Miracle-dz/UniFAR-FTUs huggingface dataset:
A case study of physical diagnosis for aircraft engines

This paper examines an ongoing research and development project which deals with identification, control and diagnosis in aircraft engines. Within these topics, this paper focuses on physical diagnosis, where one of the main motivations of the project is to introduce innovation and update techniques currently used in industry. Several fault diagnosis methods are considered and compared in terms of their possible application to the project. Further details are provided for the parametric statistical approach which, according to this initial study, is one approach flexible enough and with good foundations in order to achieve the desired objectives.
(2008) Emotional intelligence: New ability or eclectic traits?

Some individuals have a greater capacity than others to carry out sophisticated information processing about emotions and emotion-relevant stimuli, and to use this information as a guide to thinking and behavior. We have termed this set of abilities emotional intelligence (EI). Since the introduction of the concept, however, a schism has developed in which some researchers focus on EI as a distinct group of mental abilities, and other researchers instead study an eclectic mix of positive traits such as happiness, self-esteem, and optimism. Clarifying what emotional intelligence is and is not can help the field by better distinguishing research that is truly pertinent to emotional intelligence from what is not. Emotional intelligence – conceptualized as an ability – is an important variable both conceptually and empirically, and it shows incremental validity for predicting socially-relevant outcomes.
Improving the structural , optical and electrical properties of Al-doped ZnO thin films : Effects of post-synthesis annealing temperature

Al-doped ZnO (AZO) thin films were deposited onto g lass substrates using radio-frequency (RF) reactive magnetron sputtering and the improvem ents in their physical properties through post-synthesis thermal treatment were reported. X-r ay diffraction spectra show that the structure of films can be controlled by the anneali ng temperatures, with the best crystallinity obtained at 400 °C under a nitrogen atmosphere. The improved film quality also features better optical transmittance as indicated by UV-Vis spectral measurements. Furthermore, the sheet resistivity is found to decrease from 1.87x10 -3 to 5.63x10 Ω·cm and the carrier mobility increases from 6.47 to 13.43 cm ·V·s at the optimal annealing temperature. Our method demonstrates a simple yet effective way in c o trolling the structural, optical and electrical properties of AZO films, which is import ant for the development of highperformance transparent conductive oxide (TCO) mate rials for numerous applications.
LEARNING CONTROL STRATEGIES FOR HYBRID VEHICLES USING NEURAL NETWORKS

This bachelor thesis has the topic to examine, whether it is possible to learn a control strategy for hybrid electric vehicles using arti cial neural networks. In the course of this thesis this is examined for a basic control strategy. To achieve this goal, di erent training algorithms for arti cial neural networks are tested. We make use of the vehicle model developed for the OASys project to generate training and test data and the open source libraries FANN and Open NN for the speci cation, training and test of neural networks. We demonstrate that it is possible to learn this basic control strategy with a satisfactory precision, but not exactly. It is assumed that even better results can be achieved with a higher computational e ort.
THE DESIGN AND EMPIRICAL EVALUATION OF A CHEMICAL PROCESS VISUALIZATION TOOL TO HELP INTRODUCTORY CHEMICAL ENGINEERING STUDENTS SOLVE MATERIAL BALANCE PROBLEMS

by Pawan Agarwal, M.S. Washington State University August 2009 Chair: Christopher Hundhausen For students in introductory chemical engineering courses, material balance problems pose a formidable barrier to success. Prior studies have confirmed that students need additional help beyond class lectures to solve material balance problems. Computer software constitutes one potential source of help. While commercial software systems for solving material balance problems exist, due to their complexity, they are inappropriate for students first learning to solve material balance problems. To explore the potential for specialized educational software to help students solve material balance problems and ultimately succeed in introductory chemical engineering courses, this thesis develops and empirically evaluates ChemProV, a specialized software tool specifically designed to help introductory chemical engineering students visualize and solve material balance problems. As students work through a material balance problem using ChemProV, the tool provides scaffolding in the form of feedback messages. The messages generated by the system aim to motivate students to correct problems without giving specific solutions. An experimental evaluation compared the software against the traditional medium for solving material balance problems—pen and paper. In our quantitative analysis of the
DOM in Web Browser Visual Elements Refactored HTML Potential Component Instance Identification Identified Components Visual UI Normalization UI Component Generation class C 1 extends React

