Miracle-dz/UniFAR-FTUs huggingface dataset:
Profylaktisk anvendelse af antibakterielle midler i tandlægepraksis

◗ ◗ ◗ Det ligger i sagens natur at tandlægens stillingtagen til profylaktisk brug af antibiotica er empirisk. Forudsætningen for en korrekt beslutning er kendskab til sygdomsbillederne hos patienter i risikogruppen, samt til principperne for antimikrobiel profylakse. Ved at følge vejledningen sikres at komplikationer i forbindelse med tandlægearbejdet så vidt muligt undgås, heri beregnet de legale aspekter. Vejledningen i denne artikel er udarbejdet på grundlag af internationale rekommandationer, særligt for tandlægearbejdet hos patienter med risiko for infektiøs endocarditis og hos patienter med nedsat immunforsvar. Alle blodige tandlægeindgreb kan udløse bakteriæmi, som er kortvarig og harmløs hos raske personer, men kan medføre livstruende infektion i form af endocarditis hos disponerede patienter. Enkeltdosis profylaktisk antibiotisk behandling gør det nemt og praktisk at efterkomme anbefalingerne. Situationen er mere kompleks hos patienter med nedsat immunforsvar, og en individuel stillingtagen er nødvendig på grundlag af de anamnestiske oplysninger. Risikofaktorer beskrives, og der gives anbefalinger til tandlægens valg af profylaktisk regime eller eventuel henvisning af patienten til behandling i specialist-/sygehusregi.
Principles of marketing research

1. Questionnaire Design. 2. Qualitative Research Methods. 3. Mail and Telephone Surveys. 4. Regression Analysis. 5. Classical Factor Analysis. 6. Experimental Design. 7. Analysis of Experimental Data. 8. Introduction to Structural Equation Models. 9. The Evaluation of Structural Equation Models and Hypothesis Testing. 10. Advanced Topics in Structural Equation Models. 11. Partial Least Squares. 12. Multidimensional Scaling. 13. Cluster Analyses. 14. Correspondence Analysis. 15. Conjoint Analysis. 16. Multivariate Analysis of Qualitative Data. 17. Chi-Square Interaction Detection. 18. Latent Class Analysis. 19. Research Utilization.
Environmental Fault Diagnosis of Solar Panels Using Solar Thermal Images in Multiple Convolutional Neural Networks

Every year, each solar panel suffers an efficiency loss of 0.5% to 1%. This degradation of solar panels arises due to environmental and electrical faults. A timely and accurate diagnosis of environmental faults reduces the damage caused by faults on the panel. In recent years, deep learning precisely convolutional neural networks have achieved wonderful results in many applications. This work is focused on finely tuning pretrained models of convolutional neural networks, especially AlexNet, GoogleNet, and SqueezeNet. Based on the performance metrics, SqueezeNet is used for training thermal images of solar panels and for the classification of environmental faults. The results obtained show that SqueezeNet has a significant testing accuracy of 99.74% and F1 score of 0.9818, which make the model successful in identifying environmental faults in solar panels and help users to protect the panels.
Detection of Low-Penetrating Ions in Diamond at Room Temperature

Single-ion implantation as a technique for fabricating future quantum devices requires high precision in placing individual ions in the semiconductor material. One way to achieve this precision is to use focused ion beams and verify the implantation of each ion by detecting the charge it induces in the semiconductor. This method has already been demonstrated for silicon substrates but has yet to be successfully performed for wide-bandgap materials. One of the most promising materials for future quantum devices is a diamond. Quantum centers in diamond, such as nitrogen vacancies, can serve as information carriers in quantum computers—qubits—and are stable at room temperature. This work focuses on understanding the critical parameters required for the successful detection of shallow, low-energy ions in diamonds using commercially available diamond crystals and front-end electronics. Depth profiling of the electric field in the diamond crystal was performed using ions of different species and energy. State-of-the-art front-end electronics were also used to achieve high energy resolution. Using the XGLab CUBE PRE031 preamplifier, an energy resolution of 6 keV was achieved for the detection of 400-keV protons. Detection of 140-keV copper ions, penetrating an average of 100 nm into the diamond, was also demonstrated. The optimal position of implantation sites was determined from the spatial distribution of charge collection efficiency.
Conjectures for the microscopic theory of high temperature superconductivity

