Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey-Based Study of Students’ Expectations vs. Experience of Sustainability Issues in Architectural Education at Wroclaw University of Science and Technology, Poland

Sustainability is currently one of the biggest concerns in the field of architecture and civil engineering. The presented study elaborates on the students’ expectations vs. experience of sustainable and ecological design in their architectural education. Students were surveyed after the interdisciplinary Hybrid Factory Design (HFD) course carried out at the Faculty of Architecture WUST, Poland. Respondents were asked to anonymously fill in a two-part online questionnaire in the last week of the summer semester of the academic year 2020/2021. The questionnaire was composed of 30 compulsory single-choice questions and 8 optional open questions. The single-choice questions were prepared using a five-point Likert scale, ranging from 1 (negative answer) to 5 (positive answer). Additionally, the Expectation Fulfilment Rate (EFR)—an original tool developed by the authors—was used to assess students’ expectations. The conducted survey revealed a significant disproportion between students’ expectations and experience regarding sustainable and ecological design aspects. There are also knowledge gaps in certain areas that should be addressed. Topics related to urban planning, green areas design, renovation and adaptation are not sufficiently represented in the curriculum. Moreover, it is essential to provide students with a broad, cross-disciplinary overview of sustainable architecture to deepen their understanding of different design aspects.
Parametric Studies of Directed Fragmentation Warhead Used for Combat Shaped Charges

The aim of this paper is to present the results of research on the influence of fragmentation liner material parameter on spreading capabilities. A fragmentation liner is a part of a directed fragmentation warhead used to combat shaped charges and consisting of metal balls embedded in the resin. In addition, the case of the fragmentation warhead and the surrounding air were also modeled. Four variants of numerical analyses were prepared, differing in the value of maximum plastic strain characterizing the fragmentation liner. C-4 explosive was used for driving the liner fragmentation. In order to properly describe the behaviour of the fragmentation warhead, Arbitrary-Lagrangian Eulerian (ALE) and Fluid-Structure Interaction (FSI) approach was used. A three dimensional model of directed fragmentation warhead along with the fragmentation liner was prepared in MSC Patran software and numerical analyses were performed using LS-Dyna software. As a result of numerical analyses, the maximum velocity and a spreading angle in both the vertical and horizontal plane of the fragmentation liner were determined in each case.
A comparative study of high-frequency, low-profile planar transformer technologies

A study several of available technologies used to construct low-profile, planar transformers is presented. Finite element analysis is used to determine an appropriate winding configuration with low AC resistance and leakage inductance. The advantages and disadvantages of printed circuit board (PCB), flex-circuit and stamped-copper winding technologies are evaluated. The trade-offs between electrical and mechanical properties are emphasized. It is demonstrated that the secondary winding termination resistances for these transformers constitute a large percentage of the total AC resistance of the transformer. <<ETX>>
Control Structure Design for CO2‐Absorption Processes with Large Operating Ranges

Coal-fired power plants are operated flexible over a large operating range. Processes for post-combust ion CO2 capture have to follow the power plant operation load and h ave to separate the carbon dioxide in every operati ng point with minimal energy demand. In this work control structures for chemical absorption processes were designed using selfoptimizing control. The derived control structures allow the separation of 90% of CO2 over an operating range of 40 – 100% load with acceptable energy requirements
Uniplanar broad-band push-pull FET amplifiers

We report the development of completely uniplanar broadband balanced push-pull FET amplifiers using slot line and coplanar waveguide. The amplifiers employ broad-band uniplanar baluns to achieve the push-pull function over a wide bandwidth. One amplifier, designed in the unconditionally stable region, exhibits a gain of 3.5-5 dB over the frequency range of 5.4-10 GHz and an output 1-dB compression point of 19 dBm at 10 GHz. The other amplifier was designed in the potentially unstable range and achieves a high gain between 10-11 dB from 2 to 4 GHz and an output 1-dB compression point of 17 dBm at 4 GHz. These results show the feasibility of the push-pull FET amplifier configuration using uniplanar technology for microwave and millimeter-wave integrated circuits and systems.
Learning to Prevent Grasp Failure with Soft Hands: From Online Prediction to Dual‐Arm Grasp Recovery

Soft hands allow to simplify the grasp planning to achieve a successful grasp, thanks to their intrinsic adaptability. At the same time, their usage poses new challenges, related to the adoption of classical sensing techniques originally developed for rigid end defectors, which provide fundamental information, such as to detect object slippage. Under this regard, model‐based approaches for the processing of the gathered information are hard to use, due to the difficulties in modeling hand–object interaction when softness is involved. To overcome these limitations, in this article, we proposed to combine distributed tactile sensing and machine learning (recurrent neural network) to detect sliding conditions for a soft robotic hand mounted on a robotic manipulator, targeting the prediction of the grasp failure event and the direction of sliding. The outcomes of these predictions allow for an online triggering of a compensatory action performed with a second robotic arm–hand system, to prevent the failure. Despite the fact that the network is trained only with spherical and cylindrical objects, we demonstrate high generalization capabilities of our framework, achieving a correct prediction of the failure direction in 75 % of cases, and a 85 % of successful regrasps, for a selection of 12 objects of common use.
Fatigue Evaluation of Warm-Mix Asphalt Mixtures

