Miracle-dz/UniFAR-FTUs huggingface dataset:
Slacking with the Bot: Programmable Social Bot in Virtual Team Interaction

Nonhuman communicators are challenging the prevailing conceptualizations of technology-mediated team communication. Slackbot is a social bot that can be configured to respond to trigger words and, thus, take part in discussions on the platform. A set of 84 bot-related communication episodes were identified from a journalistic team’s Slack messages (N = 45,940) and analyzed utilizing both qualitative content analysis and interaction process analysis (IPA). This integrated mixed-methods analysis revealed novel insights into the micro-level dynamics of human–machine communication in organizational teams. In response to Slackbot’s greetings, acclamations, work-related messages, and relational messages, we identified how the team members respond to the bot, discuss it, and summon it to appear on the platform. Further, the IPA revealed that the bot-related communication episodes are shaped by the bot’s responses toward more socioemotional and personal functions. Findings suggest that a team-configured social bot can manifest and facilitate relational team communication. Lay Summary New communication technologies not only support but also take part in organizational team communication, challenging how we see the agency of these technologies. This paper examines Slackbot, a bot that “participates” in team discussions based on the use of triggering words that are configured by the team members. We used integrated mixed methods to study a set of Slackbot interactions with team members. Specifically, we examined how team members summon, interact with, and discuss the bot based on the bot’s greetings, acclamations, relational comments, and work-related messages. We found that Slackbot changes the nature of the team interaction. The analysis showed that when the bot participates in the discussion thread, it becomes more relational and less task focused. These findings suggest that a social bot can facilitate relational communication and provide assets that support organizational teamwork.
Mid-infrared intersubband absorption in strain-balanced non-polar (In)AlGaN/InGaN multi-quantum wells

Mid-infrared intersubband transitions in strain-balanced m-plane (In)AlxGa1-xN/In0.16Ga0. 84N (0.19≤x≤0.3) multi-quantum wells are reported for the first time in the range of 3.4–5.1 µm (244–360 meV). Direct and attenuated total-reflection infrared absorption measurements are interpreted using structural information revealed by high-resolution x-ray diffraction and transmission electron microanalysis. The experimental intersubband energies are better reproduced by calculations using the local-density approximation than the Hartree-Fock approximation for the exchange-correlation correction. The effect of charge density, quantum well width, and barrier alloy composition on the intersubband transition energy is also investigated to evaluate the potential of this material for practical device applications.
Proximity hype as a frame attribute in the reporting on North Korea: Frame strength in competitive contexts

This study analyses generic frames exhibiting varying strength when in a competitive context in an effort to identify the most recurring and repeated patterns and schemata in the framing of global news. The two-level analysis revealed six recurring attributes (official and/or credible sources, repetition, journalistic lexical bias, proximity hype, episodic nature of frame and negativity bias) that are believed to encompass frames and influence their power of persuasiveness. Special focus is placed on proximity hype with its three dominant angles recurring in the publications, which implies a common use of this aspect in the framing of news content.
Eastern European film festivals: streaming through the covid-19 pandemic

Abstract The Covid-19 pandemic disrupted virtually all domains of the film industry, from the production, through distribution to exhibition of films. As opposed to flourishing VOD platforms, cinemas have been hit particularly hard and with them film festivals, which had to choose between postponing their terms, becoming online or hybrid, or being cancelled altogether. The article focuses on festivals that either take place in Eastern Europe or are focused on the cinema of the region. It first briefly outlines the history of film festivals in Eastern Europe, then it summarizes the impact of the Covid-19 pandemic on cinemas and VOD platforms and finally presents three case studies of festivals and their activities during the pandemic. The three festivals streamed at least some films from their programmes and endorsed other activities, such as online industry events, drive-in cinemas and Virtual Reality events. The study concludes that the degree to which film festivals could successfully take place during the pandemic depended more on the type of festival than on its geographical location or geographical focus. Eastern European festivals were not lagging behind the West in this respect and many European festivals were, in fact, cooperating and learning from one another.
Exploring the Potential of Long Short‐Term Memory Networks for Improving Understanding of Continental‐ and Regional‐Scale Snowpack Dynamics

