Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel SnCl2-H2SO4 Mixed Catalyst System for Fructose Conversion to 5-hydroxymethylfurfural

Glucose and fructose are six-carbon sugar molecules which are potential feedstocks for the production of biofuels that can replace petroleum fuels [1]. Recent research efforts have focused on their conversion to 5-hydroxymethylfurfural (HMF) [2,3], the precursor of the most recent second generation biofuel 2,5 dimethylfuran (DMF). Current processes in HMF production involve the use of acid catalysts, and are mainly limited to fructose as the biomass feed [4-7].
Does the human-like behavior of a robot evoke action co-representation in a human co-actor?

Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by program, and the required minimum study period may vary in duration.
Tax-benefit systems, income distribution and work incentives in the European Union

In this paper we study the impact of tax-benefit systems on income inequality and work incentives across the 27 Member States of the European Union (EU). Using EUROMOD, the EU-wide tax-benefit microsimulation model, we disentangle the role of taxes, benefits and social insurance contributions in influencing country specific Gini coefficients and Marginal Effective Tax Rates. The extent to which tax-benefit systems contribute to income redistribution and provide work incentives at the intensive margin is found to vary considerably across the 27 Member States of the EU. Our results further highlight the presence of a trade-off between income redistribution and work incentives across EU-27 countries.
Properties of the sample autocorrelations in autoregressive stochastic volatllity models

Time series generated by Stochastic Volatility (SV) processes are uncorrelated although not independent. This has consequences on the properties of the sample autocorrelations. In this paper, we analyse the asymptotic and finite sample properties of the correlogram of series generated by SV processes. It is shown that the usual uncorrelatedness tests could be misleading. The properties of the correlogram of the log-squared series, often used as a diagnostic of conditional heteroscedasticity, are also analysed. It is proven that the more persistent and the larger the variance of volatility, the larger the negative bias of fue sample autocorrelations of that series.
UNIVERSITY OF LJUBLJANA FACULTY OF PHARMACY EVA ZUPANČIČ PREPARATION AND CHARACTERISATION OF MINOCYCLINE-LOADED POLYMETHYLMETHACRYLATE MICRO- AND NANOPARTICLES FOR BONE CEMENT PREPARATION IZDELAVA IN VREDNOTENJE POLIMETILMETAKRILATNIH MIKRO- IN NANODELCEV Z VGRAJENIM MINOCIKLINOM ZA PRIPRAVO KOSTN

Total hip arthroplasty is the replacement of a hip with a metal prosthesis. To make it more stable, orthopaedic surgeons anchor prosthesis with acrylic bone cement. During or after the operation process an infection can occur. A prolong antibiotic release would be desire to prevent eventual infection. Therefore, antibiotics-loaded acrylic bone cement microand nanoparticles can be an interesting system. The goal of the graduation thesis research work is to develop a formulation method and to prepare two drug delivery systems: polymethyl methacrylate (PMMA) microand nanoparticles containing the antibiotic minocycline. There were some differences in the formulation process of microand nanoparticles. For microparticles, 250 mg of PMMA was dissolved in 5 ml of the organic solvent dichloromethane (DCM). On the other hand, the organic phase of nanoparticles was composed by 100 mg of PMMA dissolved in 6 ml of DCM. Moreover, a 2.5% (w/v) PVA solution was used as an external phase in the formulation of PMMA microparticles, while 1.25% (w/v) PVA solution was used for the preparation of nanoparticles. Minocyclineloaded microparticles had a volume mean diameter (VMD) of 787 nm and a polydispersity index (PI) of 0.223. The fundamental batch (mpMino1) had VMD 787 nm and PI 0.234. On the other hand, minocycline-loaded nanoparticles had VMD of 356 nm and their PI was 0.246. Fundamental nanoparticles (npMino1) had VMD of 353 nm and PI 0.217. The incorporation of sucrose did not significant influence on the VMD (p > 0.05). Incorporation of TPGS into the internal phase had significantly increased particle size (p = 0.043). From the obtained results, we could conclude that the size of microparticle was nearly two times larger compared to that of nanoparticles. The PI between particles is quite comparable, although higher deviations for nanoparticles would be expected. Surface morphology of plain, antibiotic-loaded and TPGS-loaded microand nanoparticles was analysed by SEM. Nanoparticles had a fine spherical shape with smooth surface. As concerns microparticles, a spherical shape with a rough surface was observed. Encapsulation (E.E) and loading efficiencies (L.E) were determined using an indirect method. Microparticles (mpMino1) had an E.E of 38.50% and L.E of 0.77%. Minocyclineloaded nanoparticles (npMino1) had an E.E of 30.45% and L.E of 0.60%. As concerns other batches, the salting-out method resulted in higher E.E and L.E. In vitro minocycline release from PMMA microand nanoparticles and from plates containing those vehicles was measured using two different methods. No drug release from PMMA particles was
BRAIN TUMOR DETECTION USING K-MEANS CLUSTERING AND FUZZY C-MEANS ALGORITHM

