Miracle-dz/UniFAR-FTUs huggingface dataset:
Cytochrome P450 Enzymes Involved in Metoprolol Metabolism and Use of Metoprolol as a CYP2D6 Phenotyping Probe Drug

Metoprolol is used for phenotyping of cytochrome P450 (CYP) 2D6, a CYP isoform considered not to be inducible by inducers of the CYP2C, CYP2B, and CYP3A families such as rifampicin. While assessing CYP2D6 activity under basal conditions and after pre-treatment with rifampicin in vivo, we surprisingly observed a drop in the metoprolol/α-OH-metoprolol clearance ratio, suggesting CYP2D6 induction. To study this problem, we performed in vitro investigations using HepaRG cells and primary human hepatocytes (before and after treatment with 20 μM rifampicin), human liver microsomes, and CYP3A4-overexpressing supersomes. While mRNA expression levels of CYP3A4 showed a 15- to 30-fold increase in both cell models, mRNA of CYP2D6 was not affected by rifampicin. 1′-OH-midazolam formation (reflecting CYP3A4 activity) increased by a factor of 5–8 in both cell models, while the formation of α-OH-metoprolol increased by a factor of 6 in HepaRG cells and of 1.4 in primary human hepatocytes. Inhibition studies using human liver microsomes showed that CYP3A4, 2B6, and 2C9 together contributed 19.0 ± 2.6% (mean ± 95%CI) to O-demethylation, 4.0 ± 0.7% to α-hydroxylation, and 7.6 ± 1.7% to N-dealkylation of metoprolol. In supersomes overexpressing CYP3A4, metoprolol was α-hydroxylated in a reaction inhibited by the CYP3A4-specific inhibitor ketoconazole, but not by the CYP2D6-specific inhibitor quinidine. We conclude that metoprolol is not exclusively metabolized by CYP2D6. CYP3A4, 2B6, and 2C9, which are inducible by rifampicin, contribute to α-hydroxylation, O-demethylation, and N-dealkylation of metoprolol. This contribution is larger after CYP induction by rifampicin but is too small to compromise the usability of metoprolol α-hydroxylation for CYP2D6 phenotyping.
Cellular-Connected UAV: Uplink Association, Power Control and Interference Coordination

The peculiar line-of-sight (LoS) propagation in air-to-ground channel provides both opportunities and challenges for the emerging cellular-connected unmanned aerial vehicle (UAV) communications. On one hand, the LoS channels make more cellular base stations (BSs) visible to a UAV as compared to ground users, which leads to a higher macro-diversity gain as compared to the ground users. On the other hand, the LoS channels also render the UAV to generate/receive more severe uplink/downlink interference to/from the BSs, thus requiring more sophisticated inter-cell interference coordination (ICIC) techniques with more BSs involved. To draw essential insight, this paper studies the uplink transmission from a UAV to cellular BSs. To mitigate the UAV's interference effect, we aim to maximize the sum-rate of the UAV and all ground users in its resulted ICIC region by jointly optimizing the UAV's cell association, resource block (RB) allocation, and transmit power. We first propose a centralized ICIC design that achieves the optimal performance. As the centralized ICIC requires global information of the network and substantial information exchange among an excessively large number of BSs, we further propose a decentralized ICIC scheme of significantly lower complexity and overhead for implementation. Specifically, we divide the cellular BSs into clusters, each with a dedicated cluster head for collecting information from its cluster BSs and exchanging information with the UAV by exploiting the LoS-induced macro-diversity. Numerical results show that the proposed decentralized ICIC scheme achieves a performance close to the optimal centralized design, and also outperforms the traditional ICIC scheme for cellular networks with terrestrial interference only.
Positive and negative behavioural intentions towards refugees in Turkey: The roles of national identification, threat, and humanitarian concern