Based on experimental results and our previous theoretical work, a microscopic theory of high temperature superconductivity is conjectured. In this conjecture, superconducting and antiferromagnetic long-range orders are driven by interlayer coupling. Strictly in two dimensions, the microscopic Hubbard model has an (resonating valence bond) insulator-to-metal transition at $x=x_{c}$ near optimal doping for zero temperature, leading to a quantum critical point, and one of the crossover lines is given by the pseudogap temperature $T^{*}$. We argue that various singular and non-Fermi liquid properties observed near optimal doping are due to the presence of this quantum critical point. In our conjecture, the crossover line $T^{*}$ also practically divides the superconducting region into two, depending on the doping level with respect to $x_{c}$. For $x \leq x_{c}$ the superconducting state has significant antiferromagnetic correlations, while for $x > x_{c}$ it has virtually no antiferromagnetic correlations, thus justifying the conventional BCS theory based on the noninteracting electrons. Inelastic neutron scattering resonance and systematically reduced superfluid density in the superconducting state below $x_{c}$ have their natural explanations in the present scenario. The present approach supports interlayer pair tunneling model where the superconducting condensation energy comes from the lowering of the c-axis kinetic energy in the superconducting state. Comparison of the present scenario with some of the leading theories based on the Hubbard and $t-J$ models is given. The generic features of both hole-doped and electron-doped cuprates as well as heavy-fermion superconductors may be understood in the {\em unified} framework within the present picture.
Leitlinie zur Allergen-Immuntherapie bei IgE-vermittelten allergischen Erkrankungen

S2k-Leitlinie der Deutschen Gesellschaft für Allergologie und klinische Immunologie (DGAKI), der Gesellschaft für Pädiatrische Allergologie und Umweltmedizin (GPA), des Ärzteverbandes Deutscher Allergologen (AeDA), der Österreichischen Gesellschaft für Allergologie und Immunologie (ÖGAI), der Schweizerischen Gesellschaft für Allergologie und Immunologie (SGAI), der Deutschen Dermatologischen Gesellschaft (DDG), der Deutschen Gesellschaft für HNO-Heilkunde, Kopfund Halschirurgie (DGHNO-KHC), der Deutschen Gesellschaft für Kinderund Jugendmedizin (DGKJ), der Gesellschaft für Pädiatrische Pneumologie (GPP), der Deutschen Gesellschaft für Pneumologie und Beatmungsmedizin (DGP), des Deutschen Berufsverbandes der HNO-Ärzte (BVHNO), des Berufsverbandes der Kinderund Jugendärzte (BVKJ), des Bundesverbandes der Pneumologen (BDP) und des Berufsverbandes der Deutschen Dermatologen (BVDD)
Second sound in Fermi gases at the BCS-BEC crossover

The thermodynamic potential is calculated for a uniform superfluid gas of fermi atoms from the mean field BCS equations including corrections from induced interactions, Hartree-Fock energies and quasiparticle selfenergies. The entropy, specific heat and sound modes are calculated as function of temperature, density and interaction strength from the BCS to the unitarity limit and around the BCS-BEC crossover. The second sound speed is of particular interest as it is a clear signal of a superfluid component and it determines the critical temperature.
Timescales Trips to PG Quasars : The Mkn 478 Case(Session 7 : NLS1, a Mile Stone)