Accurate estimation of the spatio‐temporal distribution of snow water equivalent is essential given its global importance for understanding climate dynamics and climate change, and as a source of fresh water. Here, we explore the potential of using the Long Short‐Term Memory (LSTM) network for continental and regional scale modeling of daily snow accumulation and melt dynamics at 4‐km pixel resolution across the conterminous US (CONUS). To reduce training costs (data are available for ∼0.31 million snowy pixels), we combine spatial sampling with stagewise model development, whereby the network is first pretrained across the entire CONUS and then subjected to regional fine‐tuning. Accordingly, model evaluation is focused on out‐of‐sample predictive performance across space (analogous to the prediction in ungauged basins problem). We find that, given identical inputs (precipitation, temperature, and elevation), a single CONUS‐wide LSTM provides significantly better spatio‐temporal generalization than a regionally calibrated version of the physical‐conceptual temperature‐index‐based SNOW17 model. Adding more meteorological information (dew point temperature, vapor pressure deficit, longwave radiation, and shortwave radiation) further improves model performance, while rendering redundant the local information provided by elevation. Overall, the LSTM exhibits better transferability than SNOW17 to locations that were not included in the training data set, reinforcing the advantages of structure learning over parameter learning. Our results suggest that an LSTM‐based approach could be used to develop continental/global‐scale systems for modeling snow dynamics.
Mapping Boreal Forest Spruce Beetle Health Status at the Individual Crown Scale Using Fused Spectral and Structural Data

The frequency and severity of spruce bark beetle outbreaks are increasing in boreal forests leading to widespread tree mortality and fuel conditions promoting extreme wildfire. Detection of beetle infestation is a forest health monitoring (FHM) priority but is hampered by the challenges of detecting early stage (“green”) attack from the air. There is indication that green stage might be detected from vertical gradients of spectral data or from shortwave infrared information distributed within a single crown. To evaluate the efficacy of discriminating “non-infested”, “green”, and “dead” health statuses at the landscape scale in Alaska, USA, this study conducted spectral and structural fusion of data from: (1) Unoccupied aerial vehicle (UAV) multispectral (6 cm) + structure from motion point clouds (~700 pts m−2); and (2) Goddard Lidar Hyperspectral Thermal (G-LiHT) hyperspectral (400 to 1000 nm, 0.5 m) + SWIR-band lidar (~32 pts m−2). We achieved 78% accuracy for all three health statuses using spectral + structural fusion from either UAV or G-LiHT and 97% accuracy for non-infested/dead using G-LiHT. We confirm that UAV 3D spectral (e.g., greenness above versus below median height in crown) and lidar apparent reflectance metrics (e.g., mean reflectance at 99th percentile height in crown), are of high value, perhaps capturing the vertical gradient of needle degradation. In most classification exercises, UAV accuracy was lower than G-LiHT indicating that collecting ultra-high spatial resolution data might be less important than high spectral resolution information. While the value of passive optical spectral information was largely confined to the discrimination of non-infested versus dead crowns, G-LiHT hyperspectral band selection (~400, 675, 755, and 940 nm) could inform future FHM mission planning regarding optimal wavelengths for this task. Interestingly, the selected regions mostly did not align with the band designations for our UAV multispectral data but do correspond to, e.g., Sentinel-2 red edge bands, suggesting a path forward for moderate scale bark beetle detection when paired with suitable structural data.
Temporal variation of soil erosion resistance on sloping farmland during the growth stages of maize (Zea mays L.)

