Miracle-dz/UniFAR-FTUs huggingface dataset:
Bench to Bedside? Boundary Spanning in Academic Health Science Centres

The problem of mobilising research generated knowledge into practice has received increasing attention from policy makers and scholars internationally. Academic Health Science Centres (AHSCs) are partnerships between universities and hospitals which aim to use research discoveries to improve patient care. Despite their complexity and recent international spread, they have not received much attention from social science. This thesis, as a study of this emergent organisational form, contributes to addressing this gap. It conceptualises the ‘bench to bedside’ knowledge mobilisation process within two English AHSC cases as ‘boundary work’ between the domains of research and clinical practice. By analysing qualitative data collected through semi structured interviews (48), observations (130+ hours) and documentary analysis at micro (research/clinical teams) and meso (organisational) levels, it addressed the research question: What boundary processes mobilise knowledge within Academic Health Science Centres? Epistemic, professional and organisational framings were all important conceptualisations of the research/clinical practice boundary. Epistemic elements motivated knowledge mobilisation, with organisational boundaries often proving least permeable. The most effective boundary work encompassed all three. Networked forms of governance prevailed at the organisational level. Joint fields of practice emerged at the micro level with key (instrumental and symbolic) spanning mechanisms including professional hybrids as boundary spanners (e.g. clinician scientists), and objects (e.g. shared data). The ‘bench to bedside’ heuristic operated as an overarching boundary concept, motivationally powerful yet vague enough to bring together diverse groups. This study is one of few to consider the early development of AHSCs from a social science perspective. It contributes empirically and theoretically to the knowledge mobilisation and boundary literature by focussing analysis on the research and clinical practice boundary (as a space for new practice) and the people and objects that work across it, particularly centring on the under-researched role of organisation in this process.
Photodynamically induced behavioural responses of the colourless flagellate <Emphasis Type="Italic">Polytomella magna </Emphasis>: Effects of methylene blue

Abstract. The colourless, stigma-free flagellate Polytomella magna which does not show natural responses to light becomes sensitive to light in the presence of photodynamically active dyes, sucia as riboflavin, methylene blue. toluylene blue, thionine, toluidine blue, neutral red and tose bengal, provided that oxygen is present. This reaction resulting in a light avoiding response depends neither on the absorption characteristics nor on the redox properties of the dyes. Detailed studies with methylene blue have shown that this response depends on the photon fluence rate and the dye concentration as well. The aetion spectrum of the photodispersal calculated on the basis of photon fluente rate-response curves is essentially identical with the absorption spectrum of methylene blue, i.e. no responses occurred below 530 and above 700 nm. Pre-irradiation experiments have shown that methylene blue is photobleached and, hence, inactivated in the presence bu~ not in the absence of oxygen. Moreover, it has been demonstrated that the methylene blue mediated responses ate chemotactic rather '. han photophobic ones. These experiments confirm the results of earlier investigations with riboflavin.
SIF AND FINITE ELEMENT SOLUTIONS FOR CORNER SINGULARITIES

In [7, 8] they introduced a new ﬁnite element method for accurate numerical solutions of Poisson equations with corner singularities. They consider the Poisson equations with homogeneous boundary conditions, compute the ﬁnite element solutions using standard FEM and use the extraction formula to compute the stress intensity factor(s), then they posed new PDE with a regular solution by imposing the nonhomogeneous boundary condition using the computed stress intensity factor(s), which converges with optimal speed. From the solution they could get an accu- rate solution just by adding the singular part. Their algorithm involves an iteration and the iteration number depends on the acuracy of stress intensity factors, which is usually obtained by extraction formula which use the ﬁnite element solutions computed by standard Finite Element Method. In this paper we investigate the dependence of the iteration number on the convergence of stress intensity factors and give a way to reduce the iteration number, together with some numerical experiments.
Assessment of the main rheological parameters of rocks during field development

The total rock pressure on a formation wing is greater than the lateral pressure, and on the fold, on the contrary, the lateral rock pressure is greater than the total pressure. As a result, the formation material flows from wing zones to the fold, as a result of which the formation thickness on the fold increases, as noted by the studies of Soviet scientists. The study of the mechanism of hydraulic fracturing during water injection revealed large fracturing pressures in wells located in reduced parts of the structure (fold wings), and smaller pressures – in elevated parts (fold). The study showed that if the rock of the well bore zone is destabilized during field development for well operation, fresh water causes hydration and swelling or dispersion of clays, which act as the rock cementing material. This can both lead to a decrease in permeability and to the destruction of the well bore zone. This effect during well development may be prevented by using mineralized reservoir water or fresh water with hydration inhibitor additives such as NaCl (5-10%), CaCl2 (1-3%), KC1 (1-3%). Another complication in well completion is the colmatation of the well bore zone. In order to ensure the stability of the fixed part of the formation behind tubing in the bottomhole zone, there is a need to ensure the static equilibrium in the porous medium. Rocks with low rheological properties (low relaxation rate) provide longer resistance of the well bore zone to destruction.
Probabilistic and statistical justification of the forecast of oil and gas potential in the area with established industrial oil capacity

