Miracle-dz/UniFAR-FTUs huggingface dataset:
A Preliminary Study on Industrial Landscape Planning and Spatial Layout in Belgium

As the material carrier of industrial heritage, industrial landscape planning integrates industrial heritage, post-industrial, and industrial tourism landscapes. In this study, we define the concept of industrial landscape planning. As a subsystem of urban planning, we study industrial landscape planning by using the theories and methods of urban planning. As an example, we consider Belgium and identify the main categories of industrial landscape planning as industrial heritage landscape and industrial tourism landscape. We use an ArcGIS spatial analysis tool and kernel density calculations and reveal the characteristics of four clusters of industrial heritage spatial layout in Belgium, which match its located industrial development route. Each cluster has unique regional characteristics that were spontaneously formed according to existing social and natural resources. At the level of urban planning, there is a lack of unified re-creation. Urban planning is relatively separated from the protection of industrial heritage in Belgium.
Quantifying the thermodynamic driving force of monolayer self-assembly at liquid-solid interfaces

This dissertation deals with the thermodynamic driving force of monolayer self-assembly at liquid-solid interfaces. Enthalpy and entropy contributions to the free energy are quantified separately and compared. Comparative studies of different self-assembled networks reveal influences of solvation, temperature, molecular structure as well as the type of intermolecular interactions.
Is Videoconference “Zoom” Fatigue Real among Nursing Students?

Videoconferencing became a popular platform for instructional delivery during the COVID-19 pandemic. With this sudden transition from traditional face-to-face instruction to a virtual platform, media and scholars began looking into a possibly new phenomenon of feeling exhausted and tired attributed to videoconferences or synchronous virtual meetings, known as videoconference fatigue or commonly referred to as Zoom fatigue (Bailenson, 2021; Bennett et al., 2021; Fauville et al., 2021a). A study recently found that those who use videoconferences primarily for study purposes had higher levels of videoconference fatigue than those who use videoconferences mainly for work purposes (Queiroz et al., 2021). Hence, we conducted an online cross-sectional survey to determine videoconference or Zoom fatigue among nursing students. We gathered data from 597 nursing students from a private university in the Philippines using the Zoom Exhaustion and Fatigue (ZEF) scale of Fauville et al. (2021a). We performed descriptive, comparative, and correlational data analyses. We demonstrated in this study that videoconference, or Zoom, fatigue is real and may have unpleasant consequences on nursing students. In our study, 46.9% and 19.8% experienced high and very high levels of videoconference fatigue, respectively, with a composite mean score of 3.82 ± . 70 in the ZEF scale. We also found that a negative attitude toward videoconferencing and higher intensity of use of videoconferences (longer and more frequent meetings) significantly result in higher experience of fatigue during virtual conferences. Additionally, those with an unstable internet connection, younger age, females, lower-income status, and having poor academic performance are more affected by videoconference fatigue (see Table 1). Our study generally supports earlier evidence on videoconference fatigue (Fauville et al., 2021a,b; Queiroz et al., 2021). Nursing schools should consider the undesirable impact of videoconferences on students and ascertain protective factors against videoconference fatigue.
Practical thinking while learning to program – novices’ experiences and hands-on encounters

ABSTRACT Background and Context Research in programming education seems to show that hands-on writing at the keyboard is beneficial for learning, but we lack an explanation of why that is and an underlying theory to anchor that explanation. Objective The first objective is to lay out a theoretical foundation for understanding the learning situation when novices first encounter programming in the computer lab. The second objective is to illustrate how this theoretical foundation can help give insight by applying it to an empirical study. Method Core concepts from Dewey’s pragmatic theory are combined with the thinking of Deleuze and the later Wittgenstein to form a theoretical framework. The main empirical data is seven student interviews, which were analyzed using a qualitative content analysis method in two steps, first analyzing the stated content and second through the lens of the theoretical framework. Findings Students’ learning processes can be understood as ‘come to agreement’ and habitual actions when doing programming as ‘practical thinking’. Implications Programming education can be reframed beyond the theory–practice dichotomy already rejected by pragmatism. This may have an impact on both course design and assessment, in that knowledge and measurement of knowledge have to be re-evaluated in a pragmatic light.
‘With respect for the core business’: on regionalist parties and their minister portfolios in government

