Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance Assessment to Enhance Training Effectiveness

Training simulators have become increasingly popular tools for instructing humans on performance in complex environments. However, the question of how to provide individualized and scenario-specific assessment and feedback to students remains largely an open question. To maximize training efficiency, new technologies are required that assist instructors in providing individually relevant instruction. Sandia National Laboratories has shown the feasibility of automated performance assessment tools, such as the Sandia-developed Automated Expert Modeling and Student Evaluation (AEMASE) software, through proof-of-concept demonstrations, a pilot study, and an experiment. In the pilot study, the AEMASE system, which automatically assesses student performance based on observed examples of good and bad performance in a given domain, achieved a high degree of agreement with a human grader (89%) in assessing tactical air engagement scenarios. In more recent work, we found that AEMASE achieved a high degree of agreement with human graders (83-99%) for three Navy E-2 domain-relevant performance metrics. The current study provides a rigorous empirical evaluation of the enhanced training effectiveness achievable with this technology. In particular, we assessed whether giving students feedback based on automated metrics would enhance training effectiveness and improve student performance. We trained two groups of employees (differentiated by type of feedback) on a Navy E-2 simulator and assessed their performance on three domain-specific performance metrics. We found that students given feedback via the AEMASE-based debrief tool performed significantly better than students given only instructor feedback on two out of three metrics. Future work will focus on extending these developments for automated assessment of teamwork.
Towards Data-Driven Control for Modern Wind Turbines

Further developments in data-driven control techniques for the load reduction of modern wind turbines can achieve an increased lifetime of components and make the scaling to larger rotor diameters possible, and therefore improve the cost effectiveness of modern wind turbines. Also the success of future rotor designs will heavily depend for their operation on new developments in active control technologies. This thesis proposes a novel control algorithm for the rejection of periodic disturbances. The load disturbances seen by an individual rotor blade are to a large extent periodic and repetitive; for instance, tower shadow, wind shear, yawed error, and gravity are depending on the azimuth angle and rotational speed, and will change slowly over time. The contribution of these periodic disturbances will become even larger in the future, due to the increasing length and mass of the rotor blades and the possible downwind location of a two-bladed rotor. By compensating only the smooth periodic disturbances, the control action would not create to much fatigue damage on the actuators.
Developments in sandwich construction

The research is divided into two parts. In the first part the structural behaviour of sandwich beams using timber-based facings and foamed plastic cores was studied. Various available theories were examined and the most appropriate theory for this type of panel was identified. In an extensive test programme the relevant properties of the constituent materials were measured and the data used in the proposed theory of structural behaviour to predict beam deflections and core and facing stresses. Corresponding sandwich beam tests were carried out on the range of skin/core combinations and the theoretical and experimental behaviours were compared. Good agreement was confirmed within the range of span/depth ratios investigated, confirming the applicability of the theory for semi-thick timber-based facings. A variety of timber based facings were investigated and those most suitable for sandwich construction were identified. This type of panel construction has many advantages but lacks the benefit of good fire resistance. The recF.iired fire resistance could be provided by a suitable core material. Part two of the research concentrated on the development of a new core material which was intended to have good structural properties at reasonable density, and to have adequate fire resistance free from the production of smoke and toxic fumes. Coated paper honeycombs were chosen for the study. The properties of the constituent materials were investigated in detail and then the structural properties of the developed cores were measured using methods drawn from national and international standards. One particular coating combination proved to be effective in terms of stiffness, fire resistance, freedom from micro cracking and strength retention at high temperature. This was based on a mixture of sodium silicate and ball clay. Cores were tested both with cells empty (to be blocked by intumescence) and with cells filled (e.g. with lightweight filler). In the best of the developed cores, shear stiffness and transverse stiffness were much higher than in normal core materials. On the basis of the test programme, panels can be designed to give a fire resistance defined by insulation of up to two hours.
Study on the possibility of application of coffee water decoctions for limiting the growth of corn chamomile (Anthemis arvensis) and red poppy (Papaver rhoeas).