The transformation of a user interfacemockup designed by a graphic designer to web components in the final app built by a web developer is often laborious, involving manual and time consuming steps. We propose an approach to automate this aspect of web development by generating reusable web components from a mockup. Our approach employs visual analysis of the mockup, and unsupervised learning of visual cues to create reusable web components (e.g., React components). We evaluated our approach, implemented in a tool called VizMod, on five real-world web mockups, and assessed the transformations and generated components through comparison with web development experts. The results show that VizMod achieves on average 94% precision and 75% recall in terms of agreement with the developers’ assessment. Furthermore, the refactorings yielded 22% code reusability, on average.
Skilled reading in isiZulu : what can we learn from it ?

Research on reading in African languages is particularly pertinent in South Africa now, in view of the poor reading performance in many South African schools. This paper is based on a study of competent adult readers of isiZulu that analysed what its orthography (the way it is written) requires of readers. As an agglutinative language with a conjoined writing system, isiZulu carries meaning not only in separate words, but also in morphemes that cluster together, forming long complex words. Eye tracking data shows that competent readers of isiZulu move their eyes across text in saccades (shifts of the point of focus) that are short in comparison with the saccades of efficient reading of English. It also shows that readers of isiZulu fixate on points of text for longer periods than do readers of English. The study links eye movement data to information gained from a stimulated recall process, to discover strategies consciously used by competent readers of isiZulu. Some of these strategies, such as visualisation, are common to efficient readers of all languages, while others might be peculiar to agglutinating and/or tonal languages. These strategies inform suggestions for the development of effective reading skills in isiZulu. The key argument of the paper is that the orthography of isiZulu has features that require attention by teachers of reading if their learners are to benefit from the advantages that reading in their first language should bring.
Foreign Direct Investment and Economic Growth in Mauritius : Evidence from Bounds Test

Employing the newly developed auto-regressive distributed lag (ARDL) bounds approach to cointegration this paper addresses the important question of whether foreign direct investment enhances economic growth in Mauritius using time series data for the period of 1975-2001. Domestic private investment and public investment are also utilised to estimate a neoclassical production function in the long run as well as in the short run. The results indicate that foreign direct investment has a significant impact on economic growth in Mauritius . As for domestic investments, only private investment shows positive, and marginally significant, contribution to growth. JEL Classification: C22 E22 F21 F23
Research on MOMPDES algorithm of block cipher in compressed sensing

According to the design of block cipher algorithm thought the current mainstream, DES block cipher algorithm based on compressed sensing, combined with the design idea of OMP algorithm, proposed a design of the block cipher MOMP¬DES. We discussed the design of MOMPDES algorithm, the whole process, and encryption and decryption algorithms. It introduces the security of MOMPDES briefly and is simulated by the experiment, the results prove the recovery error is very small after decryption, and we can get a complete plaintext.
Approximating the Architecture of Visual Cortex in a Convolutional Network

Deep convolutional neural networks (CNNs) have certain structural, mechanistic, representational, and functional parallels with primate visual cortex and also many differences. However, perhaps some of the differences can be reconciled. This study develops a cortex-like CNN architecture, via (1) a loss function that quantifies the consistency of a CNN architecture with neural data from tract tracing, cell reconstruction, and electrophysiology studies; (2) a hyperparameter-optimization approach for reducing this loss, and (3) heuristics for organizing units into convolutional-layer grids. The optimized hyperparameters are consistent with neural data. The cortex-like architecture differs from typical CNN architectures. In particular, it has longer skip connections, larger kernels and strides, and qualitatively different connection sparsity. Importantly, layers of the cortex-like network have one-to-one correspondences with cortical neuron populations. This should allow unambiguous comparison of model and brain representations in the future and, consequently, more precise measurement of progress toward more biologically realistic deep networks.
The association of resilience on psychiatric, substance use, and physical health outcomes in combat trauma-exposed military service members and veterans

