Miracle-dz/UniFAR-FTUs huggingface dataset:
Final Report : Koopman Mode Decomposition Methods in Dynamic Stall : Reduced Order Modeling and Control Report

Number of Papers published in peer-reviewed journals: Final Report: Koopman Mode Decomposition Methods in Dynamic Stall: Reduced Order Modeling and Control Report Title During dynamic stall, large peaks in lift, pitching moment and drag appear, and these cause an undesirable increase in the mean drag. Dynamic stall can also lead to potentially fatal structural loads due to strong vibrations of flexible aerodynamic surfaces. Despite extensive analytical, numerical, and experimental efforts to study dynamic stall, progress is needed for the full understanding and prediction of the relevant complex fluid dynamic mechanisms. We propose to do the following: 1. Continue the research on cylinder in an oscillating incoming flow that is proving to be a useful "model system". We will include effects of oscillation of direction of incoming velocity vector (and not just its magnitude) to emulate effects of separation at the leading edge. 2. Explore an analytical direction by extending the Ginzburg-Landau equation approach to compute Koopman Modes for flow around the cylinder with oscillating incoming velocity and compare with numerical approach. This will be done in collaboration with ARL. 3. Explore Koopman Mode Decomposition in 2-D and 3-D data of plunging airfoil provided by Dr. Miguel Visbal of AFRL. 4. Provide a Reduced Order Model (ROM) of Dynamic Stall using skew-projection methods in conjunction with the Koopman Mode Decomposition. (a) Papers published in peer-reviewed journals (N/A for none) Enter List of papers submitted or published that acknowledge ARO support from the start of the project to the date of this printing. List the papers, including journal references, in the following categories: (b) Papers published in non-peer-reviewed journals (N/A for none) Received Paper
A Dual-Mode Nested Rectifier for Ambient Wireless Powering in CMOS Technology

This article proposes a dual-mode (DM) nested radio frequency (RF) rectifier for ambient wireless powering. The proposed architecture utilizes a DM nested feedback circuit to enhance the conductivity of the rectifier at low power while reducing the reverse leakage current at high power by generating supply voltages at the gates of the pMOS rectifying transistors. The proposed rectifier is fabricated in a 65-nm CMOS technology and occupies an area of <inline-formula> <tex-math notation="LaTeX">$6480~\mu \text{m}^{2}$ </tex-math></inline-formula>. The measurement results show a peak power conversion efficiency of 86%, 10.1-dB dynamic range, and −19.2-dBm 1-V sensitivity when operating with a 100-<inline-formula> <tex-math notation="LaTeX">$\text{k}\Omega $ </tex-math></inline-formula> load at the industrial, scientific, and medical band 433 MHz. Moreover, the enhanced low-power performance is achieved by reducing the effective threshold voltage of the rectifier by about 37%, compared with a low-threshold transistor in the 65-nm technology. This reduction in the threshold voltage allows the rectifier to operate with efficiency exceeding 10% for input power ≥ −40 dBm.
GAS-SOLID FLOW THROUGH EJECTOR

Single-phase (air-air) and two-phase (air-solid) flows throngh ejector are numerically and experimentally studied in this paper. The numerical model is performed using continuity equation for the gas phase and the solid phase separately, and the momentum equation for a homogenous mixture of gas-solid flow. The model takes into account the gas and solid friction with the wall and the drag force exerted on a particle by the gas. Three different geometries of the ejector are studied numerically and experimentally. The effects of the mixing chamber and tail pipeldiffuser, geometries on the ejector performance are studied. In addition, the effects of fluid motive pressure and the solid particle mass flow rate on the static pressure distribution are also studied. Comparisons are carried out between theoretical results and the present and published experimental data for the axial wall static pressure distribution. These comparisons show good agreements. The obtained results show that, geometry of convergent-constant-divergent of the mixing duct gives high vacuum pressure and preferable performance ofthe ejector.
The efficacy of the Fresno County Behavioral Health Court