„Journal of Research and Applications in Agricultural Engineering” 2012, Vol. 57(4) 92 Tomasz SEKUTOWSKI, Kinga MATYSIAK, Sylwia KACZMAREK 1 Instytut Uprawy Nawo enia i Gleboznawstwa Pa stwowy Instytut Badawczy w Pu awach Zak ad Herbologii i Technik Uprawy Roli we Wroc awiu ul. Orzechowa 61, 50-540 Wroc aw e-mail: t.sekutowski@iung.wroclaw. pl 2 Instytut Ochrony Ro lin Pa stwowy Instytut Badawczy, Zak ad Herbologii i Technik Ochrony Ro lin ul. W . W gorka 20, 60-318 Pozna
Smart condition monitoring by intergration of vibration, oil and wear particle analysis

Vibration, oil and wear particle analyses typically represent the core techniques used for machine condition monitoring. While these techniques have been incorporated in many maintenance programs found throughout industry, the results of each analysis are generally considered independently for machine health assessment. Due to the complexity of condition monitoring and the lack of a successful correlation algorithm, the potential benefits of an integrated condition monitoring program have not been realised. This paper outlines the development stages of an expert system designed to perform automated machine condition monitoring of gearbox and associated components faults, by using a correlation algorithm to combine the results obtained from vibration, oil and wear particle analysis. The design aspects of the correlation algorithm are presented in detail, including an analysis of the detection abilities of the three condition monitoring techniques. The development also included a rigorous testing phase which included the verification of all implemented reasoning logic, as well as analysis of laboratory and industry derived data. Some testing results are also discussed, outlining the fault identification ability of the algorithm for typically encountered gearbox faults. The analysis of machine condition data by a correlated approach of vibration, oil and wear particle analysis has a number of benefits compared to conventional condition monitoring practices. These include accurate, efficient and early fault detection of gearbox and bearing faults, as well as the ability to perform root-cause analysis. The automated analysis algorithm permits non-expert personnel to perform routine comprehensive machine condition monitoring, while providing a consistent objective analysis of the machine health.
Preferences for job tasks and gender gaps in the labor market

Women and men work in markedly different jobs, leading to persistent occupational segregation by gender. This paper provides evidence that gender differences in how individuals value activities performed at work, termed job tasks, can help explain these sorting patterns. I conduct a hypothetical choice experiment to elicit workers’ willingness to pay for a set of tasks that are more frequently performed by one gender than the other. The experimental scenarios ask participants to choose between two hypothetical jobs that differ in terms of pay and the amount of time spent on a gender-typical task, but are otherwise the same. I find significant gender differences in willingness to pay for three of the five tasks that I examine. Willingness to pay is significantly higher among participants who report spending more time on a task in their current job, suggesting that estimates are correlated with actual sorting behavior. I show that gender differences in preferences for the tasks that I investigate can account for a substantial portion of occupational segregation in the U.S. labor market. ∗Gelblum: Harvard University. Email: mgelblum@g.harvard. edu. I am grateful to my advisors, David Deming, Claudia Goldin, Lawrence Katz and Amanda Pallais, for their guidance. I thank Lisa Abraham, David Autor, Christopher Avery, Oriana Bandiera, Alex Bell, Nicholas Bloom, Michela Carlana, Elijah de la Campa, Edward Glaeser, Joshua Goodman, Marie-Pascale Grimon, Helen Ho, Isabel Macdonald, Stephen Machin, Alan Manning, Guy Michaels, Jörn-Steffen Pischke, Maya Sen, Elie Tamer and many others for helpful feedback. This paper has also benefited from comments by seminar participants at Harvard University and the London School of Economics. This work has been supported by the Harvard University Multidisciplinary Program in Inequality and Social Policy, the Harvard Kennedy School Women and Public Policy Program, and the Lynde and Harry Bradley Foundation.
Genome-wide associations for udder and teat conformational risk factors for mastitis in Holstein cows

BACKGROUND The objective of our study was to conduct high-density genome-wide association studies of dairy cow udder and teat conformation with direct phenotyping. We identified and compared quantitative trait loci ( QTL ) for a novel composite mastitis risk trait and considered environmental impact of milking by comparing primiparous cows only. Cows (N = 471) were genotyped on the Illumina BovineHD 777K beadchip and scored for front and rear teat length, width, end shape, and placement, fore udder attachment, udder cleft, udder depth, rear udder height, and rear udder width. Principal component analysis was performed on fore udder attachment, rear teat end shape, rear teat width, and rear udder height, to create a single new phenotype describing mastitis susceptibility based on these high-risk traits.RESULTS Over all 14 traits of interest, a total of 56 genome-wide associations were performed and 28 significantly associated (Bonferroni multiple testing correction < 0.05) QTL were identified. The linkage disequilibrium ( LD ) block surrounding the associated QTL or a 1 Mb window in the absence of LD was interrogated for candidate genes, resulting in the identification of genes with functions related to both cell proliferation and immune signaling, including ZNF683, DHX9, CUX1, TNNT1 , and SPRY1 . We assessed a primiparous only subset of cows (n = 144) to account for the possibility that the genetic variance component of the phenotype is greater for cows who have had less exposure to the environment, and observed different associated QTL and inheritance patterns for udder depth in primiparous cows compared to the total cohort.CONCLUSION Special focus was given to the aforementioned mastitis risk traits, and candidate gene investigation revealed both immune function and cell proliferation related genes in the areas surrounding significantly associated QTL, suggesting that selecting for mastitis resistant cows based on these traits would be an effective method for increasing mastitis resiliency in a herd.
Action without change? On the use and usefulness of pilot experiments in environmental management