Abstract The present research investigated positive and negative behavioural intentions towards Syrian refugees in Turkey. The behavioural intentions were examined in relation to national identification, perception of threat, and humanitarian concerns. A questionnaire was conducted among Turkish participants (n = 605) and the results showed that respondents made a distinction between negative and positive behavioural intentions towards Syrian refugees. Further, higher national identification was associated with more negative and less positive behavioural intentions, and perception of threat was responsible for these associations. In addition, humanitarian concern was associated with more positive behavioural intentions and less negative ones. Additionally, stronger humanitarian concern weakened the association between threat perceptions and negative behavioural intentions but also strengthened the association between higher threat and lower positive behavioural intentions.
Automatic Speech Recognition for Humanitarian Applications in Somali

We present our first efforts in building an automatic speech recognition system for Somali, an under-resourced language, using 1.57 hrs of annotated speech for acoustic model training. The system is part of an ongoing effort by the United Nations (UN) to implement keyword spotting systems supporting humanitarian relief programmes in parts of Africa where languages are severely under-resourced. We evaluate several types of acoustic model, including recent neural architectures. Language model data augmentation using a combination of recurrent neural networks (RNN) and long short-term memory neural networks (LSTMs) as well as the perturbation of acoustic data are also considered. We find that both types of data augmentation are beneficial to performance, with our best system using a combination of convolutional neural networks (CNNs), time-delay neural networks (TDNNs) and bi-directional long short term memory (BLSTMs) to achieve a word error rate of 53.75%.
Digital Commons @ University of Digital Commons @ University of South Florida South Florida

Quality of care has been a long-standing issue in US nursing homes. The culture change movement attempts to transition nursing homes from health care institutions to person-centered homes. While the adoption of culture change has been spreading across nursing homes, barriers to adoption persist. Nursing homes that disproportionately serve minority residents may have additional challenges implementing culture change compared with other facilities due to limited financial and staffing resources. The objective of this study was to examine how nursing home characteristics are associated with culture change adoption in Central Florida nursing homes. This cross-sectional study included 81 directors of nursing (DONs) who completed the Artifacts of Culture Change survey. In addition, nursing home organizational data were obtained from the Certification and Survey Provider Enhanced Reports (CASPER). A logistic regression was conducted to examine the relationship between high culture change adoption and nursing home characteristics. The overall adoption of culture change scores in Central Florida nursing homes was low. Nevertheless, there was variability across nursing homes in the adoption of culture change. High culture change adoption was associated with nursing homes having lower proportions of Medicaid residents.
Symmetry Preference as a Cognitive By-Product in Starlings

There has been a great deal of interest in whether animals use trait symmetry as a visual cue to mediate behavioural interactions. In bilaterally symmetric traits, small asymmetries (termed fluctuating asymmetry) appear due to increased developmental stress and/or genes for poor developmental homeostasis. Hence, researchers have hypothesized that symmetry can reveal the developmental history and, perhaps, fitness of an individual and this is why symmetry preferences have been observed. However, an additional theory suggests that symmetry could be preferred merely because it represents the average expression of bilateral traits. Animals can learn to respond to signals by generalizing (or averaging) stimulus sets. As the average expression of a trait showing fluctuating asymmetry is zero asymmetry, theory predicts that animals could develop a symmetry preference as a by-product of learning. Here, we test this prediction empirically with European starlings (Sturnus vulgaris) and show that symmetry preferences can emerge as an outcome of generalized learning processes. Our results indicate that symmetry does not initially need to be associated with fitness to be an apparent cue in behavioural interactions and that symmetry preferences observed in nature could be independent of any putative fitness relationships.
Relationships Between Perceived Emotions in Music and Music-induced Movement

Listening to music makes us move in various ways. Several factors can affect the characteristics of these movements, including individual factors and musical features. Additionally, music-induced movement may also be shaped by the emotional content of the music, since emotions are an important element of musical expression. This study investigates possible relationships between emotional characteristics of music and music-induced, quasi-spontaneous movement. We recorded music-induced movement of 60 individuals, and computationally extracted features from the movement data. Additionally, the emotional content of the stimuli was assessed in a perceptual experiment. A subsequent correlational analysis revealed characteristic movement features for each emotion, suggesting that the body reflects emotional qualities of music. The results show similarities to movements of professional musicians and dancers, and to emotion-specific nonverbal behavior in general, and could furthermore be linked to notions of embodied music cognition. The valence and arousal ratings were subsequently projected onto polar coordinates to further investigate connections between the emotions of Russell’s (1980) circumplex models and the movement features
Repeated Implementation *

