Miracle-dz/UniFAR-FTUs huggingface dataset:
Parity-violating CMB correlators with non-decaying statistical anisotropy

We examine the effect induced on cosmological correlators by the simultaneous breaking of parity and of statistical isotropy. As an example of this, we compute the scalar-scalar, scalar-tensor, tensor-tensor and scalar-scalar-scalar cosmological correlators in presence of the coupling ℒ = f(ϕ) ( − 1/4 F2 + γ/4 F ̃F ) between the inflaton ϕ and a vector field with vacuum expectation value A. For a suitably chosen function f, the energy in the vector field ρA does not decay during inflation. This results in nearly scale-invariant signatures of broken statistical isotropy and parity. Specifically, we find that the scalar-scalar correlator of primordial curvature perturbations includes a quadrupolar anisotropy, Pζ(k) = P(k)[1+g*(k̂⋅Â)2], and a (angle-averaged) scalar bispectrum that is a linear combination of the first 3 Legendre polynomials, Bζ(k1, k2, k3) = ∑L cL PL (k̂1 ⋅ k̂2) P(k1) P(k2) + 2 perms , with c0:c1:c2=2-3:1 (c1≠0 is a consequence of parity violation, corresponding to the constant 0γ ≠ ). The latter is one of the main results of this paper, which provides for the first time a clear example of an inflationary model where a non-negligible c1 contribution to the bispectrum is generated. The scalar-tensor and tensor-tensor correlators induce characteristic signatures in the Cosmic Microwave Background temperature anisotropies (T) and polarization (E/B modes); namely, non-diagonal contributions to ⟨aℓ1m1a*ℓ2m2⟩, with |ℓ1 − ℓ2| = 1 in TT, TE, EE and BB, and |ℓ1 − ℓ2| = 2 in TB and EB. The latest CMB bounds on the scalar observables (g*, c0, c1 and c2), translate into the upper limit ρA / ρϕ ≲ 10−9 at 0γ=. We find that the upper limit on the vector energy density becomes much more stringent as γ grows.
First In Family, First For Family: Indigenous academic women's legacy motivation

Indigenous academics are a minority within the academy, with the disparity between Indigenous and non-Indigenous academics, staffing, and student numbers well established. A growing body of literature examines the motivations of Indigenous peoples who enroll and complete University degrees, however a dearth of literature examines the journeys and motivations of those who choose to be academics. A review of papers largely produced by Indigenous academics highlights that though a paucity of literature directly centers their motivation in undertaking their initial studies or joining the academy; legacy, family and community motivations appear regularly, though often mentioned in incidental, backgrounded or de-centered ways. Drawing upon existing literature, interviews with 17 Indigenous academic women, and Indigenous Research Methodologies, this article foregrounds and centers consideration of legacy motivations for academic women’s professional work, and initial journey into higher education study. It argues the implications of academic engagement for Indigenous women, in so-called Australia, include wider influences, impacts and outcomes for their immediate familial, extended kinship and broader Indigenous community groups. It posits that these are not secondary or incidental, but primary motivations and shaping influences on Indigenous women's academics careers and how they should be understood, valued and supported by institutions.
Manufacturing background CEOs and corporate cost management: evidence from listed manufacturing firms

ABSTRACT Manufacturing is fundamental to the real economy. Given the central role of cost management in the manufacturing industry, we study the role of people in firms’ cost management. We find that manufacturing background CEOs significantly decrease cost stickiness. The results can be explained by a manufacturing background CEO’s focus on corporate cost management and his superior ability to choose flexible production to accelerate inventory flow and mitigate the bullwhip effect. We also show that the impact of manufacturing background CEOs on cost stickiness is more prominent in firms with high demand uncertainty, high economic policy uncertainty, high asset intensity, or low customer concentration. Finally, we report evidence that CEOs with manufacturing and finance backgrounds are associated with less cost stickiness, thus confirming the critical role of business-finance integration in cost management. In sum, these findings highlight the importance of talents in building a powerful manufacturing country.
The Implementation of Genre-Based Pedagogy with Technology in EFL Classroom

The implementation of genre-based pedagogy in the education context has been proven to improve student’s literacy skills, especially writing skills. However, along with the development of technology, the EFL classrooms have integrated technology as a tool for teachers and students to achieve learning goals. This study attempts to investigate the re-contextualization of genre-based pedagogy in the technology-integrated classroom. This study follows a qualitative research design that focused on phenomenology research design in order to explore the teachers’ experience in implementing the genre-based pedagogy with technology in teaching writing. This study involved two English teachers from Junior High School in Bandung, West Java. The data was obtained from the in-depth interviews and then analysed qualitatively by transcribing the data interview and drawing conclusions. The result of this study showed that teachers have conducted the stages of genre-based pedagogy properly with technology-assisted. The use of technology tools in teaching writing can make students develop their background knowledge about some texts in a particular genre and also constructed purposeful and creative writing. Therefore, the implementation of genre-based pedagogy with technology in teaching writing has an important role to increase students’ literacy skills.
Comprehensive Temperature-Dependent DC Characterization of Organic Thin Film Transistor for Sensing Applications

