Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterizing canopy height with UAS structure-from-motion photogrammetry—results analysis of a maize field trial with respect to multiple factors

ABSTRACT Unmanned aircraft system (UAS) measured canopy height has frequently been determined by means of digital surface models (DSMs) derived from structure-from-motion (SfM) photogrammetry without examining specific metrics in detail. Multiple geospatial factors to be considered for the purpose of generating an accurate height estimation were characterized and summarized in this letter using UAS-SfM photogrammetry over an experimental maize field trial. This particular study demonstrated that: 1) the 99th percentile height in a 25 cm-wide crop row polygon provided the best canopy height estimation accuracy; 2) the height difference between using a rasterized DSM and direct three-dimensional (3D) point cloud was minor yet steadily increased when the DSM resolution value grew; and 3) the accuracy of the DSM-based canopy height estimation dropped significantly after the DSM resolution became coarser than 12 cm. Results also suggested that the cost function introduced in this letter has the potential to be used for optimizing the height estimation accuracy of various crop types given ground truth.
The influence of brand innovativeness and quality affect consumer perceived value

This study aims to analyze the effects of two functional brand qualities, innovativeness, and quality, on the perceived value of the consumers, through the mediating role of two symbolic brand qualities, namely brand experience and brand personality. This research is quantitative by using a purposive sampling technique on a population of undergraduate students from all Universities in Indonesia. The number samples were 200 respondents who are the consumers of Indonesian local brand beauty product “Somethinc”, which was taken through an online questionnaire. The data analysis technique used to test the hypotheses in this study is Structural Equation Modeling (SEM) method by relying on the AMOS program (IBM SPSS AMOS version 24.0). The main findings of the study demonstrate that there is a positive and significant influence of brand innovativeness on brand personality, perceived quality on brand experience, perceived quality on brand personality, perceived quality on perceived value, brand experience to perceived value, and brand personality to perceived value. From the proposed model, there are two hypotheses that are not accepted, including the relationship between brand innovativeness with brand experience and brand innovativeness with perceived value. Based on the research results, the rejected hypothesis can occur due to the differences in how individuals perceive the benefits of innovation provided by the company. This study also demonstrates that there is a positive role of two symbolic brand qualities in mediating the relationship between brand innovativeness and perceived quality on consumer perceived value.
STUDY OF GRAVITY-DRIVEN FILM FLOW WITH VARIABLE PHYSICAL PROPERTIES ALONG AN INCLINED WALL

This paper deals with the gravity-driven Newtonian, laminar film flow along an inclined wall with variable physical properties. The similarity transformation inspired by Howarth-Dorodnitsyn transformation has been used here since Falkner-Skan type of similarity transformations is no longer applicable for variable physical properties. Variation of thermo -physical properties with temperature for water, air and engine oil has been observed. Some empirical correlations for the properties are used for the dependency of temperature on properties. Although typically this type of flow is solved as initial value problem with shooting technique, in this thesis, rather it is solved as a non-linear two point boundary value problem more easily. The ordinary differential equations are recast as a first order ordinary differential equations, and then solved by a function 'bvp4c' in MATLAB. Although, there exists variations of properties with temperature for air, water and engine oil, which clearly observed in the corresponding results, results are investigated only for water knowing that other fluids qualitatively will give similar behavior.
Understanding the Sources of Satellite Passive Microwave Rainfall Retrieval Systematic Errors Over Land

AbstractAnalyses of the Tropical Rainfall Measuring Mission (TRMM) satellite rainfall estimates reveal a substantial disagreement between its active [Precipitation Radar (PR)] and passive [TRMM Microwave Imager (TMI)] sensors over certain regions. This study focuses on understanding the role of the synoptic state of atmosphere in these discrepancies over land regions where passive microwave (PMW) retrievals are limited to scattering signals. As such the variability in the relationship between the ice-induced scattering signal and the surface rainfall is examined. Using the Amazon River and central Africa regions as a test bed, it is found that the systematic difference seen between PR and TMI rainfall estimates is well correlated with both the precipitating system structure and the level of its organization. Relying on a clustering technique to group raining scenes into three broad but distinct organizational categories, it is found that, relative to the PR, deep-organized systems are typically overestima.
The Transformative Power of Financial Services on Economic Growth among Households in Mbarara Municipality

