Miracle-dz/UniFAR-FTUs huggingface dataset:
Improvement of Propylene Epoxidation Caused by Silver Plasmon Excitation by UV-LED Irradiation on a Sodium-Modified Silver Catalyst Supported on Strontium Carbonate

The effect that UV-LED irradiation exerted on a sodium-modified silver catalyst supported on strontium carbonate (Ag-Na/SrCO3) was examined during an epoxidation of propylene to propylene oxide. Based on our previous study, we used Ag(56)-Na(1)/SrCO3 in this study. The numbers in parentheses refer to the weight percentage of silver and sodium. Although this catalyst system did not contain typical photocatalysts such as titanium oxide or tungsten oxide, UV-LED irradiation of Ag(56)-Na(1)/SrCO3 resulted in an evident improvement in the selectivity and yield of propylene oxide. Such an advantageous effect of UV-LED irradiation could not be discussed based on the bandgap used in photocatalysts and, therefore, we proposed a mechanism based on the plasmon excitation of silver, which could be accomplished using the irradiation wavelength of UV-LED to produce electrons. Since the lifespan of these electrons is expected to be short, it is difficult to place them into direct contact with the gas phase of oxygen. Once the generated electrons move to SrCO3, however, the lifespan is improved, which could allow suitable contact with oxygen in the gas phase to form active oxygen. If the oxygen is active for epoxidation as hydrogen peroxide, this could explain the improvement in activity from UV-LED irradiation.
Testing the Accuracy of the Cell-Set Model Applied on Vane-Type Sub-Boundary Layer Vortex Generators

Vortex Generators (VGs) are applied before the expected region of separation of the boundary layer in order to delay or remove the flow separation. Although their height is usually similar to that of the boundary layer, in some applications, lower VGs are used, Sub-Boundary Layer Vortex Generators (SBVGs), since this reduces the drag coefficient. Numerical simulations of sub-boundary layer vane-type vortex generators on a flat plate in a negligible pressure gradient flow were conducted using the fully resolved mesh model and the cell-set model, with the aim on assessing the accuracy of the cell-set model with Reynolds-Averaged Navier-Stokes (RANS) and Large Eddy Simulation (LES) turbulence modelling techniques. The implementation of the cell-set model has supposed savings of the 40% in terms of computational time. The vortexes generated on the wake behind the VG; vortical structure of the primary vortex; and its path, size, strength, and produced wall shear stress have been studied. The results show good agreements between meshing models in the higher VGs, but slight discrepancies on the lower ones. These disparities are more pronounced with LES. Further study of the cell-set model is proposed, since its implementation entails great computational time and resources savings.
Bottom‐up effects of fungicides on tadpoles of the European common frog (Rana temporaria)

Abstract Biodiversity is under pressure worldwide, with amphibians being particularly threatened. Stressors related to human activity, such as chemicals, are contributing to this decline. It remains, however, unclear whether chemicals exhibiting a fungicidal activity could indirectly affect tadpoles that depend on microbially conditioned leaf litter as food source. The indirect effect of fungicides (sum concentration of a fungicide mixture composed of azoxystrobin, carbendazim, cyprodinil, quinoxyfen, and tebuconazole: 100 µg/L) on tadpoles was assessed relative to leaf litter colonized by microbes in absence of fungicides (control) and a worst‐case scenario, that is leached leaf litter without microbial colonization. The quality of leaf litter as food for tadpoles of the European common frog (Rana temporaria) was characterized through neutral lipid fatty acid profiles and microbial sum parameters and verified by sublethal responses in tadpoles (i.e., feeding rate, feces production, growth, and fatty acid composition). Fungicides changed the nutritious quality of leaf litter likely through alterations in leaves’ neutral lipid fatty acid profiles (i.e., changes in some physiologically important highly unsaturated fatty acids reached more than 200%) in combination with a potential adsorption onto leaves during conditioning. These changes were reflected by differences in the development of tadpoles ultimately resulting in an earlier start of metamorphosis. Our data provide a first indication that fungicides potentially affect tadpole development indirectly through bottom‐up effects. This pathway is so far not addressed in fungicide environmental risk assessment and merits further attention.
A RANS-BEM Method to Efficiently Include Appendage Effects in RANS-Based Hull Shape Evaluation

Abstract. In this paper an approach to mimic the influence of appendages on the pressure distribution on a boat’s hull in RANS simulations is given. While, of course, the appendages could be modelled explicitly in the RANS simulation, this significantly increases the cell count and CPU-time requirements of the simulations, particularly for boats with multiple appendages. In this approach it is assumed that the pressure fields generated by the appendages can be decomposed into two parts: one related to lift (asymmetric) and one related to the displaced volume (symmetric). For these parts actuator line momentum theory is utilized, and doublet mass sources are described based on potential flow theory. An initial assessment of the approach’s capabilities and accuracy is presented based on the SYRF wide light series (Claughton, 2015), showing good promise. An application example with particular focus on the reduction of CPU-time requirement is given based on a boat fitted with canting keel and DSS foil.
Planning from Failure: Transforming a Waterfront through Experimentation in a Placemaking Living Lab