THE EFFICACY OF THE FRESNO COUNTY BEHAVIORAL HEALTH COURT In response to the high recidivism rate associated with mentally ill offenders, many jurisdictions have developed specialized behavioral health courts. The following research examined the efficacy of the Fresno County Superior Court’s Behavioral Health Court (FCBHC) by comparing total number of arrests before and during participation in the FCBHC. Data from Fresno County Department of Probation files and Fresno County Superior Court records were used. During the baseline timeframe 6 out of 17 participants were dismissed from the behavioral health court. The results of this study showed a slight decrease in the number of total arrests among those that participated in the FCBHC. Future policy implications and suggestions for further research are discussed. John Steven Tangye August 2011 THE EFFICACY OF THE FRESNO COUNTY BEHAVIORAL HEALTH COURT by John Steven Tangye A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Criminology in the College of Social Sciences California State University, Fresno August 2011 APPROVED For the Department of Criminology: We, the undersigned, certify that the thesis of the following student meets the required standards of scholarship, format, and style of the university and the student's graduate degree program for the awarding of the master's degree. John Steven Tangye Thesis Author Peter English (Chair) Criminology Emma Hughes Criminology Yoshiko Takahashi Criminology For the University Graduate Committee: Dean, Division of Graduate Studies AUTHORIZATION FOR REPRODUCTION OF MASTER’S THESIS X I grant permission for the reproduction of this thesis in part or in its entirety without further authorization from me, on the condition that the person or agency requesting reproduction absorbs the cost and provides proper acknowledgment of authorship. Permission to reproduce this thesis in part or in its entirety must be obtained from me. Signature of thesis author: ACKNOWLEDGMENTS I would like to thank Dr. Peter English, Dr. Emma Hughes, and Dr. Yoshiko Takahashi for their unending encouragement, patience, and guidance. Without your support, this project would not have been possible. I would also like to thank my family for their belief and for allowing me the time and freedom to focus on this work. I would like to thank Dr. Barbara Owen who believed in me before I believed in myself. In addition, I would like to acknowledge the entire faculty and staff in the Department of Criminology at California State University, Fresno for always being there with guidance and encouragement. And especially to Professor Judy Tucker, who has become my biggest fan and most importantly my friend. And to all my fellow classmates who walked through this journey with methank you all.
Change Extraction in Video Using Image Processing

In our project we are going to implement an effective scene change detection method utilizing a solo calculation and the procedure of item following dependent on the aftereffects of the division. By utilizing this strategy we will perform not just accurate scene change detection, but also obtain object level information of the video outlines, which is exceptionally valuable for video content ordering and examination. We will distinguish moving articles in shading picture successions which are get from web camera or any video creating gadget. A video stream is prepared at different levels by contrasting the present video outline and the past edge. We are going to utilize calculation in which we firstly separate the video into outlines. At that point we will grayscale those edges and afterward make a mass. After that we join those masses. We are goingtostorethoseimagesobtainedfromthevariousvideosintosamelocationand then we will gather the pictures of a video to make same video again by applying the concept of data mining and indexing. Then we will try to calculate the difference between the edges with the assistance of those made masses
Does the Brand Equity of a Retail Store Mediate the Relationship between Store Choice and Store Loyalty?

The retail industry is changing worldwide, especially in developing nations. This retail transformation is a result of changing lifestyles, increased disposable income, growing brand consciousness and changing consumption patterns of consumers. In the process of meeting these growing expectations of consumers, there are noteworthy initiatives adopted by retail organizations. Brand equity of a retail store is seen as a major factor influencing buying decisions and repurchases intent of consumers’ world over. The present study has analyzed the consumers’ store choice decisions and its influence on consumer loyalty, with brand equity of retail store as a mediator. The findings of the study have established a positive link among factors influencing store choice, the brand equity of a retail store and loyalty towards the retail store. The study further has proposed and validated a model determining the mediating relationship of brand equity of a retail store with store choice decision and store loyalty.
The Quad-Spatula Gripper: A Novel Soft-Rigid Gripper for Food Handling

Robotic food handling is a complicated task to perform when the ingredients that are handled are delicate in nature. It is important to design end-effectors that can be versatile and reliable while limiting damage on the manipulated items. We present in this paper a novel soft-rigid gripper that exploits the combination of specialised fingertips with a passively compliant structure. The proposed device can gently grasp objects of different shape by scraping with four spatula-shaped components that interlock and form a stable plate enclosed by fingers. This solution allows both the forces applied directly onto an object during handling and the precision needed to identify object position for grasp planning to be reduced, while increasing the grasping success rate compared to a classical gripper. We have tested a prototype in a real experimental setup using real ingredients. The encouraging results suggest that this approach to ingredient manipulation may be especially useful when delicate objects need to be handled in the context of an automated food production line.
A Machine Learning Approach to Predicting the Employability of a Graduate

For many credit-offering institutions, such as banks and retailers, credit scores play an important role in the decision-making process of credit applications. It becomes difficult to source the traditional information required to calculate these scores for applicants that do not have a credit history, such as recently graduated students. Thus, alternative credit scoring models are sought after to generate a score for these applicants. The aim for the dissertation is to build a machine learning classification model that can predict a students likelihood to become employed, based on their student data (for example, their GPA, degree/s held etc). The resulting model should be a feature that these institutions should use in their decision to approve a credit application from a recently graduated student.
Antioxidant and Glucose Lowering Effects of Hydroethanolic Extract of Baillonella toxisperma Pulp