The X-ray bright PG quasar PG 1440+356 (Mkn 478) was observed four times across 13 months with the XMM-Newton observatory. Flux variations with a dynamical range of a factor about 6 were observed in both the soft (E 3 keV) X-ray band. However, large spectral variations are observed in the latter band only. We suggest that the X-ray emission in this object is due to Comptonization of kT ≃ 60 eV disk photons by a 20-50 keV plasma with a complex density structure. Analysis of the harmonic content of Mkn 478 light curves unveils a characteristic timescale ∼1 day, common to both energy bands. A longer (∼months) timescale is detected in the soft X-ray band only.
Linear Prediction and the Spectral Analysis of Speech

Abstract : The report gives a detailed treatment of the use of linear prediction in speech analysis. New concepts are developed and more familiar concepts are seen in a new way. The covariance and autocorrelation methods are derived in the time and frequency domains. Both methods are shown to be derivable from a more general concept, that of generalized analysis-by-synthesis, where a nonstationary two-dimensional spectrum is approximated by another model spectrum. Linear prediction analysis is a special case where the model spectrum is all-pole. Also, under the assumption of stationarity the general covariance method reduces to the autocorrelation method.
Identificando Websites de Desinformação no Brasil

Neste trabalho propomos uma metodologia para identificação de websites responsáveis pela produção e disseminação de desinformação em plataformas digitais no contexto brasileiro. Aplicamos nossa abordagem no Twitter e os resultados preliminares apresentam evidências do potencial da metodologia proposta para identificação de websites de desinformação que podem ser úteis para entendimento do fenômeno, bem como para atuação do poder público para contenção do problema em diversos contextos.
Active atmospheric calibration for H.E.S.S. applied to PKS 2155-304

Brown, A.M. , Chadwick, P.M. , Dickinson, H.J. , Hadjichristidis, C. , Latham, I.J. , Le Gallou, R. , Masterson, C. , McComb, T.J.L. , Nolan, S.J. , Noutsos, A. , Orford, K.J. , Rayner, S.M. , Spangler, D . for the H.E. S.S. Collaboration (a) Physics Department, Durham University, South Road, Durham, County Durham, DH1 3LE, United Kingdom (b) Max-Planck-Institut für Kernphysik, P.O. Box 103980, D 69029 Heidelberg, Germany Presenter: S.J. Nolan (s.j.nolan@dur.ac.uk), uki-nolan-S-abs2-og23-poster
A stated preference survey for evaluating pedestrians’ expectations on walkways

Pedestrian mobility is the oldest form of transport in urban areas. Due to the increase of private vehicles, transport planning has mainly focused on traffic congestion problems, neglecting pedestrian mobility and public transport. Given the current situation of pollution and climate change, walkability is again one of the most important transport modes to achieve urban sustainable mobility in the next future. As reported in the literature, city dwellers are willing to walk to carry out daily activities but complain about the lack of adequate pedestrian infrastructure. For promoting pedestrian mobility, the quality levels of pedestrian paths should be increased. Many researchers suggest methodologies for determining the pedestrian level of service. Among these, some studies consider both path physical characteristics and users' perception about the walkway. Investigating on users’ perception represents a good strategy for implementing interventions aimed at increasing the quality of service. In addition to users’ perception about the different characteristics of the pedestrian path, it is also necessary to take over the importance that users assign to each aspect. This work proposes the design of a Stated Preferences survey and the analysis of the preliminary results. A questionnaire was addressed to a sample of 240 pedestrians on a walkway located in the University Campus of Rende (Italy). The aim is recording pedestrians’ perception about the characteristics of the path and detecting the choices they would make in a hypothetical scenario. Then, the collected data has been analysed by means of a discrete choice model for assessing the weights assigned by pedestrians to each aspect included in the analysis. The results have allowed the most relevant pedestrian path aspects for users to be identified. Just on these aspects it is necessary to intervene in order to make pedestrian paths increasingly attractive and to encourage users towards active mobility.
Serial prosodification and voiced stop geminates in Catalan

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Sustainability materiality research: a systematic literature review of methods, theories and academic themes

