Miracle-dz/UniFAR-FTUs huggingface dataset:
Use of Probe Vehicle Data to Determine Joint Probability Distributions of Vehicle Location and Speed on an Arterial Road

Monitoring traffic conditions over large road networks is a significant challenge for many transportation authorities. However, the rich data from probe vehicles that have become available in recent years can assist with such traffic monitoring. Hydrodynamic theory and horizontal queuing theory are used to derive the joint probability distribution function of vehicle location and speed on an arterial road for undersaturated and congested traffic conditions. Specifically considered are the effects of signal controllers (including deceleration, acceleration, and queuing) on the distributions of location and speed. This probabilistic model is parameterized by link parameters (red signal time, cycle time, and critical flow density), driving behavior (average deceleration and acceleration, average speed, and variation of arrival flow and dissipating flow), and traffic state (arrival flow density) obtained from historical probe data (for location and speed) with maximum likelihood estimates. In a numerical experiment with data collected from private cars in Toyota City, Japan, for the 2011 Green Project, the Kolmogorov–Smirnov test validates the use of the proposed distributions of vehicle location and speed.
Inductance calculation of high-speed slotless permanent magnet machines

Purpose – The purpose of this paper is to give a simple, fast and universal inductance calculation approach of slotless-winding machines and comparison of inductances of toroidal, concentrated and helical-winding machines, since these winding types are widely used among low-power PM machines. Design/methodology/approach – Harmonic modeling approach is applied to model the magnetic field of the windings in order to calculate the synchronous inductances. The method is based on distinction between electromagnetic properties of different regions in the machine where each region is represented by its own governing equation describing the magnetic field. The governing equations are obtained from Maxwell’s equations by introducing vector potential in order to simplify the calculations. Findings – Results of the inductances of toroidal, concentrated and helical-winding slotless PM machines, which have the same torque and dimensions, obtained by the proposed analytical method are in good agreement with 3D FEM, where the relative difference is smaller than 15 percent. However, the calculation time of the analytical method is significantly less than in 3D FEM: seconds vs hours. Additionally, from the results it is concluded that the toroidal-winding machine has the highest inductance and DC resistance values among considered machines. Helical-winding machine has lowest inductance and DC resistance values. Inductance of concentrated-winding machine is between inductance of helical and toroidal windings; however, DC resistance of the concentrated windings is comparable with resistance toroidal windings. Originality/value – In this paper the inductance calculation based on harmonic modeling approach is extended for toroidal and helical-winding machines which makes the method applicable for most of the slotless machine types.
Analysis and Simulation of a Spherical Robot

In this paper, a spherical robot with an internal mechanism for propulsion is briefly introduced. The spherical robot is actuated and steered through a couter-weight pendulum connected to the main axle, a drived motor and a steer motor. A mathematical model of the robot’s dynamic and motion is instructed. The 3D model of the robot is built by SOLIDWORKS and then exported to ADAMS for simulation. For a number of missions, it is shown experimentally that the model agrees well with the results.
Atlas of lesion locations and postsurgical seizure freedom in focal cortical dysplasia: A MELD study

Drug‐resistant focal epilepsy is often caused by focal cortical dysplasias (FCDs). The distribution of these lesions across the cerebral cortex and the impact of lesion location on clinical presentation and surgical outcome are largely unknown. We created a neuroimaging cohort of patients with individually mapped FCDs to determine factors associated with lesion location and predictors of postsurgical outcome.
Recognition of Compromised Accounts on Twitter

In this work, we propose an approach for recognition of compromised Twitter accounts based on Authorship Verification. Our solution can detect accounts that became compromised by analysing their user writing styles. This way, when an account content does not match its user writing style, we affirm that the account has been compromised, similar to Authorship Verification. Our approach follows the profile-based paradigm and uses N-grams as its kernel. Then, a threshold is found to represent the boundary of an account writing style. Experiments were performed using a subsampled dataset from Twitter. Experimental results showed that the developed model is very suitable for compromised recognition of Online Social Networks accounts due to the capability of recognize user styles over 95% accuracy.
Stable fuzzy state space controllers for an AGV

