Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards Non-Lambertian Scenes for Tensor Displays

Tensor displays are screens able to render a light field with correct depth perception without wearing glasses. Such devices have already been shown to be able to accurately render a scene composed of Lambertian objects. This paper presents the model and prototyping of a tensor display with three layers, using re-purposed computer monitors, and extends the light field factorization method to non-Lambertian objects. Furthermore, we examine the relation and limitations between the depth-of-field and the depth range with Lambertian and non-Lambertian scenes. Non-Lambertian scenes contain out-of-range disparities that can not be properly rendered with the usual optimization method. We propose to artificially compress the disparity range of the scene by using two light fields focused on different depths, effectively solving the problem and allowing to render the scene clearly on both simulated and prototyped tensor display.
Height information aided 3D real‐time large‐scale underground user positioning

Due to the cost of inertial navigation and visual navigation equipment and lake of satellite navigation signals, they cannot be used in large ‐ scale underground mining environment. To solve this problem, this study proposes a large ‐ scale underground 3D real ‐ time positioning method with seam height assistance. This method uses the ultra wide band positioning base station as the core and is combined with seam height information to build a factor graph confidence transfer model to realise 3D positioning. The simulation results show that the proposed real ‐ time method is superior to the existing algorithms in positioning accuracy and can meet the needs of large ‐ scale underground users.
Surface properties of epitaxially grown crystals

We present models of surfaces of crystals in an environment where molecular beam epitaxy (MBE) and related methods of crystal growth like atomic layer epitaxy (ALE) can be performed. Besides detailed models of reconstructed (001) surfaces of II-VI semiconductors like CdTe and ZnSe, we study generic models to adress fundamental properties of epitaxial growth like kinetic roughening and the coarsening of mounds. A lattice gas model of flat (001) surfaces of CdTe and ZnSe in thermal equilibrium suggest an interpretation of the transition between a c(2x2) reconstruction at low temperature and a (2x1) reconstruction at high temperature as an encompanying effect of an order-disorder phase transition. We extend this lattice gas model to models of three-dimensional crystals. Using one of these models, we have performed the (to the best of our knowledge) first simulations of ALE. We apply the WTMM method to investigate the scaling properties of kinetically rough surfaces obtained by the simulation of MBE growth on the surface of a simple cubic crystal. Our results support a generalization of Family-Vicsek scaling. We show, that this is the most general scaling behaviour if dynamic scale invariance is fulfilled and a correlation length is the only relevant lengthscale of the surface. Finally, we consider the coarsening of mounds on surfaces of crystals having different lattice structures. We find, contrary to the results of a continuum theory of Siegert et. al. and Golubovic et. al., that the dynamic exponents are independent of the surface symmetry.
Agricultural infrastructures: Land, race, and statecraft in Turkey

This article argues that biopolitical infrastructures have been central features of Turkey’s ongoing colonization of Kurdish territories and populations and that the Green Revolution, despite its promise of progress and abundance, needs to be understood as part of this history of racialized state-making. In doing so, it joins recent literature that uncovers the local roots of the Green Revolution in domestic politics and land struggles in the global south, also revealing the entwined histories of accumulation and colonial and racial dispossession with agricultural norms and practices. Drawing on research in the records of the Economic Cooperation Administration, US Agency for International Development, Rockefeller Foundation Archives, Turkish parliamentary debates, and contemporaneous journals, I show how the Green Revolution can in fact be retold as an episode in a longer history of struggles over the distribution and use of land, the construction of agricultural infrastructures, and how these questions have been complicated by class, ethnic, racial, gender, and political divisions. The paper thus situates Turkey in a transnational history of agrarian development, while also relating the adoption of high yield seeds, pesticides, and grain cultivation to projects of land consolidation, internal colonialism, and racialized methods of state formation.
On the convergence and stability analysis of finite-difference methods for the fractional Newell-Whitehead-Segel equations