ABSTRACT This article investigates the relationship between regionalist parties and the minister portfolios they control in government. A novel dataset was constructed which inventories a comprehensive collection of their minister posts (N = 1779). These stem from 77 different regionalist parties across 10 Western multilevel democracies throughout the post-Second World War period (1945–2020). An in-depth analysis shows that governing regionalist parties adhere closely to their ideological core business: territorial, cultural and institutional affairs form a major part of their ministerial responsibilities. The kind of ministries that regionalist parties hold differs between the regional and national levels of government. They obtain more key leadership positions regionally than nationally. Regionalist parties own a disproportionately high number of minister posts at the national level when compared with their actual seat share in parliament. The results from this study improve our understanding of the portfolio preferences and party strategies that regionalist parties employ when they participate in government.
Accurate density functional prediction of molecular electron affinity with the scaling corrected Kohn–Sham frontier orbital energies

ABSTRACT Electron affinity (EA) is the energy released when an additional electron is attached to an atom or a molecule. EA is a fundamental thermochemical property, and it is closely pertinent to other important properties such as electronegativity and hardness. However, accurate prediction of EA is difficult with density functional theory methods. The somewhat large error of the calculated EAs originates mainly from the intrinsic delocalisation error associated with the approximate exchange--correlation functional. In this work, we employ a previously developed non-empirical global scaling correction approach, which explicitly imposes the Perdew–Parr–Levy–Balduz condition to the approximate functional, and achieve a substantially improved accuracy for the calculated EAs. In our approach, the EA is given by the scaling corrected Kohn–Sham lowest unoccupied molecular orbital energy of the neutral molecule, without the need to carry out the self-consistent-field calculation for the anion.
Other knowings and experiencing otherness: Children’s perspectives of playing a hunting game in a nature reserve

Abstract This research study explored the experiences of children (aged 9–10 years), from four different primary schools, playing a hunting game in a nature reserve. Previous research shows that children’s play in green spaces can provide a number of benefits to children. However, there is a lack of research into children’s experiences of playing in bio-diverse environments. This study sought to find out how children (aged 9–10 years) “playing” the role of animals in a nature reserve could enable them to experience different ways of being and different ways of understanding their relationship with the world around them. The study employed a qualitative phenomenological design that aimed to interpret the first-person lived experiences of the children playing in the nature reserve. Four classes from four different primary schools took part in the study. Six children from each class were interviewed and analysis of their responses generated a number of different themes. The results suggest that playing the hunting game in a biodiverse environment does offer states of being and knowings that are not as accessible in schools. Playing the role of an animal had afforded the children with an accentuated, embodied experience, offering insight into the otherness of the more-than-human world.
Investigating habitat heterogeneity of Late Pleistocene archaeological sites in eastern Africa from stable isotopes

ABSTRACT Site-specific habitat reconstructions in the form of faunal enamel stable carbon and oxygen isotope data allow for a finer assessment of the context of Homo sapiens in eastern Africa. To date, these studies have focused on a small collection of sites within a constrained spatiotemporal scope. Here, I analyse a compilation of faunal stable isotopes from the Kibish Formation and Porc Epic Cave, Ethiopia, and Rusinga and Mfangano Islands, Karungu, Lukenya Hill, and Panga ya Saidi, Kenya. New data for primate and notably Homo sapiens at Porc Epic are presented. Faunal isotope data indicate that the Lake Victoria and northern Lake Turkana basins were dominated by open grasslands between ~ 105 ka and 50 ka. Sites near the Ethiopian Rift and closer to the coast were at least in part buffered from the environmental changes that occurred further inland. In the following period, ~ 49 ka – 20 ka, inland sites see more wooded conditions while Panga ya Saidi at the coast becomes drier. This compilation provides evidence for spatial and temporal trends in local habitats necessary for understanding the mechanisms through which human populations exchanged genes, ideas, and behaviours during the Late Pleistocene.
GIScience II: Newness and imminence

In this second report, I discuss the role of newness in GIScience, drawing distinctions between ‘the new’, as a state of emergent technology and technical situation, and imminence, a state of happenings and becomings. I suggest that GIScience often reduces the two to each other – what is imminent is that which is new – with specific implications for the use of geospatial techniques and technologies in explicitly radical, critical, and anti-racist projects. To engage in this work means often to make do with what is available and accessible, with no less need for experimentation and innovation.
Bortezomib Induced Subconjunctival Hemorrhage

Many drugs are used in the treatment of multiple myeloma but Thalidomide, Lenalidomide, Bortezomib, dexamethasone and their combination remains the main stay of treatment. The molecular formula of bortezomib is C 19 H 25 BN 4 O 4 and its chemical IUPAC name is [3-methyl-1-(3-phenyl-2-pyrazin-2-ylcarbonylamino-propanoyl) amino-butyl] boronic acid. Mechanisms by which it acts is usually by 26 SProteasome inhibition leading to degradation of anti-apoptotic proteins. Bortezomib is known to cause many side effects. So hence we report a rare case of Bortezomib induced subconjunctival hemorrhage in our tertiary care hospital. KEYWORDS: Bortezomib, Adverse effect, Proteosome inhibition, Subconjunctival Hemorrhage
Toward understanding the adsorption mechanism of large size organic corrosion inhibitors on an Fe(110) surface using the DFTB method