The primary focus of this paper is on the development of an intelligent control scheme which is insensitive to parametric uncertainty and load and parameter fluctuations, and, most importantly, is amenable to real-time implementation. We present a stable, uncoupled, direct fuzzy PD/PI control scheme for an outdoor automatic guided vehicle (AGV), which is a converted electrically powered golf-car. The controller performance was assessed both through simulations and experimental results. It was established that the fuzzy logic controller (FLC) yielded good performance even under uncertain and variable parameters in the model, unlike the computed torque technique (CTT) or conventional PID control. In terms of real-time implementation, the availability of custom fuzzy chips and the reduced computational complexity of the fuzzy controller, as against that of the CTT, makes the fuzzy controller an ideal choice between the two schemes.
Characterization of the Inevitable Collision States for a Car-Like vehicle

Navigation is an important aspect of mobile robotics. Recently, we see a trend in robotic systems leaving laboratories and clean rooms and moving to real world environments. At this point, it is critical to ensure the safety of the robotic system and the environment in which it moves. In this work, the topic of "safe navigation" of a robotic system in a highly dynamic environment is considered. It is suggested that the dynamics of the robotic system and of the moving obstacles must be taken into account while performing navigation. It is illustrated that the idea of using a time-horizon for calculating a navigation plan does not guarantee safety. Developing on these points as the motivation, the novel concept of Inevitable Collision States (ICS) is introduced. An inevitable collision state is a state from which any action taken by the robotic system will lead to a collision. A theoretical extension, the notion of imitating manoeuvres is proposed and proved to be efficient in calculating the ICS for a robotic system. A case study involving the characterization of the ICS for a car-like vehicle is per- formed. A polynomial complexity algorithm complexity is proposed for an efficient com- putation of the ICS. The algorithm is implemented in C++. Experimental results obtained in various environments are presented.
Normalization of the AIS (Acceptance of Illness Scale) questionnaire and the possibility of its use among cancer patients.

INTRODUCTION AND OBJECTIVE Cancer triggers many negative emotions in patients which affect the quality of life and low acceptance of the illness. The level of acceptance of illness is related to the level of pain and the degree of compliance with medical recommendations. The aim of the study is evaluation of the use of the Acceptance of Illness Scale (AIS) among people with cancer. MATERIAL AND METHODS The study involved 1,187 patients (666 women aged 21-96 (M=58.17; SD=12.88) and 521 men aged 22-96 (M=67.12; SD=13.75) diagnosed with malignant cancer under outpatient care of the Maria Sklodowska-Curie Institute - Oncology Center in Warsaw. An acceptance of illness questionnaire developed by B. J. Felton, T. A. Revensson and G. A. Hinrichsen was used. RESULTS Socio-economic (education, place of residence, income, professional status) and medical (occurrence of metastases, type of treatment used) factors affect the level of acceptance of illness by patients. Stent standards were developed to determine the level of acceptance of illness in the low-average-high categories. CONCLUSIONS The Acceptance of Illness Scale (AIS) should be used in the case of cancer patients. Assessment of the patient's acceptance of illness, as well as the factors affecting acceptance, will allow for the planning of appropriate treatment and psychotherapeutic support for specific patients, whose level of acceptance of illnes is the lowest.
Evaluation of effective electron velocity in AlGaN/GaN HEMTs

The authors have fabricated a 1.3 µm-long gate AlGaN/GaN HEMT with fT of 14.1 GHz, corresponding to a high fT × gate-length product of 18.3 GHz·µm. By analysing the relationship between the delay time and the inverse of the drain current, the effective electron velocity in the channel was evaluated to be as high as 1.2 × 107 cm/s.
Tri Circle Split Ring Resonator Shaped Metamaterial With Mathematical Modeling for Oil Concentration Sensing

