Miracle-dz/UniFAR-FTUs huggingface dataset:
Design, Analysis, and Prototyping of an Axial-Flux Permanent Magnet Motor Based on Genetic Algorithm and Finite-Element Analysis

This paper presents an axial-flux permanent magnet motor optimized by the genetic algorithm (GA)-based sizing equation and the finite-element analysis (FEA). The designed slotted TORUS motor produces sinusoidal back-EMF waveform, maximum power density, and reduced cogging torque. The GA obtained the dimensions of motors with different numbers of slots and the highest possible power density. Electromagnetic field analysis of the candidate motors obtained from GA with various dimensions is subjected through FEA to obtain the motors' characteristics. Based on the GA and FEA results, a candidate motor design is introduced and subjected to FEA for reoptimization and finalization of the motor design. Techniques like modifying winding configuration and permanent magnet skewing are investigated to attain the most sinusoidal back-EMF waveform and reduced cogging torque. FEA and GA simulation results are compared and agreed well to the flux density in various areas of the designed motor at no-load condition. The final designed motor (1 kW, 50 Hz, four poles) is fabricated and tested. Experimental results agree with those of the simulation, both satisfying the desired technical specifications.
Research Paper: Can Cognitive Biases during Consumer Health Information Searches Be Reduced to Improve Decision Making?

OBJECTIVE To test whether the anchoring and order cognitive biases experienced during search by consumers using information retrieval systems can be corrected to improve the accuracy of, and confidence in, answers to health-related questions. DESIGN A prospective study was conducted on 227 undergraduate students who used an online search engine developed by the authors to find health information and then answer six randomly assigned consumer health questions. The search engine was fitted with a baseline user interface and two modified interfaces specifically designed to debias anchoring or order effect. Each subject used all three user interfaces, answering two questions with each. MEASUREMENTS Frequencies of correct answers pre- and post- search and confidence in answers were collected. Time taken to search and then answer a question, the number of searches conducted and the number of links accessed in a search session were also recorded. User preferences for each interface were measured. Chi-square analyses tested for the presence of biases with each user interface. The Kolmogorov-Smirnov test checked for equality of distribution of the evidence analyzed for each user interface. The test for difference between proportions and the Wilcoxon signed ranks test were used when comparing interfaces. RESULTS Anchoring and order effects were present amongst subjects using the baseline search interface (anchoring: p < 0.001; order: p = 0.026). With use of the order debiasing interface, the initial order effect was no longer present (p = 0.34) but there was no significant improvement in decision accuracy (p = 0.23). While the anchoring effect persisted when using the anchor debiasing interface (p < 0.001), its use was associated with a 10.3% increase in subjects who had answered incorrectly pre-search, answering correctly post-search (p = 0.10). Subjects using either debiasing user interface conducted fewer searches and accessed more documents compared to baseline (p < 0.001). In addition, the majority of subjects preferred using a debiasing interface over baseline. CONCLUSION This study provides evidence that (i) debiasing strategies can be integrated into the user interface of a search engine; (ii) information interpretation behaviors can be to some extent debiased; and that (iii) attempts to debias information searching by consumers can influence their ability to answer health-related questions accurately, their confidence in these answers, as well as the strategies used to conduct searches and retrieve information.
COMPUTATIONAL ANALYSIS OF THE CONVERSATIONAL DYNAMICS OF THE UNITED STATES SUPREME COURT

Title of Thesis: COMPUTATIONAL ANALYSIS OF THE CONVERSATIONAL DYNAMICS OF THE UNITED STATES SUPREME COURT Timothy W. Hawes, Master of Arts, 2009 Thesis directed by: Professor Jimmy Lin The iSchool Professor Philip Resnik Department of Linguistics The decisions of the United States Supreme Court have far-reaching implications in American life. Using transcripts of Supreme Court oral arguments this work looks at the conversational dynamics of Supreme Court justices and links their conversational interaction with the decisions of the Court and individual justices. While several studies have looked at the relationship between oral arguments and case variables, to our knowledge, none have looked at the relationship between conversational dynamics and case outcomes. Working from this view, we show that the conversation of Supreme Court justices is both predictable and predictive. We aim to show that conversation during Supreme Court cases is patterned, this patterned conversation is associated with case outcomes, and that this association can be used to make predictions about case outcomes. We present three sets of experiments to accomplish this. The first examines the order of speakers during oral arguments as a patterned sequence, showing that cohesive elements in the discourse, along with references to individuals, provide significant improvements over our “bag-of-words” baseline in identifying speakers in sequence within a transcript. The second graphically examines the association between speaker turn-taking and case outcomes. The results presented with this experiment point to interesting and complex relationships between conversational interaction and case variables, such as justices’ votes. The third experiment shows that this relationship can be used in the prediction of case outcomes with accuracy ranging from 62.5% to 76.8% for varying conditions. Finally, we offer recommendations for improved tools for legal researchers interested in the relationship between conversation during oral arguments and case outcomes, and suggestions for how these tools may be applied to more general
The Effect of Graphic Organizers on Subjective and Objective Comprehension of a Health Education Text