The article provides an example of an integrated approach to geological exploration in an area with an established industrial oil capacity. This approach is based on the analysis of the geological structure of the area under consideration and the stochastic assessment of the resources of the prospects using the Monte-Carlo simulation. Within the area under consideration, two regions were allocated for separate forecasting of the oil and gas potential of the prospects: south-western and north-eastern. Potentially oil and gas-bearing structures have been established in each region: in the south-western region, all structures are classified as unpromising, in the north-eastern region – as exploration targets. For each structure in the north-eastern region, possible oil-bearing areas were calculated, analog fields were selected for the probabilistic assessment of the prepared resources using the Monte-Carlo simulation. Based on the results of the evaluation, the most exploration target was selected.
Contrasting climate and carbon-cycle consequences of fossil-fuel use versus deforestation disturbance

Carbon dioxide emissions from deforestation disturbance (e.g. clear-cutting, forest fires) are in the same units as carbon dioxide emissions from fossil fuels. However, if the forest is allowed to regrow, there is a large difference between climate effects of that forest disturbance and climate effects of fossil CO2. In this study, using a set of idealized global climate-carbon model simulations with equal amounts of CO2 emissions, we show that on century to millennial timescales the response of the climate system to fossil-fuel burning versus deforestation disturbance are vastly different. We performed two 1000 year simulations where we add abrupt emissions of about 600 PgC to the preindustrial state as a consequence of either fossil fuel use or deforestation disturbance with vegetation regrowth. In the fossil fuel simulations, after 1000 years, about 20% of the initial atmospheric CO2 concentration perturbation remains in the atmosphere and the climate is about 1 °C warmer compared to preindustrial state. In contrast, in the case of deforestation with regrowth, after 1000 years, atmospheric CO2 concentration returns close to preindustrial values, because deforested land will typically recover its carbon over the decades and centuries in the absence of further human intervention. These results highlight the differences in the degree of long-term commitment associated with fossil-fuel versus deforestation emissions.
Indoor wideband channel measurements and analysis at 11 and 14 GHz

This study reports the results of an indoor propagation measurement campaign and channel characterisation at 11 and 14 GHz, which are the candidate bands for the future communication systems. The measurement procedure allows the characterisation of both the large- and small-scale statistics of line-of-sight (LOS) and non-LOS (NLOS) channels. Based on the measurements, a log-distance path loss model is proposed, and the root-mean-square (RMS) delay spread is discussed. A Nakagami distribution is found to well describe the statistics of the small-scale fading, by using Kolmogorov–Smirnov, Chi-square, and Anderson–Darling tests. A distance dependent linear model is proposed to predict the Nakagami m-parameter. In addition, the cross-correlations of these channel parameters are analysed based on measurements, and the cross-correlations between the shadow fading, RMS delay spread and m-factor can be clearly observed for LOS condition, whereas the obstruction of NLOS reduces the cross-correlations.
This information is current as Migration of Langerhans Cells In Vivo Rho-Family GTPase Cdc 42 Controls Brakebusch and Thomas Brocker

Epidermal Langerhans cells (LCs) of the skin represent the prototype migratory dendritic cell (DC) subtype. In the skin, they take up Ag, migrate to the draining lymph nodes, and contribute to Ag transport and immunity. Different depletion models for LCs have revealed contrasting roles and contributions of this cell type. To target the migratory properties of DCs, we generated mice lacking the Rho-family GTPase Cdc42 speciﬁcally in DCs. In these animals, the initial seeding of the epidermis with LCs is functional, resulting in slightly reduced Langerhans cell numbers. However, Cdc42-deﬁcient LCs fail to leave the skin in steady state as well as upon stimulation, as they do not enter the skin-draining afferent lymph vessels. Similarly, also other Cdc42-deﬁcient migratory DC subsets fail to home properly to the corresponding draining lymph nodes. We used this novel mouse model, in which LCs are locked out, to demonstrate that these cells contribute substantially to priming of Ag-speciﬁc CD4 and CD8 T cell responses upon epicutaneous immunization, but could not detect a role in the induction of contact hypersensitivity to various doses of hapten. The Journal of Immunology , 2013, 190: 000–000.
Determining erosion mechanisms in caves using 3D scanning