In this research paper, the sensing capabilities of a tri circle split ring resonator shaped metamaterial is shown within the X-band frequency range for detection of various oil samples both theoretically and experimentally. Mathematical modelling was used to analyze the sensor efficiency for the various oil samples. A new sample holder has been made for the proposed sensor structure, and it showed significant performance. The simulated and measured transmission coefficient has been revealed in this study and monitoring the shift of resonance frequency and sensitivity of the metamaterial sensor for different oil samples. Since the dielectric constants of the oil samples differ, hence the resonance frequency is shifted. The obtained result revealed that the proposed sensor can detect a wide range of liquids, including (i) coconut and extra virgin coconut oils, (ii) olive and extra virgin olive oils, (iii) clean and waste engine oils, (iv) sunflower and canola oils. The resonance frequency has shifted to about 210, 230, 170, and 200 MHz for the above-mentioned oil samples, respectively. The sensitivity of the proposed MTM sensor is −83 dB (mg/L) which is a new analysis and quite significant as a potential sensor structure. Surface current and electric field distributions were used to deduce the sensing process. Since the recommended sensor is cheap and highly sensitive; so, it can be used in a variety of fields, such as detection of various liquids, microfluidic sensing, and industrial applications.
Landuse change detection in a surface coal mine area using multi-temporal high-resolution satellite images

Surface mining activities, exploitation of ore, and stripping and dumping of the overburden cause changes in the land cover and land use of a mine area. The area of land disturbance can be very large in the case of surface coal mining, due to the nature of the coal extraction process. Sustainable mining requires continuous monitoring of changes in land cover and land use induced by the mining activities. This is essentially important for identifying the long-term impacts of mining on theenvironment and on land cover in order to provide necessary mine closure andreclamation measures. In this sense, digital image classification provides apowerful tool for obtaining rigorous data, and reduces the cost of field measurements in time and money, particularly when dealing with large areas. Various remote sense data records and image classification techniques serve different features for numerous purposes. The selection of a suitable data and image classification method is significant for ensuring the effective use of information extracted from the satellite images, e.g. land-use classes. This paper proposes a methodology for identifying land-use change in surface coal mines using multi-temporal high-resolution satellite images. The methodology has been implemented for identifying, quantifying and analysing the spatial response of landscape to surface mining activities in the Goynuk, Bolu surface mine in Turkey, from 2004 to 2008. The methodology essentially entails (i) acquiring data, (ii) preprocessing the data, (iii)image classification using the maximum likelihood classification algorithm (iv) accuracy assessment and (v) change detection analysis depending on class-based approaches. The results show that the methodology can be utilised effectively in monitoring land-use change in surface coal mining areas. It also provides essential input for planning mine reclamation and closure activities.
Application of Constructive Alignment Principles to Engineering Education: Have we really changed?

A survey of some common engineering subjects in four Australian universities shows that despite much discussion of student-centred learning, assessment is still very heavily based on examinations. Analysis of exam questions, and other assessment tasks, using the Revised Bloom's Taxonomy, also shows that in some cases there may be significant mismatch between the stated learning objectives of subjects and the way in which students are assessed. Application of constructive alignment to design of assessment has the potential to ensure that assessment tasks reflect the learning objectives, and may help encourage academics to consider alternatives to examinations.
Development and validation of the EHS-COPD model to predict sex-specific risk of chronic obstructive pulmonary disease (COPD) in older Chinese adults: Hong Kong’s Elderly Health Service Cohort