This article assesses on what happens when planning by experiment becomes imperative for strategic city sites such as waterfronts due to the failure of other forms of centralised, top-down, or market-led planning. Through an in-depth case-based analysis of La Marina de Valencia (LMdV) we investigate the potential of experimentation for revitalisation of city sites. To do this, we first review the literature on urban development approaches to identify specific issues that lead to urban planning failure. We then extend the scholarship on urban experimentation by proposing a definition of place-based experimentation as ‘relational process. ’ Then, we explore how planning by experiment emerged as a response to planning failures in a broader strategy for revitalisation of LMdV. We propose key processes for planning by experiment through a Placemaking Living Lab based on perception, collaboration, and iteration, which we use to assess experimentation at LMdV. In the conclusion we discuss the potential of this approach to ‘planning by experiment’ to revitalise urban governance and planning processes in cities and their strategic sites.
The Effect of Healthcare Education on Future Doctors’ Moral Competence in Poland. Joining to the Competitive League with a Beneficial Delay?

In competitive education test scores and scientometric indicators are 'the alpha and omega'. This can be mis-educative for healthcare students’ moral competence. A pilot research study with n=114 Polish healthcare students was conducted to examine how their moral competence development was affected by learning environment with the focus on competition. Data were obtained with the standard Moral Competence Test. Results. The sample allowed the identification of a regress in moral competence during students’ pre-clinical curriculum, and then progress during their clinical curriculum. Also, a reverse gender gap effect concerning participants’ C-scores (C for moral competence) was observed, but no significant segmentation effect was noticed. Explanations. Scholarly literature usually suggests a decrease or stagnation of medical and healthcare students’ C-scores (particularly during their clinical curriculum) resulting from, e.g., competitive trends in higher education. Polish tertiary education only tries hard to increase its competitiveness and position in national and international rankings. This delay effect seems beneficial for the development of students’ moral competence against trends in moral competence education during medical education documented between 1983 and 2021, and additionally discussed in the following article.
Dental Antibiotic Prophylaxis and Prosthetic Joint Infections: A Narrative Review

Prosthetic joint infection (PJI) is the 3rd most common cause of revision in total hip arthroplasty (THA) and the most common cause of revision in total knee arthroplasty (TKA). It is associated with high costs/economic burden and mortality. The most common cause of late PJI is due to haematogenous seedling of bacteria into the joint from remote site infection (RSI). Oral flora constitutes 6-13% of burden in PJI. Dental interventions in patients who have undergone joint replacement surgery (JRS) are at increased risk of PJI due to bacteraemia. Dental antibiotic prophylaxes (DAP) are known to reduce this bacteraemia which in-turn may reduce the incidence of PJI. Significant controversy exists Re: the role and use of DAP in preventing PJI. This narrative review attempts to answer key questions surrounding its use based on extensive literature review in English language over past four decades. The existing evidence is at best low and of poor quality with few comparative clinical trials that had assessed the incidence of PJI with DAP. Several systematic reviews have concluded that the existing evidence at best is inconclusive. The best existing guideline is the updated 2017 American Academy of Orthopaedic Surgeons (AAOS)-American Dental Association (ADA): Appropriate Use Criteria (AUC) that recommends shared-decision making taking individual risk factors into consideration with patients’ input. DAP are recommended only in at-risk patients and is neither cost-effective nor recommended for all cases. The risk of PJI is highest in the first two years of JRS. Regular 6-12monthly dental visits, good oral hygiene and collaboration between Surgeons and Dentists facilitate providing a high quality of care thus minimizing the incidence of PJIs.
Climate and land‐use change drive habitat loss in a mountain bird species

