cost effective way in large cohort studies. Semiparametric transformation models, which include the proportional hazards model and the proportional odds model as special cases, are considered here for length-biased right-censored data under case-cohort design. Weighted estimating equations, which can be used even when the censoring variables are dependent of the covariates, are proposed for simultaneous estimation of the regression parameters and the transformation function. The resulting regression estimators are shown to be asymptotically normal with a closed form of variance-covariance matrix and can be estimated by the plug-in method. Simulation studies show that the proposed approach performs well for practical use. An application to the Oscar data is also given to illustrate the methodology.
On a question of Gundersen concerning the growth of solutions of linear differential equations

We prove that every nontrivial solution of f ′′ + A(z)f ′ + Q(z)f = 0 is of infinite order, where A(z) is an entire function satisfying λ(A) < ρ(A) < ∞ and some restrictions, and Q(z) is a non-constant polynomial. This result gives partial solutions to a question posed by Gundersen. Related results are also given.
ARIMA modelling of economic variables in the COVID-19 era: A study of the consumer price index

In addition to being fatal to the lives of thousands of people, coronavirus disease (COVID-19) was also fatal for corporations, businesses, and the entire global economy. COVID-19 is a pandemic with a contagious medical character, and it can even be fatal for the infected person who may have severe blockage of the respiratory system. From its origin, this virus spread across the globe, infecting hundreds of people of various ages and nationalities. For future occurrences to be understood, mathematical or statistical models with the fewest errors are required. This research is based on the studies of Sahai et al. (2020) and Ribeiro et al. (2020). In this study, the autoregressive integrated moving average (ARIMA) model is used to forecast the monthly consumer price index (CPI) in Kosovo. Furthermore, ARIMA (3, 1, 2) projections revealed the potential values for monthly CPI are expected to be on the rise with related implications for Kosovo. The study suggested introducing health, political and economic policies, such as a secure political climate, incentives for indigenous industries, economic diversification, and development of healthcare facilities throughout the world. The relevance of this research lies in the mathematical treatment of this problem which has never been treated in the Kosovar environment.
Luminescent properties and phase transition in Er3+-Yb3+-co-doped NaYF4/SiO2 core-shell nanoparticles

We successfully synthesized Er3+-Yb3+ doped cubic phase NaYF4 nanocrystals by a facile solvethermal method. The average size of the as-prepared nanocrystals was about 12 nm based on the observation of scanning electron microscope and transmission electron microscope. NaYF4/SiO2 nanoparticles were prepared. The thickness of shell layer was about 7 nm. The as-prepared samples were annealed at different temperature. The cubic phase NaYF4 did not transit to hexagonal phase, but to amorphous phase as the annealing temperature increased to 700 °C. When temperature further increased to 1100 °C, the amorphous NaYF4 reacted with SiO2 shell and formed a new phase, NaYSiO4. Under the excitation by a 976 nm laser, the Er3+-Yb3+ doped NaYF4, NaYF4/SiO2, and NaYSiO4 nanoparticles showed intense visible upconversion emissions. Since the host materials changed from fluoride crystals to amorphous fluoride, then to silicate crystals, the spectral profiles were different. Fluorescent lifetimes obtained from decay curves were applied to analyze the multi-phonon relaxation processes in different hosts. The Er3+-doped upconversion phosphors will be useful for light converting in solar cell applications in the future.
EQUIVALENT ELASTIC PARAMETERS OF THE HONEYCOMB CORE

反映蜂窝材料等效弹性参数的Gibson公式结果简单，便于应用然而由于对应于蜂窝壁板伸缩变形的刚度被忽略，导致蜂窝夹层结构数值分析时，芯层材料的弹性矩阵表现出不确定性本文重新考虑了蜂窝壁板的伸缩变形对面内刚度的影响，对Gibson公式进行了修正本本文结果不但克服了Gibson公式的缺陷，同时提出了考虑蜂窝芯层面内刚度的一种简化方案,该方案可以方便地应用于蜂窝夹层结构的计算。
Do animate arguments come first

Animacy is known to play a role in postverbal argument ordering for various languages (W02, B08a, B08b). Together with definiteness, pronominality, and shortness, animacy favors positioning an argument first. Nevertheless, it is sometimes difficult to distinguish linear ordering from grammatical function or semantic role assignment, since those are also subject to various factors including animacy (K77). In order to investigate the role of animacy in French argument ordering, we limit ourselves to complements of ditransitive verbs with object and indirect object nominal complements. Using statistics on treebanks for language production and a questionnaire study for language perception, we show that animacy seems to play no role in the relative ordering.
Giant isotropic magnetostriction in NaZn13-type LaFe13-xAlx compounds

