Miracle-dz/UniFAR-FTUs huggingface dataset:
'CFD FOR THE AERODYNAMIC DESIGN OF BOMBARDIER'S GLOBAL EXPRESS® HIGH PERFORMANCE JET"

In this paper the studies that led to the development of the aerodynamic configuration of the Global Express are described. Emphasis is put on the methodology, in particular the role of CFD and wind tunnel testing in the design of the transonic wing and its high-lift system, and in the integration of the turbofan engines with the aft fuselage.
Use of Natural Language Processing in Software Requirements Prioritization – A Systematic Literature Review

Purpose: Research involves the creation and implementation of new ideas by keeping the existing work as a foundation. The literature review done in this paper is to familiarise and to know about the domain of research to integrate the existing ideas with the new ones. Methodology: The literature that is required for this study is chosen from multiple secondary sources such as journals, conference proceedings, and web resources. All the pieces of literature are carefully studied and summarised. This is further used to arrive at Research agendas and Research gaps. Findings/Result: It has been observed and understood that Natural Language Processing (NLP) is a field involving analysis and processing of textual contents. It also requires Machine Learning Algorithms to support the processing. This combination has already been used in various domains, the important one being the health sector. EMR data is huge and NLP can successfully process and prioritize them in different dimensions. In that direction, the same concept and technology can be applied to Software Engineering also and Requirements can be prioritized. Originality: This literature review study is carried out using secondary data which is collected through various online sources. The information thus gathered will be used in the future to build upon existing theory and framework or build a new methodology. It is also seen that any conclusion or decision is not biased or unidirectional. A sincere effort is made to identify a research topic to carry out the research. Paper Type: Literature Review.
Situating Eidetic Photomontage In Contemporary Landscape Architecture

Photomontage is a pervasive method of representation in landscape architecture used frequently in both educational and professional settings. Despite the proliferation of and widespread technical proficiency for creating photomontage, there has been relatively little discussion about the important nuances that distinguish photo-realistic simulations from conceptual collage compositions. By examining the breadth of contemporary work and its theoretical and historical basis, the authors delve deeply into an analysis of the most abstract and conceptual type of photomontage, which they term eidetic photomontage. As a means of addressing criticisms of eidetic photomontage they draw examples from landscape architecture professionals and students to identify common compositional strategies and communicative strengths. The article concludes with a discussion of how eidetic photomontage is valuable to landscape architects for enriching creative process, inviting dialogue, and exploring highly speculative proposals.
Closely Spaced Two-Element Folded-Dipole-Driven Quasi-Yagi Array

This paper presents a closely spaced two-element folded-dipole-driven quasi-Yagi array with low mutual coupling between adjacent elements. The antenna utilizes a T-junction power divider as the feeding network, with an input impedance of 50 Ω. A microstrip-stub is added to the ground plane in the middle of the two elements to improve the mutual coupling characteristics. The folded dipole driver is connected to a 50 Ω microstrip line via a broadband microstrip-to-coplanar stripline transition with a quarter radial stub. A mutual coupling of less than ? 22 dB is measured between two folded-dipole-driven quasi-Yagi antennas with a center-to-center spacing of 30 mm (0.55 λ 0 at 5.5 GHz). The proposed quasi-Yagi array yields a measured bandwidth of 4.75～6.43 GHz for the ? 10 dB reflection coefficient and a gain of 6.14~7.12 dBi within the bandwidth range.
Optical generation of millimeter-wave signals for fiber-radio systems using a dual-mode DFB semiconductor laser