One of the effective methods developed to inhibit the corrosion of steel is the use of organic molecules as corrosion inhibitors. In particular, the design and synthesis of large size organic corrosion inhibitors draws more and more attention. Unfortunately, an atomic-level insight into the inhibition mechanism is still lacking, and regular density functional theory method is found to be inefficient in dealing with large inhibitor–metal adsorption systems. Given this background, in this work, density functional based tight binding (DFTB) approach was used to investigate the adsorption properties of three large size inhibitors (i.e., chalcone derivatives) on an iron surface. The molecular activity of free chalcone derivatives was studied by means of Frontier molecular orbital theory. The growth characteristics of α-Fe habits were observed using the “Morphology” software. Some adsorption parameters such as charge density difference, density of states, and changes of molecular orbital were described in detail. The present study is helpful to understand the anticorrosive mechanism of similar organic inhibitors and provides a feasible way to develop novel corrosion inhibitors.
Towards Generating and Evaluating Iconographic Image Captions of Artworks

To automatically generate accurate and meaningful textual descriptions of images is an ongoing research challenge. Recently, a lot of progress has been made by adopting multimodal deep learning approaches for integrating vision and language. However, the task of developing image captioning models is most commonly addressed using datasets of natural images, while not many contributions have been made in the domain of artwork images. One of the main reasons for that is the lack of large-scale art datasets of adequate image-text pairs. Another reason is the fact that generating accurate descriptions of artwork images is particularly challenging because descriptions of artworks are more complex and can include multiple levels of interpretation. It is therefore also especially difficult to effectively evaluate generated captions of artwork images. The aim of this work is to address some of those challenges by utilizing a large-scale dataset of artwork images annotated with concepts from the Iconclass classification system. Using this dataset, a captioning model is developed by fine-tuning a transformer-based vision-language pretrained model. Due to the complex relations between image and text pairs in the domain of artwork images, the generated captions are evaluated using several quantitative and qualitative approaches. The performance is assessed using standard image captioning metrics and a recently introduced reference-free metric. The quality of the generated captions and the model’s capacity to generalize to new data is explored by employing the model to another art dataset to compare the relation between commonly generated captions and the genre of artworks. The overall results suggest that the model can generate meaningful captions that indicate a stronger relevance to the art historical context, particularly in comparison to captions obtained from models trained only on natural image datasets.
Improving the Accuracy of Gridded Population Estimates in Cities and Slums to Monitor SDG 11: Evidence from a Simulation Study in Namibia

People living in slums and other deprived areas in low- and middle-income country (LMIC) cities are under-represented in censuses, and subsequently in "top-down" gridded population estimates. Modelled gridded population data are a unique source of disaggregated population information to calculate local development indicators such as the Sustainable Development Goals (SDGs). This study evaluates if, and how, WorldPop-Global (WPG) -Unconstrained and -Constrained “top-down” datasets might be improved in a simulated realistic LMIC urban population by incorporating slum profile population counts into model training. We found that the WPG-Unconstrained model with or without slum training data grossly underestimated population in urban deprived areas while grossly overestimating population in rural areas. SDG 11.1. 1, the percent of population living in slums, for example, was estimated to be 20% or less compared to a "true" value of 29.5%. The WPG-Constrained model, which included building auxiliary datasets, far more accurately estimated the population in all grid cells (including rural areas), and the inclusion of slum training data further improved estimates such that SDG 11.1. 1 was estimated at 27.1% and 27.0%, respectively. Inclusion of building metrics and slum training data in “top-down” gridded population models can substantially improve grid cell-level accuracy in both urban and rural areas.
Cryogel-Integrated Biochip for Liver Tissue Engineering

Microfluidic systems and polymer hydrogels have been widely developed for tissue engineering. Yet, only a few tools combining both approaches, especially for in vitro liver models, are being explored. In this study, an alginate-based cryogel-integrated biochip was engineered for dynamic hepatoma cell line culture in three dimensions (3D). The alginate cryogel was covalently cross-linked in the biochip at subzero temperatures (T < 0 °C) to create a scaffold with high mechanical stability and an interconnected macroporous network. By varying the alginate concentration and the cross-linker ratio, Young's modulus of the cryogel can be fine-tuned between 1.5 and 29 kPa, corresponding to the range of stiffness of the different physiological states of the liver. We demonstrated that HepG2/C3A cells can be cultured and maintained as viable under dynamic conditions in this device up to 6 days. Albumin synthesis and glucose consumption increased over the cell culture days. Moreover, a 3D cell structure was observed across the entire height of the biochip, which was preserved following alginate lyase treatment to remove the cryogel-based scaffold. In summary, these results represent a proof of concept of an interesting cell culture technology that should be further investigated to engineer healthy and cirrhotic liver models.
Muscle strength in young children perinatally infected with HIV who were initiated on antiretroviral therapy early