ABSTRACT Objective: Although Combat exposure is associated with a range of psychiatric outcomes, many veterans do not develop psychopathology. Resilience is a multifaceted construct associated with reduced risk of distress and psychopathology; however, few studies have examined the relationship of resilience with a broader spectrum of health outcomes following combat exposure. It also remains important to determine the association of resilience above and beyond other documented risk and protective factors. Method: In a sample of combat-exposed veterans (N = 1,046) deployed to Iraq and Afghanistan, we examined a quantitative method for exploring relative psychological resilience (discrepancy-based psychiatric resilience; DBPR) and tested the hypothesis that resilience would be associated with reduced risk for psychiatric diagnosis count, substance use, and physical health outcomes, above and beyond other known correlates (e.g. combat exposure, social support). Results: In the final model, results suggested an inverse association of discrepancy-based psychiatric resilience with current psychiatric diagnosis count (β = −0.57, p < .001), alcohol use (β = −0.16, p < .001), drug use (β = −0.13, p < .001), and physical health concerns (β = −0.42, p < .001) after accounting for other relevant risk and protective factors. Conclusions: Results extend the nomological net of this quantitative resilience construct to include other relevant health outcomes, and demonstrate that resilience may have more of a buffering relationship with psychiatric and physical health concerns compared to substance use outcomes. HIGHLIGHTS • Examined the association of resilience with a spectrum of health outcomes following combat. • Resilience had an independent effect on psychiatric diagnosis, alcohol and drug use, and physical health complaints over other important factors, such as social support. • It was more strongly associated with psychiatric and physical health outcomes as compared to substance use. • The impact of psychological resilience on development/perception of health-related complaints is important to consider regarding broad outcomes following trauma.
Increasing Number and Volume of Cavitary Lesions on Chest Computed Tomography Are Associated With Prolonged Time to Culture Conversion in Pulmonary Tuberculosis

Abstract Background Cavitary lesions (CLs) primarily identified by chest x-ray (CXR) have been associated with worse clinical outcomes among patients with pulmonary tuberculosis (PTB). Chest computed tomography (CT), which has better resolution and increased sensitivity to detect lung abnormalities, has been understudied in PTB patients. We compared detection of CLs by CT and CXR and assessed their association with time to sputum culture conversion (tSCC). Methods This was a retrospective cohort study of 141 PTB patients who underwent CT. We used multivariate Cox proportional hazards models to evaluate the association between CLs on CXR and the number and single largest volume of CLs on CT with tSCC. Results Thirty (21%) and 75 (53%) patients had CLs on CXR and CT, respectively. CT detected cavities in an additional 44 patients (31%) compared with CXR. After multivariable adjustment, we observed a negative association between CLs and tSCC, with an adjusted hazard ratio (aHR) of 0.56 (95% confidence interval [CI], 0.32 to 0.97) for single CLs and 0.31 (95% CI, 0.16 to 0.60) for multiple CLs present on CT. Patients with a CL volume ≥25 mL had a prolonged tSCC (aHR, 0.39; 95% CI, 0.21 to 0.72). CLs on CXR were not associated with increased tSCC after multivariable adjustment. Conclusions CT detected a larger number of cavities in patients with PTB relative to CXR. We observed an association between increasing number and volume of CLs on CT and delayed tSCC independent of sputum microscopy result. Our findings highlight a potential role for CT in the clinical and research setting as a tool to risk-stratify patients with PTB.
Comparison of Corneal Epithelial Thickness Map Measured by Spectral Domain Optical Coherence Tomography in Healthy, Subclinical and Early Keratoconus Subjects

