Miracle-dz/UniFAR-FTUs huggingface dataset:
Solid rocket technology advancements for space tug and IUS applications

Two-burn restartable solid propellant rocket motors for the kick stage (auxiliary stage) of the Shuttle Tug, or Interim Upper Stage, are described, with details on features and test results of the ignition and quench (thrust termination) systems and procedures, fabrication of propellant and insulation, explosion hazards of propellants, and comparative data on present and future motor design. These rocket motor systems are designed for upper stage augmentation of launch vehicles and possible service in Shuttle-launched outer planet spacecraft.
Assessing Influence of Road Roughness on Driver Behavior: Exploratory Step Through Dynamic Driving Simulator

Road roughness represents a key parameter in pavement management systems as it affects driver? s riding comfort, pavement performance and Vehicle Operating Costs. Ride quality is related to in-vehicle vibration that, in turn, is dependent on the level of road roughness, on the speed chosen by the driver and on the inertial and mechanical characteristics of the vehicles. Several studies have highlighted that, under certain conditions, driver may be induced to vary his speed in order to reach an acceptable in-vehicle vibration level according to his subjective exposure threshold. In this paper, a further contribution on this issue is presented. A dynamic driving simulator (DDS) employing a real car fixed on a 6 degrees of freedom motion platform is currently operating at the TEST Laboratory in Naples. The DDS system is able to reproduce most of the accelerations the occupants feel, in particular those arising from turning and braking maneuvers and from dynamic interaction with pavement surface singular irregularities. A team of researchers from University of Naples "Federico II", Second University of Naples, University of Cassino (and the Oktal Company) have improved the system allowing the implementation of a module simulating vehicle vibrations induced by distributed irregularities. In this paper, the development of the vibration simulation module and the results from preliminary experimental calibration procedures are briefly reported. The initial outcomes of the performed tests seem to fairly agree with similar published results derived from technical literature.
Uncertainty Visualization

While uncertainty is present in most data analysis pipelines, reasoning with uncertainty is challenging for novices and experts alike. Fortunately, researchers are making significant advancements in the communication of uncertainty. In this chapter, we detail new visualization methods and emerging cognitive theories that describe how we reason with visual representations of uncertainty. We describe the best practices in uncertainty visualization and the psychology behind how each approach supports viewers' judgments. This chapter begins with a brief overview of conventional and state-of-the-art uncertainty visualization techniques. Then we take an in-depth look at the pros and cons of each technique using cognitive theories that describe why and how the mind processes different types of uncertainty information.
Elevator Running Fault Monitoring Method Based on Vibration Signal

According to the one-dimensional characteristics of the vibration signal, this paper proposes an elevator operation fault monitoring method based on one-dimensional convolutional neural network (1-DCNN). It can solve the problems of traditional elevator fault monitoring methods that require complex feature extraction processes and a large amount of diagnostic experience. Because the elevator fault monitoring field has less fault information, it is different from the large sample situation in the field of face recognition. Aiming at the problem of small samples, this paper first preprocesses elevator vibration signals through singular value decomposition (SVD) and wavelet transform, then uses wavelet transform to extract wavelet energy features of the original vibration signals, and then use PCA to reduce the feature data to the dimension with a cumulative contribution rate of greater than 85%. When reducing the dimensionality, the original characteristics of the features are preserved as much as possible. When designing the 1-CNN, the K-fold cross-validation method is added to obtain as many abnormalities from the sample set as possible. The information is finally trained using the 1-CNN and classified by softmax regression. In order to verify the performance of the algorithm, the original vibration signal was used as the input of the 1-CNN, and the wavelet energy feature without PCA dimensionality reduction was used as the input of the 1-CNN. The experimental results showed that the 1-DCNN model with PCA dimension-reduced feature data as input can effectively extract and identify the features of normal and abnormal states and has high fault identification accuracy, and good results have been obtained.
NASA Innovation Fund 2010 Project Elastically Shaped Future Air Vehicle Concept

This report describes a study conducted in 2010 under the NASA Innovation Fund Award to develop innovative future air vehicle concepts. Aerodynamic optimization was performed to produce three different aircraft configuration concepts for low drag, namely drooped wing, inflected wing, and squashed fuselage. A novel wing shaping control concept is introduced. This concept describes a new capability of actively controlling wing shape in-flight to minimize drag. In addition, a novel flight control effector concept is developed to enable wing shaping control. This concept is called a variable camber continuous trailing edge flap that can reduce drag by as much as 50% over a conventional flap. In totality, the potential benefits of fuel savings offered by these concepts can be significant.
News algorithms for green wired and wireless communications

