Miracle-dz/UniFAR-FTUs huggingface dataset:
Incorporating the Safe System and sociodemographics into the built environment model of traffic safety: a transtheoretical model

In recent years, transportation engineering theory of the built environment has paid increased attention to land planning organisation and urban design in preventing traffic crashes. Empirical investigations have been conducted into the relationships between built environment factors and crash occurrence and severity. However, there is a lack of closer examination on the interactions among built environment factors and the safe system approach that is considered lbest practicer in road safety. There is also a lack of attention to how sociodemographic factors might influence built environment factors at the micro and macro level, as well as the safe system. The objective of this research was to make explicit the multiple pathways through which the built environment potentially affects risk of crash incorporating theories of the role of sociodemographics and the safe system. A transtheoretical model is proposed developed from Ewing and Dumbaughrs (2009) conceptual framework linking the built environment to traffic safety to incorporate the road safety framework of the lsafe systemr components of safe roads and roadsides, safe speeds, safe road users and safe vehicles, as well as key sociodemographics based on a review of empirical research from urban planning, transport and road safety literature. A transtheoretical model is proposed to point to the importance of future efforts integrating road safety theory into built environment planning work and engineering designs.
Medical Device Technologies: A Systems Based Overview Using Engineering Standards

The goal of this textbook is to provide undergraduate engineering students with an introduction to commonly manufactured medical devices. It is the first textbook that discusses both electrical and mechanical medical devices. The first 20 chapters are medical device technology chapters; the remaining 8 chapters are medical device laboratory experiment chapters. Each medical device chapter begins with an exposition of appropriate physiology, mathematical modeling or biocompatibility issues, and clinical need. A device system description and system diagram provide details on technology function and administration of diagnosis and/or therapy. The systems approach enables students to quickly identify the relationships between devices. Device key features are based on five applicable consensus standard requirements from organizations such as ISO and the Association for the Advancement of Medical Instrumentation (AAMI). * The medical devices discussed are Nobel Prize or Lasker Clinical Prize winners, vital signs devices, and devices in high industry growth areas* Three significant Food and Drug Administration (FDA) recall case studies which have impacted FDA medical device regulation are included in appropriate device chapters* Exercises at the end of each chapter include traditional homework problems, analysis exercises, and four questions from assigned primary literature* Eight laboratory experiments are detailed that provide hands-on reinforcement of device concepts
Bridging the gap between ACA and CBC - The relevance of task and context effects for choice simulators

at the School of Marketing/University of Technology/Sydney, Phone: +61/2 9514 3538, Fax: +61/2 9514 3535, E-Mail: Christine.Ebling@uts.edu. au Prof. Dr. Daniel Klapper is Professor of Marketing at Goethe-University Frankfurt/ Main, Zeppelinallee 29, 60325 Frankfurt/Main, Phone: +49/69 798 23-152, Fax: +49/69 798 23-167, E-Mail: dklapper@wiwi.unifrankfurt. de Bridging the Gap between ACA and CBC The Relevance of Task and Context Effects for Choice Simulators
URBAN TRAVEL DEMAND FORECASTING PROJECT PHASE I FINAL REPORT SERIES, VOLUME V. DEMAND MODEL ESTIMATION AND VALIDATION

The project attempts to provide transportation engineers and planners with the information necessary to select and use policy-oriented disaggregate behavioral travel demand models, and to assess the applicability and limits of specific alternative models. This volume is devoted to the investigations of demand, forming the core of this project. Data are collected on a sample of individual commuters in the San Francisco Bay Area before the initiation of Bay Area Rapid Transit (BART) service. BART patronage is predicted from demand models fitted to the pre-BART data. The predictions are compared with actual BART patronage, using a second survey taken after BART was in service. Attention is concentrated on work mode-choice. These studies demonstrate disaggregate travel demand forecasting to be a practical policy analysis tool. The limitations of the current generation of these models are spelled out, and suggest that considerable care is needed in their application to new mode forecasting, and in transferring models across populations.
AN INTEGRATED SHIP CONTROL SYSTEM FOR CS MANCHESTER CHALLENGE

The interactive nature of a ship in response to helm or fin stabilisers is well known and may be used to advantage to obtain roll stabilisation from the rudder. This paper describes a theoretical investigation, based on the container ship Manchester Challenge, to assess the benefits to be obtained from a fully decoupled controller; this is a controller which results in a non-interacting response of the ship, rudder exciting yaw motion only, and stabilisers controlling roll only. The method by which the controller may be synthesised is described and its implementation is discussed. A recursive equation is also developed for one of the matrix elements to demonstrate how such a controller may be realised digitally. A normal ship autopilot is included and ship yaw transient and harmonic responses are compared, with and without the decoupling system. This process is repeated for the ship roll characteristics considering a standard fin control strategy. In the case of this ship considerable advantages appear to have been obtained by adopting an integrated ship control system, both in coursekeeping and seakeeping. Order from BSRA as No. 51,933.
User's Guide for the Commercial Modular Aero-Propulsion System Simulation (C-MAPSS): Version 2