In this study, standard and non-standard finite-difference methods are proposed for numerical solutions of the time-spatial fractional generalized Newell-Whitehead-Segel equations describing the dynamical behavior near the bifurcation point of the Rayleigh-Benard convection of binary fluid mixtures. The numerical solutions have been found for high values of p which shows the degree of nonlinear terms in the equations. The stability and convergence conditions of the obtained difference schemes are determined for each value of p . Errors of methods for various values of p are given in tables. The compatibility of exact solutions and numerical solutions and the effectiveness of the methods are interpreted with the help of tables and graphics. It can be said that not only standard and non-standard finite-difference methods are feasible and effective methods to solve the given equation numerically but also useful in terms of computational cost and memory.
Highly flexible metal/metal oxide embedded carbon nanofiber membranes as binder‐free materials for Lithium‐ion batteries

Free‐standing materials with good flexibility is of great interest for energy storage applications. Herein, N‐MnO carbon nanofibers (N‐MnC) composite is synthesized by introducing one dimensional MnO2 nanowires (1D MnO2 NWs) into PAN and PVB composite solution through electrospinning. The synthesized membranes are directly used as freestanding electrodes for lithium‐ion battery (LIB) applications. During synthesis, MnO2 NWs transformed into MnO spherical nanoparticles (NPs) and embedded on carbon nanofibers (CNFs), resulting in an N‐MnC composite. N‐MnC composite exhibited a discharge/charge capacity of 1405/1114 mAhg−1 at a current density of 0.1 Ag−1 as an anode for LIBs which is much better than that of pure MnO, MnO2 electrodes. The outstanding performance of N‐MnC composite may be credited to its good electrical conductivity, structural integrity, low dimension CNFs (high surface area), and good contact between CNFs and MnO NPs. Hence, the simple and cost‐effective strategy of fabricating freestanding electrodes with high flexibility and good conductivity is the most promising approach for addressing practical concerns at the device level, especially for lightweight and flexible electronics.
Observing System Experiments Using KLAPS and 3DVAR for the Upper-Air Observations over the South and West sea during ProbeX-2009

Numerical prediction capability has been improved over the decades, but progress of prediction for high-impact weather (HIW) was unsatisfactory. One reason of low predictability for HIW is lack of observation data. The National Institute of Meteorological Research (NIMR) has been performed observation program for improvement of predictability, and reduction in social and economical cost for HIW. As part of this observation program, summer intensive observation program (ProbeX-2009) was performed at the observation-gap areas from 25 August to 6 September 2009. Sounding observations using radiosonde were conducted in the Gisang2000 research vessel (R/V) from the Korea Meteorological Administration (KMA) over the West Sea and the Eardo R/V from the Korea Ocean Research and Development Institute (KORDI) over the South Sea. Observation System Experiment (OSE) is carried out to examine the effect of ProbeX-2009 data. OSEs using Korea Local Analysis and Prediction System (KLAPS) and Weather Research and Forecasting (WRF) Model are conducted to investigate the predictability for a short time forecast. And, OSEs using WRF/3DVAR system and WRF forecast model are conducted to study the predictability for an extended time. Control experiment (K_CTL and CNTL) used only GTS observation and experiment (K_EXP and SWEXP) used ProbeX-2009 data from two system are performed. ETS for 3hr accumulated rainfall simulated by KLAPS-WRF shows that K_EXP is higher than K_CTL. Also, ETS for 12hr accumulated rainfall of SWEXP from 3DVAR-WRF is higher than CNTL. The results indicate that observation over the ocean has positive impact on HIW prediction.
The out-of-bootstrap method for model averaging and selection

We propose a bootstrap-based method for model averaging and selection that focuses on training points that are left out of individual bootstrap samples. This information can be used to estimate optimal weighting factors for combining estimates from diierent bootstrap samples, and also for nding the best subsets the linear model setting. These proposals provide alternatives to Bayesian approaches to model averaging and selection, requiring less computation and fewer subjective choices.
Diet Quality, Diet Motives, and Nutrition Literacy of Vegans, Vegetarians, and Semi-Vegetarians