This paper presents a new approach to the optical generation of millimeter-wave signals using a dual-mode multisection distributed feedback semiconductor laser. This simple device is capable of generating high power signals between 40 and 60 GHz with extremely high spectral purity and stability. The two optical modes produced by this laser are heterodyned on an ultrafast photodiode to give a beat signal at the mode difference frequency. The phase noise of the beat signal is greatly reduced by phase-locking the modes using an electrical drive signal applied to the laser at a subharmonic of the beat frequency. Millimeter-wave signals are obtained with a linewidth of less than 10 Hz, a phase noise of less than -85 dBc/Hz at 100 kHz offset, and a locking range of about 500 MHz. Millimeter-wave fiber-radio systems are seen as a major application area for these new compact optical sources. >
A Bibliometric Study on Eye-Tracking
Research in Tourism

The purpose of this paper is to determine the position of eye-tracking studies in the tourism literature and to provide a panoramic perspective of social and intellectual structures of eye-tracking studies in tourism. Bibliometric methods have been used to analyze 64 studies published from 2013 – 2019. Descriptive, network, and cluster analyses were applied in the R statistics program. The annual growth rate on eye-tracking research in tourism was 38.31%. Most of the authors preferred to cite articles from tourism journals. Effective researchers preferred to use “eye-tracking” and “visual attention” as author keywords in their research. Most of the studies took place in a laboratory environment. The studies discussed many dimensions such as culture, language, website design, advertising strategies, satisfaction, and usability. However, the effect of marketing and behavior studies is remarkable. Institutions and countries with close geographical links tended to publish together, but countries such as the USA, the UK, China, and Australia come to the fore in the collaboration network. Scopus-indexed English publications, most of which are articles, and proceedings were analyzed. Future studies may use different academic databases and publication types. This study is one of the first bibliometric analyses of eye-tracking studies in tourism.
Driving Automated Open-Architecture Testing: An Operational Profile Model-Development Strategy

Abstract : The ability to automate the testing of software is critical in the successful acquisition of future Open Architecture (OA)-based weapon and combat systems. In the OA environment, software modules are reused in different environments, and systems are highly modular in nature. These situations result in increased numbers of potential software configurations. As configurations change and OA software is put in new environments, the potential for finding or creating new bugs increases. The concept of using an operational profile -- or environment model that generates inputs to an OA software module -- based on probabilistic distributions to assist in the automated testing process is critical for catching such bugs. This paper describes an ongoing research effort on operational profile models, presents a summary of prior relevant work, and outlines an initial strategy for developing and implementing the operational profile model concept. Following the model acquisition approach, a recommendation for future work is presented.
ATTITUDE ESTIMATION OF THE DELFI-n3Xt SATELLITE

This paper presents current developments of the attitude determination algorithm for Del¦-n3Xt, TU Delft next nanosatellite. Several novel quaternion filters using Sun vector and Earth magnetic field measurements and rate gyro outputs are presented. The quaternion measurement matrix associated with each line-of-sight measurement is shown to be rank deficient. This property is exploited in order to design reduced order measurement update stages in the filters. The measurement model reduction is designed such as to preserve the statistical information. The filter covariance propagation can cope rigorously with the multiplicative process noises. The paper also describes the development of the Sun vector determination algorithm, which merges the outputs of 6 body-mounted four-quadrant Sun sensors. For each sensor, a simple algorithm allows Sun vector determination while avoiding the use of uncertain physical parameters. This algorithm takes into account geometrical imperfections linked to manufacturing limitations. A thorough error analysis of the photodiodes measurement outputs is carried out. A spacecraft Sun vector determination algorithm is proposed and illustrated, in the absence of Earth albedo effect, via Monte-Carlo simulations and experimental validation. In addition, extensive Monte-Carlo simulations illustrate the good performances of the quaternion filters using spacecraft Sun vector and Earth magnetic field measurements. The novel reduced filter shows good performances in a challenging tumbling dynamics environment, where a standard additive Kalman filter fails to converge.
The Effect of the Use of the Simulation Leadership Training Software VLeader on the Leadership Aptitude Scores of Undergraduate College Students in the Communications Media Program at Indiana University of Pennsylvania