This report is a Users Guide for version 2 of the NASA-developed Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) software, which is a transient simulation of a large commercial turbofan engine (up to 90,000-lb thrust) with a realistic engine control system. The software supports easy access to health, control, and engine parameters through a graphical user interface (GUI). C-MAPSS v.2 has some enhancements over the original, including three actuators rather than one, the addition of actuator and sensor dynamics, and an improved controller, while retaining or improving on the convenience and user-friendliness of the original. C-MAPSS v.2 provides the user with a graphical turbofan engine simulation environment in which advanced algorithms can be implemented and tested. C-MAPSS can run user-specified transient simulations, and it can generate state-space linear models of the nonlinear engine model at an operating point. The code has a number of GUI screens that allow point-and-click operation, and have editable fields for user-specified input. The software includes an atmospheric model which allows simulation of engine operation at altitudes from sea level to 40,000 ft, Mach numbers from 0 to 0.90, and ambient temperatures from -60 to 103 F. The package also includes a power-management system that allows the engine to be operated over a wide range of thrust levels throughout the full range of flight conditions.
USING INFRARED IMAGING AND GROUND-PENETRATING RADAR TO DETECT SEGREGATION IN HOT-MIX OVERLAYS

Segregation of any type is a serious problem in hot-mix asphalt and typically leads to poor performance, poor durability, shorter life, and higher maintenance costs. This project focused on using both infrared (IR) imaging and ground-penetrating radar (GPR) to evaluate the uniformity of newly placed hot-mix overlays. Both techniques provide a distinct advantage over existing nuclear techniques in that they provide 100% coverage of the new surface. In this project IR and GPR measurements were made in test sections on four newly placed asphalt overlays. Cores were taken where anomalies were detected in the mat. These cores were returned to the laboratory to identify changes in both the volumetric and engineering properties. Analysis showed that significant changes in both IR and GPR values are related to changes in hot-mix properties, primarily air void content. Based upon current Texas Department of Transportation (TxDOT) specifications significant changes in the hot-mix asphalt are expected if temperature changes of greater than 25 deg F are measured in the field. If the surface dielectric changes by more than 0.8 for coarse-graded mixes and 0.4 for dense-graded materials, significant changes in mix properties are expected. The approach used in Finland to use a calibration core to convert GPR surface dielectric to mat air void contents worked well. TxDOT should consider future implementation of these technologies. Neither of the devices used in this project was thought optimal for full implementation. The research team has provided schematics and recommendations for future implementation efforts.
Analysis of Images and EMOJI’s for Sentiment Detection

Analysis of images and emoji’s are quite important in the today’s growing digital world. On an average there are millions of pictures and emoji symbols used in many of the digital platforms like FB, Twitter, Instagram. This makes the service provider creating an anxiety in determining the kind of images that are being used by the applicants. Not only for service providers, there is an anxiety for an average man to find, out of curiosity to determine what are the comments and emoji’s being used by the people who viewed his/her photo which is being posted in social media platform. For that purpose, we see preferable and easy method for identifying the type of emotion a reviewer is willing to express for a photo that is posted. AlexNet is a model which is trained using many sets of image data and can be used in the classification along with Deep Convolutional Neural Networks. Deep learning helps in prediction of emotions given a picture. Training has to be performed before the prediction of new images and emoji’s, so we train an visual sentiment classifier which not only helps in sentiment capture but also the type of environment based on a photo taken.
Key Drivers of University-Industry Relationships: and the impact of organisational culture difference

I TABLE OF CONTENTS.III LIST OF TABLES, FIGURES AND ABBREVIATIONS . VII STATEMENT OF DECLARATION.IX PUBLICATIONS FROM THIS THESIS SINCE ENROLMENT . X ACKNOWLEDGEMENTS. XII CHAPTER ONE INTRODUCTION. 1 1.1. Background to the Research . 1 1.2. Research Context . 3 1.2. 1. Demarcation of the Research Area Relationship Marketing . 4 1.2. 2. Demarcation of the Research Area University-Industry Relationships 7 1.3. Research Problem . 8 1.4. Contribution of the Research . 9 1.5. Outline of the Thesis . 12 CHAPTER TWO RELATIONSHIP MARKETING. 14 2.
Automatic phased mission system reliability model generation

