Miracle-dz/UniFAR-FTUs huggingface dataset:
Development and Evaluation of a Fluctuating Plume Model for Odor Impact Assessment

For environmental odor nuisance, it is extremely important to identify the instantaneous concentration statistics. In this work, a Fluctuating Plume Model for different statistical moments is proposed. It provides data in terms of mean concentrations, variance, and intensity of concentration. The 90th percentile peak-to-mean factor, R90, was tested here by comparing it with the experimental results (Uttenweiler field experiment), considering different Probability Distribution Functions (PDFs): Gamma and the Modified Weibull. Seventy-two percent of the simulated mean concentration values fell within a factor 2 compared to the experimental ones: the model was judged acceptable. Both the modelled results for standard deviation, σC, and concentration intensity, Ic, overestimate the experimental data. This evidence can be due to the non-ideality of the measurement system. The propagation of those errors to the estimation of R90 is complex, but the ranges covered are quite repeatable: the obtained values are 1–3 for the Gamma, 1.5–4 for Modified Weibull PDF, and experimental ones from 1.4 to 3.6.
What is the purpose of studying history? Developing students’ perspectives on the purposes and value of history education

This paper reports on an intervention study conducted with the A level students whom I teach at a sixth form college in the north-west of England. The study aimed to survey the students’ perceptions of the purposes of history education, and to broaden their understanding of the debate. The study drew upon data from 82 online forum posts from 41 history A level students. It consisted of two stages: the first surveyed students’ initial perceptions of the purposes of history education; the second aimed to further develop students’ perceptions through the deployment of stimulus material and activities designed to broaden students’ understanding of the issue. Following these activities, students’ perceptions were surveyed for a second time to facilitate comparison. The study data indicate that students who have chosen to pursue their historical studies to a higher level tend to appreciate the intrinsic value of knowing history (as opposed to its extrinsic value, such as developing transferable skills or for the sake of employability). The study also indicates that students’ perceptions of the purpose and value of historical study can be significantly altered by teacher intervention, although the long-term impact remains unassessed.
What Motivates People to Correct Misinformation? Examining the Effects of Third-person Perceptions and Perceived Norms

ABSTRACT Studies have suggested that rumors may ultimately be “self-corrected” by online crowds. Following the previous literature, we explored how two perceptual factors, including the third-person perception (TPP) and perceived norms, predict people’s intentions to correct misinformation online. Our findings show that people’s corrective intentions are positively associated with both factors. While previous scholarship typically understands corrective actions as outward behaviors that identify “other people” as the subjects of correction, our study reveals that TPP and perceived norms also associate with misinformation spreader’s intentions to self-correct. Implications of these findings to the literature of corrective actions and misinformation are discussed.
The impact of heterogeneous salt velocity models on the gross rock volume estimation: an example from the Santos Basin pre-salt, Brazil

The thick and heterogeneous salt section in the Santos Basin, offshore Brazil, imposes great challenges in accessing the pre-salt hydrocarbon reservoirs, especially in relation to seismic imaging, signal quality and depth positioning. Some problems arise from the current velocity models for the salt section, which, for the majority, assume that the salt is a homogeneous halite layer. In the Santos Basin, the commonly assumed salt – halite – only makes up to 80% of the mineral in this section. The inclusion of other salts as stratification in the velocity models, based on seismic attributes, has achieved good results in the last decade, especially for depth resolution. In this work, we analyse the benefits of different velocity models, considering presence/absence of salt stratification and comparing the gross rock volume above the oil–water contact. The results show a significant effect on the depth resolution of the events, as well as on volume estimation, indicating that the greater the reliability captured by the complex velocity models, the greater the confidence in the resulting volumetric information.
Airfoil flow receptivity to simulated tonal noise emissions