Hyperglycemia and oxidative stress play an important role in the pathogenesis of diabetes. Their management is a key point in the prevention and treatment of this disease which is a potential cause of mortality in the world. We evaluated the antioxidant and glucose lowering effects of hydroethanolic extract of Baillonella toxisperma pulp. The total polyphenol and flavonoid contents were determined and the antioxidant activity was evaluated by 3 mechanisms: scavenging by DPPH•, ABTS• and NO• radicals; reducing property by MoO42+ and Fe3+ reduction; metal chelation by Cu2+ and Fe2+. Glucose adsorption capacity was evaluated followed by the capacity to promote insulino-sensitivity through glucose uptake by yeast and muscle cell assays. The hydroethanolic extract of B. toxisperma pulp possessed high total polyphenols and flavonoids; 459.55 µg Equivalent Gallic Acid/mg and 252.15 µg of Equivalent Catechin /mg respectively. This showed their ability to scavenge DPPH•, ABTS• and NO• radicals with SC50 of 3.49, 3.24 and 4.28 mg/ml respectively. The extract also reduced MoO42+ and Fe3+ and chelated Cu2+ through inhibiting their capacity to induce hemolysis with the IC50 of 3.49 mg/ml. The extract showed a high glucose binding capacity with a glucose binding percentage rise of 60 %. It increased yeast cell absorption of glucose with the increasing percentage varying from 42.97 to 56.62 %. In the muscle cells, after 30 min of administration of the extract, we also noted an increased glucose absorption with the percentage glucose reducing to 22 %. We demonstrated that hydroethanolic extract of B. toxisperma pulp possess antiradical, reducing, metal chelating, glucose binding and insulino-sensitivity promoting properties. These mechanisms imply that B. toxisperma pulp is both a good antioxidant and an antihyperglycemiant, thus a potential agent in the management of diabetes and its complications.
Laboratory Biomarkers, Cerebral Blood Flow Velocity, and Intellectual Function in Children with Sickle Cell Disease

Objective The aim of this preliminary study was to describe putative markers of cerebral vasculopathy and investigate relationships among these markers, demographic factors, and cognitive function in a young sample of neurologically normal children with SCD. Study Design. Thirty-eight children with homozygous HbS, aged 4–11 years, were included. Estimated IQ and markers of coagulation and endothelial activation, hemolysis, and inflammation, as well as transcranial Doppler velocities, hydroxyurea use, and demographic information were obtained. Results Using multiple regression analyses, there were few significant independent associations between biomarkers or blood flow velocity and estimated IQ. Lactic dehydrogenase (LDH) independently predicted cognitive function, but blood flow velocity did not mediate this relationship. Maternal education, patient age, and hydroxyurea status were independent predictors of cognition. Given the small sample size, a LASSO statistical model was employed to further identify potential predictors of IQ, which identified LDH, absolute neutrophil count (ANC), platelet count, thrombin-antithrombin (TAT), tissue factor (TF), maternal education, age, and hydroxyurea as potential predictors of cognition. Conclusions In addition to effects of age and maternal education, some vasculopathic markers are associated with cognitive function in young children with SCD, and these relationships do not appear to be mediated through blood flow velocity. Although the lack of association among certain variables was not as predicted, results provide support for further research regarding the influence of vasculopathic markers on cognitive function in children with SCD without stroke, especially intravascular hemolysis and coagulation/endothelial activation, and a possible role for HU treatment in preventing or reversing cognitive decline.
Vision-Based Location-Awareness in Augmented Reality Applications

We present an integral HCI approach that incorporates eye-gaze for location-awareness in real-time. A new augmented reality (AR) system for knowledge-intensive location-based work combines multiple on-body input and output devices: a speech-based dialogue system, a head-mounted AR display (HMD), and a head-mounted eye-tracker. The interaction devices have been selected to augment and improve the navigation on a hospital’s premises (outdoors and indoors, ﬁgure 1) which shows its potential. We focus on the eye-tracker interaction which provides cues for location-awareness.
Extreme parallels: a corpus-driven analysis of ISIS and far-right discourse

ABSTRACT In this study, we examine key psychological dimensions in the manifestos authored by the perpetrators of the Christchurch and Utøya massacres, the right-wing extremists Brenton Tarrant and Anders Breivik, and the ISIS propaganda magazine Rumiyah. All texts were authored and disseminated virtually with the purpose of attracting or consolidating support, and justifying violent, discriminatory actions. While right-wing supremacist and extremist Islamist discourses are ostensibly ideologically opposed, previous research has posited the existence of ideational and emotive commonalities. We approach this from a corpus-linguistic perspective, and employ the software LIWC2015 and Wmatrix to explore the dominant psychological dimensions, semantic categories and keywords in these texts. We identify elements that contribute to the construction of a narrative of hate, peril and urgency, and discuss differences in the imagery used to construct these meanings and to appeal to different audiences. Whilst our analysis supports the existence of commonalities in ideological content and discursive strategies, our results identify differences in the target of hate in right-wing supremacist discourse and we differentiate between primarily Islamophobic and racist motives. Finally, we also discuss the limitations inherent in employing these software tools to analyse discourse in the Web 2.0 era.
Does Smart & Powerful CEO Contribute to the Performance of Technology Companies?