The unusual low-temperature magnetostrictive property is of fundamental interest due to significant applications in rapidly developing cryogenic engineering. Here, we report a giant isotropic magnetostriction (λ = 1500 ppm, ω = 4500 ppm) over a wide temperature range (∼210 K), and the saturated volume magnetostriction can be up to 8400 ppm in cubic NaZn13-type LaFe13−xAlx compounds by optimizing the chemical composition. The large magnetostrictive effect often occurs in ferromagnetic materials. However, we discovered that the magnetic-field-induced volume expansion originates from the change of lattice parameters across the first-order transition from the low-volume antiferromagnetic ground state to the high-volume ferromagnetic state. Moreover, the magnetostrictive materials show an excellent zero thermal expansion (ZTE) property, which guarantees their reliability and stability operating at various temperatures. The present study suggests potential applications of La(Fe, Al)13-based compounds as ZTE and.
Improving GPS/INS Integration Using FIKF‐Filtered Innovation Kalman Filter

The Kalman Filter (KF) is the most popular approach in sensor fusion and navigation applications. Improving the accuracy of estimation may increase the navigation accuracy. KF is the best choice for minimum variance optimal estimation, but it is not the best approach to improve some of the main and classic features such as steady‐state error reduction. These features are more important than optimality for applications like accuracy improvement in navigation. Also, these features and their solutions have been addressed in classic control techniques as a widely known subject. Therefore, some similar improvements in the estimation problem are discussed in the literature. These studies try to conserve the optimality in the covariance of the error, but classic and optimal features cannot be achieved simultaneously. Hence, these methods are not as efficient as expected. This paper intends to improve the estimation of position and velocity in navigation problems by integrating classic and modern control techniques. Beside the classic features and advantages, it may be seen that the resulted covariance of error is not minimum anymore, but it is comparable with the optimal methods.
Social Media Marketing and Its Influence on Brand Equity: The Mediating Role of Word of Mouth and E-Word of Mouth

The purpose of this study is to examine the nexus between social media marketing and brand equity, and the role of word of mouth and electronic in mediating this connectivity word of mouth. A quantitative approach with a descriptive explanatory design is employed to estimate the link between the variables observed. The study adopts purposive sampling technique with a sample size of 200 participants, and data is analyzed using Path Analysis with Warp-PLS 3.0. The findings indicate that social media marketing positively influences brand equity, and both word of mouth and e-word of mouth play a vital role in escalating brand equity. The study also confirms the mediating role of word of mouth and e-word of mouth in explaining the connectivity between social media marketing and brand equity. The results suggest that the assimilation and educational-based tourism management can promote tourism through social media to enhance the value of tourist attractions’ names, encouraging the public to enlarge in word-of-mouth promotion.
Cyclic best first search: Using contours to guide branch‐and‐bound algorithms

The cyclic best‐first search (CBFS) strategy is a recent search strategy that has been successfully applied to branch‐and‐bound algorithms in a number of different settings. CBFS is a modification of best‐first search (BFS) that places search tree subproblems into contours which are collections of subproblems grouped in some way, and repeatedly cycles through all non‐empty contours, selecting one subproblem to explore from each. In this article, the theoretical properties of CBFS are analyzed for the first time. CBFS is proved to be a generalization of all other search strategies by using a contour definition that explores the same sequence of subproblems as any other search strategy. Further, a bound is proved between the number of subproblems explored by BFS and the number of children generated by CBFS, given a fixed branching strategy and set of pruning rules. Finally, a discussion of heuristic contour‐labeling functions is provided, and proof‐of‐concept computational results for mixed‐integer programming problems from the MIPLIB 2010 database are shown. © 2017 Wiley Periodicals, Inc. Naval Research Logistics, 64: 64–82, 2017
Investigation of the chiral magnets NdFe3(11BO3)4 and MnSi by means of neutron scattering

In this work we have investigated two magnetic compounds displaying magnetic chirality, namely the multiferroic compound NdFe3(11BO3)4 and the itinerant helimagnet MnSi. The domain of chiral magnetism currently attracts a great deal of scientific interest in various fields of condensed matter physics, e.g. magnetic surfaces and interfaces, spintronics, multiferroics. Our investigation with polarised neutrons unambiguously determined the magnetic structure of NdFe3(11BO3)4 below TN = 30 K to be of antiferromagnetic type that transforms into a long period antiferromagnetic helix below a commensurate to incommensurate phase transition at 13.5 K. In addition inelastic neutron scattering experiments in MnSi identified the existence of a new type of magnetic Goldstone modes, namely the helimagnons, that were predicted by theorie recently.
‘They burn so bright whilst you can only wonder why’