Mountain areas still feature remnants of traditional land use and consequently constitute a large proportion of the remaining species-rich habitats in Central Europe. However, their biodiversity is increasingly threatened by changes in climate and land use. The Alpine Ring Ouzel Turdus torquatus alpestris is a typical mountain bird that has recently declined in most of its breeding range. In this study we compared the historical (1986–1987) and recent (2017) distribution of breeding Ring Ouzels in 62 randomly selected 750 × 750 -m plots and analysed local colonization and extinction patterns in 558 subunits (= ‘grid cells’) in the southern Black Forest (south-western Germany). Our study revealed that habitat occupancy has decreased by about one-third, mainly at lower elevations and in depressed landforms, during the past three decades. Local colonization amounted to 25% and extinction to 66% of the previously vacant or occupied grid cells, respectively. Habitat occupancy and local colonization and extinction were driven by climate and habitat parameters. The Ring Ouzel preferred convex landscape formations such as mountain peaks and ridges with long snow-cover duration for breeding. Sites with high proportions of deciduous forest and abandoned pasture were avoided. Local colonization was higher at convex landscape formations and by high coniferous forest coverage and forest-edge length. Local extinction, on the other hand, was lower at convex landscape formations and high-elevation sites. Our results suggest that shorter persistence of snow fields caused by climate change and degradation of feeding grounds through land-use abandonment might severely deteriorate food availability for the species, which is likely to have contributed to the observed decline. For conservation of the Alpine Ring Ouzel, we recommend adopting measures to mitigate the negative effects of climate warming and improve habitat quality. The creation of small-scale mosaics of sparse conifer forests and regularly grazed pastures, especially on northand east-facing slopes on the lee sides of hills, mountain peaks or ridges, should be supported.
Status differentials and framing in the implementation of IT‐enabled task migration strategies

In globally distributed environments, gaps exist between an organisational‐level decision to migrate IT‐enabled tasks and the actual execution of strategy since a high‐level consensus does not always specify the precise sequencing and pacing of task migration in detail. This absence of operational‐level detailing can trigger status‐led enactments of power. Drawing on a qualitative case study of a distributed finance function in a global logistics firm, this paper explores how high‐status business units (BU) frame their task migration actions and contrasts it with how a low‐status support unit frames and accounts for the actions of high‐status BUs. The findings show how high‐status BUs frame their own actions as protecting, supporting and monitoring the migrated tasks while the low‐status support unit frames the same set of actions as resisting, interfering and hypercriticizing. Theoretically, the paper suggests that during the implementation of task migration strategies, frames deployed by a low‐status unit considers its weaker position of power and serves to neutralise conflict with the more powerful, higher‐status unit.
The effect of mobility restrictions on the SARS-CoV-2 diffusion: lessons from the first wave in Sweden, USA, France and Colombia.

The control of human mobility has quickly been targeted as a major leverage to contain the spread of SARS-CoV-2 in a great majority of countries worldwide. Using more than 151 million anonymized movements registered by one of the major social media platforms combined with spatial and temporal Covid-19 data, the objective of this research is to understand how mobility patterns and SARS-CoV-2 diffusion during the first wave are connected in four different countries: the west coast of the USA, Colombia, Sweden and France. In this research, we could demonstrate that introducing movement improved considerably the model. It underlines as well that mobility played an important role in the diffusion of SARS-CoV-2, even during the lockdown, suggesting a moderate impact of lockdown on virus diffusion. However, it suggests that government could better locate where disease mitigation would be the most effective by systematically analyzing real-time movements of population. Lockdown strategies and vaccination campaigns could, for example, be prioritized according to spatial vulnerability and connectivity to hotspots of viral circulation.
The equivalent method of double V-wing honeycombs on the in-plane dynamic impact

The double V-wing honeycomb can be applied in many fields because of its lower mass and higher performance. In this study, the volume, in-plane elastic modulus and unit cell area of the double V-wing honeycomb were analytically derived, which became parts of the theoretical basis of the novel equivalent method. Based on mass, plateau load, in-plane elastic modulus, compression strain and energy absorption of the double V-wing honeycomb, a novel equivalent method mapping relationship between the thickness–width ratio and the basic parameters was established. The various size factor of the equivalent honeycomb model was denoted as n and constructed by the explicit finite element analysis method. The mechanical properties and energy absorption performance for equivalent honeycombs were investigated and compared with hexagonal honeycombs under dynamic impact. Numerical results showed a well coincidence for each honeycomb under dynamic impact before 0.009 s. Honeycombs with the same thickness–width ratio had similar mechanical properties and energy absorption characteristics. The equivalent method was verified by theoretical analysis, finite element analysis and experimental testing. Equivalent honeycombs exceeded the initial honeycomb in performance efficiency. Improvement of performance and weight loss reached 173.9% and 13.3% to the initial honeycomb. The double V-wing honeycomb possessed stronger impact resistance and better load-bearing capacity than the hexagonal honeycomb under impact in this study. The equivalent method could be applied to select the optimum honeycomb based on requirements and improve the efficiency of the double V-wing honeycomb.
Dynamically tunable intravascular catheter delivery of hydrogels for endovascular embolization

Herein, we demonstrate a method of intravascular catheter-based extrusion of hydrogels with in situ photomodulation to dynamically adjust the hydrogel properties utilizing a custom catheter setup. A novel UV-integrated microcatheter (luminal diameter 0.9 mm) was assembled and a suite of low-viscosity, shear thinning hydrogel precursors were formulated for delivery. We show that by modulating the precursor flow rate (up to 0.2 ml/min) as well as the UV power (0–37.5 mW), we can extrude hydrogels with viscosities dynamically varying from < 1 to 584 Pa s. To demonstrate the initial utility of this system, we successfully performed embolization of a saccular aneurysm model (diameter ~ 12 mm) with a pulsatile vascular flow phantom. These findings yield direct application ideas in clinical therapeutics such as vascular embolization in a variety of disease states, including cerebral aneurysms, arteriovenous malformations, vascularized tumors, and hemorrhagic vessels.
Listening Between the Lines: How a Theoretical Framework Prevents Superficial Analysis in Qualitative Research