Background No screening program is recommended for chronic obstructive pulmonary disease (COPD) in adults based on current clinical practice guidelines. Risk prediction models for COPD developed in Western settings may not be directly applicable to older Chinese adults. To evaluate the performance of an existing risk prediction model for COPD developed in a Western setting in Chinese adults and investigate whether a new risk prediction model performs better in predicting 5-year risk of COPD (EHS-COPD). Methods This study is based on 135,822 participants aged 65+ years from Hong Kong’s Elderly Health Service (EHS) cohort. We assessed the performance of an existing risk prediction model in the entire cohort, and in a random sub-sample of 91,133 participants, we recalibrated the existing model and derived a new model using extended Cox proportional hazards regression. Candidate risk predictors from the literature and the EHS cohort were considered for inclusion. Risk prediction performance, discrimination, and calibration of the newly derived models were assessed in the remaining 44,689 participants. Results The existing risk prediction model overestimated the 5-year risk of COPD in older Chinese adults (65+ years); after recalibration, it still overestimated the 5-year risk of COPD for both men and women. The new EHS-COPD risk prediction model, including time-varying factors (i.e., age and smoking status) and time-invariant factors (i.e., education level, public assistance, alcohol use, body mass index, physical activity, existing hypertension, recent falls, cognitive function, and self-rated health status), had an improved performance. For men, EHS-COPD explained 19.5% of COPD risk, the D statistic was 23.1, and Harrell’s C statistic was 0.93. The corresponding values for women were 8.5%, 21.1, and 0.93. Conclusions The existing COPD risk prediction model overpredicted COPD risk in older Chinese and could not be recalibrated to predict well. A revised prediction model using time-invariant and time-varying factors provides a better tool for identifying older Chinese adults at high risk of developing COPD.
Endothelial Adenosine Monophosphate-Activated Protein Kinase-Alpha1 Deficiency Potentiates Hyperoxia-Induced Experimental Bronchopulmonary Dysplasia and Pulmonary Hypertension

Bronchopulmonary dysplasia and pulmonary hypertension, or BPD-PH, are serious chronic lung disorders of prematurity, without curative therapies. Hyperoxia, a known causative factor of BPD-PH, activates adenosine monophosphate-activated protein kinase (AMPK) α1 in neonatal murine lungs; however, whether this phenomenon potentiates or mitigates lung injury is unclear. Thus, we hypothesized that (1) endothelial AMPKα1 is necessary to protect neonatal mice against hyperoxia-induced BPD-PH, and (2) AMPKα1 knockdown decreases angiogenesis in hyperoxia-exposed neonatal human pulmonary microvascular endothelial cells (HPMECs). We performed lung morphometric and echocardiographic studies on postnatal day (P) 28 on endothelial AMPKα1-sufficient and -deficient mice exposed to 21% O2 (normoxia) or 70% O2 (hyperoxia) from P1–P14. We also performed tubule formation assays on control- or AMPKα1-siRNA transfected HPMECs, exposed to 21% O2 or 70% O2 for 48 h. Hyperoxia-mediated alveolar and pulmonary vascular simplification, pulmonary vascular remodeling, and PH were significantly amplified in endothelial AMPKα1-deficient mice. AMPKα1 siRNA knocked down AMPKα1 expression in HPMECs, and decreased their ability to form tubules in normoxia and hyperoxia. Furthermore, AMPKα1 knockdown decreased proliferating cell nuclear antigen expression in hyperoxic conditions. Our results indicate that AMPKα1 is required to reduce hyperoxia-induced BPD-PH burden in neonatal mice, and promotes angiogenesis in HPMECs to limit lung injury.
LIGHTING AND HEALTH: CASE STUDY IN RETAIL STORES