This study presents a comparative analysis of the performance of a p-type (Pentacene) organic thin-film transistor (OTFT) for temperature sensing using organic and inorganic dielectrics (low-k dielectric and high-k dielectrics) such as PVA, SiO<sub>2</sub>, and HfO<sub>2</sub> in the saturation region of device operation. The device and the channel parameters such as mobility, threshold voltage, etc. are extracted using the conventional extraction approach at a temperature range of 293– 363 K. The simulation findings indicate how these characteristics change as a function of temperature, and hence could be employed in sensing applications. It is realized that the optimum performance is shown by the high-k dielectric (HfO<sub>2</sub>), where the mobility is <inline-formula> <tex-math notation="LaTeX">$\sim \,\,4.25\times 10^{-3}$ </tex-math></inline-formula> cm<sup>2</sup> /Vs, a low subthreshold slope of 59.6 mV/decade, a high ON/OFF ratio close to <inline-formula> <tex-math notation="LaTeX">$9.4\times 10^{16}$ </tex-math></inline-formula>, low contact resistance of 1.1 <inline-formula> <tex-math notation="LaTeX">$\text{G}{\Omega }$ </tex-math></inline-formula> and threshold voltage (<inline-formula> <tex-math notation="LaTeX">$\text{V}_{{\mathrm {TH}}}$ </tex-math></inline-formula>) decreases linearly (positive shift) with increasing temperature. The low value of <inline-formula> <tex-math notation="LaTeX">$\text{V}_{{\mathrm {TH}}}$ </tex-math></inline-formula> ensures low operating voltage thus enabling the realization of a low power temperature sensor. It is shown that there is a 10<sup>4</sup> percentage change in the ON/OFF ratio which leads to the conclusion that the ON/OFF ratio can be a deciding factor in determining the optimum device parameter for sensing applications. Apart from this, the threshold voltage and the subthreshold slope (SS) are also equally important that affect the performance of the sensors. Notably, the temperature coefficient which denotes the change in device parameter per degree change in temperature is calculated for a more comprehensive study. It is observed that the temperature coefficient for drain current is <inline-formula> <tex-math notation="LaTeX">$11.8\times 10^{-3}$ </tex-math></inline-formula> ng a large change in electrical characteristics when the temperature is altered by 1 kelvin.
THE CODE OF ETHICS OF THE FEDERAL PUBLIC SERVER: PERCEPTIONS AND INFLUENCE ON THE MANAGEMENT OF A PUBLIC UNIVERSITY

P Purpose: describe the perception of professors and technical-administrative staff of an Institution of Higher Education on the practice of the Code of Ethics of the Federal Public Server and its influence in public management. Method / approach: descriptive case study. A quanti-qualitative questionnaire was applied to the staff of the institution studied based on the Code of Professional Ethics of Civil Servant of the Federal Executive Authorities. Main findings: the low use/application of the code of ethics was perceived as a guiding element in institutional actions; the code as a formal system is losing space for other formal systems, such authority structures and systems of reward; but mainly for informal systems, such as the behavior of pairs or unwritten rules. Methodological / social / managerial contributions: the contributions of this paper focus on the debate and administrative reflection of the code of ethics as a guiding system for good practices aimed at the common good, as well as in the construction of moral responsibility for ethical deliberations in the public service. Originality / relevance: a previous study on the code of ethics in public universities indicated that little importance has been given to raising awareness about ethics in the public service. This identification reinforces the need to continue studies on the topic, specifically on its importance and influence on management processes, transparency and good practices aimed at moral action and public interest.
Intensity data correction based on incidence angle and distance for terrestrial laser scanner

Abstract. Terrestrial laser scanning (TLS) systems not only convey geometric information but also deliver backscattered intensity data of the scanned targets, which are generally acknowledged as significant observations that involve target reflectance information. Numerous studies have shown the potential of TLS intensity in many applications. However, directly using original intensity data is not recommended because of the existence of radiometric system variations, scan geometry discrepancies, environmental differences, and other factors. Performing radiometric correction is, therefore, indispensable to fully eliminate these effects and to compute target reflectance as accurately as possible. In this study, we investigate the effects of incidence angle and distance on intensity measurements and propose a practical method to eliminate the two effects for different TLS instruments. The results show that incidence angle and distance significantly influence TLS intensity data, and the proposed model with versatility can accurately correct the laser intensity value to eliminate the effects of incidence angle and distance.
Adaptive Fuzzy Output Feedback Tracking Control for Uncertain Nonstrict Feedback Systems With Variable Disturbances via Event-Triggered Mechanism