The traditional classroom experience in higher education is evolving. The number of college students taking at least one online course is growing. This change is forcing educators to reevaluate their teaching goals and choose appropriate educational tools to accomplish those goals. One of the most popular new tools for the virtual classroom is digital educational simulations. Researchers have been studying the use and effectiveness of simulations in education for decades. Today, advances in technology have made digital (or computerized) simulations even more popular due to their ability to use multimedia tools to dramatically simulate real world environments. The focus of simulation research in the future is centered on the actual effectiveness of these simulations to achieve educational objectives. This study utilizes award-winning, educational leadership simulation software VLeader in order to test the effects of leadership simulation training on the leadership aptitude test scores of college undergraduate students. The amount of practice time spent on the simulator is also used to discuss test performance. Finally, the effect of the simulation training software on demographic groups including: gender, age, class rank, and GPA are discussed.
Detecting Insider Threat from Behavioral Logs Based on Ensemble and Self-Supervised Learning

Recent studies have highlighted that insider threats are more destructive than external network threats. Despite many research studies on this, the spatial heterogeneity and sample imbalance of input features still limit the effectiveness of existing machine learning-based detection methods. To solve this problem, we proposed a supervised insider threat detection method based on ensemble learning and self-supervised learning. Moreover, we propose an entity representation method based on TF-IDF to improve the detection effect. Experimental results show that the proposed method can effectively detect malicious sessions in CERT4.2 and CERT6.2 datasets, where the AUCs are 99.2% and 95.3% in the best case.
Advanced hybrid neural network automotive friction component model for powertrain system dynamic analysis. Part 1: Model development

Abstract An accurate and easy-to-implement dynamic friction component model is necessary for powertrain system design and performance studies. A neural network approach developed by Cao et al. [1] for friction component modelling has illustrated some very promising results. However, this model has complex architecture that may lead to reduced training efficiency; also, owing to the lack of time information, the network cannot adapt to time step variations. Therefore, it cannot be easily integrated with powertrain system models, which in general require variable time steps for superior numerical integration performance. In this paper, a new first-principle-based hybrid network friction component model, the advanced hybrid neural network (AHNN), is derived for dynamic engagement analysis with variable time steps. With improvement over the previous work by Cao et al. [1], the time pattern information is added to the inputs and a simpler architecture is developed through more explicit utilization of the physical laws. With these new features, the AHNN model can significantly out-perform the previous approach. The network is trained and tested using experimental data as well as analytical results. It is shown that this new model can compensate for time step variations and can predict the friction component torque accurately for a wide range of operating conditions. This is Part 1 of a two-part paper. In Part 2, the AHNN friction component model is integrated with a powertrain model and implemented for system simulations.
The Effects of 8-Week Resistance and Endurance Trainings on Bone Strength Compared to Irisin Injection Protocol in Mice

Background: Osteoporosis is a prevalent elderly complication that is characterized by decreased bone mineral density and increased fracture risk because of dysregulation in bone mineralization and resorption. Physical activity can enhance bone strength by exerting mechanical forces and myokines. Irisin is a myokine that is increased following physical exercise and can affect bones. In this study, 8 weeks of resistance and endurance exercises are applied in mice compared to irisin injection to assess the contribution of the protocols and this myokine to bone strength. Materials and Methods: Thirty-five male NMRI mice were separated into five groups; control, placebo, irisin injection, resistance exercise, and endurance exercise. 8-week of exercise protocols and irisin injection protocol (100 μg/kg/week) was applied. Plasma irisin concentration and bone strength were measured using enzyme-linked immunoassay and 3-point bending assay, respectively. Statistical analyses were done through one-way ANOVA and Tukey test, and P < 0.05 was considered the significant difference. Results: Serum irisin concentration and bone strength in resistance exercise and irisin-injected groups were significantly higher than control and placebo groups (P < 0.0001). Serum irisin concentration, but not bone strength, of the endurance exercise group was also significantly higher than control and placebo groups (P < 0.0001) but lower than resistance and irisin-injected groups. Conclusion: Resistance exercise and irisin injection, but not endurance exercise, are likely to be effective in increasing bone strength. There may be a threshold for plasma irisin level to affect bones which the applied protocols of irisin injection and resistance exercise but not endurance exercise can reach.
Reinforcing Impact Factor of a Vendor as an Indirect Measure of Quality in Vendor Selection Problem: A Study Through Simulation