Background. As children with perinatally acquired HIV (PHIV) are living longer, long-term physical sequelae of the disease are becoming more pertinent. Muscle strength is known to be adversely affected in adults infected with HIV but little is known about the muscle strength of children with PHIV. Objectives. To determine the muscle strength of children perinatally infected with HIV compared with an uninfected control group. Associations between clinical and anthropometric variables and muscle strength were investigated. Methods. In this cross-sectional descriptive study, 175 children who acquired HIV perinatally and 171 children who were HIV-uninfected had their muscle strength assessed by hand-held dynamometry and the ‘make test’. Clinical data were extracted from the children’s clinic files. Height and weight were assessed using a stadiometer and a digital scale, respectively. Children were between the ages of 5 and 11 years of age at assessment. The children living with HIV had all been initiated on antiretroviral treatment (ART) at a young age (mean (standard deviation (SD)) 8.7 (6.7) months) and their disease was well controlled. Results. Despite the children with HIV presenting with significantly lower height, weight and body mass index (BMI) for age z-scores, there was no statistical difference in muscle strength between the two groups. BMI and Tanner staging were associated with muscle strength in both groups. Conclusions. Children who are initiated on ART at an early age and whose disease is well controlled are able to attain near-normal muscle strength. Longitudinal follow-up of these children as they go through puberty is warranted.
Campaign Advertising and the Cultivation of Crime Worry: Testing Relationships With Two Large Datasets From the 2016 U.S. Election Cycle

Previous research has documented that political information in the mass media can shape attitudes and behaviors beyond voter choice and election turnout. The current study extends this body of work to examine associations between televised political campaign advertising (one of the most common forms of political communication people encounter) and worry about crime and violence in the context of the 2016 U.S. presidential election. We merge two large datasets—Kantar/CMAG data on televised campaign advertisement airings (n = 3,767,477) and Simmons National Consumer Survey (NCS) data on television viewing patterns and public attitudes (n = 26,703 respondents in the United States)—to test associations between estimated exposure to campaign ads about crime and crime worry, controlling for demographics, local crime rates, and political factors. Results from multivariate models show that estimated cumulative exposure to campaign ads about crime is associated with higher levels of crime worry. Exposure to campaign ads about crime increased crime worry among Republicans, but not Democrats.
Outgroup threat and the emergence of cohesive groups: A cross-cultural examination

Evolutionary models and empirical evidence suggest that outgroup threat is one of the strongest factors inducing group cohesion; however, little is known about the process of forming such cohesive groups. We investigated how outgroup threat galvanizes individuals to affiliate with others to form engaged units that are willing to act on behalf of their in-group. A total of 864 participants from six countries were randomly assigned to an outgroup threat, environmental threat, or no-threat condition. We measured the process of group formation through physical proximity and movement mirroring along with activity toward threat resolution, and found that outgroup threat induced activity and heightened mirroring in males. We also observed higher mirroring and proximity in participants who perceived the outgroup threat as a real danger, albeit the latter results were imprecisely estimated. Together, these findings help understand how sharing subtle behavioral cues influences collaborative aggregation of people under threat.
What improves smart meters' implementation? A statistical meta-analysis on smart meters' acceptance

PurposeThis article aims to compare smart meters' acceptance studies worldwide to consolidate trends and highlight factors that are not a consensus.Design/methodology/approachThis work performs a statistical meta-analysis, using the Hunter–Schmidt method and the UTAUT2 model, of the factors of acceptance of smart meters in the world literature. A meta-regression was also conducted to verify the moderation exercised by gender, level of education and timeline context of the articles.FindingsThe main results point to hedonic motivation, performance expectancy and effort expectancy as the leading influencers for smart meter's acceptance. Meta-regression indicates that the influence is more significant among the male gender and that over the years, the social influence must gain weight in the smart meter's acceptance.Social implicationsSpecific strategies are suggested to improve projects for the implementation of smart meters based on the obtained results.Originality/valueThe contribution given by this work is relevant, considering it is the first meta-analysis focused on smart meters' acceptance published in the literature