The demand for new services and applications in communication systems, as well as the number of users, are steadily increasing. This growth invoves a great use of energy in information and communications technologies , which contributes significantly to global warming. Furthermore, to satisfy the energy requirements for both wired and wireless networks, new approaches must be developed.Firstly, our researches focus on resources allocation mechanisms in point-to-point systems for two transmission modes (single-carrier and multi-carrier) with the goal of minimizing the energy cosumption. In this part, we present a new approach called ultra wide time (UWT) and a new metric for communication systems. Based on this approach, efficient algorithms for resource allocation are proposed to improve energy efficiency in wireless and wired networks.
The measurability analysis of abnormality detection based on DOT method using stack auto-encoding neural network model

The stacked autoencoder (SAE) neural network applied to diffuse optical tomography (DOT) achieves accurate and stable detection of the position and size of tissue abnormality. The quality of modeling data influences the robustness and the accuracy of the model, the measurability of the model determines the effective range of the data cleaning method used in clinical practice. In order to determine the effective range of this method in clinical use, we analyze the measurability of anomaly detection based on DOT method. The analysis result is used as a priori information to clean the neural network sample data set used in this work. The results show that excluding the data outside the measurable range, the proposed method enables the network to achieve a prediction accuracy of 99% within the measurable range and achieves rapid and accurate detection of the position and size of abnormality in the tissue.
Using Data Analysis Projects to Promote Statistical Thinking in an Introductory Statistics Course: A Basis for Curriculum Materials Development

A BSTRACT : Statistical thinking has long been a topic of discussion and a generally agreed upon goal for statistics instruction . S tatistics involves distinctive and powerful ways of thinking . S tatistics is a general intellectual method that applies wherever data, variation, and chance appear . A ny introductory course should take as its main goal helping students to learn the basic elements of statistical thinking. Many advanced courses would be improved by a more explicit emphasis on those same basic elements. Those elements were described as: the need for data; the importance of data production; the omnipresence of variability; and the quantification and explanation of variability. The use of data analysis projects provides also students with the opportunity to demonstrate their ability to apply and integrate statistical knowledge and skills in analysing information statistically. This paper will describe the projects and types of statistical analysis that had been selected by 31 counselling students enrolled in an introductory statistics course at the undergraduate level. Content analysis was carried out on their final report of the projects and survey was used to elicit their experiences of working on the projects. These findings will eventually be the basis for the development of curriculum materials to help instructors and their students implement data analysis projects in their respective classrooms . K EY WORDS : Counselling, projects, survey, statistical thinking, statistics, curriculum materials, and undergraduate students . About the Author: Assoc. Prof. Dr. Nik Suryani Nik Abd Rahman is a Senior Lecturer at the Institute of Education IIUM (International Islamic University of Malaysia) in Gombak, Kuala Lumpur, Malaysia. For academic purposes, the author can be contacted via phone: +60192244813 or e-mail: nsuryani@iium.edu. my How to cite this article? Rahman, Nik Suryani Nik Abd. (2014). “Using Data Analysis Projects to Promote Statistical Thinking in an Introductory Statistics Course: A Basis for Curriculum Materials Development” in EDUCARE: International Journal for Educational Studies , Vol.7(1) August, pp.49-56. Bandung, Indonesia: Minda Masagi Press and UMP Purwokerto, ISSN 1979-7877. Chronicle of the article: Accepted (November 17, 2013); Revised (April 14, 2014); and Published (August 17, 2014).
Quantification for Antibody-Conjugated Drug in Trastuzumab Emtansine and Application to In Vitro Linker Stability and In Vivo Pharmacokinetic Study in Rat Using an Immuno-Affinity Capture Liquid Chromatography-Mass Spectrometric Method

Trastuzumab emtansine (T-DM1, brand name: Kadcyla®) is the first FDA-approved antibody-drug conjugate (ADC) for metastatic human epidermal growth factor receptor 2 positive (HER2+) breast cancer. It consists of three components: trastuzumab, an anti-HER2 monoclonal antibody, maytansinoid (DM1) as a cytotoxic drug, and maleimidomethyl cyclohexane-1-carboxylate (MCC) as a linker. In particular, the MCC linker is known as a non-cleavable linker and has a feature of being conjugated to DM1 by a covalent thioether bond. In this study, we developed an immuno-affinity capture liquid chromatography-mass spectrometric (LC-MS/MS) assay for quantifying the antibody-conjugated drug (acDrug) component of T-DM1. To quantify acDrug, desulfurated DM1 was prepared using a chemical desulfuration pretreatment and quantified as an acDrug. A quadratic regression (weighted 1/concentration), with equation y = ax2 + bx + c, was used to fit the calibration curves over the concentration range of 17.09~1709.44 ng/mL for the acDrug of T-DM1. The quantification run met the in-house acceptance criteria of ±25% accuracy and precision values for the quality control (QC) samples. In conclusion, an immuno-affinity capture LC-MS/MS assay was successfully developed to quantify acDrug of T-DM1 and applied to evaluate in vitro plasma linker stability and preclinical pharmacokinetic (PK) study in rats. This assay could be helpful when applied to other ADCs with the same linker-cytotoxic drug platform.
SHOTCRETE: STRUCTURAL TESTING OF THIN LINERS