This article studies the adaptive fuzzy event-triggered output feedback control for nonlinear systems. The systems have the nonstrict feedback structure and variable disturbances simultaneously. A fuzzy state observer with an adaptive parameter is first proposed, and a less conservative condition to solve the observer gains is obtained. By constructing the command filter, the compensator, the fuzzy controller, the event-triggered mechanism, and the adaptive parameter, the adaptive fuzzy output feedback control scheme is built to guarantee that all the signals of the closed-loop systems are bounded, and the tracking errors are less than a prescribed accuracy in finite time. Simulation examples confirm the effectiveness of the proposed method.
Agile and Energy-Efficient Jumping–Crawling Robot Through Rapid Transition of Locomotion and Enhanced Jumping Height Adjustment

A small-scale jumping–crawling robot expands the accessible region of a robot by selectively performing suitable locomotion type. However, the parallel elastic actuation for jumping, which amplifies a lightweight actuator's limited power, couples the motion between the energy storing process and the crouching of the jumping linkage. This coupling hinders the quick transition of the locomotion from jumping to crawling and limits the jumping height control. Furthermore, these two defects degrade the agility and the energy-efficiency of the robot. In this article, we present a jumping–crawling robot with enhanced agility and energy-efficiency by decoupling the energy storage and crouching of the jumping linkage. The decoupling is achieved by implementing a passive clutch that properly switches the connection between the energy storage component and the jumping linkage. As a result, the proposed jumping–crawling robot can promptly change the locomotion type, and can adjust the jumping height from 0.1 to 0.8 m. These features reduce the time and energy consumption of the jumping–crawling robot during the demonstration of multimodal locomotion up to 40 and 30% respectively, compared to the robot without the proposed decoupling approach.
Adaptive Inflow Control System

This article presents the idea and realization for the unique Adaptive Inflow Control System being a part of well completion, able to adjust to the changing in time production conditions. This system allows to limit the flow rate from each interval at a certain level, which solves the problem of water and gas breakthroughs. We present the results of laboratory tests and numerical calculations obtaining the characteristics of the experimental setup with dual-in-position valves as parts of adaptive inflow control system, depending on the operating conditions. The flow distribution in the system was also studied with the help of three-dimensional computer model. The control ranges dependences are determined, an influence of the individual elements on the entire system is revealed.
Cube-Based Multitarget 3D Localization Using Bayesian Learning-Based Turbo Decoding in Wireless Sensor Networks

Wireless techniques have progressed beyond two-dimensional (2D) applications; in particular, three-dimensional (3D) localization in wireless sensor networks has attracted increasing attention. While many research works in 3D localization focused on the accuracy enhancement of schemes based on the sensors’ measurements, limited research works addressed the design of 3D localization schemes considering the narrowband signal restriction of sensors. Against this background, we propose a cube-based multitarget three-dimensional (3D) localization solution by exploiting sensors’ time-difference-of-arrival (TDOA) measurements. In particular, unlike the traditional TDOA based scheme, our scheme works in an asynchronous network. Our contributions are twofold. First, the distributed TDOA–based sensor arrays placed with a predefined method create a cube-based location system in 3D space. Second, we propose a turbo expectation propagation (EP)-based decoding algorithm (TED). EP computation is an efficient tool in Bayesian machine learning. With the assistance of the iterative sensor reliability correction (ISRC), we propose an improved algorithm referred to as ISRC-TED. Specifically, the ISRC-TED algorithm outperforms the TED algorithm by utilizing the decisions of the sensor array at every iteration to improve the decoding accuracy further. A reduced-complexity tree search–based decoding strategy for TED and ISRC-TED is also proposed. In simulations, the proposed TED and ISRC-TED algorithms were highly effective, even when the partial sensor network was in power-saving mode. For example, the proposed ISRC-TED algorithm had almost no localization performance loss when 10% of the sensors were in sleep mode.
Island of misfit tortoises: waif gopher tortoise health assessment following translocation.