Innovative companies have become one of the major drivers of economy worldwide. According to various surveys, nearly 70% of the world's most innovative companies in 2019 are US firms. However, academic studies have tended to focus on the influence of the top management team and the board of director’s on the firm performance, or the relationship between innovative activity and the CEO`s preferences. However, this overlooks the idea that the CEOs themselves can exert a significant influence on the performance of innovative companies. As such, we aim in this research paper to show which CEO characteristics could lead to a higher firm value. <br><br>This research uses the generalised least squares model on a sample of 12,565 firm-year observations during the period 2004-2015. We used data for three innovative industries: (i) pharmaceuticals, biotechnology &amp; life sciences, (ii) software and services, and (iii) technology hardware and equipment industries. Additionally, we hand-collected data from the CVs stored in the CIQ database. Finally, we provide examples to prove the validity of our tests. <br><br>Our results indicate that educational background, tenure, and duality play crucial roles in explaining firm value. Our findings indicate that a CEO characteristics play crucial roles in explaining technology firm value and performance. We demonstrated that the founding CEO as well as a CEO with better education contributes more to firm performance. We found that the characteristics of a CEO can mitigate conflicts between different types of investors and their influence on firm performance. More specifically, the CEO-founder was found to add greatly to the performance of Software and Pharmaceutical companies. Furthermore, CEO influence seems to mitigate the conflict of interest with independent active institutional investors in the Hardware industry. <br><br>The novelty of this paper resides in its specific answers to questions that are overlooked or taken for granted in broader studies on the same subject area. We emphasise the differences in ownership structure in high-tech and non-tech industries, and not only provide answers as to whether the vaunted ‘power’ of a chief executive is significant in increasing company value, but whether a highly educated CEO contributes more to innovations in the hi-tech sphere. The specificity of the empirical investigations concluded herein lends itself well to reference, and as such this paper provides opportunities for academics, students, professionals, and journalists in the business field to cite its conclusions in any number of media.
Structural Redundancy Assessment of Adjacent Precast Concrete Box-Beam Bridges in Service

Present approaches for assessing bridge redundancy are mainly based on nonlinear finite element (FE) analysis. Unfortunately, the real behavior of bridges in the nonlinear range is difficult to evaluate and a sound basis for the nonlinear FE analysis is not available. In addition, a nonlinear FE analysis is not feasible for practitioners to use. To tackle this problem, a new simplified approach based on linear FE analysis and field load testing is introduced in this paper to address the particular structural feature and topology of adjacent precast concrete box-beam bridges for the assessment of structural redundancy. The approach was first experimentally analyzed on a model bridge and then validated by a case study. The approach agrees well with the existing recognized method while reducing the computation complexity and improving the reliability. The analysis reveals that the level of redundancy of the bridge in the case study does not meet the recommended standard, indicating that the system factor recommended by the current bridge evaluation code for this bridge is inappropriate if considering the field condition. Further research on the redundancy level of this type of bridges is consequently recommended.
MIRAGE: Succinct Arguments for Randomized Algorithms with Applications to Universal zk-SNARKs

The last few years have witnessed increasing interest in the deployment of zero-knowledge proof systems, in particular ones with succinct proofs and efﬁcient veriﬁcation (zk-SNARKs). One of the main challenges facing the wide deployment of zk-SNARKs is the requirement of a trusted key generation phase per different computation to achieve practical proving performance. Existing zero-knowledge proof systems that do not require trusted setup or have a single trusted preprocessing phase suffer from increased proof size and/or additional veriﬁcation overhead. On the other other hand, although universal circuit generators for zk-SNARKs (that can eliminate the need for per-computation preprocessing) have been introduced in the literature, the performance of the prover remains far from practical for real-world applications. In this paper, we ﬁrst present a new zk-SNARK system that is well-suited for randomized algorithms—in particular it does not encode randomness generation within the arithmetic circuit allowing for more practical prover times. Then, we design a universal circuit that takes as input any arithmetic circuit of a bounded number of operations as well as a possible value assignment, and performs randomized checks to verify consistency. Our universal circuit is linear in the number of operations instead of quasi-linear like other universal circuits. By applying our new zk-SNARK system to our universal circuit, we build MIRAGE , a universal zk-SNARK with very succinct proofs—the proof contains just one additional element compared to the per-circuit preprocessing state-of-the-art zk-SNARK by Groth