Miracle-dz/UniFAR-FTUs huggingface dataset:
Gifting in Museums: Using Multiple Time Orientations to Heighten Present-Moment Engagement

ABSTRACT HCI has recently increased its interest in the domains of museums and gifting. The former is often oriented primarily towards the past, while the latter is often oriented towards the future, in terms of anticipating the receiver’s reactions. Our article provides a sustained and well-evidenced new theoretical framework on the role of time-orientation on the design of forward-oriented (gifting) experiences in past-oriented (museum) settings. This Temporal Experience Design Framework develops from the analysis of two such studies, one smartphone app and one VR experience using passive haptics. Both interventions prompted the user to reflect on the past while planning a gift or donation for future consumption. We apply a novel combination of analyses to both projects using the lenses of conversational storytelling, performance, and human geography. Our analyses reveal the power of orienting users towards the past and the future – simultaneously – to enhance the present moment of a performative engagement. Our aim is to provide a conceptual framework that can help design researchers to identify, name, and understand how time-orientation can be used to enhance user and visitor experience. We also extrapolate design guidelines that we expect may be fruitful outside these contexts.
Fast Storm Surge Ensemble Prediction using Searching Optimization of a Numerical Scenario Database

Accurate storm surge forecasts provided rapidly could support timely decision-making with consideration of tropical cyclone (TC) forecasting error. This study developed a fast storm surge ensemble prediction method based on TC track probability forecasting and searching optimization of a numerical scenario database (SONSD). In a case study of the Fujian Province coast (China), a storm surge scenario database was established using numerical simulations generated by 93,150 hypothetical TCs. In a GIS-based visualization system, a single surge forecast representing 2562 distinct typhoon tracks and the occurrence probability of overflow of seawalls along the coast could be achieved in 1–2 min. Application to the cases of Typhoon Soudelor (2015) and Typhoon Maria (2018) demonstrated that the proposed method is feasible and effective. Storm surge calculated by SONSD had excellent agreement with numerical model results (i.e., mean MAE/RMSE: 7.1/10.7 cm, correlation coefficient: >0.9). Tide prediction also performed well with MAE/RMSE of 9.7/11.6 cm versus the harmonic tide, and MAE/RMSE of phase prediction for all high waters of 0.25/0.31 h versus observations. The predicted high-water level was satisfactory (MAE of 10.8 cm versus observations) when the forecasted and actual positions of the typhoon were close. When the forecasted typhoon position error was large, the ensemble surge prediction effectively reduced prediction error (i.e., the negative bias of −58.5 cm reduced to −5.2 cm versus observations), which helped avoid missed alert warnings. The proposed method could be applied in other regions to provide rapid and accurate decision-making support for government departments.
“Gymmy”: Designing and Testing a Robot for Physical and Cognitive Training of Older Adults

Physical and cognitive training can maintain and improve older adults’ independence and quality of life. Given the demographic growth of the older adult population and the shortage of caregivers, there is a need for personal trainers for physical and cognitive activities. This study suggests that social robots can satisfy this demand and presents the development of “Gymmy”, a robotic system for the physical and cognitive training of older adults. The system design includes a humanoid mechanical-looking robot to demonstrate exercises, an RGB-Depth (RGB-D) camera to measure performance and a touch screen and speakers to provide instructions and feedback. Experiments with 26 older adults (65–84 years of age) were performed in home environments to examine the effect of users’ characteristics (age, gender, education and attitude toward robots), the addition of cognitive training and the success rate of the acceptability of a robot trainer. The results showed that age, attitude and education influenced the acceptance of the robotic system. The findings highlight the importance of customizing the system to the needs of different users and the role of meaningful feedback. The system was proven to be robust and reliable, demonstrating clear potential to be used as a personal trainer and as a means of motivating older adults.
Effect of Ultrasonic Pretreatment on Oxidized Coal Flotation

In this work, the effect of ultrasonic pretreatment time on oxidized coal flotation was studied. Analytical techniques, such as particle size distribution (PSD), scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), contact angle measurement, and specific surface area/pore analysis, were used to examine the changes in the physicochemical characteristics of the coal samples before and after ultrasonic pretreatment. The results showed that the flotation kinetics and yield of the clean coal initially increased with ultrasonic pretreatment time. The maximum clean coal yield (79.6%) and maximum value of the flotation kinetics constant were obtained within 10 min of ultrasonic pretreatment. The hydrophilic oxidized layer on the coal surface was effectively removed by ultrasonic cavitation, as identified by PSD, SEM, XPS, and contact angle, which increased the flotability and recovery of oxidized coal. However, prolonged ultrasonic pretreatment proved detrimental to oxidized coal flotation.
RESISTANT LEVEL OF SOYBEAN GERMPLASM AGAINST POD SUCKING BUGS (Riptortus spp.)