On airfoils at low to moderate Reynolds numbers, trailing edge sound can have a feedback effect on the development of instability waves resulting in strongly periodic vortex shedding and tonal noise. This complex problem is decoupled in this study to investigate the flow response to deterministic noise emissions. The flow receptivity and response to tonal noise are examined using controlled steady and transient acoustic excitation. Experiments are performed on a NACA 0018 airfoil at a Reynolds number of 1.15 × 10 5 and an angle of attack of 5°, with a separation bubble on the suction side. Controlled acoustic perturbations are introduced via a loudspeaker. A combination of mean and time-resolved surface pressure and simultaneous high-speed particle image velocimetry measurements provides insight into the response of the bubble to simulated acoustic forcing. Amplification of shear layer perturbations in the fore portion of the separation bubble is observed only after some time delay from the onset of acoustic forcing. This places the receptivity region within the boundary layer upstream of the separation bubble, extending from the leading edge to just downstream of the suction peak. The acoustically excited perturbations in the receptivity region attain higher amplitudes than natural disturbances and are amplified significantly in the separation bubble, leading to a transient reduction in the separation bubble size. Results elucidate the ensuing transient response of the separation bubble, illustrating the flow dynamics expected during the initiation of the acoustic feedback loop during natural tonal noise emissions on an airfoil.
Deep Learning Based on CNN for Emotion Recognition Using EEG Signal

Emotion recognition based on brain-computer interface (BCI) has attracted important research attention despite its difficulty. It plays a vital role in human cognition and helps in making the decision. Many researchers use electroencephalograms (EEG) signals to study emotion because of its easy and convenient. Deep learning has been employed for the emotion recognition system. It recognizes emotion into single or multi-models, with visual or music stimuli shown on a screen. In this article, the convolutional neural network (CNN) model is introduced to simultaneously learn the feature and recognize the emotion of positive, neutral, and negative states of pure EEG signals single model based on the SJTU emotion EEG dataset (SEED) with ResNet50 and Adam optimizer. The dataset is shuffle, divided into training and testing, and then fed to the CNN model. The negative emotion has the highest accuracy of 94.86% fellow by neutral emotion with 94.29% and positive emotion with 93.25% respectively. With average accuracy of 94.13%. The results showed excellent classification ability of the model and can improve emotion recognition.
Optimization of canthaxanthin extraction from fermented biomass of Paracoccus carotinifacuens VTP20181 bacteria strain isolated in Vietnam

Introduction. The bacterium strain Paracoccus carotinifaciens VTP20181 isolated in Vietnam produces canthaxanthin, a carotenoid widely used in the food and pharmaceutical industries. The aim of this work was to determine optimal parameters for canthaxanthin extraction from fermented biomass of P. carotinifaciens VTP20181. Study objects and methods. First, a series of single factor investigations were carried out in regard to maximal carotenoid content in the biomass extract obtained by using ultrasonic waves. Four parameters of the extraction process, such as extraction temperature, solvent/material ratio, extraction time, and ultrasonic output power, were studied. The obtained results were then optimized by using Response Surface Methodology (RSM) and Box-Behnken experimental design. Results and discussion. The optimal technological parameters of the extraction process included extraction temperature of 35°C, solvent/material ratio of 9.5:1 (v/w), extraction time of 90 min, and ultrasonic output power of 145 W. Under optimal conditions, canthaxanthin and total carotenoid contents were determined as 14.95 ± 0.12 and 18.21 ± 0.11 mg/g respectively, which were compatible with theoretical calculations ‒ 15.074 and 18.263 mg/g, respectively. Conclusion. Current results confirmed that the strain of halophilic P. carotinifaciens VTP20181 is a potential source for canthaxanthin biosynthesis.
An Exploration of Co-Workers’ Group Identification as Moderator of the Leadership-Health Link