This report presents the results of engineering studies related to the development of new and improved tunnel support systems. Thin shotcrete layers were studied to assess their capacity and behavior as temporary tunnel supports. The design, construction, and operation of a large-scale test facility simulating a planar tunnel roof with a punching block 2 ft x 2 ft (60.8 cm x 60.8 cm) are described. Preliminary tests were conducted using thin mortar layers to assess the performance of the test device and the principal variables controlling the capacity of the thin liner. Results obtained from these tests were used in the planning and evaluating of the shotcrete test program. This report describes the development of the test-device, the equipment, and its arrangement and the shotcrete used in the model. The capacity of shotcrete layers for different thickness and strength of shotcrete and shotcrete-rock bond was determined.
Reduction of structural loads using maneuver load control on the Advanced Fighter Technology Integration (AFTI)/F-111 mission adaptive wing

A transonic fighter-bomber aircraft, having a swept supercritical wing with smooth variable-camber flaps was fitted with a maneuver load control (MLC) system that implements a technique to reduce the inboard bending moments in the wing by shifting the spanwise load distribution inboard as load factor increases. The technique modifies the spanwise camber distribution by automatically commanding flap position as a function of flap position, true airspeed, Mach number, dynamic pressure, normal acceleration, and wing sweep position. Flight test structural loads data were obtained for loads in both the wing box and the wing root. Data from uniformly deflected flaps were compared with data from flaps in the MLC configuration where the outboard segment of three flap segments was deflected downward less than the two inboard segments. The changes in the shear loads in the forward wing spar and at the roots of the stabilators also are presented. The camber control system automatically reconfigures the flaps through varied flight conditions. Configurations having both moderate and full trailing-edge flap deflection were tested. Flight test data were collected at Mach numbers of 0.6, 0.7, 0.8, and 0.9 and dynamic pressures of 300, 450, 600, and 800 lb/sq ft. The Reynolds numbers for these flight conditions ranged from 26 x 10(exp 6) to 54 x 10(exp 6) at the mean aerodynamic chord. Load factor increases of up to 1.0 g achieved with no increase in wing root bending moment with the MLC flap configuration.
Advanced Spatial Data Analysis and Modelling with Support Vector Machines

The research deals with the novel application of Support Vector Machines (Support Vector Classification and Support Vector Regression) for the analysis and modelling of spatial environmental data. Multiclass classification of soil types and pollution mapping are considered as real case studies. Geostatistical tools (variography) are used to control the performance of the machines.
Development of Tongan Materials for Determining Speech Recognition Thresholds

DEVELOPMENT OF TONGAN MATERIALS FOR DETERMINING SPEECH RECOGNITION THRESHOLD Lisa Dawn Bunker Department of Communication Disorders Master of Science Speech recognition threshold (SRT) is an important clinical measure that validates the pure-tone average (PTA), assists in diagnosis and prognosis of hearing and hearing impairment, and helps identify non-organic hearing impairment. Few published, recorded, and standardized materials exist in languages other than English, which results in audiologists testing individuals using materials developed in a non-native language. Research shows that this is problematic, as certain criterion for SRT testing are not met. Thus, performance may reflect test-language deficiency rather than hearing impairment. Currently, there are no known published materials for use in measuring the SRT in individuals whose native language is Tongan. The purpose of this project was to record and develop psychometrically equivalent words in Tongan for measuring the SRT. This study identified 28 trisyllabic words that were relatively homogenous in relation to audibility and psychometric function slope. The intensity of these 28 words was adjusted to equate 50% threshold performance for each word with the mean PTA (5.92 dB HL) for the twenty normally hearing participants. These materials were digitally recorded onto compact disc for distribution and use for SRT testing in Tongan.
Problems encountered with farm transfers: the case of Brittany