Caves are well known for their ability to preserve the past, including paleontological and archaeological remains. They also act as repository for dateable sediments that have been used to measure rates of landscape evolution [e.g. Granger et al., 1997, 2001]. Further, as the cave passages morphology is due to incision into bedrock, they fit under the definition of a bedrock channel of Turowski et al. [2008]. Such channels are well known to record past conditions such as climate, tectonics, and hydrology in their geometry [e.g Finnegan et al., 2005; Stark , 2006; Wobus et al., 2006, 2008; Amos and Burbank , 2007; Turowski et al., 2007, 2009; Yanites and Tucker , 2010]. Cave passages have an additional advantage over to surface bedrock channels as they are preserved from surface erosion, and have the ability to remain in a landscape over millions of years Palmer [2007b]; Gabrovšek [2002]; Osborne [2007]; Broak [2008]; Plotnick et al. [2015]. Further, some passages contain cuspate bedforms known as scallops, the geometry of which is known to be a function of local shear stress Curl [1966, 1974]; Blumberg and Curl [1974], providing a unique record indicative of past, formative flow conditions. Despite the amazing potential of cave morphology as a record of the past, the erosive
Near-optimal Thompson sampling-based algorithms for differentially private stochastic bandits

We address differentially private stochastic bandits. We present two (near)-optimal Thompson Sampling-based learning algorithms: DP-TS and Lazy-DP-TS. The core idea in achieving optimality is the principle of optimism in the face of uncertainty. We reshape the posterior distribution in an optimistic way as compared to the non-private Thompson Sampling. Our DP-TS achieves a bound, where A is the arm set, ∆ j is the sub-optimality gap of a sub-optimal arm j , and ϵ is the privacy parameter. Our Lazy-DP-TS gets rid of the extra log factor by using the idea of drop-ping observations. The regret of Lazy-DP-TS is (cid:80) , which matches the regret lower bound. Additionally, we conduct experiments to compare the empirical performance of our proposed algorithms with the existing optimal algorithms for differentially private stochastic bandits.
Rebuttal BG-2021-355 Local scale evaluation of the simulated interactions between energy, water and vegetation in land surface model

This work presents a systematic point-scale evaluation of two prognostic land surface models (LSMs) and one observation-driven diagnostic model across sev-eral measurement sites of the FLUXNET monitoring network. The assessment of models’ performance is focused on the simulated latent heat flux (LE), gross primary production (GPP), soil moisture, and leaf area index (LAI). Overall, this manuscript aims at disentangling the relative role of soil moisture and leaf area index in explaining the key models’ weaknesses in the simulation of the land-atmosphere water-energy-carbon exchanges. This work addresses a subject of interest for the broad audience of BG and it has the potential to shed additional light and provide guidance to the LSM modelling community on the simulation of water-energy-carbon interactions and involved feedback mechanisms. Having said that, I think there are substantial improve-ments to be implemented in the manuscript before making any consideration for
Asset Pricing in Digital Assets

Digital assets are continually evolving into a “mainstream” asset class. Institutional interest is growing every day, with the market capitalization of digital assets rising in value and importance not only for retail investors, but also for global banks, hedge funds and regulators. This chapter provides an overview for interested readers of how digital assets compare to traditional asset classes, how a blockchain works, and an assessment of whether academic research has uncovered first trading strategies and other relevant findings in this emergent asset class of virtual tokens.
European of Educational Research Factors Influencing Online Learner Performance During Coronavirus Disease Pandemic: A Case Study in Vietnamese Universities

: Vietnam has a reputation for being a successful nation in preventing the Coronavirus disease (COVID-19) outbreak in 2020, with a lower number of illnesses than other ASEAN countries. However, to ensure that students are safe and informed about the coronavirus outbreak, Vietnamese higher education has developed online learning (OL). During the COVID-19 epidemic, this paper explores the relationship between elements such as learning readiness, learning strategies, and learning performance in the Vietnamese OL setting. Four hundred undergraduate students were randomly selected from Hong Duc universities, and Saigon University participated in this study in different zones. Analyzed data has applied structural equation modeling (SEM) using partial least squares (SmartPLS-SEM). The findings found that Vietnamese students were much more likely to believe in interaction in OL, to feel comfortable using a computer with their computer efficacy, and to have confidence in communicating in the digital environment, all of which were important variables in assuring the success of using OL. The factors of “motivation” and “test preparation” show a poor relationship with learning performance. Therefore, the OL process in Vietnamese, on the other hand, needs to be more inventive, with a greater focus on lecturers' awareness and practice of online teaching pedagogies such as motivation, techniques, and test arrangement. During OL, students' readiness in terms of learning control, self-directed learning, and engagement must be considered and supported.
Am I No Good? Towards Detecting Perceived Burdensomeness and Thwarted Belongingness from Suicide Notes