One of the most common approaches to environmental action consists in designing and implementing pilot experiments, which aim at testing new practices and organisations. These technical or socio-political innovations are then supposed to spread. However, the way such a juxtaposition of experiments is expected to lead to a global transformation of our development paths and of their environmental dimension remains quite mysterious, if not mythified. Analysing the pilot approach as a strategy of change, this article offers a concise view on what is at stake in the replication hypothesis underlying the approach.
Estimating the Private Benefits of Control from Block Trades: Methodology and Evidence

We elaborate the Barclay and Holderness (1989) methodology commonly used for estimating the private benefits of control from block trades. Despite the recent methodological advance in the area, i.e. Albuquerque and Schroth (2010), the Barclay and Holderness methodology remains the only applicable methodology in many if not most of the cases. The empirical work identifies a large impact of our revised methodology in cases of partial control transfers; in many cases our methodological improvement appears crucial.
The Effects of a School-Based Physical Activity Teacher Intervention on the Physical Activity Attitudes and Practices of Adolescent Students in Lagos, Nigeria

Background: Nigerian adolescents are faced with challenges around physical inactivity. Poor attitudes to, and practices in, physical activity during school physical education (PE) classes are also a challenge. Our study integrated an innovative PE teaching methodology (autonomous support style) into a professional development training (PDT) programme for teachers to promote PA among adolescents. The study aimed at determining the effects of this school-based physical activity intervention for teachers on the physical activity attitudes and practices of adolescents. This study employed a descriptive quantitative research approach to determine the attitudes and practices of adolescents. One thousand two hundred students were recruited from twenty-four junior secondary schoolsthrough an intact group design process. A PE teacher from each school was included in the PDT intervention programme. The main components of the intervention included training PE teachers to influence their students’ attitudes and practices through the use of an autonomous support style of teaching.PE teachers allocated to the intervention group implemented the autonomous support style of teaching at the schools in the intervention group for four months. There was a pre-intervention baseline assessment of the students’ physical activity attitudes and practices, with a second assessment following the intervention. Results showed that there were significant (p<0.05) changes, post-intervention, in the adolescents’ attitudes to, and practices in, physical activity participation during PE classes, and at lunch or break-time during the school day.
A Surrogate Measure Of Customer Satisfaction In The Manufacture Of Printed Wiring Boards

The objective of this research is to determine and develop a model that is capable of accurately measuring customer satisfaction for different industries and in particularly for the Printed Wiring Boards (PWB) Manufacturers. The new model will incorporate data not being collected or utilized by the survey method of determining customer satisfaction. The method used is a weighted average of satisfaction among several researched categories with percentages that accurately represent the relative importance of multiple facets of the PWB manufacturers customer satisfaction. A very common term in quality assurance is that “What is not measured accurately can not be evaluated or managed correctly,” thus customer satisfaction is a very important aspect of any business, industry, or government. A satisfied customer will do more business and recommend it to other potential customers. Thus the business will grow and more revenues result. On the other hand, an unsatisfied customer will abandon the business and encourage more customers not to get involved with the same business so the business may decline and lose its market share and profitability. The categories that contribute to PWB customer satisfaction will be determined by conducting surveys among the leaders and best in the business of the PWB industry in addition to discovery of related articles that define the categories of the customer satisfaction for the PWB manufacturers. Once the categories are determined, the research concentrates on the weighting of the categories that most contribute to the PWB customer’s satisfaction and a measure of satisfaction is derived. The model is easily applied to any other kind of PWB business or service industry. The model is based on empirical methods that will give an accurate measurement for the PWB customer’s satisfaction. This in turn allows organizations the opportunity for improving
MIDSHIP SECTION DESIGN USING A BILEVEL PRODUCTION COST OPTIMIZATION SCHEME