Maize growth has great effects on soil properties and thus likely induces the changes in soil erosion resistance on sloping farmland. However, temporal variation of soil erosion resistance during the growth stages of maize is still unclear in the mountainous yellow soil area where maize is the dominant crop. In this study, four maize plots (MP) and four bare land plots (CK) were conducted to investigate soil erosion resistance, and multiple indicators of soil erosion resistance were measured including the total soil anti‐scourability (TAS), mean weight diameter (MWD), soil erodibility K factor and soil shear strength (SH). A comprehensive soil erosion resistance index (CSERI) was employed to quantify the temporal variation of soil erosion resistance during the growth stages of maize (seedling stage, SS; jointing stage, JS; tasselling stage, TS; maturing stage, MS). The results showed that TAS, MWD, SH increased significantly with maize growth and SH decreased when at MS. But K factor decreased significantly over time. CSERI increased significantly during the growth stages of maize and the CSERI of JS, TS, MS increased on average by 74.72, 180.68 and 234.57% than that of SS. Compared to CK, CSERI of MP increased by 49.90, 66.82, 55.60 and 38.61% during the growth stages of maize. The temporal variation of soil erosion resistance was closely related to the changes in maize cover, maize roots and soil organic carbon. The findings demonstrated that it is necessary to consider the temporal variation of soil erosion resistance in the mountainous yellow soil area.
Examining Tourism Consumers’ Attitudes and the Role of Sensory Information in Virtual Reality Experiences of a Tourist Destination

The purpose of this research is twofold: firstly, we aim to understand the role of virtual reality (VR) in influencing tourism consumers’ attitudes toward a tourist destination and, secondly, understand the influence of different levels of sensory information presented through VR experiences on the development of mental imagery, attitudes toward the destination, and visit intention. We tackle this through a multistudy experimental approach. First, in study 1, we demonstrate that VR plays a positive role in enhancing previously held consumer attitudes toward a tourist destination. Second, we affirm that VR has a greater positive effect on attitudes toward a destination in comparison to a less immersive technology (i.e., website). Third, in study 2, we find that different levels of sensory information in VR experiences result in significant differences with regard to the developed mental imagery, sense of presence in the experience, attitudes toward the destination and visit intentions.
The Impact of Interpersonal Cognitive Distortions on Satisfaction with Life and the Mediating Role of Loneliness

Loneliness and cognitive distortions have serious negative effects on life satisfaction and are seen as related to each other. However, what mediates in these relationships has not been adequately analyzed. This study aims to analyze the effect between cognitive distortions and life satisfaction by asserting the mediating role of loneliness. For this purpose, we conducted a cross-sectional study with 978 people over the age of 20 from various parts of Turkey using a general screening model. Firstly, we analyzed the direct effect of interpersonal rejection, interpersonal misperception, and unrealistic relationship expectation, which are sub-dimensions of cognitive distortions, loneliness, and life satisfaction. Secondly, we analyzed the effects of independent, mediation, and interaction (Loneliness X age) variables on satisfaction with life. Thirdly, we applied direct regression analysis between independent, mediating, and dependent variables to conduct the mediation analysis of the study. Also, we examined age as a moderator between loneliness and life satisfaction. The results showed loneliness as an essential determinant between cognitive distortions and life satisfaction. Moreover, in the moderation analysis, we found some age-related differences between loneliness and life satisfaction. According to this, both loneliness and life satisfaction increased with increasing age. However, life satisfaction decreased as loneliness increased in young people. Being able to compensate for loneliness in the aging process is an essential psychological indicator. Although young people have more opportunities than older people, their ability to cope with negative situations such as loneliness is largely undeveloped. These results showed both psychological and sociological problems of loneliness. Therefore, the results can be useful for the prevention of loneliness and the development of intervention programs.
Which Septic Shock Patients With Non-Overt DIC Progress to DIC After Admission? Point-of-Care Thromboelastography Testing