DIET QUALITY, DIET MOTIVES, AND NUTRITION LITERACY OF VEGANS, VEGETARIANS, AND SEMI-VEGETARIANS by Sapna Peruvemba Individuals consuming plant-based diets have shown favorable dietary behaviors and diet quality. However, differences in diet quality considering motivations to adopt plantbased (vegan, vegetarian, and semi-vegetarian) diets and nutrition literacy, are not well known. The primary objective of this study was to assess diet quality, diet motives and nutrition literacy in vegans, vegetarians, and semi-vegetarians. The secondary objective was to investigate the association between diet motives and dietary quality. In this crosssectional study, 223 participants completed an online survey and food frequency questionnaire. The study used the Healthy Eating Index-2015 to measure dietary quality, the Food Choice Questionnaire to measure diet-related motives, and the Nutrition Literacy Assessment Instrument to measure nutrition literacy. Vegans had higher diet quality (80.8±6.5 out of 100, p<0.001) compared to vegetarians (75.1±9.1), and semivegetarians (76.8±7.5). Ethics was the top diet motive for 69.4% of vegetarians, while health was the top motive for 50% of vegans and 45.3% of semivegetarians. No differences in nutrition literacy were observed among groups; the overall mean score was 59.0±3.1 (out of 64). An increased importance of health (p=0.004) and natural content (p=0.016) was associated with increased diet quality, whereas an increased importance of sensory appeal (p=0.047) and weight control (p=0.033) was associated with decreased diet quality. Overall, the plant-based population has high diet quality and nutrition literacy. Future programs can make public health messages that encourage plant-heavy diets more appealing by considering top motives and nutrition literacy.
Raising the Awareness of Shortfalls of Transition Programs in International Schools: From the Perspective of a Third Culture Kid

The rise of globally mobile families has led to an increase in the number of students enrolling at international schools. The students’ parents expect these schools to provide a comparable education to what a student would receive in their home or passport country, but as Third Culture Kids, these students may face additional challenges compared with domestic students. This paper, focusing on one student’s lived experience, comes from a larger doctoral research project focusing on the lived experience of English speaking Third Culture Kids who attend an international school where although the language of instruction is English, the language spoken by most of the students is not. Schools need to consider how they support Third Culture Kids and what strategies would ensure the transition experience is a positive one. By talking directly to the students, this interpretative phenomenological analysis research will specifically explore how, from Third Culture Kids’ perspective, schools have supported their transition into a new international school. The paper discusses themes that international schools should consider when dealing with Third Culture Kids including managing the expectations of both the parents and the students. The paper also offers suggestions an international school could adopt that will improve the experience of a Third Culture Kid before they arrive at the school and after they begin as a student. This paper seeks to raise awareness of the negative experience encountered by Third Culture Kids through the voice of one of those students.
Lattice Boltzmann simulation of wetting gradient accelerating droplets merging and shedding on a circumferential surface

A lattice Boltzmann method (LBM) based on Shan-Chen pseudo-potential model is used to investigate the process of droplets merging and shedding on a gradient wetting circular surface. The effects of wetting gradient, radius, and radius ratio on droplet merging and shedding were mainly explored. The results show that applying a wetting gradient on the circumferential surface can accelerate the process of droplet merging and shedding. The velocity of droplets merging and shedding increase with the increase of the wetting gradient. The more hydrophilic the original surface, the better the optimization effect of accelerating drainage is by applying a wetting gradient. The radius and radius ratio significantly affect droplets merging and shedding on the gradient wetting surface. The larger the radius and radius ratio, the shorter the droplets merging and shedding time.
Vascular Response of Tetrabromobisphenol a in Rat Aorta: Calcium Channels Inhibition and Potassium Channels Activation