The aim of this study was to compare epithelial thickness map obtained by Spectral Domain Optical Coherence Tomography (SD-OCT) of eyes with myopic astigmatism but without keratoconus, subclinical and early keratoconus. Sixty-three eyes were divided into three groups; myopic astigmatism without keratoconus, subclinical and early keratoconus. Corneal epithelial thickness map was obtained by SD-OCT for all patients and compared between the 3 groups. Mean ± Standard Deviation of epithelial thickness in the area of minimum corneal epithelial thickness, in the one eighth part of the inferior (I) and in the one eighth part of the temporal (T) were 56.64±2.82 µm, 59.00±3.24 µm and 60.40±4.93 µm respectively in subclinical group. Three parameters on epithelial maps obtained by SD-OCT was significantly different in the 2 groups: I and T corneal epithelial thickness map was thicker in subclinical keratoconus (P<0.02 and P<0.02 respectively). Epithelial map uniformity indices were different between the groups, as Superior-I, Superonasal-Inferotemporal were lower (P<0.00 and P< 0.01 respectively) but T-nasal was higher in the subclinical group (P<0.02). The area with minimum epithelial thickness had a significantly lower amount in early keratoconus group compared to the other two groups (P<0.00). In conclusion, corneal epithelial thickness map provided early detection of keratoconus in the subclinical stage with compensatory epithelial thickening of inferior and one eighth of temporal compared to total corneal thickness and changes in epithelial map uniformity indices may lead to early detection of subclinical keratoconus from normal cornea.
Understanding Preoperative Demographics and Risk Factors for Early Revision Surgery in Patients Undergoing Hip Arthroscopic Surgery: A Large Database Study

Background: Hip arthroscopic surgery has become an increasingly common surgical technique to diagnose and treat various hip abnormalities. While increased efficacy has been reported, debate remains regarding appropriate surgical indications. Multiple factors including patient demographics, surgical procedure, and underlying disease have been associated with poor surgical outcomes. Preoperative diagnostic and treatment interventions including physical therapy and injections may affect surgical indications and outcomes. Purpose: To identify patient characteristics and preoperative factors associated with an increased risk of early revision surgery and/or extended postoperative medical care after index hip arthroscopic surgery. Study Design: Case-control study; Level of evidence, 3. Methods: Utah’s All Payer Claims Database, a state-mandated registry containing data from all payers, including private insurance, Medicare Advantage, and Medicaid, was queried to identify patients who underwent hip arthroscopic surgery during a 3-year period (January 1, 2013, to December 31, 2015). Demographics, comorbidities, nonoperative care modalities, pain medications, and revision procedures were collected using claims data at 6 months preoperatively and 12 months postoperatively. Results: A total of 1283 patients who underwent primary hip arthroscopic surgery were analyzed, of whom 57.6% (n = 739) were female. Within 1 year of index surgery, 7.8% and 2.1% of patients underwent revision hip arthroscopic surgery and conversion to total hip arthroplasty (THA), respectively. Patients older than 60 years and male patients were more likely to undergo revision arthroscopic surgery (odds ratio [OR], 0.89; P < .001 and OR, 1.59; P = .04, respectively) and convert to THA (OR, 1.03; P = .01 and OR, 2.25; P = .05, respectively). Preoperative opioid use was significantly associated with increased odds of revision surgery (OR, 1.64; P = .05) and THA (OR, 2.70; P = .03). No significant relationship existed between preoperative physical therapy or intra-articular hip injections and revision hip arthroscopic surgery (OR, 1.20; P = .45 and OR, 1.18; P = .52, respectively) or conversion to THA (OR, 0.89; P = .79 and OR, 0.71; P = .46, respectively). Conclusion: This study showed that predictable patient factors can effectively guide preoperative decision making and may improve prognosis. Certain patient pools require optimization preoperatively, and a subset of patients appears to require additional surgical indications.
Epidemiological Determinants of Advanced Prostate Cancer in Elderly Men in the United States