Tumor is an uncontrolled development of tissue in any part of the body. The tumor is of various sorts and they have different characteristics and different treatment. This paper is to execute of Simple Algorithm for discovery of range of tumor in brain MR Images. Typically the anatomy of the Brain can be seen by the MRI scan or CT scan. MRI scanned picture is utilized for the whole procedure. The MRI output is more agreeable than any different scans for finding. It won't influence the human body, since it doesn't practice any radiation. It is focused on the magnetic field and radio waves. There are disparate sorts of calculation were created for brain tumor recognition. But they may have some drawback in detection and extraction. After the segmentation, which is done through k-means clustering and fuzzy cmeans algorithms the brain tumor is distinguished and recognized. The patient's stage is dictated by this handle, regardless of whether it can be cured with solution or not.
Optimal Timing of Regulatory Policy and Economic Performance

This paper looks at one of the ten Washington Consensus policies — the overall deregulation policy consisting of credit-, labor-market, and business deregulation — and studies the eects of the timing of deregulation on economic growth in more than 70 economies over a period of 30 years. Using dierencein-dierence estimation, this study finds that deregulation contributed to economic growth of the early reformers relatively more than to the late reformers. Further, the paper argues that late reformers’ growth did not increase more than the growth of the non-reformers.
Jitter Tolerance Estimation of a 3X Oversampling CDR using Event-Driven Simulation

This paper presents a system level jitter tolerance estimation of a 3X oversampling Clock and Data Recovery (CDR) circuit used in high speed serial data communication receivers. It is critical to know the amount of jitter that can be tolerated by the CDR in order to recover the data with satisfied bit error ratio (BER) performance. The jitter tolerance of the CDR is estimated by an event-driven simulation model, developed in Matlab. The theoretical jitter tolerance value is derived analytically for different jitter frequencies. The simulated results show a very close match to the theoretical values. We also compared the simulation time for the event-driven and the conventional fixed- time-step models.
Fault population recognition through microseismicity in Mygdonia region (northern Greece)

Seismicity in the broader area of Mygdonia basin in northern Greece is lately characterized by the absence of strong events along active seismogenic faults known to have been activated in the past. Small to moderate magnitude earthquakes not exceeding ML4.8 have occurred in the last three decades. In this study, earthquakes occurred in 2000 and 2013 and recorded by the Hellenic Seismological network were investigated. Available Pand Sseismic wave arrivals were used for relocation in order to obtain accurately determined earthquake focal coordinates. For this scope, a Wadati diagram was constructed and a Vp/Vs ratio equal to 1.78 as well as time delays were included in the Hypoinverse process for the estimation of the focal coordinates. In the case of strong spatial or temporal clustering among earthquakes, the HypoDD algorithm was also employed for further improving location accuracy. The relocated seismicity was used in order to reveal the structural and geometrical properties of the local fault population and identify seismogenic faults deprived of a clear surface expression. For this reason, cross sections perpendicular to the main axis of the rupture zones were created, and finally a correlation between the kinematic properties and the current stress field was attempted. It is evident that in the absence of strong earthquakes, microseismicity is the only, however fundamental information to be exploited for the identification of active faults and the hazard assessment since small earthquakes are concentrated in areas with a significant potential for a future strong earthquake.
Literary Education and the Ethics of Expansion: Principles, Processes and Examples