Warm-mix asphalt (WMA) is the generic term used to refer to a group of technologies that are used to produce asphalt pavement mixtures at temperatures lower than those of traditional hot-mix asphalt (HMA). One of the potential benefits of WMA is that it provides better fatigue cracking characteristics than does HMA. The lower temperatures should reduce the aging of asphalt binders that occur during production. The reduced aging of asphalt binders should lead to improved fatigue characteristics of asphalt mixtures. The research reported here addressed two main objectives. The first was to study the impacts of three WMA technologies on the fatigue cracking resistance of HMA by using one asphalt binder and two aggregate sources. The fatigue characteristics were measured by using a uniaxial, cyclic, direct tension compression test. The second objective was to analyze the data produced by the test by using the simplified viscoelastic continuum damage approach proposed in the NCHRP 9–43 Phase I report. Three WMA technologies were used: Advera, Evotherm 3G, and Sasobit. All mixtures were produced by using a PG 64-22 virgin binder. Data showed no significant difference between HMA mixtures and WMA mixtures for each mix except for the Advera.
A Algorithm table

Input: Goal transition function h, state-goal mapping function φ, high-level action frequency m, the number of training episode N , adjacency learning frequency C, replay buffer B, training batch size B and the number of landmarks Mcov, Mnov Initialize the parameters of high-level policy θhigh, low-level policy θlow, adjacency network φ, RND networks θ, θ̄ Initialize empty adjacency matrixM Initialize priority queue Q for n = 1, . , N do Reset the environment and sample the initial state s0. t = 0. repeat if t ≡ 0 (mod m) then Sample subgoal gt ∼ π(g|st; θhigh). else Perform subgoal transition gt = h(gt−1, st−1, st) end if Collect a transition (st, at, st+1, rt) using low-level policy θlow. Calculate novelty of the state st using RND networks θ, θ̄ and update the priority queue Q. Sample episode end signal done.
The Segmented Waveguide Program for Long Wavelength Propagation Calculations.

Abstract : A computer which obtains waveguide mode solutions for very low frequencies and low frequencies (VLF/LF) is described. The program allows for multiple homogeneous segments to be specified, allowing for consideration of variations in the earth-ionosphere waveguide. Path geometry and geophysical parameters can be computed by the program. Ionospheric disturbances due to man-made or naturally events can also be modeled using the program. Keywords include: Longwave propagation, Wavelength mode, and Propagation path.
Selection of condition monitoring techniques using discrete probability distributions: A case study

The setting up of a condition monitoring program is considered a strategic decision owing to its influence on cost, safety, quality, and availability in an industrial plant. However, no previous structured analysis of the selection of condition monitoring techniques and their characteristics has been made, so further analysis is needed. This paper proposes a model for the selection of the most suitable condition monitoring technique to be set up in a subsidiary of a petrochemical plant. For this purpose, different criteria, indicators, and utility functions are defined; nine alternatives are proposed depending on the technological level of the condition monitoring program. The model applies the analytic hierarchy process to obtain a ranking of alternatives. Owing to the special characteristics of the decision, discrete probability distributions are defined. The final ranking is computed by applying the Monte Carlo method considering 2000 simulation trials. Finally, a sensitivity analysis is applied.
Measurement method of plasma current and density in atmospheric pressure plasma jet

We present a measurement method of the plasma current and density in an atmospheric‐pressure plasma generated using a quartz tube, helium gas, and copper foil electrode by applying a high RF voltage. The plasma in the form of a bullet is released as a plume or jet into the atmosphere. To study the characteristics of the atmospheric‐pressure plasma, the plasma current is measured using a current probe, and the drift velocity of plasma plume is measured using a photodetector. The current of the plasma plume is estimated by subtracting the ground line current from the power line current in the circuit. The density of plasma plume n is estimated from the plasma plume current I and the drift velocity v as I = envS, where S is the cross section of plasma plume. The density of the released plasma into the atmosphere is estimated as ∼1018 m−3 by the method. © 2015 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
Effect of Binders and Pressures on Physical Quality of Some Biomass Briquettes