In this article we connect critical librarianship and its practices of information literacy (IL) with working-class experiences of higher education (HE). Although the research literature and professional body of knowledge of critical information literacy (CIL), is one of the most theoretically-developed areas of wider critical librarianship (Critlib) movement, working-class knowledge and experiences remain underrepresented. One reason for this is that the values, behaviour and assumptions of library and HE workers are shaped by a HE system which inculcates middle-class values and cultural capitals within students, and stigmatises working-class students as lacking or in deficit. Hegemonic, or non-critical, IL proselytises middle-class values and assumptions about academic practices and skills development including the notion of an ideal student with behaviour and markers of identity which reflect those most privileged by wider society. In contrast CIL, framed as the socially-just practice of IL is theoretically well-placed to support working-class library workers in destabilising this alongside middle-class accomplices. Employing Yosso’s (2005) concept of community and cultural wealth (CCW), we analyse how library workers can recognise working-class cultural wealth within the context of CIL and wider working practices. As such narrative accounts are lacking in the literature, we utilise collaborative autoethnography (CAE) (Chang et al., 2013) to consider and interpret our own experiences of libraries when we were university students ourselves, and more recently as HE workers of working-class heritage.
MOTIVATION AND HESITANCY TOWARDS THE COVID-19 VACCINE IN EXPECTING MOTHERS

The practical and efficient prevention of the transmission of COVID-19 infection is through vaccination. However, there are challenges associated with refusing or postponing vaccination due to skepticism regarding the efficacy and safety of vaccines, particularly among pregnant women. The risk factors of pregnant women tend to make this vulnerable group reluctant to uptake the vaccines. Motivation influences personal hesitancy in deciding, especially regarding the COVID-19 vaccine. Therefore, this study investigated the correlation between motivation and hesitancy related to COVID-19 vaccines in expectant mothers at the Bening Nawangsari Midwife Clinic, Bekasi City. In this cross-sectional study, as many as 301 pregnant mothers were chosen using the consecutive sampling method. The Motivations of Vaccination Questionnaire and The Reasons for Hesitation Questionnaire were employed when collecting the data. After calculating the data with the Chi-Square test, a significant relationship between motivation and vaccine hesitancy was revealed (p-value= 0.001). It was concluded that there was a significant relationship between expectant mothers' motivation and hesitation to receive the COVID-19 vaccine.
LOCUS OF CONTROL THEORY IN TREATING TOURIST BEHAVIOR: THE THEORY ROOTS AND RESEARCH DIRECTION IN DESTINATION BRANDING FIELD

We aim to shed light on this issue by reviewing the roots and development of the locus of control theory. Moreover, we will introduce how we can use this development, in theory, to provide a new research direction in the tourism service field. A theory-based review was conducted to investigate the locus of control theory roots and its potential implications in the tourism industry using the Australian Business Deans Council (ABDC) list to explore the current literature. We followed the PRISMA methodology to collect the data from the Scopus database as well as Google Scholar and ResearchGate. The study found that the locus of control theory has its roots in social psychology and has been developed over the years to explain individual differences in behavior and decision-making. In the tourism service field, we found that understanding the locus of control can help service providers tailor their services to meet the needs and expectations of different types of tourists. This will contribute to attribution literature in psychological aspects and tourism literature with a deep understanding of how tourists behave and interpret differently.
Production maximization of rainy season rice (Oryza sativa) through effective use of water and solar radiation under modified system of rice intensification in Assam

A field experiment was conducted in a farmers’ field at Nepalikhuti, Golaghat, Assam during the rainy (kharif) season of 2016 and 2017, to find out the effect of different transplanting dates and hill densities of rice (Oryza sativa L.) under system of rice intensification (SRI) which was compared with conventional rice cultivation (CRC). The experiment was designed in factorial split-plot with 2 crop-establishment methods (SRI and CRC) and 3 transplanting dates (26 June, 10 and 25 July) in the main plot; and 4 different hill densities (20 cm × 10 cm, 20 cm × 20 cm, 25 cm × 20 cm and 25 cm × 25 cm) in the subplots and replicated thrice. With an increased grain yield of 5.71 t/ha, SRI-establishment showed a significant yield advantage of 0.83 t/ha coupled with 2.64% more consumptively used water and 1.29 kg/ha-mm more water-use efficiency over CRC. Results showed strong positive correlation (0.95**) between water-use efficiency (WUE) and yield attributes primarily the effective tillers/m2. Regression analysis revealed that irrespective of establishment methods, the consumptive use (CU) of water, accumulated incident photosynthetically active radiation (AIPAR), radiation-use efficiency (RUE) and heat-use efficiency (HUE) greatly influenced the grain yield. However, in SRI, WUE appeared to be an additional key determinant of grain yield. Between 2 establishment methods, SRI was found to be more competent in utilizing water and solar radiation owing to its ideal canopy environment.