Abs tract: A Vendor Selection Problem generally cons is t s of four steps: problem definition, formulation of criteria, qualification of s uitable vendors and final s election [De Boer et al. (2001)]. Impact factor has been introduced only recently [(Kaur and Chakraborty (2007)] as an indirect measure of quality and defined as the ratio of number of offers p e r yea r that a certain vendor gets divided by the number of different types of goods produced per year by him/her. Higher impact factor carries greater weightage. A fuzzy-s tatis tical comparative cas e s tudy was presented in the introductory paper where it was found that the ve ndor who got the highes t allocation was the one who had the highest impact factor. Accordingly it was argued that in situations where figures for % defects (which is how quality is generally expressed) are not available or the customer does not consider them as reliable as claimed by the vendors or even if they are av ailable and reliable, the customer wants a quality assurance over and above what is claimed by the vendor, it might be worthwhile to use impact factor as an in d irect measure of quality. However, as it was only one case study, we decided to conduct several such studi es through Monte Carlo si mulation to substanti ate matters . This is precis ely what is done in the pres ent paper.
Low-complexity direct-detection optical OFDM systems for high data rate communications

A possible approach to maximize the data rate per wavelength, is to employ the high spectral efficiency discrete multitone (DMT) modulation. The work presented in this thesis mainly focuses on optimizing the power consumption and cost of DMT, that are the major obstacles to its market development. Within this context, we have first developed novel techniques permitting to discard the use of Hermitian symmetry in DMT modulations, thus significantly reducing the power consumption and the system cost. We have next proposed an asymmetric linear companding algorithm permitting to reduce the optical power of conventional DCO-OFDM modulation with a moderate complexity. A new VCSEL behavioural model based on the use of the VCSEL quasi-static characteristic was also developed to accurately evaluate the VCSEL impact on DMT modulations. Finally, we have built an experimental system to experimentally validate our proposed techniques. Several simulations and measurement results are then provided.
Short‐course daily isoniazid and rifapentine for latent tuberculosis infection in people living with HIV who received coformulated bictegravir/emtricitabine/tenofovir alafenamide

Short‐course preventive therapy with 1‐month course of daily administration of isoniazid (300‐mg) plus rifapentine (600‐mg) (1HP) and 3‐month course of weekly administration of isoniazid (900‐mg) plus rifapentine (900‐mg) (3HP) has higher completion rates than 9‐month course of daily isoniazid (9H) for individuals with latent tuberculosis infection (LTBI). We aimed to evaluate the effect, safety and tolerability of 1HP in people living with HIV (PLWH) and LTBI who received coformulated bictegravir/emtricitabine/tenofovir alafenamide (BIC/FTC/TAF).
Evaluating Alternative Temporal Survey Designs for Monitoring Wetland Area and Detecting Changes Over Time in California