The effects of biomass materials, different organic binders with varying concentrations and applied die pressures on the physical characteristics of biomass briquettes were studied. Three biomass materials (mustard stalk, mixed waste of tree leaves and grasses in 3:1 proportion and wood waste) along with three organic binding materials (molasses, press mud and distillers dry grain) with varying concentration of 5, 10, 15 and 20% were used for preparation of briquettes. The briquettes were formed at three die pressures of 123.42 MPa, 117.68 MPa and 112.34 MPa, and their relevant physical properties were determined. Press mud was found a better binding agent, followed by distillers dry grain and molasses. The physical characteristics like moisture content, bulk density, compression ratio and compressive strength desired for better utilization and safe handling and transportation were found to be best for briquettes made from press mud and mustard stalk at die pressure of 123.42 MPa.
SP Surveys for Electric and Alternative Fuel Vehicles: Are We Doing the Right Thing?

This paper analyses the practice of SP surveys for Electric Vehicles and identifies a number of their limitations. Specifically it is found that SP surveys may not represent adequately several dimensions that are relevant in the context of EV purchase such as garage ownership, second versus first car, refueling conditions, and that they often neglect transitory technologies (Plug in Hybrid) which are instead an important element in the diffusion of EVs. This paper also provides a number of recommendations for practitioners to conceive more realistic SP surveys which could increase the validity of policy recommendations formulated by economists.
A driving cycle for electrically-driven vehicles in Rome

Abstract In the research results presented here, an average driving cycle is synthesized for an electrically driven car moving in the city of Rome. The technique of Lyons et al. [1] for synthesizing a statistically representative driving cycle was used on a 5 week acquisition set of data collected with a duly equipped electric Citroen Saxo that was driven for over 3100 km by six different drivers in the months of May and June 2001 in Rome. The driving cycle developed is compared with the other available cycles, especially the European ones. The comparison highlights the need for this new dedicated cycle to represent the driving conditions of electric cars in Rome, with a lower value of the acceleration-speed product on account of the limited power of the electric vehicle, frequent changes in the acceleration sign, typical of the trafic in a big city, and a very high maximum speed, typical of the driving behaviour of the inhabitants of Rome.
The effects of collaboration on performance: a multilevel validation in project teams

Project teams are essential to organisations. Team processes - how team members manage interdependencies across time to achieve a common goal - are sensitive to changes organisations must orchestrate to adapt their functioning to technological changes, industry requirements, and market pressures. Using two samples and different work configurations, we present individual-level, team-level, and cross-level construct and predictive validity evidence regarding an instrument measuring an essential project team process: collaborative work. Consistent with theory, confirmatory factor analysis yielded a 2nd order factor structure composed of teamwork communication, synchronicity, explicit coordination, and implicit coordination. At the individual level, collaborative work is predictive of contextual and task performance. Hierarchical linear modelling revealed that aggregates indicative of team-level collaboration - team average and consensus - explain individual-level performance after controlling for individuals' collaborative behaviours. At the team level, both aggregates predict team outcome performance. Our interpretation of the current study's validity evidence casts the collaborative work questionnaire as a short self-report instrument useful across contexts. Its use could contribute to theory development by distinguishing between team processes as mediators affecting input-performance relations. In practical terms, averages and consensual information could help researchers and practitioners choose appropriate combinations of individual- and team-level solutions for improvement.
Designing guidance along audio-haptically augmented paths in a city environment

The main purpose of this thesis is to show in a case study how it is possible to inform, with Activity Theory, the design and evaluation of a pedestrian navigation system that uses audio-tactile feedback. The case study consists of an iterative design process that results in a tourist guide application used in a mobile phone. The interaction with the user is mostly through the audio and haptic modalities. The mobile phone is used as a scanning device and guides the user by means of vibrations. An auditory ambiance and recorded speech information also enriched the augmented reality experience. The tourist guide was evaluated in the real context of its use. This interaction proved to be an unobtrusive way to guide tourists to points of interest in the city. During the evaluation, several tools from the framework of Activity Theory were used. The evaluation benefited from the following: the Activity Checklist, the Activity Diamond, the hierarchical structure of activity and the extended activity framework. Activity Theory was chosen so that more than just the interaction between the user and the device/technology would be included in the evaluation. Other elements of the artifactual and natural environment were also taken into account, as well as the human environment, the object of the user’s activity and the user’s motive. Activity Theory provides a solid theoretical background when analyzing the subject’s behavior toward the technology, offering a better understanding as to how it is possible to improve the mediating technology. Other important factors for the design process have also been identified and are discussed as well. (Less)
Cultivo de flores com o uso de água residuária e suplementação mineral