Increasing productivity of soybean has often been constrained by pod sucking bugs (Riptortus spp.) which caused a serious damage and yield losses up to 80%. Breeding for obtaining soybean variety resistant to pod suckers needs the availability of soybean germplasm resistant to the pest. The study aimed to obtain a candidate for soybean variety resistant to Riptortus spp. through the selection of 100 accessions of soybean. The study included the preparation of test plants and test insects, pest infestations, observations, and looking for a practical screening method for pod sucking pests. The experiment used a completely randomized design for two treatments (infested and non-infested Riptortus spp.). Cikuray variety and PI-092734 accession were used as a control. Results showed that there was a very low correlation among variables observed. Twelve soybean accessions showed a resistance to Riptortus spp. , i.e. C7301-113AC-POP, Lokal Madiun-3549, Lokal Klungkung, ML.2974, Singgalang, Lokal Jepara, Lokal Jatim, Lokal Trenggalek, Lokal Tulungagung, Lokal Tabanan, Lokal Blitar, and Lokal Kuningan 10. These accessions were more resistant than the popular released variety such as Wilis, Grobogan, Detam 2, and Gepak Ijo. Small seed size was not a major determinant of soybean resistance to pod suckers. The addition of observational components, i.e. probing preference and oviposition, indicated that crop damage was indirectly influenced by the high frequency of probing and oviposition, although its relation to plant tolerant mechanisms still needs further investigation. Indeterminate plant types require further validation as to whether they contribute significantly to plant resistance against pod sucking insects.
Definition of the Operational Curves by Modification of the Affinity Laws to Improve the Simulation of PATs

New technologies for water pressurized systems try to implement the introduction of strategies for the improvement of the sustainable indicators. One of these technologies is the implementation of pumps working as turbines. The use of these recovery machines was proposed some years ago, and the interest in this technology has increased over the last years. The simulation of these machines is necessary when analyzing pressurized water systems, or when optimization procedures are proposed for their management, great care must be taken. In these cases, the knowledge of the operation curves is crucial to reach accurate results. This study proposes different regression expressions to define three operational curves when the machines operate under variable rotational speed. These curves are the best efficiency head, the best power-head and the best power flow. The here proposed methods were compared with other five published methods. The comparison shows the proposed method was the best when it is compared with the rest of the published procedures, reducing the error values between 8 and 20%.
The effects of implementation intentions on educational tourism: a protection motivation theory approach

ABSTRACT This study explores the important components of decision-making that influence the behavioural intentions of international students for educational tourism. A total of 367 samples were generated by using quota sampling technique. The partial Least Square approach was applied to assess the measurement model and structural model. Based on the statistical results, perceived severity, perceived vulnerability, response efficacy and perceived self-efficacy are positively related to behavioural intention, whereas response cost is found not to be negatively related to behavioural intention. This empirical paper has contributed to the existing theoretical literature by adopting Protection Motivation Theory to further understand the elements of the decision-making process. The results revealed that, as compared to threat appraisal variables, coping appraisal variables are more significantly associated with behavioural intention. With these prominent findings, the ministry of education and tourism board can gain an insight on international students’ attitude and behaviour related to educational tourism perspective.
Racial and Ethnic Disparities in School Discipline: The Interactive Effects of Gender and Parental Educational Attainment

Prior research has provided consistent evidence that minority students are more likely than White youth to experience punitive forms of discipline in schools. Scholars have theorized that these disadvantages are closely connected to gender and socioeconomic status, but little research has explored how these factors independently and jointly might moderate the effects of race/ethnicity. Using data from the 2012 to 2018 8th and 10th grade cohorts of the Monitoring the Future survey (N = 53,986), these analyses find that minority students are more likely than Whites to experience suspension/expulsion and office referrals, and this pattern is especially prominent among females. Further, racial/ethnic disparities are amplified for youth whose parents have higher levels of educational attainment, though some differences by gender also emerge.
Does Organizational Commitment Buffer the Relation between Work-to-family Conflict and Emotional Exhaustion in Chinese Preschool Teachers?

ABSTRACT Research Findings: Work-to-family conflict is prevalent in preschool teachers, which has increased their risk of emotional exhaustion. To help preschool teachers deal with work-to-family conflict and avoid emotional exhaustion, this study examined the relation between work-to-family conflict and emotional exhaustion and the buffering roles of three components of organizational commitment (i.e. affective commitment, normative commitment, and continuance commitment) with a sample of 495 beginning preschool teachers and 449 experienced preschool teachers coming from China. Results showed that (1) work-to-family conflict significantly and positively related to emotional exhaustion in both beginning and experienced preschool teachers; (2) continuance commitment buffered the relation between work-to-family conflict and emotional exhaustion in both beginning and experienced preschool teachers; (3) the buffering effect of affective commitment was only significant in experienced preschool teachers; (4) the buffering effect of normative commitment was not observed in both groups of teachers. Practice or Policy: These findings suggest education administrators to reduce preschool teachers’ work-to-family conflict and improve their organizational commitment simultaneously, thereby alleviating their emotional exhaustion.
Effect of flow control devices on the distribution of magnetic-flow-heat in the channel induction heating tundish