This study explores the leadership-health link from a social identity perspective. It focuses on leadership behaviors that seek to form a strong shared social identity (i.e., identity leadership) and the contextual influence of co-workers’ group identification. In a sample of 319 members in 77 workgroups, data supports the indirect link of identity leadership and reduced symptoms of burnout via perceived social support. However, contrary to our expectation, high levels of co-workers’ group identification weakened the relationship of identity leadership and perceived social support. The implications of this finding for the understanding of leadership as a group process are discussed.
Photoconductive emitters for pulsed terahertz generation

Conceived over 30 years ago, photoconductive (PC) emitters have proved essential in the development and spread of terahertz technology. Since then, not only have they been used extensively in a wide range of spectroscopic and imaging applications, they have also undergone significant improvements in performance, leading to their use for broadband or non-linear spectroscopy. In this review article, we provide an overview of the literature, highlighting the key milestones in the progression of the PC emitter. We also investigate the future of PC technology and review the existing challenges.
Uncertainty in Irrigation Technology: Insights from a CGE Approach

The benefits of technological improvement are uncertain. The timing of the introduction and take-up of new technologies is difficult to estimate. Technological improvements play a decisive role in water policy. In the context of water policy design, we evaluate the implications of uncertainty in the gradual process of enhancements to the efficiency of irrigation water use, for a better understanding of the extent to which these improvements could mitigate the output losses derived from water constraints. To accomplish this, we address simultaneous sensitivity analyses within a dynamic Computable General Equilibrium (CGE) model to analyze different uncertainty scenarios. Our results show that the date on which advanced technology becomes available and enters general use is quite significant. The greater and faster the improvements in irrigation technologies, the better.
The Effects of Installation on the Elastic Stiffness Coefficients of Spudcan Foundations

Subjected to pre-load, spudcan foundations, widely utilized to support offshore jack-up rigs, may penetrate in a few diameters into soft clays before mobilizing sufficient resistance from soil. While its stress–strain behavior is known to be affected by the embedment condition and soil backflow, the small-strain calculation with wished-in-place assumption was previously adopted to analyze its elastic stiffness coefficients. This study takes advantage of a recently developed dual-stage Eulerian–Lagrangian (DSEL) technique to re-evaluate the elastic stiffness coefficients of spudcans after realistically modelling the deep, continuous spudcan penetration. A numerical parametric exercise is conducted to investigate the effects of strength non-homogeneity, embedment depths, and the spudcan’s size on the elastic stiffness. On these bases, an expression is provided such that the practicing engineers can conveniently factor the installation effects into the estimation of elastic stiffness coefficients of spudcans.
A Preliminary Study of Students With Disabilities in ‘Flexi’ Education Settings

Abstract Flexible learning programs (FLPs) provide a place for students who have disengaged and disconnected from mainstream schools. Despite the legislative framework in Australia supporting the participation of students with disability in their local mainstream schools wherever possible, very little research focusing on whether students with disability are being excluded from, or dropping out of, mainstream schools into these FLPs has been conducted. In this paper, we report on the findings of an online cross-sectional survey of FLP leaders about their student populations, with a focus on the 10 most prevalent disabilities among Australian children. Data from the 22 participants who completed all items of the survey were analysed. The participants’ (n = 22) schools represented a total enrolment of 2,383 students in FLPs across Australia: Tasmania (n = 3), Victoria (n = 5), New South Wales (n = 5), Queensland (n = 4), Western Australia (n = 3), and South Australia (n = 2). We found that while there was an apparent overrepresentation of students with certain types of disabilities in FLPs, others were not overrepresented at all. The findings of this preliminary study are discussed, with an exploration of issues relating to why students with some disabilities may be more likely to disengage, or be excluded, from mainstream schooling while others are not, as well as recommendations for future research.
Last chance tourism: a decade review of a case study on Churchill, Manitoba’s polar bear viewing industry