This study aimed to evaluate the effect of nitrogen and potassium in production of Gerbera (Gerbera jamesonni), commercial type Rambo, using two types of water (residual of urban origin and muncipality supply water) for irrigation. The experiment was conducted in a greenhouse, at the Federal University of Campina Grande, from October 2006 to January 2007, covering a complete cycle of production. The experimental design was in a completely randomized blocks with three replications and the treatments were arranged in a 3 x 4 x 2 factorial scheme, where the factors consisted of increasing levels of nitrogen (N1 = 100, N2 = 200 and N3 = 300 mg L-1) and potassium (K1 = 100, K2 = 200, K3 = 300 and K4 = 400 mg L-1) added to a solution of phosphorus (P = 50 mg L-1) with the use of two types of water (A1 = supply A2 = residual water of urban origin). The variables monitored were: number of buttons and interval between emission of flower buds, number of flowers collected and interval between flower pickings, flower diameter and stem length. The increase of nitrogen in spite of increasing the number of buttons and reducing the interval between the emissions of flower buttons, caused negative effect on the quality of flowers produced, while the increase in potassium was beneficial. The use of wastewater resulted in significant improvement in productivity and reduction in the interval between flower pickings without significant effect on the quality of flowers produced. There were no significant interactions among the factors studied.
UAV Power Plant Performance Evaluation

Identification & evaluation of propulsion technologies helps recognize areas of future improvement in power, weight & efficiency of UAVs. A comprehensive database of propulsion systems in the 5-100 HP range would abridge the process of selecting an ideal propulsion system for an UAV in the 10-30 HP class. The intention of this project was to conduct a survey and create such a database and construct a dynamometer to perform firsthand comparison and evaluation of engine performance. Test results from BME-150, BME-116 2-stroke 2-cylinder carburetor engine are compared with a retro-fitted BME-116 2-stroke TBI engine.
Protocol for Scoping Review of Mediators of Women’s Care-seeking Behaviour During Infectious Disease Outbreaks in Sub-sahara Africa (SSA)

Globally, there continues to be a surge in infectious disease outbreaks. While old diseases are re-emerging, new ones are also emerging. This speed of emergence and re-emergence is accelerated by human development, changes in demographics, population, and the environment. We continue to see new patterns of disease infections from their natural hosts to humans, with pathogens now travelling beyond traditional vector areas and spreading to previously unaffected environments. Lessons from Ebola tell us that women and children will be disproportionately affected by infectious disease outbreaks. A mother’s health-seeking behaviour has direct implications for the health of her children and the entire family. The way women reach health decisions could be the deciding factor in whether they or their children live. The broad objective of this review of the literature is to explore, identify, and map gaps in the literature on factors resulting from infectious diseases outbreak that could impact women’s health care decision-making. The review will compare health-seeking behaviour in sub-Sahara Africa during outbreak and non-outbreak periods, to generate a comparative analysis of the health behaviour of women of reproductive age and factors impacting on their health-seeking behaviour when there is an outbreak versus no outbreak. It is anticipated to be of interest to sub-Saharan Africa governments, national and international policymakers, and researchers, seeking to expand their attention to mothers and their children’s needs in emergency preparedness.
Esprit et enjeux de l'analyse factorielle exploratoire

L’analyse factorielle exploratoire est présentée en considérant les facteurs comme des sources communes de variance exprimées dans les données et responsables des corrélations observées. Les variables ayant généralement chacune une part de variance propre, il s’y trouve ainsi plus de sources d’information qu’il n’y a de variables observées. Alors que l’analyse en composantes principales inclut nécessairement une part des variances propres (souvent de l’erreur de mesure) dans chaque composante, l’analyse factorielle exploratoire vise à expurger les variances propres pour n’expliquer que les corrélations, c’est-à-dire l’information partagée provenant de facteurs communs. Il existe maintenant une méthode de modélisation pour identifier par un test formel combien de dimensions sont nécessaires et suffisantes pour rendre compte des corrélations dans les données. L’interprétation factorielle de ces dimensions demande généralement des rotations. Les enjeux de ces rotations et de l’obtention de scores des individus sur les facteurs retenus sont également discutés. Enfin, on propose une méthode simple pour l’analyse factorielle de mesures répétées. Exploratory factor analysis is presented by viewing factors as sources of variance expressed in the data that are completely responsible for the correlations observed among the variables. Since each variable also expresses some unique variance besides that from common factors, the data express more sources of information than there are variables. While principal component analysis necessarily includes some of the unique variances (often measurement error) in each component, exploratory common factor analysis concentrates on explaining the correlations, which entirely depend on shared information from common factors, ignoring as much as possible the unique sources of variance. There is now a modelling method to identify by formal testing how many dimensions are necessary and sufficient to account for the data correlations. The factorial interpretation of these dimensions generally requires rotations. The issues involved in rotations and in obtaining factor scores for the retained factor solution are also discussed. Finally, a simple method is proposed to factor analyse repeated measurements.