Farm transfers in industrialised countries are a major element of the structural change seen in agriculture today. In France, farm transfers represent a key strategic issue with half of all farm heads being over 50 years old in 2010 and therefore due to retire in the next ten or fifteen years. The purpose of this paper is to contribute to our understanding of the issues and problems associated with the farm transfer process, taking the French region Brittany as a case study. A review of the literature, rounded out by interviews with public and professional stakeholders involved in the transfer and settling processes, identifies certain key aspects, which are borne out by a survey of 15 farmers established for less than five years and 25 farmers eligible for retirement in the next ten years in Brittany.
Ticket to ride

The trend towards the introduction of cashless travel using intelligent bus tickets with embedded chips is increasing. The concept of intelligent ticketing is being investigated by the West Midlands Passenger Transport Authority. Smartcards have been trialled with senior citizens travelling on buses in Coventry. In London, Oyster card is used for over 50% of bus and tube travel. Smartcards are expected to play a key role in the nationwide free bus travel scheme for people over 60 and those with disabilities. The technology used by Cheshire includes Wayfarer's Smart TGX150 with ITSO compatible readers. Wayfarer has also won a contract to provide CardiffBus with Smart TGX150 machines. Cash handling equipment includes Scan Coin's CDP4 driver cash deposit unit and the CDS500 and CDS1000 cash deposit systems. ERG has signed a contract with Parkeon to provide bus and tram operators in Le Mans, France with a smartcard-based automated fare collection system.
An overview of penalised regression methods for informing the selection of predictive markers

Background: Penalised regression methods are a useful atheoretical approach for identifying key predictive indicators when one’s initial list of indicators is substantial, a process which may aid in informing population health surveillance. The purpose of this study was to examine the predictive performance and feature (i.e., variable) selection capability of common penalised regression methods (LASSO, adaptive LASSO, and elastic-net), compared with traditional logistic regression and forward selection methods. Design: Data were drawn from the Australian Temperament Project, a longitudinal cohort study beginning in 1983. The analytic sample consisted of 1,292 (707 women) participants. A total of 102 adolescent psychosocial and contextual indicators were available to predict young adult daily smoking. Findings: Penalised regression methods showed small improvements in predictive performance over logistic regression and forward selection. However, no single penalised regression model outperformed the others. Elastic-net models selected more indicators than either LASSO or adaptive LASSO. Additionally, more regularised models included fewer indicators, yet had comparable predictive performance. Forward selection methods dismissed many indicators identified as important in the penalised regression models. Conclusions: Although overall predictive accuracy was only marginally better with penalised regression method, benefits were most clear in their capacity to select a manageable subset of indicators. Preference to competing penalised regression methods may therefore be guided by feature selection capability, and thus interpretative considerations, rather than predictive performance alone.
Ferroresonance simulation studies of transmission systems

The onset of a ferroresonance phenomenon in power systems is commonly caused by the reconfiguration of a circuit into the one consisting of capacitances in series and interacting with transformers. The reconfiguration can be due to switching operations of de-energisation or the occurrence of a fault. Sustained ferroresonance without immediate mitigation measures can cause the transformers to stay in a state of saturation leading to excessive flux migrating to transformer tanks via internal accessories. The symptom of such an event can be unwanted humming noises being generated but the real threatening implication is the possible overheating which can result in premature ageing and failures.The main objective of this thesis is to determine the accurate models for transformers, transmission lines, circuit breakers and cables under transient studies, particularly for ferroresonance. The modeling accuracy is validated on a particular 400/275 kV transmission system by comparing the field test recorded voltage and current waveforms with the simulation results obtained using the models. In addition, a second case study involving another 400/275 kV transmission system with two transformers is performed to investigate the likelihood of the occurrence of sustained fundamental frequency ferroresonance mode and a possible quenching mechanism using the 13 kV tertiary connected reactor. A sensitivity study on transmission line lengths was also carriedout to determine the probability function of occurrence of various ferroresonance modes. To reproduce the sustained fundamental and the subharmonic ferroresonance modes, the simulation studies revealed that three main power system components which are involved in ferroresonance, i.e. the circuit breaker, the transmission line and the transformer, can be modeled using time-controlled switch, the PI, Bergeron or Marti line model, and the BCTRAN+ or HYBRID transformer model. Any combination of the above component models can be employed to accurately simulate the ferroresonance system circuit. Simulation studies also revealed that the key circuit parameter to initiate transformer ferroresonance in a transmission system is the circuit-to-circuit capacitance of a double-circuit overhead line. The extensive simulation studies also suggested that the ferroresonance phenomena are far more complex and sensitive to the minor changes of system parameters and circuit breaker operations. Adding with the non-linearity of transformer core characteristics, repeatability is not always guaranteed for simulation and experimental studies. All simulation studies are carried out using an electromagnetic transient program, called ATPDraw.