This study examined the effect of graphic organizers on the comprehension of a health education brochure text and compared subjective with objective comprehension measures. Graphic organizers are graphical depictions of relations among concepts in a text. Participants read a brochure text about asthma with and without these organizers, and subjective and objective text comprehension was measured. It was found that graphic organizers had effects on four levels of objective comprehension as indicated by open comprehension questions. However, on the subjective comprehension measure using Likert-type scales, the groups with and without graphic organizers did not differ from each other. It is concluded that health education texts could benefit from relatively simple techniques to increase comprehension. Furthermore, in developing health education materials, comprehension should be measured objectively.
Ultra-Precision Measurement and Control of Angle Motion in Piezo-Based Platforms Using Strain Gauge Sensors and a Robust Composite Controller

The measurement and control strategy of a piezo-based platform by using strain gauge sensors (SGS) and a robust composite controller is investigated in this paper. First, the experimental setup is constructed by using a piezo-based platform, SGS sensors, an AD5435 platform and two voltage amplifiers. Then, the measurement strategy to measure the tip/tilt angles accurately in the order of sub-μrad is presented. A comprehensive composite control strategy design to enhance the tracking accuracy with a novel driving principle is also proposed. Finally, an experiment is presented to validate the measurement and control strategy. The experimental results demonstrate that the proposed measurement and control strategy provides accurate angle motion with a root mean square (RMS) error of 0.21 μrad, which is approximately equal to the noise level.
Leaching Kinetics of Zinc from Metal Oxide Varistors (MOVs) with Sulfuric Acid

The leaching kinetics of zinc from zinc oxide-based metal oxide varistors (MOVs) was investigated in H2SO4 at atmospheric pressure. Kinetics experiments were carried out at various agitation speeds, particle sizes, initial H2SO4 concentrations, and reaction temperatures. It was determined that the leaching rate of zinc was independent of agitation speed above 300 rpm and also independent of particle size below 105 μm, whereas it dramatically increased with an increasing H2SO4 concentration. Except for when the H2SO4 concentration was varied, the m-values were almost constant at varying agitation speeds (m-values: 0.554–0.579), particle sizes (m-values: 0.507–0.560) and reaction temperature (m-values: 0.530–0.560) conditions. All of the m-values in these experiments were found to be below 0.580. Therefore, it is proposed that the extraction of zinc is a diffusion-controlled reaction. The leaching kinetics followed the D3 kinetic equation with a rate-controlling diffusion step through the ash layers, and the corresponding apparent activation energy was calculated as 20.7 kJ/mol in the temperature range of 313 K to 353 K.
Changes in Cytoskeletal Protein Composition Indicative of an Epithelial-Mesenchymal Transition in Human Micrometastatic and Primary Breast Carcinoma Cells

Purpose: The bone marrow is a frequent and clinically important homing site for early disseminated breast cancer cells. Here, we aimed to profile the protein expression of these cells using unique cell line models and to evaluate the prognostic relevance of candidate gene expression for breast cancer patients. Experimental Design: To identify expression patterns characteristic for micrometastatic cells, three different cell lines (BC-K1, BC-P1, and BC-S1) established by SV40 immortalization of cancer cells isolated from the bone marrow of patients with breast cancer were compared with MCF-7 breast cancer and SV40 immortalized normal breast ductal cells (MTSV-1.7) using two-dimensional gel electrophoresis followed by MALDI-ToF analysis. The prognostic significance and clinicopathologic associations of selected differentially expressed proteins were evaluated using high-density breast cancer tissue microarrays. Results: In contrast to MCF-7 and MTSV1-7 reference cell lines, all micrometastatic cancer cell lines displayed loss of epithelial cytokeratins (CK8, CK18, and CK19) and ectopic expression of vimentin commonly present in mesenchymal cells. Immunohistochemical analysis of 2,517 samples of breast cancer further showed that loss of cytokeratin and ectopic vimentin expression were significantly associated with a higher tumor grade, high mitotic index, and negative estrogen/progesterone-receptor status. Although in univariate analyses significantly related to clinical outcome, none of the cytokeratins analyzed were independently associated with either overall or cancer-specific survival. Conclusions: Micrometastatic cancer cells exhibit marked changes in the expression pattern of cytoskeletal proteins indicative of an epithelial-mesenchymal transition. This phenotypical change could already be detected in primary tumors and is associated with the aggressive behavior of breast cancer cells in vivo.
Linear transformations of Wiener process that born Wiener process, Brownian bridge or Ornstein-Uhlenbeck process