There are many methods for modelling the reliability of systems based on component failure data. This task becomes more complex as systems increase in size, or undertake missions that comprise multiple discrete modes of operation, or phases. Existing techniques require certain levels of expertise in the model generation and calculation processes, meaning that risk and reliability assessments of systems can often be expensive and time-consuming. This is exacerbated as system complexity increases. This thesis presents a novel method which generates reliability models for phasedmission systems, based on Petri nets, from simple input files. The process has been automated with a piece of software designed for engineers with little or no experience in the field of risk and reliability. The software can generate models for both repairable and non-repairable systems, allowing redundant components and maintenance cycles to be included in the model. Further, the software includes a simulator for the generated models. This allows a user with simple input files to perform automatic model generation and simulation with a single piece of software, yielding detailed failure data on components, phases, missions and the overall system. A system can also be simulated across multiple consecutive missions. To assess performance, the software is compared with an analytical approach and found to match within 5% in both the repairable and non-repairable cases. The software documented in this thesis could serve as an aid to engineers designing new systems to validate the reliability of the system. This would not require specialist consultants or additional software, ensuring that the analysis provides results in a timely and cost-effective manner.
Deep Learning-Based Emotion-Sensitive Learning Cognitive State Analysis

The cognitive state of a student is unique and exciting . The current developments in deep learning gives an unparalleled chance to analysts to assess the cognitive state. But most of the existing cognitive state strategies centre around attention, overlooking the importance of emotions in humans. Human feelings play a huge role in the computer vision industry and numerous researches are performed with its assistance. Hence, our aim is to propose a cognitive state investigation system which is emotion sensitive. It will consequently assess the students' attention based on head posture and emotion recognized from the face detection in an unobtrusive way. The system presented is an implementation of multiple tasks learning cascaded with a convolutional neural network (CNN), introduced for detecting expression, locating landmarks, and estimating head pose all at a time. The expression detection and landmark location help in alignment of the face. The estimation of head pose and face alignment are further used to evaluate the leaner’s attention. Exploratory outcomes show that this technique can obtain students’ emotion with an accuracy of 94%.
SME mining reference handbook

SME Mining Reference Handbook. Engineers are often called on to answer technical questions and solve problems while in the field. It's not always feasible. Resources for Mining Engineering. SME Mining Engineering Handbook, 2 vols. , 2011 Mining and Rock Construction Technology Desk Reference, 2011. SME mining engineering handbook / edited by Peter Darling. Mining The Springer Reference Work Handbook of Manufacturing Engineering and Technology.
Foreign Aid and Landmine Clearance: Governance, Politics and Security in Afghanistan, Bosnia and Sudan

In the decade since the signing of the Ottawa Treaty, which banned the production and use of anti-personnel mines, governments have spent over $3 billion on clearing up and mitigating the security threat of mines, cluster munitions and other unexploded ordnance in the world’s current and former war zones. However, this flow of cash into regions dominated by violent social structures raises numerous political issues. Through detailed archival and field research, this book explores the politics behind the allocation and implementation of foreign aid by the US and Norway for demining in Afghanistan, Bosnia and Sudan. It is an essential resource for practitioners and policymakers working in the field of landmine clearance and for students and researchers of development studies and post-war reconstruction. (This is an extract from the book)
Enhancing Safety by Augmenting Information Acquisition in the Driving Environment

According to the National Center for Statistics (NCSA), over 6 million motor vehicle crashes occurred in the United States in 2006. These crashes resulted in 42,642 deaths and approximately 2.6 million injuries. Many of these crashes result from a mismatch between the attentional and perceptual capabilities of drivers and the demands of the driving environment. A recent naturalistic study monitored 100 drivers in their own vehicles for 1 year and found that approximately 85% of the crashes and near crashes resulted from some attentional failure, including fatigue and distraction. These data demonstrate a fundamental problem that plagues driving safety: People have evolved to 2-10 mph locomotion, but not the demands of 20-100 mph locomotion. This mismatch leads to circumstance in which the demands of driving exceed the capacity of the driver to respond. Recent advances in sensor and computing technology may reduce these mismatches by augmenting the driver’s ability to acquire relevant information. For example, radar-based sensors can scan the road ahead and detect cars that might pose a hazard to the driver, and algorithms can process these data to deliver a warning to help the driver avoid an impending collision. However, achieving the promise of such systems is far from certain.
Detection of Structural Vibration with High-Rate Precise Point Positioning: Case Study Results Based on 100 Hz Multi-GNSS Observables and Shake-Table Simulation