Purpose: To establish the relationship between status of available financial services and economic growth of households in Mbarara municipality in Uganda. Methodology: The study adopted cross sectional research design. Out of the 16,861 household of in Mbarara municipality, 100 households were selected using Yaro Yamane’s Statistical formula which gives a better representative sample size out of a big population size as compared to other methods (Yamane, 1969). A Standard linear regression analysis was carried out. Findings: The study findings revealed that there is a substantial positive relationship between status of financial services available and level of economic growth of households in Mbarara Municipality with 41.4% of high level the economic growth of people Mbarara Municipality is because of the good status of financial services available. Other factors such as inflation and government policy accounted for 58.6% of the level of Economic growth of people Mbarara Municipality in Uganda Recommendations: The study also recommends that the government and other stake holders such as Mbarara municipal council and other non-governmental organizations should increase on the status of financial services available buy increasing accessibility, quality and usage since they account for 41.4% of the level the economic growth of people Mbarara Municipality Strategies to control other factors like inflation and political instability such as encouraging industrialization and exports should be put in place so since they account for 58.6% of the level of Economic growth of people Mbarara Municipality
NOMA Assisted Semi-Grant-Free Transmission Scheme in Satellite Systems

This letter investigates the uplink semi-grant-free (SGF) transmission in satellite communication systems. Specifically, based on the available statistical channel state information, we first propose a non-orthogonal multiple access assisted SGF scheme, which enables many multi-antenna mobile terminals and one earth station to access the satellite network within the same resource block. Then, by assuming that the satellite channels undergo shadow-Rician distribution, we derive the closed-form throughput expression of the considered system, where the effect of imperfect successive interference cancelation is taken into account. Finally, simulation results validate the effectiveness of the theoretical analysis and the superiority of our proposed scheme. Besides, the influence of typical parameters on the system performance is also revealed.
The effects of geometry and patch potentials on Casimir force measurements

Title of dissertation: THE EFFECTS OF GEOMETRY AND PATCH POTENTIALS ON CASIMIR FORCE MEASUREMENTS Joseph Landon Garrett, Doctor of Philosophy, 2017 Dissertation directed by: Professor Jeremy Munday Department of Electrical and Computer Engineering Electromagnetic uctuations of the quantum vacuum cause an attractive force between surfaces, called the Casimir force. In this dissertation, the rst Casimir force measurements between two gold-coated spheres are presented. The proximity force approximation (PFA) is typically used to compare experiment to theory, but it is known to deviate from the exact calculation far from the surface. Bounds are put on the size of possible deviations from the PFA by combining several sphere-sphere and sphere-plate measurements. Electrostatic patch potentials have been postulated as a possible source of error since the rst Casimir force measurements sixty years ago. Over the past decade, several theoretical models have been developed to characterize how the patch potentials contribute an additional force to the measurements. In this dissertation, Kelvin probe force microscopy (KPFM) is used to determine the e ect of patch potentials on both the sphere and the plate. Patch potentials are indeed present on both surfaces, but the force calculated from the patch potentials is found to be much less than the measured force. In order to better understand how KPFM resolves patch potentials, the artifacts and sensitivities of several di erent KPFM implementations are tested and characterized. In addition, we introduce a new technique, called tunable spatial resolution (TSR) KPFM, to control resolution by altering the power-law separation dependence of the KPFM signal. THE EFFECTS OF GEOMETRY AND PATCH POTENTIALS ON CASIMIR FORCE MEASUREMENTS
Is there any correlation between frequent lower genital Tract Infections and Human Papillomavirus Infection at the commune level?

Objective: To investigate the association between lower genital tract infection and Human Papillomavirus (HPV) infection. Methods: A descriptive cross-sectional study of 1,007 sexually active women aged 21 to 70 in three areas of Quang Tri province (Hai Lang, Trieu Phong and Gio Linh). The duration of data collection is from July 2019 to July 2020. The cases were evaluated by gynecology to determine the condition of the vaginal discharge and to record normal and abnormal signs and symptoms. Specimens from cervical canal were inspected under a microscope and tested for HPV-DNA using a real-time PCR assay. Results: There were 33 HPV-positive cases, accounting for 3.5% of total cases. Vaginitis caused by bacteria, including bacteria, bacteriophages, and Gardnerella vaginalis, accounted for the largest prevalence of lower genital tract infections at 65.8%, followed by vaginitis caused by Candida fungi at 10.5% and Trichomonas vaginalis at the lowest rate of 0.2%. No statistically significant association was found between HPV infection and vaginitis caused by Bacteria, Gardnerella vaginalis, Candida, and Trichomonas vaginalis, as well as socio-demographic characteristics such as age, education, age at first sexual intercourse, number of sexual partners, marital status, number of children, and smoking (p > 0.05). Conclusion: Despite the fact that lower genital tract infection and HPV infection are not uncommon at the commune level, no association was discovered between the two.
Derivation of Complex Isolated IIR Pole