The paper presents a discussion on linear transformations of a Wiener process. The considered processes are collections of stochastic integrals of non-random functions w.r. t. Wiener process. We are interested in conditions under which the transformed process is a Wiener process, a Brownian bridge or an Ornstein-Uhlenbeck process.
Generation of a new IDS test dataset: Time to retire the KDD collection

Intrusion detection systems are generally tested using datasets compiled at the end of last century, justified by the need for publicly available test data and the lack of any other alternative datasets. Prominent amongst this legacy group is the KDD project. Whilst a seminal contribution at the time of compilation, these datasets no longer represent relevant architecture or contemporary attack protocols, and are beset by data corruptions and inconsistencies. Hence, testing of new IDS approaches against these datasets does not provide an effective performance metric, and contributes to erroneous efficacy claims. This paper introduces a new publicly available dataset which is representative of modern attack structure and methodology. The new dataset is contrasted with the legacy datasets, and the performance difference of commonly used intrusion detection algorithms is highlighted.
The Economics of Money, Banking and Finance

Assuming a basic grounding in economic principles and a familiarity with the IS/LM model, this book is ideally suited for use on a range of one and two semester courses in financial economics and money banking and finance courses on economics and business finance degrees. Also suitable for MA level.This book is specifically written to meet the needs of students who requires a rigorous grounding in financial economics theory, combined with institutional and policy discussion relevant to the 'real world' of economics of contemporary Europe. This new edition has greater emphasis on international issues affecting financial markets whilst retaining its strong unifying theoretical perspective.and a unique comparative survey of financial systems in the UK, Germany, France, Italy and the USA. Thoroughly updated to incorporate recent developments in this discipline, this edition promises to be the best yet.
PSYCHOLOGICAL BENEFITS OF EXERCISE AND PHYSICAL ACTIVITY IN OLDER ADULTS

While regular physical activity has been shown to positively impact health and physical functioning across all age groups an active lifestyle may in particular have beneficial effects in advanced age. The objective of this article is to provide a brief overview of a contemporary research on the benefits of physical activity for psychological health and quality of life in the elderly. Older adults are more vulnerable than other age groups regarding mental health problems, such as depression and anxiety. Many cross-sectional and experimental studies discussed in the article confirm the importance of a physically active lifestyle for preventing or reducing mental health problems and improving the quality of life among elderly people.
A Spectral Graphical Model Approach for Learning Brain Connectivity Network of Children's Narrative Comprehension

Narrative comprehension is a fundamental cognitive skill that involves the coordination of different functional brain regions. We develop a spectral graphical model with model averaging to study the connectivity networks underlying these brain regions using fMRI data collected from a story comprehension task. Based on the spectral density matrices in the frequency domain, this model captures the temporal dependency of the entire fMRI time series between brain regions. A Bayesian model averaging procedure is then applied to select the best directional links that constitute the brain network. Using this model, brain networks of three distinct age groups are constructed to assess the dynamic change of network connectivity with respect to age.
Enterprise Architecture as a Contributor to Sustainability Objectives

Sustainability goals as reflected in an organization’s stated mission, should be supported by the Information Technology strategies and functions of the organization. Enterprise Architecture (EA) processes are intended to identify and create alignment between the organisational mission and information technology enabled activities. This exploratory research investigates the use of Enterprise Architecture at two large natural resource extraction organisations through a sustainability lens to reveal the IT contribution to the sustainability aspects of the organisational mission.
A case study on the investigation of solar regime in Van, Turkey

The electricity generation from solar energy is one of the crucial ways for sustainable growth and it is exploited through solar photovoltaic or solar thermal routes for different purposes. However, solar characteristics of a region play a critical role in planning and designing solar power applications. At this point, the solar radiation data is an essential parameter for a proper solar energy analysis. In this context, the solar regime of Van, Turkey is analyzed broadly in this paper. As a distinct approach, not only the solar radiation parameter but also insolation period and air temperature parameters are considered in the conducted analysis here. This meteorological dataset contains hourly, daily and monthly measurements during a six-month period. Many useful visualizations and reasonable assessments are made for the solar characteristics of Van, Turkey.
Academic work in the twenty-first century: changing roles and policies