In the traditional static implementation literature it is often impossible for implementors to enforce their optimal outcomes. And when restricting the choice to dominant-strategy implementation, only the dictatorial choices of one of the participants are implementable. Repeated implementation problems are drastically different. This paper provides a strong implementation ``folk theorem:'' for patient implementors, every outcome function they care about is dominant-strategy implementable. journal of Economic Literature Classification Numbers: C7, D7. 1998
Badawy-Statement of research interests

My research interests are in developing rigorous numerical techniques to study problems in Dynamical Systems. More specifically, I am interested in the stability spectra (Lyapunov exponents & Sacker-Sell spectra) of finite and infinite dimensional dynamical systems, as well as the development of quantitative perturbation theory to obtain error bounds for the stability spectra. Perturbation analysis results for the stability spectra of infinite dimensional systems give us error bounds for the stability spectra of PDE problems. Also of interest, the development of numerical techniques to study the stability of connecting orbits of a dynamical system.
Collocation and Relaxed Collocation for the Fer and the Magnus Expansions

We consider the Fer and the Magnus expansions for the numerical solution of the nonlinear matrix Lie-group ODE $y' = \gamma(t,y) y$, $y(0)= y_0,$ where y evolves in a matrix Lie group G and $\gamma(t,y)$ is in the Lie algebra %$\hbox{\Fr{g}}$. $\ghe$. Departing from a geometrical approach that distinguishes between those operations performed in the group and those performed in the tangent space, we construct Lie-group invariant methods based on collocation. We prove that, as long as the two expansions are correctly truncated, the collocation nodes $c_1, c_2, \ldots, c_{\nu}$ yield numerical methods whose order is the same as in the classical setting. We also relax the collocation conditions, thereby devising explicit methods of order 3. To conclude, we discuss the proposed methods in a numerical experiment that arises in Hamiltonian mechanics, comparing the results with projection techniques.
DETECTING ARABIC SPAM WEB PAGES USING CONTENT ANALYSIS

In this paper, we propose a set of new features to enhance the classification of Arabic Web pages into spam and non-spam under different classification algorithms, namely Decision Tree, Naїve Bayes, and LogitBoost. We compare our features, which we call Arabic Content Analysis (ACA) features, to state-ofthe-art Content Analysis (CA) features for spam detection in the English Web. We show that augmenting the CA features with our ACA features achieves an increase in detection accuracy of Arabic spam pages compared to CA features alone. When combined, ACA and CA features correctly identified 5,536 pages of the 5,645 Arabic spam pages that we used for testing with a false positive rate of 1.9% using the Decision Tree classifier. We also identified the top-ranked features using the Gain Ratio method.
La enseñanza de la lengua de signos en el Espacio Europeo de Educación Superior: adaptaciones al Marco Común Europeo de Referencia para las Lenguas

La red de investigacion que, desde la Universidad de Alicante, analiza la ensenanza de la lengua de signos espanola (LSE) en el marco del Espacio Europeo de Educacion Superior (EEES), se ha articulado en torno a tres ejes: la propia ensenanza de la lengua y la cultura de la Comunidad Sorda espanola en el ambito universitario y, mas concretamente, en la Universidad de Alicante; el aprendizaje por parte del alumnado que ha cursado esta materia, y el papel de las interpretes de lengua de signos que desarrollan su labor en este contexto. En los tres casos, presentamos la investigacion que hemos llevado a cabo desde la red gracias a la colaboracion de profesorado, alumnado e interpretes, y que supone una completa panoramica de la situacion actual de la LSE en el EEES. Una de las principales conclusiones es la necesidad de armonizar su ensenanza bajo las directrices europeas de ensenanza de idiomas que dicta el Marco Comun Europeo de Referencia para las Lenguas (MCER, 2001), lo cual presupone una estandarizacion linguistica de la LSE que aun esta en vias de desarrollo.
The Effects of Analogy on Students' Understanding of Direct Current Circuits and Attitudes towards Physics Lessons.