Abstract For over 50 years, Churchill, Manitoba has provided visitors an opportunity to see polar bears in their natural environment. Over the same time period, an increase in temperatures and related reductions in sea ice has negatively impacted the health of polar bears in the Western Hudson Bay. In 2008, the term ‘last chance tourism’ was coined, linking the demand to travel to the North with a desire to see these animals ‘before they are gone’. This creates a paradox as tourists require energy-intensive modes of transportation to reach the Arctic, thereby contributing to greenhouse gas emissions. This paper compares the polar bear viewing industry’s total greenhouse gas contribution and tourists’ knowledge about climate change with results from a 2008 study and discusses any changes over the last ten years. During the 2018 polar bear viewing season, greenhouse gas emissions were estimated to be 23,017 t/CO2, an increase from 2008. The results also indicated that although most tourists believe climate change is happening, fewer associate air travel to this — a similar finding identified ten years ago. Findings from this research show that consumption patterns have not changed despite a growing awareness of climate change and its impacts.
Reduced effective radiative forcing from cloud-aerosol interactions (ERFaci) with improved treatment of early aerosol growth in an Earth System Model

Abstract. Historically, aerosols of anthropogenic origin have offset some of the warming from increased atmospheric green- house gas concentrations. The strength of this negative aerosol forcing is, however, highly uncertain – especially the part originating from cloud-aerosol interactions. An important part of this uncertainty originates from our lack of knowledge about the pre-industrial aerosols and how many of these would have acted as cloud condensation nuclei (CCN). In order to simulate CCN concentrations in models, we must adequately model secondary aerosols, including new particle formation (NPF) and early growth, which contributes with a large part of atmospheric CCN. In this study, we investigate the effective radiative forcing (ERF) from cloud–aerosol interactions (ERFaci ) with an improved treatment of early particle growth, presented in Blichner et al. (2020). We compare the improved scheme to the default scheme, OsloAero, both part of the atmospheric component of the Norwegian Earth System Model v2 (NorESM2). The improved scheme, OsloAeroSec, includes a sectional scheme that treats the growth of the particles from 5–39.6 nm which thereafter inputs the particles to the smallest mode in the pre-existing, modal aerosol scheme. The default scheme parameterizes the growth of particles from nucleation and up to the smallest mode, a process that can take several hours. The explicit treatment of the early growth in OsloAeroSec on the other hand, captures the changes in atmospheric condition during this growth time both in terms of air mass mixing, transport and condensation and coagulation.We find that the ERF aci with the sectional scheme is −1.16 Wm−2 , which is 0.13 Wm−2 weaker compared to the default scheme. This reduction originates from OsloAeroSec producing more particles than the default scheme in pristine, low-aerosol- concentration areas and less NPF particles in high-aerosol areas. We find, perhaps surprisingly, that NPF inhibits cloud droplet activation in polluted/high-aerosol-concentration regions because the NPF particles increase the condensation sink and reduces the growth of the larger particles which may otherwise activate. This means that in these high-aerosol regions, the model with lowest NPF – OsloAeroSec – will have highest cloud droplet activation and thus more reflective clouds. In pristine/low aerosol regions however, NPF enhances cloud droplet activation, because the NPF particles themselves tend to activate.Lastly, we find that sulphate emissions in the present day simulations increase the hygroscopicity of the secondary aerosols compared to the pre-industrial simulations. This makes NPF particles more relevant for cloud droplet activation in the present day than the pre-industrial atmosphere, because the increased hygroscopicity means they can activate at smaller sizes.
Analysis and optimization of a nonlinear dual‐mode floor isolation system subjected to earthquake excitations