5 LabVitrus ABSTRACT Despite the decades of research, it was only in 2002 that David Berson discovered the connection between light and a third type of photoreceptor in the retina and this was the missing link in the description of the mechanism of biological effects controlled by the light and dark cycle. This discovery revolutionized the research on the spectrum, the intensity, the duration and the type of light that affects biological responses. This work addresses the issue of non-visual impacts of human exposure to light, in an attempt to relate the quality of lighting design to health, comfort, and well-being of female retail store employees. The sample for the cross-sectional study was randomly established with female volunteers. Three groups of ten employees each were selected: street retail stores with outside contact and daily working hours (9 a.m. to 6 p.m.), shopping mall retail stores with no window facing outside, with daily working hours (9 a.m. to 6 p.m.) and evening working hours (2 p.m. to 10 p.m.). Assessment of lighting considered the occurrence of glare, color appearance of light, flexibility, and possibility of lighting control by employees. The tools to assess well-being and health were psychometric scales internationally validated by the psychiatric field to measure depression, anxiety, and stress symptoms. Assessment of sleep conditions and analysis of the activity/rest rhythm was carried by a wrist monitor with attached luximeter and the analysis of the body temperature rhythm was made by a temperature sensor, to which each participant was submitted for five consecutive days. The lighting pattern's influence on the circadian system was verified by measuring saliva melatonin and cortisol levels. The degree of satisfaction of employees and their preferences regarding work environment lighting were surveyed by applying questionnaires. Data were analyzed using Pearson correlations, ANOVA, and stepwise regression. The study concludes that it is necessary to review the stores' lighting design strategies, to seek new guidelines able to solve the possible conflicts between light oriented to sell products and that which considers the store as a workplace. The results indicates that the improper choice of fixtures and poor lighting design, can actually have negative consequences for health and also for work performance and well beingFirst paragraph
BER performance analysis and simulation for NRZ/RZ shaped APPM gamma-gamma turbulent free-space optical communication systems

Theoretical analysis as well as system simulation of a NRZ/RZ (NRZ and duty cycle 33% 50% 66% RZ) shaped APPM (2×4 and 4×4) modulated scheme for gamma-gamma distribution turbulent free-space optical communication is done. Results show lower BER in RZ scheme especially with duty cycle 33%, however the NRZ scheme has higher frequency efficiency. So both BER performance and frequency efficiency can be synthetically considered to choose a proper scheme according to simulation results.
Current Status of C&D Waste Management and Green Building Standards in Canada

The research and literature reviews in the recent years clearly noted the immense economical, social, and environmental impacts created by the construction waste. Many developed countries have developed strategies and mechanisms to reduce the landfill deposits of construction and demolition (C&D) waste. Many European countries and Japan have been practicing C&D waste management for a much longer period and have effectively increased the percentage of recycled and/or re-used wastes in C&D. Landfilling construction waste materials has been recognized as a threat to the environment, especially due to its impact on groundwater quality. In addition, many previous researchers have clearly noted the immense economical, social, and environmental impact created by the construction waste. It was noted that the amount of recycled and/or reused waste use in the Canadian construction industry is much lesser than many other developed nations. Canada recycles and/or reuses only 22% of the solid waste while Denmark recycles and/or reuses 95% of the solid waste. There are many green building rating systems and standards- such as LEED, BREEM, CASBEE, and GreenStar - in the world. The LEED standards are quite popular in Canada. Each rating system uses different methods and weights to analyze the sustainability in construction projects. Although many Canadian construction projects use the LEED `ratings' to assess sustainability, it does not have a broad focus on C&D waste. The need for comprehensive and integrated waste management mechanisms, technologies, rating systems, and policies is widely visible in Canada comparing to some European countries.
Growth and Optical Properties of the Whole System of Li(Mn1-x,Nix)PO4 (0 ≤ x ≤ 0.5) Single Crystals

A series of single crystals of Li(Mn1-x,Nix)PO4 (x = 0.00, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.08, 0.10, 0.15, 0.20, and 0.50) have been grown to large sizes up to 5 mm in diameter and 120 mm in length using the floating zone method for the first time. The comprehensive characterizations of the as-grown crystals were performed before further physical property measurements. The composition of the grown crystals was determined by energy-dispersive X-ray spectroscopy. The crystal structures were characterized by the X-ray powder diffraction method with a GSAS fitting for structural refinement, which reveals a high phase purity of the as-obtained crystals. The polarized microscopic images and Laue patterns prove the excellent quality of the single crystals. Oriented cuboids with sizes of 2.7 × 3.8 × 2.1 mm3 along the a, b, and c crystalline directions were cut and polished for further anisotropic magnetic and transparent measurements. We also first proposed a new potential application in the non-linear optical (NLO) and laser generation application for LiMPO4 (M = transition metal) materials. The optical and laser properties, such as the absorption spectra and the second harmonic generation (SHG), have been investigated and have furthermore confirmed the good quality of the as-grown single crystals.