As quantitative methods dominate the field of clinical psychology, qualitative inquiry struggles to live up to its full potential. The ubiquitous quantitative criteria and epistemology lead to a flawed idea of objectivity, pursued by many qualitative researchers in an attempt to be taken seriously. Therefore, they try to avoid any possible theoretical influence. This often creates a fear for really interpreting data. However, it seems that instead of leading to higher quality research, this rather leads to superficial analyses. In this chapter, I show, based on my own recent research regarding the experience of negative symptoms in psychosis, how theory-use led to more in-depth analyses. Our study consisted of an Interpretative Phenomenological Analysis of interviews with twelve patients with psychosis about their negative symptoms. During the earlier phases of research, we stayed close to the data and tried to bracket our theoretical assumptions as much as possible. However, when coming to our final analysis, we approached the data more through a theoretical lens. This way we were able to lift our analysis from what was rather a summary of what our participants told to a deeper understanding of the process of negative symptoms.
Monitoring the Organic Matter Quality Highlights the Ways in Which Organic Matter Is Removed from Wetland Soil

It has long been considered that ferric phases stabilize organic matter (OM) in soils. Temporarily waterlogged soils, in which Fe is submitted to regular reductive solubilization and oxidizing precipitation, have often been used to study these processes. However, few studies have been interested in the evolution of the OM quality under such conditions. We therefore experimentally investigated the impact of a redox cycle on the quality of the dissolved organic matter (DOM) from wetland soil. The DOM quality was monitored using a combination of analyses run on the elements (%C, %N, C/N), isotopes (δ15N, δ13C), optical index (specific UV absorbance at 254 nm), and fluorescence indexes (FI, HIX, BIX). In addition, the cation and anion concentrations were also determined in the soil solutions throughout the experiment. As classically demonstrated, OM is solubilized as terrestrial aromatic molecules in the first stage of the reducing period, and then as nonaromatic molecules until the end of the reduction, in response to the dissimilatory reductive dissolution of Fe-oxyhydroxides in the soil. More interestingly, we demonstrate that the reintroduction of O2 involves significant lysis of reducing bacterial cells involving the production of small labile organic carbon which represents a significant pathway for OM degradation. Moreover, in response to the physical constraints, the newly formed Fe-OM precipitates produce small aggregates rich in aromatic OM that are expected to disseminate in the environment, representing a second significant way to remove OM.
‘Informed consent’ in consensual child welfare: some reflections on its controversial nature

ABSTRACT The article examines the nature of consent in the context of Finnish care order decision-making as described by social workers, parents and young people, all personally involved in care order decision-making, albeit in different roles: on the one hand, an authority asking for the view about a child removal, and on the other, a party expressing a view which has huge legal, social and moral implications for their family relations. Based on qualitative data, the analysis examines two criteria for informed consent: adequate information and freedom from undue influence. The findings highlight the messy and blurred nature of consent that is found in other fields of practice as well. There are, however, some distinctive features relevant to consensual services in child welfare which need to be further elaborated. In particular, family relationality shapes the nature of consent through intra-familial power and emotions, differently for parents and children. Critical awareness of the nature of consent is also important for an understanding of service-user participation and self-determination.
An improved nonlinear smooth twin support vector regression based‐behavioral model for joint compensation of frequency‐dependent transmitter nonlinearities

In this article, an improved nonlinear smooth twin support vector regression (NSTSVR) model is proposed for the modeling and compensating of the transmitter nonlinearities jointly. The proposed model is an improved version of the twin support vector regression (TSVR) model by introducing a smooth function to replace the loss function of TSVR, which can change the dual space solution to the original space solution and speed up the solving solution. In addition, in order to solve the problem of long training time for large sample data in traditional SVR or TSVR model, the new algorithm further adopts the model pruning techniques, such as deleting the kernel matrix and finding sparse diagonal matrices, to reduce the size of the Hessian matrix in the fast Newton iteration process. To verify the performance of the proposed model, two transmitters based on single‐device gallium nitride (GaN) PA with IQ imbalance and GaN Doherty PA with modulator imperfections are used for experimental verification and analysis. The experimental results show that the proposed model is superior to the conventional support vector regression and TSVR machine learning models in terms of modeling effect and linearization ability. Furthermore, the proposed model can achieve the improved compensation performance for transmitter impairments compared with some popular Volterra series‐based I/Q imbalance models.