Tetrabromobisphenol A (TBBPA) is a flame retardant widely used to reduce flammability. It is an endocrine disruptor, and due to constant human exposure, some concerns have been raised regarding its impact on human health. Studies showed that TBBPA affects oxidative stress, cell proliferation and intracellular calcium levels. However, the vascular consequences of TBBPA exposure are still relatively unexplored. Hence, this work aimed to analyse TBBPA effects on rat aortic smooth muscle and its action mechanisms. Through an ex vivo approach, Wistar rat aortas were used in an organ bath to evaluate the vascular effect of TBBPA (0.01–100 μM). Additionally, TBBPA’s mode of action was studied through calcium and potassium channel inhibitors. Resorting to in vitro studies, A7r5 cells were used to analyse L-Type voltage-gated calcium channel (VGCC) activity through the whole-cell configuration of the patch clamp technique, and the mRNA expression of proteins and ion channels involved in vascular contractility. The results showed vasorelaxation of rat aorta induced by TBBPA exposure, involving the inactivation of L-Type VGCC and activation of potassium channels, and the modulation of mRNA expression of L-type calcium and large-conductance calcium 1.1 and the BKCa 1.1 α- and β1 -subunit channels, soluble guanylyl cyclase and protein Kinase G.
Numerical Analysis: A Mathematical Introduction

PART I: THE ENTRANCE FEE 1. Floating numbers 2. A flavour of numerical analysis 3. Algebraic preliminaries PART II: POLYNOMIAL AND TRIGONOMETRIC APPROXIMATION OF FUNCTIONS 4. Interpolation and divided differences 5. Least squares for polynomials 6. Splines 7. Fourier's world 8. Quadrature PART III: NUMERICAL LINEAR ALGEBRA 9. Gauss' world 10. Theoretical interlude 11. Iterations and recurrences 12. Pythagoras' world PART IV: NON-LINEAR PROBLEMS 13. Spectra 14. Non-linear equations and systems 15. Solving differential systems 16. Single step schemes 17. Linear multi-step schemes 18. Toward partial differential equations Bibliography Index
Best Linear Unbiased Estimation Fusion with Constraints

Estimation fusion, or data fusion for estimation, is the problem of how to best utilize useful information contained in multiple data sets for the purpose of estimating an unknown quantity — a parameter or a process. Estimation fusion with constraints gives rise to challenging theoretical problems given the observations from multiple geometrically dispersed sensors: • Under dimensionality constraints, how to preprocess data at each local sensor to achieve the best estimation accuracy at the fusion center? • Under communication bandwidth constraints, how to quantize local sensor data to minimize the estimation error at the fusion center? • Under constraints on storage, how to optimally update state estimates at the fusion center with out-of-sequence measurements? • Under constraints on storage, how to apply the out-of-sequence measurements (OOSM) update algorithm to multi-sensor multi-target tracking in clutter? The present work is devoted to the above topics by applying the best linear unbiased estimation (BLUE) fusion. We propose optimal data compression by reducing sensor data from a higher dimension to a lower dimension with minimal or no performance loss at the fusion center. For single-sensor and some particular multiple-sensor systems, we obtain the explicit optimal compression rule. For a multisensor system with a general dimensionality requirement, we propose the Gauss-Seidel iterative algorithm to search for the optimal compression rule. Another way to accomplish sensor data compression is to find an optimal vii sensor quantizer. Using BLUE fusion rules, we develop optimal sensor data quantization schemes according to the bit rate constraints in communication between each sensor and the fusion center. For a dynamic system, how to perform the state estimation and sensor quantization update simultaneously is also established, along with a closed form of a recursion for a linear system with additive white Gaussian noise. A globally optimal OOSM update algorithm and a constrained optimal update algorithm are derived to solve one-lag as well as multi-lag OOSM update problems. In order to extend the OOSM update algorithms to multisensor multitarget tracking in clutter, we also study the performance of OOSM update associated with the Probabilistic Data Association (PDA) algorithm.
Decreasing Inappropriate Telemetry Use via Nursing-Driven Checklist and Electronic Health Record Order Set