A three-dimensional magnetic-flow-heat coupling model was established to study the metallurgical behaviour under different flow control devices in the channel-typed induction heating (IH) tundish. As compared to the prototype tundish, the results suggested that the maximum temperature difference between each strand and the tundish dead zone ratio are decreased by 0.75 K and 5.24% while with a kind of double-port channel even without IH. With an additional setup of dam in the IH tundish, the values mentioned above will drop furtherly by 0.52 K and 0.63%, respectively. The inclined wall of the prototype IH-tundish and its single-side installation of the induction coils, however, produce a downward electromagnetic force (EMF) at the channel exit eccentrically, which will make molten steel at the exit of the channel to flow downward and aggravate the short-circuit flow tendency at strand 2 (S2). The eccentric downward EMF at the exit of channel port-1 drives the molten steel to flow downward, but which can be depressed by the newly designed dam. In contrast, the eccentric upward EMF at the exit of channel port-2 drives the molten steel to flow upward. With IH turning on, the double-port channel plus dam device can reduce the dead zone ratio by 5.05% compared to the prototype tundish. Meanwhile, both the maximum temperature difference between each strand and the time exceeding the harmful temperature difference (3 K) can be decreased together accordingly.
Clear anti-phase tendency of volcanic eruptions and consistent U.S. Dollar Index response to volcanic forcing

Numerous studies have presented statistical relations between large volcanic eruptions and ensuing El Niño events or between El Niño events and local economies. However, the relation between volcanic eruptions and economies has not been completely clarified. This study compares volcanic eruptions and the U.S. Dollar Index for the past 54 years (1967–2020) to identify significant economic responses to volcanic activity. There is a clear anti-phase tendency between the volcanic eruptions of the western Pacific and those of the eastern Pacific. And volcanic eruptions and U.S. Dollar Index exhibit a strong correlation and U.S. Dollar Index follows the fluctuation trend of volcanic eruptions with a 1-year delay. Thus, results indicate that changes in forces within the earth due to volcanic eruptions continuously impact the global economy. This study identifies a teleconnection between heterogeneous factors that had not been previously reported and provides a new scientific clue regarding the mechanism how has geodynamics affected the human life.
Collateral damage in education: implications for the time of COVID-19

ABSTRACT The Coronavirus disease of 2019 (COVID-19) has impacted the world immensely in terms of both global health and economy. It has exacerbated the gap between the economically advantaged and disadvantaged groups in terms of access to various resources and opportunities across the world. This situation has been described as ‘collateral damage’, which represents unexpected and unintended negative impacts that deprive the poor of certain opportunities and rights. Interestingly, the differences in capability to respond to the issues caused by COVID-19 are observed in developed and developing countries alike. This paper aims to discuss the potential risk factors that encourage students to drop out as collateral damage due to COVID-19, based on the literature on developing South East Asian countries. This commentary argues that collateral damage caused by COVID-19 has revealed a serious limitation in the nature of formal schooling in South East Asia. Although more socio-economically vulnerable groups can participate in formal schooling, there is still not a sufficiently communal climate in these schools that would prevent them from dropping out.
Bending Stiffness of Hybrid Wood-Metal Composite Beams: An Experimentally Validated Numerical Model

This paper presents an experimentally validated model for the computational analysis of metal-reinforced wooden composites. The model can be used in both research and in industry to effectively estimate how much a certain composite design improves the bending stiffness and strength of a hybrid metal-reinforced wooden component. A model based on computer simulations allows the prediction and analysis of the mechanical behaviour of a hybrid composite material consisting of several interconnected components made of different base materials. The model for different boundary conditions and parameters provides the correct data on stiffness, especially bending, and the associated maximum displacements. It allows for a variation of the mechanical and geometrical properties, and makes it possible to observe the initiation of irreversible change in the window-frame member. The model enables parametrical simulations to find the optimum layout of reinforcements in the window-frame member, as well as to make estimations of the maximum performance of certain designs.
Clinical presentation and imaging characteristics of clear cell sarcoma-like tumour of the gastrointestinal tract with liver metastasis: a case description.