Purpose This systematic literature review (SLR) aims to examine the extent of academic knowledge of sustainability materiality research. There is no academic review of this field; therefore, this study aims to close this research gap. Design/methodology/approach The paper systematically reviews the existing literature on sustainability materiality research. Papers were qualitatively classified and analysed in accordance with the theoretical underpinning, research methods and academic themes of sustainability materiality research. Findings The findings of the review show that scholarly work on sustainability materiality has increased exponentially since the 2010s. In terms of research methods, scholars have examined sustainability using content analysis techniques and qualitative approaches. A common theoretical foundation was missing, but an increasing number of articles have been anchored to stakeholder theory. The academic themes have progressively enriched empirical evidence on the evaluation of materiality in sustainability information. Research limitations/implications This review can be useful as an academic basis to open avenues for strengthening theoretical and empirical research on new emerging issues regarding double materiality and dynamic materiality. Originality/value This paper conducts the first SLR of academic knowledge on sustainability materiality research. Eight academic themes are proposed to classify sustainability materiality. Thus, it is an aid to future research in this area.
Waving arms around to teach quantum mechanics

Kinesthetic (or embodied) representations help students build intuition and deep understanding of concepts. This paper presents a series of kinesthetic activities for a spins-first undergraduate quantum mechanics course that supports students in reasoning and developing intuition about the complex-valued vectors of spin states. The arms representation, used in these activities, was developed as a tangible representation of complex numbers: Students act as an Argand diagram, using their left arm to represent numbers in the complex plane. The arms representation is versatile and can be expanded to depict complex-valued vectors with groups of students. This expansion enables groups of students to represent quantum mechanical state vectors with their arms. We have developed activities using the arms representation that parallel the progression of a spins-first approach by starting with complex numbers, then representing two- and three-state systems, considering time-dependence, and, eventually, extending to approximate wavefunctions. Each activity illustrates the complex nature of quantum states and provides a tangible manipulative from which students can build intuition about quantum phenomena.
Variational and scale mixture representations of non -Gaussian densities for estimation in the Bayesian linear model: Sparse coding, independent component analysis, and minimum entropy segmentation

Author(s): Palmer, Jason Allan | Abstract: This thesis considers representations of non-Gaussian probability densities for use in various estimation problems associated with the Bayesian Linear Model. We define a class of densities that we call Strongly Super- Gaussian, and show the relationship of these densities to Gaussian Scale Mixtures, and densities with positive kurtosis. Such densities have been used to model "sparse" random variables, with densities that are sharply peaked with heavy tails. We show that strongly super-Gaussian densities are natural generalizations of Gaussian densities, and permit the derivation of monotonic iterative algorithms for parameter estimation in sparse coding in overcomplete signal dictionaries, blind source separation, independent component analysis, and blind multichannel deconvolution. Mixtures of strongly super- Gaussian densities can be used to model arbitrary densities with greater economy that a Gaussian mixture model. The framework is extended to multivariate dependency models for independent subspace analysis. We apply the methods to the estimation of neural electro- magnetic sources from electro-encephalogram recordings, and to sparse coding of images
Editorial: Relevance of dog studies for the derivation of health‐based guidance values for plant protection products approval

The EFSA Journal is a publication of the European Food Safety Authority, a European agency funded by the European Union. Under Regulation (EU) 283/2013, setting out the data requirements for pesticides active substance, short-term oral toxicity testing in rodents (90-day rat study) and non-rodents (90-day dog study) species are required to address hazard identification and human safety of plant protection products (PPPs) and to support the active substance approval in the European Union (EU). These animal models allow toxicologists to develop the necessary knowledge to understand chemical hazard and use it in the process of risk assessment with the goal of protecting human population and the environment. In vivo animal models have historically been the gold standard of safety and risk evaluation and may offer direct evidence of chemical toxicity in a living organism. However, this strength is reduced by the weaknesses of low-throughput, excessive demand of resources, the limited understanding of mechanisms behind the observed toxicity and by ethical reasons. The current trend of extending the toxicity testing, anchored in observational studies, by enhanced mechanistic understanding using human-relevant systems to evaluate biological processes, increases the global effort to allocate more resources to identify the mechanisms of toxicity.
Some Opinions on Farmer Options and Obstacles to Adopting Organic Agriculture