This contribution is rooted in my vision of literary education as a humanistic practice devoted to expanding the students’ ideological and imaginative horizons. My efforts as a lecturer have always been aimed at exemplifying what, from my point of view, could be considered one of the main beliefs articulating ethical literary criticism: the power of literature to bring about meaningful social changes by empowering readers to extend their cosmovision beyond reductionist macro-discourses. This potential of literature can be activated by fostering a teaching practice based on some ethical principles, the anatomy of which will be modestly examined in this essay out of my personal experience and exemplified with references to the works by some writers. From a theoretical point of view, this contribution also drinks from Juri Talvet’s “call for cultural symbiosis” (2005) between ‘self ’ and ‘other’ as a way of overcoming interested separations and impoverishing mutilations. Likewise, and following Yuri M. Lotman’s cultural semiotics, my approach sees the literature classroom as a space where the valuable tensions between ‘centre’ and ‘periphery’ within a given semiosphere can be analysed and seen as opportunities for the generation and addition of new meanings and ideas.
Dynamics of Roles in the Context of Groups Evolution

The paper addresses the analysis of a social system with identified groups and roles assigned to users. The important elements of this representation of a society and its dynamics are, on one hand, the identification of various important users in the whole network or in given groups, and, on the other hand, the events describing how the groups evolved. In this paper, we propose an approach integrating both these areas that would allow us to draw conclusions regarding the influence of important persons on the groups evolution and may make it possible to predict the future of the group on the basis of its current structure. Keywords—roles dynamics; blogosphere; local roles. I. INTRODUCTION Taking into account a dynamic growth of different forms of social media, where users often express their opinions, it is important to understand the behaviour of users participating in them, identify their importance and predict directions of evolution. For such research, the application of methods of social network analysis became very popular. Considering the size and dynamics of changes, such a network may be perceived as a set of groups, within which users are more strongly connected than with others outside the group. Ex- amples of such connections are discussions on forums or in blogosphere. The variety of subjects results in users belonging to many groups and participating in them with different levels of commitment, playing different roles in them. Taking into consideration high dynamics of changes, an important question is, why some groups last for a long time and why others are more fugitive. It seems that the kinds of activities of the users within groups may have an influence on the duration of the groups. In this paper, we extend our algorithm for the analysis of the evolution of groups in blogosphere (1), (2) by including role identification in groups (3) and analysis of their evolution. The organisation of the rest of the paper is as follows. In Section 2, the related works about group extraction and dynamics as well as identified roles of users are presented. Section 3 shows the model of the group dynamics, role identification and introduced R-SGCI method. In Section 4, the data set and performed experiments are described. Section 5 concludes the paper. II. RELATED WORK
Probable monthly rainfall associated with distinct biomes of Mato Grosso do Sul state

The aim of this study was to determine the probable monthly rainfall for the state of Mato Grosso do Sul, considering the level of 75% probability, and study the spatial distribution associated with its different biomes. The rainfall data of 32 stations (sites) in the state of Mato Grosso do Sul were collected in the period 1954-2013. In each of the 384 series, the average monthly rainfall was calculated, for at least 30 years of observation. The Kolmogorov-Smirnov adhesion test was applied to the rainfall time series to check the fit of the data to a normal distribution. The likely fallout was estimated at 75% probability, using the normal probability distribution and, subsequently, it was adopted the method of Ordinary Kriging interpolation mathematics to spatial data. Based on the likely monthly precipitation estimated, the State of Mato Grosso do Sul possess three distinct periods, with the precipitation associated with different biomes: the rainy season (between the months November to March, where increased precipitation occurred in the Savanna biome), dry season (between the months from June to August, when the highest rainfall occurred in the Atlantic Forest) and transition period (April and May and September and October).
Impacts of a PBM-Based Disease Management Program on Asthma Medication Use