The clear cell sarcoma-like tumor of the gastrointestinal tract (CCSLTGT) is an unusual malignant soft tissue tumor in the gastrointestinal tract. Although initially identified as a type of clear cell sarcoma (CCS) (1), further studies revealed it to be a new entity that resembles but is different from CCS (2). Only 96 cases have been reported worldwide (3), mostly occurring in the small intestine. Only 13 cases have been reported in the stomach (2-7). However, few studies have been conducted to evaluate the imaging characteristics of CCSLTGT. We report an extremely rare case of CCSLTGT of the stomach with liver metastasis in a middle-aged woman.
Corporate Sustainable Management, Dividend Policy and Chaebol

This study empirically examines the relationship between corporate sustainable management (CSM) and dividend policy. Among the various motivations related to dividends, this study examines the relationship between CSM and dividend policy based on the agency and signaling theory. After examining the relationship between CSM and dividend policy, we investigate whether belonging to a large business group (chaebol group) has a significant effect on the relationship between CSM and dividend policy. The analysis period is from 2011 to 2018, and the ESG ratings of the Korea Corporate Governance Service are used as proxies for CSM. The empirical results show that CSM and dividends have a significant relationship in the positive direction. This means that firms with excellent CSM activities have higher dividend levels than those that do not. Furthermore, the association between CSM and dividends is more negative for firms belonging to a chaebol group. This indicates that the positive relationship between CSM and dividends in a firm that belongs to a chaebol group is weakened. This means that the relationship between CSM and dividends in the group belonging to the chaebol group is weakened. It belongs to the group of conglomerates, meaning that the relationship between the amount of dividends and CSM weakened. Our study focuses on CSM as a determinant of dividends, and examines the effects of belonging to a chaebol group in the relationship between CSM and dividends. Given that resolving the interest incompatibility between investors and managers is the focus of corporate governance, dividend policies can be used as a method for resolving the interest incompatibility between investors and managers.
Protest Participation and Attitude Change: Evidence from Ukraine’s Euromaidan Revolution

How and why does protest shape participants’ attitudes? We study this issue using panel data gathered both before and after Ukraine’s Euromaidan protests. We argue that frames play a key role in this process. We find that protest participation increased alignment of protesters’ policy preferences with the main protest frames by stabilizing existing attitudes that were in alignment and changing attitudes that conflicted with the dominant frame. Attitudes on core protest issues also became more coherent. We find no comparable effects for issues less central to the protests, and all effects vary as the framing and protest environment changed. In addition, we examine the mechanisms of attitude change, showing that while protesters also experience significant increases in efficacy, interest, and participation, these changes only partly explain attitudinal changes. These findings speak to both the short- and long-term mechanisms by which protest participation can shape public opinion.
Hybrid intelligent predictive maintenance model for multiclass fault classification

Data recorded from monitoring the health condition of industrial equipment are often high-dimensional, nonlinear, nonstationary and characterised by high levels of uncertainty. These factors limit the efficiency of machine learning techniques to produce desirable results when developing effective fault classification frameworks. This paper sought to propose a hybrid artificial intelligent predictive maintenance model based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN), Principal Component Analysis (PCA) and Least Squares Support Vector Machine (LSSVM) optimised by the combination of Coupled Simulated Annealing and Nelder-Mead Simplex optimisation algorithms (ICEEMDAN-PCA-LSSVM). Here, ICEEMDAN was first employed as a denoising technique to decompose signals into a series of Intrinsic Mode Functions (IMFs) of which only relevant IMFs containing the relevant fault features were retained for signal reconstruction. PCA was then employed as a dimension reduction technique through which the resulting set of uncorrelated features extracted served as input for LSSVM for classifying various fault types. The proposed technique is compared with three established methods [Linear Discriminant Analysis (LDA), Support Vector Machine (SVM) and Artificial Neural Network (ANN)] with multiclass classification capabilities. The various techniques were tested on an experimental UCI machine learning benchmark data obtained from multi-sensors of a hydraulic test rig. The results from the analysis revealed that the proposed ICEEMDAN-PCA-LSSVM technique is versatile and outperformed all the compared classifiers in terms of accuracy, error rate and other evaluation metrics considered. The proposed hybrid technique drastically reduced the redundancies and the dimension of features, allowing for the efficient consideration of relevant features for the enhancement of classification accuracy and convergence speed.
A double moral hazard model for inter‐organizational knowledge sharing

In inter‐organizational knowledge sharing, the firms share sensitive organizational knowledge to jointly solve a problem. However, the knowledge sender may conceal knowledge and the knowledge receiver may misappropriate the knowledge received from the sender. We formalize this situation using the double moral hazard framework and develop Stackelberg game models for symmetric and asymmetric information scenarios. First, we analyse the motivation for triggering double moral hazard. We find that by concealing knowledge, the sender cannot reduce the loss due to misappropriating knowledge. Second, we analyse the impact of improved punishment mechanism on the behaviours that trigger double moral hazard, and find that there exists a threshold policy with respect to monitoring effort to prevent double moral hazard. Third, we get the conditions under which the partner has the motivation to prevent the monitor from adopting a deception strategy.