Floor isolation systems (FISs) are used to mitigate earthquake‐induced damage to sensitive building contents. Dynamic coupling between the FIS and primary structure (PS) may be nonnegligible or even advantageous when strong nonlinearities are present under large isolator displacements. This study investigates the influence of dynamic coupling between the PS and FIS in the presence of nonsmooth (impact‐like) nonlinearity in the FIS under intense earthquakes. Using component mode analysis, a nonlinear reduced order model of the combined FIS–PS system is developed by coupling a condensed model of the linear PS to the nonlinear FIS. A bilinear Hertz‐type contact model is assumed for the FIS, with the gap and the impact stiffness and damping providing parametric variation. The performance of the FIS–PS system is quantified through a multiobjective, risk‐based design criterion considering both the total acceleration sustained by the isolated mass under a service‐level earthquake and the interstory drift under a maximum considered earthquake. The results of a parametric study shed light on understanding the valid range that the decoupled approach can be reliably applied for nonlinear FISs experiencing impacts. It is also shown that the nonlinear FIS can be tuned in such a way to mitigate seismic responses of the supporting PS under strong shaking, in addition to protecting the isolated mass at low to moderate shaking. The FIS, therefore, functions as a dual‐mode vibration isolator/absorber system, with displacement‐dependent response adaptation. Guidelines to the optimal tuning of such a dual‐mode system are presented based on the risk‐based stochastic design optimization.
The Effect of Social and Personality Factor on Attitude Toward Brand and Purchase Intention

The purpose of this research was to examine the influence of social and personality factor on attitude toward brand and purchase intentions. It was carried out because currently, the purchase of branded bags overgrows in Indonesia. In this research, sampling employed non-probability with the purposive sampling technique. The data collection technique in this research used a questionnaire distributed online according to predetermined criteria i.e., branded bag consumers who had purchased a minimum once in the last six months. This study's sample was buyers of branded bags in Indonesia, with as many as 150 respondents. The method utilized was Structural Equation Modeling (SEM). This studyâ€™s findings indicated that social and personality factor influenced consumer purchase intention. Social and personality factor influenced purchase intention mediated by attitude toward brand. In addition, the relationship between social factor and purchase intention was moderated by hedonic value. Likewise, personality factor and purchase intention were moderated by hedonic value.
Secure K-NN Query on Encrypted Cloud Data with Multiple Keys

Cloud computing has become an undeniably famous assistance for its adaptability and versatility, which rouses numerous associations, foundations and organizations to want to re-appropriate data administrations to cloud stage. Simultaneously, much consideration has been paid to adapt to the extraordinary security and protection issues in recloud cloud. The general methodology is to scramble data by the data owner (DO) before re-appropriating; the approved query user play out an unpredictable arrangement of encryption and decoding tasks during question execution. In any case, the above plans have accepted that the question clients are completely trusted and have the entrance to the key for scrambling and unscrambling recloud data. It will achieve a few issues in reality. So we propose a novel plan for secure KNN inquiry on encoded cloud data with various keys, in which the data owner and each question client all hold their own various keys, and don’t impart them to one another; in the interim, the data owner scrambles and decodes re-appropriated data utilizing the key of his own. Our plan is built by set of conventions to jelly the data classification and question over scrambled cloud data without key-sharing.
Investigating the indoor environmental quality of different workplaces through web-scraping and text-mining of Glassdoor reviews

ABSTRACT The analysis of occupants’ perception can improve building indoor environmental quality (IEQ). Going beyond conventional surveys, this study presents an innovative analysis of occupants’ feedback about the IEQ of different workplaces based on web-scraping and text-mining of online job reviews. A total of 1,158,706 job reviews posted on Glassdoor about 257 large organizations (with more than 10,000 employees) are scraped and analyzed. Within these reviews, 10,593 include complaints about at least one IEQ aspect. The analysis of this large number of feedbacks referring to several workplaces is the first of its kind and leads to two main results: (1) IEQ complaints mostly arise in workplaces that are not office buildings, especially regarding poor thermal and indoor air quality conditions in warehouses, stores, kitchens, and trucks; (2) reviews containing IEQ complaints are more negative than reviews without IEQ complaints. The first result highlights the need for IEQ investigations beyond office buildings. The second result strengthens the potential detrimental effect that uncomfortable IEQ conditions can have on job satisfaction. This study demonstrates the potential of User-Generated Content and text-mining techniques to analyze the IEQ of workplaces as an alternative to conventional surveys, for scientific and practical purposes.