Translocation, the intentional movement of animals from one location to another, is a common management practice for the gopher tortoise (Gopherus polyphemus). Although the inadvertent spread of pathogens is a concern with any translocation effort, waif tortoises-individuals that have been collected illegally, injured and rehabilitated or have unknown origins-are generally excluded from translocation efforts due to heightened concerns of introducing pathogens and subsequent disease to naïve populations. However, repurposing these long-lived animals for species recovery is desirable when feasible, and introducing waif tortoises may bolster small populations facing extirpation. The objective of this study was to assess the health of waif tortoises experimentally released at an isolated preserve in Aiken County, SC, USA. Our assessments included visual examination, screening for 14 pathogens using conventional or quantitative polymerase chain reaction (qPCR) and haematological evaluation. Of the 143 individuals assessed in 2017 and 2018, most individuals (76%; n = 109 of 143) had no overt clinical evidence of disease and, when observed, clinical findings were mild. In both years, we detected two known tortoise pathogens, Mycoplasma agassizii and Mycoplasma testudineum, at a prevalence of 10.2-13.9% and 0.0-0.8%, respectively. Additionally, we found emydid Mycoplasma, a bacterium commonly found in box turtles (Terrapene spp.), in a single tortoise that showed no clinical evidence of infection. The presence of nasal discharge was an important, but imperfect, predictor of Mycoplasma spp. infection in translocated tortoises. Hemogram data were comparable with wild populations. Our study is the first comprehensive effort to assess pathogen prevalence and hemogram data of waif gopher tortoises following translocation. Although caution is warranted and pathogen screening necessary, waif tortoises may be an important resource for establishing or augmenting isolated populations when potential health risks can be managed.
Small Sample Confidence Intervals in Log Space Back-Transformed from Normal Space

Abstract : The logarithmic transformation is commonly applied to a lognormal data set to improve symmetry, homoscedasticity, and liearity. Simple to implement and easy to understand, the logarithm function transforms the original data to closely resemble a normal distribution. Analysis in the normal space provides point estimates and confidence intervals, but transformation back to the original space using the naive approach yields confidence intervals of impractical width. The naive approach offers results that are often inadequate for practical purpose. We present an alternative approach that provides improved results in the form of decreased interval width, increased confidence level, or both. Our alternative approach yields dramatically improved results at small sample sizes drawn from the right tail of the lognormal distribution.
Nested multigrid vector and scalar potential finite element method for three‐dimensional time‐harmonic electromagnetic analysis

A new finite element methodology is presented for fast and robust numerical simulation of three‐dimensional electromagnetic wave phenomena. The new methodology combines nested multigrid techniques with the ungauged vector and scalar potential formulation of the finite element method. The finite element modeling is performed on nested meshes over the computational domain of interest. The iterative solution of the finite element matrix on the finest mesh is performed using the conjugate gradient method, while the nested multigrid vector and scalar potential algorithm acts as the preconditioner for the iterative solver. Numerical experiments from the application of the new methodology to three‐dimensional electromagnetic scattering are used to demonstrate its superior numerical convergence and efficient memory usage.
Performance and mechanisms of enhanced oil recovery via amphiphilic polymer flooding in high salinity reservoir

Abstract The amphiphilic polymer has excellent performance and is expected to replace traditional polymer oil-displacing agent in China. In this study, the iso-viscosity method evaluates the oil displacement performance of the betaine-type amphiphilic polymers with different content of hydrophobic groups in high salinity reservoirs. Rheometer, emulsion stability analyzer, laser particle size analyzer, and visualization of microscopic displacement are used to explore their oil displacement mechanism. The results show that the content of hydrophobic groups, and the recovery ratio of polymer flooding shows a positive correlation. The difference in the displacement performance reflects the difference in the viscoelasticity of the displacement system and the ability to emulsify crude oil. The synergistic effect of the two aspects further improves the oil washing efficiency. This study provides a reference for the practical application of the amphiphilic polymer, providing a theoretical basis to select polymer flooding agents in high salinity reservoirs.
Cosmology : the physics of the universe : proceedings of the Eighth Physics Summer School, the Australian National University, Canberra, Australia, 16 January - 3 February 1995

Introduction to general relativity, M.R. Anderson classical cosmology, G. Borner particle physics applied to cosmology, J. Ellis dark matter, K.C. Freeman high red-shift galaxies, R.W. Hunstead very early universe, V.N. Lukash age of the universe, J.R. Mould numerical cosmology, P. Quinn topological defects, S.J. Poletti nucleosynthesis, D.N. Schramm epoch of galaxy formation, J. Silk large scale structure of the universe, A.S. Szalay gravitational lensing, R. Webster quantum cosmology, D.L. Wiltshire.
A wavelet-based technique for identifying, labeling, and tracking of ocean eddies

Abstract Wavelet analysis offers a new approach for viewing and analyzing various large datasets by dividing information according to scale and location. Here a new method is presented that is designed to characterize time-evolving structures in large datasets from computer simulations and from observational data. An example of the use of this method to identify, classify, label, and track eddylike structures in a time-evolving dataset is presented. The initial target application is satellite data from the TOPEX/Poseiden satellite. But, the technique can certainly be used in any large dataset that might contain time-evolving or stationary structures.