Supplemental Digital Content is available in the text ABSTRACT Background: Disseminated intravascular coagulation (DIC) is a life-threatening complication of septic shock; however, risk factors for its development after admission are unknown. Thromboelastography (TEG) can reflect coagulation disturbances in early non-overt DIC that are not detected by standard coagulation tests. This study investigated the risk factors including TEG findings as early predictors for DIC development after admission in septic shock patients with non-overt DIC. Methods: This retrospective observation study included 295 consecutive septic shock patients with non-overt DIC at admission between January 2016 and December 2019. DIC was defined as an International Society on Thrombosis and Hemostasis (ISTH) score ≥ 5. The primary outcome was non-overt DIC at admission that met the ISTH DIC criteria within 3 days after admission. Results: Of the 295 patients with non-overt DIC, 89 (30.2%) developed DIC after admission. The DIC group showed a higher ISTH score and 28-day mortality rate than the non-DIC group (2 vs. 3, P < 0.001; 13.6% vs. 27.0%, P = 0.008, respectively). The DIC rate increased with the ISTH score (7.7%, 13.3%, 15.8%, 36.5%, and 61.4% for scores of 0, 1, 2, 3, and 4, respectively). Among TEG values, the maximum amplitude (MA) was higher in the non-DIC group (P < 0.001). On multivariate analysis, an MA < 64 mm was independently associated with DIC development (odds ratio, 2.311; 95% confidence interval, 1.298–4.115). Conclusions: DIC more often developed among those with admission ISTH scores ≥ 3 and was associated with higher mortality rates. An MA < 64 mm was independently associated with DIC development in septic shock patients.
A novel Gamma‐type duplex Stirling system to convert heat energy to cooling power: Theoretical and experimental study

This article aims at coupling two Stirling machines together to produce cooling power from different heat sources. Two identical Gamma‐type ST500 Stirling machines are coupled together. The first machine, named Stirling engine, is powered by burning natural gas and an electrical power supply as an auxiliary starter. The Stirling engine is connected to a second Stirling machine named Stirling refrigerator by a mechanical belt. The driving force is transferred to the Stirling refrigerator using the mechanical belt. Mechanical energy is then converted to cold energy in the Stirling refrigerator. This study presents the experimental and theoretical results by examining the whole system named duplex Stirling refrigerator system. Five experiments are performed on the system at different pressures to evaluate the results. Water circulation in copper coils is used to determine the cooling flux produced by the Stirling refrigerator. Finally, the coefficient of performance (COP) is calculated. The experimental data are validated using a MATLAB‐based code developed based on the presented formulas in this study. The results show that the system's maximum COP and electrical efficiency, consisting of two similar 500 W Gamma‐type Stirling machines, are between 0.21% and 70.8%, respectively. Setup theoretical and experimental efficiencies are 0.24 and 0.21, respectively, at the best case. The experimental results of the duplex Stirling refrigerator system used in this study are compared with the simulation results. Finally, the experimental results of this study are compared with some other reported results from different authors on the subject of the duplex Stirling refrigerator.
Introducing digital technologies in the factory: determinants of blue-collar workers’ attitudes towards new robotic tools

ABSTRACT In the context of blue-collar work, digital technologies and robotic systems are introduced at a rapid speed. However, employees are not always motivated to adopt such new technologies. Thus, it is essential to understand the drivers of employees’ attitudes towards new technology at work (e.g. their enthusiasm about new technology or their insecurity or resistance to change). The present study examines (actual and desired) work characteristics as a predictor of attitudes towards new technology in blue-collar work. Results from a correlational study among blue-collar workers (N = 127) showed that work characteristics among blue-collar workers could be divided into three dimensions, namely, work enrichment, work demands, and task identity. These correlated with attitudes towards a to-be-implemented new technology (here, robotic system): As expected, desired work demands correlated with greater technology enthusiasm, whereas a lack of actual work enrichment predicted technology-based job insecurity. Work characteristics were unrelated to user resistance to change. The findings suggest that how workers evaluate their current work, and how much they are (dis)satisfied with it, predicts attitudes towards new technology. This research adds to the knowledge about attitudes towards new technology in blue-collar work. Practical implications for the implementation of technologies in blue-collar work are discussed.
A Narrative Literature Review: What Is the Ideal Density for Environmentally Sustainable Urban Growth?