The World Health Organization (WHO) has emphasized the importance of significantly accelerating suicide prevention efforts to fulfill the United Nations' Sustainable Development Goal (SDG) objective of 2030. In this paper, we present an end-to-end multitask system to address a novel task of detection of two interpersonal risk factors of suicide, Perceived Burdensomeness (PB) and Thwarted Belongingness (TB) from suicide notes. We also introduce a manually translated code-mixed suicide notes corpus, CoMCEASE-v2.0, based on the benchmark CEASE-v2.0 dataset, annotated with temporal orientation, PB and TB labels. We exploit the temporal orientation and emotion information in the suicide notes to boost overall performance. For comprehensive evaluation of our proposed method, we compare it to several state-of-the-art approaches on the existing CEASE-v2.0 dataset and the newly announced CoMCEASE-v2.0 dataset. Empirical evaluation suggests that temporal and emotional information can substantially improve the detection of PB and TB.
Fake News Classification Using Different Methods

: In this paper, we explore the application of Natural Language Processing techniques to identify when a news source may be producing fake news. We use a corpus of labeled real and fake new articles to build a classifier that can make decisions about information based on the content from the corpus. We use a text classification approach, using four different classification models, and analyze the results. The best performing model was the LSTM implementation. The model focuses on identifying fake news sources, based on multiple articles originating from a source. Once a source is labeled as a producer of fake news, we can predict with high confidence that any future articles from that source will also be fake news. Focusing on sources widens our article misclassification tolerance, because we then have multiple data points coming from each source.
NUMERICAL AND EXPERIMENTAL DEVICE FOR LOCAL CONTROL OF VENTILATION

Local control of ventilation in large buildings is considered to be a main issue in energy savings regarding the huge energy losses that are usually induced by such large volumes. An efficient ventilation system and the development of local control ventilation strategies could prevent large buildings from having an unsuited or overvalued ventilation and reduce significantly the energy consumption. Considering the issue of developing such strategies, both pollutant dispersal and heat transfer models, based on Computational Fluid Dynamics codes, have been developed in Science Buildings Laboratory (LASH) in Lyon. The models are used for numerical tests of established control ventilation strategies, while an added experimental device allows to perform experimental validation.
SELFSTRUCTURIZED SYSTEMS

: The problems of constructing the selfsrtucturized systems of memory of intelligence information processing tools, allowing formation of associative links in the memory, hierarchical organization and classification, generating concepts in the process of the information input, are discussed. The principles and methods for realization of selfstructurized systems on basis of hierarchic network structures of some special class – growing pyramidal network are studied. The algorithms for building, learning and recognition on basis of such type network structures are proposed. The examples of practical application are demonstrated.
Artificial Neural Network with Hardware Chip Implementation

: An Artificial Neural Network (ANN) system is based on a group of associated units or nodes in a biological brain called neurons. The signal is transferred from one neuron to another neuron. The ANN model accepts the input signal which are multiplied with their weights. The multiplied output is weighted sum with the bias component and processed with the nonlinear signals. In the research work we have considered the 8 inputs ANN signal which are multiplied with their corresponding weights. The hardware chip is designed to support the system functionality in Xilinx ISE 14.2 software. The designed chip is simulated with Modelsim 10.0 software for test cases. The designed chip is also synthesized on SPARTAN-3E FPGA and hardware and timing parameters are also analyzed.
of the 1st Symposium on Advances in Educational Technology

: This paper considers the problem of integrated use of the LearningApps.org online resource in the process of Biology studying in secondary schools and information devices. The appropriateness of moving to a mixed form of learning that involves the creation of a polysubjective educational environment has been justiﬁed. The article concretizes the essence of the notion “polysubjective educational environment” (teacher, pupil, online resources, and information devices). It has been examined how well the scientiﬁc problem is developed in pedagogical theory and educational practice. The methodology of using the LearningApps.org online resource in the process of Biology studying in a basic secondary school, which involves the use of information devices, the PlayMarket server applications, Smart technologies and a website has been created. In particular, a series of exercises of the LearningApps.org online resource has been simulated, the implementation of which should be integrated using a SMART Board, a mobile phone, a computer, a laptop, a tablet or other information devices. Possibilities of their combination with the methodology of using information devices at the lesson in the process of homework checking, learning new material, generalization and systematization of knowledge have been revealed. The proposed assignments can be used as individual exercises for pupils at the lesson and in extracurricular activities. The paper suggests the approach for homework checking, which involves besides computer control of pupils’ learning outcomes, the use of Miracast wireless technology. The methodology of conducting a mobile front-line survey at the lesson on the learned or current material in Biology in the test form, with the help of the free Plickers application, has been presented. The expediency of using the website builder Ucoz.ru for creation of a training website in Biology has been substantiated. The methodology of organizing the educational process in Biology in a basic secondary school using the training website has been developed. The effectiveness of the proposed methodology of using the LearningApps.org online resource in combination with information devices in the process of Biology studying in a basic secondary school has been substantiated.