OBJECTIVE: To evaluate the impact of an asthma disease management program conducted by a pharmacy benefit management (PBM) organization. DESIGN: A prospective analysis of the outcomes of an education-based disease management program for a large population of asthma medication users, compared to the outcomes for a matched longitudinal control group. SETTING: Merck-Medco Managed Care, L.L. C. , a national PBM that manages prescription benefits and provides mail-service and online pharmacy services. PATIENTS: The intervention group consisted of 19,289 patients with asthma, aged 6 and older, divided into high-risk, low-risk, and maintenance subgroups based on history of asthma medication use. The control group consisted of 19,253 asthma patients matched on age and gender. INTERVENTIONS: Patients in the intervention group received asthma education materials and had call-in access to pharmacists trained in optimal asthma care. Physicians were notified when their patients were enrolled, and they received asthma therapy guidelines if their patients’ medications or self-reported status indicated suboptimal therapy. MAIN OUTCOME MEASURES: Antiinflammatory controller medication (AICM) use and inhaled short-acting beta-agonist medication use. RESULTS: Intervention group patients showed larger increases in AICM use than control group patients (17.8% versus 13.6%, for high-risk patients, p<0.001; 12.7% versus 8.9%, for lowrisk patients, p<0.001). Significant increases in usage of inhaled corticosteroids were found for both highand low-risk groups (p<0.001), compared to the control group. Among patients who started using AICMs, use of inhaled short-acting beta-agonists decreased significantly (p<0.01). CONCLUSION: A PBM-based asthmaeducation program can improve asthma therapy by increasing usage of AICMs and reducing reliance on quick-relief medications. These treatment changes are consistent with clinical practice guidelines, and are associated with improved symptom control and reduced health care utilization and costs.
Impact of sub-mesoscale physics on production and subduction of phytoplankton in an oligotrophic regime

Using a protocol of numerical experiments where horizontal resolution is progressively increased, we show that small-scale (or sub-mesoscale) physics has a strong impact on both mesoscale physics and phytoplankton production/subduction. Mesoscale and sub-mesoscale physics result from the nonlinear equilibration of an unstable baroclinic jet. The biogeochemical context is oligotrophy. The explicitly resolved sub-mesoscales, at least smaller than one e fth of the internal Rossby radius of deformation, reinforce the mesoscale eddy e eld and contribute to double the primary production and phytoplankton subduction budgets. This enhancement is due to the reinforced mesoscale physics and is also achieved by the small-scale frontal dynamics. This sub-mesoscale physics is associated with density and vorticity gradients around and between the eddies. It triggers a signie cant small-scale nutrient injection in the surface layers, leading to a phytoplankton e eld mostly dominated by e ne spatial structures. It is believed that, depending on wind forcings, this scenario should work alternately with that of Abraham (1998) which invokes horizontal stirring of nutrient injected at large scales. Results also reveal a strong relationship between new production and negative vorticity, in the absence of wind forcing and during the period of formation of the eddies.
3 D-Reconstruction of Basal Cell Carcinoma

This work presents a complete processing-chain for a 3Dreconstruction of Basal Cell Carcinoma (BCC). BCC is the most common malignant skin cancer with a high risk of local recurrence after insufficient treatment. Therefore, we have focused on the development of an automated image-processing chain for 3D reconstruction of BCC using large histological serial sections. We introduce a novel kind of imageprocessing chain which is optimised for the diffuse nature of BCC. For full-automatic delineation of the tumour within the tissue we apply a fuzzy c-means segmentation method, which does not calculate a hard segmentation decision but class membership probabilities. This moves the binary decision tumorous vs. non-tumorous to the end of the processing chain, and it ensures smooth gradients which are needed for a consistent registration. We used a multi-grid form of the nonlinear registration introduced by Braumann and Kuska 2005 effectively suppressing registration runs into local minima (possibly caused by diffuse nature of the tumour). To register the stack of images this method is applied in a new way to reduce a global drift of the image stack while registration. Our method was successfully applied in a proof-of-principle study for automated reconstruction followed by a quantitative growth analysis.
Elimination of inertia from a Generalized Langevin Equation: Applications to microbead rheology modeling and data analysis