Evaluation of wetland extent and changes in extent is a foundation of many wetland monitoring and assessment programs. Probabilistic sampling and mapping provides a cost‐effective alternative to comprehensive mapping for large geographic areas. One unresolved challenge for probabilistic or design‐based approaches is how best to monitor both status (e.g., extent at a single point in time) and trends (e.g., changes in extent over time) within a single monitoring program. Existing wetland status and trends (S&T) monitoring programs employ fixed sampling locations; however, theoretical evaluation and limited implementation in other landscape monitoring areas suggest that alternative designs could increase statistical efficiency and overall accuracy. In particular, designs that employ both fixed and nonfixed sampling locations (alternately termed permanent and temporary samples), termed sampling with partial replacement (SPR), are considered to efficiently and effectively balance monitoring current status with detection of trends. This study utilized simulated sampling to assess the performance of fixed sampling locations, SPR, and strictly nonfixed designs for monitoring wetland S&T over time. Modeled changes in wetland density over time were used as inputs for sampling simulations. In contrast to previous evaluations of SPR, the results of this study support the use of a fixed sampling design and show that SPR may underestimate both S&T.
Differential Effects of Exercise on fMRI of the Midbrain Ascending Arousal Network Nuclei in Myalgic Encephalomyelitis / Chronic Fatigue Syndrome (ME/CFS) and Gulf War Illness (GWI) in a Model of Postexertional Malaise (PEM)

Background: Myalgic Encephalomyelitis / Chronic Fatigue Syndrome (ME/CFS), Gulf War Ill-ness (GWI) and control subjects had fMRI during difficult cognitive tests performed before and after submaximal exercise provocation (Washington 2020). Exercise caused increased activation in ME/CFS but decreased activation for GWI in the dorsal midbrain, left Rolandic operculum and right middle insula. Midbrain and isthmus nuclei participate in threat assessment, attention, cognition, mood, pain, sleep, and autonomic dysfunction Methods: Activated midbrain nuclei were inferred by re-analysis of data from 31 control, 36 ME/CFS and 78 GWI subjects using a seed region approach and the Harvard Ascending Arousal Network. Results: Before exercise, control and GWI had greater activation during cognition than ME/CFS in left pedunculotegmental nucleus. Postexercise ME/CFS had greater activation than GWI for midline periaqueductal gray, dorsal and median raphe, and right midbrain reticular formation, parabrachial complex and locus coeruleus. The change between days (delta) was positive for ME/CFS but negative for GWI indicating reciprocal patterns of activation. Controls had no changes. Conclusions: Exercise caused opposite effects with increased activation in ME/CFS but decreased activation in GWI indicating different pathophysiological responses to exertion and mechanisms of disease. Midbrain and isthmus nuclei contribute to postexertional malaise in ME/CFS and GWI.
Evaluation Flame Retardancy of Epoxy Composite by Using Design of Experiments

The present research aimed to study the possibility to increasing flame retardancy of polymeric composite materials reinforced by fibers by coating by a flame retardant layer represent antimony tetroxide (Sb4O6) as a coating layer (4mm) thickness to react and prevent spread of flame on surface of composite material consist of epoxy resin reinforced by Kevlar fibers and exposed this coating layer to oxyacetylene flame with different exposure intervals (10,15,20mm) and study the range of resistance of flame retardant material layer to the flames and protected the substrate . The experimental results show that a great increment in thermal resistance and flame retardancy after coating by tetroxide as well as rising flame resistance increased exposure distances to flame . Determination the percentage contribution effects of main factors were time , exposure interval ,and noise variables (error) to the variability of the surface temperature at significant level (α=0.05) . Results show that the percentage of main factors were :time=63.15% , exposure interval=14.81% and noise variables=22.04%.
Progress of Statutory Adjudication as a Means of Resolving Disputes in Construction in the United Kingdom

This paper reports on a longitudinal study on the progress of statutory adjudication in the United Kingdom since its commencement in 1998. This study was carried out by the Adjudication Reporting Centre at Glasgow Caledonian University and it considers the statistical data provided by both Adjudicator Nominating Bodies and adjudicators themselves. Various trends are shown and reasons explored. These trends include the growth in adjudication referrals, numbers of adjudicators, causes of disputes, sums of money in dispute, seasonal trends, monitoring of adjudicators’ performance, procedures adopted, time limits, fees, etc. There is evidence that the disputes, while still predominantly about payment and valuation issues, are becoming larger and more complex. The impact of statutory adjudication on other forms of dispute resolution is considered.