This paper presents the prototype of a computer-based method of midship section production cost optimization. The task is divided into two hierarchical levels, the global hull girder strength problem and the local stiffened panel strength problem, which are separated into interdependent yet distinct nonlinear programing problems (NLPs). Standard plates and rolled shapes are modeled explicitly. First the continuous solution is found, then the branch-and-bound method is used at both hierarchical levels to efficiently determine discrete optimum solutions from the continuous ones
Experimental Verification of Departure from-Rankine-Hugoniot Behaviour in Weak Mach Reflection

Stagnation temperature traverses were performed in the supersonic wind tunnel behind the reflected shock wave of WMR. This had been suggested, among other obser-vations, by some earlier puzzling results from shock tube experiments. The present findings substantially confirm the hypothesis that the reflected shock undergoes a transformation which produces a departure from RH behaviour. This anomaly is found to result in a small drop of stagnation enthalpy across the reflected wave. This mechanism raises the r-wave’s ailing streamline deflecting capacity. The effect goes on increasing past RR till the conditions for onset of WMR can be satisfied.
LES based aerothermal modeling of turbine blade cooling systems

This PhD dissertation, conducted as part of a CIFRE research project between TURBOMECA and CERFACS in partnership with the VKI, deals with improving performance of axial turbines from helicopter engines. One of the most critical design points of such engines is the control of the high pressure turbine blade lifetime which face the high temperatures from the combustor. Today, industrial numerical aerothermal predictions of the flows around the blade (in the vein and in its cooling system) are performed with the Reynolds Averaged Navier-Stokes (RANS). Thanks to the increasing computational power, Large Eddy Simulation (LES) becomes affordable to offer further flow predictions. Therefore, this thesis focuses on the capabilities of the LES to estimate the flow in turbine blade internal cooling channels. To simplify this analysis where several physical phenomenon are present, the problem is described in three parts with increasing complexity. The first part addresses simplified typical geometries of cooling channel (U-bend and ribbed channel) in a static configuration. Considering the flow regime, a wall-resolved approach using a hybrid unstructured mesh is proposed in view of the application on an industrial case. The second part extends the study of the ribbed channel in rotation using an inertial reference frame. LES provides mean and unsteady results in good agreement with the available experimental data and previous works, for the flow dynamic and the heat transfer. Finally, the third part presents the application of the method to an industrial case with conjugate heat transfer between a complex cooling channel and the blade. This last section is not present in the public manuscrit for confidential reasons. Results of the use of the wall-resolved approach in rotation in an inertial frame of reference are compared to RANS predictions and show the potential of the method with high local differences.
The Use and Design of Flightcrew Checklists and Manuals

A survey of aircraft checklists and flight manuals was conducted to identify impediments to their use and to determine if standards or guidelines for their design were needed. Information for this purpose was collected through the review of checklists and manuals from six Part 121 and nine Part 135 carriers, review of National Transportation Safety Board and Aviation Safety Reporting System reports, analysis of an Air Line Pilots Association survey of air carrier pilots, and by direct observation in air carrier cockpits. The survey revealed that some checklists and manuals were difficult to locate and were poorly designed for use in the cockpit environment, the use of checklists by flight crews was not always well defined, the use of checklists interfered with other flight operations, and flight operations often made it difficult to use checklists effectively. The report contains recommendations for the formatting and content of checklists and manuals, their use by flight crews, and areas of research relevant to checklist design.
The Analysis of Abnormal Stock Returns in LQ-45 Index during Covid-19 Pandemic

This research aimed: (1) to identify the average distinction of abnormal stock-return in LQ-45 during Covid-19 Pandemic around January-May 2020 in Indonesia, and (2) to identify the highest average abnormal stock-return during Covid-19 Pandemic around January-May 2020. The research sample used LQ-45 Share through purposive sampling method. Abnormal return denotes to the indicator used to measure the market reaction due to the particular event. Kolmogorov Smirnov and Kruskal Wallis test are used to assess the normality data and examine whether there was average distinction of abnormal stock-return in LQ-45 during Covid-19 Pandemic around January-May 2020 in Indonesia. The research finding represents that there is an average distinction of abnormal stock-return in LQ-45 during Covid-19 Pandemic in Indonesia. The most significant distinction shown on March 2020 which the average abnormal return value is 71.93, decreasing from February 2020 in average value of 102.43. Based on the data analysis, it is identified 17 companies with positive abnormal return whose highest average abnormal return during the pandemic around January-May 2020 is Barito Pacific Tbk (BRPT) company in value of 0.11399140.