I appreciate the opportunity to think about options and obstacles to adopting organic agriculture. I am the Director of Government Relations for the Indiana Farm Bureau. I want to emphasize that I will be expressing my opinions today and look forward to talking with you more later. I want to quickly cover a few things most of you already know. Having been a farmer, and for the last 10 years renting out my land, it really strikes me how difficult it is to keep up with changes on the farm, now more than ever. Things have changed so drastically. Even in the last ten years we have seen a range of issues affecting farming, including: (i) declining farm numbers; (ii) competition for limited resources; (iii) specialized production; (iv) off-farm employment and the influence of part-time farming; (v) consolidation everywhere that has really played a part in everyone’s life, especially in agricultural production; and (vi) production technology. I want to focus on a couple of things quickly so that you know where I'm coming from in terms of traditional, Midwest farming. Working for the Farm Bureau, I come about as traditional as they get. We have had steadily and substantially increasing yields over the last 30 years. Corn yields have increased almost 60% since 1975, and we pretty much see the same increases for soybeans, cotton, and wheat. I wanted to emphasize this because I want you to have in your mind what people are thinking when they are growing corn and, at least in Southern Indiana where I'm from, selling it for $1.50/bu. It is pretty tough! It is hard to grow enough at that price. I want to also mention a few government influences on organic and the farm sector. This is not an exhaustive list. First, there are the risk management programs that were mentioned this morning. Then there is crop insurance and revenue insurance, and obviously the difficulties with that, even more so with organic production. There are disaster assistance programs, and as you know we have had so many of those lately and these have meant a lot to traditional, commercial farm operations. The tax issues are certainly an issue. Most especially, I want to mention the farm programs, including the commodity price safety net we have right now: the direct payments, countercyclical payments, and the marketing loan or LDP, which everyone in the Midwest is so interested in when prices are low because you get the LDP on all the bushels you produce. Finally, the fruit and vegetable restrictions (FAV) that were written into the 1996 Farm Bill also represent possible challenges. I won’t go into detail about these but I know that some of the people in the room probably have dealt with some of those problems. On the other hand, the Conservation Security Program (CSP) is something which appears to offer the organic movement a great deal of opportunity. But, as you all know, it has been under-funded. In fact, it has been hardly funded at all. It is also very limited and has had problems with sign-up. Some of these problems probably go back to the funding, since
Analysis of rotation and stochastic variability of CoRoT dwarf stars

We study the distribution and evolution of rotational periods in field solar‐type stars, using the light curves (LCs) produced by CoRoT. The large number of CoRoT targets at our disposal allows us to perform this study on a statistically representative sample, and therefore to investigate the statistics of variability (i.e. flares, starspots) in stellar samples differing for example in terms of activity, age and mass, and focusing, in particular, on the analysis of the young population’s properties in the solar neighbourhood. This work is based on a CoRoT additional program (P.I. Fabio Favata).
Modeling of General Surface Junctions of Composite Objects in an SIE/MoM Formulation

Abstract : This paper discusses the modeling of various kinds of surface junctions in an SIE/MoM (Surface Integral Equation / Method of Moments) formulation applied to complex objects consisting of arbitrarily shaped conducting and dielectric bodies. Methods of describing various types of junctions and systematically incorporating them in numerical solutions are presented. The procedures are of interest for the specific application of arbitrarily shaped dielectric resonator antennas and their associated feed structures and packaging. An E-PMCHW formulation in conjunction with a moment method procedure using generalized triangular basis functions is presented to deal with such general junctions.