The complex isolated IIR pole is derived. References given derive a zero from the pole, and illustrate how they are applied to make complex time domain filters. We will start by deriving an IIR representation for a negative real pole, then generalize to the complex case. A formal derivation might derive the difference equation from a differential equation, but a heuristic derivation is more accessible, and will be presented here. We want a unity gain negative real pole, a “leaky integrator”. Let ǫ be a positive real number much smaller than one. A good guess is:
Deterministic solution of a rational linear system of polynomials over

Given a matrix A we present a way to decompose A into two matrices Ux and Hx with x being relatively prime to detUx and (x − 1) being relatively prime to detHx. We then apply this to design a deterministic algorithm for solving a rational linear system of equations over an abstract field K. Given an A ∈ K[x]n×n and b ∈ K[x]n×1 the algorithm will return A−1b ∈ K(x)n×1. The cost of the algorithm is O(nM(d) +nB(nd)) where d is a bound of degree of A and (degree of b)/n, M is the cost of polynomial multiplication, and B is the cost of gcd-like operations. We also present an algorithm using partial linearization to extend the effectiveness of system solvers.
Near optimal step size and momentum in gradient descent for quadratic functions

Many problems in statistical estimation, classification, and regression can be cast as optimization problems. Gradient descent, which is one of the simplest and easy to implement multivariate optimization techniques, lies at the heart of many powerful classes of optimization methods. However, its major disadvantage is the slower rate of convergence with respect to the other more sophisticated algorithms. In order to improve the convergence speed of gradient descent, we simultaneously determine near-optimal scalar step size and momentum factor for gradient descent in a deterministic quadratic bowl from the largest and smallest eigenvalues of the Hessian. The resulting algorithm is demonstrated on specific and randomly generated test problems and it converges faster than any previous batch gradient descent method.
Flow and wakes in large wind farms: Final report for UpWind WP8

max. 2000 char. ): This report summarises the research undertaken through the European Commission funded project UpWind Wp8:Flow. The objective of the work was to develop understanding of flow in large wind farms and to evaluate models of power losses due to wind turbine wakes focusing on complex terrain and offshore. A crosscutting activity was to improve and compare the performance of computational fluid dynamics models with wind farm models. ISSN 0106-2840 ISBN 978-87-550-3878-3 Contract no.: 019945 (SES6) Group's own reg. no.: (Føniks PSP-element)
Development of circular function‐based gas‐kinetic scheme (CGKS) on moving grids for unsteady flows through oscillating cascades

In this paper, the circular function‐based gas‐kinetic scheme (CGKS), which was originally developed for simulation of flows on stationary grids, is extended to solve moving boundary problems on moving grids. Particularly, the unsteady flows through oscillating cascades are our major interests. The main idea of the CGKS is to discretize the macroscopic equations by the finite volume method while the fluxes at the cell interface are evaluated by locally reconstructing the solution of the continuous Boltzmann Bhatnagar–Gross–Krook equation. The present solver is based on the fact that the modified Boltzmann equation, which is expressed in a moving frame of reference, can recover the corresponding macroscopic equations with Chapman–Enskog expansion analysis. Different from the original Maxwellian function‐based gas‐kinetic scheme, in improving the computational efficiency, a simple circular function is used to describe the equilibrium state of distribution function. Considering that the concerned cascade oscillating problems belong to cases that the motion of surface boundary is known a priori, the dynamic mesh method is suitable and is adopted in the present work. In achieving the mesh deformation with high quality and efficiency, a hybrid dynamic mesh method named radial basic functions‐transfinite interpolation is presented and applied for cascade geometries. For validation, several numerical test cases involving a wide range are investigated. Numerical results show that the developed CGKS on moving grids is well applied for cascade oscillating flows. And for some cases where nonlinear effects are strong, the solution accuracy could be effectively improved by using the present method. Copyright © 2017 John Wiley & Sons, Ltd.
Feature Selection With Partial Autoencoding for Zero-Sample Fault Diagnosis

Fault diagnosis is still a challenging task especially for unseen faults, which could happen in the systems. Zero-sample fault diagnosis alleviates this issue by utilizing information from seen faults and attributes defined by domain knowledge. However, existing methods suffer from irrelevant features in the original space while existing supervised feature selection methods yield unsatisfactory performance due to discrepancy caused by domain difference. In this article, we propose a novel feature selection method for zero-sample fault diagnosis, called concrete partial autoencoder. The concrete partial autoencoder selects features beneficial for both seen and unseen faults through striking a balance between classification accuracy and reconstruction errors of selected features. The concrete partial autoencoder utilizes categorical reparameterization to efficiently solve the feature selection problem. The evaluation results on the Tennessee Eastman Process show that the proposed method improves classification accuracy and robustness against irrelevant features at zero-sample fault diagnosis.
A Cross-Sectional Study on the Epidemiology of Newly Diagnosed Breast Cancer Patients Attending Tertiary Care Hospitals in a Tribal Preponderant State of India: Regression Analysis