SynopsisViscoelastic properties of condensed soft matter can be estimated by following the trajectory of an embedded micron-sized particle in a method called passive microbead rheology. Data analysis of passive microbead rheology is usually based on formulas that relate bead displacement statistics to the dynamic modulus of the material in the frequency-domain. Therefore, methods of analysis require conversion of the data to the frequency-domain using numerical Fourier transform routines. These methods are known to introduce errors associated with frequency discretization and finite window size. Time-domain data analysis methods based on a single bead trajectory were introduced by Fricks et al. [SIAM J. Appl. Math. 69, 1277–1308 (2009)] as an alternative to the frequency-domain formulas. We have expanded these ideas with the aim of performing Monte Carlo simulations on synthetic data to evaluate and compare analysis algorithms for systems in which particles are trapped in linear or nonlinear traps. Brownian dynamics simulations were used to generate trajectories of beads embedded in viscoelastic materials having a discrete relaxation spectrum, with multiple relaxation times. We show that by including a small purely dissipative element in the memory function of the generalized Langevin equation (GLE), we can eliminate inertia-related fast variables directly from the GLE to find an inertia-less GLE, avoiding the singularity reported by McKinley et al. [J. Rheol. 53, 1487–1506 (2009)]. Using the inertia-less GLE, the computational cost of the simulations is reduced by nearly 5 orders of magnitude. We also show that, in real systems, this purely dissipative element can arise from fluid inertia, since for the bead the Basset force acts dissipative at high frequencies.SynopsisViscoelastic properties of condensed soft matter can be estimated by following the trajectory of an embedded micron-sized particle in a method called passive microbead rheology. Data analysis of passive microbead rheology is usually based on formulas that relate bead displacement statistics to the dynamic modulus of the material in the frequency-domain. Therefore, methods of analysis require conversion of the data to the frequency-domain using numerical Fourier transform routines. These methods are known to introduce errors associated with frequency discretization and finite window size. Time-domain data analysis methods based on a single bead trajectory were introduced by Fricks et al. [SIAM J. Appl. Math. 69, 1277–1308 (2009)] as an alternative to the frequency-domain formulas. We have expanded these ideas with the aim of performing Monte Carlo simulations on synthetic data to evaluate and compare analysis algorithms for systems in which particles are trapped in linear or nonlinear traps. Browni.
High-frequency Plant Regeneration from Cultured Flower Bud Receptacles of Allium hookeri L.

Allium hookeri L. (Alliaceae family) is an important ethnomedicinal plant native to the Himalayan region of Asia. The aim of this research was to establish a high-frequency plant regeneration system for in vitro propagation of A. hookeri. Among the tissue types examined, receptacle explants derived from immature flower buds showed the highest regeneration rate of shoots (93.33 ± 4.63%), roots (76.67 ± 7.85%), and calli (80.00 ± 7.43%) when cultured on Gamborg B5 (B5) medium containing 10 ㎛ 6-benzylaminopurine (BA) + 1 ㎛ naphthalene acetic acid (NAA), 0.5 ㎛ BA + 5 ㎛ NAA, and 1 ㎛ BA + 10 ㎛ NAA, respectively. Shoot multiplication was superior when cultured in liquid rather than on solid medium and relatively high concentrations of BA, ranging from 5 to 10 μM. Efficient bulblet formation following root induction from shoot clumps was achieved with culture in liquid B5 medium containing 7% (w/v) sucrose. Regenerated bulblets were successfully acclimatized to ex vitro conditions with a greater than 95% survival rate. By this method, a maximum of 62 plantlets per receptacle could be propagated within 9 weeks of initial culture. The in vitro propagation system established in this study will promote A. hookeri biotechnology, including large-scale production of healthy and aseptic clones, preserving parental genotypes with desirable traits, and genetic manipulation to enhance medicinal value.