The purpose of this paper is to consider the implications of the changing higher education landscape for the policies and practices governing the work of staff within universities. It is set out in four parts. The first outlines the nature of the changes affecting higher education, particularly those changes that impact on academic work. The second examines some of the implications. One of these aspects, the relationship between teaching and research, is then considered in more detail. Finally the paper provides some possible policy responses and offers some speculations on how academic work and staffing practices might evolve in the future.
Evidence for multiple sources of invasion and intraspecific hybridization in Brachypodium sylvaticum (Hudson) Beauv. in North America

We compared the levels and distribution of genetic diversity in Eurasian and North American populations of Brachypodium sylvaticum (Huds.) Beauv. (false brome), a newly invasive perennial bunchgrass in western North America. Our goals were to identify source regions for invasive populations, determine the number of independent invasion events, and assess the possibility that postinvasion bottlenecks and hybridization have affected patterns of genetic diversity in the invaded range. We tested the hypothesis that this Eurasian grass was accidentally introduced into two areas in Oregon and one site in California by examining nuclear microsatellites and chloroplast haplotype variation in 23 introduced and 25 native populations. In the invaded range, there was significantly lower allelic richness (RS), observed heterozygosity (HO) and within‐population gene diversity (HS), although a formal test failed to detect a significant genetic bottleneck. Most of the genetic variation existed among populations in the native range but within populations in the invaded range. All of the allelic variation in the invaded range could be explained based on alleles found in western European populations. The distribution of identified genetic clusters in the North American populations and the unique alleles associated with them is consistent with two historical introductions in Oregon and a separate introduction to California. Further analyses of population structure indicate that intraspecific hybridization among genotypes from geographically distinct regions of western Europe occurred following colonization in Oregon. The California populations, however, are more likely to be derived from one or perhaps several genetically similar regions in the native range. The emergence and spread of novel recombinant genotypes may be facilitating the rapid spread of this invasive species in Oregon.
A solution to the continuous and discrete-time linear quadratic optimal problems

The paper establishes a non-variational procedure in order to obtain the solution to an optimal control problem. The optimal control refers to a quadratic criterion with finite final time, regarding a time-variant linear system, for continuous and discrete time cases. The proposed solution is more convenient for implementation by comparison with the classical ones. The indicated optimal controller is advantageous especially in the time-invariant case. New solutions to Riccati differential / difference equations are also presented.
Taxifolin Enhances Andrographolide-Induced Mitotic Arrest and Apoptosis in Human Prostate Cancer Cells via Spindle Assembly Checkpoint Activation

Andrographolide (Andro) suppresses proliferation and triggers apoptosis in many types of cancer cells. Taxifolin (Taxi) has been proposed to prevent cancer development similar to other dietary flavonoids. In the present study, the cytotoxic and apoptotic effects of the addition of Andro alone and Andro and Taxi together on human prostate carcinoma DU145 cells were assessed. Andro inhibited prostate cancer cell proliferation by mitotic arrest and activation of the intrinsic apoptotic pathway. Although the effect of Taxi alone on DU145 cell proliferation was not significant, the combined use of Taxi with Andro significantly potentiated the anti-proliferative effect of increased mitotic arrest and apoptosis by enhancing the cleavage of poly(ADP-ribose) polymerase, and caspases-7 and -9. Andro together with Taxi enhanced microtubule polymerization in vitro, and they induced the formation of twisted and elongated spindles in the cancer cells, thus leading to mitotic arrest. In addition, we showed that depletion of MAD2, a component in the spindle assembly checkpoint (SAC), alleviated the mitotic block induced by the two compounds, suggesting that they trigger mitotic arrest by SAC activation. This study suggests that the anti-cancer activity of Andro can be significantly enhanced in combination with Taxi by disrupting microtubule dynamics and activating the SAC.
Expected risk premium dynamics across the business cycle and the stock market ’ s response to macroeconomic news

We analyze the impact of macroeconomic announcements on expected risk-premia, earnings growth and risk-free rates, i.e., the main drivers of stock valuations. While during recessions expected risk-premia are higher on average, we find that they decline when surprisingly good economic news are released in a downturn. In contrast, during expansions risk-premia are lower, but increase after good news. No such asymmetries are observed for risk free rates and expected earnings: both rise after good news, irrespective of the state of economy. Hence the stock market’s asymmetric reaction to economic news is explained exclusively by the asymmetric risk-premia response.