Introduction: Breast cancer (BC) is globally prevalent and the leading cause of death due to cancer in females. Due to changes in risk factor profiles, improved cancer registration, and cancer detection, its incidence and death rates have risen over the past three decades. Both modifiable and immutable risk factors for BC make up a sizable portion of the total risk factors. Methodology: This was a hospital-based cross-sectional study carried out in the Department of Surgery, Rajendra Institute of Medical Sciences (RIMS), Ranchi. Consecutive sampling was done with a complete enumeration of all newly diagnosed cases of breast cancer >15 years old. Those who consented to participate and those who were extremely ill, deaf, or dumb were excluded from the study. Results: A total of 88 patients were included. Maximum patients diagnosed with breast cancer belonged to the age group of 40-50 years (37.5%), Hindu by religion (76.1%), non-tribal (80.68%), illiterate (89.8%), married (98.9%), housewives (92%), and of class IV socio-economic status (SES) (65.9%). Conclusion: Regular training of Sahiya (the local name of Accredited Social Health Activist (ASHA) in Jharkhand), empowerment of screening clinics for cancer, and upgraded diagnostic facilities for timely referral should be stressed upon.
Do investors value board ethnic diversity? A Canadian study

The purpose of this study is to examine whether investors take the ethnic diversity of boards of directors into account. Based on a sample of 563 Canadian firms listed on the Toronto Stock Exchange (TSX) for fiscal years 2019 to 2021 inclusively, our results suggest that investors positively perceive the nomination of a greater number of visible minority board members. However, the study findings also show that the impact of ethnicity on investors’ perception is nearly 50 percent less than the impact of gender diversity. The study conducted in the Canadian context corroborates the results observed in some previous work by confirming the positive impact that gender and ethnic diversity can have on business performance.
Quantity Processing in Object Counting Task Based on Event-Related Potentials

: In the preliminary event-dependent potentials study, our team found that the neural mechanism of Chinese singular and plural picture naming is different, and explained that the differences might lie in the different numbers of quantitative processing. However, previous studies have lacked separate neural processing of objects in singular-plural pictures. This study intends to explore the neural differences in quantity processing in singular and plural pictures by using an object counting task and combining Event-related potential (ERP). It is expected to prove that the neural differences of naming Chinese single and plural pictures found in our previous ERP research are neural processing differences of different quantities, further demonstrating that the quantity processing in Chinese singular and plural picture naming is automatic. The experimental results showed no significant differences in object counting accuracy (P=0.139) and reaction time (P=0.231) between the singular and plural groups. However, there was a noticeable difference in ERPs between the two groups (P<0.05) and statistical analysis showed that the P1 effect of the parieto-occipital lobe was greater in plural pictures than in singular pictures (140-180ms) and the P2 effect of the parieto-occipital lobe was more significant in singular pictures than in plural pictures (200-320ms). There are differences in the quantity processing of healthy adults in object counting tasks. These differences are similar to the neural differences in Chinese singular-plural picture naming, indicating that the quantity is automatically processed in this process.
THE CAVALIERI ESTIMATOR WITH UNEQUAL SECTION SPACING REVISITED

The Cavalieri method allows to estimate the volume of a compact object from area measurements in equidistant parallel planar sections. However, the spacing and thickness of sections can be quite irregular in applications. Recent publications have thus focused on the effect of random variability in section spacing, showing that the classical Cavalieri estimator is still unbiased when the stack of parallel planes is stationary, but that the existing variance approximations must be adjusted. The present paper considers the special situation, where the distances between consecutive section planes can be measured and thus where Cavalieri’s estimator can be replaced by a quadrature rule with randomized sampling points. We show that, under mild conditions, the trapezoid rule and Simpson’s rule lead to unbiased volume estimators and give simulation results that indicate that a considerable variance reduction compared to the generalized Cavalieri estimator can be achieved.
Pengaruh Struktur Modal, Kinerja Keuangan dan Ukuran Perusahaan Terhadap Nilai Perusahaan

This study aims to determine the magnitude of the effect of Capital Structure, Financial Performance and Firm Size on firm value (study on manufacturing companies listed on the Indonesia Stock Exchange for the period (2015-2019). The results of this study indicate that the capital structure variable has a negative and insignificant effect on firm value, financial performance has a positive and significant effect, while firm size has a negative and significant effect.