Abstract Urban growth in the form of sprawl became a global planning problem in the 20th century. High urbanization rates in combination with low-density zoning regulations put additional pressure on growing cities. Sprawl continues to generate negative social, environmental, and economic impacts. The results of 20 studies presented in this narrative review, which observe the change in urban form over time, indicate that the current urban growth form is sprawl. Compact urban form is considered a sustainable form of urban growth in the literature. The results of 10 studies on the correlation between the urban form and carbon dioxide (CO2) emissions show that densification without provision of adequate access to public transportation will induce more traffic, congestion, and associated CO2 emissions. The ideal density is subject to adequate access to public transportation—that is, mass transit-supportive density. Environmentally sustainable densities cannot deliver detached housing as a housing mode in many countries. International agreements on CO2 emissions should be translated and implemented at the metropolitan and municipal levels of governance via tools that have statutory powers. Statutory instruments such as planning schemes, building codes, and planning and environmental acts incorporating precinct-sustainable assessment systems (Building Research Establishment Environmental Assessment Method (BREEAM) Leadership in Energy and Environmental Design (LEED) Comprehensive Assessment System for Built Environment Efficiency (CASBEE, and Green Star) provide the opportunity to endorse sustainable density objectives.
Approximation of Fixed Points of Multivalued Generalized (α,β)-Nonexpansive Mappings in an Ordered CAT(0) Space

The purpose of this article is to initiate the notion of monotone multivalued generalized (α,β)-nonexpansive mappings and explore the iterative approximation of the fixed points for the mapping in an ordered CAT(0) space. In particular, we employ the S-iteration algorithm in CAT(0) space to prove some convergence results. Moreover, some examples and useful results related to the proposed mapping are provided. Numerical experiments are also provided to illustrate and compare the convergence of the iteration scheme. Finally, an application of the iterative scheme has been presented in finding the solutions of integral differential equation.
Predictors of Spontaneous Remodelling of Angular Knee Deformities in Children with Healed Nutritional Rickets: A Prospective Cohort Study Protocol

Background: Nutritional rickets is still considered as a global health problem especially in low-resource countries and immigrant societies of developed countries. Generalized skeletal deformities including angular knee deformities as genu varum and genu valgum are prominent features of nutritional rickets. Angular knee deformities can cause gait difficulties. However, the true remodelling potential of the healed knee deformities is largely unknown to the pediatric and orthopedic community. Aims: The primary objective of this study protocol is to investigate the natural history of disease in regard to the remodelling potential of angular knee deformities in children and adolescents with healed nutritional rickets. And determine the potential patient- and deformity-related factors that are associated with a favorable deformity remodelling as age and sex of patients and type, severity, laterality of deformities etc. Methods: This will be a prospective observational analytical cohort natural history of disease study. A minimum of at least 140 knees with healed nutritional rickets and angular knee deformities will be observed at regular three-monthly intervals over a period of at least one year. We will report two outcome variables namely; clinical and radiological tibio-femoral angle. And independent patient and deformity-related variables as age, sex, deformity type, severity and laterality. Inferential statistics namely bivariate and multivariate analysis will be employed accordingly to identify the relation between outcome variables and the different independent variables. Ethics and dissemination: This protocol study has been approved by the institutional research ethics committee. Results will be presented at conferences and submitted to relevant international and society publications. Authors will also communicate the results to their scholarly networks and post them on scholarly networking sites. Conclusions: This study has the potential for improving the decision-making process as to which patients deserve conservative treatment and which deserve surgical deformity correction. Results are expected to have an impact on the clinical practice of pediatricians, orthopedic surgeons and family physicians alike.