This study investigated the effects of analogy on the elimination of students’ misconceptions about direct current circuits, students’ achievement and the attitudes towards physics lessons. The sample of this study consisted of 51 11th grade students from two different classes. While one of the classes was the experimental group where analogy was used in the lessons, the other class was the control group where the traditional methods are employed in lessons and this selection was made randomly. When the obtained results were examined, it was seen that teaching with analogy has a significantly positive effect on the elimination of misconception and achievement although it has almost no effect on the attitudes of towards physics.
Influence of Sea Surface Temperature on Humidity and Temperature in the Outflow of Tropical Deep Convection

Multiple years of measurements of tropical upper-tropospheric temperature and humidity by the Measurement of Ozone and Water Vapor by Airbus In-Service Aircraft (MOZAIC) project are analyzed in the vicinity of deep convective outflow to study the variations of temperature and humidity and to investigate the influence of the sea surface temperature (SST) on the outflow air properties. The principal findings are the following. 1) The distribution of relative humidity with respect to ice (RHi) depends on where a convective system is sampled by the MOZAIC aircraft: deep inside the system, RHi is unimodal with the mode at ;114%; near the outskirts of the system, bimodal distribution of RHi starts to emerge with a dry mode at around 40% and a moist mode at 100%. The results are compared with previous studies using in situ measurements and model simulations. It is suggested that the difference in the RHi distribution can be explained by the variation of vertical motions associated with a convective system. 2) Analysis of MOZAIC data shows that a fractional increase of specific humidity with SST, q 21 dq/dSTT, near the convective outflow is about 0.16‐0.18 K 21 . These values agree well with previous studies using satellite data. Because MOZAIC measurementsoftemperatureandhumidityareindependent,theauthorsfurtheranalyzetheSSTdependenceofRHiand temperature individually. Temperature increases with SST for both prevalent flight levels (238 and 262 hPa); RHi stays close to constant with respect to SST for 238 hPa but shows an increasing trend for the 262-hPa level. Analysis conducted in this study represents a unique observational basis against which model simulations of upper-tropospheric humidity and its connection to deep convection and SST can be evaluated.
Prevalence and Status of Major Fungal Foliar Diseases of Cucumber in Western Himalayan State of Jammu & Kashmir, India

Cucumber (Cucumis sativus L.), belonging to the family Cucurbitaceae, is one of the oldest cultivated vegetable which originated from South Asia (Wehner and Robinson, 1991; Doijode 2001; Renner et al., 2007). Worldwide cucumber ranks 4 th most widely cultivated vegetable crop after tomato, cabbage and onion (Shetty and Wehner, 2002). Cucumber is a creeping vine that bears cylindrical fruits which are mostly used for culinary purpose and occasionally for non-food use. The fruits are eaten afresh as salad, pickle or cooked. Global cucumber production is 71.36 million tonnes procured from 2.11 million ha area with yield value of 33.5 t/ha (FAOSTAT, 2013). About 80% world cucumber production occurs in Asia alone with China as a leading producer (Wehner and Maynard, 2003). Cucurbits including cucumber share about 5.6% of total vegetables produced in India and according to FAO estimate cucurbit crops in India are cultivated on about 4.29 million ha with the productivity of 10.52 t/ha and is widely grown in all states, including Jammu and Kashmir.
Long-Term Efficacy and Safety of Linagliptin in PatientsWith Type 2 Diabetes and Severe Renal Impairment A 1-year, randomized, double-blind, placebo-controlled study