In this study, we examined the effects of individual-level and area-level characteristics on advanced prostate cancer diagnosis among Medicare eligible older men (ages 70+ years). We analyzed patients from the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database (2000-2007) linked to US Census and County Business Patterns data. Cluster-adjusted logistic regression models were used to quantify the effects of individual preventive health behavior, clinical and demographic characteristics, area-level health services supply, and socioeconomic characteristics on stage at diagnosis. The fully adjusted model was used to estimate county-specific effects and predicted probabilities of advanced prostate cancer. In the adjusted analyses, low intensity of annual prostate-specific antigen (PSA) testing and other preventive health behavior, high comorbidity, African American race, and lower county socioeconomic and health services supply characteristics were statistically significantly associated with a higher likelihood of distant prostate cancer diagnosis. The fully adjusted predicted proportions of advanced prostate cancer diagnosis across 158 counties ranged from 3% to 15% (mean: 6%, SD: 7%). County-level socioeconomic and health services supply characteristics, individual-level preventive health behavior, demographic and clinical characteristics are determinants of advanced stage prostate cancer diagnosis among older Medicare beneficiaries; other health care-related factors such as family history, lifestyle choices, and health-seeking behavior should also be considered as explanatory factors.
Pattern Structures for Identifying Biclusters with Coherent Sign Changes

In this paper we are studying the task of nding coherent-sign-changes biclusters in a binary matrix. This task can be applied to the interpretation of gene expression data, where such a bicluster represents a set of experiments that aect a set of genes in a consistent way. We start with a binary table and study biclustering methods based on FCA and partition pattern structures. Pattern concepts provide biclusters and their hierarchical relation, which can be used to analyze the prole of genes in the given expression data. Our approach is purely symbolic, so we can detect larger biclusters and work with rather complex data.
mTORC2 Deficiency Alters the Metabolic Profile of Conventional Dendritic Cells

In myeloid dendritic cells (DC), deletion of the mechanistic target of rapamycin complex 2 (TORC2) results in an augmented pro-inflammatory phenotype and T cell stimulatory activity; however, the underlying mechanism has not been resolved. Here, we demonstrate that mouse bone marrow-derived TORC2-deficient myeloid DC (TORC2−/− DC) utilize an altered metabolic program, characterized by enhanced baseline glycolytic function compared to wild-type WT control (Ctrl) DC, increased dependence on glycolytic ATP production, elevated lipid content and higher viability following stimulation with LPS. In addition, TORC2−/− DC display an increased spare respiratory capacity (SRC) compared to WT Ctrl DC; this metabolic phenotype corresponds with increased mitochondrial mass and mean mitochondrial DNA copy number, and failure of TORC2−/− DC mitochondria to depolarize following LPS stimulation. Our data suggest that the enhanced metabolic activity of TORC2−/− DC may be due to compensatory TORC1 pathway activity, namely increased expression of multiple genes upstream of Akt/TORC1 activity, including the integrin alpha IIb, protein tyrosine kinase 2/focal adhesion kinase, IL-7R and Janus kinase 1(JAK1), and the activation of downstream targets of TORC1, including p70S6K, eukaryotic translation initiation factor 4E binding protein 1 (4EBP1) and CD36 (fatty acid translocase). These enhanced TORC1 pathway activities may culminate in increased expression of the nuclear receptor peroxisome proliferator-activated receptor γ (Pparγ) that regulates fatty acid storage, and the transcription factor sterol regulatory element-binding transcription factor 1 (Srebf1). Taken together, our data suggest that TORC2 may function to restrain TORC1-driven metabolic activity and mitochondrial regulation in myeloid DC.
Assessing Risk Aversion From the Investor’s Point of View

Throughout the financial literature, there is a great deal of debate about the nature of investors’ risk preferences. In an ever-changing world, the main schools of knowledge discuss the constant or dynamic basis of these preferences. Based on an exhaustive review of the subject of risk aversion, this paper contributes to filling the gap that exists in the literature on the risk aversion parameter that best fits the investors’ behavior toward risk. The main determinants of risk attitude are examined and the different and most novel methodologies and perspectives are carefully analyzed.