This contribution presents and assesses the methodology aiming at the characterization of the structural vibrations with high-rate GNSS measurements. As commonly employed precise point positioning (PPP) based on ionosphere-free linear combination of undifferenced signals may not meet the high requirements in terms of displacement precision, a modified processing strategy has been proposed. The algorithms were implemented in the own-developed GNSS processing software and validated using the designed experiment. For this purpose, we have set up a field experiment taking advantage of the prototype shake-table, which simulated the dynamic horizontal displacements of the GNSS antenna. The device ensured a periodic motion of the antenna with modifiable characteristics, namely amplitude and frequency. In this experiment, we have set the amplitudes from 1.5 to 9 mm and the frequency to 3.80 Hz. As a dataset, we have used 100 Hz GPS, Galileo, and BDS measurements. The results confirmed a high applicability of the enhanced PPP processing strategy for precise displacement detection. Specifically, it was feasible to obtain the dynamic displacements with precision at the level of millimeters. The differences between the PPP-derived amplitude and the true amplitude of the simulated displacements were in the range of 0.5–1.3 mm, whereas the difference between the detected and benchmark frequency did not exceed 0.026 Hz. Hence, the proposed methodology allows meeting the specific demands of structural displacement monitoring.
Applied element method‐based blast‐resistant design of façade columns with limited standoff distance

Exterior columns are highly susceptible to structural damage in cases of blast attacks, and its failure may lead to a progressive collapse of the entire structure. In this study, a three‐dimensional nonlinear dynamic analysis was carried out on a 10‐Storey reinforced concrete office building. The building was designed according to ACI 318, then its exterior columns were subjected to blast loading threat. The computational program used is Extreme Loading for Structures software, which is based on the applied element method (AEM). The AEM can estimate the structural behavior from the elastic stage through cracking, large displacement, complete elements separation, and eventually collapse. In this study, an exterior column is analyzed under different weights of (TNT) detonation charges concerning different standoff distances, the behavior of the columns is evaluated according to UFC 3‐340‐02 and PDC‐TR 06‐08. Analysis trials are carried out to estimate a safe and economical column design that can withstand a predefined charge weight and standoff distance.
Intra-individual behavioural and neural signatures of audience effects and interactions in a mirror-game paradigm

We often perform actions while observed by others, yet the behavioural and neural signatures of audience effects remain understudied. Performing actions while being observed has been shown to result in more emphasized movements in musicians and dancers, as well as during communicative actions. Here, we investigate the behavioural and neural mechanisms of observed actions in relation to individual actions in isolation and interactive joint actions. Movement kinematics and EEG were recorded in 42 participants (21 pairs) during a mirror-game paradigm, while participants produced improvised movements alone, while observed by a partner, or by synchronizing movements with the partner. Participants produced largest movements when being observed, and observed actors and dyads in interaction produced slower and less variable movements in contrast with acting alone. On a neural level, we observed increased mu suppression during interaction, as well as to a lesser extent during observed actions, relative to individual actions. Moreover, we observed increased widespread functional brain connectivity during observed actions relative to both individual and interactive actions, suggesting increased intra-individual monitoring and action-perception integration as a result of audience effects. These results suggest that observed actors take observers into account in their action plans by increasing self-monitoring; on a behavioural level, observed actions are similar to emergent interactive actions, characterized by slower and more predictable movements.
The effectiveness of extracorporeal shock wave therapy to reduce lower limb spasticity in stroke patients: a systematic review and meta-analysis

ABSTRACT Objective: To assess the effectiveness of Extracorporeal Shock Wave Therapy (ESWT) to reduce lower limb spasticity in adult stroke survivors. Data Sources: A systematic review of Medline/Pubmed, CENTRAL, CINAHL, PEDro database, REHABDATA, Scielo, Scopus, Web of Science, Trip Database, and Epistemonikos from 1980 to December 2018 was carried out. Review Methods: The bibliography was screened to identify clinical trials (controlled and before-after) that used ESWT to reduce spasticity in stroke survivors. Two reviewers independently screened references, selected relevant studies, extracted data, and assessed risk of bias by PEDro scale. The primary outcome was spasticity. Results: A total of 12 studies (278 participants) were included (5 randomized controlled trials, 1 controlled trial, and 6 before-after studies). A meta-analysis was performed by randomized controlled trials. A beneficial effect on spasticity was found. The mean difference (MD) was 0.58; 95% confidence interval (CI) 0.30 to 0.86 and also in subgroup analysis (short, medium, and long term). The MD for range of motion was 1.81; CI −0.20 to 3.82 and for lower limb function the standard mean difference (SMD) was 0.34; 95% CI −0.09 to 0.77. Sensitivity analysis demonstrated a better beneficial effect for myotendinous junction. MD was 1.5; 95% CI −2.44 to 5.44 at long-term (9 weeks). Conclusion: The ESWT (radial/focused) would be a good non-invasive rehabilitation strategy in chronic stroke survivors to reduce lower limb spasticity, increase ankle range of motion, and improve lower limb function. It does not show any adverse events and it is a safe and effective method.