Introduction: Telemetry is ubiquitous in many hospitals despite widely acknowledged limitations, waste, and potential harm associated with inappropriate use. To curb overuse, guidelines such as the 2017 American Heart Association/American College of Cardiology (AHA/ACC) continuous telemetry monitoring practice standards have outlined appropriate telemetry use standards. This study aimed to perform two “plan-do-study-act” (PDSA) cycles and assess whether a nursing (RN)-driven checklist addressing appropriate telemetry use, combined with just-in-time education delivered via an electronic health record (EHR) order set modification, was efficacious in reducing inappropriate telemetry use within a level 1a Veterans Health Administration hospital. Methods: This is a quality improvement intervention study that took place between March 2019 and August 2020. Three cohorts were sequentially studied: a control cohort without any intervention (n = 100), a cohort with only the RN-driven checklist (n = 100), and a cohort with both the RN-driven checklist and an EHR order set modification that provided just-in-time education about telemetry indications (n = 100). Telemetry records were reviewed by a physician to determine indication, duration for each telemetry order, and appropriateness. An order was deemed “appropriate” if it met AHA/ACC classification grade I (telemetry recommended) or IIa/b (telemetry may be considered) and “inappropriate” if it fell under class III (telemetry not recommended). Data were compared between the control cohort and the two intervention cohorts, as well as between intervention cohorts, using Pearson chi-square analysis. A p-value < 0.05 was considered statistically significant. Results: Within the control group, 37% of telemetry orders were deemed inappropriate. After implementation of the RN checklist, a non-statistically significant lower proportion (26%) of orders was deemed inappropriate (p = 0.09). Implementation of the RN checklist, along with the EHR order set, was associated with a significantly lower proportion of inappropriate orders (17%) in comparison to the control cohort (p = 0.001) but not in comparison to the RN checklist cohort (p = 0.12). There was no significant difference in the duration of telemetry use across cohorts. Conclusions: An RN-driven checklist and EHR telemetry order set modification were associated with a decrease in inappropriate telemetry use from 37% to 17%. By prompting the review of telemetry orders via a daily nursing checklist reviewed during bedside interdisciplinary rounds, clinicians received reinforcement regarding appropriate telemetry indications. This education was strengthened by the just-in-time training provided via the EHR order set.
A Field Study on the Relationship between Personality and Professional Commitment

The study aims to reveal the relationship between the personality traits and professional commitment of university students and to determine whether personality affects professional commitment. For this purpose, 272 students studying at Akdeniz University, Faculty of Tourism participated in the research. A questionnaire was used as the data collection tool. Arithmetic mean and standard deviation values were calculated to determine students’ personality traits and organizational commitment levels. Correlation analysis was performed to calculate the relationships between the variables discussed in the study, and multiple linear regression analysis was carried out to identify the predictive power that the independent variables had on the dependent variables. Research results indicated that there was a significant and positive relationship between the students' personality traits and professional commitment levels. In addition, it was determined that the extraversion personality trait was a significant predictor of the affective commitment dimension, neuroticism personality trait was a significant predictor of the continuance commitment dimension, and agreeableness personality trait was a significant predictor of the normative commitment dimension. It is believed that the results of the study will provide concrete information about the relationship between professional commitment, one of the main problem areas of the sector, and personality, one of the key concerns and interesting topics in the field of organizational behavior and bring considerable benefits to the business world.
The Black-Scholes Equation and Formula

The purpose of this paper is to present fundamental arbitrage theory and its applications to pricing financial derivatives, in a way that does not require a previous knowledge of Stochastic Calculus or Measure theory. It starts off with an easy introduction to the financial market in Chapter 1 and tackles the tough tools, namely Stochastic calculus, in Chapter 2. We use this theory to derive the Black-Scholes equation and Black-Scholes formula.