RESEARCH DESIGN AND METHODSdIn this 1-year, double-blind study, 133 patients with type 2 diabetes (HbA1c 7.0–10.0%) and severe RI (estimated glomerular filtration rate [eGFR],30 mL/min/1.73 m) at screening were randomized to linagliptin 5 mg (n = 68) or placebo (n = 65) once daily, added to existing background therapy. The primary efficacy end point was HbA1c change from baseline to week 12. Efficacy and safety end points were assessed after 1 year.
CORRELATION OF INTER CANINE WIDTH WITH VERTICAL FACIAL MORPHOLOGY IN PATIENTS SEEKING ORTHODONTIC TREATMENT

It is generally accepted that an important relationship exists between the arch width and vertical facial morphology. The size and form of the dental arches can have considerable implications on orthodontic diagnosis and treatment planning. The objective of this study was to determine relationship between inter canine width and vertical facial morphology in a sample of patients seeking orthodontic treatment. This cross sectional comparative study was conducted at out patients department of Orthodontics, KRL Hospital, Islamabad from 11-03-2010 to 11-09-2010. 100 subjects were included in the study. 100 lateral cephalometric radiographs and dental casts were obtained, and traced. On lateral cephalograph, SN-MP angle was measured. On dental casts inter-canine widths were measured. When comparison was made between Inter-canine width with SN-MP angle, the p-value for all the results was significant with a p value <0.05. It was concluded from this study that there is a statistically significant relationship between inter canine widths and vertical facial morphology.
Adaptive Primal-Dual Hybrid Gradient Methods for Saddle-Point Problems

The Primal-Dual hybrid gradient (PDHG) method is a powerful optimization scheme that breaks complex problems into simple sub-steps. Unfortunately, PDHG methods require the user to choose stepsize parameters, and the speed of convergence is highly sensitive to this choice. We introduce new adaptive PDHG schemes that automatically tune the stepsize parameters for fast convergence without user inputs. We prove rigorous convergence results for our methods, and identify the conditions required for convergence. We also develop practical implementations of adaptive schemes that formally satisfy the convergence requirements. Numerical experiments show that adaptive PDHG methods have advantages over non-adaptive implementations in terms of both efficiency and simplicity for the user.
Flat G-bundles and regular strata for reductive groups

Let LG be an algebraic loop group associated to a reductive group G. A fundamental stratum is a triple consisting of a point x in the Bruhat-Tits building of LG, a nonnegative real number r, and a character of the corresponding depth r Moy-Prasad subgroup that satisfies a non-degeneracy condition. The authors have shown in previous work how to associate a fundamental stratum to a formal flat G-bundle and used this theory to define its slope. In this paper, the authors study fundamental strata that satisfy an additional regular semisimplicity condition. Flat G-bundles that contain regular strata have a natural reduction of structure to a (not necessarily split) maximal torus in LG, and the authors use this property to compute the corresponding moduli spaces. This theory generalizes a natural condition on algebraic connections (the GL_n case), which plays an important role in the global analysis of meromorphic connections and isomonodromic deformations.
Proactive Interference in Numeric Evaluations: The Rating Polarity Effect Date – December 20, 2015

Seven experiments document a new form of proactive interference in numerical cognition that can systematically influence consumer evaluations. This interference stems from the polarity of the rating format (rating polarity) used for product evaluation—we call it the rating polarity effect. Numeric ratings for products can be presented using a bigger-is-better format (1=bad, 5=good) or smaller-is-better format with reversed rating poles (1=good, 5=bad). Even when underlying product information does not change, we show that the polarity of the rating format can influence judgments and decisions. The first three experiments show evidence for the rating polarity effect in bidding behavior, visual perception, purchase intent, and willingness-to-pay; and the effect is shown to persist even when consumers make repeated judgments. The next four experiments examine why consumers’ decisions are prone to the rating polarity effect. We show that implicit numerical associations held in memory interfere with consumers’ use of explicitly provided rating formats, and influence consumers’ judgments without their awareness. As such, we find that the rating polarity effect is moderated by (i) cultural norms that define the implicit numerical association, (ii) mindsets that encourage reliance on implicit memory, and (iii) individual propensity to rely on implicit, but not explicit, memory.